2021-02-04 23:00:40.904: INFO @api : Created output directory with name ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:00:40.904: INFO @api : Creating dataset 2021-02-04 23:00:43.142: WARNING @lazy_loader : The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see: * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md * https://github.com/tensorflow/addons * https://github.com/tensorflow/io (for I/O related ops) If you depend on functionality not listed there, please file an issue. 2021-02-04 23:00:43.144: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/utils/profiler.py:12: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead. 2021-02-04 23:00:43.447: INFO @api : RecognitionDatasetWrapper created 2021-02-04 23:00:43.448: INFO @api : Creating a model 2021-02-04 23:00:43.462: INFO @model : Creating TF model on 1 GPU devices 2021-02-04 23:00:43.463: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:417: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. 2021-02-04 23:00:43.629: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:142: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead. 2021-02-04 23:00:43.629: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:142: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead. 2021-02-04 23:00:43.629: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:142: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead. 2021-02-04 23:00:43.629: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:143: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead. 2021-02-04 23:00:43.631: WARNING @module_wrapper: From /home/red/faces/models/recognition.py:102: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. 2021-02-04 23:00:43.633: WARNING @deprecation : From /usr/lib/python3.9/site-packages/tensorflow_core/contrib/layers/python/layers/layers.py:1057: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use `layer.__call__` method instead. 2021-02-04 23:00:43.910: WARNING @deprecation : From /home/red/faces/models/recognition.py:112: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead. 2021-02-04 23:00:43.913: WARNING @deprecation : From /home/red/faces/models/recognition.py:113: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dropout instead. 2021-02-04 23:00:43.920: WARNING @deprecation : From /home/red/faces/models/recognition.py:115: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead. 2021-02-04 23:00:43.967: WARNING @module_wrapper: From /home/red/faces/models/recognition.py:47: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead. 2021-02-04 23:00:43.968: WARNING @deprecation : From /home/red/faces/models/recognition.py:47: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where 2021-02-04 23:00:43.994: INFO @recognition : Using regression model with L1 loss 2021-02-04 23:00:44.001: WARNING @deprecation : From /home/red/faces/models/recognition.py:171: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version. Instructions for updating: Future major versions of TensorFlow will allow gradients to flow into the labels input on backprop by default. See `tf.nn.softmax_cross_entropy_with_logits_v2`. 2021-02-04 23:00:44.016: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:149: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead. 2021-02-04 23:00:44.016: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/graph_tower.py:80: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. 2021-02-04 23:00:44.749: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:182: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead. 2021-02-04 23:00:44.918: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:506: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead. 2021-02-04 23:00:45.614: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:507: The name tf.local_variables_initializer is deprecated. Please use tf.compat.v1.local_variables_initializer instead. 2021-02-04 23:00:45.694: INFO @model : Number of parameters: 777707 2021-02-04 23:00:45.694: INFO @api : RecognitionModel created 2021-02-04 23:00:45.694: INFO @api : Creating hooks 2021-02-04 23:00:45.701: INFO @api : ComputeStats created 2021-02-04 23:00:45.702: INFO @api : LogVariables created 2021-02-04 23:00:45.702: INFO @api : LogProfile created 2021-02-04 23:00:45.702: INFO @api : LogDir created 2021-02-04 23:00:45.765: INFO @loader : Loading faiss with AVX2 support. 2021-02-04 23:00:45.766: INFO @loader : Loading faiss. 2021-02-04 23:00:45.778: WARNING @abstract_hook: Argument `n_epochs` was not recognized by `ComputeRecognitionMetrics`. Recognized arguments are `['output_dir', 'skip_epochs', 'streams', 'kwargs']`. 2021-02-04 23:00:45.778: INFO @api : ComputeRecognitionMetrics created 2021-02-04 23:00:45.778: INFO @api : ComputeRecognitionMaeCategories created 2021-02-04 23:00:45.779: INFO @api : EvaluateConfidence created 2021-02-04 23:00:45.779: INFO @api : EvaluateGenderAgeModel created 2021-02-04 23:00:45.779: INFO @api : EvaluateGenderAgeModel created 2021-02-04 23:00:45.779: INFO @api : SaveAgePredictions created 2021-02-04 23:00:45.780: INFO @api : SaveGenderPredictions created 2021-02-04 23:00:45.780: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/hooks/write_tensorboard.py:78: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. 2021-02-04 23:00:45.780: INFO @api : WriteTensorBoard created 2021-02-04 23:00:45.780: INFO @api : DecayLR created 2021-02-04 23:00:45.781: INFO @api : SaveBest created 2021-02-04 23:00:45.781: INFO @api : StopAfter created 2021-02-04 23:00:45.782: INFO @api : ShowProgress created 2021-02-04 23:00:45.782: WARNING @api : TrainingTrace hook added between hooks. Add it to your config.yaml to suppress this warning. 2021-02-04 23:00:45.782: INFO @api : Creating main loop 2021-02-04 23:00:45.782: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:00:45.783: INFO @main_loop : Training epoch 1 2021-02-04 23:00:46.100: WARNING @main_loop : Some sources provided by the stream do not match model placeholders. Set `main_loop.on_unused_sources` to `ignore` in order to suppress this warning. Extra sources: ['orig_box', 'box_points', 'filenames'] 2021-02-04 23:01:05.368: INFO @log_variables: train loss nanmean: 3.021443 2021-02-04 23:01:05.368: INFO @log_variables: train age_loss mean: 23.645115 2021-02-04 23:01:05.369: INFO @log_variables: train gender_loss mean: 0.808069 2021-02-04 23:01:05.369: INFO @log_variables: train age_mae mean: 22.231314 2021-02-04 23:01:05.369: INFO @log_variables: train gender_accuracy mean: 0.528935 2021-02-04 23:01:05.369: INFO @log_variables: train gender_confidence/loss nanmean: 0.091975 2021-02-04 23:01:05.369: INFO @log_variables: train gender_confidence/accuracy mean: 0.507668 2021-02-04 23:01:05.369: INFO @log_variables: train age_confidence/loss mean: 0.045304 2021-02-04 23:01:05.369: INFO @log_variables: train age_confidence/accuracy mean: 0.768663 2021-02-04 23:01:05.369: INFO @log_variables: valid loss nanmean: 2.335190 2021-02-04 23:01:05.369: INFO @log_variables: valid age_loss mean: 17.497816 2021-02-04 23:01:05.369: INFO @log_variables: valid gender_loss mean: 0.684923 2021-02-04 23:01:05.369: INFO @log_variables: valid age_mae mean: 16.321791 2021-02-04 23:01:05.369: INFO @log_variables: valid gender_accuracy mean: 0.579528 2021-02-04 23:01:05.369: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076487 2021-02-04 23:01:05.369: INFO @log_variables: valid gender_confidence/accuracy mean: 0.497491 2021-02-04 23:01:05.369: INFO @log_variables: valid age_confidence/loss mean: 0.045335 2021-02-04 23:01:05.369: INFO @log_variables: valid age_confidence/accuracy mean: 0.797291 2021-02-04 23:01:05.369: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:01:05.371: INFO @metrics_hook: train age_mae: 22.231 +-0.272 (13824) 2021-02-04 23:01:05.373: INFO @metrics_hook: train gender_accuracy: 0.529 +-0.008 (13824) 2021-02-04 23:01:06.835: INFO @metrics_hook: valid age_mae: 16.322 +-0.388 (3986) 2021-02-04 23:01:06.836: INFO @metrics_hook: valid gender_accuracy: 0.580 +-0.016 (3986) 2021-02-04 23:01:08.080: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/hooks/write_tensorboard.py:109: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead. 2021-02-04 23:01:08.113: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/hooks/decay_lr.py:89: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. 2021-02-04 23:01:08.197: INFO @decay_lr : LR updated to `0.0002985` 2021-02-04 23:01:08.198: WARNING @module_wrapper: From /home/red/emloop-tensorflow/emloop_tensorflow/model.py:303: The name tf.train.write_graph is deprecated. Please use tf.io.write_graph instead. 2021-02-04 23:01:08.535: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:01:08.536: INFO @log_profile : T train: 15.753981 2021-02-04 23:01:08.536: INFO @log_profile : T valid: 2.061887 2021-02-04 23:01:08.536: INFO @log_profile : T read data: 0.709230 2021-02-04 23:01:08.536: INFO @log_profile : T hooks: 4.180409 2021-02-04 23:01:08.536: INFO @main_loop : Epoch 1 done 2021-02-04 23:01:08.536: INFO @main_loop : Training epoch 2 2021-02-04 23:01:26.036: INFO @log_variables: train loss nanmean: 2.565134 2021-02-04 23:01:26.036: INFO @log_variables: train age_loss mean: 19.498087 2021-02-04 23:01:26.036: INFO @log_variables: train gender_loss mean: 0.734665 2021-02-04 23:01:26.036: INFO @log_variables: train age_mae mean: 18.238434 2021-02-04 23:01:26.036: INFO @log_variables: train gender_accuracy mean: 0.543764 2021-02-04 23:01:26.036: INFO @log_variables: train gender_confidence/loss nanmean: 0.082601 2021-02-04 23:01:26.036: INFO @log_variables: train gender_confidence/accuracy mean: 0.508174 2021-02-04 23:01:26.036: INFO @log_variables: train age_confidence/loss mean: 0.042103 2021-02-04 23:01:26.037: INFO @log_variables: train age_confidence/accuracy mean: 0.778646 2021-02-04 23:01:26.037: INFO @log_variables: valid loss nanmean: 2.232242 2021-02-04 23:01:26.037: INFO @log_variables: valid age_loss mean: 16.345625 2021-02-04 23:01:26.037: INFO @log_variables: valid gender_loss mean: 0.689792 2021-02-04 23:01:26.037: INFO @log_variables: valid age_mae mean: 15.245604 2021-02-04 23:01:26.037: INFO @log_variables: valid gender_accuracy mean: 0.588309 2021-02-04 23:01:26.037: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075956 2021-02-04 23:01:26.037: INFO @log_variables: valid gender_confidence/accuracy mean: 0.562218 2021-02-04 23:01:26.037: INFO @log_variables: valid age_confidence/loss mean: 0.043236 2021-02-04 23:01:26.037: INFO @log_variables: valid age_confidence/accuracy mean: 0.809082 2021-02-04 23:01:26.037: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:01:26.039: INFO @metrics_hook: train age_mae: 18.238 +-0.204 (13824) 2021-02-04 23:01:26.040: INFO @metrics_hook: train gender_accuracy: 0.544 +-0.008 (13824) 2021-02-04 23:01:27.651: INFO @metrics_hook: valid age_mae: 15.246 +-0.340 (3986) 2021-02-04 23:01:27.652: INFO @metrics_hook: valid gender_accuracy: 0.588 +-0.016 (3986) 2021-02-04 23:01:28.886: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:01:28.886: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.20 2021-02-04 23:01:28.887: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.20 2021-02-04 23:01:28.887: INFO @evaluate_confidence: Average confidence of all samples 0.51 +- 0.20 2021-02-04 23:01:28.975: INFO @evaluate_confidence: Previous accuracy would be: 54.38 2021-02-04 23:01:28.975: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51] 2021-02-04 23:01:28.975: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [54.91] 2021-02-04 23:01:28.975: INFO @evaluate_confidence: Dropped ratios are: [48.65] 2021-02-04 23:01:28.981: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:01:28.981: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.25 +- 0.18 2021-02-04 23:01:28.981: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.24 +- 0.18 2021-02-04 23:01:28.981: INFO @evaluate_confidence: Average confidence of all samples 0.24 +- 0.18 2021-02-04 23:01:29.069: INFO @evaluate_confidence: Previous accuracy would be: 15.32 2021-02-04 23:01:29.069: INFO @evaluate_confidence: Possible optimal thresholds are: [0.24, 0.25] 2021-02-04 23:01:29.070: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [16.72, 16.58] 2021-02-04 23:01:29.070: INFO @evaluate_confidence: Dropped ratios are: [58.51, 60.57] 2021-02-04 23:01:29.072: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:01:29.072: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.09 2021-02-04 23:01:29.072: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.09 2021-02-04 23:01:29.072: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.09 2021-02-04 23:01:29.169: INFO @evaluate_confidence: Previous accuracy would be: 58.83 2021-02-04 23:01:29.169: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55] 2021-02-04 23:01:29.169: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [60.32] 2021-02-04 23:01:29.169: INFO @evaluate_confidence: Dropped ratios are: [44.36] 2021-02-04 23:01:29.171: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:01:29.171: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.20 +- 0.08 2021-02-04 23:01:29.171: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.19 +- 0.08 2021-02-04 23:01:29.171: INFO @evaluate_confidence: Average confidence of all samples 0.20 +- 0.08 2021-02-04 23:01:29.263: INFO @evaluate_confidence: Previous accuracy would be: 18.87 2021-02-04 23:01:29.263: INFO @evaluate_confidence: Possible optimal thresholds are: [0.19, 0.2] 2021-02-04 23:01:29.263: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [20.31, 19.97] 2021-02-04 23:01:29.263: INFO @evaluate_confidence: Dropped ratios are: [49.72, 56.65] 2021-02-04 23:01:29.271: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:01:29.616: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:01:29.673: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:01:30.104: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:01:30.255: INFO @decay_lr : LR updated to `0.0002970075` 2021-02-04 23:01:30.462: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:01:30.463: INFO @log_profile : T train: 12.997586 2021-02-04 23:01:30.463: INFO @log_profile : T valid: 1.602838 2021-02-04 23:01:30.463: INFO @log_profile : T read data: 0.399439 2021-02-04 23:01:30.463: INFO @log_profile : T hooks: 6.876853 2021-02-04 23:01:30.463: INFO @main_loop : Epoch 2 done 2021-02-04 23:01:30.463: INFO @main_loop : Training epoch 3 2021-02-04 23:01:46.301: INFO @log_variables: train loss nanmean: 2.491067 2021-02-04 23:01:46.302: INFO @log_variables: train age_loss mean: 19.037649 2021-02-04 23:01:46.302: INFO @log_variables: train gender_loss mean: 0.705543 2021-02-04 23:01:46.302: INFO @log_variables: train age_mae mean: 17.885481 2021-02-04 23:01:46.302: INFO @log_variables: train gender_accuracy mean: 0.557543 2021-02-04 23:01:46.302: INFO @log_variables: train gender_confidence/loss nanmean: 0.078057 2021-02-04 23:01:46.302: INFO @log_variables: train gender_confidence/accuracy mean: 0.518722 2021-02-04 23:01:46.302: INFO @log_variables: train age_confidence/loss mean: 0.040912 2021-02-04 23:01:46.302: INFO @log_variables: train age_confidence/accuracy mean: 0.794597 2021-02-04 23:01:46.302: INFO @log_variables: valid loss nanmean: 2.266809 2021-02-04 23:01:46.302: INFO @log_variables: valid age_loss mean: 16.812582 2021-02-04 23:01:46.302: INFO @log_variables: valid gender_loss mean: 0.680884 2021-02-04 23:01:46.302: INFO @log_variables: valid age_mae mean: 15.801315 2021-02-04 23:01:46.302: INFO @log_variables: valid gender_accuracy mean: 0.583041 2021-02-04 23:01:46.302: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076226 2021-02-04 23:01:46.302: INFO @log_variables: valid gender_confidence/accuracy mean: 0.493728 2021-02-04 23:01:46.302: INFO @log_variables: valid age_confidence/loss mean: 0.043181 2021-02-04 23:01:46.302: INFO @log_variables: valid age_confidence/accuracy mean: 0.801555 2021-02-04 23:01:46.302: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:01:46.304: INFO @metrics_hook: train age_mae: 17.885 +-0.207 (13807) 2021-02-04 23:01:46.306: INFO @metrics_hook: train gender_accuracy: 0.558 +-0.008 (13807) 2021-02-04 23:01:47.743: INFO @metrics_hook: valid age_mae: 15.801 +-0.364 (3986) 2021-02-04 23:01:47.743: INFO @metrics_hook: valid gender_accuracy: 0.583 +-0.016 (3986) 2021-02-04 23:01:49.061: INFO @decay_lr : LR updated to `0.00029552245` 2021-02-04 23:01:49.062: INFO @log_profile : T train: 13.087962 2021-02-04 23:01:49.063: INFO @log_profile : T valid: 1.602124 2021-02-04 23:01:49.063: INFO @log_profile : T read data: 0.516227 2021-02-04 23:01:49.063: INFO @log_profile : T hooks: 3.344253 2021-02-04 23:01:49.063: INFO @main_loop : Epoch 3 done 2021-02-04 23:01:49.063: INFO @main_loop : Training epoch 4 2021-02-04 23:02:04.654: INFO @log_variables: train loss nanmean: 2.447862 2021-02-04 23:02:04.654: INFO @log_variables: train age_loss mean: 18.681396 2021-02-04 23:02:04.654: INFO @log_variables: train gender_loss mean: 0.695969 2021-02-04 23:02:04.654: INFO @log_variables: train age_mae mean: 17.574558 2021-02-04 23:02:04.654: INFO @log_variables: train gender_accuracy mean: 0.563513 2021-02-04 23:02:04.654: INFO @log_variables: train gender_confidence/loss nanmean: 0.076783 2021-02-04 23:02:04.654: INFO @log_variables: train gender_confidence/accuracy mean: 0.521846 2021-02-04 23:02:04.654: INFO @log_variables: train age_confidence/loss mean: 0.040072 2021-02-04 23:02:04.655: INFO @log_variables: train age_confidence/accuracy mean: 0.809462 2021-02-04 23:02:04.655: INFO @log_variables: valid loss nanmean: 2.202857 2021-02-04 23:02:04.655: INFO @log_variables: valid age_loss mean: 16.165657 2021-02-04 23:02:04.655: INFO @log_variables: valid gender_loss mean: 0.676703 2021-02-04 23:02:04.655: INFO @log_variables: valid age_mae mean: 15.171565 2021-02-04 23:02:04.655: INFO @log_variables: valid gender_accuracy mean: 0.579277 2021-02-04 23:02:04.655: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075459 2021-02-04 23:02:04.655: INFO @log_variables: valid gender_confidence/accuracy mean: 0.562469 2021-02-04 23:02:04.655: INFO @log_variables: valid age_confidence/loss mean: 0.042608 2021-02-04 23:02:04.655: INFO @log_variables: valid age_confidence/accuracy mean: 0.797291 2021-02-04 23:02:04.655: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:02:04.658: INFO @metrics_hook: train age_mae: 17.575 +-0.204 (13824) 2021-02-04 23:02:04.660: INFO @metrics_hook: train gender_accuracy: 0.564 +-0.008 (13824) 2021-02-04 23:02:06.161: INFO @metrics_hook: valid age_mae: 15.172 +-0.350 (3986) 2021-02-04 23:02:06.161: INFO @metrics_hook: valid gender_accuracy: 0.579 +-0.016 (3986) 2021-02-04 23:02:07.394: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:02:07.394: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.13 2021-02-04 23:02:07.394: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.13 2021-02-04 23:02:07.394: INFO @evaluate_confidence: Average confidence of all samples 0.53 +- 0.13 2021-02-04 23:02:07.705: INFO @evaluate_confidence: Previous accuracy would be: 56.35 2021-02-04 23:02:07.705: INFO @evaluate_confidence: Possible optimal thresholds are: [] 2021-02-04 23:02:07.705: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [] 2021-02-04 23:02:07.705: INFO @evaluate_confidence: Dropped ratios are: [] 2021-02-04 23:02:07.711: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:02:07.711: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.27 +- 0.14 2021-02-04 23:02:07.711: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.25 +- 0.13 2021-02-04 23:02:07.711: INFO @evaluate_confidence: Average confidence of all samples 0.25 +- 0.13 2021-02-04 23:02:07.798: INFO @evaluate_confidence: Previous accuracy would be: 16.63 2021-02-04 23:02:07.799: INFO @evaluate_confidence: Possible optimal thresholds are: [0.25, 0.26, 0.27] 2021-02-04 23:02:07.799: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [18.45, 18.82, 18.89] 2021-02-04 23:02:07.799: INFO @evaluate_confidence: Dropped ratios are: [54.83, 57.57, 60.06] 2021-02-04 23:02:07.801: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:02:07.801: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.05 2021-02-04 23:02:07.801: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.05 2021-02-04 23:02:07.801: INFO @evaluate_confidence: Average confidence of all samples 0.57 +- 0.05 2021-02-04 23:02:07.891: INFO @evaluate_confidence: Previous accuracy would be: 57.93 2021-02-04 23:02:07.891: INFO @evaluate_confidence: Possible optimal thresholds are: [] 2021-02-04 23:02:07.891: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [] 2021-02-04 23:02:07.891: INFO @evaluate_confidence: Dropped ratios are: [] 2021-02-04 23:02:07.893: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:02:07.893: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.28 +- 0.08 2021-02-04 23:02:07.893: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.26 +- 0.08 2021-02-04 23:02:07.893: INFO @evaluate_confidence: Average confidence of all samples 0.26 +- 0.08 2021-02-04 23:02:07.963: INFO @evaluate_confidence: Previous accuracy would be: 20.22 2021-02-04 23:02:07.963: INFO @evaluate_confidence: Possible optimal thresholds are: [0.26, 0.27, 0.28] 2021-02-04 23:02:07.964: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [23.32, 23.99, 24.83] 2021-02-04 23:02:07.964: INFO @evaluate_confidence: Dropped ratios are: [48.04, 53.99, 60.39] 2021-02-04 23:02:07.972: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:02:08.320: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:02:08.374: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:02:08.614: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:02:08.750: INFO @decay_lr : LR updated to `0.00029404485` 2021-02-04 23:02:08.751: INFO @log_profile : T train: 12.948222 2021-02-04 23:02:08.751: INFO @log_profile : T valid: 1.587621 2021-02-04 23:02:08.751: INFO @log_profile : T read data: 0.415074 2021-02-04 23:02:08.751: INFO @log_profile : T hooks: 4.687272 2021-02-04 23:02:08.751: INFO @main_loop : Epoch 4 done 2021-02-04 23:02:08.751: INFO @main_loop : Training epoch 5 2021-02-04 23:02:24.188: INFO @log_variables: train loss nanmean: 2.405268 2021-02-04 23:02:24.188: INFO @log_variables: train age_loss mean: 18.354445 2021-02-04 23:02:24.188: INFO @log_variables: train gender_loss mean: 0.683881 2021-02-04 23:02:24.188: INFO @log_variables: train age_mae mean: 17.282457 2021-02-04 23:02:24.188: INFO @log_variables: train gender_accuracy mean: 0.570891 2021-02-04 23:02:24.188: INFO @log_variables: train gender_confidence/loss nanmean: 0.075606 2021-02-04 23:02:24.188: INFO @log_variables: train gender_confidence/accuracy mean: 0.532118 2021-02-04 23:02:24.188: INFO @log_variables: train age_confidence/loss mean: 0.039366 2021-02-04 23:02:24.188: INFO @log_variables: train age_confidence/accuracy mean: 0.813006 2021-02-04 23:02:24.188: INFO @log_variables: valid loss nanmean: 2.155702 2021-02-04 23:02:24.188: INFO @log_variables: valid age_loss mean: 15.759314 2021-02-04 23:02:24.188: INFO @log_variables: valid gender_loss mean: 0.662699 2021-02-04 23:02:24.189: INFO @log_variables: valid age_mae mean: 14.788631 2021-02-04 23:02:24.189: INFO @log_variables: valid gender_accuracy mean: 0.604616 2021-02-04 23:02:24.189: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075552 2021-02-04 23:02:24.189: INFO @log_variables: valid gender_confidence/accuracy mean: 0.578023 2021-02-04 23:02:24.189: INFO @log_variables: valid age_confidence/loss mean: 0.045032 2021-02-04 23:02:24.189: INFO @log_variables: valid age_confidence/accuracy mean: 0.781485 2021-02-04 23:02:24.189: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:02:24.191: INFO @metrics_hook: train age_mae: 17.282 +-0.202 (13824) 2021-02-04 23:02:24.192: INFO @metrics_hook: train gender_accuracy: 0.571 +-0.008 (13824) 2021-02-04 23:02:25.591: INFO @metrics_hook: valid age_mae: 14.789 +-0.349 (3986) 2021-02-04 23:02:25.592: INFO @metrics_hook: valid gender_accuracy: 0.605 +-0.015 (3986) 2021-02-04 23:02:27.145: INFO @decay_lr : LR updated to `0.0002925746` 2021-02-04 23:02:27.327: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:02:27.328: INFO @log_profile : T train: 12.836364 2021-02-04 23:02:27.328: INFO @log_profile : T valid: 1.560417 2021-02-04 23:02:27.328: INFO @log_profile : T read data: 0.395291 2021-02-04 23:02:27.328: INFO @log_profile : T hooks: 3.735956 2021-02-04 23:02:27.329: INFO @main_loop : Epoch 5 done 2021-02-04 23:02:27.329: INFO @main_loop : Training epoch 6 2021-02-04 23:02:42.965: INFO @log_variables: train loss nanmean: 2.356335 2021-02-04 23:02:42.965: INFO @log_variables: train age_loss mean: 17.926115 2021-02-04 23:02:42.965: INFO @log_variables: train gender_loss mean: 0.672736 2021-02-04 23:02:42.965: INFO @log_variables: train age_mae mean: 16.888773 2021-02-04 23:02:42.965: INFO @log_variables: train gender_accuracy mean: 0.586297 2021-02-04 23:02:42.965: INFO @log_variables: train gender_confidence/loss nanmean: 0.075453 2021-02-04 23:02:42.965: INFO @log_variables: train gender_confidence/accuracy mean: 0.549069 2021-02-04 23:02:42.965: INFO @log_variables: train age_confidence/loss mean: 0.039656 2021-02-04 23:02:42.965: INFO @log_variables: train age_confidence/accuracy mean: 0.813211 2021-02-04 23:02:42.965: INFO @log_variables: valid loss nanmean: 2.140757 2021-02-04 23:02:42.965: INFO @log_variables: valid age_loss mean: 15.626265 2021-02-04 23:02:42.965: INFO @log_variables: valid gender_loss mean: 0.657042 2021-02-04 23:02:42.965: INFO @log_variables: valid age_mae mean: 14.685014 2021-02-04 23:02:42.966: INFO @log_variables: valid gender_accuracy mean: 0.614400 2021-02-04 23:02:42.966: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076863 2021-02-04 23:02:42.966: INFO @log_variables: valid gender_confidence/accuracy mean: 0.551932 2021-02-04 23:02:42.966: INFO @log_variables: valid age_confidence/loss mean: 0.046013 2021-02-04 23:02:42.966: INFO @log_variables: valid age_confidence/accuracy mean: 0.773206 2021-02-04 23:02:42.966: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:02:42.967: INFO @metrics_hook: train age_mae: 16.889 +-0.202 (13807) 2021-02-04 23:02:42.969: INFO @metrics_hook: train gender_accuracy: 0.586 +-0.008 (13807) 2021-02-04 23:02:44.416: INFO @metrics_hook: valid age_mae: 14.685 +-0.356 (3986) 2021-02-04 23:02:44.416: INFO @metrics_hook: valid gender_accuracy: 0.614 +-0.015 (3986) 2021-02-04 23:02:45.628: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:02:45.628: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.10 2021-02-04 23:02:45.628: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.10 2021-02-04 23:02:45.628: INFO @evaluate_confidence: Average confidence of all samples 0.54 +- 0.10 2021-02-04 23:02:45.734: INFO @evaluate_confidence: Previous accuracy would be: 58.63 2021-02-04 23:02:45.735: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54] 2021-02-04 23:02:45.735: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [60.9, 61.58] 2021-02-04 23:02:45.735: INFO @evaluate_confidence: Dropped ratios are: [46.73, 51.04] 2021-02-04 23:02:45.744: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:02:45.745: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.28 +- 0.12 2021-02-04 23:02:45.745: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.26 +- 0.11 2021-02-04 23:02:45.745: INFO @evaluate_confidence: Average confidence of all samples 0.26 +- 0.11 2021-02-04 23:02:45.834: INFO @evaluate_confidence: Previous accuracy would be: 17.73 2021-02-04 23:02:45.835: INFO @evaluate_confidence: Possible optimal thresholds are: [0.26, 0.27, 0.28] 2021-02-04 23:02:45.835: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [20.74, 20.94, 21.46] 2021-02-04 23:02:45.835: INFO @evaluate_confidence: Dropped ratios are: [53.37, 56.84, 59.98] 2021-02-04 23:02:45.837: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:02:45.837: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.07 2021-02-04 23:02:45.837: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.06 2021-02-04 23:02:45.837: INFO @evaluate_confidence: Average confidence of all samples 0.52 +- 0.06 2021-02-04 23:02:45.927: INFO @evaluate_confidence: Previous accuracy would be: 61.44 2021-02-04 23:02:45.927: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51] 2021-02-04 23:02:45.927: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [64.25] 2021-02-04 23:02:45.927: INFO @evaluate_confidence: Dropped ratios are: [42.6] 2021-02-04 23:02:45.929: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:02:45.929: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.28 +- 0.09 2021-02-04 23:02:45.929: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.25 +- 0.07 2021-02-04 23:02:45.929: INFO @evaluate_confidence: Average confidence of all samples 0.25 +- 0.08 2021-02-04 23:02:46.013: INFO @evaluate_confidence: Previous accuracy would be: 23.21 2021-02-04 23:02:46.013: INFO @evaluate_confidence: Possible optimal thresholds are: [0.25, 0.26, 0.27, 0.28] 2021-02-04 23:02:46.013: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [28.36, 29.7, 30.85, 31.4] 2021-02-04 23:02:46.013: INFO @evaluate_confidence: Dropped ratios are: [58.15, 65.2, 69.99, 74.91] 2021-02-04 23:02:46.022: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:02:46.350: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:02:46.404: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:02:46.628: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:02:46.763: INFO @decay_lr : LR updated to `0.00029111173` 2021-02-04 23:02:46.944: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:02:46.946: INFO @log_profile : T train: 12.926924 2021-02-04 23:02:46.946: INFO @log_profile : T valid: 1.558951 2021-02-04 23:02:46.946: INFO @log_profile : T read data: 0.502756 2021-02-04 23:02:46.946: INFO @log_profile : T hooks: 4.578564 2021-02-04 23:02:46.946: INFO @main_loop : Epoch 6 done 2021-02-04 23:02:46.946: INFO @main_loop : Training epoch 7 2021-02-04 23:03:02.412: INFO @log_variables: train loss nanmean: 2.346042 2021-02-04 23:03:02.413: INFO @log_variables: train age_loss mean: 17.826906 2021-02-04 23:03:02.413: INFO @log_variables: train gender_loss mean: 0.670450 2021-02-04 23:03:02.413: INFO @log_variables: train age_mae mean: 16.808872 2021-02-04 23:03:02.413: INFO @log_variables: train gender_accuracy mean: 0.595052 2021-02-04 23:03:02.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.075976 2021-02-04 23:03:02.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.556424 2021-02-04 23:03:02.413: INFO @log_variables: train age_confidence/loss mean: 0.039939 2021-02-04 23:03:02.413: INFO @log_variables: train age_confidence/accuracy mean: 0.814091 2021-02-04 23:03:02.413: INFO @log_variables: valid loss nanmean: 2.119778 2021-02-04 23:03:02.413: INFO @log_variables: valid age_loss mean: 15.467796 2021-02-04 23:03:02.413: INFO @log_variables: valid gender_loss mean: 0.649247 2021-02-04 23:03:02.413: INFO @log_variables: valid age_mae mean: 14.536724 2021-02-04 23:03:02.413: INFO @log_variables: valid gender_accuracy mean: 0.632213 2021-02-04 23:03:02.413: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077581 2021-02-04 23:03:02.413: INFO @log_variables: valid gender_confidence/accuracy mean: 0.597341 2021-02-04 23:03:02.413: INFO @log_variables: valid age_confidence/loss mean: 0.045809 2021-02-04 23:03:02.413: INFO @log_variables: valid age_confidence/accuracy mean: 0.779227 2021-02-04 23:03:02.414: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:03:02.415: INFO @metrics_hook: train age_mae: 16.809 +-0.203 (13824) 2021-02-04 23:03:02.417: INFO @metrics_hook: train gender_accuracy: 0.595 +-0.008 (13824) 2021-02-04 23:03:03.853: INFO @metrics_hook: valid age_mae: 14.537 +-0.342 (3986) 2021-02-04 23:03:03.853: INFO @metrics_hook: valid gender_accuracy: 0.632 +-0.015 (3986) 2021-02-04 23:03:05.517: INFO @decay_lr : LR updated to `0.00028965616` 2021-02-04 23:03:05.711: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:03:05.713: INFO @log_profile : T train: 12.825344 2021-02-04 23:03:05.713: INFO @log_profile : T valid: 1.598853 2021-02-04 23:03:05.713: INFO @log_profile : T read data: 0.400352 2021-02-04 23:03:05.713: INFO @log_profile : T hooks: 3.892852 2021-02-04 23:03:05.713: INFO @main_loop : Epoch 7 done 2021-02-04 23:03:05.713: INFO @main_loop : Training epoch 8 2021-02-04 23:03:21.308: INFO @log_variables: train loss nanmean: 2.324539 2021-02-04 23:03:21.308: INFO @log_variables: train age_loss mean: 17.676424 2021-02-04 23:03:21.308: INFO @log_variables: train gender_loss mean: 0.661494 2021-02-04 23:03:21.308: INFO @log_variables: train age_mae mean: 16.680935 2021-02-04 23:03:21.308: INFO @log_variables: train gender_accuracy mean: 0.605179 2021-02-04 23:03:21.308: INFO @log_variables: train gender_confidence/loss nanmean: 0.075929 2021-02-04 23:03:21.308: INFO @log_variables: train gender_confidence/accuracy mean: 0.573061 2021-02-04 23:03:21.308: INFO @log_variables: train age_confidence/loss mean: 0.040305 2021-02-04 23:03:21.308: INFO @log_variables: train age_confidence/accuracy mean: 0.811560 2021-02-04 23:03:21.308: INFO @log_variables: valid loss nanmean: 2.100868 2021-02-04 23:03:21.308: INFO @log_variables: valid age_loss mean: 15.297482 2021-02-04 23:03:21.308: INFO @log_variables: valid gender_loss mean: 0.646876 2021-02-04 23:03:21.308: INFO @log_variables: valid age_mae mean: 14.377687 2021-02-04 23:03:21.308: INFO @log_variables: valid gender_accuracy mean: 0.636729 2021-02-04 23:03:21.308: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077614 2021-02-04 23:03:21.308: INFO @log_variables: valid gender_confidence/accuracy mean: 0.604365 2021-02-04 23:03:21.308: INFO @log_variables: valid age_confidence/loss mean: 0.044504 2021-02-04 23:03:21.308: INFO @log_variables: valid age_confidence/accuracy mean: 0.782740 2021-02-04 23:03:21.308: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:03:21.310: INFO @metrics_hook: train age_mae: 16.681 +-0.204 (13824) 2021-02-04 23:03:21.311: INFO @metrics_hook: train gender_accuracy: 0.605 +-0.008 (13824) 2021-02-04 23:03:22.818: INFO @metrics_hook: valid age_mae: 14.378 +-0.346 (3986) 2021-02-04 23:03:22.818: INFO @metrics_hook: valid gender_accuracy: 0.637 +-0.015 (3986) 2021-02-04 23:03:24.117: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:03:24.117: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.08 2021-02-04 23:03:24.117: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.08 2021-02-04 23:03:24.117: INFO @evaluate_confidence: Average confidence of all samples 0.55 +- 0.08 2021-02-04 23:03:24.218: INFO @evaluate_confidence: Previous accuracy would be: 60.52 2021-02-04 23:03:24.218: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54] 2021-02-04 23:03:24.218: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [63.93] 2021-02-04 23:03:24.218: INFO @evaluate_confidence: Dropped ratios are: [46.2] 2021-02-04 23:03:24.224: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:03:24.224: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.30 +- 0.13 2021-02-04 23:03:24.224: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.26 +- 0.10 2021-02-04 23:03:24.224: INFO @evaluate_confidence: Average confidence of all samples 0.27 +- 0.11 2021-02-04 23:03:24.317: INFO @evaluate_confidence: Previous accuracy would be: 18.79 2021-02-04 23:03:24.317: INFO @evaluate_confidence: Possible optimal thresholds are: [0.26, 0.27, 0.28, 0.29, 0.3] 2021-02-04 23:03:24.318: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [21.86, 22.31, 22.71, 23.19, 23.8] 2021-02-04 23:03:24.318: INFO @evaluate_confidence: Dropped ratios are: [51.86, 55.82, 59.65, 63.1, 66.48] 2021-02-04 23:03:24.320: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:03:24.320: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.06 2021-02-04 23:03:24.320: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.05 2021-02-04 23:03:24.320: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.06 2021-02-04 23:03:24.403: INFO @evaluate_confidence: Previous accuracy would be: 63.67 2021-02-04 23:03:24.403: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55] 2021-02-04 23:03:24.403: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [66.21] 2021-02-04 23:03:24.403: INFO @evaluate_confidence: Dropped ratios are: [43.8] 2021-02-04 23:03:24.405: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:03:24.405: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.30 +- 0.10 2021-02-04 23:03:24.405: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.27 +- 0.07 2021-02-04 23:03:24.405: INFO @evaluate_confidence: Average confidence of all samples 0.28 +- 0.08 2021-02-04 23:03:24.492: INFO @evaluate_confidence: Previous accuracy would be: 22.40 2021-02-04 23:03:24.492: INFO @evaluate_confidence: Possible optimal thresholds are: [0.27, 0.28, 0.29, 0.3] 2021-02-04 23:03:24.492: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [27.03, 28.19, 28.3, 29.25] 2021-02-04 23:03:24.492: INFO @evaluate_confidence: Dropped ratios are: [63.62, 69.29, 73.58, 76.67] 2021-02-04 23:03:24.502: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:03:24.840: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:03:24.897: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:03:25.158: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:03:25.307: INFO @decay_lr : LR updated to `0.00028820787` 2021-02-04 23:03:25.513: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:03:25.515: INFO @log_profile : T train: 12.921039 2021-02-04 23:03:25.515: INFO @log_profile : T valid: 1.633914 2021-02-04 23:03:25.515: INFO @log_profile : T read data: 0.397015 2021-02-04 23:03:25.515: INFO @log_profile : T hooks: 4.799849 2021-02-04 23:03:25.515: INFO @main_loop : Epoch 8 done 2021-02-04 23:03:25.515: INFO @main_loop : Training epoch 9 2021-02-04 23:03:41.092: INFO @log_variables: train loss nanmean: 2.305389 2021-02-04 23:03:41.092: INFO @log_variables: train age_loss mean: 17.491804 2021-02-04 23:03:41.092: INFO @log_variables: train gender_loss mean: 0.659284 2021-02-04 23:03:41.092: INFO @log_variables: train age_mae mean: 16.522772 2021-02-04 23:03:41.092: INFO @log_variables: train gender_accuracy mean: 0.607228 2021-02-04 23:03:41.092: INFO @log_variables: train gender_confidence/loss nanmean: 0.075767 2021-02-04 23:03:41.092: INFO @log_variables: train gender_confidence/accuracy mean: 0.574926 2021-02-04 23:03:41.092: INFO @log_variables: train age_confidence/loss mean: 0.040108 2021-02-04 23:03:41.092: INFO @log_variables: train age_confidence/accuracy mean: 0.817701 2021-02-04 23:03:41.092: INFO @log_variables: valid loss nanmean: 2.125628 2021-02-04 23:03:41.093: INFO @log_variables: valid age_loss mean: 15.630204 2021-02-04 23:03:41.093: INFO @log_variables: valid gender_loss mean: 0.640173 2021-02-04 23:03:41.093: INFO @log_variables: valid age_mae mean: 14.735906 2021-02-04 23:03:41.093: INFO @log_variables: valid gender_accuracy mean: 0.648269 2021-02-04 23:03:41.093: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078063 2021-02-04 23:03:41.093: INFO @log_variables: valid gender_confidence/accuracy mean: 0.603864 2021-02-04 23:03:41.093: INFO @log_variables: valid age_confidence/loss mean: 0.044662 2021-02-04 23:03:41.093: INFO @log_variables: valid age_confidence/accuracy mean: 0.776718 2021-02-04 23:03:41.093: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:03:41.095: INFO @metrics_hook: train age_mae: 16.523 +-0.202 (13807) 2021-02-04 23:03:41.097: INFO @metrics_hook: train gender_accuracy: 0.607 +-0.008 (13807) 2021-02-04 23:03:42.553: INFO @metrics_hook: valid age_mae: 14.736 +-0.359 (3986) 2021-02-04 23:03:42.553: INFO @metrics_hook: valid gender_accuracy: 0.648 +-0.015 (3986) 2021-02-04 23:03:43.863: INFO @decay_lr : LR updated to `0.00028676682` 2021-02-04 23:03:44.039: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:03:44.040: INFO @log_profile : T train: 12.795221 2021-02-04 23:03:44.040: INFO @log_profile : T valid: 1.623709 2021-02-04 23:03:44.040: INFO @log_profile : T read data: 0.507470 2021-02-04 23:03:44.040: INFO @log_profile : T hooks: 3.549660 2021-02-04 23:03:44.040: INFO @main_loop : Epoch 9 done 2021-02-04 23:03:44.041: INFO @main_loop : Training epoch 10 2021-02-04 23:04:00.176: INFO @log_variables: train loss nanmean: 2.278481 2021-02-04 23:04:00.176: INFO @log_variables: train age_loss mean: 17.249729 2021-02-04 23:04:00.176: INFO @log_variables: train gender_loss mean: 0.654107 2021-02-04 23:04:00.176: INFO @log_variables: train age_mae mean: 16.304283 2021-02-04 23:04:00.176: INFO @log_variables: train gender_accuracy mean: 0.614873 2021-02-04 23:04:00.176: INFO @log_variables: train gender_confidence/loss nanmean: 0.076161 2021-02-04 23:04:00.176: INFO @log_variables: train gender_confidence/accuracy mean: 0.591146 2021-02-04 23:04:00.176: INFO @log_variables: train age_confidence/loss mean: 0.039521 2021-02-04 23:04:00.176: INFO @log_variables: train age_confidence/accuracy mean: 0.820674 2021-02-04 23:04:00.176: INFO @log_variables: valid loss nanmean: 2.069841 2021-02-04 23:04:00.176: INFO @log_variables: valid age_loss mean: 15.065459 2021-02-04 23:04:00.176: INFO @log_variables: valid gender_loss mean: 0.633028 2021-02-04 23:04:00.177: INFO @log_variables: valid age_mae mean: 14.160558 2021-02-04 23:04:00.177: INFO @log_variables: valid gender_accuracy mean: 0.655544 2021-02-04 23:04:00.177: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078459 2021-02-04 23:04:00.177: INFO @log_variables: valid gender_confidence/accuracy mean: 0.630457 2021-02-04 23:04:00.177: INFO @log_variables: valid age_confidence/loss mean: 0.046315 2021-02-04 23:04:00.177: INFO @log_variables: valid age_confidence/accuracy mean: 0.761415 2021-02-04 23:04:00.177: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:04:00.179: INFO @metrics_hook: train age_mae: 16.304 +-0.201 (13824) 2021-02-04 23:04:00.180: INFO @metrics_hook: train gender_accuracy: 0.615 +-0.008 (13824) 2021-02-04 23:04:02.077: INFO @metrics_hook: valid age_mae: 14.161 +-0.343 (3986) 2021-02-04 23:04:02.078: INFO @metrics_hook: valid gender_accuracy: 0.656 +-0.015 (3986) 2021-02-04 23:04:03.349: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:04:03.349: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.08 2021-02-04 23:04:03.349: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.07 2021-02-04 23:04:03.349: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.08 2021-02-04 23:04:03.451: INFO @evaluate_confidence: Previous accuracy would be: 61.49 2021-02-04 23:04:03.451: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55] 2021-02-04 23:04:03.452: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [64.8, 65.22] 2021-02-04 23:04:03.452: INFO @evaluate_confidence: Dropped ratios are: [44.05, 50.01] 2021-02-04 23:04:03.457: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:04:03.458: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.32 +- 0.16 2021-02-04 23:04:03.458: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.26 +- 0.09 2021-02-04 23:04:03.458: INFO @evaluate_confidence: Average confidence of all samples 0.27 +- 0.11 2021-02-04 23:04:03.544: INFO @evaluate_confidence: Previous accuracy would be: 19.06 2021-02-04 23:04:03.544: INFO @evaluate_confidence: Possible optimal thresholds are: [0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32] 2021-02-04 23:04:03.546: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [22.85, 23.57, 24.08, 24.96, 25.81, 26.85, 28.13] 2021-02-04 23:04:03.546: INFO @evaluate_confidence: Dropped ratios are: [54.14, 58.36, 62.26, 65.91, 69.5, 72.74, 75.62] 2021-02-04 23:04:03.547: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:04:03.547: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.07 2021-02-04 23:04:03.547: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.06 2021-02-04 23:04:03.547: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.07 2021-02-04 23:04:03.635: INFO @evaluate_confidence: Previous accuracy would be: 65.55 2021-02-04 23:04:03.635: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56] 2021-02-04 23:04:03.635: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [68.6, 68.91] 2021-02-04 23:04:03.635: INFO @evaluate_confidence: Dropped ratios are: [41.67, 47.87] 2021-02-04 23:04:03.637: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:04:03.637: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.33 +- 0.12 2021-02-04 23:04:03.637: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.08 2021-02-04 23:04:03.637: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.09 2021-02-04 23:04:03.736: INFO @evaluate_confidence: Previous accuracy would be: 23.53 2021-02-04 23:04:03.736: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33] 2021-02-04 23:04:03.737: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [28.05, 28.13, 28.74] 2021-02-04 23:04:03.737: INFO @evaluate_confidence: Dropped ratios are: [66.28, 73.16, 77.22] 2021-02-04 23:04:03.746: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:04:04.089: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:04.144: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:04:04.366: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:04.418: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:04:04.762: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:04.830: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:04:04.831: INFO @evaluate_gender-age_model: groups 0 19.295334 1 18.175854 2 13.742254 3 9.774729 4 9.900635 5 14.248282 6 21.140768 7 24.610486 Name: errors, dtype: float64 2021-02-04 23:04:04.832: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:04:05.076: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:05.136: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:04:05.138: INFO @evaluate_gender-age_model: groups 0 15.436866 1 16.937078 2 14.721544 3 10.653149 4 9.867108 5 12.154462 6 18.731450 7 22.231572 Name: errors, dtype: float64 2021-02-04 23:04:05.239: INFO @decay_lr : LR updated to `0.000285333` 2021-02-04 23:04:05.436: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:04:05.438: INFO @log_profile : T train: 12.886436 2021-02-04 23:04:05.438: INFO @log_profile : T valid: 1.646894 2021-02-04 23:04:05.438: INFO @log_profile : T read data: 0.397151 2021-02-04 23:04:05.438: INFO @log_profile : T hooks: 6.418042 2021-02-04 23:04:05.438: INFO @main_loop : Epoch 10 done 2021-02-04 23:04:05.438: INFO @main_loop : Training epoch 11 2021-02-04 23:04:20.525: INFO @log_variables: train loss nanmean: 2.269064 2021-02-04 23:04:20.526: INFO @log_variables: train age_loss mean: 17.159948 2021-02-04 23:04:20.526: INFO @log_variables: train gender_loss mean: 0.652246 2021-02-04 23:04:20.526: INFO @log_variables: train age_mae mean: 16.225889 2021-02-04 23:04:20.526: INFO @log_variables: train gender_accuracy mean: 0.620009 2021-02-04 23:04:20.526: INFO @log_variables: train gender_confidence/loss nanmean: 0.076508 2021-02-04 23:04:20.526: INFO @log_variables: train gender_confidence/accuracy mean: 0.588180 2021-02-04 23:04:20.526: INFO @log_variables: train age_confidence/loss mean: 0.039609 2021-02-04 23:04:20.526: INFO @log_variables: train age_confidence/accuracy mean: 0.817781 2021-02-04 23:04:20.526: INFO @log_variables: valid loss nanmean: 2.051039 2021-02-04 23:04:20.526: INFO @log_variables: valid age_loss mean: 14.819553 2021-02-04 23:04:20.526: INFO @log_variables: valid gender_loss mean: 0.639125 2021-02-04 23:04:20.526: INFO @log_variables: valid age_mae mean: 13.923537 2021-02-04 23:04:20.526: INFO @log_variables: valid gender_accuracy mean: 0.634471 2021-02-04 23:04:20.526: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076576 2021-02-04 23:04:20.526: INFO @log_variables: valid gender_confidence/accuracy mean: 0.618665 2021-02-04 23:04:20.526: INFO @log_variables: valid age_confidence/loss mean: 0.046208 2021-02-04 23:04:20.526: INFO @log_variables: valid age_confidence/accuracy mean: 0.762418 2021-02-04 23:04:20.526: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:04:20.528: INFO @metrics_hook: train age_mae: 16.226 +-0.203 (13824) 2021-02-04 23:04:20.530: INFO @metrics_hook: train gender_accuracy: 0.620 +-0.008 (13824) 2021-02-04 23:04:22.038: INFO @metrics_hook: valid age_mae: 13.924 +-0.341 (3986) 2021-02-04 23:04:22.038: INFO @metrics_hook: valid gender_accuracy: 0.634 +-0.015 (3986) 2021-02-04 23:04:23.444: INFO @decay_lr : LR updated to `0.00028390632` 2021-02-04 23:04:23.445: INFO @log_profile : T train: 12.486547 2021-02-04 23:04:23.445: INFO @log_profile : T valid: 1.565871 2021-02-04 23:04:23.445: INFO @log_profile : T read data: 0.395416 2021-02-04 23:04:23.445: INFO @log_profile : T hooks: 3.513354 2021-02-04 23:04:23.446: INFO @main_loop : Epoch 11 done 2021-02-04 23:04:23.446: INFO @main_loop : Training epoch 12 2021-02-04 23:04:38.987: INFO @log_variables: train loss nanmean: 2.243751 2021-02-04 23:04:38.987: INFO @log_variables: train age_loss mean: 16.969418 2021-02-04 23:04:38.987: INFO @log_variables: train gender_loss mean: 0.642020 2021-02-04 23:04:38.987: INFO @log_variables: train age_mae mean: 16.046612 2021-02-04 23:04:38.987: INFO @log_variables: train gender_accuracy mean: 0.629391 2021-02-04 23:04:38.987: INFO @log_variables: train gender_confidence/loss nanmean: 0.076601 2021-02-04 23:04:38.987: INFO @log_variables: train gender_confidence/accuracy mean: 0.597016 2021-02-04 23:04:38.987: INFO @log_variables: train age_confidence/loss mean: 0.040821 2021-02-04 23:04:38.987: INFO @log_variables: train age_confidence/accuracy mean: 0.808068 2021-02-04 23:04:38.987: INFO @log_variables: valid loss nanmean: 2.011560 2021-02-04 23:04:38.987: INFO @log_variables: valid age_loss mean: 14.461694 2021-02-04 23:04:38.987: INFO @log_variables: valid gender_loss mean: 0.628880 2021-02-04 23:04:38.987: INFO @log_variables: valid age_mae mean: 13.578193 2021-02-04 23:04:38.987: INFO @log_variables: valid gender_accuracy mean: 0.650778 2021-02-04 23:04:38.987: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077684 2021-02-04 23:04:38.987: INFO @log_variables: valid gender_confidence/accuracy mean: 0.632464 2021-02-04 23:04:38.988: INFO @log_variables: valid age_confidence/loss mean: 0.047468 2021-02-04 23:04:38.988: INFO @log_variables: valid age_confidence/accuracy mean: 0.755896 2021-02-04 23:04:38.988: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:04:38.989: INFO @metrics_hook: train age_mae: 16.047 +-0.202 (13807) 2021-02-04 23:04:38.989: INFO @metrics_hook: train gender_accuracy: 0.629 +-0.008 (13807) 2021-02-04 23:04:40.925: INFO @metrics_hook: valid age_mae: 13.578 +-0.338 (3986) 2021-02-04 23:04:40.926: INFO @metrics_hook: valid gender_accuracy: 0.651 +-0.015 (3986) 2021-02-04 23:04:42.170: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:04:42.171: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.08 2021-02-04 23:04:42.171: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.07 2021-02-04 23:04:42.171: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.07 2021-02-04 23:04:42.277: INFO @evaluate_confidence: Previous accuracy would be: 62.94 2021-02-04 23:04:42.277: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56] 2021-02-04 23:04:42.277: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [66.86, 67.93] 2021-02-04 23:04:42.277: INFO @evaluate_confidence: Dropped ratios are: [48.1, 54.31] 2021-02-04 23:04:42.283: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:04:42.283: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.33 +- 0.15 2021-02-04 23:04:42.283: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.28 +- 0.09 2021-02-04 23:04:42.283: INFO @evaluate_confidence: Average confidence of all samples 0.29 +- 0.11 2021-02-04 23:04:42.372: INFO @evaluate_confidence: Previous accuracy would be: 20.04 2021-02-04 23:04:42.372: INFO @evaluate_confidence: Possible optimal thresholds are: [0.28, 0.29, 0.3, 0.31, 0.32, 0.33] 2021-02-04 23:04:42.374: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [23.94, 24.81, 25.7, 26.56, 27.89, 28.94] 2021-02-04 23:04:42.374: INFO @evaluate_confidence: Dropped ratios are: [57.46, 62.03, 66.38, 70.08, 73.59, 76.8] 2021-02-04 23:04:42.375: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:04:42.375: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.08 2021-02-04 23:04:42.376: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.06 2021-02-04 23:04:42.376: INFO @evaluate_confidence: Average confidence of all samples 0.56 +- 0.07 2021-02-04 23:04:42.464: INFO @evaluate_confidence: Previous accuracy would be: 65.08 2021-02-04 23:04:42.464: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55] 2021-02-04 23:04:42.464: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [70.44, 71.05] 2021-02-04 23:04:42.464: INFO @evaluate_confidence: Dropped ratios are: [45.94, 53.11] 2021-02-04 23:04:42.466: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:04:42.466: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.33 +- 0.11 2021-02-04 23:04:42.466: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.07 2021-02-04 23:04:42.466: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.09 2021-02-04 23:04:42.557: INFO @evaluate_confidence: Previous accuracy would be: 24.76 2021-02-04 23:04:42.557: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33] 2021-02-04 23:04:42.558: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [29.84, 30.39, 30.75, 32.14] 2021-02-04 23:04:42.558: INFO @evaluate_confidence: Dropped ratios are: [64.78, 70.12, 74.39, 77.52] 2021-02-04 23:04:42.567: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:04:42.882: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:42.938: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:04:43.179: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:04:43.321: INFO @decay_lr : LR updated to `0.00028248678` 2021-02-04 23:04:43.322: INFO @log_profile : T train: 12.800674 2021-02-04 23:04:43.322: INFO @log_profile : T valid: 1.614637 2021-02-04 23:04:43.322: INFO @log_profile : T read data: 0.487674 2021-02-04 23:04:43.322: INFO @log_profile : T hooks: 4.924166 2021-02-04 23:04:43.322: INFO @main_loop : Epoch 12 done 2021-02-04 23:04:43.322: INFO @main_loop : Training epoch 13 2021-02-04 23:04:58.274: INFO @log_variables: train loss nanmean: 2.214814 2021-02-04 23:04:58.274: INFO @log_variables: train age_loss mean: 16.685781 2021-02-04 23:04:58.274: INFO @log_variables: train gender_loss mean: 0.638272 2021-02-04 23:04:58.274: INFO @log_variables: train age_mae mean: 15.772997 2021-02-04 23:04:58.274: INFO @log_variables: train gender_accuracy mean: 0.632812 2021-02-04 23:04:58.274: INFO @log_variables: train gender_confidence/loss nanmean: 0.076783 2021-02-04 23:04:58.274: INFO @log_variables: train gender_confidence/accuracy mean: 0.605686 2021-02-04 23:04:58.274: INFO @log_variables: train age_confidence/loss mean: 0.040895 2021-02-04 23:04:58.274: INFO @log_variables: train age_confidence/accuracy mean: 0.808883 2021-02-04 23:04:58.274: INFO @log_variables: valid loss nanmean: 1.938239 2021-02-04 23:04:58.274: INFO @log_variables: valid age_loss mean: 13.838897 2021-02-04 23:04:58.275: INFO @log_variables: valid gender_loss mean: 0.609690 2021-02-04 23:04:58.275: INFO @log_variables: valid age_mae mean: 12.964998 2021-02-04 23:04:58.275: INFO @log_variables: valid gender_accuracy mean: 0.671851 2021-02-04 23:04:58.275: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078186 2021-02-04 23:04:58.275: INFO @log_variables: valid gender_confidence/accuracy mean: 0.659308 2021-02-04 23:04:58.275: INFO @log_variables: valid age_confidence/loss mean: 0.047708 2021-02-04 23:04:58.275: INFO @log_variables: valid age_confidence/accuracy mean: 0.756397 2021-02-04 23:04:58.275: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:04:58.277: INFO @metrics_hook: train age_mae: 15.773 +-0.200 (13824) 2021-02-04 23:04:58.278: INFO @metrics_hook: train gender_accuracy: 0.633 +-0.008 (13824) 2021-02-04 23:04:59.748: INFO @metrics_hook: valid age_mae: 12.965 +-0.318 (3986) 2021-02-04 23:04:59.749: INFO @metrics_hook: valid gender_accuracy: 0.672 +-0.015 (3986) 2021-02-04 23:05:01.083: INFO @decay_lr : LR updated to `0.00028107435` 2021-02-04 23:05:01.277: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:05:01.279: INFO @log_profile : T train: 12.401766 2021-02-04 23:05:01.279: INFO @log_profile : T valid: 1.499200 2021-02-04 23:05:01.279: INFO @log_profile : T read data: 0.408330 2021-02-04 23:05:01.279: INFO @log_profile : T hooks: 3.598898 2021-02-04 23:05:01.279: INFO @main_loop : Epoch 13 done 2021-02-04 23:05:01.279: INFO @main_loop : Training epoch 14 2021-02-04 23:05:16.759: INFO @log_variables: train loss nanmean: 2.204752 2021-02-04 23:05:16.759: INFO @log_variables: train age_loss mean: 16.614132 2021-02-04 23:05:16.759: INFO @log_variables: train gender_loss mean: 0.632870 2021-02-04 23:05:16.759: INFO @log_variables: train age_mae mean: 15.718395 2021-02-04 23:05:16.759: INFO @log_variables: train gender_accuracy mean: 0.641782 2021-02-04 23:05:16.759: INFO @log_variables: train gender_confidence/loss nanmean: 0.076940 2021-02-04 23:05:16.759: INFO @log_variables: train gender_confidence/accuracy mean: 0.618056 2021-02-04 23:05:16.759: INFO @log_variables: train age_confidence/loss mean: 0.042100 2021-02-04 23:05:16.759: INFO @log_variables: train age_confidence/accuracy mean: 0.799262 2021-02-04 23:05:16.760: INFO @log_variables: valid loss nanmean: 2.157862 2021-02-04 23:05:16.760: INFO @log_variables: valid age_loss mean: 15.661115 2021-02-04 23:05:16.760: INFO @log_variables: valid gender_loss mean: 0.672165 2021-02-04 23:05:16.760: INFO @log_variables: valid age_mae mean: 14.814669 2021-02-04 23:05:16.760: INFO @log_variables: valid gender_accuracy mean: 0.609383 2021-02-04 23:05:16.760: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074959 2021-02-04 23:05:16.760: INFO @log_variables: valid gender_confidence/accuracy mean: 0.612393 2021-02-04 23:05:16.760: INFO @log_variables: valid age_confidence/loss mean: 0.048107 2021-02-04 23:05:16.760: INFO @log_variables: valid age_confidence/accuracy mean: 0.730808 2021-02-04 23:05:16.760: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:05:16.762: INFO @metrics_hook: train age_mae: 15.718 +-0.201 (13824) 2021-02-04 23:05:16.763: INFO @metrics_hook: train gender_accuracy: 0.642 +-0.008 (13824) 2021-02-04 23:05:18.339: INFO @metrics_hook: valid age_mae: 14.815 +-0.374 (3986) 2021-02-04 23:05:18.340: INFO @metrics_hook: valid gender_accuracy: 0.609 +-0.015 (3986) 2021-02-04 23:05:19.561: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:05:19.562: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.08 2021-02-04 23:05:19.562: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.07 2021-02-04 23:05:19.562: INFO @evaluate_confidence: Average confidence of all samples 0.57 +- 0.08 2021-02-04 23:05:19.680: INFO @evaluate_confidence: Previous accuracy would be: 64.18 2021-02-04 23:05:19.680: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56] 2021-02-04 23:05:19.680: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [68.87, 69.75] 2021-02-04 23:05:19.680: INFO @evaluate_confidence: Dropped ratios are: [45.81, 51.43] 2021-02-04 23:05:19.686: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:05:19.686: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.34 +- 0.14 2021-02-04 23:05:19.686: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.29 +- 0.08 2021-02-04 23:05:19.687: INFO @evaluate_confidence: Average confidence of all samples 0.30 +- 0.10 2021-02-04 23:05:19.774: INFO @evaluate_confidence: Previous accuracy would be: 21.27 2021-02-04 23:05:19.775: INFO @evaluate_confidence: Possible optimal thresholds are: [0.29, 0.3, 0.31, 0.32, 0.33, 0.34] 2021-02-04 23:05:19.776: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [25.73, 26.64, 27.56, 28.5, 29.9, 31.09] 2021-02-04 23:05:19.776: INFO @evaluate_confidence: Dropped ratios are: [57.4, 62.09, 66.88, 71.01, 74.5, 77.39] 2021-02-04 23:05:19.778: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:05:19.778: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.11 2021-02-04 23:05:19.778: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.10 2021-02-04 23:05:19.778: INFO @evaluate_confidence: Average confidence of all samples 0.57 +- 0.11 2021-02-04 23:05:19.858: INFO @evaluate_confidence: Previous accuracy would be: 60.94 2021-02-04 23:05:19.859: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:05:19.859: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [68.91, 69.1, 69.73, 70.38] 2021-02-04 23:05:19.859: INFO @evaluate_confidence: Dropped ratios are: [47.39, 52.26, 56.32, 59.43] 2021-02-04 23:05:19.861: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:05:19.861: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.35 +- 0.14 2021-02-04 23:05:19.861: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:05:19.861: INFO @evaluate_confidence: Average confidence of all samples 0.33 +- 0.12 2021-02-04 23:05:19.952: INFO @evaluate_confidence: Previous accuracy would be: 24.64 2021-02-04 23:05:19.952: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34] 2021-02-04 23:05:19.953: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [26.99, 27.53] 2021-02-04 23:05:19.953: INFO @evaluate_confidence: Dropped ratios are: [65.88, 69.02] 2021-02-04 23:05:19.962: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:05:20.311: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:05:20.366: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:05:21.231: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:05:21.368: INFO @decay_lr : LR updated to `0.00027966898` 2021-02-04 23:05:21.369: INFO @log_profile : T train: 12.802172 2021-02-04 23:05:21.370: INFO @log_profile : T valid: 1.635717 2021-02-04 23:05:21.370: INFO @log_profile : T read data: 0.411029 2021-02-04 23:05:21.370: INFO @log_profile : T hooks: 5.192037 2021-02-04 23:05:21.370: INFO @main_loop : Epoch 14 done 2021-02-04 23:05:21.370: INFO @main_loop : Training epoch 15 2021-02-04 23:05:36.360: INFO @log_variables: train loss nanmean: 2.180351 2021-02-04 23:05:36.360: INFO @log_variables: train age_loss mean: 16.357620 2021-02-04 23:05:36.360: INFO @log_variables: train gender_loss mean: 0.631989 2021-02-04 23:05:36.360: INFO @log_variables: train age_mae mean: 15.471117 2021-02-04 23:05:36.360: INFO @log_variables: train gender_accuracy mean: 0.639675 2021-02-04 23:05:36.360: INFO @log_variables: train gender_confidence/loss nanmean: 0.076640 2021-02-04 23:05:36.360: INFO @log_variables: train gender_confidence/accuracy mean: 0.607301 2021-02-04 23:05:36.360: INFO @log_variables: train age_confidence/loss mean: 0.042119 2021-02-04 23:05:36.360: INFO @log_variables: train age_confidence/accuracy mean: 0.799812 2021-02-04 23:05:36.360: INFO @log_variables: valid loss nanmean: 1.948853 2021-02-04 23:05:36.360: INFO @log_variables: valid age_loss mean: 13.830503 2021-02-04 23:05:36.361: INFO @log_variables: valid gender_loss mean: 0.624770 2021-02-04 23:05:36.361: INFO @log_variables: valid age_mae mean: 12.976927 2021-02-04 23:05:36.361: INFO @log_variables: valid gender_accuracy mean: 0.645008 2021-02-04 23:05:36.361: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076857 2021-02-04 23:05:36.361: INFO @log_variables: valid gender_confidence/accuracy mean: 0.622930 2021-02-04 23:05:36.361: INFO @log_variables: valid age_confidence/loss mean: 0.046704 2021-02-04 23:05:36.361: INFO @log_variables: valid age_confidence/accuracy mean: 0.761164 2021-02-04 23:05:36.361: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:05:36.363: INFO @metrics_hook: train age_mae: 15.471 +-0.197 (13807) 2021-02-04 23:05:36.364: INFO @metrics_hook: train gender_accuracy: 0.640 +-0.008 (13807) 2021-02-04 23:05:37.859: INFO @metrics_hook: valid age_mae: 12.977 +-0.307 (3986) 2021-02-04 23:05:37.859: INFO @metrics_hook: valid gender_accuracy: 0.645 +-0.015 (3986) 2021-02-04 23:05:39.199: INFO @decay_lr : LR updated to `0.00027827063` 2021-02-04 23:05:39.200: INFO @log_profile : T train: 12.408786 2021-02-04 23:05:39.200: INFO @log_profile : T valid: 1.456873 2021-02-04 23:05:39.200: INFO @log_profile : T read data: 0.493304 2021-02-04 23:05:39.200: INFO @log_profile : T hooks: 3.422408 2021-02-04 23:05:39.200: INFO @main_loop : Epoch 15 done 2021-02-04 23:05:39.200: INFO @main_loop : Training epoch 16 2021-02-04 23:05:55.181: INFO @log_variables: train loss nanmean: 2.170710 2021-02-04 23:05:55.181: INFO @log_variables: train age_loss mean: 16.409243 2021-02-04 23:05:55.181: INFO @log_variables: train gender_loss mean: 0.615740 2021-02-04 23:05:55.181: INFO @log_variables: train age_mae mean: 15.528622 2021-02-04 23:05:55.181: INFO @log_variables: train gender_accuracy mean: 0.661506 2021-02-04 23:05:55.181: INFO @log_variables: train gender_confidence/loss nanmean: 0.077509 2021-02-04 23:05:55.181: INFO @log_variables: train gender_confidence/accuracy mean: 0.629096 2021-02-04 23:05:55.182: INFO @log_variables: train age_confidence/loss mean: 0.041687 2021-02-04 23:05:55.182: INFO @log_variables: train age_confidence/accuracy mean: 0.800333 2021-02-04 23:05:55.182: INFO @log_variables: valid loss nanmean: 1.968589 2021-02-04 23:05:55.182: INFO @log_variables: valid age_loss mean: 13.984377 2021-02-04 23:05:55.182: INFO @log_variables: valid gender_loss mean: 0.631365 2021-02-04 23:05:55.182: INFO @log_variables: valid age_mae mean: 13.145807 2021-02-04 23:05:55.182: INFO @log_variables: valid gender_accuracy mean: 0.643502 2021-02-04 23:05:55.182: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075350 2021-02-04 23:05:55.182: INFO @log_variables: valid gender_confidence/accuracy mean: 0.647767 2021-02-04 23:05:55.182: INFO @log_variables: valid age_confidence/loss mean: 0.047964 2021-02-04 23:05:55.182: INFO @log_variables: valid age_confidence/accuracy mean: 0.756899 2021-02-04 23:05:55.182: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:05:55.184: INFO @metrics_hook: train age_mae: 15.529 +-0.199 (13823) 2021-02-04 23:05:55.186: INFO @metrics_hook: train gender_accuracy: 0.662 +-0.008 (13823) 2021-02-04 23:05:56.654: INFO @metrics_hook: valid age_mae: 13.146 +-0.324 (3986) 2021-02-04 23:05:56.654: INFO @metrics_hook: valid gender_accuracy: 0.644 +-0.015 (3986) 2021-02-04 23:05:57.967: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:05:57.967: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.10 2021-02-04 23:05:57.967: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.08 2021-02-04 23:05:57.967: INFO @evaluate_confidence: Average confidence of all samples 0.58 +- 0.09 2021-02-04 23:05:58.072: INFO @evaluate_confidence: Previous accuracy would be: 66.15 2021-02-04 23:05:58.072: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:05:58.073: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [71.64, 72.28, 73.0, 73.97] 2021-02-04 23:05:58.073: INFO @evaluate_confidence: Dropped ratios are: [43.04, 47.78, 52.36, 56.87] 2021-02-04 23:05:58.079: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:05:58.079: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.35 +- 0.16 2021-02-04 23:05:58.079: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.29 +- 0.09 2021-02-04 23:05:58.079: INFO @evaluate_confidence: Average confidence of all samples 0.30 +- 0.11 2021-02-04 23:05:58.176: INFO @evaluate_confidence: Previous accuracy would be: 21.18 2021-02-04 23:05:58.176: INFO @evaluate_confidence: Possible optimal thresholds are: [0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35] 2021-02-04 23:05:58.178: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [26.48, 27.28, 28.2, 29.46, 30.52, 31.6, 32.89] 2021-02-04 23:05:58.178: INFO @evaluate_confidence: Dropped ratios are: [57.62, 62.42, 66.62, 70.8, 74.23, 77.02, 79.48] 2021-02-04 23:05:58.180: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:05:58.180: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.09 2021-02-04 23:05:58.180: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.07 2021-02-04 23:05:58.180: INFO @evaluate_confidence: Average confidence of all samples 0.57 +- 0.09 2021-02-04 23:05:58.272: INFO @evaluate_confidence: Previous accuracy would be: 64.35 2021-02-04 23:05:58.272: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:05:58.273: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [74.78, 76.11, 77.51, 78.31] 2021-02-04 23:05:58.273: INFO @evaluate_confidence: Dropped ratios are: [50.65, 56.32, 61.29, 65.18] 2021-02-04 23:05:58.275: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:05:58.275: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.32 +- 0.13 2021-02-04 23:05:58.275: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.28 +- 0.07 2021-02-04 23:05:58.276: INFO @evaluate_confidence: Average confidence of all samples 0.29 +- 0.09 2021-02-04 23:05:58.380: INFO @evaluate_confidence: Previous accuracy would be: 25.51 2021-02-04 23:05:58.380: INFO @evaluate_confidence: Possible optimal thresholds are: [0.28, 0.29, 0.3, 0.31] 2021-02-04 23:05:58.381: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [30.03, 30.55, 31.09, 32.3] 2021-02-04 23:05:58.381: INFO @evaluate_confidence: Dropped ratios are: [61.49, 67.89, 72.73, 77.25] 2021-02-04 23:05:58.391: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:05:58.720: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:05:58.773: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:05:58.997: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:05:59.136: INFO @decay_lr : LR updated to `0.00027687926` 2021-02-04 23:05:59.137: INFO @log_profile : T train: 13.295534 2021-02-04 23:05:59.137: INFO @log_profile : T valid: 1.656225 2021-02-04 23:05:59.137: INFO @log_profile : T read data: 0.401439 2021-02-04 23:05:59.137: INFO @log_profile : T hooks: 4.534409 2021-02-04 23:05:59.137: INFO @main_loop : Epoch 16 done 2021-02-04 23:05:59.137: INFO @main_loop : Training epoch 17 2021-02-04 23:06:14.795: INFO @log_variables: train loss nanmean: 2.150416 2021-02-04 23:06:14.795: INFO @log_variables: train age_loss mean: 16.179420 2021-02-04 23:06:14.796: INFO @log_variables: train gender_loss mean: 0.616313 2021-02-04 23:06:14.796: INFO @log_variables: train age_mae mean: 15.306200 2021-02-04 23:06:14.796: INFO @log_variables: train gender_accuracy mean: 0.653863 2021-02-04 23:06:14.796: INFO @log_variables: train gender_confidence/loss nanmean: 0.076954 2021-02-04 23:06:14.796: INFO @log_variables: train gender_confidence/accuracy mean: 0.622613 2021-02-04 23:06:14.796: INFO @log_variables: train age_confidence/loss mean: 0.042321 2021-02-04 23:06:14.796: INFO @log_variables: train age_confidence/accuracy mean: 0.797164 2021-02-04 23:06:14.796: INFO @log_variables: valid loss nanmean: 1.922789 2021-02-04 23:06:14.796: INFO @log_variables: valid age_loss mean: 13.855087 2021-02-04 23:06:14.796: INFO @log_variables: valid gender_loss mean: 0.592319 2021-02-04 23:06:14.796: INFO @log_variables: valid age_mae mean: 13.010154 2021-02-04 23:06:14.796: INFO @log_variables: valid gender_accuracy mean: 0.671601 2021-02-04 23:06:14.796: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077498 2021-02-04 23:06:14.796: INFO @log_variables: valid gender_confidence/accuracy mean: 0.650025 2021-02-04 23:06:14.796: INFO @log_variables: valid age_confidence/loss mean: 0.047266 2021-02-04 23:06:14.796: INFO @log_variables: valid age_confidence/accuracy mean: 0.754139 2021-02-04 23:06:14.796: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:06:14.798: INFO @metrics_hook: train age_mae: 15.306 +-0.198 (13824) 2021-02-04 23:06:14.800: INFO @metrics_hook: train gender_accuracy: 0.654 +-0.008 (13824) 2021-02-04 23:06:16.251: INFO @metrics_hook: valid age_mae: 13.010 +-0.327 (3986) 2021-02-04 23:06:16.252: INFO @metrics_hook: valid gender_accuracy: 0.672 +-0.015 (3986) 2021-02-04 23:06:17.669: INFO @decay_lr : LR updated to `0.00027549488` 2021-02-04 23:06:17.670: INFO @log_profile : T train: 12.987295 2021-02-04 23:06:17.670: INFO @log_profile : T valid: 1.612282 2021-02-04 23:06:17.670: INFO @log_profile : T read data: 0.401449 2021-02-04 23:06:17.670: INFO @log_profile : T hooks: 3.480960 2021-02-04 23:06:17.670: INFO @main_loop : Epoch 17 done 2021-02-04 23:06:17.670: INFO @main_loop : Training epoch 18 2021-02-04 23:06:32.451: INFO @log_variables: train loss nanmean: 2.131103 2021-02-04 23:06:32.451: INFO @log_variables: train age_loss mean: 16.035162 2021-02-04 23:06:32.451: INFO @log_variables: train gender_loss mean: 0.609266 2021-02-04 23:06:32.451: INFO @log_variables: train age_mae mean: 15.173635 2021-02-04 23:06:32.451: INFO @log_variables: train gender_accuracy mean: 0.662273 2021-02-04 23:06:32.451: INFO @log_variables: train gender_confidence/loss nanmean: 0.077189 2021-02-04 23:06:32.451: INFO @log_variables: train gender_confidence/accuracy mean: 0.634823 2021-02-04 23:06:32.451: INFO @log_variables: train age_confidence/loss mean: 0.042294 2021-02-04 23:06:32.451: INFO @log_variables: train age_confidence/accuracy mean: 0.797711 2021-02-04 23:06:32.452: INFO @log_variables: valid loss nanmean: 1.847902 2021-02-04 23:06:32.452: INFO @log_variables: valid age_loss mean: 13.310568 2021-02-04 23:06:32.452: INFO @log_variables: valid gender_loss mean: 0.560073 2021-02-04 23:06:32.452: INFO @log_variables: valid age_mae mean: 12.480800 2021-02-04 23:06:32.452: INFO @log_variables: valid gender_accuracy mean: 0.708981 2021-02-04 23:06:32.452: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078896 2021-02-04 23:06:32.452: INFO @log_variables: valid gender_confidence/accuracy mean: 0.674360 2021-02-04 23:06:32.452: INFO @log_variables: valid age_confidence/loss mean: 0.049797 2021-02-04 23:06:32.452: INFO @log_variables: valid age_confidence/accuracy mean: 0.730557 2021-02-04 23:06:32.452: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:06:32.454: INFO @metrics_hook: train age_mae: 15.174 +-0.199 (13807) 2021-02-04 23:06:32.456: INFO @metrics_hook: train gender_accuracy: 0.662 +-0.008 (13807) 2021-02-04 23:06:34.039: INFO @metrics_hook: valid age_mae: 12.481 +-0.316 (3986) 2021-02-04 23:06:34.039: INFO @metrics_hook: valid gender_accuracy: 0.709 +-0.014 (3986) 2021-02-04 23:06:35.320: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:06:35.320: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.10 2021-02-04 23:06:35.320: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.08 2021-02-04 23:06:35.320: INFO @evaluate_confidence: Average confidence of all samples 0.57 +- 0.10 2021-02-04 23:06:35.422: INFO @evaluate_confidence: Previous accuracy would be: 66.23 2021-02-04 23:06:35.422: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:06:35.423: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [72.03, 72.66, 73.71, 74.76] 2021-02-04 23:06:35.423: INFO @evaluate_confidence: Dropped ratios are: [43.64, 48.11, 52.71, 57.01] 2021-02-04 23:06:35.429: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:06:35.429: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.36 +- 0.17 2021-02-04 23:06:35.430: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.29 +- 0.09 2021-02-04 23:06:35.430: INFO @evaluate_confidence: Average confidence of all samples 0.30 +- 0.11 2021-02-04 23:06:35.518: INFO @evaluate_confidence: Previous accuracy would be: 22.15 2021-02-04 23:06:35.518: INFO @evaluate_confidence: Possible optimal thresholds are: [0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36] 2021-02-04 23:06:35.520: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [27.48, 28.41, 29.5, 30.87, 32.54, 34.36, 35.8, 37.64] 2021-02-04 23:06:35.520: INFO @evaluate_confidence: Dropped ratios are: [56.25, 61.32, 65.92, 70.07, 73.67, 76.48, 79.08, 81.45] 2021-02-04 23:06:35.522: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:06:35.522: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.09 2021-02-04 23:06:35.522: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.07 2021-02-04 23:06:35.522: INFO @evaluate_confidence: Average confidence of all samples 0.58 +- 0.09 2021-02-04 23:06:35.600: INFO @evaluate_confidence: Previous accuracy would be: 70.90 2021-02-04 23:06:35.600: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:06:35.600: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [77.12, 77.82, 78.69, 80.12] 2021-02-04 23:06:35.600: INFO @evaluate_confidence: Dropped ratios are: [40.47, 45.26, 50.08, 55.19] 2021-02-04 23:06:35.602: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:06:35.602: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.34 +- 0.13 2021-02-04 23:06:35.602: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.09 2021-02-04 23:06:35.602: INFO @evaluate_confidence: Average confidence of all samples 0.32 +- 0.10 2021-02-04 23:06:35.700: INFO @evaluate_confidence: Previous accuracy would be: 26.94 2021-02-04 23:06:35.700: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33, 0.34] 2021-02-04 23:06:35.701: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [30.62, 30.73, 31.67, 31.78] 2021-02-04 23:06:35.701: INFO @evaluate_confidence: Dropped ratios are: [54.44, 61.39, 67.29, 72.53] 2021-02-04 23:06:35.711: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:06:36.043: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:06:36.095: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:06:36.328: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:06:37.208: INFO @decay_lr : LR updated to `0.0002741174` 2021-02-04 23:06:37.401: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:06:37.403: INFO @log_profile : T train: 12.186925 2021-02-04 23:06:37.403: INFO @log_profile : T valid: 1.455353 2021-02-04 23:06:37.403: INFO @log_profile : T read data: 0.496062 2021-02-04 23:06:37.403: INFO @log_profile : T hooks: 5.546362 2021-02-04 23:06:37.403: INFO @main_loop : Epoch 18 done 2021-02-04 23:06:37.403: INFO @main_loop : Training epoch 19 2021-02-04 23:06:52.979: INFO @log_variables: train loss nanmean: 2.098107 2021-02-04 23:06:52.980: INFO @log_variables: train age_loss mean: 15.794567 2021-02-04 23:06:52.980: INFO @log_variables: train gender_loss mean: 0.595503 2021-02-04 23:06:52.980: INFO @log_variables: train age_mae mean: 14.944539 2021-02-04 23:06:52.980: INFO @log_variables: train gender_accuracy mean: 0.675709 2021-02-04 23:06:52.980: INFO @log_variables: train gender_confidence/loss nanmean: 0.077324 2021-02-04 23:06:52.980: INFO @log_variables: train gender_confidence/accuracy mean: 0.644314 2021-02-04 23:06:52.980: INFO @log_variables: train age_confidence/loss mean: 0.043546 2021-02-04 23:06:52.980: INFO @log_variables: train age_confidence/accuracy mean: 0.780382 2021-02-04 23:06:52.980: INFO @log_variables: valid loss nanmean: 1.858020 2021-02-04 23:06:52.980: INFO @log_variables: valid age_loss mean: 13.422522 2021-02-04 23:06:52.980: INFO @log_variables: valid gender_loss mean: 0.562235 2021-02-04 23:06:52.980: INFO @log_variables: valid age_mae mean: 12.613863 2021-02-04 23:06:52.980: INFO @log_variables: valid gender_accuracy mean: 0.708229 2021-02-04 23:06:52.980: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078132 2021-02-04 23:06:52.980: INFO @log_variables: valid gender_confidence/accuracy mean: 0.679378 2021-02-04 23:06:52.980: INFO @log_variables: valid age_confidence/loss mean: 0.048536 2021-02-04 23:06:52.980: INFO @log_variables: valid age_confidence/accuracy mean: 0.749875 2021-02-04 23:06:52.980: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:06:52.982: INFO @metrics_hook: train age_mae: 14.945 +-0.197 (13824) 2021-02-04 23:06:52.983: INFO @metrics_hook: train gender_accuracy: 0.676 +-0.008 (13824) 2021-02-04 23:06:54.447: INFO @metrics_hook: valid age_mae: 12.614 +-0.315 (3986) 2021-02-04 23:06:54.447: INFO @metrics_hook: valid gender_accuracy: 0.708 +-0.014 (3986) 2021-02-04 23:06:55.811: INFO @decay_lr : LR updated to `0.0002727468` 2021-02-04 23:06:55.812: INFO @log_profile : T train: 12.902111 2021-02-04 23:06:55.812: INFO @log_profile : T valid: 1.632059 2021-02-04 23:06:55.812: INFO @log_profile : T read data: 0.390916 2021-02-04 23:06:55.812: INFO @log_profile : T hooks: 3.434568 2021-02-04 23:06:55.812: INFO @main_loop : Epoch 19 done 2021-02-04 23:06:55.812: INFO @main_loop : Training epoch 20 2021-02-04 23:07:12.059: INFO @log_variables: train loss nanmean: 2.087033 2021-02-04 23:07:12.059: INFO @log_variables: train age_loss mean: 15.664124 2021-02-04 23:07:12.059: INFO @log_variables: train gender_loss mean: 0.596131 2021-02-04 23:07:12.060: INFO @log_variables: train age_mae mean: 14.830098 2021-02-04 23:07:12.060: INFO @log_variables: train gender_accuracy mean: 0.678241 2021-02-04 23:07:12.060: INFO @log_variables: train gender_confidence/loss nanmean: 0.077737 2021-02-04 23:07:12.060: INFO @log_variables: train gender_confidence/accuracy mean: 0.629485 2021-02-04 23:07:12.060: INFO @log_variables: train age_confidence/loss mean: 0.043348 2021-02-04 23:07:12.060: INFO @log_variables: train age_confidence/accuracy mean: 0.788484 2021-02-04 23:07:12.060: INFO @log_variables: valid loss nanmean: 1.841509 2021-02-04 23:07:12.060: INFO @log_variables: valid age_loss mean: 13.289074 2021-02-04 23:07:12.060: INFO @log_variables: valid gender_loss mean: 0.555217 2021-02-04 23:07:12.060: INFO @log_variables: valid age_mae mean: 12.485722 2021-02-04 23:07:12.060: INFO @log_variables: valid gender_accuracy mean: 0.712995 2021-02-04 23:07:12.060: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078515 2021-02-04 23:07:12.060: INFO @log_variables: valid gender_confidence/accuracy mean: 0.685650 2021-02-04 23:07:12.060: INFO @log_variables: valid age_confidence/loss mean: 0.050154 2021-02-04 23:07:12.061: INFO @log_variables: valid age_confidence/accuracy mean: 0.735073 2021-02-04 23:07:12.061: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:07:12.062: INFO @metrics_hook: train age_mae: 14.830 +-0.196 (13824) 2021-02-04 23:07:12.064: INFO @metrics_hook: train gender_accuracy: 0.678 +-0.008 (13824) 2021-02-04 23:07:13.551: INFO @metrics_hook: valid age_mae: 12.486 +-0.318 (3986) 2021-02-04 23:07:13.552: INFO @metrics_hook: valid gender_accuracy: 0.713 +-0.014 (3986) 2021-02-04 23:07:14.783: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:07:14.783: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.59 +- 0.11 2021-02-04 23:07:14.783: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.09 2021-02-04 23:07:14.783: INFO @evaluate_confidence: Average confidence of all samples 0.58 +- 0.11 2021-02-04 23:07:14.884: INFO @evaluate_confidence: Previous accuracy would be: 67.82 2021-02-04 23:07:14.884: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58] 2021-02-04 23:07:14.885: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [73.71, 74.51, 75.5, 76.26] 2021-02-04 23:07:14.885: INFO @evaluate_confidence: Dropped ratios are: [44.11, 48.15, 52.32, 55.92] 2021-02-04 23:07:14.891: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:07:14.891: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.36 +- 0.17 2021-02-04 23:07:14.891: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.09 2021-02-04 23:07:14.891: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.12 2021-02-04 23:07:14.984: INFO @evaluate_confidence: Previous accuracy would be: 22.85 2021-02-04 23:07:14.984: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36] 2021-02-04 23:07:14.986: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [27.46, 28.08, 29.28, 30.65, 32.31, 33.38, 34.88] 2021-02-04 23:07:14.986: INFO @evaluate_confidence: Dropped ratios are: [56.66, 61.49, 66.0, 70.1, 73.54, 76.45, 78.85] 2021-02-04 23:07:14.988: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:07:14.988: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.63 +- 0.11 2021-02-04 23:07:14.988: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.08 2021-02-04 23:07:14.988: INFO @evaluate_confidence: Average confidence of all samples 0.62 +- 0.10 2021-02-04 23:07:15.058: INFO @evaluate_confidence: Previous accuracy would be: 71.30 2021-02-04 23:07:15.058: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63] 2021-02-04 23:07:15.058: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [78.55, 79.55, 80.35, 80.96, 82.36, 83.17] 2021-02-04 23:07:15.059: INFO @evaluate_confidence: Dropped ratios are: [42.8, 47.24, 50.6, 53.89, 57.63, 60.94] 2021-02-04 23:07:15.060: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:07:15.060: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.34 +- 0.11 2021-02-04 23:07:15.060: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.07 2021-02-04 23:07:15.060: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.08 2021-02-04 23:07:15.158: INFO @evaluate_confidence: Previous accuracy would be: 27.45 2021-02-04 23:07:15.158: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33] 2021-02-04 23:07:15.159: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [30.67, 31.59, 33.28, 34.27] 2021-02-04 23:07:15.159: INFO @evaluate_confidence: Dropped ratios are: [51.66, 60.21, 67.66, 74.08] 2021-02-04 23:07:15.168: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:07:15.485: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:15.541: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:07:15.766: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:15.821: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:07:16.137: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:16.191: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:07:16.192: INFO @evaluate_gender-age_model: groups 0 17.431966 1 16.111366 2 12.828973 3 10.242676 4 10.431083 5 13.911595 6 17.902275 7 20.232089 Name: errors, dtype: float64 2021-02-04 23:07:16.192: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:07:16.415: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:16.467: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:07:16.468: INFO @evaluate_gender-age_model: groups 0 13.916744 1 12.768692 2 10.392752 3 7.594102 4 9.790233 5 14.210127 6 19.043835 7 20.897885 Name: errors, dtype: float64 2021-02-04 23:07:16.565: INFO @decay_lr : LR updated to `0.00027138306` 2021-02-04 23:07:16.743: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:07:16.745: INFO @log_profile : T train: 13.007824 2021-02-04 23:07:16.745: INFO @log_profile : T valid: 1.635733 2021-02-04 23:07:16.745: INFO @log_profile : T read data: 0.401648 2021-02-04 23:07:16.745: INFO @log_profile : T hooks: 5.839286 2021-02-04 23:07:16.745: INFO @main_loop : Epoch 20 done 2021-02-04 23:07:16.745: INFO @main_loop : Training epoch 21 2021-02-04 23:07:32.418: INFO @log_variables: train loss nanmean: 2.078271 2021-02-04 23:07:32.418: INFO @log_variables: train age_loss mean: 15.673565 2021-02-04 23:07:32.418: INFO @log_variables: train gender_loss mean: 0.585929 2021-02-04 23:07:32.418: INFO @log_variables: train age_mae mean: 14.850062 2021-02-04 23:07:32.418: INFO @log_variables: train gender_accuracy mean: 0.685305 2021-02-04 23:07:32.418: INFO @log_variables: train gender_confidence/loss nanmean: 0.077480 2021-02-04 23:07:32.418: INFO @log_variables: train gender_confidence/accuracy mean: 0.647570 2021-02-04 23:07:32.418: INFO @log_variables: train age_confidence/loss mean: 0.043259 2021-02-04 23:07:32.419: INFO @log_variables: train age_confidence/accuracy mean: 0.785471 2021-02-04 23:07:32.419: INFO @log_variables: valid loss nanmean: 1.859999 2021-02-04 23:07:32.419: INFO @log_variables: valid age_loss mean: 13.465755 2021-02-04 23:07:32.419: INFO @log_variables: valid gender_loss mean: 0.558306 2021-02-04 23:07:32.419: INFO @log_variables: valid age_mae mean: 12.661878 2021-02-04 23:07:32.419: INFO @log_variables: valid gender_accuracy mean: 0.720271 2021-02-04 23:07:32.419: INFO @log_variables: valid gender_confidence/loss nanmean: 0.079314 2021-02-04 23:07:32.419: INFO @log_variables: valid gender_confidence/accuracy mean: 0.691922 2021-02-04 23:07:32.419: INFO @log_variables: valid age_confidence/loss mean: 0.048975 2021-02-04 23:07:32.419: INFO @log_variables: valid age_confidence/accuracy mean: 0.741094 2021-02-04 23:07:32.419: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:07:32.421: INFO @metrics_hook: train age_mae: 14.850 +-0.198 (13807) 2021-02-04 23:07:32.422: INFO @metrics_hook: train gender_accuracy: 0.685 +-0.008 (13807) 2021-02-04 23:07:33.878: INFO @metrics_hook: valid age_mae: 12.662 +-0.324 (3986) 2021-02-04 23:07:33.878: INFO @metrics_hook: valid gender_accuracy: 0.720 +-0.014 (3986) 2021-02-04 23:07:35.236: INFO @decay_lr : LR updated to `0.00027002615` 2021-02-04 23:07:35.414: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:07:35.415: INFO @log_profile : T train: 12.871203 2021-02-04 23:07:35.415: INFO @log_profile : T valid: 1.658710 2021-02-04 23:07:35.415: INFO @log_profile : T read data: 0.494075 2021-02-04 23:07:35.415: INFO @log_profile : T hooks: 3.596584 2021-02-04 23:07:35.415: INFO @main_loop : Epoch 21 done 2021-02-04 23:07:35.415: INFO @main_loop : Training epoch 22 2021-02-04 23:07:50.928: INFO @log_variables: train loss nanmean: 2.080871 2021-02-04 23:07:50.928: INFO @log_variables: train age_loss mean: 15.724971 2021-02-04 23:07:50.928: INFO @log_variables: train gender_loss mean: 0.584171 2021-02-04 23:07:50.928: INFO @log_variables: train age_mae mean: 14.905599 2021-02-04 23:07:50.928: INFO @log_variables: train gender_accuracy mean: 0.687428 2021-02-04 23:07:50.928: INFO @log_variables: train gender_confidence/loss nanmean: 0.077544 2021-02-04 23:07:50.928: INFO @log_variables: train gender_confidence/accuracy mean: 0.648582 2021-02-04 23:07:50.928: INFO @log_variables: train age_confidence/loss mean: 0.042720 2021-02-04 23:07:50.928: INFO @log_variables: train age_confidence/accuracy mean: 0.792390 2021-02-04 23:07:50.928: INFO @log_variables: valid loss nanmean: 1.802323 2021-02-04 23:07:50.928: INFO @log_variables: valid age_loss mean: 12.743603 2021-02-04 23:07:50.928: INFO @log_variables: valid gender_loss mean: 0.568466 2021-02-04 23:07:50.928: INFO @log_variables: valid age_mae mean: 11.959268 2021-02-04 23:07:50.928: INFO @log_variables: valid gender_accuracy mean: 0.702208 2021-02-04 23:07:50.929: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076720 2021-02-04 23:07:50.929: INFO @log_variables: valid gender_confidence/accuracy mean: 0.677371 2021-02-04 23:07:50.929: INFO @log_variables: valid age_confidence/loss mean: 0.050306 2021-02-04 23:07:50.929: INFO @log_variables: valid age_confidence/accuracy mean: 0.735324 2021-02-04 23:07:50.929: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:07:50.931: INFO @metrics_hook: train age_mae: 14.906 +-0.194 (13824) 2021-02-04 23:07:50.932: INFO @metrics_hook: train gender_accuracy: 0.687 +-0.008 (13824) 2021-02-04 23:07:52.493: INFO @metrics_hook: valid age_mae: 11.959 +-0.302 (3986) 2021-02-04 23:07:52.493: INFO @metrics_hook: valid gender_accuracy: 0.702 +-0.014 (3986) 2021-02-04 23:07:53.768: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:07:53.768: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.60 +- 0.12 2021-02-04 23:07:53.768: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.10 2021-02-04 23:07:53.768: INFO @evaluate_confidence: Average confidence of all samples 0.59 +- 0.12 2021-02-04 23:07:53.870: INFO @evaluate_confidence: Previous accuracy would be: 68.74 2021-02-04 23:07:53.870: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6] 2021-02-04 23:07:53.871: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [75.17, 75.81, 76.38, 76.96, 77.58, 78.31] 2021-02-04 23:07:53.871: INFO @evaluate_confidence: Dropped ratios are: [42.53, 46.2, 49.99, 53.53, 57.06, 60.02] 2021-02-04 23:07:53.877: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:07:53.877: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.36 +- 0.17 2021-02-04 23:07:53.877: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.29 +- 0.09 2021-02-04 23:07:53.877: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.12 2021-02-04 23:07:53.971: INFO @evaluate_confidence: Previous accuracy would be: 22.40 2021-02-04 23:07:53.971: INFO @evaluate_confidence: Possible optimal thresholds are: [0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36] 2021-02-04 23:07:53.973: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [27.23, 28.48, 29.93, 31.16, 32.22, 32.97, 34.38, 35.82] 2021-02-04 23:07:53.973: INFO @evaluate_confidence: Dropped ratios are: [55.74, 60.81, 65.24, 69.01, 72.58, 75.38, 78.26, 80.29] 2021-02-04 23:07:53.974: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:07:53.975: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.14 2021-02-04 23:07:53.975: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.10 2021-02-04 23:07:53.975: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.13 2021-02-04 23:07:54.050: INFO @evaluate_confidence: Previous accuracy would be: 70.22 2021-02-04 23:07:54.051: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:07:54.051: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [79.04, 79.73, 80.96, 81.49, 82.51, 83.51, 84.31, 85.07] 2021-02-04 23:07:54.051: INFO @evaluate_confidence: Dropped ratios are: [40.52, 43.8, 47.17, 50.25, 53.24, 56.02, 58.58, 61.01] 2021-02-04 23:07:54.053: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:07:54.053: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.32 +- 0.13 2021-02-04 23:07:54.053: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.28 +- 0.07 2021-02-04 23:07:54.053: INFO @evaluate_confidence: Average confidence of all samples 0.29 +- 0.10 2021-02-04 23:07:54.151: INFO @evaluate_confidence: Previous accuracy would be: 27.92 2021-02-04 23:07:54.152: INFO @evaluate_confidence: Possible optimal thresholds are: [0.28, 0.29, 0.3, 0.31] 2021-02-04 23:07:54.152: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [34.78, 36.5, 37.77, 39.23] 2021-02-04 23:07:54.152: INFO @evaluate_confidence: Dropped ratios are: [57.73, 65.15, 71.37, 76.59] 2021-02-04 23:07:54.163: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:07:54.487: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:54.542: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:07:54.805: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:07:54.956: INFO @decay_lr : LR updated to `0.00026867603` 2021-02-04 23:07:54.957: INFO @log_profile : T train: 12.794140 2021-02-04 23:07:54.957: INFO @log_profile : T valid: 1.669645 2021-02-04 23:07:54.957: INFO @log_profile : T read data: 0.406585 2021-02-04 23:07:54.957: INFO @log_profile : T hooks: 4.621023 2021-02-04 23:07:54.957: INFO @main_loop : Epoch 22 done 2021-02-04 23:07:54.957: INFO @main_loop : Training epoch 23 2021-02-04 23:08:10.564: INFO @log_variables: train loss nanmean: 2.038867 2021-02-04 23:08:10.564: INFO @log_variables: train age_loss mean: 15.369812 2021-02-04 23:08:10.564: INFO @log_variables: train gender_loss mean: 0.572359 2021-02-04 23:08:10.564: INFO @log_variables: train age_mae mean: 14.559174 2021-02-04 23:08:10.564: INFO @log_variables: train gender_accuracy mean: 0.697989 2021-02-04 23:08:10.564: INFO @log_variables: train gender_confidence/loss nanmean: 0.077667 2021-02-04 23:08:10.564: INFO @log_variables: train gender_confidence/accuracy mean: 0.651693 2021-02-04 23:08:10.564: INFO @log_variables: train age_confidence/loss mean: 0.043617 2021-02-04 23:08:10.564: INFO @log_variables: train age_confidence/accuracy mean: 0.785952 2021-02-04 23:08:10.565: INFO @log_variables: valid loss nanmean: 1.768967 2021-02-04 23:08:10.565: INFO @log_variables: valid age_loss mean: 12.686690 2021-02-04 23:08:10.565: INFO @log_variables: valid gender_loss mean: 0.536860 2021-02-04 23:08:10.565: INFO @log_variables: valid age_mae mean: 11.900121 2021-02-04 23:08:10.565: INFO @log_variables: valid gender_accuracy mean: 0.728048 2021-02-04 23:08:10.565: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076728 2021-02-04 23:08:10.565: INFO @log_variables: valid gender_confidence/accuracy mean: 0.690166 2021-02-04 23:08:10.565: INFO @log_variables: valid age_confidence/loss mean: 0.050849 2021-02-04 23:08:10.565: INFO @log_variables: valid age_confidence/accuracy mean: 0.729052 2021-02-04 23:08:10.565: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:08:10.567: INFO @metrics_hook: train age_mae: 14.559 +-0.194 (13824) 2021-02-04 23:08:10.568: INFO @metrics_hook: train gender_accuracy: 0.698 +-0.008 (13824) 2021-02-04 23:08:12.997: INFO @metrics_hook: valid age_mae: 11.900 +-0.303 (3986) 2021-02-04 23:08:12.998: INFO @metrics_hook: valid gender_accuracy: 0.728 +-0.014 (3986) 2021-02-04 23:08:14.287: INFO @decay_lr : LR updated to `0.00026733265` 2021-02-04 23:08:14.463: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:08:14.465: INFO @log_profile : T train: 12.943571 2021-02-04 23:08:14.465: INFO @log_profile : T valid: 1.616622 2021-02-04 23:08:14.465: INFO @log_profile : T read data: 0.396656 2021-02-04 23:08:14.465: INFO @log_profile : T hooks: 4.500405 2021-02-04 23:08:14.465: INFO @main_loop : Epoch 23 done 2021-02-04 23:08:14.465: INFO @main_loop : Training epoch 24 2021-02-04 23:08:30.099: INFO @log_variables: train loss nanmean: 2.018841 2021-02-04 23:08:30.099: INFO @log_variables: train age_loss mean: 15.172653 2021-02-04 23:08:30.099: INFO @log_variables: train gender_loss mean: 0.570455 2021-02-04 23:08:30.099: INFO @log_variables: train age_mae mean: 14.367187 2021-02-04 23:08:30.099: INFO @log_variables: train gender_accuracy mean: 0.696458 2021-02-04 23:08:30.099: INFO @log_variables: train gender_confidence/loss nanmean: 0.076926 2021-02-04 23:08:30.099: INFO @log_variables: train gender_confidence/accuracy mean: 0.660390 2021-02-04 23:08:30.099: INFO @log_variables: train age_confidence/loss mean: 0.043987 2021-02-04 23:08:30.100: INFO @log_variables: train age_confidence/accuracy mean: 0.777577 2021-02-04 23:08:30.100: INFO @log_variables: valid loss nanmean: 1.773513 2021-02-04 23:08:30.100: INFO @log_variables: valid age_loss mean: 12.908610 2021-02-04 23:08:30.100: INFO @log_variables: valid gender_loss mean: 0.517789 2021-02-04 23:08:30.100: INFO @log_variables: valid age_mae mean: 12.123759 2021-02-04 23:08:30.100: INFO @log_variables: valid gender_accuracy mean: 0.740592 2021-02-04 23:08:30.100: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077558 2021-02-04 23:08:30.100: INFO @log_variables: valid gender_confidence/accuracy mean: 0.705218 2021-02-04 23:08:30.100: INFO @log_variables: valid age_confidence/loss mean: 0.051728 2021-02-04 23:08:30.100: INFO @log_variables: valid age_confidence/accuracy mean: 0.720020 2021-02-04 23:08:30.100: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:08:30.102: INFO @metrics_hook: train age_mae: 14.367 +-0.194 (13807) 2021-02-04 23:08:30.103: INFO @metrics_hook: train gender_accuracy: 0.696 +-0.008 (13807) 2021-02-04 23:08:31.533: INFO @metrics_hook: valid age_mae: 12.124 +-0.321 (3986) 2021-02-04 23:08:31.534: INFO @metrics_hook: valid gender_accuracy: 0.741 +-0.014 (3986) 2021-02-04 23:08:32.852: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:08:32.852: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.61 +- 0.13 2021-02-04 23:08:32.852: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.11 2021-02-04 23:08:32.852: INFO @evaluate_confidence: Average confidence of all samples 0.59 +- 0.13 2021-02-04 23:08:32.946: INFO @evaluate_confidence: Previous accuracy would be: 69.65 2021-02-04 23:08:32.946: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61] 2021-02-04 23:08:32.948: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [76.84, 77.47, 78.17, 78.69, 79.42, 80.21, 81.13] 2021-02-04 23:08:32.948: INFO @evaluate_confidence: Dropped ratios are: [42.36, 45.58, 48.88, 52.01, 54.84, 57.63, 60.16] 2021-02-04 23:08:32.954: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:08:32.954: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.18 2021-02-04 23:08:32.954: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.09 2021-02-04 23:08:32.954: INFO @evaluate_confidence: Average confidence of all samples 0.32 +- 0.12 2021-02-04 23:08:33.042: INFO @evaluate_confidence: Previous accuracy would be: 23.69 2021-02-04 23:08:33.042: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:08:33.044: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [28.96, 30.38, 31.35, 32.35, 33.96, 35.48, 37.29, 39.25] 2021-02-04 23:08:33.044: INFO @evaluate_confidence: Dropped ratios are: [54.69, 59.76, 64.05, 67.63, 71.12, 74.18, 76.67, 79.04] 2021-02-04 23:08:33.046: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:08:33.046: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.64 +- 0.13 2021-02-04 23:08:33.046: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.10 2021-02-04 23:08:33.046: INFO @evaluate_confidence: Average confidence of all samples 0.61 +- 0.13 2021-02-04 23:08:33.129: INFO @evaluate_confidence: Previous accuracy would be: 74.06 2021-02-04 23:08:33.129: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63] 2021-02-04 23:08:33.130: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [81.61, 82.0, 83.11, 84.18, 84.82, 85.43, 86.14, 86.5, 87.31] 2021-02-04 23:08:33.130: INFO @evaluate_confidence: Dropped ratios are: [37.51, 40.49, 43.55, 46.89, 48.95, 51.78, 54.21, 56.9, 59.08] 2021-02-04 23:08:33.132: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:08:33.132: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.36 +- 0.15 2021-02-04 23:08:33.132: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.32 +- 0.08 2021-02-04 23:08:33.132: INFO @evaluate_confidence: Average confidence of all samples 0.33 +- 0.11 2021-02-04 23:08:33.245: INFO @evaluate_confidence: Previous accuracy would be: 29.43 2021-02-04 23:08:33.245: INFO @evaluate_confidence: Possible optimal thresholds are: [0.32, 0.33, 0.34, 0.35, 0.36] 2021-02-04 23:08:33.246: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [35.13, 36.38, 37.66, 38.56, 40.21] 2021-02-04 23:08:33.246: INFO @evaluate_confidence: Dropped ratios are: [61.87, 67.59, 72.35, 75.66, 78.98] 2021-02-04 23:08:33.256: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:08:33.585: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:08:33.640: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:08:33.893: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:08:34.051: INFO @decay_lr : LR updated to `0.000265996` 2021-02-04 23:08:34.262: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:08:34.263: INFO @log_profile : T train: 12.925450 2021-02-04 23:08:34.263: INFO @log_profile : T valid: 1.561367 2021-02-04 23:08:34.263: INFO @log_profile : T read data: 0.503774 2021-02-04 23:08:34.263: INFO @log_profile : T hooks: 4.757890 2021-02-04 23:08:34.264: INFO @main_loop : Epoch 24 done 2021-02-04 23:08:34.264: INFO @main_loop : Training epoch 25 2021-02-04 23:08:49.823: INFO @log_variables: train loss nanmean: 2.024662 2021-02-04 23:08:49.823: INFO @log_variables: train age_loss mean: 15.210628 2021-02-04 23:08:49.823: INFO @log_variables: train gender_loss mean: 0.572136 2021-02-04 23:08:49.823: INFO @log_variables: train age_mae mean: 14.411021 2021-02-04 23:08:49.824: INFO @log_variables: train gender_accuracy mean: 0.698206 2021-02-04 23:08:49.824: INFO @log_variables: train gender_confidence/loss nanmean: 0.077472 2021-02-04 23:08:49.824: INFO @log_variables: train gender_confidence/accuracy mean: 0.650246 2021-02-04 23:08:49.824: INFO @log_variables: train age_confidence/loss mean: 0.044281 2021-02-04 23:08:49.824: INFO @log_variables: train age_confidence/accuracy mean: 0.775969 2021-02-04 23:08:49.824: INFO @log_variables: valid loss nanmean: 1.743706 2021-02-04 23:08:49.824: INFO @log_variables: valid age_loss mean: 12.538390 2021-02-04 23:08:49.824: INFO @log_variables: valid gender_loss mean: 0.523001 2021-02-04 23:08:49.824: INFO @log_variables: valid age_mae mean: 11.772912 2021-02-04 23:08:49.824: INFO @log_variables: valid gender_accuracy mean: 0.736829 2021-02-04 23:08:49.824: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077238 2021-02-04 23:08:49.824: INFO @log_variables: valid gender_confidence/accuracy mean: 0.713246 2021-02-04 23:08:49.824: INFO @log_variables: valid age_confidence/loss mean: 0.051159 2021-02-04 23:08:49.824: INFO @log_variables: valid age_confidence/accuracy mean: 0.728299 2021-02-04 23:08:49.824: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:08:49.826: INFO @metrics_hook: train age_mae: 14.411 +-0.193 (13824) 2021-02-04 23:08:49.828: INFO @metrics_hook: train gender_accuracy: 0.698 +-0.008 (13824) 2021-02-04 23:08:51.290: INFO @metrics_hook: valid age_mae: 11.773 +-0.297 (3986) 2021-02-04 23:08:51.290: INFO @metrics_hook: valid gender_accuracy: 0.737 +-0.014 (3986) 2021-02-04 23:08:52.651: INFO @decay_lr : LR updated to `0.000264666` 2021-02-04 23:08:52.652: INFO @log_profile : T train: 12.888870 2021-02-04 23:08:52.653: INFO @log_profile : T valid: 1.629370 2021-02-04 23:08:52.653: INFO @log_profile : T read data: 0.391285 2021-02-04 23:08:52.653: INFO @log_profile : T hooks: 3.429473 2021-02-04 23:08:52.653: INFO @main_loop : Epoch 25 done 2021-02-04 23:08:52.653: INFO @main_loop : Training epoch 26 2021-02-04 23:09:08.486: INFO @log_variables: train loss nanmean: 2.012239 2021-02-04 23:09:08.486: INFO @log_variables: train age_loss mean: 15.225332 2021-02-04 23:09:08.486: INFO @log_variables: train gender_loss mean: 0.557666 2021-02-04 23:09:08.487: INFO @log_variables: train age_mae mean: 14.429787 2021-02-04 23:09:08.487: INFO @log_variables: train gender_accuracy mean: 0.707829 2021-02-04 23:09:08.487: INFO @log_variables: train gender_confidence/loss nanmean: 0.077800 2021-02-04 23:09:08.487: INFO @log_variables: train gender_confidence/accuracy mean: 0.657275 2021-02-04 23:09:08.487: INFO @log_variables: train age_confidence/loss mean: 0.043348 2021-02-04 23:09:08.487: INFO @log_variables: train age_confidence/accuracy mean: 0.786195 2021-02-04 23:09:08.487: INFO @log_variables: valid loss nanmean: 1.854520 2021-02-04 23:09:08.487: INFO @log_variables: valid age_loss mean: 13.712799 2021-02-04 23:09:08.487: INFO @log_variables: valid gender_loss mean: 0.526730 2021-02-04 23:09:08.487: INFO @log_variables: valid age_mae mean: 12.951018 2021-02-04 23:09:08.487: INFO @log_variables: valid gender_accuracy mean: 0.737832 2021-02-04 23:09:08.487: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077957 2021-02-04 23:09:08.487: INFO @log_variables: valid gender_confidence/accuracy mean: 0.718515 2021-02-04 23:09:08.487: INFO @log_variables: valid age_confidence/loss mean: 0.051099 2021-02-04 23:09:08.487: INFO @log_variables: valid age_confidence/accuracy mean: 0.717260 2021-02-04 23:09:08.487: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:09:08.489: INFO @metrics_hook: train age_mae: 14.430 +-0.194 (13807) 2021-02-04 23:09:08.491: INFO @metrics_hook: train gender_accuracy: 0.708 +-0.008 (13807) 2021-02-04 23:09:09.943: INFO @metrics_hook: valid age_mae: 12.951 +-0.346 (3986) 2021-02-04 23:09:09.944: INFO @metrics_hook: valid gender_accuracy: 0.738 +-0.014 (3986) 2021-02-04 23:09:11.139: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:09:11.139: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.62 +- 0.13 2021-02-04 23:09:11.139: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.10 2021-02-04 23:09:11.139: INFO @evaluate_confidence: Average confidence of all samples 0.60 +- 0.13 2021-02-04 23:09:11.229: INFO @evaluate_confidence: Previous accuracy would be: 70.78 2021-02-04 23:09:11.230: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61] 2021-02-04 23:09:11.231: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [77.18, 77.78, 78.48, 79.3, 80.18, 80.89, 81.68] 2021-02-04 23:09:11.231: INFO @evaluate_confidence: Dropped ratios are: [42.15, 45.17, 48.23, 51.23, 54.07, 56.98, 59.79] 2021-02-04 23:09:11.237: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:09:11.237: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.18 2021-02-04 23:09:11.237: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.09 2021-02-04 23:09:11.237: INFO @evaluate_confidence: Average confidence of all samples 0.31 +- 0.12 2021-02-04 23:09:11.323: INFO @evaluate_confidence: Previous accuracy would be: 23.39 2021-02-04 23:09:11.323: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:09:11.325: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [29.97, 31.18, 32.64, 33.86, 35.21, 36.89, 38.68, 40.33] 2021-02-04 23:09:11.325: INFO @evaluate_confidence: Dropped ratios are: [57.88, 62.42, 66.7, 69.99, 73.19, 76.13, 78.66, 80.84] 2021-02-04 23:09:11.327: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:09:11.327: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.13 2021-02-04 23:09:11.327: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.10 2021-02-04 23:09:11.327: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.13 2021-02-04 23:09:11.399: INFO @evaluate_confidence: Previous accuracy would be: 73.78 2021-02-04 23:09:11.399: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:09:11.400: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [82.11, 82.37, 82.99, 83.4, 84.48, 85.12, 86.08, 86.59] 2021-02-04 23:09:11.400: INFO @evaluate_confidence: Dropped ratios are: [37.61, 40.94, 44.41, 47.27, 50.7, 54.14, 57.45, 59.78] 2021-02-04 23:09:11.402: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:09:11.402: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.16 2021-02-04 23:09:11.402: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:09:11.402: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.12 2021-02-04 23:09:11.503: INFO @evaluate_confidence: Previous accuracy would be: 28.32 2021-02-04 23:09:11.503: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:09:11.503: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [33.4, 33.38, 33.99, 34.92, 35.71] 2021-02-04 23:09:11.503: INFO @evaluate_confidence: Dropped ratios are: [59.73, 64.07, 68.34, 71.48, 74.28] 2021-02-04 23:09:11.513: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:09:11.859: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:09:11.911: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:09:12.130: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:09:12.279: INFO @decay_lr : LR updated to `0.0002633427` 2021-02-04 23:09:12.280: INFO @log_profile : T train: 13.063440 2021-02-04 23:09:12.280: INFO @log_profile : T valid: 1.601700 2021-02-04 23:09:12.280: INFO @log_profile : T read data: 0.514143 2021-02-04 23:09:12.280: INFO @log_profile : T hooks: 4.395880 2021-02-04 23:09:12.280: INFO @main_loop : Epoch 26 done 2021-02-04 23:09:12.280: INFO @main_loop : Training epoch 27 2021-02-04 23:09:27.878: INFO @log_variables: train loss nanmean: 1.989407 2021-02-04 23:09:27.878: INFO @log_variables: train age_loss mean: 15.009666 2021-02-04 23:09:27.878: INFO @log_variables: train gender_loss mean: 0.553719 2021-02-04 23:09:27.878: INFO @log_variables: train age_mae mean: 14.226103 2021-02-04 23:09:27.878: INFO @log_variables: train gender_accuracy mean: 0.709852 2021-02-04 23:09:27.878: INFO @log_variables: train gender_confidence/loss nanmean: 0.077062 2021-02-04 23:09:27.878: INFO @log_variables: train gender_confidence/accuracy mean: 0.665871 2021-02-04 23:09:27.878: INFO @log_variables: train age_confidence/loss mean: 0.044449 2021-02-04 23:09:27.878: INFO @log_variables: train age_confidence/accuracy mean: 0.774812 2021-02-04 23:09:27.878: INFO @log_variables: valid loss nanmean: 1.801740 2021-02-04 23:09:27.878: INFO @log_variables: valid age_loss mean: 13.169000 2021-02-04 23:09:27.878: INFO @log_variables: valid gender_loss mean: 0.523724 2021-02-04 23:09:27.879: INFO @log_variables: valid age_mae mean: 12.411330 2021-02-04 23:09:27.879: INFO @log_variables: valid gender_accuracy mean: 0.740090 2021-02-04 23:09:27.879: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077140 2021-02-04 23:09:27.879: INFO @log_variables: valid gender_confidence/accuracy mean: 0.699950 2021-02-04 23:09:27.879: INFO @log_variables: valid age_confidence/loss mean: 0.051305 2021-02-04 23:09:27.879: INFO @log_variables: valid age_confidence/accuracy mean: 0.721024 2021-02-04 23:09:27.879: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:09:27.880: INFO @metrics_hook: train age_mae: 14.226 +-0.194 (13824) 2021-02-04 23:09:27.882: INFO @metrics_hook: train gender_accuracy: 0.710 +-0.008 (13824) 2021-02-04 23:09:29.339: INFO @metrics_hook: valid age_mae: 12.411 +-0.321 (3986) 2021-02-04 23:09:29.339: INFO @metrics_hook: valid gender_accuracy: 0.740 +-0.014 (3986) 2021-02-04 23:09:30.691: INFO @decay_lr : LR updated to `0.00026202598` 2021-02-04 23:09:30.692: INFO @log_profile : T train: 12.922255 2021-02-04 23:09:30.692: INFO @log_profile : T valid: 1.620821 2021-02-04 23:09:30.692: INFO @log_profile : T read data: 0.405914 2021-02-04 23:09:30.692: INFO @log_profile : T hooks: 3.413884 2021-02-04 23:09:30.692: INFO @main_loop : Epoch 27 done 2021-02-04 23:09:30.692: INFO @main_loop : Training epoch 28 2021-02-04 23:09:45.620: INFO @log_variables: train loss nanmean: 1.945836 2021-02-04 23:09:45.621: INFO @log_variables: train age_loss mean: 14.607356 2021-02-04 23:09:45.621: INFO @log_variables: train gender_loss mean: 0.544973 2021-02-04 23:09:45.621: INFO @log_variables: train age_mae mean: 13.827625 2021-02-04 23:09:45.621: INFO @log_variables: train gender_accuracy mean: 0.717086 2021-02-04 23:09:45.621: INFO @log_variables: train gender_confidence/loss nanmean: 0.076980 2021-02-04 23:09:45.621: INFO @log_variables: train gender_confidence/accuracy mean: 0.668041 2021-02-04 23:09:45.621: INFO @log_variables: train age_confidence/loss mean: 0.045484 2021-02-04 23:09:45.621: INFO @log_variables: train age_confidence/accuracy mean: 0.767650 2021-02-04 23:09:45.621: INFO @log_variables: valid loss nanmean: 1.739057 2021-02-04 23:09:45.621: INFO @log_variables: valid age_loss mean: 12.765725 2021-02-04 23:09:45.621: INFO @log_variables: valid gender_loss mean: 0.493427 2021-02-04 23:09:45.621: INFO @log_variables: valid age_mae mean: 12.013498 2021-02-04 23:09:45.622: INFO @log_variables: valid gender_accuracy mean: 0.761917 2021-02-04 23:09:45.622: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078325 2021-02-04 23:09:45.622: INFO @log_variables: valid gender_confidence/accuracy mean: 0.722780 2021-02-04 23:09:45.622: INFO @log_variables: valid age_confidence/loss mean: 0.051642 2021-02-04 23:09:45.622: INFO @log_variables: valid age_confidence/accuracy mean: 0.712995 2021-02-04 23:09:45.622: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:09:45.624: INFO @metrics_hook: train age_mae: 13.828 +-0.189 (13824) 2021-02-04 23:09:45.625: INFO @metrics_hook: train gender_accuracy: 0.717 +-0.008 (13824) 2021-02-04 23:09:47.051: INFO @metrics_hook: valid age_mae: 12.013 +-0.319 (3986) 2021-02-04 23:09:47.052: INFO @metrics_hook: valid gender_accuracy: 0.762 +-0.013 (3986) 2021-02-04 23:09:48.296: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:09:48.296: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.62 +- 0.14 2021-02-04 23:09:48.296: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.11 2021-02-04 23:09:48.296: INFO @evaluate_confidence: Average confidence of all samples 0.60 +- 0.14 2021-02-04 23:09:48.385: INFO @evaluate_confidence: Previous accuracy would be: 71.71 2021-02-04 23:09:48.385: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61] 2021-02-04 23:09:48.387: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [79.05, 79.99, 80.54, 81.18, 82.03, 82.51, 82.93] 2021-02-04 23:09:48.387: INFO @evaluate_confidence: Dropped ratios are: [41.47, 44.68, 47.4, 50.2, 52.77, 55.41, 58.04] 2021-02-04 23:09:48.393: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:09:48.393: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.19 2021-02-04 23:09:48.393: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.10 2021-02-04 23:09:48.393: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.13 2021-02-04 23:09:48.480: INFO @evaluate_confidence: Previous accuracy would be: 25.54 2021-02-04 23:09:48.481: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:09:48.483: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [31.96, 32.94, 34.17, 35.61, 37.31, 38.79, 39.94, 41.55, 42.72, 44.22] 2021-02-04 23:09:48.483: INFO @evaluate_confidence: Dropped ratios are: [53.76, 58.87, 63.3, 67.13, 70.51, 73.57, 76.09, 78.41, 80.37, 81.97] 2021-02-04 23:09:48.485: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:09:48.485: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.15 2021-02-04 23:09:48.485: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.12 2021-02-04 23:09:48.485: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.15 2021-02-04 23:09:48.553: INFO @evaluate_confidence: Previous accuracy would be: 76.19 2021-02-04 23:09:48.553: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:09:48.554: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [83.25, 83.96, 84.72, 85.43, 85.77, 86.33, 86.82, 87.14, 87.5, 87.77, 88.24] 2021-02-04 23:09:48.554: INFO @evaluate_confidence: Dropped ratios are: [35.0, 37.46, 40.09, 42.47, 45.33, 47.89, 50.7, 52.99, 55.24, 57.12, 59.26] 2021-02-04 23:09:48.555: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:09:48.556: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.18 2021-02-04 23:09:48.556: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:09:48.556: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.13 2021-02-04 23:09:48.649: INFO @evaluate_confidence: Previous accuracy would be: 28.70 2021-02-04 23:09:48.649: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:09:48.650: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [34.4, 34.62, 36.5, 37.91, 38.41] 2021-02-04 23:09:48.650: INFO @evaluate_confidence: Dropped ratios are: [60.91, 65.65, 69.62, 73.33, 75.97] 2021-02-04 23:09:48.660: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:09:48.977: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:09:49.028: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:09:49.255: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:09:49.406: INFO @decay_lr : LR updated to `0.00026071584` 2021-02-04 23:09:49.592: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:09:49.594: INFO @log_profile : T train: 12.289843 2021-02-04 23:09:49.594: INFO @log_profile : T valid: 1.609666 2021-02-04 23:09:49.594: INFO @log_profile : T read data: 0.405395 2021-02-04 23:09:49.594: INFO @log_profile : T hooks: 4.547471 2021-02-04 23:09:49.594: INFO @main_loop : Epoch 28 done 2021-02-04 23:09:49.594: INFO @main_loop : Training epoch 29 2021-02-04 23:10:05.210: INFO @log_variables: train loss nanmean: 1.957446 2021-02-04 23:10:05.210: INFO @log_variables: train age_loss mean: 14.805945 2021-02-04 23:10:05.210: INFO @log_variables: train gender_loss mean: 0.537656 2021-02-04 23:10:05.210: INFO @log_variables: train age_mae mean: 14.028099 2021-02-04 23:10:05.210: INFO @log_variables: train gender_accuracy mean: 0.727167 2021-02-04 23:10:05.211: INFO @log_variables: train gender_confidence/loss nanmean: 0.077855 2021-02-04 23:10:05.211: INFO @log_variables: train gender_confidence/accuracy mean: 0.674730 2021-02-04 23:10:05.211: INFO @log_variables: train age_confidence/loss mean: 0.044817 2021-02-04 23:10:05.211: INFO @log_variables: train age_confidence/accuracy mean: 0.771565 2021-02-04 23:10:05.211: INFO @log_variables: valid loss nanmean: 1.696040 2021-02-04 23:10:05.211: INFO @log_variables: valid age_loss mean: 12.461357 2021-02-04 23:10:05.211: INFO @log_variables: valid gender_loss mean: 0.478513 2021-02-04 23:10:05.211: INFO @log_variables: valid age_mae mean: 11.711642 2021-02-04 23:10:05.211: INFO @log_variables: valid gender_accuracy mean: 0.765680 2021-02-04 23:10:05.211: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076624 2021-02-04 23:10:05.211: INFO @log_variables: valid gender_confidence/accuracy mean: 0.726794 2021-02-04 23:10:05.211: INFO @log_variables: valid age_confidence/loss mean: 0.051554 2021-02-04 23:10:05.211: INFO @log_variables: valid age_confidence/accuracy mean: 0.714752 2021-02-04 23:10:05.211: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:10:05.213: INFO @metrics_hook: train age_mae: 14.028 +-0.191 (13807) 2021-02-04 23:10:05.214: INFO @metrics_hook: train gender_accuracy: 0.727 +-0.008 (13807) 2021-02-04 23:10:06.651: INFO @metrics_hook: valid age_mae: 11.712 +-0.309 (3986) 2021-02-04 23:10:06.651: INFO @metrics_hook: valid gender_accuracy: 0.766 +-0.013 (3986) 2021-02-04 23:10:09.259: INFO @decay_lr : LR updated to `0.00025941225` 2021-02-04 23:10:09.438: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:10:09.440: INFO @log_profile : T train: 12.941896 2021-02-04 23:10:09.440: INFO @log_profile : T valid: 1.505587 2021-02-04 23:10:09.440: INFO @log_profile : T read data: 0.513234 2021-02-04 23:10:09.440: INFO @log_profile : T hooks: 4.835978 2021-02-04 23:10:09.440: INFO @main_loop : Epoch 29 done 2021-02-04 23:10:09.441: INFO @main_loop : Training epoch 30 2021-02-04 23:10:24.842: INFO @log_variables: train loss nanmean: 1.933008 2021-02-04 23:10:24.842: INFO @log_variables: train age_loss mean: 14.525187 2021-02-04 23:10:24.842: INFO @log_variables: train gender_loss mean: 0.539000 2021-02-04 23:10:24.842: INFO @log_variables: train age_mae mean: 13.754605 2021-02-04 23:10:24.842: INFO @log_variables: train gender_accuracy mean: 0.722709 2021-02-04 23:10:24.842: INFO @log_variables: train gender_confidence/loss nanmean: 0.077241 2021-02-04 23:10:24.842: INFO @log_variables: train gender_confidence/accuracy mean: 0.672575 2021-02-04 23:10:24.842: INFO @log_variables: train age_confidence/loss mean: 0.045296 2021-02-04 23:10:24.842: INFO @log_variables: train age_confidence/accuracy mean: 0.767995 2021-02-04 23:10:24.842: INFO @log_variables: valid loss nanmean: 1.725793 2021-02-04 23:10:24.843: INFO @log_variables: valid age_loss mean: 12.559611 2021-02-04 23:10:24.843: INFO @log_variables: valid gender_loss mean: 0.500155 2021-02-04 23:10:24.843: INFO @log_variables: valid age_mae mean: 11.809402 2021-02-04 23:10:24.843: INFO @log_variables: valid gender_accuracy mean: 0.754139 2021-02-04 23:10:24.843: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077286 2021-02-04 23:10:24.843: INFO @log_variables: valid gender_confidence/accuracy mean: 0.714752 2021-02-04 23:10:24.843: INFO @log_variables: valid age_confidence/loss mean: 0.052038 2021-02-04 23:10:24.843: INFO @log_variables: valid age_confidence/accuracy mean: 0.708480 2021-02-04 23:10:24.843: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:10:24.845: INFO @metrics_hook: train age_mae: 13.755 +-0.189 (13823) 2021-02-04 23:10:24.847: INFO @metrics_hook: train gender_accuracy: 0.723 +-0.008 (13823) 2021-02-04 23:10:26.301: INFO @metrics_hook: valid age_mae: 11.809 +-0.314 (3986) 2021-02-04 23:10:26.302: INFO @metrics_hook: valid gender_accuracy: 0.754 +-0.014 (3986) 2021-02-04 23:10:27.596: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:10:27.596: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.62 +- 0.15 2021-02-04 23:10:27.596: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.11 2021-02-04 23:10:27.596: INFO @evaluate_confidence: Average confidence of all samples 0.60 +- 0.14 2021-02-04 23:10:27.685: INFO @evaluate_confidence: Previous accuracy would be: 72.27 2021-02-04 23:10:27.685: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61] 2021-02-04 23:10:27.687: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [79.26, 79.87, 80.4, 81.26, 81.84, 82.47, 83.2, 83.75] 2021-02-04 23:10:27.687: INFO @evaluate_confidence: Dropped ratios are: [38.78, 41.72, 44.81, 47.66, 50.25, 52.71, 55.13, 57.4] 2021-02-04 23:10:27.693: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:10:27.693: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.39 +- 0.18 2021-02-04 23:10:27.693: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.09 2021-02-04 23:10:27.693: INFO @evaluate_confidence: Average confidence of all samples 0.33 +- 0.13 2021-02-04 23:10:27.782: INFO @evaluate_confidence: Previous accuracy would be: 24.97 2021-02-04 23:10:27.782: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38] 2021-02-04 23:10:27.784: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [30.14, 31.06, 32.16, 33.03, 34.6, 36.28, 37.75, 39.66] 2021-02-04 23:10:27.784: INFO @evaluate_confidence: Dropped ratios are: [53.97, 58.82, 63.29, 67.26, 70.66, 73.78, 76.5, 78.91] 2021-02-04 23:10:27.786: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:10:27.786: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.16 2021-02-04 23:10:27.786: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.12 2021-02-04 23:10:27.786: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.16 2021-02-04 23:10:27.854: INFO @evaluate_confidence: Previous accuracy would be: 75.41 2021-02-04 23:10:27.854: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:10:27.855: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [83.37, 83.8, 84.69, 85.06, 85.58, 86.0, 86.81, 87.47, 87.87, 88.47, 89.28, 90.03] 2021-02-04 23:10:27.855: INFO @evaluate_confidence: Dropped ratios are: [36.33, 38.81, 41.5, 44.08, 45.74, 47.69, 49.77, 51.73, 53.69, 55.82, 58.13, 59.98] 2021-02-04 23:10:27.857: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:10:27.857: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.16 2021-02-04 23:10:27.857: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.09 2021-02-04 23:10:27.857: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.12 2021-02-04 23:10:27.945: INFO @evaluate_confidence: Previous accuracy would be: 29.83 2021-02-04 23:10:27.945: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:10:27.946: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [35.33, 36.62, 38.38, 39.67, 40.34] 2021-02-04 23:10:27.946: INFO @evaluate_confidence: Dropped ratios are: [61.09, 65.96, 70.52, 73.88, 76.49] 2021-02-04 23:10:27.956: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:10:28.295: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:10:28.349: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:10:28.575: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:10:28.631: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:10:28.974: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:10:29.028: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:10:29.029: INFO @evaluate_gender-age_model: groups 0 15.652604 1 14.841422 2 12.518112 3 9.891490 4 10.452509 5 13.293162 6 16.010382 7 17.484793 Name: errors, dtype: float64 2021-02-04 23:10:29.030: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:10:29.265: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:10:29.317: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:10:29.318: INFO @evaluate_gender-age_model: groups 0 12.566312 1 12.955347 2 11.314620 3 9.326563 4 9.809722 5 11.673387 6 15.289570 7 15.906646 Name: errors, dtype: float64 2021-02-04 23:10:29.414: INFO @decay_lr : LR updated to `0.00025811518` 2021-02-04 23:10:29.415: INFO @log_profile : T train: 12.316887 2021-02-04 23:10:29.415: INFO @log_profile : T valid: 1.539426 2021-02-04 23:10:29.415: INFO @log_profile : T read data: 0.389584 2021-02-04 23:10:29.415: INFO @log_profile : T hooks: 5.682475 2021-02-04 23:10:29.415: INFO @main_loop : Epoch 30 done 2021-02-04 23:10:29.415: INFO @main_loop : Training epoch 31 2021-02-04 23:10:44.906: INFO @log_variables: train loss nanmean: 1.923805 2021-02-04 23:10:44.906: INFO @log_variables: train age_loss mean: 14.518851 2021-02-04 23:10:44.906: INFO @log_variables: train gender_loss mean: 0.528564 2021-02-04 23:10:44.906: INFO @log_variables: train age_mae mean: 13.749568 2021-02-04 23:10:44.906: INFO @log_variables: train gender_accuracy mean: 0.735532 2021-02-04 23:10:44.906: INFO @log_variables: train gender_confidence/loss nanmean: 0.078216 2021-02-04 23:10:44.906: INFO @log_variables: train gender_confidence/accuracy mean: 0.680845 2021-02-04 23:10:44.906: INFO @log_variables: train age_confidence/loss mean: 0.045181 2021-02-04 23:10:44.906: INFO @log_variables: train age_confidence/accuracy mean: 0.769459 2021-02-04 23:10:44.906: INFO @log_variables: valid loss nanmean: 1.667399 2021-02-04 23:10:44.906: INFO @log_variables: valid age_loss mean: 12.139737 2021-02-04 23:10:44.906: INFO @log_variables: valid gender_loss mean: 0.477521 2021-02-04 23:10:44.906: INFO @log_variables: valid age_mae mean: 11.403841 2021-02-04 23:10:44.907: INFO @log_variables: valid gender_accuracy mean: 0.765680 2021-02-04 23:10:44.907: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077273 2021-02-04 23:10:44.907: INFO @log_variables: valid gender_confidence/accuracy mean: 0.722529 2021-02-04 23:10:44.907: INFO @log_variables: valid age_confidence/loss mean: 0.052403 2021-02-04 23:10:44.907: INFO @log_variables: valid age_confidence/accuracy mean: 0.710988 2021-02-04 23:10:44.907: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:10:44.909: INFO @metrics_hook: train age_mae: 13.750 +-0.188 (13824) 2021-02-04 23:10:44.910: INFO @metrics_hook: train gender_accuracy: 0.736 +-0.008 (13824) 2021-02-04 23:10:46.430: INFO @metrics_hook: valid age_mae: 11.404 +-0.298 (3986) 2021-02-04 23:10:46.430: INFO @metrics_hook: valid gender_accuracy: 0.766 +-0.013 (3986) 2021-02-04 23:10:47.823: INFO @decay_lr : LR updated to `0.0002568246` 2021-02-04 23:10:47.824: INFO @log_profile : T train: 12.919683 2021-02-04 23:10:47.824: INFO @log_profile : T valid: 1.528408 2021-02-04 23:10:47.824: INFO @log_profile : T read data: 0.400970 2021-02-04 23:10:47.824: INFO @log_profile : T hooks: 3.510546 2021-02-04 23:10:47.824: INFO @main_loop : Epoch 31 done 2021-02-04 23:10:47.824: INFO @main_loop : Training epoch 32 2021-02-04 23:11:03.594: INFO @log_variables: train loss nanmean: 1.921286 2021-02-04 23:11:03.594: INFO @log_variables: train age_loss mean: 14.481817 2021-02-04 23:11:03.594: INFO @log_variables: train gender_loss mean: 0.529826 2021-02-04 23:11:03.594: INFO @log_variables: train age_mae mean: 13.715846 2021-02-04 23:11:03.594: INFO @log_variables: train gender_accuracy mean: 0.731658 2021-02-04 23:11:03.594: INFO @log_variables: train gender_confidence/loss nanmean: 0.077276 2021-02-04 23:11:03.594: INFO @log_variables: train gender_confidence/accuracy mean: 0.677772 2021-02-04 23:11:03.594: INFO @log_variables: train age_confidence/loss mean: 0.045821 2021-02-04 23:11:03.594: INFO @log_variables: train age_confidence/accuracy mean: 0.760918 2021-02-04 23:11:03.594: INFO @log_variables: valid loss nanmean: 1.664741 2021-02-04 23:11:03.594: INFO @log_variables: valid age_loss mean: 12.202427 2021-02-04 23:11:03.594: INFO @log_variables: valid gender_loss mean: 0.468913 2021-02-04 23:11:03.595: INFO @log_variables: valid age_mae mean: 11.466171 2021-02-04 23:11:03.595: INFO @log_variables: valid gender_accuracy mean: 0.773457 2021-02-04 23:11:03.595: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076823 2021-02-04 23:11:03.595: INFO @log_variables: valid gender_confidence/accuracy mean: 0.737331 2021-02-04 23:11:03.595: INFO @log_variables: valid age_confidence/loss mean: 0.052322 2021-02-04 23:11:03.595: INFO @log_variables: valid age_confidence/accuracy mean: 0.716257 2021-02-04 23:11:03.595: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:11:03.597: INFO @metrics_hook: train age_mae: 13.716 +-0.190 (13807) 2021-02-04 23:11:03.598: INFO @metrics_hook: train gender_accuracy: 0.732 +-0.008 (13807) 2021-02-04 23:11:05.101: INFO @metrics_hook: valid age_mae: 11.466 +-0.303 (3986) 2021-02-04 23:11:05.102: INFO @metrics_hook: valid gender_accuracy: 0.773 +-0.013 (3986) 2021-02-04 23:11:06.348: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:11:06.348: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.63 +- 0.15 2021-02-04 23:11:06.348: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.11 2021-02-04 23:11:06.348: INFO @evaluate_confidence: Average confidence of all samples 0.61 +- 0.14 2021-02-04 23:11:06.441: INFO @evaluate_confidence: Previous accuracy would be: 73.17 2021-02-04 23:11:06.441: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62] 2021-02-04 23:11:06.443: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [80.78, 81.24, 82.16, 82.86, 83.47, 83.94, 84.73, 85.34] 2021-02-04 23:11:06.443: INFO @evaluate_confidence: Dropped ratios are: [40.49, 43.17, 46.01, 49.08, 51.71, 54.23, 56.83, 59.28] 2021-02-04 23:11:06.448: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:11:06.449: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.39 +- 0.18 2021-02-04 23:11:06.449: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.32 +- 0.09 2021-02-04 23:11:06.449: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.13 2021-02-04 23:11:06.539: INFO @evaluate_confidence: Previous accuracy would be: 25.73 2021-02-04 23:11:06.539: INFO @evaluate_confidence: Possible optimal thresholds are: [0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38] 2021-02-04 23:11:06.541: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [33.3, 34.13, 35.65, 36.83, 38.11, 39.43, 40.9] 2021-02-04 23:11:06.541: INFO @evaluate_confidence: Dropped ratios are: [57.37, 61.48, 65.87, 69.38, 72.59, 75.06, 77.44] 2021-02-04 23:11:06.542: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:11:06.543: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.15 2021-02-04 23:11:06.543: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.11 2021-02-04 23:11:06.543: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.15 2021-02-04 23:11:06.614: INFO @evaluate_confidence: Previous accuracy would be: 77.35 2021-02-04 23:11:06.614: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:11:06.615: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [84.66, 85.33, 86.27, 87.23, 87.85, 88.56, 89.13, 89.41, 89.73, 90.46, 91.0, 91.29] 2021-02-04 23:11:06.615: INFO @evaluate_confidence: Dropped ratios are: [33.77, 36.7, 39.54, 42.25, 44.68, 47.37, 49.45, 51.93, 54.09, 56.07, 58.45, 60.54] 2021-02-04 23:11:06.617: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:11:06.617: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.35 +- 0.15 2021-02-04 23:11:06.617: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.30 +- 0.08 2021-02-04 23:11:06.617: INFO @evaluate_confidence: Average confidence of all samples 0.32 +- 0.11 2021-02-04 23:11:06.712: INFO @evaluate_confidence: Previous accuracy would be: 30.03 2021-02-04 23:11:06.712: INFO @evaluate_confidence: Possible optimal thresholds are: [0.3, 0.31, 0.32, 0.33, 0.34] 2021-02-04 23:11:06.713: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [35.78, 36.65, 38.12, 39.12, 41.03] 2021-02-04 23:11:06.713: INFO @evaluate_confidence: Dropped ratios are: [56.67, 62.22, 67.69, 71.98, 75.11] 2021-02-04 23:11:06.722: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:11:07.040: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:11:07.095: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:11:07.319: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:11:07.458: INFO @decay_lr : LR updated to `0.00025554048` 2021-02-04 23:11:07.655: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:11:07.657: INFO @log_profile : T train: 12.962068 2021-02-04 23:11:07.657: INFO @log_profile : T valid: 1.633083 2021-02-04 23:11:07.657: INFO @log_profile : T read data: 0.524493 2021-02-04 23:11:07.657: INFO @log_profile : T hooks: 4.662428 2021-02-04 23:11:07.657: INFO @main_loop : Epoch 32 done 2021-02-04 23:11:07.657: INFO @main_loop : Training epoch 33 2021-02-04 23:11:23.144: INFO @log_variables: train loss nanmean: 1.903720 2021-02-04 23:11:23.144: INFO @log_variables: train age_loss mean: 14.401658 2021-02-04 23:11:23.144: INFO @log_variables: train gender_loss mean: 0.517845 2021-02-04 23:11:23.144: INFO @log_variables: train age_mae mean: 13.640814 2021-02-04 23:11:23.144: INFO @log_variables: train gender_accuracy mean: 0.742965 2021-02-04 23:11:23.144: INFO @log_variables: train gender_confidence/loss nanmean: 0.077604 2021-02-04 23:11:23.144: INFO @log_variables: train gender_confidence/accuracy mean: 0.673298 2021-02-04 23:11:23.144: INFO @log_variables: train age_confidence/loss mean: 0.046107 2021-02-04 23:11:23.144: INFO @log_variables: train age_confidence/accuracy mean: 0.758808 2021-02-04 23:11:23.144: INFO @log_variables: valid loss nanmean: 1.699027 2021-02-04 23:11:23.144: INFO @log_variables: valid age_loss mean: 12.539259 2021-02-04 23:11:23.144: INFO @log_variables: valid gender_loss mean: 0.473992 2021-02-04 23:11:23.144: INFO @log_variables: valid age_mae mean: 11.807030 2021-02-04 23:11:23.144: INFO @log_variables: valid gender_accuracy mean: 0.769694 2021-02-04 23:11:23.144: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076713 2021-02-04 23:11:23.145: INFO @log_variables: valid gender_confidence/accuracy mean: 0.734571 2021-02-04 23:11:23.145: INFO @log_variables: valid age_confidence/loss mean: 0.051480 2021-02-04 23:11:23.145: INFO @log_variables: valid age_confidence/accuracy mean: 0.715253 2021-02-04 23:11:23.145: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:11:23.147: INFO @metrics_hook: train age_mae: 13.641 +-0.189 (13823) 2021-02-04 23:11:23.148: INFO @metrics_hook: train gender_accuracy: 0.743 +-0.007 (13823) 2021-02-04 23:11:24.656: INFO @metrics_hook: valid age_mae: 11.807 +-0.303 (3986) 2021-02-04 23:11:24.657: INFO @metrics_hook: valid gender_accuracy: 0.770 +-0.013 (3986) 2021-02-04 23:11:26.087: INFO @decay_lr : LR updated to `0.00025426276` 2021-02-04 23:11:26.088: INFO @log_profile : T train: 12.852513 2021-02-04 23:11:26.088: INFO @log_profile : T valid: 1.594412 2021-02-04 23:11:26.088: INFO @log_profile : T read data: 0.393488 2021-02-04 23:11:26.088: INFO @log_profile : T hooks: 3.542432 2021-02-04 23:11:26.088: INFO @main_loop : Epoch 33 done 2021-02-04 23:11:26.089: INFO @main_loop : Training epoch 34 2021-02-04 23:11:41.149: INFO @log_variables: train loss nanmean: 1.893545 2021-02-04 23:11:41.149: INFO @log_variables: train age_loss mean: 14.328448 2021-02-04 23:11:41.149: INFO @log_variables: train gender_loss mean: 0.514388 2021-02-04 23:11:41.149: INFO @log_variables: train age_mae mean: 13.576927 2021-02-04 23:11:41.149: INFO @log_variables: train gender_accuracy mean: 0.745081 2021-02-04 23:11:41.149: INFO @log_variables: train gender_confidence/loss nanmean: 0.077784 2021-02-04 23:11:41.149: INFO @log_variables: train gender_confidence/accuracy mean: 0.683666 2021-02-04 23:11:41.149: INFO @log_variables: train age_confidence/loss mean: 0.045549 2021-02-04 23:11:41.149: INFO @log_variables: train age_confidence/accuracy mean: 0.768736 2021-02-04 23:11:41.149: INFO @log_variables: valid loss nanmean: 1.646471 2021-02-04 23:11:41.149: INFO @log_variables: valid age_loss mean: 12.151518 2021-02-04 23:11:41.149: INFO @log_variables: valid gender_loss mean: 0.453562 2021-02-04 23:11:41.149: INFO @log_variables: valid age_mae mean: 11.425921 2021-02-04 23:11:41.150: INFO @log_variables: valid gender_accuracy mean: 0.793778 2021-02-04 23:11:41.150: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077347 2021-02-04 23:11:41.150: INFO @log_variables: valid gender_confidence/accuracy mean: 0.738083 2021-02-04 23:11:41.150: INFO @log_variables: valid age_confidence/loss mean: 0.052111 2021-02-04 23:11:41.150: INFO @log_variables: valid age_confidence/accuracy mean: 0.710738 2021-02-04 23:11:41.150: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:11:41.152: INFO @metrics_hook: train age_mae: 13.577 +-0.188 (13824) 2021-02-04 23:11:41.153: INFO @metrics_hook: train gender_accuracy: 0.745 +-0.007 (13824) 2021-02-04 23:11:42.643: INFO @metrics_hook: valid age_mae: 11.426 +-0.299 (3986) 2021-02-04 23:11:42.644: INFO @metrics_hook: valid gender_accuracy: 0.794 +-0.013 (3986) 2021-02-04 23:11:43.901: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:11:43.901: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.64 +- 0.16 2021-02-04 23:11:43.901: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.11 2021-02-04 23:11:43.901: INFO @evaluate_confidence: Average confidence of all samples 0.62 +- 0.15 2021-02-04 23:11:43.994: INFO @evaluate_confidence: Previous accuracy would be: 74.51 2021-02-04 23:11:43.994: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63] 2021-02-04 23:11:43.996: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [81.61, 82.41, 82.96, 83.6, 84.24, 85.05, 85.47, 86.29, 86.71] 2021-02-04 23:11:43.996: INFO @evaluate_confidence: Dropped ratios are: [39.61, 42.32, 45.1, 47.61, 50.26, 52.78, 54.93, 57.15, 59.33] 2021-02-04 23:11:44.002: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:11:44.002: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.19 2021-02-04 23:11:44.002: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.09 2021-02-04 23:11:44.002: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.13 2021-02-04 23:11:44.089: INFO @evaluate_confidence: Previous accuracy would be: 25.63 2021-02-04 23:11:44.089: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:11:44.092: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [31.27, 32.29, 33.52, 34.93, 36.19, 37.22, 38.93, 40.76, 42.5, 44.3] 2021-02-04 23:11:44.092: INFO @evaluate_confidence: Dropped ratios are: [53.22, 57.79, 62.25, 66.56, 69.86, 72.91, 75.43, 77.99, 80.17, 81.84] 2021-02-04 23:11:44.093: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:11:44.094: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.16 2021-02-04 23:11:44.094: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.12 2021-02-04 23:11:44.094: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.16 2021-02-04 23:11:44.163: INFO @evaluate_confidence: Previous accuracy would be: 79.38 2021-02-04 23:11:44.163: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:11:44.164: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.88, 87.42, 87.86, 88.15, 88.83, 89.35, 89.8, 90.05, 90.26, 90.48, 91.33, 91.66] 2021-02-04 23:11:44.164: INFO @evaluate_confidence: Dropped ratios are: [35.57, 38.16, 40.07, 42.0, 44.08, 46.29, 48.34, 50.6, 52.33, 54.69, 56.87, 58.48] 2021-02-04 23:11:44.166: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:11:44.166: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.37 +- 0.17 2021-02-04 23:11:44.166: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.31 +- 0.09 2021-02-04 23:11:44.166: INFO @evaluate_confidence: Average confidence of all samples 0.33 +- 0.12 2021-02-04 23:11:44.263: INFO @evaluate_confidence: Previous accuracy would be: 30.21 2021-02-04 23:11:44.263: INFO @evaluate_confidence: Possible optimal thresholds are: [0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:11:44.264: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [36.22, 37.66, 38.61, 40.11, 42.09, 43.68, 44.24] 2021-02-04 23:11:44.264: INFO @evaluate_confidence: Dropped ratios are: [55.39, 61.57, 66.86, 71.48, 75.26, 78.35, 80.61] 2021-02-04 23:11:44.273: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:11:44.610: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:11:44.665: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:11:44.905: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:11:45.047: INFO @decay_lr : LR updated to `0.00025299145` 2021-02-04 23:11:45.254: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:11:45.256: INFO @log_profile : T train: 12.492585 2021-02-04 23:11:45.256: INFO @log_profile : T valid: 1.535991 2021-02-04 23:11:45.256: INFO @log_profile : T read data: 0.390254 2021-02-04 23:11:45.256: INFO @log_profile : T hooks: 4.701229 2021-02-04 23:11:45.256: INFO @main_loop : Epoch 34 done 2021-02-04 23:11:45.256: INFO @main_loop : Training epoch 35 2021-02-04 23:12:00.947: INFO @log_variables: train loss nanmean: 1.889718 2021-02-04 23:12:00.948: INFO @log_variables: train age_loss mean: 14.236132 2021-02-04 23:12:00.948: INFO @log_variables: train gender_loss mean: 0.519460 2021-02-04 23:12:00.948: INFO @log_variables: train age_mae mean: 13.485823 2021-02-04 23:12:00.948: INFO @log_variables: train gender_accuracy mean: 0.738447 2021-02-04 23:12:00.948: INFO @log_variables: train gender_confidence/loss nanmean: 0.077199 2021-02-04 23:12:00.948: INFO @log_variables: train gender_confidence/accuracy mean: 0.679125 2021-02-04 23:12:00.948: INFO @log_variables: train age_confidence/loss mean: 0.046089 2021-02-04 23:12:00.948: INFO @log_variables: train age_confidence/accuracy mean: 0.760104 2021-02-04 23:12:00.948: INFO @log_variables: valid loss nanmean: 1.654690 2021-02-04 23:12:00.948: INFO @log_variables: valid age_loss mean: 12.154857 2021-02-04 23:12:00.948: INFO @log_variables: valid gender_loss mean: 0.463334 2021-02-04 23:12:00.948: INFO @log_variables: valid age_mae mean: 11.429379 2021-02-04 23:12:00.948: INFO @log_variables: valid gender_accuracy mean: 0.779729 2021-02-04 23:12:00.948: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076456 2021-02-04 23:12:00.948: INFO @log_variables: valid gender_confidence/accuracy mean: 0.750627 2021-02-04 23:12:00.948: INFO @log_variables: valid age_confidence/loss mean: 0.052034 2021-02-04 23:12:00.948: INFO @log_variables: valid age_confidence/accuracy mean: 0.715253 2021-02-04 23:12:00.948: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:12:00.950: INFO @metrics_hook: train age_mae: 13.486 +-0.187 (13806) 2021-02-04 23:12:00.952: INFO @metrics_hook: train gender_accuracy: 0.738 +-0.007 (13806) 2021-02-04 23:12:02.409: INFO @metrics_hook: valid age_mae: 11.429 +-0.298 (3986) 2021-02-04 23:12:02.409: INFO @metrics_hook: valid gender_accuracy: 0.780 +-0.013 (3986) 2021-02-04 23:12:03.771: INFO @decay_lr : LR updated to `0.00025172648` 2021-02-04 23:12:03.772: INFO @log_profile : T train: 12.926661 2021-02-04 23:12:03.772: INFO @log_profile : T valid: 1.614661 2021-02-04 23:12:03.772: INFO @log_profile : T read data: 0.495484 2021-02-04 23:12:03.772: INFO @log_profile : T hooks: 3.428030 2021-02-04 23:12:03.772: INFO @main_loop : Epoch 35 done 2021-02-04 23:12:03.772: INFO @main_loop : Training epoch 36 2021-02-04 23:12:19.289: INFO @log_variables: train loss nanmean: 1.881158 2021-02-04 23:12:19.289: INFO @log_variables: train age_loss mean: 14.260530 2021-02-04 23:12:19.289: INFO @log_variables: train gender_loss mean: 0.507595 2021-02-04 23:12:19.289: INFO @log_variables: train age_mae mean: 13.514428 2021-02-04 23:12:19.289: INFO @log_variables: train gender_accuracy mean: 0.746455 2021-02-04 23:12:19.289: INFO @log_variables: train gender_confidence/loss nanmean: 0.077081 2021-02-04 23:12:19.290: INFO @log_variables: train gender_confidence/accuracy mean: 0.689743 2021-02-04 23:12:19.290: INFO @log_variables: train age_confidence/loss mean: 0.046215 2021-02-04 23:12:19.290: INFO @log_variables: train age_confidence/accuracy mean: 0.760778 2021-02-04 23:12:19.290: INFO @log_variables: valid loss nanmean: 1.700109 2021-02-04 23:12:19.290: INFO @log_variables: valid age_loss mean: 12.607250 2021-02-04 23:12:19.290: INFO @log_variables: valid gender_loss mean: 0.469929 2021-02-04 23:12:19.290: INFO @log_variables: valid age_mae mean: 11.899218 2021-02-04 23:12:19.290: INFO @log_variables: valid gender_accuracy mean: 0.777220 2021-02-04 23:12:19.290: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075428 2021-02-04 23:12:19.290: INFO @log_variables: valid gender_confidence/accuracy mean: 0.748620 2021-02-04 23:12:19.290: INFO @log_variables: valid age_confidence/loss mean: 0.051359 2021-02-04 23:12:19.290: INFO @log_variables: valid age_confidence/accuracy mean: 0.717762 2021-02-04 23:12:19.290: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:12:19.292: INFO @metrics_hook: train age_mae: 13.514 +-0.188 (13824) 2021-02-04 23:12:19.294: INFO @metrics_hook: train gender_accuracy: 0.746 +-0.007 (13824) 2021-02-04 23:12:20.764: INFO @metrics_hook: valid age_mae: 11.899 +-0.317 (3986) 2021-02-04 23:12:20.764: INFO @metrics_hook: valid gender_accuracy: 0.777 +-0.013 (3986) 2021-02-04 23:12:22.088: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:12:22.088: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.64 +- 0.16 2021-02-04 23:12:22.088: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.12 2021-02-04 23:12:22.088: INFO @evaluate_confidence: Average confidence of all samples 0.62 +- 0.16 2021-02-04 23:12:22.184: INFO @evaluate_confidence: Previous accuracy would be: 74.65 2021-02-04 23:12:22.184: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63] 2021-02-04 23:12:22.186: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [82.44, 83.11, 83.73, 84.33, 84.88, 85.34, 85.55, 85.98, 86.7] 2021-02-04 23:12:22.186: INFO @evaluate_confidence: Dropped ratios are: [39.68, 42.36, 45.04, 47.24, 49.61, 52.17, 54.16, 56.24, 58.38] 2021-02-04 23:12:22.193: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:12:22.193: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.18 2021-02-04 23:12:22.193: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.32 +- 0.09 2021-02-04 23:12:22.193: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.13 2021-02-04 23:12:23.944: INFO @evaluate_confidence: Previous accuracy would be: 26.11 2021-02-04 23:12:23.945: INFO @evaluate_confidence: Possible optimal thresholds are: [0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:12:23.947: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [32.13, 33.23, 34.42, 35.68, 37.33, 38.55, 40.3, 42.24, 43.95] 2021-02-04 23:12:23.947: INFO @evaluate_confidence: Dropped ratios are: [54.57, 59.46, 63.85, 67.78, 71.26, 74.48, 77.29, 79.36, 81.24] 2021-02-04 23:12:23.949: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:12:23.949: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.16 2021-02-04 23:12:23.949: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.11 2021-02-04 23:12:23.949: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.16 2021-02-04 23:12:24.024: INFO @evaluate_confidence: Previous accuracy would be: 77.72 2021-02-04 23:12:24.024: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:12:24.025: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.24, 87.3, 87.81, 88.71, 89.27, 89.64, 89.76, 90.22, 90.39, 90.43, 90.75, 91.26, 91.49] 2021-02-04 23:12:24.025: INFO @evaluate_confidence: Dropped ratios are: [35.45, 38.16, 40.32, 42.67, 44.58, 46.74, 48.77, 50.73, 52.48, 54.39, 56.32, 58.1, 59.63] 2021-02-04 23:12:24.027: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:12:24.027: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.39 +- 0.15 2021-02-04 23:12:24.027: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.08 2021-02-04 23:12:24.027: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.11 2021-02-04 23:12:24.117: INFO @evaluate_confidence: Previous accuracy would be: 29.93 2021-02-04 23:12:24.117: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38] 2021-02-04 23:12:24.117: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [38.48, 40.04, 41.41, 42.65, 43.85] 2021-02-04 23:12:24.117: INFO @evaluate_confidence: Dropped ratios are: [61.99, 66.48, 70.8, 74.06, 76.54] 2021-02-04 23:12:24.127: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:12:24.452: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:12:24.508: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:12:24.748: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:12:24.901: INFO @decay_lr : LR updated to `0.00025046786` 2021-02-04 23:12:24.902: INFO @log_profile : T train: 12.864784 2021-02-04 23:12:24.902: INFO @log_profile : T valid: 1.616881 2021-02-04 23:12:24.902: INFO @log_profile : T read data: 0.398383 2021-02-04 23:12:24.902: INFO @log_profile : T hooks: 6.201235 2021-02-04 23:12:24.902: INFO @main_loop : Epoch 36 done 2021-02-04 23:12:24.902: INFO @main_loop : Training epoch 37 2021-02-04 23:12:39.806: INFO @log_variables: train loss nanmean: 1.851476 2021-02-04 23:12:39.806: INFO @log_variables: train age_loss mean: 13.918652 2021-02-04 23:12:39.808: INFO @log_variables: train gender_loss mean: 0.509018 2021-02-04 23:12:39.808: INFO @log_variables: train age_mae mean: 13.180042 2021-02-04 23:12:39.809: INFO @log_variables: train gender_accuracy mean: 0.743707 2021-02-04 23:12:39.809: INFO @log_variables: train gender_confidence/loss nanmean: 0.076413 2021-02-04 23:12:39.809: INFO @log_variables: train gender_confidence/accuracy mean: 0.690611 2021-02-04 23:12:39.809: INFO @log_variables: train age_confidence/loss mean: 0.046987 2021-02-04 23:12:39.809: INFO @log_variables: train age_confidence/accuracy mean: 0.754702 2021-02-04 23:12:39.809: INFO @log_variables: valid loss nanmean: 1.651452 2021-02-04 23:12:39.809: INFO @log_variables: valid age_loss mean: 12.323576 2021-02-04 23:12:39.809: INFO @log_variables: valid gender_loss mean: 0.443466 2021-02-04 23:12:39.809: INFO @log_variables: valid age_mae mean: 11.610289 2021-02-04 23:12:39.809: INFO @log_variables: valid gender_accuracy mean: 0.796538 2021-02-04 23:12:39.809: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077165 2021-02-04 23:12:39.809: INFO @log_variables: valid gender_confidence/accuracy mean: 0.745861 2021-02-04 23:12:39.809: INFO @log_variables: valid age_confidence/loss mean: 0.050811 2021-02-04 23:12:39.809: INFO @log_variables: valid age_confidence/accuracy mean: 0.724536 2021-02-04 23:12:39.809: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:12:39.811: INFO @metrics_hook: train age_mae: 13.180 +-0.187 (13824) 2021-02-04 23:12:39.813: INFO @metrics_hook: train gender_accuracy: 0.744 +-0.007 (13824) 2021-02-04 23:12:41.317: INFO @metrics_hook: valid age_mae: 11.610 +-0.301 (3986) 2021-02-04 23:12:41.317: INFO @metrics_hook: valid gender_accuracy: 0.797 +-0.013 (3986) 2021-02-04 23:12:42.687: INFO @decay_lr : LR updated to `0.00024921552` 2021-02-04 23:12:42.899: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:12:42.901: INFO @log_profile : T train: 12.310395 2021-02-04 23:12:42.901: INFO @log_profile : T valid: 1.560980 2021-02-04 23:12:42.901: INFO @log_profile : T read data: 0.395893 2021-02-04 23:12:42.901: INFO @log_profile : T hooks: 3.685527 2021-02-04 23:12:42.901: INFO @main_loop : Epoch 37 done 2021-02-04 23:12:42.901: INFO @main_loop : Training epoch 38 2021-02-04 23:12:57.804: INFO @log_variables: train loss nanmean: 1.854027 2021-02-04 23:12:57.804: INFO @log_variables: train age_loss mean: 14.075553 2021-02-04 23:12:57.806: INFO @log_variables: train gender_loss mean: 0.496817 2021-02-04 23:12:57.806: INFO @log_variables: train age_mae mean: 13.334969 2021-02-04 23:12:57.806: INFO @log_variables: train gender_accuracy mean: 0.756211 2021-02-04 23:12:57.806: INFO @log_variables: train gender_confidence/loss nanmean: 0.076631 2021-02-04 23:12:57.807: INFO @log_variables: train gender_confidence/accuracy mean: 0.692113 2021-02-04 23:12:57.807: INFO @log_variables: train age_confidence/loss mean: 0.046149 2021-02-04 23:12:57.807: INFO @log_variables: train age_confidence/accuracy mean: 0.757949 2021-02-04 23:12:57.807: INFO @log_variables: valid loss nanmean: 1.629973 2021-02-04 23:12:57.807: INFO @log_variables: valid age_loss mean: 12.104127 2021-02-04 23:12:57.807: INFO @log_variables: valid gender_loss mean: 0.441109 2021-02-04 23:12:57.807: INFO @log_variables: valid age_mae mean: 11.397031 2021-02-04 23:12:57.807: INFO @log_variables: valid gender_accuracy mean: 0.795785 2021-02-04 23:12:57.807: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075706 2021-02-04 23:12:57.807: INFO @log_variables: valid gender_confidence/accuracy mean: 0.764426 2021-02-04 23:12:57.807: INFO @log_variables: valid age_confidence/loss mean: 0.052884 2021-02-04 23:12:57.807: INFO @log_variables: valid age_confidence/accuracy mean: 0.705218 2021-02-04 23:12:57.807: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:12:57.809: INFO @metrics_hook: train age_mae: 13.335 +-0.187 (13807) 2021-02-04 23:12:57.811: INFO @metrics_hook: train gender_accuracy: 0.756 +-0.007 (13807) 2021-02-04 23:12:59.301: INFO @metrics_hook: valid age_mae: 11.397 +-0.310 (3986) 2021-02-04 23:12:59.301: INFO @metrics_hook: valid gender_accuracy: 0.796 +-0.013 (3986) 2021-02-04 23:13:00.620: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:13:00.620: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.17 2021-02-04 23:13:00.620: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:13:00.620: INFO @evaluate_confidence: Average confidence of all samples 0.62 +- 0.17 2021-02-04 23:13:00.707: INFO @evaluate_confidence: Previous accuracy would be: 75.62 2021-02-04 23:13:00.707: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:13:00.710: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [82.68, 83.33, 83.88, 84.58, 85.17, 85.68, 86.18, 86.6, 87.15, 87.72, 88.35] 2021-02-04 23:13:00.710: INFO @evaluate_confidence: Dropped ratios are: [36.44, 38.78, 41.15, 43.75, 45.97, 48.07, 50.25, 52.33, 54.5, 56.49, 58.35] 2021-02-04 23:13:00.716: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:13:00.716: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.41 +- 0.20 2021-02-04 23:13:00.716: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.32 +- 0.10 2021-02-04 23:13:00.716: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.14 2021-02-04 23:13:00.810: INFO @evaluate_confidence: Previous accuracy would be: 26.37 2021-02-04 23:13:00.810: INFO @evaluate_confidence: Possible optimal thresholds are: [0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:13:00.813: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [33.58, 34.8, 35.94, 37.3, 38.62, 40.11, 41.79, 43.62, 45.03, 47.3] 2021-02-04 23:13:00.813: INFO @evaluate_confidence: Dropped ratios are: [56.75, 61.4, 65.2, 68.57, 71.64, 74.47, 77.11, 79.33, 80.99, 82.73] 2021-02-04 23:13:00.814: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:13:00.815: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.17 2021-02-04 23:13:00.815: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:13:00.815: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.18 2021-02-04 23:13:00.889: INFO @evaluate_confidence: Previous accuracy would be: 79.58 2021-02-04 23:13:00.889: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:13:00.890: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.11, 87.69, 87.9, 88.13, 88.62, 88.99, 89.16, 89.68, 90.06, 90.47, 90.9, 91.33, 91.5, 91.92, 92.72, 93.2] 2021-02-04 23:13:00.890: INFO @evaluate_confidence: Dropped ratios are: [31.11, 33.37, 35.3, 36.83, 38.74, 40.52, 42.12, 43.85, 45.76, 47.62, 49.55, 50.8, 52.21, 53.76, 55.57, 57.18] 2021-02-04 23:13:00.892: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:13:00.892: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.39 +- 0.17 2021-02-04 23:13:00.892: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:13:00.892: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.13 2021-02-04 23:13:00.993: INFO @evaluate_confidence: Previous accuracy would be: 30.48 2021-02-04 23:13:00.993: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38] 2021-02-04 23:13:00.994: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [37.59, 39.01, 40.94, 41.32, 42.66, 43.19] 2021-02-04 23:13:00.994: INFO @evaluate_confidence: Dropped ratios are: [56.82, 61.87, 67.03, 70.67, 74.54, 77.7] 2021-02-04 23:13:01.008: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:13:01.366: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:01.425: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:13:01.661: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:01.812: INFO @decay_lr : LR updated to `0.00024796944` 2021-02-04 23:13:01.813: INFO @log_profile : T train: 12.318227 2021-02-04 23:13:01.813: INFO @log_profile : T valid: 1.486823 2021-02-04 23:13:01.813: INFO @log_profile : T read data: 0.481599 2021-02-04 23:13:01.813: INFO @log_profile : T hooks: 4.579383 2021-02-04 23:13:01.813: INFO @main_loop : Epoch 38 done 2021-02-04 23:13:01.813: INFO @main_loop : Training epoch 39 2021-02-04 23:13:17.366: INFO @log_variables: train loss nanmean: 1.847475 2021-02-04 23:13:17.366: INFO @log_variables: train age_loss mean: 13.927032 2021-02-04 23:13:17.366: INFO @log_variables: train gender_loss mean: 0.502472 2021-02-04 23:13:17.366: INFO @log_variables: train age_mae mean: 13.190952 2021-02-04 23:13:17.366: INFO @log_variables: train gender_accuracy mean: 0.750289 2021-02-04 23:13:17.366: INFO @log_variables: train gender_confidence/loss nanmean: 0.077165 2021-02-04 23:13:17.366: INFO @log_variables: train gender_confidence/accuracy mean: 0.679326 2021-02-04 23:13:17.366: INFO @log_variables: train age_confidence/loss mean: 0.047424 2021-02-04 23:13:17.366: INFO @log_variables: train age_confidence/accuracy mean: 0.748770 2021-02-04 23:13:17.367: INFO @log_variables: valid loss nanmean: 1.657552 2021-02-04 23:13:17.367: INFO @log_variables: valid age_loss mean: 12.379947 2021-02-04 23:13:17.367: INFO @log_variables: valid gender_loss mean: 0.445863 2021-02-04 23:13:17.367: INFO @log_variables: valid age_mae mean: 11.665981 2021-02-04 23:13:17.367: INFO @log_variables: valid gender_accuracy mean: 0.786001 2021-02-04 23:13:17.367: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074406 2021-02-04 23:13:17.367: INFO @log_variables: valid gender_confidence/accuracy mean: 0.753387 2021-02-04 23:13:17.367: INFO @log_variables: valid age_confidence/loss mean: 0.052367 2021-02-04 23:13:17.367: INFO @log_variables: valid age_confidence/accuracy mean: 0.701957 2021-02-04 23:13:17.367: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:13:17.369: INFO @metrics_hook: train age_mae: 13.191 +-0.185 (13824) 2021-02-04 23:13:17.371: INFO @metrics_hook: train gender_accuracy: 0.750 +-0.007 (13824) 2021-02-04 23:13:18.930: INFO @metrics_hook: valid age_mae: 11.666 +-0.315 (3986) 2021-02-04 23:13:18.930: INFO @metrics_hook: valid gender_accuracy: 0.786 +-0.013 (3986) 2021-02-04 23:13:20.400: INFO @decay_lr : LR updated to `0.00024672959` 2021-02-04 23:13:20.401: INFO @log_profile : T train: 12.885616 2021-02-04 23:13:20.401: INFO @log_profile : T valid: 1.615348 2021-02-04 23:13:20.401: INFO @log_profile : T read data: 0.406477 2021-02-04 23:13:20.401: INFO @log_profile : T hooks: 3.630056 2021-02-04 23:13:20.401: INFO @main_loop : Epoch 39 done 2021-02-04 23:13:20.401: INFO @main_loop : Training epoch 40 2021-02-04 23:13:36.394: INFO @log_variables: train loss nanmean: 1.830435 2021-02-04 23:13:36.394: INFO @log_variables: train age_loss mean: 13.951860 2021-02-04 23:13:36.394: INFO @log_variables: train gender_loss mean: 0.482652 2021-02-04 23:13:36.394: INFO @log_variables: train age_mae mean: 13.220403 2021-02-04 23:13:36.394: INFO @log_variables: train gender_accuracy mean: 0.762080 2021-02-04 23:13:36.394: INFO @log_variables: train gender_confidence/loss nanmean: 0.076095 2021-02-04 23:13:36.394: INFO @log_variables: train gender_confidence/accuracy mean: 0.697121 2021-02-04 23:13:36.394: INFO @log_variables: train age_confidence/loss mean: 0.047214 2021-02-04 23:13:36.394: INFO @log_variables: train age_confidence/accuracy mean: 0.752604 2021-02-04 23:13:36.394: INFO @log_variables: valid loss nanmean: 1.621788 2021-02-04 23:13:36.394: INFO @log_variables: valid age_loss mean: 12.122082 2021-02-04 23:13:36.394: INFO @log_variables: valid gender_loss mean: 0.429979 2021-02-04 23:13:36.394: INFO @log_variables: valid age_mae mean: 11.418091 2021-02-04 23:13:36.394: INFO @log_variables: valid gender_accuracy mean: 0.798545 2021-02-04 23:13:36.394: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075322 2021-02-04 23:13:36.395: INFO @log_variables: valid gender_confidence/accuracy mean: 0.752634 2021-02-04 23:13:36.395: INFO @log_variables: valid age_confidence/loss mean: 0.053568 2021-02-04 23:13:36.395: INFO @log_variables: valid age_confidence/accuracy mean: 0.695434 2021-02-04 23:13:36.395: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:13:36.396: INFO @metrics_hook: train age_mae: 13.220 +-0.186 (13824) 2021-02-04 23:13:36.397: INFO @metrics_hook: train gender_accuracy: 0.762 +-0.007 (13824) 2021-02-04 23:13:37.888: INFO @metrics_hook: valid age_mae: 11.418 +-0.309 (3986) 2021-02-04 23:13:37.888: INFO @metrics_hook: valid gender_accuracy: 0.799 +-0.013 (3986) 2021-02-04 23:13:39.229: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:13:39.229: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.17 2021-02-04 23:13:39.229: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.12 2021-02-04 23:13:39.229: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.17 2021-02-04 23:13:39.318: INFO @evaluate_confidence: Previous accuracy would be: 76.21 2021-02-04 23:13:39.318: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:13:39.321: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [84.1, 84.73, 85.35, 86.03, 86.52, 87.04, 87.63, 88.01, 88.48, 89.12, 89.52] 2021-02-04 23:13:39.321: INFO @evaluate_confidence: Dropped ratios are: [37.59, 39.71, 42.17, 44.55, 46.84, 49.0, 51.11, 53.12, 55.1, 56.9, 58.54] 2021-02-04 23:13:39.327: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:13:39.327: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.41 +- 0.19 2021-02-04 23:13:39.327: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.32 +- 0.09 2021-02-04 23:13:39.327: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.13 2021-02-04 23:13:39.419: INFO @evaluate_confidence: Previous accuracy would be: 27.30 2021-02-04 23:13:39.419: INFO @evaluate_confidence: Possible optimal thresholds are: [0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:13:39.422: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [33.53, 34.72, 36.04, 37.53, 39.11, 40.59, 42.83, 44.9, 46.51, 48.36] 2021-02-04 23:13:39.422: INFO @evaluate_confidence: Dropped ratios are: [54.0, 58.79, 63.09, 67.02, 70.46, 73.21, 75.9, 78.23, 80.19, 81.94] 2021-02-04 23:13:39.424: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:13:39.424: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.17 2021-02-04 23:13:39.424: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:13:39.424: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.17 2021-02-04 23:13:39.507: INFO @evaluate_confidence: Previous accuracy would be: 79.85 2021-02-04 23:13:39.508: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:13:39.509: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.97, 87.43, 87.71, 88.12, 88.7, 89.35, 89.73, 90.36, 90.85, 91.24, 91.86, 92.34, 92.84, 93.09, 93.6] 2021-02-04 23:13:39.509: INFO @evaluate_confidence: Dropped ratios are: [30.28, 32.16, 34.3, 36.03, 37.86, 40.17, 42.32, 44.58, 46.56, 48.47, 50.35, 51.88, 53.74, 55.34, 57.25] 2021-02-04 23:13:39.511: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:13:39.511: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.41 +- 0.17 2021-02-04 23:13:39.511: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:13:39.511: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.13 2021-02-04 23:13:39.608: INFO @evaluate_confidence: Previous accuracy would be: 31.31 2021-02-04 23:13:39.610: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:13:39.611: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [38.82, 40.06, 41.07, 42.33, 42.32, 43.63, 45.25] 2021-02-04 23:13:39.611: INFO @evaluate_confidence: Dropped ratios are: [62.07, 66.06, 70.07, 73.51, 76.17, 78.32, 80.21] 2021-02-04 23:13:39.621: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:13:39.957: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:40.015: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:13:40.252: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:40.309: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:13:40.647: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:40.709: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:13:40.710: INFO @evaluate_gender-age_model: groups 0 14.866695 1 13.958844 2 11.765264 3 9.480741 4 10.197145 5 13.034701 6 15.839175 7 17.091831 Name: errors, dtype: float64 2021-02-04 23:13:40.711: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:13:40.957: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:13:41.014: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:13:41.015: INFO @evaluate_gender-age_model: groups 0 11.677065 1 10.703086 2 9.952214 3 8.992466 4 10.736315 5 12.852313 6 15.224157 7 14.585337 Name: errors, dtype: float64 2021-02-04 23:13:41.117: INFO @decay_lr : LR updated to `0.00024549593` 2021-02-04 23:13:41.305: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:13:41.307: INFO @log_profile : T train: 12.862889 2021-02-04 23:13:41.307: INFO @log_profile : T valid: 1.571556 2021-02-04 23:13:41.307: INFO @log_profile : T read data: 0.396957 2021-02-04 23:13:41.307: INFO @log_profile : T hooks: 6.025677 2021-02-04 23:13:41.307: INFO @main_loop : Epoch 40 done 2021-02-04 23:13:41.307: INFO @main_loop : Training epoch 41 2021-02-04 23:13:56.857: INFO @log_variables: train loss nanmean: 1.812042 2021-02-04 23:13:56.857: INFO @log_variables: train age_loss mean: 13.640093 2021-02-04 23:13:56.857: INFO @log_variables: train gender_loss mean: 0.491563 2021-02-04 23:13:56.857: INFO @log_variables: train age_mae mean: 12.918778 2021-02-04 23:13:56.857: INFO @log_variables: train gender_accuracy mean: 0.760774 2021-02-04 23:13:56.857: INFO @log_variables: train gender_confidence/loss nanmean: 0.077420 2021-02-04 23:13:56.858: INFO @log_variables: train gender_confidence/accuracy mean: 0.694865 2021-02-04 23:13:56.858: INFO @log_variables: train age_confidence/loss mean: 0.047738 2021-02-04 23:13:56.858: INFO @log_variables: train age_confidence/accuracy mean: 0.742739 2021-02-04 23:13:56.858: INFO @log_variables: valid loss nanmean: 1.570494 2021-02-04 23:13:56.858: INFO @log_variables: valid age_loss mean: 11.760608 2021-02-04 23:13:56.858: INFO @log_variables: valid gender_loss mean: 0.410183 2021-02-04 23:13:56.858: INFO @log_variables: valid age_mae mean: 11.063644 2021-02-04 23:13:56.858: INFO @log_variables: valid gender_accuracy mean: 0.811591 2021-02-04 23:13:56.858: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075596 2021-02-04 23:13:56.858: INFO @log_variables: valid gender_confidence/accuracy mean: 0.780983 2021-02-04 23:13:56.858: INFO @log_variables: valid age_confidence/loss mean: 0.052858 2021-02-04 23:13:56.858: INFO @log_variables: valid age_confidence/accuracy mean: 0.708731 2021-02-04 23:13:56.858: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:13:56.860: INFO @metrics_hook: train age_mae: 12.919 +-0.185 (13807) 2021-02-04 23:13:56.861: INFO @metrics_hook: train gender_accuracy: 0.761 +-0.007 (13807) 2021-02-04 23:13:58.320: INFO @metrics_hook: valid age_mae: 11.064 +-0.296 (3986) 2021-02-04 23:13:58.320: INFO @metrics_hook: valid gender_accuracy: 0.812 +-0.012 (3986) 2021-02-04 23:13:59.672: INFO @decay_lr : LR updated to `0.00024426845` 2021-02-04 23:13:59.873: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:13:59.875: INFO @log_profile : T train: 12.779037 2021-02-04 23:13:59.875: INFO @log_profile : T valid: 1.611653 2021-02-04 23:13:59.875: INFO @log_profile : T read data: 0.515662 2021-02-04 23:13:59.875: INFO @log_profile : T hooks: 3.612903 2021-02-04 23:13:59.875: INFO @main_loop : Epoch 41 done 2021-02-04 23:13:59.875: INFO @main_loop : Training epoch 42 2021-02-04 23:14:15.312: INFO @log_variables: train loss nanmean: 1.811536 2021-02-04 23:14:15.312: INFO @log_variables: train age_loss mean: 13.654676 2021-02-04 23:14:15.312: INFO @log_variables: train gender_loss mean: 0.490859 2021-02-04 23:14:15.312: INFO @log_variables: train age_mae mean: 12.933024 2021-02-04 23:14:15.312: INFO @log_variables: train gender_accuracy mean: 0.761068 2021-02-04 23:14:15.312: INFO @log_variables: train gender_confidence/loss nanmean: 0.076852 2021-02-04 23:14:15.312: INFO @log_variables: train gender_confidence/accuracy mean: 0.692564 2021-02-04 23:14:15.312: INFO @log_variables: train age_confidence/loss mean: 0.047114 2021-02-04 23:14:15.313: INFO @log_variables: train age_confidence/accuracy mean: 0.752459 2021-02-04 23:14:15.313: INFO @log_variables: valid loss nanmean: 1.579041 2021-02-04 23:14:15.313: INFO @log_variables: valid age_loss mean: 11.613709 2021-02-04 23:14:15.313: INFO @log_variables: valid gender_loss mean: 0.434360 2021-02-04 23:14:15.313: INFO @log_variables: valid age_mae mean: 10.918459 2021-02-04 23:14:15.313: INFO @log_variables: valid gender_accuracy mean: 0.799298 2021-02-04 23:14:15.313: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074917 2021-02-04 23:14:15.313: INFO @log_variables: valid gender_confidence/accuracy mean: 0.768690 2021-02-04 23:14:15.313: INFO @log_variables: valid age_confidence/loss mean: 0.053460 2021-02-04 23:14:15.313: INFO @log_variables: valid age_confidence/accuracy mean: 0.699197 2021-02-04 23:14:15.313: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:14:15.315: INFO @metrics_hook: train age_mae: 12.933 +-0.183 (13824) 2021-02-04 23:14:15.316: INFO @metrics_hook: train gender_accuracy: 0.761 +-0.007 (13824) 2021-02-04 23:14:16.773: INFO @metrics_hook: valid age_mae: 10.918 +-0.289 (3986) 2021-02-04 23:14:16.773: INFO @metrics_hook: valid gender_accuracy: 0.799 +-0.013 (3986) 2021-02-04 23:14:18.023: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:14:18.023: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.17 2021-02-04 23:14:18.023: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:14:18.023: INFO @evaluate_confidence: Average confidence of all samples 0.62 +- 0.17 2021-02-04 23:14:18.112: INFO @evaluate_confidence: Previous accuracy would be: 76.11 2021-02-04 23:14:18.112: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:14:18.115: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [83.54, 83.99, 84.71, 85.3, 85.56, 86.03, 86.67, 87.07, 87.47, 87.91, 88.53] 2021-02-04 23:14:18.115: INFO @evaluate_confidence: Dropped ratios are: [37.39, 39.84, 42.35, 44.69, 46.96, 48.99, 50.99, 53.05, 54.9, 56.6, 58.49] 2021-02-04 23:14:18.121: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:14:18.121: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.19 2021-02-04 23:14:18.121: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.09 2021-02-04 23:14:18.121: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.13 2021-02-04 23:14:18.207: INFO @evaluate_confidence: Previous accuracy would be: 27.56 2021-02-04 23:14:18.208: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:14:18.210: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [34.8, 36.05, 37.68, 39.2, 40.9, 42.99, 44.72, 46.73, 49.06] 2021-02-04 23:14:18.210: INFO @evaluate_confidence: Dropped ratios are: [55.42, 60.37, 64.52, 68.71, 71.9, 74.93, 77.31, 79.33, 81.21] 2021-02-04 23:14:18.211: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:14:18.212: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.17 2021-02-04 23:14:18.212: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.13 2021-02-04 23:14:18.212: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.18 2021-02-04 23:14:18.281: INFO @evaluate_confidence: Previous accuracy would be: 79.93 2021-02-04 23:14:18.281: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:14:18.282: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.41, 88.93, 89.17, 89.37, 89.75, 89.94, 90.19, 90.66, 91.05, 91.45, 91.77, 92.26, 92.81, 93.32] 2021-02-04 23:14:18.282: INFO @evaluate_confidence: Dropped ratios are: [32.26, 34.04, 35.83, 37.93, 40.02, 41.65, 43.25, 45.21, 46.76, 48.67, 50.33, 52.01, 53.61, 54.92] 2021-02-04 23:14:18.284: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:14:18.284: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.16 2021-02-04 23:14:18.284: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.09 2021-02-04 23:14:18.284: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.12 2021-02-04 23:14:18.374: INFO @evaluate_confidence: Previous accuracy would be: 31.61 2021-02-04 23:14:18.375: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:14:18.375: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.18, 41.27, 42.47, 43.39, 44.93, 46.06, 46.67] 2021-02-04 23:14:18.375: INFO @evaluate_confidence: Dropped ratios are: [58.48, 63.22, 67.34, 71.32, 74.76, 77.72, 80.43] 2021-02-04 23:14:18.384: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:14:18.700: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:14:18.753: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:14:18.974: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:14:19.111: INFO @decay_lr : LR updated to `0.0002430471` 2021-02-04 23:14:19.113: INFO @log_profile : T train: 12.826101 2021-02-04 23:14:19.113: INFO @log_profile : T valid: 1.594312 2021-02-04 23:14:19.113: INFO @log_profile : T read data: 0.401953 2021-02-04 23:14:19.113: INFO @log_profile : T hooks: 4.367566 2021-02-04 23:14:19.113: INFO @main_loop : Epoch 42 done 2021-02-04 23:14:19.113: INFO @main_loop : Training epoch 43 2021-02-04 23:14:34.492: INFO @log_variables: train loss nanmean: 1.801019 2021-02-04 23:14:34.492: INFO @log_variables: train age_loss mean: 13.585729 2021-02-04 23:14:34.493: INFO @log_variables: train gender_loss mean: 0.484435 2021-02-04 23:14:34.493: INFO @log_variables: train age_mae mean: 12.866195 2021-02-04 23:14:34.493: INFO @log_variables: train gender_accuracy mean: 0.768012 2021-02-04 23:14:34.493: INFO @log_variables: train gender_confidence/loss nanmean: 0.077552 2021-02-04 23:14:34.493: INFO @log_variables: train gender_confidence/accuracy mean: 0.702836 2021-02-04 23:14:34.493: INFO @log_variables: train age_confidence/loss mean: 0.048005 2021-02-04 23:14:34.493: INFO @log_variables: train age_confidence/accuracy mean: 0.743273 2021-02-04 23:14:34.493: INFO @log_variables: valid loss nanmean: 1.562024 2021-02-04 23:14:34.493: INFO @log_variables: valid age_loss mean: 11.543024 2021-02-04 23:14:34.493: INFO @log_variables: valid gender_loss mean: 0.421635 2021-02-04 23:14:34.493: INFO @log_variables: valid age_mae mean: 10.855292 2021-02-04 23:14:34.493: INFO @log_variables: valid gender_accuracy mean: 0.805820 2021-02-04 23:14:34.493: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075792 2021-02-04 23:14:34.493: INFO @log_variables: valid gender_confidence/accuracy mean: 0.767687 2021-02-04 23:14:34.493: INFO @log_variables: valid age_confidence/loss mean: 0.053563 2021-02-04 23:14:34.493: INFO @log_variables: valid age_confidence/accuracy mean: 0.700201 2021-02-04 23:14:34.493: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:14:34.495: INFO @metrics_hook: train age_mae: 12.866 +-0.184 (13824) 2021-02-04 23:14:34.497: INFO @metrics_hook: train gender_accuracy: 0.768 +-0.007 (13824) 2021-02-04 23:14:36.009: INFO @metrics_hook: valid age_mae: 10.855 +-0.293 (3986) 2021-02-04 23:14:36.009: INFO @metrics_hook: valid gender_accuracy: 0.806 +-0.013 (3986) 2021-02-04 23:14:37.405: INFO @decay_lr : LR updated to `0.00024183188` 2021-02-04 23:14:37.406: INFO @log_profile : T train: 12.738570 2021-02-04 23:14:37.406: INFO @log_profile : T valid: 1.643037 2021-02-04 23:14:37.406: INFO @log_profile : T read data: 0.401654 2021-02-04 23:14:37.407: INFO @log_profile : T hooks: 3.464215 2021-02-04 23:14:37.407: INFO @main_loop : Epoch 43 done 2021-02-04 23:14:37.407: INFO @main_loop : Training epoch 44 2021-02-04 23:14:53.051: INFO @log_variables: train loss nanmean: 1.789643 2021-02-04 23:14:53.052: INFO @log_variables: train age_loss mean: 13.493482 2021-02-04 23:14:53.052: INFO @log_variables: train gender_loss mean: 0.481071 2021-02-04 23:14:53.052: INFO @log_variables: train age_mae mean: 12.778090 2021-02-04 23:14:53.052: INFO @log_variables: train gender_accuracy mean: 0.771565 2021-02-04 23:14:53.052: INFO @log_variables: train gender_confidence/loss nanmean: 0.077873 2021-02-04 23:14:53.052: INFO @log_variables: train gender_confidence/accuracy mean: 0.695734 2021-02-04 23:14:53.052: INFO @log_variables: train age_confidence/loss mean: 0.047752 2021-02-04 23:14:53.052: INFO @log_variables: train age_confidence/accuracy mean: 0.745419 2021-02-04 23:14:53.052: INFO @log_variables: valid loss nanmean: 1.559231 2021-02-04 23:14:53.052: INFO @log_variables: valid age_loss mean: 11.549273 2021-02-04 23:14:53.052: INFO @log_variables: valid gender_loss mean: 0.418710 2021-02-04 23:14:53.052: INFO @log_variables: valid age_mae mean: 10.861554 2021-02-04 23:14:53.052: INFO @log_variables: valid gender_accuracy mean: 0.803813 2021-02-04 23:14:53.052: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075816 2021-02-04 23:14:53.052: INFO @log_variables: valid gender_confidence/accuracy mean: 0.776468 2021-02-04 23:14:53.052: INFO @log_variables: valid age_confidence/loss mean: 0.052835 2021-02-04 23:14:53.053: INFO @log_variables: valid age_confidence/accuracy mean: 0.709483 2021-02-04 23:14:53.053: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:14:53.054: INFO @metrics_hook: train age_mae: 12.778 +-0.183 (13807) 2021-02-04 23:14:53.056: INFO @metrics_hook: train gender_accuracy: 0.772 +-0.007 (13807) 2021-02-04 23:14:54.525: INFO @metrics_hook: valid age_mae: 10.862 +-0.285 (3986) 2021-02-04 23:14:54.526: INFO @metrics_hook: valid gender_accuracy: 0.804 +-0.013 (3986) 2021-02-04 23:14:55.822: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:14:55.822: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.17 2021-02-04 23:14:55.822: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:14:55.822: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.16 2021-02-04 23:14:55.920: INFO @evaluate_confidence: Previous accuracy would be: 77.16 2021-02-04 23:14:55.920: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64] 2021-02-04 23:14:55.923: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [84.01, 84.44, 84.83, 85.46, 86.1, 86.69, 87.16, 87.77, 88.04, 88.53, 88.89] 2021-02-04 23:14:55.923: INFO @evaluate_confidence: Dropped ratios are: [36.49, 38.86, 40.99, 43.22, 45.77, 47.96, 49.97, 52.1, 54.2, 56.11, 57.94] 2021-02-04 23:14:55.931: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:14:55.931: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.19 2021-02-04 23:14:55.931: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.09 2021-02-04 23:14:55.931: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.14 2021-02-04 23:14:56.032: INFO @evaluate_confidence: Previous accuracy would be: 28.20 2021-02-04 23:14:56.032: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:14:56.035: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [35.6, 36.64, 38.15, 39.52, 41.36, 43.04, 44.8, 46.26, 48.54] 2021-02-04 23:14:56.035: INFO @evaluate_confidence: Dropped ratios are: [54.09, 58.87, 63.11, 66.72, 70.28, 73.33, 75.96, 78.29, 80.38] 2021-02-04 23:14:56.037: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:14:56.037: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.16 2021-02-04 23:14:56.037: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.12 2021-02-04 23:14:56.037: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.17 2021-02-04 23:14:56.106: INFO @evaluate_confidence: Previous accuracy would be: 80.38 2021-02-04 23:14:56.106: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:14:56.107: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.72, 88.2, 88.53, 89.21, 89.84, 90.25, 90.63, 90.95, 91.53, 92.15, 92.67, 93.14, 93.15, 93.2] 2021-02-04 23:14:56.107: INFO @evaluate_confidence: Dropped ratios are: [30.33, 32.59, 34.8, 36.73, 39.04, 41.09, 42.72, 44.83, 46.39, 48.19, 50.0, 51.76, 53.11, 54.62] 2021-02-04 23:14:56.109: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:14:56.109: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.16 2021-02-04 23:14:56.109: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.08 2021-02-04 23:14:56.109: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.11 2021-02-04 23:14:56.208: INFO @evaluate_confidence: Previous accuracy would be: 30.96 2021-02-04 23:14:56.208: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:14:56.209: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [37.46, 38.76, 41.6, 43.47, 45.07, 47.04, 48.48] 2021-02-04 23:14:56.209: INFO @evaluate_confidence: Dropped ratios are: [55.87, 62.07, 67.44, 71.37, 74.79, 78.4, 80.96] 2021-02-04 23:14:56.221: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:14:58.586: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:14:58.640: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:14:58.871: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:14:59.012: INFO @decay_lr : LR updated to `0.00024062271` 2021-02-04 23:14:59.013: INFO @log_profile : T train: 12.984962 2021-02-04 23:14:59.013: INFO @log_profile : T valid: 1.526211 2021-02-04 23:14:59.013: INFO @log_profile : T read data: 0.500108 2021-02-04 23:14:59.013: INFO @log_profile : T hooks: 6.545656 2021-02-04 23:14:59.013: INFO @main_loop : Epoch 44 done 2021-02-04 23:14:59.013: INFO @main_loop : Training epoch 45 2021-02-04 23:15:14.437: INFO @log_variables: train loss nanmean: 1.792135 2021-02-04 23:15:14.437: INFO @log_variables: train age_loss mean: 13.600692 2021-02-04 23:15:14.438: INFO @log_variables: train gender_loss mean: 0.474164 2021-02-04 23:15:14.438: INFO @log_variables: train age_mae mean: 12.886181 2021-02-04 23:15:14.438: INFO @log_variables: train gender_accuracy mean: 0.769604 2021-02-04 23:15:14.438: INFO @log_variables: train gender_confidence/loss nanmean: 0.076731 2021-02-04 23:15:14.438: INFO @log_variables: train gender_confidence/accuracy mean: 0.708044 2021-02-04 23:15:14.438: INFO @log_variables: train age_confidence/loss mean: 0.047921 2021-02-04 23:15:14.438: INFO @log_variables: train age_confidence/accuracy mean: 0.743924 2021-02-04 23:15:14.438: INFO @log_variables: valid loss nanmean: 1.576833 2021-02-04 23:15:14.438: INFO @log_variables: valid age_loss mean: 11.719127 2021-02-04 23:15:14.438: INFO @log_variables: valid gender_loss mean: 0.422730 2021-02-04 23:15:14.438: INFO @log_variables: valid age_mae mean: 11.034326 2021-02-04 23:15:14.438: INFO @log_variables: valid gender_accuracy mean: 0.803061 2021-02-04 23:15:14.438: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073999 2021-02-04 23:15:14.438: INFO @log_variables: valid gender_confidence/accuracy mean: 0.766182 2021-02-04 23:15:14.438: INFO @log_variables: valid age_confidence/loss mean: 0.053159 2021-02-04 23:15:14.438: INFO @log_variables: valid age_confidence/accuracy mean: 0.703713 2021-02-04 23:15:14.438: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:15:14.440: INFO @metrics_hook: train age_mae: 12.886 +-0.185 (13824) 2021-02-04 23:15:14.442: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13824) 2021-02-04 23:15:15.855: INFO @metrics_hook: valid age_mae: 11.034 +-0.296 (3986) 2021-02-04 23:15:15.855: INFO @metrics_hook: valid gender_accuracy: 0.803 +-0.013 (3986) 2021-02-04 23:15:17.180: INFO @decay_lr : LR updated to `0.0002394196` 2021-02-04 23:15:17.181: INFO @log_profile : T train: 12.778272 2021-02-04 23:15:17.181: INFO @log_profile : T valid: 1.604289 2021-02-04 23:15:17.181: INFO @log_profile : T read data: 0.397626 2021-02-04 23:15:17.181: INFO @log_profile : T hooks: 3.339534 2021-02-04 23:15:17.181: INFO @main_loop : Epoch 45 done 2021-02-04 23:15:17.181: INFO @main_loop : Training epoch 46 2021-02-04 23:15:32.566: INFO @log_variables: train loss nanmean: 1.771740 2021-02-04 23:15:32.566: INFO @log_variables: train age_loss mean: 13.354598 2021-02-04 23:15:32.566: INFO @log_variables: train gender_loss mean: 0.476246 2021-02-04 23:15:32.567: INFO @log_variables: train age_mae mean: 12.646968 2021-02-04 23:15:32.567: INFO @log_variables: train gender_accuracy mean: 0.768953 2021-02-04 23:15:32.567: INFO @log_variables: train gender_confidence/loss nanmean: 0.076536 2021-02-04 23:15:32.567: INFO @log_variables: train gender_confidence/accuracy mean: 0.696687 2021-02-04 23:15:32.567: INFO @log_variables: train age_confidence/loss mean: 0.048198 2021-02-04 23:15:32.567: INFO @log_variables: train age_confidence/accuracy mean: 0.742405 2021-02-04 23:15:32.567: INFO @log_variables: valid loss nanmean: 1.537478 2021-02-04 23:15:32.567: INFO @log_variables: valid age_loss mean: 11.387701 2021-02-04 23:15:32.567: INFO @log_variables: valid gender_loss mean: 0.405818 2021-02-04 23:15:32.567: INFO @log_variables: valid age_mae mean: 10.702445 2021-02-04 23:15:32.567: INFO @log_variables: valid gender_accuracy mean: 0.814852 2021-02-04 23:15:32.567: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076892 2021-02-04 23:15:32.567: INFO @log_variables: valid gender_confidence/accuracy mean: 0.783743 2021-02-04 23:15:32.567: INFO @log_variables: valid age_confidence/loss mean: 0.056415 2021-02-04 23:15:32.567: INFO @log_variables: valid age_confidence/accuracy mean: 0.680381 2021-02-04 23:15:32.567: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:15:32.569: INFO @metrics_hook: train age_mae: 12.647 +-0.181 (13824) 2021-02-04 23:15:32.571: INFO @metrics_hook: train gender_accuracy: 0.769 +-0.007 (13824) 2021-02-04 23:15:34.035: INFO @metrics_hook: valid age_mae: 10.702 +-0.292 (3986) 2021-02-04 23:15:34.035: INFO @metrics_hook: valid gender_accuracy: 0.815 +-0.012 (3986) 2021-02-04 23:15:35.321: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:15:35.321: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.65 +- 0.17 2021-02-04 23:15:35.321: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.13 2021-02-04 23:15:35.321: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.17 2021-02-04 23:15:35.405: INFO @evaluate_confidence: Previous accuracy would be: 76.90 2021-02-04 23:15:35.406: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65] 2021-02-04 23:15:35.408: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [84.26, 84.78, 85.36, 85.78, 86.37, 86.7, 87.14, 87.65, 88.13, 88.26, 88.7, 89.37, 89.75] 2021-02-04 23:15:35.409: INFO @evaluate_confidence: Dropped ratios are: [35.47, 37.69, 39.86, 41.89, 44.01, 46.16, 48.02, 50.1, 51.68, 53.61, 55.32, 57.18, 58.77] 2021-02-04 23:15:35.414: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:15:35.414: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.20 2021-02-04 23:15:35.415: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:15:35.415: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.14 2021-02-04 23:15:35.500: INFO @evaluate_confidence: Previous accuracy would be: 28.65 2021-02-04 23:15:35.501: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:15:35.503: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [36.12, 37.3, 38.49, 39.83, 41.08, 42.54, 44.27, 45.46, 47.26] 2021-02-04 23:15:35.503: INFO @evaluate_confidence: Dropped ratios are: [53.9, 58.22, 62.28, 66.05, 69.38, 72.33, 74.99, 77.12, 79.11] 2021-02-04 23:15:35.505: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:15:35.505: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.17 2021-02-04 23:15:35.505: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.13 2021-02-04 23:15:35.505: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.17 2021-02-04 23:15:35.573: INFO @evaluate_confidence: Previous accuracy would be: 81.49 2021-02-04 23:15:35.573: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:15:35.575: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.73, 89.23, 89.7, 89.87, 90.48, 90.87, 91.4, 92.13, 92.53, 92.8, 93.0, 93.3, 93.52, 93.74, 94.06, 94.41] 2021-02-04 23:15:35.575: INFO @evaluate_confidence: Dropped ratios are: [29.23, 31.54, 33.24, 35.12, 37.03, 38.99, 41.04, 43.28, 44.93, 47.01, 48.39, 50.23, 51.63, 53.49, 55.19, 56.5] 2021-02-04 23:15:35.576: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:15:35.576: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.38 +- 0.17 2021-02-04 23:15:35.577: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:15:35.577: INFO @evaluate_confidence: Average confidence of all samples 0.34 +- 0.13 2021-02-04 23:15:35.670: INFO @evaluate_confidence: Previous accuracy would be: 33.07 2021-02-04 23:15:35.671: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37] 2021-02-04 23:15:35.671: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [38.6, 40.25, 41.27, 43.98, 43.92] 2021-02-04 23:15:35.671: INFO @evaluate_confidence: Dropped ratios are: [60.81, 66.03, 70.27, 73.93, 76.69] 2021-02-04 23:15:35.681: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:15:35.995: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:15:36.049: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:15:36.275: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:15:36.415: INFO @decay_lr : LR updated to `0.0002382225` 2021-02-04 23:15:36.612: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:15:36.614: INFO @log_profile : T train: 12.734825 2021-02-04 23:15:36.614: INFO @log_profile : T valid: 1.606402 2021-02-04 23:15:36.614: INFO @log_profile : T read data: 0.399043 2021-02-04 23:15:36.614: INFO @log_profile : T hooks: 4.642486 2021-02-04 23:15:36.614: INFO @main_loop : Epoch 46 done 2021-02-04 23:15:36.614: INFO @main_loop : Training epoch 47 2021-02-04 23:15:51.676: INFO @log_variables: train loss nanmean: 1.754662 2021-02-04 23:15:51.676: INFO @log_variables: train age_loss mean: 13.309346 2021-02-04 23:15:51.676: INFO @log_variables: train gender_loss mean: 0.461500 2021-02-04 23:15:51.676: INFO @log_variables: train age_mae mean: 12.600825 2021-02-04 23:15:51.676: INFO @log_variables: train gender_accuracy mean: 0.780546 2021-02-04 23:15:51.676: INFO @log_variables: train gender_confidence/loss nanmean: 0.076756 2021-02-04 23:15:51.676: INFO @log_variables: train gender_confidence/accuracy mean: 0.712030 2021-02-04 23:15:51.676: INFO @log_variables: train age_confidence/loss mean: 0.048420 2021-02-04 23:15:51.676: INFO @log_variables: train age_confidence/accuracy mean: 0.736728 2021-02-04 23:15:51.676: INFO @log_variables: valid loss nanmean: 1.517077 2021-02-04 23:15:51.676: INFO @log_variables: valid age_loss mean: 11.239281 2021-02-04 23:15:51.676: INFO @log_variables: valid gender_loss mean: 0.400490 2021-02-04 23:15:51.676: INFO @log_variables: valid age_mae mean: 10.559102 2021-02-04 23:15:51.676: INFO @log_variables: valid gender_accuracy mean: 0.812594 2021-02-04 23:15:51.677: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075375 2021-02-04 23:15:51.677: INFO @log_variables: valid gender_confidence/accuracy mean: 0.779980 2021-02-04 23:15:51.677: INFO @log_variables: valid age_confidence/loss mean: 0.055868 2021-02-04 23:15:51.677: INFO @log_variables: valid age_confidence/accuracy mean: 0.678625 2021-02-04 23:15:51.677: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:15:51.678: INFO @metrics_hook: train age_mae: 12.601 +-0.182 (13807) 2021-02-04 23:15:51.678: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13807) 2021-02-04 23:15:53.103: INFO @metrics_hook: valid age_mae: 10.559 +-0.290 (3986) 2021-02-04 23:15:53.103: INFO @metrics_hook: valid gender_accuracy: 0.813 +-0.012 (3986) 2021-02-04 23:15:54.442: INFO @decay_lr : LR updated to `0.00023703139` 2021-02-04 23:15:54.443: INFO @log_profile : T train: 12.572683 2021-02-04 23:15:54.443: INFO @log_profile : T valid: 1.418834 2021-02-04 23:15:54.443: INFO @log_profile : T read data: 0.472916 2021-02-04 23:15:54.443: INFO @log_profile : T hooks: 3.320548 2021-02-04 23:15:54.443: INFO @main_loop : Epoch 47 done 2021-02-04 23:15:54.443: INFO @main_loop : Training epoch 48 2021-02-04 23:16:09.820: INFO @log_variables: train loss nanmean: 1.758143 2021-02-04 23:16:09.820: INFO @log_variables: train age_loss mean: 13.336704 2021-02-04 23:16:09.820: INFO @log_variables: train gender_loss mean: 0.463611 2021-02-04 23:16:09.821: INFO @log_variables: train age_mae mean: 12.631203 2021-02-04 23:16:09.821: INFO @log_variables: train gender_accuracy mean: 0.775680 2021-02-04 23:16:09.821: INFO @log_variables: train gender_confidence/loss nanmean: 0.076506 2021-02-04 23:16:09.821: INFO @log_variables: train gender_confidence/accuracy mean: 0.704933 2021-02-04 23:16:09.821: INFO @log_variables: train age_confidence/loss mean: 0.047744 2021-02-04 23:16:09.821: INFO @log_variables: train age_confidence/accuracy mean: 0.745081 2021-02-04 23:16:09.821: INFO @log_variables: valid loss nanmean: 1.516811 2021-02-04 23:16:09.821: INFO @log_variables: valid age_loss mean: 11.292857 2021-02-04 23:16:09.821: INFO @log_variables: valid gender_loss mean: 0.397527 2021-02-04 23:16:09.821: INFO @log_variables: valid age_mae mean: 10.611935 2021-02-04 23:16:09.821: INFO @log_variables: valid gender_accuracy mean: 0.822127 2021-02-04 23:16:09.821: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074509 2021-02-04 23:16:09.821: INFO @log_variables: valid gender_confidence/accuracy mean: 0.786754 2021-02-04 23:16:09.821: INFO @log_variables: valid age_confidence/loss mean: 0.054292 2021-02-04 23:16:09.821: INFO @log_variables: valid age_confidence/accuracy mean: 0.694681 2021-02-04 23:16:09.821: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:16:09.823: INFO @metrics_hook: train age_mae: 12.631 +-0.182 (13824) 2021-02-04 23:16:09.825: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13824) 2021-02-04 23:16:11.309: INFO @metrics_hook: valid age_mae: 10.612 +-0.284 (3986) 2021-02-04 23:16:11.309: INFO @metrics_hook: valid gender_accuracy: 0.822 +-0.012 (3986) 2021-02-04 23:16:12.567: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:16:12.567: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.66 +- 0.18 2021-02-04 23:16:12.567: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:16:12.568: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.18 2021-02-04 23:16:12.656: INFO @evaluate_confidence: Previous accuracy would be: 77.57 2021-02-04 23:16:12.656: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66] 2021-02-04 23:16:12.659: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [85.17, 85.7, 86.22, 86.67, 87.08, 87.68, 88.37, 88.74, 89.07, 89.64, 89.92, 90.41, 90.77] 2021-02-04 23:16:12.659: INFO @evaluate_confidence: Dropped ratios are: [36.21, 38.53, 40.77, 42.95, 44.9, 46.88, 48.91, 50.75, 52.66, 54.62, 56.37, 58.08, 59.55] 2021-02-04 23:16:12.665: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:16:12.665: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.20 2021-02-04 23:16:12.665: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:16:12.665: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.14 2021-02-04 23:16:12.756: INFO @evaluate_confidence: Previous accuracy would be: 28.41 2021-02-04 23:16:12.757: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:16:12.760: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [36.59, 37.56, 39.11, 40.43, 42.27, 43.69, 45.21, 46.81, 48.09, 49.55] 2021-02-04 23:16:12.760: INFO @evaluate_confidence: Dropped ratios are: [56.19, 60.05, 63.99, 67.33, 70.39, 73.18, 75.22, 77.19, 79.01, 80.73] 2021-02-04 23:16:12.762: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:16:12.762: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.17 2021-02-04 23:16:12.762: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.13 2021-02-04 23:16:12.763: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.18 2021-02-04 23:16:12.837: INFO @evaluate_confidence: Previous accuracy would be: 82.21 2021-02-04 23:16:12.837: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:16:12.838: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.95, 90.58, 90.88, 91.11, 91.35, 91.58, 91.72, 92.14, 92.51, 92.83, 92.89, 93.05, 93.47, 93.53, 93.92, 94.25, 94.8] 2021-02-04 23:16:12.838: INFO @evaluate_confidence: Dropped ratios are: [30.33, 32.11, 33.99, 35.65, 37.36, 39.21, 40.92, 42.55, 44.38, 45.74, 47.09, 48.39, 50.03, 51.56, 52.94, 54.16, 55.62] 2021-02-04 23:16:12.840: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:16:12.840: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.17 2021-02-04 23:16:12.840: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.09 2021-02-04 23:16:12.840: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.12 2021-02-04 23:16:12.941: INFO @evaluate_confidence: Previous accuracy would be: 32.46 2021-02-04 23:16:12.941: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:16:12.942: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.32, 41.23, 42.67, 44.17, 46.09, 47.3, 47.83] 2021-02-04 23:16:12.942: INFO @evaluate_confidence: Dropped ratios are: [55.69, 61.79, 66.61, 70.75, 74.31, 77.2, 79.75] 2021-02-04 23:16:12.952: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:16:13.269: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:13.324: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:16:13.553: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:13.692: INFO @decay_lr : LR updated to `0.00023584624` 2021-02-04 23:16:13.892: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:16:13.894: INFO @log_profile : T train: 12.801283 2021-02-04 23:16:13.894: INFO @log_profile : T valid: 1.550122 2021-02-04 23:16:13.894: INFO @log_profile : T read data: 0.398664 2021-02-04 23:16:13.894: INFO @log_profile : T hooks: 4.652821 2021-02-04 23:16:13.894: INFO @main_loop : Epoch 48 done 2021-02-04 23:16:13.894: INFO @main_loop : Training epoch 49 2021-02-04 23:16:29.482: INFO @log_variables: train loss nanmean: 1.749801 2021-02-04 23:16:29.482: INFO @log_variables: train age_loss mean: 13.204154 2021-02-04 23:16:29.482: INFO @log_variables: train gender_loss mean: 0.466473 2021-02-04 23:16:29.482: INFO @log_variables: train age_mae mean: 12.501499 2021-02-04 23:16:29.482: INFO @log_variables: train gender_accuracy mean: 0.777995 2021-02-04 23:16:29.482: INFO @log_variables: train gender_confidence/loss nanmean: 0.076914 2021-02-04 23:16:29.482: INFO @log_variables: train gender_confidence/accuracy mean: 0.709274 2021-02-04 23:16:29.482: INFO @log_variables: train age_confidence/loss mean: 0.048442 2021-02-04 23:16:29.483: INFO @log_variables: train age_confidence/accuracy mean: 0.741319 2021-02-04 23:16:29.483: INFO @log_variables: valid loss nanmean: 1.571335 2021-02-04 23:16:29.483: INFO @log_variables: valid age_loss mean: 11.742685 2021-02-04 23:16:29.483: INFO @log_variables: valid gender_loss mean: 0.410286 2021-02-04 23:16:29.483: INFO @log_variables: valid age_mae mean: 11.049603 2021-02-04 23:16:29.483: INFO @log_variables: valid gender_accuracy mean: 0.811591 2021-02-04 23:16:29.483: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076066 2021-02-04 23:16:29.483: INFO @log_variables: valid gender_confidence/accuracy mean: 0.759157 2021-02-04 23:16:29.483: INFO @log_variables: valid age_confidence/loss mean: 0.054766 2021-02-04 23:16:29.483: INFO @log_variables: valid age_confidence/accuracy mean: 0.696939 2021-02-04 23:16:29.483: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:16:29.485: INFO @metrics_hook: train age_mae: 12.501 +-0.182 (13824) 2021-02-04 23:16:29.486: INFO @metrics_hook: train gender_accuracy: 0.778 +-0.007 (13824) 2021-02-04 23:16:30.927: INFO @metrics_hook: valid age_mae: 11.050 +-0.300 (3986) 2021-02-04 23:16:30.927: INFO @metrics_hook: valid gender_accuracy: 0.812 +-0.012 (3986) 2021-02-04 23:16:32.292: INFO @decay_lr : LR updated to `0.00023466701` 2021-02-04 23:16:32.293: INFO @log_profile : T train: 12.942437 2021-02-04 23:16:32.293: INFO @log_profile : T valid: 1.605947 2021-02-04 23:16:32.293: INFO @log_profile : T read data: 0.396550 2021-02-04 23:16:32.293: INFO @log_profile : T hooks: 3.405459 2021-02-04 23:16:32.293: INFO @main_loop : Epoch 49 done 2021-02-04 23:16:32.293: INFO @main_loop : Training epoch 50 2021-02-04 23:16:47.463: INFO @log_variables: train loss nanmean: 1.761071 2021-02-04 23:16:47.463: INFO @log_variables: train age_loss mean: 13.345623 2021-02-04 23:16:47.463: INFO @log_variables: train gender_loss mean: 0.464851 2021-02-04 23:16:47.463: INFO @log_variables: train age_mae mean: 12.642570 2021-02-04 23:16:47.463: INFO @log_variables: train gender_accuracy mean: 0.779878 2021-02-04 23:16:47.463: INFO @log_variables: train gender_confidence/loss nanmean: 0.077255 2021-02-04 23:16:47.463: INFO @log_variables: train gender_confidence/accuracy mean: 0.704331 2021-02-04 23:16:47.463: INFO @log_variables: train age_confidence/loss mean: 0.047985 2021-02-04 23:16:47.463: INFO @log_variables: train age_confidence/accuracy mean: 0.737940 2021-02-04 23:16:47.463: INFO @log_variables: valid loss nanmean: 1.538993 2021-02-04 23:16:47.463: INFO @log_variables: valid age_loss mean: 11.545380 2021-02-04 23:16:47.463: INFO @log_variables: valid gender_loss mean: 0.392916 2021-02-04 23:16:47.463: INFO @log_variables: valid age_mae mean: 10.863426 2021-02-04 23:16:47.463: INFO @log_variables: valid gender_accuracy mean: 0.827145 2021-02-04 23:16:47.463: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076475 2021-02-04 23:16:47.463: INFO @log_variables: valid gender_confidence/accuracy mean: 0.763924 2021-02-04 23:16:47.463: INFO @log_variables: valid age_confidence/loss mean: 0.055742 2021-02-04 23:16:47.464: INFO @log_variables: valid age_confidence/accuracy mean: 0.677873 2021-02-04 23:16:47.464: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:16:47.464: INFO @metrics_hook: train age_mae: 12.643 +-0.182 (13806) 2021-02-04 23:16:47.465: INFO @metrics_hook: train gender_accuracy: 0.780 +-0.007 (13806) 2021-02-04 23:16:48.888: INFO @metrics_hook: valid age_mae: 10.863 +-0.305 (3986) 2021-02-04 23:16:48.888: INFO @metrics_hook: valid gender_accuracy: 0.827 +-0.012 (3986) 2021-02-04 23:16:50.136: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:16:50.136: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.66 +- 0.18 2021-02-04 23:16:50.136: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:16:50.136: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.18 2021-02-04 23:16:50.220: INFO @evaluate_confidence: Previous accuracy would be: 77.99 2021-02-04 23:16:50.220: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66] 2021-02-04 23:16:50.223: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [85.03, 85.53, 86.1, 86.55, 87.01, 87.54, 87.89, 88.22, 88.69, 89.16, 89.49, 90.03, 90.39] 2021-02-04 23:16:50.223: INFO @evaluate_confidence: Dropped ratios are: [36.3, 38.35, 40.4, 42.53, 44.63, 46.81, 48.73, 50.51, 52.34, 54.37, 56.23, 58.0, 59.67] 2021-02-04 23:16:50.229: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:16:50.229: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.20 2021-02-04 23:16:50.229: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:16:50.229: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.14 2021-02-04 23:16:50.314: INFO @evaluate_confidence: Previous accuracy would be: 28.58 2021-02-04 23:16:50.315: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:16:50.317: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [36.56, 37.77, 38.67, 40.11, 41.55, 42.65, 44.48, 46.01, 47.44, 48.96] 2021-02-04 23:16:50.317: INFO @evaluate_confidence: Dropped ratios are: [54.43, 58.37, 62.2, 65.7, 68.93, 71.61, 74.13, 76.23, 78.38, 80.12] 2021-02-04 23:16:50.319: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:16:50.319: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.18 2021-02-04 23:16:50.319: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.14 2021-02-04 23:16:50.319: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.18 2021-02-04 23:16:50.388: INFO @evaluate_confidence: Previous accuracy would be: 82.71 2021-02-04 23:16:50.389: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:16:50.390: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.62, 90.22, 90.56, 91.09, 91.48, 91.6, 92.06, 92.54, 92.74, 92.76, 93.0, 93.73, 93.98, 94.25, 94.48] 2021-02-04 23:16:50.390: INFO @evaluate_confidence: Dropped ratios are: [32.54, 34.09, 35.95, 38.08, 39.96, 41.45, 42.82, 44.53, 46.09, 47.64, 49.12, 50.75, 52.06, 53.31, 54.57] 2021-02-04 23:16:50.392: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:16:50.392: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.17 2021-02-04 23:16:50.392: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:16:50.392: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.13 2021-02-04 23:16:50.479: INFO @evaluate_confidence: Previous accuracy would be: 33.29 2021-02-04 23:16:50.479: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:16:50.480: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.06, 40.38, 42.09, 43.03, 44.41, 44.71] 2021-02-04 23:16:50.480: INFO @evaluate_confidence: Dropped ratios are: [58.73, 62.97, 66.68, 69.57, 72.15, 74.64] 2021-02-04 23:16:50.489: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:16:50.806: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:50.858: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:16:51.084: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:51.135: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:16:51.448: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:51.499: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:16:51.500: INFO @evaluate_gender-age_model: groups 0 13.385550 1 13.762737 2 11.947895 3 9.508425 4 10.141757 5 12.260353 6 14.823578 7 15.280451 Name: errors, dtype: float64 2021-02-04 23:16:51.501: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:16:51.726: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:16:51.775: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:16:51.775: INFO @evaluate_gender-age_model: groups 0 9.639530 1 10.118398 2 9.667381 3 9.174648 4 10.379123 5 11.700149 6 14.164503 7 13.979036 Name: errors, dtype: float64 2021-02-04 23:16:51.864: INFO @decay_lr : LR updated to `0.00023349367` 2021-02-04 23:16:52.056: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:16:52.058: INFO @log_profile : T train: 12.231253 2021-02-04 23:16:52.058: INFO @log_profile : T valid: 1.317098 2021-02-04 23:16:52.058: INFO @log_profile : T read data: 0.502454 2021-02-04 23:16:52.058: INFO @log_profile : T hooks: 5.669085 2021-02-04 23:16:52.058: INFO @main_loop : Epoch 50 done 2021-02-04 23:16:52.058: INFO @main_loop : Training epoch 51 2021-02-04 23:17:07.705: INFO @log_variables: train loss nanmean: 1.730215 2021-02-04 23:17:07.705: INFO @log_variables: train age_loss mean: 13.090120 2021-02-04 23:17:07.707: INFO @log_variables: train gender_loss mean: 0.456266 2021-02-04 23:17:07.707: INFO @log_variables: train age_mae mean: 12.394033 2021-02-04 23:17:07.707: INFO @log_variables: train gender_accuracy mean: 0.783766 2021-02-04 23:17:07.707: INFO @log_variables: train gender_confidence/loss nanmean: 0.076596 2021-02-04 23:17:07.707: INFO @log_variables: train gender_confidence/accuracy mean: 0.708602 2021-02-04 23:17:07.707: INFO @log_variables: train age_confidence/loss mean: 0.048821 2021-02-04 23:17:07.707: INFO @log_variables: train age_confidence/accuracy mean: 0.736743 2021-02-04 23:17:07.707: INFO @log_variables: valid loss nanmean: 1.553271 2021-02-04 23:17:07.707: INFO @log_variables: valid age_loss mean: 11.352474 2021-02-04 23:17:07.707: INFO @log_variables: valid gender_loss mean: 0.430938 2021-02-04 23:17:07.707: INFO @log_variables: valid age_mae mean: 10.677016 2021-02-04 23:17:07.707: INFO @log_variables: valid gender_accuracy mean: 0.801305 2021-02-04 23:17:07.707: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074972 2021-02-04 23:17:07.707: INFO @log_variables: valid gender_confidence/accuracy mean: 0.786503 2021-02-04 23:17:07.708: INFO @log_variables: valid age_confidence/loss mean: 0.054494 2021-02-04 23:17:07.708: INFO @log_variables: valid age_confidence/accuracy mean: 0.685650 2021-02-04 23:17:07.708: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:17:07.709: INFO @metrics_hook: train age_mae: 12.394 +-0.180 (13823) 2021-02-04 23:17:07.711: INFO @metrics_hook: train gender_accuracy: 0.784 +-0.007 (13823) 2021-02-04 23:17:09.198: INFO @metrics_hook: valid age_mae: 10.677 +-0.293 (3986) 2021-02-04 23:17:09.198: INFO @metrics_hook: valid gender_accuracy: 0.801 +-0.013 (3986) 2021-02-04 23:17:10.699: INFO @decay_lr : LR updated to `0.0002323262` 2021-02-04 23:17:10.701: INFO @log_profile : T train: 12.937693 2021-02-04 23:17:10.701: INFO @log_profile : T valid: 1.651769 2021-02-04 23:17:10.701: INFO @log_profile : T read data: 0.396806 2021-02-04 23:17:10.701: INFO @log_profile : T hooks: 3.607270 2021-02-04 23:17:10.701: INFO @main_loop : Epoch 51 done 2021-02-04 23:17:10.701: INFO @main_loop : Training epoch 52 2021-02-04 23:17:26.167: INFO @log_variables: train loss nanmean: 1.721927 2021-02-04 23:17:26.167: INFO @log_variables: train age_loss mean: 12.981889 2021-02-04 23:17:26.169: INFO @log_variables: train gender_loss mean: 0.457814 2021-02-04 23:17:26.169: INFO @log_variables: train age_mae mean: 12.284883 2021-02-04 23:17:26.169: INFO @log_variables: train gender_accuracy mean: 0.781126 2021-02-04 23:17:26.169: INFO @log_variables: train gender_confidence/loss nanmean: 0.076511 2021-02-04 23:17:26.169: INFO @log_variables: train gender_confidence/accuracy mean: 0.714493 2021-02-04 23:17:26.169: INFO @log_variables: train age_confidence/loss mean: 0.049050 2021-02-04 23:17:26.169: INFO @log_variables: train age_confidence/accuracy mean: 0.732455 2021-02-04 23:17:26.170: INFO @log_variables: valid loss nanmean: 1.519474 2021-02-04 23:17:26.170: INFO @log_variables: valid age_loss mean: 11.322569 2021-02-04 23:17:26.170: INFO @log_variables: valid gender_loss mean: 0.396491 2021-02-04 23:17:26.170: INFO @log_variables: valid age_mae mean: 10.645926 2021-02-04 23:17:26.170: INFO @log_variables: valid gender_accuracy mean: 0.821626 2021-02-04 23:17:26.170: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075645 2021-02-04 23:17:26.170: INFO @log_variables: valid gender_confidence/accuracy mean: 0.782740 2021-02-04 23:17:26.170: INFO @log_variables: valid age_confidence/loss mean: 0.054058 2021-02-04 23:17:26.170: INFO @log_variables: valid age_confidence/accuracy mean: 0.686152 2021-02-04 23:17:26.170: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:17:26.172: INFO @metrics_hook: train age_mae: 12.285 +-0.178 (13807) 2021-02-04 23:17:26.173: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13807) 2021-02-04 23:17:27.633: INFO @metrics_hook: valid age_mae: 10.646 +-0.290 (3986) 2021-02-04 23:17:27.634: INFO @metrics_hook: valid gender_accuracy: 0.822 +-0.012 (3986) 2021-02-04 23:17:28.915: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:17:28.915: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.66 +- 0.17 2021-02-04 23:17:28.915: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:17:28.915: INFO @evaluate_confidence: Average confidence of all samples 0.63 +- 0.17 2021-02-04 23:17:29.000: INFO @evaluate_confidence: Previous accuracy would be: 78.11 2021-02-04 23:17:29.000: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66] 2021-02-04 23:17:29.003: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [85.69, 86.11, 86.69, 87.25, 87.63, 88.15, 88.6, 88.87, 89.31, 89.75, 90.2, 90.5, 90.96] 2021-02-04 23:17:29.003: INFO @evaluate_confidence: Dropped ratios are: [35.82, 38.02, 40.38, 42.58, 44.57, 46.46, 48.4, 50.24, 52.15, 54.01, 55.89, 57.75, 59.4] 2021-02-04 23:17:29.009: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:17:29.009: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.20 2021-02-04 23:17:29.009: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.10 2021-02-04 23:17:29.009: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.14 2021-02-04 23:17:29.095: INFO @evaluate_confidence: Previous accuracy would be: 29.68 2021-02-04 23:17:29.095: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:17:29.097: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [37.9, 39.2, 40.27, 41.53, 42.84, 44.41, 46.09, 47.94, 49.45, 51.23] 2021-02-04 23:17:29.097: INFO @evaluate_confidence: Dropped ratios are: [55.36, 59.61, 63.79, 67.6, 70.55, 73.11, 75.71, 77.71, 79.47, 81.2] 2021-02-04 23:17:29.099: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:17:29.099: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.18 2021-02-04 23:17:29.099: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:17:29.099: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.18 2021-02-04 23:17:29.170: INFO @evaluate_confidence: Previous accuracy would be: 82.16 2021-02-04 23:17:29.170: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:17:29.171: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.01, 89.59, 89.9, 90.02, 90.38, 90.62, 91.19, 91.72, 91.91, 92.48, 92.77, 93.03, 93.54, 93.93, 94.05, 94.33, 94.78] 2021-02-04 23:17:29.172: INFO @evaluate_confidence: Dropped ratios are: [28.75, 30.83, 32.69, 34.37, 36.1, 37.93, 39.91, 41.8, 43.28, 44.98, 46.56, 48.19, 49.92, 51.63, 53.24, 54.84, 56.25] 2021-02-04 23:17:29.173: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:17:29.173: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.40 +- 0.16 2021-02-04 23:17:29.173: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.09 2021-02-04 23:17:29.173: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.12 2021-02-04 23:17:29.266: INFO @evaluate_confidence: Previous accuracy would be: 32.94 2021-02-04 23:17:29.266: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4] 2021-02-04 23:17:29.267: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [42.06, 43.64, 44.25, 46.02, 47.13, 49.3, 49.82] 2021-02-04 23:17:29.267: INFO @evaluate_confidence: Dropped ratios are: [56.4, 61.54, 65.76, 70.35, 73.76, 76.59, 79.35] 2021-02-04 23:17:29.277: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:17:29.611: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:17:29.664: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:17:29.893: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:17:30.054: INFO @decay_lr : LR updated to `0.00023116457` 2021-02-04 23:17:30.055: INFO @log_profile : T train: 12.733980 2021-02-04 23:17:30.055: INFO @log_profile : T valid: 1.593051 2021-02-04 23:17:30.055: INFO @log_profile : T read data: 0.497726 2021-02-04 23:17:30.055: INFO @log_profile : T hooks: 4.481243 2021-02-04 23:17:30.055: INFO @main_loop : Epoch 52 done 2021-02-04 23:17:30.055: INFO @main_loop : Training epoch 53 2021-02-04 23:17:45.523: INFO @log_variables: train loss nanmean: 1.742222 2021-02-04 23:17:45.523: INFO @log_variables: train age_loss mean: 13.181959 2021-02-04 23:17:45.523: INFO @log_variables: train gender_loss mean: 0.463141 2021-02-04 23:17:45.523: INFO @log_variables: train age_mae mean: 12.484093 2021-02-04 23:17:45.523: INFO @log_variables: train gender_accuracy mean: 0.771412 2021-02-04 23:17:45.524: INFO @log_variables: train gender_confidence/loss nanmean: 0.075211 2021-02-04 23:17:45.524: INFO @log_variables: train gender_confidence/accuracy mean: 0.705223 2021-02-04 23:17:45.524: INFO @log_variables: train age_confidence/loss mean: 0.047614 2021-02-04 23:17:45.524: INFO @log_variables: train age_confidence/accuracy mean: 0.748119 2021-02-04 23:17:45.524: INFO @log_variables: valid loss nanmean: 1.508605 2021-02-04 23:17:45.524: INFO @log_variables: valid age_loss mean: 11.306734 2021-02-04 23:17:45.524: INFO @log_variables: valid gender_loss mean: 0.380228 2021-02-04 23:17:45.524: INFO @log_variables: valid age_mae mean: 10.625315 2021-02-04 23:17:45.524: INFO @log_variables: valid gender_accuracy mean: 0.832915 2021-02-04 23:17:45.524: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077056 2021-02-04 23:17:45.524: INFO @log_variables: valid gender_confidence/accuracy mean: 0.788510 2021-02-04 23:17:45.524: INFO @log_variables: valid age_confidence/loss mean: 0.058003 2021-02-04 23:17:45.524: INFO @log_variables: valid age_confidence/accuracy mean: 0.674862 2021-02-04 23:17:45.524: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:17:45.526: INFO @metrics_hook: train age_mae: 12.484 +-0.180 (13824) 2021-02-04 23:17:45.528: INFO @metrics_hook: train gender_accuracy: 0.771 +-0.007 (13824) 2021-02-04 23:17:46.981: INFO @metrics_hook: valid age_mae: 10.625 +-0.297 (3986) 2021-02-04 23:17:46.981: INFO @metrics_hook: valid gender_accuracy: 0.833 +-0.012 (3986) 2021-02-04 23:17:48.348: INFO @decay_lr : LR updated to `0.00023000874` 2021-02-04 23:17:48.557: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:17:48.558: INFO @log_profile : T train: 12.800594 2021-02-04 23:17:48.559: INFO @log_profile : T valid: 1.617349 2021-02-04 23:17:48.559: INFO @log_profile : T read data: 0.399396 2021-02-04 23:17:48.559: INFO @log_profile : T hooks: 3.637335 2021-02-04 23:17:48.559: INFO @main_loop : Epoch 53 done 2021-02-04 23:17:48.559: INFO @main_loop : Training epoch 54 2021-02-04 23:18:03.349: INFO @log_variables: train loss nanmean: 1.726987 2021-02-04 23:18:03.349: INFO @log_variables: train age_loss mean: 13.102843 2021-02-04 23:18:03.349: INFO @log_variables: train gender_loss mean: 0.452846 2021-02-04 23:18:03.349: INFO @log_variables: train age_mae mean: 12.411071 2021-02-04 23:18:03.349: INFO @log_variables: train gender_accuracy mean: 0.781901 2021-02-04 23:18:03.349: INFO @log_variables: train gender_confidence/loss nanmean: 0.075568 2021-02-04 23:18:03.349: INFO @log_variables: train gender_confidence/accuracy mean: 0.715712 2021-02-04 23:18:03.349: INFO @log_variables: train age_confidence/loss mean: 0.048573 2021-02-04 23:18:03.349: INFO @log_variables: train age_confidence/accuracy mean: 0.735026 2021-02-04 23:18:03.349: INFO @log_variables: valid loss nanmean: 1.614296 2021-02-04 23:18:03.349: INFO @log_variables: valid age_loss mean: 12.137919 2021-02-04 23:18:03.349: INFO @log_variables: valid gender_loss mean: 0.418146 2021-02-04 23:18:03.349: INFO @log_variables: valid age_mae mean: 11.449691 2021-02-04 23:18:03.349: INFO @log_variables: valid gender_accuracy mean: 0.806322 2021-02-04 23:18:03.349: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074699 2021-02-04 23:18:03.349: INFO @log_variables: valid gender_confidence/accuracy mean: 0.735073 2021-02-04 23:18:03.349: INFO @log_variables: valid age_confidence/loss mean: 0.056017 2021-02-04 23:18:03.349: INFO @log_variables: valid age_confidence/accuracy mean: 0.679880 2021-02-04 23:18:03.349: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:18:03.351: INFO @metrics_hook: train age_mae: 12.411 +-0.180 (13824) 2021-02-04 23:18:03.352: INFO @metrics_hook: train gender_accuracy: 0.782 +-0.007 (13824) 2021-02-04 23:18:04.830: INFO @metrics_hook: valid age_mae: 11.450 +-0.322 (3986) 2021-02-04 23:18:04.830: INFO @metrics_hook: valid gender_accuracy: 0.806 +-0.013 (3986) 2021-02-04 23:18:06.092: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:18:06.092: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.18 2021-02-04 23:18:06.092: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:18:06.092: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.18 2021-02-04 23:18:06.176: INFO @evaluate_confidence: Previous accuracy would be: 78.19 2021-02-04 23:18:06.176: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:18:06.179: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [85.51, 86.03, 86.58, 86.98, 87.45, 87.72, 88.34, 88.6, 89.17, 89.4, 89.95, 90.43, 90.98, 91.31, 91.63] 2021-02-04 23:18:06.179: INFO @evaluate_confidence: Dropped ratios are: [33.41, 35.44, 37.56, 39.49, 41.45, 43.27, 45.22, 46.85, 48.71, 50.44, 52.18, 53.75, 55.55, 57.2, 58.71] 2021-02-04 23:18:06.185: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:18:06.185: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.44 +- 0.20 2021-02-04 23:18:06.185: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.10 2021-02-04 23:18:06.185: INFO @evaluate_confidence: Average confidence of all samples 0.36 +- 0.15 2021-02-04 23:18:06.271: INFO @evaluate_confidence: Previous accuracy would be: 29.62 2021-02-04 23:18:06.272: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:18:06.274: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [37.93, 39.21, 40.82, 42.63, 43.9, 45.0, 46.76, 48.09, 49.15, 50.82, 52.08] 2021-02-04 23:18:06.274: INFO @evaluate_confidence: Dropped ratios are: [52.72, 57.05, 61.01, 64.57, 67.62, 70.13, 72.77, 75.03, 76.9, 78.86, 80.37] 2021-02-04 23:18:06.276: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:18:06.276: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.19 2021-02-04 23:18:06.276: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.14 2021-02-04 23:18:06.276: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.19 2021-02-04 23:18:06.345: INFO @evaluate_confidence: Previous accuracy would be: 80.63 2021-02-04 23:18:06.346: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:18:06.347: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.99, 88.64, 89.14, 89.43, 89.8, 90.26, 90.36, 90.77, 91.24, 91.71, 91.99, 92.19, 92.58, 92.94, 93.38, 93.61] 2021-02-04 23:18:06.347: INFO @evaluate_confidence: Dropped ratios are: [32.14, 33.97, 36.0, 37.81, 39.26, 40.74, 42.25, 43.98, 45.61, 47.37, 48.65, 50.23, 51.63, 53.09, 54.11, 55.27] 2021-02-04 23:18:06.349: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:18:06.349: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.39 +- 0.18 2021-02-04 23:18:06.349: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.33 +- 0.12 2021-02-04 23:18:06.349: INFO @evaluate_confidence: Average confidence of all samples 0.35 +- 0.15 2021-02-04 23:18:06.450: INFO @evaluate_confidence: Previous accuracy would be: 32.71 2021-02-04 23:18:06.450: INFO @evaluate_confidence: Possible optimal thresholds are: [0.33, 0.34, 0.35, 0.36, 0.37, 0.38] 2021-02-04 23:18:06.451: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [39.72, 40.87, 41.45, 42.31, 42.46, 43.31] 2021-02-04 23:18:06.451: INFO @evaluate_confidence: Dropped ratios are: [61.21, 64.7, 67.86, 70.3, 73.06, 75.26] 2021-02-04 23:18:06.461: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:18:06.806: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:18:06.860: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:18:07.086: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:18:07.231: INFO @decay_lr : LR updated to `0.0002288587` 2021-02-04 23:18:07.232: INFO @log_profile : T train: 12.329142 2021-02-04 23:18:07.232: INFO @log_profile : T valid: 1.432195 2021-02-04 23:18:07.232: INFO @log_profile : T read data: 0.406332 2021-02-04 23:18:07.232: INFO @log_profile : T hooks: 4.459030 2021-02-04 23:18:07.232: INFO @main_loop : Epoch 54 done 2021-02-04 23:18:07.232: INFO @main_loop : Training epoch 55 2021-02-04 23:18:22.827: INFO @log_variables: train loss nanmean: 1.713008 2021-02-04 23:18:22.827: INFO @log_variables: train age_loss mean: 13.035788 2021-02-04 23:18:22.829: INFO @log_variables: train gender_loss mean: 0.443526 2021-02-04 23:18:22.829: INFO @log_variables: train age_mae mean: 12.340389 2021-02-04 23:18:22.829: INFO @log_variables: train gender_accuracy mean: 0.789020 2021-02-04 23:18:22.829: INFO @log_variables: train gender_confidence/loss nanmean: 0.075926 2021-02-04 23:18:22.829: INFO @log_variables: train gender_confidence/accuracy mean: 0.708626 2021-02-04 23:18:22.829: INFO @log_variables: train age_confidence/loss mean: 0.048805 2021-02-04 23:18:22.829: INFO @log_variables: train age_confidence/accuracy mean: 0.737090 2021-02-04 23:18:22.830: INFO @log_variables: valid loss nanmean: 1.469950 2021-02-04 23:18:22.830: INFO @log_variables: valid age_loss mean: 10.957705 2021-02-04 23:18:22.830: INFO @log_variables: valid gender_loss mean: 0.376908 2021-02-04 23:18:22.830: INFO @log_variables: valid age_mae mean: 10.297067 2021-02-04 23:18:22.830: INFO @log_variables: valid gender_accuracy mean: 0.831410 2021-02-04 23:18:22.830: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075040 2021-02-04 23:18:22.830: INFO @log_variables: valid gender_confidence/accuracy mean: 0.785248 2021-02-04 23:18:22.830: INFO @log_variables: valid age_confidence/loss mean: 0.056112 2021-02-04 23:18:22.830: INFO @log_variables: valid age_confidence/accuracy mean: 0.673608 2021-02-04 23:18:22.830: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:18:22.832: INFO @metrics_hook: train age_mae: 12.340 +-0.180 (13807) 2021-02-04 23:18:22.833: INFO @metrics_hook: train gender_accuracy: 0.789 +-0.007 (13807) 2021-02-04 23:18:27.007: INFO @metrics_hook: valid age_mae: 10.297 +-0.285 (3986) 2021-02-04 23:18:27.007: INFO @metrics_hook: valid gender_accuracy: 0.831 +-0.012 (3986) 2021-02-04 23:18:28.459: INFO @decay_lr : LR updated to `0.00022771441` 2021-02-04 23:18:28.460: INFO @log_profile : T train: 12.919968 2021-02-04 23:18:28.460: INFO @log_profile : T valid: 1.548475 2021-02-04 23:18:28.460: INFO @log_profile : T read data: 0.483830 2021-02-04 23:18:28.460: INFO @log_profile : T hooks: 6.227069 2021-02-04 23:18:28.460: INFO @main_loop : Epoch 55 done 2021-02-04 23:18:28.460: INFO @main_loop : Training epoch 56 2021-02-04 23:18:44.020: INFO @log_variables: train loss nanmean: 1.693907 2021-02-04 23:18:44.020: INFO @log_variables: train age_loss mean: 12.836365 2021-02-04 23:18:44.021: INFO @log_variables: train gender_loss mean: 0.442813 2021-02-04 23:18:44.021: INFO @log_variables: train age_mae mean: 12.146061 2021-02-04 23:18:44.021: INFO @log_variables: train gender_accuracy mean: 0.790075 2021-02-04 23:18:44.021: INFO @log_variables: train gender_confidence/loss nanmean: 0.075509 2021-02-04 23:18:44.021: INFO @log_variables: train gender_confidence/accuracy mean: 0.711661 2021-02-04 23:18:44.021: INFO @log_variables: train age_confidence/loss mean: 0.048899 2021-02-04 23:18:44.021: INFO @log_variables: train age_confidence/accuracy mean: 0.735171 2021-02-04 23:18:44.021: INFO @log_variables: valid loss nanmean: 1.500778 2021-02-04 23:18:44.021: INFO @log_variables: valid age_loss mean: 11.302353 2021-02-04 23:18:44.021: INFO @log_variables: valid gender_loss mean: 0.379283 2021-02-04 23:18:44.021: INFO @log_variables: valid age_mae mean: 10.629165 2021-02-04 23:18:44.021: INFO @log_variables: valid gender_accuracy mean: 0.828399 2021-02-04 23:18:44.021: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074656 2021-02-04 23:18:44.021: INFO @log_variables: valid gender_confidence/accuracy mean: 0.790768 2021-02-04 23:18:44.021: INFO @log_variables: valid age_confidence/loss mean: 0.053833 2021-02-04 23:18:44.021: INFO @log_variables: valid age_confidence/accuracy mean: 0.697441 2021-02-04 23:18:44.022: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:18:44.024: INFO @metrics_hook: train age_mae: 12.146 +-0.178 (13824) 2021-02-04 23:18:44.025: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-02-04 23:18:45.502: INFO @metrics_hook: valid age_mae: 10.629 +-0.289 (3986) 2021-02-04 23:18:45.503: INFO @metrics_hook: valid gender_accuracy: 0.828 +-0.012 (3986) 2021-02-04 23:18:46.755: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:18:46.755: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.19 2021-02-04 23:18:46.755: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:18:46.755: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.19 2021-02-04 23:18:46.842: INFO @evaluate_confidence: Previous accuracy would be: 79.01 2021-02-04 23:18:46.842: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:18:46.845: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.53, 87.06, 87.53, 87.85, 88.14, 88.65, 88.93, 89.46, 89.96, 90.43, 90.86, 91.23, 91.55, 91.74, 92.25] 2021-02-04 23:18:46.845: INFO @evaluate_confidence: Dropped ratios are: [34.68, 36.65, 38.62, 40.29, 42.04, 43.79, 45.37, 47.3, 49.12, 50.8, 52.52, 54.04, 55.55, 57.0, 58.46] 2021-02-04 23:18:46.851: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:18:46.851: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.20 2021-02-04 23:18:46.851: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.34 +- 0.10 2021-02-04 23:18:46.852: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.14 2021-02-04 23:18:46.938: INFO @evaluate_confidence: Previous accuracy would be: 29.70 2021-02-04 23:18:46.938: INFO @evaluate_confidence: Possible optimal thresholds are: [0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:18:46.940: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [37.83, 39.25, 41.15, 42.64, 44.27, 46.16, 48.0, 49.49, 51.76, 53.55] 2021-02-04 23:18:46.940: INFO @evaluate_confidence: Dropped ratios are: [55.74, 60.11, 64.11, 67.89, 71.04, 74.02, 76.48, 78.53, 80.43, 81.98] 2021-02-04 23:18:46.942: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:18:46.942: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.18 2021-02-04 23:18:46.942: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:18:46.942: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.18 2021-02-04 23:18:47.015: INFO @evaluate_confidence: Previous accuracy would be: 82.84 2021-02-04 23:18:47.015: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:18:47.016: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.88, 90.12, 90.5, 91.27, 91.39, 91.82, 92.25, 92.6, 92.79, 92.96, 93.4, 93.51, 93.83, 93.94, 94.06, 94.55, 94.74, 95.12] 2021-02-04 23:18:47.016: INFO @evaluate_confidence: Dropped ratios are: [28.37, 30.16, 32.11, 33.89, 35.32, 36.83, 38.21, 39.69, 41.19, 42.6, 44.1, 45.91, 47.11, 48.65, 50.2, 52.11, 53.26, 54.72] 2021-02-04 23:18:47.018: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:18:47.018: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.17 2021-02-04 23:18:47.018: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.09 2021-02-04 23:18:47.018: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.13 2021-02-04 23:18:47.112: INFO @evaluate_confidence: Previous accuracy would be: 32.06 2021-02-04 23:18:47.113: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:18:47.113: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [41.24, 43.14, 44.64, 45.85, 46.98, 49.47, 50.45] 2021-02-04 23:18:47.113: INFO @evaluate_confidence: Dropped ratios are: [57.6, 63.07, 68.19, 72.2, 75.49, 78.5, 80.51] 2021-02-04 23:18:47.123: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:18:47.484: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:18:47.552: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:18:47.799: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:18:47.940: INFO @decay_lr : LR updated to `0.00022657584` 2021-02-04 23:18:47.941: INFO @log_profile : T train: 12.856381 2021-02-04 23:18:47.941: INFO @log_profile : T valid: 1.657108 2021-02-04 23:18:47.941: INFO @log_profile : T read data: 0.404279 2021-02-04 23:18:47.941: INFO @log_profile : T hooks: 4.514542 2021-02-04 23:18:47.941: INFO @main_loop : Epoch 56 done 2021-02-04 23:18:47.941: INFO @main_loop : Training epoch 57 2021-02-04 23:19:03.461: INFO @log_variables: train loss nanmean: 1.722790 2021-02-04 23:19:03.461: INFO @log_variables: train age_loss mean: 12.949158 2021-02-04 23:19:03.461: INFO @log_variables: train gender_loss mean: 0.461825 2021-02-04 23:19:03.461: INFO @log_variables: train age_mae mean: 12.261010 2021-02-04 23:19:03.461: INFO @log_variables: train gender_accuracy mean: 0.778429 2021-02-04 23:19:03.461: INFO @log_variables: train gender_confidence/loss nanmean: 0.076754 2021-02-04 23:19:03.461: INFO @log_variables: train gender_confidence/accuracy mean: 0.701606 2021-02-04 23:19:03.461: INFO @log_variables: train age_confidence/loss mean: 0.049000 2021-02-04 23:19:03.461: INFO @log_variables: train age_confidence/accuracy mean: 0.733941 2021-02-04 23:19:03.461: INFO @log_variables: valid loss nanmean: 1.486542 2021-02-04 23:19:03.461: INFO @log_variables: valid age_loss mean: 11.138083 2021-02-04 23:19:03.461: INFO @log_variables: valid gender_loss mean: 0.378139 2021-02-04 23:19:03.461: INFO @log_variables: valid age_mae mean: 10.470695 2021-02-04 23:19:03.461: INFO @log_variables: valid gender_accuracy mean: 0.832664 2021-02-04 23:19:03.462: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073877 2021-02-04 23:19:03.462: INFO @log_variables: valid gender_confidence/accuracy mean: 0.769945 2021-02-04 23:19:03.462: INFO @log_variables: valid age_confidence/loss mean: 0.056350 2021-02-04 23:19:03.462: INFO @log_variables: valid age_confidence/accuracy mean: 0.673859 2021-02-04 23:19:03.462: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:19:03.464: INFO @metrics_hook: train age_mae: 12.261 +-0.180 (13824) 2021-02-04 23:19:03.466: INFO @metrics_hook: train gender_accuracy: 0.778 +-0.007 (13824) 2021-02-04 23:19:04.909: INFO @metrics_hook: valid age_mae: 10.471 +-0.293 (3986) 2021-02-04 23:19:04.909: INFO @metrics_hook: valid gender_accuracy: 0.833 +-0.012 (3986) 2021-02-04 23:19:06.246: INFO @decay_lr : LR updated to `0.00022544296` 2021-02-04 23:19:06.247: INFO @log_profile : T train: 12.902412 2021-02-04 23:19:06.247: INFO @log_profile : T valid: 1.578019 2021-02-04 23:19:06.247: INFO @log_profile : T read data: 0.396425 2021-02-04 23:19:06.247: INFO @log_profile : T hooks: 3.381278 2021-02-04 23:19:06.247: INFO @main_loop : Epoch 57 done 2021-02-04 23:19:06.248: INFO @main_loop : Training epoch 58 2021-02-04 23:19:21.212: INFO @log_variables: train loss nanmean: 1.688193 2021-02-04 23:19:21.213: INFO @log_variables: train age_loss mean: 12.761674 2021-02-04 23:19:21.213: INFO @log_variables: train gender_loss mean: 0.442253 2021-02-04 23:19:21.213: INFO @log_variables: train age_mae mean: 12.079793 2021-02-04 23:19:21.213: INFO @log_variables: train gender_accuracy mean: 0.791627 2021-02-04 23:19:21.213: INFO @log_variables: train gender_confidence/loss nanmean: 0.076276 2021-02-04 23:19:21.213: INFO @log_variables: train gender_confidence/accuracy mean: 0.714638 2021-02-04 23:19:21.213: INFO @log_variables: train age_confidence/loss mean: 0.049717 2021-02-04 23:19:21.213: INFO @log_variables: train age_confidence/accuracy mean: 0.728761 2021-02-04 23:19:21.213: INFO @log_variables: valid loss nanmean: 1.462232 2021-02-04 23:19:21.213: INFO @log_variables: valid age_loss mean: 10.916804 2021-02-04 23:19:21.213: INFO @log_variables: valid gender_loss mean: 0.373780 2021-02-04 23:19:21.213: INFO @log_variables: valid age_mae mean: 10.256754 2021-02-04 23:19:21.213: INFO @log_variables: valid gender_accuracy mean: 0.828399 2021-02-04 23:19:21.213: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073771 2021-02-04 23:19:21.213: INFO @log_variables: valid gender_confidence/accuracy mean: 0.785248 2021-02-04 23:19:21.213: INFO @log_variables: valid age_confidence/loss mean: 0.056224 2021-02-04 23:19:21.213: INFO @log_variables: valid age_confidence/accuracy mean: 0.673608 2021-02-04 23:19:21.214: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:19:21.215: INFO @metrics_hook: train age_mae: 12.080 +-0.180 (13807) 2021-02-04 23:19:21.217: INFO @metrics_hook: train gender_accuracy: 0.792 +-0.007 (13807) 2021-02-04 23:19:22.613: INFO @metrics_hook: valid age_mae: 10.257 +-0.286 (3986) 2021-02-04 23:19:22.613: INFO @metrics_hook: valid gender_accuracy: 0.828 +-0.012 (3986) 2021-02-04 23:19:23.840: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:19:23.840: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.18 2021-02-04 23:19:23.840: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:19:23.840: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.18 2021-02-04 23:19:23.923: INFO @evaluate_confidence: Previous accuracy would be: 79.16 2021-02-04 23:19:23.923: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:19:23.926: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.12, 86.61, 87.09, 87.49, 87.87, 88.23, 88.75, 89.44, 89.84, 90.24, 90.55, 90.84, 91.3, 91.55, 92.02] 2021-02-04 23:19:23.927: INFO @evaluate_confidence: Dropped ratios are: [33.77, 35.86, 37.93, 39.9, 41.74, 43.7, 45.51, 47.37, 48.98, 50.66, 52.39, 54.05, 55.73, 57.32, 58.88] 2021-02-04 23:19:23.932: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:19:23.932: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.44 +- 0.20 2021-02-04 23:19:23.932: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:19:23.932: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.15 2021-02-04 23:19:24.018: INFO @evaluate_confidence: Previous accuracy would be: 30.82 2021-02-04 23:19:24.018: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:19:24.020: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.08, 41.39, 43.08, 44.7, 46.12, 47.89, 49.2, 50.81, 52.49, 54.19] 2021-02-04 23:19:24.020: INFO @evaluate_confidence: Dropped ratios are: [56.43, 60.53, 64.36, 67.63, 70.52, 73.01, 75.4, 77.28, 79.18, 80.89] 2021-02-04 23:19:24.022: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:19:24.022: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.18 2021-02-04 23:19:24.022: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.14 2021-02-04 23:19:24.022: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.19 2021-02-04 23:19:24.093: INFO @evaluate_confidence: Previous accuracy would be: 82.84 2021-02-04 23:19:24.093: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:19:24.094: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.61, 90.01, 90.53, 90.96, 91.29, 91.55, 91.89, 92.2, 92.26, 92.4, 92.7, 93.16, 93.45, 94.04, 94.34, 94.59, 95.04, 95.12, 95.28] 2021-02-04 23:19:24.095: INFO @evaluate_confidence: Dropped ratios are: [26.59, 28.17, 29.83, 31.21, 32.89, 34.42, 35.98, 37.61, 39.39, 40.94, 42.27, 43.88, 45.58, 47.42, 49.02, 50.35, 51.91, 53.19, 54.87] 2021-02-04 23:19:24.096: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:19:24.096: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.16 2021-02-04 23:19:24.096: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.09 2021-02-04 23:19:24.096: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.13 2021-02-04 23:19:24.186: INFO @evaluate_confidence: Previous accuracy would be: 34.75 2021-02-04 23:19:24.186: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:19:24.187: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.69, 45.64, 47.22, 48.12, 48.52, 49.95, 51.59] 2021-02-04 23:19:24.187: INFO @evaluate_confidence: Dropped ratios are: [55.59, 60.04, 64.78, 68.56, 71.98, 75.69, 78.7] 2021-02-04 23:19:24.197: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:19:24.505: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:19:24.559: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:19:24.785: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:19:24.923: INFO @decay_lr : LR updated to `0.00022431574` 2021-02-04 23:19:24.924: INFO @log_profile : T train: 12.405798 2021-02-04 23:19:24.924: INFO @log_profile : T valid: 1.433293 2021-02-04 23:19:24.924: INFO @log_profile : T read data: 0.500433 2021-02-04 23:19:24.924: INFO @log_profile : T hooks: 4.293961 2021-02-04 23:19:24.925: INFO @main_loop : Epoch 58 done 2021-02-04 23:19:24.925: INFO @main_loop : Training epoch 59 2021-02-04 23:19:40.653: INFO @log_variables: train loss nanmean: 1.691012 2021-02-04 23:19:40.654: INFO @log_variables: train age_loss mean: 12.745370 2021-02-04 23:19:40.654: INFO @log_variables: train gender_loss mean: 0.447185 2021-02-04 23:19:40.654: INFO @log_variables: train age_mae mean: 12.060807 2021-02-04 23:19:40.654: INFO @log_variables: train gender_accuracy mean: 0.790292 2021-02-04 23:19:40.654: INFO @log_variables: train gender_confidence/loss nanmean: 0.076250 2021-02-04 23:19:40.654: INFO @log_variables: train gender_confidence/accuracy mean: 0.712601 2021-02-04 23:19:40.654: INFO @log_variables: train age_confidence/loss mean: 0.049560 2021-02-04 23:19:40.654: INFO @log_variables: train age_confidence/accuracy mean: 0.728733 2021-02-04 23:19:40.654: INFO @log_variables: valid loss nanmean: 1.496153 2021-02-04 23:19:40.654: INFO @log_variables: valid age_loss mean: 11.172789 2021-02-04 23:19:40.654: INFO @log_variables: valid gender_loss mean: 0.384300 2021-02-04 23:19:40.654: INFO @log_variables: valid age_mae mean: 10.510298 2021-02-04 23:19:40.654: INFO @log_variables: valid gender_accuracy mean: 0.830657 2021-02-04 23:19:40.654: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076107 2021-02-04 23:19:40.654: INFO @log_variables: valid gender_confidence/accuracy mean: 0.777973 2021-02-04 23:19:40.654: INFO @log_variables: valid age_confidence/loss mean: 0.054975 2021-02-04 23:19:40.655: INFO @log_variables: valid age_confidence/accuracy mean: 0.680632 2021-02-04 23:19:40.655: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:19:40.656: INFO @metrics_hook: train age_mae: 12.061 +-0.179 (13824) 2021-02-04 23:19:40.658: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-02-04 23:19:42.079: INFO @metrics_hook: valid age_mae: 10.510 +-0.292 (3986) 2021-02-04 23:19:42.080: INFO @metrics_hook: valid gender_accuracy: 0.831 +-0.012 (3986) 2021-02-04 23:19:43.391: INFO @decay_lr : LR updated to `0.00022319416` 2021-02-04 23:19:43.392: INFO @log_profile : T train: 13.050148 2021-02-04 23:19:43.392: INFO @log_profile : T valid: 1.608548 2021-02-04 23:19:43.392: INFO @log_profile : T read data: 0.406673 2021-02-04 23:19:43.392: INFO @log_profile : T hooks: 3.351954 2021-02-04 23:19:43.392: INFO @main_loop : Epoch 59 done 2021-02-04 23:19:43.392: INFO @main_loop : Training epoch 60 2021-02-04 23:19:59.630: INFO @log_variables: train loss nanmean: 1.679081 2021-02-04 23:19:59.630: INFO @log_variables: train age_loss mean: 12.683482 2021-02-04 23:19:59.630: INFO @log_variables: train gender_loss mean: 0.439732 2021-02-04 23:19:59.630: INFO @log_variables: train age_mae mean: 12.006605 2021-02-04 23:19:59.630: INFO @log_variables: train gender_accuracy mean: 0.795645 2021-02-04 23:19:59.630: INFO @log_variables: train gender_confidence/loss nanmean: 0.076416 2021-02-04 23:19:59.630: INFO @log_variables: train gender_confidence/accuracy mean: 0.716869 2021-02-04 23:19:59.630: INFO @log_variables: train age_confidence/loss mean: 0.049865 2021-02-04 23:19:59.630: INFO @log_variables: train age_confidence/accuracy mean: 0.727141 2021-02-04 23:19:59.630: INFO @log_variables: valid loss nanmean: 1.474484 2021-02-04 23:19:59.630: INFO @log_variables: valid age_loss mean: 11.039088 2021-02-04 23:19:59.630: INFO @log_variables: valid gender_loss mean: 0.375314 2021-02-04 23:19:59.631: INFO @log_variables: valid age_mae mean: 10.373134 2021-02-04 23:19:59.631: INFO @log_variables: valid gender_accuracy mean: 0.831159 2021-02-04 23:19:59.631: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074410 2021-02-04 23:19:59.631: INFO @log_variables: valid gender_confidence/accuracy mean: 0.776217 2021-02-04 23:19:59.631: INFO @log_variables: valid age_confidence/loss mean: 0.055326 2021-02-04 23:19:59.631: INFO @log_variables: valid age_confidence/accuracy mean: 0.677120 2021-02-04 23:19:59.631: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:19:59.632: INFO @metrics_hook: train age_mae: 12.007 +-0.177 (13824) 2021-02-04 23:19:59.634: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13824) 2021-02-04 23:20:01.036: INFO @metrics_hook: valid age_mae: 10.373 +-0.290 (3986) 2021-02-04 23:20:01.036: INFO @metrics_hook: valid gender_accuracy: 0.831 +-0.012 (3986) 2021-02-04 23:20:02.279: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:20:02.279: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.18 2021-02-04 23:20:02.279: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.13 2021-02-04 23:20:02.279: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.18 2021-02-04 23:20:02.363: INFO @evaluate_confidence: Previous accuracy would be: 79.56 2021-02-04 23:20:02.363: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:20:02.367: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.79, 87.25, 87.76, 88.38, 88.85, 89.17, 89.47, 89.96, 90.22, 90.51, 90.87, 91.07, 91.27, 91.55, 91.97] 2021-02-04 23:20:02.367: INFO @evaluate_confidence: Dropped ratios are: [33.7, 35.94, 37.96, 40.32, 42.24, 44.0, 45.86, 47.6, 49.18, 50.98, 52.52, 54.24, 55.68, 57.28, 58.91] 2021-02-04 23:20:02.372: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:20:02.373: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.21 2021-02-04 23:20:02.373: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:20:02.373: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.15 2021-02-04 23:20:02.455: INFO @evaluate_confidence: Previous accuracy would be: 31.30 2021-02-04 23:20:02.455: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:20:02.457: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.63, 41.96, 43.34, 44.8, 46.49, 48.35, 50.08, 51.83, 53.68, 55.81] 2021-02-04 23:20:02.457: INFO @evaluate_confidence: Dropped ratios are: [54.99, 59.26, 62.88, 65.94, 68.95, 71.78, 74.18, 76.12, 78.09, 79.85] 2021-02-04 23:20:02.459: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:20:02.459: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.18 2021-02-04 23:20:02.459: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.13 2021-02-04 23:20:02.459: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.18 2021-02-04 23:20:02.528: INFO @evaluate_confidence: Previous accuracy would be: 83.12 2021-02-04 23:20:02.529: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:20:02.530: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.05, 90.58, 90.89, 91.37, 92.01, 92.4, 92.79, 93.07, 93.41, 93.46, 93.97, 94.18, 94.57, 94.75, 95.09, 95.25, 95.33] 2021-02-04 23:20:02.530: INFO @evaluate_confidence: Dropped ratios are: [27.92, 30.48, 32.29, 34.02, 35.93, 37.93, 39.49, 40.99, 42.47, 43.95, 45.46, 46.59, 48.27, 49.85, 51.46, 52.96, 54.34] 2021-02-04 23:20:02.532: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:20:02.532: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.44 +- 0.17 2021-02-04 23:20:02.532: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.09 2021-02-04 23:20:02.532: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.13 2021-02-04 23:20:02.621: INFO @evaluate_confidence: Previous accuracy would be: 34.24 2021-02-04 23:20:02.621: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:20:02.622: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [43.71, 45.11, 46.44, 48.12, 48.75, 50.51, 51.08] 2021-02-04 23:20:02.622: INFO @evaluate_confidence: Dropped ratios are: [55.92, 60.51, 65.1, 68.72, 71.95, 75.16, 77.9] 2021-02-04 23:20:02.631: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:20:02.974: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:03.039: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:20:03.304: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:03.366: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:20:03.729: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:03.783: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:20:03.784: INFO @evaluate_gender-age_model: groups 0 11.356718 1 12.860689 2 11.540001 3 9.441964 4 10.196828 5 11.966554 6 14.299315 7 14.153698 Name: errors, dtype: float64 2021-02-04 23:20:03.785: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:20:04.023: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:04.074: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:20:04.075: INFO @evaluate_gender-age_model: groups 0 11.136638 1 11.820392 2 11.404000 3 9.850848 4 9.309365 5 9.481782 6 10.687778 7 9.535362 Name: errors, dtype: float64 2021-02-04 23:20:04.168: INFO @decay_lr : LR updated to `0.00022207819` 2021-02-04 23:20:04.169: INFO @log_profile : T train: 12.971177 2021-02-04 23:20:04.169: INFO @log_profile : T valid: 1.621049 2021-02-04 23:20:04.169: INFO @log_profile : T read data: 0.399321 2021-02-04 23:20:04.169: INFO @log_profile : T hooks: 5.735922 2021-02-04 23:20:04.169: INFO @main_loop : Epoch 60 done 2021-02-04 23:20:04.169: INFO @main_loop : Training epoch 61 2021-02-04 23:20:19.902: INFO @log_variables: train loss nanmean: 1.669686 2021-02-04 23:20:19.903: INFO @log_variables: train age_loss mean: 12.592580 2021-02-04 23:20:19.903: INFO @log_variables: train gender_loss mean: 0.440063 2021-02-04 23:20:19.903: INFO @log_variables: train age_mae mean: 11.917433 2021-02-04 23:20:19.903: INFO @log_variables: train gender_accuracy mean: 0.793438 2021-02-04 23:20:19.903: INFO @log_variables: train gender_confidence/loss nanmean: 0.075566 2021-02-04 23:20:19.903: INFO @log_variables: train gender_confidence/accuracy mean: 0.719780 2021-02-04 23:20:19.903: INFO @log_variables: train age_confidence/loss mean: 0.049283 2021-02-04 23:20:19.903: INFO @log_variables: train age_confidence/accuracy mean: 0.731078 2021-02-04 23:20:19.903: INFO @log_variables: valid loss nanmean: 1.439688 2021-02-04 23:20:19.903: INFO @log_variables: valid age_loss mean: 10.732726 2021-02-04 23:20:19.903: INFO @log_variables: valid gender_loss mean: 0.367118 2021-02-04 23:20:19.903: INFO @log_variables: valid age_mae mean: 10.082468 2021-02-04 23:20:19.903: INFO @log_variables: valid gender_accuracy mean: 0.835675 2021-02-04 23:20:19.903: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074738 2021-02-04 23:20:19.903: INFO @log_variables: valid gender_confidence/accuracy mean: 0.776217 2021-02-04 23:20:19.903: INFO @log_variables: valid age_confidence/loss mean: 0.055504 2021-02-04 23:20:19.903: INFO @log_variables: valid age_confidence/accuracy mean: 0.672604 2021-02-04 23:20:19.903: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:20:19.905: INFO @metrics_hook: train age_mae: 11.917 +-0.177 (13807) 2021-02-04 23:20:19.907: INFO @metrics_hook: train gender_accuracy: 0.793 +-0.007 (13807) 2021-02-04 23:20:21.319: INFO @metrics_hook: valid age_mae: 10.082 +-0.281 (3986) 2021-02-04 23:20:21.319: INFO @metrics_hook: valid gender_accuracy: 0.836 +-0.012 (3986) 2021-02-04 23:20:22.641: INFO @decay_lr : LR updated to `0.0002209678` 2021-02-04 23:20:22.830: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:20:22.832: INFO @log_profile : T train: 12.997760 2021-02-04 23:20:22.832: INFO @log_profile : T valid: 1.575188 2021-02-04 23:20:22.832: INFO @log_profile : T read data: 0.511110 2021-02-04 23:20:22.832: INFO @log_profile : T hooks: 3.529889 2021-02-04 23:20:22.832: INFO @main_loop : Epoch 61 done 2021-02-04 23:20:22.832: INFO @main_loop : Training epoch 62 2021-02-04 23:20:38.288: INFO @log_variables: train loss nanmean: 1.674431 2021-02-04 23:20:38.288: INFO @log_variables: train age_loss mean: 12.657508 2021-02-04 23:20:38.288: INFO @log_variables: train gender_loss mean: 0.436732 2021-02-04 23:20:38.288: INFO @log_variables: train age_mae mean: 11.978086 2021-02-04 23:20:38.288: INFO @log_variables: train gender_accuracy mean: 0.797309 2021-02-04 23:20:38.288: INFO @log_variables: train gender_confidence/loss nanmean: 0.076375 2021-02-04 23:20:38.288: INFO @log_variables: train gender_confidence/accuracy mean: 0.713108 2021-02-04 23:20:38.288: INFO @log_variables: train age_confidence/loss mean: 0.050344 2021-02-04 23:20:38.288: INFO @log_variables: train age_confidence/accuracy mean: 0.723307 2021-02-04 23:20:38.288: INFO @log_variables: valid loss nanmean: 1.457693 2021-02-04 23:20:38.288: INFO @log_variables: valid age_loss mean: 10.820535 2021-02-04 23:20:38.288: INFO @log_variables: valid gender_loss mean: 0.373614 2021-02-04 23:20:38.289: INFO @log_variables: valid age_mae mean: 10.167855 2021-02-04 23:20:38.289: INFO @log_variables: valid gender_accuracy mean: 0.836177 2021-02-04 23:20:38.289: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076669 2021-02-04 23:20:38.289: INFO @log_variables: valid gender_confidence/accuracy mean: 0.796789 2021-02-04 23:20:38.289: INFO @log_variables: valid age_confidence/loss mean: 0.057690 2021-02-04 23:20:38.289: INFO @log_variables: valid age_confidence/accuracy mean: 0.662820 2021-02-04 23:20:38.289: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:20:38.291: INFO @metrics_hook: train age_mae: 11.978 +-0.178 (13824) 2021-02-04 23:20:38.292: INFO @metrics_hook: train gender_accuracy: 0.797 +-0.007 (13824) 2021-02-04 23:20:39.756: INFO @metrics_hook: valid age_mae: 10.168 +-0.290 (3986) 2021-02-04 23:20:39.757: INFO @metrics_hook: valid gender_accuracy: 0.836 +-0.012 (3986) 2021-02-04 23:20:41.057: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:20:41.057: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.19 2021-02-04 23:20:41.057: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:20:41.057: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.19 2021-02-04 23:20:41.142: INFO @evaluate_confidence: Previous accuracy would be: 79.73 2021-02-04 23:20:41.142: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:20:41.145: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [86.78, 87.12, 87.64, 88.08, 88.55, 89.02, 89.71, 90.05, 90.45, 90.91, 91.26, 91.57, 91.8, 92.01, 92.35] 2021-02-04 23:20:41.145: INFO @evaluate_confidence: Dropped ratios are: [33.95, 35.71, 37.69, 39.67, 41.7, 43.52, 45.25, 47.19, 48.81, 50.51, 52.1, 53.65, 55.26, 56.83, 58.18] 2021-02-04 23:20:41.151: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:20:41.151: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.20 2021-02-04 23:20:41.151: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:20:41.151: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.15 2021-02-04 23:20:41.237: INFO @evaluate_confidence: Previous accuracy would be: 31.38 2021-02-04 23:20:41.238: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:20:41.240: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.13, 41.13, 42.45, 43.58, 45.25, 46.94, 48.45, 49.93, 51.58, 53.24] 2021-02-04 23:20:41.240: INFO @evaluate_confidence: Dropped ratios are: [54.12, 58.09, 62.07, 65.62, 68.73, 71.41, 73.68, 75.86, 77.97, 79.7] 2021-02-04 23:20:41.242: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:20:41.242: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.18 2021-02-04 23:20:41.242: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.15 2021-02-04 23:20:41.242: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.19 2021-02-04 23:20:41.311: INFO @evaluate_confidence: Previous accuracy would be: 83.62 2021-02-04 23:20:41.311: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:20:41.312: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.97, 90.46, 90.83, 90.94, 91.39, 91.7, 92.24, 92.6, 92.88, 93.17, 93.45, 93.54, 93.84, 94.09, 94.17, 94.39, 94.8, 95.22] 2021-02-04 23:20:41.312: INFO @evaluate_confidence: Dropped ratios are: [27.75, 29.55, 31.08, 32.44, 33.89, 35.62, 37.58, 39.31, 40.49, 41.95, 43.35, 44.43, 45.84, 47.39, 48.77, 49.95, 51.25, 52.26] 2021-02-04 23:20:41.314: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:20:41.314: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.17 2021-02-04 23:20:41.314: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.10 2021-02-04 23:20:41.314: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:20:41.402: INFO @evaluate_confidence: Previous accuracy would be: 36.30 2021-02-04 23:20:41.403: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45] 2021-02-04 23:20:41.403: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.44, 47.2, 48.99, 50.17, 50.19, 51.37, 52.86] 2021-02-04 23:20:41.403: INFO @evaluate_confidence: Dropped ratios are: [59.53, 63.7, 67.74, 71.05, 73.71, 76.17, 78.5] 2021-02-04 23:20:41.413: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:20:41.712: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:41.763: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:20:41.994: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:20:42.129: INFO @decay_lr : LR updated to `0.00021986297` 2021-02-04 23:20:42.325: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:20:42.326: INFO @log_profile : T train: 12.879769 2021-02-04 23:20:42.327: INFO @log_profile : T valid: 1.535787 2021-02-04 23:20:42.327: INFO @log_profile : T read data: 0.400446 2021-02-04 23:20:42.327: INFO @log_profile : T hooks: 4.630433 2021-02-04 23:20:42.327: INFO @main_loop : Epoch 62 done 2021-02-04 23:20:42.327: INFO @main_loop : Training epoch 63 2021-02-04 23:20:57.427: INFO @log_variables: train loss nanmean: 1.675776 2021-02-04 23:20:57.427: INFO @log_variables: train age_loss mean: 12.694502 2021-02-04 23:20:57.427: INFO @log_variables: train gender_loss mean: 0.435830 2021-02-04 23:20:57.427: INFO @log_variables: train age_mae mean: 12.018826 2021-02-04 23:20:57.427: INFO @log_variables: train gender_accuracy mean: 0.797945 2021-02-04 23:20:57.427: INFO @log_variables: train gender_confidence/loss nanmean: 0.075768 2021-02-04 23:20:57.427: INFO @log_variables: train gender_confidence/accuracy mean: 0.716776 2021-02-04 23:20:57.427: INFO @log_variables: train age_confidence/loss mean: 0.049753 2021-02-04 23:20:57.427: INFO @log_variables: train age_confidence/accuracy mean: 0.731317 2021-02-04 23:20:57.427: INFO @log_variables: valid loss nanmean: 1.469914 2021-02-04 23:20:57.427: INFO @log_variables: valid age_loss mean: 10.923950 2021-02-04 23:20:57.427: INFO @log_variables: valid gender_loss mean: 0.377123 2021-02-04 23:20:57.427: INFO @log_variables: valid age_mae mean: 10.269886 2021-02-04 23:20:57.427: INFO @log_variables: valid gender_accuracy mean: 0.833668 2021-02-04 23:20:57.427: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077564 2021-02-04 23:20:57.428: INFO @log_variables: valid gender_confidence/accuracy mean: 0.792775 2021-02-04 23:20:57.428: INFO @log_variables: valid age_confidence/loss mean: 0.056425 2021-02-04 23:20:57.428: INFO @log_variables: valid age_confidence/accuracy mean: 0.677873 2021-02-04 23:20:57.428: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:20:57.429: INFO @metrics_hook: train age_mae: 12.019 +-0.179 (13823) 2021-02-04 23:20:57.431: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13823) 2021-02-04 23:20:58.885: INFO @metrics_hook: valid age_mae: 10.270 +-0.289 (3986) 2021-02-04 23:20:58.885: INFO @metrics_hook: valid gender_accuracy: 0.834 +-0.012 (3986) 2021-02-04 23:21:00.256: INFO @decay_lr : LR updated to `0.00021876366` 2021-02-04 23:21:00.257: INFO @log_profile : T train: 12.534956 2021-02-04 23:21:00.257: INFO @log_profile : T valid: 1.534906 2021-02-04 23:21:00.257: INFO @log_profile : T read data: 0.393009 2021-02-04 23:21:00.257: INFO @log_profile : T hooks: 3.422979 2021-02-04 23:21:00.258: INFO @main_loop : Epoch 63 done 2021-02-04 23:21:00.258: INFO @main_loop : Training epoch 64 2021-02-04 23:21:15.913: INFO @log_variables: train loss nanmean: 1.646567 2021-02-04 23:21:15.913: INFO @log_variables: train age_loss mean: 12.445291 2021-02-04 23:21:15.913: INFO @log_variables: train gender_loss mean: 0.428539 2021-02-04 23:21:15.913: INFO @log_variables: train age_mae mean: 11.772765 2021-02-04 23:21:15.913: INFO @log_variables: train gender_accuracy mean: 0.798725 2021-02-04 23:21:15.913: INFO @log_variables: train gender_confidence/loss nanmean: 0.075705 2021-02-04 23:21:15.913: INFO @log_variables: train gender_confidence/accuracy mean: 0.716014 2021-02-04 23:21:15.913: INFO @log_variables: train age_confidence/loss mean: 0.049891 2021-02-04 23:21:15.913: INFO @log_variables: train age_confidence/accuracy mean: 0.726805 2021-02-04 23:21:15.913: INFO @log_variables: valid loss nanmean: 1.451275 2021-02-04 23:21:15.913: INFO @log_variables: valid age_loss mean: 10.761889 2021-02-04 23:21:15.914: INFO @log_variables: valid gender_loss mean: 0.376788 2021-02-04 23:21:15.914: INFO @log_variables: valid age_mae mean: 10.111378 2021-02-04 23:21:15.914: INFO @log_variables: valid gender_accuracy mean: 0.831410 2021-02-04 23:21:15.914: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075377 2021-02-04 23:21:15.914: INFO @log_variables: valid gender_confidence/accuracy mean: 0.788510 2021-02-04 23:21:15.914: INFO @log_variables: valid age_confidence/loss mean: 0.055010 2021-02-04 23:21:15.914: INFO @log_variables: valid age_confidence/accuracy mean: 0.680381 2021-02-04 23:21:15.914: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:21:15.916: INFO @metrics_hook: train age_mae: 11.773 +-0.175 (13807) 2021-02-04 23:21:15.917: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13807) 2021-02-04 23:21:17.369: INFO @metrics_hook: valid age_mae: 10.111 +-0.282 (3986) 2021-02-04 23:21:17.370: INFO @metrics_hook: valid gender_accuracy: 0.831 +-0.012 (3986) 2021-02-04 23:21:18.619: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:21:18.619: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.19 2021-02-04 23:21:18.619: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:21:18.619: INFO @evaluate_confidence: Average confidence of all samples 0.64 +- 0.19 2021-02-04 23:21:18.702: INFO @evaluate_confidence: Previous accuracy would be: 79.87 2021-02-04 23:21:18.702: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:21:18.705: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.3, 87.6, 88.13, 88.51, 88.95, 89.39, 89.88, 90.25, 90.7, 91.08, 91.43, 91.69, 92.08, 92.28, 92.42] 2021-02-04 23:21:18.705: INFO @evaluate_confidence: Dropped ratios are: [34.01, 35.88, 37.74, 39.41, 41.03, 42.86, 44.54, 46.21, 47.74, 49.51, 51.23, 52.76, 54.28, 55.97, 57.48] 2021-02-04 23:21:18.711: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:21:18.712: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.20 2021-02-04 23:21:18.712: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:21:18.712: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.14 2021-02-04 23:21:18.797: INFO @evaluate_confidence: Previous accuracy would be: 30.91 2021-02-04 23:21:18.798: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:21:18.800: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [40.2, 41.7, 42.95, 44.59, 45.8, 47.5, 48.85, 50.35, 52.14, 53.97] 2021-02-04 23:21:18.800: INFO @evaluate_confidence: Dropped ratios are: [55.83, 59.81, 63.76, 67.13, 69.84, 72.48, 75.06, 77.04, 78.86, 80.57] 2021-02-04 23:21:18.802: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:21:18.802: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.18 2021-02-04 23:21:18.802: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.15 2021-02-04 23:21:18.802: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.19 2021-02-04 23:21:18.868: INFO @evaluate_confidence: Previous accuracy would be: 83.14 2021-02-04 23:21:18.868: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:21:18.870: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.1, 90.37, 90.88, 91.24, 91.4, 91.46, 91.75, 92.08, 92.36, 92.66, 92.84, 93.18, 93.46, 93.82, 94.18, 94.44, 94.82, 95.13, 95.4] 2021-02-04 23:21:18.870: INFO @evaluate_confidence: Dropped ratios are: [27.55, 28.9, 30.43, 32.09, 33.79, 35.07, 36.78, 38.53, 39.56, 40.84, 42.5, 44.05, 45.18, 46.39, 47.87, 49.47, 51.13, 52.63, 54.21] 2021-02-04 23:21:18.871: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:21:18.871: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.42 +- 0.17 2021-02-04 23:21:18.872: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.09 2021-02-04 23:21:18.872: INFO @evaluate_confidence: Average confidence of all samples 0.37 +- 0.13 2021-02-04 23:21:18.962: INFO @evaluate_confidence: Previous accuracy would be: 34.67 2021-02-04 23:21:18.962: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41] 2021-02-04 23:21:18.963: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.3, 47.16, 48.42, 48.91, 50.61, 50.52, 51.88] 2021-02-04 23:21:18.963: INFO @evaluate_confidence: Dropped ratios are: [57.8, 62.39, 66.68, 70.05, 73.38, 75.87, 78.63] 2021-02-04 23:21:18.972: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:21:19.299: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:21:19.361: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:21:19.594: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:21:19.736: INFO @decay_lr : LR updated to `0.00021766983` 2021-02-04 23:21:19.737: INFO @log_profile : T train: 12.928093 2021-02-04 23:21:19.737: INFO @log_profile : T valid: 1.579811 2021-02-04 23:21:19.737: INFO @log_profile : T read data: 0.511528 2021-02-04 23:21:19.737: INFO @log_profile : T hooks: 4.410896 2021-02-04 23:21:19.737: INFO @main_loop : Epoch 64 done 2021-02-04 23:21:19.737: INFO @main_loop : Training epoch 65 2021-02-04 23:21:35.156: INFO @log_variables: train loss nanmean: 1.655377 2021-02-04 23:21:35.156: INFO @log_variables: train age_loss mean: 12.545097 2021-02-04 23:21:35.156: INFO @log_variables: train gender_loss mean: 0.427305 2021-02-04 23:21:35.156: INFO @log_variables: train age_mae mean: 11.873865 2021-02-04 23:21:35.156: INFO @log_variables: train gender_accuracy mean: 0.803964 2021-02-04 23:21:35.156: INFO @log_variables: train gender_confidence/loss nanmean: 0.076485 2021-02-04 23:21:35.156: INFO @log_variables: train gender_confidence/accuracy mean: 0.721137 2021-02-04 23:21:35.156: INFO @log_variables: train age_confidence/loss mean: 0.049969 2021-02-04 23:21:35.156: INFO @log_variables: train age_confidence/accuracy mean: 0.725767 2021-02-04 23:21:35.157: INFO @log_variables: valid loss nanmean: 1.451853 2021-02-04 23:21:35.157: INFO @log_variables: valid age_loss mean: 10.792621 2021-02-04 23:21:35.157: INFO @log_variables: valid gender_loss mean: 0.372425 2021-02-04 23:21:35.157: INFO @log_variables: valid age_mae mean: 10.141879 2021-02-04 23:21:35.157: INFO @log_variables: valid gender_accuracy mean: 0.833166 2021-02-04 23:21:35.157: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076761 2021-02-04 23:21:35.157: INFO @log_variables: valid gender_confidence/accuracy mean: 0.799799 2021-02-04 23:21:35.157: INFO @log_variables: valid age_confidence/loss mean: 0.055376 2021-02-04 23:21:35.157: INFO @log_variables: valid age_confidence/accuracy mean: 0.681134 2021-02-04 23:21:35.157: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:21:35.160: INFO @metrics_hook: train age_mae: 11.874 +-0.180 (13824) 2021-02-04 23:21:35.162: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-02-04 23:21:36.724: INFO @metrics_hook: valid age_mae: 10.142 +-0.284 (3986) 2021-02-04 23:21:36.725: INFO @metrics_hook: valid gender_accuracy: 0.833 +-0.012 (3986) 2021-02-04 23:21:38.097: INFO @decay_lr : LR updated to `0.00021658148` 2021-02-04 23:21:38.098: INFO @log_profile : T train: 12.781032 2021-02-04 23:21:38.098: INFO @log_profile : T valid: 1.583706 2021-02-04 23:21:38.098: INFO @log_profile : T read data: 0.402881 2021-02-04 23:21:38.098: INFO @log_profile : T hooks: 3.545025 2021-02-04 23:21:38.098: INFO @main_loop : Epoch 65 done 2021-02-04 23:21:38.098: INFO @main_loop : Training epoch 66 2021-02-04 23:21:53.783: INFO @log_variables: train loss nanmean: 1.633561 2021-02-04 23:21:53.783: INFO @log_variables: train age_loss mean: 12.353680 2021-02-04 23:21:53.783: INFO @log_variables: train gender_loss mean: 0.421759 2021-02-04 23:21:53.783: INFO @log_variables: train age_mae mean: 11.682081 2021-02-04 23:21:53.783: INFO @log_variables: train gender_accuracy mean: 0.803964 2021-02-04 23:21:53.783: INFO @log_variables: train gender_confidence/loss nanmean: 0.076034 2021-02-04 23:21:53.783: INFO @log_variables: train gender_confidence/accuracy mean: 0.724392 2021-02-04 23:21:53.783: INFO @log_variables: train age_confidence/loss mean: 0.051049 2021-02-04 23:21:53.783: INFO @log_variables: train age_confidence/accuracy mean: 0.713252 2021-02-04 23:21:53.783: INFO @log_variables: valid loss nanmean: 1.450993 2021-02-04 23:21:53.784: INFO @log_variables: valid age_loss mean: 10.758047 2021-02-04 23:21:53.784: INFO @log_variables: valid gender_loss mean: 0.376589 2021-02-04 23:21:53.784: INFO @log_variables: valid age_mae mean: 10.106769 2021-02-04 23:21:53.784: INFO @log_variables: valid gender_accuracy mean: 0.830406 2021-02-04 23:21:53.784: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074331 2021-02-04 23:21:53.784: INFO @log_variables: valid gender_confidence/accuracy mean: 0.785499 2021-02-04 23:21:53.784: INFO @log_variables: valid age_confidence/loss mean: 0.056304 2021-02-04 23:21:53.784: INFO @log_variables: valid age_confidence/accuracy mean: 0.673859 2021-02-04 23:21:53.784: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:21:53.786: INFO @metrics_hook: train age_mae: 11.682 +-0.176 (13824) 2021-02-04 23:21:53.787: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-02-04 23:21:55.230: INFO @metrics_hook: valid age_mae: 10.107 +-0.282 (3986) 2021-02-04 23:21:55.231: INFO @metrics_hook: valid gender_accuracy: 0.830 +-0.012 (3986) 2021-02-04 23:21:56.581: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:21:56.581: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.19 2021-02-04 23:21:56.581: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:21:56.581: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:21:56.669: INFO @evaluate_confidence: Previous accuracy would be: 80.40 2021-02-04 23:21:56.669: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:21:56.672: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.22, 87.57, 88.0, 88.47, 88.98, 89.4, 89.85, 90.31, 90.7, 91.06, 91.16, 91.38, 91.74, 92.11, 92.48] 2021-02-04 23:21:56.672: INFO @evaluate_confidence: Dropped ratios are: [32.6, 34.54, 36.62, 38.73, 40.61, 42.53, 44.34, 46.19, 48.03, 49.62, 51.24, 52.83, 54.45, 55.83, 57.3] 2021-02-04 23:21:56.679: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:21:56.679: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.20 2021-02-04 23:21:56.679: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:21:56.679: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.15 2021-02-04 23:21:56.768: INFO @evaluate_confidence: Previous accuracy would be: 32.26 2021-02-04 23:21:56.768: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45] 2021-02-04 23:21:56.771: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [41.78, 43.15, 44.5, 46.16, 47.77, 49.23, 50.86, 52.05, 53.64, 55.38] 2021-02-04 23:21:56.771: INFO @evaluate_confidence: Dropped ratios are: [56.59, 60.45, 64.16, 67.56, 70.46, 72.8, 75.14, 76.89, 78.64, 80.35] 2021-02-04 23:21:56.772: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:21:56.772: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.18 2021-02-04 23:21:56.772: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.13 2021-02-04 23:21:56.773: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.19 2021-02-04 23:21:56.851: INFO @evaluate_confidence: Previous accuracy would be: 83.04 2021-02-04 23:21:56.851: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:21:56.852: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.06, 90.69, 90.99, 91.5, 92.07, 92.55, 92.87, 93.21, 93.57, 93.77, 94.18, 94.41, 94.67, 94.67, 94.72, 95.06, 95.27, 95.57] 2021-02-04 23:21:56.852: INFO @evaluate_confidence: Dropped ratios are: [29.05, 30.76, 32.36, 33.89, 35.12, 36.68, 38.03, 39.41, 40.67, 42.05, 43.55, 44.83, 46.36, 47.74, 49.17, 50.7, 52.31, 53.51] 2021-02-04 23:21:56.854: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:21:56.855: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.17 2021-02-04 23:21:56.855: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.09 2021-02-04 23:21:56.855: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.13 2021-02-04 23:21:56.952: INFO @evaluate_confidence: Previous accuracy would be: 35.88 2021-02-04 23:21:56.952: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:21:56.953: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.78, 46.92, 47.94, 49.36, 50.04, 50.81, 52.43, 53.87, 55.85] 2021-02-04 23:21:56.953: INFO @evaluate_confidence: Dropped ratios are: [52.99, 57.6, 62.17, 66.61, 70.47, 73.53, 76.22, 78.63, 81.13] 2021-02-04 23:21:56.965: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:21:57.323: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:21:57.387: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:21:57.639: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:21:57.812: INFO @decay_lr : LR updated to `0.00021549857` 2021-02-04 23:21:57.813: INFO @log_profile : T train: 13.051547 2021-02-04 23:21:57.814: INFO @log_profile : T valid: 1.606803 2021-02-04 23:21:57.814: INFO @log_profile : T read data: 0.405889 2021-02-04 23:21:57.814: INFO @log_profile : T hooks: 4.602330 2021-02-04 23:21:57.814: INFO @main_loop : Epoch 66 done 2021-02-04 23:21:57.814: INFO @main_loop : Training epoch 67 2021-02-04 23:22:13.586: INFO @log_variables: train loss nanmean: 1.639371 2021-02-04 23:22:13.586: INFO @log_variables: train age_loss mean: 12.311021 2021-02-04 23:22:13.586: INFO @log_variables: train gender_loss mean: 0.433247 2021-02-04 23:22:13.586: INFO @log_variables: train age_mae mean: 11.646099 2021-02-04 23:22:13.586: INFO @log_variables: train gender_accuracy mean: 0.799015 2021-02-04 23:22:13.586: INFO @log_variables: train gender_confidence/loss nanmean: 0.076269 2021-02-04 23:22:13.586: INFO @log_variables: train gender_confidence/accuracy mean: 0.712392 2021-02-04 23:22:13.586: INFO @log_variables: train age_confidence/loss mean: 0.050057 2021-02-04 23:22:13.586: INFO @log_variables: train age_confidence/accuracy mean: 0.725357 2021-02-04 23:22:13.586: INFO @log_variables: valid loss nanmean: 1.432868 2021-02-04 23:22:13.586: INFO @log_variables: valid age_loss mean: 10.719057 2021-02-04 23:22:13.586: INFO @log_variables: valid gender_loss mean: 0.360195 2021-02-04 23:22:13.586: INFO @log_variables: valid age_mae mean: 10.071048 2021-02-04 23:22:13.586: INFO @log_variables: valid gender_accuracy mean: 0.840442 2021-02-04 23:22:13.586: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075427 2021-02-04 23:22:13.587: INFO @log_variables: valid gender_confidence/accuracy mean: 0.804315 2021-02-04 23:22:13.587: INFO @log_variables: valid age_confidence/loss mean: 0.055531 2021-02-04 23:22:13.587: INFO @log_variables: valid age_confidence/accuracy mean: 0.683141 2021-02-04 23:22:13.587: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:22:13.588: INFO @metrics_hook: train age_mae: 11.646 +-0.177 (13807) 2021-02-04 23:22:13.590: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13807) 2021-02-04 23:22:15.047: INFO @metrics_hook: valid age_mae: 10.071 +-0.280 (3986) 2021-02-04 23:22:15.048: INFO @metrics_hook: valid gender_accuracy: 0.840 +-0.012 (3986) 2021-02-04 23:22:16.407: INFO @decay_lr : LR updated to `0.00021442107` 2021-02-04 23:22:16.597: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:22:16.598: INFO @log_profile : T train: 12.971939 2021-02-04 23:22:16.598: INFO @log_profile : T valid: 1.618219 2021-02-04 23:22:16.598: INFO @log_profile : T read data: 0.524986 2021-02-04 23:22:16.598: INFO @log_profile : T hooks: 3.620011 2021-02-04 23:22:16.598: INFO @main_loop : Epoch 67 done 2021-02-04 23:22:16.598: INFO @main_loop : Training epoch 68 2021-02-04 23:22:32.086: INFO @log_variables: train loss nanmean: 1.621601 2021-02-04 23:22:32.086: INFO @log_variables: train age_loss mean: 12.236592 2021-02-04 23:22:32.086: INFO @log_variables: train gender_loss mean: 0.421675 2021-02-04 23:22:32.086: INFO @log_variables: train age_mae mean: 11.569804 2021-02-04 23:22:32.086: INFO @log_variables: train gender_accuracy mean: 0.804253 2021-02-04 23:22:32.086: INFO @log_variables: train gender_confidence/loss nanmean: 0.075418 2021-02-04 23:22:32.086: INFO @log_variables: train gender_confidence/accuracy mean: 0.723163 2021-02-04 23:22:32.086: INFO @log_variables: train age_confidence/loss mean: 0.050425 2021-02-04 23:22:32.086: INFO @log_variables: train age_confidence/accuracy mean: 0.719039 2021-02-04 23:22:32.087: INFO @log_variables: valid loss nanmean: 1.444671 2021-02-04 23:22:32.087: INFO @log_variables: valid age_loss mean: 10.882062 2021-02-04 23:22:32.087: INFO @log_variables: valid gender_loss mean: 0.356944 2021-02-04 23:22:32.087: INFO @log_variables: valid age_mae mean: 10.227962 2021-02-04 23:22:32.087: INFO @log_variables: valid gender_accuracy mean: 0.843201 2021-02-04 23:22:32.087: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075044 2021-02-04 23:22:32.087: INFO @log_variables: valid gender_confidence/accuracy mean: 0.795785 2021-02-04 23:22:32.087: INFO @log_variables: valid age_confidence/loss mean: 0.055855 2021-02-04 23:22:32.087: INFO @log_variables: valid age_confidence/accuracy mean: 0.679629 2021-02-04 23:22:32.087: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:22:32.089: INFO @metrics_hook: train age_mae: 11.570 +-0.174 (13824) 2021-02-04 23:22:32.090: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-02-04 23:22:33.536: INFO @metrics_hook: valid age_mae: 10.228 +-0.290 (3986) 2021-02-04 23:22:33.537: INFO @metrics_hook: valid gender_accuracy: 0.843 +-0.012 (3986) 2021-02-04 23:22:34.794: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:22:34.794: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.19 2021-02-04 23:22:34.794: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:22:34.794: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:22:34.877: INFO @evaluate_confidence: Previous accuracy would be: 80.43 2021-02-04 23:22:34.877: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:22:34.881: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.24, 87.8, 88.15, 88.53, 88.97, 89.44, 89.78, 90.11, 90.53, 90.93, 91.35, 91.77, 92.12, 92.37, 92.6, 92.9] 2021-02-04 23:22:34.881: INFO @evaluate_confidence: Dropped ratios are: [32.68, 34.74, 36.61, 38.45, 40.21, 41.93, 43.66, 45.44, 47.21, 48.89, 50.42, 52.18, 53.65, 55.24, 56.6, 58.13] 2021-02-04 23:22:34.887: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:22:34.887: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.21 2021-02-04 23:22:34.887: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:22:34.887: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.16 2021-02-04 23:22:34.972: INFO @evaluate_confidence: Previous accuracy would be: 32.37 2021-02-04 23:22:34.972: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:22:34.975: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [42.77, 44.19, 45.39, 46.98, 48.4, 50.16, 51.75, 53.13, 54.69, 55.71, 57.05, 58.47] 2021-02-04 23:22:34.975: INFO @evaluate_confidence: Dropped ratios are: [53.96, 57.96, 61.51, 64.76, 67.72, 70.25, 72.74, 74.7, 76.53, 78.15, 79.64, 80.95] 2021-02-04 23:22:34.976: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:22:34.977: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.18 2021-02-04 23:22:34.977: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:22:34.977: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.18 2021-02-04 23:22:38.367: INFO @evaluate_confidence: Previous accuracy would be: 84.32 2021-02-04 23:22:38.368: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:22:38.369: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.81, 91.12, 91.4, 91.69, 92.0, 92.43, 92.76, 93.24, 93.58, 93.93, 94.32, 94.65, 94.99, 95.56, 95.87, 96.01, 96.17, 96.27] 2021-02-04 23:22:38.369: INFO @evaluate_confidence: Dropped ratios are: [27.95, 29.05, 30.83, 32.41, 33.82, 35.67, 37.28, 38.79, 40.17, 41.72, 43.05, 44.71, 46.39, 47.99, 49.55, 50.9, 52.23, 53.56] 2021-02-04 23:22:38.371: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:22:38.371: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.44 +- 0.18 2021-02-04 23:22:38.371: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:22:38.371: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.14 2021-02-04 23:22:38.466: INFO @evaluate_confidence: Previous accuracy would be: 34.70 2021-02-04 23:22:38.467: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:22:38.468: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.5, 46.73, 47.95, 48.74, 50.04, 50.93, 52.0, 53.69] 2021-02-04 23:22:38.468: INFO @evaluate_confidence: Dropped ratios are: [54.79, 59.36, 63.22, 66.23, 69.52, 71.73, 74.23, 76.54] 2021-02-04 23:22:38.480: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:22:38.822: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:22:38.873: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:22:39.112: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:22:39.259: INFO @decay_lr : LR updated to `0.00021334896` 2021-02-04 23:22:39.459: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:22:39.461: INFO @log_profile : T train: 12.841636 2021-02-04 23:22:39.461: INFO @log_profile : T valid: 1.605380 2021-02-04 23:22:39.461: INFO @log_profile : T read data: 0.401733 2021-02-04 23:22:39.461: INFO @log_profile : T hooks: 7.965321 2021-02-04 23:22:39.461: INFO @main_loop : Epoch 68 done 2021-02-04 23:22:39.461: INFO @main_loop : Training epoch 69 2021-02-04 23:22:55.051: INFO @log_variables: train loss nanmean: 1.636197 2021-02-04 23:22:55.051: INFO @log_variables: train age_loss mean: 12.411920 2021-02-04 23:22:55.051: INFO @log_variables: train gender_loss mean: 0.419641 2021-02-04 23:22:55.051: INFO @log_variables: train age_mae mean: 11.744049 2021-02-04 23:22:55.051: INFO @log_variables: train gender_accuracy mean: 0.805194 2021-02-04 23:22:55.051: INFO @log_variables: train gender_confidence/loss nanmean: 0.075583 2021-02-04 23:22:55.051: INFO @log_variables: train gender_confidence/accuracy mean: 0.724899 2021-02-04 23:22:55.051: INFO @log_variables: train age_confidence/loss mean: 0.050766 2021-02-04 23:22:55.051: INFO @log_variables: train age_confidence/accuracy mean: 0.719256 2021-02-04 23:22:55.051: INFO @log_variables: valid loss nanmean: 1.475706 2021-02-04 23:22:55.051: INFO @log_variables: valid age_loss mean: 11.044101 2021-02-04 23:22:55.051: INFO @log_variables: valid gender_loss mean: 0.374766 2021-02-04 23:22:55.051: INFO @log_variables: valid age_mae mean: 10.386513 2021-02-04 23:22:55.051: INFO @log_variables: valid gender_accuracy mean: 0.838685 2021-02-04 23:22:55.051: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074414 2021-02-04 23:22:55.051: INFO @log_variables: valid gender_confidence/accuracy mean: 0.784747 2021-02-04 23:22:55.052: INFO @log_variables: valid age_confidence/loss mean: 0.056587 2021-02-04 23:22:55.052: INFO @log_variables: valid age_confidence/accuracy mean: 0.665078 2021-02-04 23:22:55.052: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:22:55.053: INFO @metrics_hook: train age_mae: 11.744 +-0.177 (13824) 2021-02-04 23:22:55.054: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13824) 2021-02-04 23:22:56.648: INFO @metrics_hook: valid age_mae: 10.387 +-0.296 (3986) 2021-02-04 23:22:56.649: INFO @metrics_hook: valid gender_accuracy: 0.839 +-0.012 (3986) 2021-02-04 23:22:58.123: INFO @decay_lr : LR updated to `0.00021228222` 2021-02-04 23:22:58.124: INFO @log_profile : T train: 12.943655 2021-02-04 23:22:58.125: INFO @log_profile : T valid: 1.599100 2021-02-04 23:22:58.125: INFO @log_profile : T read data: 0.399157 2021-02-04 23:22:58.125: INFO @log_profile : T hooks: 3.672195 2021-02-04 23:22:58.125: INFO @main_loop : Epoch 69 done 2021-02-04 23:22:58.125: INFO @main_loop : Training epoch 70 2021-02-04 23:23:14.522: INFO @log_variables: train loss nanmean: 1.637317 2021-02-04 23:23:14.522: INFO @log_variables: train age_loss mean: 12.364764 2021-02-04 23:23:14.522: INFO @log_variables: train gender_loss mean: 0.425381 2021-02-04 23:23:14.522: INFO @log_variables: train age_mae mean: 11.700212 2021-02-04 23:23:14.522: INFO @log_variables: train gender_accuracy mean: 0.801695 2021-02-04 23:23:14.522: INFO @log_variables: train gender_confidence/loss nanmean: 0.076055 2021-02-04 23:23:14.522: INFO @log_variables: train gender_confidence/accuracy mean: 0.723184 2021-02-04 23:23:14.522: INFO @log_variables: train age_confidence/loss mean: 0.050482 2021-02-04 23:23:14.522: INFO @log_variables: train age_confidence/accuracy mean: 0.722387 2021-02-04 23:23:14.522: INFO @log_variables: valid loss nanmean: 1.439314 2021-02-04 23:23:14.522: INFO @log_variables: valid age_loss mean: 10.763004 2021-02-04 23:23:14.522: INFO @log_variables: valid gender_loss mean: 0.364584 2021-02-04 23:23:14.523: INFO @log_variables: valid age_mae mean: 10.119234 2021-02-04 23:23:14.523: INFO @log_variables: valid gender_accuracy mean: 0.835926 2021-02-04 23:23:14.523: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073834 2021-02-04 23:23:14.523: INFO @log_variables: valid gender_confidence/accuracy mean: 0.807827 2021-02-04 23:23:14.523: INFO @log_variables: valid age_confidence/loss mean: 0.055584 2021-02-04 23:23:14.523: INFO @log_variables: valid age_confidence/accuracy mean: 0.678123 2021-02-04 23:23:14.523: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:23:14.524: INFO @metrics_hook: train age_mae: 11.700 +-0.177 (13807) 2021-02-04 23:23:14.525: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13807) 2021-02-04 23:23:15.992: INFO @metrics_hook: valid age_mae: 10.119 +-0.281 (3986) 2021-02-04 23:23:15.993: INFO @metrics_hook: valid gender_accuracy: 0.836 +-0.012 (3986) 2021-02-04 23:23:17.302: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:23:17.302: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.67 +- 0.19 2021-02-04 23:23:17.302: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:23:17.302: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:23:17.405: INFO @evaluate_confidence: Previous accuracy would be: 80.17 2021-02-04 23:23:17.405: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67] 2021-02-04 23:23:17.409: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.44, 87.82, 88.18, 88.43, 88.71, 89.12, 89.53, 89.94, 90.27, 90.51, 90.99, 91.33, 91.84, 92.21, 92.41] 2021-02-04 23:23:17.409: INFO @evaluate_confidence: Dropped ratios are: [33.17, 35.07, 37.07, 38.89, 40.51, 42.47, 44.3, 46.1, 47.75, 49.19, 50.95, 52.53, 54.2, 55.75, 57.26] 2021-02-04 23:23:17.415: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:23:17.415: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.21 2021-02-04 23:23:17.415: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:23:17.415: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.15 2021-02-04 23:23:17.512: INFO @evaluate_confidence: Previous accuracy would be: 32.07 2021-02-04 23:23:17.512: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:23:17.515: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [41.54, 43.07, 44.11, 46.01, 47.85, 49.47, 51.25, 53.36, 55.33, 56.77, 58.37, 60.11] 2021-02-04 23:23:17.515: INFO @evaluate_confidence: Dropped ratios are: [53.9, 58.31, 61.87, 65.15, 68.44, 71.15, 73.6, 75.84, 77.84, 79.52, 81.05, 82.35] 2021-02-04 23:23:17.517: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:23:17.517: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.18 2021-02-04 23:23:17.518: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.14 2021-02-04 23:23:17.518: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.18 2021-02-04 23:23:17.595: INFO @evaluate_confidence: Previous accuracy would be: 83.59 2021-02-04 23:23:17.595: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:23:17.596: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.85, 91.58, 91.5, 91.8, 92.08, 92.48, 92.81, 93.12, 93.42, 93.7, 93.98, 94.11, 94.45, 94.55, 94.7, 94.98, 95.77, 95.95] 2021-02-04 23:23:17.596: INFO @evaluate_confidence: Dropped ratios are: [27.09, 29.13, 30.66, 32.36, 34.12, 35.6, 37.23, 38.71, 40.17, 41.5, 42.88, 44.18, 45.76, 47.01, 48.42, 49.97, 51.35, 52.91] 2021-02-04 23:23:17.598: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:23:17.598: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.17 2021-02-04 23:23:17.598: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.09 2021-02-04 23:23:17.598: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.13 2021-02-04 23:23:17.696: INFO @evaluate_confidence: Previous accuracy would be: 34.77 2021-02-04 23:23:17.697: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:23:17.698: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.48, 45.39, 46.78, 47.69, 48.46, 50.34, 51.73] 2021-02-04 23:23:17.698: INFO @evaluate_confidence: Dropped ratios are: [54.54, 59.16, 63.42, 67.39, 70.75, 74.23, 76.77] 2021-02-04 23:23:17.707: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:23:18.037: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:18.100: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:23:18.335: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:18.389: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:23:18.708: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:18.760: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:23:18.760: INFO @evaluate_gender-age_model: groups 0 11.076125 1 12.567748 2 11.349933 3 9.673104 4 9.482614 5 11.546517 6 14.294041 7 13.603047 Name: errors, dtype: float64 2021-02-04 23:23:18.761: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:23:19.007: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:19.058: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:23:19.058: INFO @evaluate_gender-age_model: groups 0 10.523317 1 10.724511 2 9.185175 3 7.095544 4 9.614260 5 11.772722 6 12.978654 7 12.576068 Name: errors, dtype: float64 2021-02-04 23:23:19.151: INFO @decay_lr : LR updated to `0.0002112208` 2021-02-04 23:23:19.152: INFO @log_profile : T train: 13.064417 2021-02-04 23:23:19.152: INFO @log_profile : T valid: 1.648154 2021-02-04 23:23:19.152: INFO @log_profile : T read data: 0.505129 2021-02-04 23:23:19.152: INFO @log_profile : T hooks: 5.760723 2021-02-04 23:23:19.152: INFO @main_loop : Epoch 70 done 2021-02-04 23:23:19.152: INFO @main_loop : Training epoch 71 2021-02-04 23:23:34.707: INFO @log_variables: train loss nanmean: 1.596971 2021-02-04 23:23:34.707: INFO @log_variables: train age_loss mean: 12.012270 2021-02-04 23:23:34.707: INFO @log_variables: train gender_loss mean: 0.416545 2021-02-04 23:23:34.707: INFO @log_variables: train age_mae mean: 11.352643 2021-02-04 23:23:34.707: INFO @log_variables: train gender_accuracy mean: 0.809100 2021-02-04 23:23:34.707: INFO @log_variables: train gender_confidence/loss nanmean: 0.075206 2021-02-04 23:23:34.707: INFO @log_variables: train gender_confidence/accuracy mean: 0.726418 2021-02-04 23:23:34.707: INFO @log_variables: train age_confidence/loss mean: 0.051063 2021-02-04 23:23:34.707: INFO @log_variables: train age_confidence/accuracy mean: 0.715061 2021-02-04 23:23:34.707: INFO @log_variables: valid loss nanmean: 1.421060 2021-02-04 23:23:34.707: INFO @log_variables: valid age_loss mean: 10.600935 2021-02-04 23:23:34.708: INFO @log_variables: valid gender_loss mean: 0.360340 2021-02-04 23:23:34.708: INFO @log_variables: valid age_mae mean: 9.958227 2021-02-04 23:23:34.708: INFO @log_variables: valid gender_accuracy mean: 0.841696 2021-02-04 23:23:34.708: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073719 2021-02-04 23:23:34.708: INFO @log_variables: valid gender_confidence/accuracy mean: 0.787005 2021-02-04 23:23:34.708: INFO @log_variables: valid age_confidence/loss mean: 0.056039 2021-02-04 23:23:34.708: INFO @log_variables: valid age_confidence/accuracy mean: 0.669092 2021-02-04 23:23:34.708: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:23:34.710: INFO @metrics_hook: train age_mae: 11.353 +-0.172 (13824) 2021-02-04 23:23:34.711: INFO @metrics_hook: train gender_accuracy: 0.809 +-0.007 (13824) 2021-02-04 23:23:36.133: INFO @metrics_hook: valid age_mae: 9.958 +-0.280 (3986) 2021-02-04 23:23:36.134: INFO @metrics_hook: valid gender_accuracy: 0.842 +-0.012 (3986) 2021-02-04 23:23:37.495: INFO @decay_lr : LR updated to `0.0002101647` 2021-02-04 23:23:37.497: INFO @log_profile : T train: 12.931537 2021-02-04 23:23:37.497: INFO @log_profile : T valid: 1.572932 2021-02-04 23:23:37.497: INFO @log_profile : T read data: 0.404145 2021-02-04 23:23:37.497: INFO @log_profile : T hooks: 3.386937 2021-02-04 23:23:37.497: INFO @main_loop : Epoch 71 done 2021-02-04 23:23:37.497: INFO @main_loop : Training epoch 72 2021-02-04 23:23:53.184: INFO @log_variables: train loss nanmean: 1.609151 2021-02-04 23:23:53.185: INFO @log_variables: train age_loss mean: 12.109004 2021-02-04 23:23:53.185: INFO @log_variables: train gender_loss mean: 0.420115 2021-02-04 23:23:53.185: INFO @log_variables: train age_mae mean: 11.450951 2021-02-04 23:23:53.185: INFO @log_variables: train gender_accuracy mean: 0.806062 2021-02-04 23:23:53.185: INFO @log_variables: train gender_confidence/loss nanmean: 0.075749 2021-02-04 23:23:53.185: INFO @log_variables: train gender_confidence/accuracy mean: 0.723669 2021-02-04 23:23:53.185: INFO @log_variables: train age_confidence/loss mean: 0.050660 2021-02-04 23:23:53.185: INFO @log_variables: train age_confidence/accuracy mean: 0.721499 2021-02-04 23:23:53.185: INFO @log_variables: valid loss nanmean: 1.415253 2021-02-04 23:23:53.185: INFO @log_variables: valid age_loss mean: 10.606599 2021-02-04 23:23:53.185: INFO @log_variables: valid gender_loss mean: 0.351453 2021-02-04 23:23:53.185: INFO @log_variables: valid age_mae mean: 9.962006 2021-02-04 23:23:53.185: INFO @log_variables: valid gender_accuracy mean: 0.845459 2021-02-04 23:23:53.185: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073747 2021-02-04 23:23:53.185: INFO @log_variables: valid gender_confidence/accuracy mean: 0.803061 2021-02-04 23:23:53.185: INFO @log_variables: valid age_confidence/loss mean: 0.057767 2021-02-04 23:23:53.185: INFO @log_variables: valid age_confidence/accuracy mean: 0.663823 2021-02-04 23:23:53.185: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:23:53.187: INFO @metrics_hook: train age_mae: 11.451 +-0.174 (13824) 2021-02-04 23:23:53.189: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-02-04 23:23:54.643: INFO @metrics_hook: valid age_mae: 9.962 +-0.284 (3986) 2021-02-04 23:23:54.643: INFO @metrics_hook: valid gender_accuracy: 0.845 +-0.011 (3986) 2021-02-04 23:23:55.911: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:23:55.911: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.19 2021-02-04 23:23:55.911: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:23:55.911: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:23:55.998: INFO @evaluate_confidence: Previous accuracy would be: 80.61 2021-02-04 23:23:55.998: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:23:56.002: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.31, 87.7, 88.07, 88.49, 89.0, 89.55, 89.84, 90.43, 90.75, 91.04, 91.28, 91.45, 91.78, 92.05, 92.24, 92.66] 2021-02-04 23:23:56.002: INFO @evaluate_confidence: Dropped ratios are: [32.74, 34.62, 36.44, 38.36, 40.07, 41.98, 43.77, 45.59, 47.11, 48.63, 50.4, 52.04, 53.61, 55.25, 56.81, 58.53] 2021-02-04 23:23:56.008: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:23:56.008: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:23:56.008: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.35 +- 0.10 2021-02-04 23:23:56.008: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.16 2021-02-04 23:23:56.091: INFO @evaluate_confidence: Previous accuracy would be: 32.77 2021-02-04 23:23:56.092: INFO @evaluate_confidence: Possible optimal thresholds are: [0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:23:56.095: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [41.9, 43.31, 44.88, 46.57, 48.61, 50.1, 51.99, 54.1, 56.06, 57.56, 59.17, 61.2, 62.96] 2021-02-04 23:23:56.095: INFO @evaluate_confidence: Dropped ratios are: [53.02, 57.33, 61.19, 64.83, 68.14, 70.92, 73.44, 75.56, 77.63, 79.1, 80.48, 81.73, 82.89] 2021-02-04 23:23:56.096: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:23:56.096: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.18 2021-02-04 23:23:56.096: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:23:56.097: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.19 2021-02-04 23:23:56.165: INFO @evaluate_confidence: Previous accuracy would be: 84.55 2021-02-04 23:23:56.165: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:23:56.166: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.29, 91.56, 91.92, 92.33, 92.55, 92.79, 93.18, 93.57, 94.09, 94.24, 94.44, 94.52, 94.67, 95.01, 95.21, 95.57, 95.77, 96.03, 96.24] 2021-02-04 23:23:56.166: INFO @evaluate_confidence: Dropped ratios are: [26.59, 28.37, 29.8, 31.66, 32.97, 34.6, 36.03, 37.16, 38.86, 40.34, 41.75, 42.77, 44.0, 45.71, 47.11, 48.52, 49.6, 50.68, 51.98] 2021-02-04 23:23:56.168: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:23:56.168: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.17 2021-02-04 23:23:56.168: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.09 2021-02-04 23:23:56.168: INFO @evaluate_confidence: Average confidence of all samples 0.38 +- 0.13 2021-02-04 23:23:56.261: INFO @evaluate_confidence: Previous accuracy would be: 36.70 2021-02-04 23:23:56.261: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:23:56.262: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.09, 49.27, 50.95, 52.46, 54.27, 55.18, 55.89] 2021-02-04 23:23:56.262: INFO @evaluate_confidence: Dropped ratios are: [57.38, 62.32, 66.96, 70.45, 73.56, 76.49, 78.9] 2021-02-04 23:23:56.271: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:23:56.585: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:56.642: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:23:56.874: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:23:57.022: INFO @decay_lr : LR updated to `0.00020911387` 2021-02-04 23:23:57.234: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:23:57.236: INFO @log_profile : T train: 12.999637 2021-02-04 23:23:57.236: INFO @log_profile : T valid: 1.635283 2021-02-04 23:23:57.236: INFO @log_profile : T read data: 0.404222 2021-02-04 23:23:57.236: INFO @log_profile : T hooks: 4.650684 2021-02-04 23:23:57.236: INFO @main_loop : Epoch 72 done 2021-02-04 23:23:57.236: INFO @main_loop : Training epoch 73 2021-02-04 23:24:12.960: INFO @log_variables: train loss nanmean: 1.610652 2021-02-04 23:24:12.960: INFO @log_variables: train age_loss mean: 12.234646 2021-02-04 23:24:12.960: INFO @log_variables: train gender_loss mean: 0.410678 2021-02-04 23:24:12.961: INFO @log_variables: train age_mae mean: 11.571846 2021-02-04 23:24:12.961: INFO @log_variables: train gender_accuracy mean: 0.807489 2021-02-04 23:24:12.961: INFO @log_variables: train gender_confidence/loss nanmean: 0.074761 2021-02-04 23:24:12.961: INFO @log_variables: train gender_confidence/accuracy mean: 0.724560 2021-02-04 23:24:12.961: INFO @log_variables: train age_confidence/loss mean: 0.050306 2021-02-04 23:24:12.961: INFO @log_variables: train age_confidence/accuracy mean: 0.724705 2021-02-04 23:24:12.961: INFO @log_variables: valid loss nanmean: 1.429260 2021-02-04 23:24:12.961: INFO @log_variables: valid age_loss mean: 10.761605 2021-02-04 23:24:12.961: INFO @log_variables: valid gender_loss mean: 0.351625 2021-02-04 23:24:12.961: INFO @log_variables: valid age_mae mean: 10.114906 2021-02-04 23:24:12.961: INFO @log_variables: valid gender_accuracy mean: 0.842950 2021-02-04 23:24:12.961: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073378 2021-02-04 23:24:12.961: INFO @log_variables: valid gender_confidence/accuracy mean: 0.802308 2021-02-04 23:24:12.961: INFO @log_variables: valid age_confidence/loss mean: 0.057895 2021-02-04 23:24:12.961: INFO @log_variables: valid age_confidence/accuracy mean: 0.652283 2021-02-04 23:24:12.961: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:24:12.963: INFO @metrics_hook: train age_mae: 11.572 +-0.175 (13807) 2021-02-04 23:24:12.965: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13807) 2021-02-04 23:24:14.406: INFO @metrics_hook: valid age_mae: 10.115 +-0.293 (3986) 2021-02-04 23:24:14.406: INFO @metrics_hook: valid gender_accuracy: 0.843 +-0.012 (3986) 2021-02-04 23:24:15.785: INFO @decay_lr : LR updated to `0.0002080683` 2021-02-04 23:24:15.786: INFO @log_profile : T train: 12.899157 2021-02-04 23:24:15.786: INFO @log_profile : T valid: 1.651661 2021-02-04 23:24:15.786: INFO @log_profile : T read data: 0.520246 2021-02-04 23:24:15.786: INFO @log_profile : T hooks: 3.429996 2021-02-04 23:24:15.786: INFO @main_loop : Epoch 73 done 2021-02-04 23:24:15.786: INFO @main_loop : Training epoch 74 2021-02-04 23:24:31.193: INFO @log_variables: train loss nanmean: 1.594487 2021-02-04 23:24:31.193: INFO @log_variables: train age_loss mean: 12.105897 2021-02-04 23:24:31.193: INFO @log_variables: train gender_loss mean: 0.404365 2021-02-04 23:24:31.193: INFO @log_variables: train age_mae mean: 11.446077 2021-02-04 23:24:31.193: INFO @log_variables: train gender_accuracy mean: 0.813151 2021-02-04 23:24:31.193: INFO @log_variables: train gender_confidence/loss nanmean: 0.074951 2021-02-04 23:24:31.193: INFO @log_variables: train gender_confidence/accuracy mean: 0.724465 2021-02-04 23:24:31.193: INFO @log_variables: train age_confidence/loss mean: 0.051396 2021-02-04 23:24:31.193: INFO @log_variables: train age_confidence/accuracy mean: 0.712240 2021-02-04 23:24:31.193: INFO @log_variables: valid loss nanmean: 1.429784 2021-02-04 23:24:31.193: INFO @log_variables: valid age_loss mean: 10.797616 2021-02-04 23:24:31.193: INFO @log_variables: valid gender_loss mean: 0.350232 2021-02-04 23:24:31.193: INFO @log_variables: valid age_mae mean: 10.150991 2021-02-04 23:24:31.193: INFO @log_variables: valid gender_accuracy mean: 0.840442 2021-02-04 23:24:31.193: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072400 2021-02-04 23:24:31.194: INFO @log_variables: valid gender_confidence/accuracy mean: 0.793026 2021-02-04 23:24:31.194: INFO @log_variables: valid age_confidence/loss mean: 0.057389 2021-02-04 23:24:31.194: INFO @log_variables: valid age_confidence/accuracy mean: 0.654290 2021-02-04 23:24:31.194: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:24:31.196: INFO @metrics_hook: train age_mae: 11.446 +-0.176 (13824) 2021-02-04 23:24:31.197: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13824) 2021-02-04 23:24:32.649: INFO @metrics_hook: valid age_mae: 10.151 +-0.289 (3986) 2021-02-04 23:24:32.650: INFO @metrics_hook: valid gender_accuracy: 0.840 +-0.012 (3986) 2021-02-04 23:24:33.916: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:24:33.916: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.19 2021-02-04 23:24:33.916: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.14 2021-02-04 23:24:33.916: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:24:34.001: INFO @evaluate_confidence: Previous accuracy would be: 81.32 2021-02-04 23:24:34.002: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:24:34.005: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.71, 88.19, 88.74, 89.02, 89.5, 89.93, 90.31, 90.74, 91.18, 91.51, 91.93, 92.36, 92.74, 93.07, 93.53, 93.94, 94.34] 2021-02-04 23:24:34.005: INFO @evaluate_confidence: Dropped ratios are: [30.72, 32.71, 34.53, 36.09, 37.93, 39.74, 41.41, 43.11, 44.65, 46.38, 47.93, 49.42, 50.77, 52.18, 53.6, 55.37, 56.81] 2021-02-04 23:24:34.011: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:24:34.011: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.20 2021-02-04 23:24:34.012: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:24:34.012: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.15 2021-02-04 23:24:34.097: INFO @evaluate_confidence: Previous accuracy would be: 32.83 2021-02-04 23:24:34.097: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45] 2021-02-04 23:24:34.100: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [42.44, 43.69, 45.53, 47.03, 48.5, 49.92, 51.41, 52.94, 54.57, 56.08] 2021-02-04 23:24:34.100: INFO @evaluate_confidence: Dropped ratios are: [55.05, 58.98, 62.88, 66.25, 69.32, 71.79, 74.05, 76.22, 78.06, 79.82] 2021-02-04 23:24:34.101: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:24:34.101: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.19 2021-02-04 23:24:34.101: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.14 2021-02-04 23:24:34.101: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.20 2021-02-04 23:24:34.171: INFO @evaluate_confidence: Previous accuracy would be: 84.04 2021-02-04 23:24:34.171: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:24:34.173: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.98, 91.48, 91.83, 92.1, 92.45, 92.78, 93.19, 93.64, 93.94, 94.23, 94.57, 94.88, 95.18, 95.18, 95.24, 95.5, 95.64, 95.94, 96.08, 96.34] 2021-02-04 23:24:34.173: INFO @evaluate_confidence: Dropped ratios are: [25.44, 27.27, 28.47, 30.16, 31.59, 33.29, 34.82, 36.5, 37.91, 39.11, 40.44, 41.72, 43.23, 44.81, 46.24, 47.64, 48.77, 49.97, 51.38, 52.68] 2021-02-04 23:24:34.174: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:24:34.174: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:24:34.174: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.10 2021-02-04 23:24:34.175: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.13 2021-02-04 23:24:34.262: INFO @evaluate_confidence: Previous accuracy would be: 35.83 2021-02-04 23:24:34.262: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:24:34.262: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.3, 46.21, 46.57, 46.76, 47.35, 48.72, 49.35] 2021-02-04 23:24:34.263: INFO @evaluate_confidence: Dropped ratios are: [57.58, 61.62, 65.3, 68.67, 72.08, 74.51, 76.72] 2021-02-04 23:24:34.273: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:24:34.611: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:24:34.667: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:24:34.929: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:24:35.083: INFO @decay_lr : LR updated to `0.00020702796` 2021-02-04 23:24:35.084: INFO @log_profile : T train: 12.810448 2021-02-04 23:24:35.084: INFO @log_profile : T valid: 1.582532 2021-02-04 23:24:35.084: INFO @log_profile : T read data: 0.392211 2021-02-04 23:24:35.084: INFO @log_profile : T hooks: 4.464830 2021-02-04 23:24:35.084: INFO @main_loop : Epoch 74 done 2021-02-04 23:24:35.084: INFO @main_loop : Training epoch 75 2021-02-04 23:24:50.554: INFO @log_variables: train loss nanmean: 1.581547 2021-02-04 23:24:50.555: INFO @log_variables: train age_loss mean: 11.901914 2021-02-04 23:24:50.555: INFO @log_variables: train gender_loss mean: 0.408700 2021-02-04 23:24:50.555: INFO @log_variables: train age_mae mean: 11.249312 2021-02-04 23:24:50.555: INFO @log_variables: train gender_accuracy mean: 0.811617 2021-02-04 23:24:50.555: INFO @log_variables: train gender_confidence/loss nanmean: 0.075833 2021-02-04 23:24:50.555: INFO @log_variables: train gender_confidence/accuracy mean: 0.721084 2021-02-04 23:24:50.555: INFO @log_variables: train age_confidence/loss mean: 0.052176 2021-02-04 23:24:50.555: INFO @log_variables: train age_confidence/accuracy mean: 0.709640 2021-02-04 23:24:50.555: INFO @log_variables: valid loss nanmean: 1.430645 2021-02-04 23:24:50.555: INFO @log_variables: valid age_loss mean: 10.714495 2021-02-04 23:24:50.555: INFO @log_variables: valid gender_loss mean: 0.356678 2021-02-04 23:24:50.555: INFO @log_variables: valid age_mae mean: 10.074577 2021-02-04 23:24:50.555: INFO @log_variables: valid gender_accuracy mean: 0.842198 2021-02-04 23:24:50.555: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076422 2021-02-04 23:24:50.555: INFO @log_variables: valid gender_confidence/accuracy mean: 0.801555 2021-02-04 23:24:50.555: INFO @log_variables: valid age_confidence/loss mean: 0.055925 2021-02-04 23:24:50.556: INFO @log_variables: valid age_confidence/accuracy mean: 0.671851 2021-02-04 23:24:50.556: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:24:50.557: INFO @metrics_hook: train age_mae: 11.249 +-0.175 (13807) 2021-02-04 23:24:50.559: INFO @metrics_hook: train gender_accuracy: 0.812 +-0.007 (13807) 2021-02-04 23:24:51.992: INFO @metrics_hook: valid age_mae: 10.075 +-0.280 (3986) 2021-02-04 23:24:51.992: INFO @metrics_hook: valid gender_accuracy: 0.842 +-0.012 (3986) 2021-02-04 23:24:53.312: INFO @decay_lr : LR updated to `0.00020599282` 2021-02-04 23:24:53.313: INFO @log_profile : T train: 12.789964 2021-02-04 23:24:53.313: INFO @log_profile : T valid: 1.578500 2021-02-04 23:24:53.313: INFO @log_profile : T read data: 0.491649 2021-02-04 23:24:53.313: INFO @log_profile : T hooks: 3.322180 2021-02-04 23:24:53.313: INFO @main_loop : Epoch 75 done 2021-02-04 23:24:53.313: INFO @main_loop : Training epoch 76 2021-02-04 23:25:08.793: INFO @log_variables: train loss nanmean: 1.599320 2021-02-04 23:25:08.793: INFO @log_variables: train age_loss mean: 12.082546 2021-02-04 23:25:08.793: INFO @log_variables: train gender_loss mean: 0.411986 2021-02-04 23:25:08.793: INFO @log_variables: train age_mae mean: 11.429244 2021-02-04 23:25:08.793: INFO @log_variables: train gender_accuracy mean: 0.809679 2021-02-04 23:25:08.793: INFO @log_variables: train gender_confidence/loss nanmean: 0.075090 2021-02-04 23:25:08.793: INFO @log_variables: train gender_confidence/accuracy mean: 0.727431 2021-02-04 23:25:08.793: INFO @log_variables: train age_confidence/loss mean: 0.051285 2021-02-04 23:25:08.793: INFO @log_variables: train age_confidence/accuracy mean: 0.713686 2021-02-04 23:25:08.793: INFO @log_variables: valid loss nanmean: 1.436748 2021-02-04 23:25:08.794: INFO @log_variables: valid age_loss mean: 10.625359 2021-02-04 23:25:08.794: INFO @log_variables: valid gender_loss mean: 0.370482 2021-02-04 23:25:08.794: INFO @log_variables: valid age_mae mean: 9.985300 2021-02-04 23:25:08.794: INFO @log_variables: valid gender_accuracy mean: 0.835173 2021-02-04 23:25:08.794: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075975 2021-02-04 23:25:08.794: INFO @log_variables: valid gender_confidence/accuracy mean: 0.785750 2021-02-04 23:25:08.794: INFO @log_variables: valid age_confidence/loss mean: 0.058029 2021-02-04 23:25:08.794: INFO @log_variables: valid age_confidence/accuracy mean: 0.658304 2021-02-04 23:25:08.794: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:25:08.796: INFO @metrics_hook: train age_mae: 11.429 +-0.177 (13824) 2021-02-04 23:25:08.797: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13824) 2021-02-04 23:25:10.210: INFO @metrics_hook: valid age_mae: 9.985 +-0.291 (3986) 2021-02-04 23:25:10.211: INFO @metrics_hook: valid gender_accuracy: 0.835 +-0.012 (3986) 2021-02-04 23:25:11.430: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:25:11.430: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.19 2021-02-04 23:25:11.430: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:25:11.430: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.20 2021-02-04 23:25:11.512: INFO @evaluate_confidence: Previous accuracy would be: 80.97 2021-02-04 23:25:11.512: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:25:11.516: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.55, 87.94, 88.46, 88.86, 89.32, 89.77, 90.23, 90.58, 90.84, 91.23, 91.48, 91.8, 92.12, 92.39, 92.59, 93.07, 93.27] 2021-02-04 23:25:11.516: INFO @evaluate_confidence: Dropped ratios are: [30.4, 32.24, 33.88, 35.65, 37.4, 39.07, 40.75, 42.42, 43.85, 45.57, 47.04, 48.48, 50.07, 51.71, 53.11, 54.61, 56.13] 2021-02-04 23:25:11.522: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:25:11.522: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:25:11.522: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:25:11.522: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.16 2021-02-04 23:25:11.603: INFO @evaluate_confidence: Previous accuracy would be: 33.62 2021-02-04 23:25:11.603: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:25:11.606: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.86, 46.09, 47.67, 49.19, 50.55, 51.94, 53.67, 55.36, 57.09, 59.47, 61.12] 2021-02-04 23:25:11.606: INFO @evaluate_confidence: Dropped ratios are: [54.93, 58.93, 62.61, 65.91, 68.68, 71.33, 73.57, 75.55, 77.46, 79.22, 80.67] 2021-02-04 23:25:11.607: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:25:11.608: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.18 2021-02-04 23:25:11.608: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.14 2021-02-04 23:25:11.608: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.19 2021-02-04 23:25:11.674: INFO @evaluate_confidence: Previous accuracy would be: 83.52 2021-02-04 23:25:11.674: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:25:11.675: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.31, 90.71, 90.98, 91.23, 91.41, 91.64, 92.02, 92.53, 92.62, 92.83, 93.13, 93.54, 93.61, 94.2, 94.58, 94.94, 95.06, 95.38, 95.65] 2021-02-04 23:25:11.675: INFO @evaluate_confidence: Dropped ratios are: [27.22, 28.95, 30.16, 31.66, 33.09, 34.55, 36.15, 37.91, 39.19, 40.84, 42.27, 44.05, 45.43, 46.84, 48.17, 49.42, 50.73, 52.18, 53.81] 2021-02-04 23:25:11.677: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:25:11.677: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:25:11.677: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:25:11.677: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.13 2021-02-04 23:25:11.764: INFO @evaluate_confidence: Previous accuracy would be: 36.95 2021-02-04 23:25:11.764: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:25:11.765: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.37, 46.93, 48.85, 49.53, 51.21, 51.84, 52.98, 54.3, 54.91] 2021-02-04 23:25:11.765: INFO @evaluate_confidence: Dropped ratios are: [51.96, 56.65, 60.76, 65.15, 68.94, 72.03, 74.76, 77.22, 78.8] 2021-02-04 23:25:11.775: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:25:12.094: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:25:12.145: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:25:12.380: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:25:12.519: INFO @decay_lr : LR updated to `0.00020496285` 2021-02-04 23:25:12.520: INFO @log_profile : T train: 12.858370 2021-02-04 23:25:12.520: INFO @log_profile : T valid: 1.583094 2021-02-04 23:25:12.520: INFO @log_profile : T read data: 0.401855 2021-02-04 23:25:12.520: INFO @log_profile : T hooks: 4.315677 2021-02-04 23:25:12.520: INFO @main_loop : Epoch 76 done 2021-02-04 23:25:12.520: INFO @main_loop : Training epoch 77 2021-02-04 23:25:28.194: INFO @log_variables: train loss nanmean: 1.596195 2021-02-04 23:25:28.194: INFO @log_variables: train age_loss mean: 12.031281 2021-02-04 23:25:28.194: INFO @log_variables: train gender_loss mean: 0.413861 2021-02-04 23:25:28.194: INFO @log_variables: train age_mae mean: 11.378826 2021-02-04 23:25:28.194: INFO @log_variables: train gender_accuracy mean: 0.806048 2021-02-04 23:25:28.194: INFO @log_variables: train gender_confidence/loss nanmean: 0.075129 2021-02-04 23:25:28.194: INFO @log_variables: train gender_confidence/accuracy mean: 0.724589 2021-02-04 23:25:28.194: INFO @log_variables: train age_confidence/loss mean: 0.051076 2021-02-04 23:25:28.194: INFO @log_variables: train age_confidence/accuracy mean: 0.718513 2021-02-04 23:25:28.194: INFO @log_variables: valid loss nanmean: 1.401319 2021-02-04 23:25:28.194: INFO @log_variables: valid age_loss mean: 10.431359 2021-02-04 23:25:28.194: INFO @log_variables: valid gender_loss mean: 0.350083 2021-02-04 23:25:28.194: INFO @log_variables: valid age_mae mean: 9.793393 2021-02-04 23:25:28.195: INFO @log_variables: valid gender_accuracy mean: 0.849975 2021-02-04 23:25:28.195: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075834 2021-02-04 23:25:28.195: INFO @log_variables: valid gender_confidence/accuracy mean: 0.802057 2021-02-04 23:25:28.195: INFO @log_variables: valid age_confidence/loss mean: 0.058922 2021-02-04 23:25:28.195: INFO @log_variables: valid age_confidence/accuracy mean: 0.645509 2021-02-04 23:25:28.195: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:25:28.196: INFO @metrics_hook: train age_mae: 11.379 +-0.175 (13823) 2021-02-04 23:25:28.198: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13823) 2021-02-04 23:25:29.683: INFO @metrics_hook: valid age_mae: 9.793 +-0.284 (3986) 2021-02-04 23:25:29.683: INFO @metrics_hook: valid gender_accuracy: 0.850 +-0.011 (3986) 2021-02-04 23:25:31.011: INFO @decay_lr : LR updated to `0.00020393803` 2021-02-04 23:25:31.206: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:25:31.208: INFO @log_profile : T train: 12.947094 2021-02-04 23:25:31.208: INFO @log_profile : T valid: 1.674377 2021-02-04 23:25:31.208: INFO @log_profile : T read data: 0.397119 2021-02-04 23:25:31.208: INFO @log_profile : T hooks: 3.619166 2021-02-04 23:25:31.208: INFO @main_loop : Epoch 77 done 2021-02-04 23:25:31.208: INFO @main_loop : Training epoch 78 2021-02-04 23:25:46.392: INFO @log_variables: train loss nanmean: 1.581858 2021-02-04 23:25:46.392: INFO @log_variables: train age_loss mean: 11.891493 2021-02-04 23:25:46.393: INFO @log_variables: train gender_loss mean: 0.410668 2021-02-04 23:25:46.393: INFO @log_variables: train age_mae mean: 11.238594 2021-02-04 23:25:46.393: INFO @log_variables: train gender_accuracy mean: 0.810458 2021-02-04 23:25:46.393: INFO @log_variables: train gender_confidence/loss nanmean: 0.075748 2021-02-04 23:25:46.393: INFO @log_variables: train gender_confidence/accuracy mean: 0.725212 2021-02-04 23:25:46.393: INFO @log_variables: train age_confidence/loss mean: 0.051731 2021-02-04 23:25:46.393: INFO @log_variables: train age_confidence/accuracy mean: 0.711523 2021-02-04 23:25:46.393: INFO @log_variables: valid loss nanmean: 1.423753 2021-02-04 23:25:46.393: INFO @log_variables: valid age_loss mean: 10.776858 2021-02-04 23:25:46.393: INFO @log_variables: valid gender_loss mean: 0.345071 2021-02-04 23:25:46.393: INFO @log_variables: valid age_mae mean: 10.144640 2021-02-04 23:25:46.393: INFO @log_variables: valid gender_accuracy mean: 0.846713 2021-02-04 23:25:46.393: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072310 2021-02-04 23:25:46.393: INFO @log_variables: valid gender_confidence/accuracy mean: 0.801054 2021-02-04 23:25:46.393: INFO @log_variables: valid age_confidence/loss mean: 0.058029 2021-02-04 23:25:46.393: INFO @log_variables: valid age_confidence/accuracy mean: 0.665078 2021-02-04 23:25:46.393: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:25:46.395: INFO @metrics_hook: train age_mae: 11.239 +-0.175 (13807) 2021-02-04 23:25:46.397: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13807) 2021-02-04 23:25:47.880: INFO @metrics_hook: valid age_mae: 10.145 +-0.290 (3986) 2021-02-04 23:25:47.881: INFO @metrics_hook: valid gender_accuracy: 0.847 +-0.011 (3986) 2021-02-04 23:25:49.150: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:25:49.150: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.19 2021-02-04 23:25:49.150: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.14 2021-02-04 23:25:49.150: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.19 2021-02-04 23:25:49.235: INFO @evaluate_confidence: Previous accuracy would be: 81.05 2021-02-04 23:25:49.235: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:25:49.239: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [87.87, 88.25, 88.67, 89.01, 89.39, 89.82, 90.25, 90.53, 90.82, 91.2, 91.7, 91.93, 92.23, 92.55, 92.99, 93.2] 2021-02-04 23:25:49.239: INFO @evaluate_confidence: Dropped ratios are: [32.9, 34.64, 36.28, 38.07, 39.77, 41.67, 43.4, 45.08, 46.67, 48.16, 49.82, 51.34, 52.92, 54.41, 56.0, 57.38] 2021-02-04 23:25:49.245: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:25:49.245: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:25:49.245: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:25:49.245: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.16 2021-02-04 23:25:49.327: INFO @evaluate_confidence: Previous accuracy would be: 33.85 2021-02-04 23:25:49.328: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:25:49.330: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.3, 45.63, 47.27, 48.84, 50.47, 51.9, 53.38, 55.21, 56.74, 58.4, 60.14] 2021-02-04 23:25:49.330: INFO @evaluate_confidence: Dropped ratios are: [53.65, 57.62, 61.25, 64.65, 67.44, 69.81, 72.02, 74.16, 76.13, 78.01, 79.76] 2021-02-04 23:25:49.332: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:25:49.332: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.18 2021-02-04 23:25:49.332: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.14 2021-02-04 23:25:49.332: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.19 2021-02-04 23:25:49.405: INFO @evaluate_confidence: Previous accuracy would be: 84.67 2021-02-04 23:25:49.405: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:25:49.406: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.2, 91.72, 92.05, 92.95, 93.23, 93.4, 93.77, 94.08, 94.31, 94.61, 94.9, 95.16, 95.32, 95.57, 95.59, 95.79, 96.12, 96.26, 96.48] 2021-02-04 23:25:49.406: INFO @evaluate_confidence: Dropped ratios are: [25.06, 26.94, 28.65, 30.66, 32.14, 33.49, 34.8, 36.0, 37.43, 39.06, 40.47, 41.9, 43.23, 44.51, 46.01, 47.54, 48.9, 50.43, 51.48] 2021-02-04 23:25:49.409: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:25:49.409: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:25:49.409: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:25:49.409: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:25:49.496: INFO @evaluate_confidence: Previous accuracy would be: 36.10 2021-02-04 23:25:49.496: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:25:49.497: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.31, 47.72, 48.14, 49.33, 50.95, 51.46, 52.45, 53.59, 54.53] 2021-02-04 23:25:49.497: INFO @evaluate_confidence: Dropped ratios are: [53.74, 58.2, 62.22, 66.08, 69.52, 72.5, 75.41, 78.0, 80.08] 2021-02-04 23:25:49.508: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:25:49.822: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:25:49.875: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:25:50.109: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:25:50.251: INFO @decay_lr : LR updated to `0.00020291834` 2021-02-04 23:25:50.252: INFO @log_profile : T train: 12.437977 2021-02-04 23:25:50.252: INFO @log_profile : T valid: 1.600256 2021-02-04 23:25:50.252: INFO @log_profile : T read data: 0.508927 2021-02-04 23:25:50.252: INFO @log_profile : T hooks: 4.451140 2021-02-04 23:25:50.252: INFO @main_loop : Epoch 78 done 2021-02-04 23:25:50.252: INFO @main_loop : Training epoch 79 2021-02-04 23:26:05.765: INFO @log_variables: train loss nanmean: 1.570994 2021-02-04 23:26:05.766: INFO @log_variables: train age_loss mean: 11.853844 2021-02-04 23:26:05.766: INFO @log_variables: train gender_loss mean: 0.404092 2021-02-04 23:26:05.766: INFO @log_variables: train age_mae mean: 11.204509 2021-02-04 23:26:05.766: INFO @log_variables: train gender_accuracy mean: 0.814743 2021-02-04 23:26:05.766: INFO @log_variables: train gender_confidence/loss nanmean: 0.075184 2021-02-04 23:26:05.766: INFO @log_variables: train gender_confidence/accuracy mean: 0.732639 2021-02-04 23:26:05.766: INFO @log_variables: train age_confidence/loss mean: 0.050832 2021-02-04 23:26:05.766: INFO @log_variables: train age_confidence/accuracy mean: 0.718388 2021-02-04 23:26:05.766: INFO @log_variables: valid loss nanmean: 1.411452 2021-02-04 23:26:05.766: INFO @log_variables: valid age_loss mean: 10.525301 2021-02-04 23:26:05.766: INFO @log_variables: valid gender_loss mean: 0.353886 2021-02-04 23:26:05.766: INFO @log_variables: valid age_mae mean: 9.896077 2021-02-04 23:26:05.766: INFO @log_variables: valid gender_accuracy mean: 0.847717 2021-02-04 23:26:05.766: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075454 2021-02-04 23:26:05.766: INFO @log_variables: valid gender_confidence/accuracy mean: 0.823131 2021-02-04 23:26:05.766: INFO @log_variables: valid age_confidence/loss mean: 0.057438 2021-02-04 23:26:05.766: INFO @log_variables: valid age_confidence/accuracy mean: 0.653036 2021-02-04 23:26:05.767: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:26:05.768: INFO @metrics_hook: train age_mae: 11.205 +-0.171 (13824) 2021-02-04 23:26:05.770: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13824) 2021-02-04 23:26:07.227: INFO @metrics_hook: valid age_mae: 9.896 +-0.289 (3986) 2021-02-04 23:26:07.227: INFO @metrics_hook: valid gender_accuracy: 0.848 +-0.011 (3986) 2021-02-04 23:26:08.615: INFO @decay_lr : LR updated to `0.00020190375` 2021-02-04 23:26:08.616: INFO @log_profile : T train: 12.815066 2021-02-04 23:26:08.616: INFO @log_profile : T valid: 1.664516 2021-02-04 23:26:08.616: INFO @log_profile : T read data: 0.392067 2021-02-04 23:26:08.616: INFO @log_profile : T hooks: 3.443807 2021-02-04 23:26:08.616: INFO @main_loop : Epoch 79 done 2021-02-04 23:26:08.616: INFO @main_loop : Training epoch 80 2021-02-04 23:26:24.817: INFO @log_variables: train loss nanmean: 1.574303 2021-02-04 23:26:24.818: INFO @log_variables: train age_loss mean: 11.947469 2021-02-04 23:26:24.818: INFO @log_variables: train gender_loss mean: 0.398284 2021-02-04 23:26:24.818: INFO @log_variables: train age_mae mean: 11.295995 2021-02-04 23:26:24.818: INFO @log_variables: train gender_accuracy mean: 0.817130 2021-02-04 23:26:24.818: INFO @log_variables: train gender_confidence/loss nanmean: 0.074962 2021-02-04 23:26:24.818: INFO @log_variables: train gender_confidence/accuracy mean: 0.731337 2021-02-04 23:26:24.818: INFO @log_variables: train age_confidence/loss mean: 0.051131 2021-02-04 23:26:24.818: INFO @log_variables: train age_confidence/accuracy mean: 0.717159 2021-02-04 23:26:24.818: INFO @log_variables: valid loss nanmean: 1.439597 2021-02-04 23:26:24.818: INFO @log_variables: valid age_loss mean: 10.892494 2021-02-04 23:26:24.818: INFO @log_variables: valid gender_loss mean: 0.347831 2021-02-04 23:26:24.818: INFO @log_variables: valid age_mae mean: 10.240636 2021-02-04 23:26:24.818: INFO @log_variables: valid gender_accuracy mean: 0.849975 2021-02-04 23:26:24.818: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074527 2021-02-04 23:26:24.818: INFO @log_variables: valid gender_confidence/accuracy mean: 0.783241 2021-02-04 23:26:24.818: INFO @log_variables: valid age_confidence/loss mean: 0.058634 2021-02-04 23:26:24.818: INFO @log_variables: valid age_confidence/accuracy mean: 0.662569 2021-02-04 23:26:24.819: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:26:24.820: INFO @metrics_hook: train age_mae: 11.296 +-0.173 (13824) 2021-02-04 23:26:24.822: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13824) 2021-02-04 23:26:26.274: INFO @metrics_hook: valid age_mae: 10.241 +-0.295 (3986) 2021-02-04 23:26:26.274: INFO @metrics_hook: valid gender_accuracy: 0.850 +-0.011 (3986) 2021-02-04 23:26:27.511: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:26:27.511: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.20 2021-02-04 23:26:27.511: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.14 2021-02-04 23:26:27.511: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.20 2021-02-04 23:26:27.595: INFO @evaluate_confidence: Previous accuracy would be: 81.71 2021-02-04 23:26:27.595: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:26:27.599: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.33, 88.72, 89.09, 89.51, 89.9, 90.21, 90.67, 91.0, 91.26, 91.56, 91.83, 92.19, 92.53, 92.96, 93.34, 93.71, 93.88] 2021-02-04 23:26:27.599: INFO @evaluate_confidence: Dropped ratios are: [30.74, 32.48, 34.17, 35.94, 37.83, 39.4, 41.06, 42.51, 43.95, 45.55, 47.23, 48.99, 50.49, 51.92, 53.54, 55.06, 56.39] 2021-02-04 23:26:27.605: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:26:27.605: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:26:27.605: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:26:27.605: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.16 2021-02-04 23:26:27.690: INFO @evaluate_confidence: Previous accuracy would be: 33.12 2021-02-04 23:26:27.691: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:26:27.693: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [43.82, 45.43, 47.06, 48.31, 50.21, 51.91, 53.17, 55.16, 57.11, 58.69, 60.41] 2021-02-04 23:26:27.693: INFO @evaluate_confidence: Dropped ratios are: [56.29, 60.29, 63.71, 66.86, 69.6, 71.98, 73.91, 75.95, 77.91, 79.44, 81.0] 2021-02-04 23:26:27.695: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:26:27.695: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.19 2021-02-04 23:26:27.695: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.14 2021-02-04 23:26:27.695: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.20 2021-02-04 23:26:27.762: INFO @evaluate_confidence: Previous accuracy would be: 85.00 2021-02-04 23:26:27.763: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-04 23:26:27.764: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.36, 91.82, 92.02, 92.34, 92.88, 93.07, 93.53, 93.83, 93.98, 94.07, 94.46, 94.73, 94.95, 95.04, 95.12, 95.17, 95.36, 95.61, 96.01] 2021-02-04 23:26:27.764: INFO @evaluate_confidence: Dropped ratios are: [27.4, 29.15, 30.83, 32.49, 34.14, 35.55, 37.23, 38.56, 39.94, 40.74, 42.05, 43.38, 44.86, 45.89, 47.09, 48.02, 49.17, 50.33, 51.61] 2021-02-04 23:26:27.766: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:26:27.766: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.18 2021-02-04 23:26:27.766: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.11 2021-02-04 23:26:27.766: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.14 2021-02-04 23:26:27.858: INFO @evaluate_confidence: Previous accuracy would be: 36.20 2021-02-04 23:26:27.858: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:26:27.859: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.89, 45.55, 46.95, 48.53, 49.52, 50.57, 52.58] 2021-02-04 23:26:27.859: INFO @evaluate_confidence: Dropped ratios are: [58.98, 63.1, 67.13, 71.0, 73.81, 75.99, 78.1] 2021-02-04 23:26:27.868: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:26:28.195: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:26:28.254: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:26:28.492: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:26:28.549: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:26:28.888: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:26:28.946: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:26:28.947: INFO @evaluate_gender-age_model: groups 0 10.065007 1 12.423787 2 11.542701 3 9.356809 4 9.589290 5 11.025940 6 13.009564 7 13.251617 Name: errors, dtype: float64 2021-02-04 23:26:28.947: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:26:29.191: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:26:29.247: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:26:29.247: INFO @evaluate_gender-age_model: groups 0 9.729231 1 10.548106 2 9.810873 3 8.963492 4 9.595856 5 10.740734 6 11.927619 7 12.159102 Name: errors, dtype: float64 2021-02-04 23:26:29.351: INFO @decay_lr : LR updated to `0.00020089422` 2021-02-04 23:26:29.352: INFO @log_profile : T train: 13.006768 2021-02-04 23:26:29.353: INFO @log_profile : T valid: 1.592085 2021-02-04 23:26:29.353: INFO @log_profile : T read data: 0.399585 2021-02-04 23:26:29.353: INFO @log_profile : T hooks: 5.689004 2021-02-04 23:26:29.353: INFO @main_loop : Epoch 80 done 2021-02-04 23:26:29.353: INFO @main_loop : Training epoch 81 2021-02-04 23:26:44.397: INFO @log_variables: train loss nanmean: 1.582163 2021-02-04 23:26:44.397: INFO @log_variables: train age_loss mean: 12.011009 2021-02-04 23:26:44.397: INFO @log_variables: train gender_loss mean: 0.401034 2021-02-04 23:26:44.397: INFO @log_variables: train age_mae mean: 11.357683 2021-02-04 23:26:44.398: INFO @log_variables: train gender_accuracy mean: 0.816253 2021-02-04 23:26:44.398: INFO @log_variables: train gender_confidence/loss nanmean: 0.074560 2021-02-04 23:26:44.398: INFO @log_variables: train gender_confidence/accuracy mean: 0.736945 2021-02-04 23:26:44.398: INFO @log_variables: train age_confidence/loss mean: 0.051116 2021-02-04 23:26:44.398: INFO @log_variables: train age_confidence/accuracy mean: 0.715651 2021-02-04 23:26:44.398: INFO @log_variables: valid loss nanmean: 1.418838 2021-02-04 23:26:44.398: INFO @log_variables: valid age_loss mean: 10.760279 2021-02-04 23:26:44.398: INFO @log_variables: valid gender_loss mean: 0.342680 2021-02-04 23:26:44.398: INFO @log_variables: valid age_mae mean: 10.116880 2021-02-04 23:26:44.398: INFO @log_variables: valid gender_accuracy mean: 0.842198 2021-02-04 23:26:44.398: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071083 2021-02-04 23:26:44.398: INFO @log_variables: valid gender_confidence/accuracy mean: 0.797291 2021-02-04 23:26:44.398: INFO @log_variables: valid age_confidence/loss mean: 0.058020 2021-02-04 23:26:44.398: INFO @log_variables: valid age_confidence/accuracy mean: 0.665580 2021-02-04 23:26:44.398: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:26:44.400: INFO @metrics_hook: train age_mae: 11.358 +-0.174 (13807) 2021-02-04 23:26:44.401: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13807) 2021-02-04 23:26:45.860: INFO @metrics_hook: valid age_mae: 10.117 +-0.290 (3986) 2021-02-04 23:26:45.861: INFO @metrics_hook: valid gender_accuracy: 0.842 +-0.012 (3986) 2021-02-04 23:26:47.189: INFO @decay_lr : LR updated to `0.00019988975` 2021-02-04 23:26:47.190: INFO @log_profile : T train: 12.447609 2021-02-04 23:26:47.190: INFO @log_profile : T valid: 1.444338 2021-02-04 23:26:47.190: INFO @log_profile : T read data: 0.518536 2021-02-04 23:26:47.190: INFO @log_profile : T hooks: 3.381061 2021-02-04 23:26:47.190: INFO @main_loop : Epoch 81 done 2021-02-04 23:26:47.190: INFO @main_loop : Training epoch 82 2021-02-04 23:27:02.839: INFO @log_variables: train loss nanmean: 1.569350 2021-02-04 23:27:02.840: INFO @log_variables: train age_loss mean: 11.872478 2021-02-04 23:27:02.842: INFO @log_variables: train gender_loss mean: 0.399511 2021-02-04 23:27:02.842: INFO @log_variables: train age_mae mean: 11.221803 2021-02-04 23:27:02.842: INFO @log_variables: train gender_accuracy mean: 0.818938 2021-02-04 23:27:02.842: INFO @log_variables: train gender_confidence/loss nanmean: 0.075141 2021-02-04 23:27:02.842: INFO @log_variables: train gender_confidence/accuracy mean: 0.727937 2021-02-04 23:27:02.842: INFO @log_variables: train age_confidence/loss mean: 0.051702 2021-02-04 23:27:02.842: INFO @log_variables: train age_confidence/accuracy mean: 0.708044 2021-02-04 23:27:02.842: INFO @log_variables: valid loss nanmean: 1.415598 2021-02-04 23:27:02.842: INFO @log_variables: valid age_loss mean: 10.520310 2021-02-04 23:27:02.842: INFO @log_variables: valid gender_loss mean: 0.362768 2021-02-04 23:27:02.842: INFO @log_variables: valid age_mae mean: 9.884845 2021-02-04 23:27:02.842: INFO @log_variables: valid gender_accuracy mean: 0.833668 2021-02-04 23:27:02.842: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071417 2021-02-04 23:27:02.843: INFO @log_variables: valid gender_confidence/accuracy mean: 0.803061 2021-02-04 23:27:02.843: INFO @log_variables: valid age_confidence/loss mean: 0.058000 2021-02-04 23:27:02.843: INFO @log_variables: valid age_confidence/accuracy mean: 0.657050 2021-02-04 23:27:02.843: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:27:02.844: INFO @metrics_hook: train age_mae: 11.222 +-0.172 (13824) 2021-02-04 23:27:02.846: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-02-04 23:27:04.280: INFO @metrics_hook: valid age_mae: 9.885 +-0.282 (3986) 2021-02-04 23:27:04.280: INFO @metrics_hook: valid gender_accuracy: 0.834 +-0.012 (3986) 2021-02-04 23:27:05.545: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:27:05.545: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:27:05.545: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:27:05.545: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.20 2021-02-04 23:27:05.632: INFO @evaluate_confidence: Previous accuracy would be: 81.89 2021-02-04 23:27:05.633: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:27:05.636: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.5, 88.99, 89.51, 89.75, 89.96, 90.4, 90.89, 91.14, 91.33, 91.56, 91.93, 92.27, 92.54, 92.84, 93.0, 93.37, 93.64, 93.92] 2021-02-04 23:27:05.637: INFO @evaluate_confidence: Dropped ratios are: [30.95, 32.71, 34.33, 35.93, 37.53, 39.19, 40.69, 42.25, 43.74, 45.18, 46.69, 48.05, 49.3, 50.82, 52.34, 53.71, 55.06, 56.47] 2021-02-04 23:27:05.642: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:27:05.642: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.20 2021-02-04 23:27:05.642: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:27:05.643: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.15 2021-02-04 23:27:05.732: INFO @evaluate_confidence: Previous accuracy would be: 33.69 2021-02-04 23:27:05.732: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:27:05.735: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.57, 46.08, 47.45, 48.72, 50.32, 51.65, 53.57, 55.41, 56.71, 58.31, 59.61] 2021-02-04 23:27:05.735: INFO @evaluate_confidence: Dropped ratios are: [53.88, 58.13, 61.92, 65.27, 68.16, 70.62, 73.13, 75.39, 77.26, 79.02, 80.46] 2021-02-04 23:27:05.737: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:27:05.737: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.18 2021-02-04 23:27:05.737: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.14 2021-02-04 23:27:05.737: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.19 2021-02-04 23:27:05.808: INFO @evaluate_confidence: Previous accuracy would be: 83.37 2021-02-04 23:27:05.809: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:27:05.810: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.97, 90.32, 90.65, 90.95, 91.09, 91.67, 91.88, 92.33, 92.67, 92.95, 93.33, 93.59, 93.92, 94.2, 94.61, 94.86, 95.16, 95.41, 95.54, 95.74] 2021-02-04 23:27:05.810: INFO @evaluate_confidence: Dropped ratios are: [24.99, 26.62, 28.1, 29.6, 31.03, 32.84, 33.87, 35.52, 37.0, 38.41, 39.79, 40.87, 42.22, 43.3, 45.08, 46.31, 47.69, 49.22, 50.45, 51.68] 2021-02-04 23:27:05.812: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:27:05.812: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.44 +- 0.17 2021-02-04 23:27:05.812: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:27:05.812: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.13 2021-02-04 23:27:05.905: INFO @evaluate_confidence: Previous accuracy would be: 36.73 2021-02-04 23:27:05.906: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43] 2021-02-04 23:27:05.907: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.38, 47.65, 48.51, 49.77, 50.38, 51.51, 52.71] 2021-02-04 23:27:05.907: INFO @evaluate_confidence: Dropped ratios are: [54.94, 59.41, 62.92, 66.63, 69.92, 73.36, 75.97] 2021-02-04 23:27:05.916: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:27:06.246: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:27:06.302: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:27:06.547: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:27:06.703: INFO @decay_lr : LR updated to `0.0001988903` 2021-02-04 23:27:06.704: INFO @log_profile : T train: 12.954809 2021-02-04 23:27:06.704: INFO @log_profile : T valid: 1.640759 2021-02-04 23:27:06.704: INFO @log_profile : T read data: 0.406671 2021-02-04 23:27:06.704: INFO @log_profile : T hooks: 4.462557 2021-02-04 23:27:06.704: INFO @main_loop : Epoch 82 done 2021-02-04 23:27:06.704: INFO @main_loop : Training epoch 83 2021-02-04 23:27:22.320: INFO @log_variables: train loss nanmean: 1.561861 2021-02-04 23:27:22.320: INFO @log_variables: train age_loss mean: 11.782079 2021-02-04 23:27:22.320: INFO @log_variables: train gender_loss mean: 0.399850 2021-02-04 23:27:22.321: INFO @log_variables: train age_mae mean: 11.133409 2021-02-04 23:27:22.321: INFO @log_variables: train gender_accuracy mean: 0.817853 2021-02-04 23:27:22.321: INFO @log_variables: train gender_confidence/loss nanmean: 0.075497 2021-02-04 23:27:22.321: INFO @log_variables: train gender_confidence/accuracy mean: 0.725911 2021-02-04 23:27:22.321: INFO @log_variables: train age_confidence/loss mean: 0.051766 2021-02-04 23:27:22.321: INFO @log_variables: train age_confidence/accuracy mean: 0.709708 2021-02-04 23:27:22.321: INFO @log_variables: valid loss nanmean: 1.397667 2021-02-04 23:27:22.321: INFO @log_variables: valid age_loss mean: 10.580173 2021-02-04 23:27:22.321: INFO @log_variables: valid gender_loss mean: 0.339141 2021-02-04 23:27:22.321: INFO @log_variables: valid age_mae mean: 9.939260 2021-02-04 23:27:22.321: INFO @log_variables: valid gender_accuracy mean: 0.847717 2021-02-04 23:27:22.321: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070793 2021-02-04 23:27:22.321: INFO @log_variables: valid gender_confidence/accuracy mean: 0.800552 2021-02-04 23:27:22.321: INFO @log_variables: valid age_confidence/loss mean: 0.056731 2021-02-04 23:27:22.321: INFO @log_variables: valid age_confidence/accuracy mean: 0.667837 2021-02-04 23:27:22.321: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:27:22.323: INFO @metrics_hook: train age_mae: 11.133 +-0.174 (13824) 2021-02-04 23:27:22.325: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-02-04 23:27:23.754: INFO @metrics_hook: valid age_mae: 9.939 +-0.284 (3986) 2021-02-04 23:27:23.755: INFO @metrics_hook: valid gender_accuracy: 0.848 +-0.011 (3986) 2021-02-04 23:27:29.278: INFO @decay_lr : LR updated to `0.00019789585` 2021-02-04 23:27:29.279: INFO @log_profile : T train: 12.952302 2021-02-04 23:27:29.279: INFO @log_profile : T valid: 1.596764 2021-02-04 23:27:29.279: INFO @log_profile : T read data: 0.409854 2021-02-04 23:27:29.279: INFO @log_profile : T hooks: 7.566704 2021-02-04 23:27:29.279: INFO @main_loop : Epoch 83 done 2021-02-04 23:27:29.280: INFO @main_loop : Training epoch 84 2021-02-04 23:27:44.536: INFO @log_variables: train loss nanmean: 1.569502 2021-02-04 23:27:44.536: INFO @log_variables: train age_loss mean: 11.823351 2021-02-04 23:27:44.536: INFO @log_variables: train gender_loss mean: 0.404107 2021-02-04 23:27:44.536: INFO @log_variables: train age_mae mean: 11.175554 2021-02-04 23:27:44.536: INFO @log_variables: train gender_accuracy mean: 0.816325 2021-02-04 23:27:44.536: INFO @log_variables: train gender_confidence/loss nanmean: 0.075614 2021-02-04 23:27:44.536: INFO @log_variables: train gender_confidence/accuracy mean: 0.727964 2021-02-04 23:27:44.536: INFO @log_variables: train age_confidence/loss mean: 0.051668 2021-02-04 23:27:44.536: INFO @log_variables: train age_confidence/accuracy mean: 0.706815 2021-02-04 23:27:44.536: INFO @log_variables: valid loss nanmean: 1.386009 2021-02-04 23:27:44.536: INFO @log_variables: valid age_loss mean: 10.376416 2021-02-04 23:27:44.536: INFO @log_variables: valid gender_loss mean: 0.341227 2021-02-04 23:27:44.536: INFO @log_variables: valid age_mae mean: 9.746053 2021-02-04 23:27:44.536: INFO @log_variables: valid gender_accuracy mean: 0.851480 2021-02-04 23:27:44.536: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074489 2021-02-04 23:27:44.536: INFO @log_variables: valid gender_confidence/accuracy mean: 0.812092 2021-02-04 23:27:44.536: INFO @log_variables: valid age_confidence/loss mean: 0.058003 2021-02-04 23:27:44.536: INFO @log_variables: valid age_confidence/accuracy mean: 0.652283 2021-02-04 23:27:44.536: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:27:44.538: INFO @metrics_hook: train age_mae: 11.176 +-0.172 (13807) 2021-02-04 23:27:44.539: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13807) 2021-02-04 23:27:46.077: INFO @metrics_hook: valid age_mae: 9.746 +-0.282 (3986) 2021-02-04 23:27:46.078: INFO @metrics_hook: valid gender_accuracy: 0.851 +-0.011 (3986) 2021-02-04 23:27:47.420: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:27:47.420: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.68 +- 0.20 2021-02-04 23:27:47.420: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:27:47.420: INFO @evaluate_confidence: Average confidence of all samples 0.65 +- 0.20 2021-02-04 23:27:47.521: INFO @evaluate_confidence: Previous accuracy would be: 81.63 2021-02-04 23:27:47.521: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68] 2021-02-04 23:27:47.525: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.08, 88.51, 89.01, 89.35, 89.75, 90.05, 90.49, 90.86, 91.18, 91.45, 91.83, 92.13, 92.36, 92.68, 92.87, 93.12, 93.46] 2021-02-04 23:27:47.525: INFO @evaluate_confidence: Dropped ratios are: [30.87, 32.66, 34.74, 36.35, 38.17, 39.78, 41.26, 42.87, 44.67, 46.23, 47.71, 49.18, 50.81, 52.29, 53.57, 55.04, 56.71] 2021-02-04 23:27:47.531: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:27:47.531: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.20 2021-02-04 23:27:47.531: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:27:47.531: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.15 2021-02-04 23:27:47.631: INFO @evaluate_confidence: Previous accuracy would be: 33.45 2021-02-04 23:27:47.631: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:27:47.634: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.28, 45.57, 47.38, 48.79, 50.42, 51.76, 53.28, 54.26, 55.45, 57.21, 58.76] 2021-02-04 23:27:47.634: INFO @evaluate_confidence: Dropped ratios are: [54.05, 58.03, 61.93, 65.15, 67.91, 70.42, 72.96, 75.2, 77.03, 78.86, 80.37] 2021-02-04 23:27:47.636: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:27:47.636: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.18 2021-02-04 23:27:47.636: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.15 2021-02-04 23:27:47.636: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.19 2021-02-04 23:27:47.708: INFO @evaluate_confidence: Previous accuracy would be: 85.15 2021-02-04 23:27:47.709: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:27:47.710: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.08, 91.38, 91.6, 91.94, 92.24, 92.71, 92.86, 93.09, 93.34, 93.7, 94.04, 94.2, 94.38, 94.65, 94.74, 94.93, 95.13, 95.4, 95.52] 2021-02-04 23:27:47.710: INFO @evaluate_confidence: Dropped ratios are: [24.61, 26.12, 27.42, 29.0, 30.16, 31.51, 32.56, 33.97, 35.57, 37.08, 38.56, 39.86, 41.07, 42.37, 43.73, 45.11, 46.39, 47.69, 49.0] 2021-02-04 23:27:47.712: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:27:47.712: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:27:47.712: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:27:47.712: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:27:47.804: INFO @evaluate_confidence: Previous accuracy would be: 37.61 2021-02-04 23:27:47.804: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:27:47.805: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.33, 47.15, 48.55, 49.89, 50.39, 50.73, 51.82, 52.49, 53.48] 2021-02-04 23:27:47.805: INFO @evaluate_confidence: Dropped ratios are: [53.16, 57.28, 61.14, 64.75, 67.94, 70.92, 73.18, 75.34, 77.3] 2021-02-04 23:27:47.815: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:27:48.181: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:27:48.238: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:27:48.493: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:27:48.654: INFO @decay_lr : LR updated to `0.00019690637` 2021-02-04 23:27:48.878: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:27:48.880: INFO @log_profile : T train: 12.535469 2021-02-04 23:27:48.880: INFO @log_profile : T valid: 1.587317 2021-02-04 23:27:48.880: INFO @log_profile : T read data: 0.503593 2021-02-04 23:27:48.880: INFO @log_profile : T hooks: 4.927020 2021-02-04 23:27:48.880: INFO @main_loop : Epoch 84 done 2021-02-04 23:27:48.880: INFO @main_loop : Training epoch 85 2021-02-04 23:28:04.331: INFO @log_variables: train loss nanmean: 1.558582 2021-02-04 23:28:04.331: INFO @log_variables: train age_loss mean: 11.734486 2021-02-04 23:28:04.332: INFO @log_variables: train gender_loss mean: 0.400861 2021-02-04 23:28:04.332: INFO @log_variables: train age_mae mean: 11.089863 2021-02-04 23:28:04.332: INFO @log_variables: train gender_accuracy mean: 0.819734 2021-02-04 23:28:04.332: INFO @log_variables: train gender_confidence/loss nanmean: 0.074754 2021-02-04 23:28:04.332: INFO @log_variables: train gender_confidence/accuracy mean: 0.734737 2021-02-04 23:28:04.332: INFO @log_variables: train age_confidence/loss mean: 0.052638 2021-02-04 23:28:04.332: INFO @log_variables: train age_confidence/accuracy mean: 0.703125 2021-02-04 23:28:04.332: INFO @log_variables: valid loss nanmean: 1.441405 2021-02-04 23:28:04.332: INFO @log_variables: valid age_loss mean: 10.629493 2021-02-04 23:28:04.332: INFO @log_variables: valid gender_loss mean: 0.381779 2021-02-04 23:28:04.332: INFO @log_variables: valid age_mae mean: 9.994430 2021-02-04 23:28:04.332: INFO @log_variables: valid gender_accuracy mean: 0.826392 2021-02-04 23:28:04.332: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072259 2021-02-04 23:28:04.332: INFO @log_variables: valid gender_confidence/accuracy mean: 0.797541 2021-02-04 23:28:04.332: INFO @log_variables: valid age_confidence/loss mean: 0.055757 2021-02-04 23:28:04.332: INFO @log_variables: valid age_confidence/accuracy mean: 0.674360 2021-02-04 23:28:04.332: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:28:04.334: INFO @metrics_hook: train age_mae: 11.090 +-0.173 (13824) 2021-02-04 23:28:04.336: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-02-04 23:28:05.780: INFO @metrics_hook: valid age_mae: 9.994 +-0.279 (3986) 2021-02-04 23:28:05.780: INFO @metrics_hook: valid gender_accuracy: 0.826 +-0.012 (3986) 2021-02-04 23:28:07.121: INFO @decay_lr : LR updated to `0.00019592184` 2021-02-04 23:28:07.122: INFO @log_profile : T train: 12.814412 2021-02-04 23:28:07.122: INFO @log_profile : T valid: 1.593557 2021-02-04 23:28:07.122: INFO @log_profile : T read data: 0.399959 2021-02-04 23:28:07.122: INFO @log_profile : T hooks: 3.386238 2021-02-04 23:28:07.122: INFO @main_loop : Epoch 85 done 2021-02-04 23:28:07.122: INFO @main_loop : Training epoch 86 2021-02-04 23:28:22.659: INFO @log_variables: train loss nanmean: 1.561414 2021-02-04 23:28:22.659: INFO @log_variables: train age_loss mean: 11.854993 2021-02-04 23:28:22.659: INFO @log_variables: train gender_loss mean: 0.392963 2021-02-04 23:28:22.659: INFO @log_variables: train age_mae mean: 11.210399 2021-02-04 23:28:22.659: INFO @log_variables: train gender_accuracy mean: 0.823483 2021-02-04 23:28:22.659: INFO @log_variables: train gender_confidence/loss nanmean: 0.075074 2021-02-04 23:28:22.659: INFO @log_variables: train gender_confidence/accuracy mean: 0.732764 2021-02-04 23:28:22.659: INFO @log_variables: train age_confidence/loss mean: 0.051374 2021-02-04 23:28:22.660: INFO @log_variables: train age_confidence/accuracy mean: 0.713159 2021-02-04 23:28:22.660: INFO @log_variables: valid loss nanmean: 1.406269 2021-02-04 23:28:22.660: INFO @log_variables: valid age_loss mean: 10.551940 2021-02-04 23:28:22.660: INFO @log_variables: valid gender_loss mean: 0.352576 2021-02-04 23:28:22.660: INFO @log_variables: valid age_mae mean: 9.922742 2021-02-04 23:28:22.660: INFO @log_variables: valid gender_accuracy mean: 0.841194 2021-02-04 23:28:22.660: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071419 2021-02-04 23:28:22.660: INFO @log_variables: valid gender_confidence/accuracy mean: 0.814601 2021-02-04 23:28:22.660: INFO @log_variables: valid age_confidence/loss mean: 0.055059 2021-02-04 23:28:22.660: INFO @log_variables: valid age_confidence/accuracy mean: 0.677120 2021-02-04 23:28:22.660: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:28:22.662: INFO @metrics_hook: train age_mae: 11.210 +-0.173 (13823) 2021-02-04 23:28:22.663: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13823) 2021-02-04 23:28:24.109: INFO @metrics_hook: valid age_mae: 9.923 +-0.277 (3986) 2021-02-04 23:28:24.110: INFO @metrics_hook: valid gender_accuracy: 0.841 +-0.012 (3986) 2021-02-04 23:28:25.351: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:28:25.351: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:28:25.351: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:28:25.351: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.20 2021-02-04 23:28:25.432: INFO @evaluate_confidence: Previous accuracy would be: 82.35 2021-02-04 23:28:25.432: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:28:25.436: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [88.95, 89.35, 89.64, 89.94, 90.33, 90.54, 91.05, 91.29, 91.63, 92.06, 92.37, 92.79, 93.05, 93.42, 93.59, 93.81, 94.09, 94.42] 2021-02-04 23:28:25.436: INFO @evaluate_confidence: Dropped ratios are: [30.4, 32.15, 33.95, 35.42, 37.0, 38.62, 40.22, 41.84, 43.47, 44.87, 46.45, 47.94, 49.29, 50.78, 52.22, 53.48, 54.81, 56.32] 2021-02-04 23:28:25.442: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:28:25.442: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:28:25.442: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:28:25.442: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.16 2021-02-04 23:28:25.525: INFO @evaluate_confidence: Previous accuracy would be: 33.61 2021-02-04 23:28:25.525: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:28:25.528: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.05, 46.12, 47.77, 49.42, 50.79, 52.1, 53.49, 55.02, 56.8, 58.36, 59.68] 2021-02-04 23:28:25.528: INFO @evaluate_confidence: Dropped ratios are: [55.16, 58.81, 62.44, 65.59, 68.36, 70.56, 72.75, 74.65, 76.74, 78.62, 80.01] 2021-02-04 23:28:25.529: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:28:25.530: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.18 2021-02-04 23:28:25.530: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.14 2021-02-04 23:28:25.530: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.19 2021-02-04 23:28:25.598: INFO @evaluate_confidence: Previous accuracy would be: 84.12 2021-02-04 23:28:25.599: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:28:25.600: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.8, 91.27, 91.42, 91.71, 92.06, 92.57, 93.03, 93.44, 93.62, 93.79, 94.11, 94.47, 94.57, 94.74, 95.04, 95.28, 95.64, 95.83, 96.12, 96.28] 2021-02-04 23:28:25.600: INFO @evaluate_confidence: Dropped ratios are: [24.49, 25.87, 27.45, 28.55, 30.16, 31.81, 33.09, 34.65, 35.95, 37.41, 38.71, 40.12, 41.37, 42.72, 44.38, 45.84, 47.09, 48.29, 49.57, 50.78] 2021-02-04 23:28:25.602: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:28:25.602: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.18 2021-02-04 23:28:25.602: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:28:25.602: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:28:25.692: INFO @evaluate_confidence: Previous accuracy would be: 35.35 2021-02-04 23:28:25.692: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:28:25.693: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.52, 46.38, 47.98, 49.66, 50.25, 51.63, 52.82, 53.96, 55.38] 2021-02-04 23:28:25.693: INFO @evaluate_confidence: Dropped ratios are: [53.49, 58.4, 62.82, 67.26, 69.94, 73.13, 75.54, 77.5, 79.7] 2021-02-04 23:28:25.702: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:28:26.035: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:28:26.094: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:28:26.335: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:28:26.486: INFO @decay_lr : LR updated to `0.00019494223` 2021-02-04 23:28:26.487: INFO @log_profile : T train: 12.895192 2021-02-04 23:28:26.487: INFO @log_profile : T valid: 1.606947 2021-02-04 23:28:26.487: INFO @log_profile : T read data: 0.397349 2021-02-04 23:28:26.487: INFO @log_profile : T hooks: 4.416728 2021-02-04 23:28:26.487: INFO @main_loop : Epoch 86 done 2021-02-04 23:28:26.487: INFO @main_loop : Training epoch 87 2021-02-04 23:28:41.375: INFO @log_variables: train loss nanmean: 1.562369 2021-02-04 23:28:41.375: INFO @log_variables: train age_loss mean: 11.857618 2021-02-04 23:28:41.375: INFO @log_variables: train gender_loss mean: 0.393943 2021-02-04 23:28:41.375: INFO @log_variables: train age_mae mean: 11.210962 2021-02-04 23:28:41.375: INFO @log_variables: train gender_accuracy mean: 0.819439 2021-02-04 23:28:41.375: INFO @log_variables: train gender_confidence/loss nanmean: 0.074530 2021-02-04 23:28:41.375: INFO @log_variables: train gender_confidence/accuracy mean: 0.735641 2021-02-04 23:28:41.375: INFO @log_variables: train age_confidence/loss mean: 0.051743 2021-02-04 23:28:41.375: INFO @log_variables: train age_confidence/accuracy mean: 0.710509 2021-02-04 23:28:41.375: INFO @log_variables: valid loss nanmean: 1.391637 2021-02-04 23:28:41.375: INFO @log_variables: valid age_loss mean: 10.525168 2021-02-04 23:28:41.375: INFO @log_variables: valid gender_loss mean: 0.333967 2021-02-04 23:28:41.375: INFO @log_variables: valid age_mae mean: 9.886415 2021-02-04 23:28:41.376: INFO @log_variables: valid gender_accuracy mean: 0.853236 2021-02-04 23:28:41.376: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072171 2021-02-04 23:28:41.376: INFO @log_variables: valid gender_confidence/accuracy mean: 0.789262 2021-02-04 23:28:41.376: INFO @log_variables: valid age_confidence/loss mean: 0.059026 2021-02-04 23:28:41.376: INFO @log_variables: valid age_confidence/accuracy mean: 0.651530 2021-02-04 23:28:41.376: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:28:41.378: INFO @metrics_hook: train age_mae: 11.211 +-0.175 (13807) 2021-02-04 23:28:41.379: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13807) 2021-02-04 23:28:42.854: INFO @metrics_hook: valid age_mae: 9.886 +-0.290 (3986) 2021-02-04 23:28:42.855: INFO @metrics_hook: valid gender_accuracy: 0.853 +-0.011 (3986) 2021-02-04 23:28:44.222: INFO @decay_lr : LR updated to `0.00019396751` 2021-02-04 23:28:44.442: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:28:44.444: INFO @log_profile : T train: 12.404744 2021-02-04 23:28:44.444: INFO @log_profile : T valid: 1.350774 2021-02-04 23:28:44.444: INFO @log_profile : T read data: 0.499364 2021-02-04 23:28:44.444: INFO @log_profile : T hooks: 3.656728 2021-02-04 23:28:44.444: INFO @main_loop : Epoch 87 done 2021-02-04 23:28:44.444: INFO @main_loop : Training epoch 88 2021-02-04 23:28:59.940: INFO @log_variables: train loss nanmean: 1.535856 2021-02-04 23:28:59.941: INFO @log_variables: train age_loss mean: 11.699879 2021-02-04 23:28:59.941: INFO @log_variables: train gender_loss mean: 0.380498 2021-02-04 23:28:59.941: INFO @log_variables: train age_mae mean: 11.056690 2021-02-04 23:28:59.941: INFO @log_variables: train gender_accuracy mean: 0.826751 2021-02-04 23:28:59.941: INFO @log_variables: train gender_confidence/loss nanmean: 0.073842 2021-02-04 23:28:59.941: INFO @log_variables: train gender_confidence/accuracy mean: 0.741319 2021-02-04 23:28:59.941: INFO @log_variables: train age_confidence/loss mean: 0.052481 2021-02-04 23:28:59.941: INFO @log_variables: train age_confidence/accuracy mean: 0.701823 2021-02-04 23:28:59.941: INFO @log_variables: valid loss nanmean: 1.390896 2021-02-04 23:28:59.941: INFO @log_variables: valid age_loss mean: 10.533514 2021-02-04 23:28:59.941: INFO @log_variables: valid gender_loss mean: 0.335362 2021-02-04 23:28:59.941: INFO @log_variables: valid age_mae mean: 9.902126 2021-02-04 23:28:59.941: INFO @log_variables: valid gender_accuracy mean: 0.852484 2021-02-04 23:28:59.941: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071636 2021-02-04 23:28:59.941: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809333 2021-02-04 23:28:59.941: INFO @log_variables: valid age_confidence/loss mean: 0.056793 2021-02-04 23:28:59.941: INFO @log_variables: valid age_confidence/accuracy mean: 0.674109 2021-02-04 23:28:59.941: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:28:59.943: INFO @metrics_hook: train age_mae: 11.057 +-0.173 (13824) 2021-02-04 23:28:59.945: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-02-04 23:29:01.406: INFO @metrics_hook: valid age_mae: 9.902 +-0.283 (3986) 2021-02-04 23:29:01.407: INFO @metrics_hook: valid gender_accuracy: 0.852 +-0.011 (3986) 2021-02-04 23:29:02.692: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:29:02.693: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:29:02.693: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:29:02.693: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.20 2021-02-04 23:29:02.771: INFO @evaluate_confidence: Previous accuracy would be: 82.68 2021-02-04 23:29:02.772: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:29:02.776: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.13, 89.52, 89.94, 90.31, 90.57, 91.0, 91.29, 91.63, 91.94, 92.36, 92.68, 92.9, 93.2, 93.49, 93.87, 94.21, 94.38, 94.7, 95.0] 2021-02-04 23:29:02.776: INFO @evaluate_confidence: Dropped ratios are: [28.68, 30.4, 31.94, 33.53, 35.03, 36.73, 38.29, 39.76, 41.23, 42.89, 44.43, 45.81, 47.06, 48.37, 49.75, 51.16, 52.42, 53.86, 55.27] 2021-02-04 23:29:02.782: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:29:02.782: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:29:02.782: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:29:02.782: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.16 2021-02-04 23:29:02.870: INFO @evaluate_confidence: Previous accuracy would be: 34.50 2021-02-04 23:29:02.871: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:29:02.873: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [44.81, 46.13, 47.29, 48.86, 50.23, 51.74, 53.24, 54.87, 56.53, 58.47, 59.71] 2021-02-04 23:29:02.873: INFO @evaluate_confidence: Dropped ratios are: [52.62, 56.64, 60.09, 63.56, 66.66, 69.39, 71.83, 74.1, 76.29, 78.18, 79.71] 2021-02-04 23:29:02.875: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:29:02.875: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.19 2021-02-04 23:29:02.875: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.15 2021-02-04 23:29:02.875: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.20 2021-02-04 23:29:02.950: INFO @evaluate_confidence: Previous accuracy would be: 85.25 2021-02-04 23:29:02.950: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:29:02.952: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.69, 92.13, 92.55, 92.65, 93.09, 93.43, 93.52, 93.88, 94.17, 94.39, 94.42, 94.64, 94.9, 95.17, 95.58, 95.72, 95.91, 96.21, 96.24, 96.59, 96.69] 2021-02-04 23:29:02.952: INFO @evaluate_confidence: Dropped ratios are: [24.26, 25.77, 27.22, 28.27, 29.6, 30.93, 32.24, 33.62, 35.05, 36.1, 37.05, 38.21, 39.54, 40.79, 42.15, 43.73, 44.81, 46.31, 47.29, 48.57, 49.97] 2021-02-04 23:29:02.953: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:29:02.954: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.18 2021-02-04 23:29:02.954: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:29:02.954: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:29:03.046: INFO @evaluate_confidence: Previous accuracy would be: 36.25 2021-02-04 23:29:03.047: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:29:03.048: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.06, 46.94, 48.17, 49.27, 50.7, 51.65, 53.13, 54.67, 56.4] 2021-02-04 23:29:03.048: INFO @evaluate_confidence: Dropped ratios are: [55.44, 59.86, 63.75, 67.46, 71.15, 74.16, 76.39, 78.52, 80.21] 2021-02-04 23:29:03.060: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:29:03.421: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:03.481: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:29:03.721: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:03.866: INFO @decay_lr : LR updated to `0.00019299767` 2021-02-04 23:29:03.867: INFO @log_profile : T train: 12.841379 2021-02-04 23:29:03.867: INFO @log_profile : T valid: 1.626699 2021-02-04 23:29:03.867: INFO @log_profile : T read data: 0.399445 2021-02-04 23:29:03.867: INFO @log_profile : T hooks: 4.508115 2021-02-04 23:29:03.867: INFO @main_loop : Epoch 88 done 2021-02-04 23:29:03.867: INFO @main_loop : Training epoch 89 2021-02-04 23:29:18.849: INFO @log_variables: train loss nanmean: 1.536578 2021-02-04 23:29:18.849: INFO @log_variables: train age_loss mean: 11.629004 2021-02-04 23:29:18.851: INFO @log_variables: train gender_loss mean: 0.387983 2021-02-04 23:29:18.851: INFO @log_variables: train age_mae mean: 10.989477 2021-02-04 23:29:18.851: INFO @log_variables: train gender_accuracy mean: 0.822338 2021-02-04 23:29:18.851: INFO @log_variables: train gender_confidence/loss nanmean: 0.074746 2021-02-04 23:29:18.851: INFO @log_variables: train gender_confidence/accuracy mean: 0.738643 2021-02-04 23:29:18.851: INFO @log_variables: train age_confidence/loss mean: 0.051938 2021-02-04 23:29:18.851: INFO @log_variables: train age_confidence/accuracy mean: 0.710648 2021-02-04 23:29:18.852: INFO @log_variables: valid loss nanmean: 1.403163 2021-02-04 23:29:18.852: INFO @log_variables: valid age_loss mean: 10.473943 2021-02-04 23:29:18.852: INFO @log_variables: valid gender_loss mean: 0.351079 2021-02-04 23:29:18.852: INFO @log_variables: valid age_mae mean: 9.843089 2021-02-04 23:29:18.852: INFO @log_variables: valid gender_accuracy mean: 0.840191 2021-02-04 23:29:18.852: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072449 2021-02-04 23:29:18.852: INFO @log_variables: valid gender_confidence/accuracy mean: 0.805319 2021-02-04 23:29:18.852: INFO @log_variables: valid age_confidence/loss mean: 0.059375 2021-02-04 23:29:18.852: INFO @log_variables: valid age_confidence/accuracy mean: 0.653537 2021-02-04 23:29:18.852: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:29:18.854: INFO @metrics_hook: train age_mae: 10.989 +-0.171 (13824) 2021-02-04 23:29:18.855: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-02-04 23:29:20.301: INFO @metrics_hook: valid age_mae: 9.843 +-0.287 (3986) 2021-02-04 23:29:20.301: INFO @metrics_hook: valid gender_accuracy: 0.840 +-0.012 (3986) 2021-02-04 23:29:21.657: INFO @decay_lr : LR updated to `0.00019203269` 2021-02-04 23:29:21.658: INFO @log_profile : T train: 12.470286 2021-02-04 23:29:21.658: INFO @log_profile : T valid: 1.484239 2021-02-04 23:29:21.658: INFO @log_profile : T read data: 0.401932 2021-02-04 23:29:21.658: INFO @log_profile : T hooks: 3.389568 2021-02-04 23:29:21.658: INFO @main_loop : Epoch 89 done 2021-02-04 23:29:21.658: INFO @main_loop : Training epoch 90 2021-02-04 23:29:37.874: INFO @log_variables: train loss nanmean: 1.530853 2021-02-04 23:29:37.874: INFO @log_variables: train age_loss mean: 11.562172 2021-02-04 23:29:37.874: INFO @log_variables: train gender_loss mean: 0.387606 2021-02-04 23:29:37.874: INFO @log_variables: train age_mae mean: 10.923863 2021-02-04 23:29:37.874: INFO @log_variables: train gender_accuracy mean: 0.825741 2021-02-04 23:29:37.874: INFO @log_variables: train gender_confidence/loss nanmean: 0.075405 2021-02-04 23:29:37.875: INFO @log_variables: train gender_confidence/accuracy mean: 0.735424 2021-02-04 23:29:37.875: INFO @log_variables: train age_confidence/loss mean: 0.051973 2021-02-04 23:29:37.875: INFO @log_variables: train age_confidence/accuracy mean: 0.708119 2021-02-04 23:29:37.875: INFO @log_variables: valid loss nanmean: 1.376567 2021-02-04 23:29:37.875: INFO @log_variables: valid age_loss mean: 10.393042 2021-02-04 23:29:37.875: INFO @log_variables: valid gender_loss mean: 0.329879 2021-02-04 23:29:37.875: INFO @log_variables: valid age_mae mean: 9.764020 2021-02-04 23:29:37.875: INFO @log_variables: valid gender_accuracy mean: 0.859257 2021-02-04 23:29:37.875: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072131 2021-02-04 23:29:37.875: INFO @log_variables: valid gender_confidence/accuracy mean: 0.789012 2021-02-04 23:29:37.875: INFO @log_variables: valid age_confidence/loss mean: 0.059725 2021-02-04 23:29:37.875: INFO @log_variables: valid age_confidence/accuracy mean: 0.650527 2021-02-04 23:29:37.875: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:29:37.877: INFO @metrics_hook: train age_mae: 10.924 +-0.170 (13807) 2021-02-04 23:29:37.878: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13807) 2021-02-04 23:29:39.261: INFO @metrics_hook: valid age_mae: 9.764 +-0.285 (3986) 2021-02-04 23:29:39.262: INFO @metrics_hook: valid gender_accuracy: 0.859 +-0.011 (3986) 2021-02-04 23:29:40.492: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:29:40.492: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:29:40.492: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:29:40.492: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.20 2021-02-04 23:29:40.576: INFO @evaluate_confidence: Previous accuracy would be: 82.57 2021-02-04 23:29:40.576: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:29:40.580: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.34, 89.71, 90.02, 90.38, 90.69, 90.95, 91.21, 91.51, 91.77, 92.23, 92.41, 92.61, 92.94, 93.29, 93.66, 93.93, 94.13, 94.26] 2021-02-04 23:29:40.580: INFO @evaluate_confidence: Dropped ratios are: [30.38, 31.97, 33.61, 35.22, 36.86, 38.36, 40.0, 41.48, 43.0, 44.56, 46.01, 47.49, 48.92, 50.34, 51.89, 53.23, 54.69, 55.99] 2021-02-04 23:29:40.586: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:29:40.586: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.21 2021-02-04 23:29:40.586: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:29:40.586: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.16 2021-02-04 23:29:40.671: INFO @evaluate_confidence: Previous accuracy would be: 34.27 2021-02-04 23:29:40.671: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:29:40.674: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [45.22, 46.67, 48.24, 50.14, 51.31, 53.27, 54.75, 55.94, 57.6, 59.01, 60.73] 2021-02-04 23:29:40.674: INFO @evaluate_confidence: Dropped ratios are: [54.12, 58.33, 61.76, 64.9, 67.62, 70.55, 72.93, 74.77, 76.43, 78.02, 79.62] 2021-02-04 23:29:40.676: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:29:40.676: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.19 2021-02-04 23:29:40.676: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.14 2021-02-04 23:29:40.676: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.20 2021-02-04 23:29:40.745: INFO @evaluate_confidence: Previous accuracy would be: 85.93 2021-02-04 23:29:40.746: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:29:40.747: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.03, 92.31, 92.64, 92.86, 93.06, 93.23, 93.73, 94.04, 94.38, 94.53, 94.77, 94.98, 95.28, 95.46, 95.75, 96.03, 96.26, 96.32, 96.4, 96.65] 2021-02-04 23:29:40.747: INFO @evaluate_confidence: Dropped ratios are: [26.37, 27.6, 29.1, 30.38, 31.69, 32.94, 34.35, 35.62, 37.1, 38.53, 39.54, 40.57, 42.02, 43.13, 44.56, 45.68, 46.94, 48.14, 49.2, 50.63] 2021-02-04 23:29:40.749: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:29:40.749: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:29:40.749: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:29:40.749: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:29:40.835: INFO @evaluate_confidence: Previous accuracy would be: 37.78 2021-02-04 23:29:40.835: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:29:40.836: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.17, 47.46, 48.32, 48.82, 51.09, 52.2, 53.0] 2021-02-04 23:29:40.836: INFO @evaluate_confidence: Dropped ratios are: [56.47, 60.04, 63.5, 66.91, 70.15, 72.6, 74.91] 2021-02-04 23:29:40.846: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:29:41.173: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:41.225: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:29:41.460: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:41.513: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:29:41.843: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:41.894: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:29:41.895: INFO @evaluate_gender-age_model: groups 0 9.856886 1 11.769457 2 10.581153 3 8.734330 4 9.946265 5 11.034714 6 13.042649 7 12.235638 Name: errors, dtype: float64 2021-02-04 23:29:41.895: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:29:42.140: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:29:42.190: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:29:42.191: INFO @evaluate_gender-age_model: groups 0 7.626123 1 9.052260 2 8.050910 3 7.911104 4 10.302817 5 11.816147 6 12.643708 7 11.549424 Name: errors, dtype: float64 2021-02-04 23:29:42.287: INFO @decay_lr : LR updated to `0.00019107253` 2021-02-04 23:29:42.478: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:29:42.479: INFO @log_profile : T train: 12.841554 2021-02-04 23:29:42.479: INFO @log_profile : T valid: 1.633303 2021-02-04 23:29:42.479: INFO @log_profile : T read data: 0.515757 2021-02-04 23:29:42.479: INFO @log_profile : T hooks: 5.782899 2021-02-04 23:29:42.479: INFO @main_loop : Epoch 90 done 2021-02-04 23:29:42.479: INFO @main_loop : Training epoch 91 2021-02-04 23:29:57.970: INFO @log_variables: train loss nanmean: 1.529566 2021-02-04 23:29:57.970: INFO @log_variables: train age_loss mean: 11.527480 2021-02-04 23:29:57.970: INFO @log_variables: train gender_loss mean: 0.390799 2021-02-04 23:29:57.970: INFO @log_variables: train age_mae mean: 10.887745 2021-02-04 23:29:57.970: INFO @log_variables: train gender_accuracy mean: 0.822483 2021-02-04 23:29:57.970: INFO @log_variables: train gender_confidence/loss nanmean: 0.073876 2021-02-04 23:29:57.970: INFO @log_variables: train gender_confidence/accuracy mean: 0.739366 2021-02-04 23:29:57.970: INFO @log_variables: train age_confidence/loss mean: 0.052465 2021-02-04 23:29:57.971: INFO @log_variables: train age_confidence/accuracy mean: 0.707176 2021-02-04 23:29:57.971: INFO @log_variables: valid loss nanmean: 1.366773 2021-02-04 23:29:57.971: INFO @log_variables: valid age_loss mean: 10.254565 2021-02-04 23:29:57.971: INFO @log_variables: valid gender_loss mean: 0.331765 2021-02-04 23:29:57.971: INFO @log_variables: valid age_mae mean: 9.622815 2021-02-04 23:29:57.971: INFO @log_variables: valid gender_accuracy mean: 0.857250 2021-02-04 23:29:57.971: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073749 2021-02-04 23:29:57.971: INFO @log_variables: valid gender_confidence/accuracy mean: 0.799548 2021-02-04 23:29:57.971: INFO @log_variables: valid age_confidence/loss mean: 0.059187 2021-02-04 23:29:57.971: INFO @log_variables: valid age_confidence/accuracy mean: 0.646513 2021-02-04 23:29:57.971: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:29:57.973: INFO @metrics_hook: train age_mae: 10.888 +-0.170 (13824) 2021-02-04 23:29:57.974: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.006 (13824) 2021-02-04 23:29:59.385: INFO @metrics_hook: valid age_mae: 9.623 +-0.282 (3986) 2021-02-04 23:29:59.386: INFO @metrics_hook: valid gender_accuracy: 0.857 +-0.011 (3986) 2021-02-04 23:30:00.724: INFO @decay_lr : LR updated to `0.00019011716` 2021-02-04 23:30:00.725: INFO @log_profile : T train: 12.919476 2021-02-04 23:30:00.725: INFO @log_profile : T valid: 1.529602 2021-02-04 23:30:00.725: INFO @log_profile : T read data: 0.397132 2021-02-04 23:30:00.725: INFO @log_profile : T hooks: 3.350387 2021-02-04 23:30:00.725: INFO @main_loop : Epoch 91 done 2021-02-04 23:30:00.725: INFO @main_loop : Training epoch 92 2021-02-04 23:30:16.329: INFO @log_variables: train loss nanmean: 1.513939 2021-02-04 23:30:16.329: INFO @log_variables: train age_loss mean: 11.425133 2021-02-04 23:30:16.329: INFO @log_variables: train gender_loss mean: 0.383061 2021-02-04 23:30:16.329: INFO @log_variables: train age_mae mean: 10.790111 2021-02-04 23:30:16.329: INFO @log_variables: train gender_accuracy mean: 0.826606 2021-02-04 23:30:16.329: INFO @log_variables: train gender_confidence/loss nanmean: 0.073964 2021-02-04 23:30:16.329: INFO @log_variables: train gender_confidence/accuracy mean: 0.737051 2021-02-04 23:30:16.330: INFO @log_variables: train age_confidence/loss mean: 0.053089 2021-02-04 23:30:16.330: INFO @log_variables: train age_confidence/accuracy mean: 0.694155 2021-02-04 23:30:16.330: INFO @log_variables: valid loss nanmean: 1.376374 2021-02-04 23:30:16.330: INFO @log_variables: valid age_loss mean: 10.390553 2021-02-04 23:30:16.330: INFO @log_variables: valid gender_loss mean: 0.330971 2021-02-04 23:30:16.330: INFO @log_variables: valid age_mae mean: 9.762246 2021-02-04 23:30:16.330: INFO @log_variables: valid gender_accuracy mean: 0.850728 2021-02-04 23:30:16.330: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073407 2021-02-04 23:30:16.330: INFO @log_variables: valid gender_confidence/accuracy mean: 0.808329 2021-02-04 23:30:16.330: INFO @log_variables: valid age_confidence/loss mean: 0.057488 2021-02-04 23:30:16.330: INFO @log_variables: valid age_confidence/accuracy mean: 0.659308 2021-02-04 23:30:16.330: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:30:16.332: INFO @metrics_hook: train age_mae: 10.790 +-0.169 (13824) 2021-02-04 23:30:16.334: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-02-04 23:30:17.745: INFO @metrics_hook: valid age_mae: 9.762 +-0.280 (3986) 2021-02-04 23:30:17.745: INFO @metrics_hook: valid gender_accuracy: 0.851 +-0.011 (3986) 2021-02-04 23:30:18.933: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:30:18.933: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:30:18.934: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.15 2021-02-04 23:30:18.934: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.20 2021-02-04 23:30:19.012: INFO @evaluate_confidence: Previous accuracy would be: 82.66 2021-02-04 23:30:19.012: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:30:19.016: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.24, 89.59, 89.88, 90.19, 90.63, 90.96, 91.33, 91.67, 91.87, 92.21, 92.62, 92.89, 93.06, 93.38, 93.67, 93.85, 94.17, 94.49] 2021-02-04 23:30:19.016: INFO @evaluate_confidence: Dropped ratios are: [29.98, 31.49, 33.07, 34.65, 36.39, 38.09, 39.61, 41.12, 42.54, 44.01, 45.51, 46.98, 48.28, 49.64, 51.11, 52.45, 53.81, 55.07] 2021-02-04 23:30:19.022: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:30:19.022: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.20 2021-02-04 23:30:19.022: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:30:19.022: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:30:19.109: INFO @evaluate_confidence: Previous accuracy would be: 35.37 2021-02-04 23:30:19.109: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:30:19.112: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.22, 47.73, 49.04, 50.37, 51.98, 53.54, 54.95, 56.28, 57.63, 59.27, 60.67] 2021-02-04 23:30:19.112: INFO @evaluate_confidence: Dropped ratios are: [52.77, 56.86, 60.28, 63.31, 66.42, 69.18, 71.58, 73.55, 75.6, 77.29, 78.88] 2021-02-04 23:30:19.113: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:30:19.113: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.19 2021-02-04 23:30:19.113: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.15 2021-02-04 23:30:19.114: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.20 2021-02-04 23:30:19.183: INFO @evaluate_confidence: Previous accuracy would be: 85.07 2021-02-04 23:30:19.183: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:30:19.184: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.88, 91.32, 91.72, 92.11, 92.49, 92.92, 93.31, 93.82, 94.19, 94.46, 94.77, 95.12, 95.44, 95.88, 96.24, 96.33, 96.61, 96.67, 96.92, 96.99, 97.31] 2021-02-04 23:30:19.184: INFO @evaluate_confidence: Dropped ratios are: [23.53, 25.14, 26.72, 28.42, 29.8, 30.91, 32.46, 33.82, 34.85, 36.2, 37.21, 38.33, 39.46, 40.87, 42.02, 43.23, 44.43, 45.79, 47.09, 48.34, 49.57] 2021-02-04 23:30:19.186: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:30:19.186: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:30:19.186: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.10 2021-02-04 23:30:19.186: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.13 2021-02-04 23:30:19.271: INFO @evaluate_confidence: Previous accuracy would be: 36.73 2021-02-04 23:30:19.271: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:30:19.272: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.03, 47.61, 48.38, 50.12, 51.13, 51.38, 52.37] 2021-02-04 23:30:19.272: INFO @evaluate_confidence: Dropped ratios are: [55.75, 60.69, 64.43, 68.31, 71.2, 73.68, 75.66] 2021-02-04 23:30:19.281: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:30:19.603: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:30:19.658: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:30:19.889: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:30:20.035: INFO @decay_lr : LR updated to `0.00018916657` 2021-02-04 23:30:20.036: INFO @log_profile : T train: 12.929590 2021-02-04 23:30:20.036: INFO @log_profile : T valid: 1.614206 2021-02-04 23:30:20.036: INFO @log_profile : T read data: 0.405541 2021-02-04 23:30:20.036: INFO @log_profile : T hooks: 4.311796 2021-02-04 23:30:20.036: INFO @main_loop : Epoch 92 done 2021-02-04 23:30:20.036: INFO @main_loop : Training epoch 93 2021-02-04 23:30:35.542: INFO @log_variables: train loss nanmean: 1.511027 2021-02-04 23:30:35.542: INFO @log_variables: train age_loss mean: 11.406051 2021-02-04 23:30:35.542: INFO @log_variables: train gender_loss mean: 0.381916 2021-02-04 23:30:35.542: INFO @log_variables: train age_mae mean: 10.770506 2021-02-04 23:30:35.542: INFO @log_variables: train gender_accuracy mean: 0.826610 2021-02-04 23:30:35.542: INFO @log_variables: train gender_confidence/loss nanmean: 0.074101 2021-02-04 23:30:35.542: INFO @log_variables: train gender_confidence/accuracy mean: 0.734265 2021-02-04 23:30:35.542: INFO @log_variables: train age_confidence/loss mean: 0.052816 2021-02-04 23:30:35.543: INFO @log_variables: train age_confidence/accuracy mean: 0.700297 2021-02-04 23:30:35.543: INFO @log_variables: valid loss nanmean: 1.394956 2021-02-04 23:30:35.543: INFO @log_variables: valid age_loss mean: 10.363750 2021-02-04 23:30:35.543: INFO @log_variables: valid gender_loss mean: 0.349818 2021-02-04 23:30:35.543: INFO @log_variables: valid age_mae mean: 9.725888 2021-02-04 23:30:35.543: INFO @log_variables: valid gender_accuracy mean: 0.844957 2021-02-04 23:30:35.543: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075262 2021-02-04 23:30:35.543: INFO @log_variables: valid gender_confidence/accuracy mean: 0.805068 2021-02-04 23:30:35.543: INFO @log_variables: valid age_confidence/loss mean: 0.059519 2021-02-04 23:30:35.543: INFO @log_variables: valid age_confidence/accuracy mean: 0.650025 2021-02-04 23:30:35.543: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:30:35.545: INFO @metrics_hook: train age_mae: 10.771 +-0.169 (13807) 2021-02-04 23:30:35.546: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13807) 2021-02-04 23:30:37.012: INFO @metrics_hook: valid age_mae: 9.726 +-0.287 (3986) 2021-02-04 23:30:37.012: INFO @metrics_hook: valid gender_accuracy: 0.845 +-0.011 (3986) 2021-02-04 23:30:38.312: INFO @decay_lr : LR updated to `0.00018822074` 2021-02-04 23:30:38.313: INFO @log_profile : T train: 12.787777 2021-02-04 23:30:38.313: INFO @log_profile : T valid: 1.566286 2021-02-04 23:30:38.313: INFO @log_profile : T read data: 0.510465 2021-02-04 23:30:38.313: INFO @log_profile : T hooks: 3.363864 2021-02-04 23:30:38.313: INFO @main_loop : Epoch 93 done 2021-02-04 23:30:38.313: INFO @main_loop : Training epoch 94 2021-02-04 23:30:53.233: INFO @log_variables: train loss nanmean: 1.517757 2021-02-04 23:30:53.233: INFO @log_variables: train age_loss mean: 11.438023 2021-02-04 23:30:53.233: INFO @log_variables: train gender_loss mean: 0.385761 2021-02-04 23:30:53.233: INFO @log_variables: train age_mae mean: 10.804521 2021-02-04 23:30:53.233: INFO @log_variables: train gender_accuracy mean: 0.824002 2021-02-04 23:30:53.233: INFO @log_variables: train gender_confidence/loss nanmean: 0.074334 2021-02-04 23:30:53.233: INFO @log_variables: train gender_confidence/accuracy mean: 0.734303 2021-02-04 23:30:53.233: INFO @log_variables: train age_confidence/loss mean: 0.052911 2021-02-04 23:30:53.233: INFO @log_variables: train age_confidence/accuracy mean: 0.700014 2021-02-04 23:30:53.234: INFO @log_variables: valid loss nanmean: 1.392648 2021-02-04 23:30:53.234: INFO @log_variables: valid age_loss mean: 10.454908 2021-02-04 23:30:53.234: INFO @log_variables: valid gender_loss mean: 0.343582 2021-02-04 23:30:53.234: INFO @log_variables: valid age_mae mean: 9.826678 2021-02-04 23:30:53.234: INFO @log_variables: valid gender_accuracy mean: 0.849975 2021-02-04 23:30:53.234: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072771 2021-02-04 23:30:53.234: INFO @log_variables: valid gender_confidence/accuracy mean: 0.795283 2021-02-04 23:30:53.234: INFO @log_variables: valid age_confidence/loss mean: 0.057084 2021-02-04 23:30:53.234: INFO @log_variables: valid age_confidence/accuracy mean: 0.656799 2021-02-04 23:30:53.234: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:30:53.236: INFO @metrics_hook: train age_mae: 10.805 +-0.170 (13824) 2021-02-04 23:30:53.237: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13824) 2021-02-04 23:30:54.713: INFO @metrics_hook: valid age_mae: 9.827 +-0.288 (3986) 2021-02-04 23:30:54.713: INFO @metrics_hook: valid gender_accuracy: 0.850 +-0.011 (3986) 2021-02-04 23:30:56.032: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:30:56.032: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:30:56.032: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:30:56.032: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.21 2021-02-04 23:30:56.114: INFO @evaluate_confidence: Previous accuracy would be: 82.40 2021-02-04 23:30:56.114: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:30:56.118: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.03, 89.51, 89.84, 90.1, 90.37, 90.74, 91.03, 91.28, 91.61, 91.89, 92.13, 92.43, 92.86, 93.17, 93.48, 93.87, 94.33, 94.62, 94.74] 2021-02-04 23:30:56.118: INFO @evaluate_confidence: Dropped ratios are: [29.35, 30.96, 32.44, 34.04, 35.53, 37.04, 38.54, 39.97, 41.53, 43.06, 44.57, 46.02, 47.34, 48.77, 50.05, 51.38, 52.89, 54.25, 55.46] 2021-02-04 23:30:56.124: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:30:56.124: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.20 2021-02-04 23:30:56.124: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:30:56.124: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:30:56.220: INFO @evaluate_confidence: Previous accuracy would be: 35.07 2021-02-04 23:30:56.220: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:30:56.223: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.65, 47.89, 49.32, 50.51, 52.04, 53.29, 54.9, 56.24, 57.56, 58.96, 60.72] 2021-02-04 23:30:56.223: INFO @evaluate_confidence: Dropped ratios are: [54.92, 58.64, 62.13, 65.15, 67.81, 70.28, 72.61, 74.46, 76.24, 77.92, 79.45] 2021-02-04 23:30:56.224: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:30:56.224: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.20 2021-02-04 23:30:56.224: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:30:56.225: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.21 2021-02-04 23:30:56.293: INFO @evaluate_confidence: Previous accuracy would be: 85.00 2021-02-04 23:30:56.294: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:30:56.295: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.39, 91.63, 91.69, 92.28, 92.41, 92.73, 92.94, 93.11, 93.42, 93.64, 93.98, 94.04, 94.47, 94.76, 94.84, 95.07, 95.52, 95.6, 95.85, 95.92] 2021-02-04 23:30:56.295: INFO @evaluate_confidence: Dropped ratios are: [26.27, 27.47, 28.75, 30.43, 31.56, 32.74, 33.94, 34.85, 36.33, 37.31, 38.74, 39.76, 40.99, 42.52, 43.6, 44.58, 46.19, 47.54, 48.6, 49.52] 2021-02-04 23:30:56.297: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:30:56.297: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.17 2021-02-04 23:30:56.297: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:30:56.297: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:30:56.385: INFO @evaluate_confidence: Previous accuracy would be: 37.43 2021-02-04 23:30:56.385: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:30:56.386: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.2, 48.77, 49.48, 50.54, 51.5, 53.06, 53.7] 2021-02-04 23:30:56.386: INFO @evaluate_confidence: Dropped ratios are: [56.9, 60.29, 64.15, 67.49, 70.67, 73.38, 75.61] 2021-02-04 23:30:56.396: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:30:56.734: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:30:56.791: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:30:57.029: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:30:57.186: INFO @decay_lr : LR updated to `0.00018727964` 2021-02-04 23:30:57.187: INFO @log_profile : T train: 12.403693 2021-02-04 23:30:57.187: INFO @log_profile : T valid: 1.504267 2021-02-04 23:30:57.187: INFO @log_profile : T read data: 0.400668 2021-02-04 23:30:57.187: INFO @log_profile : T hooks: 4.521137 2021-02-04 23:30:57.187: INFO @main_loop : Epoch 94 done 2021-02-04 23:30:57.187: INFO @main_loop : Training epoch 95 2021-02-04 23:31:12.920: INFO @log_variables: train loss nanmean: 1.500940 2021-02-04 23:31:12.920: INFO @log_variables: train age_loss mean: 11.346580 2021-02-04 23:31:12.920: INFO @log_variables: train gender_loss mean: 0.376010 2021-02-04 23:31:12.920: INFO @log_variables: train age_mae mean: 10.710164 2021-02-04 23:31:12.920: INFO @log_variables: train gender_accuracy mean: 0.830801 2021-02-04 23:31:12.920: INFO @log_variables: train gender_confidence/loss nanmean: 0.074361 2021-02-04 23:31:12.920: INFO @log_variables: train gender_confidence/accuracy mean: 0.739511 2021-02-04 23:31:12.921: INFO @log_variables: train age_confidence/loss mean: 0.053245 2021-02-04 23:31:12.921: INFO @log_variables: train age_confidence/accuracy mean: 0.696759 2021-02-04 23:31:12.921: INFO @log_variables: valid loss nanmean: 1.368971 2021-02-04 23:31:12.921: INFO @log_variables: valid age_loss mean: 10.236459 2021-02-04 23:31:12.921: INFO @log_variables: valid gender_loss mean: 0.338231 2021-02-04 23:31:12.921: INFO @log_variables: valid age_mae mean: 9.615022 2021-02-04 23:31:12.921: INFO @log_variables: valid gender_accuracy mean: 0.851229 2021-02-04 23:31:12.921: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072650 2021-02-04 23:31:12.921: INFO @log_variables: valid gender_confidence/accuracy mean: 0.813096 2021-02-04 23:31:12.921: INFO @log_variables: valid age_confidence/loss mean: 0.058251 2021-02-04 23:31:12.921: INFO @log_variables: valid age_confidence/accuracy mean: 0.651781 2021-02-04 23:31:12.921: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:31:12.923: INFO @metrics_hook: train age_mae: 10.710 +-0.169 (13824) 2021-02-04 23:31:12.924: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-02-04 23:31:14.417: INFO @metrics_hook: valid age_mae: 9.615 +-0.284 (3986) 2021-02-04 23:31:14.417: INFO @metrics_hook: valid gender_accuracy: 0.851 +-0.011 (3986) 2021-02-04 23:31:15.825: INFO @decay_lr : LR updated to `0.00018634324` 2021-02-04 23:31:15.826: INFO @log_profile : T train: 12.969917 2021-02-04 23:31:15.826: INFO @log_profile : T valid: 1.695736 2021-02-04 23:31:15.826: INFO @log_profile : T read data: 0.404911 2021-02-04 23:31:15.826: INFO @log_profile : T hooks: 3.518827 2021-02-04 23:31:15.826: INFO @main_loop : Epoch 95 done 2021-02-04 23:31:15.826: INFO @main_loop : Training epoch 96 2021-02-04 23:31:30.956: INFO @log_variables: train loss nanmean: 1.507782 2021-02-04 23:31:30.956: INFO @log_variables: train age_loss mean: 11.333447 2021-02-04 23:31:30.956: INFO @log_variables: train gender_loss mean: 0.386269 2021-02-04 23:31:30.956: INFO @log_variables: train age_mae mean: 10.702668 2021-02-04 23:31:30.956: INFO @log_variables: train gender_accuracy mean: 0.823555 2021-02-04 23:31:30.956: INFO @log_variables: train gender_confidence/loss nanmean: 0.073785 2021-02-04 23:31:30.956: INFO @log_variables: train gender_confidence/accuracy mean: 0.737578 2021-02-04 23:31:30.956: INFO @log_variables: train age_confidence/loss mean: 0.052530 2021-02-04 23:31:30.956: INFO @log_variables: train age_confidence/accuracy mean: 0.701362 2021-02-04 23:31:30.956: INFO @log_variables: valid loss nanmean: 1.388922 2021-02-04 23:31:30.956: INFO @log_variables: valid age_loss mean: 10.486374 2021-02-04 23:31:30.957: INFO @log_variables: valid gender_loss mean: 0.335061 2021-02-04 23:31:30.957: INFO @log_variables: valid age_mae mean: 9.862917 2021-02-04 23:31:30.957: INFO @log_variables: valid gender_accuracy mean: 0.855243 2021-02-04 23:31:30.957: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072761 2021-02-04 23:31:30.957: INFO @log_variables: valid gender_confidence/accuracy mean: 0.805820 2021-02-04 23:31:30.957: INFO @log_variables: valid age_confidence/loss mean: 0.058253 2021-02-04 23:31:30.957: INFO @log_variables: valid age_confidence/accuracy mean: 0.653036 2021-02-04 23:31:30.957: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:31:30.959: INFO @metrics_hook: train age_mae: 10.703 +-0.169 (13806) 2021-02-04 23:31:30.960: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13806) 2021-02-04 23:31:32.401: INFO @metrics_hook: valid age_mae: 9.863 +-0.290 (3986) 2021-02-04 23:31:32.402: INFO @metrics_hook: valid gender_accuracy: 0.855 +-0.011 (3986) 2021-02-04 23:31:33.660: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:31:33.661: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:31:33.661: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:31:33.661: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.21 2021-02-04 23:31:33.741: INFO @evaluate_confidence: Previous accuracy would be: 82.36 2021-02-04 23:31:33.741: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:31:33.746: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.09, 89.56, 89.96, 90.33, 90.63, 90.89, 91.22, 91.57, 91.82, 92.08, 92.31, 92.64, 92.96, 93.43, 93.82, 94.13, 94.32, 94.6, 94.7] 2021-02-04 23:31:33.746: INFO @evaluate_confidence: Dropped ratios are: [29.15, 30.72, 32.17, 33.8, 35.38, 37.11, 38.59, 40.09, 41.47, 42.84, 44.31, 45.67, 47.15, 48.65, 50.07, 51.41, 52.71, 54.11, 55.46] 2021-02-04 23:31:33.752: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:31:33.752: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.21 2021-02-04 23:31:33.752: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:31:33.752: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:31:33.836: INFO @evaluate_confidence: Previous accuracy would be: 35.15 2021-02-04 23:31:33.836: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:31:33.838: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.21, 47.56, 48.95, 50.65, 52.24, 53.78, 55.72, 57.48, 58.78, 60.35, 61.66] 2021-02-04 23:31:33.838: INFO @evaluate_confidence: Dropped ratios are: [54.15, 57.83, 61.2, 64.44, 67.39, 70.02, 72.27, 74.29, 76.17, 77.75, 79.31] 2021-02-04 23:31:33.840: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:31:33.840: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.19 2021-02-04 23:31:33.840: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.15 2021-02-04 23:31:33.840: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.20 2021-02-04 23:31:33.910: INFO @evaluate_confidence: Previous accuracy would be: 85.52 2021-02-04 23:31:33.910: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:31:33.912: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.96, 92.36, 92.75, 93.03, 93.32, 93.49, 93.74, 93.86, 94.05, 94.15, 94.38, 94.7, 94.81, 95.12, 95.34, 95.5, 95.63, 95.79, 95.93, 95.95] 2021-02-04 23:31:33.912: INFO @evaluate_confidence: Dropped ratios are: [25.41, 26.79, 28.32, 29.48, 30.53, 31.84, 33.12, 34.22, 35.5, 36.58, 37.93, 39.44, 40.57, 41.9, 43.45, 44.86, 46.06, 47.62, 48.87, 49.77] 2021-02-04 23:31:33.914: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:31:33.914: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.18 2021-02-04 23:31:33.914: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:31:33.914: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:31:34.003: INFO @evaluate_confidence: Previous accuracy would be: 37.36 2021-02-04 23:31:34.003: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:31:34.004: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.46, 48.25, 49.35, 50.88, 52.52, 53.73, 53.68, 55.38, 56.4] 2021-02-04 23:31:34.004: INFO @evaluate_confidence: Dropped ratios are: [55.02, 59.23, 63.35, 67.06, 70.15, 72.78, 75.14, 77.17, 79.23] 2021-02-04 23:31:34.013: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:31:34.353: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:31:34.411: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:31:34.666: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:31:34.822: INFO @decay_lr : LR updated to `0.00018541153` 2021-02-04 23:31:34.823: INFO @log_profile : T train: 12.579408 2021-02-04 23:31:34.823: INFO @log_profile : T valid: 1.425485 2021-02-04 23:31:34.823: INFO @log_profile : T read data: 0.494303 2021-02-04 23:31:34.823: INFO @log_profile : T hooks: 4.452161 2021-02-04 23:31:34.823: INFO @main_loop : Epoch 96 done 2021-02-04 23:31:34.823: INFO @main_loop : Training epoch 97 2021-02-04 23:31:50.532: INFO @log_variables: train loss nanmean: 1.513471 2021-02-04 23:31:50.532: INFO @log_variables: train age_loss mean: 11.403715 2021-02-04 23:31:50.533: INFO @log_variables: train gender_loss mean: 0.383922 2021-02-04 23:31:50.533: INFO @log_variables: train age_mae mean: 10.768174 2021-02-04 23:31:50.533: INFO @log_variables: train gender_accuracy mean: 0.829789 2021-02-04 23:31:50.533: INFO @log_variables: train gender_confidence/loss nanmean: 0.074749 2021-02-04 23:31:50.533: INFO @log_variables: train gender_confidence/accuracy mean: 0.736328 2021-02-04 23:31:50.533: INFO @log_variables: train age_confidence/loss mean: 0.053001 2021-02-04 23:31:50.533: INFO @log_variables: train age_confidence/accuracy mean: 0.698423 2021-02-04 23:31:50.533: INFO @log_variables: valid loss nanmean: 1.374440 2021-02-04 23:31:50.533: INFO @log_variables: valid age_loss mean: 10.333488 2021-02-04 23:31:50.533: INFO @log_variables: valid gender_loss mean: 0.334805 2021-02-04 23:31:50.533: INFO @log_variables: valid age_mae mean: 9.703758 2021-02-04 23:31:50.533: INFO @log_variables: valid gender_accuracy mean: 0.855745 2021-02-04 23:31:50.533: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071355 2021-02-04 23:31:50.533: INFO @log_variables: valid gender_confidence/accuracy mean: 0.801806 2021-02-04 23:31:50.533: INFO @log_variables: valid age_confidence/loss mean: 0.059309 2021-02-04 23:31:50.533: INFO @log_variables: valid age_confidence/accuracy mean: 0.644255 2021-02-04 23:31:50.533: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:31:50.535: INFO @metrics_hook: train age_mae: 10.768 +-0.171 (13824) 2021-02-04 23:31:50.537: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-02-04 23:31:51.970: INFO @metrics_hook: valid age_mae: 9.704 +-0.289 (3986) 2021-02-04 23:31:51.971: INFO @metrics_hook: valid gender_accuracy: 0.856 +-0.011 (3986) 2021-02-04 23:31:53.328: INFO @decay_lr : LR updated to `0.00018448447` 2021-02-04 23:31:53.329: INFO @log_profile : T train: 13.058380 2021-02-04 23:31:53.329: INFO @log_profile : T valid: 1.600238 2021-02-04 23:31:53.329: INFO @log_profile : T read data: 0.395294 2021-02-04 23:31:53.329: INFO @log_profile : T hooks: 3.401964 2021-02-04 23:31:53.329: INFO @main_loop : Epoch 97 done 2021-02-04 23:31:53.329: INFO @main_loop : Training epoch 98 2021-02-04 23:32:08.858: INFO @log_variables: train loss nanmean: 1.509389 2021-02-04 23:32:08.858: INFO @log_variables: train age_loss mean: 11.409863 2021-02-04 23:32:08.858: INFO @log_variables: train gender_loss mean: 0.379460 2021-02-04 23:32:08.858: INFO @log_variables: train age_mae mean: 10.775415 2021-02-04 23:32:08.858: INFO @log_variables: train gender_accuracy mean: 0.828113 2021-02-04 23:32:08.858: INFO @log_variables: train gender_confidence/loss nanmean: 0.074131 2021-02-04 23:32:08.858: INFO @log_variables: train gender_confidence/accuracy mean: 0.739854 2021-02-04 23:32:08.858: INFO @log_variables: train age_confidence/loss mean: 0.053034 2021-02-04 23:32:08.858: INFO @log_variables: train age_confidence/accuracy mean: 0.697750 2021-02-04 23:32:08.858: INFO @log_variables: valid loss nanmean: 1.361117 2021-02-04 23:32:08.858: INFO @log_variables: valid age_loss mean: 10.256085 2021-02-04 23:32:08.858: INFO @log_variables: valid gender_loss mean: 0.328751 2021-02-04 23:32:08.859: INFO @log_variables: valid age_mae mean: 9.630835 2021-02-04 23:32:08.859: INFO @log_variables: valid gender_accuracy mean: 0.858254 2021-02-04 23:32:08.859: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072168 2021-02-04 23:32:08.859: INFO @log_variables: valid gender_confidence/accuracy mean: 0.812092 2021-02-04 23:32:08.859: INFO @log_variables: valid age_confidence/loss mean: 0.057713 2021-02-04 23:32:08.859: INFO @log_variables: valid age_confidence/accuracy mean: 0.655294 2021-02-04 23:32:08.859: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:32:08.860: INFO @metrics_hook: train age_mae: 10.775 +-0.171 (13823) 2021-02-04 23:32:08.862: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13823) 2021-02-04 23:32:10.290: INFO @metrics_hook: valid age_mae: 9.631 +-0.280 (3986) 2021-02-04 23:32:10.290: INFO @metrics_hook: valid gender_accuracy: 0.858 +-0.011 (3986) 2021-02-04 23:32:11.557: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:32:11.557: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:32:11.557: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:32:11.557: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.21 2021-02-04 23:32:11.636: INFO @evaluate_confidence: Previous accuracy would be: 82.81 2021-02-04 23:32:11.636: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:32:11.641: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.43, 89.78, 90.03, 90.35, 90.64, 90.97, 91.37, 91.67, 91.88, 92.28, 92.66, 92.89, 93.06, 93.23, 93.44, 93.76, 93.93, 94.15, 94.35] 2021-02-04 23:32:11.641: INFO @evaluate_confidence: Dropped ratios are: [29.15, 30.71, 32.29, 33.74, 35.18, 36.64, 38.25, 39.67, 41.01, 42.57, 43.93, 45.29, 46.66, 48.06, 49.29, 50.71, 51.96, 53.29, 54.78] 2021-02-04 23:32:11.647: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:32:11.647: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:32:11.647: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:32:11.647: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:32:11.736: INFO @evaluate_confidence: Previous accuracy would be: 35.88 2021-02-04 23:32:11.736: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:32:11.739: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.76, 48.23, 49.75, 51.21, 53.29, 54.91, 56.8, 58.1, 59.7, 60.88, 62.17, 63.6, 65.03] 2021-02-04 23:32:11.739: INFO @evaluate_confidence: Dropped ratios are: [53.4, 57.16, 60.67, 63.76, 66.92, 69.49, 71.92, 73.75, 75.66, 77.46, 78.75, 80.13, 81.4] 2021-02-04 23:32:11.741: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:32:11.741: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.19 2021-02-04 23:32:11.741: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.15 2021-02-04 23:32:11.741: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.20 2021-02-04 23:32:11.812: INFO @evaluate_confidence: Previous accuracy would be: 85.83 2021-02-04 23:32:11.813: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:32:11.814: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.95, 92.42, 92.77, 93.08, 93.34, 93.62, 93.91, 94.1, 94.3, 94.49, 94.55, 94.6, 94.73, 95.25, 95.37, 95.68, 95.85, 95.98, 96.07, 96.18] 2021-02-04 23:32:11.814: INFO @evaluate_confidence: Dropped ratios are: [24.54, 26.19, 27.5, 28.9, 29.95, 31.23, 32.41, 33.72, 34.9, 36.2, 37.43, 38.64, 39.99, 41.37, 42.55, 43.63, 44.98, 46.34, 47.62, 48.8] 2021-02-04 23:32:11.816: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:32:11.816: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.18 2021-02-04 23:32:11.816: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:32:11.816: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.14 2021-02-04 23:32:11.907: INFO @evaluate_confidence: Previous accuracy would be: 37.51 2021-02-04 23:32:11.908: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:32:11.909: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.69, 48.99, 50.1, 51.49, 52.41, 53.78, 54.88, 54.35, 55.49, 57.54] 2021-02-04 23:32:11.909: INFO @evaluate_confidence: Dropped ratios are: [51.18, 56.52, 61.24, 65.4, 68.79, 72.43, 75.09, 77.2, 79.43, 81.21] 2021-02-04 23:32:11.918: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:32:12.247: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:12.304: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:32:12.542: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:12.685: INFO @decay_lr : LR updated to `0.00018356205` 2021-02-04 23:32:12.686: INFO @log_profile : T train: 12.890357 2021-02-04 23:32:12.686: INFO @log_profile : T valid: 1.620971 2021-02-04 23:32:12.686: INFO @log_profile : T read data: 0.394257 2021-02-04 23:32:12.686: INFO @log_profile : T hooks: 4.402866 2021-02-04 23:32:12.686: INFO @main_loop : Epoch 98 done 2021-02-04 23:32:12.686: INFO @main_loop : Training epoch 99 2021-02-04 23:32:28.317: INFO @log_variables: train loss nanmean: 1.485391 2021-02-04 23:32:28.317: INFO @log_variables: train age_loss mean: 11.164708 2021-02-04 23:32:28.317: INFO @log_variables: train gender_loss mean: 0.377813 2021-02-04 23:32:28.317: INFO @log_variables: train age_mae mean: 10.531743 2021-02-04 23:32:28.317: INFO @log_variables: train gender_accuracy mean: 0.829652 2021-02-04 23:32:28.317: INFO @log_variables: train gender_confidence/loss nanmean: 0.073343 2021-02-04 23:32:28.317: INFO @log_variables: train gender_confidence/accuracy mean: 0.738901 2021-02-04 23:32:28.317: INFO @log_variables: train age_confidence/loss mean: 0.053608 2021-02-04 23:32:28.317: INFO @log_variables: train age_confidence/accuracy mean: 0.695010 2021-02-04 23:32:28.317: INFO @log_variables: valid loss nanmean: 1.360088 2021-02-04 23:32:28.317: INFO @log_variables: valid age_loss mean: 10.248915 2021-02-04 23:32:28.318: INFO @log_variables: valid gender_loss mean: 0.326519 2021-02-04 23:32:28.318: INFO @log_variables: valid age_mae mean: 9.628935 2021-02-04 23:32:28.318: INFO @log_variables: valid gender_accuracy mean: 0.862017 2021-02-04 23:32:28.318: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075439 2021-02-04 23:32:28.318: INFO @log_variables: valid gender_confidence/accuracy mean: 0.797291 2021-02-04 23:32:28.318: INFO @log_variables: valid age_confidence/loss mean: 0.056094 2021-02-04 23:32:28.318: INFO @log_variables: valid age_confidence/accuracy mean: 0.672353 2021-02-04 23:32:28.318: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:32:28.320: INFO @metrics_hook: train age_mae: 10.532 +-0.166 (13807) 2021-02-04 23:32:28.321: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13807) 2021-02-04 23:32:29.728: INFO @metrics_hook: valid age_mae: 9.629 +-0.275 (3986) 2021-02-04 23:32:29.728: INFO @metrics_hook: valid gender_accuracy: 0.862 +-0.011 (3986) 2021-02-04 23:32:31.054: INFO @decay_lr : LR updated to `0.00018264425` 2021-02-04 23:32:31.240: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:32:31.242: INFO @log_profile : T train: 12.839264 2021-02-04 23:32:31.242: INFO @log_profile : T valid: 1.633099 2021-02-04 23:32:31.242: INFO @log_profile : T read data: 0.506931 2021-02-04 23:32:31.242: INFO @log_profile : T hooks: 3.527624 2021-02-04 23:32:31.242: INFO @main_loop : Epoch 99 done 2021-02-04 23:32:31.242: INFO @main_loop : Training epoch 100 2021-02-04 23:32:47.435: INFO @log_variables: train loss nanmean: 1.485372 2021-02-04 23:32:47.435: INFO @log_variables: train age_loss mean: 11.223590 2021-02-04 23:32:47.435: INFO @log_variables: train gender_loss mean: 0.371311 2021-02-04 23:32:47.435: INFO @log_variables: train age_mae mean: 10.593828 2021-02-04 23:32:47.435: INFO @log_variables: train gender_accuracy mean: 0.834913 2021-02-04 23:32:47.435: INFO @log_variables: train gender_confidence/loss nanmean: 0.074095 2021-02-04 23:32:47.435: INFO @log_variables: train gender_confidence/accuracy mean: 0.743254 2021-02-04 23:32:47.435: INFO @log_variables: train age_confidence/loss mean: 0.053395 2021-02-04 23:32:47.435: INFO @log_variables: train age_confidence/accuracy mean: 0.698039 2021-02-04 23:32:47.435: INFO @log_variables: valid loss nanmean: 1.360554 2021-02-04 23:32:47.435: INFO @log_variables: valid age_loss mean: 10.269126 2021-02-04 23:32:47.435: INFO @log_variables: valid gender_loss mean: 0.324536 2021-02-04 23:32:47.436: INFO @log_variables: valid age_mae mean: 9.646299 2021-02-04 23:32:47.436: INFO @log_variables: valid gender_accuracy mean: 0.861014 2021-02-04 23:32:47.436: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073059 2021-02-04 23:32:47.436: INFO @log_variables: valid gender_confidence/accuracy mean: 0.807075 2021-02-04 23:32:47.436: INFO @log_variables: valid age_confidence/loss mean: 0.058905 2021-02-04 23:32:47.436: INFO @log_variables: valid age_confidence/accuracy mean: 0.647015 2021-02-04 23:32:47.436: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:32:47.438: INFO @metrics_hook: train age_mae: 10.594 +-0.167 (13823) 2021-02-04 23:32:47.439: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13823) 2021-02-04 23:32:48.833: INFO @metrics_hook: valid age_mae: 9.646 +-0.283 (3986) 2021-02-04 23:32:48.834: INFO @metrics_hook: valid gender_accuracy: 0.861 +-0.011 (3986) 2021-02-04 23:32:50.054: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:32:50.054: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.20 2021-02-04 23:32:50.054: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:32:50.055: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:32:50.132: INFO @evaluate_confidence: Previous accuracy would be: 83.49 2021-02-04 23:32:50.133: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:32:50.137: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.65, 90.14, 90.31, 90.58, 90.91, 91.3, 91.62, 91.74, 92.06, 92.37, 92.6, 92.91, 93.23, 93.46, 93.73, 94.13, 94.49, 94.82, 95.04] 2021-02-04 23:32:50.137: INFO @evaluate_confidence: Dropped ratios are: [28.3, 29.78, 31.19, 32.72, 34.18, 35.75, 37.16, 38.52, 39.75, 41.23, 42.49, 44.09, 45.48, 46.91, 48.33, 49.75, 51.18, 52.51, 53.75] 2021-02-04 23:32:50.142: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:32:50.143: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:32:50.143: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:32:50.143: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:32:50.232: INFO @evaluate_confidence: Previous accuracy would be: 36.22 2021-02-04 23:32:50.232: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:32:50.236: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.62, 48.73, 50.22, 51.72, 53.3, 55.0, 56.2, 57.57, 59.26, 60.81, 62.84, 64.5, 65.85] 2021-02-04 23:32:50.236: INFO @evaluate_confidence: Dropped ratios are: [52.95, 56.71, 60.33, 63.53, 66.48, 69.17, 71.54, 73.69, 75.67, 77.28, 78.99, 80.39, 81.51] 2021-02-04 23:32:50.237: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:32:50.237: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.20 2021-02-04 23:32:50.237: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:32:50.237: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.21 2021-02-04 23:32:50.310: INFO @evaluate_confidence: Previous accuracy would be: 86.10 2021-02-04 23:32:50.310: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:32:50.312: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.8, 91.97, 92.31, 92.68, 93.0, 93.16, 93.33, 93.73, 94.05, 94.4, 94.77, 94.98, 95.11, 95.19, 95.29, 95.38, 95.47, 95.75, 95.73, 95.98, 96.27] 2021-02-04 23:32:50.312: INFO @evaluate_confidence: Dropped ratios are: [23.78, 24.99, 26.27, 27.37, 28.73, 29.98, 31.51, 32.76, 33.82, 35.0, 36.18, 37.53, 38.38, 39.54, 40.82, 41.87, 42.9, 43.98, 45.33, 46.99, 48.22] 2021-02-04 23:32:50.313: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:32:50.313: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-04 23:32:50.313: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:32:50.313: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-04 23:32:50.401: INFO @evaluate_confidence: Previous accuracy would be: 37.53 2021-02-04 23:32:50.402: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:32:50.403: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.66, 47.91, 48.89, 49.67, 50.86, 51.44, 52.96, 54.43, 55.57] 2021-02-04 23:32:50.403: INFO @evaluate_confidence: Dropped ratios are: [54.57, 58.68, 62.59, 66.21, 69.37, 72.1, 74.61, 77.04, 78.6] 2021-02-04 23:32:50.412: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:32:50.751: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:50.806: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:32:51.045: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:51.099: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:32:51.463: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:51.527: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:32:51.528: INFO @evaluate_gender-age_model: groups 0 9.017270 1 11.946912 2 10.587729 3 8.745783 4 9.584411 5 11.046201 6 11.999726 7 11.531317 Name: errors, dtype: float64 2021-02-04 23:32:51.529: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:32:51.774: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:32:51.828: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:32:51.829: INFO @evaluate_gender-age_model: groups 0 8.012848 1 9.048928 2 9.046430 3 8.432956 4 10.228925 5 10.976187 6 11.331384 7 9.558320 Name: errors, dtype: float64 2021-02-04 23:32:51.925: INFO @decay_lr : LR updated to `0.00018173103` 2021-02-04 23:32:51.926: INFO @log_profile : T train: 12.961317 2021-02-04 23:32:51.926: INFO @log_profile : T valid: 1.609718 2021-02-04 23:32:51.926: INFO @log_profile : T read data: 0.404558 2021-02-04 23:32:51.926: INFO @log_profile : T hooks: 5.660506 2021-02-04 23:32:51.926: INFO @main_loop : Epoch 100 done 2021-02-04 23:32:51.926: INFO @main_loop : Training epoch 101 2021-02-04 23:33:06.668: INFO @log_variables: train loss nanmean: 1.494964 2021-02-04 23:33:06.668: INFO @log_variables: train age_loss mean: 11.228562 2021-02-04 23:33:06.670: INFO @log_variables: train gender_loss mean: 0.380701 2021-02-04 23:33:06.670: INFO @log_variables: train age_mae mean: 10.597943 2021-02-04 23:33:06.670: INFO @log_variables: train gender_accuracy mean: 0.830014 2021-02-04 23:33:06.670: INFO @log_variables: train gender_confidence/loss nanmean: 0.074781 2021-02-04 23:33:06.670: INFO @log_variables: train gender_confidence/accuracy mean: 0.735931 2021-02-04 23:33:06.670: INFO @log_variables: train age_confidence/loss mean: 0.053314 2021-02-04 23:33:06.670: INFO @log_variables: train age_confidence/accuracy mean: 0.695951 2021-02-04 23:33:06.670: INFO @log_variables: valid loss nanmean: 1.349910 2021-02-04 23:33:06.670: INFO @log_variables: valid age_loss mean: 10.147659 2021-02-04 23:33:06.670: INFO @log_variables: valid gender_loss mean: 0.328531 2021-02-04 23:33:06.670: INFO @log_variables: valid age_mae mean: 9.531698 2021-02-04 23:33:06.670: INFO @log_variables: valid gender_accuracy mean: 0.856749 2021-02-04 23:33:06.670: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072200 2021-02-04 23:33:06.671: INFO @log_variables: valid gender_confidence/accuracy mean: 0.808831 2021-02-04 23:33:06.671: INFO @log_variables: valid age_confidence/loss mean: 0.056531 2021-02-04 23:33:06.671: INFO @log_variables: valid age_confidence/accuracy mean: 0.663322 2021-02-04 23:33:06.671: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:33:06.672: INFO @metrics_hook: train age_mae: 10.598 +-0.169 (13807) 2021-02-04 23:33:06.674: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13807) 2021-02-04 23:33:08.107: INFO @metrics_hook: valid age_mae: 9.532 +-0.278 (3986) 2021-02-04 23:33:08.108: INFO @metrics_hook: valid gender_accuracy: 0.857 +-0.011 (3986) 2021-02-04 23:33:09.501: INFO @decay_lr : LR updated to `0.00018082238` 2021-02-04 23:33:09.502: INFO @log_profile : T train: 12.176377 2021-02-04 23:33:09.502: INFO @log_profile : T valid: 1.431545 2021-02-04 23:33:09.502: INFO @log_profile : T read data: 0.498061 2021-02-04 23:33:09.502: INFO @log_profile : T hooks: 3.423270 2021-02-04 23:33:09.502: INFO @main_loop : Epoch 101 done 2021-02-04 23:33:09.502: INFO @main_loop : Training epoch 102 2021-02-04 23:33:24.998: INFO @log_variables: train loss nanmean: 1.493450 2021-02-04 23:33:24.998: INFO @log_variables: train age_loss mean: 11.233888 2021-02-04 23:33:24.998: INFO @log_variables: train gender_loss mean: 0.379465 2021-02-04 23:33:24.998: INFO @log_variables: train age_mae mean: 10.603740 2021-02-04 23:33:24.998: INFO @log_variables: train gender_accuracy mean: 0.827185 2021-02-04 23:33:24.998: INFO @log_variables: train gender_confidence/loss nanmean: 0.073955 2021-02-04 23:33:24.999: INFO @log_variables: train gender_confidence/accuracy mean: 0.739005 2021-02-04 23:33:24.999: INFO @log_variables: train age_confidence/loss mean: 0.053264 2021-02-04 23:33:24.999: INFO @log_variables: train age_confidence/accuracy mean: 0.694300 2021-02-04 23:33:24.999: INFO @log_variables: valid loss nanmean: 1.347857 2021-02-04 23:33:24.999: INFO @log_variables: valid age_loss mean: 10.253336 2021-02-04 23:33:24.999: INFO @log_variables: valid gender_loss mean: 0.313735 2021-02-04 23:33:24.999: INFO @log_variables: valid age_mae mean: 9.624248 2021-02-04 23:33:24.999: INFO @log_variables: valid gender_accuracy mean: 0.862519 2021-02-04 23:33:24.999: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069262 2021-02-04 23:33:24.999: INFO @log_variables: valid gender_confidence/accuracy mean: 0.812594 2021-02-04 23:33:24.999: INFO @log_variables: valid age_confidence/loss mean: 0.061259 2021-02-04 23:33:24.999: INFO @log_variables: valid age_confidence/accuracy mean: 0.637983 2021-02-04 23:33:24.999: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:33:25.001: INFO @metrics_hook: train age_mae: 10.604 +-0.168 (13824) 2021-02-04 23:33:25.003: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-02-04 23:33:26.441: INFO @metrics_hook: valid age_mae: 9.624 +-0.287 (3986) 2021-02-04 23:33:26.442: INFO @metrics_hook: valid gender_accuracy: 0.863 +-0.011 (3986) 2021-02-04 23:33:27.697: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:33:27.697: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.69 +- 0.20 2021-02-04 23:33:27.697: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:33:27.697: INFO @evaluate_confidence: Average confidence of all samples 0.66 +- 0.21 2021-02-04 23:33:27.788: INFO @evaluate_confidence: Previous accuracy would be: 82.72 2021-02-04 23:33:27.788: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:33:27.792: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.27, 89.75, 90.15, 90.55, 90.89, 91.2, 91.39, 91.69, 91.95, 92.26, 92.45, 92.76, 92.98, 93.25, 93.54, 93.85, 94.19, 94.52, 94.79] 2021-02-04 23:33:27.792: INFO @evaluate_confidence: Dropped ratios are: [28.89, 30.62, 32.15, 33.59, 35.09, 36.64, 38.03, 39.55, 40.95, 42.41, 43.86, 45.43, 46.97, 48.21, 49.63, 51.06, 52.35, 53.7, 55.02] 2021-02-04 23:33:27.798: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:33:27.798: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:33:27.798: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:33:27.798: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:33:33.064: INFO @evaluate_confidence: Previous accuracy would be: 35.81 2021-02-04 23:33:33.064: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:33:33.067: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.99, 48.17, 49.77, 51.21, 52.68, 53.96, 55.38, 56.62, 58.24, 59.55, 60.65, 62.3, 63.52] 2021-02-04 23:33:33.068: INFO @evaluate_confidence: Dropped ratios are: [53.31, 57.02, 60.66, 63.97, 67.18, 69.93, 72.26, 74.27, 76.08, 77.84, 79.19, 80.6, 81.76] 2021-02-04 23:33:33.069: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:33:33.069: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.19 2021-02-04 23:33:33.069: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.15 2021-02-04 23:33:33.070: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.20 2021-02-04 23:33:33.141: INFO @evaluate_confidence: Previous accuracy would be: 86.25 2021-02-04 23:33:33.142: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-04 23:33:33.143: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.66, 92.93, 93.28, 93.68, 93.99, 94.2, 94.49, 94.72, 95.06, 95.17, 95.52, 95.73, 95.85, 95.93, 96.0, 96.26, 96.44, 96.45, 96.54, 96.58, 96.83] 2021-02-04 23:33:33.143: INFO @evaluate_confidence: Dropped ratios are: [23.81, 25.16, 26.44, 27.72, 29.05, 30.38, 31.71, 33.04, 34.55, 35.57, 36.75, 37.76, 38.96, 40.17, 41.72, 42.95, 44.36, 45.56, 47.01, 47.99, 49.32] 2021-02-04 23:33:33.145: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:33:33.145: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.19 2021-02-04 23:33:33.145: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:33:33.145: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.15 2021-02-04 23:33:33.237: INFO @evaluate_confidence: Previous accuracy would be: 39.54 2021-02-04 23:33:33.237: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:33:33.238: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.44, 49.81, 50.96, 52.33, 53.36, 53.7, 54.75, 54.91] 2021-02-04 23:33:33.238: INFO @evaluate_confidence: Dropped ratios are: [55.54, 60.46, 64.9, 68.21, 71.6, 73.88, 76.49, 78.3] 2021-02-04 23:33:33.247: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:33:33.594: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:33:33.648: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:33:33.891: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:33:34.035: INFO @decay_lr : LR updated to `0.00017991826` 2021-02-04 23:33:34.251: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:33:34.253: INFO @log_profile : T train: 12.848316 2021-02-04 23:33:34.253: INFO @log_profile : T valid: 1.612861 2021-02-04 23:33:34.253: INFO @log_profile : T read data: 0.399090 2021-02-04 23:33:34.253: INFO @log_profile : T hooks: 9.842340 2021-02-04 23:33:34.253: INFO @main_loop : Epoch 102 done 2021-02-04 23:33:34.253: INFO @main_loop : Training epoch 103 2021-02-04 23:33:49.836: INFO @log_variables: train loss nanmean: 1.472214 2021-02-04 23:33:49.836: INFO @log_variables: train age_loss mean: 11.132820 2021-02-04 23:33:49.836: INFO @log_variables: train gender_loss mean: 0.366950 2021-02-04 23:33:49.836: INFO @log_variables: train age_mae mean: 10.503242 2021-02-04 23:33:49.836: INFO @log_variables: train gender_accuracy mean: 0.836372 2021-02-04 23:33:49.836: INFO @log_variables: train gender_confidence/loss nanmean: 0.072531 2021-02-04 23:33:49.836: INFO @log_variables: train gender_confidence/accuracy mean: 0.745949 2021-02-04 23:33:49.836: INFO @log_variables: train age_confidence/loss mean: 0.054018 2021-02-04 23:33:49.836: INFO @log_variables: train age_confidence/accuracy mean: 0.689525 2021-02-04 23:33:49.836: INFO @log_variables: valid loss nanmean: 1.362798 2021-02-04 23:33:49.837: INFO @log_variables: valid age_loss mean: 10.182930 2021-02-04 23:33:49.837: INFO @log_variables: valid gender_loss mean: 0.335101 2021-02-04 23:33:49.837: INFO @log_variables: valid age_mae mean: 9.566750 2021-02-04 23:33:49.837: INFO @log_variables: valid gender_accuracy mean: 0.853989 2021-02-04 23:33:49.837: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075004 2021-02-04 23:33:49.837: INFO @log_variables: valid gender_confidence/accuracy mean: 0.823131 2021-02-04 23:33:49.837: INFO @log_variables: valid age_confidence/loss mean: 0.057436 2021-02-04 23:33:49.837: INFO @log_variables: valid age_confidence/accuracy mean: 0.658555 2021-02-04 23:33:49.837: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:33:49.839: INFO @metrics_hook: train age_mae: 10.503 +-0.167 (13824) 2021-02-04 23:33:49.840: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-02-04 23:33:51.273: INFO @metrics_hook: valid age_mae: 9.567 +-0.283 (3986) 2021-02-04 23:33:51.273: INFO @metrics_hook: valid gender_accuracy: 0.854 +-0.011 (3986) 2021-02-04 23:33:52.623: INFO @decay_lr : LR updated to `0.00017901868` 2021-02-04 23:33:52.624: INFO @log_profile : T train: 12.946495 2021-02-04 23:33:52.624: INFO @log_profile : T valid: 1.587783 2021-02-04 23:33:52.624: INFO @log_profile : T read data: 0.409144 2021-02-04 23:33:52.624: INFO @log_profile : T hooks: 3.379471 2021-02-04 23:33:52.624: INFO @main_loop : Epoch 103 done 2021-02-04 23:33:52.624: INFO @main_loop : Training epoch 104 2021-02-04 23:34:08.184: INFO @log_variables: train loss nanmean: 1.487229 2021-02-04 23:34:08.184: INFO @log_variables: train age_loss mean: 11.255021 2021-02-04 23:34:08.184: INFO @log_variables: train gender_loss mean: 0.372439 2021-02-04 23:34:08.184: INFO @log_variables: train age_mae mean: 10.624352 2021-02-04 23:34:08.184: INFO @log_variables: train gender_accuracy mean: 0.828710 2021-02-04 23:34:08.184: INFO @log_variables: train gender_confidence/loss nanmean: 0.072459 2021-02-04 23:34:08.184: INFO @log_variables: train gender_confidence/accuracy mean: 0.737669 2021-02-04 23:34:08.184: INFO @log_variables: train age_confidence/loss mean: 0.053006 2021-02-04 23:34:08.184: INFO @log_variables: train age_confidence/accuracy mean: 0.697110 2021-02-04 23:34:08.184: INFO @log_variables: valid loss nanmean: 1.356644 2021-02-04 23:34:08.184: INFO @log_variables: valid age_loss mean: 10.260916 2021-02-04 23:34:08.184: INFO @log_variables: valid gender_loss mean: 0.321788 2021-02-04 23:34:08.184: INFO @log_variables: valid age_mae mean: 9.635892 2021-02-04 23:34:08.185: INFO @log_variables: valid gender_accuracy mean: 0.862017 2021-02-04 23:34:08.185: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071052 2021-02-04 23:34:08.185: INFO @log_variables: valid gender_confidence/accuracy mean: 0.810336 2021-02-04 23:34:08.185: INFO @log_variables: valid age_confidence/loss mean: 0.060247 2021-02-04 23:34:08.185: INFO @log_variables: valid age_confidence/accuracy mean: 0.641746 2021-02-04 23:34:08.185: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:34:08.186: INFO @metrics_hook: train age_mae: 10.624 +-0.167 (13807) 2021-02-04 23:34:08.188: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13807) 2021-02-04 23:34:09.627: INFO @metrics_hook: valid age_mae: 9.636 +-0.290 (3986) 2021-02-04 23:34:09.628: INFO @metrics_hook: valid gender_accuracy: 0.862 +-0.011 (3986) 2021-02-04 23:34:10.867: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:34:10.867: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:34:10.867: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.15 2021-02-04 23:34:10.867: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:34:10.949: INFO @evaluate_confidence: Previous accuracy would be: 82.87 2021-02-04 23:34:10.950: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:34:10.954: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.41, 89.76, 90.24, 90.54, 90.94, 91.21, 91.55, 91.83, 91.99, 92.4, 92.81, 93.06, 93.3, 93.58, 93.75, 94.02, 94.31, 94.52, 94.72, 95.08] 2021-02-04 23:34:10.954: INFO @evaluate_confidence: Dropped ratios are: [28.14, 29.56, 31.02, 32.35, 33.91, 35.34, 36.67, 37.86, 39.41, 40.61, 41.96, 43.47, 44.76, 46.0, 47.29, 48.54, 49.84, 51.07, 52.29, 53.5] 2021-02-04 23:34:10.960: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:34:10.960: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.21 2021-02-04 23:34:10.960: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:34:10.960: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:34:11.052: INFO @evaluate_confidence: Previous accuracy would be: 35.57 2021-02-04 23:34:11.052: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:34:11.055: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.5, 47.58, 49.05, 50.12, 51.5, 53.19, 54.8, 56.63, 57.98, 60.0, 61.38] 2021-02-04 23:34:11.055: INFO @evaluate_confidence: Dropped ratios are: [52.63, 56.46, 60.13, 63.54, 66.64, 69.32, 71.57, 73.75, 75.73, 77.58, 79.07] 2021-02-04 23:34:11.056: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:34:11.056: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:34:11.057: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:34:11.057: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.20 2021-02-04 23:34:11.131: INFO @evaluate_confidence: Previous accuracy would be: 86.20 2021-02-04 23:34:11.131: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:34:11.133: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.06, 92.4, 92.52, 92.91, 93.17, 93.37, 93.7, 94.04, 94.16, 94.34, 94.62, 94.93, 95.12, 95.48, 95.73, 96.03, 96.14, 96.42, 96.71, 96.91, 97.01, 97.08] 2021-02-04 23:34:11.133: INFO @evaluate_confidence: Dropped ratios are: [23.23, 24.39, 25.54, 27.12, 28.35, 29.65, 31.16, 32.64, 33.84, 34.9, 36.13, 37.63, 38.76, 39.99, 41.24, 42.42, 43.43, 44.58, 45.84, 47.27, 48.04, 49.22] 2021-02-04 23:34:11.134: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:34:11.134: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.43 +- 0.18 2021-02-04 23:34:11.134: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.11 2021-02-04 23:34:11.135: INFO @evaluate_confidence: Average confidence of all samples 0.39 +- 0.14 2021-02-04 23:34:11.227: INFO @evaluate_confidence: Previous accuracy would be: 38.99 2021-02-04 23:34:11.227: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42] 2021-02-04 23:34:11.228: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.59, 50.45, 51.99, 53.93, 55.15, 55.33, 56.73] 2021-02-04 23:34:11.228: INFO @evaluate_confidence: Dropped ratios are: [55.59, 61.21, 65.25, 68.69, 71.75, 74.56, 77.27] 2021-02-04 23:34:11.238: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:34:11.588: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:34:11.654: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:34:11.903: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:34:12.061: INFO @decay_lr : LR updated to `0.00017812359` 2021-02-04 23:34:12.062: INFO @log_profile : T train: 12.862395 2021-02-04 23:34:12.062: INFO @log_profile : T valid: 1.569614 2021-02-04 23:34:12.062: INFO @log_profile : T read data: 0.505922 2021-02-04 23:34:12.062: INFO @log_profile : T hooks: 4.452944 2021-02-04 23:34:12.062: INFO @main_loop : Epoch 104 done 2021-02-04 23:34:12.062: INFO @main_loop : Training epoch 105 2021-02-04 23:34:27.578: INFO @log_variables: train loss nanmean: 1.477220 2021-02-04 23:34:27.579: INFO @log_variables: train age_loss mean: 11.111207 2021-02-04 23:34:27.579: INFO @log_variables: train gender_loss mean: 0.373511 2021-02-04 23:34:27.579: INFO @log_variables: train age_mae mean: 10.481681 2021-02-04 23:34:27.579: INFO @log_variables: train gender_accuracy mean: 0.833840 2021-02-04 23:34:27.579: INFO @log_variables: train gender_confidence/loss nanmean: 0.073784 2021-02-04 23:34:27.579: INFO @log_variables: train gender_confidence/accuracy mean: 0.743924 2021-02-04 23:34:27.579: INFO @log_variables: train age_confidence/loss mean: 0.053771 2021-02-04 23:34:27.579: INFO @log_variables: train age_confidence/accuracy mean: 0.691189 2021-02-04 23:34:27.579: INFO @log_variables: valid loss nanmean: 1.346900 2021-02-04 23:34:27.579: INFO @log_variables: valid age_loss mean: 10.203223 2021-02-04 23:34:27.579: INFO @log_variables: valid gender_loss mean: 0.318661 2021-02-04 23:34:27.579: INFO @log_variables: valid age_mae mean: 9.585522 2021-02-04 23:34:27.579: INFO @log_variables: valid gender_accuracy mean: 0.864275 2021-02-04 23:34:27.579: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071823 2021-02-04 23:34:27.579: INFO @log_variables: valid gender_confidence/accuracy mean: 0.805319 2021-02-04 23:34:27.579: INFO @log_variables: valid age_confidence/loss mean: 0.057820 2021-02-04 23:34:27.580: INFO @log_variables: valid age_confidence/accuracy mean: 0.657802 2021-02-04 23:34:27.580: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:34:27.581: INFO @metrics_hook: train age_mae: 10.482 +-0.166 (13824) 2021-02-04 23:34:27.583: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-02-04 23:34:29.054: INFO @metrics_hook: valid age_mae: 9.586 +-0.282 (3986) 2021-02-04 23:34:29.054: INFO @metrics_hook: valid gender_accuracy: 0.864 +-0.011 (3986) 2021-02-04 23:34:30.415: INFO @decay_lr : LR updated to `0.00017723297` 2021-02-04 23:34:30.617: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:34:30.618: INFO @log_profile : T train: 12.896209 2021-02-04 23:34:30.618: INFO @log_profile : T valid: 1.579253 2021-02-04 23:34:30.618: INFO @log_profile : T read data: 0.392568 2021-02-04 23:34:30.618: INFO @log_profile : T hooks: 3.639849 2021-02-04 23:34:30.619: INFO @main_loop : Epoch 105 done 2021-02-04 23:34:30.619: INFO @main_loop : Training epoch 106 2021-02-04 23:34:45.990: INFO @log_variables: train loss nanmean: 1.478168 2021-02-04 23:34:45.990: INFO @log_variables: train age_loss mean: 11.186128 2021-02-04 23:34:45.990: INFO @log_variables: train gender_loss mean: 0.369644 2021-02-04 23:34:45.990: INFO @log_variables: train age_mae mean: 10.559959 2021-02-04 23:34:45.990: INFO @log_variables: train gender_accuracy mean: 0.831019 2021-02-04 23:34:45.990: INFO @log_variables: train gender_confidence/loss nanmean: 0.072933 2021-02-04 23:34:45.990: INFO @log_variables: train gender_confidence/accuracy mean: 0.739800 2021-02-04 23:34:45.991: INFO @log_variables: train age_confidence/loss mean: 0.052273 2021-02-04 23:34:45.991: INFO @log_variables: train age_confidence/accuracy mean: 0.704427 2021-02-04 23:34:45.991: INFO @log_variables: valid loss nanmean: 1.323311 2021-02-04 23:34:45.991: INFO @log_variables: valid age_loss mean: 9.986515 2021-02-04 23:34:45.991: INFO @log_variables: valid gender_loss mean: 0.313831 2021-02-04 23:34:45.991: INFO @log_variables: valid age_mae mean: 9.376733 2021-02-04 23:34:45.991: INFO @log_variables: valid gender_accuracy mean: 0.864024 2021-02-04 23:34:45.991: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072326 2021-02-04 23:34:45.991: INFO @log_variables: valid gender_confidence/accuracy mean: 0.799548 2021-02-04 23:34:45.991: INFO @log_variables: valid age_confidence/loss mean: 0.057819 2021-02-04 23:34:45.991: INFO @log_variables: valid age_confidence/accuracy mean: 0.659809 2021-02-04 23:34:45.991: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:34:45.993: INFO @metrics_hook: train age_mae: 10.560 +-0.164 (13824) 2021-02-04 23:34:45.994: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-02-04 23:34:47.398: INFO @metrics_hook: valid age_mae: 9.377 +-0.272 (3986) 2021-02-04 23:34:47.398: INFO @metrics_hook: valid gender_accuracy: 0.864 +-0.011 (3986) 2021-02-04 23:34:48.622: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:34:48.622: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:34:48.622: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:34:48.622: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:34:48.699: INFO @evaluate_confidence: Previous accuracy would be: 83.10 2021-02-04 23:34:48.699: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:34:48.703: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [89.75, 90.07, 90.34, 90.73, 91.04, 91.39, 91.66, 91.87, 92.19, 92.47, 92.74, 92.99, 93.37, 93.7, 94.0, 94.26, 94.41, 94.77, 95.04] 2021-02-04 23:34:48.703: INFO @evaluate_confidence: Dropped ratios are: [29.03, 30.55, 31.94, 33.34, 34.84, 36.18, 37.41, 38.59, 39.98, 41.46, 42.84, 44.14, 45.44, 46.71, 48.19, 49.48, 50.73, 52.0, 53.29] 2021-02-04 23:34:48.709: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:34:48.709: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.22 2021-02-04 23:34:48.709: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.36 +- 0.10 2021-02-04 23:34:48.709: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:34:48.803: INFO @evaluate_confidence: Previous accuracy would be: 35.42 2021-02-04 23:34:48.803: INFO @evaluate_confidence: Possible optimal thresholds are: [0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48] 2021-02-04 23:34:48.806: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [46.43, 47.85, 49.34, 50.85, 52.34, 53.8, 55.21, 56.67, 58.41, 59.64, 61.53, 62.89, 64.32] 2021-02-04 23:34:48.806: INFO @evaluate_confidence: Dropped ratios are: [51.17, 54.93, 58.61, 62.13, 65.15, 67.96, 70.3, 72.55, 74.76, 76.48, 78.07, 79.61, 80.96] 2021-02-04 23:34:48.808: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:34:48.808: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.20 2021-02-04 23:34:48.808: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.16 2021-02-04 23:34:48.808: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.21 2021-02-04 23:34:48.878: INFO @evaluate_confidence: Previous accuracy would be: 86.40 2021-02-04 23:34:48.878: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:34:48.880: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.62, 92.82, 92.94, 93.27, 93.39, 93.64, 93.8, 94.1, 94.29, 94.4, 94.53, 94.73, 95.08, 95.32, 95.66, 95.74, 95.92, 96.24, 96.51, 96.58, 96.95, 96.98, 97.11] 2021-02-04 23:34:48.880: INFO @evaluate_confidence: Dropped ratios are: [24.21, 25.59, 26.77, 28.05, 29.05, 30.53, 31.66, 32.79, 33.67, 35.05, 36.3, 37.68, 38.84, 39.94, 41.09, 42.22, 43.48, 44.63, 46.01, 47.22, 48.19, 49.4, 50.53] 2021-02-04 23:34:48.882: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:34:48.882: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.18 2021-02-04 23:34:48.882: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:34:48.882: INFO @evaluate_confidence: Average confidence of all samples 0.40 +- 0.14 2021-02-04 23:34:48.971: INFO @evaluate_confidence: Previous accuracy would be: 38.08 2021-02-04 23:34:48.971: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:34:48.972: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.59, 49.62, 51.24, 53.02, 54.15, 55.34, 55.88, 58.05] 2021-02-04 23:34:48.972: INFO @evaluate_confidence: Dropped ratios are: [52.91, 57.07, 61.52, 65.5, 68.59, 71.8, 74.18, 76.79] 2021-02-04 23:34:48.981: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:34:49.347: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:34:49.411: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:34:49.660: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:34:49.805: INFO @decay_lr : LR updated to `0.0001763468` 2021-02-04 23:34:49.806: INFO @log_profile : T train: 12.836524 2021-02-04 23:34:49.806: INFO @log_profile : T valid: 1.541357 2021-02-04 23:34:49.806: INFO @log_profile : T read data: 0.399906 2021-02-04 23:34:49.806: INFO @log_profile : T hooks: 4.363155 2021-02-04 23:34:49.806: INFO @main_loop : Epoch 106 done 2021-02-04 23:34:49.806: INFO @main_loop : Training epoch 107 2021-02-04 23:35:04.873: INFO @log_variables: train loss nanmean: 1.460708 2021-02-04 23:35:04.873: INFO @log_variables: train age_loss mean: 11.046863 2021-02-04 23:35:04.873: INFO @log_variables: train gender_loss mean: 0.362964 2021-02-04 23:35:04.873: INFO @log_variables: train age_mae mean: 10.423071 2021-02-04 23:35:04.873: INFO @log_variables: train gender_accuracy mean: 0.839574 2021-02-04 23:35:04.873: INFO @log_variables: train gender_confidence/loss nanmean: 0.073552 2021-02-04 23:35:04.873: INFO @log_variables: train gender_confidence/accuracy mean: 0.739335 2021-02-04 23:35:04.873: INFO @log_variables: train age_confidence/loss mean: 0.052928 2021-02-04 23:35:04.873: INFO @log_variables: train age_confidence/accuracy mean: 0.700442 2021-02-04 23:35:04.873: INFO @log_variables: valid loss nanmean: 1.347272 2021-02-04 23:35:04.873: INFO @log_variables: valid age_loss mean: 10.171338 2021-02-04 23:35:04.873: INFO @log_variables: valid gender_loss mean: 0.322387 2021-02-04 23:35:04.873: INFO @log_variables: valid age_mae mean: 9.547467 2021-02-04 23:35:04.874: INFO @log_variables: valid gender_accuracy mean: 0.853989 2021-02-04 23:35:04.874: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071768 2021-02-04 23:35:04.874: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809584 2021-02-04 23:35:04.874: INFO @log_variables: valid age_confidence/loss mean: 0.057758 2021-02-04 23:35:04.874: INFO @log_variables: valid age_confidence/accuracy mean: 0.653287 2021-02-04 23:35:04.874: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:35:04.875: INFO @metrics_hook: train age_mae: 10.423 +-0.164 (13807) 2021-02-04 23:35:04.877: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13807) 2021-02-04 23:35:06.265: INFO @metrics_hook: valid age_mae: 9.547 +-0.279 (3986) 2021-02-04 23:35:06.265: INFO @metrics_hook: valid gender_accuracy: 0.854 +-0.011 (3986) 2021-02-04 23:35:07.621: INFO @decay_lr : LR updated to `0.00017546507` 2021-02-04 23:35:07.622: INFO @log_profile : T train: 12.383325 2021-02-04 23:35:07.622: INFO @log_profile : T valid: 1.557904 2021-02-04 23:35:07.622: INFO @log_profile : T read data: 0.496447 2021-02-04 23:35:07.622: INFO @log_profile : T hooks: 3.333395 2021-02-04 23:35:07.622: INFO @main_loop : Epoch 107 done 2021-02-04 23:35:07.622: INFO @main_loop : Training epoch 108 2021-02-04 23:35:23.205: INFO @log_variables: train loss nanmean: 1.463532 2021-02-04 23:35:23.205: INFO @log_variables: train age_loss mean: 11.069988 2021-02-04 23:35:23.205: INFO @log_variables: train gender_loss mean: 0.363102 2021-02-04 23:35:23.205: INFO @log_variables: train age_mae mean: 10.445982 2021-02-04 23:35:23.205: INFO @log_variables: train gender_accuracy mean: 0.835793 2021-02-04 23:35:23.205: INFO @log_variables: train gender_confidence/loss nanmean: 0.074004 2021-02-04 23:35:23.205: INFO @log_variables: train gender_confidence/accuracy mean: 0.745877 2021-02-04 23:35:23.206: INFO @log_variables: train age_confidence/loss mean: 0.053072 2021-02-04 23:35:23.206: INFO @log_variables: train age_confidence/accuracy mean: 0.700376 2021-02-04 23:35:23.206: INFO @log_variables: valid loss nanmean: 1.341501 2021-02-04 23:35:23.206: INFO @log_variables: valid age_loss mean: 10.039373 2021-02-04 23:35:23.206: INFO @log_variables: valid gender_loss mean: 0.324053 2021-02-04 23:35:23.206: INFO @log_variables: valid age_mae mean: 9.427966 2021-02-04 23:35:23.206: INFO @log_variables: valid gender_accuracy mean: 0.859759 2021-02-04 23:35:23.206: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074682 2021-02-04 23:35:23.206: INFO @log_variables: valid gender_confidence/accuracy mean: 0.815605 2021-02-04 23:35:23.206: INFO @log_variables: valid age_confidence/loss mean: 0.059555 2021-02-04 23:35:23.206: INFO @log_variables: valid age_confidence/accuracy mean: 0.649272 2021-02-04 23:35:23.206: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:35:23.207: INFO @metrics_hook: train age_mae: 10.446 +-0.165 (13824) 2021-02-04 23:35:23.209: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-02-04 23:35:24.614: INFO @metrics_hook: valid age_mae: 9.428 +-0.282 (3986) 2021-02-04 23:35:24.614: INFO @metrics_hook: valid gender_accuracy: 0.860 +-0.011 (3986) 2021-02-04 23:35:25.851: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:35:25.851: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:35:25.851: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:35:25.852: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:35:25.930: INFO @evaluate_confidence: Previous accuracy would be: 83.58 2021-02-04 23:35:25.931: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:35:25.935: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.13, 90.4, 90.64, 90.92, 91.2, 91.47, 91.74, 92.05, 92.37, 92.6, 92.96, 93.32, 93.6, 93.82, 94.11, 94.45, 94.71, 94.81, 95.09] 2021-02-04 23:35:25.935: INFO @evaluate_confidence: Dropped ratios are: [28.53, 29.77, 31.21, 32.74, 34.17, 35.61, 36.96, 38.47, 39.87, 41.15, 42.35, 43.78, 45.25, 46.55, 48.03, 49.42, 50.87, 52.06, 53.47] 2021-02-04 23:35:25.941: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:35:25.941: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:35:25.941: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:35:25.941: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:35:26.028: INFO @evaluate_confidence: Previous accuracy would be: 36.13 2021-02-04 23:35:26.028: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:35:26.031: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.93, 49.15, 50.9, 52.33, 53.69, 55.07, 56.76, 58.3, 59.79, 61.45, 62.9, 64.36, 66.22] 2021-02-04 23:35:26.031: INFO @evaluate_confidence: Dropped ratios are: [53.44, 57.1, 60.82, 63.93, 66.76, 69.28, 71.64, 73.68, 75.55, 77.13, 78.75, 80.01, 81.31] 2021-02-04 23:35:26.033: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:35:26.033: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.19 2021-02-04 23:35:26.033: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.16 2021-02-04 23:35:26.033: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.20 2021-02-04 23:35:26.097: INFO @evaluate_confidence: Previous accuracy would be: 85.98 2021-02-04 23:35:26.097: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:35:26.099: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.83, 92.02, 92.2, 92.39, 92.75, 92.98, 93.17, 93.49, 93.78, 94.04, 94.46, 94.6, 94.89, 94.99, 95.51, 95.61, 95.71, 95.77, 95.95, 96.05, 96.47] 2021-02-04 23:35:26.099: INFO @evaluate_confidence: Dropped ratios are: [22.91, 23.88, 25.34, 26.44, 27.72, 28.88, 30.21, 31.38, 32.66, 33.87, 35.25, 36.3, 37.63, 38.91, 40.24, 41.14, 42.1, 43.05, 44.2, 45.36, 46.69] 2021-02-04 23:35:26.100: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:35:26.100: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:35:26.100: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:35:26.100: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:35:26.187: INFO @evaluate_confidence: Previous accuracy would be: 39.39 2021-02-04 23:35:26.187: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:35:26.188: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.0, 50.36, 51.38, 52.48, 52.91, 54.2, 54.76, 56.06, 57.17, 58.9] 2021-02-04 23:35:26.188: INFO @evaluate_confidence: Dropped ratios are: [49.72, 54.42, 58.1, 61.52, 64.63, 68.01, 70.72, 73.51, 75.87, 78.02] 2021-02-04 23:35:26.197: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:35:26.519: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:35:26.576: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:35:26.812: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:35:26.950: INFO @decay_lr : LR updated to `0.00017458775` 2021-02-04 23:35:26.951: INFO @log_profile : T train: 12.936569 2021-02-04 23:35:26.951: INFO @log_profile : T valid: 1.620165 2021-02-04 23:35:26.951: INFO @log_profile : T read data: 0.404308 2021-02-04 23:35:26.951: INFO @log_profile : T hooks: 4.319395 2021-02-04 23:35:26.951: INFO @main_loop : Epoch 108 done 2021-02-04 23:35:26.951: INFO @main_loop : Training epoch 109 2021-02-04 23:35:41.824: INFO @log_variables: train loss nanmean: 1.476327 2021-02-04 23:35:41.824: INFO @log_variables: train age_loss mean: 11.055888 2021-02-04 23:35:41.824: INFO @log_variables: train gender_loss mean: 0.378358 2021-02-04 23:35:41.824: INFO @log_variables: train age_mae mean: 10.430860 2021-02-04 23:35:41.825: INFO @log_variables: train gender_accuracy mean: 0.829355 2021-02-04 23:35:41.825: INFO @log_variables: train gender_confidence/loss nanmean: 0.073968 2021-02-04 23:35:41.825: INFO @log_variables: train gender_confidence/accuracy mean: 0.739294 2021-02-04 23:35:41.825: INFO @log_variables: train age_confidence/loss mean: 0.053316 2021-02-04 23:35:41.825: INFO @log_variables: train age_confidence/accuracy mean: 0.689236 2021-02-04 23:35:41.825: INFO @log_variables: valid loss nanmean: 1.346226 2021-02-04 23:35:41.825: INFO @log_variables: valid age_loss mean: 10.191577 2021-02-04 23:35:41.825: INFO @log_variables: valid gender_loss mean: 0.318533 2021-02-04 23:35:41.825: INFO @log_variables: valid age_mae mean: 9.572476 2021-02-04 23:35:41.825: INFO @log_variables: valid gender_accuracy mean: 0.861515 2021-02-04 23:35:41.825: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071418 2021-02-04 23:35:41.825: INFO @log_variables: valid gender_confidence/accuracy mean: 0.808078 2021-02-04 23:35:41.825: INFO @log_variables: valid age_confidence/loss mean: 0.058726 2021-02-04 23:35:41.825: INFO @log_variables: valid age_confidence/accuracy mean: 0.657802 2021-02-04 23:35:41.825: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:35:41.827: INFO @metrics_hook: train age_mae: 10.431 +-0.165 (13824) 2021-02-04 23:35:41.829: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-02-04 23:35:43.284: INFO @metrics_hook: valid age_mae: 9.572 +-0.280 (3986) 2021-02-04 23:35:43.285: INFO @metrics_hook: valid gender_accuracy: 0.862 +-0.011 (3986) 2021-02-04 23:35:44.610: INFO @decay_lr : LR updated to `0.00017371481` 2021-02-04 23:35:44.611: INFO @log_profile : T train: 12.398009 2021-02-04 23:35:44.611: INFO @log_profile : T valid: 1.490830 2021-02-04 23:35:44.611: INFO @log_profile : T read data: 0.383030 2021-02-04 23:35:44.611: INFO @log_profile : T hooks: 3.343395 2021-02-04 23:35:44.611: INFO @main_loop : Epoch 109 done 2021-02-04 23:35:44.611: INFO @main_loop : Training epoch 110 2021-02-04 23:36:00.794: INFO @log_variables: train loss nanmean: 1.464482 2021-02-04 23:36:00.794: INFO @log_variables: train age_loss mean: 11.061215 2021-02-04 23:36:00.794: INFO @log_variables: train gender_loss mean: 0.365347 2021-02-04 23:36:00.794: INFO @log_variables: train age_mae mean: 10.437007 2021-02-04 23:36:00.795: INFO @log_variables: train gender_accuracy mean: 0.834866 2021-02-04 23:36:00.795: INFO @log_variables: train gender_confidence/loss nanmean: 0.073237 2021-02-04 23:36:00.795: INFO @log_variables: train gender_confidence/accuracy mean: 0.745129 2021-02-04 23:36:00.795: INFO @log_variables: train age_confidence/loss mean: 0.053547 2021-02-04 23:36:00.795: INFO @log_variables: train age_confidence/accuracy mean: 0.694430 2021-02-04 23:36:00.795: INFO @log_variables: valid loss nanmean: 1.330205 2021-02-04 23:36:00.795: INFO @log_variables: valid age_loss mean: 10.042559 2021-02-04 23:36:00.795: INFO @log_variables: valid gender_loss mean: 0.315928 2021-02-04 23:36:00.795: INFO @log_variables: valid age_mae mean: 9.426303 2021-02-04 23:36:00.795: INFO @log_variables: valid gender_accuracy mean: 0.863271 2021-02-04 23:36:00.795: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071167 2021-02-04 23:36:00.795: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809333 2021-02-04 23:36:00.795: INFO @log_variables: valid age_confidence/loss mean: 0.058871 2021-02-04 23:36:00.795: INFO @log_variables: valid age_confidence/accuracy mean: 0.645509 2021-02-04 23:36:00.795: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:36:00.797: INFO @metrics_hook: train age_mae: 10.437 +-0.167 (13807) 2021-02-04 23:36:00.799: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13807) 2021-02-04 23:36:02.221: INFO @metrics_hook: valid age_mae: 9.426 +-0.275 (3986) 2021-02-04 23:36:02.221: INFO @metrics_hook: valid gender_accuracy: 0.863 +-0.011 (3986) 2021-02-04 23:36:03.490: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:36:03.490: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:36:03.490: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:36:03.490: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:36:03.568: INFO @evaluate_confidence: Previous accuracy would be: 83.49 2021-02-04 23:36:03.568: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:36:03.572: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.23, 90.56, 90.87, 91.12, 91.39, 91.72, 92.08, 92.31, 92.65, 92.93, 93.17, 93.57, 93.85, 94.08, 94.47, 94.69, 95.03, 95.15, 95.26] 2021-02-04 23:36:03.572: INFO @evaluate_confidence: Dropped ratios are: [28.8, 30.43, 31.81, 33.19, 34.53, 35.98, 37.44, 38.8, 40.37, 41.69, 43.04, 44.44, 45.73, 47.14, 48.39, 49.82, 51.2, 52.39, 53.73] 2021-02-04 23:36:03.578: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:36:03.578: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:36:03.578: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:36:03.579: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.16 2021-02-04 23:36:03.661: INFO @evaluate_confidence: Previous accuracy would be: 36.52 2021-02-04 23:36:03.661: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:36:03.664: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.56, 49.06, 50.88, 52.45, 54.02, 55.69, 57.69, 59.32, 60.54, 62.06, 63.23, 64.56, 65.63] 2021-02-04 23:36:03.664: INFO @evaluate_confidence: Dropped ratios are: [53.4, 57.1, 60.66, 63.67, 66.37, 68.93, 71.43, 73.56, 75.4, 77.11, 78.53, 79.73, 80.91] 2021-02-04 23:36:03.666: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:36:03.666: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:36:03.666: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:36:03.666: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.21 2021-02-04 23:36:03.738: INFO @evaluate_confidence: Previous accuracy would be: 86.33 2021-02-04 23:36:03.738: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:36:03.739: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.58, 92.8, 93.02, 93.22, 93.49, 93.78, 94.21, 94.35, 94.71, 94.93, 95.16, 95.24, 95.47, 95.72, 95.77, 95.9, 96.01, 96.1, 96.2, 96.49, 96.56, 96.77] 2021-02-04 23:36:03.739: INFO @evaluate_confidence: Dropped ratios are: [24.64, 25.46, 26.29, 27.52, 28.73, 29.8, 31.16, 32.56, 34.09, 35.2, 36.25, 37.33, 38.48, 39.56, 40.64, 41.82, 42.8, 44.0, 45.18, 46.36, 47.57, 48.7] 2021-02-04 23:36:03.741: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:36:03.741: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.17 2021-02-04 23:36:03.741: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.10 2021-02-04 23:36:03.741: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:36:03.829: INFO @evaluate_confidence: Previous accuracy would be: 39.19 2021-02-04 23:36:03.829: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:36:03.830: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.33, 51.58, 52.99, 54.29, 55.62, 56.2, 57.81] 2021-02-04 23:36:03.830: INFO @evaluate_confidence: Dropped ratios are: [55.04, 59.63, 63.87, 67.56, 70.77, 73.71, 76.22] 2021-02-04 23:36:03.838: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:36:04.167: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:04.221: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:36:04.460: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:04.516: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:36:04.816: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:04.868: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:36:04.868: INFO @evaluate_gender-age_model: groups 0 8.477387 1 10.996037 2 10.439467 3 8.607128 4 10.035284 5 10.811761 6 12.979818 7 11.100208 Name: errors, dtype: float64 2021-02-04 23:36:04.869: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:36:05.105: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:05.157: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:36:05.158: INFO @evaluate_gender-age_model: groups 0 8.561268 1 9.543456 2 8.859614 3 7.800116 4 9.570495 5 10.570596 6 11.347746 7 9.664235 Name: errors, dtype: float64 2021-02-04 23:36:05.248: INFO @decay_lr : LR updated to `0.00017284624` 2021-02-04 23:36:05.249: INFO @log_profile : T train: 12.897100 2021-02-04 23:36:05.249: INFO @log_profile : T valid: 1.616912 2021-02-04 23:36:05.249: INFO @log_profile : T read data: 0.500279 2021-02-04 23:36:05.249: INFO @log_profile : T hooks: 5.575395 2021-02-04 23:36:05.249: INFO @main_loop : Epoch 110 done 2021-02-04 23:36:05.249: INFO @main_loop : Training epoch 111 2021-02-04 23:36:20.786: INFO @log_variables: train loss nanmean: 1.462288 2021-02-04 23:36:20.786: INFO @log_variables: train age_loss mean: 11.008910 2021-02-04 23:36:20.786: INFO @log_variables: train gender_loss mean: 0.366905 2021-02-04 23:36:20.786: INFO @log_variables: train age_mae mean: 10.386525 2021-02-04 23:36:20.786: INFO @log_variables: train gender_accuracy mean: 0.836950 2021-02-04 23:36:20.786: INFO @log_variables: train gender_confidence/loss nanmean: 0.074429 2021-02-04 23:36:20.786: INFO @log_variables: train gender_confidence/accuracy mean: 0.737630 2021-02-04 23:36:20.786: INFO @log_variables: train age_confidence/loss mean: 0.053499 2021-02-04 23:36:20.786: INFO @log_variables: train age_confidence/accuracy mean: 0.696976 2021-02-04 23:36:20.786: INFO @log_variables: valid loss nanmean: 1.316035 2021-02-04 23:36:20.786: INFO @log_variables: valid age_loss mean: 9.960360 2021-02-04 23:36:20.787: INFO @log_variables: valid gender_loss mean: 0.306873 2021-02-04 23:36:20.787: INFO @log_variables: valid age_mae mean: 9.343553 2021-02-04 23:36:20.787: INFO @log_variables: valid gender_accuracy mean: 0.864024 2021-02-04 23:36:20.787: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071374 2021-02-04 23:36:20.787: INFO @log_variables: valid gender_confidence/accuracy mean: 0.820622 2021-02-04 23:36:20.787: INFO @log_variables: valid age_confidence/loss mean: 0.060199 2021-02-04 23:36:20.787: INFO @log_variables: valid age_confidence/accuracy mean: 0.638986 2021-02-04 23:36:20.787: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:36:20.789: INFO @metrics_hook: train age_mae: 10.387 +-0.166 (13824) 2021-02-04 23:36:20.790: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-02-04 23:36:22.220: INFO @metrics_hook: valid age_mae: 9.344 +-0.280 (3986) 2021-02-04 23:36:22.220: INFO @metrics_hook: valid gender_accuracy: 0.864 +-0.011 (3986) 2021-02-04 23:36:23.561: INFO @decay_lr : LR updated to `0.000171982` 2021-02-04 23:36:23.562: INFO @log_profile : T train: 12.970490 2021-02-04 23:36:23.562: INFO @log_profile : T valid: 1.526530 2021-02-04 23:36:23.562: INFO @log_profile : T read data: 0.402075 2021-02-04 23:36:23.562: INFO @log_profile : T hooks: 3.364915 2021-02-04 23:36:23.562: INFO @main_loop : Epoch 111 done 2021-02-04 23:36:23.562: INFO @main_loop : Training epoch 112 2021-02-04 23:36:39.075: INFO @log_variables: train loss nanmean: 1.460261 2021-02-04 23:36:39.075: INFO @log_variables: train age_loss mean: 11.030155 2021-02-04 23:36:39.075: INFO @log_variables: train gender_loss mean: 0.363134 2021-02-04 23:36:39.075: INFO @log_variables: train age_mae mean: 10.409039 2021-02-04 23:36:39.075: INFO @log_variables: train gender_accuracy mean: 0.838035 2021-02-04 23:36:39.075: INFO @log_variables: train gender_confidence/loss nanmean: 0.073706 2021-02-04 23:36:39.075: INFO @log_variables: train gender_confidence/accuracy mean: 0.748119 2021-02-04 23:36:39.075: INFO @log_variables: train age_confidence/loss mean: 0.053692 2021-02-04 23:36:39.075: INFO @log_variables: train age_confidence/accuracy mean: 0.694372 2021-02-04 23:36:39.075: INFO @log_variables: valid loss nanmean: 1.323289 2021-02-04 23:36:39.075: INFO @log_variables: valid age_loss mean: 10.046702 2021-02-04 23:36:39.076: INFO @log_variables: valid gender_loss mean: 0.309162 2021-02-04 23:36:39.076: INFO @log_variables: valid age_mae mean: 9.432467 2021-02-04 23:36:39.076: INFO @log_variables: valid gender_accuracy mean: 0.866784 2021-02-04 23:36:39.076: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071617 2021-02-04 23:36:39.076: INFO @log_variables: valid gender_confidence/accuracy mean: 0.807075 2021-02-04 23:36:39.076: INFO @log_variables: valid age_confidence/loss mean: 0.057279 2021-02-04 23:36:39.076: INFO @log_variables: valid age_confidence/accuracy mean: 0.655043 2021-02-04 23:36:39.076: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:36:39.078: INFO @metrics_hook: train age_mae: 10.409 +-0.166 (13824) 2021-02-04 23:36:39.079: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-02-04 23:36:40.601: INFO @metrics_hook: valid age_mae: 9.432 +-0.272 (3986) 2021-02-04 23:36:40.602: INFO @metrics_hook: valid gender_accuracy: 0.867 +-0.011 (3986) 2021-02-04 23:36:41.964: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:36:41.964: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:36:41.964: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:36:41.964: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:36:42.051: INFO @evaluate_confidence: Previous accuracy would be: 83.80 2021-02-04 23:36:42.051: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:36:42.055: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.26, 90.5, 90.76, 91.08, 91.44, 91.7, 92.0, 92.39, 92.76, 93.11, 93.37, 93.62, 93.89, 94.11, 94.31, 94.43, 94.68, 94.86, 95.17] 2021-02-04 23:36:42.055: INFO @evaluate_confidence: Dropped ratios are: [28.16, 29.76, 31.31, 33.0, 34.45, 35.86, 37.39, 38.86, 40.22, 41.56, 42.93, 44.36, 45.78, 46.98, 48.23, 49.6, 50.93, 52.02, 53.38] 2021-02-04 23:36:42.063: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:36:42.063: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:36:42.063: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:36:42.063: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.16 2021-02-04 23:36:42.171: INFO @evaluate_confidence: Previous accuracy would be: 36.56 2021-02-04 23:36:42.172: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:36:42.175: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.52, 48.95, 49.99, 51.36, 52.82, 54.23, 55.69, 57.14, 58.64, 60.08, 61.82, 63.0, 64.88] 2021-02-04 23:36:42.175: INFO @evaluate_confidence: Dropped ratios are: [51.95, 55.8, 59.05, 62.34, 65.32, 67.82, 70.25, 72.54, 74.54, 76.35, 77.97, 79.35, 80.58] 2021-02-04 23:36:42.177: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:36:42.177: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.20 2021-02-04 23:36:42.177: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.15 2021-02-04 23:36:42.177: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.21 2021-02-04 23:36:42.261: INFO @evaluate_confidence: Previous accuracy would be: 86.68 2021-02-04 23:36:42.262: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:36:42.264: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.31, 92.71, 92.96, 93.13, 93.59, 93.97, 94.26, 94.51, 94.79, 95.06, 95.29, 95.35, 95.57, 95.74, 96.17, 96.27, 96.37, 96.56, 96.67, 96.92, 96.95, 97.17, 97.21, 97.2] 2021-02-04 23:36:42.264: INFO @evaluate_confidence: Dropped ratios are: [22.38, 23.93, 25.14, 26.27, 27.65, 28.85, 30.48, 31.94, 33.04, 34.02, 35.5, 36.83, 38.21, 39.29, 40.37, 41.47, 42.62, 43.8, 44.98, 46.19, 47.42, 48.6, 49.6, 50.68] 2021-02-04 23:36:42.266: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:36:42.266: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:36:42.266: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.10 2021-02-04 23:36:42.266: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:36:42.360: INFO @evaluate_confidence: Previous accuracy would be: 37.26 2021-02-04 23:36:42.360: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:36:42.361: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.57, 48.07, 49.23, 50.11, 50.59, 51.51, 52.97, 54.24, 54.69] 2021-02-04 23:36:42.361: INFO @evaluate_confidence: Dropped ratios are: [52.96, 57.0, 60.91, 64.55, 67.86, 70.92, 73.43, 75.72, 77.52] 2021-02-04 23:36:42.372: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:36:42.747: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:42.807: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:36:43.074: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:36:43.218: INFO @decay_lr : LR updated to `0.00017112208` 2021-02-04 23:36:43.448: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:36:43.450: INFO @log_profile : T train: 12.798609 2021-02-04 23:36:43.450: INFO @log_profile : T valid: 1.652361 2021-02-04 23:36:43.450: INFO @log_profile : T read data: 0.405957 2021-02-04 23:36:43.450: INFO @log_profile : T hooks: 4.981567 2021-02-04 23:36:43.450: INFO @main_loop : Epoch 112 done 2021-02-04 23:36:43.450: INFO @main_loop : Training epoch 113 2021-02-04 23:36:59.111: INFO @log_variables: train loss nanmean: 1.458718 2021-02-04 23:36:59.111: INFO @log_variables: train age_loss mean: 10.997172 2021-02-04 23:36:59.111: INFO @log_variables: train gender_loss mean: 0.365201 2021-02-04 23:36:59.111: INFO @log_variables: train age_mae mean: 10.375790 2021-02-04 23:36:59.111: INFO @log_variables: train gender_accuracy mean: 0.833925 2021-02-04 23:36:59.111: INFO @log_variables: train gender_confidence/loss nanmean: 0.073153 2021-02-04 23:36:59.111: INFO @log_variables: train gender_confidence/accuracy mean: 0.748823 2021-02-04 23:36:59.112: INFO @log_variables: train age_confidence/loss mean: 0.053822 2021-02-04 23:36:59.112: INFO @log_variables: train age_confidence/accuracy mean: 0.690085 2021-02-04 23:36:59.112: INFO @log_variables: valid loss nanmean: 1.325886 2021-02-04 23:36:59.112: INFO @log_variables: valid age_loss mean: 9.931643 2021-02-04 23:36:59.112: INFO @log_variables: valid gender_loss mean: 0.317620 2021-02-04 23:36:59.112: INFO @log_variables: valid age_mae mean: 9.318354 2021-02-04 23:36:59.112: INFO @log_variables: valid gender_accuracy mean: 0.868289 2021-02-04 23:36:59.112: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074080 2021-02-04 23:36:59.112: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822880 2021-02-04 23:36:59.112: INFO @log_variables: valid age_confidence/loss mean: 0.060184 2021-02-04 23:36:59.112: INFO @log_variables: valid age_confidence/accuracy mean: 0.642248 2021-02-04 23:36:59.112: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:36:59.114: INFO @metrics_hook: train age_mae: 10.376 +-0.164 (13807) 2021-02-04 23:36:59.116: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13807) 2021-02-04 23:37:00.560: INFO @metrics_hook: valid age_mae: 9.318 +-0.274 (3986) 2021-02-04 23:37:00.560: INFO @metrics_hook: valid gender_accuracy: 0.868 +-0.011 (3986) 2021-02-04 23:37:01.936: INFO @decay_lr : LR updated to `0.00017026647` 2021-02-04 23:37:02.146: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:37:02.147: INFO @log_profile : T train: 12.901843 2021-02-04 23:37:02.147: INFO @log_profile : T valid: 1.615262 2021-02-04 23:37:02.147: INFO @log_profile : T read data: 0.500597 2021-02-04 23:37:02.147: INFO @log_profile : T hooks: 3.630624 2021-02-04 23:37:02.147: INFO @main_loop : Epoch 113 done 2021-02-04 23:37:02.147: INFO @main_loop : Training epoch 114 2021-02-04 23:37:17.721: INFO @log_variables: train loss nanmean: 1.453360 2021-02-04 23:37:17.721: INFO @log_variables: train age_loss mean: 10.944440 2021-02-04 23:37:17.721: INFO @log_variables: train gender_loss mean: 0.363337 2021-02-04 23:37:17.721: INFO @log_variables: train age_mae mean: 10.320629 2021-02-04 23:37:17.721: INFO @log_variables: train gender_accuracy mean: 0.836878 2021-02-04 23:37:17.721: INFO @log_variables: train gender_confidence/loss nanmean: 0.073592 2021-02-04 23:37:17.721: INFO @log_variables: train gender_confidence/accuracy mean: 0.746745 2021-02-04 23:37:17.721: INFO @log_variables: train age_confidence/loss mean: 0.054513 2021-02-04 23:37:17.721: INFO @log_variables: train age_confidence/accuracy mean: 0.687066 2021-02-04 23:37:17.721: INFO @log_variables: valid loss nanmean: 1.324134 2021-02-04 23:37:17.721: INFO @log_variables: valid age_loss mean: 9.954529 2021-02-04 23:37:17.722: INFO @log_variables: valid gender_loss mean: 0.315689 2021-02-04 23:37:17.722: INFO @log_variables: valid age_mae mean: 9.340734 2021-02-04 23:37:17.722: INFO @log_variables: valid gender_accuracy mean: 0.863021 2021-02-04 23:37:17.722: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072575 2021-02-04 23:37:17.722: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809333 2021-02-04 23:37:17.722: INFO @log_variables: valid age_confidence/loss mean: 0.059612 2021-02-04 23:37:17.722: INFO @log_variables: valid age_confidence/accuracy mean: 0.649774 2021-02-04 23:37:17.722: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:37:17.724: INFO @metrics_hook: train age_mae: 10.321 +-0.168 (13824) 2021-02-04 23:37:17.725: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-02-04 23:37:19.159: INFO @metrics_hook: valid age_mae: 9.341 +-0.279 (3986) 2021-02-04 23:37:19.160: INFO @metrics_hook: valid gender_accuracy: 0.863 +-0.011 (3986) 2021-02-04 23:37:20.412: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:37:20.412: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:37:20.412: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:37:20.412: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:37:20.492: INFO @evaluate_confidence: Previous accuracy would be: 83.69 2021-02-04 23:37:20.493: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:37:20.497: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.13, 90.47, 90.82, 91.19, 91.59, 91.98, 92.22, 92.51, 92.8, 93.11, 93.55, 93.78, 94.07, 94.24, 94.53, 94.71, 94.87, 95.08, 95.21] 2021-02-04 23:37:20.497: INFO @evaluate_confidence: Dropped ratios are: [28.15, 29.68, 31.2, 32.73, 34.3, 35.77, 37.34, 38.7, 39.9, 41.38, 42.91, 44.43, 45.8, 47.16, 48.41, 49.68, 50.9, 52.08, 53.36] 2021-02-04 23:37:20.503: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:37:20.503: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.20 2021-02-04 23:37:20.503: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:37:20.503: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.16 2021-02-04 23:37:20.599: INFO @evaluate_confidence: Previous accuracy would be: 37.28 2021-02-04 23:37:20.599: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:37:20.602: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.34, 49.56, 51.24, 52.6, 54.16, 55.46, 56.89, 58.35, 59.91, 61.64, 63.09, 64.71] 2021-02-04 23:37:20.602: INFO @evaluate_confidence: Dropped ratios are: [52.38, 56.23, 59.95, 63.32, 66.13, 68.67, 71.14, 73.22, 75.08, 76.94, 78.54, 79.99] 2021-02-04 23:37:20.604: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:37:20.604: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.20 2021-02-04 23:37:20.604: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.16 2021-02-04 23:37:20.604: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.21 2021-02-04 23:37:20.675: INFO @evaluate_confidence: Previous accuracy would be: 86.30 2021-02-04 23:37:20.675: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:37:20.676: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.16, 92.54, 92.96, 93.21, 93.5, 93.72, 93.97, 94.38, 94.75, 95.0, 95.26, 95.55, 95.92, 96.05, 96.07, 96.29, 96.56, 96.75, 96.78, 96.9, 97.19, 97.19] 2021-02-04 23:37:20.677: INFO @evaluate_confidence: Dropped ratios are: [23.53, 24.71, 25.92, 27.2, 28.65, 30.06, 31.31, 32.54, 33.52, 34.82, 35.98, 37.38, 38.56, 39.66, 40.62, 41.87, 43.1, 44.43, 45.43, 46.64, 48.17, 49.05] 2021-02-04 23:37:20.678: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:37:20.678: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:37:20.678: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.10 2021-02-04 23:37:20.678: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:37:20.769: INFO @evaluate_confidence: Previous accuracy would be: 38.79 2021-02-04 23:37:20.769: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:37:20.770: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.37, 50.43, 52.92, 54.36, 55.95, 57.1, 58.1, 58.2, 58.82] 2021-02-04 23:37:20.770: INFO @evaluate_confidence: Dropped ratios are: [54.21, 58.71, 63.45, 66.91, 70.05, 72.45, 74.44, 76.89, 78.8] 2021-02-04 23:37:20.779: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:37:21.106: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:37:21.160: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:37:21.400: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:37:21.543: INFO @decay_lr : LR updated to `0.00016941514` 2021-02-04 23:37:21.544: INFO @log_profile : T train: 12.943025 2021-02-04 23:37:21.544: INFO @log_profile : T valid: 1.578048 2021-02-04 23:37:21.544: INFO @log_profile : T read data: 0.409410 2021-02-04 23:37:21.544: INFO @log_profile : T hooks: 4.417554 2021-02-04 23:37:21.544: INFO @main_loop : Epoch 114 done 2021-02-04 23:37:21.544: INFO @main_loop : Training epoch 115 2021-02-04 23:37:37.032: INFO @log_variables: train loss nanmean: 1.457237 2021-02-04 23:37:37.032: INFO @log_variables: train age_loss mean: 10.944338 2021-02-04 23:37:37.032: INFO @log_variables: train gender_loss mean: 0.366911 2021-02-04 23:37:37.032: INFO @log_variables: train age_mae mean: 10.324992 2021-02-04 23:37:37.032: INFO @log_variables: train gender_accuracy mean: 0.838469 2021-02-04 23:37:37.032: INFO @log_variables: train gender_confidence/loss nanmean: 0.074216 2021-02-04 23:37:37.032: INFO @log_variables: train gender_confidence/accuracy mean: 0.747396 2021-02-04 23:37:37.032: INFO @log_variables: train age_confidence/loss mean: 0.054527 2021-02-04 23:37:37.032: INFO @log_variables: train age_confidence/accuracy mean: 0.689019 2021-02-04 23:37:37.032: INFO @log_variables: valid loss nanmean: 1.353448 2021-02-04 23:37:37.032: INFO @log_variables: valid age_loss mean: 10.258698 2021-02-04 23:37:37.032: INFO @log_variables: valid gender_loss mean: 0.317934 2021-02-04 23:37:37.032: INFO @log_variables: valid age_mae mean: 9.636015 2021-02-04 23:37:37.032: INFO @log_variables: valid gender_accuracy mean: 0.859759 2021-02-04 23:37:37.032: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071179 2021-02-04 23:37:37.032: INFO @log_variables: valid gender_confidence/accuracy mean: 0.813848 2021-02-04 23:37:37.032: INFO @log_variables: valid age_confidence/loss mean: 0.060629 2021-02-04 23:37:37.032: INFO @log_variables: valid age_confidence/accuracy mean: 0.636478 2021-02-04 23:37:37.032: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:37:37.033: INFO @metrics_hook: train age_mae: 10.325 +-0.167 (13824) 2021-02-04 23:37:37.034: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-02-04 23:37:38.467: INFO @metrics_hook: valid age_mae: 9.636 +-0.291 (3986) 2021-02-04 23:37:38.467: INFO @metrics_hook: valid gender_accuracy: 0.860 +-0.011 (3986) 2021-02-04 23:37:39.836: INFO @decay_lr : LR updated to `0.00016856806` 2021-02-04 23:37:39.837: INFO @log_profile : T train: 12.904575 2021-02-04 23:37:39.837: INFO @log_profile : T valid: 1.557345 2021-02-04 23:37:39.837: INFO @log_profile : T read data: 0.400246 2021-02-04 23:37:39.837: INFO @log_profile : T hooks: 3.382709 2021-02-04 23:37:39.837: INFO @main_loop : Epoch 115 done 2021-02-04 23:37:39.837: INFO @main_loop : Training epoch 116 2021-02-04 23:37:55.467: INFO @log_variables: train loss nanmean: 1.430245 2021-02-04 23:37:55.467: INFO @log_variables: train age_loss mean: 10.769776 2021-02-04 23:37:55.467: INFO @log_variables: train gender_loss mean: 0.357678 2021-02-04 23:37:55.467: INFO @log_variables: train age_mae mean: 10.151526 2021-02-04 23:37:55.467: INFO @log_variables: train gender_accuracy mean: 0.838404 2021-02-04 23:37:55.467: INFO @log_variables: train gender_confidence/loss nanmean: 0.072389 2021-02-04 23:37:55.468: INFO @log_variables: train gender_confidence/accuracy mean: 0.749891 2021-02-04 23:37:55.468: INFO @log_variables: train age_confidence/loss mean: 0.053624 2021-02-04 23:37:55.468: INFO @log_variables: train age_confidence/accuracy mean: 0.696799 2021-02-04 23:37:55.468: INFO @log_variables: valid loss nanmean: 1.323553 2021-02-04 23:37:55.468: INFO @log_variables: valid age_loss mean: 10.050774 2021-02-04 23:37:55.468: INFO @log_variables: valid gender_loss mean: 0.310310 2021-02-04 23:37:55.468: INFO @log_variables: valid age_mae mean: 9.443026 2021-02-04 23:37:55.468: INFO @log_variables: valid gender_accuracy mean: 0.867285 2021-02-04 23:37:55.468: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071064 2021-02-04 23:37:55.468: INFO @log_variables: valid gender_confidence/accuracy mean: 0.813096 2021-02-04 23:37:55.468: INFO @log_variables: valid age_confidence/loss mean: 0.056682 2021-02-04 23:37:55.468: INFO @log_variables: valid age_confidence/accuracy mean: 0.666583 2021-02-04 23:37:55.468: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:37:55.470: INFO @metrics_hook: train age_mae: 10.152 +-0.161 (13806) 2021-02-04 23:37:55.472: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13806) 2021-02-04 23:37:56.919: INFO @metrics_hook: valid age_mae: 9.443 +-0.271 (3986) 2021-02-04 23:37:56.920: INFO @metrics_hook: valid gender_accuracy: 0.867 +-0.011 (3986) 2021-02-04 23:37:58.166: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:37:58.166: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.20 2021-02-04 23:37:58.166: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:37:58.166: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:37:58.247: INFO @evaluate_confidence: Previous accuracy would be: 83.84 2021-02-04 23:37:58.247: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:37:58.251: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.14, 90.58, 90.93, 91.36, 91.77, 92.07, 92.44, 92.74, 93.05, 93.25, 93.49, 93.72, 93.9, 94.13, 94.36, 94.7, 95.08, 95.36, 95.52] 2021-02-04 23:37:58.251: INFO @evaluate_confidence: Dropped ratios are: [27.8, 29.46, 30.99, 32.4, 34.06, 35.49, 36.97, 38.31, 39.69, 41.17, 42.63, 44.07, 45.39, 46.73, 48.0, 49.42, 50.8, 51.9, 53.14] 2021-02-04 23:37:58.257: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:37:58.257: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.21 2021-02-04 23:37:58.257: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.10 2021-02-04 23:37:58.257: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.16 2021-02-04 23:37:58.352: INFO @evaluate_confidence: Previous accuracy would be: 36.92 2021-02-04 23:37:58.352: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:37:58.355: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [47.62, 49.18, 50.44, 52.18, 53.9, 55.29, 56.49, 58.37, 59.85, 61.6, 63.41, 64.98, 66.33] 2021-02-04 23:37:58.355: INFO @evaluate_confidence: Dropped ratios are: [50.56, 54.42, 57.92, 61.44, 64.59, 67.35, 69.53, 72.08, 74.11, 75.99, 77.67, 79.05, 80.38] 2021-02-04 23:37:58.357: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:37:58.357: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.19 2021-02-04 23:37:58.357: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.15 2021-02-04 23:37:58.357: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.20 2021-02-04 23:37:58.430: INFO @evaluate_confidence: Previous accuracy would be: 86.73 2021-02-04 23:37:58.430: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:37:58.431: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.47, 92.8, 93.1, 93.46, 93.94, 94.12, 94.36, 94.5, 94.78, 95.04, 95.34, 95.46, 95.7, 95.91, 96.19, 96.32, 96.48, 96.76, 96.89, 96.98, 97.07, 97.19] 2021-02-04 23:37:58.431: INFO @evaluate_confidence: Dropped ratios are: [23.08, 24.74, 26.22, 27.55, 29.23, 30.51, 31.99, 33.37, 34.67, 35.78, 36.95, 38.08, 39.29, 40.47, 42.0, 43.48, 44.36, 45.74, 46.81, 47.72, 48.67, 50.05] 2021-02-04 23:37:58.433: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:37:58.433: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.17 2021-02-04 23:37:58.433: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.09 2021-02-04 23:37:58.433: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.13 2021-02-04 23:37:58.524: INFO @evaluate_confidence: Previous accuracy would be: 37.21 2021-02-04 23:37:58.524: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:37:58.525: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.13, 49.45, 51.53, 53.51, 55.65, 57.11, 58.29] 2021-02-04 23:37:58.525: INFO @evaluate_confidence: Dropped ratios are: [54.44, 59.16, 63.82, 68.21, 72.0, 74.79, 77.45] 2021-02-04 23:37:58.535: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:37:58.900: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:37:58.961: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:37:59.249: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:37:59.408: INFO @decay_lr : LR updated to `0.00016772521` 2021-02-04 23:37:59.409: INFO @log_profile : T train: 12.872566 2021-02-04 23:37:59.409: INFO @log_profile : T valid: 1.615567 2021-02-04 23:37:59.410: INFO @log_profile : T read data: 0.510058 2021-02-04 23:37:59.410: INFO @log_profile : T hooks: 4.526802 2021-02-04 23:37:59.410: INFO @main_loop : Epoch 116 done 2021-02-04 23:37:59.410: INFO @main_loop : Training epoch 117 2021-02-04 23:38:14.565: INFO @log_variables: train loss nanmean: 1.431170 2021-02-04 23:38:14.566: INFO @log_variables: train age_loss mean: 10.788682 2021-02-04 23:38:14.566: INFO @log_variables: train gender_loss mean: 0.355272 2021-02-04 23:38:14.566: INFO @log_variables: train age_mae mean: 10.173763 2021-02-04 23:38:14.566: INFO @log_variables: train gender_accuracy mean: 0.842376 2021-02-04 23:38:14.566: INFO @log_variables: train gender_confidence/loss nanmean: 0.073963 2021-02-04 23:38:14.566: INFO @log_variables: train gender_confidence/accuracy mean: 0.753183 2021-02-04 23:38:14.566: INFO @log_variables: train age_confidence/loss mean: 0.053443 2021-02-04 23:38:14.566: INFO @log_variables: train age_confidence/accuracy mean: 0.700593 2021-02-04 23:38:14.566: INFO @log_variables: valid loss nanmean: 1.325190 2021-02-04 23:38:14.566: INFO @log_variables: valid age_loss mean: 10.053394 2021-02-04 23:38:14.566: INFO @log_variables: valid gender_loss mean: 0.308720 2021-02-04 23:38:14.566: INFO @log_variables: valid age_mae mean: 9.437758 2021-02-04 23:38:14.566: INFO @log_variables: valid gender_accuracy mean: 0.866282 2021-02-04 23:38:14.566: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071192 2021-02-04 23:38:14.566: INFO @log_variables: valid gender_confidence/accuracy mean: 0.798545 2021-02-04 23:38:14.566: INFO @log_variables: valid age_confidence/loss mean: 0.059398 2021-02-04 23:38:14.566: INFO @log_variables: valid age_confidence/accuracy mean: 0.654792 2021-02-04 23:38:14.566: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:38:14.568: INFO @metrics_hook: train age_mae: 10.174 +-0.162 (13824) 2021-02-04 23:38:14.570: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-02-04 23:38:16.073: INFO @metrics_hook: valid age_mae: 9.438 +-0.280 (3986) 2021-02-04 23:38:16.074: INFO @metrics_hook: valid gender_accuracy: 0.866 +-0.011 (3986) 2021-02-04 23:38:17.462: INFO @decay_lr : LR updated to `0.00016688659` 2021-02-04 23:38:17.463: INFO @log_profile : T train: 12.564328 2021-02-04 23:38:17.463: INFO @log_profile : T valid: 1.555663 2021-02-04 23:38:17.463: INFO @log_profile : T read data: 0.400848 2021-02-04 23:38:17.463: INFO @log_profile : T hooks: 3.486723 2021-02-04 23:38:17.463: INFO @main_loop : Epoch 117 done 2021-02-04 23:38:17.463: INFO @main_loop : Training epoch 118 2021-02-04 23:38:32.964: INFO @log_variables: train loss nanmean: 1.439186 2021-02-04 23:38:32.964: INFO @log_variables: train age_loss mean: 10.840745 2021-02-04 23:38:32.964: INFO @log_variables: train gender_loss mean: 0.359209 2021-02-04 23:38:32.965: INFO @log_variables: train age_mae mean: 10.223663 2021-02-04 23:38:32.965: INFO @log_variables: train gender_accuracy mean: 0.840133 2021-02-04 23:38:32.965: INFO @log_variables: train gender_confidence/loss nanmean: 0.073306 2021-02-04 23:38:32.965: INFO @log_variables: train gender_confidence/accuracy mean: 0.744792 2021-02-04 23:38:32.965: INFO @log_variables: train age_confidence/loss mean: 0.053803 2021-02-04 23:38:32.965: INFO @log_variables: train age_confidence/accuracy mean: 0.691262 2021-02-04 23:38:32.965: INFO @log_variables: valid loss nanmean: 1.307017 2021-02-04 23:38:32.965: INFO @log_variables: valid age_loss mean: 9.812126 2021-02-04 23:38:32.965: INFO @log_variables: valid gender_loss mean: 0.309229 2021-02-04 23:38:32.965: INFO @log_variables: valid age_mae mean: 9.203957 2021-02-04 23:38:32.965: INFO @log_variables: valid gender_accuracy mean: 0.868289 2021-02-04 23:38:32.965: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074565 2021-02-04 23:38:32.965: INFO @log_variables: valid gender_confidence/accuracy mean: 0.811841 2021-02-04 23:38:32.965: INFO @log_variables: valid age_confidence/loss mean: 0.059323 2021-02-04 23:38:32.965: INFO @log_variables: valid age_confidence/accuracy mean: 0.649022 2021-02-04 23:38:32.965: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:38:32.967: INFO @metrics_hook: train age_mae: 10.224 +-0.163 (13824) 2021-02-04 23:38:32.969: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-02-04 23:38:34.414: INFO @metrics_hook: valid age_mae: 9.204 +-0.275 (3986) 2021-02-04 23:38:34.414: INFO @metrics_hook: valid gender_accuracy: 0.868 +-0.011 (3986) 2021-02-04 23:38:35.675: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:38:35.675: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:38:35.675: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.15 2021-02-04 23:38:35.675: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:38:35.754: INFO @evaluate_confidence: Previous accuracy would be: 84.01 2021-02-04 23:38:35.755: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:38:35.759: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.41, 90.92, 91.18, 91.41, 91.74, 91.98, 92.35, 92.63, 92.83, 93.12, 93.48, 93.81, 94.05, 94.31, 94.53, 94.76, 94.86, 95.24, 95.43] 2021-02-04 23:38:35.759: INFO @evaluate_confidence: Dropped ratios are: [28.39, 29.93, 31.59, 33.03, 34.57, 36.06, 37.52, 38.91, 40.17, 41.58, 42.94, 44.37, 45.64, 46.97, 48.14, 49.51, 50.75, 52.11, 53.34] 2021-02-04 23:38:35.765: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:38:35.765: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.22 2021-02-04 23:38:35.765: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:38:35.765: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.17 2021-02-04 23:38:35.854: INFO @evaluate_confidence: Previous accuracy would be: 37.41 2021-02-04 23:38:35.855: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:38:35.858: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.34, 49.76, 51.36, 52.65, 54.01, 55.58, 56.74, 58.41, 59.83, 61.5, 62.61, 64.31, 65.69] 2021-02-04 23:38:35.858: INFO @evaluate_confidence: Dropped ratios are: [50.39, 54.31, 57.94, 61.26, 64.37, 67.24, 69.58, 71.79, 73.87, 75.65, 77.03, 78.57, 79.85] 2021-02-04 23:38:35.860: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:38:35.860: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:38:35.860: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.16 2021-02-04 23:38:35.860: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.20 2021-02-04 23:38:35.932: INFO @evaluate_confidence: Previous accuracy would be: 86.83 2021-02-04 23:38:35.933: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:38:35.934: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.73, 93.0, 93.21, 93.43, 93.7, 94.03, 94.42, 94.72, 94.94, 95.13, 95.31, 95.6, 95.75, 95.97, 96.11, 96.2, 96.51, 96.63, 96.94, 96.94, 97.0] 2021-02-04 23:38:35.934: INFO @evaluate_confidence: Dropped ratios are: [24.06, 25.09, 26.52, 27.5, 28.68, 29.83, 31.16, 32.54, 34.12, 35.15, 36.33, 37.33, 38.59, 39.64, 40.67, 41.9, 43.2, 44.23, 45.94, 46.69, 48.09] 2021-02-04 23:38:35.936: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:38:35.936: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.17 2021-02-04 23:38:35.936: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.10 2021-02-04 23:38:35.936: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.14 2021-02-04 23:38:36.024: INFO @evaluate_confidence: Previous accuracy would be: 39.16 2021-02-04 23:38:36.024: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:38:36.025: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.95, 51.45, 52.77, 54.2, 54.89, 56.62, 58.03, 58.98] 2021-02-04 23:38:36.025: INFO @evaluate_confidence: Dropped ratios are: [53.99, 58.61, 62.82, 66.86, 69.74, 72.7, 75.49, 78.35] 2021-02-04 23:38:36.035: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:38:36.364: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:38:36.422: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:38:36.667: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:38:36.814: INFO @decay_lr : LR updated to `0.00016605215` 2021-02-04 23:38:36.815: INFO @log_profile : T train: 12.856003 2021-02-04 23:38:36.815: INFO @log_profile : T valid: 1.619448 2021-02-04 23:38:36.815: INFO @log_profile : T read data: 0.396492 2021-02-04 23:38:36.815: INFO @log_profile : T hooks: 4.431200 2021-02-04 23:38:36.815: INFO @main_loop : Epoch 118 done 2021-02-04 23:38:36.815: INFO @main_loop : Training epoch 119 2021-02-04 23:38:52.444: INFO @log_variables: train loss nanmean: 1.417848 2021-02-04 23:38:52.444: INFO @log_variables: train age_loss mean: 10.670067 2021-02-04 23:38:52.444: INFO @log_variables: train gender_loss mean: 0.351886 2021-02-04 23:38:52.444: INFO @log_variables: train age_mae mean: 10.055661 2021-02-04 23:38:52.444: INFO @log_variables: train gender_accuracy mean: 0.840588 2021-02-04 23:38:52.444: INFO @log_variables: train gender_confidence/loss nanmean: 0.072726 2021-02-04 23:38:52.444: INFO @log_variables: train gender_confidence/accuracy mean: 0.752879 2021-02-04 23:38:52.444: INFO @log_variables: train age_confidence/loss mean: 0.055219 2021-02-04 23:38:52.444: INFO @log_variables: train age_confidence/accuracy mean: 0.681466 2021-02-04 23:38:52.444: INFO @log_variables: valid loss nanmean: 1.310398 2021-02-04 23:38:52.445: INFO @log_variables: valid age_loss mean: 9.925289 2021-02-04 23:38:52.445: INFO @log_variables: valid gender_loss mean: 0.306441 2021-02-04 23:38:52.445: INFO @log_variables: valid age_mae mean: 9.311568 2021-02-04 23:38:52.445: INFO @log_variables: valid gender_accuracy mean: 0.871300 2021-02-04 23:38:52.445: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070897 2021-02-04 23:38:52.445: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809584 2021-02-04 23:38:52.445: INFO @log_variables: valid age_confidence/loss mean: 0.058619 2021-02-04 23:38:52.445: INFO @log_variables: valid age_confidence/accuracy mean: 0.649774 2021-02-04 23:38:52.445: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:38:52.447: INFO @metrics_hook: train age_mae: 10.056 +-0.163 (13807) 2021-02-04 23:38:52.448: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13807) 2021-02-04 23:38:53.904: INFO @metrics_hook: valid age_mae: 9.312 +-0.284 (3986) 2021-02-04 23:38:53.904: INFO @metrics_hook: valid gender_accuracy: 0.871 +-0.011 (3986) 2021-02-04 23:38:55.265: INFO @decay_lr : LR updated to `0.00016522189` 2021-02-04 23:38:55.476: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:38:55.477: INFO @log_profile : T train: 12.814733 2021-02-04 23:38:55.477: INFO @log_profile : T valid: 1.650871 2021-02-04 23:38:55.477: INFO @log_profile : T read data: 0.517320 2021-02-04 23:38:55.477: INFO @log_profile : T hooks: 3.630491 2021-02-04 23:38:55.477: INFO @main_loop : Epoch 119 done 2021-02-04 23:38:55.477: INFO @main_loop : Training epoch 120 2021-02-04 23:39:11.589: INFO @log_variables: train loss nanmean: 1.433584 2021-02-04 23:39:11.589: INFO @log_variables: train age_loss mean: 10.818904 2021-02-04 23:39:11.589: INFO @log_variables: train gender_loss mean: 0.354498 2021-02-04 23:39:11.589: INFO @log_variables: train age_mae mean: 10.200948 2021-02-04 23:39:11.589: INFO @log_variables: train gender_accuracy mean: 0.842448 2021-02-04 23:39:11.589: INFO @log_variables: train gender_confidence/loss nanmean: 0.073569 2021-02-04 23:39:11.589: INFO @log_variables: train gender_confidence/accuracy mean: 0.742911 2021-02-04 23:39:11.589: INFO @log_variables: train age_confidence/loss mean: 0.054208 2021-02-04 23:39:11.589: INFO @log_variables: train age_confidence/accuracy mean: 0.693070 2021-02-04 23:39:11.589: INFO @log_variables: valid loss nanmean: 1.329024 2021-02-04 23:39:11.589: INFO @log_variables: valid age_loss mean: 10.067792 2021-02-04 23:39:11.589: INFO @log_variables: valid gender_loss mean: 0.310287 2021-02-04 23:39:11.589: INFO @log_variables: valid age_mae mean: 9.449011 2021-02-04 23:39:11.589: INFO @log_variables: valid gender_accuracy mean: 0.866282 2021-02-04 23:39:11.590: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071028 2021-02-04 23:39:11.590: INFO @log_variables: valid gender_confidence/accuracy mean: 0.794531 2021-02-04 23:39:11.590: INFO @log_variables: valid age_confidence/loss mean: 0.060664 2021-02-04 23:39:11.590: INFO @log_variables: valid age_confidence/accuracy mean: 0.643251 2021-02-04 23:39:11.590: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:39:11.591: INFO @metrics_hook: train age_mae: 10.201 +-0.163 (13824) 2021-02-04 23:39:11.591: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-02-04 23:39:13.005: INFO @metrics_hook: valid age_mae: 9.449 +-0.285 (3986) 2021-02-04 23:39:13.005: INFO @metrics_hook: valid gender_accuracy: 0.866 +-0.011 (3986) 2021-02-04 23:39:14.251: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:39:14.251: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:39:14.252: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:39:14.252: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.22 2021-02-04 23:39:14.333: INFO @evaluate_confidence: Previous accuracy would be: 84.24 2021-02-04 23:39:14.334: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:39:14.338: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.36, 90.81, 91.0, 91.33, 91.64, 91.99, 92.34, 92.65, 92.75, 92.95, 93.23, 93.47, 93.7, 93.9, 94.17, 94.35, 94.57, 94.9, 95.19, 95.48] 2021-02-04 23:39:14.338: INFO @evaluate_confidence: Dropped ratios are: [27.47, 29.08, 30.42, 31.92, 33.25, 34.79, 36.26, 37.53, 38.95, 40.27, 41.53, 42.76, 43.86, 45.18, 46.54, 47.9, 49.12, 50.38, 51.53, 52.84] 2021-02-04 23:39:14.344: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:39:14.344: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:39:14.344: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:39:14.344: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.17 2021-02-04 23:39:14.443: INFO @evaluate_confidence: Previous accuracy would be: 37.42 2021-02-04 23:39:14.443: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:39:14.446: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.78, 50.04, 51.62, 53.12, 54.72, 56.29, 57.87, 59.57, 60.87, 62.59, 63.96, 65.48, 67.27] 2021-02-04 23:39:14.446: INFO @evaluate_confidence: Dropped ratios are: [52.74, 56.45, 60.0, 62.81, 65.78, 68.54, 70.71, 72.87, 74.78, 76.41, 77.88, 79.23, 80.53] 2021-02-04 23:39:14.448: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:39:14.448: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.20 2021-02-04 23:39:14.448: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.52 +- 0.16 2021-02-04 23:39:14.448: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.21 2021-02-04 23:39:14.519: INFO @evaluate_confidence: Previous accuracy would be: 86.63 2021-02-04 23:39:14.519: INFO @evaluate_confidence: Possible optimal thresholds are: [0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-04 23:39:14.521: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.32, 92.64, 93.03, 93.31, 93.71, 93.83, 94.09, 94.3, 94.6, 94.82, 95.03, 95.23, 95.45, 95.61, 95.77, 96.08, 96.3, 96.41, 96.61, 96.73, 96.94, 97.1, 97.23, 97.21] 2021-02-04 23:39:14.521: INFO @evaluate_confidence: Dropped ratios are: [23.58, 24.64, 25.51, 26.54, 27.82, 29.23, 30.38, 31.33, 32.61, 33.59, 34.92, 36.33, 37.66, 38.84, 40.09, 41.17, 42.4, 43.38, 44.56, 45.58, 46.74, 48.12, 49.22, 50.5] 2021-02-04 23:39:14.523: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:39:14.523: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.45 +- 0.19 2021-02-04 23:39:14.523: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.12 2021-02-04 23:39:14.523: INFO @evaluate_confidence: Average confidence of all samples 0.41 +- 0.15 2021-02-04 23:39:14.612: INFO @evaluate_confidence: Previous accuracy would be: 38.91 2021-02-04 23:39:14.613: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44] 2021-02-04 23:39:14.613: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.62, 49.28, 50.86, 52.23, 53.93, 54.26, 55.47] 2021-02-04 23:39:14.613: INFO @evaluate_confidence: Dropped ratios are: [57.12, 61.47, 64.98, 68.49, 71.9, 74.39, 76.62] 2021-02-04 23:39:14.623: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:39:14.989: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:15.047: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:39:15.289: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:15.343: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:39:15.689: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:15.745: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:39:15.746: INFO @evaluate_gender-age_model: groups 0 8.131356 1 11.234541 2 10.607014 3 8.735741 4 9.389663 5 10.780411 6 11.588966 7 11.006300 Name: errors, dtype: float64 2021-02-04 23:39:15.747: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:39:15.991: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:16.045: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:39:16.045: INFO @evaluate_gender-age_model: groups 0 6.182222 1 8.188364 2 7.890498 3 7.851399 4 10.036838 5 11.682135 6 12.552690 7 10.675710 Name: errors, dtype: float64 2021-02-04 23:39:16.137: INFO @decay_lr : LR updated to `0.00016439578` 2021-02-04 23:39:16.138: INFO @log_profile : T train: 12.925009 2021-02-04 23:39:16.138: INFO @log_profile : T valid: 1.616225 2021-02-04 23:39:16.138: INFO @log_profile : T read data: 0.394854 2021-02-04 23:39:16.138: INFO @log_profile : T hooks: 5.677153 2021-02-04 23:39:16.138: INFO @main_loop : Epoch 120 done 2021-02-04 23:39:16.138: INFO @main_loop : Training epoch 121 2021-02-04 23:39:31.646: INFO @log_variables: train loss nanmean: 1.422994 2021-02-04 23:39:31.646: INFO @log_variables: train age_loss mean: 10.710119 2021-02-04 23:39:31.646: INFO @log_variables: train gender_loss mean: 0.354170 2021-02-04 23:39:31.646: INFO @log_variables: train age_mae mean: 10.096017 2021-02-04 23:39:31.646: INFO @log_variables: train gender_accuracy mean: 0.841652 2021-02-04 23:39:31.646: INFO @log_variables: train gender_confidence/loss nanmean: 0.072966 2021-02-04 23:39:31.646: INFO @log_variables: train gender_confidence/accuracy mean: 0.754340 2021-02-04 23:39:31.646: INFO @log_variables: train age_confidence/loss mean: 0.054408 2021-02-04 23:39:31.646: INFO @log_variables: train age_confidence/accuracy mean: 0.688296 2021-02-04 23:39:31.647: INFO @log_variables: valid loss nanmean: 1.309694 2021-02-04 23:39:31.647: INFO @log_variables: valid age_loss mean: 9.779567 2021-02-04 23:39:31.647: INFO @log_variables: valid gender_loss mean: 0.317642 2021-02-04 23:39:31.647: INFO @log_variables: valid age_mae mean: 9.163589 2021-02-04 23:39:31.647: INFO @log_variables: valid gender_accuracy mean: 0.866533 2021-02-04 23:39:31.647: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072164 2021-02-04 23:39:31.647: INFO @log_variables: valid gender_confidence/accuracy mean: 0.824636 2021-02-04 23:39:31.647: INFO @log_variables: valid age_confidence/loss mean: 0.059713 2021-02-04 23:39:31.647: INFO @log_variables: valid age_confidence/accuracy mean: 0.651279 2021-02-04 23:39:31.647: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:39:31.649: INFO @metrics_hook: train age_mae: 10.096 +-0.162 (13824) 2021-02-04 23:39:31.650: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-02-04 23:39:33.071: INFO @metrics_hook: valid age_mae: 9.164 +-0.272 (3986) 2021-02-04 23:39:33.071: INFO @metrics_hook: valid gender_accuracy: 0.867 +-0.011 (3986) 2021-02-04 23:39:34.405: INFO @decay_lr : LR updated to `0.0001635738` 2021-02-04 23:39:34.406: INFO @log_profile : T train: 12.851951 2021-02-04 23:39:34.406: INFO @log_profile : T valid: 1.614558 2021-02-04 23:39:34.406: INFO @log_profile : T read data: 0.391896 2021-02-04 23:39:34.406: INFO @log_profile : T hooks: 3.361417 2021-02-04 23:39:34.407: INFO @main_loop : Epoch 121 done 2021-02-04 23:39:34.407: INFO @main_loop : Training epoch 122 2021-02-04 23:39:49.993: INFO @log_variables: train loss nanmean: 1.419046 2021-02-04 23:39:49.993: INFO @log_variables: train age_loss mean: 10.647459 2021-02-04 23:39:49.993: INFO @log_variables: train gender_loss mean: 0.356431 2021-02-04 23:39:49.993: INFO @log_variables: train age_mae mean: 10.036019 2021-02-04 23:39:49.993: INFO @log_variables: train gender_accuracy mean: 0.842833 2021-02-04 23:39:49.993: INFO @log_variables: train gender_confidence/loss nanmean: 0.073136 2021-02-04 23:39:49.993: INFO @log_variables: train gender_confidence/accuracy mean: 0.746505 2021-02-04 23:39:49.993: INFO @log_variables: train age_confidence/loss mean: 0.053930 2021-02-04 23:39:49.993: INFO @log_variables: train age_confidence/accuracy mean: 0.691388 2021-02-04 23:39:49.993: INFO @log_variables: valid loss nanmean: 1.297191 2021-02-04 23:39:49.993: INFO @log_variables: valid age_loss mean: 9.728786 2021-02-04 23:39:49.993: INFO @log_variables: valid gender_loss mean: 0.310015 2021-02-04 23:39:49.993: INFO @log_variables: valid age_mae mean: 9.119985 2021-02-04 23:39:49.993: INFO @log_variables: valid gender_accuracy mean: 0.869292 2021-02-04 23:39:49.993: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070232 2021-02-04 23:39:49.993: INFO @log_variables: valid gender_confidence/accuracy mean: 0.820120 2021-02-04 23:39:49.994: INFO @log_variables: valid age_confidence/loss mean: 0.060692 2021-02-04 23:39:49.994: INFO @log_variables: valid age_confidence/accuracy mean: 0.636729 2021-02-04 23:39:49.994: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:39:49.995: INFO @metrics_hook: train age_mae: 10.036 +-0.161 (13807) 2021-02-04 23:39:49.997: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13807) 2021-02-04 23:39:51.386: INFO @metrics_hook: valid age_mae: 9.120 +-0.277 (3986) 2021-02-04 23:39:51.386: INFO @metrics_hook: valid gender_accuracy: 0.869 +-0.011 (3986) 2021-02-04 23:39:52.617: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:39:52.617: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:39:52.617: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:39:52.617: INFO @evaluate_confidence: Average confidence of all samples 0.67 +- 0.21 2021-02-04 23:39:52.696: INFO @evaluate_confidence: Previous accuracy would be: 84.28 2021-02-04 23:39:52.696: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:39:52.700: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.67, 90.89, 91.27, 91.7, 92.0, 92.19, 92.42, 92.69, 92.98, 93.32, 93.53, 93.73, 94.02, 94.21, 94.53, 94.64, 94.87, 95.01, 95.21] 2021-02-04 23:39:52.700: INFO @evaluate_confidence: Dropped ratios are: [28.43, 29.8, 31.3, 32.66, 34.02, 35.4, 36.67, 38.13, 39.45, 41.04, 42.24, 43.6, 44.85, 46.05, 47.16, 48.24, 49.61, 50.95, 52.23] 2021-02-04 23:39:52.706: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:39:52.706: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.22 2021-02-04 23:39:52.706: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.37 +- 0.11 2021-02-04 23:39:52.706: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.17 2021-02-04 23:39:52.793: INFO @evaluate_confidence: Previous accuracy would be: 37.54 2021-02-04 23:39:52.793: INFO @evaluate_confidence: Possible optimal thresholds are: [0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:39:52.796: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.97, 50.52, 51.86, 53.11, 54.51, 55.86, 57.57, 59.1, 60.42, 61.78, 63.3, 64.75, 66.15] 2021-02-04 23:39:52.796: INFO @evaluate_confidence: Dropped ratios are: [50.21, 53.98, 57.56, 61.0, 63.89, 66.44, 68.9, 71.31, 73.23, 74.95, 76.71, 78.34, 79.5] 2021-02-04 23:39:52.798: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:39:52.798: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:39:52.798: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:39:52.798: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:39:52.861: INFO @evaluate_confidence: Previous accuracy would be: 86.93 2021-02-04 23:39:52.862: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:39:52.863: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.69, 92.97, 93.08, 93.32, 93.66, 93.77, 93.85, 94.1, 94.23, 94.44, 94.53, 94.93, 95.13, 95.37, 95.85, 96.03, 96.3, 96.5, 96.69, 96.7, 96.86, 96.98, 97.14] 2021-02-04 23:39:52.863: INFO @evaluate_confidence: Dropped ratios are: [22.75, 24.01, 25.31, 26.39, 27.6, 28.78, 29.83, 31.06, 32.19, 33.22, 34.42, 35.65, 36.65, 37.71, 38.89, 40.02, 41.07, 42.02, 43.1, 44.51, 45.68, 46.86, 48.22] 2021-02-04 23:39:52.865: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:39:52.865: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:39:52.865: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:39:52.865: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:39:52.950: INFO @evaluate_confidence: Previous accuracy would be: 40.59 2021-02-04 23:39:52.950: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:39:52.951: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.66, 51.12, 51.9, 53.7, 54.13, 55.29, 56.47, 57.13, 58.56] 2021-02-04 23:39:52.951: INFO @evaluate_confidence: Dropped ratios are: [52.71, 56.47, 60.36, 64.07, 67.19, 69.64, 72.1, 74.66, 76.69] 2021-02-04 23:39:52.960: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:39:53.292: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:53.351: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:39:53.590: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:39:53.733: INFO @decay_lr : LR updated to `0.00016275592` 2021-02-04 23:39:53.734: INFO @log_profile : T train: 12.913819 2021-02-04 23:39:53.734: INFO @log_profile : T valid: 1.520971 2021-02-04 23:39:53.734: INFO @log_profile : T read data: 0.511950 2021-02-04 23:39:53.734: INFO @log_profile : T hooks: 4.332229 2021-02-04 23:39:53.734: INFO @main_loop : Epoch 122 done 2021-02-04 23:39:53.734: INFO @main_loop : Training epoch 123 2021-02-04 23:40:09.174: INFO @log_variables: train loss nanmean: 1.428053 2021-02-04 23:40:09.175: INFO @log_variables: train age_loss mean: 10.794833 2021-02-04 23:40:09.175: INFO @log_variables: train gender_loss mean: 0.351494 2021-02-04 23:40:09.175: INFO @log_variables: train age_mae mean: 10.178594 2021-02-04 23:40:09.175: INFO @log_variables: train gender_accuracy mean: 0.843883 2021-02-04 23:40:09.175: INFO @log_variables: train gender_confidence/loss nanmean: 0.072502 2021-02-04 23:40:09.175: INFO @log_variables: train gender_confidence/accuracy mean: 0.749910 2021-02-04 23:40:09.175: INFO @log_variables: train age_confidence/loss mean: 0.054663 2021-02-04 23:40:09.175: INFO @log_variables: train age_confidence/accuracy mean: 0.682486 2021-02-04 23:40:09.175: INFO @log_variables: valid loss nanmean: 1.309643 2021-02-04 23:40:09.175: INFO @log_variables: valid age_loss mean: 9.901303 2021-02-04 23:40:09.175: INFO @log_variables: valid gender_loss mean: 0.309089 2021-02-04 23:40:09.175: INFO @log_variables: valid age_mae mean: 9.293059 2021-02-04 23:40:09.175: INFO @log_variables: valid gender_accuracy mean: 0.865278 2021-02-04 23:40:09.175: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069077 2021-02-04 23:40:09.175: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822378 2021-02-04 23:40:09.175: INFO @log_variables: valid age_confidence/loss mean: 0.059458 2021-02-04 23:40:09.175: INFO @log_variables: valid age_confidence/accuracy mean: 0.637983 2021-02-04 23:40:09.175: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:40:09.177: INFO @metrics_hook: train age_mae: 10.179 +-0.165 (13823) 2021-02-04 23:40:09.179: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13823) 2021-02-04 23:40:10.603: INFO @metrics_hook: valid age_mae: 9.293 +-0.277 (3986) 2021-02-04 23:40:10.604: INFO @metrics_hook: valid gender_accuracy: 0.865 +-0.011 (3986) 2021-02-04 23:40:12.004: INFO @decay_lr : LR updated to `0.00016194214` 2021-02-04 23:40:12.006: INFO @log_profile : T train: 12.803998 2021-02-04 23:40:12.006: INFO @log_profile : T valid: 1.599256 2021-02-04 23:40:12.006: INFO @log_profile : T read data: 0.394524 2021-02-04 23:40:12.006: INFO @log_profile : T hooks: 3.425486 2021-02-04 23:40:12.006: INFO @main_loop : Epoch 123 done 2021-02-04 23:40:12.006: INFO @main_loop : Training epoch 124 2021-02-04 23:40:27.659: INFO @log_variables: train loss nanmean: 1.421908 2021-02-04 23:40:27.659: INFO @log_variables: train age_loss mean: 10.709846 2021-02-04 23:40:27.659: INFO @log_variables: train gender_loss mean: 0.352548 2021-02-04 23:40:27.659: INFO @log_variables: train age_mae mean: 10.099810 2021-02-04 23:40:27.659: INFO @log_variables: train gender_accuracy mean: 0.844690 2021-02-04 23:40:27.659: INFO @log_variables: train gender_confidence/loss nanmean: 0.073328 2021-02-04 23:40:27.659: INFO @log_variables: train gender_confidence/accuracy mean: 0.753545 2021-02-04 23:40:27.659: INFO @log_variables: train age_confidence/loss mean: 0.054458 2021-02-04 23:40:27.659: INFO @log_variables: train age_confidence/accuracy mean: 0.687500 2021-02-04 23:40:27.660: INFO @log_variables: valid loss nanmean: 1.311232 2021-02-04 23:40:27.660: INFO @log_variables: valid age_loss mean: 9.864604 2021-02-04 23:40:27.660: INFO @log_variables: valid gender_loss mean: 0.312794 2021-02-04 23:40:27.660: INFO @log_variables: valid age_mae mean: 9.255706 2021-02-04 23:40:27.660: INFO @log_variables: valid gender_accuracy mean: 0.863271 2021-02-04 23:40:27.660: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069997 2021-02-04 23:40:27.660: INFO @log_variables: valid gender_confidence/accuracy mean: 0.815605 2021-02-04 23:40:27.660: INFO @log_variables: valid age_confidence/loss mean: 0.060095 2021-02-04 23:40:27.660: INFO @log_variables: valid age_confidence/accuracy mean: 0.641495 2021-02-04 23:40:27.660: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:40:27.662: INFO @metrics_hook: train age_mae: 10.100 +-0.165 (13824) 2021-02-04 23:40:27.663: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-02-04 23:40:29.054: INFO @metrics_hook: valid age_mae: 9.256 +-0.281 (3986) 2021-02-04 23:40:29.054: INFO @metrics_hook: valid gender_accuracy: 0.863 +-0.011 (3986) 2021-02-04 23:40:30.302: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:40:30.303: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:40:30.303: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:40:30.303: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.21 2021-02-04 23:40:30.393: INFO @evaluate_confidence: Previous accuracy would be: 84.47 2021-02-04 23:40:30.393: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:40:30.397: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.83, 90.98, 91.29, 91.66, 91.9, 92.16, 92.4, 92.77, 93.15, 93.42, 93.62, 93.79, 93.95, 94.4, 94.5, 94.75, 95.08, 95.26, 95.43, 95.55] 2021-02-04 23:40:30.398: INFO @evaluate_confidence: Dropped ratios are: [27.67, 29.04, 30.49, 31.98, 33.23, 34.58, 35.81, 37.33, 38.77, 39.99, 41.31, 42.72, 43.94, 45.25, 46.48, 47.89, 49.12, 50.41, 51.57, 52.97] 2021-02-04 23:40:30.403: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:40:30.403: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:40:30.404: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:40:30.404: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.17 2021-02-04 23:40:30.494: INFO @evaluate_confidence: Previous accuracy would be: 37.68 2021-02-04 23:40:30.494: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:40:30.497: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.62, 51.2, 52.81, 53.71, 54.93, 56.19, 57.56, 59.08, 60.69, 62.03, 63.77, 65.09, 66.44] 2021-02-04 23:40:30.497: INFO @evaluate_confidence: Dropped ratios are: [52.36, 56.15, 59.64, 62.76, 65.38, 67.85, 70.19, 72.32, 74.59, 76.22, 77.78, 79.17, 80.45] 2021-02-04 23:40:30.499: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:40:30.499: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:40:30.499: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.16 2021-02-04 23:40:30.499: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.21 2021-02-04 23:40:30.574: INFO @evaluate_confidence: Previous accuracy would be: 86.33 2021-02-04 23:40:30.574: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:40:30.576: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.35, 92.7, 92.96, 93.37, 93.48, 93.74, 93.96, 94.3, 94.62, 94.81, 95.23, 95.48, 95.74, 95.73, 95.86, 96.0, 96.1, 96.27, 96.37, 96.45, 96.69, 96.81, 96.95] 2021-02-04 23:40:30.576: INFO @evaluate_confidence: Dropped ratios are: [21.9, 23.03, 24.44, 25.84, 26.87, 28.22, 29.35, 30.88, 32.39, 33.77, 35.25, 36.23, 37.58, 38.86, 39.94, 41.04, 42.07, 43.48, 44.76, 45.51, 46.94, 48.02, 49.07] 2021-02-04 23:40:30.577: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:40:30.577: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.17 2021-02-04 23:40:30.577: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:40:30.577: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:40:30.668: INFO @evaluate_confidence: Previous accuracy would be: 39.09 2021-02-04 23:40:30.668: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:40:30.669: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [48.8, 50.09, 51.3, 52.31, 53.34, 54.28, 55.91, 57.39, 58.19] 2021-02-04 23:40:30.669: INFO @evaluate_confidence: Dropped ratios are: [52.81, 57.33, 61.47, 65.23, 68.49, 71.25, 74.11, 76.92, 79.18] 2021-02-04 23:40:30.680: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:40:31.035: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:40:31.094: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:40:31.342: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:40:31.484: INFO @decay_lr : LR updated to `0.00016113243` 2021-02-04 23:40:31.485: INFO @log_profile : T train: 12.991235 2021-02-04 23:40:31.485: INFO @log_profile : T valid: 1.607929 2021-02-04 23:40:31.485: INFO @log_profile : T read data: 0.400040 2021-02-04 23:40:31.485: INFO @log_profile : T hooks: 4.430204 2021-02-04 23:40:31.485: INFO @main_loop : Epoch 124 done 2021-02-04 23:40:31.486: INFO @main_loop : Training epoch 125 2021-02-04 23:40:46.591: INFO @log_variables: train loss nanmean: 1.395479 2021-02-04 23:40:46.592: INFO @log_variables: train age_loss mean: 10.485184 2021-02-04 23:40:46.592: INFO @log_variables: train gender_loss mean: 0.347016 2021-02-04 23:40:46.592: INFO @log_variables: train age_mae mean: 9.877025 2021-02-04 23:40:46.592: INFO @log_variables: train gender_accuracy mean: 0.843051 2021-02-04 23:40:46.592: INFO @log_variables: train gender_confidence/loss nanmean: 0.071579 2021-02-04 23:40:46.592: INFO @log_variables: train gender_confidence/accuracy mean: 0.756355 2021-02-04 23:40:46.592: INFO @log_variables: train age_confidence/loss mean: 0.055232 2021-02-04 23:40:46.592: INFO @log_variables: train age_confidence/accuracy mean: 0.683494 2021-02-04 23:40:46.592: INFO @log_variables: valid loss nanmean: 1.313785 2021-02-04 23:40:46.592: INFO @log_variables: valid age_loss mean: 9.922927 2021-02-04 23:40:46.592: INFO @log_variables: valid gender_loss mean: 0.307945 2021-02-04 23:40:46.592: INFO @log_variables: valid age_mae mean: 9.311315 2021-02-04 23:40:46.592: INFO @log_variables: valid gender_accuracy mean: 0.873557 2021-02-04 23:40:46.592: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071583 2021-02-04 23:40:46.592: INFO @log_variables: valid gender_confidence/accuracy mean: 0.808078 2021-02-04 23:40:46.593: INFO @log_variables: valid age_confidence/loss mean: 0.060168 2021-02-04 23:40:46.593: INFO @log_variables: valid age_confidence/accuracy mean: 0.637732 2021-02-04 23:40:46.593: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:40:46.594: INFO @metrics_hook: train age_mae: 9.877 +-0.163 (13807) 2021-02-04 23:40:46.596: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13807) 2021-02-04 23:40:48.007: INFO @metrics_hook: valid age_mae: 9.311 +-0.286 (3986) 2021-02-04 23:40:48.008: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-04 23:40:55.634: INFO @decay_lr : LR updated to `0.00016032676` 2021-02-04 23:40:55.820: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:40:55.822: INFO @log_profile : T train: 12.493420 2021-02-04 23:40:55.822: INFO @log_profile : T valid: 1.475537 2021-02-04 23:40:55.822: INFO @log_profile : T read data: 0.496402 2021-02-04 23:40:55.822: INFO @log_profile : T hooks: 9.826998 2021-02-04 23:40:55.822: INFO @main_loop : Epoch 125 done 2021-02-04 23:40:55.822: INFO @main_loop : Training epoch 126 2021-02-04 23:41:11.624: INFO @log_variables: train loss nanmean: 1.411505 2021-02-04 23:41:11.624: INFO @log_variables: train age_loss mean: 10.627479 2021-02-04 23:41:11.625: INFO @log_variables: train gender_loss mean: 0.349348 2021-02-04 23:41:11.625: INFO @log_variables: train age_mae mean: 10.015275 2021-02-04 23:41:11.625: INFO @log_variables: train gender_accuracy mean: 0.846209 2021-02-04 23:41:11.625: INFO @log_variables: train gender_confidence/loss nanmean: 0.073050 2021-02-04 23:41:11.625: INFO @log_variables: train gender_confidence/accuracy mean: 0.754919 2021-02-04 23:41:11.625: INFO @log_variables: train age_confidence/loss mean: 0.054732 2021-02-04 23:41:11.625: INFO @log_variables: train age_confidence/accuracy mean: 0.686343 2021-02-04 23:41:11.625: INFO @log_variables: valid loss nanmean: 1.310727 2021-02-04 23:41:11.625: INFO @log_variables: valid age_loss mean: 9.879333 2021-02-04 23:41:11.625: INFO @log_variables: valid gender_loss mean: 0.306321 2021-02-04 23:41:11.625: INFO @log_variables: valid age_mae mean: 9.270353 2021-02-04 23:41:11.625: INFO @log_variables: valid gender_accuracy mean: 0.872554 2021-02-04 23:41:11.625: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073106 2021-02-04 23:41:11.625: INFO @log_variables: valid gender_confidence/accuracy mean: 0.817863 2021-02-04 23:41:11.625: INFO @log_variables: valid age_confidence/loss mean: 0.061026 2021-02-04 23:41:11.625: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-04 23:41:11.625: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:41:11.627: INFO @metrics_hook: train age_mae: 10.015 +-0.164 (13824) 2021-02-04 23:41:11.629: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-02-04 23:41:13.025: INFO @metrics_hook: valid age_mae: 9.270 +-0.285 (3986) 2021-02-04 23:41:13.025: INFO @metrics_hook: valid gender_accuracy: 0.873 +-0.011 (3986) 2021-02-04 23:41:14.254: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:41:14.254: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:41:14.254: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:41:14.254: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:41:14.335: INFO @evaluate_confidence: Previous accuracy would be: 84.62 2021-02-04 23:41:14.335: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:41:14.339: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.92, 91.22, 91.5, 91.73, 91.98, 92.3, 92.51, 92.77, 93.08, 93.28, 93.57, 93.78, 93.95, 94.16, 94.34, 94.53, 94.76, 94.9, 95.09, 95.37] 2021-02-04 23:41:14.339: INFO @evaluate_confidence: Dropped ratios are: [27.4, 28.89, 30.2, 31.61, 32.9, 34.24, 35.51, 36.81, 38.14, 39.47, 40.81, 42.21, 43.59, 44.8, 46.18, 47.51, 48.65, 49.91, 51.22, 52.47] 2021-02-04 23:41:14.345: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:41:14.345: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:41:14.345: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:41:14.345: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:41:14.438: INFO @evaluate_confidence: Previous accuracy would be: 38.61 2021-02-04 23:41:14.438: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:41:14.441: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.99, 51.36, 52.94, 54.28, 55.68, 57.24, 58.44, 59.93, 61.69, 63.54, 64.76, 65.87, 67.13] 2021-02-04 23:41:14.441: INFO @evaluate_confidence: Dropped ratios are: [50.81, 54.56, 58.12, 61.11, 63.93, 66.42, 68.71, 70.72, 72.74, 74.54, 76.16, 77.62, 78.85] 2021-02-04 23:41:14.443: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:41:14.443: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:41:14.443: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.17 2021-02-04 23:41:14.443: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.21 2021-02-04 23:41:14.513: INFO @evaluate_confidence: Previous accuracy would be: 87.26 2021-02-04 23:41:14.514: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:41:14.515: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.09, 93.29, 93.53, 93.86, 93.96, 94.28, 94.54, 94.86, 95.08, 95.36, 95.43, 95.54, 95.67, 95.94, 95.96, 96.14, 96.25, 96.36, 96.54, 96.83, 96.99, 97.06, 97.13] 2021-02-04 23:41:14.515: INFO @evaluate_confidence: Dropped ratios are: [22.25, 23.31, 24.41, 25.69, 26.92, 28.02, 29.28, 30.68, 31.74, 32.89, 34.09, 35.32, 36.2, 37.61, 38.53, 39.54, 40.44, 41.42, 42.75, 43.73, 45.03, 46.31, 47.64] 2021-02-04 23:41:14.517: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:41:14.517: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.18 2021-02-04 23:41:14.517: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:41:14.517: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.15 2021-02-04 23:41:14.604: INFO @evaluate_confidence: Previous accuracy would be: 40.24 2021-02-04 23:41:14.604: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:41:14.605: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.0, 52.08, 52.98, 53.61, 54.66, 56.13, 57.48, 58.11] 2021-02-04 23:41:14.605: INFO @evaluate_confidence: Dropped ratios are: [54.99, 59.06, 62.49, 66.31, 69.34, 71.75, 74.16, 76.64] 2021-02-04 23:41:14.615: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:41:14.933: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:41:14.991: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:41:15.228: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:41:15.374: INFO @decay_lr : LR updated to `0.00015952512` 2021-02-04 23:41:15.375: INFO @log_profile : T train: 13.079400 2021-02-04 23:41:15.375: INFO @log_profile : T valid: 1.645338 2021-02-04 23:41:15.375: INFO @log_profile : T read data: 0.411151 2021-02-04 23:41:15.375: INFO @log_profile : T hooks: 4.365773 2021-02-04 23:41:15.375: INFO @main_loop : Epoch 126 done 2021-02-04 23:41:15.375: INFO @main_loop : Training epoch 127 2021-02-04 23:41:30.951: INFO @log_variables: train loss nanmean: 1.414532 2021-02-04 23:41:30.951: INFO @log_variables: train age_loss mean: 10.720016 2021-02-04 23:41:30.951: INFO @log_variables: train gender_loss mean: 0.345282 2021-02-04 23:41:30.951: INFO @log_variables: train age_mae mean: 10.106711 2021-02-04 23:41:30.951: INFO @log_variables: train gender_accuracy mean: 0.848483 2021-02-04 23:41:30.951: INFO @log_variables: train gender_confidence/loss nanmean: 0.072123 2021-02-04 23:41:30.951: INFO @log_variables: train gender_confidence/accuracy mean: 0.755341 2021-02-04 23:41:30.951: INFO @log_variables: train age_confidence/loss mean: 0.053969 2021-02-04 23:41:30.951: INFO @log_variables: train age_confidence/accuracy mean: 0.693127 2021-02-04 23:41:30.952: INFO @log_variables: valid loss nanmean: 1.310730 2021-02-04 23:41:30.952: INFO @log_variables: valid age_loss mean: 9.830820 2021-02-04 23:41:30.952: INFO @log_variables: valid gender_loss mean: 0.312710 2021-02-04 23:41:30.952: INFO @log_variables: valid age_mae mean: 9.227057 2021-02-04 23:41:30.952: INFO @log_variables: valid gender_accuracy mean: 0.870296 2021-02-04 23:41:30.952: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073588 2021-02-04 23:41:30.952: INFO @log_variables: valid gender_confidence/accuracy mean: 0.818615 2021-02-04 23:41:30.952: INFO @log_variables: valid age_confidence/loss mean: 0.059150 2021-02-04 23:41:30.952: INFO @log_variables: valid age_confidence/accuracy mean: 0.644004 2021-02-04 23:41:30.952: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:41:30.953: INFO @metrics_hook: train age_mae: 10.107 +-0.163 (13807) 2021-02-04 23:41:30.954: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13807) 2021-02-04 23:41:32.351: INFO @metrics_hook: valid age_mae: 9.227 +-0.276 (3986) 2021-02-04 23:41:32.352: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-04 23:41:33.681: INFO @decay_lr : LR updated to `0.0001587275` 2021-02-04 23:41:33.682: INFO @log_profile : T train: 12.922759 2021-02-04 23:41:33.682: INFO @log_profile : T valid: 1.557587 2021-02-04 23:41:33.683: INFO @log_profile : T read data: 0.492696 2021-02-04 23:41:33.683: INFO @log_profile : T hooks: 3.287152 2021-02-04 23:41:33.683: INFO @main_loop : Epoch 127 done 2021-02-04 23:41:33.683: INFO @main_loop : Training epoch 128 2021-02-04 23:41:49.259: INFO @log_variables: train loss nanmean: 1.407914 2021-02-04 23:41:49.259: INFO @log_variables: train age_loss mean: 10.692718 2021-02-04 23:41:49.259: INFO @log_variables: train gender_loss mean: 0.340028 2021-02-04 23:41:49.259: INFO @log_variables: train age_mae mean: 10.079712 2021-02-04 23:41:49.259: INFO @log_variables: train gender_accuracy mean: 0.848741 2021-02-04 23:41:49.259: INFO @log_variables: train gender_confidence/loss nanmean: 0.072009 2021-02-04 23:41:49.259: INFO @log_variables: train gender_confidence/accuracy mean: 0.754413 2021-02-04 23:41:49.259: INFO @log_variables: train age_confidence/loss mean: 0.054724 2021-02-04 23:41:49.259: INFO @log_variables: train age_confidence/accuracy mean: 0.686632 2021-02-04 23:41:49.259: INFO @log_variables: valid loss nanmean: 1.312333 2021-02-04 23:41:49.259: INFO @log_variables: valid age_loss mean: 9.837791 2021-02-04 23:41:49.259: INFO @log_variables: valid gender_loss mean: 0.314466 2021-02-04 23:41:49.259: INFO @log_variables: valid age_mae mean: 9.228373 2021-02-04 23:41:49.259: INFO @log_variables: valid gender_accuracy mean: 0.868791 2021-02-04 23:41:49.260: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073059 2021-02-04 23:41:49.260: INFO @log_variables: valid gender_confidence/accuracy mean: 0.829152 2021-02-04 23:41:49.260: INFO @log_variables: valid age_confidence/loss mean: 0.059051 2021-02-04 23:41:49.260: INFO @log_variables: valid age_confidence/accuracy mean: 0.652032 2021-02-04 23:41:49.260: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:41:49.262: INFO @metrics_hook: train age_mae: 10.080 +-0.163 (13824) 2021-02-04 23:41:49.263: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-02-04 23:41:50.691: INFO @metrics_hook: valid age_mae: 9.228 +-0.276 (3986) 2021-02-04 23:41:50.691: INFO @metrics_hook: valid gender_accuracy: 0.869 +-0.011 (3986) 2021-02-04 23:41:51.913: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:41:51.913: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:41:51.913: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:41:51.913: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:41:51.993: INFO @evaluate_confidence: Previous accuracy would be: 84.87 2021-02-04 23:41:51.993: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:41:51.998: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.04, 91.43, 91.69, 92.04, 92.27, 92.52, 92.81, 93.04, 93.49, 93.84, 94.04, 94.22, 94.34, 94.63, 94.82, 95.07, 95.29, 95.5, 95.72, 95.84, 96.03] 2021-02-04 23:41:51.998: INFO @evaluate_confidence: Dropped ratios are: [26.52, 28.01, 29.44, 30.87, 32.08, 33.54, 34.81, 36.05, 37.46, 38.77, 40.05, 41.2, 42.46, 43.52, 44.84, 46.01, 47.14, 48.23, 49.31, 50.48, 51.74] 2021-02-04 23:41:52.004: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:41:52.004: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:41:52.004: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:41:52.004: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:41:52.092: INFO @evaluate_confidence: Previous accuracy would be: 38.14 2021-02-04 23:41:52.093: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:41:52.096: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.65, 51.2, 52.62, 54.19, 55.51, 56.72, 58.32, 59.71, 61.31, 62.74, 63.85, 65.45, 66.86] 2021-02-04 23:41:52.096: INFO @evaluate_confidence: Dropped ratios are: [52.73, 56.27, 59.48, 62.4, 65.0, 67.53, 69.77, 71.76, 73.69, 75.46, 76.95, 78.41, 79.81] 2021-02-04 23:41:52.097: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:41:52.097: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-04 23:41:52.098: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-04 23:41:52.098: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:41:52.165: INFO @evaluate_confidence: Previous accuracy would be: 86.88 2021-02-04 23:41:52.165: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-04 23:41:52.167: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.75, 92.9, 93.18, 93.28, 93.52, 93.81, 94.04, 94.1, 94.25, 94.57, 94.83, 95.07, 95.13, 95.39, 95.57, 95.75, 96.06, 96.25, 96.43, 96.64, 96.8, 96.95, 97.12, 97.16] 2021-02-04 23:41:52.167: INFO @evaluate_confidence: Dropped ratios are: [21.75, 22.96, 24.26, 25.31, 26.47, 27.4, 28.4, 29.38, 30.58, 31.66, 32.59, 33.84, 35.05, 36.38, 37.73, 39.21, 40.22, 41.12, 42.35, 43.33, 44.41, 45.63, 46.79, 47.89] 2021-02-04 23:41:52.168: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:41:52.168: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.17 2021-02-04 23:41:52.168: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.10 2021-02-04 23:41:52.168: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:41:52.260: INFO @evaluate_confidence: Previous accuracy would be: 39.64 2021-02-04 23:41:52.260: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:41:52.261: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.16, 52.24, 53.72, 55.7, 57.01, 58.63, 59.62, 61.04] 2021-02-04 23:41:52.261: INFO @evaluate_confidence: Dropped ratios are: [53.46, 58.08, 62.27, 66.36, 69.42, 72.53, 75.09, 77.27] 2021-02-04 23:41:52.270: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:41:52.600: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:41:52.660: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:41:52.900: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:41:53.046: INFO @decay_lr : LR updated to `0.00015793387` 2021-02-04 23:41:53.047: INFO @log_profile : T train: 12.882511 2021-02-04 23:41:53.048: INFO @log_profile : T valid: 1.647266 2021-02-04 23:41:53.048: INFO @log_profile : T read data: 0.402098 2021-02-04 23:41:53.048: INFO @log_profile : T hooks: 4.384114 2021-02-04 23:41:53.048: INFO @main_loop : Epoch 128 done 2021-02-04 23:41:53.048: INFO @main_loop : Training epoch 129 2021-02-04 23:42:08.094: INFO @log_variables: train loss nanmean: 1.386548 2021-02-04 23:42:08.095: INFO @log_variables: train age_loss mean: 10.480433 2021-02-04 23:42:08.095: INFO @log_variables: train gender_loss mean: 0.337215 2021-02-04 23:42:08.095: INFO @log_variables: train age_mae mean: 9.871896 2021-02-04 23:42:08.095: INFO @log_variables: train gender_accuracy mean: 0.848958 2021-02-04 23:42:08.095: INFO @log_variables: train gender_confidence/loss nanmean: 0.072298 2021-02-04 23:42:08.095: INFO @log_variables: train gender_confidence/accuracy mean: 0.752387 2021-02-04 23:42:08.095: INFO @log_variables: train age_confidence/loss mean: 0.054925 2021-02-04 23:42:08.095: INFO @log_variables: train age_confidence/accuracy mean: 0.686560 2021-02-04 23:42:08.095: INFO @log_variables: valid loss nanmean: 1.313507 2021-02-04 23:42:08.095: INFO @log_variables: valid age_loss mean: 9.889400 2021-02-04 23:42:08.095: INFO @log_variables: valid gender_loss mean: 0.310719 2021-02-04 23:42:08.095: INFO @log_variables: valid age_mae mean: 9.277997 2021-02-04 23:42:08.095: INFO @log_variables: valid gender_accuracy mean: 0.875063 2021-02-04 23:42:08.095: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072511 2021-02-04 23:42:08.095: INFO @log_variables: valid gender_confidence/accuracy mean: 0.804817 2021-02-04 23:42:08.095: INFO @log_variables: valid age_confidence/loss mean: 0.059488 2021-02-04 23:42:08.095: INFO @log_variables: valid age_confidence/accuracy mean: 0.642750 2021-02-04 23:42:08.095: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:42:08.097: INFO @metrics_hook: train age_mae: 9.872 +-0.160 (13824) 2021-02-04 23:42:08.099: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-02-04 23:42:09.543: INFO @metrics_hook: valid age_mae: 9.278 +-0.279 (3986) 2021-02-04 23:42:09.543: INFO @metrics_hook: valid gender_accuracy: 0.875 +-0.010 (3986) 2021-02-04 23:42:10.886: INFO @decay_lr : LR updated to `0.0001571442` 2021-02-04 23:42:11.091: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:42:11.093: INFO @log_profile : T train: 12.471438 2021-02-04 23:42:11.093: INFO @log_profile : T valid: 1.525852 2021-02-04 23:42:11.093: INFO @log_profile : T read data: 0.403768 2021-02-04 23:42:11.093: INFO @log_profile : T hooks: 3.597031 2021-02-04 23:42:11.093: INFO @main_loop : Epoch 129 done 2021-02-04 23:42:11.093: INFO @main_loop : Training epoch 130 2021-02-04 23:42:27.278: INFO @log_variables: train loss nanmean: 1.416631 2021-02-04 23:42:27.279: INFO @log_variables: train age_loss mean: 10.734962 2021-02-04 23:42:27.279: INFO @log_variables: train gender_loss mean: 0.344988 2021-02-04 23:42:27.279: INFO @log_variables: train age_mae mean: 10.121593 2021-02-04 23:42:27.279: INFO @log_variables: train gender_accuracy mean: 0.847686 2021-02-04 23:42:27.279: INFO @log_variables: train gender_confidence/loss nanmean: 0.072357 2021-02-04 23:42:27.279: INFO @log_variables: train gender_confidence/accuracy mean: 0.752227 2021-02-04 23:42:27.279: INFO @log_variables: train age_confidence/loss mean: 0.054743 2021-02-04 23:42:27.279: INFO @log_variables: train age_confidence/accuracy mean: 0.681394 2021-02-04 23:42:27.279: INFO @log_variables: valid loss nanmean: 1.306250 2021-02-04 23:42:27.279: INFO @log_variables: valid age_loss mean: 9.705055 2021-02-04 23:42:27.279: INFO @log_variables: valid gender_loss mean: 0.318682 2021-02-04 23:42:27.279: INFO @log_variables: valid age_mae mean: 9.097576 2021-02-04 23:42:27.279: INFO @log_variables: valid gender_accuracy mean: 0.868540 2021-02-04 23:42:27.279: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073845 2021-02-04 23:42:27.279: INFO @log_variables: valid gender_confidence/accuracy mean: 0.809082 2021-02-04 23:42:27.279: INFO @log_variables: valid age_confidence/loss mean: 0.060417 2021-02-04 23:42:27.279: INFO @log_variables: valid age_confidence/accuracy mean: 0.644004 2021-02-04 23:42:27.279: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:42:27.281: INFO @metrics_hook: train age_mae: 10.122 +-0.162 (13807) 2021-02-04 23:42:27.283: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13807) 2021-02-04 23:42:28.754: INFO @metrics_hook: valid age_mae: 9.098 +-0.279 (3986) 2021-02-04 23:42:28.754: INFO @metrics_hook: valid gender_accuracy: 0.869 +-0.011 (3986) 2021-02-04 23:42:30.040: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:42:30.040: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:42:30.040: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:42:30.040: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:42:30.126: INFO @evaluate_confidence: Previous accuracy would be: 84.77 2021-02-04 23:42:30.126: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:42:30.131: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.2, 91.49, 91.75, 92.06, 92.28, 92.5, 92.8, 93.05, 93.44, 93.63, 93.86, 94.11, 94.26, 94.62, 94.8, 95.07, 95.3, 95.42, 95.58, 95.75, 95.96] 2021-02-04 23:42:30.131: INFO @evaluate_confidence: Dropped ratios are: [27.2, 28.59, 30.06, 31.33, 32.66, 33.98, 35.36, 36.63, 37.94, 39.14, 40.32, 41.62, 42.87, 44.13, 45.4, 46.7, 47.78, 48.91, 50.05, 51.07, 52.29] 2021-02-04 23:42:30.137: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:42:30.137: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:42:30.137: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:42:30.137: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.16 2021-02-04 23:42:30.229: INFO @evaluate_confidence: Previous accuracy would be: 37.75 2021-02-04 23:42:30.230: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:42:30.233: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.23, 50.63, 51.84, 53.19, 54.88, 56.18, 57.6, 58.95, 59.99, 60.76, 62.24, 63.36, 64.69] 2021-02-04 23:42:30.233: INFO @evaluate_confidence: Dropped ratios are: [51.85, 55.58, 58.88, 61.69, 64.84, 67.37, 69.54, 71.77, 73.66, 75.43, 76.96, 78.65, 79.96] 2021-02-04 23:42:30.235: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:42:30.235: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.20 2021-02-04 23:42:30.235: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:42:30.235: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:42:30.304: INFO @evaluate_confidence: Previous accuracy would be: 86.85 2021-02-04 23:42:30.304: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:42:30.306: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.38, 92.69, 93.03, 93.22, 93.65, 94.0, 94.31, 94.46, 94.73, 94.98, 95.29, 95.6, 95.71, 95.77, 95.99, 96.33, 96.49, 96.73, 96.86, 96.93, 97.05, 97.12] 2021-02-04 23:42:30.306: INFO @evaluate_confidence: Dropped ratios are: [23.58, 24.51, 25.89, 27.12, 28.15, 29.3, 30.38, 31.61, 32.87, 33.99, 35.05, 36.2, 37.43, 38.38, 39.34, 40.57, 41.45, 42.37, 43.25, 44.48, 45.58, 46.91] 2021-02-04 23:42:30.307: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:42:30.307: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.46 +- 0.18 2021-02-04 23:42:30.308: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.10 2021-02-04 23:42:30.308: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:42:30.400: INFO @evaluate_confidence: Previous accuracy would be: 40.77 2021-02-04 23:42:30.400: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46] 2021-02-04 23:42:30.401: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.71, 52.7, 53.99, 55.15, 57.02, 57.78, 59.34, 60.0, 60.53] 2021-02-04 23:42:30.401: INFO @evaluate_confidence: Dropped ratios are: [51.63, 56.35, 60.36, 64.7, 68.01, 71.12, 73.96, 76.54, 78.32] 2021-02-04 23:42:30.411: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:42:30.763: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:42:30.820: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:42:31.065: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:42:31.120: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:42:31.461: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:42:31.519: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:42:31.520: INFO @evaluate_gender-age_model: groups 0 7.862736 1 11.368924 2 10.134303 3 8.758309 4 9.478455 5 10.703906 6 11.472618 7 10.919995 Name: errors, dtype: float64 2021-02-04 23:42:31.520: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:42:31.763: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:42:31.815: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:42:31.816: INFO @evaluate_gender-age_model: groups 0 7.049381 1 8.858435 2 8.504293 3 8.242359 4 9.671024 5 10.230107 6 10.231808 7 9.254528 Name: errors, dtype: float64 2021-02-04 23:42:31.908: INFO @decay_lr : LR updated to `0.00015635848` 2021-02-04 23:42:31.909: INFO @log_profile : T train: 12.836437 2021-02-04 23:42:31.909: INFO @log_profile : T valid: 1.652046 2021-02-04 23:42:31.909: INFO @log_profile : T read data: 0.498325 2021-02-04 23:42:31.909: INFO @log_profile : T hooks: 5.780425 2021-02-04 23:42:31.909: INFO @main_loop : Epoch 130 done 2021-02-04 23:42:31.909: INFO @main_loop : Training epoch 131 2021-02-04 23:42:47.373: INFO @log_variables: train loss nanmean: 1.408114 2021-02-04 23:42:47.373: INFO @log_variables: train age_loss mean: 10.629268 2021-02-04 23:42:47.373: INFO @log_variables: train gender_loss mean: 0.345036 2021-02-04 23:42:47.373: INFO @log_variables: train age_mae mean: 10.016337 2021-02-04 23:42:47.373: INFO @log_variables: train gender_accuracy mean: 0.850188 2021-02-04 23:42:47.373: INFO @log_variables: train gender_confidence/loss nanmean: 0.073702 2021-02-04 23:42:47.373: INFO @log_variables: train gender_confidence/accuracy mean: 0.748553 2021-02-04 23:42:47.373: INFO @log_variables: train age_confidence/loss mean: 0.054447 2021-02-04 23:42:47.373: INFO @log_variables: train age_confidence/accuracy mean: 0.687934 2021-02-04 23:42:47.373: INFO @log_variables: valid loss nanmean: 1.296114 2021-02-04 23:42:47.373: INFO @log_variables: valid age_loss mean: 9.723169 2021-02-04 23:42:47.373: INFO @log_variables: valid gender_loss mean: 0.307765 2021-02-04 23:42:47.373: INFO @log_variables: valid age_mae mean: 9.118578 2021-02-04 23:42:47.373: INFO @log_variables: valid gender_accuracy mean: 0.869794 2021-02-04 23:42:47.374: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071223 2021-02-04 23:42:47.374: INFO @log_variables: valid gender_confidence/accuracy mean: 0.815856 2021-02-04 23:42:47.374: INFO @log_variables: valid age_confidence/loss mean: 0.061180 2021-02-04 23:42:47.374: INFO @log_variables: valid age_confidence/accuracy mean: 0.645509 2021-02-04 23:42:47.374: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:42:47.375: INFO @metrics_hook: train age_mae: 10.016 +-0.161 (13824) 2021-02-04 23:42:47.377: INFO @metrics_hook: train gender_accuracy: 0.850 +-0.006 (13824) 2021-02-04 23:42:48.819: INFO @metrics_hook: valid age_mae: 9.119 +-0.277 (3986) 2021-02-04 23:42:48.819: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-04 23:42:50.173: INFO @decay_lr : LR updated to `0.0001555767` 2021-02-04 23:42:50.174: INFO @log_profile : T train: 12.792403 2021-02-04 23:42:50.174: INFO @log_profile : T valid: 1.620523 2021-02-04 23:42:50.174: INFO @log_profile : T read data: 0.397631 2021-02-04 23:42:50.174: INFO @log_profile : T hooks: 3.405935 2021-02-04 23:42:50.174: INFO @main_loop : Epoch 131 done 2021-02-04 23:42:50.174: INFO @main_loop : Training epoch 132 2021-02-04 23:43:05.692: INFO @log_variables: train loss nanmean: 1.394527 2021-02-04 23:43:05.692: INFO @log_variables: train age_loss mean: 10.540766 2021-02-04 23:43:05.692: INFO @log_variables: train gender_loss mean: 0.339121 2021-02-04 23:43:05.692: INFO @log_variables: train age_mae mean: 9.935181 2021-02-04 23:43:05.693: INFO @log_variables: train gender_accuracy mean: 0.852214 2021-02-04 23:43:05.693: INFO @log_variables: train gender_confidence/loss nanmean: 0.073702 2021-02-04 23:43:05.693: INFO @log_variables: train gender_confidence/accuracy mean: 0.751808 2021-02-04 23:43:05.693: INFO @log_variables: train age_confidence/loss mean: 0.054281 2021-02-04 23:43:05.693: INFO @log_variables: train age_confidence/accuracy mean: 0.688368 2021-02-04 23:43:05.693: INFO @log_variables: valid loss nanmean: 1.325160 2021-02-04 23:43:05.693: INFO @log_variables: valid age_loss mean: 10.108298 2021-02-04 23:43:05.693: INFO @log_variables: valid gender_loss mean: 0.302035 2021-02-04 23:43:05.693: INFO @log_variables: valid age_mae mean: 9.496099 2021-02-04 23:43:05.693: INFO @log_variables: valid gender_accuracy mean: 0.869543 2021-02-04 23:43:05.693: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071025 2021-02-04 23:43:05.693: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827145 2021-02-04 23:43:05.693: INFO @log_variables: valid age_confidence/loss mean: 0.060622 2021-02-04 23:43:05.693: INFO @log_variables: valid age_confidence/accuracy mean: 0.640492 2021-02-04 23:43:05.693: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:43:05.695: INFO @metrics_hook: train age_mae: 9.935 +-0.162 (13824) 2021-02-04 23:43:05.697: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-02-04 23:43:07.115: INFO @metrics_hook: valid age_mae: 9.496 +-0.287 (3986) 2021-02-04 23:43:07.115: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-04 23:43:08.346: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:43:08.346: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.70 +- 0.21 2021-02-04 23:43:08.346: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.16 2021-02-04 23:43:08.346: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.21 2021-02-04 23:43:08.430: INFO @evaluate_confidence: Previous accuracy would be: 85.22 2021-02-04 23:43:08.430: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69] 2021-02-04 23:43:08.434: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.37, 91.69, 91.98, 92.16, 92.41, 92.68, 93.0, 93.2, 93.4, 93.57, 93.85, 94.2, 94.32, 94.61, 94.82, 94.95, 95.02, 95.11, 95.27] 2021-02-04 23:43:08.434: INFO @evaluate_confidence: Dropped ratios are: [27.91, 29.28, 30.74, 32.04, 33.41, 34.95, 36.35, 37.59, 38.93, 40.15, 41.33, 42.74, 43.93, 45.24, 46.52, 47.86, 48.99, 50.31, 51.57] 2021-02-04 23:43:08.440: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:43:08.440: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.22 2021-02-04 23:43:08.440: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:43:08.440: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:43:08.538: INFO @evaluate_confidence: Previous accuracy would be: 38.17 2021-02-04 23:43:08.538: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:43:08.541: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.91, 52.34, 53.57, 54.85, 56.15, 57.46, 58.77, 59.96, 60.95, 62.19, 63.78, 65.11, 66.74] 2021-02-04 23:43:08.541: INFO @evaluate_confidence: Dropped ratios are: [52.52, 56.08, 59.09, 61.87, 64.61, 66.93, 69.14, 71.2, 72.79, 74.52, 76.33, 77.69, 79.08] 2021-02-04 23:43:08.543: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:43:08.543: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.19 2021-02-04 23:43:08.543: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:43:08.543: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.20 2021-02-04 23:43:08.616: INFO @evaluate_confidence: Previous accuracy would be: 86.95 2021-02-04 23:43:08.616: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:43:08.618: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.79, 93.04, 93.15, 93.5, 93.69, 93.83, 94.05, 94.34, 94.61, 94.8, 95.05, 95.32, 95.56, 95.9, 96.12, 96.35, 96.45, 96.7, 96.94, 97.02, 97.24, 97.37, 97.49] 2021-02-04 23:43:08.618: INFO @evaluate_confidence: Dropped ratios are: [21.05, 22.13, 23.13, 24.36, 25.69, 26.79, 27.95, 29.13, 30.13, 31.46, 32.59, 33.47, 34.47, 35.67, 37.33, 38.76, 40.02, 41.5, 42.6, 43.55, 45.38, 46.59, 47.99] 2021-02-04 23:43:08.619: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:43:08.619: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:43:08.620: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:43:08.620: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:43:08.714: INFO @evaluate_confidence: Previous accuracy would be: 39.79 2021-02-04 23:43:08.714: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:43:08.715: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.26, 49.8, 51.47, 52.5, 53.74, 54.47, 55.94, 57.77, 57.62] 2021-02-04 23:43:08.715: INFO @evaluate_confidence: Dropped ratios are: [52.43, 56.77, 60.71, 64.35, 67.84, 70.25, 72.55, 75.46, 77.27] 2021-02-04 23:43:08.725: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:43:09.066: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:43:09.120: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:43:09.366: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:43:09.513: INFO @decay_lr : LR updated to `0.0001547988` 2021-02-04 23:43:09.514: INFO @log_profile : T train: 12.859584 2021-02-04 23:43:09.514: INFO @log_profile : T valid: 1.618308 2021-02-04 23:43:09.514: INFO @log_profile : T read data: 0.398895 2021-02-04 23:43:09.514: INFO @log_profile : T hooks: 4.414991 2021-02-04 23:43:09.514: INFO @main_loop : Epoch 132 done 2021-02-04 23:43:09.514: INFO @main_loop : Training epoch 133 2021-02-04 23:43:25.287: INFO @log_variables: train loss nanmean: 1.403748 2021-02-04 23:43:25.288: INFO @log_variables: train age_loss mean: 10.603008 2021-02-04 23:43:25.288: INFO @log_variables: train gender_loss mean: 0.344250 2021-02-04 23:43:25.288: INFO @log_variables: train age_mae mean: 9.994957 2021-02-04 23:43:25.288: INFO @log_variables: train gender_accuracy mean: 0.846889 2021-02-04 23:43:25.288: INFO @log_variables: train gender_confidence/loss nanmean: 0.072430 2021-02-04 23:43:25.288: INFO @log_variables: train gender_confidence/accuracy mean: 0.751865 2021-02-04 23:43:25.288: INFO @log_variables: train age_confidence/loss mean: 0.054453 2021-02-04 23:43:25.288: INFO @log_variables: train age_confidence/accuracy mean: 0.687767 2021-02-04 23:43:25.288: INFO @log_variables: valid loss nanmean: 1.320246 2021-02-04 23:43:25.288: INFO @log_variables: valid age_loss mean: 9.943763 2021-02-04 23:43:25.288: INFO @log_variables: valid gender_loss mean: 0.312658 2021-02-04 23:43:25.288: INFO @log_variables: valid age_mae mean: 9.327066 2021-02-04 23:43:25.288: INFO @log_variables: valid gender_accuracy mean: 0.868038 2021-02-04 23:43:25.288: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071163 2021-02-04 23:43:25.288: INFO @log_variables: valid gender_confidence/accuracy mean: 0.817361 2021-02-04 23:43:25.288: INFO @log_variables: valid age_confidence/loss mean: 0.060870 2021-02-04 23:43:25.288: INFO @log_variables: valid age_confidence/accuracy mean: 0.635223 2021-02-04 23:43:25.288: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:43:25.289: INFO @metrics_hook: train age_mae: 9.995 +-0.163 (13807) 2021-02-04 23:43:25.290: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13807) 2021-02-04 23:43:26.763: INFO @metrics_hook: valid age_mae: 9.327 +-0.283 (3986) 2021-02-04 23:43:26.763: INFO @metrics_hook: valid gender_accuracy: 0.868 +-0.011 (3986) 2021-02-04 23:43:28.165: INFO @decay_lr : LR updated to `0.00015402482` 2021-02-04 23:43:28.166: INFO @log_profile : T train: 12.996497 2021-02-04 23:43:28.166: INFO @log_profile : T valid: 1.625929 2021-02-04 23:43:28.166: INFO @log_profile : T read data: 0.523425 2021-02-04 23:43:28.166: INFO @log_profile : T hooks: 3.457930 2021-02-04 23:43:28.166: INFO @main_loop : Epoch 133 done 2021-02-04 23:43:28.166: INFO @main_loop : Training epoch 134 2021-02-04 23:43:43.582: INFO @log_variables: train loss nanmean: 1.407387 2021-02-04 23:43:43.582: INFO @log_variables: train age_loss mean: 10.648663 2021-02-04 23:43:43.582: INFO @log_variables: train gender_loss mean: 0.344191 2021-02-04 23:43:43.582: INFO @log_variables: train age_mae mean: 10.037256 2021-02-04 23:43:43.582: INFO @log_variables: train gender_accuracy mean: 0.845631 2021-02-04 23:43:43.583: INFO @log_variables: train gender_confidence/loss nanmean: 0.071654 2021-02-04 23:43:43.583: INFO @log_variables: train gender_confidence/accuracy mean: 0.751230 2021-02-04 23:43:43.583: INFO @log_variables: train age_confidence/loss mean: 0.054772 2021-02-04 23:43:43.583: INFO @log_variables: train age_confidence/accuracy mean: 0.686270 2021-02-04 23:43:43.583: INFO @log_variables: valid loss nanmean: 1.293497 2021-02-04 23:43:43.583: INFO @log_variables: valid age_loss mean: 9.749097 2021-02-04 23:43:43.583: INFO @log_variables: valid gender_loss mean: 0.303262 2021-02-04 23:43:43.583: INFO @log_variables: valid age_mae mean: 9.139089 2021-02-04 23:43:43.583: INFO @log_variables: valid gender_accuracy mean: 0.871300 2021-02-04 23:43:43.583: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071028 2021-02-04 23:43:43.583: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830657 2021-02-04 23:43:43.583: INFO @log_variables: valid age_confidence/loss mean: 0.060494 2021-02-04 23:43:43.583: INFO @log_variables: valid age_confidence/accuracy mean: 0.648018 2021-02-04 23:43:43.583: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:43:43.584: INFO @metrics_hook: train age_mae: 10.037 +-0.162 (13824) 2021-02-04 23:43:43.585: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-02-04 23:43:45.020: INFO @metrics_hook: valid age_mae: 9.139 +-0.283 (3986) 2021-02-04 23:43:45.021: INFO @metrics_hook: valid gender_accuracy: 0.871 +-0.011 (3986) 2021-02-04 23:43:46.269: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:43:46.269: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:43:46.269: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:43:46.269: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:43:46.359: INFO @evaluate_confidence: Previous accuracy would be: 84.56 2021-02-04 23:43:46.359: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:43:46.364: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.79, 91.0, 91.4, 91.78, 92.08, 92.33, 92.59, 92.86, 93.18, 93.46, 93.86, 94.19, 94.5, 94.66, 94.8, 95.06, 95.24, 95.53, 95.62, 95.8, 96.03] 2021-02-04 23:43:46.364: INFO @evaluate_confidence: Dropped ratios are: [26.83, 28.18, 29.73, 31.11, 32.34, 33.66, 34.91, 36.18, 37.49, 38.72, 40.23, 41.56, 42.93, 44.06, 45.29, 46.45, 47.72, 48.89, 50.14, 51.39, 52.63] 2021-02-04 23:43:46.370: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:43:46.370: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:43:46.370: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:43:46.370: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.17 2021-02-04 23:43:46.469: INFO @evaluate_confidence: Previous accuracy would be: 38.04 2021-02-04 23:43:46.469: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:43:46.472: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [49.87, 50.93, 52.42, 53.75, 55.39, 56.7, 58.15, 59.53, 60.71, 62.52, 64.01, 65.09, 66.85] 2021-02-04 23:43:46.472: INFO @evaluate_confidence: Dropped ratios are: [52.26, 55.86, 59.25, 62.17, 64.84, 67.46, 69.78, 72.03, 73.97, 75.88, 77.57, 78.91, 80.21] 2021-02-04 23:43:46.474: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:43:46.474: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:43:46.474: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.16 2021-02-04 23:43:46.474: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.20 2021-02-04 23:43:46.551: INFO @evaluate_confidence: Previous accuracy would be: 87.13 2021-02-04 23:43:46.551: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:43:46.553: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.12, 93.18, 93.41, 93.53, 93.64, 94.0, 94.23, 94.29, 94.54, 94.83, 95.05, 95.38, 95.74, 95.78, 95.9, 96.08, 96.3, 96.43, 96.69, 96.76, 96.78, 96.99, 97.25, 97.24] 2021-02-04 23:43:46.553: INFO @evaluate_confidence: Dropped ratios are: [21.55, 22.35, 23.46, 24.36, 25.41, 26.47, 27.87, 28.88, 30.11, 31.54, 32.54, 33.77, 35.22, 36.35, 37.53, 38.48, 39.59, 41.02, 42.35, 43.45, 44.71, 45.84, 47.11, 48.19] 2021-02-04 23:43:46.554: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:43:46.554: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:43:46.555: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:43:46.555: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:43:46.652: INFO @evaluate_confidence: Previous accuracy would be: 40.19 2021-02-04 23:43:46.652: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:43:46.653: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.38, 51.46, 52.24, 53.64, 54.81, 55.65, 57.72, 59.16, 59.58] 2021-02-04 23:43:46.653: INFO @evaluate_confidence: Dropped ratios are: [53.44, 57.78, 61.34, 64.88, 67.91, 70.7, 73.18, 75.36, 77.47] 2021-02-04 23:43:46.663: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:43:47.037: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:43:47.100: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:43:47.371: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:43:47.530: INFO @decay_lr : LR updated to `0.00015325469` 2021-02-04 23:43:47.531: INFO @log_profile : T train: 12.918586 2021-02-04 23:43:47.531: INFO @log_profile : T valid: 1.506594 2021-02-04 23:43:47.531: INFO @log_profile : T read data: 0.390264 2021-02-04 23:43:47.531: INFO @log_profile : T hooks: 4.502164 2021-02-04 23:43:47.532: INFO @main_loop : Epoch 134 done 2021-02-04 23:43:47.532: INFO @main_loop : Training epoch 135 2021-02-04 23:44:03.057: INFO @log_variables: train loss nanmean: 1.381208 2021-02-04 23:44:03.057: INFO @log_variables: train age_loss mean: 10.430111 2021-02-04 23:44:03.057: INFO @log_variables: train gender_loss mean: 0.334992 2021-02-04 23:44:03.057: INFO @log_variables: train age_mae mean: 9.824262 2021-02-04 23:44:03.057: INFO @log_variables: train gender_accuracy mean: 0.852720 2021-02-04 23:44:03.057: INFO @log_variables: train gender_confidence/loss nanmean: 0.072812 2021-02-04 23:44:03.057: INFO @log_variables: train gender_confidence/accuracy mean: 0.762514 2021-02-04 23:44:03.058: INFO @log_variables: train age_confidence/loss mean: 0.055666 2021-02-04 23:44:03.058: INFO @log_variables: train age_confidence/accuracy mean: 0.681279 2021-02-04 23:44:03.058: INFO @log_variables: valid loss nanmean: 1.317874 2021-02-04 23:44:03.058: INFO @log_variables: valid age_loss mean: 9.983588 2021-02-04 23:44:03.058: INFO @log_variables: valid gender_loss mean: 0.306175 2021-02-04 23:44:03.058: INFO @log_variables: valid age_mae mean: 9.370675 2021-02-04 23:44:03.058: INFO @log_variables: valid gender_accuracy mean: 0.871550 2021-02-04 23:44:03.058: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071465 2021-02-04 23:44:03.058: INFO @log_variables: valid gender_confidence/accuracy mean: 0.808580 2021-02-04 23:44:03.058: INFO @log_variables: valid age_confidence/loss mean: 0.060470 2021-02-04 23:44:03.058: INFO @log_variables: valid age_confidence/accuracy mean: 0.646011 2021-02-04 23:44:03.058: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:44:03.060: INFO @metrics_hook: train age_mae: 9.824 +-0.160 (13824) 2021-02-04 23:44:03.061: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13824) 2021-02-04 23:44:04.542: INFO @metrics_hook: valid age_mae: 9.371 +-0.286 (3986) 2021-02-04 23:44:04.543: INFO @metrics_hook: valid gender_accuracy: 0.872 +-0.011 (3986) 2021-02-04 23:44:05.906: INFO @decay_lr : LR updated to `0.00015248841` 2021-02-04 23:44:05.907: INFO @log_profile : T train: 12.869080 2021-02-04 23:44:05.908: INFO @log_profile : T valid: 1.597119 2021-02-04 23:44:05.908: INFO @log_profile : T read data: 0.406606 2021-02-04 23:44:05.908: INFO @log_profile : T hooks: 3.452850 2021-02-04 23:44:05.908: INFO @main_loop : Epoch 135 done 2021-02-04 23:44:05.908: INFO @main_loop : Training epoch 136 2021-02-04 23:44:21.615: INFO @log_variables: train loss nanmean: 1.390639 2021-02-04 23:44:21.615: INFO @log_variables: train age_loss mean: 10.484090 2021-02-04 23:44:21.615: INFO @log_variables: train gender_loss mean: 0.340425 2021-02-04 23:44:21.615: INFO @log_variables: train age_mae mean: 9.875055 2021-02-04 23:44:21.615: INFO @log_variables: train gender_accuracy mean: 0.849424 2021-02-04 23:44:21.615: INFO @log_variables: train gender_confidence/loss nanmean: 0.072452 2021-02-04 23:44:21.615: INFO @log_variables: train gender_confidence/accuracy mean: 0.754690 2021-02-04 23:44:21.615: INFO @log_variables: train age_confidence/loss mean: 0.055612 2021-02-04 23:44:21.615: INFO @log_variables: train age_confidence/accuracy mean: 0.673644 2021-02-04 23:44:21.615: INFO @log_variables: valid loss nanmean: 1.288134 2021-02-04 23:44:21.615: INFO @log_variables: valid age_loss mean: 9.672518 2021-02-04 23:44:21.615: INFO @log_variables: valid gender_loss mean: 0.303296 2021-02-04 23:44:21.615: INFO @log_variables: valid age_mae mean: 9.065418 2021-02-04 23:44:21.615: INFO @log_variables: valid gender_accuracy mean: 0.868289 2021-02-04 23:44:21.615: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071313 2021-02-04 23:44:21.616: INFO @log_variables: valid gender_confidence/accuracy mean: 0.825640 2021-02-04 23:44:21.616: INFO @log_variables: valid age_confidence/loss mean: 0.061778 2021-02-04 23:44:21.616: INFO @log_variables: valid age_confidence/accuracy mean: 0.632213 2021-02-04 23:44:21.616: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:44:21.617: INFO @metrics_hook: train age_mae: 9.875 +-0.161 (13807) 2021-02-04 23:44:21.619: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13807) 2021-02-04 23:44:23.070: INFO @metrics_hook: valid age_mae: 9.065 +-0.282 (3986) 2021-02-04 23:44:23.071: INFO @metrics_hook: valid gender_accuracy: 0.868 +-0.011 (3986) 2021-02-04 23:44:24.331: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:44:24.332: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:44:24.332: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:44:24.332: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:44:24.415: INFO @evaluate_confidence: Previous accuracy would be: 84.94 2021-02-04 23:44:24.416: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:44:24.420: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.03, 91.41, 91.65, 92.01, 92.33, 92.6, 92.79, 93.15, 93.49, 93.81, 94.05, 94.36, 94.59, 94.86, 95.08, 95.17, 95.41, 95.6, 95.73, 95.94, 96.15] 2021-02-04 23:44:24.420: INFO @evaluate_confidence: Dropped ratios are: [26.38, 27.94, 29.43, 30.89, 32.32, 33.64, 34.97, 36.16, 37.46, 38.78, 40.13, 41.41, 42.53, 43.75, 44.94, 46.14, 47.49, 48.66, 49.74, 50.93, 52.21] 2021-02-04 23:44:24.427: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:44:24.427: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.21 2021-02-04 23:44:24.427: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:44:24.427: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:44:24.520: INFO @evaluate_confidence: Previous accuracy would be: 38.99 2021-02-04 23:44:24.521: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:44:24.524: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.0, 52.19, 53.28, 54.63, 55.94, 57.23, 58.46, 59.58, 61.01, 62.13, 63.21, 64.18] 2021-02-04 23:44:24.524: INFO @evaluate_confidence: Dropped ratios are: [52.84, 56.15, 59.19, 62.11, 64.86, 67.03, 69.35, 71.28, 73.25, 75.01, 76.29, 77.6] 2021-02-04 23:44:24.525: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:44:24.525: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.19 2021-02-04 23:44:24.525: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:44:24.526: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.20 2021-02-04 23:44:24.593: INFO @evaluate_confidence: Previous accuracy would be: 86.83 2021-02-04 23:44:24.593: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:44:24.595: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.48, 92.96, 93.23, 93.71, 94.03, 94.25, 94.4, 94.53, 94.83, 95.11, 95.24, 95.4, 95.81, 96.16, 96.25, 96.38, 96.44, 96.67, 96.78, 97.06, 97.12, 97.29, 97.36] 2021-02-04 23:44:24.595: INFO @evaluate_confidence: Dropped ratios are: [21.6, 22.68, 23.71, 25.06, 26.04, 27.2, 28.32, 29.35, 30.13, 31.31, 32.49, 33.39, 34.72, 36.0, 37.08, 38.26, 39.46, 40.52, 41.55, 42.82, 44.25, 45.46, 46.76] 2021-02-04 23:44:24.597: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:44:24.597: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.18 2021-02-04 23:44:24.597: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:44:24.597: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.15 2021-02-04 23:44:24.685: INFO @evaluate_confidence: Previous accuracy would be: 41.57 2021-02-04 23:44:24.685: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:44:24.686: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.64, 52.48, 53.56, 54.55, 56.17, 56.94, 58.02, 59.52] 2021-02-04 23:44:24.686: INFO @evaluate_confidence: Dropped ratios are: [54.77, 58.55, 61.92, 65.28, 68.69, 71.1, 73.88, 76.02] 2021-02-04 23:44:24.696: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:44:25.032: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:44:25.089: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:44:25.337: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:44:25.484: INFO @decay_lr : LR updated to `0.00015172597` 2021-02-04 23:44:25.485: INFO @log_profile : T train: 12.932697 2021-02-04 23:44:25.485: INFO @log_profile : T valid: 1.624597 2021-02-04 23:44:25.486: INFO @log_profile : T read data: 0.504143 2021-02-04 23:44:25.486: INFO @log_profile : T hooks: 4.467503 2021-02-04 23:44:25.486: INFO @main_loop : Epoch 136 done 2021-02-04 23:44:25.486: INFO @main_loop : Training epoch 137 2021-02-04 23:44:41.044: INFO @log_variables: train loss nanmean: 1.407550 2021-02-04 23:44:41.044: INFO @log_variables: train age_loss mean: 10.655737 2021-02-04 23:44:41.044: INFO @log_variables: train gender_loss mean: 0.343839 2021-02-04 23:44:41.045: INFO @log_variables: train age_mae mean: 10.045113 2021-02-04 23:44:41.045: INFO @log_variables: train gender_accuracy mean: 0.848524 2021-02-04 23:44:41.045: INFO @log_variables: train gender_confidence/loss nanmean: 0.072247 2021-02-04 23:44:41.045: INFO @log_variables: train gender_confidence/accuracy mean: 0.752894 2021-02-04 23:44:41.045: INFO @log_variables: train age_confidence/loss mean: 0.054019 2021-02-04 23:44:41.045: INFO @log_variables: train age_confidence/accuracy mean: 0.692925 2021-02-04 23:44:41.045: INFO @log_variables: valid loss nanmean: 1.292314 2021-02-04 23:44:41.045: INFO @log_variables: valid age_loss mean: 9.687388 2021-02-04 23:44:41.045: INFO @log_variables: valid gender_loss mean: 0.307678 2021-02-04 23:44:41.045: INFO @log_variables: valid age_mae mean: 9.079122 2021-02-04 23:44:41.045: INFO @log_variables: valid gender_accuracy mean: 0.865028 2021-02-04 23:44:41.045: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071052 2021-02-04 23:44:41.045: INFO @log_variables: valid gender_confidence/accuracy mean: 0.819870 2021-02-04 23:44:41.045: INFO @log_variables: valid age_confidence/loss mean: 0.060883 2021-02-04 23:44:41.045: INFO @log_variables: valid age_confidence/accuracy mean: 0.639237 2021-02-04 23:44:41.045: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:44:41.047: INFO @metrics_hook: train age_mae: 10.045 +-0.162 (13824) 2021-02-04 23:44:41.049: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-02-04 23:44:42.481: INFO @metrics_hook: valid age_mae: 9.079 +-0.276 (3986) 2021-02-04 23:44:42.481: INFO @metrics_hook: valid gender_accuracy: 0.865 +-0.011 (3986) 2021-02-04 23:44:43.802: INFO @decay_lr : LR updated to `0.00015096733` 2021-02-04 23:44:43.803: INFO @log_profile : T train: 12.906650 2021-02-04 23:44:43.803: INFO @log_profile : T valid: 1.614791 2021-02-04 23:44:43.803: INFO @log_profile : T read data: 0.402219 2021-02-04 23:44:43.803: INFO @log_profile : T hooks: 3.344368 2021-02-04 23:44:43.803: INFO @main_loop : Epoch 137 done 2021-02-04 23:44:43.803: INFO @main_loop : Training epoch 138 2021-02-04 23:44:59.353: INFO @log_variables: train loss nanmean: 1.382066 2021-02-04 23:44:59.353: INFO @log_variables: train age_loss mean: 10.316463 2021-02-04 23:44:59.353: INFO @log_variables: train gender_loss mean: 0.346311 2021-02-04 23:44:59.353: INFO @log_variables: train age_mae mean: 9.715318 2021-02-04 23:44:59.353: INFO @log_variables: train gender_accuracy mean: 0.847873 2021-02-04 23:44:59.353: INFO @log_variables: train gender_confidence/loss nanmean: 0.073667 2021-02-04 23:44:59.353: INFO @log_variables: train gender_confidence/accuracy mean: 0.750506 2021-02-04 23:44:59.353: INFO @log_variables: train age_confidence/loss mean: 0.055711 2021-02-04 23:44:59.353: INFO @log_variables: train age_confidence/accuracy mean: 0.679543 2021-02-04 23:44:59.353: INFO @log_variables: valid loss nanmean: 1.290073 2021-02-04 23:44:59.354: INFO @log_variables: valid age_loss mean: 9.768385 2021-02-04 23:44:59.354: INFO @log_variables: valid gender_loss mean: 0.297165 2021-02-04 23:44:59.354: INFO @log_variables: valid age_mae mean: 9.159048 2021-02-04 23:44:59.354: INFO @log_variables: valid gender_accuracy mean: 0.870296 2021-02-04 23:44:59.354: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070005 2021-02-04 23:44:59.354: INFO @log_variables: valid gender_confidence/accuracy mean: 0.818866 2021-02-04 23:44:59.354: INFO @log_variables: valid age_confidence/loss mean: 0.061883 2021-02-04 23:44:59.354: INFO @log_variables: valid age_confidence/accuracy mean: 0.633969 2021-02-04 23:44:59.354: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:44:59.356: INFO @metrics_hook: train age_mae: 9.715 +-0.159 (13824) 2021-02-04 23:44:59.357: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13824) 2021-02-04 23:45:00.810: INFO @metrics_hook: valid age_mae: 9.159 +-0.282 (3986) 2021-02-04 23:45:00.810: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-04 23:45:02.137: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:45:02.137: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:45:02.137: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:45:02.138: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:45:02.221: INFO @evaluate_confidence: Previous accuracy would be: 84.79 2021-02-04 23:45:02.221: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:45:02.226: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [90.9, 91.19, 91.55, 91.84, 92.25, 92.51, 92.78, 93.07, 93.29, 93.56, 93.9, 94.05, 94.22, 94.34, 94.59, 94.81, 94.88, 95.1, 95.34, 95.59, 95.73] 2021-02-04 23:45:02.226: INFO @evaluate_confidence: Dropped ratios are: [26.85, 28.39, 29.87, 31.3, 32.73, 34.13, 35.26, 36.57, 37.9, 39.21, 40.44, 41.8, 43.04, 44.12, 45.42, 46.77, 47.76, 48.9, 50.14, 51.43, 52.71] 2021-02-04 23:45:02.232: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:45:02.232: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:45:02.232: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:45:02.232: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:45:02.326: INFO @evaluate_confidence: Previous accuracy would be: 39.68 2021-02-04 23:45:02.326: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:45:02.330: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.95, 53.19, 54.55, 55.82, 57.19, 58.89, 60.42, 62.06, 63.73, 65.19, 66.42, 67.1, 68.39] 2021-02-04 23:45:02.330: INFO @evaluate_confidence: Dropped ratios are: [52.47, 55.76, 58.96, 61.81, 64.63, 66.97, 69.34, 71.34, 73.29, 74.98, 76.37, 77.66, 79.01] 2021-02-04 23:45:02.331: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:45:02.331: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:45:02.331: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.16 2021-02-04 23:45:02.332: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:45:02.410: INFO @evaluate_confidence: Previous accuracy would be: 87.03 2021-02-04 23:45:02.410: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:45:02.411: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.63, 92.95, 93.35, 93.74, 94.01, 94.38, 94.56, 94.82, 94.88, 95.07, 95.43, 95.69, 95.78, 96.0, 96.06, 96.21, 96.43, 96.57, 96.71, 96.95, 96.98, 97.11, 97.42, 97.6] 2021-02-04 23:45:02.412: INFO @evaluate_confidence: Dropped ratios are: [21.73, 22.8, 24.21, 25.49, 26.72, 27.75, 28.98, 30.31, 30.93, 31.86, 32.99, 34.19, 35.15, 36.08, 37.03, 38.36, 39.54, 40.69, 42.1, 43.25, 44.31, 45.36, 46.54, 47.82] 2021-02-04 23:45:02.413: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:45:02.413: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-04 23:45:02.413: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-04 23:45:02.413: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:45:02.501: INFO @evaluate_confidence: Previous accuracy would be: 41.02 2021-02-04 23:45:02.501: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:45:02.502: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.27, 52.12, 53.69, 54.14, 55.26, 56.3, 57.51, 58.65] 2021-02-04 23:45:02.502: INFO @evaluate_confidence: Dropped ratios are: [55.72, 59.13, 62.29, 65.43, 68.04, 70.55, 72.78, 74.76] 2021-02-04 23:45:02.511: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:45:02.858: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:02.916: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:45:03.182: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:03.334: INFO @decay_lr : LR updated to `0.0001502125` 2021-02-04 23:45:03.335: INFO @log_profile : T train: 12.906864 2021-02-04 23:45:03.335: INFO @log_profile : T valid: 1.605106 2021-02-04 23:45:03.335: INFO @log_profile : T read data: 0.398311 2021-02-04 23:45:03.335: INFO @log_profile : T hooks: 4.571997 2021-02-04 23:45:03.335: INFO @main_loop : Epoch 138 done 2021-02-04 23:45:03.335: INFO @main_loop : Training epoch 139 2021-02-04 23:45:18.398: INFO @log_variables: train loss nanmean: 1.400084 2021-02-04 23:45:18.398: INFO @log_variables: train age_loss mean: 10.608130 2021-02-04 23:45:18.398: INFO @log_variables: train gender_loss mean: 0.339137 2021-02-04 23:45:18.398: INFO @log_variables: train age_mae mean: 10.000869 2021-02-04 23:45:18.399: INFO @log_variables: train gender_accuracy mean: 0.853987 2021-02-04 23:45:18.399: INFO @log_variables: train gender_confidence/loss nanmean: 0.072981 2021-02-04 23:45:18.399: INFO @log_variables: train gender_confidence/accuracy mean: 0.754038 2021-02-04 23:45:18.399: INFO @log_variables: train age_confidence/loss mean: 0.054422 2021-02-04 23:45:18.399: INFO @log_variables: train age_confidence/accuracy mean: 0.691606 2021-02-04 23:45:18.399: INFO @log_variables: valid loss nanmean: 1.282771 2021-02-04 23:45:18.399: INFO @log_variables: valid age_loss mean: 9.709501 2021-02-04 23:45:18.399: INFO @log_variables: valid gender_loss mean: 0.300880 2021-02-04 23:45:18.399: INFO @log_variables: valid age_mae mean: 9.100690 2021-02-04 23:45:18.399: INFO @log_variables: valid gender_accuracy mean: 0.869292 2021-02-04 23:45:18.399: INFO @log_variables: valid gender_confidence/loss nanmean: 0.068026 2021-02-04 23:45:18.399: INFO @log_variables: valid gender_confidence/accuracy mean: 0.815354 2021-02-04 23:45:18.399: INFO @log_variables: valid age_confidence/loss mean: 0.058537 2021-02-04 23:45:18.399: INFO @log_variables: valid age_confidence/accuracy mean: 0.653788 2021-02-04 23:45:18.399: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:45:18.401: INFO @metrics_hook: train age_mae: 10.001 +-0.162 (13807) 2021-02-04 23:45:18.403: INFO @metrics_hook: train gender_accuracy: 0.854 +-0.006 (13807) 2021-02-04 23:45:19.804: INFO @metrics_hook: valid age_mae: 9.101 +-0.272 (3986) 2021-02-04 23:45:19.805: INFO @metrics_hook: valid gender_accuracy: 0.869 +-0.011 (3986) 2021-02-04 23:45:21.132: INFO @decay_lr : LR updated to `0.00014946143` 2021-02-04 23:45:21.133: INFO @log_profile : T train: 12.461351 2021-02-04 23:45:21.133: INFO @log_profile : T valid: 1.472797 2021-02-04 23:45:21.133: INFO @log_profile : T read data: 0.499510 2021-02-04 23:45:21.133: INFO @log_profile : T hooks: 3.318681 2021-02-04 23:45:21.133: INFO @main_loop : Epoch 139 done 2021-02-04 23:45:21.133: INFO @main_loop : Training epoch 140 2021-02-04 23:45:37.161: INFO @log_variables: train loss nanmean: 1.387504 2021-02-04 23:45:37.161: INFO @log_variables: train age_loss mean: 10.478783 2021-02-04 23:45:37.161: INFO @log_variables: train gender_loss mean: 0.339224 2021-02-04 23:45:37.162: INFO @log_variables: train age_mae mean: 9.873915 2021-02-04 23:45:37.162: INFO @log_variables: train gender_accuracy mean: 0.852420 2021-02-04 23:45:37.162: INFO @log_variables: train gender_confidence/loss nanmean: 0.071656 2021-02-04 23:45:37.162: INFO @log_variables: train gender_confidence/accuracy mean: 0.759242 2021-02-04 23:45:37.162: INFO @log_variables: train age_confidence/loss mean: 0.054846 2021-02-04 23:45:37.162: INFO @log_variables: train age_confidence/accuracy mean: 0.682920 2021-02-04 23:45:37.162: INFO @log_variables: valid loss nanmean: 1.271990 2021-02-04 23:45:37.162: INFO @log_variables: valid age_loss mean: 9.579192 2021-02-04 23:45:37.162: INFO @log_variables: valid gender_loss mean: 0.297218 2021-02-04 23:45:37.162: INFO @log_variables: valid age_mae mean: 8.977717 2021-02-04 23:45:37.162: INFO @log_variables: valid gender_accuracy mean: 0.873056 2021-02-04 23:45:37.162: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070554 2021-02-04 23:45:37.162: INFO @log_variables: valid gender_confidence/accuracy mean: 0.832915 2021-02-04 23:45:37.162: INFO @log_variables: valid age_confidence/loss mean: 0.060401 2021-02-04 23:45:37.162: INFO @log_variables: valid age_confidence/accuracy mean: 0.644757 2021-02-04 23:45:37.162: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:45:37.164: INFO @metrics_hook: train age_mae: 9.874 +-0.161 (13823) 2021-02-04 23:45:37.166: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13823) 2021-02-04 23:45:38.547: INFO @metrics_hook: valid age_mae: 8.978 +-0.274 (3986) 2021-02-04 23:45:38.547: INFO @metrics_hook: valid gender_accuracy: 0.873 +-0.011 (3986) 2021-02-04 23:45:39.758: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:45:39.758: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:45:39.758: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:45:39.758: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:45:39.834: INFO @evaluate_confidence: Previous accuracy would be: 85.24 2021-02-04 23:45:39.835: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:45:39.839: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.55, 91.84, 92.13, 92.26, 92.55, 92.88, 93.11, 93.41, 93.66, 93.82, 94.11, 94.21, 94.52, 94.81, 95.05, 95.14, 95.32, 95.39, 95.55, 95.77, 95.9] 2021-02-04 23:45:39.839: INFO @evaluate_confidence: Dropped ratios are: [26.39, 27.78, 29.2, 30.59, 31.94, 33.21, 34.67, 36.07, 37.42, 38.85, 40.08, 41.26, 42.66, 43.88, 45.21, 46.22, 47.43, 48.65, 49.77, 51.08, 52.33] 2021-02-04 23:45:39.845: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:45:39.845: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.22 2021-02-04 23:45:39.845: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:45:39.845: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:45:39.936: INFO @evaluate_confidence: Previous accuracy would be: 38.76 2021-02-04 23:45:39.936: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:45:39.939: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.46, 51.71, 53.0, 54.7, 55.71, 57.24, 58.74, 60.03, 61.45, 62.69, 63.95, 65.19, 66.56] 2021-02-04 23:45:39.939: INFO @evaluate_confidence: Dropped ratios are: [52.04, 55.45, 58.79, 61.64, 64.18, 66.77, 69.14, 71.24, 72.96, 74.64, 76.22, 77.57, 78.73] 2021-02-04 23:45:39.941: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:45:39.941: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-04 23:45:39.941: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.16 2021-02-04 23:45:39.941: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:45:40.008: INFO @evaluate_confidence: Previous accuracy would be: 87.31 2021-02-04 23:45:40.008: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-04 23:45:40.010: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.83, 93.11, 93.61, 93.76, 93.82, 94.02, 94.29, 94.56, 94.72, 95.02, 95.25, 95.42, 95.63, 95.88, 96.12, 96.23, 96.37, 96.56, 96.7, 96.89, 97.13, 97.22, 97.44, 97.71, 97.8] 2021-02-04 23:45:40.010: INFO @evaluate_confidence: Dropped ratios are: [20.6, 21.75, 23.06, 23.96, 24.91, 26.22, 27.45, 28.98, 30.18, 31.51, 32.44, 33.67, 34.52, 35.45, 36.68, 37.46, 38.56, 39.54, 40.64, 41.85, 43.13, 44.1, 45.16, 46.41, 47.62] 2021-02-04 23:45:40.012: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:45:40.012: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-04 23:45:40.012: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:45:40.012: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-04 23:45:40.096: INFO @evaluate_confidence: Previous accuracy would be: 41.04 2021-02-04 23:45:40.096: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:45:40.097: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.71, 52.71, 54.01, 55.44, 55.99, 57.63, 58.6, 59.9, 61.27] 2021-02-04 23:45:40.097: INFO @evaluate_confidence: Dropped ratios are: [54.59, 58.4, 61.87, 65.43, 67.96, 70.75, 73.46, 75.29, 77.52] 2021-02-04 23:45:40.107: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:45:40.439: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:40.498: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:45:40.742: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:40.798: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:45:41.134: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:41.194: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:45:41.194: INFO @evaluate_gender-age_model: groups 0 7.452265 1 11.278666 2 10.274060 3 8.460759 4 9.026490 5 10.386541 6 11.335636 7 10.586772 Name: errors, dtype: float64 2021-02-04 23:45:41.195: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:45:41.450: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:45:41.503: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:45:41.504: INFO @evaluate_gender-age_model: groups 0 7.562340 1 8.958308 2 8.860814 3 7.683306 4 9.041880 5 9.891464 6 10.429566 7 9.200698 Name: errors, dtype: float64 2021-02-04 23:45:41.600: INFO @decay_lr : LR updated to `0.00014871411` 2021-02-04 23:45:41.601: INFO @log_profile : T train: 12.851515 2021-02-04 23:45:41.601: INFO @log_profile : T valid: 1.615570 2021-02-04 23:45:41.601: INFO @log_profile : T read data: 0.398660 2021-02-04 23:45:41.601: INFO @log_profile : T hooks: 5.554719 2021-02-04 23:45:41.601: INFO @main_loop : Epoch 140 done 2021-02-04 23:45:41.601: INFO @main_loop : Training epoch 141 2021-02-04 23:45:57.077: INFO @log_variables: train loss nanmean: 1.382260 2021-02-04 23:45:57.077: INFO @log_variables: train age_loss mean: 10.467303 2021-02-04 23:45:57.077: INFO @log_variables: train gender_loss mean: 0.333913 2021-02-04 23:45:57.077: INFO @log_variables: train age_mae mean: 9.863289 2021-02-04 23:45:57.077: INFO @log_variables: train gender_accuracy mean: 0.855830 2021-02-04 23:45:57.077: INFO @log_variables: train gender_confidence/loss nanmean: 0.073073 2021-02-04 23:45:57.077: INFO @log_variables: train gender_confidence/accuracy mean: 0.758247 2021-02-04 23:45:57.077: INFO @log_variables: train age_confidence/loss mean: 0.054057 2021-02-04 23:45:57.077: INFO @log_variables: train age_confidence/accuracy mean: 0.689453 2021-02-04 23:45:57.077: INFO @log_variables: valid loss nanmean: 1.285874 2021-02-04 23:45:57.077: INFO @log_variables: valid age_loss mean: 9.694088 2021-02-04 23:45:57.077: INFO @log_variables: valid gender_loss mean: 0.300954 2021-02-04 23:45:57.077: INFO @log_variables: valid age_mae mean: 9.087988 2021-02-04 23:45:57.077: INFO @log_variables: valid gender_accuracy mean: 0.870798 2021-02-04 23:45:57.077: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071406 2021-02-04 23:45:57.077: INFO @log_variables: valid gender_confidence/accuracy mean: 0.829654 2021-02-04 23:45:57.078: INFO @log_variables: valid age_confidence/loss mean: 0.059592 2021-02-04 23:45:57.078: INFO @log_variables: valid age_confidence/accuracy mean: 0.649523 2021-02-04 23:45:57.078: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:45:57.079: INFO @metrics_hook: train age_mae: 9.863 +-0.160 (13824) 2021-02-04 23:45:57.081: INFO @metrics_hook: train gender_accuracy: 0.856 +-0.006 (13824) 2021-02-04 23:45:58.468: INFO @metrics_hook: valid age_mae: 9.088 +-0.278 (3986) 2021-02-04 23:45:58.469: INFO @metrics_hook: valid gender_accuracy: 0.871 +-0.011 (3986) 2021-02-04 23:45:59.763: INFO @decay_lr : LR updated to `0.00014797054` 2021-02-04 23:45:59.765: INFO @log_profile : T train: 12.797833 2021-02-04 23:45:59.765: INFO @log_profile : T valid: 1.624067 2021-02-04 23:45:59.765: INFO @log_profile : T read data: 0.404424 2021-02-04 23:45:59.765: INFO @log_profile : T hooks: 3.288325 2021-02-04 23:45:59.765: INFO @main_loop : Epoch 141 done 2021-02-04 23:45:59.765: INFO @main_loop : Training epoch 142 2021-02-04 23:46:15.381: INFO @log_variables: train loss nanmean: 1.368783 2021-02-04 23:46:15.382: INFO @log_variables: train age_loss mean: 10.360004 2021-02-04 23:46:15.382: INFO @log_variables: train gender_loss mean: 0.330497 2021-02-04 23:46:15.382: INFO @log_variables: train age_mae mean: 9.758075 2021-02-04 23:46:15.382: INFO @log_variables: train gender_accuracy mean: 0.855508 2021-02-04 23:46:15.382: INFO @log_variables: train gender_confidence/loss nanmean: 0.071691 2021-02-04 23:46:15.382: INFO @log_variables: train gender_confidence/accuracy mean: 0.758239 2021-02-04 23:46:15.382: INFO @log_variables: train age_confidence/loss mean: 0.054821 2021-02-04 23:46:15.382: INFO @log_variables: train age_confidence/accuracy mean: 0.683421 2021-02-04 23:46:15.382: INFO @log_variables: valid loss nanmean: 1.294339 2021-02-04 23:46:15.382: INFO @log_variables: valid age_loss mean: 9.684022 2021-02-04 23:46:15.382: INFO @log_variables: valid gender_loss mean: 0.310816 2021-02-04 23:46:15.382: INFO @log_variables: valid age_mae mean: 9.077812 2021-02-04 23:46:15.382: INFO @log_variables: valid gender_accuracy mean: 0.867035 2021-02-04 23:46:15.382: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069852 2021-02-04 23:46:15.382: INFO @log_variables: valid gender_confidence/accuracy mean: 0.819870 2021-02-04 23:46:15.382: INFO @log_variables: valid age_confidence/loss mean: 0.061561 2021-02-04 23:46:15.382: INFO @log_variables: valid age_confidence/accuracy mean: 0.635976 2021-02-04 23:46:15.382: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:46:15.384: INFO @metrics_hook: train age_mae: 9.758 +-0.159 (13807) 2021-02-04 23:46:15.386: INFO @metrics_hook: train gender_accuracy: 0.856 +-0.006 (13807) 2021-02-04 23:46:16.807: INFO @metrics_hook: valid age_mae: 9.078 +-0.279 (3986) 2021-02-04 23:46:16.807: INFO @metrics_hook: valid gender_accuracy: 0.867 +-0.011 (3986) 2021-02-04 23:46:18.024: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:46:18.024: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:46:18.025: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:46:18.025: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:46:18.105: INFO @evaluate_confidence: Previous accuracy would be: 85.55 2021-02-04 23:46:18.105: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:46:18.109: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.36, 91.67, 92.0, 92.16, 92.42, 92.56, 92.87, 93.13, 93.51, 93.86, 94.15, 94.32, 94.52, 94.65, 94.89, 95.11, 95.26, 95.54, 95.69, 95.81, 96.02] 2021-02-04 23:46:18.109: INFO @evaluate_confidence: Dropped ratios are: [25.81, 27.18, 28.59, 29.88, 31.17, 32.44, 33.74, 35.09, 36.36, 37.76, 39.09, 40.42, 41.53, 42.69, 43.97, 45.14, 46.18, 47.27, 48.42, 49.68, 50.85] 2021-02-04 23:46:18.115: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:46:18.115: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.22 2021-02-04 23:46:18.115: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:46:18.116: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:46:18.203: INFO @evaluate_confidence: Previous accuracy would be: 38.95 2021-02-04 23:46:18.203: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:46:18.206: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.14, 52.45, 53.79, 54.88, 56.21, 57.46, 59.05, 60.5, 61.85, 63.22, 64.54, 65.78, 67.06] 2021-02-04 23:46:18.206: INFO @evaluate_confidence: Dropped ratios are: [51.76, 55.11, 58.43, 61.38, 64.16, 66.51, 68.6, 70.68, 72.56, 74.19, 75.77, 77.23, 78.65] 2021-02-04 23:46:18.208: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:46:18.208: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:46:18.208: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:46:18.208: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:46:18.277: INFO @evaluate_confidence: Previous accuracy would be: 86.70 2021-02-04 23:46:18.277: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:46:18.278: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.68, 92.93, 93.39, 93.69, 93.85, 94.14, 94.37, 94.54, 94.64, 94.89, 95.18, 95.46, 95.64, 95.98, 96.05, 96.38, 96.57, 96.64, 96.79, 96.9, 96.97, 97.13, 97.16] 2021-02-04 23:46:18.279: INFO @evaluate_confidence: Dropped ratios are: [22.5, 23.76, 24.86, 26.07, 27.02, 28.12, 29.13, 30.21, 31.18, 32.26, 33.32, 34.24, 35.02, 36.3, 37.18, 38.33, 39.24, 40.32, 41.37, 42.57, 43.65, 44.86, 46.19] 2021-02-04 23:46:18.280: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:46:18.280: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.19 2021-02-04 23:46:18.280: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-04 23:46:18.280: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.16 2021-02-04 23:46:18.363: INFO @evaluate_confidence: Previous accuracy would be: 40.89 2021-02-04 23:46:18.364: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:46:18.364: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.48, 52.3, 53.41, 54.31, 54.88, 56.23, 57.4, 58.68] 2021-02-04 23:46:18.365: INFO @evaluate_confidence: Dropped ratios are: [55.8, 59.61, 63.17, 66.23, 68.92, 71.4, 73.91, 76.02] 2021-02-04 23:46:18.373: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:46:18.708: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:46:18.766: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:46:19.005: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:46:19.147: INFO @decay_lr : LR updated to `0.00014723069` 2021-02-04 23:46:19.148: INFO @log_profile : T train: 12.844099 2021-02-04 23:46:19.148: INFO @log_profile : T valid: 1.619385 2021-02-04 23:46:19.148: INFO @log_profile : T read data: 0.511478 2021-02-04 23:46:19.148: INFO @log_profile : T hooks: 4.359146 2021-02-04 23:46:19.148: INFO @main_loop : Epoch 142 done 2021-02-04 23:46:19.148: INFO @main_loop : Training epoch 143 2021-02-04 23:46:34.730: INFO @log_variables: train loss nanmean: 1.357317 2021-02-04 23:46:34.731: INFO @log_variables: train age_loss mean: 10.223270 2021-02-04 23:46:34.731: INFO @log_variables: train gender_loss mean: 0.331046 2021-02-04 23:46:34.731: INFO @log_variables: train age_mae mean: 9.626227 2021-02-04 23:46:34.731: INFO @log_variables: train gender_accuracy mean: 0.853588 2021-02-04 23:46:34.731: INFO @log_variables: train gender_confidence/loss nanmean: 0.071876 2021-02-04 23:46:34.731: INFO @log_variables: train gender_confidence/accuracy mean: 0.766276 2021-02-04 23:46:34.731: INFO @log_variables: train age_confidence/loss mean: 0.055102 2021-02-04 23:46:34.731: INFO @log_variables: train age_confidence/accuracy mean: 0.684172 2021-02-04 23:46:34.731: INFO @log_variables: valid loss nanmean: 1.291970 2021-02-04 23:46:34.731: INFO @log_variables: valid age_loss mean: 9.734817 2021-02-04 23:46:34.731: INFO @log_variables: valid gender_loss mean: 0.302313 2021-02-04 23:46:34.731: INFO @log_variables: valid age_mae mean: 9.122007 2021-02-04 23:46:34.731: INFO @log_variables: valid gender_accuracy mean: 0.872554 2021-02-04 23:46:34.731: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070377 2021-02-04 23:46:34.731: INFO @log_variables: valid gender_confidence/accuracy mean: 0.800803 2021-02-04 23:46:34.731: INFO @log_variables: valid age_confidence/loss mean: 0.061781 2021-02-04 23:46:34.731: INFO @log_variables: valid age_confidence/accuracy mean: 0.637230 2021-02-04 23:46:34.732: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:46:34.733: INFO @metrics_hook: train age_mae: 9.626 +-0.158 (13824) 2021-02-04 23:46:34.735: INFO @metrics_hook: train gender_accuracy: 0.854 +-0.006 (13824) 2021-02-04 23:46:36.250: INFO @metrics_hook: valid age_mae: 9.122 +-0.278 (3986) 2021-02-04 23:46:36.250: INFO @metrics_hook: valid gender_accuracy: 0.873 +-0.011 (3986) 2021-02-04 23:46:37.549: INFO @decay_lr : LR updated to `0.00014649454` 2021-02-04 23:46:37.550: INFO @log_profile : T train: 12.868716 2021-02-04 23:46:37.550: INFO @log_profile : T valid: 1.650635 2021-02-04 23:46:37.550: INFO @log_profile : T read data: 0.402880 2021-02-04 23:46:37.550: INFO @log_profile : T hooks: 3.429730 2021-02-04 23:46:37.550: INFO @main_loop : Epoch 143 done 2021-02-04 23:46:37.550: INFO @main_loop : Training epoch 144 2021-02-04 23:46:52.262: INFO @log_variables: train loss nanmean: 1.378911 2021-02-04 23:46:52.262: INFO @log_variables: train age_loss mean: 10.450238 2021-02-04 23:46:52.262: INFO @log_variables: train gender_loss mean: 0.330996 2021-02-04 23:46:52.262: INFO @log_variables: train age_mae mean: 9.842944 2021-02-04 23:46:52.262: INFO @log_variables: train gender_accuracy mean: 0.857350 2021-02-04 23:46:52.262: INFO @log_variables: train gender_confidence/loss nanmean: 0.072035 2021-02-04 23:46:52.262: INFO @log_variables: train gender_confidence/accuracy mean: 0.756293 2021-02-04 23:46:52.262: INFO @log_variables: train age_confidence/loss mean: 0.055948 2021-02-04 23:46:52.262: INFO @log_variables: train age_confidence/accuracy mean: 0.674696 2021-02-04 23:46:52.262: INFO @log_variables: valid loss nanmean: 1.279753 2021-02-04 23:46:52.262: INFO @log_variables: valid age_loss mean: 9.572368 2021-02-04 23:46:52.262: INFO @log_variables: valid gender_loss mean: 0.304707 2021-02-04 23:46:52.262: INFO @log_variables: valid age_mae mean: 8.967375 2021-02-04 23:46:52.262: INFO @log_variables: valid gender_accuracy mean: 0.871049 2021-02-04 23:46:52.263: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071712 2021-02-04 23:46:52.263: INFO @log_variables: valid gender_confidence/accuracy mean: 0.817110 2021-02-04 23:46:52.263: INFO @log_variables: valid age_confidence/loss mean: 0.060820 2021-02-04 23:46:52.263: INFO @log_variables: valid age_confidence/accuracy mean: 0.641495 2021-02-04 23:46:52.263: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:46:52.264: INFO @metrics_hook: train age_mae: 9.843 +-0.162 (13824) 2021-02-04 23:46:52.266: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13824) 2021-02-04 23:46:53.716: INFO @metrics_hook: valid age_mae: 8.967 +-0.279 (3986) 2021-02-04 23:46:53.717: INFO @metrics_hook: valid gender_accuracy: 0.871 +-0.011 (3986) 2021-02-04 23:46:54.991: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:46:54.991: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:46:54.991: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:46:54.991: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:46:55.072: INFO @evaluate_confidence: Previous accuracy would be: 85.73 2021-02-04 23:46:55.072: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:46:55.076: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.59, 91.9, 92.1, 92.33, 92.52, 92.82, 93.14, 93.37, 93.63, 93.88, 94.18, 94.41, 94.56, 94.83, 95.12, 95.3, 95.46, 95.57, 95.79, 95.84, 95.95] 2021-02-04 23:46:55.076: INFO @evaluate_confidence: Dropped ratios are: [26.22, 27.52, 28.7, 30.06, 31.24, 32.57, 33.98, 35.26, 36.39, 37.62, 38.8, 39.96, 41.19, 42.51, 43.73, 44.95, 46.15, 47.21, 48.45, 49.54, 50.75] 2021-02-04 23:46:55.082: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:46:55.082: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:46:55.082: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:46:55.083: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:46:55.172: INFO @evaluate_confidence: Previous accuracy would be: 39.78 2021-02-04 23:46:55.172: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:46:55.175: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.79, 52.96, 54.15, 55.32, 56.68, 58.12, 59.58, 60.92, 61.97, 63.09, 64.53, 66.03, 67.0] 2021-02-04 23:46:55.175: INFO @evaluate_confidence: Dropped ratios are: [52.08, 55.4, 58.54, 61.31, 63.82, 66.38, 68.75, 70.79, 72.78, 74.7, 76.1, 77.41, 78.6] 2021-02-04 23:46:55.177: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:46:55.177: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.19 2021-02-04 23:46:55.177: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.16 2021-02-04 23:46:55.177: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.20 2021-02-04 23:46:55.244: INFO @evaluate_confidence: Previous accuracy would be: 87.10 2021-02-04 23:46:55.245: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:46:55.246: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.25, 92.67, 92.98, 93.31, 93.45, 93.92, 94.12, 94.4, 94.84, 95.07, 95.17, 95.42, 95.65, 95.88, 96.05, 96.21, 96.5, 96.77, 97.06, 97.23, 97.4, 97.54] 2021-02-04 23:46:55.246: INFO @evaluate_confidence: Dropped ratios are: [22.28, 23.63, 24.96, 26.09, 26.89, 27.85, 28.8, 30.08, 31.51, 32.84, 33.47, 34.75, 35.93, 37.26, 38.41, 39.69, 41.19, 42.55, 43.7, 44.83, 45.91, 47.06] 2021-02-04 23:46:55.248: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:46:55.248: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.17 2021-02-04 23:46:55.248: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:46:55.248: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.14 2021-02-04 23:46:55.336: INFO @evaluate_confidence: Previous accuracy would be: 41.72 2021-02-04 23:46:55.337: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:46:55.338: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.36, 54.27, 55.13, 55.86, 56.92, 58.24, 60.16, 61.03, 62.16] 2021-02-04 23:46:55.338: INFO @evaluate_confidence: Dropped ratios are: [54.01, 57.38, 61.36, 64.7, 67.56, 70.32, 72.35, 74.76, 76.79] 2021-02-04 23:46:55.347: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:46:55.699: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:46:55.757: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:46:56.004: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:46:56.156: INFO @decay_lr : LR updated to `0.00014576207` 2021-02-04 23:46:56.157: INFO @log_profile : T train: 12.344630 2021-02-04 23:46:56.158: INFO @log_profile : T valid: 1.342397 2021-02-04 23:46:56.158: INFO @log_profile : T read data: 0.403847 2021-02-04 23:46:56.158: INFO @log_profile : T hooks: 4.469818 2021-02-04 23:46:56.158: INFO @main_loop : Epoch 144 done 2021-02-04 23:46:56.158: INFO @main_loop : Training epoch 145 2021-02-04 23:47:11.834: INFO @log_variables: train loss nanmean: 1.359774 2021-02-04 23:47:11.834: INFO @log_variables: train age_loss mean: 10.192227 2021-02-04 23:47:11.834: INFO @log_variables: train gender_loss mean: 0.336361 2021-02-04 23:47:11.834: INFO @log_variables: train age_mae mean: 9.594431 2021-02-04 23:47:11.834: INFO @log_variables: train gender_accuracy mean: 0.853118 2021-02-04 23:47:11.834: INFO @log_variables: train gender_confidence/loss nanmean: 0.072039 2021-02-04 23:47:11.834: INFO @log_variables: train gender_confidence/accuracy mean: 0.754762 2021-02-04 23:47:11.834: INFO @log_variables: train age_confidence/loss mean: 0.055387 2021-02-04 23:47:11.834: INFO @log_variables: train age_confidence/accuracy mean: 0.676179 2021-02-04 23:47:11.834: INFO @log_variables: valid loss nanmean: 1.270880 2021-02-04 23:47:11.834: INFO @log_variables: valid age_loss mean: 9.614583 2021-02-04 23:47:11.834: INFO @log_variables: valid gender_loss mean: 0.292456 2021-02-04 23:47:11.835: INFO @log_variables: valid age_mae mean: 9.005347 2021-02-04 23:47:11.835: INFO @log_variables: valid gender_accuracy mean: 0.875815 2021-02-04 23:47:11.835: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069923 2021-02-04 23:47:11.835: INFO @log_variables: valid gender_confidence/accuracy mean: 0.820622 2021-02-04 23:47:11.835: INFO @log_variables: valid age_confidence/loss mean: 0.061035 2021-02-04 23:47:11.835: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-04 23:47:11.835: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:47:11.837: INFO @metrics_hook: train age_mae: 9.594 +-0.155 (13807) 2021-02-04 23:47:11.838: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13807) 2021-02-04 23:47:13.322: INFO @metrics_hook: valid age_mae: 9.005 +-0.275 (3986) 2021-02-04 23:47:13.323: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:47:14.657: INFO @decay_lr : LR updated to `0.00014503326` 2021-02-04 23:47:14.843: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:47:14.845: INFO @log_profile : T train: 12.915703 2021-02-04 23:47:14.845: INFO @log_profile : T valid: 1.604948 2021-02-04 23:47:14.845: INFO @log_profile : T read data: 0.506103 2021-02-04 23:47:14.845: INFO @log_profile : T hooks: 3.612113 2021-02-04 23:47:14.845: INFO @main_loop : Epoch 145 done 2021-02-04 23:47:14.845: INFO @main_loop : Training epoch 146 2021-02-04 23:47:30.120: INFO @log_variables: train loss nanmean: 1.353498 2021-02-04 23:47:30.120: INFO @log_variables: train age_loss mean: 10.156782 2021-02-04 23:47:30.120: INFO @log_variables: train gender_loss mean: 0.332275 2021-02-04 23:47:30.120: INFO @log_variables: train age_mae mean: 9.558466 2021-02-04 23:47:30.120: INFO @log_variables: train gender_accuracy mean: 0.854673 2021-02-04 23:47:30.121: INFO @log_variables: train gender_confidence/loss nanmean: 0.072428 2021-02-04 23:47:30.121: INFO @log_variables: train gender_confidence/accuracy mean: 0.754196 2021-02-04 23:47:30.121: INFO @log_variables: train age_confidence/loss mean: 0.055658 2021-02-04 23:47:30.121: INFO @log_variables: train age_confidence/accuracy mean: 0.674407 2021-02-04 23:47:30.121: INFO @log_variables: valid loss nanmean: 1.274680 2021-02-04 23:47:30.121: INFO @log_variables: valid age_loss mean: 9.608727 2021-02-04 23:47:30.121: INFO @log_variables: valid gender_loss mean: 0.295458 2021-02-04 23:47:30.121: INFO @log_variables: valid age_mae mean: 9.003685 2021-02-04 23:47:30.121: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-04 23:47:30.121: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071928 2021-02-04 23:47:30.121: INFO @log_variables: valid gender_confidence/accuracy mean: 0.819117 2021-02-04 23:47:30.121: INFO @log_variables: valid age_confidence/loss mean: 0.060632 2021-02-04 23:47:30.121: INFO @log_variables: valid age_confidence/accuracy mean: 0.646513 2021-02-04 23:47:30.121: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:47:30.123: INFO @metrics_hook: train age_mae: 9.558 +-0.156 (13824) 2021-02-04 23:47:30.125: INFO @metrics_hook: train gender_accuracy: 0.855 +-0.006 (13824) 2021-02-04 23:47:31.557: INFO @metrics_hook: valid age_mae: 9.004 +-0.276 (3986) 2021-02-04 23:47:31.558: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-04 23:47:32.785: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:47:32.785: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.22 2021-02-04 23:47:32.785: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:47:32.785: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:47:32.862: INFO @evaluate_confidence: Previous accuracy would be: 85.47 2021-02-04 23:47:32.862: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:47:32.867: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.22, 91.42, 91.61, 91.85, 92.13, 92.38, 92.66, 92.86, 93.22, 93.5, 93.85, 94.1, 94.25, 94.46, 94.7, 94.9, 95.1, 95.31, 95.52, 95.73, 95.86] 2021-02-04 23:47:32.867: INFO @evaluate_confidence: Dropped ratios are: [26.14, 27.37, 28.6, 29.88, 31.11, 32.23, 33.42, 34.68, 36.08, 37.45, 38.82, 40.0, 41.12, 42.33, 43.61, 44.81, 46.01, 47.22, 48.38, 49.63, 50.74] 2021-02-04 23:47:32.873: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:47:32.873: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:47:32.873: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:47:32.873: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:47:32.963: INFO @evaluate_confidence: Previous accuracy would be: 39.53 2021-02-04 23:47:32.963: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:47:32.966: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.82, 53.19, 54.27, 55.42, 57.05, 58.32, 59.64, 61.38, 62.68, 63.39, 64.43, 65.67, 67.01] 2021-02-04 23:47:32.966: INFO @evaluate_confidence: Dropped ratios are: [51.64, 55.08, 58.35, 61.27, 64.13, 66.61, 68.85, 70.95, 72.79, 74.57, 76.16, 77.77, 79.08] 2021-02-04 23:47:32.968: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:47:32.968: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:47:32.968: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:47:32.968: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:47:33.036: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-04 23:47:33.037: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:47:33.038: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.5, 93.65, 93.86, 94.07, 94.27, 94.53, 94.75, 94.85, 95.05, 95.14, 95.31, 95.49, 95.73, 95.91, 96.2, 96.22, 96.41, 96.68, 96.79, 96.91, 97.11, 97.33, 97.5] 2021-02-04 23:47:33.038: INFO @evaluate_confidence: Dropped ratios are: [22.05, 23.38, 24.76, 25.59, 26.82, 28.0, 28.8, 29.9, 31.13, 32.36, 33.62, 34.9, 35.95, 36.83, 37.98, 38.94, 39.94, 41.14, 42.2, 43.2, 44.41, 45.58, 46.74] 2021-02-04 23:47:33.040: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:47:33.040: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:47:33.040: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:47:33.040: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.14 2021-02-04 23:47:33.131: INFO @evaluate_confidence: Previous accuracy would be: 40.92 2021-02-04 23:47:33.131: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:47:33.132: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.3, 53.38, 53.97, 54.85, 56.73, 59.57, 61.13, 62.73, 64.13] 2021-02-04 23:47:33.132: INFO @evaluate_confidence: Dropped ratios are: [54.14, 58.08, 62.39, 65.83, 69.04, 72.88, 75.54, 77.72, 79.58] 2021-02-04 23:47:33.141: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:47:33.490: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:47:33.543: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:47:33.794: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:47:33.947: INFO @decay_lr : LR updated to `0.0001443081` 2021-02-04 23:47:34.170: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:47:34.172: INFO @log_profile : T train: 12.766913 2021-02-04 23:47:34.172: INFO @log_profile : T valid: 1.489281 2021-02-04 23:47:34.172: INFO @log_profile : T read data: 0.395002 2021-02-04 23:47:34.172: INFO @log_profile : T hooks: 4.627853 2021-02-04 23:47:34.172: INFO @main_loop : Epoch 146 done 2021-02-04 23:47:34.172: INFO @main_loop : Training epoch 147 2021-02-04 23:47:48.900: INFO @log_variables: train loss nanmean: 1.379303 2021-02-04 23:47:48.900: INFO @log_variables: train age_loss mean: 10.499602 2021-02-04 23:47:48.900: INFO @log_variables: train gender_loss mean: 0.327210 2021-02-04 23:47:48.900: INFO @log_variables: train age_mae mean: 9.892289 2021-02-04 23:47:48.900: INFO @log_variables: train gender_accuracy mean: 0.857422 2021-02-04 23:47:48.900: INFO @log_variables: train gender_confidence/loss nanmean: 0.072416 2021-02-04 23:47:48.900: INFO @log_variables: train gender_confidence/accuracy mean: 0.754557 2021-02-04 23:47:48.900: INFO @log_variables: train age_confidence/loss mean: 0.054914 2021-02-04 23:47:48.900: INFO @log_variables: train age_confidence/accuracy mean: 0.690538 2021-02-04 23:47:48.900: INFO @log_variables: valid loss nanmean: 1.304568 2021-02-04 23:47:48.900: INFO @log_variables: valid age_loss mean: 9.884859 2021-02-04 23:47:48.900: INFO @log_variables: valid gender_loss mean: 0.302366 2021-02-04 23:47:48.901: INFO @log_variables: valid age_mae mean: 9.279933 2021-02-04 23:47:48.901: INFO @log_variables: valid gender_accuracy mean: 0.870547 2021-02-04 23:47:48.901: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072909 2021-02-04 23:47:48.901: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827898 2021-02-04 23:47:48.901: INFO @log_variables: valid age_confidence/loss mean: 0.058157 2021-02-04 23:47:48.901: INFO @log_variables: valid age_confidence/accuracy mean: 0.654792 2021-02-04 23:47:48.901: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:47:48.903: INFO @metrics_hook: train age_mae: 9.892 +-0.161 (13824) 2021-02-04 23:47:48.904: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13824) 2021-02-04 23:47:50.321: INFO @metrics_hook: valid age_mae: 9.280 +-0.277 (3986) 2021-02-04 23:47:50.321: INFO @metrics_hook: valid gender_accuracy: 0.871 +-0.011 (3986) 2021-02-04 23:47:51.674: INFO @decay_lr : LR updated to `0.00014358656` 2021-02-04 23:47:51.675: INFO @log_profile : T train: 12.328216 2021-02-04 23:47:51.675: INFO @log_profile : T valid: 1.374679 2021-02-04 23:47:51.675: INFO @log_profile : T read data: 0.389751 2021-02-04 23:47:51.675: INFO @log_profile : T hooks: 3.365735 2021-02-04 23:47:51.675: INFO @main_loop : Epoch 147 done 2021-02-04 23:47:51.675: INFO @main_loop : Training epoch 148 2021-02-04 23:48:06.849: INFO @log_variables: train loss nanmean: 1.371231 2021-02-04 23:48:06.849: INFO @log_variables: train age_loss mean: 10.320678 2021-02-04 23:48:06.849: INFO @log_variables: train gender_loss mean: 0.333635 2021-02-04 23:48:06.850: INFO @log_variables: train age_mae mean: 9.719644 2021-02-04 23:48:06.850: INFO @log_variables: train gender_accuracy mean: 0.857174 2021-02-04 23:48:06.850: INFO @log_variables: train gender_confidence/loss nanmean: 0.074182 2021-02-04 23:48:06.850: INFO @log_variables: train gender_confidence/accuracy mean: 0.755993 2021-02-04 23:48:06.850: INFO @log_variables: train age_confidence/loss mean: 0.055501 2021-02-04 23:48:06.850: INFO @log_variables: train age_confidence/accuracy mean: 0.680887 2021-02-04 23:48:06.850: INFO @log_variables: valid loss nanmean: 1.275234 2021-02-04 23:48:06.850: INFO @log_variables: valid age_loss mean: 9.591234 2021-02-04 23:48:06.850: INFO @log_variables: valid gender_loss mean: 0.298122 2021-02-04 23:48:06.850: INFO @log_variables: valid age_mae mean: 8.987946 2021-02-04 23:48:06.850: INFO @log_variables: valid gender_accuracy mean: 0.876568 2021-02-04 23:48:06.850: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072055 2021-02-04 23:48:06.850: INFO @log_variables: valid gender_confidence/accuracy mean: 0.819368 2021-02-04 23:48:06.850: INFO @log_variables: valid age_confidence/loss mean: 0.060230 2021-02-04 23:48:06.850: INFO @log_variables: valid age_confidence/accuracy mean: 0.648520 2021-02-04 23:48:06.850: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:48:06.852: INFO @metrics_hook: train age_mae: 9.720 +-0.158 (13807) 2021-02-04 23:48:06.854: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13807) 2021-02-04 23:48:08.417: INFO @metrics_hook: valid age_mae: 8.988 +-0.273 (3986) 2021-02-04 23:48:08.417: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-04 23:48:09.777: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:48:09.777: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:48:09.777: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.51 +- 0.17 2021-02-04 23:48:09.777: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:48:09.863: INFO @evaluate_confidence: Previous accuracy would be: 85.72 2021-02-04 23:48:09.863: INFO @evaluate_confidence: Possible optimal thresholds are: [0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:48:09.869: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.74, 91.98, 92.31, 92.55, 92.7, 92.9, 93.09, 93.43, 93.53, 93.8, 94.0, 94.25, 94.42, 94.58, 94.78, 94.89, 95.19, 95.44, 95.6, 95.78] 2021-02-04 23:48:09.869: INFO @evaluate_confidence: Dropped ratios are: [27.12, 28.57, 29.85, 31.01, 32.21, 33.4, 34.69, 36.18, 37.53, 38.86, 39.87, 41.1, 42.41, 43.49, 44.81, 46.03, 47.32, 48.66, 49.84, 51.26] 2021-02-04 23:48:09.875: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:48:09.875: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:48:09.875: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:48:09.876: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:48:09.982: INFO @evaluate_confidence: Previous accuracy would be: 39.38 2021-02-04 23:48:09.982: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:48:09.985: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.96, 53.2, 54.78, 56.01, 57.05, 58.43, 59.92, 61.63, 63.01, 64.3, 65.2, 66.63, 67.86] 2021-02-04 23:48:09.985: INFO @evaluate_confidence: Dropped ratios are: [52.57, 55.92, 58.96, 61.85, 64.35, 66.63, 69.04, 71.04, 72.92, 74.68, 76.13, 77.6, 78.95] 2021-02-04 23:48:09.987: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:48:09.987: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.77 +- 0.19 2021-02-04 23:48:09.987: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:48:09.987: INFO @evaluate_confidence: Average confidence of all samples 0.74 +- 0.20 2021-02-04 23:48:10.071: INFO @evaluate_confidence: Previous accuracy would be: 87.66 2021-02-04 23:48:10.071: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76] 2021-02-04 23:48:10.073: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.42, 93.8, 93.89, 94.05, 94.34, 94.45, 94.85, 95.13, 95.24, 95.5, 95.6, 95.76, 95.79, 96.11, 96.13, 96.3, 96.52, 96.67, 96.76, 97.01, 97.18, 97.42] 2021-02-04 23:48:10.073: INFO @evaluate_confidence: Dropped ratios are: [22.58, 23.91, 24.86, 25.82, 27.3, 28.58, 29.88, 31.03, 32.01, 33.14, 34.4, 35.52, 36.78, 38.11, 39.09, 40.37, 41.65, 42.82, 44.23, 45.43, 46.69, 47.59] 2021-02-04 23:48:10.075: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:48:10.075: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.18 2021-02-04 23:48:10.075: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:48:10.075: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:48:10.175: INFO @evaluate_confidence: Previous accuracy would be: 40.57 2021-02-04 23:48:10.176: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48] 2021-02-04 23:48:10.177: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.46, 53.61, 55.08, 55.8, 56.45, 58.08, 58.83, 60.12, 61.21, 61.91] 2021-02-04 23:48:10.177: INFO @evaluate_confidence: Dropped ratios are: [54.14, 57.98, 61.52, 65.15, 68.09, 70.8, 73.31, 75.46, 77.62, 79.25] 2021-02-04 23:48:10.188: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:48:10.598: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:10.665: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:48:10.956: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:11.122: INFO @decay_lr : LR updated to `0.00014286862` 2021-02-04 23:48:11.123: INFO @log_profile : T train: 12.491631 2021-02-04 23:48:11.123: INFO @log_profile : T valid: 1.539319 2021-02-04 23:48:11.123: INFO @log_profile : T read data: 0.506100 2021-02-04 23:48:11.123: INFO @log_profile : T hooks: 4.866508 2021-02-04 23:48:11.123: INFO @main_loop : Epoch 148 done 2021-02-04 23:48:11.123: INFO @main_loop : Training epoch 149 2021-02-04 23:48:26.524: INFO @log_variables: train loss nanmean: 1.359973 2021-02-04 23:48:26.524: INFO @log_variables: train age_loss mean: 10.215867 2021-02-04 23:48:26.524: INFO @log_variables: train gender_loss mean: 0.333601 2021-02-04 23:48:26.524: INFO @log_variables: train age_mae mean: 9.612836 2021-02-04 23:48:26.524: INFO @log_variables: train gender_accuracy mean: 0.851924 2021-02-04 23:48:26.524: INFO @log_variables: train gender_confidence/loss nanmean: 0.072198 2021-02-04 23:48:26.524: INFO @log_variables: train gender_confidence/accuracy mean: 0.760127 2021-02-04 23:48:26.525: INFO @log_variables: train age_confidence/loss mean: 0.055787 2021-02-04 23:48:26.525: INFO @log_variables: train age_confidence/accuracy mean: 0.680049 2021-02-04 23:48:26.525: INFO @log_variables: valid loss nanmean: 1.253414 2021-02-04 23:48:26.525: INFO @log_variables: valid age_loss mean: 9.500607 2021-02-04 23:48:26.525: INFO @log_variables: valid gender_loss mean: 0.288359 2021-02-04 23:48:26.525: INFO @log_variables: valid age_mae mean: 8.902563 2021-02-04 23:48:26.525: INFO @log_variables: valid gender_accuracy mean: 0.875564 2021-02-04 23:48:26.525: INFO @log_variables: valid gender_confidence/loss nanmean: 0.068375 2021-02-04 23:48:26.525: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835675 2021-02-04 23:48:26.525: INFO @log_variables: valid age_confidence/loss mean: 0.059202 2021-02-04 23:48:26.525: INFO @log_variables: valid age_confidence/accuracy mean: 0.651279 2021-02-04 23:48:26.525: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:48:26.526: INFO @metrics_hook: train age_mae: 9.613 +-0.158 (13824) 2021-02-04 23:48:26.527: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-02-04 23:48:27.976: INFO @metrics_hook: valid age_mae: 8.903 +-0.268 (3986) 2021-02-04 23:48:27.977: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:48:29.324: INFO @decay_lr : LR updated to `0.00014215428` 2021-02-04 23:48:29.325: INFO @log_profile : T train: 12.872820 2021-02-04 23:48:29.326: INFO @log_profile : T valid: 1.499795 2021-02-04 23:48:29.326: INFO @log_profile : T read data: 0.400808 2021-02-04 23:48:29.326: INFO @log_profile : T hooks: 3.380783 2021-02-04 23:48:29.326: INFO @main_loop : Epoch 149 done 2021-02-04 23:48:29.326: INFO @main_loop : Training epoch 150 2021-02-04 23:48:45.562: INFO @log_variables: train loss nanmean: 1.361853 2021-02-04 23:48:45.562: INFO @log_variables: train age_loss mean: 10.319358 2021-02-04 23:48:45.562: INFO @log_variables: train gender_loss mean: 0.325024 2021-02-04 23:48:45.562: INFO @log_variables: train age_mae mean: 9.717867 2021-02-04 23:48:45.562: INFO @log_variables: train gender_accuracy mean: 0.857391 2021-02-04 23:48:45.562: INFO @log_variables: train gender_confidence/loss nanmean: 0.071965 2021-02-04 23:48:45.562: INFO @log_variables: train gender_confidence/accuracy mean: 0.755414 2021-02-04 23:48:45.562: INFO @log_variables: train age_confidence/loss mean: 0.056288 2021-02-04 23:48:45.563: INFO @log_variables: train age_confidence/accuracy mean: 0.675454 2021-02-04 23:48:45.563: INFO @log_variables: valid loss nanmean: 1.273150 2021-02-04 23:48:45.563: INFO @log_variables: valid age_loss mean: 9.575782 2021-02-04 23:48:45.563: INFO @log_variables: valid gender_loss mean: 0.295881 2021-02-04 23:48:45.563: INFO @log_variables: valid age_mae mean: 8.977110 2021-02-04 23:48:45.563: INFO @log_variables: valid gender_accuracy mean: 0.878826 2021-02-04 23:48:45.563: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073651 2021-02-04 23:48:45.563: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830908 2021-02-04 23:48:45.563: INFO @log_variables: valid age_confidence/loss mean: 0.059991 2021-02-04 23:48:45.563: INFO @log_variables: valid age_confidence/accuracy mean: 0.652785 2021-02-04 23:48:45.563: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:48:45.565: INFO @metrics_hook: train age_mae: 9.718 +-0.161 (13807) 2021-02-04 23:48:45.566: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13807) 2021-02-04 23:48:46.958: INFO @metrics_hook: valid age_mae: 8.977 +-0.276 (3986) 2021-02-04 23:48:46.958: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-04 23:48:48.188: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:48:48.188: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.22 2021-02-04 23:48:48.189: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:48:48.189: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:48:48.269: INFO @evaluate_confidence: Previous accuracy would be: 85.74 2021-02-04 23:48:48.269: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:48:48.274: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.58, 92.02, 92.31, 92.64, 92.97, 93.29, 93.55, 93.84, 94.07, 94.25, 94.55, 94.87, 95.02, 95.29, 95.54, 95.68, 95.84, 96.09, 96.22, 96.34, 96.56] 2021-02-04 23:48:48.274: INFO @evaluate_confidence: Dropped ratios are: [26.31, 27.73, 28.97, 30.35, 31.77, 33.31, 34.53, 35.87, 37.33, 38.4, 39.64, 40.99, 42.12, 43.16, 44.51, 45.57, 46.67, 47.92, 48.97, 50.0, 51.21] 2021-02-04 23:48:48.280: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:48:48.280: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:48:48.280: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:48:48.280: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:48:48.374: INFO @evaluate_confidence: Previous accuracy would be: 39.94 2021-02-04 23:48:48.374: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:48:48.377: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.79, 53.18, 54.46, 55.65, 56.95, 58.27, 59.46, 60.6, 62.13, 63.89, 65.66, 66.84, 67.85] 2021-02-04 23:48:48.377: INFO @evaluate_confidence: Dropped ratios are: [51.96, 55.33, 58.36, 61.35, 64.16, 66.45, 68.49, 70.75, 72.59, 74.55, 76.34, 77.76, 79.12] 2021-02-04 23:48:48.379: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:48:48.379: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:48:48.379: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-04 23:48:48.379: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:48:48.447: INFO @evaluate_confidence: Previous accuracy would be: 87.88 2021-02-04 23:48:48.447: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:48:48.449: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.06, 93.26, 93.55, 93.8, 94.18, 94.31, 94.52, 94.97, 95.07, 95.26, 95.42, 95.5, 95.66, 95.85, 95.99, 96.28, 96.52, 96.58, 96.73, 96.94, 97.18, 97.21, 97.34] 2021-02-04 23:48:48.449: INFO @evaluate_confidence: Dropped ratios are: [22.33, 23.36, 24.49, 25.59, 26.77, 27.72, 29.1, 30.21, 31.33, 32.19, 33.14, 34.19, 35.27, 36.45, 37.46, 38.59, 39.41, 40.54, 41.67, 42.65, 44.03, 45.08, 46.31] 2021-02-04 23:48:48.450: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:48:48.451: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.17 2021-02-04 23:48:48.451: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:48:48.451: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-04 23:48:48.535: INFO @evaluate_confidence: Previous accuracy would be: 40.39 2021-02-04 23:48:48.535: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:48:48.536: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.37, 53.71, 54.36, 55.87, 56.98, 57.8, 59.2, 60.3, 61.75] 2021-02-04 23:48:48.536: INFO @evaluate_confidence: Dropped ratios are: [51.81, 55.67, 59.16, 62.42, 65.65, 68.31, 70.97, 73.46, 76.19] 2021-02-04 23:48:48.545: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:48:48.893: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:48.951: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:48:49.209: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:49.263: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:48:49.617: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:49.673: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:48:49.674: INFO @evaluate_gender-age_model: groups 0 7.608435 1 10.508887 2 9.743398 3 8.774741 4 9.206029 5 10.180821 6 10.704311 7 10.700323 Name: errors, dtype: float64 2021-02-04 23:48:49.675: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:48:49.917: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:48:49.969: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:48:49.969: INFO @evaluate_gender-age_model: groups 0 7.774702 1 9.240839 2 8.901926 3 8.044998 4 8.977099 5 9.777848 6 9.905118 7 8.831968 Name: errors, dtype: float64 2021-02-04 23:48:50.064: INFO @decay_lr : LR updated to `0.00014144351` 2021-02-04 23:48:50.065: INFO @log_profile : T train: 12.885844 2021-02-04 23:48:50.065: INFO @log_profile : T valid: 1.613901 2021-02-04 23:48:50.065: INFO @log_profile : T read data: 0.504968 2021-02-04 23:48:50.065: INFO @log_profile : T hooks: 5.686968 2021-02-04 23:48:50.065: INFO @main_loop : Epoch 150 done 2021-02-04 23:48:50.065: INFO @main_loop : Training epoch 151 2021-02-04 23:49:04.906: INFO @log_variables: train loss nanmean: 1.359387 2021-02-04 23:49:04.906: INFO @log_variables: train age_loss mean: 10.263048 2021-02-04 23:49:04.906: INFO @log_variables: train gender_loss mean: 0.329112 2021-02-04 23:49:04.906: INFO @log_variables: train age_mae mean: 9.661146 2021-02-04 23:49:04.906: INFO @log_variables: train gender_accuracy mean: 0.856626 2021-02-04 23:49:04.906: INFO @log_variables: train gender_confidence/loss nanmean: 0.072365 2021-02-04 23:49:04.906: INFO @log_variables: train gender_confidence/accuracy mean: 0.760706 2021-02-04 23:49:04.906: INFO @log_variables: train age_confidence/loss mean: 0.054824 2021-02-04 23:49:04.906: INFO @log_variables: train age_confidence/accuracy mean: 0.685692 2021-02-04 23:49:04.907: INFO @log_variables: valid loss nanmean: 1.275288 2021-02-04 23:49:04.907: INFO @log_variables: valid age_loss mean: 9.656212 2021-02-04 23:49:04.907: INFO @log_variables: valid gender_loss mean: 0.292258 2021-02-04 23:49:04.907: INFO @log_variables: valid age_mae mean: 9.056516 2021-02-04 23:49:04.907: INFO @log_variables: valid gender_accuracy mean: 0.877822 2021-02-04 23:49:04.907: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072055 2021-02-04 23:49:04.907: INFO @log_variables: valid gender_confidence/accuracy mean: 0.821124 2021-02-04 23:49:04.907: INFO @log_variables: valid age_confidence/loss mean: 0.059706 2021-02-04 23:49:04.907: INFO @log_variables: valid age_confidence/accuracy mean: 0.644255 2021-02-04 23:49:04.907: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:49:04.909: INFO @metrics_hook: train age_mae: 9.661 +-0.158 (13824) 2021-02-04 23:49:04.910: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13824) 2021-02-04 23:49:06.316: INFO @metrics_hook: valid age_mae: 9.057 +-0.275 (3986) 2021-02-04 23:49:06.317: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-04 23:49:07.649: INFO @decay_lr : LR updated to `0.00014073629` 2021-02-04 23:49:07.650: INFO @log_profile : T train: 12.311799 2021-02-04 23:49:07.650: INFO @log_profile : T valid: 1.516060 2021-02-04 23:49:07.650: INFO @log_profile : T read data: 0.395913 2021-02-04 23:49:07.650: INFO @log_profile : T hooks: 3.317933 2021-02-04 23:49:07.650: INFO @main_loop : Epoch 151 done 2021-02-04 23:49:07.650: INFO @main_loop : Training epoch 152 2021-02-04 23:49:22.617: INFO @log_variables: train loss nanmean: 1.361295 2021-02-04 23:49:22.617: INFO @log_variables: train age_loss mean: 10.281094 2021-02-04 23:49:22.617: INFO @log_variables: train gender_loss mean: 0.328708 2021-02-04 23:49:22.617: INFO @log_variables: train age_mae mean: 9.683136 2021-02-04 23:49:22.617: INFO @log_variables: train gender_accuracy mean: 0.859013 2021-02-04 23:49:22.617: INFO @log_variables: train gender_confidence/loss nanmean: 0.072424 2021-02-04 23:49:22.617: INFO @log_variables: train gender_confidence/accuracy mean: 0.757306 2021-02-04 23:49:22.618: INFO @log_variables: train age_confidence/loss mean: 0.055400 2021-02-04 23:49:22.618: INFO @log_variables: train age_confidence/accuracy mean: 0.679470 2021-02-04 23:49:22.618: INFO @log_variables: valid loss nanmean: 1.272676 2021-02-04 23:49:22.618: INFO @log_variables: valid age_loss mean: 9.572289 2021-02-04 23:49:22.618: INFO @log_variables: valid gender_loss mean: 0.295747 2021-02-04 23:49:22.618: INFO @log_variables: valid age_mae mean: 8.968101 2021-02-04 23:49:22.618: INFO @log_variables: valid gender_accuracy mean: 0.877321 2021-02-04 23:49:22.618: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071851 2021-02-04 23:49:22.618: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844456 2021-02-04 23:49:22.618: INFO @log_variables: valid age_confidence/loss mean: 0.061756 2021-02-04 23:49:22.618: INFO @log_variables: valid age_confidence/accuracy mean: 0.635976 2021-02-04 23:49:22.618: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:49:22.620: INFO @metrics_hook: train age_mae: 9.683 +-0.158 (13824) 2021-02-04 23:49:22.621: INFO @metrics_hook: train gender_accuracy: 0.859 +-0.006 (13824) 2021-02-04 23:49:24.084: INFO @metrics_hook: valid age_mae: 8.968 +-0.277 (3986) 2021-02-04 23:49:24.084: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-04 23:49:25.309: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:49:25.310: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:49:25.310: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:49:25.310: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:49:25.391: INFO @evaluate_confidence: Previous accuracy would be: 85.90 2021-02-04 23:49:25.392: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:49:25.396: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.79, 92.0, 92.27, 92.51, 92.72, 92.95, 93.23, 93.44, 93.71, 93.91, 94.18, 94.4, 94.62, 94.91, 95.08, 95.25, 95.49, 95.68, 95.96, 96.08, 96.29] 2021-02-04 23:49:25.396: INFO @evaluate_confidence: Dropped ratios are: [26.26, 27.65, 29.05, 30.29, 31.62, 32.88, 34.18, 35.53, 36.89, 38.08, 39.34, 40.59, 41.81, 43.05, 44.17, 45.46, 46.73, 47.87, 49.12, 50.34, 51.66] 2021-02-04 23:49:25.402: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:49:25.402: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:49:25.402: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:49:25.402: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:49:25.494: INFO @evaluate_confidence: Previous accuracy would be: 39.36 2021-02-04 23:49:25.494: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:49:25.497: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.93, 52.39, 53.92, 55.1, 56.43, 57.88, 59.37, 60.96, 62.12, 63.71, 64.73, 65.69, 66.46] 2021-02-04 23:49:25.497: INFO @evaluate_confidence: Dropped ratios are: [49.12, 52.92, 56.22, 59.37, 62.02, 64.73, 67.17, 69.35, 71.2, 73.09, 74.79, 76.39, 77.81] 2021-02-04 23:49:25.499: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:49:25.499: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-04 23:49:25.499: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-04 23:49:25.499: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.20 2021-02-04 23:49:25.566: INFO @evaluate_confidence: Previous accuracy would be: 87.73 2021-02-04 23:49:25.566: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-04 23:49:25.568: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.16, 93.45, 93.69, 94.1, 94.29, 94.62, 94.78, 94.88, 95.09, 95.22, 95.33, 95.54, 95.76, 95.84, 96.0, 96.17, 96.34, 96.47, 96.69, 97.21, 97.34, 97.32, 97.36, 97.48, 97.57] 2021-02-04 23:49:25.568: INFO @evaluate_confidence: Dropped ratios are: [20.05, 21.07, 22.13, 23.41, 24.46, 25.39, 26.47, 27.52, 28.52, 29.6, 30.76, 31.86, 33.22, 34.27, 35.32, 36.43, 37.58, 38.81, 40.14, 41.52, 42.55, 43.88, 44.88, 46.29, 47.44] 2021-02-04 23:49:25.569: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:49:25.570: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.19 2021-02-04 23:49:25.570: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:49:25.570: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.16 2021-02-04 23:49:25.654: INFO @evaluate_confidence: Previous accuracy would be: 41.47 2021-02-04 23:49:25.655: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:49:25.656: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.04, 53.31, 54.45, 56.33, 57.16, 57.86, 58.05, 59.21, 59.98, 61.41] 2021-02-04 23:49:25.656: INFO @evaluate_confidence: Dropped ratios are: [51.35, 54.87, 57.98, 61.74, 64.45, 67.44, 70.22, 72.75, 74.74, 76.47] 2021-02-04 23:49:25.665: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:49:26.008: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:49:26.064: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:49:26.304: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:49:26.446: INFO @decay_lr : LR updated to `0.0001400326` 2021-02-04 23:49:26.447: INFO @log_profile : T train: 12.439610 2021-02-04 23:49:26.447: INFO @log_profile : T valid: 1.484279 2021-02-04 23:49:26.447: INFO @log_profile : T read data: 0.399835 2021-02-04 23:49:26.447: INFO @log_profile : T hooks: 4.427657 2021-02-04 23:49:26.447: INFO @main_loop : Epoch 152 done 2021-02-04 23:49:26.447: INFO @main_loop : Training epoch 153 2021-02-04 23:49:42.130: INFO @log_variables: train loss nanmean: 1.338085 2021-02-04 23:49:42.130: INFO @log_variables: train age_loss mean: 10.140577 2021-02-04 23:49:42.130: INFO @log_variables: train gender_loss mean: 0.317449 2021-02-04 23:49:42.130: INFO @log_variables: train age_mae mean: 9.543735 2021-02-04 23:49:42.130: INFO @log_variables: train gender_accuracy mean: 0.864779 2021-02-04 23:49:42.130: INFO @log_variables: train gender_confidence/loss nanmean: 0.072123 2021-02-04 23:49:42.130: INFO @log_variables: train gender_confidence/accuracy mean: 0.772869 2021-02-04 23:49:42.130: INFO @log_variables: train age_confidence/loss mean: 0.055502 2021-02-04 23:49:42.130: INFO @log_variables: train age_confidence/accuracy mean: 0.682625 2021-02-04 23:49:42.130: INFO @log_variables: valid loss nanmean: 1.276323 2021-02-04 23:49:42.130: INFO @log_variables: valid age_loss mean: 9.678292 2021-02-04 23:49:42.130: INFO @log_variables: valid gender_loss mean: 0.292389 2021-02-04 23:49:42.130: INFO @log_variables: valid age_mae mean: 9.075145 2021-02-04 23:49:42.130: INFO @log_variables: valid gender_accuracy mean: 0.880331 2021-02-04 23:49:42.130: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071098 2021-02-04 23:49:42.131: INFO @log_variables: valid gender_confidence/accuracy mean: 0.828399 2021-02-04 23:49:42.131: INFO @log_variables: valid age_confidence/loss mean: 0.059573 2021-02-04 23:49:42.131: INFO @log_variables: valid age_confidence/accuracy mean: 0.647516 2021-02-04 23:49:42.131: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:49:42.132: INFO @metrics_hook: train age_mae: 9.544 +-0.155 (13807) 2021-02-04 23:49:42.132: INFO @metrics_hook: train gender_accuracy: 0.865 +-0.006 (13807) 2021-02-04 23:49:51.457: INFO @metrics_hook: valid age_mae: 9.075 +-0.274 (3986) 2021-02-04 23:49:51.457: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-04 23:49:52.786: INFO @decay_lr : LR updated to `0.00013933243` 2021-02-04 23:49:53.000: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:49:53.002: INFO @log_profile : T train: 12.992092 2021-02-04 23:49:53.002: INFO @log_profile : T valid: 1.545958 2021-02-04 23:49:53.002: INFO @log_profile : T read data: 0.509856 2021-02-04 23:49:53.002: INFO @log_profile : T hooks: 11.456459 2021-02-04 23:49:53.002: INFO @main_loop : Epoch 153 done 2021-02-04 23:49:53.002: INFO @main_loop : Training epoch 154 2021-02-04 23:50:08.330: INFO @log_variables: train loss nanmean: 1.362991 2021-02-04 23:50:08.330: INFO @log_variables: train age_loss mean: 10.271317 2021-02-04 23:50:08.330: INFO @log_variables: train gender_loss mean: 0.331409 2021-02-04 23:50:08.330: INFO @log_variables: train age_mae mean: 9.670880 2021-02-04 23:50:08.330: INFO @log_variables: train gender_accuracy mean: 0.856978 2021-02-04 23:50:08.330: INFO @log_variables: train gender_confidence/loss nanmean: 0.072215 2021-02-04 23:50:08.330: INFO @log_variables: train gender_confidence/accuracy mean: 0.758518 2021-02-04 23:50:08.330: INFO @log_variables: train age_confidence/loss mean: 0.055740 2021-02-04 23:50:08.330: INFO @log_variables: train age_confidence/accuracy mean: 0.676120 2021-02-04 23:50:08.330: INFO @log_variables: valid loss nanmean: 1.278572 2021-02-04 23:50:08.330: INFO @log_variables: valid age_loss mean: 9.624708 2021-02-04 23:50:08.330: INFO @log_variables: valid gender_loss mean: 0.297433 2021-02-04 23:50:08.330: INFO @log_variables: valid age_mae mean: 9.025427 2021-02-04 23:50:08.330: INFO @log_variables: valid gender_accuracy mean: 0.876568 2021-02-04 23:50:08.331: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073343 2021-02-04 23:50:08.331: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840943 2021-02-04 23:50:08.331: INFO @log_variables: valid age_confidence/loss mean: 0.059863 2021-02-04 23:50:08.331: INFO @log_variables: valid age_confidence/accuracy mean: 0.646262 2021-02-04 23:50:08.331: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:50:08.332: INFO @metrics_hook: train age_mae: 9.671 +-0.160 (13823) 2021-02-04 23:50:08.334: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13823) 2021-02-04 23:50:09.763: INFO @metrics_hook: valid age_mae: 9.025 +-0.277 (3986) 2021-02-04 23:50:09.763: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-04 23:50:11.023: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:50:11.023: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.22 2021-02-04 23:50:11.023: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:50:11.023: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:50:11.106: INFO @evaluate_confidence: Previous accuracy would be: 85.70 2021-02-04 23:50:11.107: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:50:11.111: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.52, 91.8, 92.19, 92.37, 92.64, 92.91, 93.06, 93.28, 93.52, 93.81, 94.06, 94.41, 94.68, 94.84, 95.01, 95.28, 95.44, 95.65, 95.83, 96.01, 96.17] 2021-02-04 23:50:11.111: INFO @evaluate_confidence: Dropped ratios are: [25.88, 27.24, 28.6, 29.96, 31.3, 32.63, 33.75, 35.2, 36.35, 37.6, 38.97, 40.21, 41.45, 42.48, 43.72, 44.93, 46.22, 47.41, 48.63, 49.8, 51.08] 2021-02-04 23:50:11.117: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:50:11.117: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:50:11.117: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:50:11.117: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.16 2021-02-04 23:50:11.213: INFO @evaluate_confidence: Previous accuracy would be: 39.64 2021-02-04 23:50:11.213: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:50:11.216: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.57, 52.84, 54.26, 55.41, 56.69, 58.03, 59.43, 61.19, 62.17, 63.42, 65.0, 66.21, 67.69] 2021-02-04 23:50:11.216: INFO @evaluate_confidence: Dropped ratios are: [51.41, 55.04, 58.24, 61.14, 63.8, 66.34, 68.63, 70.74, 72.75, 74.63, 76.15, 77.65, 79.2] 2021-02-04 23:50:11.218: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:50:11.218: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:50:11.218: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.16 2021-02-04 23:50:11.218: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:50:11.287: INFO @evaluate_confidence: Previous accuracy would be: 87.66 2021-02-04 23:50:11.288: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:50:11.289: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.04, 93.22, 93.57, 93.82, 94.13, 94.46, 94.62, 94.81, 94.94, 95.15, 95.48, 95.7, 95.95, 96.12, 96.28, 96.33, 96.54, 96.64, 96.87, 97.03, 97.11, 97.14, 97.17] 2021-02-04 23:50:11.289: INFO @evaluate_confidence: Dropped ratios are: [21.02, 22.25, 23.53, 24.51, 25.64, 26.59, 27.77, 28.93, 30.06, 31.18, 32.29, 33.54, 34.95, 36.0, 37.31, 38.48, 39.81, 40.97, 42.32, 43.35, 44.41, 45.53, 46.79] 2021-02-04 23:50:11.291: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:50:11.291: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:50:11.291: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-04 23:50:11.291: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:50:11.381: INFO @evaluate_confidence: Previous accuracy would be: 40.62 2021-02-04 23:50:11.381: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:50:11.382: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.64, 53.01, 54.32, 55.37, 56.53, 57.7, 58.8, 60.28, 61.37] 2021-02-04 23:50:11.382: INFO @evaluate_confidence: Dropped ratios are: [52.63, 56.7, 60.19, 63.35, 66.76, 69.69, 72.35, 74.99, 76.94] 2021-02-04 23:50:11.391: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:50:11.735: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:50:11.798: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:50:12.055: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:50:12.203: INFO @decay_lr : LR updated to `0.00013863578` 2021-02-04 23:50:12.204: INFO @log_profile : T train: 12.810184 2021-02-04 23:50:12.204: INFO @log_profile : T valid: 1.521453 2021-02-04 23:50:12.205: INFO @log_profile : T read data: 0.396924 2021-02-04 23:50:12.205: INFO @log_profile : T hooks: 4.426828 2021-02-04 23:50:12.205: INFO @main_loop : Epoch 154 done 2021-02-04 23:50:12.205: INFO @main_loop : Training epoch 155 2021-02-04 23:50:27.469: INFO @log_variables: train loss nanmean: 1.341446 2021-02-04 23:50:27.469: INFO @log_variables: train age_loss mean: 10.165251 2021-02-04 23:50:27.469: INFO @log_variables: train gender_loss mean: 0.318616 2021-02-04 23:50:27.469: INFO @log_variables: train age_mae mean: 9.567388 2021-02-04 23:50:27.469: INFO @log_variables: train gender_accuracy mean: 0.861256 2021-02-04 23:50:27.469: INFO @log_variables: train gender_confidence/loss nanmean: 0.072354 2021-02-04 23:50:27.469: INFO @log_variables: train gender_confidence/accuracy mean: 0.764902 2021-02-04 23:50:27.469: INFO @log_variables: train age_confidence/loss mean: 0.055327 2021-02-04 23:50:27.469: INFO @log_variables: train age_confidence/accuracy mean: 0.684172 2021-02-04 23:50:27.469: INFO @log_variables: valid loss nanmean: 1.301243 2021-02-04 23:50:27.469: INFO @log_variables: valid age_loss mean: 9.869171 2021-02-04 23:50:27.470: INFO @log_variables: valid gender_loss mean: 0.299930 2021-02-04 23:50:27.470: INFO @log_variables: valid age_mae mean: 9.258583 2021-02-04 23:50:27.470: INFO @log_variables: valid gender_accuracy mean: 0.871550 2021-02-04 23:50:27.470: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071465 2021-02-04 23:50:27.470: INFO @log_variables: valid gender_confidence/accuracy mean: 0.828149 2021-02-04 23:50:27.470: INFO @log_variables: valid age_confidence/loss mean: 0.059917 2021-02-04 23:50:27.470: INFO @log_variables: valid age_confidence/accuracy mean: 0.655043 2021-02-04 23:50:27.470: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:50:27.471: INFO @metrics_hook: train age_mae: 9.567 +-0.160 (13824) 2021-02-04 23:50:27.471: INFO @metrics_hook: train gender_accuracy: 0.861 +-0.006 (13824) 2021-02-04 23:50:28.880: INFO @metrics_hook: valid age_mae: 9.259 +-0.284 (3986) 2021-02-04 23:50:28.880: INFO @metrics_hook: valid gender_accuracy: 0.872 +-0.011 (3986) 2021-02-04 23:50:30.256: INFO @decay_lr : LR updated to `0.0001379426` 2021-02-04 23:50:30.257: INFO @log_profile : T train: 12.713469 2021-02-04 23:50:30.257: INFO @log_profile : T valid: 1.552714 2021-02-04 23:50:30.257: INFO @log_profile : T read data: 0.389429 2021-02-04 23:50:30.257: INFO @log_profile : T hooks: 3.354251 2021-02-04 23:50:30.257: INFO @main_loop : Epoch 155 done 2021-02-04 23:50:30.257: INFO @main_loop : Training epoch 156 2021-02-04 23:50:45.006: INFO @log_variables: train loss nanmean: 1.345739 2021-02-04 23:50:45.006: INFO @log_variables: train age_loss mean: 10.202531 2021-02-04 23:50:45.006: INFO @log_variables: train gender_loss mean: 0.320151 2021-02-04 23:50:45.006: INFO @log_variables: train age_mae mean: 9.608500 2021-02-04 23:50:45.006: INFO @log_variables: train gender_accuracy mean: 0.862244 2021-02-04 23:50:45.006: INFO @log_variables: train gender_confidence/loss nanmean: 0.071788 2021-02-04 23:50:45.006: INFO @log_variables: train gender_confidence/accuracy mean: 0.763453 2021-02-04 23:50:45.006: INFO @log_variables: train age_confidence/loss mean: 0.055401 2021-02-04 23:50:45.006: INFO @log_variables: train age_confidence/accuracy mean: 0.680669 2021-02-04 23:50:45.006: INFO @log_variables: valid loss nanmean: 1.283986 2021-02-04 23:50:45.006: INFO @log_variables: valid age_loss mean: 9.735042 2021-02-04 23:50:45.006: INFO @log_variables: valid gender_loss mean: 0.295189 2021-02-04 23:50:45.006: INFO @log_variables: valid age_mae mean: 9.132136 2021-02-04 23:50:45.007: INFO @log_variables: valid gender_accuracy mean: 0.874310 2021-02-04 23:50:45.007: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070812 2021-02-04 23:50:45.007: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830908 2021-02-04 23:50:45.007: INFO @log_variables: valid age_confidence/loss mean: 0.059818 2021-02-04 23:50:45.007: INFO @log_variables: valid age_confidence/accuracy mean: 0.646262 2021-02-04 23:50:45.007: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:50:45.009: INFO @metrics_hook: train age_mae: 9.609 +-0.161 (13807) 2021-02-04 23:50:45.011: INFO @metrics_hook: train gender_accuracy: 0.862 +-0.006 (13807) 2021-02-04 23:50:46.422: INFO @metrics_hook: valid age_mae: 9.132 +-0.282 (3986) 2021-02-04 23:50:46.423: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-04 23:50:47.652: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:50:47.653: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.21 2021-02-04 23:50:47.653: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:50:47.653: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:50:47.732: INFO @evaluate_confidence: Previous accuracy would be: 86.22 2021-02-04 23:50:47.732: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:50:47.737: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.25, 92.4, 92.58, 92.88, 93.15, 93.43, 93.67, 93.94, 94.15, 94.43, 94.69, 94.99, 95.24, 95.34, 95.56, 95.7, 95.84, 95.99, 96.09, 96.2, 96.32, 96.47, 96.71] 2021-02-04 23:50:47.737: INFO @evaluate_confidence: Dropped ratios are: [25.96, 27.07, 28.25, 29.62, 30.86, 32.08, 33.32, 34.55, 35.71, 37.02, 38.08, 39.23, 40.49, 41.59, 42.95, 43.93, 45.19, 46.39, 47.61, 48.88, 50.08, 51.34, 52.44] 2021-02-04 23:50:47.743: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:50:47.743: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.21 2021-02-04 23:50:47.743: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:50:47.743: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.17 2021-02-04 23:50:47.835: INFO @evaluate_confidence: Previous accuracy would be: 39.71 2021-02-04 23:50:47.835: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:50:47.839: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.51, 52.79, 54.18, 55.7, 56.98, 58.4, 59.86, 61.19, 62.75, 64.3, 65.38, 66.4, 67.48] 2021-02-04 23:50:47.839: INFO @evaluate_confidence: Dropped ratios are: [49.72, 53.24, 56.45, 59.21, 62.27, 64.78, 67.1, 69.12, 71.05, 73.06, 74.71, 76.27, 77.75] 2021-02-04 23:50:47.840: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:50:47.840: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-04 23:50:47.840: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:50:47.840: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-04 23:50:47.911: INFO @evaluate_confidence: Previous accuracy would be: 87.43 2021-02-04 23:50:47.911: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:50:47.913: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.76, 93.06, 93.3, 93.57, 93.59, 93.82, 94.18, 94.31, 94.62, 94.84, 94.89, 95.04, 95.26, 95.46, 95.77, 95.93, 95.88, 96.18, 96.19, 96.44, 96.67, 96.87, 97.12, 97.32, 97.32] 2021-02-04 23:50:47.913: INFO @evaluate_confidence: Dropped ratios are: [21.0, 22.25, 23.26, 24.26, 25.29, 26.14, 27.15, 28.12, 29.1, 30.03, 30.83, 31.71, 32.84, 33.64, 34.75, 35.88, 36.68, 37.68, 38.69, 40.12, 41.22, 42.32, 43.38, 44.68, 45.66] 2021-02-04 23:50:47.915: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:50:47.915: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:50:47.915: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-04 23:50:47.915: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:50:47.997: INFO @evaluate_confidence: Previous accuracy would be: 40.34 2021-02-04 23:50:47.997: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:50:47.998: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.41, 51.61, 52.52, 53.7, 54.85, 56.17, 57.09, 58.57, 60.08] 2021-02-04 23:50:47.998: INFO @evaluate_confidence: Dropped ratios are: [51.08, 54.89, 58.25, 61.64, 64.6, 67.66, 70.3, 72.93, 75.36] 2021-02-04 23:50:48.008: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:50:48.354: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:50:48.418: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:50:48.678: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:50:48.827: INFO @decay_lr : LR updated to `0.00013725288` 2021-02-04 23:50:48.828: INFO @log_profile : T train: 12.306190 2021-02-04 23:50:48.828: INFO @log_profile : T valid: 1.321536 2021-02-04 23:50:48.828: INFO @log_profile : T read data: 0.506924 2021-02-04 23:50:48.828: INFO @log_profile : T hooks: 4.390538 2021-02-04 23:50:48.828: INFO @main_loop : Epoch 156 done 2021-02-04 23:50:48.828: INFO @main_loop : Training epoch 157 2021-02-04 23:51:04.287: INFO @log_variables: train loss nanmean: 1.349015 2021-02-04 23:51:04.287: INFO @log_variables: train age_loss mean: 10.222267 2021-02-04 23:51:04.287: INFO @log_variables: train gender_loss mean: 0.321579 2021-02-04 23:51:04.288: INFO @log_variables: train age_mae mean: 9.624750 2021-02-04 23:51:04.288: INFO @log_variables: train gender_accuracy mean: 0.862486 2021-02-04 23:51:04.288: INFO @log_variables: train gender_confidence/loss nanmean: 0.071765 2021-02-04 23:51:04.288: INFO @log_variables: train gender_confidence/accuracy mean: 0.763166 2021-02-04 23:51:04.288: INFO @log_variables: train age_confidence/loss mean: 0.055608 2021-02-04 23:51:04.288: INFO @log_variables: train age_confidence/accuracy mean: 0.683955 2021-02-04 23:51:04.288: INFO @log_variables: valid loss nanmean: 1.251885 2021-02-04 23:51:04.288: INFO @log_variables: valid age_loss mean: 9.475786 2021-02-04 23:51:04.288: INFO @log_variables: valid gender_loss mean: 0.287258 2021-02-04 23:51:04.288: INFO @log_variables: valid age_mae mean: 8.876276 2021-02-04 23:51:04.288: INFO @log_variables: valid gender_accuracy mean: 0.873808 2021-02-04 23:51:04.288: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069748 2021-02-04 23:51:04.288: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826894 2021-02-04 23:51:04.288: INFO @log_variables: valid age_confidence/loss mean: 0.059558 2021-02-04 23:51:04.288: INFO @log_variables: valid age_confidence/accuracy mean: 0.644004 2021-02-04 23:51:04.288: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:51:04.290: INFO @metrics_hook: train age_mae: 9.625 +-0.158 (13824) 2021-02-04 23:51:04.292: INFO @metrics_hook: train gender_accuracy: 0.862 +-0.006 (13824) 2021-02-04 23:51:05.682: INFO @metrics_hook: valid age_mae: 8.876 +-0.271 (3986) 2021-02-04 23:51:05.682: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-04 23:51:06.992: INFO @decay_lr : LR updated to `0.00013656661` 2021-02-04 23:51:06.993: INFO @log_profile : T train: 12.801053 2021-02-04 23:51:06.993: INFO @log_profile : T valid: 1.635529 2021-02-04 23:51:06.993: INFO @log_profile : T read data: 0.388671 2021-02-04 23:51:06.993: INFO @log_profile : T hooks: 3.292599 2021-02-04 23:51:06.993: INFO @main_loop : Epoch 157 done 2021-02-04 23:51:06.993: INFO @main_loop : Training epoch 158 2021-02-04 23:51:22.758: INFO @log_variables: train loss nanmean: 1.327279 2021-02-04 23:51:22.759: INFO @log_variables: train age_loss mean: 10.032853 2021-02-04 23:51:22.759: INFO @log_variables: train gender_loss mean: 0.316472 2021-02-04 23:51:22.759: INFO @log_variables: train age_mae mean: 9.438802 2021-02-04 23:51:22.759: INFO @log_variables: train gender_accuracy mean: 0.863137 2021-02-04 23:51:22.759: INFO @log_variables: train gender_confidence/loss nanmean: 0.071822 2021-02-04 23:51:22.759: INFO @log_variables: train gender_confidence/accuracy mean: 0.767433 2021-02-04 23:51:22.759: INFO @log_variables: train age_confidence/loss mean: 0.055679 2021-02-04 23:51:22.759: INFO @log_variables: train age_confidence/accuracy mean: 0.684245 2021-02-04 23:51:22.759: INFO @log_variables: valid loss nanmean: 1.272034 2021-02-04 23:51:22.759: INFO @log_variables: valid age_loss mean: 9.608138 2021-02-04 23:51:22.759: INFO @log_variables: valid gender_loss mean: 0.296047 2021-02-04 23:51:22.759: INFO @log_variables: valid age_mae mean: 9.004237 2021-02-04 23:51:22.759: INFO @log_variables: valid gender_accuracy mean: 0.872805 2021-02-04 23:51:22.759: INFO @log_variables: valid gender_confidence/loss nanmean: 0.068456 2021-02-04 23:51:22.759: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822127 2021-02-04 23:51:22.759: INFO @log_variables: valid age_confidence/loss mean: 0.060977 2021-02-04 23:51:22.759: INFO @log_variables: valid age_confidence/accuracy mean: 0.639739 2021-02-04 23:51:22.759: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:51:22.761: INFO @metrics_hook: train age_mae: 9.439 +-0.155 (13824) 2021-02-04 23:51:22.762: INFO @metrics_hook: train gender_accuracy: 0.863 +-0.006 (13824) 2021-02-04 23:51:24.219: INFO @metrics_hook: valid age_mae: 9.004 +-0.279 (3986) 2021-02-04 23:51:24.219: INFO @metrics_hook: valid gender_accuracy: 0.873 +-0.011 (3986) 2021-02-04 23:51:25.527: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:51:25.527: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:51:25.527: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:51:25.527: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:51:25.608: INFO @evaluate_confidence: Previous accuracy would be: 86.31 2021-02-04 23:51:25.608: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:51:25.613: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.48, 92.7, 92.92, 93.04, 93.3, 93.5, 93.64, 93.91, 94.05, 94.29, 94.44, 94.62, 94.8, 95.07, 95.26, 95.51, 95.71, 95.83, 96.01, 96.15, 96.28, 96.43, 96.54] 2021-02-04 23:51:25.613: INFO @evaluate_confidence: Dropped ratios are: [25.79, 26.88, 28.01, 29.22, 30.5, 31.91, 33.07, 34.4, 35.66, 36.79, 38.04, 39.23, 40.36, 41.7, 42.91, 44.1, 45.41, 46.61, 47.83, 48.95, 50.24, 51.37, 52.36] 2021-02-04 23:51:25.619: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:51:25.619: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:51:25.619: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:51:25.619: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:51:25.713: INFO @evaluate_confidence: Previous accuracy would be: 40.13 2021-02-04 23:51:25.713: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:51:25.716: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.32, 53.8, 55.2, 56.53, 57.86, 59.3, 60.49, 61.92, 63.37, 64.83, 66.9, 68.24, 69.36] 2021-02-04 23:51:25.716: INFO @evaluate_confidence: Dropped ratios are: [51.37, 54.74, 58.04, 61.01, 63.32, 65.66, 67.77, 69.63, 71.64, 73.55, 75.24, 76.56, 77.92] 2021-02-04 23:51:25.718: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:51:25.718: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:51:25.718: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.53 +- 0.17 2021-02-04 23:51:25.718: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.22 2021-02-04 23:51:25.785: INFO @evaluate_confidence: Previous accuracy would be: 87.28 2021-02-04 23:51:25.785: INFO @evaluate_confidence: Possible optimal thresholds are: [0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:51:25.787: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.91, 93.13, 93.42, 93.73, 93.98, 94.15, 94.32, 94.53, 94.63, 94.83, 95.06, 95.31, 95.71, 96.06, 96.27, 96.37, 96.58, 96.62, 96.78, 96.97, 97.26, 97.36, 97.48, 97.58, 97.68] 2021-02-04 23:51:25.787: INFO @evaluate_confidence: Dropped ratios are: [20.7, 21.88, 22.93, 23.98, 25.39, 26.27, 27.07, 28.45, 29.43, 30.58, 31.49, 32.64, 33.87, 35.02, 36.08, 37.13, 38.33, 39.09, 40.07, 41.24, 42.27, 43.05, 44.15, 45.13, 46.04] 2021-02-04 23:51:25.789: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:51:25.789: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.19 2021-02-04 23:51:25.789: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:51:25.789: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:51:25.873: INFO @evaluate_confidence: Previous accuracy would be: 41.04 2021-02-04 23:51:25.873: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:51:25.874: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.57, 53.84, 54.8, 55.7, 56.74, 57.96, 58.77, 59.28, 60.83] 2021-02-04 23:51:25.874: INFO @evaluate_confidence: Dropped ratios are: [56.1, 59.51, 62.92, 66.31, 69.84, 72.43, 74.39, 76.34, 78.22] 2021-02-04 23:51:25.884: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:51:26.234: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:51:26.294: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:51:26.540: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:51:26.686: INFO @decay_lr : LR updated to `0.00013588378` 2021-02-04 23:51:26.687: INFO @log_profile : T train: 13.063118 2021-02-04 23:51:26.687: INFO @log_profile : T valid: 1.643124 2021-02-04 23:51:26.687: INFO @log_profile : T read data: 0.403150 2021-02-04 23:51:26.687: INFO @log_profile : T hooks: 4.535919 2021-02-04 23:51:26.687: INFO @main_loop : Epoch 158 done 2021-02-04 23:51:26.687: INFO @main_loop : Training epoch 159 2021-02-04 23:51:42.401: INFO @log_variables: train loss nanmean: 1.350685 2021-02-04 23:51:42.401: INFO @log_variables: train age_loss mean: 10.162125 2021-02-04 23:51:42.401: INFO @log_variables: train gender_loss mean: 0.329256 2021-02-04 23:51:42.401: INFO @log_variables: train age_mae mean: 9.563657 2021-02-04 23:51:42.401: INFO @log_variables: train gender_accuracy mean: 0.857102 2021-02-04 23:51:42.401: INFO @log_variables: train gender_confidence/loss nanmean: 0.071621 2021-02-04 23:51:42.402: INFO @log_variables: train gender_confidence/accuracy mean: 0.758239 2021-02-04 23:51:42.402: INFO @log_variables: train age_confidence/loss mean: 0.055911 2021-02-04 23:51:42.402: INFO @log_variables: train age_confidence/accuracy mean: 0.680669 2021-02-04 23:51:42.402: INFO @log_variables: valid loss nanmean: 1.278734 2021-02-04 23:51:42.402: INFO @log_variables: valid age_loss mean: 9.726268 2021-02-04 23:51:42.402: INFO @log_variables: valid gender_loss mean: 0.290406 2021-02-04 23:51:42.402: INFO @log_variables: valid age_mae mean: 9.126443 2021-02-04 23:51:42.402: INFO @log_variables: valid gender_accuracy mean: 0.876066 2021-02-04 23:51:42.402: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070871 2021-02-04 23:51:42.402: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830908 2021-02-04 23:51:42.402: INFO @log_variables: valid age_confidence/loss mean: 0.059651 2021-02-04 23:51:42.402: INFO @log_variables: valid age_confidence/accuracy mean: 0.645008 2021-02-04 23:51:42.402: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:51:42.403: INFO @metrics_hook: train age_mae: 9.564 +-0.158 (13807) 2021-02-04 23:51:42.405: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13807) 2021-02-04 23:51:43.828: INFO @metrics_hook: valid age_mae: 9.126 +-0.270 (3986) 2021-02-04 23:51:43.828: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:51:45.171: INFO @decay_lr : LR updated to `0.00013520436` 2021-02-04 23:51:45.172: INFO @log_profile : T train: 12.998288 2021-02-04 23:51:45.172: INFO @log_profile : T valid: 1.593572 2021-02-04 23:51:45.172: INFO @log_profile : T read data: 0.513223 2021-02-04 23:51:45.172: INFO @log_profile : T hooks: 3.332241 2021-02-04 23:51:45.172: INFO @main_loop : Epoch 159 done 2021-02-04 23:51:45.172: INFO @main_loop : Training epoch 160 2021-02-04 23:52:01.238: INFO @log_variables: train loss nanmean: 1.352046 2021-02-04 23:52:01.238: INFO @log_variables: train age_loss mean: 10.160174 2021-02-04 23:52:01.238: INFO @log_variables: train gender_loss mean: 0.328843 2021-02-04 23:52:01.238: INFO @log_variables: train age_mae mean: 9.565812 2021-02-04 23:52:01.238: INFO @log_variables: train gender_accuracy mean: 0.858941 2021-02-04 23:52:01.238: INFO @log_variables: train gender_confidence/loss nanmean: 0.073716 2021-02-04 23:52:01.238: INFO @log_variables: train gender_confidence/accuracy mean: 0.757451 2021-02-04 23:52:01.238: INFO @log_variables: train age_confidence/loss mean: 0.055730 2021-02-04 23:52:01.238: INFO @log_variables: train age_confidence/accuracy mean: 0.682002 2021-02-04 23:52:01.238: INFO @log_variables: valid loss nanmean: 1.273561 2021-02-04 23:52:01.238: INFO @log_variables: valid age_loss mean: 9.654838 2021-02-04 23:52:01.238: INFO @log_variables: valid gender_loss mean: 0.287613 2021-02-04 23:52:01.238: INFO @log_variables: valid age_mae mean: 9.055189 2021-02-04 23:52:01.238: INFO @log_variables: valid gender_accuracy mean: 0.881586 2021-02-04 23:52:01.238: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072342 2021-02-04 23:52:01.238: INFO @log_variables: valid gender_confidence/accuracy mean: 0.829403 2021-02-04 23:52:01.239: INFO @log_variables: valid age_confidence/loss mean: 0.062039 2021-02-04 23:52:01.239: INFO @log_variables: valid age_confidence/accuracy mean: 0.618665 2021-02-04 23:52:01.239: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:52:01.240: INFO @metrics_hook: train age_mae: 9.566 +-0.160 (13824) 2021-02-04 23:52:01.242: INFO @metrics_hook: train gender_accuracy: 0.859 +-0.006 (13824) 2021-02-04 23:52:02.660: INFO @metrics_hook: valid age_mae: 9.055 +-0.280 (3986) 2021-02-04 23:52:02.660: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-04 23:52:03.960: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:52:03.960: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:52:03.961: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:52:03.961: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:52:04.044: INFO @evaluate_confidence: Previous accuracy would be: 85.89 2021-02-04 23:52:04.044: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:52:04.048: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.47, 91.73, 91.93, 92.18, 92.49, 92.7, 92.98, 93.32, 93.55, 93.88, 94.04, 94.28, 94.53, 94.77, 94.94, 95.19, 95.37, 95.54, 95.78, 96.02, 96.18] 2021-02-04 23:52:04.049: INFO @evaluate_confidence: Dropped ratios are: [25.69, 27.18, 28.43, 29.74, 31.16, 32.56, 34.01, 35.23, 36.55, 37.81, 39.19, 40.39, 41.68, 42.86, 43.94, 45.08, 46.38, 47.58, 48.73, 49.99, 51.18] 2021-02-04 23:52:04.054: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:52:04.054: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.22 2021-02-04 23:52:04.055: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:52:04.055: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:52:04.148: INFO @evaluate_confidence: Previous accuracy would be: 40.17 2021-02-04 23:52:04.149: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:52:04.152: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.65, 54.81, 56.08, 57.34, 58.41, 59.69, 61.01, 62.78, 64.34, 65.59, 67.21, 68.35, 69.38] 2021-02-04 23:52:04.152: INFO @evaluate_confidence: Dropped ratios are: [52.62, 55.95, 58.81, 61.51, 64.0, 66.39, 68.55, 70.8, 72.68, 74.33, 75.93, 77.19, 78.57] 2021-02-04 23:52:04.153: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:52:04.154: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:52:04.154: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.16 2021-02-04 23:52:04.154: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:52:04.225: INFO @evaluate_confidence: Previous accuracy would be: 88.16 2021-02-04 23:52:04.225: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:52:04.227: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.11, 93.27, 93.62, 93.97, 94.23, 94.59, 94.89, 95.1, 95.33, 95.58, 95.7, 96.0, 96.23, 96.34, 96.56, 96.72, 97.06, 97.26, 97.38, 97.48, 97.56, 97.65, 97.7] 2021-02-04 23:52:04.227: INFO @evaluate_confidence: Dropped ratios are: [21.4, 22.45, 23.68, 24.71, 25.59, 26.69, 27.9, 29.38, 30.73, 31.94, 32.92, 34.12, 35.45, 36.25, 37.26, 38.01, 39.36, 40.39, 41.52, 43.18, 44.43, 45.66, 46.64] 2021-02-04 23:52:04.229: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:52:04.229: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.19 2021-02-04 23:52:04.229: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-04 23:52:04.229: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.16 2021-02-04 23:52:04.313: INFO @evaluate_confidence: Previous accuracy would be: 41.52 2021-02-04 23:52:04.314: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:52:04.315: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [51.71, 52.82, 53.12, 53.69, 54.96, 55.67, 55.45, 56.47] 2021-02-04 23:52:04.315: INFO @evaluate_confidence: Dropped ratios are: [55.22, 59.01, 62.17, 65.0, 68.14, 70.35, 72.85, 74.99] 2021-02-04 23:52:04.324: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:52:04.676: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:04.732: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:52:04.983: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:05.037: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:52:05.423: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:05.486: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:52:05.488: INFO @evaluate_gender-age_model: groups 0 6.941420 1 10.512721 2 9.634730 3 8.430233 4 9.159155 5 10.330973 6 11.199188 7 10.198611 Name: errors, dtype: float64 2021-02-04 23:52:05.489: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:52:05.795: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:05.854: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:52:05.855: INFO @evaluate_gender-age_model: groups 0 6.267395 1 8.885948 2 8.706888 3 8.212748 4 9.588527 5 10.218558 6 10.535075 7 8.039754 Name: errors, dtype: float64 2021-02-04 23:52:05.977: INFO @decay_lr : LR updated to `0.00013452834` 2021-02-04 23:52:06.188: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:52:06.190: INFO @log_profile : T train: 12.945085 2021-02-04 23:52:06.190: INFO @log_profile : T valid: 1.547358 2021-02-04 23:52:06.190: INFO @log_profile : T read data: 0.397396 2021-02-04 23:52:06.190: INFO @log_profile : T hooks: 6.079908 2021-02-04 23:52:06.190: INFO @main_loop : Epoch 160 done 2021-02-04 23:52:06.190: INFO @main_loop : Training epoch 161 2021-02-04 23:52:21.672: INFO @log_variables: train loss nanmean: 1.349515 2021-02-04 23:52:21.673: INFO @log_variables: train age_loss mean: 10.225441 2021-02-04 23:52:21.673: INFO @log_variables: train gender_loss mean: 0.322851 2021-02-04 23:52:21.673: INFO @log_variables: train age_mae mean: 9.626953 2021-02-04 23:52:21.673: INFO @log_variables: train gender_accuracy mean: 0.857567 2021-02-04 23:52:21.673: INFO @log_variables: train gender_confidence/loss nanmean: 0.071190 2021-02-04 23:52:21.673: INFO @log_variables: train gender_confidence/accuracy mean: 0.763961 2021-02-04 23:52:21.673: INFO @log_variables: train age_confidence/loss mean: 0.055238 2021-02-04 23:52:21.673: INFO @log_variables: train age_confidence/accuracy mean: 0.685547 2021-02-04 23:52:21.673: INFO @log_variables: valid loss nanmean: 1.277372 2021-02-04 23:52:21.673: INFO @log_variables: valid age_loss mean: 9.670260 2021-02-04 23:52:21.673: INFO @log_variables: valid gender_loss mean: 0.294253 2021-02-04 23:52:21.673: INFO @log_variables: valid age_mae mean: 9.066467 2021-02-04 23:52:21.673: INFO @log_variables: valid gender_accuracy mean: 0.870296 2021-02-04 23:52:21.673: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069698 2021-02-04 23:52:21.673: INFO @log_variables: valid gender_confidence/accuracy mean: 0.821375 2021-02-04 23:52:21.673: INFO @log_variables: valid age_confidence/loss mean: 0.061056 2021-02-04 23:52:21.673: INFO @log_variables: valid age_confidence/accuracy mean: 0.641244 2021-02-04 23:52:21.674: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:52:21.675: INFO @metrics_hook: train age_mae: 9.627 +-0.158 (13824) 2021-02-04 23:52:21.677: INFO @metrics_hook: train gender_accuracy: 0.858 +-0.006 (13824) 2021-02-04 23:52:23.136: INFO @metrics_hook: valid age_mae: 9.066 +-0.280 (3986) 2021-02-04 23:52:23.136: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-04 23:52:24.490: INFO @decay_lr : LR updated to `0.00013385569` 2021-02-04 23:52:24.491: INFO @log_profile : T train: 12.860825 2021-02-04 23:52:24.491: INFO @log_profile : T valid: 1.601036 2021-02-04 23:52:24.491: INFO @log_profile : T read data: 0.393016 2021-02-04 23:52:24.491: INFO @log_profile : T hooks: 3.398895 2021-02-04 23:52:24.491: INFO @main_loop : Epoch 161 done 2021-02-04 23:52:24.491: INFO @main_loop : Training epoch 162 2021-02-04 23:52:40.313: INFO @log_variables: train loss nanmean: 1.331875 2021-02-04 23:52:40.313: INFO @log_variables: train age_loss mean: 10.008021 2021-02-04 23:52:40.313: INFO @log_variables: train gender_loss mean: 0.323988 2021-02-04 23:52:40.314: INFO @log_variables: train age_mae mean: 9.416939 2021-02-04 23:52:40.314: INFO @log_variables: train gender_accuracy mean: 0.858333 2021-02-04 23:52:40.314: INFO @log_variables: train gender_confidence/loss nanmean: 0.071089 2021-02-04 23:52:40.314: INFO @log_variables: train gender_confidence/accuracy mean: 0.763888 2021-02-04 23:52:40.314: INFO @log_variables: train age_confidence/loss mean: 0.056431 2021-02-04 23:52:40.314: INFO @log_variables: train age_confidence/accuracy mean: 0.671833 2021-02-04 23:52:40.314: INFO @log_variables: valid loss nanmean: 1.257695 2021-02-04 23:52:40.314: INFO @log_variables: valid age_loss mean: 9.474302 2021-02-04 23:52:40.314: INFO @log_variables: valid gender_loss mean: 0.289810 2021-02-04 23:52:40.314: INFO @log_variables: valid age_mae mean: 8.876595 2021-02-04 23:52:40.314: INFO @log_variables: valid gender_accuracy mean: 0.880582 2021-02-04 23:52:40.314: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072561 2021-02-04 23:52:40.314: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822378 2021-02-04 23:52:40.314: INFO @log_variables: valid age_confidence/loss mean: 0.060370 2021-02-04 23:52:40.314: INFO @log_variables: valid age_confidence/accuracy mean: 0.639488 2021-02-04 23:52:40.314: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:52:40.316: INFO @metrics_hook: train age_mae: 9.417 +-0.157 (13807) 2021-02-04 23:52:40.318: INFO @metrics_hook: train gender_accuracy: 0.858 +-0.006 (13807) 2021-02-04 23:52:41.710: INFO @metrics_hook: valid age_mae: 8.877 +-0.272 (3986) 2021-02-04 23:52:41.710: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-04 23:52:42.926: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:52:42.926: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.21 2021-02-04 23:52:42.926: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-04 23:52:42.927: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:52:43.011: INFO @evaluate_confidence: Previous accuracy would be: 85.83 2021-02-04 23:52:43.011: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:52:43.016: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.97, 92.2, 92.37, 92.66, 92.87, 93.18, 93.24, 93.63, 93.83, 94.11, 94.28, 94.4, 94.71, 94.91, 95.06, 95.29, 95.41, 95.54, 95.72, 95.9, 96.03, 96.15] 2021-02-04 23:52:43.016: INFO @evaluate_confidence: Dropped ratios are: [24.97, 26.28, 27.57, 28.91, 30.0, 31.19, 32.68, 33.99, 35.11, 36.2, 37.34, 38.53, 39.89, 41.08, 42.19, 43.36, 44.46, 45.57, 46.8, 47.9, 49.23, 50.49] 2021-02-04 23:52:43.022: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:52:43.022: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:52:43.022: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:52:43.022: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:52:43.109: INFO @evaluate_confidence: Previous accuracy would be: 40.87 2021-02-04 23:52:43.109: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:52:43.112: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.09, 54.42, 55.56, 56.63, 57.95, 59.24, 60.58, 61.91, 63.24, 64.15, 65.27, 66.24, 67.67] 2021-02-04 23:52:43.112: INFO @evaluate_confidence: Dropped ratios are: [49.32, 52.85, 55.94, 58.73, 61.52, 64.02, 66.47, 68.49, 70.43, 72.08, 73.62, 75.22, 76.66] 2021-02-04 23:52:43.114: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:52:43.114: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:52:43.114: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:52:43.114: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-04 23:52:43.179: INFO @evaluate_confidence: Previous accuracy would be: 88.06 2021-02-04 23:52:43.180: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:52:43.181: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.71, 93.91, 94.03, 94.39, 94.63, 94.8, 95.05, 95.17, 95.27, 95.56, 95.72, 95.96, 96.06, 96.23, 96.5, 96.85, 96.96, 97.08, 97.18, 97.26, 97.41, 97.4] 2021-02-04 23:52:43.181: INFO @evaluate_confidence: Dropped ratios are: [21.93, 22.68, 23.81, 24.81, 25.82, 27.15, 28.17, 29.08, 29.93, 31.01, 32.21, 33.14, 34.12, 35.07, 36.18, 37.61, 38.64, 39.84, 40.79, 42.17, 43.25, 44.71, 46.04] 2021-02-04 23:52:43.183: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:52:43.183: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:52:43.183: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:52:43.183: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:52:43.276: INFO @evaluate_confidence: Previous accuracy would be: 41.50 2021-02-04 23:52:43.276: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:52:43.277: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.14, 54.43, 55.12, 56.37, 57.19, 58.18, 59.07, 59.96, 60.86, 62.23] 2021-02-04 23:52:43.277: INFO @evaluate_confidence: Dropped ratios are: [50.85, 54.74, 58.86, 62.22, 65.13, 67.96, 70.82, 73.43, 75.51, 77.75] 2021-02-04 23:52:43.286: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:52:43.628: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:43.687: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:52:43.947: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:52:44.095: INFO @decay_lr : LR updated to `0.00013318642` 2021-02-04 23:52:44.096: INFO @log_profile : T train: 13.025049 2021-02-04 23:52:44.096: INFO @log_profile : T valid: 1.632451 2021-02-04 23:52:44.096: INFO @log_profile : T read data: 0.514683 2021-02-04 23:52:44.096: INFO @log_profile : T hooks: 4.383295 2021-02-04 23:52:44.096: INFO @main_loop : Epoch 162 done 2021-02-04 23:52:44.096: INFO @main_loop : Training epoch 163 2021-02-04 23:52:59.595: INFO @log_variables: train loss nanmean: 1.333114 2021-02-04 23:52:59.596: INFO @log_variables: train age_loss mean: 10.045317 2021-02-04 23:52:59.596: INFO @log_variables: train gender_loss mean: 0.321504 2021-02-04 23:52:59.596: INFO @log_variables: train age_mae mean: 9.452491 2021-02-04 23:52:59.596: INFO @log_variables: train gender_accuracy mean: 0.858652 2021-02-04 23:52:59.596: INFO @log_variables: train gender_confidence/loss nanmean: 0.071652 2021-02-04 23:52:59.596: INFO @log_variables: train gender_confidence/accuracy mean: 0.764034 2021-02-04 23:52:59.596: INFO @log_variables: train age_confidence/loss mean: 0.055975 2021-02-04 23:52:59.596: INFO @log_variables: train age_confidence/accuracy mean: 0.676505 2021-02-04 23:52:59.596: INFO @log_variables: valid loss nanmean: 1.256519 2021-02-04 23:52:59.596: INFO @log_variables: valid age_loss mean: 9.427061 2021-02-04 23:52:59.596: INFO @log_variables: valid gender_loss mean: 0.296184 2021-02-04 23:52:59.596: INFO @log_variables: valid age_mae mean: 8.828966 2021-02-04 23:52:59.596: INFO @log_variables: valid gender_accuracy mean: 0.875314 2021-02-04 23:52:59.596: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069776 2021-02-04 23:52:59.596: INFO @log_variables: valid gender_confidence/accuracy mean: 0.820873 2021-02-04 23:52:59.596: INFO @log_variables: valid age_confidence/loss mean: 0.060480 2021-02-04 23:52:59.596: INFO @log_variables: valid age_confidence/accuracy mean: 0.639990 2021-02-04 23:52:59.596: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:52:59.598: INFO @metrics_hook: train age_mae: 9.452 +-0.156 (13824) 2021-02-04 23:52:59.600: INFO @metrics_hook: train gender_accuracy: 0.859 +-0.006 (13824) 2021-02-04 23:53:01.032: INFO @metrics_hook: valid age_mae: 8.829 +-0.271 (3986) 2021-02-04 23:53:01.033: INFO @metrics_hook: valid gender_accuracy: 0.875 +-0.010 (3986) 2021-02-04 23:53:02.365: INFO @decay_lr : LR updated to `0.00013252048` 2021-02-04 23:53:02.366: INFO @log_profile : T train: 12.931870 2021-02-04 23:53:02.366: INFO @log_profile : T valid: 1.528774 2021-02-04 23:53:02.366: INFO @log_profile : T read data: 0.394888 2021-02-04 23:53:02.366: INFO @log_profile : T hooks: 3.365060 2021-02-04 23:53:02.366: INFO @main_loop : Epoch 163 done 2021-02-04 23:53:02.366: INFO @main_loop : Training epoch 164 2021-02-04 23:53:17.222: INFO @log_variables: train loss nanmean: 1.336550 2021-02-04 23:53:17.222: INFO @log_variables: train age_loss mean: 10.110188 2021-02-04 23:53:17.222: INFO @log_variables: train gender_loss mean: 0.319919 2021-02-04 23:53:17.222: INFO @log_variables: train age_mae mean: 9.515706 2021-02-04 23:53:17.222: INFO @log_variables: train gender_accuracy mean: 0.858435 2021-02-04 23:53:17.222: INFO @log_variables: train gender_confidence/loss nanmean: 0.070810 2021-02-04 23:53:17.222: INFO @log_variables: train gender_confidence/accuracy mean: 0.767506 2021-02-04 23:53:17.222: INFO @log_variables: train age_confidence/loss mean: 0.055796 2021-02-04 23:53:17.222: INFO @log_variables: train age_confidence/accuracy mean: 0.681424 2021-02-04 23:53:17.222: INFO @log_variables: valid loss nanmean: 1.246195 2021-02-04 23:53:17.222: INFO @log_variables: valid age_loss mean: 9.409252 2021-02-04 23:53:17.223: INFO @log_variables: valid gender_loss mean: 0.285552 2021-02-04 23:53:17.223: INFO @log_variables: valid age_mae mean: 8.812973 2021-02-04 23:53:17.223: INFO @log_variables: valid gender_accuracy mean: 0.880331 2021-02-04 23:53:17.223: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069738 2021-02-04 23:53:17.223: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826141 2021-02-04 23:53:17.223: INFO @log_variables: valid age_confidence/loss mean: 0.061478 2021-02-04 23:53:17.223: INFO @log_variables: valid age_confidence/accuracy mean: 0.634972 2021-02-04 23:53:17.223: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:53:17.225: INFO @metrics_hook: train age_mae: 9.516 +-0.159 (13824) 2021-02-04 23:53:17.227: INFO @metrics_hook: train gender_accuracy: 0.858 +-0.006 (13824) 2021-02-04 23:53:18.655: INFO @metrics_hook: valid age_mae: 8.813 +-0.272 (3986) 2021-02-04 23:53:18.655: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-04 23:53:19.890: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:53:19.890: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.21 2021-02-04 23:53:19.890: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-04 23:53:19.890: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:53:19.974: INFO @evaluate_confidence: Previous accuracy would be: 85.84 2021-02-04 23:53:19.974: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:53:19.979: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.63, 91.87, 92.16, 92.53, 92.8, 93.03, 93.33, 93.6, 93.85, 94.09, 94.32, 94.5, 94.69, 94.95, 95.1, 95.37, 95.5, 95.76, 95.98, 96.09, 96.27, 96.52, 96.6, 96.75] 2021-02-04 23:53:19.979: INFO @evaluate_confidence: Dropped ratios are: [24.01, 25.25, 26.56, 27.89, 29.14, 30.37, 31.68, 32.96, 34.22, 35.48, 36.62, 37.6, 38.82, 39.94, 41.2, 42.46, 43.61, 44.89, 46.05, 47.24, 48.47, 49.69, 50.86, 52.2] 2021-02-04 23:53:19.985: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:53:19.985: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:53:19.985: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:53:19.985: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:53:20.073: INFO @evaluate_confidence: Previous accuracy would be: 40.40 2021-02-04 23:53:20.073: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:53:20.076: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.46, 54.69, 55.81, 57.07, 58.66, 59.84, 61.23, 62.75, 64.11, 65.59, 66.83, 67.95, 69.32] 2021-02-04 23:53:20.076: INFO @evaluate_confidence: Dropped ratios are: [52.17, 55.45, 58.39, 60.97, 63.61, 65.61, 67.77, 69.82, 71.62, 73.28, 74.86, 76.26, 77.76] 2021-02-04 23:53:20.078: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:53:20.078: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-04 23:53:20.078: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.17 2021-02-04 23:53:20.078: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-04 23:53:20.149: INFO @evaluate_confidence: Previous accuracy would be: 88.03 2021-02-04 23:53:20.149: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78] 2021-02-04 23:53:20.151: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.47, 93.77, 93.85, 94.08, 94.31, 94.46, 94.62, 94.88, 95.09, 95.31, 95.47, 95.66, 96.08, 96.16, 96.21, 96.54, 96.69, 96.79, 96.89, 97.04, 97.18, 97.34, 97.33, 97.59, 97.68] 2021-02-04 23:53:20.151: INFO @evaluate_confidence: Dropped ratios are: [20.85, 21.85, 22.93, 23.71, 24.56, 25.74, 26.74, 27.92, 28.93, 29.88, 30.71, 31.74, 32.76, 34.02, 35.15, 36.1, 37.03, 38.18, 39.44, 40.59, 41.32, 42.4, 43.58, 44.76, 46.01] 2021-02-04 23:53:20.153: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:53:20.153: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.47 +- 0.18 2021-02-04 23:53:20.153: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:53:20.153: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.15 2021-02-04 23:53:20.247: INFO @evaluate_confidence: Previous accuracy would be: 41.87 2021-02-04 23:53:20.248: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:53:20.249: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.4, 54.47, 55.77, 56.51, 57.91, 57.88, 58.82, 59.96, 61.22] 2021-02-04 23:53:20.249: INFO @evaluate_confidence: Dropped ratios are: [52.73, 57.07, 60.64, 64.17, 66.86, 69.92, 72.7, 75.19, 76.97] 2021-02-04 23:53:20.258: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:53:20.623: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:53:20.678: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:53:20.941: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:53:21.094: INFO @decay_lr : LR updated to `0.00013185787` 2021-02-04 23:53:21.096: INFO @log_profile : T train: 12.318494 2021-02-04 23:53:21.096: INFO @log_profile : T valid: 1.537743 2021-02-04 23:53:21.096: INFO @log_profile : T read data: 0.389684 2021-02-04 23:53:21.096: INFO @log_profile : T hooks: 4.438617 2021-02-04 23:53:21.096: INFO @main_loop : Epoch 164 done 2021-02-04 23:53:21.096: INFO @main_loop : Training epoch 165 2021-02-04 23:53:36.572: INFO @log_variables: train loss nanmean: 1.338021 2021-02-04 23:53:36.573: INFO @log_variables: train age_loss mean: 10.061972 2021-02-04 23:53:36.573: INFO @log_variables: train gender_loss mean: 0.325833 2021-02-04 23:53:36.573: INFO @log_variables: train age_mae mean: 9.467483 2021-02-04 23:53:36.573: INFO @log_variables: train gender_accuracy mean: 0.857971 2021-02-04 23:53:36.573: INFO @log_variables: train gender_confidence/loss nanmean: 0.070975 2021-02-04 23:53:36.573: INFO @log_variables: train gender_confidence/accuracy mean: 0.765626 2021-02-04 23:53:36.573: INFO @log_variables: train age_confidence/loss mean: 0.056108 2021-02-04 23:53:36.573: INFO @log_variables: train age_confidence/accuracy mean: 0.671688 2021-02-04 23:53:36.573: INFO @log_variables: valid loss nanmean: 1.282658 2021-02-04 23:53:36.573: INFO @log_variables: valid age_loss mean: 9.648478 2021-02-04 23:53:36.573: INFO @log_variables: valid gender_loss mean: 0.298708 2021-02-04 23:53:36.573: INFO @log_variables: valid age_mae mean: 9.041513 2021-02-04 23:53:36.573: INFO @log_variables: valid gender_accuracy mean: 0.874059 2021-02-04 23:53:36.573: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072021 2021-02-04 23:53:36.573: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827396 2021-02-04 23:53:36.574: INFO @log_variables: valid age_confidence/loss mean: 0.061950 2021-02-04 23:53:36.574: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-04 23:53:36.574: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:53:36.575: INFO @metrics_hook: train age_mae: 9.467 +-0.156 (13807) 2021-02-04 23:53:36.577: INFO @metrics_hook: train gender_accuracy: 0.858 +-0.006 (13807) 2021-02-04 23:53:38.009: INFO @metrics_hook: valid age_mae: 9.042 +-0.284 (3986) 2021-02-04 23:53:38.009: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-04 23:53:39.359: INFO @decay_lr : LR updated to `0.00013119858` 2021-02-04 23:53:39.360: INFO @log_profile : T train: 12.762041 2021-02-04 23:53:39.360: INFO @log_profile : T valid: 1.578562 2021-02-04 23:53:39.360: INFO @log_profile : T read data: 0.515702 2021-02-04 23:53:39.360: INFO @log_profile : T hooks: 3.361318 2021-02-04 23:53:39.360: INFO @main_loop : Epoch 165 done 2021-02-04 23:53:39.360: INFO @main_loop : Training epoch 166 2021-02-04 23:53:54.992: INFO @log_variables: train loss nanmean: 1.323121 2021-02-04 23:53:54.992: INFO @log_variables: train age_loss mean: 9.972224 2021-02-04 23:53:54.992: INFO @log_variables: train gender_loss mean: 0.317395 2021-02-04 23:53:54.992: INFO @log_variables: train age_mae mean: 9.381304 2021-02-04 23:53:54.992: INFO @log_variables: train gender_accuracy mean: 0.862486 2021-02-04 23:53:54.992: INFO @log_variables: train gender_confidence/loss nanmean: 0.071791 2021-02-04 23:53:54.992: INFO @log_variables: train gender_confidence/accuracy mean: 0.761357 2021-02-04 23:53:54.992: INFO @log_variables: train age_confidence/loss mean: 0.056223 2021-02-04 23:53:54.993: INFO @log_variables: train age_confidence/accuracy mean: 0.676288 2021-02-04 23:53:54.993: INFO @log_variables: valid loss nanmean: 1.267432 2021-02-04 23:53:54.993: INFO @log_variables: valid age_loss mean: 9.571586 2021-02-04 23:53:54.993: INFO @log_variables: valid gender_loss mean: 0.291518 2021-02-04 23:53:54.993: INFO @log_variables: valid age_mae mean: 8.974477 2021-02-04 23:53:54.993: INFO @log_variables: valid gender_accuracy mean: 0.878575 2021-02-04 23:53:54.993: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071743 2021-02-04 23:53:54.993: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830657 2021-02-04 23:53:54.993: INFO @log_variables: valid age_confidence/loss mean: 0.060529 2021-02-04 23:53:54.993: INFO @log_variables: valid age_confidence/accuracy mean: 0.642499 2021-02-04 23:53:54.993: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:53:54.995: INFO @metrics_hook: train age_mae: 9.381 +-0.156 (13824) 2021-02-04 23:53:54.997: INFO @metrics_hook: train gender_accuracy: 0.862 +-0.006 (13824) 2021-02-04 23:53:56.482: INFO @metrics_hook: valid age_mae: 8.974 +-0.277 (3986) 2021-02-04 23:53:56.483: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-04 23:53:57.788: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:53:57.788: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:53:57.788: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:53:57.788: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:53:57.867: INFO @evaluate_confidence: Previous accuracy would be: 86.25 2021-02-04 23:53:57.868: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:53:57.873: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.92, 92.17, 92.47, 92.8, 92.96, 93.15, 93.38, 93.53, 93.81, 94.02, 94.28, 94.57, 94.76, 94.97, 95.32, 95.41, 95.62, 95.75, 95.86, 96.08, 96.12, 96.37, 96.4] 2021-02-04 23:53:57.873: INFO @evaluate_confidence: Dropped ratios are: [25.59, 26.87, 28.21, 29.46, 30.61, 31.95, 33.12, 34.26, 35.45, 36.69, 37.9, 39.16, 40.32, 41.63, 42.79, 43.89, 45.18, 46.33, 47.37, 48.68, 49.79, 50.99, 52.19] 2021-02-04 23:53:57.880: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:53:57.881: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:53:57.881: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:53:57.881: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:53:57.982: INFO @evaluate_confidence: Previous accuracy would be: 40.44 2021-02-04 23:53:57.982: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:53:57.985: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.33, 53.47, 54.98, 56.26, 57.6, 58.81, 60.47, 62.06, 63.45, 65.04, 66.06, 67.26, 68.33] 2021-02-04 23:53:57.985: INFO @evaluate_confidence: Dropped ratios are: [50.59, 54.09, 57.29, 60.39, 63.01, 65.46, 67.81, 69.95, 71.8, 73.62, 75.13, 76.62, 77.86] 2021-02-04 23:53:57.987: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:53:57.987: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-04 23:53:57.987: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:53:57.987: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-04 23:53:58.061: INFO @evaluate_confidence: Previous accuracy would be: 87.86 2021-02-04 23:53:58.061: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:53:58.062: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.26, 93.44, 93.65, 93.81, 93.96, 94.16, 94.32, 94.52, 94.93, 95.07, 95.33, 95.58, 95.66, 95.93, 96.03, 96.31, 96.34, 96.48, 96.5, 96.51, 96.77, 96.93, 97.08, 97.23, 97.46] 2021-02-04 23:53:58.063: INFO @evaluate_confidence: Dropped ratios are: [20.3, 21.22, 22.23, 22.98, 24.03, 25.24, 26.19, 27.25, 28.22, 29.28, 30.21, 31.36, 32.34, 33.37, 34.3, 35.37, 36.28, 37.31, 38.28, 39.59, 40.92, 42.07, 43.38, 44.66, 45.58] 2021-02-04 23:53:58.064: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:53:58.064: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-04 23:53:58.064: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:53:58.064: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-04 23:53:58.161: INFO @evaluate_confidence: Previous accuracy would be: 41.55 2021-02-04 23:53:58.161: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-04 23:53:58.163: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.51, 54.33, 55.99, 56.61, 57.48, 58.49, 59.78, 60.6, 62.42, 64.04] 2021-02-04 23:53:58.163: INFO @evaluate_confidence: Dropped ratios are: [51.1, 55.07, 59.13, 62.42, 65.3, 68.51, 70.87, 73.38, 75.16, 77.67] 2021-02-04 23:53:58.174: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:53:58.523: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:53:58.580: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:53:58.824: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:53:58.962: INFO @decay_lr : LR updated to `0.0001305426` 2021-02-04 23:53:58.963: INFO @log_profile : T train: 12.912023 2021-02-04 23:53:58.964: INFO @log_profile : T valid: 1.674048 2021-02-04 23:53:58.964: INFO @log_profile : T read data: 0.401646 2021-02-04 23:53:58.964: INFO @log_profile : T hooks: 4.565935 2021-02-04 23:53:58.964: INFO @main_loop : Epoch 166 done 2021-02-04 23:53:58.964: INFO @main_loop : Training epoch 167 2021-02-04 23:54:14.336: INFO @log_variables: train loss nanmean: 1.324917 2021-02-04 23:54:14.336: INFO @log_variables: train age_loss mean: 9.915918 2021-02-04 23:54:14.336: INFO @log_variables: train gender_loss mean: 0.325667 2021-02-04 23:54:14.336: INFO @log_variables: train age_mae mean: 9.323980 2021-02-04 23:54:14.336: INFO @log_variables: train gender_accuracy mean: 0.855686 2021-02-04 23:54:14.336: INFO @log_variables: train gender_confidence/loss nanmean: 0.070614 2021-02-04 23:54:14.336: INFO @log_variables: train gender_confidence/accuracy mean: 0.761574 2021-02-04 23:54:14.336: INFO @log_variables: train age_confidence/loss mean: 0.056794 2021-02-04 23:54:14.336: INFO @log_variables: train age_confidence/accuracy mean: 0.669777 2021-02-04 23:54:14.336: INFO @log_variables: valid loss nanmean: 1.254853 2021-02-04 23:54:14.337: INFO @log_variables: valid age_loss mean: 9.507075 2021-02-04 23:54:14.337: INFO @log_variables: valid gender_loss mean: 0.284329 2021-02-04 23:54:14.337: INFO @log_variables: valid age_mae mean: 8.907931 2021-02-04 23:54:14.337: INFO @log_variables: valid gender_accuracy mean: 0.885098 2021-02-04 23:54:14.337: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071429 2021-02-04 23:54:14.337: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826894 2021-02-04 23:54:14.337: INFO @log_variables: valid age_confidence/loss mean: 0.060664 2021-02-04 23:54:14.337: INFO @log_variables: valid age_confidence/accuracy mean: 0.636478 2021-02-04 23:54:14.337: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:54:14.339: INFO @metrics_hook: train age_mae: 9.324 +-0.155 (13824) 2021-02-04 23:54:14.340: INFO @metrics_hook: train gender_accuracy: 0.856 +-0.006 (13824) 2021-02-04 23:54:15.803: INFO @metrics_hook: valid age_mae: 8.908 +-0.272 (3986) 2021-02-04 23:54:15.803: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-04 23:54:17.219: INFO @decay_lr : LR updated to `0.00012988989` 2021-02-04 23:54:17.435: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:54:17.437: INFO @log_profile : T train: 12.776017 2021-02-04 23:54:17.437: INFO @log_profile : T valid: 1.561790 2021-02-04 23:54:17.437: INFO @log_profile : T read data: 0.393693 2021-02-04 23:54:17.437: INFO @log_profile : T hooks: 3.694445 2021-02-04 23:54:17.438: INFO @main_loop : Epoch 167 done 2021-02-04 23:54:17.438: INFO @main_loop : Training epoch 168 2021-02-04 23:54:32.283: INFO @log_variables: train loss nanmean: 1.330636 2021-02-04 23:54:32.284: INFO @log_variables: train age_loss mean: 9.953289 2021-02-04 23:54:32.284: INFO @log_variables: train gender_loss mean: 0.326609 2021-02-04 23:54:32.284: INFO @log_variables: train age_mae mean: 9.364144 2021-02-04 23:54:32.284: INFO @log_variables: train gender_accuracy mean: 0.858912 2021-02-04 23:54:32.284: INFO @log_variables: train gender_confidence/loss nanmean: 0.072428 2021-02-04 23:54:32.284: INFO @log_variables: train gender_confidence/accuracy mean: 0.758383 2021-02-04 23:54:32.284: INFO @log_variables: train age_confidence/loss mean: 0.056446 2021-02-04 23:54:32.284: INFO @log_variables: train age_confidence/accuracy mean: 0.672702 2021-02-04 23:54:32.284: INFO @log_variables: valid loss nanmean: 1.244064 2021-02-04 23:54:32.284: INFO @log_variables: valid age_loss mean: 9.347754 2021-02-04 23:54:32.284: INFO @log_variables: valid gender_loss mean: 0.290578 2021-02-04 23:54:32.284: INFO @log_variables: valid age_mae mean: 8.758735 2021-02-04 23:54:32.284: INFO @log_variables: valid gender_accuracy mean: 0.876317 2021-02-04 23:54:32.284: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070269 2021-02-04 23:54:32.284: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822378 2021-02-04 23:54:32.284: INFO @log_variables: valid age_confidence/loss mean: 0.059837 2021-02-04 23:54:32.284: INFO @log_variables: valid age_confidence/accuracy mean: 0.648269 2021-02-04 23:54:32.284: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:54:32.286: INFO @metrics_hook: train age_mae: 9.364 +-0.157 (13807) 2021-02-04 23:54:32.288: INFO @metrics_hook: train gender_accuracy: 0.859 +-0.006 (13807) 2021-02-04 23:54:33.687: INFO @metrics_hook: valid age_mae: 8.759 +-0.268 (3986) 2021-02-04 23:54:33.688: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:54:34.977: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:54:34.977: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.71 +- 0.22 2021-02-04 23:54:34.977: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:54:34.977: INFO @evaluate_confidence: Average confidence of all samples 0.68 +- 0.22 2021-02-04 23:54:35.055: INFO @evaluate_confidence: Previous accuracy would be: 85.89 2021-02-04 23:54:35.056: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7] 2021-02-04 23:54:35.060: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [91.81, 92.01, 92.29, 92.51, 92.68, 92.96, 93.22, 93.39, 93.61, 93.84, 94.06, 94.27, 94.49, 94.78, 94.92, 95.03, 95.43, 95.64, 95.83, 95.98, 96.11] 2021-02-04 23:54:35.060: INFO @evaluate_confidence: Dropped ratios are: [26.18, 27.39, 28.77, 29.93, 31.4, 32.61, 33.85, 35.04, 36.38, 37.61, 38.71, 39.93, 41.16, 42.28, 43.41, 44.47, 45.79, 46.85, 48.1, 49.24, 50.35] 2021-02-04 23:54:35.066: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:54:35.066: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:54:35.066: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:54:35.066: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.17 2021-02-04 23:54:35.161: INFO @evaluate_confidence: Previous accuracy would be: 41.00 2021-02-04 23:54:35.161: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:54:35.164: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.02, 54.22, 55.5, 56.85, 57.85, 59.03, 60.81, 62.15, 63.56, 64.7, 65.83, 67.0, 68.05] 2021-02-04 23:54:35.164: INFO @evaluate_confidence: Dropped ratios are: [48.68, 52.16, 55.41, 58.31, 60.79, 63.57, 66.14, 68.22, 70.33, 72.28, 73.82, 75.68, 77.29] 2021-02-04 23:54:35.166: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:54:35.166: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-04 23:54:35.166: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:54:35.166: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-04 23:54:35.236: INFO @evaluate_confidence: Previous accuracy would be: 87.63 2021-02-04 23:54:35.237: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:54:35.238: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.03, 93.37, 93.6, 93.91, 94.26, 94.42, 94.56, 94.79, 94.98, 95.2, 95.48, 95.72, 95.73, 95.91, 96.1, 96.16, 96.49, 96.68, 96.89, 96.95, 97.08, 97.15, 97.22, 97.35, 97.57] 2021-02-04 23:54:35.238: INFO @evaluate_confidence: Dropped ratios are: [21.2, 22.1, 23.13, 24.18, 25.21, 26.29, 27.09, 28.2, 29.05, 29.98, 31.23, 32.51, 33.59, 34.45, 35.67, 36.7, 37.83, 38.86, 40.22, 41.55, 42.52, 43.58, 44.91, 46.11, 47.44] 2021-02-04 23:54:35.240: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:54:35.240: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:54:35.240: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.10 2021-02-04 23:54:35.240: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.14 2021-02-04 23:54:35.331: INFO @evaluate_confidence: Previous accuracy would be: 41.87 2021-02-04 23:54:35.331: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:54:35.332: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.14, 53.42, 54.64, 55.98, 57.69, 58.48, 60.08, 62.08, 63.26, 64.34] 2021-02-04 23:54:35.332: INFO @evaluate_confidence: Dropped ratios are: [49.05, 53.04, 57.02, 60.96, 64.12, 66.88, 69.64, 72.48, 74.46, 76.64] 2021-02-04 23:54:35.342: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:54:35.724: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:54:35.782: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:54:36.054: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:54:36.228: INFO @decay_lr : LR updated to `0.00012924043` 2021-02-04 23:54:36.229: INFO @log_profile : T train: 12.240935 2021-02-04 23:54:36.229: INFO @log_profile : T valid: 1.511082 2021-02-04 23:54:36.229: INFO @log_profile : T read data: 0.484485 2021-02-04 23:54:36.229: INFO @log_profile : T hooks: 4.511227 2021-02-04 23:54:36.229: INFO @main_loop : Epoch 168 done 2021-02-04 23:54:36.229: INFO @main_loop : Training epoch 169 2021-02-04 23:54:51.191: INFO @log_variables: train loss nanmean: 1.327120 2021-02-04 23:54:51.191: INFO @log_variables: train age_loss mean: 10.042897 2021-02-04 23:54:51.191: INFO @log_variables: train gender_loss mean: 0.315880 2021-02-04 23:54:51.192: INFO @log_variables: train age_mae mean: 9.448503 2021-02-04 23:54:51.192: INFO @log_variables: train gender_accuracy mean: 0.865813 2021-02-04 23:54:51.192: INFO @log_variables: train gender_confidence/loss nanmean: 0.071523 2021-02-04 23:54:51.192: INFO @log_variables: train gender_confidence/accuracy mean: 0.761140 2021-02-04 23:54:51.192: INFO @log_variables: train age_confidence/loss mean: 0.055443 2021-02-04 23:54:51.192: INFO @log_variables: train age_confidence/accuracy mean: 0.680773 2021-02-04 23:54:51.192: INFO @log_variables: valid loss nanmean: 1.272425 2021-02-04 23:54:51.192: INFO @log_variables: valid age_loss mean: 9.572064 2021-02-04 23:54:51.192: INFO @log_variables: valid gender_loss mean: 0.299216 2021-02-04 23:54:51.192: INFO @log_variables: valid age_mae mean: 8.975202 2021-02-04 23:54:51.192: INFO @log_variables: valid gender_accuracy mean: 0.872303 2021-02-04 23:54:51.192: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069746 2021-02-04 23:54:51.192: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833417 2021-02-04 23:54:51.192: INFO @log_variables: valid age_confidence/loss mean: 0.060477 2021-02-04 23:54:51.192: INFO @log_variables: valid age_confidence/accuracy mean: 0.647015 2021-02-04 23:54:51.192: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:54:51.194: INFO @metrics_hook: train age_mae: 9.449 +-0.157 (13824) 2021-02-04 23:54:51.196: INFO @metrics_hook: train gender_accuracy: 0.866 +-0.006 (13824) 2021-02-04 23:54:52.587: INFO @metrics_hook: valid age_mae: 8.975 +-0.269 (3986) 2021-02-04 23:54:52.587: INFO @metrics_hook: valid gender_accuracy: 0.872 +-0.011 (3986) 2021-02-04 23:54:53.959: INFO @decay_lr : LR updated to `0.00012859423` 2021-02-04 23:54:53.961: INFO @log_profile : T train: 12.499543 2021-02-04 23:54:53.961: INFO @log_profile : T valid: 1.432057 2021-02-04 23:54:53.961: INFO @log_profile : T read data: 0.396937 2021-02-04 23:54:53.961: INFO @log_profile : T hooks: 3.358000 2021-02-04 23:54:53.961: INFO @main_loop : Epoch 169 done 2021-02-04 23:54:53.961: INFO @main_loop : Training epoch 170 2021-02-04 23:55:10.030: INFO @log_variables: train loss nanmean: 1.324290 2021-02-04 23:55:10.030: INFO @log_variables: train age_loss mean: 9.984615 2021-02-04 23:55:10.030: INFO @log_variables: train gender_loss mean: 0.317491 2021-02-04 23:55:10.030: INFO @log_variables: train age_mae mean: 9.394920 2021-02-04 23:55:10.030: INFO @log_variables: train gender_accuracy mean: 0.865307 2021-02-04 23:55:10.030: INFO @log_variables: train gender_confidence/loss nanmean: 0.072253 2021-02-04 23:55:10.031: INFO @log_variables: train gender_confidence/accuracy mean: 0.764323 2021-02-04 23:55:10.031: INFO @log_variables: train age_confidence/loss mean: 0.055717 2021-02-04 23:55:10.031: INFO @log_variables: train age_confidence/accuracy mean: 0.678241 2021-02-04 23:55:10.031: INFO @log_variables: valid loss nanmean: 1.278871 2021-02-04 23:55:10.031: INFO @log_variables: valid age_loss mean: 9.605682 2021-02-04 23:55:10.031: INFO @log_variables: valid gender_loss mean: 0.300845 2021-02-04 23:55:10.031: INFO @log_variables: valid age_mae mean: 9.004253 2021-02-04 23:55:10.031: INFO @log_variables: valid gender_accuracy mean: 0.875815 2021-02-04 23:55:10.031: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071763 2021-02-04 23:55:10.031: INFO @log_variables: valid gender_confidence/accuracy mean: 0.821375 2021-02-04 23:55:10.031: INFO @log_variables: valid age_confidence/loss mean: 0.060369 2021-02-04 23:55:10.031: INFO @log_variables: valid age_confidence/accuracy mean: 0.635725 2021-02-04 23:55:10.031: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:55:10.033: INFO @metrics_hook: train age_mae: 9.395 +-0.155 (13824) 2021-02-04 23:55:10.034: INFO @metrics_hook: train gender_accuracy: 0.865 +-0.006 (13824) 2021-02-04 23:55:11.418: INFO @metrics_hook: valid age_mae: 9.004 +-0.275 (3986) 2021-02-04 23:55:11.418: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:55:12.604: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:55:12.604: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:55:12.604: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:55:12.604: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:55:12.681: INFO @evaluate_confidence: Previous accuracy would be: 86.53 2021-02-04 23:55:12.681: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:55:12.686: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.27, 92.51, 92.69, 92.81, 93.09, 93.36, 93.55, 93.7, 93.93, 94.22, 94.34, 94.55, 94.75, 94.96, 95.1, 95.25, 95.41, 95.63, 95.77, 95.89, 96.13, 96.39, 96.61] 2021-02-04 23:55:12.686: INFO @evaluate_confidence: Dropped ratios are: [25.52, 26.71, 27.89, 29.02, 30.43, 31.65, 32.78, 33.91, 35.07, 36.31, 37.38, 38.6, 39.64, 40.99, 42.14, 43.22, 44.49, 45.58, 46.66, 47.88, 48.95, 50.09, 51.38] 2021-02-04 23:55:12.691: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:55:12.691: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.22 2021-02-04 23:55:12.691: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:55:12.692: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.18 2021-02-04 23:55:12.779: INFO @evaluate_confidence: Previous accuracy would be: 40.22 2021-02-04 23:55:12.779: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:55:12.782: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.27, 54.71, 56.01, 57.17, 58.25, 59.36, 61.0, 62.3, 63.18, 64.39, 65.64, 67.0, 68.62] 2021-02-04 23:55:12.782: INFO @evaluate_confidence: Dropped ratios are: [51.93, 55.16, 58.15, 60.76, 63.39, 65.79, 68.08, 69.87, 71.54, 73.37, 74.84, 76.35, 77.76] 2021-02-04 23:55:12.784: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:55:12.784: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:55:12.784: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-04 23:55:12.784: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-04 23:55:12.851: INFO @evaluate_confidence: Previous accuracy would be: 87.58 2021-02-04 23:55:12.851: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:55:12.852: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.06, 93.32, 93.49, 93.7, 93.84, 93.97, 94.12, 94.35, 94.79, 94.9, 95.04, 95.3, 95.49, 95.65, 95.84, 96.1, 96.37, 96.37, 96.52, 96.67, 96.93, 97.05, 97.17] 2021-02-04 23:55:12.852: INFO @evaluate_confidence: Dropped ratios are: [21.17, 22.3, 23.31, 24.34, 25.44, 26.77, 27.9, 28.98, 30.18, 31.16, 32.29, 33.34, 34.37, 35.37, 36.6, 37.63, 39.19, 40.57, 41.6, 42.67, 43.65, 44.81, 45.99] 2021-02-04 23:55:12.854: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:55:12.854: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-04 23:55:12.854: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-04 23:55:12.854: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:55:12.937: INFO @evaluate_confidence: Previous accuracy would be: 40.57 2021-02-04 23:55:12.938: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:55:12.939: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [50.55, 51.17, 52.98, 54.04, 55.5, 55.91, 56.42, 57.29, 58.52, 60.25] 2021-02-04 23:55:12.939: INFO @evaluate_confidence: Dropped ratios are: [52.46, 56.07, 59.61, 62.77, 65.55, 68.82, 71.68, 73.68, 75.87, 77.85] 2021-02-04 23:55:12.948: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:55:13.293: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:13.355: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:55:13.602: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:13.654: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:55:14.001: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:14.060: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:55:14.061: INFO @evaluate_gender-age_model: groups 0 6.548186 1 10.603662 2 9.776819 3 8.994854 4 9.153580 5 9.996829 6 10.415283 7 9.488778 Name: errors, dtype: float64 2021-02-04 23:55:14.061: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:55:14.308: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:14.358: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:55:14.358: INFO @evaluate_gender-age_model: groups 0 6.268941 1 8.219319 2 7.936783 3 7.610987 4 9.124056 5 10.175234 6 11.604076 7 11.466653 Name: errors, dtype: float64 2021-02-04 23:55:14.452: INFO @decay_lr : LR updated to `0.00012795125` 2021-02-04 23:55:14.453: INFO @log_profile : T train: 12.819938 2021-02-04 23:55:14.453: INFO @log_profile : T valid: 1.647823 2021-02-04 23:55:14.453: INFO @log_profile : T read data: 0.397366 2021-02-04 23:55:14.453: INFO @log_profile : T hooks: 5.578422 2021-02-04 23:55:14.453: INFO @main_loop : Epoch 170 done 2021-02-04 23:55:14.453: INFO @main_loop : Training epoch 171 2021-02-04 23:55:29.489: INFO @log_variables: train loss nanmean: 1.314891 2021-02-04 23:55:29.489: INFO @log_variables: train age_loss mean: 9.849582 2021-02-04 23:55:29.489: INFO @log_variables: train gender_loss mean: 0.321665 2021-02-04 23:55:29.489: INFO @log_variables: train age_mae mean: 9.261152 2021-02-04 23:55:29.489: INFO @log_variables: train gender_accuracy mean: 0.858043 2021-02-04 23:55:29.489: INFO @log_variables: train gender_confidence/loss nanmean: 0.070756 2021-02-04 23:55:29.489: INFO @log_variables: train gender_confidence/accuracy mean: 0.761787 2021-02-04 23:55:29.489: INFO @log_variables: train age_confidence/loss mean: 0.056296 2021-02-04 23:55:29.489: INFO @log_variables: train age_confidence/accuracy mean: 0.676396 2021-02-04 23:55:29.489: INFO @log_variables: valid loss nanmean: 1.276146 2021-02-04 23:55:29.490: INFO @log_variables: valid age_loss mean: 9.673041 2021-02-04 23:55:29.490: INFO @log_variables: valid gender_loss mean: 0.292825 2021-02-04 23:55:29.490: INFO @log_variables: valid age_mae mean: 9.068533 2021-02-04 23:55:29.490: INFO @log_variables: valid gender_accuracy mean: 0.874561 2021-02-04 23:55:29.490: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071246 2021-02-04 23:55:29.490: INFO @log_variables: valid gender_confidence/accuracy mean: 0.825640 2021-02-04 23:55:29.490: INFO @log_variables: valid age_confidence/loss mean: 0.059327 2021-02-04 23:55:29.490: INFO @log_variables: valid age_confidence/accuracy mean: 0.650276 2021-02-04 23:55:29.490: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:55:29.492: INFO @metrics_hook: train age_mae: 9.261 +-0.153 (13807) 2021-02-04 23:55:29.493: INFO @metrics_hook: train gender_accuracy: 0.858 +-0.006 (13807) 2021-02-04 23:55:30.919: INFO @metrics_hook: valid age_mae: 9.069 +-0.278 (3986) 2021-02-04 23:55:30.920: INFO @metrics_hook: valid gender_accuracy: 0.875 +-0.010 (3986) 2021-02-04 23:55:32.222: INFO @decay_lr : LR updated to `0.00012731149` 2021-02-04 23:55:32.223: INFO @log_profile : T train: 12.411567 2021-02-04 23:55:32.223: INFO @log_profile : T valid: 1.480669 2021-02-04 23:55:32.223: INFO @log_profile : T read data: 0.513118 2021-02-04 23:55:32.223: INFO @log_profile : T hooks: 3.318563 2021-02-04 23:55:32.223: INFO @main_loop : Epoch 171 done 2021-02-04 23:55:32.223: INFO @main_loop : Training epoch 172 2021-02-04 23:55:47.749: INFO @log_variables: train loss nanmean: 1.312760 2021-02-04 23:55:47.750: INFO @log_variables: train age_loss mean: 9.933883 2021-02-04 23:55:47.750: INFO @log_variables: train gender_loss mean: 0.310122 2021-02-04 23:55:47.750: INFO @log_variables: train age_mae mean: 9.343815 2021-02-04 23:55:47.750: INFO @log_variables: train gender_accuracy mean: 0.865307 2021-02-04 23:55:47.750: INFO @log_variables: train gender_confidence/loss nanmean: 0.071275 2021-02-04 23:55:47.750: INFO @log_variables: train gender_confidence/accuracy mean: 0.766348 2021-02-04 23:55:47.750: INFO @log_variables: train age_confidence/loss mean: 0.056476 2021-02-04 23:55:47.750: INFO @log_variables: train age_confidence/accuracy mean: 0.673973 2021-02-04 23:55:47.750: INFO @log_variables: valid loss nanmean: 1.251358 2021-02-04 23:55:47.750: INFO @log_variables: valid age_loss mean: 9.408559 2021-02-04 23:55:47.750: INFO @log_variables: valid gender_loss mean: 0.289390 2021-02-04 23:55:47.750: INFO @log_variables: valid age_mae mean: 8.813457 2021-02-04 23:55:47.750: INFO @log_variables: valid gender_accuracy mean: 0.875564 2021-02-04 23:55:47.750: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071256 2021-02-04 23:55:47.750: INFO @log_variables: valid gender_confidence/accuracy mean: 0.828901 2021-02-04 23:55:47.750: INFO @log_variables: valid age_confidence/loss mean: 0.061698 2021-02-04 23:55:47.751: INFO @log_variables: valid age_confidence/accuracy mean: 0.639237 2021-02-04 23:55:47.751: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:55:47.752: INFO @metrics_hook: train age_mae: 9.344 +-0.156 (13824) 2021-02-04 23:55:47.754: INFO @metrics_hook: train gender_accuracy: 0.865 +-0.006 (13824) 2021-02-04 23:55:49.178: INFO @metrics_hook: valid age_mae: 8.813 +-0.269 (3986) 2021-02-04 23:55:49.179: INFO @metrics_hook: valid gender_accuracy: 0.876 +-0.010 (3986) 2021-02-04 23:55:50.414: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:55:50.414: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:55:50.414: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.16 2021-02-04 23:55:50.414: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:55:50.496: INFO @evaluate_confidence: Previous accuracy would be: 86.53 2021-02-04 23:55:50.497: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:55:50.501: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.4, 92.61, 92.9, 93.12, 93.31, 93.53, 93.75, 94.01, 94.23, 94.47, 94.66, 94.8, 94.95, 95.12, 95.36, 95.62, 95.87, 96.09, 96.39, 96.56, 96.66, 96.82, 96.97] 2021-02-04 23:55:50.501: INFO @evaluate_confidence: Dropped ratios are: [25.52, 26.82, 28.05, 29.34, 30.68, 31.82, 33.03, 34.35, 35.42, 36.57, 37.93, 38.97, 40.23, 41.49, 42.66, 43.82, 44.99, 46.2, 47.24, 48.41, 49.54, 50.56, 51.8] 2021-02-04 23:55:50.507: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:55:50.507: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:55:50.507: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-04 23:55:50.507: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-04 23:55:50.599: INFO @evaluate_confidence: Previous accuracy would be: 41.12 2021-02-04 23:55:50.599: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:55:50.602: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.33, 54.64, 55.82, 57.16, 58.21, 59.49, 60.72, 61.88, 63.05, 64.31, 65.95, 67.35, 68.53] 2021-02-04 23:55:50.603: INFO @evaluate_confidence: Dropped ratios are: [49.76, 53.02, 56.07, 58.92, 61.47, 64.14, 66.26, 68.33, 70.34, 72.13, 73.87, 75.45, 76.97] 2021-02-04 23:55:50.604: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:55:50.604: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:55:50.604: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.16 2021-02-04 23:55:50.604: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.20 2021-02-04 23:55:50.673: INFO @evaluate_confidence: Previous accuracy would be: 87.56 2021-02-04 23:55:50.673: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:55:50.674: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.0, 93.4, 93.58, 93.74, 94.12, 94.43, 94.69, 94.81, 95.08, 95.25, 95.49, 95.66, 95.88, 95.93, 96.13, 96.39, 96.64, 96.67, 96.77, 97.0, 97.07, 97.18, 97.32, 97.36] 2021-02-04 23:55:50.675: INFO @evaluate_confidence: Dropped ratios are: [20.45, 21.75, 22.68, 23.83, 24.89, 26.19, 27.3, 28.52, 29.65, 30.76, 32.06, 33.02, 34.3, 35.35, 36.43, 37.46, 38.79, 39.76, 40.94, 42.37, 43.55, 44.81, 45.79, 46.74] 2021-02-04 23:55:50.676: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:55:50.676: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.18 2021-02-04 23:55:50.676: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:55:50.676: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.15 2021-02-04 23:55:50.769: INFO @evaluate_confidence: Previous accuracy would be: 42.15 2021-02-04 23:55:50.769: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48] 2021-02-04 23:55:50.770: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.34, 53.29, 54.43, 56.19, 57.78, 58.37, 60.04, 61.26, 63.32, 64.84] 2021-02-04 23:55:50.770: INFO @evaluate_confidence: Dropped ratios are: [50.25, 54.57, 58.1, 62.32, 65.48, 68.67, 71.5, 74.16, 76.27, 78.02] 2021-02-04 23:55:50.779: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:55:51.120: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:51.175: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:55:51.423: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:55:51.566: INFO @decay_lr : LR updated to `0.00012667493` 2021-02-04 23:55:51.567: INFO @log_profile : T train: 12.873323 2021-02-04 23:55:51.567: INFO @log_profile : T valid: 1.603330 2021-02-04 23:55:51.567: INFO @log_profile : T read data: 0.396753 2021-02-04 23:55:51.567: INFO @log_profile : T hooks: 4.421671 2021-02-04 23:55:51.567: INFO @main_loop : Epoch 172 done 2021-02-04 23:55:51.567: INFO @main_loop : Training epoch 173 2021-02-04 23:56:06.895: INFO @log_variables: train loss nanmean: 1.303430 2021-02-04 23:56:06.895: INFO @log_variables: train age_loss mean: 9.851859 2021-02-04 23:56:06.895: INFO @log_variables: train gender_loss mean: 0.308213 2021-02-04 23:56:06.895: INFO @log_variables: train age_mae mean: 9.262057 2021-02-04 23:56:06.895: INFO @log_variables: train gender_accuracy mean: 0.866609 2021-02-04 23:56:06.895: INFO @log_variables: train gender_confidence/loss nanmean: 0.071278 2021-02-04 23:56:06.895: INFO @log_variables: train gender_confidence/accuracy mean: 0.768084 2021-02-04 23:56:06.896: INFO @log_variables: train age_confidence/loss mean: 0.056334 2021-02-04 23:56:06.896: INFO @log_variables: train age_confidence/accuracy mean: 0.674696 2021-02-04 23:56:06.896: INFO @log_variables: valid loss nanmean: 1.268991 2021-02-04 23:56:06.896: INFO @log_variables: valid age_loss mean: 9.524186 2021-02-04 23:56:06.896: INFO @log_variables: valid gender_loss mean: 0.296214 2021-02-04 23:56:06.896: INFO @log_variables: valid age_mae mean: 8.926393 2021-02-04 23:56:06.896: INFO @log_variables: valid gender_accuracy mean: 0.877822 2021-02-04 23:56:06.896: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071830 2021-02-04 23:56:06.896: INFO @log_variables: valid gender_confidence/accuracy mean: 0.822378 2021-02-04 23:56:06.896: INFO @log_variables: valid age_confidence/loss mean: 0.062041 2021-02-04 23:56:06.896: INFO @log_variables: valid age_confidence/accuracy mean: 0.630206 2021-02-04 23:56:06.896: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:56:06.898: INFO @metrics_hook: train age_mae: 9.262 +-0.154 (13824) 2021-02-04 23:56:06.899: INFO @metrics_hook: train gender_accuracy: 0.867 +-0.006 (13824) 2021-02-04 23:56:08.328: INFO @metrics_hook: valid age_mae: 8.926 +-0.278 (3986) 2021-02-04 23:56:08.329: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-04 23:56:09.676: INFO @decay_lr : LR updated to `0.00012604156` 2021-02-04 23:56:09.677: INFO @log_profile : T train: 12.808338 2021-02-04 23:56:09.677: INFO @log_profile : T valid: 1.490515 2021-02-04 23:56:09.677: INFO @log_profile : T read data: 0.392687 2021-02-04 23:56:09.677: INFO @log_profile : T hooks: 3.370627 2021-02-04 23:56:09.677: INFO @main_loop : Epoch 173 done 2021-02-04 23:56:09.677: INFO @main_loop : Training epoch 174 2021-02-04 23:56:25.227: INFO @log_variables: train loss nanmean: 1.308301 2021-02-04 23:56:25.227: INFO @log_variables: train age_loss mean: 9.858484 2021-02-04 23:56:25.227: INFO @log_variables: train gender_loss mean: 0.311899 2021-02-04 23:56:25.227: INFO @log_variables: train age_mae mean: 9.268920 2021-02-04 23:56:25.227: INFO @log_variables: train gender_accuracy mean: 0.866589 2021-02-04 23:56:25.227: INFO @log_variables: train gender_confidence/loss nanmean: 0.072336 2021-02-04 23:56:25.227: INFO @log_variables: train gender_confidence/accuracy mean: 0.765047 2021-02-04 23:56:25.227: INFO @log_variables: train age_confidence/loss mean: 0.056195 2021-02-04 23:56:25.227: INFO @log_variables: train age_confidence/accuracy mean: 0.675165 2021-02-04 23:56:25.227: INFO @log_variables: valid loss nanmean: 1.252341 2021-02-04 23:56:25.227: INFO @log_variables: valid age_loss mean: 9.507924 2021-02-04 23:56:25.227: INFO @log_variables: valid gender_loss mean: 0.284469 2021-02-04 23:56:25.227: INFO @log_variables: valid age_mae mean: 8.914035 2021-02-04 23:56:25.227: INFO @log_variables: valid gender_accuracy mean: 0.880833 2021-02-04 23:56:25.227: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069517 2021-02-04 23:56:25.228: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839438 2021-02-04 23:56:25.228: INFO @log_variables: valid age_confidence/loss mean: 0.059859 2021-02-04 23:56:25.228: INFO @log_variables: valid age_confidence/accuracy mean: 0.644506 2021-02-04 23:56:25.228: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:56:25.229: INFO @metrics_hook: train age_mae: 9.269 +-0.154 (13807) 2021-02-04 23:56:25.231: INFO @metrics_hook: train gender_accuracy: 0.867 +-0.006 (13807) 2021-02-04 23:56:26.647: INFO @metrics_hook: valid age_mae: 8.914 +-0.273 (3986) 2021-02-04 23:56:26.647: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-04 23:56:27.901: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:56:27.901: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:56:27.901: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-04 23:56:27.901: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:56:27.982: INFO @evaluate_confidence: Previous accuracy would be: 86.66 2021-02-04 23:56:27.982: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:56:27.987: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.27, 92.59, 92.78, 92.99, 93.21, 93.33, 93.63, 93.91, 94.14, 94.27, 94.51, 94.72, 94.95, 95.04, 95.27, 95.49, 95.74, 95.97, 96.16, 96.35, 96.55, 96.75, 96.92, 97.03] 2021-02-04 23:56:27.988: INFO @evaluate_confidence: Dropped ratios are: [24.5, 25.84, 27.06, 28.33, 29.51, 30.9, 32.16, 33.66, 34.92, 36.06, 37.36, 38.57, 39.74, 40.73, 41.96, 43.12, 44.43, 45.56, 46.77, 47.84, 49.03, 50.11, 51.12, 52.23] 2021-02-04 23:56:27.994: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:56:27.994: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:56:27.994: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:56:27.994: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-04 23:56:28.082: INFO @evaluate_confidence: Previous accuracy would be: 40.96 2021-02-04 23:56:28.082: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:56:28.086: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.75, 53.92, 55.21, 56.39, 57.64, 59.23, 60.3, 61.84, 62.94, 64.47, 65.62, 67.04, 68.1] 2021-02-04 23:56:28.086: INFO @evaluate_confidence: Dropped ratios are: [48.32, 51.87, 55.15, 58.12, 60.71, 63.44, 65.81, 67.89, 69.96, 71.79, 73.59, 75.13, 76.43] 2021-02-04 23:56:28.087: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:56:28.087: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-04 23:56:28.087: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.16 2021-02-04 23:56:28.088: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.20 2021-02-04 23:56:28.157: INFO @evaluate_confidence: Previous accuracy would be: 88.08 2021-02-04 23:56:28.157: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:56:28.159: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.12, 93.42, 93.63, 93.91, 94.16, 94.61, 94.91, 95.33, 95.37, 95.51, 95.76, 95.8, 95.96, 96.15, 96.36, 96.68, 96.83, 96.94, 97.18, 97.26, 97.38, 97.55, 97.67, 97.76, 97.86] 2021-02-04 23:56:28.159: INFO @evaluate_confidence: Dropped ratios are: [19.72, 21.05, 22.08, 23.41, 24.36, 25.54, 26.59, 28.0, 29.05, 30.13, 31.36, 32.49, 33.57, 34.8, 35.9, 37.33, 38.28, 39.26, 40.29, 41.5, 42.65, 43.78, 45.13, 46.24, 47.37] 2021-02-04 23:56:28.161: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:56:28.161: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.19 2021-02-04 23:56:28.161: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.38 +- 0.11 2021-02-04 23:56:28.161: INFO @evaluate_confidence: Average confidence of all samples 0.42 +- 0.15 2021-02-04 23:56:28.262: INFO @evaluate_confidence: Previous accuracy would be: 41.09 2021-02-04 23:56:28.262: INFO @evaluate_confidence: Possible optimal thresholds are: [0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:56:28.263: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.38, 53.03, 54.65, 55.56, 56.96, 58.17, 59.45, 60.71, 61.44, 62.5] 2021-02-04 23:56:28.263: INFO @evaluate_confidence: Dropped ratios are: [49.42, 53.26, 57.4, 61.39, 65.38, 68.82, 71.73, 74.01, 75.66, 77.92] 2021-02-04 23:56:28.272: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:56:28.634: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:56:28.697: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:56:28.953: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:56:29.110: INFO @decay_lr : LR updated to `0.00012541134` 2021-02-04 23:56:29.111: INFO @log_profile : T train: 12.853052 2021-02-04 23:56:29.111: INFO @log_profile : T valid: 1.557799 2021-02-04 23:56:29.111: INFO @log_profile : T read data: 0.500968 2021-02-04 23:56:29.111: INFO @log_profile : T hooks: 4.473252 2021-02-04 23:56:29.111: INFO @main_loop : Epoch 174 done 2021-02-04 23:56:29.111: INFO @main_loop : Training epoch 175 2021-02-04 23:56:43.965: INFO @log_variables: train loss nanmean: 1.312587 2021-02-04 23:56:43.965: INFO @log_variables: train age_loss mean: 9.851439 2021-02-04 23:56:43.966: INFO @log_variables: train gender_loss mean: 0.316507 2021-02-04 23:56:43.966: INFO @log_variables: train age_mae mean: 9.260422 2021-02-04 23:56:43.966: INFO @log_variables: train gender_accuracy mean: 0.865225 2021-02-04 23:56:43.966: INFO @log_variables: train gender_confidence/loss nanmean: 0.072675 2021-02-04 23:56:43.966: INFO @log_variables: train gender_confidence/accuracy mean: 0.765463 2021-02-04 23:56:43.966: INFO @log_variables: train age_confidence/loss mean: 0.056593 2021-02-04 23:56:43.966: INFO @log_variables: train age_confidence/accuracy mean: 0.671562 2021-02-04 23:56:43.966: INFO @log_variables: valid loss nanmean: 1.238793 2021-02-04 23:56:43.966: INFO @log_variables: valid age_loss mean: 9.333582 2021-02-04 23:56:43.966: INFO @log_variables: valid gender_loss mean: 0.282099 2021-02-04 23:56:43.966: INFO @log_variables: valid age_mae mean: 8.738801 2021-02-04 23:56:43.966: INFO @log_variables: valid gender_accuracy mean: 0.886101 2021-02-04 23:56:43.966: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071790 2021-02-04 23:56:43.966: INFO @log_variables: valid gender_confidence/accuracy mean: 0.821626 2021-02-04 23:56:43.966: INFO @log_variables: valid age_confidence/loss mean: 0.062042 2021-02-04 23:56:43.966: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-04 23:56:43.966: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:56:43.968: INFO @metrics_hook: train age_mae: 9.260 +-0.155 (13823) 2021-02-04 23:56:43.970: INFO @metrics_hook: train gender_accuracy: 0.865 +-0.006 (13823) 2021-02-04 23:56:45.402: INFO @metrics_hook: valid age_mae: 8.739 +-0.269 (3986) 2021-02-04 23:56:45.402: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-04 23:56:46.853: INFO @decay_lr : LR updated to `0.00012478429` 2021-02-04 23:56:47.079: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-04 23:56:47.080: INFO @log_profile : T train: 12.237813 2021-02-04 23:56:47.080: INFO @log_profile : T valid: 1.575547 2021-02-04 23:56:47.080: INFO @log_profile : T read data: 0.403871 2021-02-04 23:56:47.080: INFO @log_profile : T hooks: 3.705782 2021-02-04 23:56:47.081: INFO @main_loop : Epoch 175 done 2021-02-04 23:56:47.081: INFO @main_loop : Training epoch 176 2021-02-04 23:57:02.732: INFO @log_variables: train loss nanmean: 1.318030 2021-02-04 23:57:02.732: INFO @log_variables: train age_loss mean: 9.899118 2021-02-04 23:57:02.734: INFO @log_variables: train gender_loss mean: 0.319052 2021-02-04 23:57:02.734: INFO @log_variables: train age_mae mean: 9.312053 2021-02-04 23:57:02.734: INFO @log_variables: train gender_accuracy mean: 0.862316 2021-02-04 23:57:02.734: INFO @log_variables: train gender_confidence/loss nanmean: 0.071441 2021-02-04 23:57:02.734: INFO @log_variables: train gender_confidence/accuracy mean: 0.761643 2021-02-04 23:57:02.734: INFO @log_variables: train age_confidence/loss mean: 0.056622 2021-02-04 23:57:02.734: INFO @log_variables: train age_confidence/accuracy mean: 0.674078 2021-02-04 23:57:02.734: INFO @log_variables: valid loss nanmean: 1.243512 2021-02-04 23:57:02.734: INFO @log_variables: valid age_loss mean: 9.338436 2021-02-04 23:57:02.734: INFO @log_variables: valid gender_loss mean: 0.288689 2021-02-04 23:57:02.734: INFO @log_variables: valid age_mae mean: 8.743566 2021-02-04 23:57:02.734: INFO @log_variables: valid gender_accuracy mean: 0.877572 2021-02-04 23:57:02.735: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070573 2021-02-04 23:57:02.735: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826894 2021-02-04 23:57:02.735: INFO @log_variables: valid age_confidence/loss mean: 0.061545 2021-02-04 23:57:02.735: INFO @log_variables: valid age_confidence/accuracy mean: 0.640993 2021-02-04 23:57:02.735: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:57:02.736: INFO @metrics_hook: train age_mae: 9.312 +-0.157 (13807) 2021-02-04 23:57:02.738: INFO @metrics_hook: train gender_accuracy: 0.862 +-0.006 (13807) 2021-02-04 23:57:04.152: INFO @metrics_hook: valid age_mae: 8.744 +-0.268 (3986) 2021-02-04 23:57:04.152: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-04 23:57:05.402: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:57:05.402: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:57:05.402: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:57:05.402: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-04 23:57:05.481: INFO @evaluate_confidence: Previous accuracy would be: 86.23 2021-02-04 23:57:05.481: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:57:05.486: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.21, 92.48, 92.7, 93.02, 93.16, 93.33, 93.56, 93.77, 93.97, 94.12, 94.26, 94.49, 94.81, 95.02, 95.13, 95.26, 95.55, 95.86, 96.06, 96.17, 96.36, 96.57, 96.78] 2021-02-04 23:57:05.486: INFO @evaluate_confidence: Dropped ratios are: [26.09, 27.39, 28.63, 30.0, 31.19, 32.48, 33.58, 34.64, 35.87, 36.98, 38.29, 39.41, 40.7, 41.8, 42.9, 44.03, 45.21, 46.45, 47.66, 48.79, 49.82, 50.97, 52.33] 2021-02-04 23:57:05.492: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:57:05.492: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:57:05.492: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-04 23:57:05.492: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-04 23:57:05.581: INFO @evaluate_confidence: Previous accuracy would be: 41.21 2021-02-04 23:57:05.582: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:57:05.585: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.24, 54.47, 55.47, 56.7, 57.88, 59.01, 60.08, 61.53, 62.86, 64.45, 65.82, 67.14, 68.19] 2021-02-04 23:57:05.585: INFO @evaluate_confidence: Dropped ratios are: [48.95, 52.23, 55.24, 58.13, 60.92, 63.53, 65.81, 68.05, 70.01, 71.86, 73.35, 74.88, 76.27] 2021-02-04 23:57:05.586: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:57:05.587: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.78 +- 0.20 2021-02-04 23:57:05.587: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.16 2021-02-04 23:57:05.587: INFO @evaluate_confidence: Average confidence of all samples 0.75 +- 0.21 2021-02-04 23:57:05.655: INFO @evaluate_confidence: Previous accuracy would be: 87.76 2021-02-04 23:57:05.655: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77] 2021-02-04 23:57:05.656: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.03, 93.28, 93.63, 93.74, 94.01, 94.24, 94.46, 94.7, 94.79, 95.14, 95.6, 95.58, 95.67, 95.98, 96.29, 96.56, 96.58, 96.89, 97.01, 97.07, 97.23, 97.22, 97.42, 97.6] 2021-02-04 23:57:05.657: INFO @evaluate_confidence: Dropped ratios are: [20.12, 21.17, 22.4, 23.41, 24.56, 25.46, 26.19, 27.62, 28.68, 29.78, 31.51, 33.02, 33.97, 35.07, 36.35, 37.36, 38.41, 39.44, 40.49, 41.7, 42.88, 43.98, 45.46, 46.59] 2021-02-04 23:57:05.658: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:57:05.658: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:57:05.658: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:57:05.659: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-04 23:57:05.743: INFO @evaluate_confidence: Previous accuracy would be: 41.85 2021-02-04 23:57:05.743: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:57:05.744: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.51, 54.0, 55.24, 56.17, 57.71, 58.99, 60.19, 61.23, 61.32, 63.02] 2021-02-04 23:57:05.744: INFO @evaluate_confidence: Dropped ratios are: [52.61, 56.42, 59.31, 62.39, 65.35, 68.31, 70.45, 72.63, 74.96, 77.27] 2021-02-04 23:57:05.753: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:57:06.108: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:57:06.167: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:57:06.425: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:57:06.577: INFO @decay_lr : LR updated to `0.00012416036` 2021-02-04 23:57:06.578: INFO @log_profile : T train: 12.910839 2021-02-04 23:57:06.578: INFO @log_profile : T valid: 1.589010 2021-02-04 23:57:06.578: INFO @log_profile : T read data: 0.517005 2021-02-04 23:57:06.578: INFO @log_profile : T hooks: 4.431824 2021-02-04 23:57:06.578: INFO @main_loop : Epoch 176 done 2021-02-04 23:57:06.578: INFO @main_loop : Training epoch 177 2021-02-04 23:57:21.461: INFO @log_variables: train loss nanmean: 1.324198 2021-02-04 23:57:21.462: INFO @log_variables: train age_loss mean: 9.978520 2021-02-04 23:57:21.462: INFO @log_variables: train gender_loss mean: 0.317578 2021-02-04 23:57:21.462: INFO @log_variables: train age_mae mean: 9.383708 2021-02-04 23:57:21.462: INFO @log_variables: train gender_accuracy mean: 0.864366 2021-02-04 23:57:21.462: INFO @log_variables: train gender_confidence/loss nanmean: 0.072468 2021-02-04 23:57:21.462: INFO @log_variables: train gender_confidence/accuracy mean: 0.762514 2021-02-04 23:57:21.462: INFO @log_variables: train age_confidence/loss mean: 0.055885 2021-02-04 23:57:21.462: INFO @log_variables: train age_confidence/accuracy mean: 0.679326 2021-02-04 23:57:21.462: INFO @log_variables: valid loss nanmean: 1.270651 2021-02-04 23:57:21.462: INFO @log_variables: valid age_loss mean: 9.500299 2021-02-04 23:57:21.462: INFO @log_variables: valid gender_loss mean: 0.301336 2021-02-04 23:57:21.462: INFO @log_variables: valid age_mae mean: 8.900188 2021-02-04 23:57:21.462: INFO @log_variables: valid gender_accuracy mean: 0.873808 2021-02-04 23:57:21.462: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071405 2021-02-04 23:57:21.462: INFO @log_variables: valid gender_confidence/accuracy mean: 0.820120 2021-02-04 23:57:21.462: INFO @log_variables: valid age_confidence/loss mean: 0.061640 2021-02-04 23:57:21.462: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-04 23:57:21.463: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:57:21.464: INFO @metrics_hook: train age_mae: 9.384 +-0.155 (13824) 2021-02-04 23:57:21.466: INFO @metrics_hook: train gender_accuracy: 0.864 +-0.006 (13824) 2021-02-04 23:57:22.913: INFO @metrics_hook: valid age_mae: 8.900 +-0.277 (3986) 2021-02-04 23:57:22.913: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-04 23:57:24.320: INFO @decay_lr : LR updated to `0.00012353956` 2021-02-04 23:57:24.321: INFO @log_profile : T train: 12.455003 2021-02-04 23:57:24.321: INFO @log_profile : T valid: 1.405353 2021-02-04 23:57:24.321: INFO @log_profile : T read data: 0.400444 2021-02-04 23:57:24.321: INFO @log_profile : T hooks: 3.438190 2021-02-04 23:57:24.321: INFO @main_loop : Epoch 177 done 2021-02-04 23:57:24.321: INFO @main_loop : Training epoch 178 2021-02-04 23:57:39.139: INFO @log_variables: train loss nanmean: 1.301157 2021-02-04 23:57:39.139: INFO @log_variables: train age_loss mean: 9.874928 2021-02-04 23:57:39.139: INFO @log_variables: train gender_loss mean: 0.305057 2021-02-04 23:57:39.139: INFO @log_variables: train age_mae mean: 9.287151 2021-02-04 23:57:39.139: INFO @log_variables: train gender_accuracy mean: 0.866826 2021-02-04 23:57:39.139: INFO @log_variables: train gender_confidence/loss nanmean: 0.069938 2021-02-04 23:57:39.139: INFO @log_variables: train gender_confidence/accuracy mean: 0.773510 2021-02-04 23:57:39.139: INFO @log_variables: train age_confidence/loss mean: 0.056174 2021-02-04 23:57:39.140: INFO @log_variables: train age_confidence/accuracy mean: 0.679398 2021-02-04 23:57:39.140: INFO @log_variables: valid loss nanmean: 1.263708 2021-02-04 23:57:39.140: INFO @log_variables: valid age_loss mean: 9.485324 2021-02-04 23:57:39.140: INFO @log_variables: valid gender_loss mean: 0.293114 2021-02-04 23:57:39.140: INFO @log_variables: valid age_mae mean: 8.892517 2021-02-04 23:57:39.140: INFO @log_variables: valid gender_accuracy mean: 0.880080 2021-02-04 23:57:39.140: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074026 2021-02-04 23:57:39.140: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827396 2021-02-04 23:57:39.140: INFO @log_variables: valid age_confidence/loss mean: 0.060912 2021-02-04 23:57:39.140: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-04 23:57:39.140: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:57:39.142: INFO @metrics_hook: train age_mae: 9.287 +-0.153 (13824) 2021-02-04 23:57:39.143: INFO @metrics_hook: train gender_accuracy: 0.867 +-0.006 (13824) 2021-02-04 23:57:40.555: INFO @metrics_hook: valid age_mae: 8.893 +-0.275 (3986) 2021-02-04 23:57:40.555: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-04 23:57:41.837: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:57:41.837: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:57:41.837: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.16 2021-02-04 23:57:41.837: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-04 23:57:41.925: INFO @evaluate_confidence: Previous accuracy would be: 86.68 2021-02-04 23:57:41.925: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:57:41.931: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.6, 92.85, 93.08, 93.27, 93.5, 93.7, 93.93, 94.12, 94.38, 94.65, 94.82, 95.04, 95.31, 95.51, 95.71, 96.03, 96.3, 96.51, 96.63, 96.74, 96.81, 96.92, 97.14, 97.3] 2021-02-04 23:57:41.931: INFO @evaluate_confidence: Dropped ratios are: [23.99, 25.27, 26.4, 27.69, 28.9, 30.38, 31.52, 32.73, 34.06, 35.28, 36.38, 37.52, 38.74, 39.94, 41.1, 42.43, 43.69, 44.87, 45.86, 46.98, 48.06, 49.11, 50.16, 51.29] 2021-02-04 23:57:41.939: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:57:41.939: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:57:41.939: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-04 23:57:41.939: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-04 23:57:42.036: INFO @evaluate_confidence: Previous accuracy would be: 41.02 2021-02-04 23:57:42.036: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:57:42.039: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.24, 54.54, 56.0, 57.13, 58.35, 59.98, 61.28, 62.38, 63.89, 64.82, 66.38, 67.45, 68.28] 2021-02-04 23:57:42.040: INFO @evaluate_confidence: Dropped ratios are: [48.47, 51.87, 55.24, 58.19, 60.89, 63.34, 65.65, 67.68, 69.49, 71.2, 72.93, 74.33, 75.85] 2021-02-04 23:57:42.041: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:57:42.041: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-04 23:57:42.041: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.17 2021-02-04 23:57:42.041: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-04 23:57:42.112: INFO @evaluate_confidence: Previous accuracy would be: 88.01 2021-02-04 23:57:42.112: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-04 23:57:42.114: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.45, 93.6, 93.92, 93.99, 94.2, 94.37, 94.59, 94.73, 94.93, 95.09, 95.37, 95.56, 95.85, 96.05, 96.26, 96.25, 96.25, 96.51, 96.61, 96.8, 96.95, 97.15, 97.23, 97.31] 2021-02-04 23:57:42.114: INFO @evaluate_confidence: Dropped ratios are: [21.05, 22.03, 23.21, 24.03, 25.19, 26.07, 27.25, 28.15, 29.25, 30.06, 31.16, 32.26, 33.44, 34.57, 35.62, 36.45, 37.86, 38.89, 40.07, 41.17, 42.37, 43.68, 44.83, 45.99] 2021-02-04 23:57:42.115: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:57:42.115: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.19 2021-02-04 23:57:42.115: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:57:42.115: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.16 2021-02-04 23:57:42.202: INFO @evaluate_confidence: Previous accuracy would be: 41.55 2021-02-04 23:57:42.202: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48] 2021-02-04 23:57:42.203: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.15, 54.62, 55.36, 56.55, 57.0, 58.31, 59.74, 60.59, 61.05, 61.84] 2021-02-04 23:57:42.203: INFO @evaluate_confidence: Dropped ratios are: [52.61, 56.27, 59.53, 62.82, 65.58, 68.46, 71.15, 72.88, 74.56, 76.27] 2021-02-04 23:57:42.213: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:57:42.572: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:57:42.629: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:57:42.888: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:57:43.040: INFO @decay_lr : LR updated to `0.00012292186` 2021-02-04 23:57:43.041: INFO @log_profile : T train: 12.460691 2021-02-04 23:57:43.041: INFO @log_profile : T valid: 1.330252 2021-02-04 23:57:43.041: INFO @log_profile : T read data: 0.397910 2021-02-04 23:57:43.041: INFO @log_profile : T hooks: 4.483846 2021-02-04 23:57:43.041: INFO @main_loop : Epoch 178 done 2021-02-04 23:57:43.041: INFO @main_loop : Training epoch 179 2021-02-04 23:57:58.451: INFO @log_variables: train loss nanmean: 1.310027 2021-02-04 23:57:58.451: INFO @log_variables: train age_loss mean: 9.885244 2021-02-04 23:57:58.451: INFO @log_variables: train gender_loss mean: 0.314380 2021-02-04 23:57:58.451: INFO @log_variables: train age_mae mean: 9.296048 2021-02-04 23:57:58.451: INFO @log_variables: train gender_accuracy mean: 0.860868 2021-02-04 23:57:58.451: INFO @log_variables: train gender_confidence/loss nanmean: 0.069106 2021-02-04 23:57:58.451: INFO @log_variables: train gender_confidence/accuracy mean: 0.772072 2021-02-04 23:57:58.451: INFO @log_variables: train age_confidence/loss mean: 0.056462 2021-02-04 23:57:58.451: INFO @log_variables: train age_confidence/accuracy mean: 0.669950 2021-02-04 23:57:58.451: INFO @log_variables: valid loss nanmean: 1.245747 2021-02-04 23:57:58.451: INFO @log_variables: valid age_loss mean: 9.320734 2021-02-04 23:57:58.451: INFO @log_variables: valid gender_loss mean: 0.289497 2021-02-04 23:57:58.451: INFO @log_variables: valid age_mae mean: 8.732125 2021-02-04 23:57:58.451: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-04 23:57:58.451: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073966 2021-02-04 23:57:58.452: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834671 2021-02-04 23:57:58.452: INFO @log_variables: valid age_confidence/loss mean: 0.061263 2021-02-04 23:57:58.452: INFO @log_variables: valid age_confidence/accuracy mean: 0.644255 2021-02-04 23:57:58.452: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:57:58.453: INFO @metrics_hook: train age_mae: 9.296 +-0.156 (13807) 2021-02-04 23:57:58.455: INFO @metrics_hook: train gender_accuracy: 0.861 +-0.006 (13807) 2021-02-04 23:57:59.843: INFO @metrics_hook: valid age_mae: 8.732 +-0.267 (3986) 2021-02-04 23:57:59.843: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-04 23:58:01.152: INFO @decay_lr : LR updated to `0.00012230725` 2021-02-04 23:58:01.153: INFO @log_profile : T train: 12.771636 2021-02-04 23:58:01.153: INFO @log_profile : T valid: 1.513858 2021-02-04 23:58:01.153: INFO @log_profile : T read data: 0.503412 2021-02-04 23:58:01.153: INFO @log_profile : T hooks: 3.276506 2021-02-04 23:58:01.153: INFO @main_loop : Epoch 179 done 2021-02-04 23:58:01.153: INFO @main_loop : Training epoch 180 2021-02-04 23:58:17.298: INFO @log_variables: train loss nanmean: 1.291120 2021-02-04 23:58:17.298: INFO @log_variables: train age_loss mean: 9.733380 2021-02-04 23:58:17.299: INFO @log_variables: train gender_loss mean: 0.306979 2021-02-04 23:58:17.299: INFO @log_variables: train age_mae mean: 9.148184 2021-02-04 23:58:17.299: INFO @log_variables: train gender_accuracy mean: 0.867983 2021-02-04 23:58:17.299: INFO @log_variables: train gender_confidence/loss nanmean: 0.070714 2021-02-04 23:58:17.299: INFO @log_variables: train gender_confidence/accuracy mean: 0.771701 2021-02-04 23:58:17.299: INFO @log_variables: train age_confidence/loss mean: 0.056482 2021-02-04 23:58:17.299: INFO @log_variables: train age_confidence/accuracy mean: 0.676866 2021-02-04 23:58:17.299: INFO @log_variables: valid loss nanmean: 1.242951 2021-02-04 23:58:17.299: INFO @log_variables: valid age_loss mean: 9.349265 2021-02-04 23:58:17.299: INFO @log_variables: valid gender_loss mean: 0.284179 2021-02-04 23:58:17.299: INFO @log_variables: valid age_mae mean: 8.752889 2021-02-04 23:58:17.299: INFO @log_variables: valid gender_accuracy mean: 0.881836 2021-02-04 23:58:17.299: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072511 2021-02-04 23:58:17.299: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837180 2021-02-04 23:58:17.299: INFO @log_variables: valid age_confidence/loss mean: 0.062161 2021-02-04 23:58:17.299: INFO @log_variables: valid age_confidence/accuracy mean: 0.632464 2021-02-04 23:58:17.299: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:58:17.301: INFO @metrics_hook: train age_mae: 9.148 +-0.153 (13824) 2021-02-04 23:58:17.303: INFO @metrics_hook: train gender_accuracy: 0.868 +-0.006 (13824) 2021-02-04 23:58:18.709: INFO @metrics_hook: valid age_mae: 8.753 +-0.270 (3986) 2021-02-04 23:58:18.709: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-04 23:58:19.949: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:58:19.949: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:58:19.949: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-04 23:58:19.949: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-04 23:58:20.030: INFO @evaluate_confidence: Previous accuracy would be: 86.80 2021-02-04 23:58:20.030: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:58:20.035: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.64, 92.84, 93.06, 93.35, 93.47, 93.71, 93.84, 93.99, 94.15, 94.41, 94.58, 94.71, 94.89, 95.06, 95.26, 95.46, 95.7, 95.88, 95.98, 96.12, 96.35, 96.58, 96.7, 96.9] 2021-02-04 23:58:20.035: INFO @evaluate_confidence: Dropped ratios are: [24.25, 25.34, 26.36, 27.55, 28.83, 30.1, 31.21, 32.23, 33.42, 34.5, 35.57, 36.73, 37.8, 39.07, 40.38, 41.38, 42.65, 43.61, 44.81, 45.9, 47.04, 48.2, 49.32, 50.54] 2021-02-04 23:58:20.041: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:58:20.041: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-04 23:58:20.041: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.11 2021-02-04 23:58:20.041: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-04 23:58:20.134: INFO @evaluate_confidence: Previous accuracy would be: 41.81 2021-02-04 23:58:20.134: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-04 23:58:20.138: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.0, 55.4, 56.58, 57.88, 59.23, 60.46, 62.06, 63.25, 64.43, 65.78, 67.17, 68.43, 69.71, 70.77] 2021-02-04 23:58:20.138: INFO @evaluate_confidence: Dropped ratios are: [48.7, 51.9, 55.32, 57.89, 60.73, 63.19, 65.45, 67.54, 69.55, 71.31, 72.89, 74.23, 75.64, 77.11] 2021-02-04 23:58:20.139: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:58:20.139: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-04 23:58:20.139: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-04 23:58:20.139: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-04 23:58:20.213: INFO @evaluate_confidence: Previous accuracy would be: 88.18 2021-02-04 23:58:20.213: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-04 23:58:20.215: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.82, 94.12, 94.22, 94.35, 94.45, 94.61, 94.77, 94.98, 95.05, 95.22, 95.36, 95.52, 95.64, 95.91, 96.08, 96.13, 96.53, 96.85, 97.0, 97.21, 97.49, 97.62, 97.7, 97.67] 2021-02-04 23:58:20.215: INFO @evaluate_confidence: Dropped ratios are: [20.45, 21.48, 22.33, 23.21, 24.54, 25.51, 26.54, 27.52, 28.47, 29.63, 30.78, 31.64, 32.71, 33.82, 35.32, 36.48, 37.91, 39.56, 40.72, 41.52, 43.0, 44.2, 45.36, 46.11] 2021-02-04 23:58:20.217: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:58:20.217: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-04 23:58:20.217: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-04 23:58:20.217: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-04 23:58:20.317: INFO @evaluate_confidence: Previous accuracy would be: 42.65 2021-02-04 23:58:20.317: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-04 23:58:20.318: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.54, 54.87, 56.25, 57.3, 58.68, 60.26, 61.45, 62.24, 63.08, 63.22] 2021-02-04 23:58:20.318: INFO @evaluate_confidence: Dropped ratios are: [52.16, 55.69, 59.46, 63.05, 66.48, 68.94, 71.3, 73.96, 75.74, 77.7] 2021-02-04 23:58:20.328: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:58:20.679: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:20.743: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:58:21.004: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:21.061: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:58:21.405: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:21.464: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:58:21.465: INFO @evaluate_gender-age_model: groups 0 6.147020 1 10.101063 2 9.839780 3 8.525584 4 8.740466 5 9.937096 6 10.113798 7 9.529583 Name: errors, dtype: float64 2021-02-04 23:58:21.465: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:58:21.717: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:21.771: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-04 23:58:21.772: INFO @evaluate_gender-age_model: groups 0 6.884493 1 8.850785 2 8.155588 3 7.573397 4 9.125092 5 9.896546 6 10.151915 7 9.106270 Name: errors, dtype: float64 2021-02-04 23:58:21.864: INFO @decay_lr : LR updated to `0.00012169571` 2021-02-04 23:58:21.865: INFO @log_profile : T train: 12.907433 2021-02-04 23:58:21.865: INFO @log_profile : T valid: 1.614205 2021-02-04 23:58:21.865: INFO @log_profile : T read data: 0.400776 2021-02-04 23:58:21.865: INFO @log_profile : T hooks: 5.741508 2021-02-04 23:58:21.865: INFO @main_loop : Epoch 180 done 2021-02-04 23:58:21.865: INFO @main_loop : Training epoch 181 2021-02-04 23:58:37.390: INFO @log_variables: train loss nanmean: 1.293976 2021-02-04 23:58:37.390: INFO @log_variables: train age_loss mean: 9.797597 2021-02-04 23:58:37.390: INFO @log_variables: train gender_loss mean: 0.304972 2021-02-04 23:58:37.391: INFO @log_variables: train age_mae mean: 9.210845 2021-02-04 23:58:37.391: INFO @log_variables: train gender_accuracy mean: 0.865731 2021-02-04 23:58:37.391: INFO @log_variables: train gender_confidence/loss nanmean: 0.070039 2021-02-04 23:58:37.391: INFO @log_variables: train gender_confidence/accuracy mean: 0.774940 2021-02-04 23:58:37.391: INFO @log_variables: train age_confidence/loss mean: 0.055998 2021-02-04 23:58:37.391: INFO @log_variables: train age_confidence/accuracy mean: 0.682775 2021-02-04 23:58:37.391: INFO @log_variables: valid loss nanmean: 1.239239 2021-02-04 23:58:37.391: INFO @log_variables: valid age_loss mean: 9.270212 2021-02-04 23:58:37.391: INFO @log_variables: valid gender_loss mean: 0.289510 2021-02-04 23:58:37.391: INFO @log_variables: valid age_mae mean: 8.673326 2021-02-04 23:58:37.391: INFO @log_variables: valid gender_accuracy mean: 0.877321 2021-02-04 23:58:37.391: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070738 2021-02-04 23:58:37.391: INFO @log_variables: valid gender_confidence/accuracy mean: 0.823382 2021-02-04 23:58:37.391: INFO @log_variables: valid age_confidence/loss mean: 0.062563 2021-02-04 23:58:37.391: INFO @log_variables: valid age_confidence/accuracy mean: 0.636979 2021-02-04 23:58:37.391: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:58:37.393: INFO @metrics_hook: train age_mae: 9.211 +-0.153 (13823) 2021-02-04 23:58:37.395: INFO @metrics_hook: train gender_accuracy: 0.866 +-0.006 (13823) 2021-02-04 23:58:38.827: INFO @metrics_hook: valid age_mae: 8.673 +-0.270 (3986) 2021-02-04 23:58:38.827: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-04 23:58:40.178: INFO @decay_lr : LR updated to `0.00012108723` 2021-02-04 23:58:40.179: INFO @log_profile : T train: 12.896533 2021-02-04 23:58:40.179: INFO @log_profile : T valid: 1.593696 2021-02-04 23:58:40.179: INFO @log_profile : T read data: 0.397467 2021-02-04 23:58:40.179: INFO @log_profile : T hooks: 3.378215 2021-02-04 23:58:40.179: INFO @main_loop : Epoch 181 done 2021-02-04 23:58:40.179: INFO @main_loop : Training epoch 182 2021-02-04 23:58:55.890: INFO @log_variables: train loss nanmean: 1.313079 2021-02-04 23:58:55.890: INFO @log_variables: train age_loss mean: 9.867678 2021-02-04 23:58:55.891: INFO @log_variables: train gender_loss mean: 0.316513 2021-02-04 23:58:55.891: INFO @log_variables: train age_mae mean: 9.280143 2021-02-04 23:58:55.891: INFO @log_variables: train gender_accuracy mean: 0.864417 2021-02-04 23:58:55.891: INFO @log_variables: train gender_confidence/loss nanmean: 0.071944 2021-02-04 23:58:55.891: INFO @log_variables: train gender_confidence/accuracy mean: 0.765626 2021-02-04 23:58:55.891: INFO @log_variables: train age_confidence/loss mean: 0.056334 2021-02-04 23:58:55.891: INFO @log_variables: train age_confidence/accuracy mean: 0.676541 2021-02-04 23:58:55.891: INFO @log_variables: valid loss nanmean: 1.247572 2021-02-04 23:58:55.891: INFO @log_variables: valid age_loss mean: 9.354508 2021-02-04 23:58:55.891: INFO @log_variables: valid gender_loss mean: 0.289589 2021-02-04 23:58:55.891: INFO @log_variables: valid age_mae mean: 8.756345 2021-02-04 23:58:55.891: INFO @log_variables: valid gender_accuracy mean: 0.878575 2021-02-04 23:58:55.891: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071657 2021-02-04 23:58:55.891: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833166 2021-02-04 23:58:55.891: INFO @log_variables: valid age_confidence/loss mean: 0.062242 2021-02-04 23:58:55.891: INFO @log_variables: valid age_confidence/accuracy mean: 0.637230 2021-02-04 23:58:55.891: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:58:55.893: INFO @metrics_hook: train age_mae: 9.280 +-0.155 (13807) 2021-02-04 23:58:55.895: INFO @metrics_hook: train gender_accuracy: 0.864 +-0.006 (13807) 2021-02-04 23:58:57.357: INFO @metrics_hook: valid age_mae: 8.756 +-0.269 (3986) 2021-02-04 23:58:57.358: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-04 23:58:58.624: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:58:58.624: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:58:58.624: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-04 23:58:58.624: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-04 23:58:58.708: INFO @evaluate_confidence: Previous accuracy would be: 86.44 2021-02-04 23:58:58.708: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:58:58.713: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.25, 92.43, 92.63, 92.82, 93.18, 93.4, 93.68, 93.89, 94.05, 94.3, 94.49, 94.67, 94.74, 94.98, 95.15, 95.26, 95.52, 95.71, 95.9, 96.09, 96.28, 96.39, 96.61, 96.65] 2021-02-04 23:58:58.713: INFO @evaluate_confidence: Dropped ratios are: [24.35, 25.76, 26.99, 28.27, 29.46, 30.59, 31.83, 33.0, 34.31, 35.54, 36.68, 37.81, 38.94, 40.3, 41.44, 42.53, 43.69, 44.94, 46.16, 47.36, 48.37, 49.47, 50.87, 52.03] 2021-02-04 23:58:58.719: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:58:58.719: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-04 23:58:58.719: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-04 23:58:58.719: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.18 2021-02-04 23:58:58.814: INFO @evaluate_confidence: Previous accuracy would be: 41.04 2021-02-04 23:58:58.814: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:58:58.818: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.78, 54.85, 56.05, 57.37, 58.96, 59.96, 61.38, 62.42, 63.71, 64.81, 65.79, 66.99, 67.89] 2021-02-04 23:58:58.818: INFO @evaluate_confidence: Dropped ratios are: [50.14, 53.41, 56.35, 59.02, 61.67, 63.8, 65.96, 67.95, 69.7, 71.33, 72.94, 74.42, 76.02] 2021-02-04 23:58:58.819: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:58:58.820: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-04 23:58:58.820: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.17 2021-02-04 23:58:58.820: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.20 2021-02-04 23:58:58.893: INFO @evaluate_confidence: Previous accuracy would be: 87.86 2021-02-04 23:58:58.894: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-04 23:58:58.895: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.17, 93.42, 93.76, 93.89, 94.09, 94.37, 94.49, 94.57, 94.75, 94.85, 94.95, 95.19, 95.56, 95.77, 95.94, 96.15, 96.45, 96.74, 96.93, 97.04, 97.13, 97.26, 97.34, 97.51, 97.64] 2021-02-04 23:58:58.896: INFO @evaluate_confidence: Dropped ratios are: [20.32, 21.4, 22.45, 23.58, 24.49, 25.64, 26.69, 27.92, 28.83, 29.9, 31.01, 32.19, 33.37, 34.8, 35.67, 36.83, 37.78, 39.14, 40.27, 41.45, 42.4, 44.08, 45.36, 46.66, 47.82] 2021-02-04 23:58:58.897: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:58:58.897: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.48 +- 0.19 2021-02-04 23:58:58.897: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-04 23:58:58.898: INFO @evaluate_confidence: Average confidence of all samples 0.43 +- 0.16 2021-02-04 23:58:58.986: INFO @evaluate_confidence: Previous accuracy would be: 41.97 2021-02-04 23:58:58.987: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47] 2021-02-04 23:58:58.987: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.81, 55.37, 56.67, 56.93, 58.34, 59.45, 59.98, 60.97] 2021-02-04 23:58:58.987: INFO @evaluate_confidence: Dropped ratios are: [54.92, 58.91, 61.84, 64.7, 67.36, 69.74, 72.35, 74.03] 2021-02-04 23:58:58.997: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:58:59.355: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:59.408: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:58:59.661: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:58:59.810: INFO @decay_lr : LR updated to `0.00012048179` 2021-02-04 23:58:59.811: INFO @log_profile : T train: 12.928075 2021-02-04 23:58:59.811: INFO @log_profile : T valid: 1.643168 2021-02-04 23:58:59.811: INFO @log_profile : T read data: 0.491400 2021-02-04 23:58:59.811: INFO @log_profile : T hooks: 4.520941 2021-02-04 23:58:59.811: INFO @main_loop : Epoch 182 done 2021-02-04 23:58:59.811: INFO @main_loop : Training epoch 183 2021-02-04 23:59:15.429: INFO @log_variables: train loss nanmean: 1.304138 2021-02-04 23:59:15.429: INFO @log_variables: train age_loss mean: 9.747092 2021-02-04 23:59:15.429: INFO @log_variables: train gender_loss mean: 0.319236 2021-02-04 23:59:15.429: INFO @log_variables: train age_mae mean: 9.160825 2021-02-04 23:59:15.429: INFO @log_variables: train gender_accuracy mean: 0.857050 2021-02-04 23:59:15.429: INFO @log_variables: train gender_confidence/loss nanmean: 0.070780 2021-02-04 23:59:15.429: INFO @log_variables: train gender_confidence/accuracy mean: 0.766331 2021-02-04 23:59:15.430: INFO @log_variables: train age_confidence/loss mean: 0.057044 2021-02-04 23:59:15.430: INFO @log_variables: train age_confidence/accuracy mean: 0.669753 2021-02-04 23:59:15.430: INFO @log_variables: valid loss nanmean: 1.236865 2021-02-04 23:59:15.430: INFO @log_variables: valid age_loss mean: 9.279493 2021-02-04 23:59:15.430: INFO @log_variables: valid gender_loss mean: 0.288019 2021-02-04 23:59:15.430: INFO @log_variables: valid age_mae mean: 8.686569 2021-02-04 23:59:15.430: INFO @log_variables: valid gender_accuracy mean: 0.877070 2021-02-04 23:59:15.430: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069553 2021-02-04 23:59:15.430: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827145 2021-02-04 23:59:15.430: INFO @log_variables: valid age_confidence/loss mean: 0.061887 2021-02-04 23:59:15.430: INFO @log_variables: valid age_confidence/accuracy mean: 0.634972 2021-02-04 23:59:15.430: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:59:15.431: INFO @metrics_hook: train age_mae: 9.161 +-0.154 (13823) 2021-02-04 23:59:15.433: INFO @metrics_hook: train gender_accuracy: 0.857 +-0.006 (13823) 2021-02-04 23:59:16.962: INFO @metrics_hook: valid age_mae: 8.687 +-0.271 (3986) 2021-02-04 23:59:16.963: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-04 23:59:18.356: INFO @decay_lr : LR updated to `0.00011987938` 2021-02-04 23:59:18.357: INFO @log_profile : T train: 12.972859 2021-02-04 23:59:18.357: INFO @log_profile : T valid: 1.617153 2021-02-04 23:59:18.357: INFO @log_profile : T read data: 0.394551 2021-02-04 23:59:18.357: INFO @log_profile : T hooks: 3.513894 2021-02-04 23:59:18.357: INFO @main_loop : Epoch 183 done 2021-02-04 23:59:18.357: INFO @main_loop : Training epoch 184 2021-02-04 23:59:33.984: INFO @log_variables: train loss nanmean: 1.280618 2021-02-04 23:59:33.984: INFO @log_variables: train age_loss mean: 9.683351 2021-02-04 23:59:33.984: INFO @log_variables: train gender_loss mean: 0.299232 2021-02-04 23:59:33.984: INFO @log_variables: train age_mae mean: 9.100258 2021-02-04 23:59:33.984: INFO @log_variables: train gender_accuracy mean: 0.873626 2021-02-04 23:59:33.984: INFO @log_variables: train gender_confidence/loss nanmean: 0.071476 2021-02-04 23:59:33.984: INFO @log_variables: train gender_confidence/accuracy mean: 0.768953 2021-02-04 23:59:33.984: INFO @log_variables: train age_confidence/loss mean: 0.056808 2021-02-04 23:59:33.984: INFO @log_variables: train age_confidence/accuracy mean: 0.676288 2021-02-04 23:59:33.984: INFO @log_variables: valid loss nanmean: 1.244447 2021-02-04 23:59:33.984: INFO @log_variables: valid age_loss mean: 9.358493 2021-02-04 23:59:33.984: INFO @log_variables: valid gender_loss mean: 0.283897 2021-02-04 23:59:33.984: INFO @log_variables: valid age_mae mean: 8.762679 2021-02-04 23:59:33.984: INFO @log_variables: valid gender_accuracy mean: 0.884094 2021-02-04 23:59:33.984: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073493 2021-02-04 23:59:33.984: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830908 2021-02-04 23:59:33.985: INFO @log_variables: valid age_confidence/loss mean: 0.062094 2021-02-04 23:59:33.985: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-04 23:59:33.985: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:59:33.986: INFO @metrics_hook: train age_mae: 9.100 +-0.154 (13824) 2021-02-04 23:59:33.988: INFO @metrics_hook: train gender_accuracy: 0.874 +-0.006 (13824) 2021-02-04 23:59:35.408: INFO @metrics_hook: valid age_mae: 8.763 +-0.276 (3986) 2021-02-04 23:59:35.409: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-04 23:59:36.658: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:59:36.658: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-04 23:59:36.658: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-04 23:59:36.658: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-04 23:59:36.743: INFO @evaluate_confidence: Previous accuracy would be: 87.36 2021-02-04 23:59:36.743: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-04 23:59:36.749: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.78, 92.97, 93.26, 93.54, 93.78, 94.09, 94.17, 94.27, 94.45, 94.67, 94.93, 95.1, 95.29, 95.52, 95.71, 95.8, 96.0, 96.23, 96.44, 96.56, 96.68, 96.9, 97.1] 2021-02-04 23:59:36.749: INFO @evaluate_confidence: Dropped ratios are: [24.89, 26.11, 27.38, 28.7, 29.96, 31.21, 32.18, 33.33, 34.44, 35.66, 36.84, 37.96, 39.05, 40.21, 41.33, 42.37, 43.54, 44.71, 45.81, 47.01, 48.21, 49.44, 50.56] 2021-02-04 23:59:36.758: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:59:36.758: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-04 23:59:36.758: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-04 23:59:36.758: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-04 23:59:36.850: INFO @evaluate_confidence: Previous accuracy would be: 42.34 2021-02-04 23:59:36.850: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-04 23:59:36.853: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.44, 56.9, 58.1, 59.56, 61.08, 62.67, 64.17, 65.22, 66.38, 67.4, 68.66, 70.01, 71.45] 2021-02-04 23:59:36.853: INFO @evaluate_confidence: Dropped ratios are: [50.84, 53.79, 56.71, 59.35, 62.07, 64.37, 66.41, 68.42, 70.18, 71.87, 73.31, 74.87, 76.33] 2021-02-04 23:59:36.855: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-04 23:59:36.855: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-04 23:59:36.855: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-04 23:59:36.855: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-04 23:59:36.927: INFO @evaluate_confidence: Previous accuracy would be: 88.41 2021-02-04 23:59:36.928: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-04 23:59:36.930: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.23, 93.41, 93.57, 93.97, 94.28, 94.6, 94.72, 94.83, 95.14, 95.44, 95.75, 95.83, 96.05, 96.22, 96.46, 96.57, 96.73, 97.0, 97.21, 97.38, 97.5, 97.58, 97.75, 97.94] 2021-02-04 23:59:36.930: INFO @evaluate_confidence: Dropped ratios are: [20.7, 21.9, 23.13, 24.26, 25.06, 26.12, 26.79, 27.65, 28.8, 30.18, 31.46, 32.66, 33.89, 34.95, 36.15, 37.13, 38.59, 39.74, 40.69, 41.65, 42.85, 44.08, 45.26, 46.36] 2021-02-04 23:59:36.933: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-04 23:59:36.933: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-04 23:59:36.933: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-04 23:59:36.933: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-04 23:59:37.025: INFO @evaluate_confidence: Previous accuracy would be: 43.10 2021-02-04 23:59:37.025: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-04 23:59:37.026: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.73, 54.82, 55.87, 57.25, 58.21, 60.31, 61.91, 63.02, 63.48, 63.97] 2021-02-04 23:59:37.026: INFO @evaluate_confidence: Dropped ratios are: [52.23, 55.52, 58.96, 62.09, 64.7, 67.76, 70.1, 72.05, 74.31, 75.84] 2021-02-04 23:59:37.037: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-04 23:59:37.395: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:59:37.464: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-04 23:59:37.731: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-04 23:59:37.880: INFO @decay_lr : LR updated to `0.00011927999` 2021-02-04 23:59:37.881: INFO @log_profile : T train: 12.937192 2021-02-04 23:59:37.881: INFO @log_profile : T valid: 1.643018 2021-02-04 23:59:37.881: INFO @log_profile : T read data: 0.403104 2021-02-04 23:59:37.881: INFO @log_profile : T hooks: 4.491835 2021-02-04 23:59:37.881: INFO @main_loop : Epoch 184 done 2021-02-04 23:59:37.882: INFO @main_loop : Training epoch 185 2021-02-04 23:59:53.370: INFO @log_variables: train loss nanmean: 1.293220 2021-02-04 23:59:53.370: INFO @log_variables: train age_loss mean: 9.672661 2021-02-04 23:59:53.370: INFO @log_variables: train gender_loss mean: 0.313610 2021-02-04 23:59:53.370: INFO @log_variables: train age_mae mean: 9.088343 2021-02-04 23:59:53.370: INFO @log_variables: train gender_accuracy mean: 0.866300 2021-02-04 23:59:53.370: INFO @log_variables: train gender_confidence/loss nanmean: 0.071600 2021-02-04 23:59:53.370: INFO @log_variables: train gender_confidence/accuracy mean: 0.762874 2021-02-04 23:59:53.371: INFO @log_variables: train age_confidence/loss mean: 0.057187 2021-02-04 23:59:53.371: INFO @log_variables: train age_confidence/accuracy mean: 0.669588 2021-02-04 23:59:53.371: INFO @log_variables: valid loss nanmean: 1.243069 2021-02-04 23:59:53.371: INFO @log_variables: valid age_loss mean: 9.317639 2021-02-04 23:59:53.371: INFO @log_variables: valid gender_loss mean: 0.288414 2021-02-04 23:59:53.371: INFO @log_variables: valid age_mae mean: 8.725531 2021-02-04 23:59:53.371: INFO @log_variables: valid gender_accuracy mean: 0.882338 2021-02-04 23:59:53.371: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071672 2021-02-04 23:59:53.371: INFO @log_variables: valid gender_confidence/accuracy mean: 0.828399 2021-02-04 23:59:53.371: INFO @log_variables: valid age_confidence/loss mean: 0.062144 2021-02-04 23:59:53.371: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-04 23:59:53.371: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-04 23:59:53.373: INFO @metrics_hook: train age_mae: 9.088 +-0.152 (13807) 2021-02-04 23:59:53.374: INFO @metrics_hook: train gender_accuracy: 0.866 +-0.006 (13807) 2021-02-04 23:59:54.779: INFO @metrics_hook: valid age_mae: 8.726 +-0.269 (3986) 2021-02-04 23:59:54.780: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-04 23:59:56.131: INFO @decay_lr : LR updated to `0.00011868359` 2021-02-04 23:59:56.132: INFO @log_profile : T train: 12.764535 2021-02-04 23:59:56.132: INFO @log_profile : T valid: 1.578369 2021-02-04 23:59:56.132: INFO @log_profile : T read data: 0.499633 2021-02-04 23:59:56.132: INFO @log_profile : T hooks: 3.359565 2021-02-04 23:59:56.132: INFO @main_loop : Epoch 185 done 2021-02-04 23:59:56.132: INFO @main_loop : Training epoch 186 2021-02-05 00:00:11.721: INFO @log_variables: train loss nanmean: 1.266607 2021-02-05 00:00:11.721: INFO @log_variables: train age_loss mean: 9.571620 2021-02-05 00:00:11.721: INFO @log_variables: train gender_loss mean: 0.296429 2021-02-05 00:00:11.721: INFO @log_variables: train age_mae mean: 8.993776 2021-02-05 00:00:11.721: INFO @log_variables: train gender_accuracy mean: 0.873264 2021-02-05 00:00:11.721: INFO @log_variables: train gender_confidence/loss nanmean: 0.070119 2021-02-05 00:00:11.721: INFO @log_variables: train gender_confidence/accuracy mean: 0.770327 2021-02-05 00:00:11.721: INFO @log_variables: train age_confidence/loss mean: 0.056860 2021-02-05 00:00:11.721: INFO @log_variables: train age_confidence/accuracy mean: 0.671079 2021-02-05 00:00:11.721: INFO @log_variables: valid loss nanmean: 1.279868 2021-02-05 00:00:11.721: INFO @log_variables: valid age_loss mean: 9.545864 2021-02-05 00:00:11.721: INFO @log_variables: valid gender_loss mean: 0.305248 2021-02-05 00:00:11.721: INFO @log_variables: valid age_mae mean: 8.950500 2021-02-05 00:00:11.721: INFO @log_variables: valid gender_accuracy mean: 0.875063 2021-02-05 00:00:11.721: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073791 2021-02-05 00:00:11.722: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836929 2021-02-05 00:00:11.722: INFO @log_variables: valid age_confidence/loss mean: 0.060772 2021-02-05 00:00:11.722: INFO @log_variables: valid age_confidence/accuracy mean: 0.640743 2021-02-05 00:00:11.722: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:00:11.723: INFO @metrics_hook: train age_mae: 8.994 +-0.152 (13824) 2021-02-05 00:00:11.725: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13824) 2021-02-05 00:00:13.143: INFO @metrics_hook: valid age_mae: 8.950 +-0.276 (3986) 2021-02-05 00:00:13.144: INFO @metrics_hook: valid gender_accuracy: 0.875 +-0.010 (3986) 2021-02-05 00:00:14.411: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:00:14.411: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:00:14.411: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:00:14.411: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:00:14.488: INFO @evaluate_confidence: Previous accuracy would be: 87.33 2021-02-05 00:00:14.488: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:00:14.494: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.95, 93.19, 93.4, 93.67, 93.82, 94.01, 94.27, 94.51, 94.73, 94.91, 95.07, 95.23, 95.44, 95.57, 95.75, 95.91, 96.02, 96.19, 96.36, 96.55, 96.68, 96.85, 96.96, 97.09, 97.21] 2021-02-05 00:00:14.494: INFO @evaluate_confidence: Dropped ratios are: [24.32, 25.5, 26.5, 27.77, 28.77, 29.92, 31.11, 32.21, 33.51, 34.59, 35.77, 36.86, 38.01, 39.2, 40.26, 41.5, 42.64, 43.63, 44.6, 45.65, 46.64, 47.89, 49.05, 50.33, 51.31] 2021-02-05 00:00:14.499: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:00:14.499: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:00:14.500: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:00:14.500: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:00:14.587: INFO @evaluate_confidence: Previous accuracy would be: 42.41 2021-02-05 00:00:14.587: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:00:14.591: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.42, 56.87, 57.83, 59.38, 60.79, 61.89, 63.04, 64.23, 65.6, 66.89, 67.64, 68.62, 69.87] 2021-02-05 00:00:14.591: INFO @evaluate_confidence: Dropped ratios are: [49.75, 52.72, 55.64, 58.43, 60.93, 63.48, 65.45, 67.5, 69.47, 71.44, 73.0, 74.44, 75.75] 2021-02-05 00:00:14.592: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:00:14.592: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:00:14.592: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.17 2021-02-05 00:00:14.592: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.20 2021-02-05 00:00:14.660: INFO @evaluate_confidence: Previous accuracy would be: 87.51 2021-02-05 00:00:14.660: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:00:14.661: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.39, 92.68, 93.04, 93.3, 93.45, 93.8, 94.13, 94.37, 94.59, 94.86, 95.06, 95.34, 95.52, 95.72, 95.9, 96.02, 96.41, 96.6, 96.81, 96.88, 97.17, 97.33, 97.32, 97.39] 2021-02-05 00:00:14.662: INFO @evaluate_confidence: Dropped ratios are: [20.6, 21.83, 22.91, 24.03, 24.94, 25.94, 26.97, 27.87, 29.05, 30.18, 31.44, 32.71, 33.89, 34.92, 35.83, 36.95, 38.48, 39.56, 40.97, 42.07, 43.23, 44.48, 45.76, 47.09] 2021-02-05 00:00:14.663: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:00:14.663: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-05 00:00:14.663: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-05 00:00:14.663: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-05 00:00:14.749: INFO @evaluate_confidence: Previous accuracy would be: 42.05 2021-02-05 00:00:14.749: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-05 00:00:14.750: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.49, 54.27, 54.86, 56.04, 57.47, 58.94, 59.98, 61.09, 61.53, 62.15] 2021-02-05 00:00:14.750: INFO @evaluate_confidence: Dropped ratios are: [50.1, 53.54, 57.15, 60.96, 63.72, 66.76, 69.72, 71.83, 73.78, 75.21] 2021-02-05 00:00:14.760: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:00:15.124: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:00:15.181: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:00:15.431: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:00:15.584: INFO @decay_lr : LR updated to `0.00011809017` 2021-02-05 00:00:15.585: INFO @log_profile : T train: 12.984923 2021-02-05 00:00:15.585: INFO @log_profile : T valid: 1.559353 2021-02-05 00:00:15.585: INFO @log_profile : T read data: 0.399150 2021-02-05 00:00:15.585: INFO @log_profile : T hooks: 4.460416 2021-02-05 00:00:15.585: INFO @main_loop : Epoch 186 done 2021-02-05 00:00:15.585: INFO @main_loop : Training epoch 187 2021-02-05 00:00:31.073: INFO @log_variables: train loss nanmean: 1.282756 2021-02-05 00:00:31.073: INFO @log_variables: train age_loss mean: 9.739637 2021-02-05 00:00:31.073: INFO @log_variables: train gender_loss mean: 0.298259 2021-02-05 00:00:31.073: INFO @log_variables: train age_mae mean: 9.154131 2021-02-05 00:00:31.073: INFO @log_variables: train gender_accuracy mean: 0.871600 2021-02-05 00:00:31.073: INFO @log_variables: train gender_confidence/loss nanmean: 0.070115 2021-02-05 00:00:31.073: INFO @log_variables: train gender_confidence/accuracy mean: 0.775318 2021-02-05 00:00:31.073: INFO @log_variables: train age_confidence/loss mean: 0.056074 2021-02-05 00:00:31.073: INFO @log_variables: train age_confidence/accuracy mean: 0.682581 2021-02-05 00:00:31.073: INFO @log_variables: valid loss nanmean: 1.248795 2021-02-05 00:00:31.073: INFO @log_variables: valid age_loss mean: 9.354503 2021-02-05 00:00:31.073: INFO @log_variables: valid gender_loss mean: 0.288030 2021-02-05 00:00:31.074: INFO @log_variables: valid age_mae mean: 8.763469 2021-02-05 00:00:31.074: INFO @log_variables: valid gender_accuracy mean: 0.885600 2021-02-05 00:00:31.074: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074730 2021-02-05 00:00:31.074: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843954 2021-02-05 00:00:31.074: INFO @log_variables: valid age_confidence/loss mean: 0.061810 2021-02-05 00:00:31.074: INFO @log_variables: valid age_confidence/accuracy mean: 0.628700 2021-02-05 00:00:31.074: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:00:31.076: INFO @metrics_hook: train age_mae: 9.154 +-0.154 (13824) 2021-02-05 00:00:31.077: INFO @metrics_hook: train gender_accuracy: 0.872 +-0.006 (13824) 2021-02-05 00:00:42.445: INFO @metrics_hook: valid age_mae: 8.763 +-0.272 (3986) 2021-02-05 00:00:42.445: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:00:43.756: INFO @decay_lr : LR updated to `0.000117499716` 2021-02-05 00:00:43.757: INFO @log_profile : T train: 12.877847 2021-02-05 00:00:43.757: INFO @log_profile : T valid: 1.561448 2021-02-05 00:00:43.757: INFO @log_profile : T read data: 0.401342 2021-02-05 00:00:43.757: INFO @log_profile : T hooks: 13.282973 2021-02-05 00:00:43.757: INFO @main_loop : Epoch 187 done 2021-02-05 00:00:43.757: INFO @main_loop : Training epoch 188 2021-02-05 00:00:59.376: INFO @log_variables: train loss nanmean: 1.292462 2021-02-05 00:00:59.376: INFO @log_variables: train age_loss mean: 9.724578 2021-02-05 00:00:59.376: INFO @log_variables: train gender_loss mean: 0.308620 2021-02-05 00:00:59.376: INFO @log_variables: train age_mae mean: 9.139254 2021-02-05 00:00:59.376: INFO @log_variables: train gender_accuracy mean: 0.864489 2021-02-05 00:00:59.376: INFO @log_variables: train gender_confidence/loss nanmean: 0.071277 2021-02-05 00:00:59.376: INFO @log_variables: train gender_confidence/accuracy mean: 0.765047 2021-02-05 00:00:59.376: INFO @log_variables: train age_confidence/loss mean: 0.056569 2021-02-05 00:00:59.376: INFO @log_variables: train age_confidence/accuracy mean: 0.672413 2021-02-05 00:00:59.377: INFO @log_variables: valid loss nanmean: 1.250406 2021-02-05 00:00:59.377: INFO @log_variables: valid age_loss mean: 9.403777 2021-02-05 00:00:59.377: INFO @log_variables: valid gender_loss mean: 0.284416 2021-02-05 00:00:59.377: INFO @log_variables: valid age_mae mean: 8.804811 2021-02-05 00:00:59.377: INFO @log_variables: valid gender_accuracy mean: 0.886352 2021-02-05 00:00:59.377: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073300 2021-02-05 00:00:59.377: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834671 2021-02-05 00:00:59.377: INFO @log_variables: valid age_confidence/loss mean: 0.063657 2021-02-05 00:00:59.377: INFO @log_variables: valid age_confidence/accuracy mean: 0.618916 2021-02-05 00:00:59.377: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:00:59.379: INFO @metrics_hook: train age_mae: 9.139 +-0.153 (13807) 2021-02-05 00:00:59.380: INFO @metrics_hook: train gender_accuracy: 0.864 +-0.006 (13807) 2021-02-05 00:01:00.799: INFO @metrics_hook: valid age_mae: 8.805 +-0.276 (3986) 2021-02-05 00:01:00.799: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:01:02.008: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:01:02.008: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:01:02.009: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:01:02.009: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-05 00:01:02.083: INFO @evaluate_confidence: Previous accuracy would be: 86.45 2021-02-05 00:01:02.083: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:01:02.088: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.09, 92.38, 92.65, 92.85, 93.06, 93.38, 93.55, 93.75, 93.99, 94.16, 94.38, 94.57, 94.84, 95.11, 95.21, 95.26, 95.44, 95.76, 95.88, 96.11, 96.18, 96.36, 96.48, 96.68] 2021-02-05 00:01:02.088: INFO @evaluate_confidence: Dropped ratios are: [24.52, 25.73, 27.0, 28.14, 29.41, 30.46, 31.71, 32.66, 34.01, 34.98, 36.21, 37.36, 38.48, 39.68, 40.77, 41.78, 42.96, 44.17, 45.22, 46.32, 47.47, 48.63, 49.8, 50.88] 2021-02-05 00:01:02.094: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:01:02.094: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.22 2021-02-05 00:01:02.094: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-05 00:01:02.094: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:01:02.179: INFO @evaluate_confidence: Previous accuracy would be: 41.78 2021-02-05 00:01:02.179: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:01:02.183: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.24, 55.66, 56.86, 58.18, 59.11, 60.2, 61.4, 62.42, 63.71, 64.87, 65.86, 67.34, 68.21, 69.6] 2021-02-05 00:01:02.183: INFO @evaluate_confidence: Dropped ratios are: [49.29, 52.48, 55.29, 58.02, 60.53, 62.88, 64.97, 66.89, 68.75, 70.66, 72.31, 73.99, 75.22, 76.68] 2021-02-05 00:01:02.184: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:01:02.184: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:01:02.184: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:01:02.184: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:01:02.253: INFO @evaluate_confidence: Previous accuracy would be: 88.64 2021-02-05 00:01:02.254: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:01:02.255: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.45, 93.68, 93.92, 94.23, 94.35, 94.45, 94.66, 94.93, 95.14, 95.35, 95.56, 95.68, 95.79, 96.02, 96.21, 96.41, 96.54, 96.85, 97.04, 97.15, 97.22, 97.24, 97.32, 97.41, 97.41] 2021-02-05 00:01:02.255: INFO @evaluate_confidence: Dropped ratios are: [20.37, 21.42, 22.38, 23.48, 24.51, 25.44, 26.27, 27.27, 28.17, 29.35, 30.56, 31.44, 32.71, 33.84, 35.15, 36.33, 37.66, 38.76, 39.86, 40.97, 42.27, 43.58, 44.81, 45.68, 46.66] 2021-02-05 00:01:02.257: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:01:02.257: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:01:02.257: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:01:02.257: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:01:02.338: INFO @evaluate_confidence: Previous accuracy would be: 42.90 2021-02-05 00:01:02.339: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:01:02.340: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.79, 54.18, 54.62, 55.64, 56.01, 56.44, 57.46, 58.2, 59.39] 2021-02-05 00:01:02.340: INFO @evaluate_confidence: Dropped ratios are: [52.28, 55.87, 59.26, 62.62, 65.33, 67.86, 70.4, 72.33, 74.61] 2021-02-05 00:01:02.349: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:01:02.696: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:02.750: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:01:03.002: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:03.145: INFO @decay_lr : LR updated to `0.00011691222` 2021-02-05 00:01:03.335: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:01:03.337: INFO @log_profile : T train: 12.920812 2021-02-05 00:01:03.337: INFO @log_profile : T valid: 1.550187 2021-02-05 00:01:03.337: INFO @log_profile : T read data: 0.506476 2021-02-05 00:01:03.337: INFO @log_profile : T hooks: 4.553970 2021-02-05 00:01:03.337: INFO @main_loop : Epoch 188 done 2021-02-05 00:01:03.337: INFO @main_loop : Training epoch 189 2021-02-05 00:01:18.924: INFO @log_variables: train loss nanmean: 1.287879 2021-02-05 00:01:18.924: INFO @log_variables: train age_loss mean: 9.686157 2021-02-05 00:01:18.924: INFO @log_variables: train gender_loss mean: 0.307543 2021-02-05 00:01:18.925: INFO @log_variables: train age_mae mean: 9.102461 2021-02-05 00:01:18.925: INFO @log_variables: train gender_accuracy mean: 0.863932 2021-02-05 00:01:18.925: INFO @log_variables: train gender_confidence/loss nanmean: 0.070662 2021-02-05 00:01:18.925: INFO @log_variables: train gender_confidence/accuracy mean: 0.768084 2021-02-05 00:01:18.925: INFO @log_variables: train age_confidence/loss mean: 0.057072 2021-02-05 00:01:18.925: INFO @log_variables: train age_confidence/accuracy mean: 0.668475 2021-02-05 00:01:18.925: INFO @log_variables: valid loss nanmean: 1.258118 2021-02-05 00:01:18.925: INFO @log_variables: valid age_loss mean: 9.412546 2021-02-05 00:01:18.925: INFO @log_variables: valid gender_loss mean: 0.296096 2021-02-05 00:01:18.925: INFO @log_variables: valid age_mae mean: 8.812067 2021-02-05 00:01:18.925: INFO @log_variables: valid gender_accuracy mean: 0.870296 2021-02-05 00:01:18.925: INFO @log_variables: valid gender_confidence/loss nanmean: 0.069228 2021-02-05 00:01:18.925: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842449 2021-02-05 00:01:18.925: INFO @log_variables: valid age_confidence/loss mean: 0.064025 2021-02-05 00:01:18.925: INFO @log_variables: valid age_confidence/accuracy mean: 0.623432 2021-02-05 00:01:18.925: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:01:18.927: INFO @metrics_hook: train age_mae: 9.102 +-0.154 (13824) 2021-02-05 00:01:18.929: INFO @metrics_hook: train gender_accuracy: 0.864 +-0.006 (13824) 2021-02-05 00:01:20.343: INFO @metrics_hook: valid age_mae: 8.812 +-0.280 (3986) 2021-02-05 00:01:20.343: INFO @metrics_hook: valid gender_accuracy: 0.870 +-0.011 (3986) 2021-02-05 00:01:21.674: INFO @decay_lr : LR updated to `0.00011632766` 2021-02-05 00:01:21.675: INFO @log_profile : T train: 12.911817 2021-02-05 00:01:21.675: INFO @log_profile : T valid: 1.615925 2021-02-05 00:01:21.675: INFO @log_profile : T read data: 0.401608 2021-02-05 00:01:21.675: INFO @log_profile : T hooks: 3.359209 2021-02-05 00:01:21.675: INFO @main_loop : Epoch 189 done 2021-02-05 00:01:21.676: INFO @main_loop : Training epoch 190 2021-02-05 00:01:37.785: INFO @log_variables: train loss nanmean: 1.283486 2021-02-05 00:01:37.785: INFO @log_variables: train age_loss mean: 9.699952 2021-02-05 00:01:37.785: INFO @log_variables: train gender_loss mean: 0.301656 2021-02-05 00:01:37.785: INFO @log_variables: train age_mae mean: 9.116075 2021-02-05 00:01:37.785: INFO @log_variables: train gender_accuracy mean: 0.872468 2021-02-05 00:01:37.785: INFO @log_variables: train gender_confidence/loss nanmean: 0.071020 2021-02-05 00:01:37.785: INFO @log_variables: train gender_confidence/accuracy mean: 0.771340 2021-02-05 00:01:37.785: INFO @log_variables: train age_confidence/loss mean: 0.056419 2021-02-05 00:01:37.785: INFO @log_variables: train age_confidence/accuracy mean: 0.674551 2021-02-05 00:01:37.785: INFO @log_variables: valid loss nanmean: 1.229870 2021-02-05 00:01:37.785: INFO @log_variables: valid age_loss mean: 9.251926 2021-02-05 00:01:37.785: INFO @log_variables: valid gender_loss mean: 0.281392 2021-02-05 00:01:37.785: INFO @log_variables: valid age_mae mean: 8.659135 2021-02-05 00:01:37.785: INFO @log_variables: valid gender_accuracy mean: 0.887607 2021-02-05 00:01:37.785: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071846 2021-02-05 00:01:37.785: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844456 2021-02-05 00:01:37.785: INFO @log_variables: valid age_confidence/loss mean: 0.061129 2021-02-05 00:01:37.786: INFO @log_variables: valid age_confidence/accuracy mean: 0.641746 2021-02-05 00:01:37.786: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:01:37.787: INFO @metrics_hook: train age_mae: 9.116 +-0.152 (13824) 2021-02-05 00:01:37.789: INFO @metrics_hook: train gender_accuracy: 0.872 +-0.006 (13824) 2021-02-05 00:01:39.188: INFO @metrics_hook: valid age_mae: 8.659 +-0.270 (3986) 2021-02-05 00:01:39.189: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:01:40.398: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:01:40.398: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:01:40.398: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:01:40.398: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-05 00:01:40.473: INFO @evaluate_confidence: Previous accuracy would be: 87.25 2021-02-05 00:01:40.473: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:01:40.478: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.68, 92.86, 93.12, 93.32, 93.52, 93.74, 93.98, 94.08, 94.28, 94.5, 94.76, 95.01, 95.18, 95.38, 95.62, 95.8, 95.92, 96.09, 96.3, 96.46, 96.7, 96.92, 97.04, 97.14] 2021-02-05 00:01:40.478: INFO @evaluate_confidence: Dropped ratios are: [23.8, 24.9, 26.29, 27.45, 28.62, 29.77, 30.91, 32.09, 33.2, 34.41, 35.67, 36.71, 37.88, 39.03, 40.2, 41.28, 42.6, 43.81, 45.03, 46.28, 47.38, 48.6, 49.83, 51.18] 2021-02-05 00:01:40.484: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:01:40.484: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.22 2021-02-05 00:01:40.484: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-05 00:01:40.484: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:01:40.571: INFO @evaluate_confidence: Previous accuracy would be: 41.57 2021-02-05 00:01:40.571: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:01:40.574: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.62, 55.54, 56.82, 58.25, 59.61, 60.96, 62.16, 63.26, 64.09, 65.64, 66.7, 67.4, 68.15, 69.14] 2021-02-05 00:01:40.574: INFO @evaluate_confidence: Dropped ratios are: [49.55, 52.24, 55.29, 58.11, 60.61, 63.11, 65.24, 67.14, 68.97, 71.01, 72.61, 74.08, 75.59, 76.82] 2021-02-05 00:01:40.576: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:01:40.576: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-05 00:01:40.576: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-05 00:01:40.576: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.20 2021-02-05 00:01:40.645: INFO @evaluate_confidence: Previous accuracy would be: 88.76 2021-02-05 00:01:40.645: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:01:40.646: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.23, 93.51, 93.7, 93.79, 94.08, 94.56, 94.73, 95.1, 95.45, 95.66, 95.81, 96.03, 96.28, 96.35, 96.58, 96.78, 96.81, 96.96, 97.14, 97.34, 97.33, 97.42, 97.57, 97.66] 2021-02-05 00:01:40.646: INFO @evaluate_confidence: Dropped ratios are: [19.92, 21.12, 21.95, 22.83, 24.11, 25.31, 26.27, 27.25, 28.25, 29.48, 30.56, 31.69, 32.64, 33.97, 34.8, 36.05, 37.13, 38.06, 39.39, 40.69, 41.7, 42.72, 44.23, 45.31] 2021-02-05 00:01:40.648: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:01:40.648: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:01:40.648: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:01:40.648: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:01:40.731: INFO @evaluate_confidence: Previous accuracy would be: 42.70 2021-02-05 00:01:40.731: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:01:40.732: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.16, 55.09, 55.97, 57.57, 58.58, 59.14, 60.9, 61.81, 63.15, 64.27] 2021-02-05 00:01:40.732: INFO @evaluate_confidence: Dropped ratios are: [51.78, 55.64, 59.21, 62.39, 64.93, 67.46, 70.3, 72.28, 74.34, 75.92] 2021-02-05 00:01:40.742: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:01:41.092: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:41.151: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:01:41.411: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:41.466: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:01:41.824: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:41.883: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:01:41.884: INFO @evaluate_gender-age_model: groups 0 6.400287 1 9.824465 2 9.619158 3 8.462384 4 8.983970 5 10.395509 6 9.460772 7 9.441605 Name: errors, dtype: float64 2021-02-05 00:01:41.884: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:01:42.138: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:01:42.192: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:01:42.192: INFO @evaluate_gender-age_model: groups 0 7.248806 1 8.649543 2 8.745578 3 7.812889 4 8.679294 5 9.243771 6 9.640184 7 8.675397 Name: errors, dtype: float64 2021-02-05 00:01:42.286: INFO @decay_lr : LR updated to `0.00011574602` 2021-02-05 00:01:42.474: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:01:42.476: INFO @log_profile : T train: 12.930654 2021-02-05 00:01:42.476: INFO @log_profile : T valid: 1.594407 2021-02-05 00:01:42.476: INFO @log_profile : T read data: 0.401414 2021-02-05 00:01:42.476: INFO @log_profile : T hooks: 5.826908 2021-02-05 00:01:42.476: INFO @main_loop : Epoch 190 done 2021-02-05 00:01:42.476: INFO @main_loop : Training epoch 191 2021-02-05 00:01:58.134: INFO @log_variables: train loss nanmean: 1.282205 2021-02-05 00:01:58.134: INFO @log_variables: train age_loss mean: 9.653478 2021-02-05 00:01:58.134: INFO @log_variables: train gender_loss mean: 0.303148 2021-02-05 00:01:58.134: INFO @log_variables: train age_mae mean: 9.066355 2021-02-05 00:01:58.134: INFO @log_variables: train gender_accuracy mean: 0.870718 2021-02-05 00:01:58.134: INFO @log_variables: train gender_confidence/loss nanmean: 0.071736 2021-02-05 00:01:58.134: INFO @log_variables: train gender_confidence/accuracy mean: 0.770551 2021-02-05 00:01:58.134: INFO @log_variables: train age_confidence/loss mean: 0.057291 2021-02-05 00:01:58.134: INFO @log_variables: train age_confidence/accuracy mean: 0.670095 2021-02-05 00:01:58.134: INFO @log_variables: valid loss nanmean: 1.251673 2021-02-05 00:01:58.134: INFO @log_variables: valid age_loss mean: 9.397743 2021-02-05 00:01:58.134: INFO @log_variables: valid gender_loss mean: 0.288873 2021-02-05 00:01:58.134: INFO @log_variables: valid age_mae mean: 8.802163 2021-02-05 00:01:58.134: INFO @log_variables: valid gender_accuracy mean: 0.878324 2021-02-05 00:01:58.134: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072587 2021-02-05 00:01:58.134: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845961 2021-02-05 00:01:58.134: INFO @log_variables: valid age_confidence/loss mean: 0.062134 2021-02-05 00:01:58.134: INFO @log_variables: valid age_confidence/accuracy mean: 0.633216 2021-02-05 00:01:58.134: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:01:58.135: INFO @metrics_hook: train age_mae: 9.066 +-0.153 (13807) 2021-02-05 00:01:58.136: INFO @metrics_hook: train gender_accuracy: 0.871 +-0.006 (13807) 2021-02-05 00:01:59.609: INFO @metrics_hook: valid age_mae: 8.802 +-0.279 (3986) 2021-02-05 00:01:59.610: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-05 00:02:01.057: INFO @decay_lr : LR updated to `0.00011516729` 2021-02-05 00:02:01.058: INFO @log_profile : T train: 12.846893 2021-02-05 00:02:01.058: INFO @log_profile : T valid: 1.667268 2021-02-05 00:02:01.058: INFO @log_profile : T read data: 0.503462 2021-02-05 00:02:01.058: INFO @log_profile : T hooks: 3.515423 2021-02-05 00:02:01.058: INFO @main_loop : Epoch 191 done 2021-02-05 00:02:01.058: INFO @main_loop : Training epoch 192 2021-02-05 00:02:16.581: INFO @log_variables: train loss nanmean: 1.266697 2021-02-05 00:02:16.581: INFO @log_variables: train age_loss mean: 9.578727 2021-02-05 00:02:16.581: INFO @log_variables: train gender_loss mean: 0.294337 2021-02-05 00:02:16.581: INFO @log_variables: train age_mae mean: 8.996962 2021-02-05 00:02:16.581: INFO @log_variables: train gender_accuracy mean: 0.874566 2021-02-05 00:02:16.581: INFO @log_variables: train gender_confidence/loss nanmean: 0.070856 2021-02-05 00:02:16.581: INFO @log_variables: train gender_confidence/accuracy mean: 0.773799 2021-02-05 00:02:16.581: INFO @log_variables: train age_confidence/loss mean: 0.057469 2021-02-05 00:02:16.581: INFO @log_variables: train age_confidence/accuracy mean: 0.667390 2021-02-05 00:02:16.582: INFO @log_variables: valid loss nanmean: 1.261787 2021-02-05 00:02:16.582: INFO @log_variables: valid age_loss mean: 9.435881 2021-02-05 00:02:16.582: INFO @log_variables: valid gender_loss mean: 0.296030 2021-02-05 00:02:16.582: INFO @log_variables: valid age_mae mean: 8.838298 2021-02-05 00:02:16.582: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:02:16.582: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072587 2021-02-05 00:02:16.582: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827396 2021-02-05 00:02:16.582: INFO @log_variables: valid age_confidence/loss mean: 0.062275 2021-02-05 00:02:16.582: INFO @log_variables: valid age_confidence/accuracy mean: 0.637230 2021-02-05 00:02:16.582: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:02:16.584: INFO @metrics_hook: train age_mae: 8.997 +-0.153 (13824) 2021-02-05 00:02:16.585: INFO @metrics_hook: train gender_accuracy: 0.875 +-0.006 (13824) 2021-02-05 00:02:18.002: INFO @metrics_hook: valid age_mae: 8.838 +-0.277 (3986) 2021-02-05 00:02:18.002: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:02:19.252: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:02:19.252: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:02:19.252: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:02:19.252: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:02:19.329: INFO @evaluate_confidence: Previous accuracy would be: 87.46 2021-02-05 00:02:19.330: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:02:19.335: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.71, 92.89, 93.14, 93.42, 93.7, 93.9, 94.07, 94.36, 94.56, 94.64, 94.84, 95.02, 95.16, 95.44, 95.67, 95.89, 96.04, 96.22, 96.31, 96.4, 96.57, 96.78, 96.97, 97.08, 97.27] 2021-02-05 00:02:19.335: INFO @evaluate_confidence: Dropped ratios are: [23.36, 24.41, 25.51, 26.87, 28.15, 29.25, 30.3, 31.49, 32.68, 33.9, 35.04, 36.29, 37.35, 38.54, 39.66, 40.83, 41.95, 43.22, 44.45, 45.79, 46.89, 48.08, 49.15, 50.24, 51.31] 2021-02-05 00:02:19.341: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:02:19.341: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:02:19.341: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:02:19.341: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:02:19.429: INFO @evaluate_confidence: Previous accuracy would be: 42.80 2021-02-05 00:02:19.429: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:02:19.432: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.86, 57.19, 58.35, 59.62, 60.53, 61.75, 63.01, 63.93, 65.0, 65.92, 67.11, 68.07, 69.37] 2021-02-05 00:02:19.432: INFO @evaluate_confidence: Dropped ratios are: [50.59, 53.5, 55.95, 58.62, 60.72, 63.1, 65.29, 67.15, 68.97, 70.56, 72.11, 73.56, 74.85] 2021-02-05 00:02:19.434: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:02:19.434: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:02:19.434: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-05 00:02:19.434: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:02:19.502: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:02:19.502: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:02:19.504: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.6, 93.82, 94.06, 94.17, 94.35, 94.58, 94.69, 94.79, 95.1, 95.43, 95.71, 95.69, 95.89, 96.05, 96.19, 96.4, 96.46, 96.6, 96.59, 96.75, 96.79, 96.92, 97.18, 97.28, 97.46] 2021-02-05 00:02:19.504: INFO @evaluate_confidence: Dropped ratios are: [21.65, 22.48, 23.51, 24.64, 25.87, 26.89, 28.15, 29.23, 30.33, 31.31, 32.19, 32.99, 34.09, 35.2, 36.18, 37.23, 38.26, 39.41, 40.49, 41.29, 42.22, 43.03, 44.0, 45.51, 46.66] 2021-02-05 00:02:19.506: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:02:19.506: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.49 +- 0.18 2021-02-05 00:02:19.506: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-05 00:02:19.506: INFO @evaluate_confidence: Average confidence of all samples 0.44 +- 0.15 2021-02-05 00:02:19.594: INFO @evaluate_confidence: Previous accuracy would be: 42.77 2021-02-05 00:02:19.595: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49] 2021-02-05 00:02:19.596: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.35, 55.72, 56.67, 57.57, 58.41, 59.37, 59.85, 61.05, 61.78, 63.5] 2021-02-05 00:02:19.596: INFO @evaluate_confidence: Dropped ratios are: [51.3, 55.24, 58.66, 62.04, 64.95, 67.46, 70.07, 72.18, 74.13, 76.22] 2021-02-05 00:02:19.605: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:02:19.962: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:02:20.019: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:02:20.323: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:02:20.484: INFO @decay_lr : LR updated to `0.00011459146` 2021-02-05 00:02:20.485: INFO @log_profile : T train: 12.885586 2021-02-05 00:02:20.485: INFO @log_profile : T valid: 1.596445 2021-02-05 00:02:20.485: INFO @log_profile : T read data: 0.405326 2021-02-05 00:02:20.485: INFO @log_profile : T hooks: 4.491885 2021-02-05 00:02:20.485: INFO @main_loop : Epoch 192 done 2021-02-05 00:02:20.485: INFO @main_loop : Training epoch 193 2021-02-05 00:02:35.986: INFO @log_variables: train loss nanmean: 1.290435 2021-02-05 00:02:35.986: INFO @log_variables: train age_loss mean: 9.748779 2021-02-05 00:02:35.986: INFO @log_variables: train gender_loss mean: 0.303817 2021-02-05 00:02:35.986: INFO @log_variables: train age_mae mean: 9.163867 2021-02-05 00:02:35.986: INFO @log_variables: train gender_accuracy mean: 0.870081 2021-02-05 00:02:35.986: INFO @log_variables: train gender_confidence/loss nanmean: 0.070629 2021-02-05 00:02:35.986: INFO @log_variables: train gender_confidence/accuracy mean: 0.772714 2021-02-05 00:02:35.986: INFO @log_variables: train age_confidence/loss mean: 0.057357 2021-02-05 00:02:35.986: INFO @log_variables: train age_confidence/accuracy mean: 0.668909 2021-02-05 00:02:35.986: INFO @log_variables: valid loss nanmean: 1.252911 2021-02-05 00:02:35.986: INFO @log_variables: valid age_loss mean: 9.443049 2021-02-05 00:02:35.986: INFO @log_variables: valid gender_loss mean: 0.285997 2021-02-05 00:02:35.986: INFO @log_variables: valid age_mae mean: 8.845616 2021-02-05 00:02:35.987: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:02:35.987: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072236 2021-02-05 00:02:35.987: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842950 2021-02-05 00:02:35.987: INFO @log_variables: valid age_confidence/loss mean: 0.062219 2021-02-05 00:02:35.987: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:02:35.987: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:02:35.988: INFO @metrics_hook: train age_mae: 9.164 +-0.155 (13824) 2021-02-05 00:02:35.990: INFO @metrics_hook: train gender_accuracy: 0.870 +-0.006 (13824) 2021-02-05 00:02:37.396: INFO @metrics_hook: valid age_mae: 8.846 +-0.280 (3986) 2021-02-05 00:02:37.396: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:02:38.745: INFO @decay_lr : LR updated to `0.0001140185` 2021-02-05 00:02:38.746: INFO @log_profile : T train: 12.811778 2021-02-05 00:02:38.746: INFO @log_profile : T valid: 1.632289 2021-02-05 00:02:38.746: INFO @log_profile : T read data: 0.399831 2021-02-05 00:02:38.746: INFO @log_profile : T hooks: 3.368188 2021-02-05 00:02:38.746: INFO @main_loop : Epoch 193 done 2021-02-05 00:02:38.746: INFO @main_loop : Training epoch 194 2021-02-05 00:02:54.378: INFO @log_variables: train loss nanmean: 1.271000 2021-02-05 00:02:54.378: INFO @log_variables: train age_loss mean: 9.582800 2021-02-05 00:02:54.378: INFO @log_variables: train gender_loss mean: 0.298391 2021-02-05 00:02:54.378: INFO @log_variables: train age_mae mean: 8.999639 2021-02-05 00:02:54.378: INFO @log_variables: train gender_accuracy mean: 0.875860 2021-02-05 00:02:54.378: INFO @log_variables: train gender_confidence/loss nanmean: 0.071651 2021-02-05 00:02:54.378: INFO @log_variables: train gender_confidence/accuracy mean: 0.766857 2021-02-05 00:02:54.378: INFO @log_variables: train age_confidence/loss mean: 0.056921 2021-02-05 00:02:54.378: INFO @log_variables: train age_confidence/accuracy mean: 0.671036 2021-02-05 00:02:54.378: INFO @log_variables: valid loss nanmean: 1.231839 2021-02-05 00:02:54.378: INFO @log_variables: valid age_loss mean: 9.259404 2021-02-05 00:02:54.378: INFO @log_variables: valid gender_loss mean: 0.281259 2021-02-05 00:02:54.379: INFO @log_variables: valid age_mae mean: 8.667733 2021-02-05 00:02:54.379: INFO @log_variables: valid gender_accuracy mean: 0.884345 2021-02-05 00:02:54.379: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071391 2021-02-05 00:02:54.379: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836428 2021-02-05 00:02:54.379: INFO @log_variables: valid age_confidence/loss mean: 0.062994 2021-02-05 00:02:54.379: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-05 00:02:54.379: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:02:54.381: INFO @metrics_hook: train age_mae: 9.000 +-0.151 (13807) 2021-02-05 00:02:54.382: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13807) 2021-02-05 00:02:55.826: INFO @metrics_hook: valid age_mae: 8.668 +-0.272 (3986) 2021-02-05 00:02:55.827: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:02:57.087: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:02:57.087: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:02:57.087: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.50 +- 0.17 2021-02-05 00:02:57.087: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.22 2021-02-05 00:02:57.164: INFO @evaluate_confidence: Previous accuracy would be: 87.59 2021-02-05 00:02:57.165: INFO @evaluate_confidence: Possible optimal thresholds are: [0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:02:57.169: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.72, 92.99, 93.25, 93.49, 93.76, 93.88, 94.16, 94.34, 94.47, 94.77, 94.93, 95.21, 95.34, 95.6, 95.72, 95.85, 96.06, 96.29, 96.47, 96.73, 96.83, 96.92, 97.08] 2021-02-05 00:02:57.169: INFO @evaluate_confidence: Dropped ratios are: [24.78, 25.94, 27.1, 28.34, 29.65, 30.77, 31.92, 33.11, 34.34, 35.52, 36.71, 37.95, 39.13, 40.23, 41.43, 42.52, 43.74, 44.9, 46.03, 47.26, 48.39, 49.37, 50.57] 2021-02-05 00:02:57.175: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:02:57.176: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:02:57.176: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.11 2021-02-05 00:02:57.176: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-05 00:02:57.272: INFO @evaluate_confidence: Previous accuracy would be: 42.25 2021-02-05 00:02:57.272: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:02:57.275: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.93, 57.27, 58.46, 59.77, 61.25, 62.63, 63.83, 65.01, 66.45, 67.53, 68.68, 69.89, 70.84] 2021-02-05 00:02:57.275: INFO @evaluate_confidence: Dropped ratios are: [51.23, 54.55, 57.54, 60.35, 62.99, 65.37, 67.48, 69.65, 71.52, 73.23, 74.95, 76.35, 77.57] 2021-02-05 00:02:57.277: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:02:57.277: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.19 2021-02-05 00:02:57.277: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.17 2021-02-05 00:02:57.277: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:02:57.349: INFO @evaluate_confidence: Previous accuracy would be: 88.43 2021-02-05 00:02:57.350: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:02:57.351: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.74, 94.04, 94.26, 94.4, 94.53, 94.62, 94.83, 94.98, 95.12, 95.32, 95.58, 95.71, 95.99, 96.15, 96.36, 96.49, 96.67, 96.77, 96.93, 97.11, 97.19, 97.4, 97.52, 97.6] 2021-02-05 00:02:57.351: INFO @evaluate_confidence: Dropped ratios are: [20.7, 22.13, 23.03, 24.23, 25.19, 26.27, 27.27, 28.55, 29.63, 30.88, 31.94, 32.76, 33.72, 34.87, 35.85, 37.08, 38.31, 39.39, 40.44, 41.92, 42.88, 43.98, 45.43, 46.59] 2021-02-05 00:02:57.353: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:02:57.353: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:02:57.353: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:02:57.353: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:02:57.439: INFO @evaluate_confidence: Previous accuracy would be: 43.00 2021-02-05 00:02:57.440: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:02:57.441: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.99, 54.84, 55.99, 57.21, 58.49, 59.34, 60.16, 61.37, 62.15, 63.99] 2021-02-05 00:02:57.441: INFO @evaluate_confidence: Dropped ratios are: [52.56, 56.45, 59.58, 62.59, 65.86, 68.72, 70.97, 73.18, 75.21, 77.22] 2021-02-05 00:02:57.450: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:02:57.802: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:02:57.856: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:02:58.133: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:02:58.298: INFO @decay_lr : LR updated to `0.000113448405` 2021-02-05 00:02:58.299: INFO @log_profile : T train: 12.868711 2021-02-05 00:02:58.299: INFO @log_profile : T valid: 1.620849 2021-02-05 00:02:58.299: INFO @log_profile : T read data: 0.509412 2021-02-05 00:02:58.299: INFO @log_profile : T hooks: 4.505335 2021-02-05 00:02:58.299: INFO @main_loop : Epoch 194 done 2021-02-05 00:02:58.299: INFO @main_loop : Training epoch 195 2021-02-05 00:03:13.809: INFO @log_variables: train loss nanmean: 1.260229 2021-02-05 00:03:13.809: INFO @log_variables: train age_loss mean: 9.525788 2021-02-05 00:03:13.809: INFO @log_variables: train gender_loss mean: 0.294459 2021-02-05 00:03:13.809: INFO @log_variables: train age_mae mean: 8.945670 2021-02-05 00:03:13.809: INFO @log_variables: train gender_accuracy mean: 0.873481 2021-02-05 00:03:13.809: INFO @log_variables: train gender_confidence/loss nanmean: 0.069111 2021-02-05 00:03:13.809: INFO @log_variables: train gender_confidence/accuracy mean: 0.779586 2021-02-05 00:03:13.809: INFO @log_variables: train age_confidence/loss mean: 0.057447 2021-02-05 00:03:13.809: INFO @log_variables: train age_confidence/accuracy mean: 0.672237 2021-02-05 00:03:13.809: INFO @log_variables: valid loss nanmean: 1.235538 2021-02-05 00:03:13.809: INFO @log_variables: valid age_loss mean: 9.276454 2021-02-05 00:03:13.810: INFO @log_variables: valid gender_loss mean: 0.282673 2021-02-05 00:03:13.810: INFO @log_variables: valid age_mae mean: 8.686255 2021-02-05 00:03:13.810: INFO @log_variables: valid gender_accuracy mean: 0.886352 2021-02-05 00:03:13.810: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073347 2021-02-05 00:03:13.810: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836929 2021-02-05 00:03:13.810: INFO @log_variables: valid age_confidence/loss mean: 0.061901 2021-02-05 00:03:13.810: INFO @log_variables: valid age_confidence/accuracy mean: 0.637732 2021-02-05 00:03:13.810: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:03:13.812: INFO @metrics_hook: train age_mae: 8.946 +-0.152 (13824) 2021-02-05 00:03:13.813: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13824) 2021-02-05 00:03:15.240: INFO @metrics_hook: valid age_mae: 8.686 +-0.269 (3986) 2021-02-05 00:03:15.241: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:03:16.583: INFO @decay_lr : LR updated to `0.000112881164` 2021-02-05 00:03:16.584: INFO @log_profile : T train: 12.826309 2021-02-05 00:03:16.584: INFO @log_profile : T valid: 1.628134 2021-02-05 00:03:16.584: INFO @log_profile : T read data: 0.400503 2021-02-05 00:03:16.584: INFO @log_profile : T hooks: 3.380073 2021-02-05 00:03:16.584: INFO @main_loop : Epoch 195 done 2021-02-05 00:03:16.584: INFO @main_loop : Training epoch 196 2021-02-05 00:03:32.134: INFO @log_variables: train loss nanmean: 1.267109 2021-02-05 00:03:32.134: INFO @log_variables: train age_loss mean: 9.523793 2021-02-05 00:03:32.134: INFO @log_variables: train gender_loss mean: 0.299949 2021-02-05 00:03:32.134: INFO @log_variables: train age_mae mean: 8.940125 2021-02-05 00:03:32.134: INFO @log_variables: train gender_accuracy mean: 0.873182 2021-02-05 00:03:32.135: INFO @log_variables: train gender_confidence/loss nanmean: 0.071284 2021-02-05 00:03:32.135: INFO @log_variables: train gender_confidence/accuracy mean: 0.774217 2021-02-05 00:03:32.135: INFO @log_variables: train age_confidence/loss mean: 0.057345 2021-02-05 00:03:32.135: INFO @log_variables: train age_confidence/accuracy mean: 0.670549 2021-02-05 00:03:32.135: INFO @log_variables: valid loss nanmean: 1.249370 2021-02-05 00:03:32.135: INFO @log_variables: valid age_loss mean: 9.287242 2021-02-05 00:03:32.135: INFO @log_variables: valid gender_loss mean: 0.295529 2021-02-05 00:03:32.135: INFO @log_variables: valid age_mae mean: 8.694842 2021-02-05 00:03:32.135: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:03:32.135: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073464 2021-02-05 00:03:32.135: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835173 2021-02-05 00:03:32.135: INFO @log_variables: valid age_confidence/loss mean: 0.062948 2021-02-05 00:03:32.135: INFO @log_variables: valid age_confidence/accuracy mean: 0.640743 2021-02-05 00:03:32.135: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:03:32.137: INFO @metrics_hook: train age_mae: 8.940 +-0.150 (13823) 2021-02-05 00:03:32.139: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13823) 2021-02-05 00:03:33.576: INFO @metrics_hook: valid age_mae: 8.695 +-0.274 (3986) 2021-02-05 00:03:33.577: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:03:34.812: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:03:34.812: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:03:34.812: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:03:34.812: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:03:34.888: INFO @evaluate_confidence: Previous accuracy would be: 87.32 2021-02-05 00:03:34.888: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:03:34.893: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.54, 92.76, 92.93, 93.22, 93.43, 93.75, 93.97, 94.12, 94.31, 94.57, 94.72, 94.93, 95.07, 95.21, 95.44, 95.56, 95.78, 95.84, 95.94, 96.19, 96.39, 96.57, 96.74, 96.89] 2021-02-05 00:03:34.893: INFO @evaluate_confidence: Dropped ratios are: [23.29, 24.31, 25.55, 26.77, 27.87, 29.18, 30.42, 31.51, 32.75, 33.96, 35.19, 36.32, 37.47, 38.63, 39.75, 40.99, 42.22, 43.37, 44.56, 45.74, 46.86, 47.95, 49.15, 50.28] 2021-02-05 00:03:34.899: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:03:34.899: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-05 00:03:34.899: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:03:34.899: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.17 2021-02-05 00:03:34.996: INFO @evaluate_confidence: Previous accuracy would be: 41.81 2021-02-05 00:03:34.996: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:03:34.999: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.72, 55.93, 57.04, 58.44, 60.08, 61.59, 62.71, 64.4, 65.6, 66.69, 67.82, 68.37] 2021-02-05 00:03:34.999: INFO @evaluate_confidence: Dropped ratios are: [52.26, 55.26, 58.02, 60.92, 63.37, 65.88, 67.95, 70.11, 71.82, 73.46, 75.16, 76.39] 2021-02-05 00:03:35.001: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:03:35.001: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.19 2021-02-05 00:03:35.001: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:03:35.001: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:03:35.072: INFO @evaluate_confidence: Previous accuracy would be: 88.13 2021-02-05 00:03:35.073: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:03:35.074: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.2, 93.35, 93.46, 93.63, 93.9, 94.22, 94.63, 94.89, 95.0, 95.21, 95.48, 95.68, 95.87, 96.3, 96.34, 96.55, 96.57, 96.7, 96.86, 96.98, 97.0, 97.12, 97.15, 97.31, 97.39] 2021-02-05 00:03:35.074: INFO @evaluate_confidence: Dropped ratios are: [20.32, 21.15, 22.08, 23.21, 24.36, 25.39, 26.72, 27.87, 28.75, 29.75, 30.68, 32.04, 33.22, 34.19, 35.6, 36.68, 37.83, 39.16, 40.14, 41.07, 42.27, 43.33, 44.63, 45.84, 47.22] 2021-02-05 00:03:35.076: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:03:35.076: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:03:35.076: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:03:35.076: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:03:35.162: INFO @evaluate_confidence: Previous accuracy would be: 44.10 2021-02-05 00:03:35.162: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:03:35.163: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.06, 56.5, 57.79, 58.68, 59.47, 61.48, 62.47, 64.32, 65.98] 2021-02-05 00:03:35.163: INFO @evaluate_confidence: Dropped ratios are: [53.11, 57.15, 60.41, 63.57, 65.96, 68.21, 70.92, 72.93, 74.41] 2021-02-05 00:03:35.173: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:03:35.541: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:03:35.602: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:03:35.861: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:03:36.015: INFO @decay_lr : LR updated to `0.00011231676` 2021-02-05 00:03:36.016: INFO @log_profile : T train: 12.888350 2021-02-05 00:03:36.016: INFO @log_profile : T valid: 1.633575 2021-02-05 00:03:36.016: INFO @log_profile : T read data: 0.394677 2021-02-05 00:03:36.016: INFO @log_profile : T hooks: 4.467994 2021-02-05 00:03:36.016: INFO @main_loop : Epoch 196 done 2021-02-05 00:03:36.016: INFO @main_loop : Training epoch 197 2021-02-05 00:03:51.635: INFO @log_variables: train loss nanmean: 1.275869 2021-02-05 00:03:51.635: INFO @log_variables: train age_loss mean: 9.595738 2021-02-05 00:03:51.635: INFO @log_variables: train gender_loss mean: 0.303465 2021-02-05 00:03:51.635: INFO @log_variables: train age_mae mean: 9.016786 2021-02-05 00:03:51.636: INFO @log_variables: train gender_accuracy mean: 0.868038 2021-02-05 00:03:51.636: INFO @log_variables: train gender_confidence/loss nanmean: 0.070687 2021-02-05 00:03:51.636: INFO @log_variables: train gender_confidence/accuracy mean: 0.765409 2021-02-05 00:03:51.636: INFO @log_variables: train age_confidence/loss mean: 0.056965 2021-02-05 00:03:51.636: INFO @log_variables: train age_confidence/accuracy mean: 0.673427 2021-02-05 00:03:51.636: INFO @log_variables: valid loss nanmean: 1.256742 2021-02-05 00:03:51.636: INFO @log_variables: valid age_loss mean: 9.330944 2021-02-05 00:03:51.636: INFO @log_variables: valid gender_loss mean: 0.301256 2021-02-05 00:03:51.636: INFO @log_variables: valid age_mae mean: 8.732636 2021-02-05 00:03:51.636: INFO @log_variables: valid gender_accuracy mean: 0.872052 2021-02-05 00:03:51.636: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072496 2021-02-05 00:03:51.636: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834671 2021-02-05 00:03:51.636: INFO @log_variables: valid age_confidence/loss mean: 0.062110 2021-02-05 00:03:51.636: INFO @log_variables: valid age_confidence/accuracy mean: 0.629955 2021-02-05 00:03:51.636: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:03:51.638: INFO @metrics_hook: train age_mae: 9.017 +-0.152 (13807) 2021-02-05 00:03:51.639: INFO @metrics_hook: train gender_accuracy: 0.868 +-0.006 (13807) 2021-02-05 00:03:53.073: INFO @metrics_hook: valid age_mae: 8.733 +-0.267 (3986) 2021-02-05 00:03:53.073: INFO @metrics_hook: valid gender_accuracy: 0.872 +-0.011 (3986) 2021-02-05 00:03:54.389: INFO @decay_lr : LR updated to `0.00011175518` 2021-02-05 00:03:54.390: INFO @log_profile : T train: 12.934250 2021-02-05 00:03:54.390: INFO @log_profile : T valid: 1.530667 2021-02-05 00:03:54.390: INFO @log_profile : T read data: 0.509563 2021-02-05 00:03:54.390: INFO @log_profile : T hooks: 3.350133 2021-02-05 00:03:54.390: INFO @main_loop : Epoch 197 done 2021-02-05 00:03:54.390: INFO @main_loop : Training epoch 198 2021-02-05 00:04:09.894: INFO @log_variables: train loss nanmean: 1.273458 2021-02-05 00:04:09.894: INFO @log_variables: train age_loss mean: 9.556724 2021-02-05 00:04:09.894: INFO @log_variables: train gender_loss mean: 0.304123 2021-02-05 00:04:09.894: INFO @log_variables: train age_mae mean: 8.978031 2021-02-05 00:04:09.894: INFO @log_variables: train gender_accuracy mean: 0.868996 2021-02-05 00:04:09.894: INFO @log_variables: train gender_confidence/loss nanmean: 0.070916 2021-02-05 00:04:09.894: INFO @log_variables: train gender_confidence/accuracy mean: 0.766855 2021-02-05 00:04:09.894: INFO @log_variables: train age_confidence/loss mean: 0.057274 2021-02-05 00:04:09.894: INFO @log_variables: train age_confidence/accuracy mean: 0.669054 2021-02-05 00:04:09.894: INFO @log_variables: valid loss nanmean: 1.248030 2021-02-05 00:04:09.895: INFO @log_variables: valid age_loss mean: 9.352724 2021-02-05 00:04:09.895: INFO @log_variables: valid gender_loss mean: 0.289919 2021-02-05 00:04:09.895: INFO @log_variables: valid age_mae mean: 8.757907 2021-02-05 00:04:09.895: INFO @log_variables: valid gender_accuracy mean: 0.878324 2021-02-05 00:04:09.895: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072541 2021-02-05 00:04:09.895: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834170 2021-02-05 00:04:09.895: INFO @log_variables: valid age_confidence/loss mean: 0.061679 2021-02-05 00:04:09.895: INFO @log_variables: valid age_confidence/accuracy mean: 0.638736 2021-02-05 00:04:09.895: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:04:09.897: INFO @metrics_hook: train age_mae: 8.978 +-0.153 (13824) 2021-02-05 00:04:09.898: INFO @metrics_hook: train gender_accuracy: 0.869 +-0.006 (13824) 2021-02-05 00:04:11.314: INFO @metrics_hook: valid age_mae: 8.758 +-0.271 (3986) 2021-02-05 00:04:11.314: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-05 00:04:12.550: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:04:12.550: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:04:12.550: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:04:12.550: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-05 00:04:12.633: INFO @evaluate_confidence: Previous accuracy would be: 86.90 2021-02-05 00:04:12.634: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:04:12.640: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.42, 92.69, 93.0, 93.25, 93.46, 93.65, 93.84, 93.92, 94.12, 94.28, 94.48, 94.66, 94.81, 95.05, 95.17, 95.35, 95.48, 95.69, 95.95, 96.14, 96.37, 96.55, 96.69, 96.97] 2021-02-05 00:04:12.640: INFO @evaluate_confidence: Dropped ratios are: [24.38, 25.52, 26.75, 27.92, 29.01, 30.17, 31.33, 32.49, 33.57, 34.73, 35.84, 37.16, 38.25, 39.36, 40.52, 41.68, 42.66, 43.76, 45.01, 46.21, 47.24, 48.39, 49.44, 50.64] 2021-02-05 00:04:12.649: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:04:12.649: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:04:12.649: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:04:12.649: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:04:12.745: INFO @evaluate_confidence: Previous accuracy would be: 42.85 2021-02-05 00:04:12.745: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:04:12.748: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.32, 57.43, 58.74, 59.89, 61.12, 62.41, 63.4, 64.92, 66.0, 67.42, 68.41, 69.75, 70.77] 2021-02-05 00:04:12.748: INFO @evaluate_confidence: Dropped ratios are: [51.11, 54.12, 56.86, 59.61, 62.1, 64.47, 66.3, 68.47, 70.23, 72.0, 73.51, 75.01, 76.16] 2021-02-05 00:04:12.750: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:04:12.750: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:04:12.750: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.17 2021-02-05 00:04:12.750: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.20 2021-02-05 00:04:12.819: INFO @evaluate_confidence: Previous accuracy would be: 87.83 2021-02-05 00:04:12.820: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:04:12.821: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.91, 93.25, 93.48, 93.59, 94.01, 94.16, 94.43, 94.8, 95.01, 95.1, 95.31, 95.52, 95.75, 95.94, 96.09, 96.33, 96.68, 96.86, 97.01, 97.08, 97.24, 97.32, 97.45, 97.48, 97.61] 2021-02-05 00:04:12.822: INFO @evaluate_confidence: Dropped ratios are: [19.34, 20.15, 21.12, 22.1, 23.33, 24.34, 25.74, 26.72, 27.62, 28.9, 29.93, 31.11, 32.11, 33.34, 34.52, 35.83, 37.33, 38.51, 39.54, 40.74, 41.87, 42.93, 43.88, 45.21, 46.56] 2021-02-05 00:04:12.823: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:04:12.823: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:04:12.823: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:04:12.823: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:04:12.916: INFO @evaluate_confidence: Previous accuracy would be: 42.80 2021-02-05 00:04:12.916: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:04:12.917: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.01, 55.35, 56.76, 57.82, 59.25, 59.85, 60.59, 61.99, 63.23, 63.6] 2021-02-05 00:04:12.917: INFO @evaluate_confidence: Dropped ratios are: [49.37, 53.14, 56.95, 60.39, 63.8, 67.01, 69.44, 71.95, 73.93, 75.46] 2021-02-05 00:04:12.926: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:04:13.281: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:13.335: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:04:13.600: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:13.753: INFO @decay_lr : LR updated to `0.0001111964` 2021-02-05 00:04:13.754: INFO @log_profile : T train: 12.834827 2021-02-05 00:04:13.754: INFO @log_profile : T valid: 1.619585 2021-02-05 00:04:13.754: INFO @log_profile : T read data: 0.404427 2021-02-05 00:04:13.754: INFO @log_profile : T hooks: 4.457346 2021-02-05 00:04:13.754: INFO @main_loop : Epoch 198 done 2021-02-05 00:04:13.754: INFO @main_loop : Training epoch 199 2021-02-05 00:04:29.219: INFO @log_variables: train loss nanmean: 1.269751 2021-02-05 00:04:29.219: INFO @log_variables: train age_loss mean: 9.615444 2021-02-05 00:04:29.219: INFO @log_variables: train gender_loss mean: 0.295359 2021-02-05 00:04:29.219: INFO @log_variables: train age_mae mean: 9.034374 2021-02-05 00:04:29.219: INFO @log_variables: train gender_accuracy mean: 0.872902 2021-02-05 00:04:29.219: INFO @log_variables: train gender_confidence/loss nanmean: 0.069583 2021-02-05 00:04:29.220: INFO @log_variables: train gender_confidence/accuracy mean: 0.774089 2021-02-05 00:04:29.220: INFO @log_variables: train age_confidence/loss mean: 0.057528 2021-02-05 00:04:29.220: INFO @log_variables: train age_confidence/accuracy mean: 0.672454 2021-02-05 00:04:29.220: INFO @log_variables: valid loss nanmean: 1.230411 2021-02-05 00:04:29.220: INFO @log_variables: valid age_loss mean: 9.176214 2021-02-05 00:04:29.220: INFO @log_variables: valid gender_loss mean: 0.288593 2021-02-05 00:04:29.220: INFO @log_variables: valid age_mae mean: 8.590444 2021-02-05 00:04:29.220: INFO @log_variables: valid gender_accuracy mean: 0.880582 2021-02-05 00:04:29.220: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072003 2021-02-05 00:04:29.220: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835424 2021-02-05 00:04:29.220: INFO @log_variables: valid age_confidence/loss mean: 0.061849 2021-02-05 00:04:29.220: INFO @log_variables: valid age_confidence/accuracy mean: 0.643502 2021-02-05 00:04:29.220: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:04:29.221: INFO @metrics_hook: train age_mae: 9.034 +-0.153 (13824) 2021-02-05 00:04:29.222: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13824) 2021-02-05 00:04:30.657: INFO @metrics_hook: valid age_mae: 8.590 +-0.265 (3986) 2021-02-05 00:04:30.658: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:04:32.010: INFO @decay_lr : LR updated to `0.000110640416` 2021-02-05 00:04:32.011: INFO @log_profile : T train: 12.912843 2021-02-05 00:04:32.011: INFO @log_profile : T valid: 1.530372 2021-02-05 00:04:32.011: INFO @log_profile : T read data: 0.401462 2021-02-05 00:04:32.011: INFO @log_profile : T hooks: 3.364102 2021-02-05 00:04:32.011: INFO @main_loop : Epoch 199 done 2021-02-05 00:04:32.011: INFO @main_loop : Training epoch 200 2021-02-05 00:04:47.549: INFO @log_variables: train loss nanmean: 1.262817 2021-02-05 00:04:47.549: INFO @log_variables: train age_loss mean: 9.561936 2021-02-05 00:04:47.549: INFO @log_variables: train gender_loss mean: 0.293115 2021-02-05 00:04:47.549: INFO @log_variables: train age_mae mean: 8.981322 2021-02-05 00:04:47.549: INFO @log_variables: train gender_accuracy mean: 0.873108 2021-02-05 00:04:47.549: INFO @log_variables: train gender_confidence/loss nanmean: 0.070617 2021-02-05 00:04:47.549: INFO @log_variables: train gender_confidence/accuracy mean: 0.774462 2021-02-05 00:04:47.549: INFO @log_variables: train age_confidence/loss mean: 0.056466 2021-02-05 00:04:47.549: INFO @log_variables: train age_confidence/accuracy mean: 0.674441 2021-02-05 00:04:47.549: INFO @log_variables: valid loss nanmean: 1.274677 2021-02-05 00:04:47.549: INFO @log_variables: valid age_loss mean: 9.506522 2021-02-05 00:04:47.549: INFO @log_variables: valid gender_loss mean: 0.301051 2021-02-05 00:04:47.549: INFO @log_variables: valid age_mae mean: 8.902983 2021-02-05 00:04:47.549: INFO @log_variables: valid gender_accuracy mean: 0.873808 2021-02-05 00:04:47.549: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072482 2021-02-05 00:04:47.549: INFO @log_variables: valid gender_confidence/accuracy mean: 0.825640 2021-02-05 00:04:47.549: INFO @log_variables: valid age_confidence/loss mean: 0.064283 2021-02-05 00:04:47.549: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 00:04:47.549: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:04:47.550: INFO @metrics_hook: train age_mae: 8.981 +-0.151 (13807) 2021-02-05 00:04:47.551: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13807) 2021-02-05 00:04:48.947: INFO @metrics_hook: valid age_mae: 8.903 +-0.286 (3986) 2021-02-05 00:04:48.947: INFO @metrics_hook: valid gender_accuracy: 0.874 +-0.011 (3986) 2021-02-05 00:04:50.188: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:04:50.188: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:04:50.188: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:04:50.188: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:04:50.268: INFO @evaluate_confidence: Previous accuracy would be: 87.31 2021-02-05 00:04:50.268: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:04:50.273: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.98, 93.18, 93.41, 93.6, 93.79, 93.95, 94.2, 94.37, 94.55, 94.77, 94.85, 95.09, 95.3, 95.46, 95.66, 95.84, 95.93, 96.15, 96.31, 96.48, 96.63, 96.7, 96.85, 96.96, 97.14] 2021-02-05 00:04:50.274: INFO @evaluate_confidence: Dropped ratios are: [23.94, 25.02, 26.17, 27.28, 28.46, 29.53, 30.63, 31.76, 32.85, 33.95, 35.02, 36.09, 37.25, 38.26, 39.41, 40.69, 41.77, 43.04, 44.09, 45.29, 46.35, 47.61, 48.71, 49.71, 50.92] 2021-02-05 00:04:50.279: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:04:50.279: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.22 2021-02-05 00:04:50.280: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-05 00:04:50.280: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:04:50.371: INFO @evaluate_confidence: Previous accuracy would be: 42.28 2021-02-05 00:04:50.372: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:04:50.375: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.44, 56.64, 57.7, 58.91, 60.26, 61.36, 62.78, 63.83, 65.02, 65.98, 67.14, 68.46, 69.87, 71.15] 2021-02-05 00:04:50.375: INFO @evaluate_confidence: Dropped ratios are: [48.72, 51.7, 54.65, 57.59, 60.31, 62.48, 64.68, 66.66, 68.59, 70.26, 72.05, 73.68, 74.83, 76.22] 2021-02-05 00:04:50.377: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:04:50.377: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:04:50.377: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-05 00:04:50.377: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:04:50.448: INFO @evaluate_confidence: Previous accuracy would be: 87.38 2021-02-05 00:04:50.448: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:04:50.450: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.73, 92.91, 93.0, 93.44, 93.64, 93.91, 94.06, 94.23, 94.37, 94.57, 94.53, 94.93, 95.21, 95.55, 95.72, 96.12, 96.41, 96.44, 96.59, 96.62, 96.75, 97.0, 97.39, 97.53, 97.54] 2021-02-05 00:04:50.450: INFO @evaluate_confidence: Dropped ratios are: [20.65, 21.8, 22.93, 24.28, 25.44, 26.67, 27.8, 29.08, 30.08, 31.11, 32.14, 33.24, 34.07, 35.2, 36.13, 37.33, 38.43, 39.41, 40.39, 41.42, 42.88, 43.9, 45.11, 46.11, 47.06] 2021-02-05 00:04:50.452: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:04:50.452: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:04:50.452: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.13 2021-02-05 00:04:50.452: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:04:50.534: INFO @evaluate_confidence: Previous accuracy would be: 42.57 2021-02-05 00:04:50.535: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:04:50.536: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.17, 53.19, 54.69, 56.04, 57.15, 58.31, 58.92, 59.85, 60.95] 2021-02-05 00:04:50.536: INFO @evaluate_confidence: Dropped ratios are: [52.11, 55.62, 58.58, 61.59, 64.58, 67.26, 69.22, 70.82, 72.5] 2021-02-05 00:04:50.545: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:04:50.895: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:50.959: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:04:51.218: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:51.277: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:04:51.623: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:51.684: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:04:51.684: INFO @evaluate_gender-age_model: groups 0 6.137112 1 9.622526 2 9.587643 3 8.469508 4 8.907546 5 9.785345 6 10.122961 7 8.932583 Name: errors, dtype: float64 2021-02-05 00:04:51.685: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:04:51.941: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:04:52.000: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:04:52.001: INFO @evaluate_gender-age_model: groups 0 6.176159 1 8.108380 2 9.042507 3 8.357362 4 9.601790 5 9.544686 6 9.908918 7 8.341153 Name: errors, dtype: float64 2021-02-05 00:04:52.094: INFO @decay_lr : LR updated to `0.00011008721` 2021-02-05 00:04:52.095: INFO @log_profile : T train: 12.325240 2021-02-05 00:04:52.095: INFO @log_profile : T valid: 1.543408 2021-02-05 00:04:52.095: INFO @log_profile : T read data: 0.504359 2021-02-05 00:04:52.095: INFO @log_profile : T hooks: 5.666525 2021-02-05 00:04:52.095: INFO @main_loop : Epoch 200 done 2021-02-05 00:04:52.095: INFO @main_loop : Training epoch 201 2021-02-05 00:05:07.651: INFO @log_variables: train loss nanmean: 1.261455 2021-02-05 00:05:07.651: INFO @log_variables: train age_loss mean: 9.527228 2021-02-05 00:05:07.651: INFO @log_variables: train gender_loss mean: 0.293048 2021-02-05 00:05:07.651: INFO @log_variables: train age_mae mean: 8.947319 2021-02-05 00:05:07.651: INFO @log_variables: train gender_accuracy mean: 0.875072 2021-02-05 00:05:07.651: INFO @log_variables: train gender_confidence/loss nanmean: 0.071203 2021-02-05 00:05:07.651: INFO @log_variables: train gender_confidence/accuracy mean: 0.768301 2021-02-05 00:05:07.651: INFO @log_variables: train age_confidence/loss mean: 0.057734 2021-02-05 00:05:07.651: INFO @log_variables: train age_confidence/accuracy mean: 0.665075 2021-02-05 00:05:07.652: INFO @log_variables: valid loss nanmean: 1.238937 2021-02-05 00:05:07.652: INFO @log_variables: valid age_loss mean: 9.264328 2021-02-05 00:05:07.652: INFO @log_variables: valid gender_loss mean: 0.287049 2021-02-05 00:05:07.652: INFO @log_variables: valid age_mae mean: 8.673040 2021-02-05 00:05:07.652: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:05:07.652: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072505 2021-02-05 00:05:07.652: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834420 2021-02-05 00:05:07.652: INFO @log_variables: valid age_confidence/loss mean: 0.063267 2021-02-05 00:05:07.652: INFO @log_variables: valid age_confidence/accuracy mean: 0.637481 2021-02-05 00:05:07.652: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:05:07.654: INFO @metrics_hook: train age_mae: 8.947 +-0.152 (13824) 2021-02-05 00:05:07.655: INFO @metrics_hook: train gender_accuracy: 0.875 +-0.006 (13824) 2021-02-05 00:05:09.136: INFO @metrics_hook: valid age_mae: 8.673 +-0.269 (3986) 2021-02-05 00:05:09.136: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:05:10.542: INFO @decay_lr : LR updated to `0.00010953678` 2021-02-05 00:05:10.543: INFO @log_profile : T train: 12.909905 2021-02-05 00:05:10.543: INFO @log_profile : T valid: 1.597744 2021-02-05 00:05:10.543: INFO @log_profile : T read data: 0.399881 2021-02-05 00:05:10.543: INFO @log_profile : T hooks: 3.490955 2021-02-05 00:05:10.543: INFO @main_loop : Epoch 201 done 2021-02-05 00:05:10.543: INFO @main_loop : Training epoch 202 2021-02-05 00:05:26.372: INFO @log_variables: train loss nanmean: 1.257570 2021-02-05 00:05:26.372: INFO @log_variables: train age_loss mean: 9.512147 2021-02-05 00:05:26.372: INFO @log_variables: train gender_loss mean: 0.291565 2021-02-05 00:05:26.372: INFO @log_variables: train age_mae mean: 8.935680 2021-02-05 00:05:26.372: INFO @log_variables: train gender_accuracy mean: 0.876005 2021-02-05 00:05:26.372: INFO @log_variables: train gender_confidence/loss nanmean: 0.070676 2021-02-05 00:05:26.372: INFO @log_variables: train gender_confidence/accuracy mean: 0.777142 2021-02-05 00:05:26.372: INFO @log_variables: train age_confidence/loss mean: 0.057095 2021-02-05 00:05:26.372: INFO @log_variables: train age_confidence/accuracy mean: 0.671036 2021-02-05 00:05:26.372: INFO @log_variables: valid loss nanmean: 1.239981 2021-02-05 00:05:26.373: INFO @log_variables: valid age_loss mean: 9.311461 2021-02-05 00:05:26.373: INFO @log_variables: valid gender_loss mean: 0.285015 2021-02-05 00:05:26.373: INFO @log_variables: valid age_mae mean: 8.723264 2021-02-05 00:05:26.373: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:05:26.373: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072376 2021-02-05 00:05:26.373: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839438 2021-02-05 00:05:26.373: INFO @log_variables: valid age_confidence/loss mean: 0.062003 2021-02-05 00:05:26.373: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-05 00:05:26.373: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:05:26.375: INFO @metrics_hook: train age_mae: 8.936 +-0.150 (13807) 2021-02-05 00:05:26.376: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13807) 2021-02-05 00:05:27.789: INFO @metrics_hook: valid age_mae: 8.723 +-0.268 (3986) 2021-02-05 00:05:27.790: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:05:28.996: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:05:28.996: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:05:28.996: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:05:28.997: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:05:29.074: INFO @evaluate_confidence: Previous accuracy would be: 87.60 2021-02-05 00:05:29.074: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:05:29.079: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.96, 93.18, 93.47, 93.79, 93.99, 94.2, 94.48, 94.64, 94.85, 94.98, 95.06, 95.22, 95.35, 95.46, 95.65, 95.72, 95.95, 96.09, 96.31, 96.39, 96.58, 96.75, 96.88, 97.09, 97.2] 2021-02-05 00:05:29.079: INFO @evaluate_confidence: Dropped ratios are: [23.17, 24.37, 25.62, 26.7, 27.73, 28.97, 30.16, 31.35, 32.51, 33.62, 34.77, 35.82, 36.81, 37.98, 39.22, 40.22, 41.56, 42.6, 43.66, 44.69, 45.92, 47.01, 48.22, 49.45, 50.61] 2021-02-05 00:05:29.085: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:05:29.085: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:05:29.085: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:05:29.085: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:05:29.173: INFO @evaluate_confidence: Previous accuracy would be: 42.19 2021-02-05 00:05:29.173: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:05:29.176: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.03, 56.07, 57.47, 58.27, 59.81, 60.97, 62.37, 63.42, 64.51, 65.54, 66.88, 67.9, 68.81] 2021-02-05 00:05:29.176: INFO @evaluate_confidence: Dropped ratios are: [50.57, 53.51, 56.32, 58.54, 61.03, 63.35, 65.49, 67.39, 69.18, 70.8, 72.47, 74.08, 75.48] 2021-02-05 00:05:29.178: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:05:29.178: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:05:29.178: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:05:29.178: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:05:29.250: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:05:29.250: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:05:29.252: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.16, 93.21, 93.41, 93.59, 93.74, 93.8, 93.99, 94.41, 94.56, 95.04, 95.09, 95.38, 95.67, 95.93, 96.27, 96.53, 96.74, 96.9, 97.04, 97.2, 97.26, 97.31, 97.31, 97.31, 97.6] 2021-02-05 00:05:29.252: INFO @evaluate_confidence: Dropped ratios are: [19.64, 20.57, 21.58, 22.5, 23.43, 24.36, 25.24, 26.39, 27.57, 28.73, 29.53, 30.43, 31.69, 32.89, 34.02, 35.0, 36.08, 36.9, 38.13, 39.11, 40.47, 41.32, 42.07, 43.2, 44.58] 2021-02-05 00:05:29.254: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:05:29.254: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:05:29.254: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:05:29.254: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:05:29.345: INFO @evaluate_confidence: Previous accuracy would be: 42.72 2021-02-05 00:05:29.345: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:05:29.346: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.08, 55.19, 56.41, 57.76, 59.18, 60.0, 61.55, 62.56, 63.22] 2021-02-05 00:05:29.346: INFO @evaluate_confidence: Dropped ratios are: [52.31, 55.49, 59.13, 62.52, 65.7, 68.14, 70.57, 73.13, 75.24] 2021-02-05 00:05:29.356: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:05:29.759: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:05:29.818: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:05:30.089: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:05:30.243: INFO @decay_lr : LR updated to `0.000108989094` 2021-02-05 00:05:30.244: INFO @log_profile : T train: 13.035840 2021-02-05 00:05:30.244: INFO @log_profile : T valid: 1.636239 2021-02-05 00:05:30.244: INFO @log_profile : T read data: 0.505214 2021-02-05 00:05:30.244: INFO @log_profile : T hooks: 4.474584 2021-02-05 00:05:30.244: INFO @main_loop : Epoch 202 done 2021-02-05 00:05:30.244: INFO @main_loop : Training epoch 203 2021-02-05 00:05:45.050: INFO @log_variables: train loss nanmean: 1.269480 2021-02-05 00:05:45.050: INFO @log_variables: train age_loss mean: 9.541355 2021-02-05 00:05:45.050: INFO @log_variables: train gender_loss mean: 0.300496 2021-02-05 00:05:45.050: INFO @log_variables: train age_mae mean: 8.962288 2021-02-05 00:05:45.051: INFO @log_variables: train gender_accuracy mean: 0.872757 2021-02-05 00:05:45.051: INFO @log_variables: train gender_confidence/loss nanmean: 0.071392 2021-02-05 00:05:45.051: INFO @log_variables: train gender_confidence/accuracy mean: 0.767144 2021-02-05 00:05:45.051: INFO @log_variables: train age_confidence/loss mean: 0.057515 2021-02-05 00:05:45.051: INFO @log_variables: train age_confidence/accuracy mean: 0.671296 2021-02-05 00:05:45.051: INFO @log_variables: valid loss nanmean: 1.236701 2021-02-05 00:05:45.051: INFO @log_variables: valid age_loss mean: 9.232530 2021-02-05 00:05:45.051: INFO @log_variables: valid gender_loss mean: 0.287419 2021-02-05 00:05:45.051: INFO @log_variables: valid age_mae mean: 8.646164 2021-02-05 00:05:45.051: INFO @log_variables: valid gender_accuracy mean: 0.883593 2021-02-05 00:05:45.051: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073282 2021-02-05 00:05:45.051: INFO @log_variables: valid gender_confidence/accuracy mean: 0.832163 2021-02-05 00:05:45.051: INFO @log_variables: valid age_confidence/loss mean: 0.062807 2021-02-05 00:05:45.051: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:05:45.051: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:05:45.053: INFO @metrics_hook: train age_mae: 8.962 +-0.150 (13824) 2021-02-05 00:05:45.055: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13824) 2021-02-05 00:05:46.446: INFO @metrics_hook: valid age_mae: 8.646 +-0.268 (3986) 2021-02-05 00:05:46.447: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:05:47.742: INFO @decay_lr : LR updated to `0.00010844415` 2021-02-05 00:05:47.743: INFO @log_profile : T train: 12.285664 2021-02-05 00:05:47.743: INFO @log_profile : T valid: 1.489354 2021-02-05 00:05:47.743: INFO @log_profile : T read data: 0.394117 2021-02-05 00:05:47.743: INFO @log_profile : T hooks: 3.284038 2021-02-05 00:05:47.743: INFO @main_loop : Epoch 203 done 2021-02-05 00:05:47.743: INFO @main_loop : Training epoch 204 2021-02-05 00:06:02.391: INFO @log_variables: train loss nanmean: 1.273039 2021-02-05 00:06:02.391: INFO @log_variables: train age_loss mean: 9.601390 2021-02-05 00:06:02.391: INFO @log_variables: train gender_loss mean: 0.298854 2021-02-05 00:06:02.391: INFO @log_variables: train age_mae mean: 9.023051 2021-02-05 00:06:02.391: INFO @log_variables: train gender_accuracy mean: 0.871962 2021-02-05 00:06:02.392: INFO @log_variables: train gender_confidence/loss nanmean: 0.071475 2021-02-05 00:06:02.392: INFO @log_variables: train gender_confidence/accuracy mean: 0.771484 2021-02-05 00:06:02.392: INFO @log_variables: train age_confidence/loss mean: 0.057025 2021-02-05 00:06:02.392: INFO @log_variables: train age_confidence/accuracy mean: 0.671152 2021-02-05 00:06:02.392: INFO @log_variables: valid loss nanmean: 1.237444 2021-02-05 00:06:02.392: INFO @log_variables: valid age_loss mean: 9.239734 2021-02-05 00:06:02.392: INFO @log_variables: valid gender_loss mean: 0.288319 2021-02-05 00:06:02.392: INFO @log_variables: valid age_mae mean: 8.654506 2021-02-05 00:06:02.392: INFO @log_variables: valid gender_accuracy mean: 0.881836 2021-02-05 00:06:02.392: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075261 2021-02-05 00:06:02.392: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835424 2021-02-05 00:06:02.392: INFO @log_variables: valid age_confidence/loss mean: 0.060099 2021-02-05 00:06:02.392: INFO @log_variables: valid age_confidence/accuracy mean: 0.655544 2021-02-05 00:06:02.392: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:06:02.394: INFO @metrics_hook: train age_mae: 9.023 +-0.151 (13824) 2021-02-05 00:06:02.396: INFO @metrics_hook: train gender_accuracy: 0.872 +-0.006 (13824) 2021-02-05 00:06:03.856: INFO @metrics_hook: valid age_mae: 8.655 +-0.265 (3986) 2021-02-05 00:06:03.856: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:06:05.090: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:06:05.090: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.72 +- 0.22 2021-02-05 00:06:05.090: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:06:05.090: INFO @evaluate_confidence: Average confidence of all samples 0.69 +- 0.23 2021-02-05 00:06:05.167: INFO @evaluate_confidence: Previous accuracy would be: 87.20 2021-02-05 00:06:05.167: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72] 2021-02-05 00:06:05.172: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.84, 93.06, 93.32, 93.45, 93.56, 93.79, 93.98, 94.22, 94.41, 94.62, 94.86, 95.06, 95.2, 95.34, 95.45, 95.77, 95.95, 96.08, 96.23, 96.33, 96.49, 96.59, 96.8, 97.01] 2021-02-05 00:06:05.172: INFO @evaluate_confidence: Dropped ratios are: [24.07, 25.28, 26.34, 27.62, 28.71, 29.85, 31.14, 32.24, 33.56, 34.98, 36.22, 37.2, 38.24, 39.4, 40.48, 41.69, 42.87, 43.95, 45.12, 46.33, 47.47, 48.6, 49.64, 50.86] 2021-02-05 00:06:05.178: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:06:05.178: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.21 2021-02-05 00:06:05.178: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.39 +- 0.12 2021-02-05 00:06:05.178: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:06:05.270: INFO @evaluate_confidence: Previous accuracy would be: 41.92 2021-02-05 00:06:05.270: INFO @evaluate_confidence: Possible optimal thresholds are: [0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:06:05.273: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.14, 55.27, 56.68, 58.04, 59.32, 60.45, 61.59, 62.75, 64.02, 65.24, 66.1, 67.66, 69.34] 2021-02-05 00:06:05.273: INFO @evaluate_confidence: Dropped ratios are: [49.73, 52.81, 55.97, 58.7, 60.97, 63.48, 65.61, 67.59, 69.38, 71.24, 72.9, 74.41, 75.98] 2021-02-05 00:06:05.275: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:06:05.275: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:06:05.275: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.18 2021-02-05 00:06:05.275: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:06:05.347: INFO @evaluate_confidence: Previous accuracy would be: 88.18 2021-02-05 00:06:05.347: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:06:05.349: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.51, 93.73, 93.95, 94.09, 94.3, 94.55, 94.76, 95.01, 95.22, 95.31, 95.43, 95.53, 95.69, 95.86, 96.05, 96.25, 96.47, 96.61, 96.66, 96.88, 97.0, 97.03, 97.09, 97.12, 97.2] 2021-02-05 00:06:05.349: INFO @evaluate_confidence: Dropped ratios are: [19.94, 20.75, 22.0, 23.16, 23.88, 24.96, 25.79, 26.54, 27.55, 28.37, 29.78, 30.91, 31.91, 32.79, 33.99, 35.1, 36.03, 37.18, 38.38, 39.64, 40.62, 41.67, 43.05, 44.15, 45.33] 2021-02-05 00:06:05.350: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:06:05.350: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.17 2021-02-05 00:06:05.350: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.10 2021-02-05 00:06:05.351: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.14 2021-02-05 00:06:05.442: INFO @evaluate_confidence: Previous accuracy would be: 42.30 2021-02-05 00:06:05.442: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:06:05.443: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.3, 55.1, 56.67, 58.66, 59.82, 61.25, 62.54, 62.85, 64.93, 66.35] 2021-02-05 00:06:05.443: INFO @evaluate_confidence: Dropped ratios are: [49.87, 53.51, 56.57, 60.01, 62.97, 66.21, 68.79, 71.1, 73.53, 75.99] 2021-02-05 00:06:05.452: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:06:05.803: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:06:05.861: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:06:06.110: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:06:06.258: INFO @decay_lr : LR updated to `0.00010790193` 2021-02-05 00:06:06.259: INFO @log_profile : T train: 12.294579 2021-02-05 00:06:06.259: INFO @log_profile : T valid: 1.331864 2021-02-05 00:06:06.259: INFO @log_profile : T read data: 0.393675 2021-02-05 00:06:06.259: INFO @log_profile : T hooks: 4.449114 2021-02-05 00:06:06.259: INFO @main_loop : Epoch 204 done 2021-02-05 00:06:06.259: INFO @main_loop : Training epoch 205 2021-02-05 00:06:21.405: INFO @log_variables: train loss nanmean: 1.269203 2021-02-05 00:06:21.405: INFO @log_variables: train age_loss mean: 9.564293 2021-02-05 00:06:21.405: INFO @log_variables: train gender_loss mean: 0.300010 2021-02-05 00:06:21.405: INFO @log_variables: train age_mae mean: 8.984490 2021-02-05 00:06:21.405: INFO @log_variables: train gender_accuracy mean: 0.870790 2021-02-05 00:06:21.405: INFO @log_variables: train gender_confidence/loss nanmean: 0.070240 2021-02-05 00:06:21.405: INFO @log_variables: train gender_confidence/accuracy mean: 0.774824 2021-02-05 00:06:21.406: INFO @log_variables: train age_confidence/loss mean: 0.056745 2021-02-05 00:06:21.406: INFO @log_variables: train age_confidence/accuracy mean: 0.679655 2021-02-05 00:06:21.406: INFO @log_variables: valid loss nanmean: 1.224628 2021-02-05 00:06:21.406: INFO @log_variables: valid age_loss mean: 9.159660 2021-02-05 00:06:21.406: INFO @log_variables: valid gender_loss mean: 0.285179 2021-02-05 00:06:21.406: INFO @log_variables: valid age_mae mean: 8.572992 2021-02-05 00:06:21.406: INFO @log_variables: valid gender_accuracy mean: 0.880833 2021-02-05 00:06:21.406: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071161 2021-02-05 00:06:21.406: INFO @log_variables: valid gender_confidence/accuracy mean: 0.831661 2021-02-05 00:06:21.406: INFO @log_variables: valid age_confidence/loss mean: 0.061516 2021-02-05 00:06:21.406: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-05 00:06:21.406: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:06:21.408: INFO @metrics_hook: train age_mae: 8.984 +-0.152 (13807) 2021-02-05 00:06:21.410: INFO @metrics_hook: train gender_accuracy: 0.871 +-0.006 (13807) 2021-02-05 00:06:22.866: INFO @metrics_hook: valid age_mae: 8.573 +-0.263 (3986) 2021-02-05 00:06:22.867: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:06:24.202: INFO @decay_lr : LR updated to `0.000107362415` 2021-02-05 00:06:24.203: INFO @log_profile : T train: 12.484892 2021-02-05 00:06:24.203: INFO @log_profile : T valid: 1.532230 2021-02-05 00:06:24.203: INFO @log_profile : T read data: 0.488619 2021-02-05 00:06:24.203: INFO @log_profile : T hooks: 3.391981 2021-02-05 00:06:24.203: INFO @main_loop : Epoch 205 done 2021-02-05 00:06:24.203: INFO @main_loop : Training epoch 206 2021-02-05 00:06:39.856: INFO @log_variables: train loss nanmean: 1.258626 2021-02-05 00:06:39.856: INFO @log_variables: train age_loss mean: 9.536557 2021-02-05 00:06:39.856: INFO @log_variables: train gender_loss mean: 0.290412 2021-02-05 00:06:39.856: INFO @log_variables: train age_mae mean: 8.954419 2021-02-05 00:06:39.856: INFO @log_variables: train gender_accuracy mean: 0.877586 2021-02-05 00:06:39.856: INFO @log_variables: train gender_confidence/loss nanmean: 0.070617 2021-02-05 00:06:39.856: INFO @log_variables: train gender_confidence/accuracy mean: 0.772464 2021-02-05 00:06:39.856: INFO @log_variables: train age_confidence/loss mean: 0.057038 2021-02-05 00:06:39.856: INFO @log_variables: train age_confidence/accuracy mean: 0.678556 2021-02-05 00:06:39.856: INFO @log_variables: valid loss nanmean: 1.243021 2021-02-05 00:06:39.856: INFO @log_variables: valid age_loss mean: 9.359956 2021-02-05 00:06:39.856: INFO @log_variables: valid gender_loss mean: 0.285867 2021-02-05 00:06:39.856: INFO @log_variables: valid age_mae mean: 8.770372 2021-02-05 00:06:39.857: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:06:39.857: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070793 2021-02-05 00:06:39.857: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835926 2021-02-05 00:06:39.857: INFO @log_variables: valid age_confidence/loss mean: 0.061444 2021-02-05 00:06:39.857: INFO @log_variables: valid age_confidence/accuracy mean: 0.642750 2021-02-05 00:06:39.857: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:06:39.859: INFO @metrics_hook: train age_mae: 8.954 +-0.150 (13822) 2021-02-05 00:06:39.860: INFO @metrics_hook: train gender_accuracy: 0.878 +-0.006 (13822) 2021-02-05 00:06:41.280: INFO @metrics_hook: valid age_mae: 8.770 +-0.270 (3986) 2021-02-05 00:06:41.280: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:06:42.527: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:06:42.527: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:06:42.527: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:06:42.527: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:06:42.610: INFO @evaluate_confidence: Previous accuracy would be: 87.76 2021-02-05 00:06:42.611: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:06:42.616: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.15, 93.3, 93.52, 93.83, 94.02, 94.2, 94.38, 94.46, 94.65, 94.85, 95.0, 95.22, 95.41, 95.6, 95.79, 96.01, 96.23, 96.39, 96.57, 96.67, 96.79, 96.91, 97.0, 97.08, 97.25] 2021-02-05 00:06:42.616: INFO @evaluate_confidence: Dropped ratios are: [23.7, 24.94, 26.01, 27.33, 28.3, 29.37, 30.45, 31.55, 32.74, 33.88, 35.05, 36.1, 37.24, 38.34, 39.47, 40.66, 41.84, 42.94, 44.1, 45.24, 46.19, 47.3, 48.39, 49.41, 50.51] 2021-02-05 00:06:42.622: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:06:42.622: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:06:42.622: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:06:42.622: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.18 2021-02-05 00:06:42.711: INFO @evaluate_confidence: Previous accuracy would be: 42.46 2021-02-05 00:06:42.711: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:06:42.714: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.76, 57.03, 58.3, 59.49, 60.72, 62.04, 63.42, 64.91, 65.93, 67.22, 68.55, 69.84, 71.02] 2021-02-05 00:06:42.714: INFO @evaluate_confidence: Dropped ratios are: [50.11, 53.06, 55.5, 58.15, 60.49, 62.76, 64.92, 67.15, 68.8, 70.56, 72.19, 73.71, 75.13] 2021-02-05 00:06:42.716: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:06:42.716: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:06:42.716: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-05 00:06:42.716: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:06:42.788: INFO @evaluate_confidence: Previous accuracy would be: 88.13 2021-02-05 00:06:42.788: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:06:42.790: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.24, 93.66, 93.82, 93.96, 94.14, 94.33, 94.59, 94.68, 94.91, 95.22, 95.39, 95.76, 95.92, 96.2, 96.41, 96.43, 96.69, 96.83, 96.82, 96.92, 96.95, 97.23, 97.3, 97.51, 97.65] 2021-02-05 00:06:42.790: INFO @evaluate_confidence: Dropped ratios are: [19.42, 20.52, 21.68, 22.73, 23.81, 24.74, 25.87, 26.89, 28.0, 29.13, 30.36, 31.33, 32.36, 33.32, 34.27, 35.4, 36.33, 37.53, 38.56, 39.69, 40.87, 41.97, 43.25, 44.51, 45.66] 2021-02-05 00:06:42.792: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:06:42.792: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.19 2021-02-05 00:06:42.792: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:06:42.792: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.16 2021-02-05 00:06:42.883: INFO @evaluate_confidence: Previous accuracy would be: 41.95 2021-02-05 00:06:42.883: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:06:42.884: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.67, 54.86, 56.16, 56.7, 57.7, 59.81, 60.55, 61.36, 61.86, 62.92] 2021-02-05 00:06:42.884: INFO @evaluate_confidence: Dropped ratios are: [52.13, 55.82, 58.86, 61.64, 64.83, 67.66, 69.92, 71.95, 74.08, 75.92] 2021-02-05 00:06:42.894: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:06:43.245: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:06:43.307: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:06:43.558: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:06:43.714: INFO @decay_lr : LR updated to `0.0001068256` 2021-02-05 00:06:43.716: INFO @log_profile : T train: 12.988043 2021-02-05 00:06:43.716: INFO @log_profile : T valid: 1.618742 2021-02-05 00:06:43.716: INFO @log_profile : T read data: 0.402478 2021-02-05 00:06:43.716: INFO @log_profile : T hooks: 4.453974 2021-02-05 00:06:43.716: INFO @main_loop : Epoch 206 done 2021-02-05 00:06:43.716: INFO @main_loop : Training epoch 207 2021-02-05 00:06:58.534: INFO @log_variables: train loss nanmean: 1.270051 2021-02-05 00:06:58.535: INFO @log_variables: train age_loss mean: 9.583368 2021-02-05 00:06:58.535: INFO @log_variables: train gender_loss mean: 0.296762 2021-02-05 00:06:58.535: INFO @log_variables: train age_mae mean: 9.002700 2021-02-05 00:06:58.535: INFO @log_variables: train gender_accuracy mean: 0.873047 2021-02-05 00:06:58.535: INFO @log_variables: train gender_confidence/loss nanmean: 0.072144 2021-02-05 00:06:58.535: INFO @log_variables: train gender_confidence/accuracy mean: 0.767289 2021-02-05 00:06:58.535: INFO @log_variables: train age_confidence/loss mean: 0.056909 2021-02-05 00:06:58.535: INFO @log_variables: train age_confidence/accuracy mean: 0.677228 2021-02-05 00:06:58.535: INFO @log_variables: valid loss nanmean: 1.229882 2021-02-05 00:06:58.535: INFO @log_variables: valid age_loss mean: 9.166212 2021-02-05 00:06:58.535: INFO @log_variables: valid gender_loss mean: 0.288320 2021-02-05 00:06:58.535: INFO @log_variables: valid age_mae mean: 8.575313 2021-02-05 00:06:58.535: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:06:58.535: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071433 2021-02-05 00:06:58.535: INFO @log_variables: valid gender_confidence/accuracy mean: 0.831661 2021-02-05 00:06:58.535: INFO @log_variables: valid age_confidence/loss mean: 0.063047 2021-02-05 00:06:58.536: INFO @log_variables: valid age_confidence/accuracy mean: 0.630457 2021-02-05 00:06:58.536: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:06:58.537: INFO @metrics_hook: train age_mae: 9.003 +-0.152 (13824) 2021-02-05 00:06:58.539: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13824) 2021-02-05 00:06:59.989: INFO @metrics_hook: valid age_mae: 8.575 +-0.271 (3986) 2021-02-05 00:06:59.989: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:07:01.353: INFO @decay_lr : LR updated to `0.000106291474` 2021-02-05 00:07:01.354: INFO @log_profile : T train: 12.331615 2021-02-05 00:07:01.354: INFO @log_profile : T valid: 1.446199 2021-02-05 00:07:01.354: INFO @log_profile : T read data: 0.397709 2021-02-05 00:07:01.355: INFO @log_profile : T hooks: 3.415789 2021-02-05 00:07:01.355: INFO @main_loop : Epoch 207 done 2021-02-05 00:07:01.355: INFO @main_loop : Training epoch 208 2021-02-05 00:07:16.892: INFO @log_variables: train loss nanmean: 1.254717 2021-02-05 00:07:16.892: INFO @log_variables: train age_loss mean: 9.426142 2021-02-05 00:07:16.892: INFO @log_variables: train gender_loss mean: 0.295656 2021-02-05 00:07:16.892: INFO @log_variables: train age_mae mean: 8.849144 2021-02-05 00:07:16.892: INFO @log_variables: train gender_accuracy mean: 0.874556 2021-02-05 00:07:16.892: INFO @log_variables: train gender_confidence/loss nanmean: 0.071724 2021-02-05 00:07:16.893: INFO @log_variables: train gender_confidence/accuracy mean: 0.771058 2021-02-05 00:07:16.893: INFO @log_variables: train age_confidence/loss mean: 0.057293 2021-02-05 00:07:16.893: INFO @log_variables: train age_confidence/accuracy mean: 0.671254 2021-02-05 00:07:16.893: INFO @log_variables: valid loss nanmean: 1.219864 2021-02-05 00:07:16.893: INFO @log_variables: valid age_loss mean: 9.098531 2021-02-05 00:07:16.893: INFO @log_variables: valid gender_loss mean: 0.284684 2021-02-05 00:07:16.893: INFO @log_variables: valid age_mae mean: 8.514174 2021-02-05 00:07:16.893: INFO @log_variables: valid gender_accuracy mean: 0.884596 2021-02-05 00:07:16.893: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071371 2021-02-05 00:07:16.893: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836177 2021-02-05 00:07:16.893: INFO @log_variables: valid age_confidence/loss mean: 0.062551 2021-02-05 00:07:16.893: INFO @log_variables: valid age_confidence/accuracy mean: 0.641746 2021-02-05 00:07:16.893: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:07:16.894: INFO @metrics_hook: train age_mae: 8.849 +-0.149 (13807) 2021-02-05 00:07:16.896: INFO @metrics_hook: train gender_accuracy: 0.875 +-0.006 (13807) 2021-02-05 00:07:18.316: INFO @metrics_hook: valid age_mae: 8.514 +-0.266 (3986) 2021-02-05 00:07:18.316: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:07:19.643: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:07:19.643: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:07:19.643: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:07:19.643: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:07:19.738: INFO @evaluate_confidence: Previous accuracy would be: 87.46 2021-02-05 00:07:19.739: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:07:19.744: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.85, 93.05, 93.27, 93.46, 93.64, 93.86, 94.07, 94.24, 94.34, 94.55, 94.77, 95.0, 95.13, 95.23, 95.42, 95.58, 95.71, 95.81, 95.97, 96.11, 96.29, 96.47, 96.62, 96.82, 96.95] 2021-02-05 00:07:19.744: INFO @evaluate_confidence: Dropped ratios are: [23.71, 25.01, 26.13, 27.25, 28.36, 29.56, 30.65, 31.65, 32.89, 33.98, 35.08, 36.22, 37.41, 38.44, 39.55, 40.69, 41.74, 42.97, 44.04, 45.1, 46.32, 47.63, 48.74, 49.95, 51.25] 2021-02-05 00:07:19.750: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:07:19.750: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:07:19.750: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:07:19.750: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:07:19.851: INFO @evaluate_confidence: Previous accuracy would be: 42.64 2021-02-05 00:07:19.851: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:07:19.856: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.95, 57.25, 58.52, 59.82, 60.98, 62.18, 63.2, 64.66, 65.47, 66.36, 67.47, 68.58, 69.86] 2021-02-05 00:07:19.856: INFO @evaluate_confidence: Dropped ratios are: [50.51, 53.56, 56.16, 58.75, 61.01, 63.21, 65.08, 67.09, 68.89, 70.54, 72.06, 73.59, 75.01] 2021-02-05 00:07:19.858: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:07:19.858: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:07:19.858: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-05 00:07:19.858: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:07:19.946: INFO @evaluate_confidence: Previous accuracy would be: 88.46 2021-02-05 00:07:19.946: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:07:19.948: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.81, 93.86, 93.98, 94.2, 94.39, 94.64, 95.03, 95.28, 95.4, 95.63, 95.92, 96.09, 96.24, 96.29, 96.38, 96.63, 96.74, 96.81, 96.92, 97.03, 97.18, 97.42, 97.5, 97.58, 97.71] 2021-02-05 00:07:19.948: INFO @evaluate_confidence: Dropped ratios are: [20.15, 21.15, 22.05, 22.98, 24.41, 25.51, 26.82, 28.17, 29.03, 30.01, 31.06, 31.96, 33.19, 34.42, 35.5, 36.8, 37.68, 38.64, 39.79, 40.79, 42.1, 43.63, 44.76, 46.04, 47.34] 2021-02-05 00:07:19.950: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:07:19.950: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:07:19.950: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:07:19.950: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:07:20.055: INFO @evaluate_confidence: Previous accuracy would be: 43.50 2021-02-05 00:07:20.055: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:07:20.056: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.92, 54.95, 56.81, 58.26, 59.21, 60.8, 61.46, 62.68, 63.7, 64.68] 2021-02-05 00:07:20.056: INFO @evaluate_confidence: Dropped ratios are: [49.42, 53.16, 56.55, 59.31, 62.29, 65.05, 67.59, 69.82, 72.08, 73.86] 2021-02-05 00:07:20.065: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:07:20.492: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:20.549: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:07:20.861: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:21.030: INFO @decay_lr : LR updated to `0.00010576002` 2021-02-05 00:07:21.031: INFO @log_profile : T train: 12.869965 2021-02-05 00:07:21.031: INFO @log_profile : T valid: 1.526187 2021-02-05 00:07:21.031: INFO @log_profile : T read data: 0.509467 2021-02-05 00:07:21.031: INFO @log_profile : T hooks: 4.722310 2021-02-05 00:07:21.032: INFO @main_loop : Epoch 208 done 2021-02-05 00:07:21.032: INFO @main_loop : Training epoch 209 2021-02-05 00:07:36.589: INFO @log_variables: train loss nanmean: 1.244308 2021-02-05 00:07:36.589: INFO @log_variables: train age_loss mean: 9.348662 2021-02-05 00:07:36.589: INFO @log_variables: train gender_loss mean: 0.293396 2021-02-05 00:07:36.589: INFO @log_variables: train age_mae mean: 8.775071 2021-02-05 00:07:36.589: INFO @log_variables: train gender_accuracy mean: 0.873843 2021-02-05 00:07:36.589: INFO @log_variables: train gender_confidence/loss nanmean: 0.069556 2021-02-05 00:07:36.589: INFO @log_variables: train gender_confidence/accuracy mean: 0.779514 2021-02-05 00:07:36.589: INFO @log_variables: train age_confidence/loss mean: 0.058150 2021-02-05 00:07:36.589: INFO @log_variables: train age_confidence/accuracy mean: 0.665654 2021-02-05 00:07:36.589: INFO @log_variables: valid loss nanmean: 1.235435 2021-02-05 00:07:36.589: INFO @log_variables: valid age_loss mean: 9.256573 2021-02-05 00:07:36.589: INFO @log_variables: valid gender_loss mean: 0.285710 2021-02-05 00:07:36.589: INFO @log_variables: valid age_mae mean: 8.664539 2021-02-05 00:07:36.589: INFO @log_variables: valid gender_accuracy mean: 0.883091 2021-02-05 00:07:36.589: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072461 2021-02-05 00:07:36.589: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836678 2021-02-05 00:07:36.590: INFO @log_variables: valid age_confidence/loss mean: 0.061730 2021-02-05 00:07:36.590: INFO @log_variables: valid age_confidence/accuracy mean: 0.637732 2021-02-05 00:07:36.590: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:07:36.591: INFO @metrics_hook: train age_mae: 8.775 +-0.150 (13824) 2021-02-05 00:07:36.593: INFO @metrics_hook: train gender_accuracy: 0.874 +-0.006 (13824) 2021-02-05 00:07:37.994: INFO @metrics_hook: valid age_mae: 8.665 +-0.276 (3986) 2021-02-05 00:07:37.994: INFO @metrics_hook: valid gender_accuracy: 0.883 +-0.010 (3986) 2021-02-05 00:07:39.306: INFO @decay_lr : LR updated to `0.000105231215` 2021-02-05 00:07:39.307: INFO @log_profile : T train: 12.895167 2021-02-05 00:07:39.307: INFO @log_profile : T valid: 1.610998 2021-02-05 00:07:39.307: INFO @log_profile : T read data: 0.404213 2021-02-05 00:07:39.307: INFO @log_profile : T hooks: 3.316366 2021-02-05 00:07:39.307: INFO @main_loop : Epoch 209 done 2021-02-05 00:07:39.307: INFO @main_loop : Training epoch 210 2021-02-05 00:07:54.737: INFO @log_variables: train loss nanmean: 1.259050 2021-02-05 00:07:54.737: INFO @log_variables: train age_loss mean: 9.517329 2021-02-05 00:07:54.737: INFO @log_variables: train gender_loss mean: 0.292431 2021-02-05 00:07:54.737: INFO @log_variables: train age_mae mean: 8.938519 2021-02-05 00:07:54.737: INFO @log_variables: train gender_accuracy mean: 0.877243 2021-02-05 00:07:54.738: INFO @log_variables: train gender_confidence/loss nanmean: 0.070178 2021-02-05 00:07:54.738: INFO @log_variables: train gender_confidence/accuracy mean: 0.773220 2021-02-05 00:07:54.738: INFO @log_variables: train age_confidence/loss mean: 0.057814 2021-02-05 00:07:54.738: INFO @log_variables: train age_confidence/accuracy mean: 0.672237 2021-02-05 00:07:54.738: INFO @log_variables: valid loss nanmean: 1.221192 2021-02-05 00:07:54.738: INFO @log_variables: valid age_loss mean: 9.120115 2021-02-05 00:07:54.738: INFO @log_variables: valid gender_loss mean: 0.284610 2021-02-05 00:07:54.738: INFO @log_variables: valid age_mae mean: 8.535336 2021-02-05 00:07:54.738: INFO @log_variables: valid gender_accuracy mean: 0.880582 2021-02-05 00:07:54.738: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071280 2021-02-05 00:07:54.738: INFO @log_variables: valid gender_confidence/accuracy mean: 0.831912 2021-02-05 00:07:54.738: INFO @log_variables: valid age_confidence/loss mean: 0.062074 2021-02-05 00:07:54.738: INFO @log_variables: valid age_confidence/accuracy mean: 0.640241 2021-02-05 00:07:54.738: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:07:54.740: INFO @metrics_hook: train age_mae: 8.939 +-0.152 (13824) 2021-02-05 00:07:54.742: INFO @metrics_hook: train gender_accuracy: 0.877 +-0.006 (13824) 2021-02-05 00:07:56.171: INFO @metrics_hook: valid age_mae: 8.535 +-0.269 (3986) 2021-02-05 00:07:56.171: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:07:57.406: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:07:57.406: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:07:57.407: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:07:57.407: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:07:57.485: INFO @evaluate_confidence: Previous accuracy would be: 87.72 2021-02-05 00:07:57.485: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:07:57.490: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.34, 93.58, 93.69, 93.9, 94.13, 94.27, 94.5, 94.65, 94.75, 95.0, 95.17, 95.31, 95.42, 95.57, 95.7, 95.86, 96.02, 96.14, 96.29, 96.43, 96.68, 96.79, 96.97, 97.11, 97.13] 2021-02-05 00:07:57.490: INFO @evaluate_confidence: Dropped ratios are: [24.18, 25.38, 26.36, 27.58, 28.66, 29.74, 30.88, 31.84, 32.91, 34.22, 35.34, 36.42, 37.49, 38.51, 39.47, 40.57, 41.64, 42.85, 44.02, 45.09, 46.11, 47.27, 48.39, 49.7, 50.9] 2021-02-05 00:07:57.496: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:07:57.496: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:07:57.496: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:07:57.496: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:07:57.589: INFO @evaluate_confidence: Previous accuracy would be: 43.19 2021-02-05 00:07:57.590: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:07:57.593: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.12, 57.45, 58.73, 59.95, 61.02, 62.31, 63.4, 64.69, 66.11, 67.62, 68.96, 69.82, 71.42] 2021-02-05 00:07:57.593: INFO @evaluate_confidence: Dropped ratios are: [49.02, 52.13, 55.03, 57.73, 60.24, 62.57, 64.82, 66.83, 68.92, 70.78, 72.5, 74.02, 75.53] 2021-02-05 00:07:57.595: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:07:57.595: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:07:57.595: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.18 2021-02-05 00:07:57.595: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:07:57.675: INFO @evaluate_confidence: Previous accuracy would be: 88.06 2021-02-05 00:07:57.675: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:07:57.677: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.48, 93.64, 93.85, 93.92, 94.23, 94.49, 94.71, 94.88, 95.08, 95.29, 95.35, 95.47, 95.7, 95.8, 95.92, 96.09, 96.38, 96.48, 96.84, 97.15, 97.48, 97.58, 97.57, 97.66, 97.7] 2021-02-05 00:07:57.677: INFO @evaluate_confidence: Dropped ratios are: [20.4, 21.55, 22.45, 23.21, 24.36, 25.36, 26.52, 27.42, 28.68, 29.75, 30.96, 31.91, 32.92, 33.77, 34.85, 35.85, 37.0, 37.93, 38.96, 40.12, 41.17, 42.02, 43.2, 44.18, 45.36] 2021-02-05 00:07:57.679: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:07:57.679: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:07:57.679: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:07:57.679: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:07:57.766: INFO @evaluate_confidence: Previous accuracy would be: 43.80 2021-02-05 00:07:57.766: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:07:57.767: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.93, 57.11, 58.7, 59.51, 61.17, 62.6, 63.43, 64.3, 65.06, 64.82] 2021-02-05 00:07:57.768: INFO @evaluate_confidence: Dropped ratios are: [52.18, 55.54, 59.36, 61.89, 64.73, 67.34, 70.02, 72.03, 74.01, 75.97] 2021-02-05 00:07:57.777: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:07:58.131: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:58.191: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:07:58.455: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:58.512: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:07:58.873: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:58.933: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:07:58.934: INFO @evaluate_gender-age_model: groups 0 6.174822 1 9.947648 2 9.785683 3 8.169911 4 9.165189 5 10.036599 6 9.581246 7 8.310153 Name: errors, dtype: float64 2021-02-05 00:07:58.934: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:07:59.200: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:07:59.254: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:07:59.254: INFO @evaluate_gender-age_model: groups 0 6.867424 1 8.979366 2 8.864200 3 7.503461 4 8.764004 5 9.440068 6 9.021644 7 7.799086 Name: errors, dtype: float64 2021-02-05 00:07:59.350: INFO @decay_lr : LR updated to `0.00010470506` 2021-02-05 00:07:59.353: INFO @log_profile : T train: 12.244148 2021-02-05 00:07:59.353: INFO @log_profile : T valid: 1.554677 2021-02-05 00:07:59.353: INFO @log_profile : T read data: 0.399597 2021-02-05 00:07:59.353: INFO @log_profile : T hooks: 5.801892 2021-02-05 00:07:59.353: INFO @main_loop : Epoch 210 done 2021-02-05 00:07:59.353: INFO @main_loop : Training epoch 211 2021-02-05 00:08:14.295: INFO @log_variables: train loss nanmean: 1.245432 2021-02-05 00:08:14.295: INFO @log_variables: train age_loss mean: 9.438589 2021-02-05 00:08:14.295: INFO @log_variables: train gender_loss mean: 0.286052 2021-02-05 00:08:14.295: INFO @log_variables: train age_mae mean: 8.862256 2021-02-05 00:08:14.295: INFO @log_variables: train gender_accuracy mean: 0.877960 2021-02-05 00:08:14.295: INFO @log_variables: train gender_confidence/loss nanmean: 0.070294 2021-02-05 00:08:14.295: INFO @log_variables: train gender_confidence/accuracy mean: 0.777721 2021-02-05 00:08:14.295: INFO @log_variables: train age_confidence/loss mean: 0.057038 2021-02-05 00:08:14.295: INFO @log_variables: train age_confidence/accuracy mean: 0.677048 2021-02-05 00:08:14.296: INFO @log_variables: valid loss nanmean: 1.250976 2021-02-05 00:08:14.296: INFO @log_variables: valid age_loss mean: 9.362822 2021-02-05 00:08:14.296: INFO @log_variables: valid gender_loss mean: 0.293586 2021-02-05 00:08:14.296: INFO @log_variables: valid age_mae mean: 8.770009 2021-02-05 00:08:14.296: INFO @log_variables: valid gender_accuracy mean: 0.876568 2021-02-05 00:08:14.296: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071111 2021-02-05 00:08:14.296: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837682 2021-02-05 00:08:14.296: INFO @log_variables: valid age_confidence/loss mean: 0.061803 2021-02-05 00:08:14.296: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:08:14.296: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:08:14.298: INFO @metrics_hook: train age_mae: 8.862 +-0.150 (13807) 2021-02-05 00:08:14.299: INFO @metrics_hook: train gender_accuracy: 0.878 +-0.006 (13807) 2021-02-05 00:08:15.723: INFO @metrics_hook: valid age_mae: 8.770 +-0.274 (3986) 2021-02-05 00:08:15.724: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-05 00:08:17.077: INFO @decay_lr : LR updated to `0.000104181534` 2021-02-05 00:08:17.078: INFO @log_profile : T train: 12.308973 2021-02-05 00:08:17.078: INFO @log_profile : T valid: 1.495967 2021-02-05 00:08:17.078: INFO @log_profile : T read data: 0.505269 2021-02-05 00:08:17.078: INFO @log_profile : T hooks: 3.369597 2021-02-05 00:08:17.078: INFO @main_loop : Epoch 211 done 2021-02-05 00:08:17.078: INFO @main_loop : Training epoch 212 2021-02-05 00:08:32.722: INFO @log_variables: train loss nanmean: 1.252895 2021-02-05 00:08:32.722: INFO @log_variables: train age_loss mean: 9.397957 2021-02-05 00:08:32.722: INFO @log_variables: train gender_loss mean: 0.296809 2021-02-05 00:08:32.722: INFO @log_variables: train age_mae mean: 8.821123 2021-02-05 00:08:32.722: INFO @log_variables: train gender_accuracy mean: 0.873544 2021-02-05 00:08:32.723: INFO @log_variables: train gender_confidence/loss nanmean: 0.071255 2021-02-05 00:08:32.723: INFO @log_variables: train gender_confidence/accuracy mean: 0.775808 2021-02-05 00:08:32.723: INFO @log_variables: train age_confidence/loss mean: 0.057454 2021-02-05 00:08:32.723: INFO @log_variables: train age_confidence/accuracy mean: 0.670838 2021-02-05 00:08:32.723: INFO @log_variables: valid loss nanmean: 1.226656 2021-02-05 00:08:32.723: INFO @log_variables: valid age_loss mean: 9.114347 2021-02-05 00:08:32.723: INFO @log_variables: valid gender_loss mean: 0.291741 2021-02-05 00:08:32.723: INFO @log_variables: valid age_mae mean: 8.527324 2021-02-05 00:08:32.723: INFO @log_variables: valid gender_accuracy mean: 0.880331 2021-02-05 00:08:32.723: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071308 2021-02-05 00:08:32.723: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826392 2021-02-05 00:08:32.723: INFO @log_variables: valid age_confidence/loss mean: 0.061552 2021-02-05 00:08:32.723: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 00:08:32.723: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:08:32.725: INFO @metrics_hook: train age_mae: 8.821 +-0.150 (13823) 2021-02-05 00:08:32.727: INFO @metrics_hook: train gender_accuracy: 0.874 +-0.006 (13823) 2021-02-05 00:08:34.135: INFO @metrics_hook: valid age_mae: 8.527 +-0.266 (3986) 2021-02-05 00:08:34.135: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:08:35.375: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:08:35.375: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:08:35.375: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:08:35.375: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:08:35.455: INFO @evaluate_confidence: Previous accuracy would be: 87.35 2021-02-05 00:08:35.455: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:08:35.460: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.84, 93.1, 93.32, 93.47, 93.75, 93.98, 94.11, 94.36, 94.57, 94.81, 95.12, 95.22, 95.49, 95.77, 95.92, 96.08, 96.18, 96.4, 96.5, 96.58, 96.7, 96.87, 96.94, 97.05, 97.17] 2021-02-05 00:08:35.460: INFO @evaluate_confidence: Dropped ratios are: [23.45, 24.66, 25.76, 26.87, 28.17, 29.27, 30.38, 31.64, 32.7, 33.85, 34.94, 35.95, 37.06, 38.07, 39.16, 40.28, 41.18, 42.36, 43.57, 44.63, 45.8, 47.0, 48.22, 49.48, 50.59] 2021-02-05 00:08:35.466: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:08:35.467: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:08:35.467: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:08:35.467: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:08:35.560: INFO @evaluate_confidence: Previous accuracy would be: 43.17 2021-02-05 00:08:35.560: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:08:35.563: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.85, 57.09, 58.62, 59.87, 61.17, 62.68, 63.64, 64.76, 65.96, 67.23, 68.5, 69.58, 70.48] 2021-02-05 00:08:35.563: INFO @evaluate_confidence: Dropped ratios are: [49.43, 52.74, 55.5, 58.42, 60.77, 63.21, 65.18, 67.05, 68.82, 70.66, 72.3, 73.86, 75.17] 2021-02-05 00:08:35.565: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:08:35.565: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:08:35.565: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.17 2021-02-05 00:08:35.565: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:08:35.637: INFO @evaluate_confidence: Previous accuracy would be: 88.03 2021-02-05 00:08:35.637: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:08:35.639: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.96, 93.1, 93.39, 93.6, 93.91, 94.12, 94.48, 94.61, 94.68, 94.95, 95.22, 95.4, 95.63, 95.71, 95.99, 96.17, 96.31, 96.39, 96.45, 96.73, 97.04, 97.11, 97.29, 97.5, 97.64] 2021-02-05 00:08:35.639: INFO @evaluate_confidence: Dropped ratios are: [20.57, 21.5, 22.58, 23.51, 24.56, 25.72, 26.87, 27.9, 28.85, 30.01, 30.73, 31.76, 32.89, 33.84, 34.87, 35.85, 36.83, 38.08, 39.19, 40.19, 41.42, 42.75, 43.53, 44.71, 45.74] 2021-02-05 00:08:35.641: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:08:35.641: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.18 2021-02-05 00:08:35.641: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:08:35.641: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:08:35.732: INFO @evaluate_confidence: Previous accuracy would be: 42.52 2021-02-05 00:08:35.733: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:08:35.734: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.7, 54.38, 55.88, 56.76, 57.9, 58.44, 59.26, 60.97, 61.72, 61.86] 2021-02-05 00:08:35.734: INFO @evaluate_confidence: Dropped ratios are: [50.83, 54.74, 58.43, 61.59, 64.6, 67.46, 69.64, 72.1, 74.31, 75.99] 2021-02-05 00:08:35.743: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:08:36.099: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:08:36.159: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:08:36.420: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:08:36.569: INFO @decay_lr : LR updated to `0.000103660626` 2021-02-05 00:08:36.570: INFO @log_profile : T train: 13.005847 2021-02-05 00:08:36.570: INFO @log_profile : T valid: 1.590999 2021-02-05 00:08:36.570: INFO @log_profile : T read data: 0.399627 2021-02-05 00:08:36.570: INFO @log_profile : T hooks: 4.447183 2021-02-05 00:08:36.570: INFO @main_loop : Epoch 212 done 2021-02-05 00:08:36.571: INFO @main_loop : Training epoch 213 2021-02-05 00:08:52.138: INFO @log_variables: train loss nanmean: 1.247101 2021-02-05 00:08:52.138: INFO @log_variables: train age_loss mean: 9.413811 2021-02-05 00:08:52.138: INFO @log_variables: train gender_loss mean: 0.291466 2021-02-05 00:08:52.138: INFO @log_variables: train age_mae mean: 8.836018 2021-02-05 00:08:52.138: INFO @log_variables: train gender_accuracy mean: 0.875868 2021-02-05 00:08:52.138: INFO @log_variables: train gender_confidence/loss nanmean: 0.069427 2021-02-05 00:08:52.138: INFO @log_variables: train gender_confidence/accuracy mean: 0.774306 2021-02-05 00:08:52.138: INFO @log_variables: train age_confidence/loss mean: 0.056904 2021-02-05 00:08:52.138: INFO @log_variables: train age_confidence/accuracy mean: 0.673756 2021-02-05 00:08:52.138: INFO @log_variables: valid loss nanmean: 1.231514 2021-02-05 00:08:52.138: INFO @log_variables: valid age_loss mean: 9.166825 2021-02-05 00:08:52.139: INFO @log_variables: valid gender_loss mean: 0.287293 2021-02-05 00:08:52.139: INFO @log_variables: valid age_mae mean: 8.580153 2021-02-05 00:08:52.139: INFO @log_variables: valid gender_accuracy mean: 0.881836 2021-02-05 00:08:52.139: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075127 2021-02-05 00:08:52.139: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838685 2021-02-05 00:08:52.139: INFO @log_variables: valid age_confidence/loss mean: 0.061865 2021-02-05 00:08:52.139: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-05 00:08:52.139: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:08:52.141: INFO @metrics_hook: train age_mae: 8.836 +-0.149 (13824) 2021-02-05 00:08:52.142: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13824) 2021-02-05 00:08:53.678: INFO @metrics_hook: valid age_mae: 8.580 +-0.267 (3986) 2021-02-05 00:08:53.678: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:08:55.134: INFO @decay_lr : LR updated to `0.00010314232` 2021-02-05 00:08:55.135: INFO @log_profile : T train: 12.862970 2021-02-05 00:08:55.135: INFO @log_profile : T valid: 1.655551 2021-02-05 00:08:55.135: INFO @log_profile : T read data: 0.396723 2021-02-05 00:08:55.135: INFO @log_profile : T hooks: 3.599783 2021-02-05 00:08:55.135: INFO @main_loop : Epoch 213 done 2021-02-05 00:08:55.135: INFO @main_loop : Training epoch 214 2021-02-05 00:09:09.933: INFO @log_variables: train loss nanmean: 1.255221 2021-02-05 00:09:09.933: INFO @log_variables: train age_loss mean: 9.478884 2021-02-05 00:09:09.933: INFO @log_variables: train gender_loss mean: 0.292796 2021-02-05 00:09:09.933: INFO @log_variables: train age_mae mean: 8.896385 2021-02-05 00:09:09.933: INFO @log_variables: train gender_accuracy mean: 0.872746 2021-02-05 00:09:09.933: INFO @log_variables: train gender_confidence/loss nanmean: 0.069489 2021-02-05 00:09:09.933: INFO @log_variables: train gender_confidence/accuracy mean: 0.775621 2021-02-05 00:09:09.933: INFO @log_variables: train age_confidence/loss mean: 0.057837 2021-02-05 00:09:09.934: INFO @log_variables: train age_confidence/accuracy mean: 0.673427 2021-02-05 00:09:09.934: INFO @log_variables: valid loss nanmean: 1.232430 2021-02-05 00:09:09.934: INFO @log_variables: valid age_loss mean: 9.124579 2021-02-05 00:09:09.934: INFO @log_variables: valid gender_loss mean: 0.293158 2021-02-05 00:09:09.934: INFO @log_variables: valid age_mae mean: 8.533133 2021-02-05 00:09:09.934: INFO @log_variables: valid gender_accuracy mean: 0.880331 2021-02-05 00:09:09.934: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074016 2021-02-05 00:09:09.934: INFO @log_variables: valid gender_confidence/accuracy mean: 0.824887 2021-02-05 00:09:09.934: INFO @log_variables: valid age_confidence/loss mean: 0.062399 2021-02-05 00:09:09.934: INFO @log_variables: valid age_confidence/accuracy mean: 0.635976 2021-02-05 00:09:09.934: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:09:09.936: INFO @metrics_hook: train age_mae: 8.896 +-0.152 (13807) 2021-02-05 00:09:09.937: INFO @metrics_hook: train gender_accuracy: 0.873 +-0.006 (13807) 2021-02-05 00:09:11.358: INFO @metrics_hook: valid age_mae: 8.533 +-0.267 (3986) 2021-02-05 00:09:11.358: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:09:12.591: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:09:12.592: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:09:12.592: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:09:12.592: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:09:12.674: INFO @evaluate_confidence: Previous accuracy would be: 87.27 2021-02-05 00:09:12.674: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:09:12.679: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.84, 93.0, 93.31, 93.42, 93.62, 93.82, 94.06, 94.27, 94.47, 94.63, 94.94, 95.17, 95.42, 95.59, 95.75, 95.98, 96.09, 96.26, 96.42, 96.51, 96.64, 96.86, 97.0, 97.08, 97.27, 97.44] 2021-02-05 00:09:12.679: INFO @evaluate_confidence: Dropped ratios are: [22.77, 23.98, 25.15, 26.16, 27.33, 28.52, 29.64, 30.72, 31.81, 32.87, 34.04, 35.24, 36.52, 37.55, 38.63, 39.62, 40.77, 41.78, 42.96, 44.11, 45.1, 46.3, 47.31, 48.45, 49.66, 50.8] 2021-02-05 00:09:12.685: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:09:12.685: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:09:12.685: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:09:12.686: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:09:12.778: INFO @evaluate_confidence: Previous accuracy would be: 43.51 2021-02-05 00:09:12.778: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:09:12.782: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.46, 57.28, 58.53, 59.8, 61.13, 62.26, 63.66, 64.77, 65.92, 67.41, 68.71, 69.89, 71.15, 72.19, 73.16] 2021-02-05 00:09:12.782: INFO @evaluate_confidence: Dropped ratios are: [48.6, 51.51, 54.4, 56.85, 59.51, 61.74, 63.99, 65.93, 67.78, 69.53, 71.07, 72.67, 74.19, 75.44, 76.71] 2021-02-05 00:09:12.784: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:09:12.784: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:09:12.784: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.18 2021-02-05 00:09:12.784: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:09:12.856: INFO @evaluate_confidence: Previous accuracy would be: 88.03 2021-02-05 00:09:12.856: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:09:12.858: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.0, 93.41, 93.65, 93.9, 94.12, 94.24, 94.32, 94.54, 94.67, 94.83, 95.02, 95.24, 95.51, 95.82, 95.99, 96.12, 96.28, 96.43, 96.62, 97.05, 97.13, 97.18, 97.25, 97.37, 97.44] 2021-02-05 00:09:12.858: INFO @evaluate_confidence: Dropped ratios are: [20.8, 21.93, 22.91, 23.88, 24.94, 25.94, 26.74, 27.87, 28.47, 29.58, 30.48, 31.54, 32.89, 34.02, 34.95, 35.95, 37.28, 38.16, 39.11, 40.47, 41.42, 42.12, 43.45, 44.63, 46.01] 2021-02-05 00:09:12.859: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:09:12.859: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:09:12.859: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:09:12.860: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:09:12.944: INFO @evaluate_confidence: Previous accuracy would be: 43.03 2021-02-05 00:09:12.944: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:09:12.945: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.57, 57.19, 58.44, 59.14, 60.13, 61.34, 62.06, 62.25, 62.61, 63.97] 2021-02-05 00:09:12.945: INFO @evaluate_confidence: Dropped ratios are: [54.04, 57.58, 60.64, 63.1, 65.7, 68.26, 69.84, 71.63, 73.63, 75.21] 2021-02-05 00:09:12.955: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:09:13.313: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:09:13.375: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:09:13.638: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:09:13.795: INFO @decay_lr : LR updated to `0.00010262661` 2021-02-05 00:09:13.796: INFO @log_profile : T train: 12.330413 2021-02-05 00:09:13.796: INFO @log_profile : T valid: 1.324719 2021-02-05 00:09:13.796: INFO @log_profile : T read data: 0.518340 2021-02-05 00:09:13.796: INFO @log_profile : T hooks: 4.441366 2021-02-05 00:09:13.796: INFO @main_loop : Epoch 214 done 2021-02-05 00:09:13.796: INFO @main_loop : Training epoch 215 2021-02-05 00:09:29.113: INFO @log_variables: train loss nanmean: 1.252180 2021-02-05 00:09:29.113: INFO @log_variables: train age_loss mean: 9.478389 2021-02-05 00:09:29.113: INFO @log_variables: train gender_loss mean: 0.289290 2021-02-05 00:09:29.113: INFO @log_variables: train age_mae mean: 8.896993 2021-02-05 00:09:29.113: INFO @log_variables: train gender_accuracy mean: 0.877676 2021-02-05 00:09:29.113: INFO @log_variables: train gender_confidence/loss nanmean: 0.070272 2021-02-05 00:09:29.113: INFO @log_variables: train gender_confidence/accuracy mean: 0.777271 2021-02-05 00:09:29.113: INFO @log_variables: train age_confidence/loss mean: 0.057246 2021-02-05 00:09:29.113: INFO @log_variables: train age_confidence/accuracy mean: 0.677662 2021-02-05 00:09:29.113: INFO @log_variables: valid loss nanmean: 1.248018 2021-02-05 00:09:29.113: INFO @log_variables: valid age_loss mean: 9.194419 2021-02-05 00:09:29.114: INFO @log_variables: valid gender_loss mean: 0.304797 2021-02-05 00:09:29.114: INFO @log_variables: valid age_mae mean: 8.600177 2021-02-05 00:09:29.114: INFO @log_variables: valid gender_accuracy mean: 0.865278 2021-02-05 00:09:29.114: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072010 2021-02-05 00:09:29.114: INFO @log_variables: valid gender_confidence/accuracy mean: 0.824385 2021-02-05 00:09:29.114: INFO @log_variables: valid age_confidence/loss mean: 0.063063 2021-02-05 00:09:29.114: INFO @log_variables: valid age_confidence/accuracy mean: 0.626693 2021-02-05 00:09:29.114: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:09:29.116: INFO @metrics_hook: train age_mae: 8.897 +-0.152 (13824) 2021-02-05 00:09:29.117: INFO @metrics_hook: train gender_accuracy: 0.878 +-0.006 (13824) 2021-02-05 00:09:30.495: INFO @metrics_hook: valid age_mae: 8.600 +-0.267 (3986) 2021-02-05 00:09:30.496: INFO @metrics_hook: valid gender_accuracy: 0.865 +-0.011 (3986) 2021-02-05 00:09:31.792: INFO @decay_lr : LR updated to `0.00010211348` 2021-02-05 00:09:31.793: INFO @log_profile : T train: 12.751458 2021-02-05 00:09:31.793: INFO @log_profile : T valid: 1.541883 2021-02-05 00:09:31.793: INFO @log_profile : T read data: 0.396311 2021-02-05 00:09:31.793: INFO @log_profile : T hooks: 3.257936 2021-02-05 00:09:31.793: INFO @main_loop : Epoch 215 done 2021-02-05 00:09:31.793: INFO @main_loop : Training epoch 216 2021-02-05 00:09:46.563: INFO @log_variables: train loss nanmean: 1.229722 2021-02-05 00:09:46.563: INFO @log_variables: train age_loss mean: 9.301530 2021-02-05 00:09:46.563: INFO @log_variables: train gender_loss mean: 0.284701 2021-02-05 00:09:46.563: INFO @log_variables: train age_mae mean: 8.726806 2021-02-05 00:09:46.563: INFO @log_variables: train gender_accuracy mean: 0.877025 2021-02-05 00:09:46.563: INFO @log_variables: train gender_confidence/loss nanmean: 0.067899 2021-02-05 00:09:46.563: INFO @log_variables: train gender_confidence/accuracy mean: 0.784144 2021-02-05 00:09:46.563: INFO @log_variables: train age_confidence/loss mean: 0.057410 2021-02-05 00:09:46.563: INFO @log_variables: train age_confidence/accuracy mean: 0.671296 2021-02-05 00:09:46.563: INFO @log_variables: valid loss nanmean: 1.239407 2021-02-05 00:09:46.563: INFO @log_variables: valid age_loss mean: 9.282594 2021-02-05 00:09:46.563: INFO @log_variables: valid gender_loss mean: 0.287495 2021-02-05 00:09:46.563: INFO @log_variables: valid age_mae mean: 8.690057 2021-02-05 00:09:46.563: INFO @log_variables: valid gender_accuracy mean: 0.881084 2021-02-05 00:09:46.563: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072483 2021-02-05 00:09:46.564: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834922 2021-02-05 00:09:46.564: INFO @log_variables: valid age_confidence/loss mean: 0.061693 2021-02-05 00:09:46.564: INFO @log_variables: valid age_confidence/accuracy mean: 0.635223 2021-02-05 00:09:46.564: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:09:46.565: INFO @metrics_hook: train age_mae: 8.727 +-0.148 (13824) 2021-02-05 00:09:46.567: INFO @metrics_hook: train gender_accuracy: 0.877 +-0.006 (13824) 2021-02-05 00:09:47.971: INFO @metrics_hook: valid age_mae: 8.690 +-0.266 (3986) 2021-02-05 00:09:47.972: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:09:49.215: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:09:49.215: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:09:49.215: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:09:49.215: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:09:49.296: INFO @evaluate_confidence: Previous accuracy would be: 87.70 2021-02-05 00:09:49.296: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:09:49.301: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.02, 93.28, 93.52, 93.78, 93.96, 94.3, 94.49, 94.73, 94.9, 95.04, 95.25, 95.48, 95.65, 95.81, 95.96, 96.22, 96.28, 96.48, 96.67, 96.88, 97.05, 97.23, 97.44, 97.5, 97.63] 2021-02-05 00:09:49.301: INFO @evaluate_confidence: Dropped ratios are: [22.55, 23.61, 24.8, 25.77, 26.82, 28.0, 29.12, 30.13, 31.27, 32.39, 33.61, 34.75, 35.86, 36.98, 38.07, 39.17, 40.18, 41.29, 42.59, 43.71, 44.81, 45.93, 47.15, 48.16, 49.28] 2021-02-05 00:09:49.307: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:09:49.307: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:09:49.307: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:09:49.307: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:09:49.401: INFO @evaluate_confidence: Previous accuracy would be: 43.26 2021-02-05 00:09:49.401: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:09:49.405: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.33, 57.66, 58.61, 59.71, 61.03, 62.22, 63.36, 64.75, 65.8, 66.99, 68.23, 69.58, 70.33, 71.07, 71.97] 2021-02-05 00:09:49.405: INFO @evaluate_confidence: Dropped ratios are: [49.91, 52.71, 55.27, 57.74, 60.27, 62.51, 64.56, 66.63, 68.46, 70.02, 71.51, 72.99, 74.23, 75.37, 76.59] 2021-02-05 00:09:49.407: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:09:49.408: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:09:49.408: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:09:49.408: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:09:49.485: INFO @evaluate_confidence: Previous accuracy would be: 88.11 2021-02-05 00:09:49.485: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:09:49.487: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.48, 93.71, 93.98, 94.26, 94.3, 94.54, 94.65, 94.88, 95.0, 95.25, 95.41, 95.42, 95.73, 95.88, 96.04, 96.18, 96.4, 96.57, 96.63, 96.73, 96.82, 97.01, 97.21, 97.51, 97.6] 2021-02-05 00:09:49.487: INFO @evaluate_confidence: Dropped ratios are: [20.72, 21.88, 22.93, 23.91, 24.36, 25.54, 26.39, 27.42, 28.2, 29.23, 30.11, 30.96, 31.91, 33.02, 34.07, 34.97, 35.93, 37.1, 38.23, 39.44, 40.79, 42.02, 43.33, 44.58, 45.66] 2021-02-05 00:09:49.489: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:09:49.489: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-05 00:09:49.489: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:09:49.489: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.16 2021-02-05 00:09:49.575: INFO @evaluate_confidence: Previous accuracy would be: 42.55 2021-02-05 00:09:49.575: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:09:49.576: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.31, 55.92, 57.04, 58.42, 58.38, 59.16, 60.06, 60.68, 61.03, 62.12] 2021-02-05 00:09:49.576: INFO @evaluate_confidence: Dropped ratios are: [50.8, 54.47, 57.95, 60.84, 63.47, 65.91, 68.21, 70.65, 73.16, 74.96] 2021-02-05 00:09:49.585: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:09:49.946: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:09:49.999: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:09:50.259: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:09:50.412: INFO @decay_lr : LR updated to `0.00010160291` 2021-02-05 00:09:50.413: INFO @log_profile : T train: 12.407828 2021-02-05 00:09:50.413: INFO @log_profile : T valid: 1.342167 2021-02-05 00:09:50.413: INFO @log_profile : T read data: 0.399495 2021-02-05 00:09:50.413: INFO @log_profile : T hooks: 4.426818 2021-02-05 00:09:50.413: INFO @main_loop : Epoch 216 done 2021-02-05 00:09:50.413: INFO @main_loop : Training epoch 217 2021-02-05 00:10:06.107: INFO @log_variables: train loss nanmean: 1.255757 2021-02-05 00:10:06.108: INFO @log_variables: train age_loss mean: 9.427791 2021-02-05 00:10:06.108: INFO @log_variables: train gender_loss mean: 0.297461 2021-02-05 00:10:06.108: INFO @log_variables: train age_mae mean: 8.848439 2021-02-05 00:10:06.108: INFO @log_variables: train gender_accuracy mean: 0.870718 2021-02-05 00:10:06.108: INFO @log_variables: train gender_confidence/loss nanmean: 0.070170 2021-02-05 00:10:06.108: INFO @log_variables: train gender_confidence/accuracy mean: 0.772000 2021-02-05 00:10:06.108: INFO @log_variables: train age_confidence/loss mean: 0.058096 2021-02-05 00:10:06.108: INFO @log_variables: train age_confidence/accuracy mean: 0.660535 2021-02-05 00:10:06.108: INFO @log_variables: valid loss nanmean: 1.236610 2021-02-05 00:10:06.108: INFO @log_variables: valid age_loss mean: 9.277385 2021-02-05 00:10:06.108: INFO @log_variables: valid gender_loss mean: 0.284087 2021-02-05 00:10:06.108: INFO @log_variables: valid age_mae mean: 8.686543 2021-02-05 00:10:06.108: INFO @log_variables: valid gender_accuracy mean: 0.881586 2021-02-05 00:10:06.108: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073647 2021-02-05 00:10:06.108: INFO @log_variables: valid gender_confidence/accuracy mean: 0.832915 2021-02-05 00:10:06.108: INFO @log_variables: valid age_confidence/loss mean: 0.061303 2021-02-05 00:10:06.108: INFO @log_variables: valid age_confidence/accuracy mean: 0.640241 2021-02-05 00:10:06.108: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:10:06.109: INFO @metrics_hook: train age_mae: 8.848 +-0.151 (13807) 2021-02-05 00:10:06.110: INFO @metrics_hook: train gender_accuracy: 0.871 +-0.006 (13807) 2021-02-05 00:10:07.677: INFO @metrics_hook: valid age_mae: 8.687 +-0.269 (3986) 2021-02-05 00:10:07.678: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:10:09.013: INFO @decay_lr : LR updated to `0.0001010949` 2021-02-05 00:10:09.014: INFO @log_profile : T train: 12.947508 2021-02-05 00:10:09.014: INFO @log_profile : T valid: 1.611704 2021-02-05 00:10:09.014: INFO @log_profile : T read data: 0.498313 2021-02-05 00:10:09.014: INFO @log_profile : T hooks: 3.493861 2021-02-05 00:10:09.014: INFO @main_loop : Epoch 217 done 2021-02-05 00:10:09.014: INFO @main_loop : Training epoch 218 2021-02-05 00:10:24.688: INFO @log_variables: train loss nanmean: 1.232684 2021-02-05 00:10:24.688: INFO @log_variables: train age_loss mean: 9.336648 2021-02-05 00:10:24.688: INFO @log_variables: train gender_loss mean: 0.282081 2021-02-05 00:10:24.688: INFO @log_variables: train age_mae mean: 8.762226 2021-02-05 00:10:24.688: INFO @log_variables: train gender_accuracy mean: 0.879413 2021-02-05 00:10:24.688: INFO @log_variables: train gender_confidence/loss nanmean: 0.069797 2021-02-05 00:10:24.688: INFO @log_variables: train gender_confidence/accuracy mean: 0.775174 2021-02-05 00:10:24.688: INFO @log_variables: train age_confidence/loss mean: 0.057664 2021-02-05 00:10:24.688: INFO @log_variables: train age_confidence/accuracy mean: 0.670139 2021-02-05 00:10:24.688: INFO @log_variables: valid loss nanmean: 1.241889 2021-02-05 00:10:24.688: INFO @log_variables: valid age_loss mean: 9.276101 2021-02-05 00:10:24.688: INFO @log_variables: valid gender_loss mean: 0.290806 2021-02-05 00:10:24.689: INFO @log_variables: valid age_mae mean: 8.684262 2021-02-05 00:10:24.689: INFO @log_variables: valid gender_accuracy mean: 0.877822 2021-02-05 00:10:24.689: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072407 2021-02-05 00:10:24.689: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840692 2021-02-05 00:10:24.689: INFO @log_variables: valid age_confidence/loss mean: 0.061831 2021-02-05 00:10:24.689: INFO @log_variables: valid age_confidence/accuracy mean: 0.631209 2021-02-05 00:10:24.689: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:10:24.691: INFO @metrics_hook: train age_mae: 8.762 +-0.149 (13824) 2021-02-05 00:10:24.692: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:10:26.122: INFO @metrics_hook: valid age_mae: 8.684 +-0.273 (3986) 2021-02-05 00:10:26.122: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-05 00:10:27.375: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:10:27.375: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:10:27.376: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:10:27.376: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:10:27.454: INFO @evaluate_confidence: Previous accuracy would be: 87.94 2021-02-05 00:10:27.454: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:10:27.459: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.17, 93.32, 93.58, 93.85, 94.08, 94.31, 94.53, 94.64, 94.87, 95.1, 95.29, 95.51, 95.63, 95.84, 95.99, 96.1, 96.28, 96.41, 96.48, 96.72, 96.9, 97.1, 97.26, 97.29, 97.32, 97.42] 2021-02-05 00:10:27.460: INFO @evaluate_confidence: Dropped ratios are: [22.63, 23.78, 24.89, 26.02, 27.16, 28.19, 29.32, 30.37, 31.49, 32.66, 33.68, 34.86, 35.76, 36.77, 37.74, 38.82, 39.79, 40.64, 41.64, 42.69, 43.76, 44.84, 45.97, 47.12, 48.16, 49.23] 2021-02-05 00:10:27.465: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:10:27.465: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:10:27.465: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:10:27.466: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:10:27.559: INFO @evaluate_confidence: Previous accuracy would be: 43.38 2021-02-05 00:10:27.559: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:10:27.563: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.11, 57.42, 58.89, 60.1, 61.34, 62.57, 63.68, 64.86, 66.34, 67.11, 68.44, 69.69, 70.72, 71.73, 72.63] 2021-02-05 00:10:27.563: INFO @evaluate_confidence: Dropped ratios are: [48.3, 51.58, 54.6, 57.31, 59.86, 62.22, 64.41, 66.57, 68.52, 70.31, 71.83, 73.49, 74.95, 76.35, 77.51] 2021-02-05 00:10:27.565: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:10:27.565: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:10:27.565: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.18 2021-02-05 00:10:27.565: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.20 2021-02-05 00:10:27.635: INFO @evaluate_confidence: Previous accuracy would be: 87.78 2021-02-05 00:10:27.636: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:10:27.637: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.12, 93.29, 93.59, 93.81, 93.98, 94.36, 94.4, 94.46, 94.74, 95.08, 95.12, 95.38, 95.71, 95.88, 96.11, 96.35, 96.57, 96.77, 96.8, 96.95, 97.07, 97.15, 97.3, 97.5, 97.63] 2021-02-05 00:10:27.637: INFO @evaluate_confidence: Dropped ratios are: [20.15, 21.15, 22.13, 23.03, 23.73, 24.89, 25.64, 26.59, 27.5, 28.65, 29.55, 30.53, 31.64, 32.44, 33.49, 34.65, 35.7, 37.03, 38.13, 39.11, 40.09, 41.09, 42.4, 43.75, 45.06] 2021-02-05 00:10:27.639: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:10:27.639: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:10:27.639: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:10:27.639: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:10:27.723: INFO @evaluate_confidence: Previous accuracy would be: 43.08 2021-02-05 00:10:27.723: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:10:27.724: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.76, 56.05, 57.28, 58.03, 58.93, 60.06, 60.48, 61.14, 62.62] 2021-02-05 00:10:27.724: INFO @evaluate_confidence: Dropped ratios are: [52.58, 56.22, 59.83, 62.52, 65.43, 67.84, 69.84, 72.18, 74.16] 2021-02-05 00:10:27.734: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:10:28.097: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:10:28.158: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:10:28.425: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:10:28.578: INFO @decay_lr : LR updated to `0.00010058942` 2021-02-05 00:10:28.579: INFO @log_profile : T train: 13.096692 2021-02-05 00:10:28.579: INFO @log_profile : T valid: 1.554775 2021-02-05 00:10:28.579: INFO @log_profile : T read data: 0.394908 2021-02-05 00:10:28.579: INFO @log_profile : T hooks: 4.469204 2021-02-05 00:10:28.579: INFO @main_loop : Epoch 218 done 2021-02-05 00:10:28.579: INFO @main_loop : Training epoch 219 2021-02-05 00:10:43.933: INFO @log_variables: train loss nanmean: 1.260731 2021-02-05 00:10:43.933: INFO @log_variables: train age_loss mean: 9.465782 2021-02-05 00:10:43.934: INFO @log_variables: train gender_loss mean: 0.298920 2021-02-05 00:10:43.934: INFO @log_variables: train age_mae mean: 8.885654 2021-02-05 00:10:43.934: INFO @log_variables: train gender_accuracy mean: 0.870153 2021-02-05 00:10:43.934: INFO @log_variables: train gender_confidence/loss nanmean: 0.070666 2021-02-05 00:10:43.934: INFO @log_variables: train gender_confidence/accuracy mean: 0.774016 2021-02-05 00:10:43.934: INFO @log_variables: train age_confidence/loss mean: 0.057793 2021-02-05 00:10:43.934: INFO @log_variables: train age_confidence/accuracy mean: 0.666811 2021-02-05 00:10:43.934: INFO @log_variables: valid loss nanmean: 1.252105 2021-02-05 00:10:43.934: INFO @log_variables: valid age_loss mean: 9.410844 2021-02-05 00:10:43.934: INFO @log_variables: valid gender_loss mean: 0.288601 2021-02-05 00:10:43.934: INFO @log_variables: valid age_mae mean: 8.811626 2021-02-05 00:10:43.934: INFO @log_variables: valid gender_accuracy mean: 0.883342 2021-02-05 00:10:43.934: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072549 2021-02-05 00:10:43.934: INFO @log_variables: valid gender_confidence/accuracy mean: 0.826141 2021-02-05 00:10:43.934: INFO @log_variables: valid age_confidence/loss mean: 0.061661 2021-02-05 00:10:43.934: INFO @log_variables: valid age_confidence/accuracy mean: 0.632965 2021-02-05 00:10:43.934: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:10:43.935: INFO @metrics_hook: train age_mae: 8.886 +-0.152 (13824) 2021-02-05 00:10:43.936: INFO @metrics_hook: train gender_accuracy: 0.870 +-0.006 (13824) 2021-02-05 00:10:45.363: INFO @metrics_hook: valid age_mae: 8.812 +-0.277 (3986) 2021-02-05 00:10:45.363: INFO @metrics_hook: valid gender_accuracy: 0.883 +-0.010 (3986) 2021-02-05 00:10:46.694: INFO @decay_lr : LR updated to `0.00010008647` 2021-02-05 00:10:46.695: INFO @log_profile : T train: 12.794664 2021-02-05 00:10:46.695: INFO @log_profile : T valid: 1.526485 2021-02-05 00:10:46.695: INFO @log_profile : T read data: 0.406024 2021-02-05 00:10:46.695: INFO @log_profile : T hooks: 3.340107 2021-02-05 00:10:46.695: INFO @main_loop : Epoch 219 done 2021-02-05 00:10:46.695: INFO @main_loop : Training epoch 220 2021-02-05 00:11:02.972: INFO @log_variables: train loss nanmean: 1.241108 2021-02-05 00:11:02.972: INFO @log_variables: train age_loss mean: 9.327252 2021-02-05 00:11:02.972: INFO @log_variables: train gender_loss mean: 0.291139 2021-02-05 00:11:02.972: INFO @log_variables: train age_mae mean: 8.749786 2021-02-05 00:11:02.973: INFO @log_variables: train gender_accuracy mean: 0.874339 2021-02-05 00:11:02.973: INFO @log_variables: train gender_confidence/loss nanmean: 0.070454 2021-02-05 00:11:02.973: INFO @log_variables: train gender_confidence/accuracy mean: 0.776925 2021-02-05 00:11:02.973: INFO @log_variables: train age_confidence/loss mean: 0.058049 2021-02-05 00:11:02.973: INFO @log_variables: train age_confidence/accuracy mean: 0.668501 2021-02-05 00:11:02.973: INFO @log_variables: valid loss nanmean: 1.221117 2021-02-05 00:11:02.973: INFO @log_variables: valid age_loss mean: 9.102259 2021-02-05 00:11:02.973: INFO @log_variables: valid gender_loss mean: 0.286242 2021-02-05 00:11:02.973: INFO @log_variables: valid age_mae mean: 8.507389 2021-02-05 00:11:02.973: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:11:02.973: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071901 2021-02-05 00:11:02.973: INFO @log_variables: valid gender_confidence/accuracy mean: 0.831410 2021-02-05 00:11:02.973: INFO @log_variables: valid age_confidence/loss mean: 0.061518 2021-02-05 00:11:02.973: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-05 00:11:02.973: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:11:02.975: INFO @metrics_hook: train age_mae: 8.750 +-0.149 (13807) 2021-02-05 00:11:02.977: INFO @metrics_hook: train gender_accuracy: 0.874 +-0.006 (13807) 2021-02-05 00:11:04.367: INFO @metrics_hook: valid age_mae: 8.507 +-0.266 (3986) 2021-02-05 00:11:04.367: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:11:05.596: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:11:05.596: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:11:05.597: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:11:05.597: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:11:05.676: INFO @evaluate_confidence: Previous accuracy would be: 87.43 2021-02-05 00:11:05.676: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:11:05.681: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.99, 93.3, 93.56, 93.67, 93.92, 94.14, 94.37, 94.49, 94.73, 94.95, 95.19, 95.29, 95.41, 95.62, 95.75, 95.83, 96.01, 96.1, 96.29, 96.43, 96.52, 96.71, 96.82, 96.99, 97.07] 2021-02-05 00:11:05.682: INFO @evaluate_confidence: Dropped ratios are: [23.6, 24.79, 25.7, 26.86, 28.01, 29.33, 30.59, 31.57, 32.61, 33.64, 34.84, 36.03, 37.08, 38.17, 39.31, 40.45, 41.52, 42.75, 43.74, 44.67, 45.82, 46.93, 48.13, 49.24, 50.37] 2021-02-05 00:11:05.688: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:11:05.688: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:11:05.688: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:11:05.688: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:11:05.781: INFO @evaluate_confidence: Previous accuracy would be: 43.48 2021-02-05 00:11:05.781: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:11:05.784: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.97, 57.34, 58.66, 59.86, 60.93, 62.37, 63.59, 64.69, 65.86, 67.04, 68.19, 69.29, 70.35] 2021-02-05 00:11:05.784: INFO @evaluate_confidence: Dropped ratios are: [49.63, 52.76, 55.53, 58.05, 60.27, 62.78, 64.83, 66.67, 68.47, 70.07, 71.61, 72.99, 74.4] 2021-02-05 00:11:05.786: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:11:05.786: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.79 +- 0.20 2021-02-05 00:11:05.786: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.18 2021-02-05 00:11:05.786: INFO @evaluate_confidence: Average confidence of all samples 0.76 +- 0.21 2021-02-05 00:11:05.858: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:11:05.859: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:11:05.860: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.97, 93.15, 93.58, 93.89, 94.05, 94.22, 94.47, 94.79, 94.93, 95.14, 95.35, 95.61, 95.84, 96.12, 96.34, 96.48, 96.66, 96.76, 96.98, 96.97, 97.08, 97.23, 97.36, 97.43, 97.52] 2021-02-05 00:11:05.860: INFO @evaluate_confidence: Dropped ratios are: [20.45, 21.68, 22.65, 23.61, 24.59, 25.31, 26.52, 27.75, 28.7, 29.78, 30.91, 31.99, 33.12, 34.04, 34.95, 35.85, 36.95, 38.08, 39.26, 40.42, 41.67, 42.85, 43.9, 45.31, 46.49] 2021-02-05 00:11:05.862: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:11:05.862: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:11:05.862: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:11:05.862: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:11:05.944: INFO @evaluate_confidence: Previous accuracy would be: 43.75 2021-02-05 00:11:05.944: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:11:05.945: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.05, 55.88, 57.94, 58.4, 59.3, 59.38, 60.41, 61.38, 62.84, 64.04] 2021-02-05 00:11:05.945: INFO @evaluate_confidence: Dropped ratios are: [51.33, 54.57, 57.53, 60.26, 63.2, 65.35, 67.81, 69.79, 72.25, 74.18] 2021-02-05 00:11:05.954: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:11:06.329: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:06.387: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:11:06.668: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:06.732: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:11:07.084: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:07.139: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:11:07.140: INFO @evaluate_gender-age_model: groups 0 5.277164 1 9.924442 2 9.644832 3 8.220979 4 8.949854 5 9.386289 6 9.742433 7 8.489864 Name: errors, dtype: float64 2021-02-05 00:11:07.140: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:11:07.405: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:07.461: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:11:07.462: INFO @evaluate_gender-age_model: groups 0 6.169556 1 8.282370 2 8.713982 3 7.743225 4 9.616100 5 9.445785 6 8.721054 7 7.429721 Name: errors, dtype: float64 2021-02-05 00:11:07.557: INFO @decay_lr : LR updated to `9.958604e-05` 2021-02-05 00:11:07.558: INFO @log_profile : T train: 12.940440 2021-02-05 00:11:07.558: INFO @log_profile : T valid: 1.616452 2021-02-05 00:11:07.558: INFO @log_profile : T read data: 0.493873 2021-02-05 00:11:07.558: INFO @log_profile : T hooks: 5.763839 2021-02-05 00:11:07.558: INFO @main_loop : Epoch 220 done 2021-02-05 00:11:07.558: INFO @main_loop : Training epoch 221 2021-02-05 00:11:23.186: INFO @log_variables: train loss nanmean: 1.246257 2021-02-05 00:11:23.186: INFO @log_variables: train age_loss mean: 9.453150 2021-02-05 00:11:23.186: INFO @log_variables: train gender_loss mean: 0.286980 2021-02-05 00:11:23.186: INFO @log_variables: train age_mae mean: 8.873830 2021-02-05 00:11:23.186: INFO @log_variables: train gender_accuracy mean: 0.875570 2021-02-05 00:11:23.186: INFO @log_variables: train gender_confidence/loss nanmean: 0.068289 2021-02-05 00:11:23.186: INFO @log_variables: train gender_confidence/accuracy mean: 0.780004 2021-02-05 00:11:23.186: INFO @log_variables: train age_confidence/loss mean: 0.057700 2021-02-05 00:11:23.186: INFO @log_variables: train age_confidence/accuracy mean: 0.670043 2021-02-05 00:11:23.186: INFO @log_variables: valid loss nanmean: 1.241575 2021-02-05 00:11:23.186: INFO @log_variables: valid age_loss mean: 9.240570 2021-02-05 00:11:23.186: INFO @log_variables: valid gender_loss mean: 0.290899 2021-02-05 00:11:23.186: INFO @log_variables: valid age_mae mean: 8.647367 2021-02-05 00:11:23.186: INFO @log_variables: valid gender_accuracy mean: 0.881335 2021-02-05 00:11:23.186: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074788 2021-02-05 00:11:23.187: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838685 2021-02-05 00:11:23.187: INFO @log_variables: valid age_confidence/loss mean: 0.062281 2021-02-05 00:11:23.187: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-05 00:11:23.187: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:11:23.188: INFO @metrics_hook: train age_mae: 8.874 +-0.153 (13823) 2021-02-05 00:11:23.190: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13823) 2021-02-05 00:11:24.658: INFO @metrics_hook: valid age_mae: 8.647 +-0.271 (3986) 2021-02-05 00:11:24.658: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:11:26.000: INFO @decay_lr : LR updated to `9.908811e-05` 2021-02-05 00:11:26.001: INFO @log_profile : T train: 12.961646 2021-02-05 00:11:26.001: INFO @log_profile : T valid: 1.611360 2021-02-05 00:11:26.001: INFO @log_profile : T read data: 0.400911 2021-02-05 00:11:26.001: INFO @log_profile : T hooks: 3.419602 2021-02-05 00:11:26.001: INFO @main_loop : Epoch 221 done 2021-02-05 00:11:26.001: INFO @main_loop : Training epoch 222 2021-02-05 00:11:41.638: INFO @log_variables: train loss nanmean: 1.241142 2021-02-05 00:11:41.638: INFO @log_variables: train age_loss mean: 9.440596 2021-02-05 00:11:41.638: INFO @log_variables: train gender_loss mean: 0.283208 2021-02-05 00:11:41.638: INFO @log_variables: train age_mae mean: 8.867130 2021-02-05 00:11:41.638: INFO @log_variables: train gender_accuracy mean: 0.879340 2021-02-05 00:11:41.638: INFO @log_variables: train gender_confidence/loss nanmean: 0.068605 2021-02-05 00:11:41.638: INFO @log_variables: train gender_confidence/accuracy mean: 0.783131 2021-02-05 00:11:41.638: INFO @log_variables: train age_confidence/loss mean: 0.056839 2021-02-05 00:11:41.638: INFO @log_variables: train age_confidence/accuracy mean: 0.674913 2021-02-05 00:11:41.638: INFO @log_variables: valid loss nanmean: 1.223079 2021-02-05 00:11:41.638: INFO @log_variables: valid age_loss mean: 9.102427 2021-02-05 00:11:41.638: INFO @log_variables: valid gender_loss mean: 0.286133 2021-02-05 00:11:41.638: INFO @log_variables: valid age_mae mean: 8.513826 2021-02-05 00:11:41.638: INFO @log_variables: valid gender_accuracy mean: 0.883843 2021-02-05 00:11:41.639: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072541 2021-02-05 00:11:41.639: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835926 2021-02-05 00:11:41.639: INFO @log_variables: valid age_confidence/loss mean: 0.062924 2021-02-05 00:11:41.639: INFO @log_variables: valid age_confidence/accuracy mean: 0.626192 2021-02-05 00:11:41.639: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:11:41.640: INFO @metrics_hook: train age_mae: 8.867 +-0.151 (13824) 2021-02-05 00:11:41.642: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:11:43.019: INFO @metrics_hook: valid age_mae: 8.514 +-0.266 (3986) 2021-02-05 00:11:43.020: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:11:44.224: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:11:44.225: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:11:44.225: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:11:44.225: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:11:44.302: INFO @evaluate_confidence: Previous accuracy would be: 87.93 2021-02-05 00:11:44.302: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:11:44.307: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.42, 93.72, 93.89, 94.09, 94.2, 94.36, 94.55, 94.84, 95.02, 95.22, 95.4, 95.52, 95.76, 95.98, 96.04, 96.18, 96.38, 96.56, 96.7, 96.8, 97.03, 97.12, 97.12, 97.25, 97.37] 2021-02-05 00:11:44.307: INFO @evaluate_confidence: Dropped ratios are: [23.07, 24.23, 25.18, 26.32, 27.2, 28.31, 29.46, 30.58, 31.6, 32.76, 33.78, 34.84, 36.0, 37.12, 38.18, 39.23, 40.44, 41.55, 42.52, 43.55, 44.78, 45.83, 46.92, 47.95, 49.07] 2021-02-05 00:11:44.313: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:11:44.313: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.22 2021-02-05 00:11:44.313: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:11:44.313: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:11:44.404: INFO @evaluate_confidence: Previous accuracy would be: 43.32 2021-02-05 00:11:44.404: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:11:44.407: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.44, 58.74, 59.99, 61.77, 63.13, 64.2, 65.49, 66.39, 67.37, 68.33, 69.31, 70.55, 71.54, 72.5, 73.75] 2021-02-05 00:11:44.407: INFO @evaluate_confidence: Dropped ratios are: [50.17, 53.2, 56.03, 58.83, 61.23, 63.43, 65.54, 67.29, 69.01, 70.6, 72.0, 73.52, 74.89, 76.16, 77.4] 2021-02-05 00:11:44.409: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:11:44.409: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:11:44.409: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:11:44.409: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:11:44.478: INFO @evaluate_confidence: Previous accuracy would be: 88.38 2021-02-05 00:11:44.478: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:11:44.480: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.5, 93.7, 93.82, 94.05, 94.29, 94.57, 94.92, 94.96, 95.16, 95.26, 95.35, 95.46, 95.72, 96.0, 96.16, 96.14, 96.31, 96.47, 96.64, 96.84, 96.96, 97.12, 97.33, 97.38, 97.47] 2021-02-05 00:11:44.480: INFO @evaluate_confidence: Dropped ratios are: [20.12, 21.15, 22.1, 23.23, 23.98, 25.14, 25.94, 26.77, 27.92, 28.6, 29.83, 30.98, 32.04, 32.89, 33.94, 35.05, 36.08, 37.46, 38.74, 39.74, 40.67, 41.7, 42.72, 43.53, 44.41] 2021-02-05 00:11:44.481: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:11:44.481: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-05 00:11:44.482: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:11:44.482: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:11:44.563: INFO @evaluate_confidence: Previous accuracy would be: 43.63 2021-02-05 00:11:44.563: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:11:44.564: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.94, 55.85, 57.17, 58.17, 59.25, 60.06, 61.15, 61.37, 61.73, 62.53] 2021-02-05 00:11:44.564: INFO @evaluate_confidence: Dropped ratios are: [53.06, 56.47, 59.41, 62.22, 65.28, 67.34, 69.52, 71.42, 73.38, 75.16] 2021-02-05 00:11:44.573: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:11:44.921: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:44.976: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:11:45.233: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:11:45.382: INFO @decay_lr : LR updated to `9.859267e-05` 2021-02-05 00:11:45.383: INFO @log_profile : T train: 12.961629 2021-02-05 00:11:45.383: INFO @log_profile : T valid: 1.633841 2021-02-05 00:11:45.383: INFO @log_profile : T read data: 0.401512 2021-02-05 00:11:45.383: INFO @log_profile : T hooks: 4.336754 2021-02-05 00:11:45.383: INFO @main_loop : Epoch 222 done 2021-02-05 00:11:45.383: INFO @main_loop : Training epoch 223 2021-02-05 00:12:00.955: INFO @log_variables: train loss nanmean: 1.237614 2021-02-05 00:12:00.956: INFO @log_variables: train age_loss mean: 9.331861 2021-02-05 00:12:00.956: INFO @log_variables: train gender_loss mean: 0.287825 2021-02-05 00:12:00.956: INFO @log_variables: train age_mae mean: 8.756974 2021-02-05 00:12:00.956: INFO @log_variables: train gender_accuracy mean: 0.875063 2021-02-05 00:12:00.956: INFO @log_variables: train gender_confidence/loss nanmean: 0.069212 2021-02-05 00:12:00.956: INFO @log_variables: train gender_confidence/accuracy mean: 0.779532 2021-02-05 00:12:00.956: INFO @log_variables: train age_confidence/loss mean: 0.058392 2021-02-05 00:12:00.956: INFO @log_variables: train age_confidence/accuracy mean: 0.662055 2021-02-05 00:12:00.956: INFO @log_variables: valid loss nanmean: 1.235797 2021-02-05 00:12:00.956: INFO @log_variables: valid age_loss mean: 9.253091 2021-02-05 00:12:00.956: INFO @log_variables: valid gender_loss mean: 0.287933 2021-02-05 00:12:00.956: INFO @log_variables: valid age_mae mean: 8.665140 2021-02-05 00:12:00.957: INFO @log_variables: valid gender_accuracy mean: 0.876819 2021-02-05 00:12:00.957: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070484 2021-02-05 00:12:00.957: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833668 2021-02-05 00:12:00.957: INFO @log_variables: valid age_confidence/loss mean: 0.062366 2021-02-05 00:12:00.957: INFO @log_variables: valid age_confidence/accuracy mean: 0.632464 2021-02-05 00:12:00.957: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:12:00.959: INFO @metrics_hook: train age_mae: 8.757 +-0.151 (13807) 2021-02-05 00:12:00.961: INFO @metrics_hook: train gender_accuracy: 0.875 +-0.006 (13807) 2021-02-05 00:12:02.529: INFO @metrics_hook: valid age_mae: 8.665 +-0.270 (3986) 2021-02-05 00:12:02.529: INFO @metrics_hook: valid gender_accuracy: 0.877 +-0.010 (3986) 2021-02-05 00:12:03.997: INFO @decay_lr : LR updated to `9.809971e-05` 2021-02-05 00:12:03.998: INFO @log_profile : T train: 12.830487 2021-02-05 00:12:03.998: INFO @log_profile : T valid: 1.576608 2021-02-05 00:12:03.998: INFO @log_profile : T read data: 0.511545 2021-02-05 00:12:03.998: INFO @log_profile : T hooks: 3.647316 2021-02-05 00:12:03.998: INFO @main_loop : Epoch 223 done 2021-02-05 00:12:03.998: INFO @main_loop : Training epoch 224 2021-02-05 00:12:18.930: INFO @log_variables: train loss nanmean: 1.235698 2021-02-05 00:12:18.930: INFO @log_variables: train age_loss mean: 9.320011 2021-02-05 00:12:18.930: INFO @log_variables: train gender_loss mean: 0.287802 2021-02-05 00:12:18.930: INFO @log_variables: train age_mae mean: 8.744895 2021-02-05 00:12:18.930: INFO @log_variables: train gender_accuracy mean: 0.875506 2021-02-05 00:12:18.930: INFO @log_variables: train gender_confidence/loss nanmean: 0.069113 2021-02-05 00:12:18.931: INFO @log_variables: train gender_confidence/accuracy mean: 0.781901 2021-02-05 00:12:18.931: INFO @log_variables: train age_confidence/loss mean: 0.057674 2021-02-05 00:12:18.931: INFO @log_variables: train age_confidence/accuracy mean: 0.672164 2021-02-05 00:12:18.931: INFO @log_variables: valid loss nanmean: 1.219250 2021-02-05 00:12:18.931: INFO @log_variables: valid age_loss mean: 9.132365 2021-02-05 00:12:18.931: INFO @log_variables: valid gender_loss mean: 0.280633 2021-02-05 00:12:18.931: INFO @log_variables: valid age_mae mean: 8.546102 2021-02-05 00:12:18.931: INFO @log_variables: valid gender_accuracy mean: 0.885600 2021-02-05 00:12:18.931: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071856 2021-02-05 00:12:18.931: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847215 2021-02-05 00:12:18.931: INFO @log_variables: valid age_confidence/loss mean: 0.062058 2021-02-05 00:12:18.931: INFO @log_variables: valid age_confidence/accuracy mean: 0.637983 2021-02-05 00:12:18.931: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:12:18.933: INFO @metrics_hook: train age_mae: 8.745 +-0.149 (13824) 2021-02-05 00:12:18.934: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13824) 2021-02-05 00:12:20.327: INFO @metrics_hook: valid age_mae: 8.546 +-0.269 (3986) 2021-02-05 00:12:20.328: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:12:21.597: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:12:21.597: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:12:21.597: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:12:21.597: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:12:21.682: INFO @evaluate_confidence: Previous accuracy would be: 87.55 2021-02-05 00:12:21.682: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:12:21.687: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.28, 93.43, 93.71, 93.89, 94.09, 94.31, 94.46, 94.57, 94.71, 94.92, 95.02, 95.27, 95.39, 95.51, 95.67, 95.87, 96.0, 96.19, 96.37, 96.57, 96.78, 96.97, 97.1, 97.23, 97.42, 97.55] 2021-02-05 00:12:21.687: INFO @evaluate_confidence: Dropped ratios are: [22.63, 23.77, 24.8, 25.86, 27.01, 28.14, 29.3, 30.41, 31.47, 32.68, 33.75, 34.85, 36.07, 37.12, 38.22, 39.24, 40.3, 41.36, 42.33, 43.29, 44.31, 45.41, 46.37, 47.47, 48.71, 49.8] 2021-02-05 00:12:21.693: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:12:21.693: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:12:21.693: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:12:21.694: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:12:21.789: INFO @evaluate_confidence: Previous accuracy would be: 43.83 2021-02-05 00:12:21.789: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:12:21.792: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.41, 57.77, 59.51, 60.68, 62.37, 63.57, 64.8, 66.06, 67.4, 68.47, 69.57, 70.72, 71.75, 72.59, 73.79] 2021-02-05 00:12:21.793: INFO @evaluate_confidence: Dropped ratios are: [48.52, 51.9, 55.12, 57.81, 60.28, 62.51, 64.65, 66.45, 68.22, 69.97, 71.78, 73.22, 74.52, 75.67, 76.92] 2021-02-05 00:12:21.794: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:12:21.794: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:12:21.794: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:12:21.794: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:12:21.866: INFO @evaluate_confidence: Previous accuracy would be: 88.56 2021-02-05 00:12:21.867: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:12:21.868: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.59, 93.86, 94.16, 94.31, 94.33, 94.69, 94.72, 94.87, 95.08, 95.31, 95.55, 95.82, 95.91, 96.22, 96.57, 96.67, 96.74, 97.07, 97.04, 97.1, 97.37, 97.41, 97.4, 97.45, 97.57, 97.65] 2021-02-05 00:12:21.868: INFO @evaluate_confidence: Dropped ratios are: [18.54, 19.54, 20.55, 21.5, 22.53, 23.53, 24.39, 25.16, 26.12, 27.2, 28.35, 29.1, 30.03, 30.93, 31.89, 32.94, 33.79, 34.85, 35.62, 36.8, 37.88, 38.96, 40.12, 41.04, 42.12, 43.3] 2021-02-05 00:12:21.870: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:12:21.870: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.50 +- 0.19 2021-02-05 00:12:21.870: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:12:21.870: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.16 2021-02-05 00:12:21.957: INFO @evaluate_confidence: Previous accuracy would be: 43.05 2021-02-05 00:12:21.957: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:12:21.958: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.09, 55.45, 56.31, 57.53, 59.24, 60.06, 61.58, 62.22, 63.64, 64.41] 2021-02-05 00:12:21.958: INFO @evaluate_confidence: Dropped ratios are: [52.13, 55.57, 58.83, 61.84, 64.85, 67.71, 70.42, 72.7, 74.61, 76.24] 2021-02-05 00:12:21.968: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:12:22.337: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:12:22.393: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:12:22.695: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:12:22.870: INFO @decay_lr : LR updated to `9.7609205e-05` 2021-02-05 00:12:22.872: INFO @log_profile : T train: 12.456905 2021-02-05 00:12:22.872: INFO @log_profile : T valid: 1.416946 2021-02-05 00:12:22.872: INFO @log_profile : T read data: 0.413634 2021-02-05 00:12:22.872: INFO @log_profile : T hooks: 4.538011 2021-02-05 00:12:22.872: INFO @main_loop : Epoch 224 done 2021-02-05 00:12:22.872: INFO @main_loop : Training epoch 225 2021-02-05 00:12:38.502: INFO @log_variables: train loss nanmean: 1.213833 2021-02-05 00:12:38.502: INFO @log_variables: train age_loss mean: 9.201282 2021-02-05 00:12:38.502: INFO @log_variables: train gender_loss mean: 0.274446 2021-02-05 00:12:38.502: INFO @log_variables: train age_mae mean: 8.630168 2021-02-05 00:12:38.502: INFO @log_variables: train gender_accuracy mean: 0.882306 2021-02-05 00:12:38.502: INFO @log_variables: train gender_confidence/loss nanmean: 0.069098 2021-02-05 00:12:38.502: INFO @log_variables: train gender_confidence/accuracy mean: 0.781850 2021-02-05 00:12:38.502: INFO @log_variables: train age_confidence/loss mean: 0.058759 2021-02-05 00:12:38.503: INFO @log_variables: train age_confidence/accuracy mean: 0.666763 2021-02-05 00:12:38.503: INFO @log_variables: valid loss nanmean: 1.227616 2021-02-05 00:12:38.503: INFO @log_variables: valid age_loss mean: 9.151185 2021-02-05 00:12:38.503: INFO @log_variables: valid gender_loss mean: 0.286635 2021-02-05 00:12:38.503: INFO @log_variables: valid age_mae mean: 8.564510 2021-02-05 00:12:38.503: INFO @log_variables: valid gender_accuracy mean: 0.884847 2021-02-05 00:12:38.503: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073123 2021-02-05 00:12:38.503: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838435 2021-02-05 00:12:38.503: INFO @log_variables: valid age_confidence/loss mean: 0.061990 2021-02-05 00:12:38.503: INFO @log_variables: valid age_confidence/accuracy mean: 0.632715 2021-02-05 00:12:38.503: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:12:38.505: INFO @metrics_hook: train age_mae: 8.630 +-0.147 (13807) 2021-02-05 00:12:38.506: INFO @metrics_hook: train gender_accuracy: 0.882 +-0.005 (13807) 2021-02-05 00:12:39.898: INFO @metrics_hook: valid age_mae: 8.565 +-0.267 (3986) 2021-02-05 00:12:39.899: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:12:41.222: INFO @decay_lr : LR updated to `9.7121156e-05` 2021-02-05 00:12:41.223: INFO @log_profile : T train: 12.877104 2021-02-05 00:12:41.223: INFO @log_profile : T valid: 1.598977 2021-02-05 00:12:41.223: INFO @log_profile : T read data: 0.510024 2021-02-05 00:12:41.223: INFO @log_profile : T hooks: 3.315247 2021-02-05 00:12:41.223: INFO @main_loop : Epoch 225 done 2021-02-05 00:12:41.223: INFO @main_loop : Training epoch 226 2021-02-05 00:12:56.815: INFO @log_variables: train loss nanmean: 1.241080 2021-02-05 00:12:56.815: INFO @log_variables: train age_loss mean: 9.381520 2021-02-05 00:12:56.815: INFO @log_variables: train gender_loss mean: 0.285481 2021-02-05 00:12:56.815: INFO @log_variables: train age_mae mean: 8.804437 2021-02-05 00:12:56.815: INFO @log_variables: train gender_accuracy mean: 0.879340 2021-02-05 00:12:56.816: INFO @log_variables: train gender_confidence/loss nanmean: 0.070793 2021-02-05 00:12:56.816: INFO @log_variables: train gender_confidence/accuracy mean: 0.770182 2021-02-05 00:12:56.816: INFO @log_variables: train age_confidence/loss mean: 0.057894 2021-02-05 00:12:56.816: INFO @log_variables: train age_confidence/accuracy mean: 0.666884 2021-02-05 00:12:56.816: INFO @log_variables: valid loss nanmean: 1.220840 2021-02-05 00:12:56.816: INFO @log_variables: valid age_loss mean: 9.121433 2021-02-05 00:12:56.816: INFO @log_variables: valid gender_loss mean: 0.283301 2021-02-05 00:12:56.816: INFO @log_variables: valid age_mae mean: 8.534104 2021-02-05 00:12:56.816: INFO @log_variables: valid gender_accuracy mean: 0.881586 2021-02-05 00:12:56.816: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072643 2021-02-05 00:12:56.816: INFO @log_variables: valid gender_confidence/accuracy mean: 0.832163 2021-02-05 00:12:56.816: INFO @log_variables: valid age_confidence/loss mean: 0.061429 2021-02-05 00:12:56.816: INFO @log_variables: valid age_confidence/accuracy mean: 0.641997 2021-02-05 00:12:56.816: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:12:56.818: INFO @metrics_hook: train age_mae: 8.804 +-0.150 (13824) 2021-02-05 00:12:56.820: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:12:58.205: INFO @metrics_hook: valid age_mae: 8.534 +-0.265 (3986) 2021-02-05 00:12:58.205: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:12:59.428: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:12:59.428: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.23 2021-02-05 00:12:59.428: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:12:59.428: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:12:59.500: INFO @evaluate_confidence: Previous accuracy would be: 87.93 2021-02-05 00:12:59.500: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:12:59.506: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.89, 93.09, 93.41, 93.55, 93.79, 94.07, 94.25, 94.54, 94.73, 94.89, 95.01, 95.14, 95.35, 95.48, 95.65, 95.78, 95.96, 96.12, 96.2, 96.4, 96.6, 96.76, 96.91, 97.12, 97.33, 97.43] 2021-02-05 00:12:59.506: INFO @evaluate_confidence: Dropped ratios are: [22.9, 23.95, 25.18, 26.24, 27.52, 28.6, 29.61, 30.67, 31.9, 32.84, 33.89, 34.9, 36.15, 37.23, 38.29, 39.34, 40.49, 41.67, 42.65, 43.74, 44.93, 45.93, 47.01, 48.08, 49.15, 50.24] 2021-02-05 00:12:59.511: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:12:59.511: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:12:59.512: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:12:59.512: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:12:59.603: INFO @evaluate_confidence: Previous accuracy would be: 43.87 2021-02-05 00:12:59.603: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:12:59.606: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.14, 59.5, 60.49, 61.84, 62.88, 63.91, 65.07, 66.14, 66.81, 67.94, 69.06, 70.51, 71.46, 72.44] 2021-02-05 00:12:59.606: INFO @evaluate_confidence: Dropped ratios are: [50.09, 53.1, 55.95, 58.51, 60.81, 62.96, 65.07, 67.19, 68.89, 70.56, 72.13, 73.56, 74.96, 76.16] 2021-02-05 00:12:59.608: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:12:59.608: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:12:59.608: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.18 2021-02-05 00:12:59.608: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.22 2021-02-05 00:12:59.678: INFO @evaluate_confidence: Previous accuracy would be: 88.16 2021-02-05 00:12:59.679: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:12:59.680: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.35, 93.74, 94.03, 94.15, 94.4, 94.54, 94.68, 94.84, 95.18, 95.36, 95.63, 95.74, 95.75, 95.89, 96.09, 96.27, 96.29, 96.57, 96.72, 96.86, 97.0, 97.06, 97.22, 97.25, 97.28, 97.4] 2021-02-05 00:12:59.680: INFO @evaluate_confidence: Dropped ratios are: [19.69, 20.7, 21.48, 22.38, 23.33, 24.16, 25.09, 26.07, 27.2, 28.1, 28.75, 29.85, 30.93, 31.61, 32.59, 33.37, 34.42, 35.62, 36.53, 37.58, 38.91, 40.29, 41.45, 42.57, 43.73, 44.96] 2021-02-05 00:12:59.682: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:12:59.682: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:12:59.682: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:12:59.682: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.15 2021-02-05 00:12:59.763: INFO @evaluate_confidence: Previous accuracy would be: 42.75 2021-02-05 00:12:59.763: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:12:59.765: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.65, 55.56, 56.8, 57.46, 59.01, 60.2, 60.85, 61.9, 62.58, 62.79] 2021-02-05 00:12:59.765: INFO @evaluate_confidence: Dropped ratios are: [52.48, 55.52, 58.3, 60.84, 63.95, 66.66, 68.54, 70.5, 72.38, 74.11] 2021-02-05 00:12:59.774: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:13:00.126: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:13:00.184: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:13:00.447: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:13:00.598: INFO @decay_lr : LR updated to `9.663555e-05` 2021-02-05 00:13:00.599: INFO @log_profile : T train: 12.963119 2021-02-05 00:13:00.599: INFO @log_profile : T valid: 1.586121 2021-02-05 00:13:00.599: INFO @log_profile : T read data: 0.403439 2021-02-05 00:13:00.599: INFO @log_profile : T hooks: 4.373619 2021-02-05 00:13:00.599: INFO @main_loop : Epoch 226 done 2021-02-05 00:13:00.599: INFO @main_loop : Training epoch 227 2021-02-05 00:13:15.955: INFO @log_variables: train loss nanmean: 1.228275 2021-02-05 00:13:15.955: INFO @log_variables: train age_loss mean: 9.236207 2021-02-05 00:13:15.955: INFO @log_variables: train gender_loss mean: 0.285537 2021-02-05 00:13:15.956: INFO @log_variables: train age_mae mean: 8.663060 2021-02-05 00:13:15.956: INFO @log_variables: train gender_accuracy mean: 0.880055 2021-02-05 00:13:15.956: INFO @log_variables: train gender_confidence/loss nanmean: 0.071009 2021-02-05 00:13:15.956: INFO @log_variables: train gender_confidence/accuracy mean: 0.778413 2021-02-05 00:13:15.956: INFO @log_variables: train age_confidence/loss mean: 0.058031 2021-02-05 00:13:15.956: INFO @log_variables: train age_confidence/accuracy mean: 0.667221 2021-02-05 00:13:15.956: INFO @log_variables: valid loss nanmean: 1.232428 2021-02-05 00:13:15.956: INFO @log_variables: valid age_loss mean: 9.180038 2021-02-05 00:13:15.956: INFO @log_variables: valid gender_loss mean: 0.290595 2021-02-05 00:13:15.956: INFO @log_variables: valid age_mae mean: 8.590510 2021-02-05 00:13:15.956: INFO @log_variables: valid gender_accuracy mean: 0.878575 2021-02-05 00:13:15.956: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071901 2021-02-05 00:13:15.956: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835173 2021-02-05 00:13:15.956: INFO @log_variables: valid age_confidence/loss mean: 0.061801 2021-02-05 00:13:15.956: INFO @log_variables: valid age_confidence/accuracy mean: 0.635976 2021-02-05 00:13:15.956: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:13:15.958: INFO @metrics_hook: train age_mae: 8.663 +-0.148 (13823) 2021-02-05 00:13:15.960: INFO @metrics_hook: train gender_accuracy: 0.880 +-0.006 (13823) 2021-02-05 00:13:17.354: INFO @metrics_hook: valid age_mae: 8.591 +-0.271 (3986) 2021-02-05 00:13:17.354: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-05 00:13:18.666: INFO @decay_lr : LR updated to `9.615238e-05` 2021-02-05 00:13:18.667: INFO @log_profile : T train: 12.763592 2021-02-05 00:13:18.667: INFO @log_profile : T valid: 1.548959 2021-02-05 00:13:18.667: INFO @log_profile : T read data: 0.401504 2021-02-05 00:13:18.667: INFO @log_profile : T hooks: 3.305607 2021-02-05 00:13:18.667: INFO @main_loop : Epoch 227 done 2021-02-05 00:13:18.667: INFO @main_loop : Training epoch 228 2021-02-05 00:13:34.240: INFO @log_variables: train loss nanmean: 1.225887 2021-02-05 00:13:34.241: INFO @log_variables: train age_loss mean: 9.205885 2021-02-05 00:13:34.241: INFO @log_variables: train gender_loss mean: 0.286855 2021-02-05 00:13:34.241: INFO @log_variables: train age_mae mean: 8.635574 2021-02-05 00:13:34.241: INFO @log_variables: train gender_accuracy mean: 0.875498 2021-02-05 00:13:34.241: INFO @log_variables: train gender_confidence/loss nanmean: 0.069630 2021-02-05 00:13:34.241: INFO @log_variables: train gender_confidence/accuracy mean: 0.782212 2021-02-05 00:13:34.241: INFO @log_variables: train age_confidence/loss mean: 0.058580 2021-02-05 00:13:34.241: INFO @log_variables: train age_confidence/accuracy mean: 0.668067 2021-02-05 00:13:34.241: INFO @log_variables: valid loss nanmean: 1.230400 2021-02-05 00:13:34.241: INFO @log_variables: valid age_loss mean: 9.124063 2021-02-05 00:13:34.241: INFO @log_variables: valid gender_loss mean: 0.293071 2021-02-05 00:13:34.241: INFO @log_variables: valid age_mae mean: 8.536495 2021-02-05 00:13:34.241: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:13:34.241: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072382 2021-02-05 00:13:34.241: INFO @log_variables: valid gender_confidence/accuracy mean: 0.830156 2021-02-05 00:13:34.241: INFO @log_variables: valid age_confidence/loss mean: 0.062130 2021-02-05 00:13:34.241: INFO @log_variables: valid age_confidence/accuracy mean: 0.646262 2021-02-05 00:13:34.242: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:13:34.243: INFO @metrics_hook: train age_mae: 8.636 +-0.150 (13807) 2021-02-05 00:13:34.245: INFO @metrics_hook: train gender_accuracy: 0.875 +-0.006 (13807) 2021-02-05 00:13:35.642: INFO @metrics_hook: valid age_mae: 8.536 +-0.269 (3986) 2021-02-05 00:13:35.642: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:13:36.853: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:13:36.854: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:13:36.854: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:13:36.854: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:13:36.930: INFO @evaluate_confidence: Previous accuracy would be: 87.55 2021-02-05 00:13:36.930: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:13:36.935: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.15, 93.46, 93.7, 93.9, 94.02, 94.23, 94.41, 94.57, 94.75, 94.96, 95.12, 95.19, 95.32, 95.45, 95.63, 95.78, 95.96, 96.02, 96.21, 96.44, 96.54, 96.78, 96.93, 97.12, 97.25] 2021-02-05 00:13:36.936: INFO @evaluate_confidence: Dropped ratios are: [23.14, 24.34, 25.51, 26.62, 27.68, 28.86, 29.99, 31.06, 32.01, 33.28, 34.57, 35.59, 36.66, 37.73, 38.89, 39.95, 40.81, 41.9, 43.01, 44.18, 45.34, 46.53, 47.69, 48.61, 49.68] 2021-02-05 00:13:36.941: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:13:36.941: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:13:36.941: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:13:36.942: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:13:37.033: INFO @evaluate_confidence: Previous accuracy would be: 44.91 2021-02-05 00:13:37.033: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:13:37.037: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.62, 59.79, 60.97, 62.21, 63.27, 64.43, 65.5, 66.59, 68.09, 69.04, 70.2, 71.08, 72.14, 73.05] 2021-02-05 00:13:37.037: INFO @evaluate_confidence: Dropped ratios are: [49.49, 52.52, 55.09, 57.49, 59.69, 61.84, 63.76, 65.75, 67.61, 69.22, 70.86, 72.35, 73.88, 75.06] 2021-02-05 00:13:37.038: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:13:37.039: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:13:37.039: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:13:37.039: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:13:37.107: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:13:37.107: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:13:37.109: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.87, 93.01, 93.26, 93.67, 93.92, 94.2, 94.47, 94.66, 94.67, 94.88, 95.15, 95.23, 95.5, 95.62, 95.89, 95.94, 96.26, 96.59, 96.65, 96.82, 97.09, 97.26, 97.4, 97.39, 97.47] 2021-02-05 00:13:37.109: INFO @evaluate_confidence: Dropped ratios are: [20.15, 21.05, 21.83, 22.65, 23.66, 24.71, 25.64, 26.67, 27.55, 28.52, 29.6, 30.58, 31.38, 32.39, 33.49, 34.5, 35.67, 36.8, 37.88, 39.29, 40.42, 41.45, 43.1, 44.23, 45.38] 2021-02-05 00:13:37.111: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:13:37.111: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:13:37.111: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:13:37.111: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:13:37.193: INFO @evaluate_confidence: Previous accuracy would be: 42.88 2021-02-05 00:13:37.193: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:13:37.194: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.72, 54.69, 55.99, 56.95, 58.15, 58.9, 60.39, 62.48, 63.36, 63.9] 2021-02-05 00:13:37.194: INFO @evaluate_confidence: Dropped ratios are: [50.78, 54.26, 57.48, 60.09, 62.77, 65.2, 67.64, 70.25, 71.93, 73.73] 2021-02-05 00:13:37.203: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:13:49.747: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:13:49.808: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:13:50.094: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:13:50.253: INFO @decay_lr : LR updated to `9.567162e-05` 2021-02-05 00:13:50.255: INFO @log_profile : T train: 12.888200 2021-02-05 00:13:50.255: INFO @log_profile : T valid: 1.530538 2021-02-05 00:13:50.255: INFO @log_profile : T read data: 0.508526 2021-02-05 00:13:50.255: INFO @log_profile : T hooks: 16.611249 2021-02-05 00:13:50.255: INFO @main_loop : Epoch 228 done 2021-02-05 00:13:50.255: INFO @main_loop : Training epoch 229 2021-02-05 00:14:05.744: INFO @log_variables: train loss nanmean: 1.237904 2021-02-05 00:14:05.744: INFO @log_variables: train age_loss mean: 9.268219 2021-02-05 00:14:05.744: INFO @log_variables: train gender_loss mean: 0.293575 2021-02-05 00:14:05.744: INFO @log_variables: train age_mae mean: 8.697828 2021-02-05 00:14:05.744: INFO @log_variables: train gender_accuracy mean: 0.876736 2021-02-05 00:14:05.744: INFO @log_variables: train gender_confidence/loss nanmean: 0.070850 2021-02-05 00:14:05.745: INFO @log_variables: train gender_confidence/accuracy mean: 0.776837 2021-02-05 00:14:05.745: INFO @log_variables: train age_confidence/loss mean: 0.057602 2021-02-05 00:14:05.745: INFO @log_variables: train age_confidence/accuracy mean: 0.675492 2021-02-05 00:14:05.745: INFO @log_variables: valid loss nanmean: 1.231261 2021-02-05 00:14:05.745: INFO @log_variables: valid age_loss mean: 9.142861 2021-02-05 00:14:05.745: INFO @log_variables: valid gender_loss mean: 0.292435 2021-02-05 00:14:05.745: INFO @log_variables: valid age_mae mean: 8.555932 2021-02-05 00:14:05.745: INFO @log_variables: valid gender_accuracy mean: 0.878324 2021-02-05 00:14:05.745: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072492 2021-02-05 00:14:05.745: INFO @log_variables: valid gender_confidence/accuracy mean: 0.829152 2021-02-05 00:14:05.745: INFO @log_variables: valid age_confidence/loss mean: 0.061749 2021-02-05 00:14:05.745: INFO @log_variables: valid age_confidence/accuracy mean: 0.642750 2021-02-05 00:14:05.745: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:14:05.747: INFO @metrics_hook: train age_mae: 8.698 +-0.147 (13824) 2021-02-05 00:14:05.749: INFO @metrics_hook: train gender_accuracy: 0.877 +-0.006 (13824) 2021-02-05 00:14:07.167: INFO @metrics_hook: valid age_mae: 8.556 +-0.269 (3986) 2021-02-05 00:14:07.168: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-05 00:14:08.492: INFO @decay_lr : LR updated to `9.519326e-05` 2021-02-05 00:14:08.493: INFO @log_profile : T train: 12.909666 2021-02-05 00:14:08.493: INFO @log_profile : T valid: 1.559764 2021-02-05 00:14:08.493: INFO @log_profile : T read data: 0.397087 2021-02-05 00:14:08.493: INFO @log_profile : T hooks: 3.323386 2021-02-05 00:14:08.493: INFO @main_loop : Epoch 229 done 2021-02-05 00:14:08.493: INFO @main_loop : Training epoch 230 2021-02-05 00:14:24.676: INFO @log_variables: train loss nanmean: 1.213829 2021-02-05 00:14:24.676: INFO @log_variables: train age_loss mean: 9.096718 2021-02-05 00:14:24.676: INFO @log_variables: train gender_loss mean: 0.284824 2021-02-05 00:14:24.676: INFO @log_variables: train age_mae mean: 8.528234 2021-02-05 00:14:24.676: INFO @log_variables: train gender_accuracy mean: 0.876447 2021-02-05 00:14:24.676: INFO @log_variables: train gender_confidence/loss nanmean: 0.069095 2021-02-05 00:14:24.676: INFO @log_variables: train gender_confidence/accuracy mean: 0.775897 2021-02-05 00:14:24.676: INFO @log_variables: train age_confidence/loss mean: 0.058829 2021-02-05 00:14:24.676: INFO @log_variables: train age_confidence/accuracy mean: 0.665437 2021-02-05 00:14:24.676: INFO @log_variables: valid loss nanmean: 1.234969 2021-02-05 00:14:24.676: INFO @log_variables: valid age_loss mean: 9.248713 2021-02-05 00:14:24.676: INFO @log_variables: valid gender_loss mean: 0.284326 2021-02-05 00:14:24.676: INFO @log_variables: valid age_mae mean: 8.658536 2021-02-05 00:14:24.676: INFO @log_variables: valid gender_accuracy mean: 0.886101 2021-02-05 00:14:24.676: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074182 2021-02-05 00:14:24.676: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838435 2021-02-05 00:14:24.677: INFO @log_variables: valid age_confidence/loss mean: 0.061518 2021-02-05 00:14:24.677: INFO @log_variables: valid age_confidence/accuracy mean: 0.640492 2021-02-05 00:14:24.677: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:14:24.678: INFO @metrics_hook: train age_mae: 8.528 +-0.149 (13824) 2021-02-05 00:14:24.680: INFO @metrics_hook: train gender_accuracy: 0.876 +-0.006 (13824) 2021-02-05 00:14:26.093: INFO @metrics_hook: valid age_mae: 8.659 +-0.273 (3986) 2021-02-05 00:14:26.093: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:14:27.318: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:14:27.318: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:14:27.318: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.17 2021-02-05 00:14:27.318: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:14:27.397: INFO @evaluate_confidence: Previous accuracy would be: 87.64 2021-02-05 00:14:27.398: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:14:27.403: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.14, 93.41, 93.56, 93.71, 93.86, 94.08, 94.26, 94.47, 94.78, 94.97, 95.12, 95.31, 95.49, 95.69, 95.82, 95.97, 96.12, 96.21, 96.42, 96.52, 96.69, 96.89, 97.01, 97.12, 97.21, 97.34, 97.49] 2021-02-05 00:14:27.403: INFO @evaluate_confidence: Dropped ratios are: [22.11, 23.32, 24.41, 25.38, 26.45, 27.56, 28.43, 29.46, 30.6, 31.66, 32.68, 33.64, 34.74, 35.85, 36.82, 37.86, 38.84, 39.81, 40.96, 41.93, 43.11, 44.26, 45.12, 46.05, 47.14, 48.27, 49.37] 2021-02-05 00:14:27.409: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:14:27.409: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:14:27.409: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:14:27.409: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:14:27.499: INFO @evaluate_confidence: Previous accuracy would be: 45.44 2021-02-05 00:14:27.500: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:14:27.503: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.56, 59.89, 60.93, 62.04, 63.62, 64.7, 66.03, 67.24, 68.24, 69.19, 70.15, 71.01, 72.32, 73.17, 74.18] 2021-02-05 00:14:27.503: INFO @evaluate_confidence: Dropped ratios are: [48.57, 51.36, 54.09, 56.57, 59.04, 61.31, 63.56, 65.38, 67.15, 68.77, 70.49, 71.9, 73.44, 74.79, 75.99] 2021-02-05 00:14:27.505: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:14:27.505: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:14:27.505: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:14:27.505: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:14:27.574: INFO @evaluate_confidence: Previous accuracy would be: 88.61 2021-02-05 00:14:27.574: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:14:27.576: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.45, 93.83, 94.0, 94.18, 94.31, 94.45, 94.68, 94.97, 95.19, 95.31, 95.6, 95.78, 95.94, 96.24, 96.39, 96.52, 96.61, 96.68, 96.76, 96.83, 96.98, 97.14, 97.26, 97.43, 97.7] 2021-02-05 00:14:27.576: INFO @evaluate_confidence: Dropped ratios are: [19.92, 20.75, 21.78, 22.78, 23.71, 24.99, 25.97, 27.15, 27.95, 28.83, 29.9, 31.03, 32.09, 33.22, 34.67, 35.85, 37.05, 37.96, 38.74, 39.84, 40.97, 42.1, 43.23, 44.33, 45.41] 2021-02-05 00:14:27.578: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:14:27.578: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:14:27.578: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:14:27.578: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:14:27.659: INFO @evaluate_confidence: Previous accuracy would be: 43.13 2021-02-05 00:14:27.659: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:14:27.660: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.14, 55.86, 57.2, 58.08, 59.65, 60.76, 61.81, 62.39, 63.25] 2021-02-05 00:14:27.660: INFO @evaluate_confidence: Dropped ratios are: [52.68, 56.12, 59.08, 61.64, 64.38, 66.88, 68.99, 71.05, 72.83] 2021-02-05 00:14:27.669: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:14:28.034: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:14:28.087: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:14:28.347: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:14:28.403: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:14:28.769: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:14:28.824: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:14:28.824: INFO @evaluate_gender-age_model: groups 0 5.533735 1 9.107471 2 9.250694 3 7.897947 4 9.041907 5 9.415061 6 9.628624 7 8.020100 Name: errors, dtype: float64 2021-02-05 00:14:28.825: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:14:29.090: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:14:29.145: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:14:29.145: INFO @evaluate_gender-age_model: groups 0 6.459414 1 8.804380 2 8.644353 3 7.727152 4 9.020397 5 9.548786 6 9.338964 7 8.851124 Name: errors, dtype: float64 2021-02-05 00:14:29.243: INFO @decay_lr : LR updated to `9.4717296e-05` 2021-02-05 00:14:29.244: INFO @log_profile : T train: 12.903322 2021-02-05 00:14:29.244: INFO @log_profile : T valid: 1.627052 2021-02-05 00:14:29.244: INFO @log_profile : T read data: 0.402519 2021-02-05 00:14:29.244: INFO @log_profile : T hooks: 5.770407 2021-02-05 00:14:29.244: INFO @main_loop : Epoch 230 done 2021-02-05 00:14:29.244: INFO @main_loop : Training epoch 231 2021-02-05 00:14:44.961: INFO @log_variables: train loss nanmean: 1.224614 2021-02-05 00:14:44.961: INFO @log_variables: train age_loss mean: 9.223315 2021-02-05 00:14:44.961: INFO @log_variables: train gender_loss mean: 0.284056 2021-02-05 00:14:44.961: INFO @log_variables: train age_mae mean: 8.650174 2021-02-05 00:14:44.961: INFO @log_variables: train gender_accuracy mean: 0.878612 2021-02-05 00:14:44.961: INFO @log_variables: train gender_confidence/loss nanmean: 0.069862 2021-02-05 00:14:44.961: INFO @log_variables: train gender_confidence/accuracy mean: 0.775476 2021-02-05 00:14:44.961: INFO @log_variables: train age_confidence/loss mean: 0.058037 2021-02-05 00:14:44.961: INFO @log_variables: train age_confidence/accuracy mean: 0.661838 2021-02-05 00:14:44.962: INFO @log_variables: valid loss nanmean: 1.239764 2021-02-05 00:14:44.962: INFO @log_variables: valid age_loss mean: 9.278950 2021-02-05 00:14:44.962: INFO @log_variables: valid gender_loss mean: 0.286295 2021-02-05 00:14:44.962: INFO @log_variables: valid age_mae mean: 8.687580 2021-02-05 00:14:44.962: INFO @log_variables: valid gender_accuracy mean: 0.882087 2021-02-05 00:14:44.962: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073513 2021-02-05 00:14:44.962: INFO @log_variables: valid gender_confidence/accuracy mean: 0.831661 2021-02-05 00:14:44.962: INFO @log_variables: valid age_confidence/loss mean: 0.062442 2021-02-05 00:14:44.962: INFO @log_variables: valid age_confidence/accuracy mean: 0.631460 2021-02-05 00:14:44.962: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:14:44.964: INFO @metrics_hook: train age_mae: 8.650 +-0.147 (13807) 2021-02-05 00:14:44.966: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13807) 2021-02-05 00:14:46.374: INFO @metrics_hook: valid age_mae: 8.688 +-0.279 (3986) 2021-02-05 00:14:46.375: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:14:47.689: INFO @decay_lr : LR updated to `9.424371e-05` 2021-02-05 00:14:47.690: INFO @log_profile : T train: 12.922314 2021-02-05 00:14:47.690: INFO @log_profile : T valid: 1.626187 2021-02-05 00:14:47.690: INFO @log_profile : T read data: 0.514211 2021-02-05 00:14:47.690: INFO @log_profile : T hooks: 3.335158 2021-02-05 00:14:47.691: INFO @main_loop : Epoch 231 done 2021-02-05 00:14:47.691: INFO @main_loop : Training epoch 232 2021-02-05 00:15:03.191: INFO @log_variables: train loss nanmean: 1.222784 2021-02-05 00:15:03.191: INFO @log_variables: train age_loss mean: 9.190352 2021-02-05 00:15:03.191: INFO @log_variables: train gender_loss mean: 0.284269 2021-02-05 00:15:03.191: INFO @log_variables: train age_mae mean: 8.619543 2021-02-05 00:15:03.191: INFO @log_variables: train gender_accuracy mean: 0.881366 2021-02-05 00:15:03.191: INFO @log_variables: train gender_confidence/loss nanmean: 0.071153 2021-02-05 00:15:03.191: INFO @log_variables: train gender_confidence/accuracy mean: 0.771340 2021-02-05 00:15:03.191: INFO @log_variables: train age_confidence/loss mean: 0.057718 2021-02-05 00:15:03.191: INFO @log_variables: train age_confidence/accuracy mean: 0.674045 2021-02-05 00:15:03.191: INFO @log_variables: valid loss nanmean: 1.232224 2021-02-05 00:15:03.191: INFO @log_variables: valid age_loss mean: 9.189467 2021-02-05 00:15:03.191: INFO @log_variables: valid gender_loss mean: 0.288685 2021-02-05 00:15:03.191: INFO @log_variables: valid age_mae mean: 8.598548 2021-02-05 00:15:03.192: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:15:03.192: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072555 2021-02-05 00:15:03.192: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833166 2021-02-05 00:15:03.192: INFO @log_variables: valid age_confidence/loss mean: 0.061822 2021-02-05 00:15:03.192: INFO @log_variables: valid age_confidence/accuracy mean: 0.640993 2021-02-05 00:15:03.192: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:15:03.194: INFO @metrics_hook: train age_mae: 8.620 +-0.147 (13824) 2021-02-05 00:15:03.196: INFO @metrics_hook: train gender_accuracy: 0.881 +-0.006 (13824) 2021-02-05 00:15:04.646: INFO @metrics_hook: valid age_mae: 8.599 +-0.273 (3986) 2021-02-05 00:15:04.646: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:15:05.897: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:15:05.897: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:15:05.897: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:15:05.897: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:15:05.975: INFO @evaluate_confidence: Previous accuracy would be: 88.14 2021-02-05 00:15:05.976: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:15:05.982: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.24, 93.43, 93.66, 93.86, 94.03, 94.15, 94.44, 94.58, 94.64, 94.88, 95.1, 95.28, 95.49, 95.64, 95.8, 96.02, 96.15, 96.27, 96.41, 96.61, 96.74, 96.86, 97.03, 97.16, 97.24] 2021-02-05 00:15:05.982: INFO @evaluate_confidence: Dropped ratios are: [23.68, 24.86, 25.98, 27.03, 28.05, 29.04, 30.25, 31.41, 32.51, 33.56, 34.47, 35.6, 36.62, 37.81, 38.85, 39.96, 41.18, 42.27, 43.33, 44.55, 45.65, 46.74, 47.92, 49.08, 50.19] 2021-02-05 00:15:05.990: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:15:05.990: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:15:05.990: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:15:05.990: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:15:06.087: INFO @evaluate_confidence: Previous accuracy would be: 44.05 2021-02-05 00:15:06.087: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:15:06.091: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.5, 58.51, 59.73, 61.21, 62.65, 63.77, 65.23, 66.57, 67.89, 69.14, 70.15, 71.41, 72.48, 73.3, 74.56] 2021-02-05 00:15:06.091: INFO @evaluate_confidence: Dropped ratios are: [49.15, 52.28, 55.08, 57.91, 60.43, 62.48, 64.74, 66.7, 68.57, 70.11, 71.58, 73.03, 74.35, 75.48, 76.82] 2021-02-05 00:15:06.093: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:15:06.093: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:15:06.093: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.18 2021-02-05 00:15:06.093: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:15:06.167: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:15:06.168: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:15:06.169: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.37, 93.54, 93.7, 93.9, 94.07, 94.2, 94.39, 94.61, 94.89, 95.11, 95.27, 95.63, 95.82, 95.99, 96.16, 96.29, 96.43, 96.53, 96.67, 96.97, 97.08, 97.19, 97.22, 97.42, 97.52] 2021-02-05 00:15:06.169: INFO @evaluate_confidence: Dropped ratios are: [20.2, 21.17, 21.9, 23.11, 23.86, 24.76, 25.72, 26.44, 27.32, 28.68, 29.43, 30.51, 31.56, 32.36, 33.39, 34.37, 35.35, 36.38, 37.43, 38.64, 39.89, 41.02, 42.17, 43.63, 45.36] 2021-02-05 00:15:06.171: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:15:06.171: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-05 00:15:06.171: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:15:06.171: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:15:06.255: INFO @evaluate_confidence: Previous accuracy would be: 43.55 2021-02-05 00:15:06.255: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:15:06.256: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.59, 57.97, 59.3, 60.56, 61.72, 62.4, 62.79, 63.2, 64.35, 64.87] 2021-02-05 00:15:06.256: INFO @evaluate_confidence: Dropped ratios are: [53.59, 56.72, 60.06, 63.05, 65.33, 67.24, 69.19, 71.3, 73.33, 74.86] 2021-02-05 00:15:06.266: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:15:06.632: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:15:06.689: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:15:06.955: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:15:07.119: INFO @decay_lr : LR updated to `9.377249e-05` 2021-02-05 00:15:07.120: INFO @log_profile : T train: 12.870277 2021-02-05 00:15:07.120: INFO @log_profile : T valid: 1.581895 2021-02-05 00:15:07.120: INFO @log_profile : T read data: 0.398857 2021-02-05 00:15:07.120: INFO @log_profile : T hooks: 4.530290 2021-02-05 00:15:07.120: INFO @main_loop : Epoch 232 done 2021-02-05 00:15:07.120: INFO @main_loop : Training epoch 233 2021-02-05 00:15:22.418: INFO @log_variables: train loss nanmean: 1.237449 2021-02-05 00:15:22.418: INFO @log_variables: train age_loss mean: 9.445254 2021-02-05 00:15:22.418: INFO @log_variables: train gender_loss mean: 0.276573 2021-02-05 00:15:22.418: INFO @log_variables: train age_mae mean: 8.866715 2021-02-05 00:15:22.418: INFO @log_variables: train gender_accuracy mean: 0.884259 2021-02-05 00:15:22.418: INFO @log_variables: train gender_confidence/loss nanmean: 0.069632 2021-02-05 00:15:22.418: INFO @log_variables: train gender_confidence/accuracy mean: 0.788339 2021-02-05 00:15:22.418: INFO @log_variables: train age_confidence/loss mean: 0.057727 2021-02-05 00:15:22.418: INFO @log_variables: train age_confidence/accuracy mean: 0.672020 2021-02-05 00:15:22.418: INFO @log_variables: valid loss nanmean: 1.228637 2021-02-05 00:15:22.418: INFO @log_variables: valid age_loss mean: 9.129283 2021-02-05 00:15:22.418: INFO @log_variables: valid gender_loss mean: 0.291583 2021-02-05 00:15:22.418: INFO @log_variables: valid age_mae mean: 8.542846 2021-02-05 00:15:22.418: INFO @log_variables: valid gender_accuracy mean: 0.877572 2021-02-05 00:15:22.419: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071972 2021-02-05 00:15:22.419: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838184 2021-02-05 00:15:22.419: INFO @log_variables: valid age_confidence/loss mean: 0.061654 2021-02-05 00:15:22.419: INFO @log_variables: valid age_confidence/accuracy mean: 0.631209 2021-02-05 00:15:22.419: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:15:22.420: INFO @metrics_hook: train age_mae: 8.867 +-0.151 (13824) 2021-02-05 00:15:22.422: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13824) 2021-02-05 00:15:23.852: INFO @metrics_hook: valid age_mae: 8.543 +-0.269 (3986) 2021-02-05 00:15:23.853: INFO @metrics_hook: valid gender_accuracy: 0.878 +-0.010 (3986) 2021-02-05 00:15:25.194: INFO @decay_lr : LR updated to `9.330363e-05` 2021-02-05 00:15:25.195: INFO @log_profile : T train: 12.759019 2021-02-05 00:15:25.196: INFO @log_profile : T valid: 1.517533 2021-02-05 00:15:25.196: INFO @log_profile : T read data: 0.401823 2021-02-05 00:15:25.196: INFO @log_profile : T hooks: 3.349446 2021-02-05 00:15:25.196: INFO @main_loop : Epoch 233 done 2021-02-05 00:15:25.196: INFO @main_loop : Training epoch 234 2021-02-05 00:15:40.943: INFO @log_variables: train loss nanmean: 1.222978 2021-02-05 00:15:40.943: INFO @log_variables: train age_loss mean: 9.267914 2021-02-05 00:15:40.943: INFO @log_variables: train gender_loss mean: 0.278945 2021-02-05 00:15:40.944: INFO @log_variables: train age_mae mean: 8.694821 2021-02-05 00:15:40.944: INFO @log_variables: train gender_accuracy mean: 0.882298 2021-02-05 00:15:40.944: INFO @log_variables: train gender_confidence/loss nanmean: 0.068942 2021-02-05 00:15:40.944: INFO @log_variables: train gender_confidence/accuracy mean: 0.782558 2021-02-05 00:15:40.944: INFO @log_variables: train age_confidence/loss mean: 0.057913 2021-02-05 00:15:40.944: INFO @log_variables: train age_confidence/accuracy mean: 0.666377 2021-02-05 00:15:40.944: INFO @log_variables: valid loss nanmean: 1.241906 2021-02-05 00:15:40.944: INFO @log_variables: valid age_loss mean: 9.236262 2021-02-05 00:15:40.944: INFO @log_variables: valid gender_loss mean: 0.292232 2021-02-05 00:15:40.944: INFO @log_variables: valid age_mae mean: 8.647324 2021-02-05 00:15:40.944: INFO @log_variables: valid gender_accuracy mean: 0.881836 2021-02-05 00:15:40.944: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074284 2021-02-05 00:15:40.944: INFO @log_variables: valid gender_confidence/accuracy mean: 0.827898 2021-02-05 00:15:40.944: INFO @log_variables: valid age_confidence/loss mean: 0.062296 2021-02-05 00:15:40.944: INFO @log_variables: valid age_confidence/accuracy mean: 0.639739 2021-02-05 00:15:40.944: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:15:40.946: INFO @metrics_hook: train age_mae: 8.695 +-0.149 (13806) 2021-02-05 00:15:40.948: INFO @metrics_hook: train gender_accuracy: 0.882 +-0.005 (13806) 2021-02-05 00:15:42.338: INFO @metrics_hook: valid age_mae: 8.647 +-0.275 (3986) 2021-02-05 00:15:42.339: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:15:43.548: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:15:43.549: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:15:43.549: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:15:43.549: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:15:43.626: INFO @evaluate_confidence: Previous accuracy would be: 88.23 2021-02-05 00:15:43.626: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:15:43.631: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.5, 93.68, 93.85, 94.03, 94.24, 94.47, 94.62, 94.8, 94.99, 95.15, 95.4, 95.57, 95.68, 95.86, 96.02, 96.16, 96.4, 96.52, 96.67, 96.8, 97.0, 97.11, 97.21, 97.37, 97.46, 97.5] 2021-02-05 00:15:43.631: INFO @evaluate_confidence: Dropped ratios are: [21.95, 23.03, 24.19, 25.28, 26.37, 27.52, 28.54, 29.6, 30.67, 31.75, 32.81, 33.93, 34.96, 35.97, 36.96, 37.95, 39.23, 40.44, 41.53, 42.56, 43.69, 44.81, 45.97, 47.07, 48.12, 49.22] 2021-02-05 00:15:43.637: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:15:43.637: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.22 2021-02-05 00:15:43.637: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:15:43.637: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:15:43.737: INFO @evaluate_confidence: Previous accuracy would be: 43.96 2021-02-05 00:15:43.737: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:15:43.741: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.07, 58.55, 59.6, 60.77, 61.93, 63.07, 64.2, 65.34, 66.34, 67.37, 68.22, 69.31, 70.49, 71.49, 72.3] 2021-02-05 00:15:43.741: INFO @evaluate_confidence: Dropped ratios are: [49.68, 52.59, 55.24, 57.72, 59.91, 62.3, 64.33, 66.29, 68.09, 69.56, 70.94, 72.5, 73.81, 75.05, 76.15] 2021-02-05 00:15:43.742: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:15:43.742: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:15:43.742: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:15:43.743: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:15:43.814: INFO @evaluate_confidence: Previous accuracy would be: 88.18 2021-02-05 00:15:43.814: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:15:43.816: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.21, 93.47, 93.8, 94.03, 94.19, 94.45, 94.62, 94.82, 94.94, 95.1, 95.39, 95.46, 95.62, 95.78, 96.06, 96.12, 96.33, 96.31, 96.45, 96.48, 96.66, 96.77, 96.92, 97.0, 97.09] 2021-02-05 00:15:43.816: INFO @evaluate_confidence: Dropped ratios are: [20.22, 21.25, 22.25, 23.08, 24.06, 24.96, 25.92, 26.82, 28.1, 28.8, 29.8, 30.93, 31.84, 32.81, 33.77, 34.62, 35.83, 36.78, 37.76, 38.74, 39.84, 40.99, 42.1, 43.15, 43.98] 2021-02-05 00:15:43.818: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:15:43.818: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:15:43.818: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:15:43.818: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:15:43.901: INFO @evaluate_confidence: Previous accuracy would be: 43.55 2021-02-05 00:15:43.901: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:15:43.902: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.61, 56.14, 57.18, 58.67, 59.67, 61.05, 61.69, 63.17, 63.76, 63.96] 2021-02-05 00:15:43.902: INFO @evaluate_confidence: Dropped ratios are: [51.46, 54.42, 57.35, 60.49, 63.05, 66.18, 68.77, 70.57, 72.65, 74.39] 2021-02-05 00:15:43.911: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:15:44.287: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:15:44.357: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:15:44.632: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:15:44.797: INFO @decay_lr : LR updated to `9.283711e-05` 2021-02-05 00:15:44.798: INFO @log_profile : T train: 13.002220 2021-02-05 00:15:44.798: INFO @log_profile : T valid: 1.577776 2021-02-05 00:15:44.798: INFO @log_profile : T read data: 0.525031 2021-02-05 00:15:44.798: INFO @log_profile : T hooks: 4.448460 2021-02-05 00:15:44.798: INFO @main_loop : Epoch 234 done 2021-02-05 00:15:44.798: INFO @main_loop : Training epoch 235 2021-02-05 00:16:00.472: INFO @log_variables: train loss nanmean: 1.218326 2021-02-05 00:16:00.472: INFO @log_variables: train age_loss mean: 9.182269 2021-02-05 00:16:00.472: INFO @log_variables: train gender_loss mean: 0.280133 2021-02-05 00:16:00.472: INFO @log_variables: train age_mae mean: 8.609998 2021-02-05 00:16:00.472: INFO @log_variables: train gender_accuracy mean: 0.883681 2021-02-05 00:16:00.472: INFO @log_variables: train gender_confidence/loss nanmean: 0.070244 2021-02-05 00:16:00.473: INFO @log_variables: train gender_confidence/accuracy mean: 0.781033 2021-02-05 00:16:00.473: INFO @log_variables: train age_confidence/loss mean: 0.058664 2021-02-05 00:16:00.473: INFO @log_variables: train age_confidence/accuracy mean: 0.664497 2021-02-05 00:16:00.473: INFO @log_variables: valid loss nanmean: 1.229165 2021-02-05 00:16:00.473: INFO @log_variables: valid age_loss mean: 9.211735 2021-02-05 00:16:00.473: INFO @log_variables: valid gender_loss mean: 0.281384 2021-02-05 00:16:00.473: INFO @log_variables: valid age_mae mean: 8.626667 2021-02-05 00:16:00.473: INFO @log_variables: valid gender_accuracy mean: 0.886101 2021-02-05 00:16:00.473: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073220 2021-02-05 00:16:00.473: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839940 2021-02-05 00:16:00.473: INFO @log_variables: valid age_confidence/loss mean: 0.062711 2021-02-05 00:16:00.473: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 00:16:00.473: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:16:00.475: INFO @metrics_hook: train age_mae: 8.610 +-0.149 (13824) 2021-02-05 00:16:00.477: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13824) 2021-02-05 00:16:01.925: INFO @metrics_hook: valid age_mae: 8.627 +-0.273 (3986) 2021-02-05 00:16:01.926: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:16:03.350: INFO @decay_lr : LR updated to `9.2372924e-05` 2021-02-05 00:16:03.351: INFO @log_profile : T train: 12.974113 2021-02-05 00:16:03.351: INFO @log_profile : T valid: 1.639260 2021-02-05 00:16:03.351: INFO @log_profile : T read data: 0.396704 2021-02-05 00:16:03.351: INFO @log_profile : T hooks: 3.493063 2021-02-05 00:16:03.351: INFO @main_loop : Epoch 235 done 2021-02-05 00:16:03.351: INFO @main_loop : Training epoch 236 2021-02-05 00:16:19.024: INFO @log_variables: train loss nanmean: 1.214610 2021-02-05 00:16:19.024: INFO @log_variables: train age_loss mean: 9.191967 2021-02-05 00:16:19.024: INFO @log_variables: train gender_loss mean: 0.276470 2021-02-05 00:16:19.024: INFO @log_variables: train age_mae mean: 8.621215 2021-02-05 00:16:19.024: INFO @log_variables: train gender_accuracy mean: 0.882885 2021-02-05 00:16:19.024: INFO @log_variables: train gender_confidence/loss nanmean: 0.069336 2021-02-05 00:16:19.024: INFO @log_variables: train gender_confidence/accuracy mean: 0.784722 2021-02-05 00:16:19.024: INFO @log_variables: train age_confidence/loss mean: 0.058304 2021-02-05 00:16:19.024: INFO @log_variables: train age_confidence/accuracy mean: 0.667101 2021-02-05 00:16:19.024: INFO @log_variables: valid loss nanmean: 1.240730 2021-02-05 00:16:19.024: INFO @log_variables: valid age_loss mean: 9.274886 2021-02-05 00:16:19.024: INFO @log_variables: valid gender_loss mean: 0.288651 2021-02-05 00:16:19.024: INFO @log_variables: valid age_mae mean: 8.684240 2021-02-05 00:16:19.024: INFO @log_variables: valid gender_accuracy mean: 0.882338 2021-02-05 00:16:19.024: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072728 2021-02-05 00:16:19.025: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837431 2021-02-05 00:16:19.025: INFO @log_variables: valid age_confidence/loss mean: 0.062421 2021-02-05 00:16:19.025: INFO @log_variables: valid age_confidence/accuracy mean: 0.648269 2021-02-05 00:16:19.025: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:16:19.026: INFO @metrics_hook: train age_mae: 8.621 +-0.148 (13824) 2021-02-05 00:16:19.028: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13824) 2021-02-05 00:16:20.408: INFO @metrics_hook: valid age_mae: 8.684 +-0.275 (3986) 2021-02-05 00:16:20.408: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:16:21.620: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:16:21.620: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:16:21.620: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:16:21.620: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:16:21.698: INFO @evaluate_confidence: Previous accuracy would be: 88.29 2021-02-05 00:16:21.698: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:16:21.703: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.58, 93.81, 94.04, 94.23, 94.41, 94.6, 94.78, 94.93, 95.04, 95.24, 95.39, 95.47, 95.66, 95.89, 96.02, 96.17, 96.24, 96.42, 96.65, 96.92, 97.02, 97.11, 97.3, 97.45, 97.53] 2021-02-05 00:16:21.703: INFO @evaluate_confidence: Dropped ratios are: [22.66, 23.81, 24.93, 25.89, 27.01, 28.19, 29.18, 30.22, 31.29, 32.46, 33.64, 34.56, 35.69, 36.85, 38.01, 39.05, 40.16, 41.2, 42.49, 43.64, 44.7, 45.65, 46.91, 48.0, 49.05] 2021-02-05 00:16:21.709: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:16:21.709: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:16:21.709: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:16:21.709: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:16:21.803: INFO @evaluate_confidence: Previous accuracy would be: 44.35 2021-02-05 00:16:21.803: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:16:21.806: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.88, 58.95, 60.48, 61.68, 62.6, 64.21, 65.39, 66.48, 67.81, 68.78, 70.08, 71.03, 71.88, 73.3] 2021-02-05 00:16:21.806: INFO @evaluate_confidence: Dropped ratios are: [50.54, 53.27, 56.15, 58.73, 61.0, 63.14, 65.2, 67.01, 68.97, 70.55, 72.08, 73.38, 74.56, 75.78] 2021-02-05 00:16:21.808: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:16:21.808: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:16:21.808: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:16:21.808: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:16:21.877: INFO @evaluate_confidence: Previous accuracy would be: 88.23 2021-02-05 00:16:21.878: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:16:21.879: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.45, 93.63, 93.85, 94.13, 94.43, 94.62, 94.82, 94.99, 95.27, 95.39, 95.54, 95.6, 95.78, 95.94, 96.02, 96.22, 96.39, 96.53, 96.59, 96.73, 97.01, 97.11, 97.15, 97.37, 97.39] 2021-02-05 00:16:21.879: INFO @evaluate_confidence: Dropped ratios are: [19.97, 20.85, 21.63, 22.58, 23.88, 24.86, 25.94, 26.87, 27.82, 28.7, 29.63, 30.51, 31.59, 32.64, 33.74, 34.87, 36.13, 37.1, 38.13, 39.39, 40.49, 41.77, 42.75, 43.8, 45.16] 2021-02-05 00:16:21.881: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:16:21.881: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:16:21.881: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:16:21.881: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:16:21.963: INFO @evaluate_confidence: Previous accuracy would be: 42.62 2021-02-05 00:16:21.964: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:16:21.965: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.63, 54.76, 56.41, 57.39, 58.56, 59.7, 60.98, 62.46, 63.69, 64.2] 2021-02-05 00:16:21.965: INFO @evaluate_confidence: Dropped ratios are: [50.93, 55.24, 58.68, 61.49, 64.22, 66.26, 68.82, 71.0, 72.78, 74.56] 2021-02-05 00:16:21.974: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:16:22.326: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:16:22.380: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:16:22.635: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:16:22.788: INFO @decay_lr : LR updated to `9.191106e-05` 2021-02-05 00:16:22.789: INFO @log_profile : T train: 13.006153 2021-02-05 00:16:22.789: INFO @log_profile : T valid: 1.619395 2021-02-05 00:16:22.789: INFO @log_profile : T read data: 0.402873 2021-02-05 00:16:22.789: INFO @log_profile : T hooks: 4.360617 2021-02-05 00:16:22.789: INFO @main_loop : Epoch 236 done 2021-02-05 00:16:22.789: INFO @main_loop : Training epoch 237 2021-02-05 00:16:37.851: INFO @log_variables: train loss nanmean: 1.209396 2021-02-05 00:16:37.851: INFO @log_variables: train age_loss mean: 9.101206 2021-02-05 00:16:37.851: INFO @log_variables: train gender_loss mean: 0.279483 2021-02-05 00:16:37.851: INFO @log_variables: train age_mae mean: 8.533630 2021-02-05 00:16:37.851: INFO @log_variables: train gender_accuracy mean: 0.880858 2021-02-05 00:16:37.851: INFO @log_variables: train gender_confidence/loss nanmean: 0.069627 2021-02-05 00:16:37.851: INFO @log_variables: train gender_confidence/accuracy mean: 0.784892 2021-02-05 00:16:37.851: INFO @log_variables: train age_confidence/loss mean: 0.058311 2021-02-05 00:16:37.851: INFO @log_variables: train age_confidence/accuracy mean: 0.666474 2021-02-05 00:16:37.851: INFO @log_variables: valid loss nanmean: 1.221036 2021-02-05 00:16:37.851: INFO @log_variables: valid age_loss mean: 9.103212 2021-02-05 00:16:37.851: INFO @log_variables: valid gender_loss mean: 0.286939 2021-02-05 00:16:37.851: INFO @log_variables: valid age_mae mean: 8.520570 2021-02-05 00:16:37.851: INFO @log_variables: valid gender_accuracy mean: 0.878575 2021-02-05 00:16:37.851: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070430 2021-02-05 00:16:37.852: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840191 2021-02-05 00:16:37.852: INFO @log_variables: valid age_confidence/loss mean: 0.062188 2021-02-05 00:16:37.852: INFO @log_variables: valid age_confidence/accuracy mean: 0.639990 2021-02-05 00:16:37.852: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:16:37.853: INFO @metrics_hook: train age_mae: 8.534 +-0.147 (13807) 2021-02-05 00:16:37.855: INFO @metrics_hook: train gender_accuracy: 0.881 +-0.006 (13807) 2021-02-05 00:16:39.250: INFO @metrics_hook: valid age_mae: 8.521 +-0.267 (3986) 2021-02-05 00:16:39.250: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-05 00:16:40.563: INFO @decay_lr : LR updated to `9.1451504e-05` 2021-02-05 00:16:40.564: INFO @log_profile : T train: 12.494468 2021-02-05 00:16:40.564: INFO @log_profile : T valid: 1.428411 2021-02-05 00:16:40.564: INFO @log_profile : T read data: 0.500164 2021-02-05 00:16:40.564: INFO @log_profile : T hooks: 3.305518 2021-02-05 00:16:40.564: INFO @main_loop : Epoch 237 done 2021-02-05 00:16:40.564: INFO @main_loop : Training epoch 238 2021-02-05 00:16:56.159: INFO @log_variables: train loss nanmean: 1.235119 2021-02-05 00:16:56.160: INFO @log_variables: train age_loss mean: 9.356125 2021-02-05 00:16:56.160: INFO @log_variables: train gender_loss mean: 0.283713 2021-02-05 00:16:56.160: INFO @log_variables: train age_mae mean: 8.782859 2021-02-05 00:16:56.160: INFO @log_variables: train gender_accuracy mean: 0.878111 2021-02-05 00:16:56.160: INFO @log_variables: train gender_confidence/loss nanmean: 0.068767 2021-02-05 00:16:56.160: INFO @log_variables: train gender_confidence/accuracy mean: 0.777995 2021-02-05 00:16:56.160: INFO @log_variables: train age_confidence/loss mean: 0.057873 2021-02-05 00:16:56.160: INFO @log_variables: train age_confidence/accuracy mean: 0.668909 2021-02-05 00:16:56.160: INFO @log_variables: valid loss nanmean: 1.229855 2021-02-05 00:16:56.160: INFO @log_variables: valid age_loss mean: 9.166581 2021-02-05 00:16:56.160: INFO @log_variables: valid gender_loss mean: 0.289109 2021-02-05 00:16:56.160: INFO @log_variables: valid age_mae mean: 8.580916 2021-02-05 00:16:56.160: INFO @log_variables: valid gender_accuracy mean: 0.880331 2021-02-05 00:16:56.160: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072889 2021-02-05 00:16:56.160: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836678 2021-02-05 00:16:56.160: INFO @log_variables: valid age_confidence/loss mean: 0.060814 2021-02-05 00:16:56.160: INFO @log_variables: valid age_confidence/accuracy mean: 0.637230 2021-02-05 00:16:56.160: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:16:56.162: INFO @metrics_hook: train age_mae: 8.783 +-0.149 (13824) 2021-02-05 00:16:56.163: INFO @metrics_hook: train gender_accuracy: 0.878 +-0.006 (13824) 2021-02-05 00:16:57.548: INFO @metrics_hook: valid age_mae: 8.581 +-0.268 (3986) 2021-02-05 00:16:57.548: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:16:58.765: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:16:58.765: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:16:58.765: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.17 2021-02-05 00:16:58.766: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:16:58.842: INFO @evaluate_confidence: Previous accuracy would be: 87.81 2021-02-05 00:16:58.842: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:16:58.847: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [92.88, 93.13, 93.44, 93.67, 93.87, 94.13, 94.41, 94.68, 94.89, 95.02, 95.14, 95.31, 95.51, 95.69, 95.88, 96.06, 96.28, 96.51, 96.6, 96.78, 96.98, 97.16, 97.34, 97.53, 97.64] 2021-02-05 00:16:58.847: INFO @evaluate_confidence: Dropped ratios are: [22.74, 23.94, 25.2, 26.25, 27.34, 28.45, 29.71, 30.81, 31.87, 32.93, 34.06, 35.2, 36.23, 37.28, 38.52, 39.72, 40.73, 41.95, 42.95, 44.09, 45.1, 46.33, 47.42, 48.53, 49.78] 2021-02-05 00:16:58.853: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:16:58.853: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.21 2021-02-05 00:16:58.853: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:16:58.853: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:16:58.945: INFO @evaluate_confidence: Previous accuracy would be: 43.01 2021-02-05 00:16:58.946: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:16:58.949: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.3, 57.65, 59.05, 60.17, 61.22, 62.21, 62.92, 64.06, 65.45, 66.47, 67.42, 68.33, 68.93] 2021-02-05 00:16:58.949: INFO @evaluate_confidence: Dropped ratios are: [49.91, 52.74, 55.62, 58.16, 60.43, 62.88, 64.73, 66.71, 68.6, 70.23, 71.6, 72.93, 74.27] 2021-02-05 00:16:58.951: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:16:58.951: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:16:58.951: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:16:58.951: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:16:59.021: INFO @evaluate_confidence: Previous accuracy would be: 88.03 2021-02-05 00:16:59.022: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:16:59.023: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.36, 93.46, 93.77, 94.14, 94.33, 94.66, 94.86, 95.17, 95.28, 95.47, 95.6, 95.73, 95.98, 96.14, 96.34, 96.5, 96.69, 96.77, 96.91, 96.94, 96.97, 97.17, 97.37, 97.46, 97.46] 2021-02-05 00:16:59.023: INFO @evaluate_confidence: Dropped ratios are: [20.62, 21.32, 22.23, 23.41, 24.34, 25.26, 26.24, 27.27, 28.25, 29.15, 30.41, 31.81, 32.61, 33.74, 34.85, 36.18, 37.0, 37.96, 39.19, 40.09, 41.14, 42.35, 43.63, 44.58, 45.66] 2021-02-05 00:16:59.025: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:16:59.025: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.18 2021-02-05 00:16:59.025: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:16:59.025: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.15 2021-02-05 00:16:59.107: INFO @evaluate_confidence: Previous accuracy would be: 42.80 2021-02-05 00:16:59.107: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:16:59.108: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.47, 55.72, 56.29, 57.75, 58.63, 58.96, 59.97, 60.4, 61.91, 62.2] 2021-02-05 00:16:59.108: INFO @evaluate_confidence: Dropped ratios are: [49.25, 53.26, 56.1, 59.21, 62.22, 64.85, 67.03, 68.89, 71.15, 73.06] 2021-02-05 00:16:59.117: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:16:59.473: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:16:59.531: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:16:59.791: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:16:59.940: INFO @decay_lr : LR updated to `9.099425e-05` 2021-02-05 00:16:59.941: INFO @log_profile : T train: 12.980401 2021-02-05 00:16:59.941: INFO @log_profile : T valid: 1.586232 2021-02-05 00:16:59.941: INFO @log_profile : T read data: 0.394087 2021-02-05 00:16:59.941: INFO @log_profile : T hooks: 4.368121 2021-02-05 00:16:59.942: INFO @main_loop : Epoch 238 done 2021-02-05 00:16:59.942: INFO @main_loop : Training epoch 239 2021-02-05 00:17:15.382: INFO @log_variables: train loss nanmean: 1.219769 2021-02-05 00:17:15.383: INFO @log_variables: train age_loss mean: 9.210649 2021-02-05 00:17:15.383: INFO @log_variables: train gender_loss mean: 0.281296 2021-02-05 00:17:15.383: INFO @log_variables: train age_mae mean: 8.640288 2021-02-05 00:17:15.383: INFO @log_variables: train gender_accuracy mean: 0.879196 2021-02-05 00:17:15.383: INFO @log_variables: train gender_confidence/loss nanmean: 0.068677 2021-02-05 00:17:15.383: INFO @log_variables: train gender_confidence/accuracy mean: 0.778863 2021-02-05 00:17:15.383: INFO @log_variables: train age_confidence/loss mean: 0.058037 2021-02-05 00:17:15.383: INFO @log_variables: train age_confidence/accuracy mean: 0.664786 2021-02-05 00:17:15.383: INFO @log_variables: valid loss nanmean: 1.228734 2021-02-05 00:17:15.383: INFO @log_variables: valid age_loss mean: 9.175123 2021-02-05 00:17:15.383: INFO @log_variables: valid gender_loss mean: 0.286608 2021-02-05 00:17:15.383: INFO @log_variables: valid age_mae mean: 8.586436 2021-02-05 00:17:15.383: INFO @log_variables: valid gender_accuracy mean: 0.885850 2021-02-05 00:17:15.383: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072581 2021-02-05 00:17:15.383: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840943 2021-02-05 00:17:15.383: INFO @log_variables: valid age_confidence/loss mean: 0.061498 2021-02-05 00:17:15.383: INFO @log_variables: valid age_confidence/accuracy mean: 0.631209 2021-02-05 00:17:15.384: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:17:15.385: INFO @metrics_hook: train age_mae: 8.640 +-0.146 (13824) 2021-02-05 00:17:15.387: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:17:16.771: INFO @metrics_hook: valid age_mae: 8.586 +-0.271 (3986) 2021-02-05 00:17:16.772: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:17:18.079: INFO @decay_lr : LR updated to `9.053927e-05` 2021-02-05 00:17:18.080: INFO @log_profile : T train: 12.784192 2021-02-05 00:17:18.080: INFO @log_profile : T valid: 1.619323 2021-02-05 00:17:18.080: INFO @log_profile : T read data: 0.393700 2021-02-05 00:17:18.080: INFO @log_profile : T hooks: 3.293185 2021-02-05 00:17:18.080: INFO @main_loop : Epoch 239 done 2021-02-05 00:17:18.080: INFO @main_loop : Training epoch 240 2021-02-05 00:17:33.844: INFO @log_variables: train loss nanmean: 1.204733 2021-02-05 00:17:33.844: INFO @log_variables: train age_loss mean: 9.035112 2021-02-05 00:17:33.844: INFO @log_variables: train gender_loss mean: 0.281694 2021-02-05 00:17:33.844: INFO @log_variables: train age_mae mean: 8.466380 2021-02-05 00:17:33.844: INFO @log_variables: train gender_accuracy mean: 0.879337 2021-02-05 00:17:33.844: INFO @log_variables: train gender_confidence/loss nanmean: 0.068940 2021-02-05 00:17:33.844: INFO @log_variables: train gender_confidence/accuracy mean: 0.777504 2021-02-05 00:17:33.844: INFO @log_variables: train age_confidence/loss mean: 0.058334 2021-02-05 00:17:33.844: INFO @log_variables: train age_confidence/accuracy mean: 0.663142 2021-02-05 00:17:33.844: INFO @log_variables: valid loss nanmean: 1.233005 2021-02-05 00:17:33.844: INFO @log_variables: valid age_loss mean: 9.230228 2021-02-05 00:17:33.844: INFO @log_variables: valid gender_loss mean: 0.285715 2021-02-05 00:17:33.844: INFO @log_variables: valid age_mae mean: 8.642949 2021-02-05 00:17:33.844: INFO @log_variables: valid gender_accuracy mean: 0.882589 2021-02-05 00:17:33.844: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071559 2021-02-05 00:17:33.844: INFO @log_variables: valid gender_confidence/accuracy mean: 0.834420 2021-02-05 00:17:33.845: INFO @log_variables: valid age_confidence/loss mean: 0.062594 2021-02-05 00:17:33.845: INFO @log_variables: valid age_confidence/accuracy mean: 0.633216 2021-02-05 00:17:33.845: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:17:33.846: INFO @metrics_hook: train age_mae: 8.466 +-0.146 (13807) 2021-02-05 00:17:33.848: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13807) 2021-02-05 00:17:35.258: INFO @metrics_hook: valid age_mae: 8.643 +-0.272 (3986) 2021-02-05 00:17:35.258: INFO @metrics_hook: valid gender_accuracy: 0.883 +-0.010 (3986) 2021-02-05 00:17:36.485: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:17:36.485: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:17:36.486: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:17:36.486: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:17:36.563: INFO @evaluate_confidence: Previous accuracy would be: 87.93 2021-02-05 00:17:36.563: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:17:36.568: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.27, 93.47, 93.75, 93.95, 94.19, 94.48, 94.6, 94.74, 94.93, 95.1, 95.41, 95.57, 95.71, 95.87, 96.02, 96.21, 96.41, 96.64, 96.76, 96.88, 97.03, 97.08, 97.2, 97.36, 97.44, 97.61] 2021-02-05 00:17:36.568: INFO @evaluate_confidence: Dropped ratios are: [22.73, 23.86, 24.93, 25.99, 27.16, 28.2, 29.2, 30.09, 31.22, 32.24, 33.35, 34.43, 35.61, 36.63, 37.69, 38.9, 39.92, 40.95, 41.94, 43.09, 44.08, 45.12, 46.02, 47.1, 48.04, 49.13] 2021-02-05 00:17:36.574: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:17:36.574: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:17:36.574: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:17:36.574: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:17:36.665: INFO @evaluate_confidence: Previous accuracy would be: 44.88 2021-02-05 00:17:36.665: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:17:36.668: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.84, 59.78, 61.04, 62.07, 63.08, 64.04, 65.13, 66.27, 67.25, 68.3, 69.23, 70.39, 71.55, 72.84] 2021-02-05 00:17:36.669: INFO @evaluate_confidence: Dropped ratios are: [49.58, 52.22, 54.89, 57.28, 59.63, 61.79, 63.88, 65.77, 67.55, 69.43, 70.76, 72.22, 73.57, 74.96] 2021-02-05 00:17:36.670: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:17:36.670: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:17:36.670: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:17:36.670: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:17:36.741: INFO @evaluate_confidence: Previous accuracy would be: 88.26 2021-02-05 00:17:36.741: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:17:36.743: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.66, 93.77, 94.03, 94.49, 94.8, 94.94, 95.12, 95.37, 95.37, 95.52, 95.67, 95.82, 95.98, 96.0, 96.21, 96.41, 96.59, 96.81, 96.88, 97.12, 97.24, 97.35, 97.4, 97.42, 97.54] 2021-02-05 00:17:36.743: INFO @evaluate_confidence: Dropped ratios are: [20.12, 21.07, 21.9, 23.11, 24.31, 25.19, 25.99, 26.92, 27.9, 28.93, 29.88, 30.98, 31.99, 32.81, 33.84, 35.02, 36.08, 37.08, 38.01, 39.09, 40.09, 41.19, 42.12, 43.65, 44.83] 2021-02-05 00:17:36.745: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:17:36.745: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:17:36.745: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:17:36.745: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:17:36.825: INFO @evaluate_confidence: Previous accuracy would be: 43.80 2021-02-05 00:17:36.826: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:17:36.827: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.63, 55.68, 56.83, 58.15, 59.49, 60.38, 61.45, 62.23, 63.03, 63.98] 2021-02-05 00:17:36.827: INFO @evaluate_confidence: Dropped ratios are: [50.4, 53.41, 57.0, 59.96, 62.97, 65.81, 68.24, 70.25, 72.65, 74.44] 2021-02-05 00:17:36.836: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:17:37.195: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:17:37.254: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:17:37.512: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:17:37.572: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:17:37.943: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:17:38.003: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:17:38.003: INFO @evaluate_gender-age_model: groups 0 5.610767 1 8.852024 2 9.078395 3 8.241727 4 8.881608 5 9.386779 6 9.340667 7 8.012658 Name: errors, dtype: float64 2021-02-05 00:17:38.004: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:17:38.259: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:17:38.315: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:17:38.316: INFO @evaluate_gender-age_model: groups 0 6.570337 1 8.356872 2 8.371097 3 7.506870 4 9.060749 5 9.731229 6 9.881740 7 9.081231 Name: errors, dtype: float64 2021-02-05 00:17:38.410: INFO @decay_lr : LR updated to `9.008658e-05` 2021-02-05 00:17:38.411: INFO @log_profile : T train: 12.426114 2021-02-05 00:17:38.411: INFO @log_profile : T valid: 1.575177 2021-02-05 00:17:38.411: INFO @log_profile : T read data: 0.510307 2021-02-05 00:17:38.411: INFO @log_profile : T hooks: 5.772388 2021-02-05 00:17:38.411: INFO @main_loop : Epoch 240 done 2021-02-05 00:17:38.411: INFO @main_loop : Training epoch 241 2021-02-05 00:17:54.221: INFO @log_variables: train loss nanmean: 1.218216 2021-02-05 00:17:54.222: INFO @log_variables: train age_loss mean: 9.203367 2021-02-05 00:17:54.222: INFO @log_variables: train gender_loss mean: 0.280302 2021-02-05 00:17:54.222: INFO @log_variables: train age_mae mean: 8.629707 2021-02-05 00:17:54.222: INFO @log_variables: train gender_accuracy mean: 0.877676 2021-02-05 00:17:54.222: INFO @log_variables: train gender_confidence/loss nanmean: 0.068388 2021-02-05 00:17:54.222: INFO @log_variables: train gender_confidence/accuracy mean: 0.781612 2021-02-05 00:17:54.222: INFO @log_variables: train age_confidence/loss mean: 0.058338 2021-02-05 00:17:54.222: INFO @log_variables: train age_confidence/accuracy mean: 0.661458 2021-02-05 00:17:54.222: INFO @log_variables: valid loss nanmean: 1.235111 2021-02-05 00:17:54.222: INFO @log_variables: valid age_loss mean: 9.199241 2021-02-05 00:17:54.222: INFO @log_variables: valid gender_loss mean: 0.289085 2021-02-05 00:17:54.222: INFO @log_variables: valid age_mae mean: 8.610802 2021-02-05 00:17:54.222: INFO @log_variables: valid gender_accuracy mean: 0.880582 2021-02-05 00:17:54.222: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074104 2021-02-05 00:17:54.222: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838685 2021-02-05 00:17:54.222: INFO @log_variables: valid age_confidence/loss mean: 0.061908 2021-02-05 00:17:54.222: INFO @log_variables: valid age_confidence/accuracy mean: 0.627195 2021-02-05 00:17:54.223: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:17:54.224: INFO @metrics_hook: train age_mae: 8.630 +-0.147 (13824) 2021-02-05 00:17:54.226: INFO @metrics_hook: train gender_accuracy: 0.878 +-0.006 (13824) 2021-02-05 00:17:55.670: INFO @metrics_hook: valid age_mae: 8.611 +-0.272 (3986) 2021-02-05 00:17:55.670: INFO @metrics_hook: valid gender_accuracy: 0.881 +-0.010 (3986) 2021-02-05 00:17:57.001: INFO @decay_lr : LR updated to `8.9636145e-05` 2021-02-05 00:17:57.002: INFO @log_profile : T train: 13.072587 2021-02-05 00:17:57.002: INFO @log_profile : T valid: 1.670198 2021-02-05 00:17:57.002: INFO @log_profile : T read data: 0.400266 2021-02-05 00:17:57.002: INFO @log_profile : T hooks: 3.397167 2021-02-05 00:17:57.002: INFO @main_loop : Epoch 241 done 2021-02-05 00:17:57.002: INFO @main_loop : Training epoch 242 2021-02-05 00:18:11.935: INFO @log_variables: train loss nanmean: 1.212889 2021-02-05 00:18:11.935: INFO @log_variables: train age_loss mean: 9.171146 2021-02-05 00:18:11.935: INFO @log_variables: train gender_loss mean: 0.276790 2021-02-05 00:18:11.935: INFO @log_variables: train age_mae mean: 8.600858 2021-02-05 00:18:11.935: INFO @log_variables: train gender_accuracy mean: 0.881655 2021-02-05 00:18:11.935: INFO @log_variables: train gender_confidence/loss nanmean: 0.068765 2021-02-05 00:18:11.935: INFO @log_variables: train gender_confidence/accuracy mean: 0.785301 2021-02-05 00:18:11.935: INFO @log_variables: train age_confidence/loss mean: 0.058756 2021-02-05 00:18:11.935: INFO @log_variables: train age_confidence/accuracy mean: 0.662326 2021-02-05 00:18:11.935: INFO @log_variables: valid loss nanmean: 1.251547 2021-02-05 00:18:11.935: INFO @log_variables: valid age_loss mean: 9.317387 2021-02-05 00:18:11.935: INFO @log_variables: valid gender_loss mean: 0.295324 2021-02-05 00:18:11.935: INFO @log_variables: valid age_mae mean: 8.731360 2021-02-05 00:18:11.935: INFO @log_variables: valid gender_accuracy mean: 0.879579 2021-02-05 00:18:11.936: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074627 2021-02-05 00:18:11.936: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839940 2021-02-05 00:18:11.936: INFO @log_variables: valid age_confidence/loss mean: 0.061408 2021-02-05 00:18:11.936: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-05 00:18:11.936: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:18:11.937: INFO @metrics_hook: train age_mae: 8.601 +-0.149 (13824) 2021-02-05 00:18:11.939: INFO @metrics_hook: train gender_accuracy: 0.882 +-0.005 (13824) 2021-02-05 00:18:13.368: INFO @metrics_hook: valid age_mae: 8.731 +-0.272 (3986) 2021-02-05 00:18:13.369: INFO @metrics_hook: valid gender_accuracy: 0.880 +-0.010 (3986) 2021-02-05 00:18:14.632: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:18:14.632: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:18:14.632: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:18:14.632: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:18:14.705: INFO @evaluate_confidence: Previous accuracy would be: 88.17 2021-02-05 00:18:14.705: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:18:14.710: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.34, 93.64, 93.84, 94.01, 94.26, 94.54, 94.7, 94.82, 94.94, 95.07, 95.2, 95.41, 95.64, 95.77, 95.92, 96.12, 96.26, 96.37, 96.51, 96.62, 96.71, 96.88, 97.03, 97.23, 97.3, 97.43, 97.55] 2021-02-05 00:18:14.710: INFO @evaluate_confidence: Dropped ratios are: [21.66, 22.93, 23.93, 25.01, 26.15, 27.25, 28.39, 29.39, 30.55, 31.63, 32.7, 33.83, 35.03, 36.0, 37.12, 38.27, 39.2, 40.23, 41.38, 42.42, 43.43, 44.6, 45.85, 47.02, 48.21, 49.27, 50.43] 2021-02-05 00:18:14.716: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:18:14.717: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:18:14.717: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:18:14.717: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:18:14.813: INFO @evaluate_confidence: Previous accuracy would be: 44.99 2021-02-05 00:18:14.813: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:18:14.818: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.34, 59.64, 60.93, 62.1, 63.19, 64.69, 65.61, 66.58, 67.48, 68.62, 69.77, 70.96, 72.27, 73.35] 2021-02-05 00:18:14.818: INFO @evaluate_confidence: Dropped ratios are: [49.62, 52.74, 55.35, 57.9, 60.23, 62.47, 64.41, 66.15, 68.06, 69.87, 71.4, 73.0, 74.46, 75.71] 2021-02-05 00:18:14.820: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:18:14.820: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:18:14.820: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:18:14.820: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:18:14.897: INFO @evaluate_confidence: Previous accuracy would be: 87.96 2021-02-05 00:18:14.898: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:18:14.899: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.1, 93.35, 93.63, 93.77, 93.95, 94.17, 94.27, 94.47, 94.68, 94.84, 94.99, 95.06, 95.29, 95.52, 95.6, 95.93, 96.05, 96.19, 96.25, 96.38, 96.6, 96.75, 96.9, 96.97, 97.09] 2021-02-05 00:18:14.899: INFO @evaluate_confidence: Dropped ratios are: [19.97, 21.15, 21.98, 23.13, 24.08, 25.06, 26.07, 27.02, 27.87, 29.05, 29.95, 30.96, 31.89, 32.81, 33.89, 34.7, 35.8, 36.85, 37.81, 38.99, 40.19, 41.24, 42.62, 43.68, 44.88] 2021-02-05 00:18:14.901: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:18:14.901: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:18:14.901: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:18:14.901: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.15 2021-02-05 00:18:14.989: INFO @evaluate_confidence: Previous accuracy would be: 42.50 2021-02-05 00:18:14.989: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:18:14.990: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [52.91, 54.08, 55.48, 56.03, 57.24, 58.07, 58.89, 60.1, 61.42] 2021-02-05 00:18:14.990: INFO @evaluate_confidence: Dropped ratios are: [50.5, 54.77, 57.23, 60.24, 62.92, 65.48, 67.96, 70.57, 72.43] 2021-02-05 00:18:14.999: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:18:15.382: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:18:15.447: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:18:15.731: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:18:15.892: INFO @decay_lr : LR updated to `8.918797e-05` 2021-02-05 00:18:15.893: INFO @log_profile : T train: 12.421556 2021-02-05 00:18:15.893: INFO @log_profile : T valid: 1.481090 2021-02-05 00:18:15.893: INFO @log_profile : T read data: 0.396509 2021-02-05 00:18:15.893: INFO @log_profile : T hooks: 4.546732 2021-02-05 00:18:15.893: INFO @main_loop : Epoch 242 done 2021-02-05 00:18:15.893: INFO @main_loop : Training epoch 243 2021-02-05 00:18:31.527: INFO @log_variables: train loss nanmean: 1.198586 2021-02-05 00:18:31.527: INFO @log_variables: train age_loss mean: 9.021852 2021-02-05 00:18:31.527: INFO @log_variables: train gender_loss mean: 0.276200 2021-02-05 00:18:31.527: INFO @log_variables: train age_mae mean: 8.454212 2021-02-05 00:18:31.527: INFO @log_variables: train gender_accuracy mean: 0.884044 2021-02-05 00:18:31.527: INFO @log_variables: train gender_confidence/loss nanmean: 0.068979 2021-02-05 00:18:31.527: INFO @log_variables: train gender_confidence/accuracy mean: 0.778301 2021-02-05 00:18:31.527: INFO @log_variables: train age_confidence/loss mean: 0.058348 2021-02-05 00:18:31.527: INFO @log_variables: train age_confidence/accuracy mean: 0.668864 2021-02-05 00:18:31.527: INFO @log_variables: valid loss nanmean: 1.242786 2021-02-05 00:18:31.527: INFO @log_variables: valid age_loss mean: 9.253160 2021-02-05 00:18:31.527: INFO @log_variables: valid gender_loss mean: 0.288150 2021-02-05 00:18:31.528: INFO @log_variables: valid age_mae mean: 8.665942 2021-02-05 00:18:31.528: INFO @log_variables: valid gender_accuracy mean: 0.884094 2021-02-05 00:18:31.528: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076962 2021-02-05 00:18:31.528: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849222 2021-02-05 00:18:31.528: INFO @log_variables: valid age_confidence/loss mean: 0.062673 2021-02-05 00:18:31.528: INFO @log_variables: valid age_confidence/accuracy mean: 0.619669 2021-02-05 00:18:31.528: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:18:31.530: INFO @metrics_hook: train age_mae: 8.454 +-0.143 (13807) 2021-02-05 00:18:31.531: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13807) 2021-02-05 00:18:32.960: INFO @metrics_hook: valid age_mae: 8.666 +-0.277 (3986) 2021-02-05 00:18:32.961: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:18:34.343: INFO @decay_lr : LR updated to `8.8742025e-05` 2021-02-05 00:18:34.344: INFO @log_profile : T train: 12.870134 2021-02-05 00:18:34.344: INFO @log_profile : T valid: 1.620486 2021-02-05 00:18:34.344: INFO @log_profile : T read data: 0.488141 2021-02-05 00:18:34.344: INFO @log_profile : T hooks: 3.423100 2021-02-05 00:18:34.344: INFO @main_loop : Epoch 243 done 2021-02-05 00:18:34.344: INFO @main_loop : Training epoch 244 2021-02-05 00:18:49.945: INFO @log_variables: train loss nanmean: 1.217048 2021-02-05 00:18:49.946: INFO @log_variables: train age_loss mean: 9.151141 2021-02-05 00:18:49.946: INFO @log_variables: train gender_loss mean: 0.282088 2021-02-05 00:18:49.946: INFO @log_variables: train age_mae mean: 8.580613 2021-02-05 00:18:49.946: INFO @log_variables: train gender_accuracy mean: 0.882161 2021-02-05 00:18:49.946: INFO @log_variables: train gender_confidence/loss nanmean: 0.070545 2021-02-05 00:18:49.946: INFO @log_variables: train gender_confidence/accuracy mean: 0.782552 2021-02-05 00:18:49.946: INFO @log_variables: train age_confidence/loss mean: 0.058137 2021-02-05 00:18:49.946: INFO @log_variables: train age_confidence/accuracy mean: 0.670790 2021-02-05 00:18:49.946: INFO @log_variables: valid loss nanmean: 1.222407 2021-02-05 00:18:49.946: INFO @log_variables: valid age_loss mean: 9.156977 2021-02-05 00:18:49.946: INFO @log_variables: valid gender_loss mean: 0.280592 2021-02-05 00:18:49.946: INFO @log_variables: valid age_mae mean: 8.572820 2021-02-05 00:18:49.946: INFO @log_variables: valid gender_accuracy mean: 0.886854 2021-02-05 00:18:49.946: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073896 2021-02-05 00:18:49.946: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844957 2021-02-05 00:18:49.946: INFO @log_variables: valid age_confidence/loss mean: 0.060974 2021-02-05 00:18:49.946: INFO @log_variables: valid age_confidence/accuracy mean: 0.640241 2021-02-05 00:18:49.946: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:18:49.948: INFO @metrics_hook: train age_mae: 8.581 +-0.147 (13824) 2021-02-05 00:18:49.950: INFO @metrics_hook: train gender_accuracy: 0.882 +-0.005 (13824) 2021-02-05 00:18:51.379: INFO @metrics_hook: valid age_mae: 8.573 +-0.271 (3986) 2021-02-05 00:18:51.380: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:18:52.645: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:18:52.645: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:18:52.645: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:18:52.645: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:18:52.721: INFO @evaluate_confidence: Previous accuracy would be: 88.22 2021-02-05 00:18:52.721: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:18:52.727: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.75, 93.92, 94.1, 94.28, 94.49, 94.65, 94.79, 94.93, 95.1, 95.3, 95.45, 95.57, 95.77, 95.92, 96.02, 96.13, 96.26, 96.37, 96.55, 96.64, 96.83, 96.97, 97.13, 97.13] 2021-02-05 00:18:52.727: INFO @evaluate_confidence: Dropped ratios are: [22.96, 24.04, 25.09, 26.03, 27.26, 28.18, 29.22, 30.4, 31.54, 32.75, 33.93, 34.95, 35.92, 36.83, 37.95, 39.07, 40.13, 41.33, 42.46, 43.45, 44.39, 45.38, 46.47, 47.58, 48.63] 2021-02-05 00:18:52.733: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:18:52.733: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.22 2021-02-05 00:18:52.733: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:18:52.733: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.19 2021-02-05 00:18:52.829: INFO @evaluate_confidence: Previous accuracy would be: 44.86 2021-02-05 00:18:52.830: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:18:52.833: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.48, 59.68, 60.98, 62.08, 62.84, 63.95, 65.29, 66.49, 67.7, 68.91, 69.84, 70.87, 72.27, 72.72, 73.42] 2021-02-05 00:18:52.833: INFO @evaluate_confidence: Dropped ratios are: [49.14, 51.79, 54.46, 56.75, 58.83, 60.99, 63.09, 65.13, 66.83, 68.42, 69.92, 71.39, 72.84, 74.04, 75.24] 2021-02-05 00:18:52.835: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:18:52.835: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:18:52.835: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:18:52.835: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:18:52.909: INFO @evaluate_confidence: Previous accuracy would be: 88.69 2021-02-05 00:18:52.909: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:18:52.911: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.64, 93.91, 94.22, 94.36, 94.52, 94.79, 94.84, 95.04, 95.21, 95.34, 95.55, 95.76, 95.94, 96.06, 96.29, 96.38, 96.41, 96.63, 96.69, 96.87, 97.07, 97.19, 97.22, 97.26, 97.39] 2021-02-05 00:18:52.911: INFO @evaluate_confidence: Dropped ratios are: [19.09, 20.05, 21.05, 21.78, 22.68, 23.96, 24.66, 25.61, 26.67, 27.8, 28.42, 29.55, 30.81, 31.91, 33.02, 34.09, 34.95, 36.0, 37.0, 38.21, 39.21, 40.27, 41.27, 42.27, 43.3] 2021-02-05 00:18:52.913: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:18:52.913: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-05 00:18:52.913: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.11 2021-02-05 00:18:52.913: INFO @evaluate_confidence: Average confidence of all samples 0.45 +- 0.16 2021-02-05 00:18:53.003: INFO @evaluate_confidence: Previous accuracy would be: 42.88 2021-02-05 00:18:53.003: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5] 2021-02-05 00:18:53.004: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.93, 55.95, 56.99, 58.53, 59.61, 60.59, 61.88, 62.25, 63.1, 63.93] 2021-02-05 00:18:53.004: INFO @evaluate_confidence: Dropped ratios are: [53.19, 56.77, 59.63, 62.49, 65.4, 67.91, 70.45, 72.35, 73.96, 75.24] 2021-02-05 00:18:53.013: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:18:53.384: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:18:53.439: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:18:53.706: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:18:53.865: INFO @decay_lr : LR updated to `8.8298315e-05` 2021-02-05 00:18:53.866: INFO @log_profile : T train: 12.887078 2021-02-05 00:18:53.866: INFO @log_profile : T valid: 1.668922 2021-02-05 00:18:53.866: INFO @log_profile : T read data: 0.403163 2021-02-05 00:18:53.866: INFO @log_profile : T hooks: 4.514123 2021-02-05 00:18:53.866: INFO @main_loop : Epoch 244 done 2021-02-05 00:18:53.866: INFO @main_loop : Training epoch 245 2021-02-05 00:19:09.478: INFO @log_variables: train loss nanmean: 1.214900 2021-02-05 00:19:09.478: INFO @log_variables: train age_loss mean: 9.136448 2021-02-05 00:19:09.478: INFO @log_variables: train gender_loss mean: 0.281190 2021-02-05 00:19:09.478: INFO @log_variables: train age_mae mean: 8.567497 2021-02-05 00:19:09.478: INFO @log_variables: train gender_accuracy mean: 0.879196 2021-02-05 00:19:09.478: INFO @log_variables: train gender_confidence/loss nanmean: 0.070088 2021-02-05 00:19:09.479: INFO @log_variables: train gender_confidence/accuracy mean: 0.771629 2021-02-05 00:19:09.479: INFO @log_variables: train age_confidence/loss mean: 0.058599 2021-02-05 00:19:09.479: INFO @log_variables: train age_confidence/accuracy mean: 0.668692 2021-02-05 00:19:09.479: INFO @log_variables: valid loss nanmean: 1.236563 2021-02-05 00:19:09.479: INFO @log_variables: valid age_loss mean: 9.282442 2021-02-05 00:19:09.479: INFO @log_variables: valid gender_loss mean: 0.283788 2021-02-05 00:19:09.479: INFO @log_variables: valid age_mae mean: 8.692656 2021-02-05 00:19:09.479: INFO @log_variables: valid gender_accuracy mean: 0.882840 2021-02-05 00:19:09.479: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072911 2021-02-05 00:19:09.479: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841445 2021-02-05 00:19:09.479: INFO @log_variables: valid age_confidence/loss mean: 0.061804 2021-02-05 00:19:09.479: INFO @log_variables: valid age_confidence/accuracy mean: 0.629453 2021-02-05 00:19:09.479: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:19:09.481: INFO @metrics_hook: train age_mae: 8.567 +-0.148 (13824) 2021-02-05 00:19:09.483: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:19:10.890: INFO @metrics_hook: valid age_mae: 8.693 +-0.278 (3986) 2021-02-05 00:19:10.890: INFO @metrics_hook: valid gender_accuracy: 0.883 +-0.010 (3986) 2021-02-05 00:19:12.261: INFO @decay_lr : LR updated to `8.7856824e-05` 2021-02-05 00:19:12.262: INFO @log_profile : T train: 12.900642 2021-02-05 00:19:12.262: INFO @log_profile : T valid: 1.647244 2021-02-05 00:19:12.262: INFO @log_profile : T read data: 0.403018 2021-02-05 00:19:12.262: INFO @log_profile : T hooks: 3.395660 2021-02-05 00:19:12.262: INFO @main_loop : Epoch 245 done 2021-02-05 00:19:12.262: INFO @main_loop : Training epoch 246 2021-02-05 00:19:27.784: INFO @log_variables: train loss nanmean: 1.194899 2021-02-05 00:19:27.784: INFO @log_variables: train age_loss mean: 9.031951 2021-02-05 00:19:27.784: INFO @log_variables: train gender_loss mean: 0.271214 2021-02-05 00:19:27.784: INFO @log_variables: train age_mae mean: 8.466741 2021-02-05 00:19:27.784: INFO @log_variables: train gender_accuracy mean: 0.885058 2021-02-05 00:19:27.784: INFO @log_variables: train gender_confidence/loss nanmean: 0.068621 2021-02-05 00:19:27.784: INFO @log_variables: train gender_confidence/accuracy mean: 0.781343 2021-02-05 00:19:27.784: INFO @log_variables: train age_confidence/loss mean: 0.058634 2021-02-05 00:19:27.784: INFO @log_variables: train age_confidence/accuracy mean: 0.667632 2021-02-05 00:19:27.785: INFO @log_variables: valid loss nanmean: 1.227408 2021-02-05 00:19:27.785: INFO @log_variables: valid age_loss mean: 9.183444 2021-02-05 00:19:27.785: INFO @log_variables: valid gender_loss mean: 0.281900 2021-02-05 00:19:27.785: INFO @log_variables: valid age_mae mean: 8.596601 2021-02-05 00:19:27.785: INFO @log_variables: valid gender_accuracy mean: 0.883593 2021-02-05 00:19:27.785: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074346 2021-02-05 00:19:27.785: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843703 2021-02-05 00:19:27.785: INFO @log_variables: valid age_confidence/loss mean: 0.061932 2021-02-05 00:19:27.785: INFO @log_variables: valid age_confidence/accuracy mean: 0.637481 2021-02-05 00:19:27.785: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:19:27.787: INFO @metrics_hook: train age_mae: 8.467 +-0.145 (13807) 2021-02-05 00:19:27.788: INFO @metrics_hook: train gender_accuracy: 0.885 +-0.005 (13807) 2021-02-05 00:19:29.224: INFO @metrics_hook: valid age_mae: 8.597 +-0.273 (3986) 2021-02-05 00:19:29.224: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:19:30.483: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:19:30.483: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:19:30.483: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:19:30.483: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:19:30.558: INFO @evaluate_confidence: Previous accuracy would be: 88.51 2021-02-05 00:19:30.558: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:19:30.563: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.77, 93.88, 94.03, 94.22, 94.4, 94.55, 94.78, 94.94, 95.11, 95.29, 95.45, 95.62, 95.81, 95.96, 96.08, 96.2, 96.26, 96.45, 96.63, 96.86, 97.0, 97.15, 97.31, 97.56, 97.69, 97.75] 2021-02-05 00:19:30.563: INFO @evaluate_confidence: Dropped ratios are: [22.21, 23.26, 24.32, 25.32, 26.39, 27.25, 28.35, 29.47, 30.53, 31.54, 32.61, 33.72, 34.91, 35.96, 37.17, 38.19, 39.24, 40.16, 41.25, 42.42, 43.43, 44.53, 45.58, 46.65, 47.68, 48.78] 2021-02-05 00:19:30.569: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:19:30.569: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:19:30.569: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:19:30.570: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:19:30.662: INFO @evaluate_confidence: Previous accuracy would be: 44.90 2021-02-05 00:19:30.663: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:19:30.666: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.12, 60.18, 61.38, 62.75, 63.74, 64.98, 65.69, 66.72, 67.72, 68.96, 70.28, 71.26, 72.33, 73.46] 2021-02-05 00:19:30.666: INFO @evaluate_confidence: Dropped ratios are: [49.63, 52.29, 54.92, 57.46, 59.61, 61.76, 63.63, 65.59, 67.44, 69.23, 70.8, 72.2, 73.54, 74.78] 2021-02-05 00:19:30.668: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:19:30.668: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:19:30.668: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:19:30.668: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:19:30.739: INFO @evaluate_confidence: Previous accuracy would be: 88.36 2021-02-05 00:19:30.740: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:19:30.741: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.31, 93.54, 93.82, 94.06, 94.26, 94.39, 94.54, 94.66, 94.75, 94.96, 95.37, 95.42, 95.62, 95.82, 96.09, 96.21, 96.53, 96.86, 97.02, 97.01, 97.12, 97.26, 97.41, 97.61, 97.79] 2021-02-05 00:19:30.741: INFO @evaluate_confidence: Dropped ratios are: [18.97, 19.99, 20.9, 21.8, 22.7, 23.56, 24.59, 25.77, 26.42, 27.32, 28.5, 29.3, 30.18, 31.54, 32.71, 33.77, 34.97, 36.05, 36.95, 37.88, 39.01, 40.42, 41.77, 43.23, 44.48] 2021-02-05 00:19:30.743: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:19:30.743: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:19:30.743: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:19:30.743: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:19:30.827: INFO @evaluate_confidence: Previous accuracy would be: 43.60 2021-02-05 00:19:30.827: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:19:30.828: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.49, 56.7, 57.92, 58.24, 59.15, 60.4, 61.34, 62.0, 62.95, 63.64] 2021-02-05 00:19:30.828: INFO @evaluate_confidence: Dropped ratios are: [51.08, 54.16, 57.55, 60.41, 62.97, 65.28, 67.81, 69.69, 71.63, 73.23] 2021-02-05 00:19:30.838: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:19:31.203: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:19:31.264: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:19:31.533: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:19:31.716: INFO @decay_lr : LR updated to `8.741754e-05` 2021-02-05 00:19:31.717: INFO @log_profile : T train: 12.892940 2021-02-05 00:19:31.717: INFO @log_profile : T valid: 1.501072 2021-02-05 00:19:31.717: INFO @log_profile : T read data: 0.499150 2021-02-05 00:19:31.717: INFO @log_profile : T hooks: 4.515410 2021-02-05 00:19:31.718: INFO @main_loop : Epoch 246 done 2021-02-05 00:19:31.718: INFO @main_loop : Training epoch 247 2021-02-05 00:19:47.034: INFO @log_variables: train loss nanmean: 1.209954 2021-02-05 00:19:47.035: INFO @log_variables: train age_loss mean: 9.138986 2021-02-05 00:19:47.035: INFO @log_variables: train gender_loss mean: 0.275900 2021-02-05 00:19:47.035: INFO @log_variables: train age_mae mean: 8.569709 2021-02-05 00:19:47.035: INFO @log_variables: train gender_accuracy mean: 0.882668 2021-02-05 00:19:47.035: INFO @log_variables: train gender_confidence/loss nanmean: 0.069269 2021-02-05 00:19:47.035: INFO @log_variables: train gender_confidence/accuracy mean: 0.782407 2021-02-05 00:19:47.035: INFO @log_variables: train age_confidence/loss mean: 0.059050 2021-02-05 00:19:47.035: INFO @log_variables: train age_confidence/accuracy mean: 0.659216 2021-02-05 00:19:47.035: INFO @log_variables: valid loss nanmean: 1.241322 2021-02-05 00:19:47.035: INFO @log_variables: valid age_loss mean: 9.292174 2021-02-05 00:19:47.035: INFO @log_variables: valid gender_loss mean: 0.286468 2021-02-05 00:19:47.035: INFO @log_variables: valid age_mae mean: 8.699927 2021-02-05 00:19:47.035: INFO @log_variables: valid gender_accuracy mean: 0.884094 2021-02-05 00:19:47.036: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074525 2021-02-05 00:19:47.036: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844456 2021-02-05 00:19:47.036: INFO @log_variables: valid age_confidence/loss mean: 0.061629 2021-02-05 00:19:47.036: INFO @log_variables: valid age_confidence/accuracy mean: 0.636227 2021-02-05 00:19:47.036: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:19:47.038: INFO @metrics_hook: train age_mae: 8.570 +-0.148 (13824) 2021-02-05 00:19:47.040: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13824) 2021-02-05 00:19:48.556: INFO @metrics_hook: valid age_mae: 8.700 +-0.277 (3986) 2021-02-05 00:19:48.556: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:19:49.988: INFO @decay_lr : LR updated to `8.698045e-05` 2021-02-05 00:19:49.989: INFO @log_profile : T train: 12.642900 2021-02-05 00:19:49.989: INFO @log_profile : T valid: 1.612428 2021-02-05 00:19:49.989: INFO @log_profile : T read data: 0.402916 2021-02-05 00:19:49.989: INFO @log_profile : T hooks: 3.567111 2021-02-05 00:19:49.989: INFO @main_loop : Epoch 247 done 2021-02-05 00:19:49.989: INFO @main_loop : Training epoch 248 2021-02-05 00:20:05.509: INFO @log_variables: train loss nanmean: 1.211459 2021-02-05 00:20:05.509: INFO @log_variables: train age_loss mean: 9.226574 2021-02-05 00:20:05.509: INFO @log_variables: train gender_loss mean: 0.270163 2021-02-05 00:20:05.509: INFO @log_variables: train age_mae mean: 8.654440 2021-02-05 00:20:05.509: INFO @log_variables: train gender_accuracy mean: 0.887804 2021-02-05 00:20:05.509: INFO @log_variables: train gender_confidence/loss nanmean: 0.068903 2021-02-05 00:20:05.509: INFO @log_variables: train gender_confidence/accuracy mean: 0.788990 2021-02-05 00:20:05.509: INFO @log_variables: train age_confidence/loss mean: 0.058173 2021-02-05 00:20:05.509: INFO @log_variables: train age_confidence/accuracy mean: 0.666016 2021-02-05 00:20:05.509: INFO @log_variables: valid loss nanmean: 1.221336 2021-02-05 00:20:05.509: INFO @log_variables: valid age_loss mean: 9.088754 2021-02-05 00:20:05.509: INFO @log_variables: valid gender_loss mean: 0.283372 2021-02-05 00:20:05.509: INFO @log_variables: valid age_mae mean: 8.502534 2021-02-05 00:20:05.509: INFO @log_variables: valid gender_accuracy mean: 0.886603 2021-02-05 00:20:05.509: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074497 2021-02-05 00:20:05.509: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836428 2021-02-05 00:20:05.509: INFO @log_variables: valid age_confidence/loss mean: 0.062977 2021-02-05 00:20:05.509: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-05 00:20:05.509: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:20:05.510: INFO @metrics_hook: train age_mae: 8.654 +-0.149 (13824) 2021-02-05 00:20:05.511: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13824) 2021-02-05 00:20:06.914: INFO @metrics_hook: valid age_mae: 8.503 +-0.271 (3986) 2021-02-05 00:20:06.914: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:20:08.167: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:20:08.167: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:20:08.167: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:20:08.167: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:20:08.248: INFO @evaluate_confidence: Previous accuracy would be: 88.78 2021-02-05 00:20:08.248: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:20:08.254: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.66, 93.86, 94.16, 94.4, 94.61, 94.9, 95.03, 95.14, 95.26, 95.38, 95.48, 95.71, 95.85, 96.03, 96.16, 96.32, 96.49, 96.61, 96.68, 96.89, 96.98, 97.14, 97.3, 97.43, 97.54, 97.63, 97.79] 2021-02-05 00:20:08.254: INFO @evaluate_confidence: Dropped ratios are: [21.29, 22.38, 23.37, 24.54, 25.65, 26.85, 27.81, 28.82, 29.85, 30.74, 31.83, 32.94, 34.01, 34.97, 36.12, 37.15, 38.23, 39.33, 40.52, 41.71, 42.82, 43.94, 45.13, 46.32, 47.32, 48.45, 49.57] 2021-02-05 00:20:08.259: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:20:08.260: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:20:08.260: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:20:08.260: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:20:08.354: INFO @evaluate_confidence: Previous accuracy would be: 44.20 2021-02-05 00:20:08.355: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:20:08.358: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.76, 59.22, 60.23, 61.76, 63.18, 64.49, 65.76, 66.67, 67.57, 68.39, 68.91, 69.75, 70.78, 71.71] 2021-02-05 00:20:08.358: INFO @evaluate_confidence: Dropped ratios are: [50.14, 53.13, 55.58, 58.21, 60.76, 63.15, 65.31, 67.21, 68.97, 70.64, 72.1, 73.5, 74.97, 76.37] 2021-02-05 00:20:08.360: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:20:08.360: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:20:08.360: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:20:08.360: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:20:08.431: INFO @evaluate_confidence: Previous accuracy would be: 88.66 2021-02-05 00:20:08.432: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:20:08.433: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.9, 94.35, 94.45, 94.53, 94.62, 94.69, 95.01, 95.07, 95.27, 95.37, 95.58, 95.68, 95.75, 95.84, 95.95, 96.02, 96.31, 96.53, 96.72, 96.75, 96.82, 96.89, 97.09, 97.21, 97.33] 2021-02-05 00:20:08.433: INFO @evaluate_confidence: Dropped ratios are: [19.79, 20.97, 21.75, 22.5, 23.53, 24.46, 25.64, 26.67, 27.37, 28.42, 29.13, 29.78, 30.91, 31.91, 33.04, 34.37, 35.4, 36.33, 37.23, 38.28, 39.29, 40.37, 41.37, 42.5, 43.53] 2021-02-05 00:20:08.435: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:20:08.435: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:20:08.435: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:20:08.435: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:20:08.522: INFO @evaluate_confidence: Previous accuracy would be: 44.00 2021-02-05 00:20:08.522: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:20:08.523: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.4, 56.3, 57.76, 58.86, 59.75, 61.12, 62.25, 63.14, 64.39] 2021-02-05 00:20:08.523: INFO @evaluate_confidence: Dropped ratios are: [51.96, 55.8, 58.96, 61.77, 64.22, 66.71, 68.97, 71.55, 73.58] 2021-02-05 00:20:08.532: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:20:08.897: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:08.960: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:20:09.226: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:09.383: INFO @decay_lr : LR updated to `8.6545544e-05` 2021-02-05 00:20:09.384: INFO @log_profile : T train: 12.887400 2021-02-05 00:20:09.384: INFO @log_profile : T valid: 1.611138 2021-02-05 00:20:09.384: INFO @log_profile : T read data: 0.394308 2021-02-05 00:20:09.384: INFO @log_profile : T hooks: 4.451943 2021-02-05 00:20:09.384: INFO @main_loop : Epoch 248 done 2021-02-05 00:20:09.384: INFO @main_loop : Training epoch 249 2021-02-05 00:20:24.511: INFO @log_variables: train loss nanmean: 1.211538 2021-02-05 00:20:24.511: INFO @log_variables: train age_loss mean: 9.147696 2021-02-05 00:20:24.511: INFO @log_variables: train gender_loss mean: 0.278232 2021-02-05 00:20:24.511: INFO @log_variables: train age_mae mean: 8.579824 2021-02-05 00:20:24.511: INFO @log_variables: train gender_accuracy mean: 0.884044 2021-02-05 00:20:24.511: INFO @log_variables: train gender_confidence/loss nanmean: 0.069366 2021-02-05 00:20:24.511: INFO @log_variables: train gender_confidence/accuracy mean: 0.781343 2021-02-05 00:20:24.511: INFO @log_variables: train age_confidence/loss mean: 0.057625 2021-02-05 00:20:24.511: INFO @log_variables: train age_confidence/accuracy mean: 0.672630 2021-02-05 00:20:24.511: INFO @log_variables: valid loss nanmean: 1.236841 2021-02-05 00:20:24.511: INFO @log_variables: valid age_loss mean: 9.255155 2021-02-05 00:20:24.511: INFO @log_variables: valid gender_loss mean: 0.284070 2021-02-05 00:20:24.511: INFO @log_variables: valid age_mae mean: 8.662004 2021-02-05 00:20:24.511: INFO @log_variables: valid gender_accuracy mean: 0.885349 2021-02-05 00:20:24.511: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074226 2021-02-05 00:20:24.512: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836428 2021-02-05 00:20:24.512: INFO @log_variables: valid age_confidence/loss mean: 0.062992 2021-02-05 00:20:24.512: INFO @log_variables: valid age_confidence/accuracy mean: 0.626192 2021-02-05 00:20:24.512: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:20:24.513: INFO @metrics_hook: train age_mae: 8.580 +-0.146 (13807) 2021-02-05 00:20:24.515: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13807) 2021-02-05 00:20:25.951: INFO @metrics_hook: valid age_mae: 8.662 +-0.276 (3986) 2021-02-05 00:20:25.951: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:20:27.273: INFO @decay_lr : LR updated to `8.6112814e-05` 2021-02-05 00:20:27.274: INFO @log_profile : T train: 12.635262 2021-02-05 00:20:27.274: INFO @log_profile : T valid: 1.331900 2021-02-05 00:20:27.274: INFO @log_profile : T read data: 0.515286 2021-02-05 00:20:27.274: INFO @log_profile : T hooks: 3.360056 2021-02-05 00:20:27.274: INFO @main_loop : Epoch 249 done 2021-02-05 00:20:27.274: INFO @main_loop : Training epoch 250 2021-02-05 00:20:43.264: INFO @log_variables: train loss nanmean: 1.213353 2021-02-05 00:20:43.264: INFO @log_variables: train age_loss mean: 9.257688 2021-02-05 00:20:43.266: INFO @log_variables: train gender_loss mean: 0.269416 2021-02-05 00:20:43.266: INFO @log_variables: train age_mae mean: 8.684371 2021-02-05 00:20:43.266: INFO @log_variables: train gender_accuracy mean: 0.889829 2021-02-05 00:20:43.266: INFO @log_variables: train gender_confidence/loss nanmean: 0.069530 2021-02-05 00:20:43.267: INFO @log_variables: train gender_confidence/accuracy mean: 0.782335 2021-02-05 00:20:43.267: INFO @log_variables: train age_confidence/loss mean: 0.057291 2021-02-05 00:20:43.267: INFO @log_variables: train age_confidence/accuracy mean: 0.677807 2021-02-05 00:20:43.267: INFO @log_variables: valid loss nanmean: 1.239054 2021-02-05 00:20:43.267: INFO @log_variables: valid age_loss mean: 9.216362 2021-02-05 00:20:43.267: INFO @log_variables: valid gender_loss mean: 0.291092 2021-02-05 00:20:43.267: INFO @log_variables: valid age_mae mean: 8.625617 2021-02-05 00:20:43.267: INFO @log_variables: valid gender_accuracy mean: 0.882338 2021-02-05 00:20:43.267: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075241 2021-02-05 00:20:43.267: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833417 2021-02-05 00:20:43.267: INFO @log_variables: valid age_confidence/loss mean: 0.061332 2021-02-05 00:20:43.267: INFO @log_variables: valid age_confidence/accuracy mean: 0.634220 2021-02-05 00:20:43.267: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:20:43.268: INFO @metrics_hook: train age_mae: 8.684 +-0.149 (13824) 2021-02-05 00:20:43.269: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13824) 2021-02-05 00:20:44.689: INFO @metrics_hook: valid age_mae: 8.626 +-0.280 (3986) 2021-02-05 00:20:44.690: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:20:45.953: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:20:45.953: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:20:45.953: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:20:45.954: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:20:46.027: INFO @evaluate_confidence: Previous accuracy would be: 88.98 2021-02-05 00:20:46.027: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:20:46.032: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.97, 94.16, 94.32, 94.42, 94.57, 94.8, 94.92, 95.04, 95.2, 95.39, 95.56, 95.72, 95.86, 96.01, 96.2, 96.3, 96.47, 96.56, 96.76, 96.83, 96.94, 97.05, 97.19, 97.33, 97.42] 2021-02-05 00:20:46.032: INFO @evaluate_confidence: Dropped ratios are: [22.71, 23.9, 24.99, 26.1, 27.1, 28.18, 29.14, 30.03, 31.08, 32.14, 33.25, 34.27, 35.24, 36.23, 37.18, 38.35, 39.41, 40.34, 41.36, 42.52, 43.59, 44.76, 45.88, 46.93, 48.1] 2021-02-05 00:20:46.038: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:20:46.038: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.22 2021-02-05 00:20:46.038: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:20:46.038: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.19 2021-02-05 00:20:46.132: INFO @evaluate_confidence: Previous accuracy would be: 44.00 2021-02-05 00:20:46.132: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:20:46.136: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.86, 58.91, 60.47, 62.0, 63.25, 64.58, 65.88, 66.9, 68.15, 69.39, 70.47, 71.88, 73.05, 74.23, 75.14] 2021-02-05 00:20:46.136: INFO @evaluate_confidence: Dropped ratios are: [50.08, 52.64, 55.52, 57.91, 60.12, 62.25, 64.32, 66.35, 68.05, 69.58, 71.25, 72.61, 73.86, 75.27, 76.43] 2021-02-05 00:20:46.138: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:20:46.138: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:20:46.138: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:20:46.138: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:20:46.209: INFO @evaluate_confidence: Previous accuracy would be: 88.23 2021-02-05 00:20:46.210: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:20:46.211: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.23, 93.43, 93.73, 93.84, 93.92, 94.14, 94.41, 94.63, 94.79, 94.93, 95.09, 95.28, 95.32, 95.5, 95.66, 95.96, 96.19, 96.34, 96.36, 96.45, 96.73, 96.87, 97.08, 97.28, 97.39] 2021-02-05 00:20:46.211: INFO @evaluate_confidence: Dropped ratios are: [20.7, 21.7, 22.78, 23.81, 24.96, 25.94, 26.87, 27.6, 28.73, 29.7, 30.53, 31.46, 32.46, 33.64, 34.72, 35.98, 36.75, 37.68, 38.59, 39.86, 40.97, 42.22, 43.2, 44.76, 46.09] 2021-02-05 00:20:46.213: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:20:46.213: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:20:46.213: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:20:46.213: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:20:46.294: INFO @evaluate_confidence: Previous accuracy would be: 43.85 2021-02-05 00:20:46.295: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:20:46.296: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.69, 57.79, 59.0, 59.43, 59.74, 59.94, 61.33, 62.42, 63.16, 64.28] 2021-02-05 00:20:46.296: INFO @evaluate_confidence: Dropped ratios are: [53.49, 56.85, 59.86, 62.47, 64.73, 66.68, 68.99, 70.82, 72.35, 74.08] 2021-02-05 00:20:46.306: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:20:46.670: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:46.725: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:20:46.988: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:47.049: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:20:47.438: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:47.510: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:20:47.511: INFO @evaluate_gender-age_model: groups 0 4.928563 1 9.566245 2 9.503248 3 8.636570 4 8.768581 5 9.611308 6 9.410840 7 8.692637 Name: errors, dtype: float64 2021-02-05 00:20:47.512: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:20:47.801: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:20:47.863: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:20:47.864: INFO @evaluate_gender-age_model: groups 0 6.553615 1 8.818257 2 8.337884 3 7.716755 4 9.222981 5 9.901477 6 9.450295 7 7.622132 Name: errors, dtype: float64 2021-02-05 00:20:47.977: INFO @decay_lr : LR updated to `8.568225e-05` 2021-02-05 00:20:47.978: INFO @log_profile : T train: 12.795704 2021-02-05 00:20:47.978: INFO @log_profile : T valid: 1.597918 2021-02-05 00:20:47.978: INFO @log_profile : T read data: 0.399183 2021-02-05 00:20:47.978: INFO @log_profile : T hooks: 5.862991 2021-02-05 00:20:47.978: INFO @main_loop : Epoch 250 done 2021-02-05 00:20:47.978: INFO @main_loop : Training epoch 251 2021-02-05 00:21:03.580: INFO @log_variables: train loss nanmean: 1.201325 2021-02-05 00:21:03.580: INFO @log_variables: train age_loss mean: 9.037448 2021-02-05 00:21:03.580: INFO @log_variables: train gender_loss mean: 0.277412 2021-02-05 00:21:03.580: INFO @log_variables: train age_mae mean: 8.471184 2021-02-05 00:21:03.580: INFO @log_variables: train gender_accuracy mean: 0.882813 2021-02-05 00:21:03.580: INFO @log_variables: train gender_confidence/loss nanmean: 0.069045 2021-02-05 00:21:03.580: INFO @log_variables: train gender_confidence/accuracy mean: 0.783443 2021-02-05 00:21:03.580: INFO @log_variables: train age_confidence/loss mean: 0.058501 2021-02-05 00:21:03.580: INFO @log_variables: train age_confidence/accuracy mean: 0.667850 2021-02-05 00:21:03.580: INFO @log_variables: valid loss nanmean: 1.227527 2021-02-05 00:21:03.580: INFO @log_variables: valid age_loss mean: 9.116982 2021-02-05 00:21:03.580: INFO @log_variables: valid gender_loss mean: 0.285231 2021-02-05 00:21:03.580: INFO @log_variables: valid age_mae mean: 8.531590 2021-02-05 00:21:03.580: INFO @log_variables: valid gender_accuracy mean: 0.883843 2021-02-05 00:21:03.580: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074723 2021-02-05 00:21:03.580: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843201 2021-02-05 00:21:03.580: INFO @log_variables: valid age_confidence/loss mean: 0.064686 2021-02-05 00:21:03.580: INFO @log_variables: valid age_confidence/accuracy mean: 0.623683 2021-02-05 00:21:03.580: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:21:03.581: INFO @metrics_hook: train age_mae: 8.471 +-0.146 (13807) 2021-02-05 00:21:03.582: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13807) 2021-02-05 00:21:05.020: INFO @metrics_hook: valid age_mae: 8.532 +-0.275 (3986) 2021-02-05 00:21:05.021: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:21:06.398: INFO @decay_lr : LR updated to `8.525384e-05` 2021-02-05 00:21:06.399: INFO @log_profile : T train: 12.899479 2021-02-05 00:21:06.399: INFO @log_profile : T valid: 1.580441 2021-02-05 00:21:06.399: INFO @log_profile : T read data: 0.487443 2021-02-05 00:21:06.399: INFO @log_profile : T hooks: 3.403902 2021-02-05 00:21:06.399: INFO @main_loop : Epoch 251 done 2021-02-05 00:21:06.399: INFO @main_loop : Training epoch 252 2021-02-05 00:21:21.611: INFO @log_variables: train loss nanmean: 1.203044 2021-02-05 00:21:21.611: INFO @log_variables: train age_loss mean: 9.003863 2021-02-05 00:21:21.611: INFO @log_variables: train gender_loss mean: 0.281857 2021-02-05 00:21:21.611: INFO @log_variables: train age_mae mean: 8.434679 2021-02-05 00:21:21.611: INFO @log_variables: train gender_accuracy mean: 0.879413 2021-02-05 00:21:21.612: INFO @log_variables: train gender_confidence/loss nanmean: 0.068741 2021-02-05 00:21:21.612: INFO @log_variables: train gender_confidence/accuracy mean: 0.780310 2021-02-05 00:21:21.612: INFO @log_variables: train age_confidence/loss mean: 0.059537 2021-02-05 00:21:21.612: INFO @log_variables: train age_confidence/accuracy mean: 0.656612 2021-02-05 00:21:21.612: INFO @log_variables: valid loss nanmean: 1.221600 2021-02-05 00:21:21.612: INFO @log_variables: valid age_loss mean: 9.117192 2021-02-05 00:21:21.612: INFO @log_variables: valid gender_loss mean: 0.280934 2021-02-05 00:21:21.612: INFO @log_variables: valid age_mae mean: 8.525932 2021-02-05 00:21:21.612: INFO @log_variables: valid gender_accuracy mean: 0.886603 2021-02-05 00:21:21.612: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074147 2021-02-05 00:21:21.612: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835173 2021-02-05 00:21:21.612: INFO @log_variables: valid age_confidence/loss mean: 0.063223 2021-02-05 00:21:21.612: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:21:21.612: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:21:21.614: INFO @metrics_hook: train age_mae: 8.435 +-0.145 (13824) 2021-02-05 00:21:21.616: INFO @metrics_hook: train gender_accuracy: 0.879 +-0.006 (13824) 2021-02-05 00:21:23.068: INFO @metrics_hook: valid age_mae: 8.526 +-0.277 (3986) 2021-02-05 00:21:23.068: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:21:24.321: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:21:24.321: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:21:24.321: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:21:24.321: INFO @evaluate_confidence: Average confidence of all samples 0.70 +- 0.23 2021-02-05 00:21:24.401: INFO @evaluate_confidence: Previous accuracy would be: 87.94 2021-02-05 00:21:24.401: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:21:24.407: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.12, 93.3, 93.45, 93.53, 93.78, 94.05, 94.24, 94.46, 94.64, 94.75, 95.03, 95.24, 95.44, 95.72, 95.91, 96.04, 96.17, 96.32, 96.39, 96.57, 96.76, 96.92, 97.12, 97.32, 97.41, 97.54] 2021-02-05 00:21:24.407: INFO @evaluate_confidence: Dropped ratios are: [22.0, 23.03, 24.09, 25.2, 26.27, 27.55, 28.6, 29.75, 30.84, 31.92, 32.91, 34.03, 35.13, 36.15, 37.14, 38.22, 39.37, 40.48, 41.54, 42.66, 43.68, 44.82, 45.98, 47.18, 48.27, 49.33] 2021-02-05 00:21:24.413: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:21:24.413: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:21:24.413: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:21:24.413: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:21:24.508: INFO @evaluate_confidence: Previous accuracy would be: 45.29 2021-02-05 00:21:24.508: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:21:24.512: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.12, 59.23, 60.3, 61.24, 62.58, 63.63, 64.56, 65.57, 66.49, 67.34, 68.39, 69.43, 70.45, 71.74] 2021-02-05 00:21:24.512: INFO @evaluate_confidence: Dropped ratios are: [48.65, 51.54, 54.27, 56.44, 59.01, 61.23, 63.24, 65.13, 66.91, 68.44, 69.95, 71.39, 72.78, 74.38] 2021-02-05 00:21:24.513: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:21:24.513: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:21:24.513: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:21:24.514: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.21 2021-02-05 00:21:24.584: INFO @evaluate_confidence: Previous accuracy would be: 88.66 2021-02-05 00:21:24.585: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:21:24.586: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.76, 94.03, 94.19, 94.39, 94.58, 94.76, 94.93, 95.31, 95.56, 95.6, 95.65, 95.95, 96.05, 96.17, 96.27, 96.35, 96.42, 96.48, 96.54, 96.69, 96.7, 97.03, 97.2, 97.32] 2021-02-05 00:21:24.586: INFO @evaluate_confidence: Dropped ratios are: [19.97, 20.75, 21.83, 22.75, 23.93, 24.59, 25.74, 26.79, 27.8, 28.83, 29.83, 30.76, 31.89, 32.69, 33.77, 34.82, 36.08, 36.93, 37.98, 39.11, 40.12, 41.39, 42.6, 43.55, 44.86] 2021-02-05 00:21:24.588: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:21:24.588: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:21:24.588: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:21:24.588: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:21:24.669: INFO @evaluate_confidence: Previous accuracy would be: 44.66 2021-02-05 00:21:24.670: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:21:24.671: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.17, 57.28, 58.04, 58.57, 59.25, 60.26, 61.6, 62.45, 63.04, 63.63] 2021-02-05 00:21:24.671: INFO @evaluate_confidence: Dropped ratios are: [50.6, 54.54, 57.25, 59.61, 62.44, 65.03, 67.13, 69.67, 71.42, 73.31] 2021-02-05 00:21:24.680: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:21:25.055: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:21:25.114: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:21:25.384: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:21:25.545: INFO @decay_lr : LR updated to `8.4827574e-05` 2021-02-05 00:21:25.546: INFO @log_profile : T train: 12.740436 2021-02-05 00:21:25.547: INFO @log_profile : T valid: 1.495665 2021-02-05 00:21:25.547: INFO @log_profile : T read data: 0.390327 2021-02-05 00:21:25.547: INFO @log_profile : T hooks: 4.475168 2021-02-05 00:21:25.547: INFO @main_loop : Epoch 252 done 2021-02-05 00:21:25.547: INFO @main_loop : Training epoch 253 2021-02-05 00:21:40.634: INFO @log_variables: train loss nanmean: 1.206393 2021-02-05 00:21:40.634: INFO @log_variables: train age_loss mean: 9.058241 2021-02-05 00:21:40.634: INFO @log_variables: train gender_loss mean: 0.280234 2021-02-05 00:21:40.634: INFO @log_variables: train age_mae mean: 8.491017 2021-02-05 00:21:40.634: INFO @log_variables: train gender_accuracy mean: 0.884549 2021-02-05 00:21:40.634: INFO @log_variables: train gender_confidence/loss nanmean: 0.069748 2021-02-05 00:21:40.634: INFO @log_variables: train gender_confidence/accuracy mean: 0.781756 2021-02-05 00:21:40.634: INFO @log_variables: train age_confidence/loss mean: 0.058410 2021-02-05 00:21:40.634: INFO @log_variables: train age_confidence/accuracy mean: 0.669922 2021-02-05 00:21:40.634: INFO @log_variables: valid loss nanmean: 1.218013 2021-02-05 00:21:40.634: INFO @log_variables: valid age_loss mean: 9.029345 2021-02-05 00:21:40.634: INFO @log_variables: valid gender_loss mean: 0.287869 2021-02-05 00:21:40.634: INFO @log_variables: valid age_mae mean: 8.441937 2021-02-05 00:21:40.635: INFO @log_variables: valid gender_accuracy mean: 0.878575 2021-02-05 00:21:40.635: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073650 2021-02-05 00:21:40.635: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841194 2021-02-05 00:21:40.635: INFO @log_variables: valid age_confidence/loss mean: 0.061815 2021-02-05 00:21:40.635: INFO @log_variables: valid age_confidence/accuracy mean: 0.635976 2021-02-05 00:21:40.635: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:21:40.636: INFO @metrics_hook: train age_mae: 8.491 +-0.146 (13824) 2021-02-05 00:21:40.638: INFO @metrics_hook: train gender_accuracy: 0.885 +-0.005 (13824) 2021-02-05 00:21:42.042: INFO @metrics_hook: valid age_mae: 8.442 +-0.271 (3986) 2021-02-05 00:21:42.042: INFO @metrics_hook: valid gender_accuracy: 0.879 +-0.010 (3986) 2021-02-05 00:21:43.360: INFO @decay_lr : LR updated to `8.440344e-05` 2021-02-05 00:21:43.362: INFO @log_profile : T train: 12.564181 2021-02-05 00:21:43.362: INFO @log_profile : T valid: 1.482163 2021-02-05 00:21:43.362: INFO @log_profile : T read data: 0.397648 2021-02-05 00:21:43.362: INFO @log_profile : T hooks: 3.325299 2021-02-05 00:21:43.362: INFO @main_loop : Epoch 253 done 2021-02-05 00:21:43.362: INFO @main_loop : Training epoch 254 2021-02-05 00:21:59.071: INFO @log_variables: train loss nanmean: 1.205170 2021-02-05 00:21:59.071: INFO @log_variables: train age_loss mean: 9.154127 2021-02-05 00:21:59.071: INFO @log_variables: train gender_loss mean: 0.269802 2021-02-05 00:21:59.071: INFO @log_variables: train age_mae mean: 8.583796 2021-02-05 00:21:59.071: INFO @log_variables: train gender_accuracy mean: 0.886869 2021-02-05 00:21:59.071: INFO @log_variables: train gender_confidence/loss nanmean: 0.069049 2021-02-05 00:21:59.071: INFO @log_variables: train gender_confidence/accuracy mean: 0.778808 2021-02-05 00:21:59.071: INFO @log_variables: train age_confidence/loss mean: 0.058653 2021-02-05 00:21:59.071: INFO @log_variables: train age_confidence/accuracy mean: 0.666474 2021-02-05 00:21:59.071: INFO @log_variables: valid loss nanmean: 1.217088 2021-02-05 00:21:59.071: INFO @log_variables: valid age_loss mean: 9.066508 2021-02-05 00:21:59.071: INFO @log_variables: valid gender_loss mean: 0.283173 2021-02-05 00:21:59.071: INFO @log_variables: valid age_mae mean: 8.478778 2021-02-05 00:21:59.071: INFO @log_variables: valid gender_accuracy mean: 0.881586 2021-02-05 00:21:59.071: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073059 2021-02-05 00:21:59.072: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842449 2021-02-05 00:21:59.072: INFO @log_variables: valid age_confidence/loss mean: 0.062371 2021-02-05 00:21:59.072: INFO @log_variables: valid age_confidence/accuracy mean: 0.636729 2021-02-05 00:21:59.072: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:21:59.073: INFO @metrics_hook: train age_mae: 8.584 +-0.148 (13807) 2021-02-05 00:21:59.075: INFO @metrics_hook: train gender_accuracy: 0.887 +-0.005 (13807) 2021-02-05 00:22:00.474: INFO @metrics_hook: valid age_mae: 8.479 +-0.274 (3986) 2021-02-05 00:22:00.475: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:22:01.676: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:22:01.676: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.73 +- 0.22 2021-02-05 00:22:01.676: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:22:01.676: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:22:01.747: INFO @evaluate_confidence: Previous accuracy would be: 88.69 2021-02-05 00:22:01.747: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:22:01.753: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.53, 93.75, 93.95, 94.09, 94.3, 94.47, 94.74, 94.92, 95.07, 95.25, 95.45, 95.69, 95.85, 95.99, 96.12, 96.28, 96.36, 96.48, 96.54, 96.69, 96.9, 97.05, 97.16, 97.2, 97.32, 97.56] 2021-02-05 00:22:01.753: INFO @evaluate_confidence: Dropped ratios are: [22.2, 23.27, 24.26, 25.31, 26.35, 27.43, 28.48, 29.63, 30.74, 31.77, 32.78, 33.98, 34.92, 35.9, 36.92, 37.94, 38.97, 40.09, 41.37, 42.51, 43.48, 44.54, 45.67, 46.76, 47.84, 49.02] 2021-02-05 00:22:01.758: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:22:01.758: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:22:01.758: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.40 +- 0.12 2021-02-05 00:22:01.758: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.18 2021-02-05 00:22:01.850: INFO @evaluate_confidence: Previous accuracy would be: 44.55 2021-02-05 00:22:01.850: INFO @evaluate_confidence: Possible optimal thresholds are: [0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:22:01.854: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.52, 58.7, 59.99, 61.09, 62.56, 63.84, 65.03, 65.95, 66.87, 67.82, 68.66, 69.53, 70.39, 71.36, 72.02] 2021-02-05 00:22:01.854: INFO @evaluate_confidence: Dropped ratios are: [48.51, 51.39, 54.02, 56.56, 58.93, 61.11, 63.17, 65.22, 66.97, 68.49, 70.0, 71.5, 72.77, 73.98, 75.23] 2021-02-05 00:22:01.856: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:22:01.856: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:22:01.856: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:22:01.856: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:22:01.925: INFO @evaluate_confidence: Previous accuracy would be: 88.16 2021-02-05 00:22:01.925: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:22:01.927: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.55, 93.61, 93.69, 93.86, 94.01, 94.1, 94.36, 94.55, 94.81, 95.01, 95.26, 95.45, 95.77, 95.94, 96.12, 96.18, 96.35, 96.53, 96.63, 96.78, 96.9, 97.05, 97.26, 97.28, 97.22] 2021-02-05 00:22:01.927: INFO @evaluate_confidence: Dropped ratios are: [19.54, 20.72, 21.7, 22.73, 23.76, 24.76, 25.72, 26.77, 28.0, 29.13, 30.08, 31.06, 32.31, 33.22, 34.07, 35.0, 36.08, 37.1, 38.13, 39.16, 40.19, 41.34, 42.4, 43.68, 44.91] 2021-02-05 00:22:01.929: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:22:01.929: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:22:01.929: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:22:01.929: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:22:02.010: INFO @evaluate_confidence: Previous accuracy would be: 43.93 2021-02-05 00:22:02.010: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:22:02.011: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.38, 56.25, 57.19, 58.21, 59.06, 60.62, 60.88, 61.93, 63.28, 63.66] 2021-02-05 00:22:02.011: INFO @evaluate_confidence: Dropped ratios are: [51.98, 55.04, 58.15, 60.56, 62.74, 65.15, 67.49, 69.62, 71.37, 73.28] 2021-02-05 00:22:02.020: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:22:02.371: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:22:02.431: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:22:02.696: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:22:02.853: INFO @decay_lr : LR updated to `8.398142e-05` 2021-02-05 00:22:02.854: INFO @log_profile : T train: 12.966731 2021-02-05 00:22:02.854: INFO @log_profile : T valid: 1.576386 2021-02-05 00:22:02.854: INFO @log_profile : T read data: 0.521356 2021-02-05 00:22:02.854: INFO @log_profile : T hooks: 4.378116 2021-02-05 00:22:02.854: INFO @main_loop : Epoch 254 done 2021-02-05 00:22:02.854: INFO @main_loop : Training epoch 255 2021-02-05 00:22:17.570: INFO @log_variables: train loss nanmean: 1.224906 2021-02-05 00:22:17.570: INFO @log_variables: train age_loss mean: 9.263602 2021-02-05 00:22:17.571: INFO @log_variables: train gender_loss mean: 0.280706 2021-02-05 00:22:17.571: INFO @log_variables: train age_mae mean: 8.689493 2021-02-05 00:22:17.571: INFO @log_variables: train gender_accuracy mean: 0.879630 2021-02-05 00:22:17.571: INFO @log_variables: train gender_confidence/loss nanmean: 0.069701 2021-02-05 00:22:17.571: INFO @log_variables: train gender_confidence/accuracy mean: 0.781033 2021-02-05 00:22:17.571: INFO @log_variables: train age_confidence/loss mean: 0.057872 2021-02-05 00:22:17.571: INFO @log_variables: train age_confidence/accuracy mean: 0.672309 2021-02-05 00:22:17.571: INFO @log_variables: valid loss nanmean: 1.219827 2021-02-05 00:22:17.571: INFO @log_variables: valid age_loss mean: 9.087708 2021-02-05 00:22:17.571: INFO @log_variables: valid gender_loss mean: 0.284543 2021-02-05 00:22:17.571: INFO @log_variables: valid age_mae mean: 8.499994 2021-02-05 00:22:17.571: INFO @log_variables: valid gender_accuracy mean: 0.882338 2021-02-05 00:22:17.571: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072341 2021-02-05 00:22:17.571: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851731 2021-02-05 00:22:17.571: INFO @log_variables: valid age_confidence/loss mean: 0.062655 2021-02-05 00:22:17.571: INFO @log_variables: valid age_confidence/accuracy mean: 0.631209 2021-02-05 00:22:17.571: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:22:17.573: INFO @metrics_hook: train age_mae: 8.689 +-0.149 (13824) 2021-02-05 00:22:17.575: INFO @metrics_hook: train gender_accuracy: 0.880 +-0.006 (13824) 2021-02-05 00:22:18.945: INFO @metrics_hook: valid age_mae: 8.500 +-0.270 (3986) 2021-02-05 00:22:18.946: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:22:20.264: INFO @decay_lr : LR updated to `8.356151e-05` 2021-02-05 00:22:20.265: INFO @log_profile : T train: 12.347833 2021-02-05 00:22:20.265: INFO @log_profile : T valid: 1.333529 2021-02-05 00:22:20.265: INFO @log_profile : T read data: 0.403324 2021-02-05 00:22:20.265: INFO @log_profile : T hooks: 3.280300 2021-02-05 00:22:20.265: INFO @main_loop : Epoch 255 done 2021-02-05 00:22:20.265: INFO @main_loop : Training epoch 256 2021-02-05 00:22:35.814: INFO @log_variables: train loss nanmean: 1.202412 2021-02-05 00:22:35.814: INFO @log_variables: train age_loss mean: 9.100974 2021-02-05 00:22:35.814: INFO @log_variables: train gender_loss mean: 0.272526 2021-02-05 00:22:35.814: INFO @log_variables: train age_mae mean: 8.531358 2021-02-05 00:22:35.814: INFO @log_variables: train gender_accuracy mean: 0.885706 2021-02-05 00:22:35.814: INFO @log_variables: train gender_confidence/loss nanmean: 0.068746 2021-02-05 00:22:35.814: INFO @log_variables: train gender_confidence/accuracy mean: 0.786748 2021-02-05 00:22:35.814: INFO @log_variables: train age_confidence/loss mean: 0.058554 2021-02-05 00:22:35.814: INFO @log_variables: train age_confidence/accuracy mean: 0.666377 2021-02-05 00:22:35.814: INFO @log_variables: valid loss nanmean: 1.215915 2021-02-05 00:22:35.814: INFO @log_variables: valid age_loss mean: 9.016375 2021-02-05 00:22:35.814: INFO @log_variables: valid gender_loss mean: 0.284008 2021-02-05 00:22:35.814: INFO @log_variables: valid age_mae mean: 8.431748 2021-02-05 00:22:35.814: INFO @log_variables: valid gender_accuracy mean: 0.884847 2021-02-05 00:22:35.814: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074522 2021-02-05 00:22:35.815: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841947 2021-02-05 00:22:35.815: INFO @log_variables: valid age_confidence/loss mean: 0.063534 2021-02-05 00:22:35.815: INFO @log_variables: valid age_confidence/accuracy mean: 0.628700 2021-02-05 00:22:35.815: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:22:35.816: INFO @metrics_hook: train age_mae: 8.531 +-0.147 (13824) 2021-02-05 00:22:35.818: INFO @metrics_hook: train gender_accuracy: 0.886 +-0.005 (13824) 2021-02-05 00:22:37.256: INFO @metrics_hook: valid age_mae: 8.432 +-0.271 (3986) 2021-02-05 00:22:37.256: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:22:38.505: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:22:38.506: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:22:38.506: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:22:38.506: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:22:38.579: INFO @evaluate_confidence: Previous accuracy would be: 88.57 2021-02-05 00:22:38.579: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:22:38.584: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.67, 93.92, 94.12, 94.31, 94.44, 94.72, 94.94, 95.15, 95.25, 95.3, 95.5, 95.68, 95.85, 96.01, 96.15, 96.28, 96.41, 96.66, 96.8, 96.89, 97.07, 97.15, 97.36, 97.47, 97.6] 2021-02-05 00:22:38.584: INFO @evaluate_confidence: Dropped ratios are: [22.27, 23.44, 24.4, 25.42, 26.43, 27.52, 28.7, 29.75, 30.85, 31.9, 32.97, 33.87, 34.99, 36.11, 37.12, 38.21, 39.42, 40.47, 41.48, 42.48, 43.68, 44.71, 45.8, 46.76, 47.93] 2021-02-05 00:22:38.590: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:22:38.590: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:22:38.590: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:22:38.590: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:22:38.683: INFO @evaluate_confidence: Previous accuracy would be: 44.34 2021-02-05 00:22:38.683: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:22:38.687: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.1, 59.17, 60.34, 61.56, 62.86, 64.2, 65.13, 66.3, 67.12, 68.12, 69.19, 70.19, 71.17, 72.17] 2021-02-05 00:22:38.687: INFO @evaluate_confidence: Dropped ratios are: [50.43, 53.24, 55.95, 58.38, 60.78, 62.8, 64.74, 66.51, 68.06, 69.73, 71.31, 72.82, 74.41, 75.51] 2021-02-05 00:22:38.688: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:22:38.689: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:22:38.689: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.18 2021-02-05 00:22:38.689: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.20 2021-02-05 00:22:38.765: INFO @evaluate_confidence: Previous accuracy would be: 88.48 2021-02-05 00:22:38.765: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:22:38.767: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.33, 93.59, 93.8, 94.04, 94.25, 94.49, 94.65, 94.84, 95.04, 95.26, 95.36, 95.47, 95.62, 95.63, 95.93, 96.06, 96.17, 96.25, 96.41, 96.76, 97.07, 97.3, 97.33, 97.46] 2021-02-05 00:22:38.767: INFO @evaluate_confidence: Dropped ratios are: [19.92, 20.95, 21.95, 22.96, 23.71, 24.81, 25.46, 26.57, 27.72, 28.6, 29.65, 30.73, 31.79, 32.79, 33.99, 35.02, 35.83, 37.08, 38.46, 39.61, 40.92, 42.3, 43.58, 44.78] 2021-02-05 00:22:38.769: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:22:38.769: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:22:38.769: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:22:38.769: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:22:38.851: INFO @evaluate_confidence: Previous accuracy would be: 45.06 2021-02-05 00:22:38.851: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:22:38.852: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.27, 58.25, 58.78, 58.88, 59.76, 60.45, 61.85, 62.96, 63.68] 2021-02-05 00:22:38.852: INFO @evaluate_confidence: Dropped ratios are: [50.85, 54.39, 57.4, 60.04, 62.47, 64.6, 66.98, 69.32, 71.4] 2021-02-05 00:22:38.861: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:22:39.217: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:22:39.270: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:22:39.534: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:22:39.686: INFO @decay_lr : LR updated to `8.31437e-05` 2021-02-05 00:22:39.687: INFO @log_profile : T train: 12.891446 2021-02-05 00:22:39.687: INFO @log_profile : T valid: 1.639444 2021-02-05 00:22:39.687: INFO @log_profile : T read data: 0.387720 2021-02-05 00:22:39.687: INFO @log_profile : T hooks: 4.454634 2021-02-05 00:22:39.688: INFO @main_loop : Epoch 256 done 2021-02-05 00:22:39.688: INFO @main_loop : Training epoch 257 2021-02-05 00:22:55.260: INFO @log_variables: train loss nanmean: 1.209012 2021-02-05 00:22:55.260: INFO @log_variables: train age_loss mean: 9.077399 2021-02-05 00:22:55.260: INFO @log_variables: train gender_loss mean: 0.281911 2021-02-05 00:22:55.260: INFO @log_variables: train age_mae mean: 8.507952 2021-02-05 00:22:55.260: INFO @log_variables: train gender_accuracy mean: 0.880713 2021-02-05 00:22:55.260: INFO @log_variables: train gender_confidence/loss nanmean: 0.069660 2021-02-05 00:22:55.260: INFO @log_variables: train gender_confidence/accuracy mean: 0.780546 2021-02-05 00:22:55.260: INFO @log_variables: train age_confidence/loss mean: 0.057852 2021-02-05 00:22:55.261: INFO @log_variables: train age_confidence/accuracy mean: 0.666401 2021-02-05 00:22:55.261: INFO @log_variables: valid loss nanmean: 1.214495 2021-02-05 00:22:55.261: INFO @log_variables: valid age_loss mean: 9.034484 2021-02-05 00:22:55.261: INFO @log_variables: valid gender_loss mean: 0.282045 2021-02-05 00:22:55.261: INFO @log_variables: valid age_mae mean: 8.448907 2021-02-05 00:22:55.261: INFO @log_variables: valid gender_accuracy mean: 0.887857 2021-02-05 00:22:55.261: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074079 2021-02-05 00:22:55.261: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837682 2021-02-05 00:22:55.261: INFO @log_variables: valid age_confidence/loss mean: 0.062694 2021-02-05 00:22:55.261: INFO @log_variables: valid age_confidence/accuracy mean: 0.632464 2021-02-05 00:22:55.261: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:22:55.263: INFO @metrics_hook: train age_mae: 8.508 +-0.146 (13807) 2021-02-05 00:22:55.264: INFO @metrics_hook: train gender_accuracy: 0.881 +-0.006 (13807) 2021-02-05 00:22:56.631: INFO @metrics_hook: valid age_mae: 8.449 +-0.269 (3986) 2021-02-05 00:22:56.632: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:22:57.942: INFO @decay_lr : LR updated to `8.272798e-05` 2021-02-05 00:22:58.130: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:22:58.132: INFO @log_profile : T train: 12.845268 2021-02-05 00:22:58.132: INFO @log_profile : T valid: 1.597316 2021-02-05 00:22:58.132: INFO @log_profile : T read data: 0.489176 2021-02-05 00:22:58.132: INFO @log_profile : T hooks: 3.463665 2021-02-05 00:22:58.132: INFO @main_loop : Epoch 257 done 2021-02-05 00:22:58.132: INFO @main_loop : Training epoch 258 2021-02-05 00:23:13.068: INFO @log_variables: train loss nanmean: 1.206837 2021-02-05 00:23:13.068: INFO @log_variables: train age_loss mean: 9.141512 2021-02-05 00:23:13.068: INFO @log_variables: train gender_loss mean: 0.273666 2021-02-05 00:23:13.068: INFO @log_variables: train age_mae mean: 8.573577 2021-02-05 00:23:13.068: INFO @log_variables: train gender_accuracy mean: 0.883608 2021-02-05 00:23:13.068: INFO @log_variables: train gender_confidence/loss nanmean: 0.068610 2021-02-05 00:23:13.068: INFO @log_variables: train gender_confidence/accuracy mean: 0.784144 2021-02-05 00:23:13.068: INFO @log_variables: train age_confidence/loss mean: 0.058394 2021-02-05 00:23:13.068: INFO @log_variables: train age_confidence/accuracy mean: 0.669271 2021-02-05 00:23:13.068: INFO @log_variables: valid loss nanmean: 1.220049 2021-02-05 00:23:13.068: INFO @log_variables: valid age_loss mean: 9.137119 2021-02-05 00:23:13.068: INFO @log_variables: valid gender_loss mean: 0.279669 2021-02-05 00:23:13.068: INFO @log_variables: valid age_mae mean: 8.550854 2021-02-05 00:23:13.068: INFO @log_variables: valid gender_accuracy mean: 0.888359 2021-02-05 00:23:13.068: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072450 2021-02-05 00:23:13.069: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842198 2021-02-05 00:23:13.069: INFO @log_variables: valid age_confidence/loss mean: 0.062707 2021-02-05 00:23:13.069: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:23:13.069: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:23:13.070: INFO @metrics_hook: train age_mae: 8.574 +-0.149 (13824) 2021-02-05 00:23:13.072: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13824) 2021-02-05 00:23:14.454: INFO @metrics_hook: valid age_mae: 8.551 +-0.275 (3986) 2021-02-05 00:23:14.454: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:23:15.676: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:23:15.676: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:23:15.676: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:23:15.677: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:23:15.752: INFO @evaluate_confidence: Previous accuracy would be: 88.36 2021-02-05 00:23:15.752: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:23:15.757: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.82, 93.98, 94.23, 94.47, 94.53, 94.75, 94.88, 95.06, 95.25, 95.44, 95.65, 95.87, 95.99, 96.21, 96.31, 96.44, 96.59, 96.7, 96.91, 97.08, 97.24, 97.38, 97.47, 97.59, 97.71, 97.81] 2021-02-05 00:23:15.757: INFO @evaluate_confidence: Dropped ratios are: [21.83, 23.08, 24.08, 25.12, 26.15, 27.18, 28.35, 29.52, 30.53, 31.5, 32.69, 33.72, 34.84, 35.75, 36.81, 37.78, 38.89, 40.04, 41.07, 42.19, 43.24, 44.36, 45.44, 46.56, 47.67, 48.81, 49.77] 2021-02-05 00:23:15.763: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:23:15.764: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.22 2021-02-05 00:23:15.764: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:23:15.764: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.19 2021-02-05 00:23:15.854: INFO @evaluate_confidence: Previous accuracy would be: 45.04 2021-02-05 00:23:15.854: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:23:15.858: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.33, 60.53, 61.47, 62.67, 63.98, 65.26, 66.11, 67.03, 67.97, 69.11, 70.13, 71.26, 72.02, 72.69, 73.79] 2021-02-05 00:23:15.858: INFO @evaluate_confidence: Dropped ratios are: [49.91, 52.39, 54.85, 57.29, 59.38, 61.48, 63.35, 65.18, 66.91, 68.69, 70.19, 71.58, 72.83, 74.04, 75.19] 2021-02-05 00:23:15.859: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:23:15.859: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:23:15.859: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.18 2021-02-05 00:23:15.860: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:23:15.933: INFO @evaluate_confidence: Previous accuracy would be: 88.84 2021-02-05 00:23:15.933: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:23:15.935: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.35, 93.46, 93.6, 93.88, 94.13, 94.41, 94.62, 94.79, 94.9, 95.01, 95.26, 95.44, 95.64, 95.82, 96.16, 96.37, 96.73, 96.79, 96.89, 97.04, 97.11, 97.35, 97.39, 97.44, 97.6] 2021-02-05 00:23:15.935: INFO @evaluate_confidence: Dropped ratios are: [19.24, 20.2, 21.2, 22.13, 23.13, 24.21, 24.99, 25.87, 26.74, 27.55, 28.52, 29.53, 30.98, 32.21, 33.29, 34.27, 35.47, 36.65, 37.88, 39.01, 40.07, 41.39, 42.3, 43.23, 44.56] 2021-02-05 00:23:15.937: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:23:15.937: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.51 +- 0.19 2021-02-05 00:23:15.937: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:23:15.937: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:23:16.021: INFO @evaluate_confidence: Previous accuracy would be: 43.55 2021-02-05 00:23:16.022: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:23:16.023: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.97, 57.3, 58.08, 59.32, 60.1, 59.94, 60.84, 62.16, 62.63, 63.86] 2021-02-05 00:23:16.023: INFO @evaluate_confidence: Dropped ratios are: [53.39, 56.35, 59.31, 62.19, 64.22, 66.81, 68.99, 71.02, 72.68, 74.39] 2021-02-05 00:23:16.032: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:23:16.424: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:16.488: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:23:16.764: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:16.919: INFO @decay_lr : LR updated to `8.231434e-05` 2021-02-05 00:23:17.132: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:23:17.135: INFO @log_profile : T train: 12.585776 2021-02-05 00:23:17.135: INFO @log_profile : T valid: 1.328471 2021-02-05 00:23:17.135: INFO @log_profile : T read data: 0.410878 2021-02-05 00:23:17.135: INFO @log_profile : T hooks: 4.633658 2021-02-05 00:23:17.135: INFO @main_loop : Epoch 258 done 2021-02-05 00:23:17.135: INFO @main_loop : Training epoch 259 2021-02-05 00:23:32.793: INFO @log_variables: train loss nanmean: 1.187551 2021-02-05 00:23:32.793: INFO @log_variables: train age_loss mean: 8.915295 2021-02-05 00:23:32.793: INFO @log_variables: train gender_loss mean: 0.273085 2021-02-05 00:23:32.793: INFO @log_variables: train age_mae mean: 8.349962 2021-02-05 00:23:32.793: INFO @log_variables: train gender_accuracy mean: 0.883464 2021-02-05 00:23:32.793: INFO @log_variables: train gender_confidence/loss nanmean: 0.069224 2021-02-05 00:23:32.793: INFO @log_variables: train gender_confidence/accuracy mean: 0.780310 2021-02-05 00:23:32.793: INFO @log_variables: train age_confidence/loss mean: 0.059587 2021-02-05 00:23:32.793: INFO @log_variables: train age_confidence/accuracy mean: 0.659288 2021-02-05 00:23:32.793: INFO @log_variables: valid loss nanmean: 1.223675 2021-02-05 00:23:32.793: INFO @log_variables: valid age_loss mean: 9.139759 2021-02-05 00:23:32.794: INFO @log_variables: valid gender_loss mean: 0.279734 2021-02-05 00:23:32.794: INFO @log_variables: valid age_mae mean: 8.555891 2021-02-05 00:23:32.794: INFO @log_variables: valid gender_accuracy mean: 0.882589 2021-02-05 00:23:32.794: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074413 2021-02-05 00:23:32.794: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840442 2021-02-05 00:23:32.794: INFO @log_variables: valid age_confidence/loss mean: 0.064071 2021-02-05 00:23:32.794: INFO @log_variables: valid age_confidence/accuracy mean: 0.627697 2021-02-05 00:23:32.794: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:23:32.796: INFO @metrics_hook: train age_mae: 8.350 +-0.145 (13824) 2021-02-05 00:23:32.797: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13824) 2021-02-05 00:23:34.197: INFO @metrics_hook: valid age_mae: 8.556 +-0.277 (3986) 2021-02-05 00:23:34.198: INFO @metrics_hook: valid gender_accuracy: 0.883 +-0.010 (3986) 2021-02-05 00:23:35.528: INFO @decay_lr : LR updated to `8.190277e-05` 2021-02-05 00:23:35.529: INFO @log_profile : T train: 12.976374 2021-02-05 00:23:35.529: INFO @log_profile : T valid: 1.622215 2021-02-05 00:23:35.529: INFO @log_profile : T read data: 0.398874 2021-02-05 00:23:35.529: INFO @log_profile : T hooks: 3.346990 2021-02-05 00:23:35.529: INFO @main_loop : Epoch 259 done 2021-02-05 00:23:35.529: INFO @main_loop : Training epoch 260 2021-02-05 00:23:51.739: INFO @log_variables: train loss nanmean: 1.191254 2021-02-05 00:23:51.739: INFO @log_variables: train age_loss mean: 9.046152 2021-02-05 00:23:51.739: INFO @log_variables: train gender_loss mean: 0.265498 2021-02-05 00:23:51.739: INFO @log_variables: train age_mae mean: 8.477917 2021-02-05 00:23:51.739: INFO @log_variables: train gender_accuracy mean: 0.888535 2021-02-05 00:23:51.740: INFO @log_variables: train gender_confidence/loss nanmean: 0.068302 2021-02-05 00:23:51.740: INFO @log_variables: train gender_confidence/accuracy mean: 0.787934 2021-02-05 00:23:51.740: INFO @log_variables: train age_confidence/loss mean: 0.059212 2021-02-05 00:23:51.740: INFO @log_variables: train age_confidence/accuracy mean: 0.660172 2021-02-05 00:23:51.740: INFO @log_variables: valid loss nanmean: 1.222117 2021-02-05 00:23:51.740: INFO @log_variables: valid age_loss mean: 9.101038 2021-02-05 00:23:51.740: INFO @log_variables: valid gender_loss mean: 0.282381 2021-02-05 00:23:51.740: INFO @log_variables: valid age_mae mean: 8.515790 2021-02-05 00:23:51.740: INFO @log_variables: valid gender_accuracy mean: 0.888359 2021-02-05 00:23:51.740: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074841 2021-02-05 00:23:51.740: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846964 2021-02-05 00:23:51.740: INFO @log_variables: valid age_confidence/loss mean: 0.063199 2021-02-05 00:23:51.740: INFO @log_variables: valid age_confidence/accuracy mean: 0.622178 2021-02-05 00:23:51.740: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:23:51.742: INFO @metrics_hook: train age_mae: 8.478 +-0.147 (13807) 2021-02-05 00:23:51.743: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13807) 2021-02-05 00:23:53.110: INFO @metrics_hook: valid age_mae: 8.516 +-0.277 (3986) 2021-02-05 00:23:53.110: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:23:54.318: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:23:54.319: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:23:54.319: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:23:54.319: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:23:54.391: INFO @evaluate_confidence: Previous accuracy would be: 88.85 2021-02-05 00:23:54.391: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:23:54.397: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.83, 93.97, 94.22, 94.39, 94.57, 94.78, 94.93, 95.04, 95.2, 95.3, 95.42, 95.72, 95.88, 96.1, 96.28, 96.47, 96.52, 96.66, 96.85, 96.92, 97.02, 97.21, 97.33, 97.45, 97.54, 97.7, 97.85] 2021-02-05 00:23:54.397: INFO @evaluate_confidence: Dropped ratios are: [21.6, 22.48, 23.5, 24.68, 25.57, 26.64, 27.64, 28.78, 29.91, 31.14, 32.19, 33.35, 34.48, 35.63, 36.58, 37.77, 38.79, 39.7, 40.7, 41.61, 42.57, 43.75, 44.64, 45.81, 46.74, 47.79, 48.9] 2021-02-05 00:23:54.402: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:23:54.402: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:23:54.402: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:23:54.403: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:23:54.494: INFO @evaluate_confidence: Previous accuracy would be: 45.22 2021-02-05 00:23:54.494: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:23:54.497: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.99, 58.94, 60.11, 61.15, 62.42, 63.43, 64.22, 65.38, 66.68, 67.96, 69.13, 69.97, 71.23, 72.39] 2021-02-05 00:23:54.497: INFO @evaluate_confidence: Dropped ratios are: [49.0, 51.84, 54.39, 56.86, 59.37, 61.5, 63.56, 65.21, 66.96, 68.71, 70.3, 71.73, 73.17, 74.5] 2021-02-05 00:23:54.499: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:23:54.499: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:23:54.499: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:23:54.499: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:23:54.568: INFO @evaluate_confidence: Previous accuracy would be: 88.84 2021-02-05 00:23:54.569: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:23:54.570: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.49, 93.76, 94.13, 94.5, 94.77, 94.94, 95.01, 95.12, 95.28, 95.48, 95.7, 95.81, 95.86, 96.0, 96.02, 96.33, 96.39, 96.48, 96.66, 96.8, 96.96, 97.11, 97.32, 97.56, 97.51] 2021-02-05 00:23:54.570: INFO @evaluate_confidence: Dropped ratios are: [19.52, 20.35, 21.37, 22.4, 23.23, 24.16, 25.14, 26.02, 27.2, 27.92, 28.9, 29.95, 30.91, 32.34, 33.17, 34.32, 35.42, 36.63, 37.66, 38.81, 39.76, 40.94, 42.0, 43.48, 44.51] 2021-02-05 00:23:54.572: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:23:54.572: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:23:54.572: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:23:54.572: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:23:54.651: INFO @evaluate_confidence: Previous accuracy would be: 45.03 2021-02-05 00:23:54.652: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:23:54.652: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.79, 56.71, 57.93, 59.27, 60.26, 60.78, 61.61, 61.83] 2021-02-05 00:23:54.652: INFO @evaluate_confidence: Dropped ratios are: [53.41, 56.42, 59.03, 62.12, 64.65, 66.73, 68.77, 70.62] 2021-02-05 00:23:54.662: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:23:55.021: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:55.082: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:23:55.358: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:55.415: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:23:55.783: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:55.842: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:23:55.843: INFO @evaluate_gender-age_model: groups 0 5.400384 1 8.942112 2 8.958575 3 8.433221 4 8.951892 5 9.450135 6 9.240214 7 7.990295 Name: errors, dtype: float64 2021-02-05 00:23:55.844: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:23:56.115: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:23:56.168: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:23:56.169: INFO @evaluate_gender-age_model: groups 0 6.662073 1 8.545169 2 8.645424 3 7.649976 4 9.051978 5 9.179207 6 9.209624 7 8.021342 Name: errors, dtype: float64 2021-02-05 00:23:56.264: INFO @decay_lr : LR updated to `8.149326e-05` 2021-02-05 00:23:56.265: INFO @log_profile : T train: 12.922673 2021-02-05 00:23:56.265: INFO @log_profile : T valid: 1.619323 2021-02-05 00:23:56.265: INFO @log_profile : T read data: 0.505847 2021-02-05 00:23:56.265: INFO @log_profile : T hooks: 5.641227 2021-02-05 00:23:56.265: INFO @main_loop : Epoch 260 done 2021-02-05 00:23:56.265: INFO @main_loop : Training epoch 261 2021-02-05 00:24:11.740: INFO @log_variables: train loss nanmean: 1.188584 2021-02-05 00:24:11.740: INFO @log_variables: train age_loss mean: 9.027039 2021-02-05 00:24:11.740: INFO @log_variables: train gender_loss mean: 0.264149 2021-02-05 00:24:11.740: INFO @log_variables: train age_mae mean: 8.462437 2021-02-05 00:24:11.740: INFO @log_variables: train gender_accuracy mean: 0.890553 2021-02-05 00:24:11.740: INFO @log_variables: train gender_confidence/loss nanmean: 0.069222 2021-02-05 00:24:11.740: INFO @log_variables: train gender_confidence/accuracy mean: 0.780527 2021-02-05 00:24:11.740: INFO @log_variables: train age_confidence/loss mean: 0.058587 2021-02-05 00:24:11.740: INFO @log_variables: train age_confidence/accuracy mean: 0.668041 2021-02-05 00:24:11.741: INFO @log_variables: valid loss nanmean: 1.219574 2021-02-05 00:24:11.741: INFO @log_variables: valid age_loss mean: 9.064917 2021-02-05 00:24:11.741: INFO @log_variables: valid gender_loss mean: 0.286935 2021-02-05 00:24:11.741: INFO @log_variables: valid age_mae mean: 8.482008 2021-02-05 00:24:11.741: INFO @log_variables: valid gender_accuracy mean: 0.884847 2021-02-05 00:24:11.741: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073443 2021-02-05 00:24:11.741: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837933 2021-02-05 00:24:11.741: INFO @log_variables: valid age_confidence/loss mean: 0.061198 2021-02-05 00:24:11.741: INFO @log_variables: valid age_confidence/accuracy mean: 0.637481 2021-02-05 00:24:11.741: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:24:11.743: INFO @metrics_hook: train age_mae: 8.462 +-0.145 (13824) 2021-02-05 00:24:11.744: INFO @metrics_hook: train gender_accuracy: 0.891 +-0.005 (13824) 2021-02-05 00:24:13.125: INFO @metrics_hook: valid age_mae: 8.482 +-0.269 (3986) 2021-02-05 00:24:13.126: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:24:14.437: INFO @decay_lr : LR updated to `8.108579e-05` 2021-02-05 00:24:14.438: INFO @log_profile : T train: 12.884231 2021-02-05 00:24:14.438: INFO @log_profile : T valid: 1.533936 2021-02-05 00:24:14.438: INFO @log_profile : T read data: 0.409107 2021-02-05 00:24:14.438: INFO @log_profile : T hooks: 3.295689 2021-02-05 00:24:14.438: INFO @main_loop : Epoch 261 done 2021-02-05 00:24:14.438: INFO @main_loop : Training epoch 262 2021-02-05 00:24:30.059: INFO @log_variables: train loss nanmean: 1.177871 2021-02-05 00:24:30.059: INFO @log_variables: train age_loss mean: 8.878921 2021-02-05 00:24:30.061: INFO @log_variables: train gender_loss mean: 0.266679 2021-02-05 00:24:30.061: INFO @log_variables: train age_mae mean: 8.315535 2021-02-05 00:24:30.061: INFO @log_variables: train gender_accuracy mean: 0.888093 2021-02-05 00:24:30.061: INFO @log_variables: train gender_confidence/loss nanmean: 0.068723 2021-02-05 00:24:30.061: INFO @log_variables: train gender_confidence/accuracy mean: 0.785518 2021-02-05 00:24:30.062: INFO @log_variables: train age_confidence/loss mean: 0.059538 2021-02-05 00:24:30.062: INFO @log_variables: train age_confidence/accuracy mean: 0.660012 2021-02-05 00:24:30.062: INFO @log_variables: valid loss nanmean: 1.224223 2021-02-05 00:24:30.062: INFO @log_variables: valid age_loss mean: 9.095756 2021-02-05 00:24:30.062: INFO @log_variables: valid gender_loss mean: 0.283999 2021-02-05 00:24:30.062: INFO @log_variables: valid age_mae mean: 8.512432 2021-02-05 00:24:30.062: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:24:30.062: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076309 2021-02-05 00:24:30.062: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837180 2021-02-05 00:24:30.062: INFO @log_variables: valid age_confidence/loss mean: 0.062847 2021-02-05 00:24:30.062: INFO @log_variables: valid age_confidence/accuracy mean: 0.628199 2021-02-05 00:24:30.062: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:24:30.064: INFO @metrics_hook: train age_mae: 8.316 +-0.145 (13824) 2021-02-05 00:24:30.065: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13824) 2021-02-05 00:24:31.461: INFO @metrics_hook: valid age_mae: 8.512 +-0.271 (3986) 2021-02-05 00:24:31.461: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:24:32.666: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:24:32.666: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:24:32.666: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:24:32.666: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:24:32.738: INFO @evaluate_confidence: Previous accuracy would be: 88.81 2021-02-05 00:24:32.738: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:24:32.744: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.86, 94.16, 94.31, 94.49, 94.74, 94.82, 94.99, 95.17, 95.28, 95.33, 95.44, 95.65, 95.81, 96.0, 96.25, 96.35, 96.45, 96.61, 96.81, 96.98, 97.03, 97.22, 97.31, 97.41, 97.53, 97.63, 97.7] 2021-02-05 00:24:32.744: INFO @evaluate_confidence: Dropped ratios are: [21.86, 22.92, 23.99, 25.1, 26.08, 27.1, 28.21, 29.39, 30.26, 31.23, 32.15, 33.25, 34.07, 35.16, 36.35, 37.4, 38.43, 39.33, 40.42, 41.58, 42.58, 43.76, 44.88, 46.12, 47.24, 48.34, 49.36] 2021-02-05 00:24:32.750: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:24:32.750: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:24:32.750: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:24:32.750: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:24:32.842: INFO @evaluate_confidence: Previous accuracy would be: 46.16 2021-02-05 00:24:32.842: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:24:32.845: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.87, 61.16, 62.32, 63.49, 64.76, 65.91, 67.19, 68.16, 68.94, 70.25, 71.44, 72.5, 73.42, 74.42] 2021-02-05 00:24:32.845: INFO @evaluate_confidence: Dropped ratios are: [50.5, 53.41, 56.02, 58.3, 60.57, 62.57, 64.55, 66.33, 67.93, 69.63, 71.07, 72.4, 73.84, 75.0] 2021-02-05 00:24:32.847: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:24:32.847: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:24:32.847: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.59 +- 0.18 2021-02-05 00:24:32.847: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:24:32.918: INFO @evaluate_confidence: Previous accuracy would be: 88.96 2021-02-05 00:24:32.918: INFO @evaluate_confidence: Possible optimal thresholds are: [0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:24:32.919: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.73, 93.96, 94.18, 94.33, 94.45, 94.69, 94.84, 95.15, 95.33, 95.63, 95.91, 96.11, 96.13, 96.26, 96.34, 96.44, 96.59, 96.77, 96.8, 96.94, 97.21, 97.23, 97.24, 97.26] 2021-02-05 00:24:32.919: INFO @evaluate_confidence: Dropped ratios are: [20.77, 21.85, 22.8, 23.48, 24.11, 24.94, 25.59, 27.07, 27.97, 28.88, 30.03, 30.98, 31.89, 32.97, 34.14, 35.2, 36.0, 37.0, 38.03, 39.41, 40.57, 42.0, 42.8, 44.13] 2021-02-05 00:24:32.921: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:24:32.921: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:24:32.921: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:24:32.921: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:24:33.001: INFO @evaluate_confidence: Previous accuracy would be: 43.30 2021-02-05 00:24:33.001: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:24:33.002: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.69, 56.33, 57.19, 58.27, 59.18, 59.27, 60.03, 60.84, 62.11] 2021-02-05 00:24:33.002: INFO @evaluate_confidence: Dropped ratios are: [54.77, 58.0, 60.56, 63.27, 65.58, 67.66, 69.49, 71.3, 72.65] 2021-02-05 00:24:33.011: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:24:33.371: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:24:33.427: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:24:33.689: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:24:33.842: INFO @decay_lr : LR updated to `8.068036e-05` 2021-02-05 00:24:34.034: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:24:34.036: INFO @log_profile : T train: 12.958267 2021-02-05 00:24:34.036: INFO @log_profile : T valid: 1.613680 2021-02-05 00:24:34.036: INFO @log_profile : T read data: 0.402164 2021-02-05 00:24:34.036: INFO @log_profile : T hooks: 4.575108 2021-02-05 00:24:34.036: INFO @main_loop : Epoch 262 done 2021-02-05 00:24:34.036: INFO @main_loop : Training epoch 263 2021-02-05 00:24:49.785: INFO @log_variables: train loss nanmean: 1.186925 2021-02-05 00:24:49.785: INFO @log_variables: train age_loss mean: 8.910978 2021-02-05 00:24:49.785: INFO @log_variables: train gender_loss mean: 0.274152 2021-02-05 00:24:49.786: INFO @log_variables: train age_mae mean: 8.348772 2021-02-05 00:24:49.786: INFO @log_variables: train gender_accuracy mean: 0.882451 2021-02-05 00:24:49.786: INFO @log_variables: train gender_confidence/loss nanmean: 0.068521 2021-02-05 00:24:49.786: INFO @log_variables: train gender_confidence/accuracy mean: 0.789599 2021-02-05 00:24:49.786: INFO @log_variables: train age_confidence/loss mean: 0.059086 2021-02-05 00:24:49.786: INFO @log_variables: train age_confidence/accuracy mean: 0.667270 2021-02-05 00:24:49.786: INFO @log_variables: valid loss nanmean: 1.225003 2021-02-05 00:24:49.786: INFO @log_variables: valid age_loss mean: 9.101337 2021-02-05 00:24:49.786: INFO @log_variables: valid gender_loss mean: 0.285360 2021-02-05 00:24:49.786: INFO @log_variables: valid age_mae mean: 8.521662 2021-02-05 00:24:49.786: INFO @log_variables: valid gender_accuracy mean: 0.885349 2021-02-05 00:24:49.786: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075663 2021-02-05 00:24:49.786: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837431 2021-02-05 00:24:49.786: INFO @log_variables: valid age_confidence/loss mean: 0.062528 2021-02-05 00:24:49.786: INFO @log_variables: valid age_confidence/accuracy mean: 0.631460 2021-02-05 00:24:49.786: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:24:49.788: INFO @metrics_hook: train age_mae: 8.349 +-0.145 (13807) 2021-02-05 00:24:49.790: INFO @metrics_hook: train gender_accuracy: 0.882 +-0.005 (13807) 2021-02-05 00:24:51.264: INFO @metrics_hook: valid age_mae: 8.522 +-0.270 (3986) 2021-02-05 00:24:51.264: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:24:52.588: INFO @decay_lr : LR updated to `8.027696e-05` 2021-02-05 00:24:52.589: INFO @log_profile : T train: 12.978092 2021-02-05 00:24:52.589: INFO @log_profile : T valid: 1.610942 2021-02-05 00:24:52.589: INFO @log_profile : T read data: 0.508865 2021-02-05 00:24:52.589: INFO @log_profile : T hooks: 3.404726 2021-02-05 00:24:52.589: INFO @main_loop : Epoch 263 done 2021-02-05 00:24:52.589: INFO @main_loop : Training epoch 264 2021-02-05 00:25:08.005: INFO @log_variables: train loss nanmean: 1.204041 2021-02-05 00:25:08.005: INFO @log_variables: train age_loss mean: 9.099767 2021-02-05 00:25:08.005: INFO @log_variables: train gender_loss mean: 0.275157 2021-02-05 00:25:08.005: INFO @log_variables: train age_mae mean: 8.530746 2021-02-05 00:25:08.005: INFO @log_variables: train gender_accuracy mean: 0.883030 2021-02-05 00:25:08.005: INFO @log_variables: train gender_confidence/loss nanmean: 0.068600 2021-02-05 00:25:08.005: INFO @log_variables: train gender_confidence/accuracy mean: 0.779586 2021-02-05 00:25:08.005: INFO @log_variables: train age_confidence/loss mean: 0.058046 2021-02-05 00:25:08.005: INFO @log_variables: train age_confidence/accuracy mean: 0.667752 2021-02-05 00:25:08.005: INFO @log_variables: valid loss nanmean: 1.229533 2021-02-05 00:25:08.005: INFO @log_variables: valid age_loss mean: 9.226451 2021-02-05 00:25:08.006: INFO @log_variables: valid gender_loss mean: 0.280297 2021-02-05 00:25:08.006: INFO @log_variables: valid age_mae mean: 8.635728 2021-02-05 00:25:08.006: INFO @log_variables: valid gender_accuracy mean: 0.888610 2021-02-05 00:25:08.006: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074218 2021-02-05 00:25:08.006: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833166 2021-02-05 00:25:08.006: INFO @log_variables: valid age_confidence/loss mean: 0.061730 2021-02-05 00:25:08.006: INFO @log_variables: valid age_confidence/accuracy mean: 0.628700 2021-02-05 00:25:08.006: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:25:08.008: INFO @metrics_hook: train age_mae: 8.531 +-0.147 (13824) 2021-02-05 00:25:08.009: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13824) 2021-02-05 00:25:09.416: INFO @metrics_hook: valid age_mae: 8.636 +-0.275 (3986) 2021-02-05 00:25:09.417: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:25:10.670: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:25:10.670: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:25:10.670: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.17 2021-02-05 00:25:10.670: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:25:10.744: INFO @evaluate_confidence: Previous accuracy would be: 88.30 2021-02-05 00:25:10.744: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:25:10.749: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.62, 93.83, 93.97, 94.13, 94.32, 94.53, 94.76, 94.96, 95.07, 95.23, 95.4, 95.58, 95.75, 95.97, 96.07, 96.11, 96.31, 96.5, 96.65, 96.84, 96.93, 97.14, 97.36, 97.45, 97.49, 97.68, 97.92] 2021-02-05 00:25:10.750: INFO @evaluate_confidence: Dropped ratios are: [22.55, 23.6, 24.65, 25.64, 26.48, 27.38, 28.39, 29.46, 30.4, 31.42, 32.44, 33.56, 34.64, 35.79, 36.79, 37.78, 38.72, 39.83, 40.89, 42.06, 43.16, 44.27, 45.37, 46.38, 47.51, 48.47, 49.68] 2021-02-05 00:25:10.756: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:25:10.756: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.21 2021-02-05 00:25:10.756: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:25:10.756: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:25:10.850: INFO @evaluate_confidence: Previous accuracy would be: 44.59 2021-02-05 00:25:10.850: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:25:10.854: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.77, 59.95, 61.24, 62.33, 63.41, 64.47, 65.56, 66.97, 68.2, 69.0, 70.35, 71.46, 72.47, 73.32] 2021-02-05 00:25:10.854: INFO @evaluate_confidence: Dropped ratios are: [49.68, 52.66, 55.22, 57.94, 60.5, 62.72, 64.61, 66.69, 68.58, 70.09, 71.56, 72.91, 74.25, 75.54] 2021-02-05 00:25:10.855: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:25:10.855: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:25:10.855: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:25:10.856: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:25:10.924: INFO @evaluate_confidence: Previous accuracy would be: 88.86 2021-02-05 00:25:10.925: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:25:10.926: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.59, 93.88, 94.09, 94.23, 94.52, 94.63, 94.74, 94.9, 95.24, 95.38, 95.54, 95.88, 95.95, 96.05, 96.16, 96.34, 96.67, 96.74, 96.93, 97.04, 97.11, 97.24, 97.41, 97.53] 2021-02-05 00:25:10.926: INFO @evaluate_confidence: Dropped ratios are: [20.5, 21.35, 22.28, 23.53, 24.89, 25.69, 26.62, 27.7, 28.78, 29.88, 30.83, 31.86, 33.09, 33.89, 34.72, 35.57, 36.8, 37.71, 38.74, 39.76, 40.89, 41.75, 42.95, 44.23] 2021-02-05 00:25:10.928: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:25:10.928: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:25:10.928: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:25:10.928: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:25:11.008: INFO @evaluate_confidence: Previous accuracy would be: 42.98 2021-02-05 00:25:11.009: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:25:11.010: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.86, 55.01, 56.12, 57.64, 58.5, 59.25, 59.64, 59.9, 60.39, 62.09] 2021-02-05 00:25:11.010: INFO @evaluate_confidence: Dropped ratios are: [51.88, 55.72, 58.78, 61.44, 63.97, 66.38, 68.36, 70.1, 71.88, 73.53] 2021-02-05 00:25:11.019: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:25:11.376: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:25:11.435: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:25:11.700: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:25:11.853: INFO @decay_lr : LR updated to `7.987557e-05` 2021-02-05 00:25:11.854: INFO @log_profile : T train: 12.769624 2021-02-05 00:25:11.855: INFO @log_profile : T valid: 1.611604 2021-02-05 00:25:11.855: INFO @log_profile : T read data: 0.397414 2021-02-05 00:25:11.855: INFO @log_profile : T hooks: 4.437862 2021-02-05 00:25:11.855: INFO @main_loop : Epoch 264 done 2021-02-05 00:25:11.855: INFO @main_loop : Training epoch 265 2021-02-05 00:25:27.428: INFO @log_variables: train loss nanmean: 1.192881 2021-02-05 00:25:27.428: INFO @log_variables: train age_loss mean: 8.942726 2021-02-05 00:25:27.428: INFO @log_variables: train gender_loss mean: 0.277123 2021-02-05 00:25:27.428: INFO @log_variables: train age_mae mean: 8.379396 2021-02-05 00:25:27.428: INFO @log_variables: train gender_accuracy mean: 0.882885 2021-02-05 00:25:27.428: INFO @log_variables: train gender_confidence/loss nanmean: 0.068770 2021-02-05 00:25:27.428: INFO @log_variables: train gender_confidence/accuracy mean: 0.781829 2021-02-05 00:25:27.428: INFO @log_variables: train age_confidence/loss mean: 0.059206 2021-02-05 00:25:27.428: INFO @log_variables: train age_confidence/accuracy mean: 0.661386 2021-02-05 00:25:27.428: INFO @log_variables: valid loss nanmean: 1.210785 2021-02-05 00:25:27.428: INFO @log_variables: valid age_loss mean: 8.993920 2021-02-05 00:25:27.428: INFO @log_variables: valid gender_loss mean: 0.282664 2021-02-05 00:25:27.428: INFO @log_variables: valid age_mae mean: 8.414615 2021-02-05 00:25:27.428: INFO @log_variables: valid gender_accuracy mean: 0.886101 2021-02-05 00:25:27.428: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073950 2021-02-05 00:25:27.428: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835424 2021-02-05 00:25:27.429: INFO @log_variables: valid age_confidence/loss mean: 0.062239 2021-02-05 00:25:27.429: INFO @log_variables: valid age_confidence/accuracy mean: 0.634220 2021-02-05 00:25:27.429: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:25:27.430: INFO @metrics_hook: train age_mae: 8.379 +-0.146 (13824) 2021-02-05 00:25:27.432: INFO @metrics_hook: train gender_accuracy: 0.883 +-0.005 (13824) 2021-02-05 00:25:28.830: INFO @metrics_hook: valid age_mae: 8.415 +-0.268 (3986) 2021-02-05 00:25:28.830: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:25:30.169: INFO @decay_lr : LR updated to `7.9476195e-05` 2021-02-05 00:25:30.170: INFO @log_profile : T train: 12.903410 2021-02-05 00:25:30.170: INFO @log_profile : T valid: 1.633487 2021-02-05 00:25:30.170: INFO @log_profile : T read data: 0.398819 2021-02-05 00:25:30.170: INFO @log_profile : T hooks: 3.331399 2021-02-05 00:25:30.170: INFO @main_loop : Epoch 265 done 2021-02-05 00:25:30.170: INFO @main_loop : Training epoch 266 2021-02-05 00:25:45.720: INFO @log_variables: train loss nanmean: 1.175082 2021-02-05 00:25:45.720: INFO @log_variables: train age_loss mean: 8.845045 2021-02-05 00:25:45.720: INFO @log_variables: train gender_loss mean: 0.267615 2021-02-05 00:25:45.720: INFO @log_variables: train age_mae mean: 8.286660 2021-02-05 00:25:45.720: INFO @log_variables: train gender_accuracy mean: 0.886290 2021-02-05 00:25:45.720: INFO @log_variables: train gender_confidence/loss nanmean: 0.068651 2021-02-05 00:25:45.720: INFO @log_variables: train gender_confidence/accuracy mean: 0.782719 2021-02-05 00:25:45.721: INFO @log_variables: train age_confidence/loss mean: 0.059050 2021-02-05 00:25:45.721: INFO @log_variables: train age_confidence/accuracy mean: 0.663432 2021-02-05 00:25:45.721: INFO @log_variables: valid loss nanmean: 1.220518 2021-02-05 00:25:45.721: INFO @log_variables: valid age_loss mean: 9.087367 2021-02-05 00:25:45.721: INFO @log_variables: valid gender_loss mean: 0.285030 2021-02-05 00:25:45.721: INFO @log_variables: valid age_mae mean: 8.504578 2021-02-05 00:25:45.721: INFO @log_variables: valid gender_accuracy mean: 0.885850 2021-02-05 00:25:45.721: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073585 2021-02-05 00:25:45.721: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841947 2021-02-05 00:25:45.721: INFO @log_variables: valid age_confidence/loss mean: 0.061690 2021-02-05 00:25:45.721: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:25:45.721: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:25:45.723: INFO @metrics_hook: train age_mae: 8.287 +-0.143 (13807) 2021-02-05 00:25:45.725: INFO @metrics_hook: train gender_accuracy: 0.886 +-0.005 (13807) 2021-02-05 00:25:47.146: INFO @metrics_hook: valid age_mae: 8.505 +-0.272 (3986) 2021-02-05 00:25:47.146: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:25:48.385: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:25:48.385: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:25:48.385: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:25:48.385: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:25:48.459: INFO @evaluate_confidence: Previous accuracy would be: 88.63 2021-02-05 00:25:48.459: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:25:48.465: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.74, 93.87, 94.1, 94.32, 94.56, 94.67, 94.95, 95.12, 95.36, 95.52, 95.63, 95.78, 96.01, 96.07, 96.23, 96.39, 96.59, 96.75, 96.84, 96.99, 97.08, 97.19, 97.24, 97.35, 97.4, 97.48, 97.62] 2021-02-05 00:25:48.465: INFO @evaluate_confidence: Dropped ratios are: [22.16, 23.14, 24.15, 25.02, 26.0, 26.96, 28.2, 29.22, 30.25, 31.11, 31.99, 33.03, 34.0, 34.9, 35.99, 36.89, 38.15, 39.23, 40.23, 41.27, 42.28, 43.38, 44.36, 45.43, 46.59, 47.62, 48.84] 2021-02-05 00:25:48.471: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:25:48.471: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:25:48.471: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:25:48.471: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:25:48.562: INFO @evaluate_confidence: Previous accuracy would be: 45.86 2021-02-05 00:25:48.562: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:25:48.566: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.21, 60.58, 61.68, 62.95, 64.08, 65.21, 66.29, 67.1, 68.14, 69.3, 70.31, 71.19, 72.22, 73.27, 74.2] 2021-02-05 00:25:48.566: INFO @evaluate_confidence: Dropped ratios are: [48.76, 51.92, 54.45, 56.78, 59.06, 61.14, 63.02, 64.91, 66.68, 68.39, 70.09, 71.44, 72.83, 74.21, 75.47] 2021-02-05 00:25:48.567: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:25:48.568: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:25:48.568: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:25:48.568: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:25:48.640: INFO @evaluate_confidence: Previous accuracy would be: 88.59 2021-02-05 00:25:48.640: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:25:48.642: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.44, 93.69, 93.95, 94.1, 94.27, 94.51, 94.74, 95.05, 95.38, 95.38, 95.5, 95.57, 95.93, 96.08, 96.2, 96.34, 96.47, 96.56, 96.6, 96.65, 96.74, 96.81, 96.95, 97.1, 97.26] 2021-02-05 00:25:48.642: INFO @evaluate_confidence: Dropped ratios are: [18.94, 19.74, 20.75, 21.73, 22.45, 23.26, 24.11, 25.06, 26.19, 27.17, 28.07, 28.7, 29.65, 30.81, 31.91, 32.89, 33.92, 35.05, 35.88, 37.08, 38.36, 39.36, 40.84, 42.05, 43.2] 2021-02-05 00:25:48.643: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:25:48.643: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:25:48.644: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:25:48.644: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:25:48.725: INFO @evaluate_confidence: Previous accuracy would be: 44.36 2021-02-05 00:25:48.726: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:25:48.727: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.45, 58.05, 58.93, 59.53, 60.29, 60.77, 61.88, 62.65, 63.63] 2021-02-05 00:25:48.727: INFO @evaluate_confidence: Dropped ratios are: [52.83, 55.75, 58.83, 61.57, 64.05, 65.98, 68.21, 70.65, 72.2] 2021-02-05 00:25:48.736: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:25:49.124: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:25:49.186: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:25:49.453: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:25:49.618: INFO @decay_lr : LR updated to `7.907881e-05` 2021-02-05 00:25:49.619: INFO @log_profile : T train: 12.812410 2021-02-05 00:25:49.619: INFO @log_profile : T valid: 1.615046 2021-02-05 00:25:49.619: INFO @log_profile : T read data: 0.484557 2021-02-05 00:25:49.619: INFO @log_profile : T hooks: 4.489107 2021-02-05 00:25:49.619: INFO @main_loop : Epoch 266 done 2021-02-05 00:25:49.619: INFO @main_loop : Training epoch 267 2021-02-05 00:26:05.160: INFO @log_variables: train loss nanmean: 1.185375 2021-02-05 00:26:05.160: INFO @log_variables: train age_loss mean: 8.966917 2021-02-05 00:26:05.160: INFO @log_variables: train gender_loss mean: 0.267245 2021-02-05 00:26:05.160: INFO @log_variables: train age_mae mean: 8.401015 2021-02-05 00:26:05.160: INFO @log_variables: train gender_accuracy mean: 0.886068 2021-02-05 00:26:05.160: INFO @log_variables: train gender_confidence/loss nanmean: 0.068746 2021-02-05 00:26:05.160: INFO @log_variables: train gender_confidence/accuracy mean: 0.783854 2021-02-05 00:26:05.160: INFO @log_variables: train age_confidence/loss mean: 0.058505 2021-02-05 00:26:05.160: INFO @log_variables: train age_confidence/accuracy mean: 0.667896 2021-02-05 00:26:05.160: INFO @log_variables: valid loss nanmean: 1.213609 2021-02-05 00:26:05.161: INFO @log_variables: valid age_loss mean: 9.054138 2021-02-05 00:26:05.161: INFO @log_variables: valid gender_loss mean: 0.279438 2021-02-05 00:26:05.161: INFO @log_variables: valid age_mae mean: 8.469113 2021-02-05 00:26:05.161: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:26:05.161: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073950 2021-02-05 00:26:05.161: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845459 2021-02-05 00:26:05.161: INFO @log_variables: valid age_confidence/loss mean: 0.062521 2021-02-05 00:26:05.161: INFO @log_variables: valid age_confidence/accuracy mean: 0.624937 2021-02-05 00:26:05.161: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:26:05.163: INFO @metrics_hook: train age_mae: 8.401 +-0.144 (13824) 2021-02-05 00:26:05.165: INFO @metrics_hook: train gender_accuracy: 0.886 +-0.005 (13824) 2021-02-05 00:26:06.595: INFO @metrics_hook: valid age_mae: 8.469 +-0.272 (3986) 2021-02-05 00:26:06.595: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:26:07.998: INFO @decay_lr : LR updated to `7.868341e-05` 2021-02-05 00:26:07.999: INFO @log_profile : T train: 13.006897 2021-02-05 00:26:07.999: INFO @log_profile : T valid: 1.494240 2021-02-05 00:26:07.999: INFO @log_profile : T read data: 0.398472 2021-02-05 00:26:07.999: INFO @log_profile : T hooks: 3.432268 2021-02-05 00:26:07.999: INFO @main_loop : Epoch 267 done 2021-02-05 00:26:07.999: INFO @main_loop : Training epoch 268 2021-02-05 00:26:23.552: INFO @log_variables: train loss nanmean: 1.198115 2021-02-05 00:26:23.552: INFO @log_variables: train age_loss mean: 9.067365 2021-02-05 00:26:23.552: INFO @log_variables: train gender_loss mean: 0.271814 2021-02-05 00:26:23.552: INFO @log_variables: train age_mae mean: 8.497881 2021-02-05 00:26:23.552: INFO @log_variables: train gender_accuracy mean: 0.884838 2021-02-05 00:26:23.552: INFO @log_variables: train gender_confidence/loss nanmean: 0.068463 2021-02-05 00:26:23.552: INFO @log_variables: train gender_confidence/accuracy mean: 0.787254 2021-02-05 00:26:23.552: INFO @log_variables: train age_confidence/loss mean: 0.058242 2021-02-05 00:26:23.552: INFO @log_variables: train age_confidence/accuracy mean: 0.671369 2021-02-05 00:26:23.552: INFO @log_variables: valid loss nanmean: 1.206566 2021-02-05 00:26:23.552: INFO @log_variables: valid age_loss mean: 9.013395 2021-02-05 00:26:23.553: INFO @log_variables: valid gender_loss mean: 0.277742 2021-02-05 00:26:23.553: INFO @log_variables: valid age_mae mean: 8.432825 2021-02-05 00:26:23.553: INFO @log_variables: valid gender_accuracy mean: 0.890868 2021-02-05 00:26:23.553: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071879 2021-02-05 00:26:23.553: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843954 2021-02-05 00:26:23.553: INFO @log_variables: valid age_confidence/loss mean: 0.062795 2021-02-05 00:26:23.553: INFO @log_variables: valid age_confidence/accuracy mean: 0.626693 2021-02-05 00:26:23.553: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:26:23.555: INFO @metrics_hook: train age_mae: 8.498 +-0.146 (13824) 2021-02-05 00:26:23.557: INFO @metrics_hook: train gender_accuracy: 0.885 +-0.005 (13824) 2021-02-05 00:26:25.021: INFO @metrics_hook: valid age_mae: 8.433 +-0.274 (3986) 2021-02-05 00:26:25.021: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:26:26.352: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:26:26.352: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:26:26.353: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:26:26.353: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:26:26.428: INFO @evaluate_confidence: Previous accuracy would be: 88.48 2021-02-05 00:26:26.428: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:26:26.433: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.68, 93.84, 93.98, 94.27, 94.44, 94.55, 94.64, 94.91, 95.1, 95.27, 95.45, 95.58, 95.78, 95.91, 96.05, 96.19, 96.34, 96.61, 96.76, 96.88, 96.99, 97.17, 97.32, 97.41, 97.57, 97.7, 97.76] 2021-02-05 00:26:26.434: INFO @evaluate_confidence: Dropped ratios are: [21.46, 22.54, 23.59, 24.69, 25.73, 26.77, 27.89, 28.88, 29.97, 31.05, 32.15, 33.14, 34.27, 35.23, 36.32, 37.32, 38.35, 39.33, 40.34, 41.3, 42.23, 43.32, 44.21, 45.29, 46.37, 47.37, 48.56] 2021-02-05 00:26:26.439: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:26:26.439: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.22 2021-02-05 00:26:26.440: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:26:26.440: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.19 2021-02-05 00:26:26.533: INFO @evaluate_confidence: Previous accuracy would be: 44.77 2021-02-05 00:26:26.533: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:26:26.537: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.28, 60.39, 61.73, 62.75, 64.13, 65.37, 66.55, 67.57, 68.46, 69.25, 70.12, 71.3, 72.07, 72.71, 73.6] 2021-02-05 00:26:26.537: INFO @evaluate_confidence: Dropped ratios are: [50.29, 53.01, 55.47, 58.02, 60.29, 62.48, 64.19, 65.92, 67.59, 69.07, 70.56, 71.98, 73.24, 74.37, 75.53] 2021-02-05 00:26:26.538: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:26:26.539: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:26:26.539: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:26:26.539: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:26:26.611: INFO @evaluate_confidence: Previous accuracy would be: 89.09 2021-02-05 00:26:26.612: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:26:26.613: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.95, 94.13, 94.39, 94.51, 94.68, 94.85, 94.95, 95.19, 95.38, 95.59, 95.85, 96.21, 96.37, 96.5, 96.59, 96.61, 96.71, 96.83, 96.93, 97.11, 97.13, 97.29, 97.36, 97.47, 97.5] 2021-02-05 00:26:26.613: INFO @evaluate_confidence: Dropped ratios are: [19.14, 20.02, 20.85, 21.93, 23.08, 23.98, 24.46, 25.46, 26.22, 27.12, 28.07, 29.2, 30.11, 31.23, 32.24, 33.34, 34.37, 35.2, 36.2, 37.58, 38.86, 39.86, 41.09, 42.37, 43.78] 2021-02-05 00:26:26.615: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:26:26.615: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:26:26.615: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:26:26.615: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:26:26.699: INFO @evaluate_confidence: Previous accuracy would be: 44.96 2021-02-05 00:26:26.699: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:26:26.701: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.35, 57.43, 59.06, 59.54, 60.16, 60.82, 61.59, 62.66, 63.52, 64.07] 2021-02-05 00:26:26.701: INFO @evaluate_confidence: Dropped ratios are: [51.2, 54.57, 57.78, 60.56, 63.1, 65.68, 68.06, 70.17, 71.8, 73.26] 2021-02-05 00:26:26.711: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:26:27.080: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:26:27.140: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:26:27.408: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:26:27.563: INFO @decay_lr : LR updated to `7.8289995e-05` 2021-02-05 00:26:27.778: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:26:27.780: INFO @log_profile : T train: 12.889562 2021-02-05 00:26:27.780: INFO @log_profile : T valid: 1.621469 2021-02-05 00:26:27.780: INFO @log_profile : T read data: 0.406074 2021-02-05 00:26:27.780: INFO @log_profile : T hooks: 4.815876 2021-02-05 00:26:27.780: INFO @main_loop : Epoch 268 done 2021-02-05 00:26:27.780: INFO @main_loop : Training epoch 269 2021-02-05 00:26:42.518: INFO @log_variables: train loss nanmean: 1.180309 2021-02-05 00:26:42.518: INFO @log_variables: train age_loss mean: 8.869287 2021-02-05 00:26:42.518: INFO @log_variables: train gender_loss mean: 0.269379 2021-02-05 00:26:42.518: INFO @log_variables: train age_mae mean: 8.303741 2021-02-05 00:26:42.518: INFO @log_variables: train gender_accuracy mean: 0.887376 2021-02-05 00:26:42.518: INFO @log_variables: train gender_confidence/loss nanmean: 0.069795 2021-02-05 00:26:42.518: INFO @log_variables: train gender_confidence/accuracy mean: 0.778011 2021-02-05 00:26:42.519: INFO @log_variables: train age_confidence/loss mean: 0.059326 2021-02-05 00:26:42.519: INFO @log_variables: train age_confidence/accuracy mean: 0.659014 2021-02-05 00:26:42.519: INFO @log_variables: valid loss nanmean: 1.215912 2021-02-05 00:26:42.519: INFO @log_variables: valid age_loss mean: 9.058489 2021-02-05 00:26:42.519: INFO @log_variables: valid gender_loss mean: 0.282228 2021-02-05 00:26:42.519: INFO @log_variables: valid age_mae mean: 8.475861 2021-02-05 00:26:42.519: INFO @log_variables: valid gender_accuracy mean: 0.884847 2021-02-05 00:26:42.519: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072187 2021-02-05 00:26:42.519: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845710 2021-02-05 00:26:42.519: INFO @log_variables: valid age_confidence/loss mean: 0.063655 2021-02-05 00:26:42.519: INFO @log_variables: valid age_confidence/accuracy mean: 0.620421 2021-02-05 00:26:42.519: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:26:42.521: INFO @metrics_hook: train age_mae: 8.304 +-0.145 (13807) 2021-02-05 00:26:42.523: INFO @metrics_hook: train gender_accuracy: 0.887 +-0.005 (13807) 2021-02-05 00:26:43.965: INFO @metrics_hook: valid age_mae: 8.476 +-0.275 (3986) 2021-02-05 00:26:43.966: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:26:45.298: INFO @decay_lr : LR updated to `7.789855e-05` 2021-02-05 00:26:45.299: INFO @log_profile : T train: 12.214097 2021-02-05 00:26:45.299: INFO @log_profile : T valid: 1.388310 2021-02-05 00:26:45.299: INFO @log_profile : T read data: 0.505446 2021-02-05 00:26:45.299: INFO @log_profile : T hooks: 3.365116 2021-02-05 00:26:45.299: INFO @main_loop : Epoch 269 done 2021-02-05 00:26:45.300: INFO @main_loop : Training epoch 270 2021-02-05 00:27:01.509: INFO @log_variables: train loss nanmean: 1.171254 2021-02-05 00:27:01.510: INFO @log_variables: train age_loss mean: 8.818948 2021-02-05 00:27:01.510: INFO @log_variables: train gender_loss mean: 0.266122 2021-02-05 00:27:01.510: INFO @log_variables: train age_mae mean: 8.259578 2021-02-05 00:27:01.510: INFO @log_variables: train gender_accuracy mean: 0.887949 2021-02-05 00:27:01.510: INFO @log_variables: train gender_confidence/loss nanmean: 0.068796 2021-02-05 00:27:01.510: INFO @log_variables: train gender_confidence/accuracy mean: 0.788701 2021-02-05 00:27:01.510: INFO @log_variables: train age_confidence/loss mean: 0.058807 2021-02-05 00:27:01.510: INFO @log_variables: train age_confidence/accuracy mean: 0.667173 2021-02-05 00:27:01.510: INFO @log_variables: valid loss nanmean: 1.213287 2021-02-05 00:27:01.510: INFO @log_variables: valid age_loss mean: 9.046132 2021-02-05 00:27:01.510: INFO @log_variables: valid gender_loss mean: 0.279829 2021-02-05 00:27:01.510: INFO @log_variables: valid age_mae mean: 8.461338 2021-02-05 00:27:01.510: INFO @log_variables: valid gender_accuracy mean: 0.888108 2021-02-05 00:27:01.510: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072279 2021-02-05 00:27:01.510: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847215 2021-02-05 00:27:01.510: INFO @log_variables: valid age_confidence/loss mean: 0.064242 2021-02-05 00:27:01.511: INFO @log_variables: valid age_confidence/accuracy mean: 0.624937 2021-02-05 00:27:01.511: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:27:01.512: INFO @metrics_hook: train age_mae: 8.260 +-0.142 (13824) 2021-02-05 00:27:01.514: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13824) 2021-02-05 00:27:02.940: INFO @metrics_hook: valid age_mae: 8.461 +-0.276 (3986) 2021-02-05 00:27:02.940: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:27:04.220: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:27:04.220: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:27:04.220: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:27:04.220: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:27:04.307: INFO @evaluate_confidence: Previous accuracy would be: 88.79 2021-02-05 00:27:04.307: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:27:04.314: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.87, 93.98, 94.17, 94.38, 94.49, 94.64, 94.79, 94.99, 95.15, 95.28, 95.48, 95.67, 95.92, 96.02, 96.16, 96.33, 96.48, 96.62, 96.76, 96.82, 96.91, 97.04, 97.16, 97.28, 97.44, 97.49, 97.59] 2021-02-05 00:27:04.314: INFO @evaluate_confidence: Dropped ratios are: [21.4, 22.29, 23.41, 24.51, 25.62, 26.69, 27.81, 28.83, 29.9, 30.91, 31.96, 33.04, 34.24, 35.37, 36.34, 37.34, 38.43, 39.4, 40.4, 41.45, 42.66, 43.74, 44.91, 46.01, 47.1, 48.14, 49.29] 2021-02-05 00:27:04.323: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:27:04.323: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:27:04.323: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:27:04.323: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:27:04.445: INFO @evaluate_confidence: Previous accuracy would be: 45.72 2021-02-05 00:27:04.445: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:27:04.449: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.14, 60.16, 61.24, 62.49, 63.59, 64.71, 65.76, 66.71, 68.0, 69.1, 70.25, 71.19, 72.11, 73.57, 74.52] 2021-02-05 00:27:04.449: INFO @evaluate_confidence: Dropped ratios are: [47.94, 50.81, 53.53, 55.93, 58.04, 60.34, 62.12, 64.04, 65.91, 67.43, 69.02, 70.52, 71.96, 73.31, 74.5] 2021-02-05 00:27:04.450: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:27:04.450: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:27:04.451: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.18 2021-02-05 00:27:04.451: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:27:04.530: INFO @evaluate_confidence: Previous accuracy would be: 88.81 2021-02-05 00:27:04.530: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:27:04.532: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.95, 94.05, 94.3, 94.6, 94.74, 94.93, 94.96, 95.1, 95.21, 95.4, 95.73, 95.95, 96.36, 96.45, 96.51, 96.54, 96.68, 96.82, 97.0, 97.07, 97.22, 97.25, 97.28, 97.36, 97.44] 2021-02-05 00:27:04.532: INFO @evaluate_confidence: Dropped ratios are: [19.57, 20.27, 21.15, 22.43, 23.28, 24.28, 25.26, 26.27, 27.22, 28.07, 28.98, 29.98, 31.16, 32.16, 33.19, 33.94, 35.05, 36.15, 37.26, 38.28, 39.49, 40.69, 41.9, 42.9, 44.08] 2021-02-05 00:27:04.534: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:27:04.534: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:27:04.534: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:27:04.534: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:27:04.632: INFO @evaluate_confidence: Previous accuracy would be: 44.63 2021-02-05 00:27:04.632: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:27:04.633: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.37, 56.64, 57.44, 58.79, 59.0, 60.15, 60.69, 61.8, 62.52, 62.92] 2021-02-05 00:27:04.633: INFO @evaluate_confidence: Dropped ratios are: [51.61, 55.39, 58.33, 61.04, 63.35, 66.01, 67.96, 69.92, 71.55, 72.8] 2021-02-05 00:27:04.645: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:27:05.039: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:05.107: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:27:05.420: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:05.485: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:27:05.875: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:05.942: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:27:05.943: INFO @evaluate_gender-age_model: groups 0 5.188329 1 8.940079 2 8.771162 3 8.124134 4 8.788637 5 9.185553 6 9.148158 7 7.581458 Name: errors, dtype: float64 2021-02-05 00:27:05.943: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:27:06.227: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:06.280: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:27:06.281: INFO @evaluate_gender-age_model: groups 0 5.748165 1 7.745311 2 8.089506 3 7.527131 4 9.089693 5 9.588970 6 9.941030 7 8.612891 Name: errors, dtype: float64 2021-02-05 00:27:06.381: INFO @decay_lr : LR updated to `7.750906e-05` 2021-02-05 00:27:06.382: INFO @log_profile : T train: 12.913268 2021-02-05 00:27:06.382: INFO @log_profile : T valid: 1.620055 2021-02-05 00:27:06.382: INFO @log_profile : T read data: 0.406976 2021-02-05 00:27:06.382: INFO @log_profile : T hooks: 6.093071 2021-02-05 00:27:06.382: INFO @main_loop : Epoch 270 done 2021-02-05 00:27:06.382: INFO @main_loop : Training epoch 271 2021-02-05 00:27:22.063: INFO @log_variables: train loss nanmean: 1.161765 2021-02-05 00:27:22.063: INFO @log_variables: train age_loss mean: 8.753192 2021-02-05 00:27:22.063: INFO @log_variables: train gender_loss mean: 0.261825 2021-02-05 00:27:22.063: INFO @log_variables: train age_mae mean: 8.193116 2021-02-05 00:27:22.063: INFO @log_variables: train gender_accuracy mean: 0.889034 2021-02-05 00:27:22.063: INFO @log_variables: train gender_confidence/loss nanmean: 0.068655 2021-02-05 00:27:22.063: INFO @log_variables: train gender_confidence/accuracy mean: 0.782624 2021-02-05 00:27:22.064: INFO @log_variables: train age_confidence/loss mean: 0.059343 2021-02-05 00:27:22.064: INFO @log_variables: train age_confidence/accuracy mean: 0.662616 2021-02-05 00:27:22.064: INFO @log_variables: valid loss nanmean: 1.212641 2021-02-05 00:27:22.064: INFO @log_variables: valid age_loss mean: 9.016896 2021-02-05 00:27:22.064: INFO @log_variables: valid gender_loss mean: 0.283180 2021-02-05 00:27:22.064: INFO @log_variables: valid age_mae mean: 8.437994 2021-02-05 00:27:22.064: INFO @log_variables: valid gender_accuracy mean: 0.884345 2021-02-05 00:27:22.064: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072003 2021-02-05 00:27:22.064: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847466 2021-02-05 00:27:22.064: INFO @log_variables: valid age_confidence/loss mean: 0.063485 2021-02-05 00:27:22.064: INFO @log_variables: valid age_confidence/accuracy mean: 0.631209 2021-02-05 00:27:22.064: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:27:22.066: INFO @metrics_hook: train age_mae: 8.193 +-0.141 (13824) 2021-02-05 00:27:22.067: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:27:23.485: INFO @metrics_hook: valid age_mae: 8.438 +-0.271 (3986) 2021-02-05 00:27:23.486: INFO @metrics_hook: valid gender_accuracy: 0.884 +-0.010 (3986) 2021-02-05 00:27:24.860: INFO @decay_lr : LR updated to `7.712151e-05` 2021-02-05 00:27:24.861: INFO @log_profile : T train: 13.021309 2021-02-05 00:27:24.861: INFO @log_profile : T valid: 1.603980 2021-02-05 00:27:24.861: INFO @log_profile : T read data: 0.404007 2021-02-05 00:27:24.861: INFO @log_profile : T hooks: 3.399536 2021-02-05 00:27:24.861: INFO @main_loop : Epoch 271 done 2021-02-05 00:27:24.861: INFO @main_loop : Training epoch 272 2021-02-05 00:27:40.430: INFO @log_variables: train loss nanmean: 1.170926 2021-02-05 00:27:40.430: INFO @log_variables: train age_loss mean: 8.820877 2021-02-05 00:27:40.430: INFO @log_variables: train gender_loss mean: 0.265467 2021-02-05 00:27:40.430: INFO @log_variables: train age_mae mean: 8.260164 2021-02-05 00:27:40.430: INFO @log_variables: train gender_accuracy mean: 0.888028 2021-02-05 00:27:40.430: INFO @log_variables: train gender_confidence/loss nanmean: 0.068845 2021-02-05 00:27:40.430: INFO @log_variables: train gender_confidence/accuracy mean: 0.779894 2021-02-05 00:27:40.430: INFO @log_variables: train age_confidence/loss mean: 0.058849 2021-02-05 00:27:40.430: INFO @log_variables: train age_confidence/accuracy mean: 0.664083 2021-02-05 00:27:40.431: INFO @log_variables: valid loss nanmean: 1.217061 2021-02-05 00:27:40.431: INFO @log_variables: valid age_loss mean: 9.063421 2021-02-05 00:27:40.431: INFO @log_variables: valid gender_loss mean: 0.281521 2021-02-05 00:27:40.431: INFO @log_variables: valid age_mae mean: 8.478572 2021-02-05 00:27:40.431: INFO @log_variables: valid gender_accuracy mean: 0.885349 2021-02-05 00:27:40.431: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074084 2021-02-05 00:27:40.431: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843201 2021-02-05 00:27:40.431: INFO @log_variables: valid age_confidence/loss mean: 0.063102 2021-02-05 00:27:40.431: INFO @log_variables: valid age_confidence/accuracy mean: 0.629955 2021-02-05 00:27:40.431: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:27:40.433: INFO @metrics_hook: train age_mae: 8.260 +-0.141 (13807) 2021-02-05 00:27:40.434: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13807) 2021-02-05 00:27:41.872: INFO @metrics_hook: valid age_mae: 8.479 +-0.270 (3986) 2021-02-05 00:27:41.873: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:27:43.114: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:27:43.114: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:27:43.114: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:27:43.114: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:27:43.189: INFO @evaluate_confidence: Previous accuracy would be: 88.80 2021-02-05 00:27:43.189: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:27:43.194: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.65, 93.83, 94.0, 94.22, 94.4, 94.58, 94.78, 95.04, 95.17, 95.34, 95.46, 95.69, 95.88, 96.05, 96.18, 96.35, 96.51, 96.61, 96.74, 96.91, 97.06, 97.24, 97.36, 97.48, 97.58, 97.7, 97.77] 2021-02-05 00:27:43.194: INFO @evaluate_confidence: Dropped ratios are: [21.84, 22.93, 24.1, 25.13, 26.15, 27.08, 28.15, 29.22, 30.21, 31.14, 32.17, 33.26, 34.32, 35.32, 36.31, 37.37, 38.37, 39.49, 40.54, 41.56, 42.59, 43.66, 44.64, 45.64, 46.64, 47.72, 48.9] 2021-02-05 00:27:43.200: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:27:43.200: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:27:43.200: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:27:43.201: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:27:43.295: INFO @evaluate_confidence: Previous accuracy would be: 45.71 2021-02-05 00:27:43.295: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:27:43.299: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.23, 60.48, 61.56, 62.58, 63.66, 64.62, 65.47, 66.45, 67.72, 68.84, 70.0, 70.7, 71.76, 72.44, 73.39] 2021-02-05 00:27:43.299: INFO @evaluate_confidence: Dropped ratios are: [48.22, 51.03, 53.73, 56.22, 58.46, 60.63, 62.62, 64.45, 66.14, 67.85, 69.49, 70.88, 72.2, 73.59, 75.04] 2021-02-05 00:27:43.301: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:27:43.301: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:27:43.301: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:27:43.301: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:27:43.373: INFO @evaluate_confidence: Previous accuracy would be: 88.53 2021-02-05 00:27:43.373: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:27:43.375: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.58, 93.81, 93.99, 94.14, 94.61, 94.68, 94.81, 95.11, 95.26, 95.44, 95.52, 95.69, 95.92, 95.95, 95.94, 96.0, 96.06, 96.13, 96.34, 96.55, 96.69, 96.91, 96.99, 97.1, 97.38] 2021-02-05 00:27:43.375: INFO @evaluate_confidence: Dropped ratios are: [18.72, 19.69, 20.62, 21.68, 22.75, 23.66, 24.59, 25.66, 26.37, 27.37, 28.37, 29.6, 30.43, 31.26, 32.01, 32.97, 33.79, 34.55, 35.55, 36.8, 37.88, 39.19, 40.07, 41.22, 42.55] 2021-02-05 00:27:43.376: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:27:43.376: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:27:43.376: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:27:43.376: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:27:43.461: INFO @evaluate_confidence: Previous accuracy would be: 44.48 2021-02-05 00:27:43.461: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:27:43.462: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.58, 55.33, 56.95, 58.57, 60.22, 60.96, 61.74, 62.87, 63.61] 2021-02-05 00:27:43.462: INFO @evaluate_confidence: Dropped ratios are: [50.73, 54.57, 57.93, 61.36, 64.17, 66.58, 68.92, 70.95, 72.91] 2021-02-05 00:27:43.472: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:27:43.842: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:43.896: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:27:44.168: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:27:44.325: INFO @decay_lr : LR updated to `7.67359e-05` 2021-02-05 00:27:44.326: INFO @log_profile : T train: 12.812935 2021-02-05 00:27:44.326: INFO @log_profile : T valid: 1.612790 2021-02-05 00:27:44.326: INFO @log_profile : T read data: 0.512502 2021-02-05 00:27:44.326: INFO @log_profile : T hooks: 4.478773 2021-02-05 00:27:44.326: INFO @main_loop : Epoch 272 done 2021-02-05 00:27:44.326: INFO @main_loop : Training epoch 273 2021-02-05 00:28:00.037: INFO @log_variables: train loss nanmean: 1.192269 2021-02-05 00:28:00.037: INFO @log_variables: train age_loss mean: 8.963072 2021-02-05 00:28:00.037: INFO @log_variables: train gender_loss mean: 0.274850 2021-02-05 00:28:00.037: INFO @log_variables: train age_mae mean: 8.398991 2021-02-05 00:28:00.037: INFO @log_variables: train gender_accuracy mean: 0.884838 2021-02-05 00:28:00.037: INFO @log_variables: train gender_confidence/loss nanmean: 0.069036 2021-02-05 00:28:00.037: INFO @log_variables: train gender_confidence/accuracy mean: 0.779369 2021-02-05 00:28:00.037: INFO @log_variables: train age_confidence/loss mean: 0.058544 2021-02-05 00:28:00.037: INFO @log_variables: train age_confidence/accuracy mean: 0.668909 2021-02-05 00:28:00.037: INFO @log_variables: valid loss nanmean: 1.213525 2021-02-05 00:28:00.037: INFO @log_variables: valid age_loss mean: 9.042308 2021-02-05 00:28:00.037: INFO @log_variables: valid gender_loss mean: 0.278150 2021-02-05 00:28:00.038: INFO @log_variables: valid age_mae mean: 8.456451 2021-02-05 00:28:00.038: INFO @log_variables: valid gender_accuracy mean: 0.886352 2021-02-05 00:28:00.038: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074340 2021-02-05 00:28:00.038: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846463 2021-02-05 00:28:00.038: INFO @log_variables: valid age_confidence/loss mean: 0.064294 2021-02-05 00:28:00.038: INFO @log_variables: valid age_confidence/accuracy mean: 0.625439 2021-02-05 00:28:00.038: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:28:00.040: INFO @metrics_hook: train age_mae: 8.399 +-0.146 (13824) 2021-02-05 00:28:00.041: INFO @metrics_hook: train gender_accuracy: 0.885 +-0.005 (13824) 2021-02-05 00:28:01.458: INFO @metrics_hook: valid age_mae: 8.456 +-0.275 (3986) 2021-02-05 00:28:01.458: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:28:02.814: INFO @decay_lr : LR updated to `7.635222e-05` 2021-02-05 00:28:02.815: INFO @log_profile : T train: 13.029312 2021-02-05 00:28:02.815: INFO @log_profile : T valid: 1.623637 2021-02-05 00:28:02.815: INFO @log_profile : T read data: 0.405096 2021-02-05 00:28:02.815: INFO @log_profile : T hooks: 3.381861 2021-02-05 00:28:02.815: INFO @main_loop : Epoch 273 done 2021-02-05 00:28:02.815: INFO @main_loop : Training epoch 274 2021-02-05 00:28:17.775: INFO @log_variables: train loss nanmean: 1.166393 2021-02-05 00:28:17.776: INFO @log_variables: train age_loss mean: 8.775901 2021-02-05 00:28:17.776: INFO @log_variables: train gender_loss mean: 0.264307 2021-02-05 00:28:17.776: INFO @log_variables: train age_mae mean: 8.216292 2021-02-05 00:28:17.776: INFO @log_variables: train gender_accuracy mean: 0.889974 2021-02-05 00:28:17.776: INFO @log_variables: train gender_confidence/loss nanmean: 0.069102 2021-02-05 00:28:17.776: INFO @log_variables: train gender_confidence/accuracy mean: 0.789569 2021-02-05 00:28:17.776: INFO @log_variables: train age_confidence/loss mean: 0.059202 2021-02-05 00:28:17.776: INFO @log_variables: train age_confidence/accuracy mean: 0.663918 2021-02-05 00:28:17.776: INFO @log_variables: valid loss nanmean: 1.205989 2021-02-05 00:28:17.776: INFO @log_variables: valid age_loss mean: 8.999628 2021-02-05 00:28:17.776: INFO @log_variables: valid gender_loss mean: 0.276083 2021-02-05 00:28:17.776: INFO @log_variables: valid age_mae mean: 8.421062 2021-02-05 00:28:17.776: INFO @log_variables: valid gender_accuracy mean: 0.887607 2021-02-05 00:28:17.776: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073892 2021-02-05 00:28:17.776: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842699 2021-02-05 00:28:17.776: INFO @log_variables: valid age_confidence/loss mean: 0.062964 2021-02-05 00:28:17.776: INFO @log_variables: valid age_confidence/accuracy mean: 0.635474 2021-02-05 00:28:17.776: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:28:17.778: INFO @metrics_hook: train age_mae: 8.216 +-0.143 (13824) 2021-02-05 00:28:17.780: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13824) 2021-02-05 00:28:19.187: INFO @metrics_hook: valid age_mae: 8.421 +-0.267 (3986) 2021-02-05 00:28:19.188: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:28:20.391: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:28:20.392: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:28:20.392: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:28:20.392: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:28:20.464: INFO @evaluate_confidence: Previous accuracy would be: 89.00 2021-02-05 00:28:20.464: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:28:20.469: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.97, 94.11, 94.34, 94.56, 94.74, 94.94, 95.2, 95.32, 95.47, 95.7, 95.82, 95.98, 96.07, 96.13, 96.31, 96.51, 96.62, 96.74, 96.91, 97.02, 97.14, 97.26, 97.37, 97.46, 97.56, 97.58, 97.74] 2021-02-05 00:28:20.469: INFO @evaluate_confidence: Dropped ratios are: [21.4, 22.45, 23.38, 24.46, 25.47, 26.61, 27.56, 28.52, 29.62, 30.77, 31.75, 32.75, 33.96, 34.97, 36.05, 37.24, 38.36, 39.38, 40.52, 41.5, 42.59, 43.6, 44.74, 45.83, 46.95, 47.89, 49.05] 2021-02-05 00:28:20.475: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:28:20.475: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:28:20.475: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:28:20.475: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:28:20.569: INFO @evaluate_confidence: Previous accuracy would be: 46.46 2021-02-05 00:28:20.569: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:28:20.573: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.01, 61.1, 62.41, 63.59, 65.03, 65.8, 67.2, 68.26, 69.07, 69.87, 70.88, 72.1, 72.96, 74.04, 75.37] 2021-02-05 00:28:20.573: INFO @evaluate_confidence: Dropped ratios are: [47.84, 50.65, 53.36, 55.86, 58.09, 60.13, 62.27, 64.2, 65.93, 67.66, 69.24, 70.67, 71.99, 73.3, 74.65] 2021-02-05 00:28:20.575: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:28:20.575: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:28:20.575: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:28:20.575: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:28:20.644: INFO @evaluate_confidence: Previous accuracy would be: 88.76 2021-02-05 00:28:20.644: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:28:20.646: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.83, 94.01, 94.21, 94.38, 94.61, 94.71, 94.81, 94.99, 95.09, 95.32, 95.29, 95.58, 95.76, 95.92, 96.22, 96.23, 96.29, 96.44, 96.57, 96.6, 96.95, 97.02, 97.18, 97.33, 97.41] 2021-02-05 00:28:20.646: INFO @evaluate_confidence: Dropped ratios are: [19.04, 19.97, 21.12, 21.93, 22.78, 23.68, 24.59, 25.36, 25.97, 27.09, 28.07, 29.1, 30.18, 31.08, 32.31, 33.39, 34.32, 35.12, 36.28, 37.23, 38.41, 39.44, 40.44, 41.77, 42.88] 2021-02-05 00:28:20.648: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:28:20.648: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:28:20.648: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:28:20.648: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:28:20.728: INFO @evaluate_confidence: Previous accuracy would be: 44.33 2021-02-05 00:28:20.728: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:28:20.729: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.96, 56.48, 57.45, 58.93, 60.48, 61.24, 62.44, 63.58, 64.69] 2021-02-05 00:28:20.730: INFO @evaluate_confidence: Dropped ratios are: [51.81, 54.69, 58.25, 61.39, 64.2, 66.73, 69.14, 71.0, 73.28] 2021-02-05 00:28:20.739: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:28:21.106: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:28:21.168: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:28:21.439: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:28:21.602: INFO @decay_lr : LR updated to `7.5970456e-05` 2021-02-05 00:28:21.603: INFO @log_profile : T train: 12.590298 2021-02-05 00:28:21.604: INFO @log_profile : T valid: 1.328931 2021-02-05 00:28:21.604: INFO @log_profile : T read data: 0.407979 2021-02-05 00:28:21.604: INFO @log_profile : T hooks: 4.415557 2021-02-05 00:28:21.604: INFO @main_loop : Epoch 274 done 2021-02-05 00:28:21.604: INFO @main_loop : Training epoch 275 2021-02-05 00:28:37.179: INFO @log_variables: train loss nanmean: 1.183051 2021-02-05 00:28:37.180: INFO @log_variables: train age_loss mean: 8.966731 2021-02-05 00:28:37.180: INFO @log_variables: train gender_loss mean: 0.265385 2021-02-05 00:28:37.180: INFO @log_variables: train age_mae mean: 8.403286 2021-02-05 00:28:37.180: INFO @log_variables: train gender_accuracy mean: 0.887593 2021-02-05 00:28:37.180: INFO @log_variables: train gender_confidence/loss nanmean: 0.067747 2021-02-05 00:28:37.180: INFO @log_variables: train gender_confidence/accuracy mean: 0.782429 2021-02-05 00:28:37.180: INFO @log_variables: train age_confidence/loss mean: 0.058888 2021-02-05 00:28:37.180: INFO @log_variables: train age_confidence/accuracy mean: 0.667777 2021-02-05 00:28:37.180: INFO @log_variables: valid loss nanmean: 1.210675 2021-02-05 00:28:37.180: INFO @log_variables: valid age_loss mean: 9.052810 2021-02-05 00:28:37.180: INFO @log_variables: valid gender_loss mean: 0.278728 2021-02-05 00:28:37.180: INFO @log_variables: valid age_mae mean: 8.467878 2021-02-05 00:28:37.180: INFO @log_variables: valid gender_accuracy mean: 0.886352 2021-02-05 00:28:37.180: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072729 2021-02-05 00:28:37.180: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841947 2021-02-05 00:28:37.180: INFO @log_variables: valid age_confidence/loss mean: 0.061575 2021-02-05 00:28:37.180: INFO @log_variables: valid age_confidence/accuracy mean: 0.641997 2021-02-05 00:28:37.180: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:28:37.182: INFO @metrics_hook: train age_mae: 8.403 +-0.146 (13807) 2021-02-05 00:28:37.184: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13807) 2021-02-05 00:28:38.587: INFO @metrics_hook: valid age_mae: 8.468 +-0.272 (3986) 2021-02-05 00:28:38.587: INFO @metrics_hook: valid gender_accuracy: 0.886 +-0.010 (3986) 2021-02-05 00:28:39.937: INFO @decay_lr : LR updated to `7.559061e-05` 2021-02-05 00:28:39.938: INFO @log_profile : T train: 12.815873 2021-02-05 00:28:39.938: INFO @log_profile : T valid: 1.612060 2021-02-05 00:28:39.938: INFO @log_profile : T read data: 0.505958 2021-02-05 00:28:39.938: INFO @log_profile : T hooks: 3.349451 2021-02-05 00:28:39.938: INFO @main_loop : Epoch 275 done 2021-02-05 00:28:39.938: INFO @main_loop : Training epoch 276 2021-02-05 00:28:55.408: INFO @log_variables: train loss nanmean: 1.179510 2021-02-05 00:28:55.408: INFO @log_variables: train age_loss mean: 8.911403 2021-02-05 00:28:55.408: INFO @log_variables: train gender_loss mean: 0.265863 2021-02-05 00:28:55.408: INFO @log_variables: train age_mae mean: 8.352453 2021-02-05 00:28:55.408: INFO @log_variables: train gender_accuracy mean: 0.890336 2021-02-05 00:28:55.408: INFO @log_variables: train gender_confidence/loss nanmean: 0.068893 2021-02-05 00:28:55.408: INFO @log_variables: train gender_confidence/accuracy mean: 0.788122 2021-02-05 00:28:55.408: INFO @log_variables: train age_confidence/loss mean: 0.058796 2021-02-05 00:28:55.408: INFO @log_variables: train age_confidence/accuracy mean: 0.671875 2021-02-05 00:28:55.408: INFO @log_variables: valid loss nanmean: 1.209799 2021-02-05 00:28:55.409: INFO @log_variables: valid age_loss mean: 9.091978 2021-02-05 00:28:55.409: INFO @log_variables: valid gender_loss mean: 0.273731 2021-02-05 00:28:55.409: INFO @log_variables: valid age_mae mean: 8.512402 2021-02-05 00:28:55.409: INFO @log_variables: valid gender_accuracy mean: 0.890115 2021-02-05 00:28:55.409: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072155 2021-02-05 00:28:55.409: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847466 2021-02-05 00:28:55.409: INFO @log_variables: valid age_confidence/loss mean: 0.062253 2021-02-05 00:28:55.409: INFO @log_variables: valid age_confidence/accuracy mean: 0.639488 2021-02-05 00:28:55.409: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:28:55.411: INFO @metrics_hook: train age_mae: 8.352 +-0.146 (13824) 2021-02-05 00:28:55.412: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13824) 2021-02-05 00:28:56.795: INFO @metrics_hook: valid age_mae: 8.512 +-0.273 (3986) 2021-02-05 00:28:56.796: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:28:58.011: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:28:58.011: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:28:58.011: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.49 +- 0.18 2021-02-05 00:28:58.011: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:28:58.084: INFO @evaluate_confidence: Previous accuracy would be: 89.03 2021-02-05 00:28:58.084: INFO @evaluate_confidence: Possible optimal thresholds are: [0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73] 2021-02-05 00:28:58.089: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.97, 94.17, 94.41, 94.57, 94.76, 94.92, 95.02, 95.16, 95.25, 95.36, 95.53, 95.72, 95.86, 95.99, 96.18, 96.39, 96.48, 96.63, 96.79, 96.94, 97.13, 97.23, 97.35, 97.45, 97.55] 2021-02-05 00:28:58.089: INFO @evaluate_confidence: Dropped ratios are: [22.2, 23.2, 24.29, 25.1, 26.11, 27.23, 28.29, 29.38, 30.32, 31.25, 32.26, 33.37, 34.53, 35.76, 36.81, 37.81, 38.94, 39.92, 41.12, 42.16, 43.37, 44.47, 45.46, 46.37, 47.37] 2021-02-05 00:28:58.095: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:28:58.095: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:28:58.095: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:28:58.095: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:28:58.182: INFO @evaluate_confidence: Previous accuracy would be: 45.50 2021-02-05 00:28:58.182: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:28:58.185: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.09, 61.17, 62.07, 63.28, 64.39, 65.23, 66.62, 67.67, 69.06, 70.19, 71.16, 71.99, 72.85, 73.64, 74.86] 2021-02-05 00:28:58.186: INFO @evaluate_confidence: Dropped ratios are: [50.22, 52.74, 54.9, 57.31, 59.49, 61.57, 63.4, 65.07, 66.96, 68.58, 70.12, 71.51, 72.93, 74.15, 75.31] 2021-02-05 00:28:58.187: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:28:58.187: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:28:58.187: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:28:58.187: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:28:58.261: INFO @evaluate_confidence: Previous accuracy would be: 89.01 2021-02-05 00:28:58.261: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:28:58.262: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.06, 94.27, 94.42, 94.66, 94.8, 94.82, 94.9, 95.0, 95.34, 95.69, 95.74, 95.85, 95.98, 96.17, 96.39, 96.56, 96.62, 96.75, 97.0, 97.03, 97.1, 97.14, 97.21, 97.44, 97.47] 2021-02-05 00:28:58.262: INFO @evaluate_confidence: Dropped ratios are: [18.84, 19.84, 20.85, 21.58, 22.3, 23.01, 23.81, 24.66, 25.72, 26.67, 27.57, 28.6, 29.45, 30.51, 31.26, 32.14, 33.14, 34.47, 35.57, 36.58, 37.61, 38.51, 39.66, 41.19, 42.42] 2021-02-05 00:28:58.264: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:28:58.264: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:28:58.264: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.11 2021-02-05 00:28:58.264: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:28:58.348: INFO @evaluate_confidence: Previous accuracy would be: 44.18 2021-02-05 00:28:58.348: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:28:58.349: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.88, 57.7, 58.8, 59.99, 60.65, 61.73, 63.18, 64.46, 64.92] 2021-02-05 00:28:58.349: INFO @evaluate_confidence: Dropped ratios are: [52.23, 56.0, 59.38, 62.57, 65.0, 67.49, 69.74, 71.9, 73.61] 2021-02-05 00:28:58.358: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:28:58.731: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:28:58.801: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:28:59.075: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:28:59.232: INFO @decay_lr : LR updated to `7.521266e-05` 2021-02-05 00:28:59.233: INFO @log_profile : T train: 12.782673 2021-02-05 00:28:59.233: INFO @log_profile : T valid: 1.645228 2021-02-05 00:28:59.233: INFO @log_profile : T read data: 0.398804 2021-02-05 00:28:59.233: INFO @log_profile : T hooks: 4.419771 2021-02-05 00:28:59.233: INFO @main_loop : Epoch 276 done 2021-02-05 00:28:59.233: INFO @main_loop : Training epoch 277 2021-02-05 00:29:14.997: INFO @log_variables: train loss nanmean: 1.174818 2021-02-05 00:29:14.998: INFO @log_variables: train age_loss mean: 8.928424 2021-02-05 00:29:14.998: INFO @log_variables: train gender_loss mean: 0.260500 2021-02-05 00:29:14.998: INFO @log_variables: train age_mae mean: 8.362727 2021-02-05 00:29:14.998: INFO @log_variables: train gender_accuracy mean: 0.891577 2021-02-05 00:29:14.998: INFO @log_variables: train gender_confidence/loss nanmean: 0.068344 2021-02-05 00:29:14.998: INFO @log_variables: train gender_confidence/accuracy mean: 0.788948 2021-02-05 00:29:14.998: INFO @log_variables: train age_confidence/loss mean: 0.057981 2021-02-05 00:29:14.998: INFO @log_variables: train age_confidence/accuracy mean: 0.672557 2021-02-05 00:29:14.998: INFO @log_variables: valid loss nanmean: 1.212754 2021-02-05 00:29:14.998: INFO @log_variables: valid age_loss mean: 9.004992 2021-02-05 00:29:14.998: INFO @log_variables: valid gender_loss mean: 0.283256 2021-02-05 00:29:14.998: INFO @log_variables: valid age_mae mean: 8.423079 2021-02-05 00:29:14.998: INFO @log_variables: valid gender_accuracy mean: 0.885098 2021-02-05 00:29:14.998: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073921 2021-02-05 00:29:14.998: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845961 2021-02-05 00:29:14.999: INFO @log_variables: valid age_confidence/loss mean: 0.062693 2021-02-05 00:29:14.999: INFO @log_variables: valid age_confidence/accuracy mean: 0.635223 2021-02-05 00:29:14.999: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:29:15.000: INFO @metrics_hook: train age_mae: 8.363 +-0.145 (13807) 2021-02-05 00:29:15.002: INFO @metrics_hook: train gender_accuracy: 0.892 +-0.005 (13807) 2021-02-05 00:29:16.383: INFO @metrics_hook: valid age_mae: 8.423 +-0.272 (3986) 2021-02-05 00:29:16.383: INFO @metrics_hook: valid gender_accuracy: 0.885 +-0.010 (3986) 2021-02-05 00:29:17.689: INFO @decay_lr : LR updated to `7.483659e-05` 2021-02-05 00:29:17.690: INFO @log_profile : T train: 12.951619 2021-02-05 00:29:17.690: INFO @log_profile : T valid: 1.637142 2021-02-05 00:29:17.690: INFO @log_profile : T read data: 0.512490 2021-02-05 00:29:17.690: INFO @log_profile : T hooks: 3.306335 2021-02-05 00:29:17.690: INFO @main_loop : Epoch 277 done 2021-02-05 00:29:17.690: INFO @main_loop : Training epoch 278 2021-02-05 00:29:33.303: INFO @log_variables: train loss nanmean: 1.167278 2021-02-05 00:29:33.303: INFO @log_variables: train age_loss mean: 8.750983 2021-02-05 00:29:33.303: INFO @log_variables: train gender_loss mean: 0.267485 2021-02-05 00:29:33.303: INFO @log_variables: train age_mae mean: 8.190551 2021-02-05 00:29:33.303: INFO @log_variables: train gender_accuracy mean: 0.888166 2021-02-05 00:29:33.303: INFO @log_variables: train gender_confidence/loss nanmean: 0.069085 2021-02-05 00:29:33.303: INFO @log_variables: train gender_confidence/accuracy mean: 0.782480 2021-02-05 00:29:33.303: INFO @log_variables: train age_confidence/loss mean: 0.059481 2021-02-05 00:29:33.303: INFO @log_variables: train age_confidence/accuracy mean: 0.662471 2021-02-05 00:29:33.303: INFO @log_variables: valid loss nanmean: 1.226968 2021-02-05 00:29:33.304: INFO @log_variables: valid age_loss mean: 9.098680 2021-02-05 00:29:33.304: INFO @log_variables: valid gender_loss mean: 0.289973 2021-02-05 00:29:33.304: INFO @log_variables: valid age_mae mean: 8.516797 2021-02-05 00:29:33.304: INFO @log_variables: valid gender_accuracy mean: 0.881586 2021-02-05 00:29:33.304: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073680 2021-02-05 00:29:33.304: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842699 2021-02-05 00:29:33.304: INFO @log_variables: valid age_confidence/loss mean: 0.062523 2021-02-05 00:29:33.304: INFO @log_variables: valid age_confidence/accuracy mean: 0.628199 2021-02-05 00:29:33.304: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:29:33.306: INFO @metrics_hook: train age_mae: 8.191 +-0.143 (13824) 2021-02-05 00:29:33.307: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13824) 2021-02-05 00:29:34.729: INFO @metrics_hook: valid age_mae: 8.517 +-0.274 (3986) 2021-02-05 00:29:34.729: INFO @metrics_hook: valid gender_accuracy: 0.882 +-0.010 (3986) 2021-02-05 00:29:36.001: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:29:36.001: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:29:36.002: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:29:36.002: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:29:36.074: INFO @evaluate_confidence: Previous accuracy would be: 88.82 2021-02-05 00:29:36.074: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:29:36.080: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.73, 93.97, 94.06, 94.25, 94.4, 94.62, 94.8, 94.94, 95.19, 95.28, 95.36, 95.54, 95.79, 95.98, 96.14, 96.24, 96.36, 96.48, 96.59, 96.76, 96.9, 97.15, 97.28, 97.41, 97.53, 97.63, 97.78] 2021-02-05 00:29:36.080: INFO @evaluate_confidence: Dropped ratios are: [21.72, 22.84, 23.89, 24.99, 25.91, 26.85, 27.95, 28.92, 30.03, 31.09, 32.12, 33.28, 34.4, 35.45, 36.64, 37.54, 38.59, 39.6, 40.59, 41.69, 42.68, 43.68, 44.68, 45.74, 47.01, 48.1, 49.08] 2021-02-05 00:29:36.086: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:29:36.086: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:29:36.086: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:29:36.086: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:29:36.178: INFO @evaluate_confidence: Previous accuracy would be: 46.43 2021-02-05 00:29:36.178: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:29:36.182: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.19, 60.43, 61.55, 62.51, 63.84, 65.0, 66.21, 67.29, 68.24, 69.18, 69.75, 70.7, 71.61, 72.41, 73.53] 2021-02-05 00:29:36.182: INFO @evaluate_confidence: Dropped ratios are: [47.24, 50.12, 52.68, 55.0, 57.41, 59.58, 61.7, 63.62, 65.2, 66.98, 68.45, 69.98, 71.33, 72.6, 73.84] 2021-02-05 00:29:36.184: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:29:36.184: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:29:36.184: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:29:36.184: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:29:36.256: INFO @evaluate_confidence: Previous accuracy would be: 88.16 2021-02-05 00:29:36.256: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:29:36.258: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.28, 93.51, 93.57, 93.64, 93.82, 94.06, 94.23, 94.46, 94.57, 94.82, 95.13, 95.34, 95.65, 95.78, 95.93, 96.1, 96.35, 96.47, 96.65, 96.72, 96.91, 97.02, 97.13, 97.25, 97.36] 2021-02-05 00:29:36.258: INFO @evaluate_confidence: Dropped ratios are: [19.02, 19.99, 20.82, 21.85, 22.45, 23.61, 24.41, 25.21, 26.14, 27.3, 28.45, 29.5, 30.81, 31.59, 32.74, 33.69, 34.75, 36.1, 37.03, 38.06, 39.11, 40.32, 41.34, 42.6, 43.95] 2021-02-05 00:29:36.260: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:29:36.260: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:29:36.260: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:29:36.260: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:29:36.342: INFO @evaluate_confidence: Previous accuracy would be: 44.05 2021-02-05 00:29:36.342: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:29:36.343: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.17, 57.13, 57.72, 58.95, 59.9, 60.59, 61.53, 61.79, 62.59] 2021-02-05 00:29:36.343: INFO @evaluate_confidence: Dropped ratios are: [52.83, 56.57, 59.36, 62.29, 65.03, 67.08, 69.09, 70.85, 72.3] 2021-02-05 00:29:36.352: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:29:51.761: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:29:51.818: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:29:52.101: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:29:52.279: INFO @decay_lr : LR updated to `7.446241e-05` 2021-02-05 00:29:52.280: INFO @log_profile : T train: 12.940326 2021-02-05 00:29:52.280: INFO @log_profile : T valid: 1.622100 2021-02-05 00:29:52.280: INFO @log_profile : T read data: 0.394591 2021-02-05 00:29:52.280: INFO @log_profile : T hooks: 19.583674 2021-02-05 00:29:52.280: INFO @main_loop : Epoch 278 done 2021-02-05 00:29:52.280: INFO @main_loop : Training epoch 279 2021-02-05 00:30:07.675: INFO @log_variables: train loss nanmean: 1.181037 2021-02-05 00:30:07.675: INFO @log_variables: train age_loss mean: 8.925670 2021-02-05 00:30:07.675: INFO @log_variables: train gender_loss mean: 0.266716 2021-02-05 00:30:07.675: INFO @log_variables: train age_mae mean: 8.364265 2021-02-05 00:30:07.675: INFO @log_variables: train gender_accuracy mean: 0.886791 2021-02-05 00:30:07.675: INFO @log_variables: train gender_confidence/loss nanmean: 0.068202 2021-02-05 00:30:07.675: INFO @log_variables: train gender_confidence/accuracy mean: 0.790943 2021-02-05 00:30:07.675: INFO @log_variables: train age_confidence/loss mean: 0.058941 2021-02-05 00:30:07.675: INFO @log_variables: train age_confidence/accuracy mean: 0.667679 2021-02-05 00:30:07.675: INFO @log_variables: valid loss nanmean: 1.208491 2021-02-05 00:30:07.675: INFO @log_variables: valid age_loss mean: 8.988249 2021-02-05 00:30:07.675: INFO @log_variables: valid gender_loss mean: 0.281270 2021-02-05 00:30:07.675: INFO @log_variables: valid age_mae mean: 8.406472 2021-02-05 00:30:07.676: INFO @log_variables: valid gender_accuracy mean: 0.887857 2021-02-05 00:30:07.676: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072856 2021-02-05 00:30:07.676: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839438 2021-02-05 00:30:07.676: INFO @log_variables: valid age_confidence/loss mean: 0.062821 2021-02-05 00:30:07.676: INFO @log_variables: valid age_confidence/accuracy mean: 0.625188 2021-02-05 00:30:07.676: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:30:07.678: INFO @metrics_hook: train age_mae: 8.364 +-0.145 (13824) 2021-02-05 00:30:07.679: INFO @metrics_hook: train gender_accuracy: 0.887 +-0.005 (13824) 2021-02-05 00:30:09.100: INFO @metrics_hook: valid age_mae: 8.406 +-0.274 (3986) 2021-02-05 00:30:09.101: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:30:10.474: INFO @decay_lr : LR updated to `7.40901e-05` 2021-02-05 00:30:10.475: INFO @log_profile : T train: 12.791916 2021-02-05 00:30:10.475: INFO @log_profile : T valid: 1.561908 2021-02-05 00:30:10.475: INFO @log_profile : T read data: 0.402754 2021-02-05 00:30:10.475: INFO @log_profile : T hooks: 3.390650 2021-02-05 00:30:10.475: INFO @main_loop : Epoch 279 done 2021-02-05 00:30:10.475: INFO @main_loop : Training epoch 280 2021-02-05 00:30:26.514: INFO @log_variables: train loss nanmean: 1.179508 2021-02-05 00:30:26.514: INFO @log_variables: train age_loss mean: 8.974722 2021-02-05 00:30:26.514: INFO @log_variables: train gender_loss mean: 0.261406 2021-02-05 00:30:26.514: INFO @log_variables: train age_mae mean: 8.409424 2021-02-05 00:30:26.514: INFO @log_variables: train gender_accuracy mean: 0.889839 2021-02-05 00:30:26.514: INFO @log_variables: train gender_confidence/loss nanmean: 0.067342 2021-02-05 00:30:26.514: INFO @log_variables: train gender_confidence/accuracy mean: 0.785761 2021-02-05 00:30:26.514: INFO @log_variables: train age_confidence/loss mean: 0.058640 2021-02-05 00:30:26.514: INFO @log_variables: train age_confidence/accuracy mean: 0.668139 2021-02-05 00:30:26.515: INFO @log_variables: valid loss nanmean: 1.211415 2021-02-05 00:30:26.515: INFO @log_variables: valid age_loss mean: 9.049972 2021-02-05 00:30:26.515: INFO @log_variables: valid gender_loss mean: 0.278325 2021-02-05 00:30:26.515: INFO @log_variables: valid age_mae mean: 8.466580 2021-02-05 00:30:26.515: INFO @log_variables: valid gender_accuracy mean: 0.887607 2021-02-05 00:30:26.515: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072660 2021-02-05 00:30:26.515: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847717 2021-02-05 00:30:26.515: INFO @log_variables: valid age_confidence/loss mean: 0.063008 2021-02-05 00:30:26.515: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-05 00:30:26.515: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:30:26.517: INFO @metrics_hook: train age_mae: 8.409 +-0.145 (13807) 2021-02-05 00:30:26.518: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13807) 2021-02-05 00:30:27.923: INFO @metrics_hook: valid age_mae: 8.467 +-0.271 (3986) 2021-02-05 00:30:27.924: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:30:29.151: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:30:29.151: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:30:29.152: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:30:29.152: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:30:29.228: INFO @evaluate_confidence: Previous accuracy would be: 88.98 2021-02-05 00:30:29.228: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:30:29.233: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.7, 94.04, 94.28, 94.41, 94.59, 94.83, 95.0, 95.13, 95.37, 95.51, 95.71, 95.92, 96.16, 96.28, 96.45, 96.57, 96.67, 96.79, 96.97, 97.17, 97.44, 97.47, 97.57, 97.69, 97.78, 97.82, 98.02] 2021-02-05 00:30:29.233: INFO @evaluate_confidence: Dropped ratios are: [21.51, 22.53, 23.71, 24.76, 25.83, 26.88, 27.8, 28.73, 29.72, 30.77, 31.72, 32.87, 33.9, 34.98, 35.98, 36.93, 38.02, 39.04, 39.99, 41.18, 42.33, 43.3, 44.24, 45.43, 46.48, 47.4, 48.47] 2021-02-05 00:30:29.239: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:30:29.239: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:30:29.239: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:30:29.239: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.18 2021-02-05 00:30:29.334: INFO @evaluate_confidence: Previous accuracy would be: 45.17 2021-02-05 00:30:29.334: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:30:29.338: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.35, 59.51, 60.93, 62.27, 63.52, 64.82, 65.88, 67.22, 68.08, 69.23, 70.49, 71.55, 72.45, 73.66, 74.55] 2021-02-05 00:30:29.338: INFO @evaluate_confidence: Dropped ratios are: [48.77, 51.81, 54.62, 57.08, 59.54, 61.65, 63.61, 65.58, 67.33, 68.86, 70.28, 71.69, 72.85, 74.12, 75.38] 2021-02-05 00:30:29.340: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:30:29.340: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:30:29.340: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:30:29.340: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:30:29.415: INFO @evaluate_confidence: Previous accuracy would be: 88.76 2021-02-05 00:30:29.416: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:30:29.417: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.69, 94.12, 94.29, 94.51, 94.69, 94.89, 95.12, 95.25, 95.5, 95.69, 95.77, 95.96, 96.2, 96.23, 96.3, 96.36, 96.58, 96.66, 96.9, 96.99, 97.1, 97.26, 97.28, 97.53, 97.56, 97.73] 2021-02-05 00:30:29.417: INFO @evaluate_confidence: Dropped ratios are: [18.44, 19.39, 20.1, 20.92, 22.08, 22.96, 23.88, 24.94, 25.87, 26.69, 27.67, 28.55, 29.43, 30.13, 30.86, 31.76, 32.49, 33.82, 35.22, 36.6, 37.61, 38.71, 40.12, 41.17, 42.47, 43.75] 2021-02-05 00:30:29.419: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:30:29.419: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:30:29.419: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:30:29.419: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:30:29.504: INFO @evaluate_confidence: Previous accuracy would be: 44.51 2021-02-05 00:30:29.504: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:30:29.505: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.17, 57.61, 58.68, 59.76, 60.2, 61.66, 62.7, 64.05, 64.73] 2021-02-05 00:30:29.505: INFO @evaluate_confidence: Dropped ratios are: [52.66, 56.15, 59.38, 62.09, 64.45, 66.76, 69.39, 71.6, 73.18] 2021-02-05 00:30:29.515: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:30:29.880: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:30:29.942: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:30:30.212: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:30:30.270: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:30:30.640: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:30:30.701: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:30:30.702: INFO @evaluate_gender-age_model: groups 0 5.663554 1 9.162290 2 9.099211 3 8.207124 4 8.715504 5 9.308796 6 9.205951 7 7.681529 Name: errors, dtype: float64 2021-02-05 00:30:30.703: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:30:30.980: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:30:31.036: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:30:31.036: INFO @evaluate_gender-age_model: groups 0 6.236680 1 8.071872 2 8.418643 3 7.649009 4 9.073095 5 9.805655 6 9.083071 7 7.919438 Name: errors, dtype: float64 2021-02-05 00:30:31.135: INFO @decay_lr : LR updated to `7.371965e-05` 2021-02-05 00:30:31.136: INFO @log_profile : T train: 12.723819 2021-02-05 00:30:31.136: INFO @log_profile : T valid: 1.630718 2021-02-05 00:30:31.136: INFO @log_profile : T read data: 0.512781 2021-02-05 00:30:31.136: INFO @log_profile : T hooks: 5.746449 2021-02-05 00:30:31.136: INFO @main_loop : Epoch 280 done 2021-02-05 00:30:31.136: INFO @main_loop : Training epoch 281 2021-02-05 00:30:46.064: INFO @log_variables: train loss nanmean: 1.175407 2021-02-05 00:30:46.064: INFO @log_variables: train age_loss mean: 8.876287 2021-02-05 00:30:46.064: INFO @log_variables: train gender_loss mean: 0.264986 2021-02-05 00:30:46.064: INFO @log_variables: train age_mae mean: 8.310535 2021-02-05 00:30:46.064: INFO @log_variables: train gender_accuracy mean: 0.889178 2021-02-05 00:30:46.064: INFO @log_variables: train gender_confidence/loss nanmean: 0.067950 2021-02-05 00:30:46.064: INFO @log_variables: train gender_confidence/accuracy mean: 0.791739 2021-02-05 00:30:46.064: INFO @log_variables: train age_confidence/loss mean: 0.059626 2021-02-05 00:30:46.064: INFO @log_variables: train age_confidence/accuracy mean: 0.661314 2021-02-05 00:30:46.064: INFO @log_variables: valid loss nanmean: 1.220258 2021-02-05 00:30:46.064: INFO @log_variables: valid age_loss mean: 9.102627 2021-02-05 00:30:46.065: INFO @log_variables: valid gender_loss mean: 0.278004 2021-02-05 00:30:46.065: INFO @log_variables: valid age_mae mean: 8.517070 2021-02-05 00:30:46.065: INFO @log_variables: valid gender_accuracy mean: 0.888610 2021-02-05 00:30:46.065: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075560 2021-02-05 00:30:46.065: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849473 2021-02-05 00:30:46.065: INFO @log_variables: valid age_confidence/loss mean: 0.064455 2021-02-05 00:30:46.065: INFO @log_variables: valid age_confidence/accuracy mean: 0.624686 2021-02-05 00:30:46.065: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:30:46.067: INFO @metrics_hook: train age_mae: 8.311 +-0.145 (13824) 2021-02-05 00:30:46.068: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:30:47.479: INFO @metrics_hook: valid age_mae: 8.517 +-0.275 (3986) 2021-02-05 00:30:47.479: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:30:48.790: INFO @decay_lr : LR updated to `7.335105e-05` 2021-02-05 00:30:48.791: INFO @log_profile : T train: 12.472440 2021-02-05 00:30:48.791: INFO @log_profile : T valid: 1.420605 2021-02-05 00:30:48.791: INFO @log_profile : T read data: 0.399327 2021-02-05 00:30:48.791: INFO @log_profile : T hooks: 3.317623 2021-02-05 00:30:48.791: INFO @main_loop : Epoch 281 done 2021-02-05 00:30:48.791: INFO @main_loop : Training epoch 282 2021-02-05 00:31:04.308: INFO @log_variables: train loss nanmean: 1.177720 2021-02-05 00:31:04.308: INFO @log_variables: train age_loss mean: 8.924849 2021-02-05 00:31:04.308: INFO @log_variables: train gender_loss mean: 0.264499 2021-02-05 00:31:04.308: INFO @log_variables: train age_mae mean: 8.363384 2021-02-05 00:31:04.308: INFO @log_variables: train gender_accuracy mean: 0.888744 2021-02-05 00:31:04.308: INFO @log_variables: train gender_confidence/loss nanmean: 0.067718 2021-02-05 00:31:04.308: INFO @log_variables: train gender_confidence/accuracy mean: 0.788122 2021-02-05 00:31:04.308: INFO @log_variables: train age_confidence/loss mean: 0.058198 2021-02-05 00:31:04.308: INFO @log_variables: train age_confidence/accuracy mean: 0.674696 2021-02-05 00:31:04.308: INFO @log_variables: valid loss nanmean: 1.206161 2021-02-05 00:31:04.308: INFO @log_variables: valid age_loss mean: 9.003275 2021-02-05 00:31:04.308: INFO @log_variables: valid gender_loss mean: 0.277512 2021-02-05 00:31:04.309: INFO @log_variables: valid age_mae mean: 8.424104 2021-02-05 00:31:04.309: INFO @log_variables: valid gender_accuracy mean: 0.891621 2021-02-05 00:31:04.309: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073059 2021-02-05 00:31:04.309: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840191 2021-02-05 00:31:04.309: INFO @log_variables: valid age_confidence/loss mean: 0.062339 2021-02-05 00:31:04.309: INFO @log_variables: valid age_confidence/accuracy mean: 0.633969 2021-02-05 00:31:04.309: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:31:04.310: INFO @metrics_hook: train age_mae: 8.363 +-0.146 (13824) 2021-02-05 00:31:04.312: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:31:05.779: INFO @metrics_hook: valid age_mae: 8.424 +-0.269 (3986) 2021-02-05 00:31:05.779: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:31:07.049: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:31:07.049: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:31:07.049: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:31:07.049: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:31:07.127: INFO @evaluate_confidence: Previous accuracy would be: 88.87 2021-02-05 00:31:07.127: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:31:07.133: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.68, 93.88, 94.12, 94.22, 94.42, 94.64, 94.86, 95.1, 95.27, 95.54, 95.61, 95.72, 95.85, 96.0, 96.19, 96.34, 96.49, 96.69, 96.77, 96.92, 97.07, 97.19, 97.31, 97.47, 97.58, 97.68, 97.74] 2021-02-05 00:31:07.133: INFO @evaluate_confidence: Dropped ratios are: [21.18, 22.22, 23.29, 24.28, 25.27, 26.32, 27.29, 28.31, 29.25, 30.24, 31.12, 32.09, 33.13, 34.2, 35.27, 36.29, 37.29, 38.45, 39.46, 40.31, 41.46, 42.51, 43.53, 44.6, 45.61, 46.7, 47.9] 2021-02-05 00:31:07.139: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:31:07.139: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 00:31:07.139: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:31:07.139: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:31:07.239: INFO @evaluate_confidence: Previous accuracy would be: 45.44 2021-02-05 00:31:07.239: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:31:07.243: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.62, 60.9, 62.05, 63.22, 64.25, 65.52, 66.86, 68.05, 69.03, 70.16, 71.2, 72.08, 72.95, 74.03, 75.14, 76.32] 2021-02-05 00:31:07.243: INFO @evaluate_confidence: Dropped ratios are: [48.92, 51.69, 54.24, 56.38, 58.64, 60.79, 62.78, 64.66, 66.32, 68.0, 69.39, 70.62, 72.03, 73.31, 74.6, 75.99] 2021-02-05 00:31:07.245: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:31:07.245: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:31:07.245: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:31:07.245: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:31:07.330: INFO @evaluate_confidence: Previous accuracy would be: 89.16 2021-02-05 00:31:07.330: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:31:07.332: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.96, 94.08, 94.18, 94.5, 94.86, 94.93, 95.16, 95.29, 95.47, 95.52, 95.65, 95.75, 95.81, 95.91, 96.05, 96.07, 96.38, 96.45, 96.48, 96.9, 97.01, 97.17, 97.25, 97.21, 97.47] 2021-02-05 00:31:07.332: INFO @evaluate_confidence: Dropped ratios are: [19.77, 20.7, 21.55, 22.4, 23.33, 24.34, 25.41, 26.47, 27.47, 28.32, 29.6, 30.36, 31.11, 31.96, 33.37, 34.24, 35.5, 36.35, 37.36, 38.48, 39.54, 40.57, 41.57, 42.47, 43.55] 2021-02-05 00:31:07.334: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:31:07.334: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:31:07.334: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:31:07.334: INFO @evaluate_confidence: Average confidence of all samples 0.46 +- 0.16 2021-02-05 00:31:07.431: INFO @evaluate_confidence: Previous accuracy would be: 44.61 2021-02-05 00:31:07.432: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:31:07.433: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.51, 58.19, 59.26, 59.96, 60.86, 61.5, 62.29, 62.93, 64.43, 65.87] 2021-02-05 00:31:07.433: INFO @evaluate_confidence: Dropped ratios are: [52.01, 56.2, 59.48, 62.22, 64.55, 66.83, 69.07, 70.5, 72.28, 73.76] 2021-02-05 00:31:07.442: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:31:07.838: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:31:07.905: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:31:08.185: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:31:08.351: INFO @decay_lr : LR updated to `7.29843e-05` 2021-02-05 00:31:08.577: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:31:08.580: INFO @log_profile : T train: 12.842948 2021-02-05 00:31:08.580: INFO @log_profile : T valid: 1.621711 2021-02-05 00:31:08.580: INFO @log_profile : T read data: 0.403227 2021-02-05 00:31:08.580: INFO @log_profile : T hooks: 4.871851 2021-02-05 00:31:08.580: INFO @main_loop : Epoch 282 done 2021-02-05 00:31:08.580: INFO @main_loop : Training epoch 283 2021-02-05 00:31:24.245: INFO @log_variables: train loss nanmean: 1.165821 2021-02-05 00:31:24.245: INFO @log_variables: train age_loss mean: 8.817514 2021-02-05 00:31:24.245: INFO @log_variables: train gender_loss mean: 0.261476 2021-02-05 00:31:24.245: INFO @log_variables: train age_mae mean: 8.256733 2021-02-05 00:31:24.245: INFO @log_variables: train gender_accuracy mean: 0.887811 2021-02-05 00:31:24.245: INFO @log_variables: train gender_confidence/loss nanmean: 0.067536 2021-02-05 00:31:24.245: INFO @log_variables: train gender_confidence/accuracy mean: 0.788223 2021-02-05 00:31:24.245: INFO @log_variables: train age_confidence/loss mean: 0.058987 2021-02-05 00:31:24.245: INFO @log_variables: train age_confidence/accuracy mean: 0.669805 2021-02-05 00:31:24.245: INFO @log_variables: valid loss nanmean: 1.206948 2021-02-05 00:31:24.245: INFO @log_variables: valid age_loss mean: 8.979972 2021-02-05 00:31:24.245: INFO @log_variables: valid gender_loss mean: 0.281022 2021-02-05 00:31:24.245: INFO @log_variables: valid age_mae mean: 8.398416 2021-02-05 00:31:24.246: INFO @log_variables: valid gender_accuracy mean: 0.888108 2021-02-05 00:31:24.246: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072524 2021-02-05 00:31:24.246: INFO @log_variables: valid gender_confidence/accuracy mean: 0.856749 2021-02-05 00:31:24.246: INFO @log_variables: valid age_confidence/loss mean: 0.062588 2021-02-05 00:31:24.246: INFO @log_variables: valid age_confidence/accuracy mean: 0.636227 2021-02-05 00:31:24.246: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:31:24.247: INFO @metrics_hook: train age_mae: 8.257 +-0.144 (13807) 2021-02-05 00:31:24.249: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13807) 2021-02-05 00:31:25.673: INFO @metrics_hook: valid age_mae: 8.398 +-0.271 (3986) 2021-02-05 00:31:25.673: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:31:27.014: INFO @decay_lr : LR updated to `7.261938e-05` 2021-02-05 00:31:27.015: INFO @log_profile : T train: 12.840930 2021-02-05 00:31:27.015: INFO @log_profile : T valid: 1.643353 2021-02-05 00:31:27.015: INFO @log_profile : T read data: 0.532360 2021-02-05 00:31:27.015: INFO @log_profile : T hooks: 3.368742 2021-02-05 00:31:27.015: INFO @main_loop : Epoch 283 done 2021-02-05 00:31:27.015: INFO @main_loop : Training epoch 284 2021-02-05 00:31:42.544: INFO @log_variables: train loss nanmean: 1.157050 2021-02-05 00:31:42.544: INFO @log_variables: train age_loss mean: 8.679213 2021-02-05 00:31:42.544: INFO @log_variables: train gender_loss mean: 0.263938 2021-02-05 00:31:42.544: INFO @log_variables: train age_mae mean: 8.119854 2021-02-05 00:31:42.544: INFO @log_variables: train gender_accuracy mean: 0.889468 2021-02-05 00:31:42.544: INFO @log_variables: train gender_confidence/loss nanmean: 0.068587 2021-02-05 00:31:42.544: INFO @log_variables: train gender_confidence/accuracy mean: 0.787543 2021-02-05 00:31:42.544: INFO @log_variables: train age_confidence/loss mean: 0.059501 2021-02-05 00:31:42.544: INFO @log_variables: train age_confidence/accuracy mean: 0.663701 2021-02-05 00:31:42.544: INFO @log_variables: valid loss nanmean: 1.219837 2021-02-05 00:31:42.544: INFO @log_variables: valid age_loss mean: 9.143673 2021-02-05 00:31:42.545: INFO @log_variables: valid gender_loss mean: 0.276909 2021-02-05 00:31:42.545: INFO @log_variables: valid age_mae mean: 8.555158 2021-02-05 00:31:42.545: INFO @log_variables: valid gender_accuracy mean: 0.887356 2021-02-05 00:31:42.545: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073400 2021-02-05 00:31:42.545: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842198 2021-02-05 00:31:42.545: INFO @log_variables: valid age_confidence/loss mean: 0.063458 2021-02-05 00:31:42.545: INFO @log_variables: valid age_confidence/accuracy mean: 0.630958 2021-02-05 00:31:42.545: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:31:42.547: INFO @metrics_hook: train age_mae: 8.120 +-0.141 (13824) 2021-02-05 00:31:42.550: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:31:44.033: INFO @metrics_hook: valid age_mae: 8.555 +-0.279 (3986) 2021-02-05 00:31:44.033: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:31:45.341: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:31:45.341: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:31:45.341: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:31:45.341: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.23 2021-02-05 00:31:45.419: INFO @evaluate_confidence: Previous accuracy would be: 88.95 2021-02-05 00:31:45.419: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:31:45.424: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.92, 94.08, 94.21, 94.29, 94.52, 94.67, 94.8, 94.94, 95.11, 95.24, 95.47, 95.54, 95.76, 95.86, 96.03, 96.2, 96.3, 96.37, 96.54, 96.64, 96.69, 96.89, 97.01, 97.12, 97.3, 97.39, 97.63] 2021-02-05 00:31:45.424: INFO @evaluate_confidence: Dropped ratios are: [21.49, 22.48, 23.43, 24.28, 25.52, 26.43, 27.45, 28.47, 29.42, 30.42, 31.22, 32.15, 33.15, 34.28, 35.29, 36.26, 37.28, 38.28, 39.13, 40.09, 41.05, 42.26, 43.32, 44.43, 45.55, 46.6, 47.87] 2021-02-05 00:31:45.430: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:31:45.430: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.22 2021-02-05 00:31:45.430: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:31:45.430: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:31:45.535: INFO @evaluate_confidence: Previous accuracy would be: 46.64 2021-02-05 00:31:45.536: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:31:45.540: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.08, 60.3, 61.57, 62.73, 64.08, 65.24, 66.07, 67.39, 68.5, 69.72, 70.68, 71.51, 72.58, 73.48, 74.21] 2021-02-05 00:31:45.540: INFO @evaluate_confidence: Dropped ratios are: [47.45, 50.37, 53.25, 55.66, 58.02, 60.06, 61.88, 63.86, 65.37, 67.03, 68.42, 69.76, 71.14, 72.5, 73.72] 2021-02-05 00:31:45.542: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:31:45.542: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:31:45.542: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:31:45.543: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:31:45.625: INFO @evaluate_confidence: Previous accuracy would be: 88.74 2021-02-05 00:31:45.625: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:31:45.627: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.99, 94.02, 94.07, 94.36, 94.4, 94.51, 94.57, 94.74, 94.96, 95.18, 95.29, 95.4, 95.64, 95.97, 96.18, 96.32, 96.42, 96.48, 96.58, 96.76, 96.9, 96.94, 97.06, 97.13, 97.28, 97.32] 2021-02-05 00:31:45.627: INFO @evaluate_confidence: Dropped ratios are: [19.04, 19.82, 20.85, 21.75, 22.43, 23.21, 24.21, 25.09, 26.27, 27.2, 28.1, 29.13, 30.38, 31.54, 32.34, 33.27, 34.07, 35.15, 36.25, 37.21, 38.43, 39.41, 40.37, 41.42, 42.9, 43.85] 2021-02-05 00:31:45.629: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:31:45.629: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:31:45.629: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.13 2021-02-05 00:31:45.629: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:31:45.721: INFO @evaluate_confidence: Previous accuracy would be: 44.51 2021-02-05 00:31:45.721: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:31:45.722: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.0, 57.93, 58.48, 58.95, 60.07, 61.25, 61.37, 62.55, 63.44, 63.89] 2021-02-05 00:31:45.722: INFO @evaluate_confidence: Dropped ratios are: [53.21, 56.05, 58.61, 61.31, 63.75, 66.21, 67.79, 69.72, 71.53, 72.91] 2021-02-05 00:31:45.732: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:31:46.131: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:31:46.204: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:31:46.488: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:31:46.673: INFO @decay_lr : LR updated to `7.225628e-05` 2021-02-05 00:31:46.674: INFO @log_profile : T train: 12.814205 2021-02-05 00:31:46.674: INFO @log_profile : T valid: 1.666997 2021-02-05 00:31:46.674: INFO @log_profile : T read data: 0.397218 2021-02-05 00:31:46.674: INFO @log_profile : T hooks: 4.731126 2021-02-05 00:31:46.674: INFO @main_loop : Epoch 284 done 2021-02-05 00:31:46.674: INFO @main_loop : Training epoch 285 2021-02-05 00:32:01.414: INFO @log_variables: train loss nanmean: 1.164844 2021-02-05 00:32:01.414: INFO @log_variables: train age_loss mean: 8.837869 2021-02-05 00:32:01.414: INFO @log_variables: train gender_loss mean: 0.257211 2021-02-05 00:32:01.414: INFO @log_variables: train age_mae mean: 8.277735 2021-02-05 00:32:01.414: INFO @log_variables: train gender_accuracy mean: 0.893808 2021-02-05 00:32:01.414: INFO @log_variables: train gender_confidence/loss nanmean: 0.067694 2021-02-05 00:32:01.414: INFO @log_variables: train gender_confidence/accuracy mean: 0.786675 2021-02-05 00:32:01.414: INFO @log_variables: train age_confidence/loss mean: 0.059880 2021-02-05 00:32:01.414: INFO @log_variables: train age_confidence/accuracy mean: 0.660518 2021-02-05 00:32:01.414: INFO @log_variables: valid loss nanmean: 1.220371 2021-02-05 00:32:01.415: INFO @log_variables: valid age_loss mean: 9.046629 2021-02-05 00:32:01.415: INFO @log_variables: valid gender_loss mean: 0.287722 2021-02-05 00:32:01.415: INFO @log_variables: valid age_mae mean: 8.468841 2021-02-05 00:32:01.415: INFO @log_variables: valid gender_accuracy mean: 0.886603 2021-02-05 00:32:01.415: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074466 2021-02-05 00:32:01.415: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847717 2021-02-05 00:32:01.415: INFO @log_variables: valid age_confidence/loss mean: 0.061919 2021-02-05 00:32:01.415: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:32:01.415: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:32:01.417: INFO @metrics_hook: train age_mae: 8.278 +-0.147 (13824) 2021-02-05 00:32:01.418: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:32:02.855: INFO @metrics_hook: valid age_mae: 8.469 +-0.270 (3986) 2021-02-05 00:32:02.856: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:32:04.223: INFO @decay_lr : LR updated to `7.1895e-05` 2021-02-05 00:32:04.224: INFO @log_profile : T train: 12.256463 2021-02-05 00:32:04.224: INFO @log_profile : T valid: 1.487606 2021-02-05 00:32:04.224: INFO @log_profile : T read data: 0.393435 2021-02-05 00:32:04.224: INFO @log_profile : T hooks: 3.368144 2021-02-05 00:32:04.224: INFO @main_loop : Epoch 285 done 2021-02-05 00:32:04.224: INFO @main_loop : Training epoch 286 2021-02-05 00:32:18.946: INFO @log_variables: train loss nanmean: 1.164165 2021-02-05 00:32:18.946: INFO @log_variables: train age_loss mean: 8.746434 2021-02-05 00:32:18.946: INFO @log_variables: train gender_loss mean: 0.266505 2021-02-05 00:32:18.946: INFO @log_variables: train age_mae mean: 8.189108 2021-02-05 00:32:18.946: INFO @log_variables: train gender_accuracy mean: 0.888382 2021-02-05 00:32:18.947: INFO @log_variables: train gender_confidence/loss nanmean: 0.068250 2021-02-05 00:32:18.947: INFO @log_variables: train gender_confidence/accuracy mean: 0.790598 2021-02-05 00:32:18.947: INFO @log_variables: train age_confidence/loss mean: 0.058507 2021-02-05 00:32:18.947: INFO @log_variables: train age_confidence/accuracy mean: 0.672751 2021-02-05 00:32:18.947: INFO @log_variables: valid loss nanmean: 1.215142 2021-02-05 00:32:18.947: INFO @log_variables: valid age_loss mean: 9.093605 2021-02-05 00:32:18.947: INFO @log_variables: valid gender_loss mean: 0.279860 2021-02-05 00:32:18.947: INFO @log_variables: valid age_mae mean: 8.513087 2021-02-05 00:32:18.947: INFO @log_variables: valid gender_accuracy mean: 0.888861 2021-02-05 00:32:18.947: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071949 2021-02-05 00:32:18.947: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839187 2021-02-05 00:32:18.947: INFO @log_variables: valid age_confidence/loss mean: 0.062084 2021-02-05 00:32:18.947: INFO @log_variables: valid age_confidence/accuracy mean: 0.636478 2021-02-05 00:32:18.947: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:32:18.949: INFO @metrics_hook: train age_mae: 8.189 +-0.144 (13806) 2021-02-05 00:32:18.951: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13806) 2021-02-05 00:32:20.359: INFO @metrics_hook: valid age_mae: 8.513 +-0.272 (3986) 2021-02-05 00:32:20.360: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:32:21.616: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:32:21.616: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:32:21.617: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:32:21.617: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:32:21.693: INFO @evaluate_confidence: Previous accuracy would be: 88.84 2021-02-05 00:32:21.693: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:32:21.699: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.12, 94.31, 94.47, 94.65, 94.72, 94.87, 95.04, 95.13, 95.27, 95.41, 95.62, 95.87, 96.04, 96.25, 96.37, 96.49, 96.54, 96.78, 96.9, 96.99, 97.19, 97.32, 97.37, 97.57, 97.69, 97.77, 97.94] 2021-02-05 00:32:21.699: INFO @evaluate_confidence: Dropped ratios are: [21.74, 22.76, 23.66, 24.58, 25.58, 26.72, 27.87, 28.83, 29.81, 30.73, 31.84, 32.85, 33.86, 34.98, 35.96, 37.03, 38.06, 38.98, 39.9, 40.87, 41.84, 42.89, 43.92, 45.19, 46.08, 46.97, 47.99] 2021-02-05 00:32:21.704: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:32:21.705: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:32:21.705: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:32:21.705: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:32:21.802: INFO @evaluate_confidence: Previous accuracy would be: 46.37 2021-02-05 00:32:21.802: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:32:21.806: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.12, 61.49, 62.58, 63.86, 65.08, 66.12, 67.49, 68.61, 69.74, 70.87, 71.86, 72.81, 73.52, 74.7, 75.79, 76.63] 2021-02-05 00:32:21.806: INFO @evaluate_confidence: Dropped ratios are: [46.94, 50.02, 52.48, 54.99, 57.58, 59.63, 61.84, 63.91, 65.46, 67.3, 68.83, 70.38, 71.85, 73.18, 74.48, 75.55] 2021-02-05 00:32:21.808: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:32:21.808: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.80 +- 0.20 2021-02-05 00:32:21.808: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.54 +- 0.19 2021-02-05 00:32:21.808: INFO @evaluate_confidence: Average confidence of all samples 0.77 +- 0.22 2021-02-05 00:32:21.882: INFO @evaluate_confidence: Previous accuracy would be: 88.89 2021-02-05 00:32:21.882: INFO @evaluate_confidence: Possible optimal thresholds are: [0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79] 2021-02-05 00:32:21.884: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.93, 94.2, 94.46, 94.47, 94.8, 94.87, 95.13, 95.44, 95.53, 95.65, 95.8, 95.92, 95.94, 96.06, 96.28, 96.53, 96.66, 96.73, 96.73, 96.8, 96.82, 96.96, 97.04, 97.21, 97.25, 97.37] 2021-02-05 00:32:21.884: INFO @evaluate_confidence: Dropped ratios are: [18.99, 20.05, 21.22, 22.38, 23.33, 24.21, 25.34, 26.34, 27.09, 27.97, 28.95, 29.9, 30.86, 31.91, 32.64, 33.49, 34.6, 35.47, 36.33, 37.33, 38.53, 39.66, 40.64, 41.57, 42.6, 43.65] 2021-02-05 00:32:21.885: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:32:21.886: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:32:21.886: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:32:21.886: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:32:21.970: INFO @evaluate_confidence: Previous accuracy would be: 44.10 2021-02-05 00:32:21.970: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:32:21.971: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.73, 57.04, 57.87, 59.08, 60.0, 61.15, 61.74, 62.68, 63.15, 64.59] 2021-02-05 00:32:21.971: INFO @evaluate_confidence: Dropped ratios are: [50.75, 54.57, 57.43, 60.09, 62.74, 65.13, 67.21, 68.74, 70.52, 72.58] 2021-02-05 00:32:21.981: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:32:22.358: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:32:22.423: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:32:22.695: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:32:22.851: INFO @decay_lr : LR updated to `7.153553e-05` 2021-02-05 00:32:22.852: INFO @log_profile : T train: 12.262017 2021-02-05 00:32:22.853: INFO @log_profile : T valid: 1.321197 2021-02-05 00:32:22.853: INFO @log_profile : T read data: 0.515071 2021-02-05 00:32:22.853: INFO @log_profile : T hooks: 4.483539 2021-02-05 00:32:22.853: INFO @main_loop : Epoch 286 done 2021-02-05 00:32:22.853: INFO @main_loop : Training epoch 287 2021-02-05 00:32:38.351: INFO @log_variables: train loss nanmean: 1.168326 2021-02-05 00:32:38.351: INFO @log_variables: train age_loss mean: 8.892998 2021-02-05 00:32:38.351: INFO @log_variables: train gender_loss mean: 0.255713 2021-02-05 00:32:38.351: INFO @log_variables: train age_mae mean: 8.329661 2021-02-05 00:32:38.351: INFO @log_variables: train gender_accuracy mean: 0.893301 2021-02-05 00:32:38.351: INFO @log_variables: train gender_confidence/loss nanmean: 0.068180 2021-02-05 00:32:38.351: INFO @log_variables: train gender_confidence/accuracy mean: 0.788701 2021-02-05 00:32:38.351: INFO @log_variables: train age_confidence/loss mean: 0.059225 2021-02-05 00:32:38.351: INFO @log_variables: train age_confidence/accuracy mean: 0.665943 2021-02-05 00:32:38.351: INFO @log_variables: valid loss nanmean: 1.209538 2021-02-05 00:32:38.352: INFO @log_variables: valid age_loss mean: 9.008372 2021-02-05 00:32:38.352: INFO @log_variables: valid gender_loss mean: 0.280774 2021-02-05 00:32:38.352: INFO @log_variables: valid age_mae mean: 8.424214 2021-02-05 00:32:38.352: INFO @log_variables: valid gender_accuracy mean: 0.887356 2021-02-05 00:32:38.352: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072875 2021-02-05 00:32:38.352: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845208 2021-02-05 00:32:38.352: INFO @log_variables: valid age_confidence/loss mean: 0.062471 2021-02-05 00:32:38.352: INFO @log_variables: valid age_confidence/accuracy mean: 0.636979 2021-02-05 00:32:38.352: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:32:38.354: INFO @metrics_hook: train age_mae: 8.330 +-0.144 (13824) 2021-02-05 00:32:38.355: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13824) 2021-02-05 00:32:39.725: INFO @metrics_hook: valid age_mae: 8.424 +-0.273 (3986) 2021-02-05 00:32:39.725: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:32:41.045: INFO @decay_lr : LR updated to `7.117785e-05` 2021-02-05 00:32:41.046: INFO @log_profile : T train: 12.931252 2021-02-05 00:32:41.046: INFO @log_profile : T valid: 1.528375 2021-02-05 00:32:41.047: INFO @log_profile : T read data: 0.400559 2021-02-05 00:32:41.047: INFO @log_profile : T hooks: 3.285637 2021-02-05 00:32:41.047: INFO @main_loop : Epoch 287 done 2021-02-05 00:32:41.047: INFO @main_loop : Training epoch 288 2021-02-05 00:32:55.977: INFO @log_variables: train loss nanmean: 1.158263 2021-02-05 00:32:55.977: INFO @log_variables: train age_loss mean: 8.731785 2021-02-05 00:32:55.977: INFO @log_variables: train gender_loss mean: 0.262253 2021-02-05 00:32:55.977: INFO @log_variables: train age_mae mean: 8.173793 2021-02-05 00:32:55.977: INFO @log_variables: train gender_accuracy mean: 0.888238 2021-02-05 00:32:55.978: INFO @log_variables: train gender_confidence/loss nanmean: 0.066713 2021-02-05 00:32:55.978: INFO @log_variables: train gender_confidence/accuracy mean: 0.792535 2021-02-05 00:32:55.978: INFO @log_variables: train age_confidence/loss mean: 0.059340 2021-02-05 00:32:55.978: INFO @log_variables: train age_confidence/accuracy mean: 0.664424 2021-02-05 00:32:55.978: INFO @log_variables: valid loss nanmean: 1.215457 2021-02-05 00:32:55.978: INFO @log_variables: valid age_loss mean: 9.086838 2021-02-05 00:32:55.978: INFO @log_variables: valid gender_loss mean: 0.277167 2021-02-05 00:32:55.978: INFO @log_variables: valid age_mae mean: 8.504304 2021-02-05 00:32:55.978: INFO @log_variables: valid gender_accuracy mean: 0.889865 2021-02-05 00:32:55.978: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073975 2021-02-05 00:32:55.978: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845208 2021-02-05 00:32:55.978: INFO @log_variables: valid age_confidence/loss mean: 0.063435 2021-02-05 00:32:55.978: INFO @log_variables: valid age_confidence/accuracy mean: 0.633969 2021-02-05 00:32:55.978: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:32:55.980: INFO @metrics_hook: train age_mae: 8.174 +-0.143 (13824) 2021-02-05 00:32:55.982: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13824) 2021-02-05 00:32:57.370: INFO @metrics_hook: valid age_mae: 8.504 +-0.274 (3986) 2021-02-05 00:32:57.371: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:32:58.587: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:32:58.587: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:32:58.587: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:32:58.587: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:32:58.661: INFO @evaluate_confidence: Previous accuracy would be: 88.82 2021-02-05 00:32:58.661: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:32:58.667: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.98, 94.16, 94.41, 94.62, 94.79, 94.94, 95.13, 95.26, 95.33, 95.39, 95.5, 95.62, 95.75, 95.88, 95.97, 96.13, 96.21, 96.35, 96.46, 96.67, 96.87, 97.02, 97.23, 97.29, 97.34, 97.56, 97.6, 97.72] 2021-02-05 00:32:58.667: INFO @evaluate_confidence: Dropped ratios are: [20.74, 21.74, 22.69, 23.72, 24.66, 25.69, 26.69, 27.65, 28.68, 29.57, 30.66, 31.56, 32.43, 33.46, 34.6, 35.64, 36.6, 37.59, 38.64, 39.84, 40.98, 42.04, 43.1, 44.12, 45.12, 46.14, 46.98, 48.01] 2021-02-05 00:32:58.673: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:32:58.673: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:32:58.673: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:32:58.673: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:32:58.764: INFO @evaluate_confidence: Previous accuracy would be: 46.77 2021-02-05 00:32:58.764: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:32:58.768: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.75, 60.84, 61.9, 62.98, 64.49, 65.6, 66.65, 67.62, 69.2, 70.2, 71.18, 72.36, 73.29, 74.18, 75.06] 2021-02-05 00:32:58.768: INFO @evaluate_confidence: Dropped ratios are: [46.93, 49.76, 52.52, 55.09, 57.65, 59.94, 61.97, 63.69, 65.57, 67.3, 68.83, 70.53, 71.94, 73.3, 74.62] 2021-02-05 00:32:58.770: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:32:58.770: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:32:58.770: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:32:58.770: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:32:58.843: INFO @evaluate_confidence: Previous accuracy would be: 88.99 2021-02-05 00:32:58.843: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:32:58.845: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.04, 94.28, 94.35, 94.5, 94.66, 94.86, 94.91, 95.08, 95.3, 95.45, 95.54, 95.76, 96.09, 96.3, 96.39, 96.65, 96.71, 96.82, 96.93, 96.98, 97.0, 97.07, 97.22, 97.26, 97.24] 2021-02-05 00:32:58.845: INFO @evaluate_confidence: Dropped ratios are: [19.59, 20.6, 21.48, 22.4, 23.43, 24.34, 25.06, 25.99, 26.94, 27.75, 28.63, 29.63, 30.68, 31.46, 32.64, 33.42, 34.47, 35.4, 36.23, 36.95, 38.16, 39.14, 40.44, 41.5, 42.67] 2021-02-05 00:32:58.846: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:32:58.846: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:32:58.846: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:32:58.846: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:32:58.926: INFO @evaluate_confidence: Previous accuracy would be: 44.61 2021-02-05 00:32:58.926: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:32:58.927: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.3, 56.84, 58.05, 58.86, 60.11, 61.25, 62.01, 62.89, 64.24, 64.47] 2021-02-05 00:32:58.927: INFO @evaluate_confidence: Dropped ratios are: [50.33, 53.79, 57.0, 59.38, 61.89, 64.65, 66.98, 68.97, 70.75, 72.53] 2021-02-05 00:32:58.936: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:32:59.294: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:32:59.351: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:32:59.612: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:32:59.769: INFO @decay_lr : LR updated to `7.082196e-05` 2021-02-05 00:32:59.770: INFO @log_profile : T train: 12.541897 2021-02-05 00:32:59.770: INFO @log_profile : T valid: 1.360987 2021-02-05 00:32:59.770: INFO @log_profile : T read data: 0.397814 2021-02-05 00:32:59.770: INFO @log_profile : T hooks: 4.377818 2021-02-05 00:32:59.770: INFO @main_loop : Epoch 288 done 2021-02-05 00:32:59.770: INFO @main_loop : Training epoch 289 2021-02-05 00:33:15.479: INFO @log_variables: train loss nanmean: 1.179193 2021-02-05 00:33:15.479: INFO @log_variables: train age_loss mean: 8.960585 2021-02-05 00:33:15.479: INFO @log_variables: train gender_loss mean: 0.262641 2021-02-05 00:33:15.479: INFO @log_variables: train age_mae mean: 8.393974 2021-02-05 00:33:15.479: INFO @log_variables: train gender_accuracy mean: 0.889975 2021-02-05 00:33:15.479: INFO @log_variables: train gender_confidence/loss nanmean: 0.066338 2021-02-05 00:33:15.479: INFO @log_variables: train gender_confidence/accuracy mean: 0.792989 2021-02-05 00:33:15.479: INFO @log_variables: train age_confidence/loss mean: 0.059492 2021-02-05 00:33:15.480: INFO @log_variables: train age_confidence/accuracy mean: 0.658554 2021-02-05 00:33:15.480: INFO @log_variables: valid loss nanmean: 1.193159 2021-02-05 00:33:15.480: INFO @log_variables: valid age_loss mean: 8.843330 2021-02-05 00:33:15.480: INFO @log_variables: valid gender_loss mean: 0.279123 2021-02-05 00:33:15.480: INFO @log_variables: valid age_mae mean: 8.266427 2021-02-05 00:33:15.480: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:33:15.480: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073363 2021-02-05 00:33:15.480: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846463 2021-02-05 00:33:15.480: INFO @log_variables: valid age_confidence/loss mean: 0.062110 2021-02-05 00:33:15.480: INFO @log_variables: valid age_confidence/accuracy mean: 0.638234 2021-02-05 00:33:15.480: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:33:15.482: INFO @metrics_hook: train age_mae: 8.394 +-0.146 (13806) 2021-02-05 00:33:15.483: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13806) 2021-02-05 00:33:16.874: INFO @metrics_hook: valid age_mae: 8.266 +-0.264 (3986) 2021-02-05 00:33:16.875: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:33:18.181: INFO @decay_lr : LR updated to `7.046785e-05` 2021-02-05 00:33:18.182: INFO @log_profile : T train: 13.038296 2021-02-05 00:33:18.182: INFO @log_profile : T valid: 1.525292 2021-02-05 00:33:18.182: INFO @log_profile : T read data: 0.499431 2021-02-05 00:33:18.182: INFO @log_profile : T hooks: 3.300298 2021-02-05 00:33:18.182: INFO @main_loop : Epoch 289 done 2021-02-05 00:33:18.182: INFO @main_loop : Training epoch 290 2021-02-05 00:33:34.331: INFO @log_variables: train loss nanmean: 1.173133 2021-02-05 00:33:34.331: INFO @log_variables: train age_loss mean: 8.845682 2021-02-05 00:33:34.331: INFO @log_variables: train gender_loss mean: 0.265557 2021-02-05 00:33:34.331: INFO @log_variables: train age_mae mean: 8.281947 2021-02-05 00:33:34.331: INFO @log_variables: train gender_accuracy mean: 0.884404 2021-02-05 00:33:34.331: INFO @log_variables: train gender_confidence/loss nanmean: 0.068009 2021-02-05 00:33:34.331: INFO @log_variables: train gender_confidence/accuracy mean: 0.788845 2021-02-05 00:33:34.331: INFO @log_variables: train age_confidence/loss mean: 0.059556 2021-02-05 00:33:34.331: INFO @log_variables: train age_confidence/accuracy mean: 0.656033 2021-02-05 00:33:34.332: INFO @log_variables: valid loss nanmean: 1.216709 2021-02-05 00:33:34.332: INFO @log_variables: valid age_loss mean: 9.057325 2021-02-05 00:33:34.332: INFO @log_variables: valid gender_loss mean: 0.281723 2021-02-05 00:33:34.332: INFO @log_variables: valid age_mae mean: 8.475267 2021-02-05 00:33:34.332: INFO @log_variables: valid gender_accuracy mean: 0.889865 2021-02-05 00:33:34.332: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074794 2021-02-05 00:33:34.332: INFO @log_variables: valid gender_confidence/accuracy mean: 0.829654 2021-02-05 00:33:34.332: INFO @log_variables: valid age_confidence/loss mean: 0.062410 2021-02-05 00:33:34.332: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:33:34.332: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:33:34.334: INFO @metrics_hook: train age_mae: 8.282 +-0.144 (13824) 2021-02-05 00:33:34.335: INFO @metrics_hook: train gender_accuracy: 0.884 +-0.005 (13824) 2021-02-05 00:33:35.734: INFO @metrics_hook: valid age_mae: 8.475 +-0.271 (3986) 2021-02-05 00:33:35.734: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:33:36.951: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:33:36.951: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:33:36.951: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:33:36.951: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:33:37.024: INFO @evaluate_confidence: Previous accuracy would be: 88.44 2021-02-05 00:33:37.024: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:33:37.030: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.67, 93.98, 94.07, 94.26, 94.41, 94.62, 94.82, 94.99, 95.18, 95.27, 95.46, 95.57, 95.76, 95.92, 96.11, 96.28, 96.42, 96.65, 96.86, 96.97, 97.12, 97.36, 97.45, 97.49, 97.58, 97.66, 97.73, 97.81] 2021-02-05 00:33:37.030: INFO @evaluate_confidence: Dropped ratios are: [21.03, 22.14, 23.13, 23.94, 24.96, 25.95, 26.93, 27.81, 28.78, 29.72, 30.76, 31.84, 32.82, 33.72, 34.77, 35.83, 36.7, 37.72, 38.77, 39.89, 41.17, 42.17, 43.2, 44.1, 45.2, 46.2, 47.21, 48.38] 2021-02-05 00:33:37.036: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:33:37.036: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:33:37.036: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:33:37.036: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:33:37.129: INFO @evaluate_confidence: Previous accuracy would be: 46.04 2021-02-05 00:33:37.129: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:33:37.133: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.0, 60.18, 61.45, 62.3, 63.43, 64.57, 65.49, 66.29, 67.29, 68.11, 69.13, 70.22, 71.27, 72.2, 73.09] 2021-02-05 00:33:37.133: INFO @evaluate_confidence: Dropped ratios are: [48.23, 50.97, 53.62, 55.96, 58.3, 60.37, 62.46, 64.34, 66.21, 67.82, 69.32, 70.78, 72.3, 73.67, 74.94] 2021-02-05 00:33:37.135: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:33:37.135: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:33:37.135: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:33:37.135: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.22 2021-02-05 00:33:37.206: INFO @evaluate_confidence: Previous accuracy would be: 88.99 2021-02-05 00:33:37.206: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:33:37.208: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.65, 93.82, 93.94, 94.04, 94.27, 94.5, 94.81, 94.88, 95.14, 95.21, 95.33, 95.63, 95.88, 96.04, 96.15, 96.27, 96.52, 96.64, 96.64, 96.77, 96.73, 96.93, 96.99, 97.2, 97.39] 2021-02-05 00:33:37.208: INFO @evaluate_confidence: Dropped ratios are: [20.6, 21.22, 22.18, 23.01, 23.83, 24.69, 25.61, 26.49, 27.27, 28.17, 29.13, 29.9, 31.23, 32.19, 32.92, 34.17, 35.07, 35.88, 36.6, 37.83, 38.53, 39.46, 40.79, 41.85, 43.28] 2021-02-05 00:33:37.210: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:33:37.210: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:33:37.210: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:33:37.210: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:33:37.292: INFO @evaluate_confidence: Previous accuracy would be: 44.56 2021-02-05 00:33:37.292: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:33:37.293: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.35, 56.47, 57.98, 58.44, 59.24, 60.22, 61.47, 62.52, 62.99] 2021-02-05 00:33:37.293: INFO @evaluate_confidence: Dropped ratios are: [50.55, 54.06, 57.25, 60.16, 63.07, 65.63, 67.96, 70.15, 72.0] 2021-02-05 00:33:37.302: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:33:37.669: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:33:37.725: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:33:37.998: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:33:38.054: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:33:38.418: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:33:38.473: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:33:38.474: INFO @evaluate_gender-age_model: groups 0 5.017173 1 9.197807 2 8.808597 3 7.950784 4 8.934757 5 9.125708 6 8.952798 7 7.787286 Name: errors, dtype: float64 2021-02-05 00:33:38.474: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:33:38.741: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:33:38.794: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:33:38.794: INFO @evaluate_gender-age_model: groups 0 5.804397 1 6.875881 2 7.647792 3 7.693290 4 9.646655 5 10.317268 6 9.998668 7 8.056768 Name: errors, dtype: float64 2021-02-05 00:33:38.890: INFO @decay_lr : LR updated to `7.0115515e-05` 2021-02-05 00:33:38.891: INFO @log_profile : T train: 12.897726 2021-02-05 00:33:38.891: INFO @log_profile : T valid: 1.631916 2021-02-05 00:33:38.891: INFO @log_profile : T read data: 0.399742 2021-02-05 00:33:38.891: INFO @log_profile : T hooks: 5.730957 2021-02-05 00:33:38.891: INFO @main_loop : Epoch 290 done 2021-02-05 00:33:38.891: INFO @main_loop : Training epoch 291 2021-02-05 00:33:54.311: INFO @log_variables: train loss nanmean: 1.163259 2021-02-05 00:33:54.311: INFO @log_variables: train age_loss mean: 8.807824 2021-02-05 00:33:54.311: INFO @log_variables: train gender_loss mean: 0.258281 2021-02-05 00:33:54.311: INFO @log_variables: train age_mae mean: 8.246416 2021-02-05 00:33:54.311: INFO @log_variables: train gender_accuracy mean: 0.893663 2021-02-05 00:33:54.311: INFO @log_variables: train gender_confidence/loss nanmean: 0.068283 2021-02-05 00:33:54.311: INFO @log_variables: train gender_confidence/accuracy mean: 0.788845 2021-02-05 00:33:54.311: INFO @log_variables: train age_confidence/loss mean: 0.059464 2021-02-05 00:33:54.311: INFO @log_variables: train age_confidence/accuracy mean: 0.662182 2021-02-05 00:33:54.311: INFO @log_variables: valid loss nanmean: 1.210307 2021-02-05 00:33:54.311: INFO @log_variables: valid age_loss mean: 9.024600 2021-02-05 00:33:54.311: INFO @log_variables: valid gender_loss mean: 0.278810 2021-02-05 00:33:54.311: INFO @log_variables: valid age_mae mean: 8.439206 2021-02-05 00:33:54.312: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:33:54.312: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073296 2021-02-05 00:33:54.312: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840442 2021-02-05 00:33:54.312: INFO @log_variables: valid age_confidence/loss mean: 0.063130 2021-02-05 00:33:54.312: INFO @log_variables: valid age_confidence/accuracy mean: 0.626192 2021-02-05 00:33:54.312: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:33:54.314: INFO @metrics_hook: train age_mae: 8.246 +-0.143 (13824) 2021-02-05 00:33:54.315: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:33:55.777: INFO @metrics_hook: valid age_mae: 8.439 +-0.267 (3986) 2021-02-05 00:33:55.778: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:33:57.083: INFO @decay_lr : LR updated to `6.976494e-05` 2021-02-05 00:33:57.084: INFO @log_profile : T train: 12.785595 2021-02-05 00:33:57.084: INFO @log_profile : T valid: 1.584855 2021-02-05 00:33:57.085: INFO @log_profile : T read data: 0.401403 2021-02-05 00:33:57.085: INFO @log_profile : T hooks: 3.372567 2021-02-05 00:33:57.085: INFO @main_loop : Epoch 291 done 2021-02-05 00:33:57.085: INFO @main_loop : Training epoch 292 2021-02-05 00:34:12.697: INFO @log_variables: train loss nanmean: 1.170494 2021-02-05 00:34:12.697: INFO @log_variables: train age_loss mean: 8.876171 2021-02-05 00:34:12.697: INFO @log_variables: train gender_loss mean: 0.261782 2021-02-05 00:34:12.697: INFO @log_variables: train age_mae mean: 8.313948 2021-02-05 00:34:12.697: INFO @log_variables: train gender_accuracy mean: 0.887738 2021-02-05 00:34:12.697: INFO @log_variables: train gender_confidence/loss nanmean: 0.066701 2021-02-05 00:34:12.697: INFO @log_variables: train gender_confidence/accuracy mean: 0.786340 2021-02-05 00:34:12.697: INFO @log_variables: train age_confidence/loss mean: 0.058885 2021-02-05 00:34:12.697: INFO @log_variables: train age_confidence/accuracy mean: 0.666256 2021-02-05 00:34:12.697: INFO @log_variables: valid loss nanmean: 1.211084 2021-02-05 00:34:12.697: INFO @log_variables: valid age_loss mean: 9.052289 2021-02-05 00:34:12.697: INFO @log_variables: valid gender_loss mean: 0.278325 2021-02-05 00:34:12.697: INFO @log_variables: valid age_mae mean: 8.474072 2021-02-05 00:34:12.698: INFO @log_variables: valid gender_accuracy mean: 0.893377 2021-02-05 00:34:12.698: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074053 2021-02-05 00:34:12.698: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845208 2021-02-05 00:34:12.698: INFO @log_variables: valid age_confidence/loss mean: 0.061073 2021-02-05 00:34:12.698: INFO @log_variables: valid age_confidence/accuracy mean: 0.632965 2021-02-05 00:34:12.698: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:34:12.700: INFO @metrics_hook: train age_mae: 8.314 +-0.146 (13807) 2021-02-05 00:34:12.701: INFO @metrics_hook: train gender_accuracy: 0.888 +-0.005 (13807) 2021-02-05 00:34:14.105: INFO @metrics_hook: valid age_mae: 8.474 +-0.267 (3986) 2021-02-05 00:34:14.105: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:34:15.364: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:34:15.364: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:34:15.364: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:34:15.364: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:34:15.440: INFO @evaluate_confidence: Previous accuracy would be: 88.77 2021-02-05 00:34:15.440: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:34:15.446: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.74, 93.93, 94.16, 94.31, 94.57, 94.75, 94.98, 95.13, 95.32, 95.44, 95.68, 95.81, 96.02, 96.14, 96.34, 96.49, 96.67, 96.84, 96.93, 97.03, 97.16, 97.31, 97.46, 97.59, 97.72, 97.84, 97.97, 98.04] 2021-02-05 00:34:15.446: INFO @evaluate_confidence: Dropped ratios are: [21.71, 22.71, 23.67, 24.57, 25.64, 26.63, 27.65, 28.57, 29.48, 30.31, 31.3, 32.46, 33.5, 34.45, 35.32, 36.37, 37.45, 38.37, 39.35, 40.31, 41.26, 42.29, 43.25, 44.18, 45.25, 46.35, 47.53, 48.56] 2021-02-05 00:34:15.451: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:34:15.452: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:34:15.452: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:34:15.452: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:34:15.546: INFO @evaluate_confidence: Previous accuracy would be: 45.99 2021-02-05 00:34:15.546: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:34:15.550: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.36, 60.31, 61.77, 63.02, 64.08, 65.26, 66.31, 67.51, 68.68, 69.88, 70.6, 71.55, 72.28, 73.27, 74.11] 2021-02-05 00:34:15.550: INFO @evaluate_confidence: Dropped ratios are: [47.17, 50.25, 53.22, 55.89, 58.17, 60.28, 62.36, 64.49, 66.42, 68.26, 69.8, 71.23, 72.62, 73.98, 75.3] 2021-02-05 00:34:15.552: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:34:15.552: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:34:15.552: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:34:15.552: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:34:15.626: INFO @evaluate_confidence: Previous accuracy would be: 89.34 2021-02-05 00:34:15.627: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:34:15.628: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.15, 94.27, 94.37, 94.61, 94.79, 94.96, 95.14, 95.32, 95.41, 95.55, 95.61, 95.84, 96.04, 96.18, 96.24, 96.4, 96.62, 96.74, 96.78, 96.85, 97.15, 97.26, 97.3, 97.39, 97.51] 2021-02-05 00:34:15.628: INFO @evaluate_confidence: Dropped ratios are: [19.82, 20.8, 21.53, 22.28, 23.01, 23.83, 24.61, 25.46, 26.24, 27.2, 27.92, 28.8, 29.6, 30.33, 31.31, 32.44, 33.27, 34.57, 35.4, 36.33, 37.43, 38.61, 39.69, 40.52, 41.52] 2021-02-05 00:34:15.630: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:34:15.630: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:34:15.630: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:34:15.630: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:34:15.713: INFO @evaluate_confidence: Previous accuracy would be: 42.65 2021-02-05 00:34:15.713: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:34:15.715: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.99, 55.17, 56.28, 57.44, 57.57, 58.6, 58.79, 59.63, 60.43, 61.69] 2021-02-05 00:34:15.715: INFO @evaluate_confidence: Dropped ratios are: [50.65, 54.11, 56.85, 59.68, 62.39, 64.85, 66.88, 69.12, 70.9, 72.75] 2021-02-05 00:34:15.724: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:34:16.097: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:34:16.160: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:34:16.431: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:34:16.586: INFO @decay_lr : LR updated to `6.941611e-05` 2021-02-05 00:34:16.785: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:34:16.787: INFO @log_profile : T train: 12.920550 2021-02-05 00:34:16.787: INFO @log_profile : T valid: 1.555873 2021-02-05 00:34:16.788: INFO @log_profile : T read data: 0.496588 2021-02-05 00:34:16.788: INFO @log_profile : T hooks: 4.681188 2021-02-05 00:34:16.788: INFO @main_loop : Epoch 292 done 2021-02-05 00:34:16.788: INFO @main_loop : Training epoch 293 2021-02-05 00:34:31.625: INFO @log_variables: train loss nanmean: 1.150996 2021-02-05 00:34:31.625: INFO @log_variables: train age_loss mean: 8.670928 2021-02-05 00:34:31.625: INFO @log_variables: train gender_loss mean: 0.259276 2021-02-05 00:34:31.625: INFO @log_variables: train age_mae mean: 8.114803 2021-02-05 00:34:31.625: INFO @log_variables: train gender_accuracy mean: 0.889468 2021-02-05 00:34:31.625: INFO @log_variables: train gender_confidence/loss nanmean: 0.066995 2021-02-05 00:34:31.625: INFO @log_variables: train gender_confidence/accuracy mean: 0.791233 2021-02-05 00:34:31.625: INFO @log_variables: train age_confidence/loss mean: 0.060029 2021-02-05 00:34:31.625: INFO @log_variables: train age_confidence/accuracy mean: 0.661386 2021-02-05 00:34:31.625: INFO @log_variables: valid loss nanmean: 1.201145 2021-02-05 00:34:31.625: INFO @log_variables: valid age_loss mean: 8.903402 2021-02-05 00:34:31.625: INFO @log_variables: valid gender_loss mean: 0.278960 2021-02-05 00:34:31.625: INFO @log_variables: valid age_mae mean: 8.325448 2021-02-05 00:34:31.626: INFO @log_variables: valid gender_accuracy mean: 0.893628 2021-02-05 00:34:31.626: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074845 2021-02-05 00:34:31.626: INFO @log_variables: valid gender_confidence/accuracy mean: 0.854240 2021-02-05 00:34:31.626: INFO @log_variables: valid age_confidence/loss mean: 0.063299 2021-02-05 00:34:31.626: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-05 00:34:31.626: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:34:31.628: INFO @metrics_hook: train age_mae: 8.115 +-0.142 (13824) 2021-02-05 00:34:31.629: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:34:33.120: INFO @metrics_hook: valid age_mae: 8.325 +-0.268 (3986) 2021-02-05 00:34:33.120: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:34:34.538: INFO @decay_lr : LR updated to `6.9069036e-05` 2021-02-05 00:34:34.758: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:34:34.761: INFO @log_profile : T train: 12.351801 2021-02-05 00:34:34.761: INFO @log_profile : T valid: 1.456380 2021-02-05 00:34:34.761: INFO @log_profile : T read data: 0.392708 2021-02-05 00:34:34.761: INFO @log_profile : T hooks: 3.726173 2021-02-05 00:34:34.761: INFO @main_loop : Epoch 293 done 2021-02-05 00:34:34.761: INFO @main_loop : Training epoch 294 2021-02-05 00:34:50.391: INFO @log_variables: train loss nanmean: 1.176122 2021-02-05 00:34:50.391: INFO @log_variables: train age_loss mean: 8.859250 2021-02-05 00:34:50.391: INFO @log_variables: train gender_loss mean: 0.267188 2021-02-05 00:34:50.391: INFO @log_variables: train age_mae mean: 8.294405 2021-02-05 00:34:50.391: INFO @log_variables: train gender_accuracy mean: 0.885689 2021-02-05 00:34:50.391: INFO @log_variables: train gender_confidence/loss nanmean: 0.067977 2021-02-05 00:34:50.391: INFO @log_variables: train gender_confidence/accuracy mean: 0.783534 2021-02-05 00:34:50.391: INFO @log_variables: train age_confidence/loss mean: 0.059861 2021-02-05 00:34:50.391: INFO @log_variables: train age_confidence/accuracy mean: 0.656924 2021-02-05 00:34:50.391: INFO @log_variables: valid loss nanmean: 1.210433 2021-02-05 00:34:50.391: INFO @log_variables: valid age_loss mean: 9.088703 2021-02-05 00:34:50.391: INFO @log_variables: valid gender_loss mean: 0.274073 2021-02-05 00:34:50.391: INFO @log_variables: valid age_mae mean: 8.509232 2021-02-05 00:34:50.391: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 00:34:50.392: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073581 2021-02-05 00:34:50.392: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845961 2021-02-05 00:34:50.392: INFO @log_variables: valid age_confidence/loss mean: 0.061449 2021-02-05 00:34:50.392: INFO @log_variables: valid age_confidence/accuracy mean: 0.632965 2021-02-05 00:34:50.392: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:34:50.393: INFO @metrics_hook: train age_mae: 8.294 +-0.147 (13822) 2021-02-05 00:34:50.395: INFO @metrics_hook: train gender_accuracy: 0.886 +-0.005 (13822) 2021-02-05 00:34:51.778: INFO @metrics_hook: valid age_mae: 8.509 +-0.266 (3986) 2021-02-05 00:34:51.778: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:34:52.981: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:34:52.981: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:34:52.981: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:34:52.981: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:34:53.055: INFO @evaluate_confidence: Previous accuracy would be: 88.57 2021-02-05 00:34:53.055: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:34:53.060: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.8, 94.06, 94.26, 94.52, 94.76, 94.95, 95.1, 95.28, 95.38, 95.52, 95.63, 95.73, 95.88, 96.02, 96.2, 96.33, 96.44, 96.54, 96.76, 96.97, 97.1, 97.21, 97.32, 97.41, 97.6, 97.76] 2021-02-05 00:34:53.060: INFO @evaluate_confidence: Dropped ratios are: [22.03, 22.98, 24.05, 25.01, 26.07, 27.0, 27.9, 28.9, 29.98, 30.91, 31.92, 32.9, 33.88, 34.93, 35.89, 36.93, 37.82, 38.79, 39.96, 41.09, 42.01, 43.17, 44.02, 45.02, 46.17, 47.21, 48.26] 2021-02-05 00:34:53.066: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:34:53.066: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:34:53.066: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:34:53.066: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:34:53.160: INFO @evaluate_confidence: Previous accuracy would be: 46.21 2021-02-05 00:34:53.160: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:34:53.164: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.57, 60.61, 61.59, 62.55, 63.7, 65.12, 66.32, 67.25, 68.31, 69.24, 70.45, 71.45, 72.7, 73.71] 2021-02-05 00:34:53.164: INFO @evaluate_confidence: Dropped ratios are: [49.7, 52.48, 55.13, 57.5, 59.96, 62.08, 64.1, 65.8, 67.51, 69.22, 70.77, 72.2, 73.48, 74.74] 2021-02-05 00:34:53.165: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:34:53.165: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:34:53.165: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:34:53.165: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:34:53.237: INFO @evaluate_confidence: Previous accuracy would be: 89.44 2021-02-05 00:34:53.237: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:34:53.239: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.39, 94.6, 94.71, 94.84, 94.95, 95.22, 95.44, 95.56, 95.67, 95.75, 95.92, 96.01, 96.24, 96.31, 96.44, 96.47, 96.62, 96.79, 96.82, 96.99, 97.07, 97.13, 97.13, 97.25, 97.4, 97.57] 2021-02-05 00:34:53.239: INFO @evaluate_confidence: Dropped ratios are: [19.07, 20.02, 20.77, 21.65, 22.48, 23.36, 24.06, 24.81, 25.82, 26.84, 27.97, 28.98, 29.88, 30.68, 31.69, 32.49, 33.27, 34.27, 35.27, 35.9, 36.7, 37.91, 38.74, 39.71, 41.12, 42.25] 2021-02-05 00:34:53.241: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:34:53.241: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:34:53.241: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:34:53.241: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:34:53.323: INFO @evaluate_confidence: Previous accuracy would be: 43.18 2021-02-05 00:34:53.323: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:34:53.324: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [53.72, 54.74, 55.58, 56.58, 58.41, 59.53, 60.08, 60.9, 61.95] 2021-02-05 00:34:53.324: INFO @evaluate_confidence: Dropped ratios are: [51.15, 54.77, 57.7, 60.36, 63.32, 66.16, 68.14, 70.3, 71.98] 2021-02-05 00:34:53.333: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:34:53.700: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:34:53.764: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:34:54.039: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:34:54.195: INFO @decay_lr : LR updated to `6.872369e-05` 2021-02-05 00:34:54.405: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:34:54.407: INFO @log_profile : T train: 13.009295 2021-02-05 00:34:54.407: INFO @log_profile : T valid: 1.562328 2021-02-05 00:34:54.407: INFO @log_profile : T read data: 0.413246 2021-02-05 00:34:54.407: INFO @log_profile : T hooks: 4.611813 2021-02-05 00:34:54.407: INFO @main_loop : Epoch 294 done 2021-02-05 00:34:54.407: INFO @main_loop : Training epoch 295 2021-02-05 00:35:10.007: INFO @log_variables: train loss nanmean: 1.152374 2021-02-05 00:35:10.007: INFO @log_variables: train age_loss mean: 8.743587 2021-02-05 00:35:10.009: INFO @log_variables: train gender_loss mean: 0.255269 2021-02-05 00:35:10.009: INFO @log_variables: train age_mae mean: 8.185613 2021-02-05 00:35:10.009: INFO @log_variables: train gender_accuracy mean: 0.889694 2021-02-05 00:35:10.009: INFO @log_variables: train gender_confidence/loss nanmean: 0.066384 2021-02-05 00:35:10.009: INFO @log_variables: train gender_confidence/accuracy mean: 0.795901 2021-02-05 00:35:10.009: INFO @log_variables: train age_confidence/loss mean: 0.059056 2021-02-05 00:35:10.009: INFO @log_variables: train age_confidence/accuracy mean: 0.670529 2021-02-05 00:35:10.009: INFO @log_variables: valid loss nanmean: 1.208321 2021-02-05 00:35:10.009: INFO @log_variables: valid age_loss mean: 8.978719 2021-02-05 00:35:10.009: INFO @log_variables: valid gender_loss mean: 0.277314 2021-02-05 00:35:10.009: INFO @log_variables: valid age_mae mean: 8.392609 2021-02-05 00:35:10.009: INFO @log_variables: valid gender_accuracy mean: 0.893126 2021-02-05 00:35:10.009: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076109 2021-02-05 00:35:10.009: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846212 2021-02-05 00:35:10.010: INFO @log_variables: valid age_confidence/loss mean: 0.063861 2021-02-05 00:35:10.010: INFO @log_variables: valid age_confidence/accuracy mean: 0.630206 2021-02-05 00:35:10.010: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:35:10.011: INFO @metrics_hook: train age_mae: 8.186 +-0.141 (13807) 2021-02-05 00:35:10.013: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13807) 2021-02-05 00:35:11.426: INFO @metrics_hook: valid age_mae: 8.393 +-0.273 (3986) 2021-02-05 00:35:11.427: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:35:12.763: INFO @decay_lr : LR updated to `6.838007e-05` 2021-02-05 00:35:12.764: INFO @log_profile : T train: 12.887465 2021-02-05 00:35:12.764: INFO @log_profile : T valid: 1.566587 2021-02-05 00:35:12.764: INFO @log_profile : T read data: 0.510396 2021-02-05 00:35:12.764: INFO @log_profile : T hooks: 3.344416 2021-02-05 00:35:12.764: INFO @main_loop : Epoch 295 done 2021-02-05 00:35:12.764: INFO @main_loop : Training epoch 296 2021-02-05 00:35:27.662: INFO @log_variables: train loss nanmean: 1.169657 2021-02-05 00:35:27.663: INFO @log_variables: train age_loss mean: 8.794984 2021-02-05 00:35:27.663: INFO @log_variables: train gender_loss mean: 0.266022 2021-02-05 00:35:27.663: INFO @log_variables: train age_mae mean: 8.234087 2021-02-05 00:35:27.663: INFO @log_variables: train gender_accuracy mean: 0.888889 2021-02-05 00:35:27.663: INFO @log_variables: train gender_confidence/loss nanmean: 0.068566 2021-02-05 00:35:27.663: INFO @log_variables: train gender_confidence/accuracy mean: 0.781105 2021-02-05 00:35:27.663: INFO @log_variables: train age_confidence/loss mean: 0.059708 2021-02-05 00:35:27.663: INFO @log_variables: train age_confidence/accuracy mean: 0.662399 2021-02-05 00:35:27.663: INFO @log_variables: valid loss nanmean: 1.194761 2021-02-05 00:35:27.663: INFO @log_variables: valid age_loss mean: 8.906088 2021-02-05 00:35:27.663: INFO @log_variables: valid gender_loss mean: 0.273206 2021-02-05 00:35:27.663: INFO @log_variables: valid age_mae mean: 8.328584 2021-02-05 00:35:27.663: INFO @log_variables: valid gender_accuracy mean: 0.895635 2021-02-05 00:35:27.663: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074648 2021-02-05 00:35:27.663: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845961 2021-02-05 00:35:27.664: INFO @log_variables: valid age_confidence/loss mean: 0.062100 2021-02-05 00:35:27.664: INFO @log_variables: valid age_confidence/accuracy mean: 0.638485 2021-02-05 00:35:27.664: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:35:27.665: INFO @metrics_hook: train age_mae: 8.234 +-0.144 (13824) 2021-02-05 00:35:27.667: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:35:29.110: INFO @metrics_hook: valid age_mae: 8.329 +-0.267 (3986) 2021-02-05 00:35:29.111: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 00:35:30.382: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:35:30.382: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:35:30.382: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:35:30.382: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:35:30.460: INFO @evaluate_confidence: Previous accuracy would be: 88.89 2021-02-05 00:35:30.460: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:35:30.465: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.73, 93.88, 94.05, 94.32, 94.48, 94.67, 94.78, 94.97, 95.18, 95.23, 95.41, 95.53, 95.69, 95.87, 96.08, 96.28, 96.38, 96.53, 96.68, 96.79, 96.99, 97.15, 97.21, 97.35, 97.49, 97.58, 97.66] 2021-02-05 00:35:30.465: INFO @evaluate_confidence: Dropped ratios are: [21.93, 23.01, 23.96, 25.07, 26.08, 27.11, 28.03, 29.05, 29.98, 30.92, 32.11, 33.07, 34.09, 35.08, 36.27, 37.17, 38.09, 38.95, 39.91, 40.82, 41.82, 42.9, 43.91, 44.96, 46.12, 47.0, 48.03] 2021-02-05 00:35:30.471: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:35:30.471: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:35:30.471: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:35:30.472: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:35:30.567: INFO @evaluate_confidence: Previous accuracy would be: 46.40 2021-02-05 00:35:30.567: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:35:30.570: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.97, 61.17, 62.37, 63.51, 64.84, 65.93, 67.02, 68.09, 69.23, 70.23, 71.03, 72.2, 72.81, 73.68] 2021-02-05 00:35:30.570: INFO @evaluate_confidence: Dropped ratios are: [49.47, 52.14, 54.75, 57.16, 59.56, 61.55, 63.35, 65.38, 67.11, 68.63, 70.09, 71.43, 72.73, 73.94] 2021-02-05 00:35:30.572: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:35:30.572: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:35:30.572: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:35:30.572: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:35:30.646: INFO @evaluate_confidence: Previous accuracy would be: 89.56 2021-02-05 00:35:30.647: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:35:30.648: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.29, 94.5, 94.64, 94.72, 94.92, 95.05, 95.06, 95.36, 95.47, 95.62, 95.87, 95.98, 96.01, 95.99, 96.09, 96.18, 96.36, 96.41, 96.66, 96.77, 96.92, 97.07, 97.3, 97.38, 97.55] 2021-02-05 00:35:30.648: INFO @evaluate_confidence: Dropped ratios are: [19.64, 20.62, 21.42, 22.03, 22.96, 23.51, 24.28, 25.36, 26.39, 27.2, 28.35, 29.4, 30.28, 31.23, 32.06, 33.09, 33.89, 34.97, 36.1, 37.16, 38.08, 39.21, 40.57, 41.67, 42.6] 2021-02-05 00:35:30.650: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:35:30.650: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:35:30.650: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:35:30.650: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:35:30.749: INFO @evaluate_confidence: Previous accuracy would be: 44.71 2021-02-05 00:35:30.749: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:35:30.750: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.38, 57.41, 58.71, 59.27, 61.09, 62.24, 63.38, 63.83, 65.04, 65.5] 2021-02-05 00:35:30.750: INFO @evaluate_confidence: Dropped ratios are: [50.88, 53.94, 56.67, 59.96, 62.67, 65.05, 67.39, 69.07, 71.22, 72.65] 2021-02-05 00:35:30.760: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:35:31.155: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:35:31.217: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:35:31.494: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:35:31.684: INFO @decay_lr : LR updated to `6.803817e-05` 2021-02-05 00:35:31.916: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:35:31.918: INFO @log_profile : T train: 12.482235 2021-02-05 00:35:31.918: INFO @log_profile : T valid: 1.399791 2021-02-05 00:35:31.918: INFO @log_profile : T read data: 0.395915 2021-02-05 00:35:31.918: INFO @log_profile : T hooks: 4.830371 2021-02-05 00:35:31.918: INFO @main_loop : Epoch 296 done 2021-02-05 00:35:31.918: INFO @main_loop : Training epoch 297 2021-02-05 00:35:47.526: INFO @log_variables: train loss nanmean: 1.147019 2021-02-05 00:35:47.526: INFO @log_variables: train age_loss mean: 8.697755 2021-02-05 00:35:47.527: INFO @log_variables: train gender_loss mean: 0.253124 2021-02-05 00:35:47.527: INFO @log_variables: train age_mae mean: 8.140529 2021-02-05 00:35:47.527: INFO @log_variables: train gender_accuracy mean: 0.892940 2021-02-05 00:35:47.527: INFO @log_variables: train gender_confidence/loss nanmean: 0.066702 2021-02-05 00:35:47.527: INFO @log_variables: train gender_confidence/accuracy mean: 0.796152 2021-02-05 00:35:47.527: INFO @log_variables: train age_confidence/loss mean: 0.059499 2021-02-05 00:35:47.527: INFO @log_variables: train age_confidence/accuracy mean: 0.663701 2021-02-05 00:35:47.527: INFO @log_variables: valid loss nanmean: 1.197234 2021-02-05 00:35:47.527: INFO @log_variables: valid age_loss mean: 8.864058 2021-02-05 00:35:47.527: INFO @log_variables: valid gender_loss mean: 0.279666 2021-02-05 00:35:47.527: INFO @log_variables: valid age_mae mean: 8.287428 2021-02-05 00:35:47.527: INFO @log_variables: valid gender_accuracy mean: 0.890617 2021-02-05 00:35:47.527: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075478 2021-02-05 00:35:47.527: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851982 2021-02-05 00:35:47.527: INFO @log_variables: valid age_confidence/loss mean: 0.061690 2021-02-05 00:35:47.527: INFO @log_variables: valid age_confidence/accuracy mean: 0.632965 2021-02-05 00:35:47.527: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:35:47.529: INFO @metrics_hook: train age_mae: 8.141 +-0.142 (13824) 2021-02-05 00:35:47.531: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13824) 2021-02-05 00:35:48.950: INFO @metrics_hook: valid age_mae: 8.287 +-0.262 (3986) 2021-02-05 00:35:48.950: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:35:50.309: INFO @decay_lr : LR updated to `6.769798e-05` 2021-02-05 00:35:50.311: INFO @log_profile : T train: 12.965166 2021-02-05 00:35:50.311: INFO @log_profile : T valid: 1.591720 2021-02-05 00:35:50.311: INFO @log_profile : T read data: 0.398316 2021-02-05 00:35:50.311: INFO @log_profile : T hooks: 3.388083 2021-02-05 00:35:50.311: INFO @main_loop : Epoch 297 done 2021-02-05 00:35:50.311: INFO @main_loop : Training epoch 298 2021-02-05 00:36:05.922: INFO @log_variables: train loss nanmean: 1.150352 2021-02-05 00:36:05.922: INFO @log_variables: train age_loss mean: 8.831085 2021-02-05 00:36:05.922: INFO @log_variables: train gender_loss mean: 0.244557 2021-02-05 00:36:05.922: INFO @log_variables: train age_mae mean: 8.269520 2021-02-05 00:36:05.922: INFO @log_variables: train gender_accuracy mean: 0.897588 2021-02-05 00:36:05.923: INFO @log_variables: train gender_confidence/loss nanmean: 0.065969 2021-02-05 00:36:05.923: INFO @log_variables: train gender_confidence/accuracy mean: 0.801333 2021-02-05 00:36:05.923: INFO @log_variables: train age_confidence/loss mean: 0.059232 2021-02-05 00:36:05.923: INFO @log_variables: train age_confidence/accuracy mean: 0.663576 2021-02-05 00:36:05.923: INFO @log_variables: valid loss nanmean: 1.203720 2021-02-05 00:36:05.923: INFO @log_variables: valid age_loss mean: 8.992373 2021-02-05 00:36:05.923: INFO @log_variables: valid gender_loss mean: 0.273162 2021-02-05 00:36:05.923: INFO @log_variables: valid age_mae mean: 8.410684 2021-02-05 00:36:05.923: INFO @log_variables: valid gender_accuracy mean: 0.893377 2021-02-05 00:36:05.923: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074535 2021-02-05 00:36:05.923: INFO @log_variables: valid gender_confidence/accuracy mean: 0.856498 2021-02-05 00:36:05.923: INFO @log_variables: valid age_confidence/loss mean: 0.063368 2021-02-05 00:36:05.923: INFO @log_variables: valid age_confidence/accuracy mean: 0.625690 2021-02-05 00:36:05.923: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:36:05.925: INFO @metrics_hook: train age_mae: 8.270 +-0.145 (13807) 2021-02-05 00:36:05.926: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13807) 2021-02-05 00:36:07.350: INFO @metrics_hook: valid age_mae: 8.411 +-0.270 (3986) 2021-02-05 00:36:07.350: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:36:08.677: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:36:08.677: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:36:08.677: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:36:08.677: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:36:08.756: INFO @evaluate_confidence: Previous accuracy would be: 89.76 2021-02-05 00:36:08.757: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:36:08.762: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.5, 94.71, 94.86, 95.09, 95.22, 95.34, 95.48, 95.61, 95.78, 95.94, 96.15, 96.3, 96.43, 96.52, 96.64, 96.75, 96.85, 97.01, 97.14, 97.2, 97.29, 97.41, 97.49, 97.58, 97.71, 97.81, 97.98, 98.07, 98.21] 2021-02-05 00:36:08.762: INFO @evaluate_confidence: Dropped ratios are: [19.66, 20.66, 21.57, 22.49, 23.55, 24.49, 25.3, 26.2, 27.07, 28.04, 29.05, 30.03, 31.01, 31.85, 32.71, 33.81, 34.73, 35.76, 36.7, 37.74, 38.77, 39.66, 40.57, 41.54, 42.64, 43.56, 44.52, 45.7, 46.93] 2021-02-05 00:36:08.768: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:36:08.768: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:36:08.768: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:36:08.768: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:36:08.860: INFO @evaluate_confidence: Previous accuracy would be: 45.89 2021-02-05 00:36:08.861: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:36:08.864: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.1, 59.91, 61.03, 62.3, 63.35, 64.47, 65.65, 66.61, 67.75, 68.82, 69.65, 70.49, 71.12, 72.27, 73.13] 2021-02-05 00:36:08.864: INFO @evaluate_confidence: Dropped ratios are: [47.93, 50.55, 53.28, 55.78, 57.97, 60.13, 62.14, 64.03, 65.89, 67.48, 68.95, 70.45, 71.73, 73.12, 74.18] 2021-02-05 00:36:08.866: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:36:08.866: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 00:36:08.866: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 00:36:08.866: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.20 2021-02-05 00:36:08.938: INFO @evaluate_confidence: Previous accuracy would be: 89.34 2021-02-05 00:36:08.938: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:36:08.940: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.05, 94.13, 94.53, 94.57, 94.65, 94.76, 94.98, 95.12, 95.33, 95.34, 95.52, 95.71, 95.83, 96.06, 96.33, 96.61, 96.71, 96.81, 96.99, 96.96, 97.11, 97.18, 97.23, 97.31, 97.38] 2021-02-05 00:36:08.940: INFO @evaluate_confidence: Dropped ratios are: [18.69, 19.59, 20.62, 21.4, 22.2, 22.96, 24.01, 24.89, 25.84, 26.84, 27.77, 28.65, 29.55, 30.58, 31.66, 32.71, 33.59, 34.67, 35.73, 36.53, 37.48, 38.53, 39.31, 40.29, 41.52] 2021-02-05 00:36:08.942: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:36:08.942: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:36:08.942: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:36:08.942: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:36:09.025: INFO @evaluate_confidence: Previous accuracy would be: 44.61 2021-02-05 00:36:09.025: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:36:09.026: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.96, 57.99, 59.07, 59.59, 60.62, 60.86, 61.56, 62.26, 62.91] 2021-02-05 00:36:09.026: INFO @evaluate_confidence: Dropped ratios are: [54.42, 57.48, 60.16, 62.87, 65.15, 67.31, 69.07, 70.75, 72.4] 2021-02-05 00:36:09.035: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:36:09.439: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:09.497: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:36:09.777: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:09.931: INFO @decay_lr : LR updated to `6.735949e-05` 2021-02-05 00:36:09.932: INFO @log_profile : T train: 12.855211 2021-02-05 00:36:09.932: INFO @log_profile : T valid: 1.601891 2021-02-05 00:36:09.932: INFO @log_profile : T read data: 0.507986 2021-02-05 00:36:09.932: INFO @log_profile : T hooks: 4.606972 2021-02-05 00:36:09.932: INFO @main_loop : Epoch 298 done 2021-02-05 00:36:09.932: INFO @main_loop : Training epoch 299 2021-02-05 00:36:25.199: INFO @log_variables: train loss nanmean: 1.148884 2021-02-05 00:36:25.199: INFO @log_variables: train age_loss mean: 8.689800 2021-02-05 00:36:25.199: INFO @log_variables: train gender_loss mean: 0.254982 2021-02-05 00:36:25.199: INFO @log_variables: train age_mae mean: 8.132857 2021-02-05 00:36:25.199: INFO @log_variables: train gender_accuracy mean: 0.894459 2021-02-05 00:36:25.199: INFO @log_variables: train gender_confidence/loss nanmean: 0.067950 2021-02-05 00:36:25.199: INFO @log_variables: train gender_confidence/accuracy mean: 0.793258 2021-02-05 00:36:25.199: INFO @log_variables: train age_confidence/loss mean: 0.059151 2021-02-05 00:36:25.199: INFO @log_variables: train age_confidence/accuracy mean: 0.665943 2021-02-05 00:36:25.199: INFO @log_variables: valid loss nanmean: 1.206341 2021-02-05 00:36:25.199: INFO @log_variables: valid age_loss mean: 8.926232 2021-02-05 00:36:25.199: INFO @log_variables: valid gender_loss mean: 0.281429 2021-02-05 00:36:25.199: INFO @log_variables: valid age_mae mean: 8.348124 2021-02-05 00:36:25.199: INFO @log_variables: valid gender_accuracy mean: 0.890868 2021-02-05 00:36:25.199: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077749 2021-02-05 00:36:25.199: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848219 2021-02-05 00:36:25.199: INFO @log_variables: valid age_confidence/loss mean: 0.061272 2021-02-05 00:36:25.199: INFO @log_variables: valid age_confidence/accuracy mean: 0.643251 2021-02-05 00:36:25.199: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:36:25.200: INFO @metrics_hook: train age_mae: 8.133 +-0.142 (13824) 2021-02-05 00:36:25.201: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:36:26.622: INFO @metrics_hook: valid age_mae: 8.348 +-0.262 (3986) 2021-02-05 00:36:26.623: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:36:27.974: INFO @decay_lr : LR updated to `6.7022695e-05` 2021-02-05 00:36:27.975: INFO @log_profile : T train: 12.767430 2021-02-05 00:36:27.975: INFO @log_profile : T valid: 1.495777 2021-02-05 00:36:27.975: INFO @log_profile : T read data: 0.399438 2021-02-05 00:36:27.975: INFO @log_profile : T hooks: 3.332913 2021-02-05 00:36:27.975: INFO @main_loop : Epoch 299 done 2021-02-05 00:36:27.975: INFO @main_loop : Training epoch 300 2021-02-05 00:36:43.903: INFO @log_variables: train loss nanmean: 1.157589 2021-02-05 00:36:43.903: INFO @log_variables: train age_loss mean: 8.699795 2021-02-05 00:36:43.903: INFO @log_variables: train gender_loss mean: 0.261784 2021-02-05 00:36:43.903: INFO @log_variables: train age_mae mean: 8.142956 2021-02-05 00:36:43.903: INFO @log_variables: train gender_accuracy mean: 0.890780 2021-02-05 00:36:43.903: INFO @log_variables: train gender_confidence/loss nanmean: 0.069339 2021-02-05 00:36:43.903: INFO @log_variables: train gender_confidence/accuracy mean: 0.787572 2021-02-05 00:36:43.903: INFO @log_variables: train age_confidence/loss mean: 0.059374 2021-02-05 00:36:43.903: INFO @log_variables: train age_confidence/accuracy mean: 0.666111 2021-02-05 00:36:43.903: INFO @log_variables: valid loss nanmean: 1.212304 2021-02-05 00:36:43.903: INFO @log_variables: valid age_loss mean: 9.018810 2021-02-05 00:36:43.903: INFO @log_variables: valid gender_loss mean: 0.282801 2021-02-05 00:36:43.903: INFO @log_variables: valid age_mae mean: 8.438174 2021-02-05 00:36:43.903: INFO @log_variables: valid gender_accuracy mean: 0.888610 2021-02-05 00:36:43.903: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073820 2021-02-05 00:36:43.904: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840943 2021-02-05 00:36:43.904: INFO @log_variables: valid age_confidence/loss mean: 0.061500 2021-02-05 00:36:43.904: INFO @log_variables: valid age_confidence/accuracy mean: 0.646513 2021-02-05 00:36:43.904: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:36:43.905: INFO @metrics_hook: train age_mae: 8.143 +-0.141 (13807) 2021-02-05 00:36:43.905: INFO @metrics_hook: train gender_accuracy: 0.891 +-0.005 (13807) 2021-02-05 00:36:45.325: INFO @metrics_hook: valid age_mae: 8.438 +-0.267 (3986) 2021-02-05 00:36:45.325: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:36:46.561: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:36:46.561: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:36:46.561: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:36:46.561: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:36:46.641: INFO @evaluate_confidence: Previous accuracy would be: 89.08 2021-02-05 00:36:46.641: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:36:46.647: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.19, 94.34, 94.49, 94.69, 94.84, 95.07, 95.22, 95.35, 95.49, 95.61, 95.78, 95.92, 96.08, 96.21, 96.35, 96.38, 96.52, 96.56, 96.74, 96.94, 97.0, 97.14, 97.25, 97.34, 97.51, 97.54, 97.64, 97.79] 2021-02-05 00:36:46.647: INFO @evaluate_confidence: Dropped ratios are: [21.24, 22.17, 23.02, 24.11, 25.21, 26.37, 27.41, 28.3, 29.33, 30.27, 31.24, 32.09, 32.97, 34.0, 34.97, 36.15, 37.16, 38.05, 39.14, 40.14, 41.19, 42.31, 43.34, 44.23, 45.33, 46.51, 47.43, 48.49] 2021-02-05 00:36:46.653: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:36:46.653: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:36:46.653: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:36:46.653: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:36:46.749: INFO @evaluate_confidence: Previous accuracy would be: 46.26 2021-02-05 00:36:46.749: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:36:46.753: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.73, 60.76, 61.76, 62.86, 64.23, 65.26, 66.31, 67.47, 68.86, 69.77, 70.69, 71.57, 72.29, 72.87, 73.77] 2021-02-05 00:36:46.753: INFO @evaluate_confidence: Dropped ratios are: [48.18, 50.78, 53.46, 55.87, 58.31, 60.31, 62.24, 64.2, 66.11, 67.47, 69.13, 70.55, 71.8, 73.04, 74.3] 2021-02-05 00:36:46.754: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:36:46.755: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:36:46.755: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:36:46.755: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:36:46.828: INFO @evaluate_confidence: Previous accuracy would be: 88.86 2021-02-05 00:36:46.828: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:36:46.830: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.55, 93.66, 93.82, 93.99, 94.21, 94.33, 94.46, 94.54, 94.72, 94.93, 95.04, 95.29, 95.62, 95.8, 95.93, 96.28, 96.34, 96.48, 96.73, 96.89, 96.97, 97.2, 97.32, 97.52, 97.65, 97.65] 2021-02-05 00:36:46.830: INFO @evaluate_confidence: Dropped ratios are: [18.69, 19.64, 20.42, 21.5, 22.43, 23.43, 24.41, 25.06, 25.82, 26.79, 27.7, 28.55, 29.5, 30.68, 31.56, 32.59, 33.59, 34.37, 35.47, 36.23, 37.16, 38.21, 39.19, 40.27, 41.37, 42.32] 2021-02-05 00:36:46.832: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:36:46.832: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:36:46.832: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:36:46.832: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:36:46.918: INFO @evaluate_confidence: Previous accuracy would be: 43.43 2021-02-05 00:36:46.918: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:36:46.919: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.77, 56.84, 57.48, 59.11, 60.37, 61.36, 62.66, 63.28, 63.82, 64.21] 2021-02-05 00:36:46.919: INFO @evaluate_confidence: Dropped ratios are: [50.83, 54.32, 57.23, 60.49, 63.1, 65.65, 67.69, 69.59, 71.5, 73.08] 2021-02-05 00:36:46.928: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:36:47.319: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:47.379: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:36:47.657: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:47.719: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:36:48.121: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:48.183: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:36:48.184: INFO @evaluate_gender-age_model: groups 0 4.825497 1 8.256573 2 9.154204 3 8.288804 4 8.407924 5 9.391739 6 9.122326 7 7.259101 Name: errors, dtype: float64 2021-02-05 00:36:48.185: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:36:48.479: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:36:48.540: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:36:48.541: INFO @evaluate_gender-age_model: groups 0 6.199295 1 7.996088 2 8.626243 3 7.890731 4 8.727827 5 9.154835 6 9.388377 7 7.664669 Name: errors, dtype: float64 2021-02-05 00:36:48.645: INFO @decay_lr : LR updated to `6.668758e-05` 2021-02-05 00:36:48.647: INFO @log_profile : T train: 12.712898 2021-02-05 00:36:48.647: INFO @log_profile : T valid: 1.567193 2021-02-05 00:36:48.647: INFO @log_profile : T read data: 0.500282 2021-02-05 00:36:48.647: INFO @log_profile : T hooks: 5.845148 2021-02-05 00:36:48.647: INFO @main_loop : Epoch 300 done 2021-02-05 00:36:48.647: INFO @main_loop : Training epoch 301 2021-02-05 00:37:03.972: INFO @log_variables: train loss nanmean: 1.149035 2021-02-05 00:37:03.972: INFO @log_variables: train age_loss mean: 8.689651 2021-02-05 00:37:03.974: INFO @log_variables: train gender_loss mean: 0.254596 2021-02-05 00:37:03.974: INFO @log_variables: train age_mae mean: 8.133462 2021-02-05 00:37:03.974: INFO @log_variables: train gender_accuracy mean: 0.893880 2021-02-05 00:37:03.974: INFO @log_variables: train gender_confidence/loss nanmean: 0.068767 2021-02-05 00:37:03.974: INFO @log_variables: train gender_confidence/accuracy mean: 0.788050 2021-02-05 00:37:03.974: INFO @log_variables: train age_confidence/loss mean: 0.058849 2021-02-05 00:37:03.974: INFO @log_variables: train age_confidence/accuracy mean: 0.671441 2021-02-05 00:37:03.974: INFO @log_variables: valid loss nanmean: 1.204143 2021-02-05 00:37:03.974: INFO @log_variables: valid age_loss mean: 8.973778 2021-02-05 00:37:03.974: INFO @log_variables: valid gender_loss mean: 0.278751 2021-02-05 00:37:03.974: INFO @log_variables: valid age_mae mean: 8.394175 2021-02-05 00:37:03.974: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:37:03.975: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073442 2021-02-05 00:37:03.975: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839940 2021-02-05 00:37:03.975: INFO @log_variables: valid age_confidence/loss mean: 0.061493 2021-02-05 00:37:03.975: INFO @log_variables: valid age_confidence/accuracy mean: 0.639488 2021-02-05 00:37:03.975: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:37:03.977: INFO @metrics_hook: train age_mae: 8.133 +-0.142 (13824) 2021-02-05 00:37:03.979: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:37:05.387: INFO @metrics_hook: valid age_mae: 8.394 +-0.266 (3986) 2021-02-05 00:37:05.387: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:37:06.740: INFO @decay_lr : LR updated to `6.635414e-05` 2021-02-05 00:37:06.741: INFO @log_profile : T train: 12.786647 2021-02-05 00:37:06.741: INFO @log_profile : T valid: 1.506586 2021-02-05 00:37:06.741: INFO @log_profile : T read data: 0.401826 2021-02-05 00:37:06.741: INFO @log_profile : T hooks: 3.351520 2021-02-05 00:37:06.741: INFO @main_loop : Epoch 301 done 2021-02-05 00:37:06.741: INFO @main_loop : Training epoch 302 2021-02-05 00:37:22.227: INFO @log_variables: train loss nanmean: 1.147159 2021-02-05 00:37:22.228: INFO @log_variables: train age_loss mean: 8.676101 2021-02-05 00:37:22.228: INFO @log_variables: train gender_loss mean: 0.253538 2021-02-05 00:37:22.228: INFO @log_variables: train age_mae mean: 8.118526 2021-02-05 00:37:22.228: INFO @log_variables: train gender_accuracy mean: 0.896774 2021-02-05 00:37:22.228: INFO @log_variables: train gender_confidence/loss nanmean: 0.068797 2021-02-05 00:37:22.228: INFO @log_variables: train gender_confidence/accuracy mean: 0.792969 2021-02-05 00:37:22.228: INFO @log_variables: train age_confidence/loss mean: 0.059137 2021-02-05 00:37:22.228: INFO @log_variables: train age_confidence/accuracy mean: 0.663194 2021-02-05 00:37:22.228: INFO @log_variables: valid loss nanmean: 1.206204 2021-02-05 00:37:22.228: INFO @log_variables: valid age_loss mean: 8.934374 2021-02-05 00:37:22.228: INFO @log_variables: valid gender_loss mean: 0.283486 2021-02-05 00:37:22.228: INFO @log_variables: valid age_mae mean: 8.357168 2021-02-05 00:37:22.228: INFO @log_variables: valid gender_accuracy mean: 0.887105 2021-02-05 00:37:22.228: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075207 2021-02-05 00:37:22.228: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839689 2021-02-05 00:37:22.228: INFO @log_variables: valid age_confidence/loss mean: 0.061067 2021-02-05 00:37:22.229: INFO @log_variables: valid age_confidence/accuracy mean: 0.643251 2021-02-05 00:37:22.229: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:37:22.230: INFO @metrics_hook: train age_mae: 8.119 +-0.141 (13824) 2021-02-05 00:37:22.232: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 00:37:23.640: INFO @metrics_hook: valid age_mae: 8.357 +-0.266 (3986) 2021-02-05 00:37:23.641: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:37:24.889: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:37:24.890: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:37:24.890: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.19 2021-02-05 00:37:24.890: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:37:24.965: INFO @evaluate_confidence: Previous accuracy would be: 89.68 2021-02-05 00:37:24.966: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:37:24.971: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.12, 94.28, 94.39, 94.55, 94.81, 94.97, 95.15, 95.3, 95.51, 95.69, 95.82, 96.03, 96.11, 96.27, 96.36, 96.47, 96.58, 96.69, 96.92, 97.07, 97.15, 97.23, 97.37, 97.46, 97.5, 97.6, 97.69] 2021-02-05 00:37:24.971: INFO @evaluate_confidence: Dropped ratios are: [20.65, 21.5, 22.3, 23.36, 24.36, 25.41, 26.38, 27.44, 28.59, 29.62, 30.73, 31.87, 32.93, 34.03, 35.0, 36.01, 36.98, 37.92, 39.02, 40.05, 40.93, 41.93, 42.98, 44.09, 44.97, 46.16, 47.35] 2021-02-05 00:37:24.977: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:37:24.977: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 00:37:24.977: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:37:24.977: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:37:25.074: INFO @evaluate_confidence: Previous accuracy would be: 46.28 2021-02-05 00:37:25.075: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:37:25.079: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.11, 61.2, 62.28, 63.33, 64.39, 65.25, 66.34, 67.24, 68.46, 69.4, 70.45, 71.28, 72.42, 73.41, 74.38, 75.34] 2021-02-05 00:37:25.079: INFO @evaluate_confidence: Dropped ratios are: [48.01, 50.63, 53.31, 55.67, 57.97, 60.21, 62.3, 64.13, 65.92, 67.52, 68.87, 70.31, 71.73, 72.99, 74.17, 75.27] 2021-02-05 00:37:25.080: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:37:25.080: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:37:25.080: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:37:25.081: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:37:25.154: INFO @evaluate_confidence: Previous accuracy would be: 88.71 2021-02-05 00:37:25.154: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:37:25.156: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.58, 93.76, 93.86, 94.03, 94.19, 94.26, 94.65, 94.76, 94.97, 95.12, 95.33, 95.73, 95.95, 96.07, 96.09, 96.19, 96.27, 96.47, 96.61, 96.78, 96.9, 97.06, 97.38, 97.42, 97.62] 2021-02-05 00:37:25.156: INFO @evaluate_confidence: Dropped ratios are: [19.07, 19.97, 20.72, 21.83, 22.73, 23.46, 24.56, 25.31, 26.19, 27.04, 28.0, 28.9, 30.03, 31.08, 32.01, 32.84, 34.12, 35.4, 36.33, 37.58, 38.59, 39.39, 40.54, 41.62, 42.98] 2021-02-05 00:37:25.157: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:37:25.158: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:37:25.158: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.11 2021-02-05 00:37:25.158: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:37:25.241: INFO @evaluate_confidence: Previous accuracy would be: 43.85 2021-02-05 00:37:25.241: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:37:25.242: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.87, 57.39, 58.21, 59.16, 59.94, 61.18, 62.18, 63.91, 64.86, 65.48] 2021-02-05 00:37:25.242: INFO @evaluate_confidence: Dropped ratios are: [51.73, 55.19, 58.15, 61.11, 63.92, 66.46, 68.49, 70.6, 72.3, 73.83] 2021-02-05 00:37:25.252: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:37:25.630: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:37:25.693: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:37:25.967: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:37:26.125: INFO @decay_lr : LR updated to `6.6022374e-05` 2021-02-05 00:37:26.126: INFO @log_profile : T train: 12.845448 2021-02-05 00:37:26.126: INFO @log_profile : T valid: 1.602292 2021-02-05 00:37:26.126: INFO @log_profile : T read data: 0.393992 2021-02-05 00:37:26.126: INFO @log_profile : T hooks: 4.495321 2021-02-05 00:37:26.126: INFO @main_loop : Epoch 302 done 2021-02-05 00:37:26.126: INFO @main_loop : Training epoch 303 2021-02-05 00:37:41.584: INFO @log_variables: train loss nanmean: 1.150458 2021-02-05 00:37:41.584: INFO @log_variables: train age_loss mean: 8.700562 2021-02-05 00:37:41.585: INFO @log_variables: train gender_loss mean: 0.255203 2021-02-05 00:37:41.585: INFO @log_variables: train age_mae mean: 8.141138 2021-02-05 00:37:41.585: INFO @log_variables: train gender_accuracy mean: 0.894112 2021-02-05 00:37:41.585: INFO @log_variables: train gender_confidence/loss nanmean: 0.067608 2021-02-05 00:37:41.585: INFO @log_variables: train gender_confidence/accuracy mean: 0.793293 2021-02-05 00:37:41.585: INFO @log_variables: train age_confidence/loss mean: 0.059887 2021-02-05 00:37:41.585: INFO @log_variables: train age_confidence/accuracy mean: 0.656551 2021-02-05 00:37:41.585: INFO @log_variables: valid loss nanmean: 1.215693 2021-02-05 00:37:41.585: INFO @log_variables: valid age_loss mean: 9.033500 2021-02-05 00:37:41.585: INFO @log_variables: valid gender_loss mean: 0.283490 2021-02-05 00:37:41.585: INFO @log_variables: valid age_mae mean: 8.451902 2021-02-05 00:37:41.585: INFO @log_variables: valid gender_accuracy mean: 0.887356 2021-02-05 00:37:41.585: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074212 2021-02-05 00:37:41.585: INFO @log_variables: valid gender_confidence/accuracy mean: 0.832915 2021-02-05 00:37:41.585: INFO @log_variables: valid age_confidence/loss mean: 0.062536 2021-02-05 00:37:41.585: INFO @log_variables: valid age_confidence/accuracy mean: 0.628199 2021-02-05 00:37:41.585: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:37:41.587: INFO @metrics_hook: train age_mae: 8.141 +-0.142 (13807) 2021-02-05 00:37:41.589: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13807) 2021-02-05 00:37:43.007: INFO @metrics_hook: valid age_mae: 8.452 +-0.273 (3986) 2021-02-05 00:37:43.008: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:37:44.347: INFO @decay_lr : LR updated to `6.5692264e-05` 2021-02-05 00:37:44.348: INFO @log_profile : T train: 12.817399 2021-02-05 00:37:44.348: INFO @log_profile : T valid: 1.507496 2021-02-05 00:37:44.348: INFO @log_profile : T read data: 0.497674 2021-02-05 00:37:44.348: INFO @log_profile : T hooks: 3.351372 2021-02-05 00:37:44.348: INFO @main_loop : Epoch 303 done 2021-02-05 00:37:44.348: INFO @main_loop : Training epoch 304 2021-02-05 00:37:59.272: INFO @log_variables: train loss nanmean: 1.168654 2021-02-05 00:37:59.272: INFO @log_variables: train age_loss mean: 8.799748 2021-02-05 00:37:59.272: INFO @log_variables: train gender_loss mean: 0.266046 2021-02-05 00:37:59.272: INFO @log_variables: train age_mae mean: 8.235652 2021-02-05 00:37:59.272: INFO @log_variables: train gender_accuracy mean: 0.888600 2021-02-05 00:37:59.272: INFO @log_variables: train gender_confidence/loss nanmean: 0.068094 2021-02-05 00:37:59.272: INFO @log_variables: train gender_confidence/accuracy mean: 0.786892 2021-02-05 00:37:59.272: INFO @log_variables: train age_confidence/loss mean: 0.058723 2021-02-05 00:37:59.272: INFO @log_variables: train age_confidence/accuracy mean: 0.671224 2021-02-05 00:37:59.272: INFO @log_variables: valid loss nanmean: 1.215307 2021-02-05 00:37:59.272: INFO @log_variables: valid age_loss mean: 9.036863 2021-02-05 00:37:59.272: INFO @log_variables: valid gender_loss mean: 0.283072 2021-02-05 00:37:59.272: INFO @log_variables: valid age_mae mean: 8.457915 2021-02-05 00:37:59.272: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:37:59.272: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074821 2021-02-05 00:37:59.272: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843201 2021-02-05 00:37:59.273: INFO @log_variables: valid age_confidence/loss mean: 0.061615 2021-02-05 00:37:59.273: INFO @log_variables: valid age_confidence/accuracy mean: 0.644506 2021-02-05 00:37:59.273: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:37:59.274: INFO @metrics_hook: train age_mae: 8.236 +-0.144 (13824) 2021-02-05 00:37:59.276: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:38:00.660: INFO @metrics_hook: valid age_mae: 8.458 +-0.270 (3986) 2021-02-05 00:38:00.661: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:38:01.866: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:38:01.866: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:38:01.866: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:38:01.866: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:38:01.943: INFO @evaluate_confidence: Previous accuracy would be: 88.86 2021-02-05 00:38:01.943: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:38:01.949: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.15, 94.31, 94.56, 94.7, 94.91, 95.0, 95.21, 95.41, 95.54, 95.73, 95.88, 96.07, 96.18, 96.32, 96.48, 96.64, 96.83, 96.91, 97.04, 97.12, 97.21, 97.32, 97.44, 97.54, 97.59, 97.73, 97.8, 97.88] 2021-02-05 00:38:01.949: INFO @evaluate_confidence: Dropped ratios are: [21.62, 22.61, 23.59, 24.44, 25.39, 26.29, 27.29, 28.33, 29.38, 30.24, 31.1, 32.1, 33.09, 33.96, 34.92, 35.92, 36.99, 37.99, 38.95, 39.97, 40.97, 41.98, 43.14, 44.18, 44.98, 45.91, 46.97, 48.11] 2021-02-05 00:38:01.955: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:38:01.955: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:38:01.955: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.12 2021-02-05 00:38:01.955: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:38:02.051: INFO @evaluate_confidence: Previous accuracy would be: 46.40 2021-02-05 00:38:02.051: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:38:02.055: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.37, 60.77, 62.19, 63.43, 65.0, 66.07, 67.13, 67.95, 69.17, 70.39, 71.17, 72.05, 72.9, 74.06, 74.83, 75.78] 2021-02-05 00:38:02.055: INFO @evaluate_confidence: Dropped ratios are: [46.32, 49.28, 52.17, 54.72, 57.34, 59.27, 61.18, 63.24, 65.2, 66.85, 68.49, 70.0, 71.35, 72.67, 73.99, 75.18] 2021-02-05 00:38:02.056: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:38:02.057: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:38:02.057: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:38:02.057: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:38:02.129: INFO @evaluate_confidence: Previous accuracy would be: 88.96 2021-02-05 00:38:02.129: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:38:02.131: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.77, 93.95, 94.1, 94.31, 94.53, 94.61, 94.75, 94.85, 95.0, 95.21, 95.28, 95.52, 95.56, 95.89, 96.01, 96.19, 96.51, 96.62, 96.79, 97.02, 97.17, 97.38, 97.47, 97.55, 97.7] 2021-02-05 00:38:02.131: INFO @evaluate_confidence: Dropped ratios are: [19.02, 19.97, 20.87, 21.53, 22.43, 23.21, 23.98, 24.99, 25.77, 26.67, 27.75, 28.85, 29.88, 31.01, 32.09, 33.47, 34.55, 35.42, 36.63, 37.78, 38.84, 39.66, 40.54, 41.75, 43.3] 2021-02-05 00:38:02.132: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:38:02.133: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:38:02.133: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.11 2021-02-05 00:38:02.133: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:38:02.218: INFO @evaluate_confidence: Previous accuracy would be: 44.08 2021-02-05 00:38:02.218: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:38:02.219: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.08, 56.5, 57.66, 59.22, 60.39, 60.75, 62.48, 64.08, 64.78, 64.94] 2021-02-05 00:38:02.219: INFO @evaluate_confidence: Dropped ratios are: [48.67, 52.71, 56.62, 59.71, 62.44, 64.78, 67.24, 69.62, 71.58, 73.38] 2021-02-05 00:38:02.229: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:38:02.624: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:38:02.683: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:38:02.967: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:38:03.135: INFO @decay_lr : LR updated to `6.5363805e-05` 2021-02-05 00:38:03.136: INFO @log_profile : T train: 12.413120 2021-02-05 00:38:03.136: INFO @log_profile : T valid: 1.473349 2021-02-05 00:38:03.136: INFO @log_profile : T read data: 0.405644 2021-02-05 00:38:03.136: INFO @log_profile : T hooks: 4.450392 2021-02-05 00:38:03.136: INFO @main_loop : Epoch 304 done 2021-02-05 00:38:03.136: INFO @main_loop : Training epoch 305 2021-02-05 00:38:18.724: INFO @log_variables: train loss nanmean: 1.149902 2021-02-05 00:38:18.724: INFO @log_variables: train age_loss mean: 8.700533 2021-02-05 00:38:18.724: INFO @log_variables: train gender_loss mean: 0.254935 2021-02-05 00:38:18.724: INFO @log_variables: train age_mae mean: 8.146635 2021-02-05 00:38:18.724: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:38:18.724: INFO @log_variables: train gender_confidence/loss nanmean: 0.068896 2021-02-05 00:38:18.724: INFO @log_variables: train gender_confidence/accuracy mean: 0.787399 2021-02-05 00:38:18.724: INFO @log_variables: train age_confidence/loss mean: 0.058289 2021-02-05 00:38:18.724: INFO @log_variables: train age_confidence/accuracy mean: 0.673249 2021-02-05 00:38:18.724: INFO @log_variables: valid loss nanmean: 1.205073 2021-02-05 00:38:18.724: INFO @log_variables: valid age_loss mean: 8.938505 2021-02-05 00:38:18.724: INFO @log_variables: valid gender_loss mean: 0.281364 2021-02-05 00:38:18.724: INFO @log_variables: valid age_mae mean: 8.358604 2021-02-05 00:38:18.724: INFO @log_variables: valid gender_accuracy mean: 0.888359 2021-02-05 00:38:18.724: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074014 2021-02-05 00:38:18.724: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844456 2021-02-05 00:38:18.725: INFO @log_variables: valid age_confidence/loss mean: 0.062683 2021-02-05 00:38:18.725: INFO @log_variables: valid age_confidence/accuracy mean: 0.642248 2021-02-05 00:38:18.725: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:38:18.726: INFO @metrics_hook: train age_mae: 8.147 +-0.142 (13824) 2021-02-05 00:38:18.728: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:38:20.112: INFO @metrics_hook: valid age_mae: 8.359 +-0.268 (3986) 2021-02-05 00:38:20.112: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:38:21.429: INFO @decay_lr : LR updated to `6.5036984e-05` 2021-02-05 00:38:21.430: INFO @log_profile : T train: 12.879602 2021-02-05 00:38:21.430: INFO @log_profile : T valid: 1.640800 2021-02-05 00:38:21.430: INFO @log_profile : T read data: 0.409230 2021-02-05 00:38:21.430: INFO @log_profile : T hooks: 3.313997 2021-02-05 00:38:21.430: INFO @main_loop : Epoch 305 done 2021-02-05 00:38:21.430: INFO @main_loop : Training epoch 306 2021-02-05 00:38:36.981: INFO @log_variables: train loss nanmean: 1.141596 2021-02-05 00:38:36.981: INFO @log_variables: train age_loss mean: 8.728299 2021-02-05 00:38:36.981: INFO @log_variables: train gender_loss mean: 0.246282 2021-02-05 00:38:36.981: INFO @log_variables: train age_mae mean: 8.172016 2021-02-05 00:38:36.981: INFO @log_variables: train gender_accuracy mean: 0.898095 2021-02-05 00:38:36.981: INFO @log_variables: train gender_confidence/loss nanmean: 0.065635 2021-02-05 00:38:36.981: INFO @log_variables: train gender_confidence/accuracy mean: 0.801333 2021-02-05 00:38:36.982: INFO @log_variables: train age_confidence/loss mean: 0.058586 2021-02-05 00:38:36.982: INFO @log_variables: train age_confidence/accuracy mean: 0.672920 2021-02-05 00:38:36.982: INFO @log_variables: valid loss nanmean: 1.204308 2021-02-05 00:38:36.982: INFO @log_variables: valid age_loss mean: 9.024117 2021-02-05 00:38:36.982: INFO @log_variables: valid gender_loss mean: 0.274476 2021-02-05 00:38:36.982: INFO @log_variables: valid age_mae mean: 8.443162 2021-02-05 00:38:36.982: INFO @log_variables: valid gender_accuracy mean: 0.890115 2021-02-05 00:38:36.982: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072046 2021-02-05 00:38:36.982: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850978 2021-02-05 00:38:36.982: INFO @log_variables: valid age_confidence/loss mean: 0.062364 2021-02-05 00:38:36.982: INFO @log_variables: valid age_confidence/accuracy mean: 0.638485 2021-02-05 00:38:36.982: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:38:36.984: INFO @metrics_hook: train age_mae: 8.172 +-0.143 (13807) 2021-02-05 00:38:36.986: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13807) 2021-02-05 00:38:38.389: INFO @metrics_hook: valid age_mae: 8.443 +-0.268 (3986) 2021-02-05 00:38:38.390: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:38:39.601: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:38:39.601: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:38:39.601: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:38:39.601: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:38:39.676: INFO @evaluate_confidence: Previous accuracy would be: 89.81 2021-02-05 00:38:39.676: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:38:39.681: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.55, 94.7, 94.94, 95.13, 95.23, 95.45, 95.54, 95.62, 95.74, 95.95, 96.2, 96.29, 96.35, 96.48, 96.61, 96.76, 96.85, 96.96, 97.1, 97.15, 97.27, 97.43, 97.61, 97.78, 97.92, 98.06, 98.08, 98.17, 98.19] 2021-02-05 00:38:39.682: INFO @evaluate_confidence: Dropped ratios are: [19.8, 20.69, 21.61, 22.51, 23.53, 24.49, 25.56, 26.48, 27.32, 28.32, 29.5, 30.37, 31.3, 32.24, 33.18, 34.26, 35.15, 36.01, 37.1, 37.92, 38.97, 40.04, 41.02, 42.01, 42.95, 43.92, 45.05, 46.19, 47.27] 2021-02-05 00:38:39.687: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:38:39.688: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 00:38:39.688: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:38:39.688: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:38:39.780: INFO @evaluate_confidence: Previous accuracy would be: 46.50 2021-02-05 00:38:39.780: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:38:39.784: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.21, 62.38, 63.51, 64.7, 65.74, 66.86, 67.89, 68.93, 70.01, 70.75, 71.51, 72.6, 73.73, 74.99, 75.83, 76.78] 2021-02-05 00:38:39.784: INFO @evaluate_confidence: Dropped ratios are: [48.19, 50.9, 53.43, 55.74, 57.97, 59.82, 61.72, 63.38, 65.02, 66.75, 68.27, 69.73, 70.99, 72.26, 73.45, 74.64] 2021-02-05 00:38:39.786: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:38:39.786: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:38:39.786: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:38:39.786: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:38:39.860: INFO @evaluate_confidence: Previous accuracy would be: 89.01 2021-02-05 00:38:39.861: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:38:39.862: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.85, 94.07, 94.37, 94.55, 94.77, 94.85, 95.01, 95.34, 95.5, 95.64, 95.89, 96.02, 96.04, 96.14, 96.26, 96.38, 96.36, 96.49, 96.59, 96.77, 96.91, 96.99, 97.23, 97.27, 97.4, 97.39, 97.51] 2021-02-05 00:38:39.862: INFO @evaluate_confidence: Dropped ratios are: [18.46, 19.17, 19.79, 20.82, 21.75, 22.55, 23.01, 24.11, 24.81, 25.79, 26.77, 27.6, 28.35, 29.18, 30.31, 31.33, 32.51, 33.47, 34.55, 35.62, 36.58, 37.43, 38.48, 39.34, 40.24, 41.39, 42.67] 2021-02-05 00:38:39.864: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:38:39.864: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:38:39.864: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:38:39.864: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:38:39.945: INFO @evaluate_confidence: Previous accuracy would be: 43.18 2021-02-05 00:38:39.945: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:38:39.946: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [54.78, 55.62, 56.38, 57.23, 58.48, 59.65, 60.89, 61.65, 62.46] 2021-02-05 00:38:39.946: INFO @evaluate_confidence: Dropped ratios are: [52.23, 55.57, 57.9, 60.11, 63.02, 65.55, 67.99, 69.84, 71.6] 2021-02-05 00:38:39.956: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:38:40.314: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:38:40.377: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:38:40.646: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:38:40.795: INFO @decay_lr : LR updated to `6.47118e-05` 2021-02-05 00:38:40.796: INFO @log_profile : T train: 12.803220 2021-02-05 00:38:40.796: INFO @log_profile : T valid: 1.604845 2021-02-05 00:38:40.796: INFO @log_profile : T read data: 0.502153 2021-02-05 00:38:40.796: INFO @log_profile : T hooks: 4.408134 2021-02-05 00:38:40.797: INFO @main_loop : Epoch 306 done 2021-02-05 00:38:40.797: INFO @main_loop : Training epoch 307 2021-02-05 00:38:56.268: INFO @log_variables: train loss nanmean: 1.154570 2021-02-05 00:38:56.268: INFO @log_variables: train age_loss mean: 8.632769 2021-02-05 00:38:56.268: INFO @log_variables: train gender_loss mean: 0.265517 2021-02-05 00:38:56.268: INFO @log_variables: train age_mae mean: 8.074928 2021-02-05 00:38:56.269: INFO @log_variables: train gender_accuracy mean: 0.888744 2021-02-05 00:38:56.269: INFO @log_variables: train gender_confidence/loss nanmean: 0.069074 2021-02-05 00:38:56.269: INFO @log_variables: train gender_confidence/accuracy mean: 0.788050 2021-02-05 00:38:56.269: INFO @log_variables: train age_confidence/loss mean: 0.059320 2021-02-05 00:38:56.269: INFO @log_variables: train age_confidence/accuracy mean: 0.667390 2021-02-05 00:38:56.269: INFO @log_variables: valid loss nanmean: 1.205247 2021-02-05 00:38:56.269: INFO @log_variables: valid age_loss mean: 9.033214 2021-02-05 00:38:56.269: INFO @log_variables: valid gender_loss mean: 0.277598 2021-02-05 00:38:56.269: INFO @log_variables: valid age_mae mean: 8.451591 2021-02-05 00:38:56.269: INFO @log_variables: valid gender_accuracy mean: 0.886854 2021-02-05 00:38:56.269: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070131 2021-02-05 00:38:56.269: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845710 2021-02-05 00:38:56.269: INFO @log_variables: valid age_confidence/loss mean: 0.061554 2021-02-05 00:38:56.269: INFO @log_variables: valid age_confidence/accuracy mean: 0.639488 2021-02-05 00:38:56.269: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:38:56.271: INFO @metrics_hook: train age_mae: 8.075 +-0.141 (13824) 2021-02-05 00:38:56.273: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13824) 2021-02-05 00:38:57.692: INFO @metrics_hook: valid age_mae: 8.452 +-0.270 (3986) 2021-02-05 00:38:57.692: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:38:59.038: INFO @decay_lr : LR updated to `6.438824e-05` 2021-02-05 00:38:59.039: INFO @log_profile : T train: 12.822709 2021-02-05 00:38:59.039: INFO @log_profile : T valid: 1.603866 2021-02-05 00:38:59.039: INFO @log_profile : T read data: 0.402876 2021-02-05 00:38:59.039: INFO @log_profile : T hooks: 3.364576 2021-02-05 00:38:59.039: INFO @main_loop : Epoch 307 done 2021-02-05 00:38:59.039: INFO @main_loop : Training epoch 308 2021-02-05 00:39:14.120: INFO @log_variables: train loss nanmean: 1.149839 2021-02-05 00:39:14.120: INFO @log_variables: train age_loss mean: 8.687789 2021-02-05 00:39:14.120: INFO @log_variables: train gender_loss mean: 0.257814 2021-02-05 00:39:14.120: INFO @log_variables: train age_mae mean: 8.129112 2021-02-05 00:39:14.120: INFO @log_variables: train gender_accuracy mean: 0.892136 2021-02-05 00:39:14.120: INFO @log_variables: train gender_confidence/loss nanmean: 0.066457 2021-02-05 00:39:14.120: INFO @log_variables: train gender_confidence/accuracy mean: 0.794401 2021-02-05 00:39:14.120: INFO @log_variables: train age_confidence/loss mean: 0.059206 2021-02-05 00:39:14.120: INFO @log_variables: train age_confidence/accuracy mean: 0.668162 2021-02-05 00:39:14.120: INFO @log_variables: valid loss nanmean: 1.225199 2021-02-05 00:39:14.120: INFO @log_variables: valid age_loss mean: 9.202147 2021-02-05 00:39:14.120: INFO @log_variables: valid gender_loss mean: 0.279023 2021-02-05 00:39:14.121: INFO @log_variables: valid age_mae mean: 8.614886 2021-02-05 00:39:14.121: INFO @log_variables: valid gender_accuracy mean: 0.889865 2021-02-05 00:39:14.121: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072130 2021-02-05 00:39:14.121: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835675 2021-02-05 00:39:14.121: INFO @log_variables: valid age_confidence/loss mean: 0.062853 2021-02-05 00:39:14.121: INFO @log_variables: valid age_confidence/accuracy mean: 0.636979 2021-02-05 00:39:14.121: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:39:14.123: INFO @metrics_hook: train age_mae: 8.129 +-0.141 (13823) 2021-02-05 00:39:14.124: INFO @metrics_hook: train gender_accuracy: 0.892 +-0.005 (13823) 2021-02-05 00:39:15.532: INFO @metrics_hook: valid age_mae: 8.615 +-0.276 (3986) 2021-02-05 00:39:15.532: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:39:16.777: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:39:16.777: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:39:16.777: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:39:16.777: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:39:16.862: INFO @evaluate_confidence: Previous accuracy would be: 89.21 2021-02-05 00:39:16.863: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:39:16.868: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.25, 94.41, 94.56, 94.7, 94.81, 94.88, 95.05, 95.22, 95.43, 95.62, 95.81, 95.99, 96.16, 96.26, 96.49, 96.65, 96.84, 97.01, 97.12, 97.17, 97.27, 97.39, 97.49, 97.61, 97.71, 97.8, 98.0, 98.04, 98.15] 2021-02-05 00:39:16.868: INFO @evaluate_confidence: Dropped ratios are: [20.29, 21.33, 22.27, 23.2, 23.89, 24.76, 25.86, 26.87, 27.92, 28.8, 29.7, 30.75, 31.82, 32.83, 33.91, 34.99, 35.96, 36.92, 38.05, 39.16, 40.09, 41.15, 42.24, 43.34, 44.51, 45.32, 46.47, 47.54, 48.64] 2021-02-05 00:39:16.875: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:39:16.875: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 00:39:16.875: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:39:16.875: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:39:16.964: INFO @evaluate_confidence: Previous accuracy would be: 46.47 2021-02-05 00:39:16.964: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:39:16.968: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.83, 61.04, 62.04, 63.25, 64.27, 65.35, 66.62, 67.92, 68.95, 69.93, 70.66, 71.48, 72.21, 73.29, 73.71, 74.5] 2021-02-05 00:39:16.968: INFO @evaluate_confidence: Dropped ratios are: [47.46, 50.26, 52.72, 55.2, 57.52, 59.46, 61.61, 63.31, 65.07, 66.68, 68.07, 69.33, 70.69, 72.05, 73.12, 74.27] 2021-02-05 00:39:16.970: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:39:16.970: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:39:16.970: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:39:16.970: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.22 2021-02-05 00:39:17.059: INFO @evaluate_confidence: Previous accuracy would be: 88.99 2021-02-05 00:39:17.059: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:39:17.061: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.78, 93.98, 94.15, 94.51, 94.66, 94.75, 94.98, 95.25, 95.41, 95.67, 95.89, 96.18, 96.2, 96.3, 96.36, 96.41, 96.5, 96.65, 96.68, 96.75, 96.85, 97.01, 97.04, 96.99, 97.12, 97.36] 2021-02-05 00:39:17.061: INFO @evaluate_confidence: Dropped ratios are: [19.34, 20.05, 21.05, 21.93, 22.88, 23.58, 24.49, 25.46, 26.22, 27.07, 28.0, 29.15, 30.03, 30.88, 31.79, 32.97, 34.02, 34.77, 35.73, 36.7, 37.86, 38.69, 39.86, 40.82, 41.7, 42.9] 2021-02-05 00:39:17.063: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:39:17.063: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:39:17.063: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:39:17.063: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:39:17.146: INFO @evaluate_confidence: Previous accuracy would be: 43.85 2021-02-05 00:39:17.146: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:39:17.148: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.37, 56.26, 57.08, 58.39, 59.6, 60.4, 61.54, 62.09, 63.34, 64.32] 2021-02-05 00:39:17.148: INFO @evaluate_confidence: Dropped ratios are: [51.2, 54.29, 57.15, 60.09, 62.74, 65.03, 67.19, 68.77, 70.37, 71.88] 2021-02-05 00:39:17.157: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:39:17.521: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:17.578: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:39:17.852: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:18.010: INFO @decay_lr : LR updated to `6.40663e-05` 2021-02-05 00:39:18.011: INFO @log_profile : T train: 12.547848 2021-02-05 00:39:18.011: INFO @log_profile : T valid: 1.526171 2021-02-05 00:39:18.011: INFO @log_profile : T read data: 0.393261 2021-02-05 00:39:18.011: INFO @log_profile : T hooks: 4.460508 2021-02-05 00:39:18.011: INFO @main_loop : Epoch 308 done 2021-02-05 00:39:18.011: INFO @main_loop : Training epoch 309 2021-02-05 00:39:33.615: INFO @log_variables: train loss nanmean: 1.153615 2021-02-05 00:39:33.616: INFO @log_variables: train age_loss mean: 8.747520 2021-02-05 00:39:33.616: INFO @log_variables: train gender_loss mean: 0.254425 2021-02-05 00:39:33.616: INFO @log_variables: train age_mae mean: 8.186705 2021-02-05 00:39:33.616: INFO @log_variables: train gender_accuracy mean: 0.893315 2021-02-05 00:39:33.616: INFO @log_variables: train gender_confidence/loss nanmean: 0.067653 2021-02-05 00:39:33.616: INFO @log_variables: train gender_confidence/accuracy mean: 0.790469 2021-02-05 00:39:33.616: INFO @log_variables: train age_confidence/loss mean: 0.059437 2021-02-05 00:39:33.616: INFO @log_variables: train age_confidence/accuracy mean: 0.664735 2021-02-05 00:39:33.616: INFO @log_variables: valid loss nanmean: 1.216615 2021-02-05 00:39:33.616: INFO @log_variables: valid age_loss mean: 9.143835 2021-02-05 00:39:33.616: INFO @log_variables: valid gender_loss mean: 0.278178 2021-02-05 00:39:33.616: INFO @log_variables: valid age_mae mean: 8.558909 2021-02-05 00:39:33.616: INFO @log_variables: valid gender_accuracy mean: 0.887857 2021-02-05 00:39:33.616: INFO @log_variables: valid gender_confidence/loss nanmean: 0.070765 2021-02-05 00:39:33.616: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845459 2021-02-05 00:39:33.616: INFO @log_variables: valid age_confidence/loss mean: 0.061704 2021-02-05 00:39:33.616: INFO @log_variables: valid age_confidence/accuracy mean: 0.638485 2021-02-05 00:39:33.617: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:39:33.619: INFO @metrics_hook: train age_mae: 8.187 +-0.143 (13807) 2021-02-05 00:39:33.621: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13807) 2021-02-05 00:39:35.107: INFO @metrics_hook: valid age_mae: 8.559 +-0.274 (3986) 2021-02-05 00:39:35.107: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:39:36.613: INFO @decay_lr : LR updated to `6.374597e-05` 2021-02-05 00:39:36.614: INFO @log_profile : T train: 12.817355 2021-02-05 00:39:36.614: INFO @log_profile : T valid: 1.636112 2021-02-05 00:39:36.614: INFO @log_profile : T read data: 0.507645 2021-02-05 00:39:36.614: INFO @log_profile : T hooks: 3.592940 2021-02-05 00:39:36.614: INFO @main_loop : Epoch 309 done 2021-02-05 00:39:36.614: INFO @main_loop : Training epoch 310 2021-02-05 00:39:52.694: INFO @log_variables: train loss nanmean: 1.143054 2021-02-05 00:39:52.694: INFO @log_variables: train age_loss mean: 8.605383 2021-02-05 00:39:52.694: INFO @log_variables: train gender_loss mean: 0.256574 2021-02-05 00:39:52.694: INFO @log_variables: train age_mae mean: 8.048928 2021-02-05 00:39:52.694: INFO @log_variables: train gender_accuracy mean: 0.893880 2021-02-05 00:39:52.694: INFO @log_variables: train gender_confidence/loss nanmean: 0.067440 2021-02-05 00:39:52.695: INFO @log_variables: train gender_confidence/accuracy mean: 0.793258 2021-02-05 00:39:52.695: INFO @log_variables: train age_confidence/loss mean: 0.060057 2021-02-05 00:39:52.695: INFO @log_variables: train age_confidence/accuracy mean: 0.660880 2021-02-05 00:39:52.695: INFO @log_variables: valid loss nanmean: 1.215071 2021-02-05 00:39:52.695: INFO @log_variables: valid age_loss mean: 9.146462 2021-02-05 00:39:52.695: INFO @log_variables: valid gender_loss mean: 0.273031 2021-02-05 00:39:52.695: INFO @log_variables: valid age_mae mean: 8.557970 2021-02-05 00:39:52.695: INFO @log_variables: valid gender_accuracy mean: 0.888861 2021-02-05 00:39:52.695: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071941 2021-02-05 00:39:52.695: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847215 2021-02-05 00:39:52.695: INFO @log_variables: valid age_confidence/loss mean: 0.063425 2021-02-05 00:39:52.695: INFO @log_variables: valid age_confidence/accuracy mean: 0.627948 2021-02-05 00:39:52.695: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:39:52.697: INFO @metrics_hook: train age_mae: 8.049 +-0.142 (13824) 2021-02-05 00:39:52.698: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:39:54.051: INFO @metrics_hook: valid age_mae: 8.558 +-0.281 (3986) 2021-02-05 00:39:54.052: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:39:55.269: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:39:55.269: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:39:55.269: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:39:55.269: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:39:55.344: INFO @evaluate_confidence: Previous accuracy would be: 89.39 2021-02-05 00:39:55.344: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:39:55.349: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.1, 94.33, 94.5, 94.67, 94.82, 95.0, 95.19, 95.37, 95.55, 95.72, 95.81, 95.98, 96.17, 96.32, 96.58, 96.71, 96.87, 97.0, 97.03, 97.11, 97.27, 97.43, 97.63, 97.74, 97.83, 97.89, 97.98, 98.05] 2021-02-05 00:39:55.350: INFO @evaluate_confidence: Dropped ratios are: [20.76, 21.73, 22.79, 23.73, 24.66, 25.8, 26.8, 27.77, 28.93, 29.96, 30.98, 31.98, 32.95, 33.95, 35.09, 36.18, 37.17, 38.03, 38.93, 39.95, 40.98, 41.91, 42.82, 43.91, 44.97, 45.93, 47.08, 48.17] 2021-02-05 00:39:55.355: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:39:55.355: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 00:39:55.355: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:39:55.355: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:39:55.442: INFO @evaluate_confidence: Previous accuracy would be: 47.76 2021-02-05 00:39:55.443: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:39:55.446: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.62, 62.44, 63.58, 64.41, 65.38, 66.56, 67.63, 68.93, 70.26, 71.44, 72.47, 73.32, 73.9, 74.93, 75.52] 2021-02-05 00:39:55.446: INFO @evaluate_confidence: Dropped ratios are: [49.36, 51.69, 54.2, 56.22, 58.46, 60.57, 62.36, 64.13, 65.83, 67.46, 68.99, 70.34, 71.56, 72.73, 73.79] 2021-02-05 00:39:55.448: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:39:55.448: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:39:55.448: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:39:55.448: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:39:55.521: INFO @evaluate_confidence: Previous accuracy would be: 88.89 2021-02-05 00:39:55.521: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:39:55.522: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.93, 94.16, 94.28, 94.43, 94.63, 94.89, 94.99, 95.2, 95.31, 95.44, 95.61, 95.8, 95.9, 96.12, 96.35, 96.56, 96.64, 96.81, 96.96, 96.99, 96.99, 97.26, 97.39, 97.39, 97.46] 2021-02-05 00:39:55.522: INFO @evaluate_confidence: Dropped ratios are: [18.54, 19.19, 19.77, 20.75, 21.5, 22.5, 23.33, 24.23, 25.04, 26.22, 27.45, 28.35, 29.55, 30.81, 31.89, 32.89, 33.59, 34.72, 35.52, 36.6, 37.46, 38.56, 39.46, 40.39, 41.62] 2021-02-05 00:39:55.524: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:39:55.524: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:39:55.524: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:39:55.524: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:39:55.603: INFO @evaluate_confidence: Previous accuracy would be: 44.88 2021-02-05 00:39:55.603: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:39:55.604: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.15, 57.17, 57.94, 58.7, 59.62, 60.92, 61.75, 62.76, 63.09] 2021-02-05 00:39:55.604: INFO @evaluate_confidence: Dropped ratios are: [51.88, 55.24, 58.3, 60.76, 63.1, 65.53, 67.34, 69.42, 70.97] 2021-02-05 00:39:55.613: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:39:55.976: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:56.035: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:39:56.297: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:56.358: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:39:56.714: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:56.773: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:39:56.774: INFO @evaluate_gender-age_model: groups 0 4.705502 1 8.625854 2 8.857392 3 8.009485 4 8.717408 5 9.068466 6 8.701277 7 7.426347 Name: errors, dtype: float64 2021-02-05 00:39:56.774: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:39:57.046: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:39:57.106: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:39:57.107: INFO @evaluate_gender-age_model: groups 0 5.969135 1 7.904370 2 8.352293 3 8.046490 4 9.467538 5 9.980091 6 9.389181 7 6.755702 Name: errors, dtype: float64 2021-02-05 00:39:57.208: INFO @decay_lr : LR updated to `6.342724e-05` 2021-02-05 00:39:57.209: INFO @log_profile : T train: 13.015366 2021-02-05 00:39:57.209: INFO @log_profile : T valid: 1.528318 2021-02-05 00:39:57.209: INFO @log_profile : T read data: 0.402146 2021-02-05 00:39:57.209: INFO @log_profile : T hooks: 5.602858 2021-02-05 00:39:57.209: INFO @main_loop : Epoch 310 done 2021-02-05 00:39:57.210: INFO @main_loop : Training epoch 311 2021-02-05 00:40:12.086: INFO @log_variables: train loss nanmean: 1.144285 2021-02-05 00:40:12.086: INFO @log_variables: train age_loss mean: 8.703078 2021-02-05 00:40:12.086: INFO @log_variables: train gender_loss mean: 0.249501 2021-02-05 00:40:12.086: INFO @log_variables: train age_mae mean: 8.146070 2021-02-05 00:40:12.086: INFO @log_variables: train gender_accuracy mean: 0.895833 2021-02-05 00:40:12.086: INFO @log_variables: train gender_confidence/loss nanmean: 0.066994 2021-02-05 00:40:12.086: INFO @log_variables: train gender_confidence/accuracy mean: 0.800998 2021-02-05 00:40:12.086: INFO @log_variables: train age_confidence/loss mean: 0.059283 2021-02-05 00:40:12.086: INFO @log_variables: train age_confidence/accuracy mean: 0.665509 2021-02-05 00:40:12.086: INFO @log_variables: valid loss nanmean: 1.190898 2021-02-05 00:40:12.086: INFO @log_variables: valid age_loss mean: 8.930971 2021-02-05 00:40:12.086: INFO @log_variables: valid gender_loss mean: 0.268933 2021-02-05 00:40:12.086: INFO @log_variables: valid age_mae mean: 8.354836 2021-02-05 00:40:12.086: INFO @log_variables: valid gender_accuracy mean: 0.894129 2021-02-05 00:40:12.086: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072629 2021-02-05 00:40:12.086: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850226 2021-02-05 00:40:12.087: INFO @log_variables: valid age_confidence/loss mean: 0.061879 2021-02-05 00:40:12.087: INFO @log_variables: valid age_confidence/accuracy mean: 0.649272 2021-02-05 00:40:12.087: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:40:12.088: INFO @metrics_hook: train age_mae: 8.146 +-0.142 (13824) 2021-02-05 00:40:12.089: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:40:13.495: INFO @metrics_hook: valid age_mae: 8.355 +-0.265 (3986) 2021-02-05 00:40:13.495: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:40:14.804: INFO @decay_lr : LR updated to `6.31101e-05` 2021-02-05 00:40:14.805: INFO @log_profile : T train: 12.303121 2021-02-05 00:40:14.805: INFO @log_profile : T valid: 1.527124 2021-02-05 00:40:14.805: INFO @log_profile : T read data: 0.405653 2021-02-05 00:40:14.805: INFO @log_profile : T hooks: 3.311387 2021-02-05 00:40:14.805: INFO @main_loop : Epoch 311 done 2021-02-05 00:40:14.805: INFO @main_loop : Training epoch 312 2021-02-05 00:40:30.379: INFO @log_variables: train loss nanmean: 1.152292 2021-02-05 00:40:30.379: INFO @log_variables: train age_loss mean: 8.615705 2021-02-05 00:40:30.379: INFO @log_variables: train gender_loss mean: 0.264225 2021-02-05 00:40:30.379: INFO @log_variables: train age_mae mean: 8.060131 2021-02-05 00:40:30.379: INFO @log_variables: train gender_accuracy mean: 0.888607 2021-02-05 00:40:30.379: INFO @log_variables: train gender_confidence/loss nanmean: 0.068834 2021-02-05 00:40:30.379: INFO @log_variables: train gender_confidence/accuracy mean: 0.785978 2021-02-05 00:40:30.379: INFO @log_variables: train age_confidence/loss mean: 0.060007 2021-02-05 00:40:30.379: INFO @log_variables: train age_confidence/accuracy mean: 0.660172 2021-02-05 00:40:30.379: INFO @log_variables: valid loss nanmean: 1.200006 2021-02-05 00:40:30.379: INFO @log_variables: valid age_loss mean: 8.967439 2021-02-05 00:40:30.379: INFO @log_variables: valid gender_loss mean: 0.273382 2021-02-05 00:40:30.379: INFO @log_variables: valid age_mae mean: 8.387161 2021-02-05 00:40:30.379: INFO @log_variables: valid gender_accuracy mean: 0.889363 2021-02-05 00:40:30.379: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074043 2021-02-05 00:40:30.379: INFO @log_variables: valid gender_confidence/accuracy mean: 0.837431 2021-02-05 00:40:30.379: INFO @log_variables: valid age_confidence/loss mean: 0.062212 2021-02-05 00:40:30.379: INFO @log_variables: valid age_confidence/accuracy mean: 0.643000 2021-02-05 00:40:30.379: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:40:30.380: INFO @metrics_hook: train age_mae: 8.060 +-0.140 (13807) 2021-02-05 00:40:30.381: INFO @metrics_hook: train gender_accuracy: 0.889 +-0.005 (13807) 2021-02-05 00:40:31.764: INFO @metrics_hook: valid age_mae: 8.387 +-0.274 (3986) 2021-02-05 00:40:31.764: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:40:33.002: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:40:33.002: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:40:33.002: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:40:33.002: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:40:33.077: INFO @evaluate_confidence: Previous accuracy would be: 88.86 2021-02-05 00:40:33.077: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:40:33.083: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.61, 93.89, 94.13, 94.37, 94.56, 94.73, 94.87, 95.01, 95.21, 95.34, 95.54, 95.63, 95.84, 95.92, 96.06, 96.31, 96.5, 96.6, 96.69, 96.82, 96.87, 97.03, 97.13, 97.36, 97.43, 97.54, 97.73] 2021-02-05 00:40:33.083: INFO @evaluate_confidence: Dropped ratios are: [21.47, 22.57, 23.57, 24.48, 25.34, 26.33, 27.31, 28.25, 29.17, 30.04, 31.08, 32.09, 33.17, 34.08, 35.08, 36.13, 37.13, 38.08, 39.17, 40.1, 41.14, 42.13, 43.25, 44.28, 45.25, 46.18, 47.35] 2021-02-05 00:40:33.088: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:40:33.089: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:40:33.089: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:40:33.089: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:40:33.182: INFO @evaluate_confidence: Previous accuracy would be: 47.09 2021-02-05 00:40:33.182: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:40:33.186: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.39, 61.87, 62.99, 63.91, 65.08, 66.38, 67.73, 68.75, 69.32, 70.29, 71.07, 72.0, 72.87, 73.63] 2021-02-05 00:40:33.186: INFO @evaluate_confidence: Dropped ratios are: [48.9, 51.84, 54.35, 56.35, 58.56, 60.74, 62.67, 64.47, 66.1, 67.65, 69.11, 70.38, 71.81, 72.92] 2021-02-05 00:40:33.187: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:40:33.188: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:40:33.188: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.19 2021-02-05 00:40:33.188: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:40:33.261: INFO @evaluate_confidence: Previous accuracy would be: 88.94 2021-02-05 00:40:33.261: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:40:33.263: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.52, 93.77, 94.15, 94.33, 94.64, 94.87, 95.04, 95.23, 95.45, 95.65, 95.84, 96.06, 96.16, 96.26, 96.38, 96.58, 96.72, 96.82, 96.93, 97.02, 97.11, 97.19, 97.31, 97.52, 97.52, 97.65] 2021-02-05 00:40:33.263: INFO @evaluate_confidence: Dropped ratios are: [18.31, 19.07, 20.25, 21.17, 22.25, 23.18, 24.18, 24.86, 26.09, 26.74, 27.57, 28.68, 29.53, 30.26, 31.31, 32.44, 33.42, 34.5, 35.52, 36.75, 37.56, 38.48, 39.36, 40.42, 41.22, 42.27] 2021-02-05 00:40:33.264: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:40:33.264: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:40:33.264: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:40:33.264: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:40:33.346: INFO @evaluate_confidence: Previous accuracy would be: 45.08 2021-02-05 00:40:33.346: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:40:33.347: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.82, 58.75, 59.05, 59.76, 61.15, 62.35, 63.86, 64.96, 65.84, 66.91] 2021-02-05 00:40:33.347: INFO @evaluate_confidence: Dropped ratios are: [51.58, 54.26, 56.87, 59.91, 62.09, 64.55, 66.61, 68.64, 70.7, 72.78] 2021-02-05 00:40:33.357: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:40:33.717: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:40:33.773: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:40:34.042: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:40:34.197: INFO @decay_lr : LR updated to `6.279455e-05` 2021-02-05 00:40:34.198: INFO @log_profile : T train: 12.847653 2021-02-05 00:40:34.198: INFO @log_profile : T valid: 1.562992 2021-02-05 00:40:34.198: INFO @log_profile : T read data: 0.518459 2021-02-05 00:40:34.198: INFO @log_profile : T hooks: 4.414956 2021-02-05 00:40:34.198: INFO @main_loop : Epoch 312 done 2021-02-05 00:40:34.198: INFO @main_loop : Training epoch 313 2021-02-05 00:40:49.783: INFO @log_variables: train loss nanmean: 1.162652 2021-02-05 00:40:49.783: INFO @log_variables: train age_loss mean: 8.751130 2021-02-05 00:40:49.783: INFO @log_variables: train gender_loss mean: 0.263067 2021-02-05 00:40:49.783: INFO @log_variables: train age_mae mean: 8.192932 2021-02-05 00:40:49.783: INFO @log_variables: train gender_accuracy mean: 0.889974 2021-02-05 00:40:49.783: INFO @log_variables: train gender_confidence/loss nanmean: 0.068443 2021-02-05 00:40:49.783: INFO @log_variables: train gender_confidence/accuracy mean: 0.784578 2021-02-05 00:40:49.783: INFO @log_variables: train age_confidence/loss mean: 0.059500 2021-02-05 00:40:49.783: INFO @log_variables: train age_confidence/accuracy mean: 0.665148 2021-02-05 00:40:49.783: INFO @log_variables: valid loss nanmean: 1.197990 2021-02-05 00:40:49.783: INFO @log_variables: valid age_loss mean: 9.004546 2021-02-05 00:40:49.783: INFO @log_variables: valid gender_loss mean: 0.270210 2021-02-05 00:40:49.784: INFO @log_variables: valid age_mae mean: 8.427312 2021-02-05 00:40:49.784: INFO @log_variables: valid gender_accuracy mean: 0.890868 2021-02-05 00:40:49.784: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071896 2021-02-05 00:40:49.784: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838184 2021-02-05 00:40:49.784: INFO @log_variables: valid age_confidence/loss mean: 0.061853 2021-02-05 00:40:49.784: INFO @log_variables: valid age_confidence/accuracy mean: 0.633216 2021-02-05 00:40:49.784: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:40:49.785: INFO @metrics_hook: train age_mae: 8.193 +-0.142 (13824) 2021-02-05 00:40:49.787: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13824) 2021-02-05 00:40:51.218: INFO @metrics_hook: valid age_mae: 8.427 +-0.271 (3986) 2021-02-05 00:40:51.218: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:40:52.558: INFO @decay_lr : LR updated to `6.2480576e-05` 2021-02-05 00:40:52.559: INFO @log_profile : T train: 12.904242 2021-02-05 00:40:52.559: INFO @log_profile : T valid: 1.613068 2021-02-05 00:40:52.559: INFO @log_profile : T read data: 0.396045 2021-02-05 00:40:52.559: INFO @log_profile : T hooks: 3.399228 2021-02-05 00:40:52.559: INFO @main_loop : Epoch 313 done 2021-02-05 00:40:52.559: INFO @main_loop : Training epoch 314 2021-02-05 00:41:07.954: INFO @log_variables: train loss nanmean: 1.140826 2021-02-05 00:41:07.954: INFO @log_variables: train age_loss mean: 8.612316 2021-02-05 00:41:07.954: INFO @log_variables: train gender_loss mean: 0.255085 2021-02-05 00:41:07.954: INFO @log_variables: train age_mae mean: 8.059324 2021-02-05 00:41:07.954: INFO @log_variables: train gender_accuracy mean: 0.893591 2021-02-05 00:41:07.954: INFO @log_variables: train gender_confidence/loss nanmean: 0.066651 2021-02-05 00:41:07.955: INFO @log_variables: train gender_confidence/accuracy mean: 0.796586 2021-02-05 00:41:07.955: INFO @log_variables: train age_confidence/loss mean: 0.059342 2021-02-05 00:41:07.955: INFO @log_variables: train age_confidence/accuracy mean: 0.666811 2021-02-05 00:41:07.955: INFO @log_variables: valid loss nanmean: 1.198120 2021-02-05 00:41:07.955: INFO @log_variables: valid age_loss mean: 8.956892 2021-02-05 00:41:07.955: INFO @log_variables: valid gender_loss mean: 0.275325 2021-02-05 00:41:07.955: INFO @log_variables: valid age_mae mean: 8.376978 2021-02-05 00:41:07.955: INFO @log_variables: valid gender_accuracy mean: 0.891872 2021-02-05 00:41:07.955: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071833 2021-02-05 00:41:07.955: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848219 2021-02-05 00:41:07.955: INFO @log_variables: valid age_confidence/loss mean: 0.061729 2021-02-05 00:41:07.955: INFO @log_variables: valid age_confidence/accuracy mean: 0.637481 2021-02-05 00:41:07.955: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:41:07.957: INFO @metrics_hook: train age_mae: 8.059 +-0.141 (13824) 2021-02-05 00:41:07.958: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:41:09.381: INFO @metrics_hook: valid age_mae: 8.377 +-0.269 (3986) 2021-02-05 00:41:09.381: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:41:10.631: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:41:10.631: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:41:10.631: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:41:10.631: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:41:10.709: INFO @evaluate_confidence: Previous accuracy would be: 89.36 2021-02-05 00:41:10.710: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:41:10.715: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.34, 94.6, 94.7, 94.86, 94.94, 95.11, 95.3, 95.4, 95.51, 95.66, 95.77, 95.88, 96.13, 96.33, 96.54, 96.67, 96.81, 96.96, 97.09, 97.23, 97.38, 97.46, 97.49, 97.54, 97.61, 97.75, 97.8, 97.87] 2021-02-05 00:41:10.715: INFO @evaluate_confidence: Dropped ratios are: [20.96, 21.85, 22.79, 23.75, 24.57, 25.48, 26.48, 27.54, 28.69, 29.8, 30.66, 31.58, 32.6, 33.7, 34.77, 35.71, 36.75, 37.67, 38.82, 39.87, 40.86, 41.92, 43.03, 44.23, 45.25, 46.34, 47.48, 48.43] 2021-02-05 00:41:10.721: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:41:10.721: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:41:10.722: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:41:10.722: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:41:10.818: INFO @evaluate_confidence: Previous accuracy would be: 47.06 2021-02-05 00:41:10.818: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:41:10.822: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.42, 62.73, 64.01, 65.07, 66.22, 67.0, 68.33, 69.02, 69.77, 70.57, 71.37, 72.18, 73.26, 74.2, 75.06] 2021-02-05 00:41:10.822: INFO @evaluate_confidence: Dropped ratios are: [48.51, 51.03, 53.49, 55.79, 58.11, 59.95, 61.99, 63.57, 65.26, 66.86, 68.11, 69.7, 71.08, 72.55, 73.84] 2021-02-05 00:41:10.824: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:41:10.824: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:41:10.824: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:41:10.824: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:41:10.897: INFO @evaluate_confidence: Previous accuracy would be: 89.19 2021-02-05 00:41:10.897: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:41:10.899: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.86, 93.98, 94.21, 94.25, 94.51, 94.77, 95.01, 95.27, 95.49, 95.68, 95.77, 95.89, 96.02, 96.25, 96.34, 96.55, 96.75, 96.87, 97.01, 97.01, 97.21, 97.32, 97.39, 97.46, 97.62, 97.7] 2021-02-05 00:41:10.899: INFO @evaluate_confidence: Dropped ratios are: [19.09, 19.94, 20.77, 21.48, 22.28, 23.18, 24.06, 25.14, 25.97, 26.89, 27.57, 28.55, 29.33, 30.41, 31.51, 32.34, 33.52, 34.3, 35.3, 36.15, 37.13, 38.16, 39.44, 40.72, 42.05, 43.18] 2021-02-05 00:41:10.900: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:41:10.901: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:41:10.901: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.11 2021-02-05 00:41:10.901: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:41:10.983: INFO @evaluate_confidence: Previous accuracy would be: 44.73 2021-02-05 00:41:10.983: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:41:10.984: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.77, 57.93, 59.17, 59.99, 61.17, 62.2, 62.59, 63.45, 64.47, 65.4] 2021-02-05 00:41:10.985: INFO @evaluate_confidence: Dropped ratios are: [50.73, 54.44, 57.3, 59.93, 62.72, 64.95, 66.73, 68.56, 70.7, 72.38] 2021-02-05 00:41:10.994: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:41:11.370: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:41:11.429: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:41:11.699: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:41:11.863: INFO @decay_lr : LR updated to `6.2168176e-05` 2021-02-05 00:41:11.864: INFO @log_profile : T train: 12.827374 2021-02-05 00:41:11.864: INFO @log_profile : T valid: 1.520874 2021-02-05 00:41:11.864: INFO @log_profile : T read data: 0.399814 2021-02-05 00:41:11.864: INFO @log_profile : T hooks: 4.508024 2021-02-05 00:41:11.864: INFO @main_loop : Epoch 314 done 2021-02-05 00:41:11.864: INFO @main_loop : Training epoch 315 2021-02-05 00:41:27.452: INFO @log_variables: train loss nanmean: 1.138909 2021-02-05 00:41:27.452: INFO @log_variables: train age_loss mean: 8.599342 2021-02-05 00:41:27.452: INFO @log_variables: train gender_loss mean: 0.252025 2021-02-05 00:41:27.452: INFO @log_variables: train age_mae mean: 8.044682 2021-02-05 00:41:27.452: INFO @log_variables: train gender_accuracy mean: 0.897074 2021-02-05 00:41:27.453: INFO @log_variables: train gender_confidence/loss nanmean: 0.068532 2021-02-05 00:41:27.453: INFO @log_variables: train gender_confidence/accuracy mean: 0.793496 2021-02-05 00:41:27.453: INFO @log_variables: train age_confidence/loss mean: 0.059505 2021-02-05 00:41:27.453: INFO @log_variables: train age_confidence/accuracy mean: 0.664783 2021-02-05 00:41:27.453: INFO @log_variables: valid loss nanmean: 1.211801 2021-02-05 00:41:27.453: INFO @log_variables: valid age_loss mean: 9.066768 2021-02-05 00:41:27.453: INFO @log_variables: valid gender_loss mean: 0.276288 2021-02-05 00:41:27.453: INFO @log_variables: valid age_mae mean: 8.486515 2021-02-05 00:41:27.453: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 00:41:27.453: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074895 2021-02-05 00:41:27.453: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849473 2021-02-05 00:41:27.453: INFO @log_variables: valid age_confidence/loss mean: 0.061483 2021-02-05 00:41:27.453: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-05 00:41:27.453: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:41:27.455: INFO @metrics_hook: train age_mae: 8.045 +-0.142 (13806) 2021-02-05 00:41:27.456: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13806) 2021-02-05 00:41:28.885: INFO @metrics_hook: valid age_mae: 8.487 +-0.271 (3986) 2021-02-05 00:41:28.886: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:41:30.309: INFO @decay_lr : LR updated to `6.185733e-05` 2021-02-05 00:41:30.310: INFO @log_profile : T train: 12.856377 2021-02-05 00:41:30.310: INFO @log_profile : T valid: 1.600876 2021-02-05 00:41:30.310: INFO @log_profile : T read data: 0.497830 2021-02-05 00:41:30.310: INFO @log_profile : T hooks: 3.442835 2021-02-05 00:41:30.310: INFO @main_loop : Epoch 315 done 2021-02-05 00:41:30.310: INFO @main_loop : Training epoch 316 2021-02-05 00:41:46.072: INFO @log_variables: train loss nanmean: 1.141089 2021-02-05 00:41:46.072: INFO @log_variables: train age_loss mean: 8.615095 2021-02-05 00:41:46.072: INFO @log_variables: train gender_loss mean: 0.254805 2021-02-05 00:41:46.072: INFO @log_variables: train age_mae mean: 8.056329 2021-02-05 00:41:46.072: INFO @log_variables: train gender_accuracy mean: 0.892289 2021-02-05 00:41:46.072: INFO @log_variables: train gender_confidence/loss nanmean: 0.066576 2021-02-05 00:41:46.072: INFO @log_variables: train gender_confidence/accuracy mean: 0.796007 2021-02-05 00:41:46.072: INFO @log_variables: train age_confidence/loss mean: 0.059683 2021-02-05 00:41:46.072: INFO @log_variables: train age_confidence/accuracy mean: 0.666811 2021-02-05 00:41:46.072: INFO @log_variables: valid loss nanmean: 1.202789 2021-02-05 00:41:46.072: INFO @log_variables: valid age_loss mean: 8.994267 2021-02-05 00:41:46.073: INFO @log_variables: valid gender_loss mean: 0.272667 2021-02-05 00:41:46.073: INFO @log_variables: valid age_mae mean: 8.415439 2021-02-05 00:41:46.073: INFO @log_variables: valid gender_accuracy mean: 0.895133 2021-02-05 00:41:46.073: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075357 2021-02-05 00:41:46.073: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844205 2021-02-05 00:41:46.073: INFO @log_variables: valid age_confidence/loss mean: 0.061892 2021-02-05 00:41:46.073: INFO @log_variables: valid age_confidence/accuracy mean: 0.640492 2021-02-05 00:41:46.073: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:41:46.075: INFO @metrics_hook: train age_mae: 8.056 +-0.139 (13824) 2021-02-05 00:41:46.077: INFO @metrics_hook: train gender_accuracy: 0.892 +-0.005 (13824) 2021-02-05 00:41:47.627: INFO @metrics_hook: valid age_mae: 8.415 +-0.266 (3986) 2021-02-05 00:41:47.627: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 00:41:48.978: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:41:48.978: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:41:48.978: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:41:48.978: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:41:49.070: INFO @evaluate_confidence: Previous accuracy would be: 89.23 2021-02-05 00:41:49.070: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:41:49.076: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.15, 94.39, 94.59, 94.79, 95.06, 95.3, 95.48, 95.7, 95.84, 95.97, 96.07, 96.17, 96.31, 96.48, 96.57, 96.65, 96.77, 96.84, 97.1, 97.2, 97.35, 97.52, 97.57, 97.69, 97.83, 97.95, 98.05, 98.13] 2021-02-05 00:41:49.076: INFO @evaluate_confidence: Dropped ratios are: [20.83, 21.79, 22.82, 23.78, 24.83, 25.86, 26.89, 27.89, 28.81, 29.7, 30.68, 31.63, 32.58, 33.66, 34.61, 35.58, 36.7, 37.74, 38.9, 39.82, 40.82, 42.0, 42.95, 43.87, 44.91, 45.98, 47.23, 48.26] 2021-02-05 00:41:49.081: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:41:49.081: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:41:49.081: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:41:49.082: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.18 2021-02-05 00:41:49.183: INFO @evaluate_confidence: Previous accuracy would be: 46.80 2021-02-05 00:41:49.183: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:41:49.187: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.2, 61.18, 62.47, 63.59, 64.83, 66.13, 67.14, 68.25, 69.15, 70.15, 71.49, 72.42, 73.2, 74.27, 74.95] 2021-02-05 00:41:49.187: INFO @evaluate_confidence: Dropped ratios are: [47.39, 49.95, 52.6, 54.88, 57.28, 59.61, 61.54, 63.38, 65.0, 66.56, 68.08, 69.5, 70.79, 72.19, 73.55] 2021-02-05 00:41:49.189: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:41:49.189: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:41:49.189: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:41:49.189: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:41:49.277: INFO @evaluate_confidence: Previous accuracy would be: 89.51 2021-02-05 00:41:49.277: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:41:49.279: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.97, 94.22, 94.34, 94.5, 94.76, 95.08, 95.24, 95.5, 95.78, 95.97, 96.16, 96.19, 96.32, 96.5, 96.59, 96.72, 96.89, 96.88, 96.97, 97.24, 97.36, 97.55, 97.56, 97.73, 97.74] 2021-02-05 00:41:49.279: INFO @evaluate_confidence: Dropped ratios are: [18.87, 19.69, 20.65, 21.48, 22.48, 23.48, 24.13, 25.21, 26.32, 27.22, 28.1, 28.9, 29.7, 30.51, 31.59, 32.64, 33.79, 34.77, 36.15, 37.31, 38.33, 39.49, 40.27, 41.39, 42.2] 2021-02-05 00:41:49.281: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:41:49.281: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:41:49.281: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:41:49.281: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:41:49.372: INFO @evaluate_confidence: Previous accuracy would be: 44.93 2021-02-05 00:41:49.372: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:41:49.373: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.63, 57.62, 58.53, 60.0, 60.77, 61.7, 62.97, 64.11, 65.12, 65.67] 2021-02-05 00:41:49.373: INFO @evaluate_confidence: Dropped ratios are: [49.1, 52.58, 55.29, 58.61, 61.11, 63.45, 65.86, 68.26, 69.79, 71.35] 2021-02-05 00:41:49.383: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:41:49.779: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:41:49.847: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:41:50.121: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:41:50.280: INFO @decay_lr : LR updated to `6.1548046e-05` 2021-02-05 00:41:50.281: INFO @log_profile : T train: 13.027687 2021-02-05 00:41:50.281: INFO @log_profile : T valid: 1.670398 2021-02-05 00:41:50.281: INFO @log_profile : T read data: 0.400956 2021-02-05 00:41:50.281: INFO @log_profile : T hooks: 4.821606 2021-02-05 00:41:50.281: INFO @main_loop : Epoch 316 done 2021-02-05 00:41:50.281: INFO @main_loop : Training epoch 317 2021-02-05 00:42:05.467: INFO @log_variables: train loss nanmean: 1.134342 2021-02-05 00:42:05.467: INFO @log_variables: train age_loss mean: 8.586816 2021-02-05 00:42:05.467: INFO @log_variables: train gender_loss mean: 0.250411 2021-02-05 00:42:05.467: INFO @log_variables: train age_mae mean: 8.033381 2021-02-05 00:42:05.467: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:42:05.467: INFO @log_variables: train gender_confidence/loss nanmean: 0.067155 2021-02-05 00:42:05.467: INFO @log_variables: train gender_confidence/accuracy mean: 0.797092 2021-02-05 00:42:05.467: INFO @log_variables: train age_confidence/loss mean: 0.058921 2021-02-05 00:42:05.467: INFO @log_variables: train age_confidence/accuracy mean: 0.672671 2021-02-05 00:42:05.467: INFO @log_variables: valid loss nanmean: 1.195817 2021-02-05 00:42:05.467: INFO @log_variables: valid age_loss mean: 8.904833 2021-02-05 00:42:05.467: INFO @log_variables: valid gender_loss mean: 0.278110 2021-02-05 00:42:05.468: INFO @log_variables: valid age_mae mean: 8.327022 2021-02-05 00:42:05.468: INFO @log_variables: valid gender_accuracy mean: 0.891119 2021-02-05 00:42:05.468: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071405 2021-02-05 00:42:05.468: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848470 2021-02-05 00:42:05.468: INFO @log_variables: valid age_confidence/loss mean: 0.062055 2021-02-05 00:42:05.468: INFO @log_variables: valid age_confidence/accuracy mean: 0.638485 2021-02-05 00:42:05.468: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:42:05.469: INFO @metrics_hook: train age_mae: 8.033 +-0.138 (13824) 2021-02-05 00:42:05.469: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:42:06.943: INFO @metrics_hook: valid age_mae: 8.327 +-0.267 (3986) 2021-02-05 00:42:06.943: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:42:08.284: INFO @decay_lr : LR updated to `6.124031e-05` 2021-02-05 00:42:08.285: INFO @log_profile : T train: 12.546709 2021-02-05 00:42:08.285: INFO @log_profile : T valid: 1.626770 2021-02-05 00:42:08.285: INFO @log_profile : T read data: 0.387901 2021-02-05 00:42:08.285: INFO @log_profile : T hooks: 3.396115 2021-02-05 00:42:08.285: INFO @main_loop : Epoch 317 done 2021-02-05 00:42:08.285: INFO @main_loop : Training epoch 318 2021-02-05 00:42:23.382: INFO @log_variables: train loss nanmean: 1.148127 2021-02-05 00:42:23.382: INFO @log_variables: train age_loss mean: 8.692945 2021-02-05 00:42:23.382: INFO @log_variables: train gender_loss mean: 0.252493 2021-02-05 00:42:23.382: INFO @log_variables: train age_mae mean: 8.133288 2021-02-05 00:42:23.382: INFO @log_variables: train gender_accuracy mean: 0.895198 2021-02-05 00:42:23.382: INFO @log_variables: train gender_confidence/loss nanmean: 0.068215 2021-02-05 00:42:23.382: INFO @log_variables: train gender_confidence/accuracy mean: 0.790686 2021-02-05 00:42:23.382: INFO @log_variables: train age_confidence/loss mean: 0.060105 2021-02-05 00:42:23.382: INFO @log_variables: train age_confidence/accuracy mean: 0.659303 2021-02-05 00:42:23.382: INFO @log_variables: valid loss nanmean: 1.207698 2021-02-05 00:42:23.382: INFO @log_variables: valid age_loss mean: 9.014375 2021-02-05 00:42:23.382: INFO @log_variables: valid gender_loss mean: 0.278819 2021-02-05 00:42:23.382: INFO @log_variables: valid age_mae mean: 8.432900 2021-02-05 00:42:23.382: INFO @log_variables: valid gender_accuracy mean: 0.892373 2021-02-05 00:42:23.383: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072486 2021-02-05 00:42:23.383: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846463 2021-02-05 00:42:23.383: INFO @log_variables: valid age_confidence/loss mean: 0.062251 2021-02-05 00:42:23.383: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:42:23.383: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:42:23.384: INFO @metrics_hook: train age_mae: 8.133 +-0.142 (13807) 2021-02-05 00:42:23.386: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13807) 2021-02-05 00:42:24.797: INFO @metrics_hook: valid age_mae: 8.433 +-0.271 (3986) 2021-02-05 00:42:24.797: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:42:26.029: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:42:26.029: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:42:26.029: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:42:26.029: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:42:26.105: INFO @evaluate_confidence: Previous accuracy would be: 89.52 2021-02-05 00:42:26.105: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:42:26.111: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.32, 94.51, 94.72, 94.93, 95.1, 95.22, 95.31, 95.54, 95.69, 95.83, 96.06, 96.14, 96.26, 96.46, 96.55, 96.59, 96.65, 96.8, 96.88, 96.95, 97.08, 97.18, 97.23, 97.41, 97.55, 97.66, 97.82] 2021-02-05 00:42:26.111: INFO @evaluate_confidence: Dropped ratios are: [21.42, 22.38, 23.31, 24.39, 25.28, 26.22, 27.04, 28.1, 29.08, 30.09, 31.11, 32.13, 33.16, 34.15, 35.19, 36.09, 37.08, 38.26, 39.32, 40.2, 41.36, 42.3, 43.49, 44.58, 45.63, 46.71, 47.75] 2021-02-05 00:42:26.117: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:42:26.117: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:42:26.117: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:42:26.117: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:42:26.215: INFO @evaluate_confidence: Previous accuracy would be: 46.85 2021-02-05 00:42:26.215: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:42:26.218: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.01, 61.11, 62.2, 63.25, 64.33, 65.68, 66.53, 67.87, 68.7, 69.49, 70.43, 71.23, 72.36, 73.42] 2021-02-05 00:42:26.218: INFO @evaluate_confidence: Dropped ratios are: [48.83, 51.41, 53.97, 56.07, 58.25, 60.29, 62.2, 64.18, 65.84, 67.43, 68.86, 70.25, 71.57, 72.81] 2021-02-05 00:42:26.220: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:42:26.220: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:42:26.220: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:42:26.220: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:42:26.294: INFO @evaluate_confidence: Previous accuracy would be: 89.24 2021-02-05 00:42:26.294: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:42:26.296: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.94, 94.13, 94.37, 94.56, 94.82, 95.11, 95.19, 95.45, 95.48, 95.74, 95.83, 96.12, 96.22, 96.29, 96.57, 96.7, 96.92, 96.88, 97.13, 97.24, 97.44, 97.64, 97.71, 97.67, 97.71] 2021-02-05 00:42:26.296: INFO @evaluate_confidence: Dropped ratios are: [18.41, 19.19, 20.27, 21.1, 22.05, 23.11, 24.31, 25.59, 26.77, 27.62, 28.45, 29.45, 30.38, 31.11, 32.06, 33.14, 34.12, 34.92, 36.13, 37.26, 38.31, 39.41, 40.72, 41.77, 43.1] 2021-02-05 00:42:26.297: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:42:26.297: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:42:26.298: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:42:26.298: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:42:26.380: INFO @evaluate_confidence: Previous accuracy would be: 44.33 2021-02-05 00:42:26.380: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:42:26.381: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.67, 56.25, 56.65, 57.21, 57.92, 59.03, 60.1, 61.18, 62.16, 63.36] 2021-02-05 00:42:26.381: INFO @evaluate_confidence: Dropped ratios are: [50.2, 53.21, 56.25, 58.78, 61.19, 63.45, 65.6, 67.69, 69.77, 71.65] 2021-02-05 00:42:26.390: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:42:26.769: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:42:26.829: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:42:27.140: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:42:27.333: INFO @decay_lr : LR updated to `6.0934108e-05` 2021-02-05 00:42:27.334: INFO @log_profile : T train: 12.509046 2021-02-05 00:42:27.334: INFO @log_profile : T valid: 1.461225 2021-02-05 00:42:27.334: INFO @log_profile : T read data: 0.509572 2021-02-05 00:42:27.334: INFO @log_profile : T hooks: 4.527161 2021-02-05 00:42:27.334: INFO @main_loop : Epoch 318 done 2021-02-05 00:42:27.334: INFO @main_loop : Training epoch 319 2021-02-05 00:42:42.761: INFO @log_variables: train loss nanmean: 1.135631 2021-02-05 00:42:42.761: INFO @log_variables: train age_loss mean: 8.504026 2021-02-05 00:42:42.761: INFO @log_variables: train gender_loss mean: 0.257032 2021-02-05 00:42:42.761: INFO @log_variables: train age_mae mean: 7.950339 2021-02-05 00:42:42.761: INFO @log_variables: train gender_accuracy mean: 0.894097 2021-02-05 00:42:42.761: INFO @log_variables: train gender_confidence/loss nanmean: 0.068103 2021-02-05 00:42:42.762: INFO @log_variables: train gender_confidence/accuracy mean: 0.789135 2021-02-05 00:42:42.762: INFO @log_variables: train age_confidence/loss mean: 0.060769 2021-02-05 00:42:42.762: INFO @log_variables: train age_confidence/accuracy mean: 0.659288 2021-02-05 00:42:42.762: INFO @log_variables: valid loss nanmean: 1.201228 2021-02-05 00:42:42.762: INFO @log_variables: valid age_loss mean: 8.972608 2021-02-05 00:42:42.762: INFO @log_variables: valid gender_loss mean: 0.275212 2021-02-05 00:42:42.762: INFO @log_variables: valid age_mae mean: 8.387365 2021-02-05 00:42:42.762: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:42:42.762: INFO @log_variables: valid gender_confidence/loss nanmean: 0.071924 2021-02-05 00:42:42.762: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840191 2021-02-05 00:42:42.762: INFO @log_variables: valid age_confidence/loss mean: 0.063420 2021-02-05 00:42:42.762: INFO @log_variables: valid age_confidence/accuracy mean: 0.622679 2021-02-05 00:42:42.762: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:42:42.764: INFO @metrics_hook: train age_mae: 7.950 +-0.140 (13824) 2021-02-05 00:42:42.766: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:42:44.204: INFO @metrics_hook: valid age_mae: 8.387 +-0.277 (3986) 2021-02-05 00:42:44.204: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:42:45.533: INFO @decay_lr : LR updated to `6.0629438e-05` 2021-02-05 00:42:45.534: INFO @log_profile : T train: 12.796396 2021-02-05 00:42:45.534: INFO @log_profile : T valid: 1.592755 2021-02-05 00:42:45.534: INFO @log_profile : T read data: 0.402135 2021-02-05 00:42:45.534: INFO @log_profile : T hooks: 3.360319 2021-02-05 00:42:45.534: INFO @main_loop : Epoch 319 done 2021-02-05 00:42:45.534: INFO @main_loop : Training epoch 320 2021-02-05 00:43:01.140: INFO @log_variables: train loss nanmean: 1.139146 2021-02-05 00:43:01.140: INFO @log_variables: train age_loss mean: 8.532393 2021-02-05 00:43:01.140: INFO @log_variables: train gender_loss mean: 0.259877 2021-02-05 00:43:01.140: INFO @log_variables: train age_mae mean: 7.981071 2021-02-05 00:43:01.140: INFO @log_variables: train gender_accuracy mean: 0.890979 2021-02-05 00:43:01.140: INFO @log_variables: train gender_confidence/loss nanmean: 0.068176 2021-02-05 00:43:01.140: INFO @log_variables: train gender_confidence/accuracy mean: 0.784924 2021-02-05 00:43:01.140: INFO @log_variables: train age_confidence/loss mean: 0.059046 2021-02-05 00:43:01.140: INFO @log_variables: train age_confidence/accuracy mean: 0.668234 2021-02-05 00:43:01.140: INFO @log_variables: valid loss nanmean: 1.200086 2021-02-05 00:43:01.140: INFO @log_variables: valid age_loss mean: 8.942864 2021-02-05 00:43:01.140: INFO @log_variables: valid gender_loss mean: 0.276928 2021-02-05 00:43:01.140: INFO @log_variables: valid age_mae mean: 8.364255 2021-02-05 00:43:01.140: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:43:01.140: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073162 2021-02-05 00:43:01.140: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844706 2021-02-05 00:43:01.140: INFO @log_variables: valid age_confidence/loss mean: 0.062184 2021-02-05 00:43:01.140: INFO @log_variables: valid age_confidence/accuracy mean: 0.634220 2021-02-05 00:43:01.140: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:43:01.141: INFO @metrics_hook: train age_mae: 7.981 +-0.140 (13823) 2021-02-05 00:43:01.142: INFO @metrics_hook: train gender_accuracy: 0.891 +-0.005 (13823) 2021-02-05 00:43:02.494: INFO @metrics_hook: valid age_mae: 8.364 +-0.269 (3986) 2021-02-05 00:43:02.495: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:43:03.742: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:43:03.742: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:43:03.742: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:43:03.742: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:43:03.820: INFO @evaluate_confidence: Previous accuracy would be: 89.10 2021-02-05 00:43:03.820: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:43:03.826: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.88, 94.03, 94.23, 94.41, 94.57, 94.81, 95.03, 95.2, 95.35, 95.48, 95.62, 95.76, 95.84, 95.98, 96.24, 96.37, 96.49, 96.64, 96.81, 96.95, 97.01, 97.16, 97.27, 97.47, 97.51, 97.7, 97.81, 97.88] 2021-02-05 00:43:03.826: INFO @evaluate_confidence: Dropped ratios are: [20.83, 21.87, 22.87, 23.9, 24.91, 25.92, 26.93, 27.92, 28.81, 29.7, 30.74, 31.72, 32.69, 33.6, 34.67, 35.7, 36.48, 37.49, 38.57, 39.54, 40.49, 41.59, 42.48, 43.68, 44.85, 45.96, 47.15, 48.12] 2021-02-05 00:43:03.832: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:43:03.832: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:43:03.832: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:43:03.832: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:43:03.920: INFO @evaluate_confidence: Previous accuracy would be: 47.01 2021-02-05 00:43:03.920: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:43:03.924: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.49, 61.56, 62.55, 63.65, 64.77, 65.96, 67.1, 68.12, 69.17, 70.23, 71.11, 72.01, 73.01, 74.02, 74.64, 75.8] 2021-02-05 00:43:03.924: INFO @evaluate_confidence: Dropped ratios are: [46.97, 49.68, 52.37, 54.88, 57.02, 58.9, 60.93, 62.67, 64.36, 65.81, 67.37, 68.88, 70.41, 71.82, 73.15, 74.53] 2021-02-05 00:43:03.926: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:43:03.926: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:43:03.926: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:43:03.926: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:43:03.999: INFO @evaluate_confidence: Previous accuracy would be: 88.96 2021-02-05 00:43:03.999: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:43:04.001: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.83, 94.1, 94.18, 94.38, 94.66, 94.81, 94.88, 95.09, 95.25, 95.43, 95.52, 95.6, 95.78, 96.05, 96.29, 96.49, 96.56, 96.62, 96.8, 96.98, 96.97, 96.97, 97.04, 97.16, 97.31] 2021-02-05 00:43:04.001: INFO @evaluate_confidence: Dropped ratios are: [19.09, 20.12, 20.72, 21.48, 22.45, 23.08, 24.11, 24.94, 26.04, 26.94, 27.7, 28.7, 29.8, 30.76, 31.69, 32.79, 33.57, 34.72, 35.67, 36.85, 37.83, 38.79, 39.84, 40.79, 42.22] 2021-02-05 00:43:04.002: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:43:04.002: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:43:04.002: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:43:04.002: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:43:04.087: INFO @evaluate_confidence: Previous accuracy would be: 44.73 2021-02-05 00:43:04.087: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:43:04.088: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.63, 56.31, 57.47, 58.6, 59.49, 61.23, 62.23, 63.12, 63.95, 64.94] 2021-02-05 00:43:04.088: INFO @evaluate_confidence: Dropped ratios are: [49.9, 53.31, 56.17, 58.55, 61.54, 64.15, 66.98, 68.92, 70.77, 72.45] 2021-02-05 00:43:04.097: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:43:04.476: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:04.538: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:43:04.810: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:04.870: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:43:05.252: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:05.313: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:43:05.314: INFO @evaluate_gender-age_model: groups 0 5.214550 1 8.615442 2 8.386499 3 8.201765 4 8.602105 5 8.789341 6 8.612973 7 7.274736 Name: errors, dtype: float64 2021-02-05 00:43:05.315: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:43:05.595: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:05.653: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:43:05.653: INFO @evaluate_gender-age_model: groups 0 6.370073 1 7.892074 2 8.273246 3 7.678742 4 8.642966 5 9.383667 6 9.486184 7 7.728254 Name: errors, dtype: float64 2021-02-05 00:43:05.756: INFO @decay_lr : LR updated to `6.0326292e-05` 2021-02-05 00:43:05.758: INFO @log_profile : T train: 12.415393 2021-02-05 00:43:05.758: INFO @log_profile : T valid: 1.578639 2021-02-05 00:43:05.758: INFO @log_profile : T read data: 0.395124 2021-02-05 00:43:05.758: INFO @log_profile : T hooks: 5.790089 2021-02-05 00:43:05.758: INFO @main_loop : Epoch 320 done 2021-02-05 00:43:05.758: INFO @main_loop : Training epoch 321 2021-02-05 00:43:21.406: INFO @log_variables: train loss nanmean: 1.146424 2021-02-05 00:43:21.406: INFO @log_variables: train age_loss mean: 8.632744 2021-02-05 00:43:21.406: INFO @log_variables: train gender_loss mean: 0.256478 2021-02-05 00:43:21.406: INFO @log_variables: train age_mae mean: 8.077671 2021-02-05 00:43:21.406: INFO @log_variables: train gender_accuracy mean: 0.893605 2021-02-05 00:43:21.406: INFO @log_variables: train gender_confidence/loss nanmean: 0.069057 2021-02-05 00:43:21.406: INFO @log_variables: train gender_confidence/accuracy mean: 0.786195 2021-02-05 00:43:21.406: INFO @log_variables: train age_confidence/loss mean: 0.059411 2021-02-05 00:43:21.406: INFO @log_variables: train age_confidence/accuracy mean: 0.665170 2021-02-05 00:43:21.407: INFO @log_variables: valid loss nanmean: 1.198476 2021-02-05 00:43:21.407: INFO @log_variables: valid age_loss mean: 8.911550 2021-02-05 00:43:21.407: INFO @log_variables: valid gender_loss mean: 0.277108 2021-02-05 00:43:21.407: INFO @log_variables: valid age_mae mean: 8.334814 2021-02-05 00:43:21.407: INFO @log_variables: valid gender_accuracy mean: 0.891370 2021-02-05 00:43:21.407: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074582 2021-02-05 00:43:21.407: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847466 2021-02-05 00:43:21.407: INFO @log_variables: valid age_confidence/loss mean: 0.061838 2021-02-05 00:43:21.407: INFO @log_variables: valid age_confidence/accuracy mean: 0.639739 2021-02-05 00:43:21.407: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:43:21.409: INFO @metrics_hook: train age_mae: 8.078 +-0.142 (13807) 2021-02-05 00:43:21.410: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13807) 2021-02-05 00:43:22.835: INFO @metrics_hook: valid age_mae: 8.335 +-0.268 (3986) 2021-02-05 00:43:22.836: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:43:24.181: INFO @decay_lr : LR updated to `6.002466e-05` 2021-02-05 00:43:24.182: INFO @log_profile : T train: 12.899478 2021-02-05 00:43:24.182: INFO @log_profile : T valid: 1.596422 2021-02-05 00:43:24.182: INFO @log_profile : T read data: 0.507596 2021-02-05 00:43:24.182: INFO @log_profile : T hooks: 3.372001 2021-02-05 00:43:24.182: INFO @main_loop : Epoch 321 done 2021-02-05 00:43:24.182: INFO @main_loop : Training epoch 322 2021-02-05 00:43:39.728: INFO @log_variables: train loss nanmean: 1.130703 2021-02-05 00:43:39.728: INFO @log_variables: train age_loss mean: 8.472425 2021-02-05 00:43:39.728: INFO @log_variables: train gender_loss mean: 0.254163 2021-02-05 00:43:39.728: INFO @log_variables: train age_mae mean: 7.918729 2021-02-05 00:43:39.728: INFO @log_variables: train gender_accuracy mean: 0.894531 2021-02-05 00:43:39.728: INFO @log_variables: train gender_confidence/loss nanmean: 0.068878 2021-02-05 00:43:39.729: INFO @log_variables: train gender_confidence/accuracy mean: 0.790220 2021-02-05 00:43:39.729: INFO @log_variables: train age_confidence/loss mean: 0.060548 2021-02-05 00:43:39.729: INFO @log_variables: train age_confidence/accuracy mean: 0.660590 2021-02-05 00:43:39.729: INFO @log_variables: valid loss nanmean: 1.213278 2021-02-05 00:43:39.729: INFO @log_variables: valid age_loss mean: 9.035677 2021-02-05 00:43:39.729: INFO @log_variables: valid gender_loss mean: 0.280312 2021-02-05 00:43:39.729: INFO @log_variables: valid age_mae mean: 8.455875 2021-02-05 00:43:39.729: INFO @log_variables: valid gender_accuracy mean: 0.887356 2021-02-05 00:43:39.729: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074689 2021-02-05 00:43:39.729: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846212 2021-02-05 00:43:39.729: INFO @log_variables: valid age_confidence/loss mean: 0.062335 2021-02-05 00:43:39.729: INFO @log_variables: valid age_confidence/accuracy mean: 0.630708 2021-02-05 00:43:39.729: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:43:39.731: INFO @metrics_hook: train age_mae: 7.919 +-0.140 (13824) 2021-02-05 00:43:39.732: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13824) 2021-02-05 00:43:41.137: INFO @metrics_hook: valid age_mae: 8.456 +-0.273 (3986) 2021-02-05 00:43:41.137: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:43:42.394: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:43:42.394: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.22 2021-02-05 00:43:42.394: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:43:42.394: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:43:42.471: INFO @evaluate_confidence: Previous accuracy would be: 89.45 2021-02-05 00:43:42.472: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:43:42.477: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.28, 94.49, 94.68, 94.8, 94.92, 95.06, 95.24, 95.38, 95.46, 95.63, 95.72, 95.87, 96.02, 96.18, 96.33, 96.5, 96.64, 96.74, 96.86, 97.05, 97.23, 97.29, 97.49, 97.58, 97.66, 97.79, 97.84] 2021-02-05 00:43:42.477: INFO @evaluate_confidence: Dropped ratios are: [21.4, 22.43, 23.38, 24.25, 25.08, 26.18, 27.16, 28.18, 29.11, 29.98, 31.09, 32.07, 33.08, 34.06, 35.13, 36.0, 37.07, 38.14, 39.12, 40.19, 41.33, 42.34, 43.25, 44.21, 45.28, 46.4, 47.44] 2021-02-05 00:43:42.483: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:43:42.483: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:43:42.483: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:43:42.483: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:43:42.580: INFO @evaluate_confidence: Previous accuracy would be: 48.03 2021-02-05 00:43:42.580: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:43:42.584: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.35, 62.58, 63.8, 65.04, 66.0, 66.88, 67.89, 68.92, 69.98, 71.02, 71.99, 72.79, 73.7, 74.69, 75.27] 2021-02-05 00:43:42.584: INFO @evaluate_confidence: Dropped ratios are: [47.61, 50.36, 52.81, 55.12, 57.07, 59.11, 61.05, 63.04, 64.73, 66.3, 67.69, 69.11, 70.6, 71.85, 73.06] 2021-02-05 00:43:42.586: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:43:42.586: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:43:42.586: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:43:42.586: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:43:42.660: INFO @evaluate_confidence: Previous accuracy would be: 88.74 2021-02-05 00:43:42.660: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:43:42.663: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.88, 93.95, 94.2, 94.42, 94.69, 94.87, 95.0, 95.02, 95.29, 95.51, 95.56, 95.6, 95.72, 95.89, 96.0, 96.22, 96.6, 96.78, 96.84, 96.86, 96.92, 97.07, 97.14, 97.28, 97.49] 2021-02-05 00:43:42.663: INFO @evaluate_confidence: Dropped ratios are: [18.84, 19.54, 20.35, 21.32, 22.48, 23.23, 23.81, 24.91, 26.02, 26.87, 27.62, 28.68, 29.6, 30.46, 31.66, 32.97, 34.3, 35.4, 36.48, 37.76, 38.94, 40.04, 41.14, 42.0, 42.98] 2021-02-05 00:43:42.665: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:43:42.665: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:43:42.665: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:43:42.665: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:43:42.756: INFO @evaluate_confidence: Previous accuracy would be: 44.48 2021-02-05 00:43:42.756: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:43:42.757: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.53, 56.34, 57.25, 58.08, 59.4, 60.56, 61.38, 62.62, 64.06] 2021-02-05 00:43:42.757: INFO @evaluate_confidence: Dropped ratios are: [51.03, 53.74, 56.75, 59.78, 62.49, 65.2, 67.59, 70.07, 71.73] 2021-02-05 00:43:42.767: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:43:43.143: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:43.200: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:43:43.490: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:43:43.654: INFO @decay_lr : LR updated to `5.9724538e-05` 2021-02-05 00:43:43.655: INFO @log_profile : T train: 12.912244 2021-02-05 00:43:43.655: INFO @log_profile : T valid: 1.582114 2021-02-05 00:43:43.655: INFO @log_profile : T read data: 0.406329 2021-02-05 00:43:43.655: INFO @log_profile : T hooks: 4.523701 2021-02-05 00:43:43.655: INFO @main_loop : Epoch 322 done 2021-02-05 00:43:43.655: INFO @main_loop : Training epoch 323 2021-02-05 00:43:59.231: INFO @log_variables: train loss nanmean: 1.136509 2021-02-05 00:43:59.232: INFO @log_variables: train age_loss mean: 8.495590 2021-02-05 00:43:59.232: INFO @log_variables: train gender_loss mean: 0.259741 2021-02-05 00:43:59.232: INFO @log_variables: train age_mae mean: 7.946133 2021-02-05 00:43:59.232: INFO @log_variables: train gender_accuracy mean: 0.894604 2021-02-05 00:43:59.232: INFO @log_variables: train gender_confidence/loss nanmean: 0.069115 2021-02-05 00:43:59.232: INFO @log_variables: train gender_confidence/accuracy mean: 0.786603 2021-02-05 00:43:59.232: INFO @log_variables: train age_confidence/loss mean: 0.058940 2021-02-05 00:43:59.232: INFO @log_variables: train age_confidence/accuracy mean: 0.668475 2021-02-05 00:43:59.232: INFO @log_variables: valid loss nanmean: 1.195758 2021-02-05 00:43:59.232: INFO @log_variables: valid age_loss mean: 8.873245 2021-02-05 00:43:59.232: INFO @log_variables: valid gender_loss mean: 0.277336 2021-02-05 00:43:59.232: INFO @log_variables: valid age_mae mean: 8.291695 2021-02-05 00:43:59.232: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:43:59.232: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073328 2021-02-05 00:43:59.232: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844706 2021-02-05 00:43:59.232: INFO @log_variables: valid age_confidence/loss mean: 0.063648 2021-02-05 00:43:59.232: INFO @log_variables: valid age_confidence/accuracy mean: 0.619418 2021-02-05 00:43:59.233: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:43:59.234: INFO @metrics_hook: train age_mae: 7.946 +-0.138 (13824) 2021-02-05 00:43:59.236: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13824) 2021-02-05 00:44:00.645: INFO @metrics_hook: valid age_mae: 8.292 +-0.272 (3986) 2021-02-05 00:44:00.646: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:44:01.976: INFO @decay_lr : LR updated to `5.9425915e-05` 2021-02-05 00:44:01.977: INFO @log_profile : T train: 12.909346 2021-02-05 00:44:01.977: INFO @log_profile : T valid: 1.608879 2021-02-05 00:44:01.977: INFO @log_profile : T read data: 0.404327 2021-02-05 00:44:01.977: INFO @log_profile : T hooks: 3.350563 2021-02-05 00:44:01.977: INFO @main_loop : Epoch 323 done 2021-02-05 00:44:01.977: INFO @main_loop : Training epoch 324 2021-02-05 00:44:17.641: INFO @log_variables: train loss nanmean: 1.147981 2021-02-05 00:44:17.641: INFO @log_variables: train age_loss mean: 8.722896 2021-02-05 00:44:17.642: INFO @log_variables: train gender_loss mean: 0.252364 2021-02-05 00:44:17.642: INFO @log_variables: train age_mae mean: 8.164370 2021-02-05 00:44:17.642: INFO @log_variables: train gender_accuracy mean: 0.892438 2021-02-05 00:44:17.642: INFO @log_variables: train gender_confidence/loss nanmean: 0.065818 2021-02-05 00:44:17.642: INFO @log_variables: train gender_confidence/accuracy mean: 0.798204 2021-02-05 00:44:17.642: INFO @log_variables: train age_confidence/loss mean: 0.059751 2021-02-05 00:44:17.642: INFO @log_variables: train age_confidence/accuracy mean: 0.664928 2021-02-05 00:44:17.642: INFO @log_variables: valid loss nanmean: 1.205853 2021-02-05 00:44:17.642: INFO @log_variables: valid age_loss mean: 8.940296 2021-02-05 00:44:17.642: INFO @log_variables: valid gender_loss mean: 0.278507 2021-02-05 00:44:17.642: INFO @log_variables: valid age_mae mean: 8.356570 2021-02-05 00:44:17.642: INFO @log_variables: valid gender_accuracy mean: 0.891370 2021-02-05 00:44:17.642: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076975 2021-02-05 00:44:17.642: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845961 2021-02-05 00:44:17.643: INFO @log_variables: valid age_confidence/loss mean: 0.062936 2021-02-05 00:44:17.643: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:44:17.643: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:44:17.644: INFO @metrics_hook: train age_mae: 8.164 +-0.143 (13806) 2021-02-05 00:44:17.646: INFO @metrics_hook: train gender_accuracy: 0.892 +-0.005 (13806) 2021-02-05 00:44:19.053: INFO @metrics_hook: valid age_mae: 8.357 +-0.274 (3986) 2021-02-05 00:44:19.053: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:44:20.309: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:44:20.309: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:44:20.309: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.17 2021-02-05 00:44:20.310: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:44:20.385: INFO @evaluate_confidence: Previous accuracy would be: 89.24 2021-02-05 00:44:20.386: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:44:20.391: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.08, 94.26, 94.39, 94.55, 94.75, 94.88, 95.11, 95.3, 95.47, 95.67, 95.78, 95.96, 96.16, 96.4, 96.62, 96.77, 96.87, 96.99, 97.13, 97.23, 97.46, 97.57, 97.74, 97.9, 97.92, 98.0, 98.1, 98.2, 98.34] 2021-02-05 00:44:20.392: INFO @evaluate_confidence: Dropped ratios are: [19.85, 20.8, 21.74, 22.49, 23.66, 24.65, 25.71, 26.74, 27.81, 28.78, 29.62, 30.41, 31.49, 32.53, 33.51, 34.6, 35.54, 36.49, 37.47, 38.47, 39.61, 40.6, 41.71, 42.81, 43.89, 44.87, 45.98, 47.16, 48.36] 2021-02-05 00:44:20.398: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:44:20.398: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:44:20.398: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:44:20.398: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:44:20.495: INFO @evaluate_confidence: Previous accuracy would be: 46.78 2021-02-05 00:44:20.495: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:44:20.499: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.83, 61.88, 63.17, 64.36, 65.09, 66.16, 67.07, 68.05, 69.04, 69.85, 70.91, 71.9, 72.75, 73.78, 74.51] 2021-02-05 00:44:20.499: INFO @evaluate_confidence: Dropped ratios are: [49.25, 51.56, 54.14, 56.31, 58.32, 60.32, 61.97, 63.52, 65.16, 66.73, 68.22, 69.58, 70.9, 72.29, 73.61] 2021-02-05 00:44:20.500: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:44:20.500: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.19 2021-02-05 00:44:20.501: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:44:20.501: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:44:20.573: INFO @evaluate_confidence: Previous accuracy would be: 89.14 2021-02-05 00:44:20.573: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:44:20.575: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.83, 94.01, 94.22, 94.4, 94.54, 94.54, 94.59, 94.62, 95.05, 95.14, 95.32, 95.61, 95.8, 95.95, 96.02, 96.28, 96.39, 96.46, 96.52, 96.67, 97.0, 97.07, 97.26, 97.38, 97.46] 2021-02-05 00:44:20.575: INFO @evaluate_confidence: Dropped ratios are: [19.54, 20.42, 21.5, 22.45, 23.33, 24.18, 24.91, 25.92, 26.97, 27.77, 28.75, 29.7, 30.76, 31.81, 32.56, 33.84, 34.75, 35.6, 36.55, 37.56, 38.86, 39.99, 41.47, 42.6, 43.63] 2021-02-05 00:44:20.576: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:44:20.576: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:44:20.576: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:44:20.577: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:44:20.664: INFO @evaluate_confidence: Previous accuracy would be: 45.51 2021-02-05 00:44:20.664: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:44:20.665: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.68, 56.94, 57.77, 59.56, 60.41, 61.38, 62.12, 62.71, 63.82, 65.58] 2021-02-05 00:44:20.665: INFO @evaluate_confidence: Dropped ratios are: [50.75, 53.91, 57.23, 59.98, 61.79, 64.07, 66.16, 68.31, 69.69, 71.5] 2021-02-05 00:44:20.674: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:44:21.055: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:44:21.117: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:44:21.387: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:44:21.552: INFO @decay_lr : LR updated to `5.9128786e-05` 2021-02-05 00:44:21.553: INFO @log_profile : T train: 12.926923 2021-02-05 00:44:21.553: INFO @log_profile : T valid: 1.577832 2021-02-05 00:44:21.553: INFO @log_profile : T read data: 0.512600 2021-02-05 00:44:21.553: INFO @log_profile : T hooks: 4.509785 2021-02-05 00:44:21.553: INFO @main_loop : Epoch 324 done 2021-02-05 00:44:21.553: INFO @main_loop : Training epoch 325 2021-02-05 00:44:37.023: INFO @log_variables: train loss nanmean: 1.135950 2021-02-05 00:44:37.023: INFO @log_variables: train age_loss mean: 8.558380 2021-02-05 00:44:37.023: INFO @log_variables: train gender_loss mean: 0.252673 2021-02-05 00:44:37.023: INFO @log_variables: train age_mae mean: 8.004499 2021-02-05 00:44:37.023: INFO @log_variables: train gender_accuracy mean: 0.898510 2021-02-05 00:44:37.023: INFO @log_variables: train gender_confidence/loss nanmean: 0.068541 2021-02-05 00:44:37.023: INFO @log_variables: train gender_confidence/accuracy mean: 0.795428 2021-02-05 00:44:37.023: INFO @log_variables: train age_confidence/loss mean: 0.059672 2021-02-05 00:44:37.023: INFO @log_variables: train age_confidence/accuracy mean: 0.667679 2021-02-05 00:44:37.023: INFO @log_variables: valid loss nanmean: 1.204241 2021-02-05 00:44:37.023: INFO @log_variables: valid age_loss mean: 8.974644 2021-02-05 00:44:37.023: INFO @log_variables: valid gender_loss mean: 0.274169 2021-02-05 00:44:37.023: INFO @log_variables: valid age_mae mean: 8.392557 2021-02-05 00:44:37.023: INFO @log_variables: valid gender_accuracy mean: 0.896136 2021-02-05 00:44:37.023: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075574 2021-02-05 00:44:37.024: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845710 2021-02-05 00:44:37.024: INFO @log_variables: valid age_confidence/loss mean: 0.063545 2021-02-05 00:44:37.024: INFO @log_variables: valid age_confidence/accuracy mean: 0.629202 2021-02-05 00:44:37.024: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:44:37.025: INFO @metrics_hook: train age_mae: 8.004 +-0.139 (13824) 2021-02-05 00:44:37.027: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 00:44:38.440: INFO @metrics_hook: valid age_mae: 8.393 +-0.275 (3986) 2021-02-05 00:44:38.441: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 00:44:39.781: INFO @decay_lr : LR updated to `5.8833142e-05` 2021-02-05 00:44:39.997: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:44:39.998: INFO @log_profile : T train: 12.855051 2021-02-05 00:44:39.998: INFO @log_profile : T valid: 1.557116 2021-02-05 00:44:39.998: INFO @log_profile : T read data: 0.410329 2021-02-05 00:44:39.999: INFO @log_profile : T hooks: 3.573298 2021-02-05 00:44:39.999: INFO @main_loop : Epoch 325 done 2021-02-05 00:44:39.999: INFO @main_loop : Training epoch 326 2021-02-05 00:44:55.472: INFO @log_variables: train loss nanmean: 1.134885 2021-02-05 00:44:55.472: INFO @log_variables: train age_loss mean: 8.510500 2021-02-05 00:44:55.472: INFO @log_variables: train gender_loss mean: 0.256730 2021-02-05 00:44:55.472: INFO @log_variables: train age_mae mean: 7.957687 2021-02-05 00:44:55.472: INFO @log_variables: train gender_accuracy mean: 0.892229 2021-02-05 00:44:55.472: INFO @log_variables: train gender_confidence/loss nanmean: 0.067176 2021-02-05 00:44:55.472: INFO @log_variables: train gender_confidence/accuracy mean: 0.800029 2021-02-05 00:44:55.472: INFO @log_variables: train age_confidence/loss mean: 0.060636 2021-02-05 00:44:55.472: INFO @log_variables: train age_confidence/accuracy mean: 0.660824 2021-02-05 00:44:55.472: INFO @log_variables: valid loss nanmean: 1.210449 2021-02-05 00:44:55.472: INFO @log_variables: valid age_loss mean: 9.014313 2021-02-05 00:44:55.472: INFO @log_variables: valid gender_loss mean: 0.278698 2021-02-05 00:44:55.472: INFO @log_variables: valid age_mae mean: 8.429435 2021-02-05 00:44:55.473: INFO @log_variables: valid gender_accuracy mean: 0.892122 2021-02-05 00:44:55.473: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075059 2021-02-05 00:44:55.473: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841194 2021-02-05 00:44:55.473: INFO @log_variables: valid age_confidence/loss mean: 0.062546 2021-02-05 00:44:55.473: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 00:44:55.473: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:44:55.474: INFO @metrics_hook: train age_mae: 7.958 +-0.142 (13807) 2021-02-05 00:44:55.476: INFO @metrics_hook: train gender_accuracy: 0.892 +-0.005 (13807) 2021-02-05 00:44:56.890: INFO @metrics_hook: valid age_mae: 8.429 +-0.276 (3986) 2021-02-05 00:44:56.890: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:44:58.137: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:44:58.137: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:44:58.137: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:44:58.137: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:44:58.213: INFO @evaluate_confidence: Previous accuracy would be: 89.22 2021-02-05 00:44:58.213: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:44:58.218: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.04, 94.23, 94.43, 94.65, 94.76, 94.9, 95.12, 95.22, 95.35, 95.52, 95.66, 95.82, 95.94, 96.13, 96.25, 96.38, 96.51, 96.66, 96.82, 96.95, 97.03, 97.21, 97.35, 97.49, 97.63, 97.78, 97.87, 97.95] 2021-02-05 00:44:58.219: INFO @evaluate_confidence: Dropped ratios are: [20.07, 21.09, 22.1, 23.02, 23.94, 24.93, 25.94, 27.02, 28.04, 28.99, 30.17, 31.22, 32.16, 33.36, 34.41, 35.32, 36.29, 37.5, 38.57, 39.54, 40.44, 41.62, 42.57, 43.49, 44.64, 45.8, 46.98, 48.17] 2021-02-05 00:44:58.224: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:44:58.224: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:44:58.224: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:44:58.225: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:44:58.317: INFO @evaluate_confidence: Previous accuracy would be: 47.64 2021-02-05 00:44:58.317: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:44:58.321: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.38, 62.47, 63.46, 64.44, 65.42, 66.61, 67.51, 68.54, 69.38, 70.42, 70.95, 71.73, 72.77, 73.35, 74.12] 2021-02-05 00:44:58.321: INFO @evaluate_confidence: Dropped ratios are: [48.21, 50.66, 52.88, 54.99, 57.04, 59.19, 61.12, 62.96, 64.61, 66.07, 67.44, 68.95, 70.4, 71.71, 72.91] 2021-02-05 00:44:58.323: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:44:58.323: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:44:58.323: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:44:58.323: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:44:58.397: INFO @evaluate_confidence: Previous accuracy would be: 89.21 2021-02-05 00:44:58.397: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:44:58.399: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.78, 94.06, 94.15, 94.26, 94.48, 94.71, 94.9, 95.16, 95.35, 95.57, 95.83, 95.93, 95.99, 96.25, 96.34, 96.51, 96.67, 96.76, 96.83, 96.99, 96.99, 97.07, 97.37, 97.48, 97.57] 2021-02-05 00:44:58.399: INFO @evaluate_confidence: Dropped ratios are: [19.72, 20.65, 21.58, 22.15, 23.16, 24.06, 25.19, 26.37, 27.12, 28.05, 28.95, 29.78, 30.53, 31.69, 32.74, 33.94, 35.22, 36.45, 37.51, 38.36, 39.11, 40.02, 40.97, 42.25, 43.2] 2021-02-05 00:44:58.402: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:44:58.402: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:44:58.402: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:44:58.402: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:44:58.494: INFO @evaluate_confidence: Previous accuracy would be: 45.11 2021-02-05 00:44:58.494: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:44:58.495: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.42, 56.99, 57.62, 58.85, 60.51, 61.4, 62.1, 63.46, 64.38] 2021-02-05 00:44:58.495: INFO @evaluate_confidence: Dropped ratios are: [52.73, 55.85, 58.5, 60.86, 63.35, 65.55, 67.56, 69.24, 71.05] 2021-02-05 00:44:58.505: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:44:58.895: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:44:58.958: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:44:59.245: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:44:59.406: INFO @decay_lr : LR updated to `5.8538975e-05` 2021-02-05 00:44:59.407: INFO @log_profile : T train: 12.785614 2021-02-05 00:44:59.407: INFO @log_profile : T valid: 1.554459 2021-02-05 00:44:59.407: INFO @log_profile : T read data: 0.504113 2021-02-05 00:44:59.407: INFO @log_profile : T hooks: 4.516621 2021-02-05 00:44:59.407: INFO @main_loop : Epoch 326 done 2021-02-05 00:44:59.407: INFO @main_loop : Training epoch 327 2021-02-05 00:45:14.975: INFO @log_variables: train loss nanmean: 1.132074 2021-02-05 00:45:14.975: INFO @log_variables: train age_loss mean: 8.573423 2021-02-05 00:45:14.975: INFO @log_variables: train gender_loss mean: 0.247696 2021-02-05 00:45:14.975: INFO @log_variables: train age_mae mean: 8.019495 2021-02-05 00:45:14.975: INFO @log_variables: train gender_accuracy mean: 0.897569 2021-02-05 00:45:14.975: INFO @log_variables: train gender_confidence/loss nanmean: 0.067695 2021-02-05 00:45:14.975: INFO @log_variables: train gender_confidence/accuracy mean: 0.795790 2021-02-05 00:45:14.975: INFO @log_variables: train age_confidence/loss mean: 0.059798 2021-02-05 00:45:14.975: INFO @log_variables: train age_confidence/accuracy mean: 0.668041 2021-02-05 00:45:14.975: INFO @log_variables: valid loss nanmean: 1.212059 2021-02-05 00:45:14.975: INFO @log_variables: valid age_loss mean: 8.998128 2021-02-05 00:45:14.975: INFO @log_variables: valid gender_loss mean: 0.282993 2021-02-05 00:45:14.975: INFO @log_variables: valid age_mae mean: 8.416853 2021-02-05 00:45:14.975: INFO @log_variables: valid gender_accuracy mean: 0.888861 2021-02-05 00:45:14.975: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074255 2021-02-05 00:45:14.975: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844957 2021-02-05 00:45:14.976: INFO @log_variables: valid age_confidence/loss mean: 0.062526 2021-02-05 00:45:14.976: INFO @log_variables: valid age_confidence/accuracy mean: 0.634471 2021-02-05 00:45:14.976: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:45:14.977: INFO @metrics_hook: train age_mae: 8.019 +-0.140 (13824) 2021-02-05 00:45:14.979: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13824) 2021-02-05 00:45:16.394: INFO @metrics_hook: valid age_mae: 8.417 +-0.269 (3986) 2021-02-05 00:45:16.395: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:45:17.737: INFO @decay_lr : LR updated to `5.824628e-05` 2021-02-05 00:45:17.738: INFO @log_profile : T train: 12.925229 2021-02-05 00:45:17.738: INFO @log_profile : T valid: 1.588133 2021-02-05 00:45:17.738: INFO @log_profile : T read data: 0.403703 2021-02-05 00:45:17.738: INFO @log_profile : T hooks: 3.364965 2021-02-05 00:45:17.738: INFO @main_loop : Epoch 327 done 2021-02-05 00:45:17.738: INFO @main_loop : Training epoch 328 2021-02-05 00:45:33.399: INFO @log_variables: train loss nanmean: 1.133849 2021-02-05 00:45:33.399: INFO @log_variables: train age_loss mean: 8.565946 2021-02-05 00:45:33.399: INFO @log_variables: train gender_loss mean: 0.250532 2021-02-05 00:45:33.399: INFO @log_variables: train age_mae mean: 8.013005 2021-02-05 00:45:33.399: INFO @log_variables: train gender_accuracy mean: 0.893663 2021-02-05 00:45:33.399: INFO @log_variables: train gender_confidence/loss nanmean: 0.067030 2021-02-05 00:45:33.399: INFO @log_variables: train gender_confidence/accuracy mean: 0.796007 2021-02-05 00:45:33.399: INFO @log_variables: train age_confidence/loss mean: 0.060341 2021-02-05 00:45:33.399: INFO @log_variables: train age_confidence/accuracy mean: 0.659144 2021-02-05 00:45:33.399: INFO @log_variables: valid loss nanmean: 1.201966 2021-02-05 00:45:33.399: INFO @log_variables: valid age_loss mean: 8.851349 2021-02-05 00:45:33.399: INFO @log_variables: valid gender_loss mean: 0.284645 2021-02-05 00:45:33.399: INFO @log_variables: valid age_mae mean: 8.274649 2021-02-05 00:45:33.400: INFO @log_variables: valid gender_accuracy mean: 0.890366 2021-02-05 00:45:33.400: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075479 2021-02-05 00:45:33.400: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841696 2021-02-05 00:45:33.400: INFO @log_variables: valid age_confidence/loss mean: 0.063052 2021-02-05 00:45:33.400: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:45:33.400: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:45:33.401: INFO @metrics_hook: train age_mae: 8.013 +-0.141 (13824) 2021-02-05 00:45:33.403: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:45:34.782: INFO @metrics_hook: valid age_mae: 8.275 +-0.267 (3986) 2021-02-05 00:45:34.783: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:45:36.020: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:45:36.020: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:45:36.020: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:45:36.020: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:45:36.096: INFO @evaluate_confidence: Previous accuracy would be: 89.37 2021-02-05 00:45:36.096: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:45:36.102: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.14, 94.31, 94.54, 94.63, 94.81, 94.98, 95.22, 95.43, 95.61, 95.78, 96.0, 96.11, 96.27, 96.36, 96.55, 96.6, 96.74, 96.87, 97.0, 97.19, 97.3, 97.36, 97.49, 97.73, 97.77, 97.82, 97.9, 97.99, 98.1] 2021-02-05 00:45:36.102: INFO @evaluate_confidence: Dropped ratios are: [19.82, 20.7, 21.75, 22.74, 23.65, 24.67, 25.65, 26.71, 27.76, 28.9, 29.87, 30.85, 31.67, 32.65, 33.52, 34.45, 35.42, 36.47, 37.48, 38.56, 39.54, 40.6, 41.59, 42.74, 43.88, 44.91, 46.0, 47.01, 48.09] 2021-02-05 00:45:36.108: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:45:36.108: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:45:36.108: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:45:36.108: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.18 2021-02-05 00:45:36.204: INFO @evaluate_confidence: Previous accuracy would be: 47.52 2021-02-05 00:45:36.204: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:45:36.207: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [60.81, 61.78, 62.94, 63.99, 65.2, 66.41, 67.16, 68.03, 69.03, 70.27, 71.18, 71.9, 72.48, 73.33, 74.54] 2021-02-05 00:45:36.208: INFO @evaluate_confidence: Dropped ratios are: [47.52, 49.88, 52.67, 54.98, 56.94, 59.19, 61.18, 62.98, 64.71, 66.45, 67.87, 69.39, 70.8, 72.09, 73.32] 2021-02-05 00:45:36.209: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:45:36.209: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:45:36.209: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 00:45:36.209: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:45:36.282: INFO @evaluate_confidence: Previous accuracy would be: 89.04 2021-02-05 00:45:36.282: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:45:36.284: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.9, 94.01, 94.16, 94.2, 94.38, 94.52, 94.84, 94.96, 95.16, 95.31, 95.46, 95.55, 95.74, 96.03, 96.2, 96.38, 96.53, 96.65, 96.79, 96.94, 97.09, 97.24, 97.32, 97.31, 97.51] 2021-02-05 00:45:36.284: INFO @evaluate_confidence: Dropped ratios are: [19.74, 20.37, 21.42, 22.08, 22.78, 23.53, 24.64, 25.31, 26.34, 27.22, 28.17, 29.0, 29.88, 31.06, 32.09, 33.42, 34.14, 35.55, 36.6, 37.71, 38.76, 39.91, 40.97, 42.27, 43.68] 2021-02-05 00:45:36.286: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:45:36.286: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:45:36.286: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:45:36.286: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:45:36.367: INFO @evaluate_confidence: Previous accuracy would be: 45.36 2021-02-05 00:45:36.368: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:45:36.369: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.25, 57.47, 58.25, 59.04, 60.31, 60.76, 62.43, 63.78, 64.49, 65.48] 2021-02-05 00:45:36.369: INFO @evaluate_confidence: Dropped ratios are: [49.25, 52.33, 55.77, 58.66, 61.57, 63.75, 66.41, 68.77, 70.47, 72.53] 2021-02-05 00:45:36.378: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:45:36.742: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:45:36.798: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:45:37.072: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:45:37.231: INFO @decay_lr : LR updated to `5.795505e-05` 2021-02-05 00:45:37.232: INFO @log_profile : T train: 12.983251 2021-02-05 00:45:37.233: INFO @log_profile : T valid: 1.630907 2021-02-05 00:45:37.233: INFO @log_profile : T read data: 0.402692 2021-02-05 00:45:37.233: INFO @log_profile : T hooks: 4.428449 2021-02-05 00:45:37.233: INFO @main_loop : Epoch 328 done 2021-02-05 00:45:37.233: INFO @main_loop : Training epoch 329 2021-02-05 00:45:52.856: INFO @log_variables: train loss nanmean: 1.143523 2021-02-05 00:45:52.856: INFO @log_variables: train age_loss mean: 8.630853 2021-02-05 00:45:52.856: INFO @log_variables: train gender_loss mean: 0.254692 2021-02-05 00:45:52.856: INFO @log_variables: train age_mae mean: 8.075000 2021-02-05 00:45:52.856: INFO @log_variables: train gender_accuracy mean: 0.894619 2021-02-05 00:45:52.856: INFO @log_variables: train gender_confidence/loss nanmean: 0.067563 2021-02-05 00:45:52.857: INFO @log_variables: train gender_confidence/accuracy mean: 0.794162 2021-02-05 00:45:52.857: INFO @log_variables: train age_confidence/loss mean: 0.059798 2021-02-05 00:45:52.857: INFO @log_variables: train age_confidence/accuracy mean: 0.658796 2021-02-05 00:45:52.857: INFO @log_variables: valid loss nanmean: 1.204357 2021-02-05 00:45:52.857: INFO @log_variables: valid age_loss mean: 8.900998 2021-02-05 00:45:52.857: INFO @log_variables: valid gender_loss mean: 0.282113 2021-02-05 00:45:52.857: INFO @log_variables: valid age_mae mean: 8.322324 2021-02-05 00:45:52.857: INFO @log_variables: valid gender_accuracy mean: 0.892122 2021-02-05 00:45:52.857: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075815 2021-02-05 00:45:52.857: INFO @log_variables: valid gender_confidence/accuracy mean: 0.833668 2021-02-05 00:45:52.857: INFO @log_variables: valid age_confidence/loss mean: 0.062893 2021-02-05 00:45:52.857: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:45:52.857: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:45:52.859: INFO @metrics_hook: train age_mae: 8.075 +-0.142 (13807) 2021-02-05 00:45:52.860: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13807) 2021-02-05 00:45:54.250: INFO @metrics_hook: valid age_mae: 8.322 +-0.269 (3986) 2021-02-05 00:45:54.251: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:45:55.560: INFO @decay_lr : LR updated to `5.7665275e-05` 2021-02-05 00:45:55.561: INFO @log_profile : T train: 12.904254 2021-02-05 00:45:55.561: INFO @log_profile : T valid: 1.564945 2021-02-05 00:45:55.561: INFO @log_profile : T read data: 0.504709 2021-02-05 00:45:55.561: INFO @log_profile : T hooks: 3.304750 2021-02-05 00:45:55.561: INFO @main_loop : Epoch 329 done 2021-02-05 00:45:55.561: INFO @main_loop : Training epoch 330 2021-02-05 00:46:11.486: INFO @log_variables: train loss nanmean: 1.124984 2021-02-05 00:46:11.486: INFO @log_variables: train age_loss mean: 8.500733 2021-02-05 00:46:11.486: INFO @log_variables: train gender_loss mean: 0.247153 2021-02-05 00:46:11.486: INFO @log_variables: train age_mae mean: 7.949548 2021-02-05 00:46:11.486: INFO @log_variables: train gender_accuracy mean: 0.898727 2021-02-05 00:46:11.486: INFO @log_variables: train gender_confidence/loss nanmean: 0.067536 2021-02-05 00:46:11.486: INFO @log_variables: train gender_confidence/accuracy mean: 0.795284 2021-02-05 00:46:11.486: INFO @log_variables: train age_confidence/loss mean: 0.059970 2021-02-05 00:46:11.487: INFO @log_variables: train age_confidence/accuracy mean: 0.664714 2021-02-05 00:46:11.487: INFO @log_variables: valid loss nanmean: 1.206089 2021-02-05 00:46:11.487: INFO @log_variables: valid age_loss mean: 8.910848 2021-02-05 00:46:11.487: INFO @log_variables: valid gender_loss mean: 0.285083 2021-02-05 00:46:11.487: INFO @log_variables: valid age_mae mean: 8.330524 2021-02-05 00:46:11.487: INFO @log_variables: valid gender_accuracy mean: 0.888108 2021-02-05 00:46:11.487: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074143 2021-02-05 00:46:11.487: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842449 2021-02-05 00:46:11.487: INFO @log_variables: valid age_confidence/loss mean: 0.062702 2021-02-05 00:46:11.487: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:46:11.487: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:46:11.489: INFO @metrics_hook: train age_mae: 7.950 +-0.140 (13824) 2021-02-05 00:46:11.491: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 00:46:12.877: INFO @metrics_hook: valid age_mae: 8.331 +-0.271 (3986) 2021-02-05 00:46:12.877: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:46:14.088: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:46:14.088: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:46:14.089: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:46:14.089: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:46:14.163: INFO @evaluate_confidence: Previous accuracy would be: 89.87 2021-02-05 00:46:14.163: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:46:14.169: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.47, 94.7, 94.89, 95.11, 95.29, 95.43, 95.61, 95.78, 95.87, 95.98, 96.11, 96.23, 96.27, 96.35, 96.5, 96.62, 96.77, 96.87, 96.98, 97.14, 97.24, 97.35, 97.5, 97.58, 97.66, 97.73, 97.87, 97.95] 2021-02-05 00:46:14.169: INFO @evaluate_confidence: Dropped ratios are: [20.64, 21.67, 22.7, 23.73, 24.67, 25.64, 26.61, 27.56, 28.59, 29.54, 30.56, 31.59, 32.56, 33.62, 34.61, 35.52, 36.4, 37.4, 38.35, 39.5, 40.52, 41.54, 42.81, 43.84, 44.99, 46.13, 47.07, 48.18] 2021-02-05 00:46:14.175: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:46:14.175: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:46:14.175: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:46:14.175: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:46:14.266: INFO @evaluate_confidence: Previous accuracy would be: 47.66 2021-02-05 00:46:14.267: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:46:14.270: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.84, 62.87, 63.88, 64.98, 65.89, 67.16, 68.28, 69.37, 70.38, 71.19, 72.18, 72.88, 73.39, 73.9, 74.96] 2021-02-05 00:46:14.270: INFO @evaluate_confidence: Dropped ratios are: [49.12, 51.71, 53.91, 56.05, 58.18, 60.07, 61.92, 63.61, 65.34, 66.93, 68.33, 69.76, 71.21, 72.37, 73.63] 2021-02-05 00:46:14.272: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:46:14.272: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:46:14.272: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:46:14.272: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:46:14.341: INFO @evaluate_confidence: Previous accuracy would be: 88.81 2021-02-05 00:46:14.342: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:46:14.343: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.25, 93.33, 93.39, 93.62, 93.84, 94.05, 94.34, 94.48, 94.79, 94.93, 95.08, 95.43, 95.61, 95.64, 95.86, 96.33, 96.57, 96.67, 96.77, 96.99, 96.99, 97.22, 97.31, 97.34, 97.4] 2021-02-05 00:46:14.343: INFO @evaluate_confidence: Dropped ratios are: [18.94, 19.87, 20.72, 21.73, 22.58, 23.73, 24.61, 25.44, 26.39, 27.2, 28.15, 29.23, 30.26, 30.93, 32.06, 33.04, 34.24, 35.27, 36.28, 37.53, 38.31, 39.51, 40.37, 41.6, 43.1] 2021-02-05 00:46:14.345: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:46:14.345: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:46:14.345: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:46:14.345: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:46:14.427: INFO @evaluate_confidence: Previous accuracy would be: 45.46 2021-02-05 00:46:14.427: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:46:14.428: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.36, 57.48, 58.76, 59.94, 60.75, 61.8, 62.52, 64.05, 65.22, 67.06] 2021-02-05 00:46:14.428: INFO @evaluate_confidence: Dropped ratios are: [50.33, 53.69, 56.75, 59.48, 61.72, 64.27, 66.33, 68.67, 70.5, 72.43] 2021-02-05 00:46:14.437: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:46:14.826: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:14.881: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:46:15.151: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:15.211: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:46:15.573: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:15.629: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:46:15.630: INFO @evaluate_gender-age_model: groups 0 4.373222 1 8.220626 2 8.496964 3 8.279406 4 8.761998 5 9.276418 6 8.712052 7 7.317861 Name: errors, dtype: float64 2021-02-05 00:46:15.630: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:46:15.905: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:15.963: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:46:15.963: INFO @evaluate_gender-age_model: groups 0 6.474254 1 7.941249 2 8.047755 3 7.587972 4 9.033966 5 9.656250 6 9.145837 7 7.266327 Name: errors, dtype: float64 2021-02-05 00:46:16.061: INFO @decay_lr : LR updated to `5.7376947e-05` 2021-02-05 00:46:16.062: INFO @log_profile : T train: 12.857566 2021-02-05 00:46:16.062: INFO @log_profile : T valid: 1.523384 2021-02-05 00:46:16.062: INFO @log_profile : T read data: 0.404395 2021-02-05 00:46:16.062: INFO @log_profile : T hooks: 5.668042 2021-02-05 00:46:16.062: INFO @main_loop : Epoch 330 done 2021-02-05 00:46:16.062: INFO @main_loop : Training epoch 331 2021-02-05 00:46:31.637: INFO @log_variables: train loss nanmean: 1.140869 2021-02-05 00:46:31.637: INFO @log_variables: train age_loss mean: 8.607241 2021-02-05 00:46:31.638: INFO @log_variables: train gender_loss mean: 0.254135 2021-02-05 00:46:31.638: INFO @log_variables: train age_mae mean: 8.051538 2021-02-05 00:46:31.638: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:46:31.638: INFO @log_variables: train gender_confidence/loss nanmean: 0.067964 2021-02-05 00:46:31.638: INFO @log_variables: train gender_confidence/accuracy mean: 0.793764 2021-02-05 00:46:31.638: INFO @log_variables: train age_confidence/loss mean: 0.059396 2021-02-05 00:46:31.638: INFO @log_variables: train age_confidence/accuracy mean: 0.667607 2021-02-05 00:46:31.638: INFO @log_variables: valid loss nanmean: 1.206913 2021-02-05 00:46:31.638: INFO @log_variables: valid age_loss mean: 8.913269 2021-02-05 00:46:31.638: INFO @log_variables: valid gender_loss mean: 0.286602 2021-02-05 00:46:31.638: INFO @log_variables: valid age_mae mean: 8.334933 2021-02-05 00:46:31.638: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:46:31.638: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072453 2021-02-05 00:46:31.638: INFO @log_variables: valid gender_confidence/accuracy mean: 0.835424 2021-02-05 00:46:31.638: INFO @log_variables: valid age_confidence/loss mean: 0.063616 2021-02-05 00:46:31.638: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:46:31.638: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:46:31.640: INFO @metrics_hook: train age_mae: 8.052 +-0.143 (13824) 2021-02-05 00:46:31.642: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:46:33.051: INFO @metrics_hook: valid age_mae: 8.335 +-0.272 (3986) 2021-02-05 00:46:33.051: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:46:34.367: INFO @decay_lr : LR updated to `5.7090063e-05` 2021-02-05 00:46:34.368: INFO @log_profile : T train: 12.944767 2021-02-05 00:46:34.368: INFO @log_profile : T valid: 1.576756 2021-02-05 00:46:34.368: INFO @log_profile : T read data: 0.394826 2021-02-05 00:46:34.368: INFO @log_profile : T hooks: 3.338938 2021-02-05 00:46:34.368: INFO @main_loop : Epoch 331 done 2021-02-05 00:46:34.368: INFO @main_loop : Training epoch 332 2021-02-05 00:46:49.983: INFO @log_variables: train loss nanmean: 1.144184 2021-02-05 00:46:49.983: INFO @log_variables: train age_loss mean: 8.644110 2021-02-05 00:46:49.983: INFO @log_variables: train gender_loss mean: 0.254600 2021-02-05 00:46:49.983: INFO @log_variables: train age_mae mean: 8.085872 2021-02-05 00:46:49.983: INFO @log_variables: train gender_accuracy mean: 0.892808 2021-02-05 00:46:49.983: INFO @log_variables: train gender_confidence/loss nanmean: 0.067021 2021-02-05 00:46:49.983: INFO @log_variables: train gender_confidence/accuracy mean: 0.790251 2021-02-05 00:46:49.983: INFO @log_variables: train age_confidence/loss mean: 0.059880 2021-02-05 00:46:49.983: INFO @log_variables: train age_confidence/accuracy mean: 0.662562 2021-02-05 00:46:49.984: INFO @log_variables: valid loss nanmean: 1.201322 2021-02-05 00:46:49.984: INFO @log_variables: valid age_loss mean: 8.880353 2021-02-05 00:46:49.984: INFO @log_variables: valid gender_loss mean: 0.282390 2021-02-05 00:46:49.984: INFO @log_variables: valid age_mae mean: 8.303709 2021-02-05 00:46:49.984: INFO @log_variables: valid gender_accuracy mean: 0.889363 2021-02-05 00:46:49.984: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075080 2021-02-05 00:46:49.984: INFO @log_variables: valid gender_confidence/accuracy mean: 0.836177 2021-02-05 00:46:49.984: INFO @log_variables: valid age_confidence/loss mean: 0.062218 2021-02-05 00:46:49.984: INFO @log_variables: valid age_confidence/accuracy mean: 0.624686 2021-02-05 00:46:49.984: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:46:49.986: INFO @metrics_hook: train age_mae: 8.086 +-0.142 (13807) 2021-02-05 00:46:49.988: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13807) 2021-02-05 00:46:51.381: INFO @metrics_hook: valid age_mae: 8.304 +-0.267 (3986) 2021-02-05 00:46:51.381: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:46:52.614: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:46:52.614: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:46:52.614: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:46:52.614: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:46:52.690: INFO @evaluate_confidence: Previous accuracy would be: 89.28 2021-02-05 00:46:52.691: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:46:52.696: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.31, 94.45, 94.61, 94.73, 94.93, 95.1, 95.31, 95.5, 95.63, 95.72, 95.87, 96.04, 96.25, 96.36, 96.49, 96.59, 96.62, 96.73, 96.84, 96.98, 97.19, 97.29, 97.44, 97.57, 97.68, 97.75, 97.95, 98.03] 2021-02-05 00:46:52.696: INFO @evaluate_confidence: Dropped ratios are: [20.8, 21.76, 22.7, 23.65, 24.79, 25.63, 26.64, 27.65, 28.59, 29.43, 30.38, 31.54, 32.45, 33.45, 34.34, 35.26, 36.21, 37.23, 38.18, 39.17, 40.21, 41.23, 42.19, 43.16, 44.23, 45.29, 46.37, 47.42] 2021-02-05 00:46:52.702: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:46:52.702: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:46:52.702: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:46:52.702: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:46:52.795: INFO @evaluate_confidence: Previous accuracy would be: 47.01 2021-02-05 00:46:52.795: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:46:52.799: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.01, 62.08, 62.94, 63.81, 64.94, 66.05, 66.93, 67.98, 69.15, 69.98, 71.1, 72.0, 72.77, 73.72, 74.52] 2021-02-05 00:46:52.799: INFO @evaluate_confidence: Dropped ratios are: [49.21, 51.6, 53.96, 56.31, 58.17, 60.06, 61.83, 63.65, 65.39, 67.02, 68.72, 70.05, 71.3, 72.49, 73.7] 2021-02-05 00:46:52.801: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:46:52.801: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:46:52.801: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 00:46:52.801: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:46:52.874: INFO @evaluate_confidence: Previous accuracy would be: 88.94 2021-02-05 00:46:52.874: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:46:52.876: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.54, 93.75, 93.96, 94.0, 94.12, 94.45, 94.71, 95.04, 95.23, 95.45, 95.67, 95.87, 96.1, 96.22, 96.39, 96.46, 96.52, 96.7, 96.94, 96.97, 97.2, 97.25, 97.25, 97.34] 2021-02-05 00:46:52.876: INFO @evaluate_confidence: Dropped ratios are: [19.99, 20.92, 21.93, 22.7, 23.58, 24.49, 25.49, 26.62, 27.92, 28.93, 29.88, 30.76, 31.76, 32.89, 33.94, 34.87, 35.9, 36.95, 37.73, 38.71, 39.89, 40.67, 41.52, 42.55] 2021-02-05 00:46:52.877: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:46:52.877: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:46:52.877: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:46:52.878: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:46:52.959: INFO @evaluate_confidence: Previous accuracy would be: 44.88 2021-02-05 00:46:52.959: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:46:52.960: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.47, 57.36, 58.6, 58.96, 59.44, 60.13, 61.01, 62.06, 63.08] 2021-02-05 00:46:52.960: INFO @evaluate_confidence: Dropped ratios are: [52.11, 55.34, 58.3, 60.81, 63.07, 65.45, 67.64, 69.52, 71.12] 2021-02-05 00:46:52.969: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:46:53.339: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:53.397: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:46:53.668: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:46:53.823: INFO @decay_lr : LR updated to `5.6804613e-05` 2021-02-05 00:46:53.824: INFO @log_profile : T train: 12.820396 2021-02-05 00:46:53.825: INFO @log_profile : T valid: 1.610107 2021-02-05 00:46:53.825: INFO @log_profile : T read data: 0.527066 2021-02-05 00:46:53.825: INFO @log_profile : T hooks: 4.449702 2021-02-05 00:46:53.825: INFO @main_loop : Epoch 332 done 2021-02-05 00:46:53.825: INFO @main_loop : Training epoch 333 2021-02-05 00:47:09.327: INFO @log_variables: train loss nanmean: 1.133517 2021-02-05 00:47:09.327: INFO @log_variables: train age_loss mean: 8.543245 2021-02-05 00:47:09.327: INFO @log_variables: train gender_loss mean: 0.253299 2021-02-05 00:47:09.327: INFO @log_variables: train age_mae mean: 7.990435 2021-02-05 00:47:09.327: INFO @log_variables: train gender_accuracy mean: 0.894314 2021-02-05 00:47:09.327: INFO @log_variables: train gender_confidence/loss nanmean: 0.066853 2021-02-05 00:47:09.327: INFO @log_variables: train gender_confidence/accuracy mean: 0.792679 2021-02-05 00:47:09.327: INFO @log_variables: train age_confidence/loss mean: 0.059733 2021-02-05 00:47:09.327: INFO @log_variables: train age_confidence/accuracy mean: 0.662471 2021-02-05 00:47:09.327: INFO @log_variables: valid loss nanmean: 1.206706 2021-02-05 00:47:09.327: INFO @log_variables: valid age_loss mean: 8.917279 2021-02-05 00:47:09.328: INFO @log_variables: valid gender_loss mean: 0.283157 2021-02-05 00:47:09.328: INFO @log_variables: valid age_mae mean: 8.339803 2021-02-05 00:47:09.328: INFO @log_variables: valid gender_accuracy mean: 0.890868 2021-02-05 00:47:09.328: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075284 2021-02-05 00:47:09.328: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840692 2021-02-05 00:47:09.328: INFO @log_variables: valid age_confidence/loss mean: 0.063345 2021-02-05 00:47:09.328: INFO @log_variables: valid age_confidence/accuracy mean: 0.625439 2021-02-05 00:47:09.328: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:47:09.329: INFO @metrics_hook: train age_mae: 7.990 +-0.141 (13824) 2021-02-05 00:47:09.329: INFO @metrics_hook: train gender_accuracy: 0.894 +-0.005 (13824) 2021-02-05 00:47:10.809: INFO @metrics_hook: valid age_mae: 8.340 +-0.271 (3986) 2021-02-05 00:47:10.809: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:47:12.241: INFO @decay_lr : LR updated to `5.652059e-05` 2021-02-05 00:47:12.242: INFO @log_profile : T train: 12.859259 2021-02-05 00:47:12.242: INFO @log_profile : T valid: 1.639666 2021-02-05 00:47:12.242: INFO @log_profile : T read data: 0.393515 2021-02-05 00:47:12.242: INFO @log_profile : T hooks: 3.477218 2021-02-05 00:47:12.242: INFO @main_loop : Epoch 333 done 2021-02-05 00:47:12.242: INFO @main_loop : Training epoch 334 2021-02-05 00:47:27.617: INFO @log_variables: train loss nanmean: 1.136282 2021-02-05 00:47:27.617: INFO @log_variables: train age_loss mean: 8.647585 2021-02-05 00:47:27.617: INFO @log_variables: train gender_loss mean: 0.245643 2021-02-05 00:47:27.618: INFO @log_variables: train age_mae mean: 8.089185 2021-02-05 00:47:27.618: INFO @log_variables: train gender_accuracy mean: 0.897280 2021-02-05 00:47:27.618: INFO @log_variables: train gender_confidence/loss nanmean: 0.066921 2021-02-05 00:47:27.618: INFO @log_variables: train gender_confidence/accuracy mean: 0.796658 2021-02-05 00:47:27.618: INFO @log_variables: train age_confidence/loss mean: 0.059904 2021-02-05 00:47:27.618: INFO @log_variables: train age_confidence/accuracy mean: 0.660590 2021-02-05 00:47:27.618: INFO @log_variables: valid loss nanmean: 1.194003 2021-02-05 00:47:27.618: INFO @log_variables: valid age_loss mean: 8.830995 2021-02-05 00:47:27.618: INFO @log_variables: valid gender_loss mean: 0.280690 2021-02-05 00:47:27.618: INFO @log_variables: valid age_mae mean: 8.256479 2021-02-05 00:47:27.618: INFO @log_variables: valid gender_accuracy mean: 0.892122 2021-02-05 00:47:27.618: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073321 2021-02-05 00:47:27.618: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849975 2021-02-05 00:47:27.618: INFO @log_variables: valid age_confidence/loss mean: 0.062691 2021-02-05 00:47:27.619: INFO @log_variables: valid age_confidence/accuracy mean: 0.624686 2021-02-05 00:47:27.619: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:47:27.620: INFO @metrics_hook: train age_mae: 8.089 +-0.143 (13824) 2021-02-05 00:47:27.622: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 00:47:29.027: INFO @metrics_hook: valid age_mae: 8.256 +-0.266 (3986) 2021-02-05 00:47:29.027: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:47:30.260: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:47:30.260: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:47:30.260: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:47:30.260: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:47:30.337: INFO @evaluate_confidence: Previous accuracy would be: 89.73 2021-02-05 00:47:30.337: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:47:30.343: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.52, 94.7, 94.91, 95.03, 95.18, 95.31, 95.43, 95.55, 95.74, 95.84, 96.02, 96.15, 96.27, 96.52, 96.66, 96.83, 96.96, 97.11, 97.22, 97.34, 97.43, 97.47, 97.53, 97.67, 97.8, 97.91, 97.99, 98.13, 98.23] 2021-02-05 00:47:30.343: INFO @evaluate_confidence: Dropped ratios are: [20.13, 21.09, 22.09, 22.95, 23.79, 24.8, 25.58, 26.5, 27.61, 28.44, 29.28, 30.32, 31.29, 32.41, 33.24, 34.28, 35.25, 36.24, 37.27, 38.27, 39.13, 39.97, 40.96, 42.06, 43.1, 44.05, 44.97, 46.12, 47.25] 2021-02-05 00:47:30.349: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:47:30.349: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:47:30.349: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:47:30.349: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:47:30.443: INFO @evaluate_confidence: Previous accuracy would be: 47.24 2021-02-05 00:47:30.443: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:47:30.447: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.16, 62.27, 63.18, 64.42, 65.32, 66.52, 67.64, 68.67, 69.42, 70.79, 71.98, 73.11, 73.78, 74.6, 75.82] 2021-02-05 00:47:30.447: INFO @evaluate_confidence: Dropped ratios are: [49.0, 51.46, 53.77, 56.09, 58.09, 59.99, 62.26, 64.1, 65.79, 67.53, 69.07, 70.46, 71.53, 72.71, 74.0] 2021-02-05 00:47:30.449: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:47:30.449: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:47:30.449: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:47:30.449: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:47:30.523: INFO @evaluate_confidence: Previous accuracy would be: 89.21 2021-02-05 00:47:30.523: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:47:30.525: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.95, 93.97, 94.29, 94.36, 94.76, 94.84, 94.95, 95.03, 95.18, 95.43, 95.49, 95.55, 95.82, 96.03, 96.23, 96.4, 96.58, 96.65, 96.72, 96.82, 96.91, 97.03, 97.14, 97.3, 97.33] 2021-02-05 00:47:30.525: INFO @evaluate_confidence: Dropped ratios are: [18.72, 19.67, 20.45, 21.32, 22.38, 23.23, 24.03, 25.24, 26.07, 26.97, 27.75, 28.93, 29.75, 30.41, 31.44, 32.34, 33.29, 34.02, 35.0, 36.18, 37.43, 38.31, 39.41, 40.62, 41.8] 2021-02-05 00:47:30.527: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:47:30.527: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:47:30.527: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.11 2021-02-05 00:47:30.527: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:47:30.611: INFO @evaluate_confidence: Previous accuracy would be: 45.11 2021-02-05 00:47:30.611: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:47:30.612: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.12, 57.0, 57.7, 58.5, 59.34, 60.0, 61.11, 62.44, 63.57] 2021-02-05 00:47:30.612: INFO @evaluate_confidence: Dropped ratios are: [51.81, 54.84, 57.48, 60.29, 62.92, 65.25, 67.36, 69.54, 71.15] 2021-02-05 00:47:30.621: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:47:31.005: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:47:31.066: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:47:31.351: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:47:31.509: INFO @decay_lr : LR updated to `5.6237986e-05` 2021-02-05 00:47:31.510: INFO @log_profile : T train: 12.845361 2021-02-05 00:47:31.510: INFO @log_profile : T valid: 1.527428 2021-02-05 00:47:31.510: INFO @log_profile : T read data: 0.389671 2021-02-05 00:47:31.510: INFO @log_profile : T hooks: 4.458017 2021-02-05 00:47:31.510: INFO @main_loop : Epoch 334 done 2021-02-05 00:47:31.510: INFO @main_loop : Training epoch 335 2021-02-05 00:47:46.331: INFO @log_variables: train loss nanmean: 1.131526 2021-02-05 00:47:46.332: INFO @log_variables: train age_loss mean: 8.526197 2021-02-05 00:47:46.332: INFO @log_variables: train gender_loss mean: 0.251312 2021-02-05 00:47:46.332: INFO @log_variables: train age_mae mean: 7.971117 2021-02-05 00:47:46.332: INFO @log_variables: train gender_accuracy mean: 0.896067 2021-02-05 00:47:46.332: INFO @log_variables: train gender_confidence/loss nanmean: 0.068239 2021-02-05 00:47:46.332: INFO @log_variables: train gender_confidence/accuracy mean: 0.791555 2021-02-05 00:47:46.332: INFO @log_variables: train age_confidence/loss mean: 0.059712 2021-02-05 00:47:46.332: INFO @log_variables: train age_confidence/accuracy mean: 0.665604 2021-02-05 00:47:46.332: INFO @log_variables: valid loss nanmean: 1.199132 2021-02-05 00:47:46.332: INFO @log_variables: valid age_loss mean: 8.915356 2021-02-05 00:47:46.332: INFO @log_variables: valid gender_loss mean: 0.277463 2021-02-05 00:47:46.332: INFO @log_variables: valid age_mae mean: 8.335978 2021-02-05 00:47:46.332: INFO @log_variables: valid gender_accuracy mean: 0.888610 2021-02-05 00:47:46.332: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073876 2021-02-05 00:47:46.332: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847717 2021-02-05 00:47:46.333: INFO @log_variables: valid age_confidence/loss mean: 0.062531 2021-02-05 00:47:46.333: INFO @log_variables: valid age_confidence/accuracy mean: 0.636979 2021-02-05 00:47:46.333: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:47:46.335: INFO @metrics_hook: train age_mae: 7.971 +-0.139 (13807) 2021-02-05 00:47:46.336: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13807) 2021-02-05 00:47:47.909: INFO @metrics_hook: valid age_mae: 8.336 +-0.270 (3986) 2021-02-05 00:47:47.909: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:47:49.382: INFO @decay_lr : LR updated to `5.5956796e-05` 2021-02-05 00:47:49.383: INFO @log_profile : T train: 12.235765 2021-02-05 00:47:49.383: INFO @log_profile : T valid: 1.424765 2021-02-05 00:47:49.383: INFO @log_profile : T read data: 0.530292 2021-02-05 00:47:49.383: INFO @log_profile : T hooks: 3.636095 2021-02-05 00:47:49.384: INFO @main_loop : Epoch 335 done 2021-02-05 00:47:49.384: INFO @main_loop : Training epoch 336 2021-02-05 00:48:04.826: INFO @log_variables: train loss nanmean: 1.122160 2021-02-05 00:48:04.826: INFO @log_variables: train age_loss mean: 8.416033 2021-02-05 00:48:04.826: INFO @log_variables: train gender_loss mean: 0.252454 2021-02-05 00:48:04.827: INFO @log_variables: train age_mae mean: 7.867895 2021-02-05 00:48:04.827: INFO @log_variables: train gender_accuracy mean: 0.896405 2021-02-05 00:48:04.827: INFO @log_variables: train gender_confidence/loss nanmean: 0.067492 2021-02-05 00:48:04.827: INFO @log_variables: train gender_confidence/accuracy mean: 0.791796 2021-02-05 00:48:04.827: INFO @log_variables: train age_confidence/loss mean: 0.060070 2021-02-05 00:48:04.827: INFO @log_variables: train age_confidence/accuracy mean: 0.666570 2021-02-05 00:48:04.827: INFO @log_variables: valid loss nanmean: 1.188890 2021-02-05 00:48:04.827: INFO @log_variables: valid age_loss mean: 8.844781 2021-02-05 00:48:04.827: INFO @log_variables: valid gender_loss mean: 0.271616 2021-02-05 00:48:04.827: INFO @log_variables: valid age_mae mean: 8.266160 2021-02-05 00:48:04.827: INFO @log_variables: valid gender_accuracy mean: 0.893879 2021-02-05 00:48:04.827: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073835 2021-02-05 00:48:04.827: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841194 2021-02-05 00:48:04.827: INFO @log_variables: valid age_confidence/loss mean: 0.064060 2021-02-05 00:48:04.827: INFO @log_variables: valid age_confidence/accuracy mean: 0.622178 2021-02-05 00:48:04.827: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:48:04.828: INFO @metrics_hook: train age_mae: 7.868 +-0.139 (13823) 2021-02-05 00:48:04.830: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13823) 2021-02-05 00:48:06.259: INFO @metrics_hook: valid age_mae: 8.266 +-0.271 (3986) 2021-02-05 00:48:06.259: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:48:07.500: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:48:07.500: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:48:07.500: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:48:07.500: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:48:07.577: INFO @evaluate_confidence: Previous accuracy would be: 89.64 2021-02-05 00:48:07.578: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:48:07.583: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.26, 94.42, 94.62, 94.79, 94.99, 95.17, 95.27, 95.42, 95.54, 95.69, 95.77, 95.88, 96.06, 96.22, 96.32, 96.45, 96.62, 96.79, 96.94, 97.09, 97.21, 97.39, 97.48, 97.62, 97.74, 97.83, 98.05, 98.07] 2021-02-05 00:48:07.583: INFO @evaluate_confidence: Dropped ratios are: [20.15, 21.22, 22.22, 23.18, 24.23, 25.2, 26.14, 27.15, 28.01, 28.97, 29.89, 30.86, 32.03, 33.06, 34.02, 35.11, 36.16, 37.1, 38.06, 39.14, 40.16, 41.04, 42.02, 42.97, 44.04, 45.03, 46.27, 47.44] 2021-02-05 00:48:07.589: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:48:07.589: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:48:07.589: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:48:07.589: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:48:07.684: INFO @evaluate_confidence: Previous accuracy would be: 48.25 2021-02-05 00:48:07.684: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:48:07.688: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.69, 63.82, 64.99, 66.02, 66.84, 67.86, 68.83, 69.74, 70.59, 71.6, 72.37, 73.23, 74.26, 75.09, 75.68] 2021-02-05 00:48:07.688: INFO @evaluate_confidence: Dropped ratios are: [47.76, 50.21, 52.56, 54.76, 56.7, 58.74, 60.54, 62.37, 63.81, 65.28, 66.79, 68.14, 69.81, 71.07, 72.45] 2021-02-05 00:48:07.690: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:48:07.690: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:48:07.690: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:48:07.690: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:48:07.766: INFO @evaluate_confidence: Previous accuracy would be: 89.39 2021-02-05 00:48:07.766: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:48:07.768: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.18, 94.3, 94.42, 94.67, 94.84, 95.11, 95.18, 95.32, 95.51, 95.66, 95.82, 96.05, 96.2, 96.22, 96.4, 96.65, 96.8, 96.99, 97.1, 97.25, 97.37, 97.37, 97.36, 97.49, 97.57] 2021-02-05 00:48:07.768: INFO @evaluate_confidence: Dropped ratios are: [19.44, 20.37, 21.35, 22.33, 23.23, 24.08, 25.11, 25.97, 26.82, 27.72, 28.5, 29.48, 30.63, 31.56, 32.44, 33.39, 34.12, 34.97, 36.0, 37.03, 37.98, 38.94, 40.17, 40.97, 42.3] 2021-02-05 00:48:07.769: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:48:07.770: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:48:07.770: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:48:07.770: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:48:07.853: INFO @evaluate_confidence: Previous accuracy would be: 46.79 2021-02-05 00:48:07.853: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:48:07.854: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.77, 58.73, 59.43, 60.25, 61.44, 62.13, 63.55, 64.41, 65.33] 2021-02-05 00:48:07.854: INFO @evaluate_confidence: Dropped ratios are: [51.58, 54.47, 57.15, 59.73, 62.39, 64.63, 66.76, 68.56, 70.55] 2021-02-05 00:48:07.863: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:48:08.273: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:48:08.333: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:48:08.609: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:48:08.768: INFO @decay_lr : LR updated to `5.5677014e-05` 2021-02-05 00:48:08.769: INFO @log_profile : T train: 12.825026 2021-02-05 00:48:08.769: INFO @log_profile : T valid: 1.578633 2021-02-05 00:48:08.769: INFO @log_profile : T read data: 0.398496 2021-02-05 00:48:08.769: INFO @log_profile : T hooks: 4.533899 2021-02-05 00:48:08.769: INFO @main_loop : Epoch 336 done 2021-02-05 00:48:08.769: INFO @main_loop : Training epoch 337 2021-02-05 00:48:23.604: INFO @log_variables: train loss nanmean: 1.123211 2021-02-05 00:48:23.604: INFO @log_variables: train age_loss mean: 8.479129 2021-02-05 00:48:23.605: INFO @log_variables: train gender_loss mean: 0.246280 2021-02-05 00:48:23.605: INFO @log_variables: train age_mae mean: 7.926313 2021-02-05 00:48:23.605: INFO @log_variables: train gender_accuracy mean: 0.898655 2021-02-05 00:48:23.605: INFO @log_variables: train gender_confidence/loss nanmean: 0.068003 2021-02-05 00:48:23.605: INFO @log_variables: train gender_confidence/accuracy mean: 0.791739 2021-02-05 00:48:23.605: INFO @log_variables: train age_confidence/loss mean: 0.060487 2021-02-05 00:48:23.605: INFO @log_variables: train age_confidence/accuracy mean: 0.657552 2021-02-05 00:48:23.605: INFO @log_variables: valid loss nanmean: 1.195555 2021-02-05 00:48:23.605: INFO @log_variables: valid age_loss mean: 8.886546 2021-02-05 00:48:23.605: INFO @log_variables: valid gender_loss mean: 0.276846 2021-02-05 00:48:23.605: INFO @log_variables: valid age_mae mean: 8.310635 2021-02-05 00:48:23.605: INFO @log_variables: valid gender_accuracy mean: 0.892624 2021-02-05 00:48:23.605: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073616 2021-02-05 00:48:23.605: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849724 2021-02-05 00:48:23.606: INFO @log_variables: valid age_confidence/loss mean: 0.062393 2021-02-05 00:48:23.606: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-05 00:48:23.606: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:48:23.607: INFO @metrics_hook: train age_mae: 7.926 +-0.142 (13824) 2021-02-05 00:48:23.609: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 00:48:25.036: INFO @metrics_hook: valid age_mae: 8.311 +-0.268 (3986) 2021-02-05 00:48:25.037: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:48:26.385: INFO @decay_lr : LR updated to `5.539863e-05` 2021-02-05 00:48:26.386: INFO @log_profile : T train: 12.350142 2021-02-05 00:48:26.386: INFO @log_profile : T valid: 1.441859 2021-02-05 00:48:26.386: INFO @log_profile : T read data: 0.403956 2021-02-05 00:48:26.386: INFO @log_profile : T hooks: 3.375313 2021-02-05 00:48:26.387: INFO @main_loop : Epoch 337 done 2021-02-05 00:48:26.387: INFO @main_loop : Training epoch 338 2021-02-05 00:48:41.805: INFO @log_variables: train loss nanmean: 1.129943 2021-02-05 00:48:41.805: INFO @log_variables: train age_loss mean: 8.461899 2021-02-05 00:48:41.805: INFO @log_variables: train gender_loss mean: 0.255680 2021-02-05 00:48:41.805: INFO @log_variables: train age_mae mean: 7.909272 2021-02-05 00:48:41.806: INFO @log_variables: train gender_accuracy mean: 0.895415 2021-02-05 00:48:41.806: INFO @log_variables: train gender_confidence/loss nanmean: 0.068017 2021-02-05 00:48:41.806: INFO @log_variables: train gender_confidence/accuracy mean: 0.792424 2021-02-05 00:48:41.806: INFO @log_variables: train age_confidence/loss mean: 0.060226 2021-02-05 00:48:41.806: INFO @log_variables: train age_confidence/accuracy mean: 0.666329 2021-02-05 00:48:41.806: INFO @log_variables: valid loss nanmean: 1.198422 2021-02-05 00:48:41.806: INFO @log_variables: valid age_loss mean: 8.901567 2021-02-05 00:48:41.806: INFO @log_variables: valid gender_loss mean: 0.277187 2021-02-05 00:48:41.806: INFO @log_variables: valid age_mae mean: 8.321540 2021-02-05 00:48:41.806: INFO @log_variables: valid gender_accuracy mean: 0.892875 2021-02-05 00:48:41.806: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073734 2021-02-05 00:48:41.806: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843703 2021-02-05 00:48:41.806: INFO @log_variables: valid age_confidence/loss mean: 0.063467 2021-02-05 00:48:41.806: INFO @log_variables: valid age_confidence/accuracy mean: 0.626944 2021-02-05 00:48:41.806: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:48:41.808: INFO @metrics_hook: train age_mae: 7.909 +-0.140 (13807) 2021-02-05 00:48:41.810: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13807) 2021-02-05 00:48:43.260: INFO @metrics_hook: valid age_mae: 8.322 +-0.272 (3986) 2021-02-05 00:48:43.261: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:48:44.534: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:48:44.534: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:48:44.534: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.18 2021-02-05 00:48:44.534: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:48:44.613: INFO @evaluate_confidence: Previous accuracy would be: 89.54 2021-02-05 00:48:44.613: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:48:44.619: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.3, 94.46, 94.64, 94.74, 94.96, 95.13, 95.33, 95.5, 95.64, 95.78, 96.06, 96.09, 96.17, 96.25, 96.42, 96.59, 96.7, 96.86, 97.02, 97.15, 97.28, 97.43, 97.5, 97.64, 97.72, 97.83, 97.91, 97.99] 2021-02-05 00:48:44.619: INFO @evaluate_confidence: Dropped ratios are: [21.01, 21.92, 22.96, 24.0, 24.91, 25.93, 26.9, 27.88, 28.88, 29.91, 30.88, 31.8, 32.64, 33.53, 34.64, 35.69, 36.76, 37.71, 38.81, 39.75, 40.86, 41.78, 42.74, 43.91, 45.01, 45.96, 46.99, 48.02] 2021-02-05 00:48:44.625: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:48:44.625: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:48:44.625: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:48:44.625: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:48:44.720: INFO @evaluate_confidence: Previous accuracy would be: 47.64 2021-02-05 00:48:44.720: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:48:44.724: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.61, 62.79, 63.88, 65.03, 65.93, 66.87, 68.1, 68.74, 70.18, 71.07, 71.97, 72.63, 73.54, 74.34, 75.2] 2021-02-05 00:48:44.724: INFO @evaluate_confidence: Dropped ratios are: [48.55, 51.14, 53.46, 55.65, 57.57, 59.4, 61.27, 62.84, 64.66, 66.15, 67.7, 68.99, 70.46, 71.78, 72.93] 2021-02-05 00:48:44.726: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:48:44.726: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:48:44.726: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.19 2021-02-05 00:48:44.726: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:48:44.804: INFO @evaluate_confidence: Previous accuracy would be: 89.29 2021-02-05 00:48:44.805: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:48:44.806: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.06, 94.22, 94.35, 94.48, 94.61, 94.82, 95.0, 95.27, 95.43, 95.76, 95.87, 96.07, 96.13, 96.32, 96.42, 96.7, 96.88, 96.98, 97.0, 97.12, 97.09, 97.23, 97.35, 97.64, 97.72] 2021-02-05 00:48:44.806: INFO @evaluate_confidence: Dropped ratios are: [19.72, 20.52, 21.48, 22.3, 23.16, 23.93, 24.76, 25.74, 26.37, 27.3, 28.32, 29.15, 30.03, 31.23, 32.09, 33.07, 34.17, 35.3, 36.4, 37.33, 38.01, 39.24, 40.44, 41.65, 42.77] 2021-02-05 00:48:44.808: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:48:44.808: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:48:44.808: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:48:44.808: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:48:44.896: INFO @evaluate_confidence: Previous accuracy would be: 45.31 2021-02-05 00:48:44.896: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:48:44.897: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.25, 57.29, 58.17, 58.98, 60.24, 61.42, 62.08, 62.53, 63.46, 64.17] 2021-02-05 00:48:44.897: INFO @evaluate_confidence: Dropped ratios are: [50.63, 53.71, 56.52, 59.33, 61.77, 64.3, 66.26, 68.06, 69.99, 71.58] 2021-02-05 00:48:44.907: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:48:45.306: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:48:45.370: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:48:45.695: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:48:45.870: INFO @decay_lr : LR updated to `5.5121636e-05` 2021-02-05 00:48:45.871: INFO @log_profile : T train: 12.658660 2021-02-05 00:48:45.871: INFO @log_profile : T valid: 1.622642 2021-02-05 00:48:45.871: INFO @log_profile : T read data: 0.509482 2021-02-05 00:48:45.871: INFO @log_profile : T hooks: 4.645368 2021-02-05 00:48:45.871: INFO @main_loop : Epoch 338 done 2021-02-05 00:48:45.871: INFO @main_loop : Training epoch 339 2021-02-05 00:49:01.321: INFO @log_variables: train loss nanmean: 1.126250 2021-02-05 00:49:01.322: INFO @log_variables: train age_loss mean: 8.552608 2021-02-05 00:49:01.322: INFO @log_variables: train gender_loss mean: 0.244598 2021-02-05 00:49:01.322: INFO @log_variables: train age_mae mean: 8.000759 2021-02-05 00:49:01.322: INFO @log_variables: train gender_accuracy mean: 0.896701 2021-02-05 00:49:01.322: INFO @log_variables: train gender_confidence/loss nanmean: 0.066647 2021-02-05 00:49:01.322: INFO @log_variables: train gender_confidence/accuracy mean: 0.797454 2021-02-05 00:49:01.322: INFO @log_variables: train age_confidence/loss mean: 0.059732 2021-02-05 00:49:01.322: INFO @log_variables: train age_confidence/accuracy mean: 0.668620 2021-02-05 00:49:01.322: INFO @log_variables: valid loss nanmean: 1.201931 2021-02-05 00:49:01.322: INFO @log_variables: valid age_loss mean: 8.875533 2021-02-05 00:49:01.322: INFO @log_variables: valid gender_loss mean: 0.282374 2021-02-05 00:49:01.322: INFO @log_variables: valid age_mae mean: 8.299720 2021-02-05 00:49:01.322: INFO @log_variables: valid gender_accuracy mean: 0.890115 2021-02-05 00:49:01.322: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075926 2021-02-05 00:49:01.322: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844205 2021-02-05 00:49:01.322: INFO @log_variables: valid age_confidence/loss mean: 0.062435 2021-02-05 00:49:01.322: INFO @log_variables: valid age_confidence/accuracy mean: 0.637230 2021-02-05 00:49:01.322: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:49:01.324: INFO @metrics_hook: train age_mae: 8.001 +-0.140 (13824) 2021-02-05 00:49:01.326: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 00:49:02.732: INFO @metrics_hook: valid age_mae: 8.300 +-0.272 (3986) 2021-02-05 00:49:02.732: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:49:22.494: INFO @decay_lr : LR updated to `5.4846027e-05` 2021-02-05 00:49:22.495: INFO @log_profile : T train: 12.891330 2021-02-05 00:49:22.495: INFO @log_profile : T valid: 1.516732 2021-02-05 00:49:22.495: INFO @log_profile : T read data: 0.403199 2021-02-05 00:49:22.495: INFO @log_profile : T hooks: 21.763552 2021-02-05 00:49:22.495: INFO @main_loop : Epoch 339 done 2021-02-05 00:49:22.495: INFO @main_loop : Training epoch 340 2021-02-05 00:49:38.466: INFO @log_variables: train loss nanmean: 1.128477 2021-02-05 00:49:38.466: INFO @log_variables: train age_loss mean: 8.449075 2021-02-05 00:49:38.466: INFO @log_variables: train gender_loss mean: 0.255068 2021-02-05 00:49:38.466: INFO @log_variables: train age_mae mean: 7.897739 2021-02-05 00:49:38.466: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:49:38.466: INFO @log_variables: train gender_confidence/loss nanmean: 0.068141 2021-02-05 00:49:38.466: INFO @log_variables: train gender_confidence/accuracy mean: 0.794199 2021-02-05 00:49:38.466: INFO @log_variables: train age_confidence/loss mean: 0.060359 2021-02-05 00:49:38.466: INFO @log_variables: train age_confidence/accuracy mean: 0.661458 2021-02-05 00:49:38.466: INFO @log_variables: valid loss nanmean: 1.196599 2021-02-05 00:49:38.466: INFO @log_variables: valid age_loss mean: 8.874181 2021-02-05 00:49:38.466: INFO @log_variables: valid gender_loss mean: 0.279068 2021-02-05 00:49:38.466: INFO @log_variables: valid age_mae mean: 8.297148 2021-02-05 00:49:38.466: INFO @log_variables: valid gender_accuracy mean: 0.890617 2021-02-05 00:49:38.466: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073257 2021-02-05 00:49:38.467: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839689 2021-02-05 00:49:38.467: INFO @log_variables: valid age_confidence/loss mean: 0.062901 2021-02-05 00:49:38.467: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 00:49:38.467: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:49:38.468: INFO @metrics_hook: train age_mae: 7.898 +-0.141 (13824) 2021-02-05 00:49:38.468: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:49:39.872: INFO @metrics_hook: valid age_mae: 8.297 +-0.269 (3986) 2021-02-05 00:49:39.872: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:49:41.124: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:49:41.124: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:49:41.124: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.19 2021-02-05 00:49:41.124: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:49:41.204: INFO @evaluate_confidence: Previous accuracy would be: 89.59 2021-02-05 00:49:41.204: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:49:41.210: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.39, 94.51, 94.72, 94.82, 94.94, 95.08, 95.19, 95.3, 95.49, 95.61, 95.76, 95.87, 96.09, 96.24, 96.36, 96.51, 96.61, 96.73, 96.84, 96.94, 97.02, 97.08, 97.12, 97.32, 97.44, 97.57, 97.79, 97.88] 2021-02-05 00:49:41.210: INFO @evaluate_confidence: Dropped ratios are: [20.92, 21.8, 22.84, 23.82, 24.77, 25.66, 26.7, 27.65, 28.65, 29.72, 30.79, 31.68, 32.61, 33.55, 34.62, 35.67, 36.63, 37.82, 38.86, 39.86, 40.93, 41.98, 43.0, 44.11, 45.14, 46.17, 47.34, 48.36] 2021-02-05 00:49:41.216: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:49:41.216: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:49:41.216: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:49:41.216: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:49:41.313: INFO @evaluate_confidence: Previous accuracy would be: 48.52 2021-02-05 00:49:41.313: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:49:41.317: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.39, 63.57, 64.5, 65.54, 66.76, 67.75, 68.86, 69.76, 70.49, 71.64, 72.4, 73.23, 74.1, 75.18, 76.0] 2021-02-05 00:49:41.317: INFO @evaluate_confidence: Dropped ratios are: [47.57, 50.1, 52.42, 54.91, 57.21, 59.15, 61.04, 62.78, 64.21, 65.74, 67.32, 68.68, 69.91, 71.23, 72.51] 2021-02-05 00:49:41.319: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:49:41.319: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:49:41.319: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:49:41.319: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.22 2021-02-05 00:49:41.391: INFO @evaluate_confidence: Previous accuracy would be: 89.06 2021-02-05 00:49:41.391: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:49:41.393: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.9, 94.03, 94.37, 94.43, 94.54, 94.85, 94.96, 95.26, 95.48, 95.52, 95.68, 95.74, 95.87, 96.0, 96.12, 96.36, 96.53, 96.59, 96.65, 96.75, 96.87, 97.1, 97.13, 97.37, 97.5] 2021-02-05 00:49:41.393: INFO @evaluate_confidence: Dropped ratios are: [19.74, 20.62, 21.6, 22.1, 22.85, 23.93, 24.84, 25.97, 26.74, 27.7, 28.58, 29.3, 30.18, 31.01, 32.06, 33.14, 34.19, 35.35, 36.43, 37.48, 38.26, 39.36, 40.52, 41.75, 42.82] 2021-02-05 00:49:41.395: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:49:41.395: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:49:41.395: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:49:41.395: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:49:41.481: INFO @evaluate_confidence: Previous accuracy would be: 45.38 2021-02-05 00:49:41.481: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:49:41.482: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.96, 57.22, 58.22, 59.56, 60.61, 61.6, 62.72, 63.87, 64.18] 2021-02-05 00:49:41.482: INFO @evaluate_confidence: Dropped ratios are: [52.83, 56.2, 58.63, 61.54, 63.82, 66.36, 68.44, 70.15, 71.7] 2021-02-05 00:49:41.492: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:49:41.878: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:49:41.939: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:49:42.217: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:49:42.278: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:49:42.661: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:49:42.720: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:49:42.720: INFO @evaluate_gender-age_model: groups 0 4.939597 1 8.298378 2 8.581540 3 8.088159 4 8.582001 5 9.155275 6 8.552911 7 6.747341 Name: errors, dtype: float64 2021-02-05 00:49:42.721: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:49:43.012: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:49:43.073: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:49:43.074: INFO @evaluate_gender-age_model: groups 0 5.924763 1 7.827523 2 7.919017 3 7.607708 4 8.983171 5 9.412284 6 9.422364 7 7.665173 Name: errors, dtype: float64 2021-02-05 00:49:43.177: INFO @decay_lr : LR updated to `5.4571796e-05` 2021-02-05 00:49:43.178: INFO @log_profile : T train: 12.809102 2021-02-05 00:49:43.179: INFO @log_profile : T valid: 1.569951 2021-02-05 00:49:43.179: INFO @log_profile : T read data: 0.400386 2021-02-05 00:49:43.179: INFO @log_profile : T hooks: 5.856481 2021-02-05 00:49:43.179: INFO @main_loop : Epoch 340 done 2021-02-05 00:49:43.179: INFO @main_loop : Training epoch 341 2021-02-05 00:49:58.831: INFO @log_variables: train loss nanmean: 1.119482 2021-02-05 00:49:58.831: INFO @log_variables: train age_loss mean: 8.452162 2021-02-05 00:49:58.833: INFO @log_variables: train gender_loss mean: 0.246506 2021-02-05 00:49:58.833: INFO @log_variables: train age_mae mean: 7.901945 2021-02-05 00:49:58.833: INFO @log_variables: train gender_accuracy mean: 0.896936 2021-02-05 00:49:58.833: INFO @log_variables: train gender_confidence/loss nanmean: 0.067241 2021-02-05 00:49:58.833: INFO @log_variables: train gender_confidence/accuracy mean: 0.793655 2021-02-05 00:49:58.833: INFO @log_variables: train age_confidence/loss mean: 0.059766 2021-02-05 00:49:58.833: INFO @log_variables: train age_confidence/accuracy mean: 0.666618 2021-02-05 00:49:58.834: INFO @log_variables: valid loss nanmean: 1.203216 2021-02-05 00:49:58.834: INFO @log_variables: valid age_loss mean: 8.916128 2021-02-05 00:49:58.834: INFO @log_variables: valid gender_loss mean: 0.280938 2021-02-05 00:49:58.834: INFO @log_variables: valid age_mae mean: 8.340055 2021-02-05 00:49:58.834: INFO @log_variables: valid gender_accuracy mean: 0.889865 2021-02-05 00:49:58.834: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074475 2021-02-05 00:49:58.834: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847717 2021-02-05 00:49:58.834: INFO @log_variables: valid age_confidence/loss mean: 0.062785 2021-02-05 00:49:58.834: INFO @log_variables: valid age_confidence/accuracy mean: 0.636227 2021-02-05 00:49:58.834: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:49:58.835: INFO @metrics_hook: train age_mae: 7.902 +-0.138 (13807) 2021-02-05 00:49:58.836: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13807) 2021-02-05 00:50:00.261: INFO @metrics_hook: valid age_mae: 8.340 +-0.269 (3986) 2021-02-05 00:50:00.262: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:50:01.610: INFO @decay_lr : LR updated to `5.4298936e-05` 2021-02-05 00:50:01.611: INFO @log_profile : T train: 12.938555 2021-02-05 00:50:01.611: INFO @log_profile : T valid: 1.574702 2021-02-05 00:50:01.611: INFO @log_profile : T read data: 0.512407 2021-02-05 00:50:01.611: INFO @log_profile : T hooks: 3.358979 2021-02-05 00:50:01.611: INFO @main_loop : Epoch 341 done 2021-02-05 00:50:01.611: INFO @main_loop : Training epoch 342 2021-02-05 00:50:17.126: INFO @log_variables: train loss nanmean: 1.153875 2021-02-05 00:50:17.126: INFO @log_variables: train age_loss mean: 8.750311 2021-02-05 00:50:17.126: INFO @log_variables: train gender_loss mean: 0.252585 2021-02-05 00:50:17.126: INFO @log_variables: train age_mae mean: 8.187107 2021-02-05 00:50:17.126: INFO @log_variables: train gender_accuracy mean: 0.898148 2021-02-05 00:50:17.126: INFO @log_variables: train gender_confidence/loss nanmean: 0.069207 2021-02-05 00:50:17.126: INFO @log_variables: train gender_confidence/accuracy mean: 0.790148 2021-02-05 00:50:17.126: INFO @log_variables: train age_confidence/loss mean: 0.059563 2021-02-05 00:50:17.126: INFO @log_variables: train age_confidence/accuracy mean: 0.664497 2021-02-05 00:50:17.126: INFO @log_variables: valid loss nanmean: 1.199518 2021-02-05 00:50:17.126: INFO @log_variables: valid age_loss mean: 8.870514 2021-02-05 00:50:17.126: INFO @log_variables: valid gender_loss mean: 0.280902 2021-02-05 00:50:17.126: INFO @log_variables: valid age_mae mean: 8.291812 2021-02-05 00:50:17.126: INFO @log_variables: valid gender_accuracy mean: 0.892122 2021-02-05 00:50:17.127: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075076 2021-02-05 00:50:17.127: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841947 2021-02-05 00:50:17.127: INFO @log_variables: valid age_confidence/loss mean: 0.062666 2021-02-05 00:50:17.127: INFO @log_variables: valid age_confidence/accuracy mean: 0.635725 2021-02-05 00:50:17.127: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:50:17.128: INFO @metrics_hook: train age_mae: 8.187 +-0.144 (13824) 2021-02-05 00:50:17.130: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13824) 2021-02-05 00:50:18.537: INFO @metrics_hook: valid age_mae: 8.292 +-0.269 (3986) 2021-02-05 00:50:18.538: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:50:19.767: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:50:19.767: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:50:19.767: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.19 2021-02-05 00:50:19.767: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:50:19.843: INFO @evaluate_confidence: Previous accuracy would be: 89.81 2021-02-05 00:50:19.843: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:50:19.849: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.51, 94.66, 94.81, 94.88, 94.98, 95.18, 95.29, 95.48, 95.69, 95.87, 96.01, 96.13, 96.3, 96.43, 96.47, 96.66, 96.8, 96.92, 97.02, 97.12, 97.15, 97.29, 97.46, 97.66, 97.71, 97.78, 97.9, 97.96] 2021-02-05 00:50:19.849: INFO @evaluate_confidence: Dropped ratios are: [21.3, 22.22, 23.2, 23.99, 24.86, 25.72, 26.61, 27.52, 28.6, 29.55, 30.43, 31.36, 32.4, 33.51, 34.55, 35.55, 36.49, 37.5, 38.5, 39.51, 40.52, 41.59, 42.73, 43.73, 44.82, 45.87, 47.06, 48.18] 2021-02-05 00:50:19.855: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:50:19.855: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.55 +- 0.21 2021-02-05 00:50:19.855: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:50:19.855: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:50:19.966: INFO @evaluate_confidence: Previous accuracy would be: 46.61 2021-02-05 00:50:19.966: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55] 2021-02-05 00:50:19.970: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [59.81, 61.16, 62.13, 63.12, 64.27, 65.12, 66.12, 67.23, 68.38, 69.6, 70.56, 71.4, 72.28, 73.54, 74.58] 2021-02-05 00:50:19.970: INFO @evaluate_confidence: Dropped ratios are: [47.39, 50.43, 52.74, 55.2, 57.57, 59.41, 61.31, 63.27, 65.0, 66.68, 68.16, 69.65, 70.86, 72.19, 73.42] 2021-02-05 00:50:19.972: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:50:19.972: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:50:19.972: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:50:19.972: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:50:20.046: INFO @evaluate_confidence: Previous accuracy would be: 89.21 2021-02-05 00:50:20.046: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:50:20.048: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.14, 94.23, 94.53, 94.68, 94.82, 95.03, 95.23, 95.37, 95.48, 95.6, 95.82, 95.96, 96.09, 96.29, 96.45, 96.51, 96.56, 96.7, 96.76, 97.0, 97.11, 97.22, 97.34, 97.45, 97.53] 2021-02-05 00:50:20.048: INFO @evaluate_confidence: Dropped ratios are: [19.54, 20.45, 21.6, 22.23, 23.06, 23.81, 24.74, 25.84, 26.69, 27.65, 28.52, 29.25, 29.98, 30.98, 32.09, 33.19, 34.3, 35.42, 36.43, 37.18, 38.41, 39.44, 40.54, 41.92, 43.15] 2021-02-05 00:50:20.049: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:50:20.049: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.18 2021-02-05 00:50:20.050: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:50:20.050: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:50:20.136: INFO @evaluate_confidence: Previous accuracy would be: 44.98 2021-02-05 00:50:20.136: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:50:20.137: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.71, 57.07, 58.22, 58.88, 60.25, 61.5, 62.25, 62.89, 64.1, 65.63] 2021-02-05 00:50:20.137: INFO @evaluate_confidence: Dropped ratios are: [49.52, 52.96, 55.92, 58.63, 61.44, 63.9, 65.91, 67.89, 69.67, 71.68] 2021-02-05 00:50:20.148: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:50:20.534: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:50:20.592: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:50:20.872: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:50:21.041: INFO @decay_lr : LR updated to `5.402744e-05` 2021-02-05 00:50:21.042: INFO @log_profile : T train: 12.858649 2021-02-05 00:50:21.042: INFO @log_profile : T valid: 1.615340 2021-02-05 00:50:21.042: INFO @log_profile : T read data: 0.396064 2021-02-05 00:50:21.042: INFO @log_profile : T hooks: 4.512378 2021-02-05 00:50:21.042: INFO @main_loop : Epoch 342 done 2021-02-05 00:50:21.042: INFO @main_loop : Training epoch 343 2021-02-05 00:50:36.563: INFO @log_variables: train loss nanmean: 1.127353 2021-02-05 00:50:36.564: INFO @log_variables: train age_loss mean: 8.551255 2021-02-05 00:50:36.564: INFO @log_variables: train gender_loss mean: 0.244700 2021-02-05 00:50:36.564: INFO @log_variables: train age_mae mean: 7.996757 2021-02-05 00:50:36.564: INFO @log_variables: train gender_accuracy mean: 0.901620 2021-02-05 00:50:36.564: INFO @log_variables: train gender_confidence/loss nanmean: 0.067415 2021-02-05 00:50:36.564: INFO @log_variables: train gender_confidence/accuracy mean: 0.794850 2021-02-05 00:50:36.564: INFO @log_variables: train age_confidence/loss mean: 0.060096 2021-02-05 00:50:36.564: INFO @log_variables: train age_confidence/accuracy mean: 0.664135 2021-02-05 00:50:36.564: INFO @log_variables: valid loss nanmean: 1.192195 2021-02-05 00:50:36.564: INFO @log_variables: valid age_loss mean: 8.859167 2021-02-05 00:50:36.564: INFO @log_variables: valid gender_loss mean: 0.274557 2021-02-05 00:50:36.564: INFO @log_variables: valid age_mae mean: 8.277258 2021-02-05 00:50:36.564: INFO @log_variables: valid gender_accuracy mean: 0.896136 2021-02-05 00:50:36.564: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074484 2021-02-05 00:50:36.564: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840442 2021-02-05 00:50:36.564: INFO @log_variables: valid age_confidence/loss mean: 0.062735 2021-02-05 00:50:36.565: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-05 00:50:36.565: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:50:36.566: INFO @metrics_hook: train age_mae: 7.997 +-0.142 (13824) 2021-02-05 00:50:36.568: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 00:50:37.989: INFO @metrics_hook: valid age_mae: 8.277 +-0.267 (3986) 2021-02-05 00:50:37.990: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 00:50:39.334: INFO @decay_lr : LR updated to `5.3757303e-05` 2021-02-05 00:50:39.335: INFO @log_profile : T train: 12.884332 2021-02-05 00:50:39.335: INFO @log_profile : T valid: 1.592157 2021-02-05 00:50:39.335: INFO @log_profile : T read data: 0.399629 2021-02-05 00:50:39.335: INFO @log_profile : T hooks: 3.369126 2021-02-05 00:50:39.336: INFO @main_loop : Epoch 343 done 2021-02-05 00:50:39.336: INFO @main_loop : Training epoch 344 2021-02-05 00:50:54.954: INFO @log_variables: train loss nanmean: 1.120089 2021-02-05 00:50:54.954: INFO @log_variables: train age_loss mean: 8.483482 2021-02-05 00:50:54.954: INFO @log_variables: train gender_loss mean: 0.244707 2021-02-05 00:50:54.954: INFO @log_variables: train age_mae mean: 7.930970 2021-02-05 00:50:54.954: INFO @log_variables: train gender_accuracy mean: 0.898602 2021-02-05 00:50:54.954: INFO @log_variables: train gender_confidence/loss nanmean: 0.066564 2021-02-05 00:50:54.954: INFO @log_variables: train gender_confidence/accuracy mean: 0.796190 2021-02-05 00:50:54.954: INFO @log_variables: train age_confidence/loss mean: 0.059839 2021-02-05 00:50:54.954: INFO @log_variables: train age_confidence/accuracy mean: 0.667125 2021-02-05 00:50:54.954: INFO @log_variables: valid loss nanmean: 1.193808 2021-02-05 00:50:54.954: INFO @log_variables: valid age_loss mean: 8.865775 2021-02-05 00:50:54.954: INFO @log_variables: valid gender_loss mean: 0.276542 2021-02-05 00:50:54.954: INFO @log_variables: valid age_mae mean: 8.285385 2021-02-05 00:50:54.955: INFO @log_variables: valid gender_accuracy mean: 0.892624 2021-02-05 00:50:54.955: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073560 2021-02-05 00:50:54.955: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846964 2021-02-05 00:50:54.955: INFO @log_variables: valid age_confidence/loss mean: 0.062867 2021-02-05 00:50:54.955: INFO @log_variables: valid age_confidence/accuracy mean: 0.638485 2021-02-05 00:50:54.955: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:50:54.956: INFO @metrics_hook: train age_mae: 7.931 +-0.140 (13807) 2021-02-05 00:50:54.958: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13807) 2021-02-05 00:50:56.338: INFO @metrics_hook: valid age_mae: 8.285 +-0.267 (3986) 2021-02-05 00:50:56.339: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:50:57.556: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:50:57.556: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:50:57.556: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:50:57.556: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:50:57.632: INFO @evaluate_confidence: Previous accuracy would be: 89.86 2021-02-05 00:50:57.632: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:50:57.638: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.51, 94.69, 94.77, 94.91, 95.14, 95.22, 95.43, 95.5, 95.67, 95.85, 96.06, 96.23, 96.42, 96.51, 96.67, 96.8, 96.94, 97.04, 97.15, 97.33, 97.42, 97.56, 97.68, 97.78, 97.89, 97.98, 98.06, 98.23, 98.26] 2021-02-05 00:50:57.638: INFO @evaluate_confidence: Dropped ratios are: [20.03, 20.94, 21.76, 22.64, 23.59, 24.56, 25.58, 26.47, 27.45, 28.39, 29.28, 30.27, 31.32, 32.21, 33.24, 34.27, 35.38, 36.23, 37.17, 38.18, 39.18, 40.13, 41.04, 42.16, 43.12, 44.18, 45.37, 46.45, 47.42] 2021-02-05 00:50:57.644: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:50:57.644: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:50:57.644: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:50:57.644: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.19 2021-02-05 00:50:57.734: INFO @evaluate_confidence: Previous accuracy would be: 47.66 2021-02-05 00:50:57.735: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:50:57.739: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.2, 62.42, 63.71, 64.77, 65.84, 66.67, 67.87, 69.12, 69.82, 70.84, 71.54, 72.33, 73.18, 74.29, 74.96, 75.68] 2021-02-05 00:50:57.739: INFO @evaluate_confidence: Dropped ratios are: [46.83, 49.54, 52.0, 54.26, 56.44, 58.39, 60.46, 62.34, 63.9, 65.5, 66.78, 68.01, 69.4, 70.78, 72.09, 73.19] 2021-02-05 00:50:57.740: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:50:57.740: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:50:57.741: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:50:57.741: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:50:57.814: INFO @evaluate_confidence: Previous accuracy would be: 89.26 2021-02-05 00:50:57.815: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:50:57.816: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.05, 94.08, 94.19, 94.27, 94.59, 94.72, 94.94, 95.12, 95.36, 95.42, 95.42, 95.58, 95.71, 95.84, 96.22, 96.32, 96.48, 96.64, 96.68, 96.9, 96.89, 97.05, 97.25, 97.28, 97.39] 2021-02-05 00:50:57.816: INFO @evaluate_confidence: Dropped ratios are: [18.67, 19.42, 20.5, 21.58, 22.5, 23.51, 24.59, 25.39, 26.39, 27.22, 28.17, 29.05, 29.75, 30.71, 31.56, 32.59, 33.69, 35.0, 35.78, 36.8, 37.83, 38.69, 39.84, 41.07, 42.3] 2021-02-05 00:50:57.818: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:50:57.818: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:50:57.818: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:50:57.818: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:50:57.903: INFO @evaluate_confidence: Previous accuracy would be: 45.28 2021-02-05 00:50:57.903: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:50:57.904: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.16, 58.17, 59.09, 60.0, 61.21, 62.41, 63.5, 64.6, 65.39, 66.18] 2021-02-05 00:50:57.904: INFO @evaluate_confidence: Dropped ratios are: [52.33, 54.84, 57.75, 60.36, 62.95, 65.23, 67.01, 68.82, 70.5, 72.25] 2021-02-05 00:50:57.913: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:50:58.297: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:50:58.362: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:50:58.647: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:50:58.820: INFO @decay_lr : LR updated to `5.348852e-05` 2021-02-05 00:50:58.821: INFO @log_profile : T train: 12.914394 2021-02-05 00:50:58.821: INFO @log_profile : T valid: 1.556979 2021-02-05 00:50:58.821: INFO @log_profile : T read data: 0.501487 2021-02-05 00:50:58.821: INFO @log_profile : T hooks: 4.463601 2021-02-05 00:50:58.821: INFO @main_loop : Epoch 344 done 2021-02-05 00:50:58.821: INFO @main_loop : Training epoch 345 2021-02-05 00:51:14.346: INFO @log_variables: train loss nanmean: 1.128611 2021-02-05 00:51:14.346: INFO @log_variables: train age_loss mean: 8.499088 2021-02-05 00:51:14.346: INFO @log_variables: train gender_loss mean: 0.250729 2021-02-05 00:51:14.346: INFO @log_variables: train age_mae mean: 7.947480 2021-02-05 00:51:14.346: INFO @log_variables: train gender_accuracy mean: 0.896195 2021-02-05 00:51:14.346: INFO @log_variables: train gender_confidence/loss nanmean: 0.067702 2021-02-05 00:51:14.346: INFO @log_variables: train gender_confidence/accuracy mean: 0.794777 2021-02-05 00:51:14.346: INFO @log_variables: train age_confidence/loss mean: 0.060330 2021-02-05 00:51:14.346: INFO @log_variables: train age_confidence/accuracy mean: 0.660807 2021-02-05 00:51:14.346: INFO @log_variables: valid loss nanmean: 1.182862 2021-02-05 00:51:14.347: INFO @log_variables: valid age_loss mean: 8.755376 2021-02-05 00:51:14.347: INFO @log_variables: valid gender_loss mean: 0.274322 2021-02-05 00:51:14.347: INFO @log_variables: valid age_mae mean: 8.179605 2021-02-05 00:51:14.347: INFO @log_variables: valid gender_accuracy mean: 0.895133 2021-02-05 00:51:14.347: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075582 2021-02-05 00:51:14.347: INFO @log_variables: valid gender_confidence/accuracy mean: 0.838936 2021-02-05 00:51:14.347: INFO @log_variables: valid age_confidence/loss mean: 0.061954 2021-02-05 00:51:14.347: INFO @log_variables: valid age_confidence/accuracy mean: 0.640993 2021-02-05 00:51:14.347: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:51:14.349: INFO @metrics_hook: train age_mae: 7.947 +-0.141 (13824) 2021-02-05 00:51:14.350: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:51:15.739: INFO @metrics_hook: valid age_mae: 8.180 +-0.261 (3986) 2021-02-05 00:51:15.739: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 00:51:17.174: INFO @decay_lr : LR updated to `5.3221076e-05` 2021-02-05 00:51:17.175: INFO @log_profile : T train: 12.953521 2021-02-05 00:51:17.175: INFO @log_profile : T valid: 1.528024 2021-02-05 00:51:17.175: INFO @log_profile : T read data: 0.397799 2021-02-05 00:51:17.175: INFO @log_profile : T hooks: 3.425658 2021-02-05 00:51:17.175: INFO @main_loop : Epoch 345 done 2021-02-05 00:51:17.175: INFO @main_loop : Training epoch 346 2021-02-05 00:51:32.833: INFO @log_variables: train loss nanmean: 1.117299 2021-02-05 00:51:32.833: INFO @log_variables: train age_loss mean: 8.482197 2021-02-05 00:51:32.833: INFO @log_variables: train gender_loss mean: 0.242944 2021-02-05 00:51:32.833: INFO @log_variables: train age_mae mean: 7.929441 2021-02-05 00:51:32.833: INFO @log_variables: train gender_accuracy mean: 0.899884 2021-02-05 00:51:32.833: INFO @log_variables: train gender_confidence/loss nanmean: 0.066124 2021-02-05 00:51:32.833: INFO @log_variables: train gender_confidence/accuracy mean: 0.801215 2021-02-05 00:51:32.833: INFO @log_variables: train age_confidence/loss mean: 0.059209 2021-02-05 00:51:32.833: INFO @log_variables: train age_confidence/accuracy mean: 0.672526 2021-02-05 00:51:32.833: INFO @log_variables: valid loss nanmean: 1.189945 2021-02-05 00:51:32.833: INFO @log_variables: valid age_loss mean: 8.856119 2021-02-05 00:51:32.833: INFO @log_variables: valid gender_loss mean: 0.274499 2021-02-05 00:51:32.833: INFO @log_variables: valid age_mae mean: 8.279527 2021-02-05 00:51:32.834: INFO @log_variables: valid gender_accuracy mean: 0.893377 2021-02-05 00:51:32.834: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073325 2021-02-05 00:51:32.834: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848219 2021-02-05 00:51:32.834: INFO @log_variables: valid age_confidence/loss mean: 0.061973 2021-02-05 00:51:32.834: INFO @log_variables: valid age_confidence/accuracy mean: 0.638736 2021-02-05 00:51:32.834: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:51:32.835: INFO @metrics_hook: train age_mae: 7.929 +-0.140 (13824) 2021-02-05 00:51:32.837: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13824) 2021-02-05 00:51:34.211: INFO @metrics_hook: valid age_mae: 8.280 +-0.268 (3986) 2021-02-05 00:51:34.212: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:51:35.432: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:51:35.432: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:51:35.432: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:51:35.432: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.23 2021-02-05 00:51:35.508: INFO @evaluate_confidence: Previous accuracy would be: 89.99 2021-02-05 00:51:35.509: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:51:35.514: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.56, 94.72, 94.91, 95.15, 95.27, 95.46, 95.69, 95.83, 96.02, 96.15, 96.31, 96.42, 96.52, 96.65, 96.81, 96.93, 97.02, 97.13, 97.24, 97.34, 97.42, 97.57, 97.63, 97.72, 97.74, 97.84, 97.89, 97.99, 98.02] 2021-02-05 00:51:35.514: INFO @evaluate_confidence: Dropped ratios are: [19.46, 20.36, 21.23, 22.35, 23.36, 24.16, 25.2, 26.14, 27.17, 28.07, 29.19, 30.11, 31.19, 32.24, 33.07, 33.99, 35.12, 36.28, 37.38, 38.38, 39.24, 40.29, 41.29, 42.25, 43.35, 44.48, 45.71, 46.77, 47.76] 2021-02-05 00:51:35.520: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:51:35.520: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:51:35.520: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:51:35.520: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:51:35.613: INFO @evaluate_confidence: Previous accuracy would be: 47.66 2021-02-05 00:51:35.613: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:51:35.617: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.52, 63.49, 64.4, 65.5, 66.73, 67.65, 68.89, 69.59, 71.01, 72.2, 72.9, 73.8, 74.7, 75.57, 76.48, 77.21] 2021-02-05 00:51:35.617: INFO @evaluate_confidence: Dropped ratios are: [48.56, 50.82, 53.05, 55.14, 57.18, 59.1, 61.19, 62.85, 64.5, 66.02, 67.43, 68.91, 70.18, 71.57, 72.75, 73.81] 2021-02-05 00:51:35.619: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:51:35.619: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:51:35.619: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:51:35.619: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:51:35.691: INFO @evaluate_confidence: Previous accuracy would be: 89.34 2021-02-05 00:51:35.691: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:51:35.693: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.96, 94.05, 94.17, 94.32, 94.37, 94.53, 94.67, 94.9, 94.97, 95.15, 95.44, 95.69, 95.88, 96.08, 96.05, 96.22, 96.32, 96.5, 96.79, 96.78, 96.85, 97.08, 97.27, 97.26, 97.37] 2021-02-05 00:51:35.693: INFO @evaluate_confidence: Dropped ratios are: [19.42, 20.35, 21.2, 21.83, 22.43, 23.41, 24.16, 25.21, 26.12, 27.09, 27.97, 28.95, 29.95, 30.93, 31.99, 32.99, 33.87, 34.85, 35.98, 36.88, 37.81, 38.94, 40.22, 41.29, 42.75] 2021-02-05 00:51:35.695: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:51:35.695: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:51:35.695: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:51:35.695: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.17 2021-02-05 00:51:35.778: INFO @evaluate_confidence: Previous accuracy would be: 44.73 2021-02-05 00:51:35.778: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:51:35.779: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.65, 57.54, 58.39, 59.8, 60.75, 61.78, 62.92, 63.83, 64.47, 65.14, 66.07] 2021-02-05 00:51:35.779: INFO @evaluate_confidence: Dropped ratios are: [50.18, 53.44, 56.95, 59.56, 62.09, 64.55, 66.78, 68.16, 70.27, 72.0, 73.46] 2021-02-05 00:51:35.788: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:51:36.165: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:51:36.224: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:51:36.520: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:51:36.682: INFO @decay_lr : LR updated to `5.2954972e-05` 2021-02-05 00:51:36.683: INFO @log_profile : T train: 12.993651 2021-02-05 00:51:36.683: INFO @log_profile : T valid: 1.604386 2021-02-05 00:51:36.683: INFO @log_profile : T read data: 0.400987 2021-02-05 00:51:36.683: INFO @log_profile : T hooks: 4.458509 2021-02-05 00:51:36.683: INFO @main_loop : Epoch 346 done 2021-02-05 00:51:36.683: INFO @main_loop : Training epoch 347 2021-02-05 00:51:52.204: INFO @log_variables: train loss nanmean: 1.108861 2021-02-05 00:51:52.204: INFO @log_variables: train age_loss mean: 8.414105 2021-02-05 00:51:52.204: INFO @log_variables: train gender_loss mean: 0.239173 2021-02-05 00:51:52.204: INFO @log_variables: train age_mae mean: 7.861232 2021-02-05 00:51:52.204: INFO @log_variables: train gender_accuracy mean: 0.900340 2021-02-05 00:51:52.204: INFO @log_variables: train gender_confidence/loss nanmean: 0.066178 2021-02-05 00:51:52.204: INFO @log_variables: train gender_confidence/accuracy mean: 0.802274 2021-02-05 00:51:52.204: INFO @log_variables: train age_confidence/loss mean: 0.060335 2021-02-05 00:51:52.204: INFO @log_variables: train age_confidence/accuracy mean: 0.661911 2021-02-05 00:51:52.204: INFO @log_variables: valid loss nanmean: 1.192572 2021-02-05 00:51:52.204: INFO @log_variables: valid age_loss mean: 8.867319 2021-02-05 00:51:52.204: INFO @log_variables: valid gender_loss mean: 0.276170 2021-02-05 00:51:52.204: INFO @log_variables: valid age_mae mean: 8.288801 2021-02-05 00:51:52.205: INFO @log_variables: valid gender_accuracy mean: 0.894882 2021-02-05 00:51:52.205: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072802 2021-02-05 00:51:52.205: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844706 2021-02-05 00:51:52.205: INFO @log_variables: valid age_confidence/loss mean: 0.062586 2021-02-05 00:51:52.205: INFO @log_variables: valid age_confidence/accuracy mean: 0.634722 2021-02-05 00:51:52.205: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:51:52.206: INFO @metrics_hook: train age_mae: 7.861 +-0.138 (13807) 2021-02-05 00:51:52.208: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13807) 2021-02-05 00:51:53.575: INFO @metrics_hook: valid age_mae: 8.289 +-0.268 (3986) 2021-02-05 00:51:53.575: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 00:51:54.890: INFO @decay_lr : LR updated to `5.2690197e-05` 2021-02-05 00:51:54.891: INFO @log_profile : T train: 12.845132 2021-02-05 00:51:54.891: INFO @log_profile : T valid: 1.563401 2021-02-05 00:51:54.891: INFO @log_profile : T read data: 0.498308 2021-02-05 00:51:54.891: INFO @log_profile : T hooks: 3.253945 2021-02-05 00:51:54.891: INFO @main_loop : Epoch 347 done 2021-02-05 00:51:54.891: INFO @main_loop : Training epoch 348 2021-02-05 00:52:09.988: INFO @log_variables: train loss nanmean: 1.116800 2021-02-05 00:52:09.988: INFO @log_variables: train age_loss mean: 8.394199 2021-02-05 00:52:09.988: INFO @log_variables: train gender_loss mean: 0.249854 2021-02-05 00:52:09.988: INFO @log_variables: train age_mae mean: 7.844696 2021-02-05 00:52:09.988: INFO @log_variables: train gender_accuracy mean: 0.893157 2021-02-05 00:52:09.988: INFO @log_variables: train gender_confidence/loss nanmean: 0.066034 2021-02-05 00:52:09.988: INFO @log_variables: train gender_confidence/accuracy mean: 0.799841 2021-02-05 00:52:09.988: INFO @log_variables: train age_confidence/loss mean: 0.060516 2021-02-05 00:52:09.988: INFO @log_variables: train age_confidence/accuracy mean: 0.658926 2021-02-05 00:52:09.988: INFO @log_variables: valid loss nanmean: 1.176510 2021-02-05 00:52:09.989: INFO @log_variables: valid age_loss mean: 8.696143 2021-02-05 00:52:09.989: INFO @log_variables: valid gender_loss mean: 0.273495 2021-02-05 00:52:09.989: INFO @log_variables: valid age_mae mean: 8.124826 2021-02-05 00:52:09.989: INFO @log_variables: valid gender_accuracy mean: 0.897893 2021-02-05 00:52:09.989: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073440 2021-02-05 00:52:09.989: INFO @log_variables: valid gender_confidence/accuracy mean: 0.845710 2021-02-05 00:52:09.989: INFO @log_variables: valid age_confidence/loss mean: 0.063879 2021-02-05 00:52:09.989: INFO @log_variables: valid age_confidence/accuracy mean: 0.617160 2021-02-05 00:52:09.989: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:52:09.991: INFO @metrics_hook: train age_mae: 7.845 +-0.138 (13824) 2021-02-05 00:52:09.992: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13824) 2021-02-05 00:52:11.405: INFO @metrics_hook: valid age_mae: 8.125 +-0.262 (3986) 2021-02-05 00:52:11.405: INFO @metrics_hook: valid gender_accuracy: 0.898 +-0.010 (3986) 2021-02-05 00:52:12.622: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:52:12.623: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:52:12.623: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:52:12.623: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:52:12.697: INFO @evaluate_confidence: Previous accuracy would be: 89.32 2021-02-05 00:52:12.698: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:52:12.703: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.37, 94.59, 94.71, 94.89, 95.04, 95.21, 95.36, 95.57, 95.67, 95.9, 96.04, 96.15, 96.23, 96.36, 96.57, 96.68, 96.81, 96.98, 97.06, 97.15, 97.24, 97.34, 97.48, 97.63, 97.79, 97.87, 98.04, 98.14, 98.23] 2021-02-05 00:52:12.703: INFO @evaluate_confidence: Dropped ratios are: [20.02, 20.94, 21.85, 22.82, 23.88, 24.85, 25.9, 26.82, 27.65, 28.75, 29.65, 30.41, 31.42, 32.45, 33.45, 34.41, 35.55, 36.36, 37.32, 38.24, 39.11, 40.14, 41.23, 42.27, 43.37, 44.38, 45.37, 46.61, 47.82] 2021-02-05 00:52:12.709: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:52:12.709: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:52:12.709: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:52:12.709: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:52:12.801: INFO @evaluate_confidence: Previous accuracy would be: 48.65 2021-02-05 00:52:12.801: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:52:12.805: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.85, 63.56, 64.52, 65.59, 66.21, 67.32, 68.2, 69.13, 70.21, 71.59, 72.37, 73.31, 74.26, 75.21, 76.09, 76.85] 2021-02-05 00:52:12.805: INFO @evaluate_confidence: Dropped ratios are: [47.32, 49.92, 52.37, 54.51, 56.57, 58.49, 60.55, 62.32, 64.01, 65.75, 67.17, 68.59, 69.96, 71.23, 72.5, 73.63] 2021-02-05 00:52:12.807: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:52:12.807: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:52:12.807: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:52:12.807: INFO @evaluate_confidence: Average confidence of all samples 0.78 +- 0.21 2021-02-05 00:52:12.877: INFO @evaluate_confidence: Previous accuracy would be: 89.79 2021-02-05 00:52:12.878: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:52:12.879: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.26, 94.36, 94.42, 94.66, 94.7, 94.89, 95.06, 95.23, 95.35, 95.6, 95.73, 95.85, 96.04, 96.27, 96.5, 96.57, 96.66, 96.73, 96.72, 96.94, 97.21, 97.32, 97.47, 97.72, 97.68] 2021-02-05 00:52:12.879: INFO @evaluate_confidence: Dropped ratios are: [19.09, 19.97, 20.82, 21.6, 22.38, 23.46, 24.31, 25.31, 26.07, 26.99, 27.72, 28.63, 29.73, 30.76, 31.89, 32.76, 33.87, 34.8, 35.78, 36.8, 38.01, 39.09, 40.47, 41.6, 42.72] 2021-02-05 00:52:12.881: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:52:12.881: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:52:12.881: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:52:12.881: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:52:12.962: INFO @evaluate_confidence: Previous accuracy would be: 46.31 2021-02-05 00:52:12.962: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:52:12.963: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.87, 58.5, 59.61, 60.7, 61.35, 61.75, 62.43, 62.78, 63.24, 63.58] 2021-02-05 00:52:12.963: INFO @evaluate_confidence: Dropped ratios are: [51.88, 54.84, 57.7, 60.49, 62.74, 64.65, 66.61, 68.59, 70.25, 72.1] 2021-02-05 00:52:12.972: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:52:13.341: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:13.403: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:52:13.681: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:13.837: INFO @decay_lr : LR updated to `5.2426745e-05` 2021-02-05 00:52:14.035: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 00:52:14.037: INFO @log_profile : T train: 12.517842 2021-02-05 00:52:14.037: INFO @log_profile : T valid: 1.548378 2021-02-05 00:52:14.037: INFO @log_profile : T read data: 0.394254 2021-02-05 00:52:14.037: INFO @log_profile : T hooks: 4.639585 2021-02-05 00:52:14.037: INFO @main_loop : Epoch 348 done 2021-02-05 00:52:14.037: INFO @main_loop : Training epoch 349 2021-02-05 00:52:29.531: INFO @log_variables: train loss nanmean: 1.147724 2021-02-05 00:52:29.531: INFO @log_variables: train age_loss mean: 8.654408 2021-02-05 00:52:29.531: INFO @log_variables: train gender_loss mean: 0.258824 2021-02-05 00:52:29.531: INFO @log_variables: train age_mae mean: 8.097798 2021-02-05 00:52:29.532: INFO @log_variables: train gender_accuracy mean: 0.890410 2021-02-05 00:52:29.532: INFO @log_variables: train gender_confidence/loss nanmean: 0.066618 2021-02-05 00:52:29.532: INFO @log_variables: train gender_confidence/accuracy mean: 0.794944 2021-02-05 00:52:29.532: INFO @log_variables: train age_confidence/loss mean: 0.059046 2021-02-05 00:52:29.532: INFO @log_variables: train age_confidence/accuracy mean: 0.673330 2021-02-05 00:52:29.532: INFO @log_variables: valid loss nanmean: 1.184960 2021-02-05 00:52:29.532: INFO @log_variables: valid age_loss mean: 8.761207 2021-02-05 00:52:29.532: INFO @log_variables: valid gender_loss mean: 0.277152 2021-02-05 00:52:29.532: INFO @log_variables: valid age_mae mean: 8.189640 2021-02-05 00:52:29.532: INFO @log_variables: valid gender_accuracy mean: 0.892373 2021-02-05 00:52:29.532: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073135 2021-02-05 00:52:29.532: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842198 2021-02-05 00:52:29.532: INFO @log_variables: valid age_confidence/loss mean: 0.063395 2021-02-05 00:52:29.532: INFO @log_variables: valid age_confidence/accuracy mean: 0.628450 2021-02-05 00:52:29.532: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:52:29.534: INFO @metrics_hook: train age_mae: 8.098 +-0.142 (13806) 2021-02-05 00:52:29.536: INFO @metrics_hook: train gender_accuracy: 0.890 +-0.005 (13806) 2021-02-05 00:52:30.947: INFO @metrics_hook: valid age_mae: 8.190 +-0.264 (3986) 2021-02-05 00:52:30.947: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:52:32.303: INFO @decay_lr : LR updated to `5.216461e-05` 2021-02-05 00:52:32.304: INFO @log_profile : T train: 12.860246 2021-02-05 00:52:32.304: INFO @log_profile : T valid: 1.508320 2021-02-05 00:52:32.304: INFO @log_profile : T read data: 0.495169 2021-02-05 00:52:32.304: INFO @log_profile : T hooks: 3.356002 2021-02-05 00:52:32.305: INFO @main_loop : Epoch 349 done 2021-02-05 00:52:32.305: INFO @main_loop : Training epoch 350 2021-02-05 00:52:48.480: INFO @log_variables: train loss nanmean: 1.129103 2021-02-05 00:52:48.481: INFO @log_variables: train age_loss mean: 8.450482 2021-02-05 00:52:48.481: INFO @log_variables: train gender_loss mean: 0.255724 2021-02-05 00:52:48.481: INFO @log_variables: train age_mae mean: 7.898542 2021-02-05 00:52:48.481: INFO @log_variables: train gender_accuracy mean: 0.892940 2021-02-05 00:52:48.481: INFO @log_variables: train gender_confidence/loss nanmean: 0.068226 2021-02-05 00:52:48.481: INFO @log_variables: train gender_confidence/accuracy mean: 0.788050 2021-02-05 00:52:48.481: INFO @log_variables: train age_confidence/loss mean: 0.060175 2021-02-05 00:52:48.481: INFO @log_variables: train age_confidence/accuracy mean: 0.667390 2021-02-05 00:52:48.481: INFO @log_variables: valid loss nanmean: 1.194402 2021-02-05 00:52:48.481: INFO @log_variables: valid age_loss mean: 8.885695 2021-02-05 00:52:48.481: INFO @log_variables: valid gender_loss mean: 0.274017 2021-02-05 00:52:48.481: INFO @log_variables: valid age_mae mean: 8.303161 2021-02-05 00:52:48.481: INFO @log_variables: valid gender_accuracy mean: 0.891621 2021-02-05 00:52:48.481: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073877 2021-02-05 00:52:48.481: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851229 2021-02-05 00:52:48.481: INFO @log_variables: valid age_confidence/loss mean: 0.063629 2021-02-05 00:52:48.481: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 00:52:48.482: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:52:48.483: INFO @metrics_hook: train age_mae: 7.899 +-0.139 (13824) 2021-02-05 00:52:48.485: INFO @metrics_hook: train gender_accuracy: 0.893 +-0.005 (13824) 2021-02-05 00:52:49.886: INFO @metrics_hook: valid age_mae: 8.303 +-0.272 (3986) 2021-02-05 00:52:49.887: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:52:51.152: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:52:51.152: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.74 +- 0.23 2021-02-05 00:52:51.153: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:52:51.153: INFO @evaluate_confidence: Average confidence of all samples 0.71 +- 0.24 2021-02-05 00:52:51.229: INFO @evaluate_confidence: Previous accuracy would be: 89.29 2021-02-05 00:52:51.229: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:52:51.235: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.12, 94.32, 94.48, 94.63, 94.77, 95.0, 95.18, 95.32, 95.52, 95.71, 95.92, 96.03, 96.17, 96.34, 96.43, 96.63, 96.77, 96.83, 96.95, 97.1, 97.18, 97.3, 97.31, 97.46, 97.51, 97.63, 97.8, 97.88] 2021-02-05 00:52:51.235: INFO @evaluate_confidence: Dropped ratios are: [20.72, 21.74, 22.77, 23.71, 24.76, 25.82, 26.69, 27.6, 28.68, 29.62, 30.59, 31.55, 32.52, 33.59, 34.42, 35.39, 36.44, 37.32, 38.35, 39.31, 40.31, 41.36, 42.36, 43.33, 44.29, 45.36, 46.48, 47.43] 2021-02-05 00:52:51.241: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:52:51.241: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:52:51.241: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.41 +- 0.13 2021-02-05 00:52:51.241: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:52:51.335: INFO @evaluate_confidence: Previous accuracy would be: 48.37 2021-02-05 00:52:51.335: INFO @evaluate_confidence: Possible optimal thresholds are: [0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:52:51.339: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.76, 62.54, 63.68, 64.6, 65.91, 67.06, 68.11, 69.59, 70.61, 71.54, 72.52, 73.32, 74.32, 75.07, 75.84, 76.56] 2021-02-05 00:52:51.339: INFO @evaluate_confidence: Dropped ratios are: [46.28, 48.69, 51.44, 53.8, 56.07, 58.14, 60.01, 61.85, 63.48, 64.92, 66.51, 68.08, 69.47, 70.72, 71.91, 73.03] 2021-02-05 00:52:51.341: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:52:51.341: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:52:51.341: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:52:51.341: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:52:51.415: INFO @evaluate_confidence: Previous accuracy would be: 89.16 2021-02-05 00:52:51.415: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:52:51.417: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.89, 94.02, 94.38, 94.58, 94.73, 94.82, 95.02, 95.07, 95.19, 95.33, 95.46, 95.55, 95.74, 95.99, 96.06, 96.19, 96.35, 96.49, 96.77, 97.0, 97.17, 97.32, 97.55, 97.64, 97.77, 97.82] 2021-02-05 00:52:51.417: INFO @evaluate_confidence: Dropped ratios are: [18.67, 19.44, 20.5, 21.37, 22.43, 23.03, 23.93, 24.64, 25.44, 26.47, 27.6, 28.4, 29.28, 30.51, 31.16, 32.19, 33.37, 34.3, 35.5, 36.45, 37.16, 38.26, 39.51, 40.39, 41.6, 42.57] 2021-02-05 00:52:51.419: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:52:51.419: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 00:52:51.419: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.13 2021-02-05 00:52:51.419: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 00:52:51.502: INFO @evaluate_confidence: Previous accuracy would be: 44.83 2021-02-05 00:52:51.502: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:52:51.503: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.04, 58.04, 58.8, 59.74, 60.63, 61.58, 62.2, 63.44, 64.53, 64.86, 65.6] 2021-02-05 00:52:51.503: INFO @evaluate_confidence: Dropped ratios are: [52.81, 55.82, 58.35, 61.11, 63.55, 65.45, 67.21, 68.92, 70.65, 72.15, 73.38] 2021-02-05 00:52:51.513: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:52:51.862: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:51.920: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:52:52.196: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:52.251: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:52:52.615: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:52.672: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:52:52.673: INFO @evaluate_gender-age_model: groups 0 4.794277 1 7.949852 2 8.478027 3 8.181822 4 8.727036 5 8.900456 6 8.527172 7 7.214700 Name: errors, dtype: float64 2021-02-05 00:52:52.674: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:52:52.949: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:52:53.003: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:52:53.003: INFO @evaluate_gender-age_model: groups 0 5.518097 1 7.343036 2 7.926681 3 7.577754 4 9.177500 5 10.005245 6 9.249834 7 7.655384 Name: errors, dtype: float64 2021-02-05 00:52:53.102: INFO @decay_lr : LR updated to `5.190379e-05` 2021-02-05 00:52:53.103: INFO @log_profile : T train: 12.989136 2021-02-05 00:52:53.103: INFO @log_profile : T valid: 1.632225 2021-02-05 00:52:53.103: INFO @log_profile : T read data: 0.406056 2021-02-05 00:52:53.103: INFO @log_profile : T hooks: 5.722762 2021-02-05 00:52:53.103: INFO @main_loop : Epoch 350 done 2021-02-05 00:52:53.103: INFO @main_loop : Training epoch 351 2021-02-05 00:53:07.942: INFO @log_variables: train loss nanmean: 1.121353 2021-02-05 00:53:07.942: INFO @log_variables: train age_loss mean: 8.477656 2021-02-05 00:53:07.942: INFO @log_variables: train gender_loss mean: 0.246782 2021-02-05 00:53:07.942: INFO @log_variables: train age_mae mean: 7.926074 2021-02-05 00:53:07.942: INFO @log_variables: train gender_accuracy mean: 0.897931 2021-02-05 00:53:07.942: INFO @log_variables: train gender_confidence/loss nanmean: 0.066250 2021-02-05 00:53:07.942: INFO @log_variables: train gender_confidence/accuracy mean: 0.799551 2021-02-05 00:53:07.942: INFO @log_variables: train age_confidence/loss mean: 0.060059 2021-02-05 00:53:07.942: INFO @log_variables: train age_confidence/accuracy mean: 0.661386 2021-02-05 00:53:07.943: INFO @log_variables: valid loss nanmean: 1.194900 2021-02-05 00:53:07.943: INFO @log_variables: valid age_loss mean: 8.844121 2021-02-05 00:53:07.943: INFO @log_variables: valid gender_loss mean: 0.276128 2021-02-05 00:53:07.943: INFO @log_variables: valid age_mae mean: 8.267193 2021-02-05 00:53:07.943: INFO @log_variables: valid gender_accuracy mean: 0.893126 2021-02-05 00:53:07.943: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076374 2021-02-05 00:53:07.943: INFO @log_variables: valid gender_confidence/accuracy mean: 0.854240 2021-02-05 00:53:07.943: INFO @log_variables: valid age_confidence/loss mean: 0.063489 2021-02-05 00:53:07.943: INFO @log_variables: valid age_confidence/accuracy mean: 0.620171 2021-02-05 00:53:07.943: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:53:07.945: INFO @metrics_hook: train age_mae: 7.926 +-0.140 (13824) 2021-02-05 00:53:07.946: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13824) 2021-02-05 00:53:09.374: INFO @metrics_hook: valid age_mae: 8.267 +-0.269 (3986) 2021-02-05 00:53:09.374: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:53:10.713: INFO @decay_lr : LR updated to `5.164427e-05` 2021-02-05 00:53:10.714: INFO @log_profile : T train: 12.282962 2021-02-05 00:53:10.714: INFO @log_profile : T valid: 1.530281 2021-02-05 00:53:10.714: INFO @log_profile : T read data: 0.394642 2021-02-05 00:53:10.714: INFO @log_profile : T hooks: 3.358911 2021-02-05 00:53:10.715: INFO @main_loop : Epoch 351 done 2021-02-05 00:53:10.715: INFO @main_loop : Training epoch 352 2021-02-05 00:53:26.123: INFO @log_variables: train loss nanmean: 1.115664 2021-02-05 00:53:26.123: INFO @log_variables: train age_loss mean: 8.431038 2021-02-05 00:53:26.123: INFO @log_variables: train gender_loss mean: 0.245292 2021-02-05 00:53:26.123: INFO @log_variables: train age_mae mean: 7.874773 2021-02-05 00:53:26.123: INFO @log_variables: train gender_accuracy mean: 0.898023 2021-02-05 00:53:26.123: INFO @log_variables: train gender_confidence/loss nanmean: 0.065361 2021-02-05 00:53:26.123: INFO @log_variables: train gender_confidence/accuracy mean: 0.800608 2021-02-05 00:53:26.123: INFO @log_variables: train age_confidence/loss mean: 0.060852 2021-02-05 00:53:26.123: INFO @log_variables: train age_confidence/accuracy mean: 0.655465 2021-02-05 00:53:26.123: INFO @log_variables: valid loss nanmean: 1.199784 2021-02-05 00:53:26.124: INFO @log_variables: valid age_loss mean: 8.851153 2021-02-05 00:53:26.124: INFO @log_variables: valid gender_loss mean: 0.282235 2021-02-05 00:53:26.124: INFO @log_variables: valid age_mae mean: 8.272961 2021-02-05 00:53:26.124: INFO @log_variables: valid gender_accuracy mean: 0.886854 2021-02-05 00:53:26.124: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074209 2021-02-05 00:53:26.124: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848721 2021-02-05 00:53:26.124: INFO @log_variables: valid age_confidence/loss mean: 0.064347 2021-02-05 00:53:26.124: INFO @log_variables: valid age_confidence/accuracy mean: 0.618916 2021-02-05 00:53:26.124: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:53:26.126: INFO @metrics_hook: train age_mae: 7.875 +-0.140 (13807) 2021-02-05 00:53:26.127: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13807) 2021-02-05 00:53:27.580: INFO @metrics_hook: valid age_mae: 8.273 +-0.270 (3986) 2021-02-05 00:53:27.580: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:53:28.820: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:53:28.821: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:53:28.821: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:53:28.821: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:53:28.903: INFO @evaluate_confidence: Previous accuracy would be: 89.80 2021-02-05 00:53:28.903: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:53:28.909: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.4, 94.61, 94.75, 94.93, 95.13, 95.31, 95.52, 95.68, 95.84, 95.89, 96.02, 96.18, 96.27, 96.41, 96.61, 96.76, 96.89, 97.02, 97.13, 97.24, 97.36, 97.51, 97.63, 97.72, 97.78, 97.98, 98.13, 98.27, 98.36] 2021-02-05 00:53:28.909: INFO @evaluate_confidence: Dropped ratios are: [19.5, 20.45, 21.3, 22.26, 23.22, 24.3, 25.23, 26.1, 27.15, 28.04, 28.88, 29.93, 30.95, 31.89, 32.86, 33.79, 34.61, 35.52, 36.51, 37.62, 38.65, 39.7, 40.73, 41.67, 42.84, 44.0, 44.98, 46.01, 46.97] 2021-02-05 00:53:28.915: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:53:28.915: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:53:28.915: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:53:28.915: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:53:29.011: INFO @evaluate_confidence: Previous accuracy would be: 48.60 2021-02-05 00:53:29.011: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:53:29.015: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.83, 62.78, 63.66, 64.8, 65.91, 66.93, 67.89, 68.84, 69.63, 70.48, 71.61, 72.28, 72.92, 73.96, 74.74] 2021-02-05 00:53:29.015: INFO @evaluate_confidence: Dropped ratios are: [47.43, 50.26, 52.49, 54.81, 56.83, 58.94, 60.82, 62.56, 63.97, 65.58, 67.07, 68.54, 69.91, 71.16, 72.47] 2021-02-05 00:53:29.017: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:53:29.017: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:53:29.017: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 00:53:29.017: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 00:53:29.096: INFO @evaluate_confidence: Previous accuracy would be: 88.69 2021-02-05 00:53:29.096: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:53:29.098: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.38, 93.58, 93.75, 93.85, 94.05, 94.31, 94.53, 94.7, 94.92, 95.0, 95.21, 95.37, 95.46, 95.7, 95.87, 96.16, 96.24, 96.38, 96.43, 96.52, 96.71, 96.97, 97.33, 97.32, 97.52] 2021-02-05 00:53:29.098: INFO @evaluate_confidence: Dropped ratios are: [18.49, 19.54, 20.47, 21.32, 21.95, 22.85, 23.86, 24.74, 25.92, 26.69, 27.75, 28.47, 29.75, 30.63, 31.41, 32.79, 33.87, 34.9, 36.08, 37.23, 38.31, 39.49, 40.84, 41.92, 43.3] 2021-02-05 00:53:29.100: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:53:29.100: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:53:29.100: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:53:29.100: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:53:29.190: INFO @evaluate_confidence: Previous accuracy would be: 46.06 2021-02-05 00:53:29.190: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:53:29.191: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.3, 57.55, 58.69, 59.68, 61.02, 62.21, 62.73, 63.26, 64.19] 2021-02-05 00:53:29.191: INFO @evaluate_confidence: Dropped ratios are: [54.77, 57.8, 60.29, 62.54, 64.6, 66.81, 68.77, 70.3, 71.98] 2021-02-05 00:53:29.200: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:53:29.576: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:53:29.634: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:53:29.945: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:53:30.110: INFO @decay_lr : LR updated to `5.138605e-05` 2021-02-05 00:53:30.111: INFO @log_profile : T train: 12.722460 2021-02-05 00:53:30.111: INFO @log_profile : T valid: 1.567471 2021-02-05 00:53:30.111: INFO @log_profile : T read data: 0.501605 2021-02-05 00:53:30.111: INFO @log_profile : T hooks: 4.557492 2021-02-05 00:53:30.111: INFO @main_loop : Epoch 352 done 2021-02-05 00:53:30.111: INFO @main_loop : Training epoch 353 2021-02-05 00:53:45.609: INFO @log_variables: train loss nanmean: 1.115932 2021-02-05 00:53:45.609: INFO @log_variables: train age_loss mean: 8.384711 2021-02-05 00:53:45.609: INFO @log_variables: train gender_loss mean: 0.249569 2021-02-05 00:53:45.609: INFO @log_variables: train age_mae mean: 7.839412 2021-02-05 00:53:45.609: INFO @log_variables: train gender_accuracy mean: 0.895609 2021-02-05 00:53:45.609: INFO @log_variables: train gender_confidence/loss nanmean: 0.066988 2021-02-05 00:53:45.609: INFO @log_variables: train gender_confidence/accuracy mean: 0.796137 2021-02-05 00:53:45.609: INFO @log_variables: train age_confidence/loss mean: 0.059816 2021-02-05 00:53:45.609: INFO @log_variables: train age_confidence/accuracy mean: 0.666498 2021-02-05 00:53:45.609: INFO @log_variables: valid loss nanmean: 1.189753 2021-02-05 00:53:45.609: INFO @log_variables: valid age_loss mean: 8.863414 2021-02-05 00:53:45.610: INFO @log_variables: valid gender_loss mean: 0.270867 2021-02-05 00:53:45.610: INFO @log_variables: valid age_mae mean: 8.284376 2021-02-05 00:53:45.610: INFO @log_variables: valid gender_accuracy mean: 0.892875 2021-02-05 00:53:45.610: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074184 2021-02-05 00:53:45.610: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849222 2021-02-05 00:53:45.610: INFO @log_variables: valid age_confidence/loss mean: 0.063562 2021-02-05 00:53:45.610: INFO @log_variables: valid age_confidence/accuracy mean: 0.624185 2021-02-05 00:53:45.610: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:53:45.612: INFO @metrics_hook: train age_mae: 7.839 +-0.139 (13823) 2021-02-05 00:53:45.613: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13823) 2021-02-05 00:53:47.053: INFO @metrics_hook: valid age_mae: 8.284 +-0.273 (3986) 2021-02-05 00:53:47.053: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:53:48.415: INFO @decay_lr : LR updated to `5.1129122e-05` 2021-02-05 00:53:48.416: INFO @log_profile : T train: 12.896201 2021-02-05 00:53:48.416: INFO @log_profile : T valid: 1.539829 2021-02-05 00:53:48.416: INFO @log_profile : T read data: 0.407843 2021-02-05 00:53:48.416: INFO @log_profile : T hooks: 3.412088 2021-02-05 00:53:48.416: INFO @main_loop : Epoch 353 done 2021-02-05 00:53:48.416: INFO @main_loop : Training epoch 354 2021-02-05 00:54:03.940: INFO @log_variables: train loss nanmean: 1.116572 2021-02-05 00:54:03.940: INFO @log_variables: train age_loss mean: 8.386532 2021-02-05 00:54:03.940: INFO @log_variables: train gender_loss mean: 0.248457 2021-02-05 00:54:03.940: INFO @log_variables: train age_mae mean: 7.839312 2021-02-05 00:54:03.940: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:54:03.940: INFO @log_variables: train gender_confidence/loss nanmean: 0.068725 2021-02-05 00:54:03.941: INFO @log_variables: train gender_confidence/accuracy mean: 0.791305 2021-02-05 00:54:03.941: INFO @log_variables: train age_confidence/loss mean: 0.059565 2021-02-05 00:54:03.941: INFO @log_variables: train age_confidence/accuracy mean: 0.668113 2021-02-05 00:54:03.941: INFO @log_variables: valid loss nanmean: 1.192661 2021-02-05 00:54:03.941: INFO @log_variables: valid age_loss mean: 8.825526 2021-02-05 00:54:03.941: INFO @log_variables: valid gender_loss mean: 0.278854 2021-02-05 00:54:03.941: INFO @log_variables: valid age_mae mean: 8.247853 2021-02-05 00:54:03.941: INFO @log_variables: valid gender_accuracy mean: 0.893126 2021-02-05 00:54:03.941: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073260 2021-02-05 00:54:03.941: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844456 2021-02-05 00:54:03.941: INFO @log_variables: valid age_confidence/loss mean: 0.063577 2021-02-05 00:54:03.941: INFO @log_variables: valid age_confidence/accuracy mean: 0.632965 2021-02-05 00:54:03.941: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:54:03.943: INFO @metrics_hook: train age_mae: 7.839 +-0.137 (13824) 2021-02-05 00:54:03.945: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:54:05.425: INFO @metrics_hook: valid age_mae: 8.248 +-0.271 (3986) 2021-02-05 00:54:05.425: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:54:06.725: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:54:06.725: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:54:06.725: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 00:54:06.725: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:54:06.805: INFO @evaluate_confidence: Previous accuracy would be: 89.59 2021-02-05 00:54:06.805: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:54:06.811: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.3, 94.48, 94.6, 94.7, 94.91, 95.06, 95.2, 95.35, 95.48, 95.6, 95.84, 95.96, 96.14, 96.28, 96.43, 96.5, 96.63, 96.76, 96.86, 97.0, 97.15, 97.31, 97.42, 97.51, 97.62, 97.72, 97.8, 97.86, 97.95] 2021-02-05 00:54:06.811: INFO @evaluate_confidence: Dropped ratios are: [20.31, 21.31, 22.14, 23.13, 24.09, 24.92, 25.85, 26.87, 27.76, 28.73, 29.62, 30.56, 31.57, 32.44, 33.41, 34.36, 35.37, 36.34, 37.29, 38.27, 39.36, 40.36, 41.37, 42.25, 43.39, 44.44, 45.38, 46.51, 47.51] 2021-02-05 00:54:06.817: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:54:06.817: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:54:06.817: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:54:06.817: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:54:06.915: INFO @evaluate_confidence: Previous accuracy would be: 47.58 2021-02-05 00:54:06.915: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:54:06.919: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.74, 63.14, 64.26, 65.09, 66.2, 67.04, 68.15, 69.13, 70.23, 71.01, 71.67, 72.78, 74.05, 75.0, 76.07, 77.13] 2021-02-05 00:54:06.919: INFO @evaluate_confidence: Dropped ratios are: [47.76, 50.69, 53.05, 55.22, 57.47, 59.33, 60.98, 62.7, 64.42, 66.02, 67.65, 69.09, 70.62, 71.96, 73.06, 74.15] 2021-02-05 00:54:06.921: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:54:06.921: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.81 +- 0.20 2021-02-05 00:54:06.921: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.55 +- 0.20 2021-02-05 00:54:06.921: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.22 2021-02-05 00:54:06.997: INFO @evaluate_confidence: Previous accuracy would be: 89.31 2021-02-05 00:54:06.997: INFO @evaluate_confidence: Possible optimal thresholds are: [0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8] 2021-02-05 00:54:06.999: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.0, 94.25, 94.44, 94.57, 94.58, 94.96, 95.2, 95.32, 95.34, 95.49, 95.61, 95.76, 96.03, 96.16, 96.34, 96.46, 96.55, 96.66, 96.69, 96.75, 96.91, 97.09, 97.16, 97.31, 97.52, 97.76] 2021-02-05 00:54:06.999: INFO @evaluate_confidence: Dropped ratios are: [18.04, 18.89, 19.67, 20.6, 21.73, 22.78, 23.63, 24.94, 25.69, 26.64, 27.35, 28.32, 29.23, 30.08, 30.73, 31.31, 32.29, 33.09, 34.14, 35.17, 35.95, 37.05, 38.23, 39.46, 40.39, 41.7] 2021-02-05 00:54:07.001: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:54:07.001: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:54:07.001: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:54:07.001: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 00:54:07.087: INFO @evaluate_confidence: Previous accuracy would be: 45.89 2021-02-05 00:54:07.087: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:54:07.088: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.68, 58.79, 59.67, 60.4, 62.01, 62.51, 63.53, 64.52, 65.49, 66.49] 2021-02-05 00:54:07.088: INFO @evaluate_confidence: Dropped ratios are: [51.98, 55.32, 57.95, 60.79, 63.22, 65.0, 66.91, 68.39, 70.12, 71.7] 2021-02-05 00:54:07.098: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:54:07.487: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:54:07.548: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:54:07.832: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:54:07.995: INFO @decay_lr : LR updated to `5.0873477e-05` 2021-02-05 00:54:07.996: INFO @log_profile : T train: 12.810814 2021-02-05 00:54:07.996: INFO @log_profile : T valid: 1.648217 2021-02-05 00:54:07.996: INFO @log_profile : T read data: 0.413566 2021-02-05 00:54:07.996: INFO @log_profile : T hooks: 4.658217 2021-02-05 00:54:07.996: INFO @main_loop : Epoch 354 done 2021-02-05 00:54:07.996: INFO @main_loop : Training epoch 355 2021-02-05 00:54:23.611: INFO @log_variables: train loss nanmean: 1.109555 2021-02-05 00:54:23.612: INFO @log_variables: train age_loss mean: 8.420339 2021-02-05 00:54:23.612: INFO @log_variables: train gender_loss mean: 0.239402 2021-02-05 00:54:23.612: INFO @log_variables: train age_mae mean: 7.871263 2021-02-05 00:54:23.612: INFO @log_variables: train gender_accuracy mean: 0.902006 2021-02-05 00:54:23.612: INFO @log_variables: train gender_confidence/loss nanmean: 0.066708 2021-02-05 00:54:23.612: INFO @log_variables: train gender_confidence/accuracy mean: 0.800536 2021-02-05 00:54:23.612: INFO @log_variables: train age_confidence/loss mean: 0.059724 2021-02-05 00:54:23.612: INFO @log_variables: train age_confidence/accuracy mean: 0.664663 2021-02-05 00:54:23.612: INFO @log_variables: valid loss nanmean: 1.202409 2021-02-05 00:54:23.612: INFO @log_variables: valid age_loss mean: 8.875177 2021-02-05 00:54:23.612: INFO @log_variables: valid gender_loss mean: 0.283031 2021-02-05 00:54:23.612: INFO @log_variables: valid age_mae mean: 8.298146 2021-02-05 00:54:23.612: INFO @log_variables: valid gender_accuracy mean: 0.893879 2021-02-05 00:54:23.612: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075453 2021-02-05 00:54:23.612: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842950 2021-02-05 00:54:23.612: INFO @log_variables: valid age_confidence/loss mean: 0.062821 2021-02-05 00:54:23.612: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:54:23.613: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:54:23.614: INFO @metrics_hook: train age_mae: 7.871 +-0.137 (13807) 2021-02-05 00:54:23.616: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13807) 2021-02-05 00:54:25.042: INFO @metrics_hook: valid age_mae: 8.298 +-0.269 (3986) 2021-02-05 00:54:25.043: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:54:26.386: INFO @decay_lr : LR updated to `5.061911e-05` 2021-02-05 00:54:26.387: INFO @log_profile : T train: 12.926325 2021-02-05 00:54:26.387: INFO @log_profile : T valid: 1.504625 2021-02-05 00:54:26.387: INFO @log_profile : T read data: 0.527659 2021-02-05 00:54:26.387: INFO @log_profile : T hooks: 3.383334 2021-02-05 00:54:26.388: INFO @main_loop : Epoch 355 done 2021-02-05 00:54:26.388: INFO @main_loop : Training epoch 356 2021-02-05 00:54:41.809: INFO @log_variables: train loss nanmean: 1.123611 2021-02-05 00:54:41.809: INFO @log_variables: train age_loss mean: 8.448713 2021-02-05 00:54:41.809: INFO @log_variables: train gender_loss mean: 0.251034 2021-02-05 00:54:41.809: INFO @log_variables: train age_mae mean: 7.897436 2021-02-05 00:54:41.809: INFO @log_variables: train gender_accuracy mean: 0.894676 2021-02-05 00:54:41.809: INFO @log_variables: train gender_confidence/loss nanmean: 0.066744 2021-02-05 00:54:41.809: INFO @log_variables: train gender_confidence/accuracy mean: 0.794560 2021-02-05 00:54:41.810: INFO @log_variables: train age_confidence/loss mean: 0.060589 2021-02-05 00:54:41.810: INFO @log_variables: train age_confidence/accuracy mean: 0.654731 2021-02-05 00:54:41.810: INFO @log_variables: valid loss nanmean: 1.196318 2021-02-05 00:54:41.810: INFO @log_variables: valid age_loss mean: 8.836125 2021-02-05 00:54:41.810: INFO @log_variables: valid gender_loss mean: 0.281097 2021-02-05 00:54:41.810: INFO @log_variables: valid age_mae mean: 8.256770 2021-02-05 00:54:41.810: INFO @log_variables: valid gender_accuracy mean: 0.891370 2021-02-05 00:54:41.810: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073719 2021-02-05 00:54:41.810: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849724 2021-02-05 00:54:41.810: INFO @log_variables: valid age_confidence/loss mean: 0.063772 2021-02-05 00:54:41.810: INFO @log_variables: valid age_confidence/accuracy mean: 0.628199 2021-02-05 00:54:41.810: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:54:41.812: INFO @metrics_hook: train age_mae: 7.897 +-0.140 (13824) 2021-02-05 00:54:41.813: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13824) 2021-02-05 00:54:43.225: INFO @metrics_hook: valid age_mae: 8.257 +-0.271 (3986) 2021-02-05 00:54:43.225: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:54:44.463: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:54:44.463: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:54:44.463: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:54:44.463: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:54:44.541: INFO @evaluate_confidence: Previous accuracy would be: 89.47 2021-02-05 00:54:44.541: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:54:44.546: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.25, 94.48, 94.65, 94.88, 95.06, 95.17, 95.33, 95.53, 95.68, 95.81, 95.97, 96.09, 96.18, 96.33, 96.52, 96.62, 96.79, 96.91, 96.97, 97.07, 97.17, 97.27, 97.34, 97.51, 97.62, 97.83, 97.88, 97.98, 98.01] 2021-02-05 00:54:44.547: INFO @evaluate_confidence: Dropped ratios are: [20.25, 21.3, 22.27, 23.22, 24.12, 25.09, 26.06, 26.94, 27.92, 28.86, 29.89, 30.81, 31.84, 32.87, 33.9, 34.69, 35.74, 36.86, 37.74, 38.71, 39.68, 40.75, 41.62, 42.69, 43.55, 44.61, 45.67, 46.72, 47.66] 2021-02-05 00:54:44.552: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:54:44.552: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:54:44.552: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:54:44.553: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:54:44.648: INFO @evaluate_confidence: Previous accuracy would be: 48.13 2021-02-05 00:54:44.648: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:54:44.652: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.03, 63.08, 64.5, 65.44, 66.13, 67.18, 67.93, 68.83, 69.58, 70.58, 71.74, 72.76, 73.93, 74.99, 75.83] 2021-02-05 00:54:44.652: INFO @evaluate_confidence: Dropped ratios are: [49.06, 51.55, 53.99, 56.21, 58.36, 60.18, 61.96, 63.73, 65.26, 66.83, 68.42, 69.89, 71.17, 72.47, 73.78] 2021-02-05 00:54:44.654: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:54:44.654: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:54:44.654: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.19 2021-02-05 00:54:44.654: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:54:44.728: INFO @evaluate_confidence: Previous accuracy would be: 89.14 2021-02-05 00:54:44.728: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:54:44.730: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.71, 93.82, 93.95, 94.18, 94.54, 94.71, 94.89, 95.02, 95.1, 95.18, 95.43, 95.55, 96.01, 96.38, 96.48, 96.76, 96.86, 96.97, 97.04, 97.08, 97.14, 97.19, 97.35, 97.51, 97.72, 97.75] 2021-02-05 00:54:44.730: INFO @evaluate_confidence: Dropped ratios are: [18.19, 19.17, 19.97, 20.7, 21.88, 22.73, 23.91, 24.99, 25.69, 26.54, 27.55, 28.4, 29.58, 30.78, 31.66, 32.71, 33.69, 34.65, 35.62, 36.38, 37.66, 38.43, 39.44, 40.57, 41.67, 43.13] 2021-02-05 00:54:44.732: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:54:44.732: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:54:44.732: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:54:44.732: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:54:44.815: INFO @evaluate_confidence: Previous accuracy would be: 46.01 2021-02-05 00:54:44.816: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:54:44.817: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.06, 58.76, 59.6, 60.59, 61.05, 62.03, 63.01, 63.73, 64.58, 65.81] 2021-02-05 00:54:44.817: INFO @evaluate_confidence: Dropped ratios are: [49.4, 52.43, 55.72, 58.55, 61.16, 63.6, 65.96, 67.84, 69.89, 71.68] 2021-02-05 00:54:44.826: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:54:45.207: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:54:45.267: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:54:45.552: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:54:45.714: INFO @decay_lr : LR updated to `5.0366016e-05` 2021-02-05 00:54:45.715: INFO @log_profile : T train: 12.799367 2021-02-05 00:54:45.715: INFO @log_profile : T valid: 1.593864 2021-02-05 00:54:45.715: INFO @log_profile : T read data: 0.395470 2021-02-05 00:54:45.715: INFO @log_profile : T hooks: 4.491607 2021-02-05 00:54:45.716: INFO @main_loop : Epoch 356 done 2021-02-05 00:54:45.716: INFO @main_loop : Training epoch 357 2021-02-05 00:55:01.135: INFO @log_variables: train loss nanmean: 1.108930 2021-02-05 00:55:01.135: INFO @log_variables: train age_loss mean: 8.404258 2021-02-05 00:55:01.135: INFO @log_variables: train gender_loss mean: 0.241520 2021-02-05 00:55:01.135: INFO @log_variables: train age_mae mean: 7.851624 2021-02-05 00:55:01.135: INFO @log_variables: train gender_accuracy mean: 0.898727 2021-02-05 00:55:01.135: INFO @log_variables: train gender_confidence/loss nanmean: 0.064922 2021-02-05 00:55:01.136: INFO @log_variables: train gender_confidence/accuracy mean: 0.809245 2021-02-05 00:55:01.136: INFO @log_variables: train age_confidence/loss mean: 0.060420 2021-02-05 00:55:01.136: INFO @log_variables: train age_confidence/accuracy mean: 0.661458 2021-02-05 00:55:01.136: INFO @log_variables: valid loss nanmean: 1.192902 2021-02-05 00:55:01.136: INFO @log_variables: valid age_loss mean: 8.839918 2021-02-05 00:55:01.136: INFO @log_variables: valid gender_loss mean: 0.279647 2021-02-05 00:55:01.136: INFO @log_variables: valid age_mae mean: 8.265707 2021-02-05 00:55:01.136: INFO @log_variables: valid gender_accuracy mean: 0.889363 2021-02-05 00:55:01.136: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072612 2021-02-05 00:55:01.136: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840943 2021-02-05 00:55:01.136: INFO @log_variables: valid age_confidence/loss mean: 0.062437 2021-02-05 00:55:01.136: INFO @log_variables: valid age_confidence/accuracy mean: 0.626192 2021-02-05 00:55:01.136: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:55:01.138: INFO @metrics_hook: train age_mae: 7.852 +-0.138 (13824) 2021-02-05 00:55:01.139: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 00:55:02.546: INFO @metrics_hook: valid age_mae: 8.266 +-0.266 (3986) 2021-02-05 00:55:02.547: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:55:03.919: INFO @decay_lr : LR updated to `5.0114184e-05` 2021-02-05 00:55:03.920: INFO @log_profile : T train: 12.786308 2021-02-05 00:55:03.920: INFO @log_profile : T valid: 1.602978 2021-02-05 00:55:03.920: INFO @log_profile : T read data: 0.395009 2021-02-05 00:55:03.920: INFO @log_profile : T hooks: 3.372670 2021-02-05 00:55:03.920: INFO @main_loop : Epoch 357 done 2021-02-05 00:55:03.920: INFO @main_loop : Training epoch 358 2021-02-05 00:55:19.634: INFO @log_variables: train loss nanmean: 1.108226 2021-02-05 00:55:19.634: INFO @log_variables: train age_loss mean: 8.322320 2021-02-05 00:55:19.634: INFO @log_variables: train gender_loss mean: 0.246107 2021-02-05 00:55:19.634: INFO @log_variables: train age_mae mean: 7.773080 2021-02-05 00:55:19.634: INFO @log_variables: train gender_accuracy mean: 0.897081 2021-02-05 00:55:19.634: INFO @log_variables: train gender_confidence/loss nanmean: 0.067851 2021-02-05 00:55:19.634: INFO @log_variables: train gender_confidence/accuracy mean: 0.794814 2021-02-05 00:55:19.634: INFO @log_variables: train age_confidence/loss mean: 0.060067 2021-02-05 00:55:19.634: INFO @log_variables: train age_confidence/accuracy mean: 0.665315 2021-02-05 00:55:19.634: INFO @log_variables: valid loss nanmean: 1.190590 2021-02-05 00:55:19.634: INFO @log_variables: valid age_loss mean: 8.824297 2021-02-05 00:55:19.634: INFO @log_variables: valid gender_loss mean: 0.277433 2021-02-05 00:55:19.634: INFO @log_variables: valid age_mae mean: 8.248569 2021-02-05 00:55:19.634: INFO @log_variables: valid gender_accuracy mean: 0.891872 2021-02-05 00:55:19.635: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072991 2021-02-05 00:55:19.635: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840442 2021-02-05 00:55:19.635: INFO @log_variables: valid age_confidence/loss mean: 0.063178 2021-02-05 00:55:19.635: INFO @log_variables: valid age_confidence/accuracy mean: 0.612393 2021-02-05 00:55:19.635: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:55:19.636: INFO @metrics_hook: train age_mae: 7.773 +-0.136 (13807) 2021-02-05 00:55:19.638: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13807) 2021-02-05 00:55:21.073: INFO @metrics_hook: valid age_mae: 8.249 +-0.265 (3986) 2021-02-05 00:55:21.073: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:55:22.341: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:55:22.341: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:55:22.341: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.19 2021-02-05 00:55:22.341: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:55:22.423: INFO @evaluate_confidence: Previous accuracy would be: 89.71 2021-02-05 00:55:22.424: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:55:22.429: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.47, 94.54, 94.73, 94.85, 95.0, 95.22, 95.4, 95.52, 95.68, 95.93, 96.0, 96.17, 96.27, 96.46, 96.68, 96.85, 97.0, 97.13, 97.27, 97.34, 97.41, 97.53, 97.61, 97.64, 97.77, 97.85, 97.93, 98.07] 2021-02-05 00:55:22.430: INFO @evaluate_confidence: Dropped ratios are: [20.9, 21.84, 22.66, 23.47, 24.39, 25.23, 26.12, 27.04, 28.11, 29.05, 29.89, 30.91, 31.95, 32.94, 33.98, 35.03, 36.17, 37.16, 38.28, 39.2, 40.06, 41.1, 42.03, 43.11, 44.09, 45.06, 46.09, 47.05] 2021-02-05 00:55:22.436: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:55:22.436: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:55:22.436: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:55:22.436: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:55:22.538: INFO @evaluate_confidence: Previous accuracy would be: 48.51 2021-02-05 00:55:22.539: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:55:22.543: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.51, 63.89, 65.12, 65.93, 66.9, 67.76, 68.99, 70.04, 71.21, 72.06, 73.05, 73.97, 74.88, 75.53, 76.37, 77.2] 2021-02-05 00:55:22.543: INFO @evaluate_confidence: Dropped ratios are: [47.68, 50.21, 52.65, 54.6, 56.83, 58.66, 60.8, 62.61, 64.53, 66.04, 67.64, 69.15, 70.57, 71.85, 73.03, 74.14] 2021-02-05 00:55:22.544: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:55:22.544: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:55:22.545: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:55:22.545: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:55:22.625: INFO @evaluate_confidence: Previous accuracy would be: 89.19 2021-02-05 00:55:22.626: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:55:22.628: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.72, 93.99, 94.15, 94.14, 94.41, 94.68, 94.84, 94.97, 95.19, 95.49, 95.67, 95.73, 95.98, 96.2, 96.43, 96.49, 96.66, 96.76, 96.78, 96.89, 97.07, 97.3, 97.47, 97.54, 97.66, 97.7] 2021-02-05 00:55:22.628: INFO @evaluate_confidence: Dropped ratios are: [18.89, 19.87, 20.6, 21.2, 21.98, 22.7, 23.68, 24.21, 24.96, 26.07, 27.02, 27.77, 28.88, 30.06, 31.21, 32.06, 33.24, 34.24, 35.27, 36.18, 37.43, 38.59, 39.61, 40.87, 42.07, 43.28] 2021-02-05 00:55:22.630: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:55:22.630: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.18 2021-02-05 00:55:22.630: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:55:22.630: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:55:22.718: INFO @evaluate_confidence: Previous accuracy would be: 45.71 2021-02-05 00:55:22.718: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:55:22.719: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.52, 56.88, 57.52, 58.42, 58.82, 59.41, 60.39, 61.54, 62.64] 2021-02-05 00:55:22.719: INFO @evaluate_confidence: Dropped ratios are: [50.48, 54.04, 56.82, 60.54, 62.59, 64.4, 66.56, 68.69, 70.52] 2021-02-05 00:55:22.731: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:55:23.117: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:55:23.174: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:55:23.474: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:55:23.631: INFO @decay_lr : LR updated to `4.9863615e-05` 2021-02-05 00:55:23.632: INFO @log_profile : T train: 12.939008 2021-02-05 00:55:23.632: INFO @log_profile : T valid: 1.642996 2021-02-05 00:55:23.632: INFO @log_profile : T read data: 0.507044 2021-02-05 00:55:23.632: INFO @log_profile : T hooks: 4.574178 2021-02-05 00:55:23.632: INFO @main_loop : Epoch 358 done 2021-02-05 00:55:23.632: INFO @main_loop : Training epoch 359 2021-02-05 00:55:38.894: INFO @log_variables: train loss nanmean: 1.115284 2021-02-05 00:55:38.895: INFO @log_variables: train age_loss mean: 8.465900 2021-02-05 00:55:38.895: INFO @log_variables: train gender_loss mean: 0.239818 2021-02-05 00:55:38.895: INFO @log_variables: train age_mae mean: 7.913580 2021-02-05 00:55:38.895: INFO @log_variables: train gender_accuracy mean: 0.902409 2021-02-05 00:55:38.895: INFO @log_variables: train gender_confidence/loss nanmean: 0.067367 2021-02-05 00:55:38.895: INFO @log_variables: train gender_confidence/accuracy mean: 0.798524 2021-02-05 00:55:38.895: INFO @log_variables: train age_confidence/loss mean: 0.060273 2021-02-05 00:55:38.895: INFO @log_variables: train age_confidence/accuracy mean: 0.659698 2021-02-05 00:55:38.895: INFO @log_variables: valid loss nanmean: 1.193898 2021-02-05 00:55:38.895: INFO @log_variables: valid age_loss mean: 8.843715 2021-02-05 00:55:38.895: INFO @log_variables: valid gender_loss mean: 0.279138 2021-02-05 00:55:38.895: INFO @log_variables: valid age_mae mean: 8.268167 2021-02-05 00:55:38.895: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:55:38.895: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073414 2021-02-05 00:55:38.895: INFO @log_variables: valid gender_confidence/accuracy mean: 0.853487 2021-02-05 00:55:38.895: INFO @log_variables: valid age_confidence/loss mean: 0.062748 2021-02-05 00:55:38.896: INFO @log_variables: valid age_confidence/accuracy mean: 0.633467 2021-02-05 00:55:38.896: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:55:38.897: INFO @metrics_hook: train age_mae: 7.914 +-0.140 (13823) 2021-02-05 00:55:38.899: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13823) 2021-02-05 00:55:40.319: INFO @metrics_hook: valid age_mae: 8.268 +-0.265 (3986) 2021-02-05 00:55:40.319: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:55:41.670: INFO @decay_lr : LR updated to `4.9614297e-05` 2021-02-05 00:55:41.671: INFO @log_profile : T train: 12.646019 2021-02-05 00:55:41.671: INFO @log_profile : T valid: 1.594092 2021-02-05 00:55:41.671: INFO @log_profile : T read data: 0.394461 2021-02-05 00:55:41.671: INFO @log_profile : T hooks: 3.357623 2021-02-05 00:55:41.671: INFO @main_loop : Epoch 359 done 2021-02-05 00:55:41.671: INFO @main_loop : Training epoch 360 2021-02-05 00:55:57.628: INFO @log_variables: train loss nanmean: 1.113863 2021-02-05 00:55:57.628: INFO @log_variables: train age_loss mean: 8.397792 2021-02-05 00:55:57.628: INFO @log_variables: train gender_loss mean: 0.247123 2021-02-05 00:55:57.628: INFO @log_variables: train age_mae mean: 7.845926 2021-02-05 00:55:57.628: INFO @log_variables: train gender_accuracy mean: 0.897425 2021-02-05 00:55:57.628: INFO @log_variables: train gender_confidence/loss nanmean: 0.065598 2021-02-05 00:55:57.628: INFO @log_variables: train gender_confidence/accuracy mean: 0.802807 2021-02-05 00:55:57.628: INFO @log_variables: train age_confidence/loss mean: 0.060172 2021-02-05 00:55:57.628: INFO @log_variables: train age_confidence/accuracy mean: 0.664062 2021-02-05 00:55:57.628: INFO @log_variables: valid loss nanmean: 1.186720 2021-02-05 00:55:57.628: INFO @log_variables: valid age_loss mean: 8.791763 2021-02-05 00:55:57.629: INFO @log_variables: valid gender_loss mean: 0.276745 2021-02-05 00:55:57.629: INFO @log_variables: valid age_mae mean: 8.217566 2021-02-05 00:55:57.629: INFO @log_variables: valid gender_accuracy mean: 0.887857 2021-02-05 00:55:57.629: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072955 2021-02-05 00:55:57.629: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848971 2021-02-05 00:55:57.629: INFO @log_variables: valid age_confidence/loss mean: 0.062928 2021-02-05 00:55:57.629: INFO @log_variables: valid age_confidence/accuracy mean: 0.627446 2021-02-05 00:55:57.629: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:55:57.631: INFO @metrics_hook: train age_mae: 7.846 +-0.138 (13824) 2021-02-05 00:55:57.633: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 00:55:59.019: INFO @metrics_hook: valid age_mae: 8.218 +-0.265 (3986) 2021-02-05 00:55:59.019: INFO @metrics_hook: valid gender_accuracy: 0.888 +-0.010 (3986) 2021-02-05 00:56:00.250: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:56:00.250: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:56:00.250: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.46 +- 0.18 2021-02-05 00:56:00.251: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:56:00.328: INFO @evaluate_confidence: Previous accuracy would be: 89.74 2021-02-05 00:56:00.328: INFO @evaluate_confidence: Possible optimal thresholds are: [0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 00:56:00.333: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.41, 94.57, 94.65, 94.8, 94.95, 95.12, 95.28, 95.37, 95.55, 95.7, 95.86, 96.09, 96.26, 96.37, 96.58, 96.71, 96.8, 96.93, 97.02, 97.16, 97.33, 97.49, 97.57, 97.72, 97.78, 97.91, 98.0, 98.13, 98.24] 2021-02-05 00:56:00.333: INFO @evaluate_confidence: Dropped ratios are: [18.54, 19.49, 20.29, 21.2, 22.11, 22.99, 23.95, 24.97, 25.96, 27.03, 27.94, 28.94, 29.87, 30.9, 31.85, 32.89, 33.9, 34.89, 35.84, 36.84, 37.74, 38.64, 39.6, 40.65, 41.64, 42.66, 43.63, 44.82, 45.83] 2021-02-05 00:56:00.339: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:56:00.339: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:56:00.339: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:56:00.339: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:56:00.431: INFO @evaluate_confidence: Previous accuracy would be: 47.94 2021-02-05 00:56:00.431: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:56:00.435: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.27, 62.68, 63.74, 64.83, 65.75, 66.94, 67.93, 69.04, 70.2, 71.15, 72.12, 72.99, 74.05, 75.07, 76.23] 2021-02-05 00:56:00.435: INFO @evaluate_confidence: Dropped ratios are: [47.59, 50.35, 52.71, 55.11, 57.1, 59.11, 60.98, 62.77, 64.51, 66.12, 67.56, 68.96, 70.31, 71.54, 72.82] 2021-02-05 00:56:00.436: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:56:00.436: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:56:00.436: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:56:00.437: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:56:00.514: INFO @evaluate_confidence: Previous accuracy would be: 88.79 2021-02-05 00:56:00.514: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:56:00.516: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.68, 93.7, 93.94, 94.1, 94.38, 94.55, 94.76, 94.91, 95.13, 95.3, 95.54, 95.71, 95.93, 96.08, 96.28, 96.33, 96.45, 96.58, 96.86, 97.01, 97.02, 97.11, 97.16, 97.19, 97.27, 97.35] 2021-02-05 00:56:00.516: INFO @evaluate_confidence: Dropped ratios are: [18.16, 18.72, 19.29, 20.12, 21.02, 21.8, 22.38, 23.08, 23.78, 24.66, 25.74, 26.84, 27.85, 28.9, 29.88, 31.03, 32.09, 33.22, 34.5, 35.45, 36.9, 38.28, 39.04, 40.14, 41.12, 42.27] 2021-02-05 00:56:00.517: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:56:00.517: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.52 +- 0.19 2021-02-05 00:56:00.517: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.12 2021-02-05 00:56:00.518: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:56:00.601: INFO @evaluate_confidence: Previous accuracy would be: 45.18 2021-02-05 00:56:00.601: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51] 2021-02-05 00:56:00.602: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.95, 57.27, 58.14, 58.76, 59.54, 60.74, 61.62, 62.55, 63.72, 64.94] 2021-02-05 00:56:00.602: INFO @evaluate_confidence: Dropped ratios are: [50.0, 53.74, 57.02, 60.21, 62.79, 65.55, 67.19, 69.32, 71.1, 72.96] 2021-02-05 00:56:00.612: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:56:01.016: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:01.089: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:56:01.413: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:01.485: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:56:01.891: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:01.948: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:56:01.949: INFO @evaluate_gender-age_model: groups 0 4.421593 1 8.499215 2 8.380567 3 7.834709 4 8.817278 5 9.018632 6 8.310712 7 7.041919 Name: errors, dtype: float64 2021-02-05 00:56:01.949: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:56:02.234: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:02.296: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:56:02.297: INFO @evaluate_gender-age_model: groups 0 5.945064 1 7.895956 2 7.753990 3 7.203138 4 8.647298 5 9.638872 6 9.425634 7 8.356626 Name: errors, dtype: float64 2021-02-05 00:56:02.404: INFO @decay_lr : LR updated to `4.9366226e-05` 2021-02-05 00:56:02.405: INFO @log_profile : T train: 12.802909 2021-02-05 00:56:02.405: INFO @log_profile : T valid: 1.556027 2021-02-05 00:56:02.405: INFO @log_profile : T read data: 0.398395 2021-02-05 00:56:02.405: INFO @log_profile : T hooks: 5.929262 2021-02-05 00:56:02.405: INFO @main_loop : Epoch 360 done 2021-02-05 00:56:02.405: INFO @main_loop : Training epoch 361 2021-02-05 00:56:17.971: INFO @log_variables: train loss nanmean: 1.103235 2021-02-05 00:56:17.972: INFO @log_variables: train age_loss mean: 8.346414 2021-02-05 00:56:17.974: INFO @log_variables: train gender_loss mean: 0.240773 2021-02-05 00:56:17.974: INFO @log_variables: train age_mae mean: 7.799194 2021-02-05 00:56:17.974: INFO @log_variables: train gender_accuracy mean: 0.900847 2021-02-05 00:56:17.974: INFO @log_variables: train gender_confidence/loss nanmean: 0.065464 2021-02-05 00:56:17.974: INFO @log_variables: train gender_confidence/accuracy mean: 0.803505 2021-02-05 00:56:17.974: INFO @log_variables: train age_confidence/loss mean: 0.060122 2021-02-05 00:56:17.974: INFO @log_variables: train age_confidence/accuracy mean: 0.662925 2021-02-05 00:56:17.974: INFO @log_variables: valid loss nanmean: 1.192340 2021-02-05 00:56:17.974: INFO @log_variables: valid age_loss mean: 8.845381 2021-02-05 00:56:17.974: INFO @log_variables: valid gender_loss mean: 0.275840 2021-02-05 00:56:17.974: INFO @log_variables: valid age_mae mean: 8.267967 2021-02-05 00:56:17.974: INFO @log_variables: valid gender_accuracy mean: 0.891119 2021-02-05 00:56:17.974: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073508 2021-02-05 00:56:17.974: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846964 2021-02-05 00:56:17.974: INFO @log_variables: valid age_confidence/loss mean: 0.063942 2021-02-05 00:56:17.974: INFO @log_variables: valid age_confidence/accuracy mean: 0.623934 2021-02-05 00:56:17.975: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:56:17.976: INFO @metrics_hook: train age_mae: 7.799 +-0.137 (13807) 2021-02-05 00:56:17.978: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13807) 2021-02-05 00:56:19.416: INFO @metrics_hook: valid age_mae: 8.268 +-0.271 (3986) 2021-02-05 00:56:19.417: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:56:20.769: INFO @decay_lr : LR updated to `4.9119397e-05` 2021-02-05 00:56:20.770: INFO @log_profile : T train: 12.810331 2021-02-05 00:56:20.770: INFO @log_profile : T valid: 1.604773 2021-02-05 00:56:20.770: INFO @log_profile : T read data: 0.514031 2021-02-05 00:56:20.770: INFO @log_profile : T hooks: 3.387480 2021-02-05 00:56:20.770: INFO @main_loop : Epoch 361 done 2021-02-05 00:56:20.770: INFO @main_loop : Training epoch 362 2021-02-05 00:56:36.373: INFO @log_variables: train loss nanmean: 1.113081 2021-02-05 00:56:36.373: INFO @log_variables: train age_loss mean: 8.394428 2021-02-05 00:56:36.373: INFO @log_variables: train gender_loss mean: 0.244009 2021-02-05 00:56:36.374: INFO @log_variables: train age_mae mean: 7.846551 2021-02-05 00:56:36.374: INFO @log_variables: train gender_accuracy mean: 0.899812 2021-02-05 00:56:36.374: INFO @log_variables: train gender_confidence/loss nanmean: 0.068113 2021-02-05 00:56:36.374: INFO @log_variables: train gender_confidence/accuracy mean: 0.800709 2021-02-05 00:56:36.374: INFO @log_variables: train age_confidence/loss mean: 0.060012 2021-02-05 00:56:36.374: INFO @log_variables: train age_confidence/accuracy mean: 0.665799 2021-02-05 00:56:36.374: INFO @log_variables: valid loss nanmean: 1.198824 2021-02-05 00:56:36.374: INFO @log_variables: valid age_loss mean: 8.828760 2021-02-05 00:56:36.374: INFO @log_variables: valid gender_loss mean: 0.283163 2021-02-05 00:56:36.374: INFO @log_variables: valid age_mae mean: 8.249122 2021-02-05 00:56:36.374: INFO @log_variables: valid gender_accuracy mean: 0.886603 2021-02-05 00:56:36.374: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074547 2021-02-05 00:56:36.374: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841947 2021-02-05 00:56:36.374: INFO @log_variables: valid age_confidence/loss mean: 0.064242 2021-02-05 00:56:36.374: INFO @log_variables: valid age_confidence/accuracy mean: 0.623934 2021-02-05 00:56:36.374: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:56:36.376: INFO @metrics_hook: train age_mae: 7.847 +-0.139 (13824) 2021-02-05 00:56:36.378: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13824) 2021-02-05 00:56:37.811: INFO @metrics_hook: valid age_mae: 8.249 +-0.273 (3986) 2021-02-05 00:56:37.811: INFO @metrics_hook: valid gender_accuracy: 0.887 +-0.010 (3986) 2021-02-05 00:56:39.057: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:56:39.057: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:56:39.057: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 00:56:39.057: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:56:39.133: INFO @evaluate_confidence: Previous accuracy would be: 89.98 2021-02-05 00:56:39.134: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:56:39.139: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.58, 94.71, 94.84, 95.05, 95.2, 95.27, 95.41, 95.49, 95.57, 95.72, 95.86, 95.95, 96.11, 96.19, 96.27, 96.46, 96.64, 96.78, 96.9, 97.1, 97.2, 97.35, 97.5, 97.59, 97.62, 97.71, 97.76, 97.83, 97.92] 2021-02-05 00:56:39.139: INFO @evaluate_confidence: Dropped ratios are: [19.75, 20.57, 21.46, 22.25, 23.13, 24.22, 25.09, 26.02, 26.86, 27.86, 28.73, 29.7, 30.74, 31.63, 32.7, 33.58, 34.63, 35.53, 36.57, 37.63, 38.54, 39.62, 40.64, 41.54, 42.51, 43.45, 44.49, 45.54, 46.74] 2021-02-05 00:56:39.145: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:56:39.145: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.22 2021-02-05 00:56:39.145: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:56:39.145: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:56:39.240: INFO @evaluate_confidence: Previous accuracy would be: 48.53 2021-02-05 00:56:39.240: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:56:39.244: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.85, 64.15, 65.26, 66.38, 67.37, 68.26, 69.24, 70.09, 71.49, 72.6, 73.57, 74.38, 75.06, 76.1, 76.76, 77.59] 2021-02-05 00:56:39.244: INFO @evaluate_confidence: Dropped ratios are: [48.31, 50.86, 53.38, 55.58, 57.76, 59.64, 61.18, 62.95, 64.84, 66.41, 67.73, 68.97, 70.38, 71.64, 72.89, 74.07] 2021-02-05 00:56:39.246: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:56:39.246: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:56:39.246: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:56:39.246: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:56:39.321: INFO @evaluate_confidence: Previous accuracy would be: 88.66 2021-02-05 00:56:39.322: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:56:39.323: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.62, 93.88, 94.0, 94.22, 94.36, 94.56, 94.93, 95.01, 95.19, 95.34, 95.55, 95.66, 95.83, 96.09, 96.19, 96.21, 96.17, 96.44, 96.61, 96.83, 96.94, 97.17, 97.31, 97.39, 97.38, 97.66] 2021-02-05 00:56:39.323: INFO @evaluate_confidence: Dropped ratios are: [18.64, 19.29, 20.12, 21.02, 21.73, 22.48, 23.36, 24.13, 24.96, 25.72, 26.69, 27.8, 28.93, 30.13, 30.86, 31.79, 32.54, 33.77, 34.82, 35.8, 36.88, 38.01, 39.41, 40.39, 41.6, 43.23] 2021-02-05 00:56:39.325: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:56:39.325: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 00:56:39.325: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:56:39.325: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.17 2021-02-05 00:56:39.419: INFO @evaluate_confidence: Previous accuracy would be: 46.56 2021-02-05 00:56:39.419: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:56:39.420: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [58.16, 59.22, 60.08, 60.68, 61.53, 62.35, 63.37, 64.31, 65.18, 65.93, 66.88] 2021-02-05 00:56:39.420: INFO @evaluate_confidence: Dropped ratios are: [52.63, 55.39, 58.08, 60.76, 63.02, 64.95, 66.51, 68.09, 70.17, 71.58, 72.96] 2021-02-05 00:56:39.429: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:56:39.819: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:39.882: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:56:40.165: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:56:40.330: INFO @decay_lr : LR updated to `4.88738e-05` 2021-02-05 00:56:40.331: INFO @log_profile : T train: 12.918893 2021-02-05 00:56:40.331: INFO @log_profile : T valid: 1.644605 2021-02-05 00:56:40.331: INFO @log_profile : T read data: 0.393036 2021-02-05 00:56:40.331: INFO @log_profile : T hooks: 4.556294 2021-02-05 00:56:40.331: INFO @main_loop : Epoch 362 done 2021-02-05 00:56:40.331: INFO @main_loop : Training epoch 363 2021-02-05 00:56:55.679: INFO @log_variables: train loss nanmean: 1.118991 2021-02-05 00:56:55.679: INFO @log_variables: train age_loss mean: 8.474968 2021-02-05 00:56:55.679: INFO @log_variables: train gender_loss mean: 0.245974 2021-02-05 00:56:55.679: INFO @log_variables: train age_mae mean: 7.920653 2021-02-05 00:56:55.679: INFO @log_variables: train gender_accuracy mean: 0.896774 2021-02-05 00:56:55.679: INFO @log_variables: train gender_confidence/loss nanmean: 0.065735 2021-02-05 00:56:55.679: INFO @log_variables: train gender_confidence/accuracy mean: 0.797164 2021-02-05 00:56:55.679: INFO @log_variables: train age_confidence/loss mean: 0.059191 2021-02-05 00:56:55.679: INFO @log_variables: train age_confidence/accuracy mean: 0.665292 2021-02-05 00:56:55.679: INFO @log_variables: valid loss nanmean: 1.196810 2021-02-05 00:56:55.679: INFO @log_variables: valid age_loss mean: 8.887840 2021-02-05 00:56:55.679: INFO @log_variables: valid gender_loss mean: 0.277174 2021-02-05 00:56:55.679: INFO @log_variables: valid age_mae mean: 8.310012 2021-02-05 00:56:55.679: INFO @log_variables: valid gender_accuracy mean: 0.891621 2021-02-05 00:56:55.679: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074303 2021-02-05 00:56:55.680: INFO @log_variables: valid gender_confidence/accuracy mean: 0.839940 2021-02-05 00:56:55.680: INFO @log_variables: valid age_confidence/loss mean: 0.062546 2021-02-05 00:56:55.680: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 00:56:55.680: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:56:55.682: INFO @metrics_hook: train age_mae: 7.921 +-0.137 (13824) 2021-02-05 00:56:55.683: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 00:56:57.145: INFO @metrics_hook: valid age_mae: 8.310 +-0.271 (3986) 2021-02-05 00:56:57.145: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:56:58.591: INFO @decay_lr : LR updated to `4.862943e-05` 2021-02-05 00:56:58.592: INFO @log_profile : T train: 12.763032 2021-02-05 00:56:58.592: INFO @log_profile : T valid: 1.545660 2021-02-05 00:56:58.592: INFO @log_profile : T read data: 0.390958 2021-02-05 00:56:58.592: INFO @log_profile : T hooks: 3.516439 2021-02-05 00:56:58.592: INFO @main_loop : Epoch 363 done 2021-02-05 00:56:58.592: INFO @main_loop : Training epoch 364 2021-02-05 00:57:14.200: INFO @log_variables: train loss nanmean: 1.097265 2021-02-05 00:57:14.200: INFO @log_variables: train age_loss mean: 8.331871 2021-02-05 00:57:14.200: INFO @log_variables: train gender_loss mean: 0.234778 2021-02-05 00:57:14.200: INFO @log_variables: train age_mae mean: 7.782636 2021-02-05 00:57:14.200: INFO @log_variables: train gender_accuracy mean: 0.904396 2021-02-05 00:57:14.200: INFO @log_variables: train gender_confidence/loss nanmean: 0.066296 2021-02-05 00:57:14.200: INFO @log_variables: train gender_confidence/accuracy mean: 0.803071 2021-02-05 00:57:14.200: INFO @log_variables: train age_confidence/loss mean: 0.060092 2021-02-05 00:57:14.201: INFO @log_variables: train age_confidence/accuracy mean: 0.662345 2021-02-05 00:57:14.201: INFO @log_variables: valid loss nanmean: 1.191847 2021-02-05 00:57:14.201: INFO @log_variables: valid age_loss mean: 8.829247 2021-02-05 00:57:14.201: INFO @log_variables: valid gender_loss mean: 0.277202 2021-02-05 00:57:14.201: INFO @log_variables: valid age_mae mean: 8.253173 2021-02-05 00:57:14.201: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 00:57:14.201: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074030 2021-02-05 00:57:14.201: INFO @log_variables: valid gender_confidence/accuracy mean: 0.843954 2021-02-05 00:57:14.201: INFO @log_variables: valid age_confidence/loss mean: 0.063156 2021-02-05 00:57:14.201: INFO @log_variables: valid age_confidence/accuracy mean: 0.630708 2021-02-05 00:57:14.201: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:57:14.203: INFO @metrics_hook: train age_mae: 7.783 +-0.138 (13807) 2021-02-05 00:57:14.204: INFO @metrics_hook: train gender_accuracy: 0.904 +-0.005 (13807) 2021-02-05 00:57:15.622: INFO @metrics_hook: valid age_mae: 8.253 +-0.269 (3986) 2021-02-05 00:57:15.623: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 00:57:16.902: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:57:16.903: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.22 2021-02-05 00:57:16.903: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:57:16.903: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:57:16.980: INFO @evaluate_confidence: Previous accuracy would be: 90.44 2021-02-05 00:57:16.981: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:57:16.986: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.86, 94.98, 95.18, 95.3, 95.45, 95.58, 95.72, 95.85, 95.94, 96.04, 96.18, 96.37, 96.56, 96.64, 96.8, 96.93, 97.08, 97.21, 97.3, 97.41, 97.49, 97.53, 97.65, 97.67, 97.75, 97.95, 98.13, 98.2, 98.32] 2021-02-05 00:57:16.986: INFO @evaluate_confidence: Dropped ratios are: [19.15, 20.02, 21.04, 21.91, 22.79, 23.76, 24.68, 25.57, 26.49, 27.43, 28.47, 29.53, 30.44, 31.34, 32.39, 33.34, 34.42, 35.39, 36.38, 37.46, 38.51, 39.35, 40.32, 41.46, 42.46, 43.56, 44.67, 45.75, 46.84] 2021-02-05 00:57:16.992: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:57:16.993: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:57:16.993: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:57:16.993: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:57:17.088: INFO @evaluate_confidence: Previous accuracy would be: 48.21 2021-02-05 00:57:17.088: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:57:17.092: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.71, 62.81, 64.06, 65.23, 66.53, 67.35, 68.4, 69.43, 70.26, 70.9, 71.95, 72.93, 73.9, 75.05, 75.65, 76.49] 2021-02-05 00:57:17.092: INFO @evaluate_confidence: Dropped ratios are: [47.54, 50.11, 52.74, 55.11, 57.38, 59.23, 61.04, 62.69, 64.34, 65.81, 67.21, 68.48, 69.81, 71.12, 72.31, 73.33] 2021-02-05 00:57:17.094: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:57:17.094: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:57:17.094: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 00:57:17.094: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:57:17.169: INFO @evaluate_confidence: Previous accuracy would be: 89.44 2021-02-05 00:57:17.169: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:57:17.171: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.09, 94.16, 94.36, 94.48, 94.65, 94.76, 95.05, 95.22, 95.37, 95.57, 95.84, 95.96, 96.13, 96.23, 96.31, 96.55, 96.69, 96.83, 96.94, 97.0, 97.1, 97.34, 97.37, 97.45, 97.44, 97.57] 2021-02-05 00:57:17.171: INFO @evaluate_confidence: Dropped ratios are: [18.11, 18.79, 19.54, 20.45, 21.22, 22.03, 22.93, 23.83, 24.69, 25.84, 26.94, 28.02, 28.68, 29.55, 30.71, 31.69, 32.56, 33.47, 34.47, 35.67, 36.78, 37.81, 38.89, 39.89, 41.09, 42.22] 2021-02-05 00:57:17.173: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:57:17.173: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:57:17.173: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:57:17.173: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:57:17.258: INFO @evaluate_confidence: Previous accuracy would be: 45.94 2021-02-05 00:57:17.258: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:57:17.259: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.16, 58.29, 59.5, 60.16, 60.98, 62.29, 63.01, 64.28, 65.21, 65.84] 2021-02-05 00:57:17.259: INFO @evaluate_confidence: Dropped ratios are: [50.75, 53.69, 56.82, 59.51, 62.07, 64.48, 66.36, 68.46, 70.07, 71.73] 2021-02-05 00:57:17.269: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:57:17.664: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:57:17.728: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:57:18.029: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:57:18.206: INFO @decay_lr : LR updated to `4.8386282e-05` 2021-02-05 00:57:18.207: INFO @log_profile : T train: 12.895893 2021-02-05 00:57:18.207: INFO @log_profile : T valid: 1.575014 2021-02-05 00:57:18.207: INFO @log_profile : T read data: 0.505431 2021-02-05 00:57:18.207: INFO @log_profile : T hooks: 4.590389 2021-02-05 00:57:18.207: INFO @main_loop : Epoch 364 done 2021-02-05 00:57:18.207: INFO @main_loop : Training epoch 365 2021-02-05 00:57:33.803: INFO @log_variables: train loss nanmean: 1.129884 2021-02-05 00:57:33.803: INFO @log_variables: train age_loss mean: 8.569711 2021-02-05 00:57:33.803: INFO @log_variables: train gender_loss mean: 0.246202 2021-02-05 00:57:33.803: INFO @log_variables: train age_mae mean: 8.016289 2021-02-05 00:57:33.803: INFO @log_variables: train gender_accuracy mean: 0.895906 2021-02-05 00:57:33.803: INFO @log_variables: train gender_confidence/loss nanmean: 0.067222 2021-02-05 00:57:33.803: INFO @log_variables: train gender_confidence/accuracy mean: 0.794416 2021-02-05 00:57:33.803: INFO @log_variables: train age_confidence/loss mean: 0.059777 2021-02-05 00:57:33.803: INFO @log_variables: train age_confidence/accuracy mean: 0.667969 2021-02-05 00:57:33.803: INFO @log_variables: valid loss nanmean: 1.192264 2021-02-05 00:57:33.803: INFO @log_variables: valid age_loss mean: 8.819950 2021-02-05 00:57:33.803: INFO @log_variables: valid gender_loss mean: 0.279460 2021-02-05 00:57:33.803: INFO @log_variables: valid age_mae mean: 8.245118 2021-02-05 00:57:33.803: INFO @log_variables: valid gender_accuracy mean: 0.889112 2021-02-05 00:57:33.803: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072589 2021-02-05 00:57:33.804: INFO @log_variables: valid gender_confidence/accuracy mean: 0.854491 2021-02-05 00:57:33.804: INFO @log_variables: valid age_confidence/loss mean: 0.063806 2021-02-05 00:57:33.804: INFO @log_variables: valid age_confidence/accuracy mean: 0.625439 2021-02-05 00:57:33.804: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:57:33.805: INFO @metrics_hook: train age_mae: 8.016 +-0.142 (13824) 2021-02-05 00:57:33.807: INFO @metrics_hook: train gender_accuracy: 0.896 +-0.005 (13824) 2021-02-05 00:57:35.202: INFO @metrics_hook: valid age_mae: 8.245 +-0.267 (3986) 2021-02-05 00:57:35.202: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:57:36.544: INFO @decay_lr : LR updated to `4.814435e-05` 2021-02-05 00:57:36.545: INFO @log_profile : T train: 12.971671 2021-02-05 00:57:36.545: INFO @log_profile : T valid: 1.571601 2021-02-05 00:57:36.545: INFO @log_profile : T read data: 0.401722 2021-02-05 00:57:36.545: INFO @log_profile : T hooks: 3.344101 2021-02-05 00:57:36.545: INFO @main_loop : Epoch 365 done 2021-02-05 00:57:36.545: INFO @main_loop : Training epoch 366 2021-02-05 00:57:51.550: INFO @log_variables: train loss nanmean: 1.114793 2021-02-05 00:57:51.550: INFO @log_variables: train age_loss mean: 8.474976 2021-02-05 00:57:51.550: INFO @log_variables: train gender_loss mean: 0.239461 2021-02-05 00:57:51.550: INFO @log_variables: train age_mae mean: 7.921849 2021-02-05 00:57:51.550: INFO @log_variables: train gender_accuracy mean: 0.902054 2021-02-05 00:57:51.550: INFO @log_variables: train gender_confidence/loss nanmean: 0.066129 2021-02-05 00:57:51.550: INFO @log_variables: train gender_confidence/accuracy mean: 0.803892 2021-02-05 00:57:51.550: INFO @log_variables: train age_confidence/loss mean: 0.060520 2021-02-05 00:57:51.550: INFO @log_variables: train age_confidence/accuracy mean: 0.664714 2021-02-05 00:57:51.551: INFO @log_variables: valid loss nanmean: 1.193209 2021-02-05 00:57:51.551: INFO @log_variables: valid age_loss mean: 8.796906 2021-02-05 00:57:51.551: INFO @log_variables: valid gender_loss mean: 0.280312 2021-02-05 00:57:51.551: INFO @log_variables: valid age_mae mean: 8.225165 2021-02-05 00:57:51.551: INFO @log_variables: valid gender_accuracy mean: 0.891370 2021-02-05 00:57:51.551: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076165 2021-02-05 00:57:51.551: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851982 2021-02-05 00:57:51.551: INFO @log_variables: valid age_confidence/loss mean: 0.062497 2021-02-05 00:57:51.551: INFO @log_variables: valid age_confidence/accuracy mean: 0.627948 2021-02-05 00:57:51.551: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:57:51.553: INFO @metrics_hook: train age_mae: 7.922 +-0.139 (13824) 2021-02-05 00:57:51.554: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 00:57:52.917: INFO @metrics_hook: valid age_mae: 8.225 +-0.266 (3986) 2021-02-05 00:57:52.917: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:57:54.139: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:57:54.139: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:57:54.139: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 00:57:54.139: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.24 2021-02-05 00:57:54.226: INFO @evaluate_confidence: Previous accuracy would be: 90.21 2021-02-05 00:57:54.227: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:57:54.233: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.87, 95.04, 95.27, 95.42, 95.59, 95.75, 95.83, 95.94, 96.02, 96.15, 96.27, 96.36, 96.46, 96.61, 96.74, 96.76, 96.86, 96.93, 96.99, 97.11, 97.24, 97.34, 97.41, 97.55, 97.69, 97.79, 97.89, 97.94, 98.12] 2021-02-05 00:57:54.233: INFO @evaluate_confidence: Dropped ratios are: [19.46, 20.41, 21.34, 22.29, 23.29, 24.18, 24.99, 25.81, 26.69, 27.63, 28.53, 29.42, 30.3, 31.37, 32.41, 33.43, 34.4, 35.35, 36.35, 37.28, 38.16, 39.13, 40.03, 40.99, 41.83, 42.94, 43.99, 45.1, 46.17] 2021-02-05 00:57:54.239: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:57:54.239: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:57:54.239: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:57:54.239: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:57:54.334: INFO @evaluate_confidence: Previous accuracy would be: 48.05 2021-02-05 00:57:54.334: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:57:54.338: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.23, 63.23, 64.39, 65.35, 66.6, 67.66, 68.95, 69.83, 70.83, 71.62, 72.59, 73.61, 74.32, 74.97, 75.53] 2021-02-05 00:57:54.338: INFO @evaluate_confidence: Dropped ratios are: [48.94, 51.38, 53.73, 55.82, 58.01, 60.03, 61.82, 63.58, 65.15, 66.53, 67.82, 69.27, 70.53, 71.77, 72.92] 2021-02-05 00:57:54.340: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:57:54.340: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.20 2021-02-05 00:57:54.340: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 00:57:54.340: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 00:57:54.421: INFO @evaluate_confidence: Previous accuracy would be: 89.14 2021-02-05 00:57:54.422: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:57:54.423: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.98, 94.08, 94.32, 94.45, 94.68, 94.86, 95.05, 95.22, 95.35, 95.64, 95.96, 96.05, 96.26, 96.29, 96.42, 96.43, 96.49, 96.67, 96.81, 96.85, 96.92, 97.11, 97.14, 97.25, 97.29] 2021-02-05 00:57:54.423: INFO @evaluate_confidence: Dropped ratios are: [18.69, 19.49, 20.5, 21.4, 22.2, 22.93, 23.96, 24.99, 26.02, 26.92, 27.95, 28.8, 29.58, 30.26, 31.23, 31.89, 32.84, 33.69, 34.65, 35.57, 36.4, 37.51, 38.59, 39.69, 40.79] 2021-02-05 00:57:54.425: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:57:54.425: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:57:54.425: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:57:54.425: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:57:54.507: INFO @evaluate_confidence: Previous accuracy would be: 45.26 2021-02-05 00:57:54.507: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:57:54.508: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.83, 57.48, 58.25, 59.54, 60.24, 61.45, 62.01, 62.87, 63.71, 64.87] 2021-02-05 00:57:54.508: INFO @evaluate_confidence: Dropped ratios are: [50.2, 53.69, 56.5, 59.26, 62.02, 64.27, 66.58, 68.72, 70.35, 72.0] 2021-02-05 00:57:54.518: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:57:54.907: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:57:54.965: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:57:55.245: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:57:55.407: INFO @decay_lr : LR updated to `4.7903628e-05` 2021-02-05 00:57:55.408: INFO @log_profile : T train: 12.435370 2021-02-05 00:57:55.408: INFO @log_profile : T valid: 1.525617 2021-02-05 00:57:55.408: INFO @log_profile : T read data: 0.408885 2021-02-05 00:57:55.408: INFO @log_profile : T hooks: 4.448065 2021-02-05 00:57:55.408: INFO @main_loop : Epoch 366 done 2021-02-05 00:57:55.408: INFO @main_loop : Training epoch 367 2021-02-05 00:58:11.142: INFO @log_variables: train loss nanmean: 1.094620 2021-02-05 00:58:11.142: INFO @log_variables: train age_loss mean: 8.237795 2021-02-05 00:58:11.142: INFO @log_variables: train gender_loss mean: 0.240969 2021-02-05 00:58:11.142: INFO @log_variables: train age_mae mean: 7.692601 2021-02-05 00:58:11.142: INFO @log_variables: train gender_accuracy mean: 0.898747 2021-02-05 00:58:11.142: INFO @log_variables: train gender_confidence/loss nanmean: 0.066407 2021-02-05 00:58:11.142: INFO @log_variables: train gender_confidence/accuracy mean: 0.796190 2021-02-05 00:58:11.142: INFO @log_variables: train age_confidence/loss mean: 0.060261 2021-02-05 00:58:11.142: INFO @log_variables: train age_confidence/accuracy mean: 0.666763 2021-02-05 00:58:11.142: INFO @log_variables: valid loss nanmean: 1.200324 2021-02-05 00:58:11.142: INFO @log_variables: valid age_loss mean: 8.887510 2021-02-05 00:58:11.142: INFO @log_variables: valid gender_loss mean: 0.280795 2021-02-05 00:58:11.142: INFO @log_variables: valid age_mae mean: 8.306970 2021-02-05 00:58:11.142: INFO @log_variables: valid gender_accuracy mean: 0.888610 2021-02-05 00:58:11.143: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073498 2021-02-05 00:58:11.143: INFO @log_variables: valid gender_confidence/accuracy mean: 0.840943 2021-02-05 00:58:11.143: INFO @log_variables: valid age_confidence/loss mean: 0.063602 2021-02-05 00:58:11.143: INFO @log_variables: valid age_confidence/accuracy mean: 0.624686 2021-02-05 00:58:11.143: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:58:11.144: INFO @metrics_hook: train age_mae: 7.693 +-0.134 (13807) 2021-02-05 00:58:11.146: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13807) 2021-02-05 00:58:12.531: INFO @metrics_hook: valid age_mae: 8.307 +-0.272 (3986) 2021-02-05 00:58:12.531: INFO @metrics_hook: valid gender_accuracy: 0.889 +-0.010 (3986) 2021-02-05 00:58:13.845: INFO @decay_lr : LR updated to `4.766411e-05` 2021-02-05 00:58:13.846: INFO @log_profile : T train: 12.978888 2021-02-05 00:58:13.846: INFO @log_profile : T valid: 1.593016 2021-02-05 00:58:13.846: INFO @log_profile : T read data: 0.506073 2021-02-05 00:58:13.846: INFO @log_profile : T hooks: 3.310916 2021-02-05 00:58:13.846: INFO @main_loop : Epoch 367 done 2021-02-05 00:58:13.846: INFO @main_loop : Training epoch 368 2021-02-05 00:58:29.392: INFO @log_variables: train loss nanmean: 1.104430 2021-02-05 00:58:29.392: INFO @log_variables: train age_loss mean: 8.348500 2021-02-05 00:58:29.392: INFO @log_variables: train gender_loss mean: 0.240740 2021-02-05 00:58:29.392: INFO @log_variables: train age_mae mean: 7.798658 2021-02-05 00:58:29.392: INFO @log_variables: train gender_accuracy mean: 0.898727 2021-02-05 00:58:29.392: INFO @log_variables: train gender_confidence/loss nanmean: 0.066066 2021-02-05 00:58:29.392: INFO @log_variables: train gender_confidence/accuracy mean: 0.801505 2021-02-05 00:58:29.393: INFO @log_variables: train age_confidence/loss mean: 0.060555 2021-02-05 00:58:29.393: INFO @log_variables: train age_confidence/accuracy mean: 0.663918 2021-02-05 00:58:29.393: INFO @log_variables: valid loss nanmean: 1.202568 2021-02-05 00:58:29.393: INFO @log_variables: valid age_loss mean: 8.928025 2021-02-05 00:58:29.393: INFO @log_variables: valid gender_loss mean: 0.276047 2021-02-05 00:58:29.393: INFO @log_variables: valid age_mae mean: 8.348421 2021-02-05 00:58:29.393: INFO @log_variables: valid gender_accuracy mean: 0.890617 2021-02-05 00:58:29.393: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075995 2021-02-05 00:58:29.393: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847968 2021-02-05 00:58:29.393: INFO @log_variables: valid age_confidence/loss mean: 0.063983 2021-02-05 00:58:29.393: INFO @log_variables: valid age_confidence/accuracy mean: 0.629202 2021-02-05 00:58:29.393: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:58:29.395: INFO @metrics_hook: train age_mae: 7.799 +-0.139 (13824) 2021-02-05 00:58:29.396: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 00:58:30.798: INFO @metrics_hook: valid age_mae: 8.348 +-0.275 (3986) 2021-02-05 00:58:30.798: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:58:32.008: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:58:32.008: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:58:32.008: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 00:58:32.008: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:58:32.083: INFO @evaluate_confidence: Previous accuracy would be: 89.87 2021-02-05 00:58:32.083: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:58:32.089: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.56, 94.78, 94.95, 95.12, 95.26, 95.46, 95.54, 95.64, 95.73, 95.87, 96.01, 96.13, 96.3, 96.39, 96.48, 96.6, 96.73, 96.86, 97.04, 97.17, 97.25, 97.4, 97.52, 97.59, 97.69, 97.89, 97.95, 98.02, 98.14] 2021-02-05 00:58:32.089: INFO @evaluate_confidence: Dropped ratios are: [19.72, 20.78, 21.61, 22.41, 23.37, 24.21, 25.13, 26.09, 26.86, 27.84, 28.91, 29.75, 30.82, 31.71, 32.65, 33.75, 34.69, 35.5, 36.53, 37.6, 38.46, 39.46, 40.57, 41.68, 42.59, 43.54, 44.52, 45.64, 46.73] 2021-02-05 00:58:32.094: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:58:32.095: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 00:58:32.095: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:58:32.095: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:58:32.188: INFO @evaluate_confidence: Previous accuracy would be: 48.55 2021-02-05 00:58:32.188: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 00:58:32.192: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.66, 63.67, 64.86, 65.73, 66.64, 67.63, 68.65, 69.78, 70.65, 71.32, 72.28, 72.99, 74.02, 74.8, 75.57, 76.45] 2021-02-05 00:58:32.192: INFO @evaluate_confidence: Dropped ratios are: [48.21, 50.51, 52.78, 54.82, 56.83, 58.66, 60.56, 62.25, 63.82, 65.27, 66.85, 68.19, 69.6, 70.83, 71.81, 72.94] 2021-02-05 00:58:32.194: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:58:32.194: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 00:58:32.194: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 00:58:32.194: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 00:58:32.267: INFO @evaluate_confidence: Previous accuracy would be: 89.06 2021-02-05 00:58:32.267: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 00:58:32.268: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.62, 93.78, 94.12, 94.27, 94.57, 94.76, 95.11, 95.19, 95.37, 95.51, 95.69, 95.85, 95.99, 96.22, 96.38, 96.48, 96.58, 96.76, 96.89, 96.92, 97.03, 97.17, 97.36, 97.49, 97.52] 2021-02-05 00:58:32.268: INFO @evaluate_confidence: Dropped ratios are: [18.26, 19.27, 20.2, 21.12, 21.93, 22.88, 24.11, 24.94, 25.74, 26.77, 27.9, 28.6, 29.33, 30.31, 31.33, 32.29, 33.24, 34.17, 35.4, 36.38, 37.58, 38.86, 40.09, 40.97, 42.3] 2021-02-05 00:58:32.270: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:58:32.270: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 00:58:32.270: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.13 2021-02-05 00:58:32.270: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 00:58:32.350: INFO @evaluate_confidence: Previous accuracy would be: 45.68 2021-02-05 00:58:32.350: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:58:32.351: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.65, 57.66, 58.85, 59.84, 61.3, 61.44, 62.5, 63.26, 63.87, 64.82, 65.02, 65.64] 2021-02-05 00:58:32.351: INFO @evaluate_confidence: Dropped ratios are: [50.0, 52.83, 55.92, 58.83, 61.49, 63.82, 65.68, 67.56, 69.24, 70.62, 71.6, 73.06] 2021-02-05 00:58:32.361: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:58:32.727: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:58:32.783: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:58:33.058: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:58:33.212: INFO @decay_lr : LR updated to `4.742579e-05` 2021-02-05 00:58:33.213: INFO @log_profile : T train: 12.927963 2021-02-05 00:58:33.213: INFO @log_profile : T valid: 1.580355 2021-02-05 00:58:33.213: INFO @log_profile : T read data: 0.395987 2021-02-05 00:58:33.213: INFO @log_profile : T hooks: 4.413822 2021-02-05 00:58:33.213: INFO @main_loop : Epoch 368 done 2021-02-05 00:58:33.213: INFO @main_loop : Training epoch 369 2021-02-05 00:58:48.534: INFO @log_variables: train loss nanmean: 1.096898 2021-02-05 00:58:48.535: INFO @log_variables: train age_loss mean: 8.293046 2021-02-05 00:58:48.535: INFO @log_variables: train gender_loss mean: 0.236628 2021-02-05 00:58:48.535: INFO @log_variables: train age_mae mean: 7.745169 2021-02-05 00:58:48.535: INFO @log_variables: train gender_accuracy mean: 0.902344 2021-02-05 00:58:48.535: INFO @log_variables: train gender_confidence/loss nanmean: 0.067296 2021-02-05 00:58:48.535: INFO @log_variables: train gender_confidence/accuracy mean: 0.798249 2021-02-05 00:58:48.535: INFO @log_variables: train age_confidence/loss mean: 0.060573 2021-02-05 00:58:48.535: INFO @log_variables: train age_confidence/accuracy mean: 0.660446 2021-02-05 00:58:48.535: INFO @log_variables: valid loss nanmean: 1.190916 2021-02-05 00:58:48.535: INFO @log_variables: valid age_loss mean: 8.798077 2021-02-05 00:58:48.535: INFO @log_variables: valid gender_loss mean: 0.277963 2021-02-05 00:58:48.535: INFO @log_variables: valid age_mae mean: 8.220636 2021-02-05 00:58:48.535: INFO @log_variables: valid gender_accuracy mean: 0.893126 2021-02-05 00:58:48.535: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075004 2021-02-05 00:58:48.535: INFO @log_variables: valid gender_confidence/accuracy mean: 0.844706 2021-02-05 00:58:48.535: INFO @log_variables: valid age_confidence/loss mean: 0.063393 2021-02-05 00:58:48.535: INFO @log_variables: valid age_confidence/accuracy mean: 0.632715 2021-02-05 00:58:48.535: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:58:48.537: INFO @metrics_hook: train age_mae: 7.745 +-0.137 (13824) 2021-02-05 00:58:48.539: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 00:58:49.980: INFO @metrics_hook: valid age_mae: 8.221 +-0.266 (3986) 2021-02-05 00:58:49.980: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 00:58:51.303: INFO @decay_lr : LR updated to `4.718866e-05` 2021-02-05 00:58:51.304: INFO @log_profile : T train: 12.737934 2021-02-05 00:58:51.304: INFO @log_profile : T valid: 1.580079 2021-02-05 00:58:51.304: INFO @log_profile : T read data: 0.400499 2021-02-05 00:58:51.304: INFO @log_profile : T hooks: 3.325552 2021-02-05 00:58:51.304: INFO @main_loop : Epoch 369 done 2021-02-05 00:58:51.304: INFO @main_loop : Training epoch 370 2021-02-05 00:59:07.486: INFO @log_variables: train loss nanmean: 1.111702 2021-02-05 00:59:07.486: INFO @log_variables: train age_loss mean: 8.345843 2021-02-05 00:59:07.486: INFO @log_variables: train gender_loss mean: 0.247850 2021-02-05 00:59:07.486: INFO @log_variables: train age_mae mean: 7.799404 2021-02-05 00:59:07.486: INFO @log_variables: train gender_accuracy mean: 0.898023 2021-02-05 00:59:07.486: INFO @log_variables: train gender_confidence/loss nanmean: 0.067484 2021-02-05 00:59:07.486: INFO @log_variables: train gender_confidence/accuracy mean: 0.790541 2021-02-05 00:59:07.486: INFO @log_variables: train age_confidence/loss mean: 0.060187 2021-02-05 00:59:07.486: INFO @log_variables: train age_confidence/accuracy mean: 0.664446 2021-02-05 00:59:07.486: INFO @log_variables: valid loss nanmean: 1.194524 2021-02-05 00:59:07.486: INFO @log_variables: valid age_loss mean: 8.846752 2021-02-05 00:59:07.486: INFO @log_variables: valid gender_loss mean: 0.278620 2021-02-05 00:59:07.486: INFO @log_variables: valid age_mae mean: 8.272340 2021-02-05 00:59:07.486: INFO @log_variables: valid gender_accuracy mean: 0.892373 2021-02-05 00:59:07.486: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074595 2021-02-05 00:59:07.486: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847466 2021-02-05 00:59:07.487: INFO @log_variables: valid age_confidence/loss mean: 0.062389 2021-02-05 00:59:07.487: INFO @log_variables: valid age_confidence/accuracy mean: 0.634220 2021-02-05 00:59:07.487: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:59:07.488: INFO @metrics_hook: train age_mae: 7.799 +-0.136 (13807) 2021-02-05 00:59:07.489: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13807) 2021-02-05 00:59:08.896: INFO @metrics_hook: valid age_mae: 8.272 +-0.269 (3986) 2021-02-05 00:59:08.897: INFO @metrics_hook: valid gender_accuracy: 0.892 +-0.010 (3986) 2021-02-05 00:59:10.170: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:59:10.171: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:59:10.171: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 00:59:10.171: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:59:10.248: INFO @evaluate_confidence: Previous accuracy would be: 89.80 2021-02-05 00:59:10.249: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:59:10.254: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.27, 94.44, 94.62, 94.79, 94.91, 95.07, 95.26, 95.46, 95.62, 95.77, 95.91, 96.1, 96.23, 96.37, 96.44, 96.6, 96.78, 96.92, 96.96, 97.04, 97.2, 97.27, 97.41, 97.51, 97.59, 97.72, 97.88, 98.0, 98.06] 2021-02-05 00:59:10.254: INFO @evaluate_confidence: Dropped ratios are: [20.3, 21.32, 22.27, 23.13, 24.01, 24.97, 25.97, 26.88, 27.74, 28.64, 29.75, 30.78, 31.72, 32.51, 33.52, 34.52, 35.53, 36.46, 37.48, 38.49, 39.55, 40.39, 41.51, 42.59, 43.56, 44.62, 45.7, 46.73, 47.69] 2021-02-05 00:59:10.260: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:59:10.260: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:59:10.260: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:59:10.260: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:59:10.355: INFO @evaluate_confidence: Previous accuracy would be: 48.20 2021-02-05 00:59:10.355: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:59:10.358: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.87, 64.11, 65.32, 66.35, 67.11, 68.07, 69.15, 70.11, 70.89, 71.59, 72.43, 73.35, 74.1, 74.94, 75.76] 2021-02-05 00:59:10.359: INFO @evaluate_confidence: Dropped ratios are: [48.5, 51.07, 53.45, 56.03, 58.25, 60.01, 61.71, 63.34, 64.97, 66.3, 67.85, 69.18, 70.58, 71.8, 73.17] 2021-02-05 00:59:10.360: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:59:10.360: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:59:10.360: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:59:10.360: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:59:10.435: INFO @evaluate_confidence: Previous accuracy would be: 89.24 2021-02-05 00:59:10.436: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:59:10.437: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.94, 94.07, 94.29, 94.51, 94.68, 94.98, 95.12, 95.43, 95.7, 95.95, 96.18, 96.23, 96.29, 96.41, 96.46, 96.55, 96.51, 96.62, 96.76, 96.94, 97.08, 97.2, 97.35, 97.44, 97.6] 2021-02-05 00:59:10.437: INFO @evaluate_confidence: Dropped ratios are: [18.46, 19.24, 20.07, 20.92, 21.73, 22.55, 23.38, 24.28, 25.29, 26.34, 27.2, 28.12, 29.0, 30.11, 31.23, 32.36, 33.14, 33.99, 35.02, 36.15, 37.36, 38.23, 39.31, 40.22, 41.47] 2021-02-05 00:59:10.439: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:59:10.439: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.18 2021-02-05 00:59:10.439: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 00:59:10.439: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 00:59:10.520: INFO @evaluate_confidence: Previous accuracy would be: 45.23 2021-02-05 00:59:10.520: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 00:59:10.521: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.91, 58.14, 58.7, 59.89, 60.55, 61.44, 63.11, 64.11, 65.14, 65.83, 66.95] 2021-02-05 00:59:10.521: INFO @evaluate_confidence: Dropped ratios are: [50.98, 53.91, 56.45, 59.03, 61.84, 64.15, 66.81, 68.89, 70.5, 72.1, 73.51] 2021-02-05 00:59:10.531: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:59:10.898: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:10.964: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:59:11.243: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:11.302: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:59:11.663: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:11.721: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:59:11.722: INFO @evaluate_gender-age_model: groups 0 4.628653 1 7.697855 2 8.642444 3 8.232487 4 8.609612 5 9.185962 6 8.125623 7 6.881808 Name: errors, dtype: float64 2021-02-05 00:59:11.722: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:59:11.995: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:12.051: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 00:59:12.052: INFO @evaluate_gender-age_model: groups 0 6.414306 1 7.723773 2 8.101588 3 7.703808 4 9.012628 5 9.551302 6 8.625967 7 7.689046 Name: errors, dtype: float64 2021-02-05 00:59:12.150: INFO @decay_lr : LR updated to `4.6952715e-05` 2021-02-05 00:59:12.151: INFO @log_profile : T train: 12.939055 2021-02-05 00:59:12.151: INFO @log_profile : T valid: 1.592998 2021-02-05 00:59:12.152: INFO @log_profile : T read data: 0.498587 2021-02-05 00:59:12.152: INFO @log_profile : T hooks: 5.768886 2021-02-05 00:59:12.152: INFO @main_loop : Epoch 370 done 2021-02-05 00:59:12.152: INFO @main_loop : Training epoch 371 2021-02-05 00:59:27.773: INFO @log_variables: train loss nanmean: 1.121240 2021-02-05 00:59:27.773: INFO @log_variables: train age_loss mean: 8.502042 2021-02-05 00:59:27.773: INFO @log_variables: train gender_loss mean: 0.244991 2021-02-05 00:59:27.773: INFO @log_variables: train age_mae mean: 7.948608 2021-02-05 00:59:27.773: INFO @log_variables: train gender_accuracy mean: 0.898285 2021-02-05 00:59:27.773: INFO @log_variables: train gender_confidence/loss nanmean: 0.065774 2021-02-05 00:59:27.773: INFO @log_variables: train gender_confidence/accuracy mean: 0.791073 2021-02-05 00:59:27.773: INFO @log_variables: train age_confidence/loss mean: 0.059833 2021-02-05 00:59:27.773: INFO @log_variables: train age_confidence/accuracy mean: 0.664617 2021-02-05 00:59:27.773: INFO @log_variables: valid loss nanmean: 1.203634 2021-02-05 00:59:27.773: INFO @log_variables: valid age_loss mean: 8.875316 2021-02-05 00:59:27.774: INFO @log_variables: valid gender_loss mean: 0.283428 2021-02-05 00:59:27.774: INFO @log_variables: valid age_mae mean: 8.298978 2021-02-05 00:59:27.774: INFO @log_variables: valid gender_accuracy mean: 0.890868 2021-02-05 00:59:27.774: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075915 2021-02-05 00:59:27.774: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850477 2021-02-05 00:59:27.774: INFO @log_variables: valid age_confidence/loss mean: 0.063210 2021-02-05 00:59:27.774: INFO @log_variables: valid age_confidence/accuracy mean: 0.624686 2021-02-05 00:59:27.774: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:59:27.776: INFO @metrics_hook: train age_mae: 7.949 +-0.140 (13823) 2021-02-05 00:59:27.777: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13823) 2021-02-05 00:59:29.257: INFO @metrics_hook: valid age_mae: 8.299 +-0.268 (3986) 2021-02-05 00:59:29.257: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 00:59:30.598: INFO @decay_lr : LR updated to `4.6717953e-05` 2021-02-05 00:59:30.599: INFO @log_profile : T train: 12.961857 2021-02-05 00:59:30.599: INFO @log_profile : T valid: 1.602840 2021-02-05 00:59:30.599: INFO @log_profile : T read data: 0.402103 2021-02-05 00:59:30.599: INFO @log_profile : T hooks: 3.431778 2021-02-05 00:59:30.599: INFO @main_loop : Epoch 371 done 2021-02-05 00:59:30.599: INFO @main_loop : Training epoch 372 2021-02-05 00:59:45.978: INFO @log_variables: train loss nanmean: 1.126349 2021-02-05 00:59:45.979: INFO @log_variables: train age_loss mean: 8.520753 2021-02-05 00:59:45.979: INFO @log_variables: train gender_loss mean: 0.247696 2021-02-05 00:59:45.979: INFO @log_variables: train age_mae mean: 7.969107 2021-02-05 00:59:45.979: INFO @log_variables: train gender_accuracy mean: 0.895182 2021-02-05 00:59:45.979: INFO @log_variables: train gender_confidence/loss nanmean: 0.066468 2021-02-05 00:59:45.979: INFO @log_variables: train gender_confidence/accuracy mean: 0.796441 2021-02-05 00:59:45.979: INFO @log_variables: train age_confidence/loss mean: 0.060088 2021-02-05 00:59:45.979: INFO @log_variables: train age_confidence/accuracy mean: 0.660012 2021-02-05 00:59:45.979: INFO @log_variables: valid loss nanmean: 1.195067 2021-02-05 00:59:45.979: INFO @log_variables: valid age_loss mean: 8.808969 2021-02-05 00:59:45.979: INFO @log_variables: valid gender_loss mean: 0.281181 2021-02-05 00:59:45.979: INFO @log_variables: valid age_mae mean: 8.232770 2021-02-05 00:59:45.979: INFO @log_variables: valid gender_accuracy mean: 0.889614 2021-02-05 00:59:45.979: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074704 2021-02-05 00:59:45.979: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848721 2021-02-05 00:59:45.979: INFO @log_variables: valid age_confidence/loss mean: 0.063928 2021-02-05 00:59:45.979: INFO @log_variables: valid age_confidence/accuracy mean: 0.623683 2021-02-05 00:59:45.979: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 00:59:45.980: INFO @metrics_hook: train age_mae: 7.969 +-0.142 (13824) 2021-02-05 00:59:45.981: INFO @metrics_hook: train gender_accuracy: 0.895 +-0.005 (13824) 2021-02-05 00:59:47.345: INFO @metrics_hook: valid age_mae: 8.233 +-0.267 (3986) 2021-02-05 00:59:47.345: INFO @metrics_hook: valid gender_accuracy: 0.890 +-0.010 (3986) 2021-02-05 00:59:48.594: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:59:48.594: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 00:59:48.594: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.18 2021-02-05 00:59:48.594: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 00:59:48.673: INFO @evaluate_confidence: Previous accuracy would be: 89.52 2021-02-05 00:59:48.673: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 00:59:48.679: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.32, 94.47, 94.7, 94.88, 95.06, 95.23, 95.35, 95.52, 95.7, 95.82, 95.92, 96.07, 96.21, 96.3, 96.41, 96.59, 96.78, 96.92, 97.0, 97.12, 97.29, 97.35, 97.48, 97.55, 97.68, 97.82, 97.96, 98.09, 98.21] 2021-02-05 00:59:48.679: INFO @evaluate_confidence: Dropped ratios are: [20.19, 21.08, 22.03, 22.95, 23.92, 24.86, 25.71, 26.65, 27.55, 28.4, 29.33, 30.24, 31.16, 32.18, 33.09, 34.01, 35.01, 35.97, 36.82, 37.67, 38.66, 39.66, 40.65, 41.54, 42.62, 43.58, 44.65, 45.8, 46.96] 2021-02-05 00:59:48.685: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:59:48.685: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.21 2021-02-05 00:59:48.685: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 00:59:48.685: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 00:59:48.784: INFO @evaluate_confidence: Previous accuracy would be: 47.63 2021-02-05 00:59:48.784: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 00:59:48.788: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [61.49, 62.61, 63.52, 64.49, 65.67, 66.8, 67.62, 68.5, 69.47, 70.56, 71.69, 72.79, 73.89, 74.81, 75.56] 2021-02-05 00:59:48.788: INFO @evaluate_confidence: Dropped ratios are: [48.1, 50.76, 53.2, 55.45, 57.48, 59.58, 61.55, 63.24, 65.0, 66.53, 68.06, 69.64, 71.02, 72.2, 73.39] 2021-02-05 00:59:48.789: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 00:59:48.790: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 00:59:48.790: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 00:59:48.790: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 00:59:48.862: INFO @evaluate_confidence: Previous accuracy would be: 88.96 2021-02-05 00:59:48.863: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 00:59:48.864: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.71, 93.91, 94.01, 94.26, 94.52, 94.6, 94.75, 95.05, 95.11, 95.26, 95.35, 95.62, 95.8, 95.94, 95.99, 96.3, 96.61, 96.63, 96.77, 96.93, 97.03, 97.15, 97.15, 97.14, 97.21] 2021-02-05 00:59:48.864: INFO @evaluate_confidence: Dropped ratios are: [18.62, 19.29, 20.02, 20.87, 21.75, 22.4, 23.11, 24.01, 25.11, 25.94, 26.57, 27.85, 29.0, 30.11, 31.21, 32.16, 33.34, 34.45, 35.45, 36.35, 37.48, 38.33, 39.26, 40.37, 41.62] 2021-02-05 00:59:48.866: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 00:59:48.866: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 00:59:48.866: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 00:59:48.866: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 00:59:48.945: INFO @evaluate_confidence: Previous accuracy would be: 45.94 2021-02-05 00:59:48.946: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 00:59:48.947: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.7, 58.41, 59.69, 60.59, 61.14, 61.78, 62.66, 63.71, 64.36, 65.44] 2021-02-05 00:59:48.947: INFO @evaluate_confidence: Dropped ratios are: [51.96, 55.12, 58.05, 60.34, 62.74, 65.4, 67.69, 69.72, 71.0, 72.7] 2021-02-05 00:59:48.958: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 00:59:49.350: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:49.412: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 00:59:49.684: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 00:59:49.845: INFO @decay_lr : LR updated to `4.648436e-05` 2021-02-05 00:59:49.846: INFO @log_profile : T train: 12.892493 2021-02-05 00:59:49.847: INFO @log_profile : T valid: 1.523824 2021-02-05 00:59:49.847: INFO @log_profile : T read data: 0.395979 2021-02-05 00:59:49.847: INFO @log_profile : T hooks: 4.390708 2021-02-05 00:59:49.847: INFO @main_loop : Epoch 372 done 2021-02-05 00:59:49.847: INFO @main_loop : Training epoch 373 2021-02-05 01:00:05.464: INFO @log_variables: train loss nanmean: 1.108388 2021-02-05 01:00:05.464: INFO @log_variables: train age_loss mean: 8.392255 2021-02-05 01:00:05.464: INFO @log_variables: train gender_loss mean: 0.239905 2021-02-05 01:00:05.464: INFO @log_variables: train age_mae mean: 7.842848 2021-02-05 01:00:05.464: INFO @log_variables: train gender_accuracy mean: 0.901717 2021-02-05 01:00:05.464: INFO @log_variables: train gender_confidence/loss nanmean: 0.066552 2021-02-05 01:00:05.465: INFO @log_variables: train gender_confidence/accuracy mean: 0.794597 2021-02-05 01:00:05.465: INFO @log_variables: train age_confidence/loss mean: 0.060808 2021-02-05 01:00:05.465: INFO @log_variables: train age_confidence/accuracy mean: 0.662562 2021-02-05 01:00:05.465: INFO @log_variables: valid loss nanmean: 1.212893 2021-02-05 01:00:05.465: INFO @log_variables: valid age_loss mean: 8.938546 2021-02-05 01:00:05.465: INFO @log_variables: valid gender_loss mean: 0.283332 2021-02-05 01:00:05.465: INFO @log_variables: valid age_mae mean: 8.360345 2021-02-05 01:00:05.465: INFO @log_variables: valid gender_accuracy mean: 0.894129 2021-02-05 01:00:05.465: INFO @log_variables: valid gender_confidence/loss nanmean: 0.078827 2021-02-05 01:00:05.465: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848971 2021-02-05 01:00:05.465: INFO @log_variables: valid age_confidence/loss mean: 0.063897 2021-02-05 01:00:05.465: INFO @log_variables: valid age_confidence/accuracy mean: 0.627195 2021-02-05 01:00:05.466: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:00:05.468: INFO @metrics_hook: train age_mae: 7.843 +-0.138 (13807) 2021-02-05 01:00:05.470: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13807) 2021-02-05 01:00:07.009: INFO @metrics_hook: valid age_mae: 8.360 +-0.274 (3986) 2021-02-05 01:00:07.010: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:00:08.400: INFO @decay_lr : LR updated to `4.625194e-05` 2021-02-05 01:00:08.401: INFO @log_profile : T train: 12.831686 2021-02-05 01:00:08.401: INFO @log_profile : T valid: 1.623889 2021-02-05 01:00:08.401: INFO @log_profile : T read data: 0.507427 2021-02-05 01:00:08.401: INFO @log_profile : T hooks: 3.542564 2021-02-05 01:00:08.401: INFO @main_loop : Epoch 373 done 2021-02-05 01:00:08.401: INFO @main_loop : Training epoch 374 2021-02-05 01:00:23.343: INFO @log_variables: train loss nanmean: 1.100554 2021-02-05 01:00:23.343: INFO @log_variables: train age_loss mean: 8.231905 2021-02-05 01:00:23.343: INFO @log_variables: train gender_loss mean: 0.244848 2021-02-05 01:00:23.343: INFO @log_variables: train age_mae mean: 7.685939 2021-02-05 01:00:23.343: INFO @log_variables: train gender_accuracy mean: 0.902054 2021-02-05 01:00:23.343: INFO @log_variables: train gender_confidence/loss nanmean: 0.069484 2021-02-05 01:00:23.343: INFO @log_variables: train gender_confidence/accuracy mean: 0.791811 2021-02-05 01:00:23.343: INFO @log_variables: train age_confidence/loss mean: 0.060126 2021-02-05 01:00:23.343: INFO @log_variables: train age_confidence/accuracy mean: 0.666305 2021-02-05 01:00:23.343: INFO @log_variables: valid loss nanmean: 1.198588 2021-02-05 01:00:23.343: INFO @log_variables: valid age_loss mean: 8.848372 2021-02-05 01:00:23.343: INFO @log_variables: valid gender_loss mean: 0.282913 2021-02-05 01:00:23.343: INFO @log_variables: valid age_mae mean: 8.271621 2021-02-05 01:00:23.343: INFO @log_variables: valid gender_accuracy mean: 0.890617 2021-02-05 01:00:23.344: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073973 2021-02-05 01:00:23.344: INFO @log_variables: valid gender_confidence/accuracy mean: 0.842950 2021-02-05 01:00:23.344: INFO @log_variables: valid age_confidence/loss mean: 0.063025 2021-02-05 01:00:23.344: INFO @log_variables: valid age_confidence/accuracy mean: 0.625188 2021-02-05 01:00:23.344: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:00:23.345: INFO @metrics_hook: train age_mae: 7.686 +-0.137 (13824) 2021-02-05 01:00:23.345: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 01:00:24.743: INFO @metrics_hook: valid age_mae: 8.272 +-0.271 (3986) 2021-02-05 01:00:24.743: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 01:00:25.986: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:00:25.986: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:00:25.986: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.48 +- 0.19 2021-02-05 01:00:25.986: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:00:26.062: INFO @evaluate_confidence: Previous accuracy would be: 90.21 2021-02-05 01:00:26.062: INFO @evaluate_confidence: Possible optimal thresholds are: [0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:00:26.068: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.63, 94.81, 94.97, 95.15, 95.3, 95.49, 95.59, 95.74, 95.88, 95.99, 96.09, 96.23, 96.39, 96.53, 96.63, 96.74, 96.83, 96.89, 96.93, 97.06, 97.26, 97.31, 97.39, 97.49, 97.57, 97.74, 97.85, 97.95] 2021-02-05 01:00:26.068: INFO @evaluate_confidence: Dropped ratios are: [20.98, 21.82, 22.86, 23.76, 24.72, 25.51, 26.37, 27.31, 28.18, 29.12, 30.07, 31.08, 31.9, 32.96, 33.87, 34.79, 35.73, 36.68, 37.62, 38.53, 39.6, 40.55, 41.46, 42.47, 43.52, 44.52, 45.6, 46.61] 2021-02-05 01:00:26.074: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:00:26.074: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:00:26.074: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:00:26.074: INFO @evaluate_confidence: Average confidence of all samples 0.50 +- 0.19 2021-02-05 01:00:26.168: INFO @evaluate_confidence: Previous accuracy would be: 48.95 2021-02-05 01:00:26.168: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:00:26.173: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [63.07, 63.98, 65.09, 66.02, 67.14, 68.12, 69.01, 69.91, 70.75, 71.71, 72.54, 73.43, 74.32, 74.85, 75.92, 76.66] 2021-02-05 01:00:26.173: INFO @evaluate_confidence: Dropped ratios are: [46.23, 48.94, 51.21, 53.32, 55.37, 57.41, 59.19, 60.79, 62.46, 63.87, 65.52, 66.89, 68.32, 69.55, 70.83, 71.98] 2021-02-05 01:00:26.174: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:00:26.174: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.20 2021-02-05 01:00:26.174: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.56 +- 0.20 2021-02-05 01:00:26.174: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 01:00:26.245: INFO @evaluate_confidence: Previous accuracy would be: 89.06 2021-02-05 01:00:26.245: INFO @evaluate_confidence: Possible optimal thresholds are: [0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 01:00:26.247: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.67, 93.83, 94.06, 94.16, 94.33, 94.43, 94.61, 94.66, 94.92, 95.14, 95.19, 95.56, 95.72, 95.87, 96.03, 96.06, 96.23, 96.35, 96.59, 96.76, 96.8, 97.03, 97.06, 97.21, 97.32, 97.44] 2021-02-05 01:00:26.247: INFO @evaluate_confidence: Dropped ratios are: [18.69, 19.44, 20.22, 20.92, 21.73, 22.48, 23.23, 23.93, 24.99, 25.69, 26.52, 27.65, 28.55, 29.5, 30.43, 31.28, 32.14, 33.27, 34.5, 35.7, 36.55, 37.51, 38.46, 39.74, 41.12, 42.07] 2021-02-05 01:00:26.249: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:00:26.249: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:00:26.249: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:00:26.249: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:00:26.335: INFO @evaluate_confidence: Previous accuracy would be: 45.81 2021-02-05 01:00:26.335: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:00:26.336: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.67, 58.21, 58.81, 59.82, 60.69, 61.62, 62.73, 62.81, 64.01, 65.0, 66.39, 67.4] 2021-02-05 01:00:26.336: INFO @evaluate_confidence: Dropped ratios are: [50.33, 53.54, 56.15, 58.98, 61.52, 63.72, 65.81, 67.49, 69.19, 70.9, 72.53, 73.91] 2021-02-05 01:00:26.345: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:00:26.756: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:00:26.824: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:00:27.123: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:00:27.292: INFO @decay_lr : LR updated to `4.602068e-05` 2021-02-05 01:00:27.293: INFO @log_profile : T train: 12.521276 2021-02-05 01:00:27.293: INFO @log_profile : T valid: 1.406375 2021-02-05 01:00:27.293: INFO @log_profile : T read data: 0.399824 2021-02-05 01:00:27.293: INFO @log_profile : T hooks: 4.518422 2021-02-05 01:00:27.293: INFO @main_loop : Epoch 374 done 2021-02-05 01:00:27.293: INFO @main_loop : Training epoch 375 2021-02-05 01:00:42.911: INFO @log_variables: train loss nanmean: 1.113235 2021-02-05 01:00:42.911: INFO @log_variables: train age_loss mean: 8.478077 2021-02-05 01:00:42.911: INFO @log_variables: train gender_loss mean: 0.237363 2021-02-05 01:00:42.911: INFO @log_variables: train age_mae mean: 7.924810 2021-02-05 01:00:42.911: INFO @log_variables: train gender_accuracy mean: 0.900992 2021-02-05 01:00:42.911: INFO @log_variables: train gender_confidence/loss nanmean: 0.066590 2021-02-05 01:00:42.911: INFO @log_variables: train gender_confidence/accuracy mean: 0.799450 2021-02-05 01:00:42.911: INFO @log_variables: train age_confidence/loss mean: 0.060126 2021-02-05 01:00:42.912: INFO @log_variables: train age_confidence/accuracy mean: 0.665170 2021-02-05 01:00:42.912: INFO @log_variables: valid loss nanmean: 1.194476 2021-02-05 01:00:42.912: INFO @log_variables: valid age_loss mean: 8.849152 2021-02-05 01:00:42.912: INFO @log_variables: valid gender_loss mean: 0.275890 2021-02-05 01:00:42.912: INFO @log_variables: valid age_mae mean: 8.272470 2021-02-05 01:00:42.912: INFO @log_variables: valid gender_accuracy mean: 0.895133 2021-02-05 01:00:42.912: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075260 2021-02-05 01:00:42.912: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851480 2021-02-05 01:00:42.912: INFO @log_variables: valid age_confidence/loss mean: 0.063938 2021-02-05 01:00:42.912: INFO @log_variables: valid age_confidence/accuracy mean: 0.629955 2021-02-05 01:00:42.912: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:00:42.914: INFO @metrics_hook: train age_mae: 7.925 +-0.139 (13807) 2021-02-05 01:00:42.915: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13807) 2021-02-05 01:00:44.305: INFO @metrics_hook: valid age_mae: 8.272 +-0.270 (3986) 2021-02-05 01:00:44.306: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:00:45.625: INFO @decay_lr : LR updated to `4.5790577e-05` 2021-02-05 01:00:45.626: INFO @log_profile : T train: 12.838904 2021-02-05 01:00:45.626: INFO @log_profile : T valid: 1.624052 2021-02-05 01:00:45.626: INFO @log_profile : T read data: 0.506463 2021-02-05 01:00:45.626: INFO @log_profile : T hooks: 3.315365 2021-02-05 01:00:45.626: INFO @main_loop : Epoch 375 done 2021-02-05 01:00:45.626: INFO @main_loop : Training epoch 376 2021-02-05 01:01:00.517: INFO @log_variables: train loss nanmean: 1.099476 2021-02-05 01:01:00.517: INFO @log_variables: train age_loss mean: 8.278032 2021-02-05 01:01:00.517: INFO @log_variables: train gender_loss mean: 0.242852 2021-02-05 01:01:00.517: INFO @log_variables: train age_mae mean: 7.731793 2021-02-05 01:01:00.517: INFO @log_variables: train gender_accuracy mean: 0.900174 2021-02-05 01:01:00.517: INFO @log_variables: train gender_confidence/loss nanmean: 0.065850 2021-02-05 01:01:00.517: INFO @log_variables: train gender_confidence/accuracy mean: 0.793837 2021-02-05 01:01:00.518: INFO @log_variables: train age_confidence/loss mean: 0.060304 2021-02-05 01:01:00.518: INFO @log_variables: train age_confidence/accuracy mean: 0.667245 2021-02-05 01:01:00.518: INFO @log_variables: valid loss nanmean: 1.195964 2021-02-05 01:01:00.518: INFO @log_variables: valid age_loss mean: 8.891916 2021-02-05 01:01:00.518: INFO @log_variables: valid gender_loss mean: 0.273832 2021-02-05 01:01:00.518: INFO @log_variables: valid age_mae mean: 8.315840 2021-02-05 01:01:00.518: INFO @log_variables: valid gender_accuracy mean: 0.894129 2021-02-05 01:01:00.518: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075539 2021-02-05 01:01:00.518: INFO @log_variables: valid gender_confidence/accuracy mean: 0.852233 2021-02-05 01:01:00.518: INFO @log_variables: valid age_confidence/loss mean: 0.063130 2021-02-05 01:01:00.518: INFO @log_variables: valid age_confidence/accuracy mean: 0.630708 2021-02-05 01:01:00.518: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:01:00.520: INFO @metrics_hook: train age_mae: 7.732 +-0.137 (13824) 2021-02-05 01:01:00.522: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13824) 2021-02-05 01:01:02.001: INFO @metrics_hook: valid age_mae: 8.316 +-0.270 (3986) 2021-02-05 01:01:02.002: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:01:03.341: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:01:03.341: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:01:03.341: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:01:03.341: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:01:03.430: INFO @evaluate_confidence: Previous accuracy would be: 90.02 2021-02-05 01:01:03.430: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:01:03.436: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.68, 94.83, 95.03, 95.19, 95.36, 95.54, 95.67, 95.79, 95.97, 96.08, 96.24, 96.39, 96.57, 96.79, 96.91, 97.01, 97.19, 97.28, 97.37, 97.42, 97.47, 97.53, 97.65, 97.68, 97.75, 97.84, 97.93, 98.03, 98.2] 2021-02-05 01:01:03.436: INFO @evaluate_confidence: Dropped ratios are: [20.28, 21.26, 22.22, 23.21, 24.02, 24.97, 25.84, 26.63, 27.5, 28.31, 29.23, 30.08, 31.09, 32.02, 32.96, 33.9, 34.94, 35.89, 36.74, 37.64, 38.74, 39.7, 40.6, 41.45, 42.4, 43.34, 44.37, 45.31, 46.54] 2021-02-05 01:01:03.442: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:01:03.442: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:01:03.442: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:01:03.442: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:01:03.546: INFO @evaluate_confidence: Previous accuracy would be: 48.54 2021-02-05 01:01:03.547: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:01:03.551: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.23, 63.42, 64.64, 65.86, 66.73, 67.72, 69.0, 70.12, 71.34, 72.38, 73.21, 74.21, 75.13, 76.13, 76.83, 77.56] 2021-02-05 01:01:03.551: INFO @evaluate_confidence: Dropped ratios are: [47.45, 50.09, 52.45, 54.79, 56.79, 58.83, 60.81, 62.6, 64.24, 65.84, 67.38, 68.72, 69.93, 71.24, 72.4, 73.69] 2021-02-05 01:01:03.552: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:01:03.553: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:01:03.553: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 01:01:03.553: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:01:03.630: INFO @evaluate_confidence: Previous accuracy would be: 89.41 2021-02-05 01:01:03.630: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:01:03.632: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.87, 94.15, 94.37, 94.6, 94.8, 95.06, 95.19, 95.21, 95.32, 95.41, 95.52, 95.67, 95.73, 95.95, 96.14, 96.31, 96.39, 96.56, 96.76, 96.94, 97.05, 97.28, 97.39, 97.42, 97.54] 2021-02-05 01:01:03.632: INFO @evaluate_confidence: Dropped ratios are: [18.51, 19.37, 20.17, 21.05, 21.85, 22.78, 23.41, 24.11, 24.99, 25.69, 26.64, 27.55, 28.35, 29.35, 30.48, 31.41, 32.51, 33.54, 34.9, 36.05, 37.05, 38.31, 39.39, 40.62, 41.8] 2021-02-05 01:01:03.634: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:01:03.634: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 01:01:03.634: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:01:03.634: INFO @evaluate_confidence: Average confidence of all samples 0.47 +- 0.16 2021-02-05 01:01:03.734: INFO @evaluate_confidence: Previous accuracy would be: 45.28 2021-02-05 01:01:03.734: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 01:01:03.736: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.64, 57.67, 58.65, 59.74, 60.8, 61.82, 62.36, 63.59, 64.11, 66.02] 2021-02-05 01:01:03.736: INFO @evaluate_confidence: Dropped ratios are: [51.98, 55.02, 58.08, 60.86, 63.4, 65.63, 67.41, 69.27, 71.2, 72.91] 2021-02-05 01:01:03.745: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:01:04.154: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:01:04.222: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:01:04.532: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:01:04.705: INFO @decay_lr : LR updated to `4.5561625e-05` 2021-02-05 01:01:04.706: INFO @log_profile : T train: 12.368334 2021-02-05 01:01:04.706: INFO @log_profile : T valid: 1.507983 2021-02-05 01:01:04.706: INFO @log_profile : T read data: 0.398631 2021-02-05 01:01:04.706: INFO @log_profile : T hooks: 4.761871 2021-02-05 01:01:04.706: INFO @main_loop : Epoch 376 done 2021-02-05 01:01:04.706: INFO @main_loop : Training epoch 377 2021-02-05 01:01:19.695: INFO @log_variables: train loss nanmean: 1.117698 2021-02-05 01:01:19.695: INFO @log_variables: train age_loss mean: 8.365792 2021-02-05 01:01:19.697: INFO @log_variables: train gender_loss mean: 0.252158 2021-02-05 01:01:19.697: INFO @log_variables: train age_mae mean: 7.815643 2021-02-05 01:01:19.697: INFO @log_variables: train gender_accuracy mean: 0.896701 2021-02-05 01:01:19.697: INFO @log_variables: train gender_confidence/loss nanmean: 0.067809 2021-02-05 01:01:19.697: INFO @log_variables: train gender_confidence/accuracy mean: 0.796152 2021-02-05 01:01:19.697: INFO @log_variables: train age_confidence/loss mean: 0.060128 2021-02-05 01:01:19.697: INFO @log_variables: train age_confidence/accuracy mean: 0.670501 2021-02-05 01:01:19.697: INFO @log_variables: valid loss nanmean: 1.194547 2021-02-05 01:01:19.697: INFO @log_variables: valid age_loss mean: 8.874629 2021-02-05 01:01:19.698: INFO @log_variables: valid gender_loss mean: 0.277129 2021-02-05 01:01:19.698: INFO @log_variables: valid age_mae mean: 8.298862 2021-02-05 01:01:19.698: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 01:01:19.698: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072233 2021-02-05 01:01:19.698: INFO @log_variables: valid gender_confidence/accuracy mean: 0.841445 2021-02-05 01:01:19.698: INFO @log_variables: valid age_confidence/loss mean: 0.063594 2021-02-05 01:01:19.698: INFO @log_variables: valid age_confidence/accuracy mean: 0.618164 2021-02-05 01:01:19.698: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:01:19.700: INFO @metrics_hook: train age_mae: 7.816 +-0.139 (13824) 2021-02-05 01:01:19.701: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 01:01:21.187: INFO @metrics_hook: valid age_mae: 8.299 +-0.270 (3986) 2021-02-05 01:01:21.187: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:01:22.609: INFO @decay_lr : LR updated to `4.5333818e-05` 2021-02-05 01:01:22.610: INFO @log_profile : T train: 12.492309 2021-02-05 01:01:22.610: INFO @log_profile : T valid: 1.447049 2021-02-05 01:01:22.610: INFO @log_profile : T read data: 0.404315 2021-02-05 01:01:22.610: INFO @log_profile : T hooks: 3.513578 2021-02-05 01:01:22.610: INFO @main_loop : Epoch 377 done 2021-02-05 01:01:22.610: INFO @main_loop : Training epoch 378 2021-02-05 01:01:37.703: INFO @log_variables: train loss nanmean: 1.106278 2021-02-05 01:01:37.703: INFO @log_variables: train age_loss mean: 8.351589 2021-02-05 01:01:37.703: INFO @log_variables: train gender_loss mean: 0.242412 2021-02-05 01:01:37.703: INFO @log_variables: train age_mae mean: 7.802868 2021-02-05 01:01:37.703: INFO @log_variables: train gender_accuracy mean: 0.896936 2021-02-05 01:01:37.703: INFO @log_variables: train gender_confidence/loss nanmean: 0.065969 2021-02-05 01:01:37.703: INFO @log_variables: train gender_confidence/accuracy mean: 0.793655 2021-02-05 01:01:37.704: INFO @log_variables: train age_confidence/loss mean: 0.060700 2021-02-05 01:01:37.704: INFO @log_variables: train age_confidence/accuracy mean: 0.662707 2021-02-05 01:01:37.704: INFO @log_variables: valid loss nanmean: 1.198802 2021-02-05 01:01:37.704: INFO @log_variables: valid age_loss mean: 8.863137 2021-02-05 01:01:37.704: INFO @log_variables: valid gender_loss mean: 0.277374 2021-02-05 01:01:37.704: INFO @log_variables: valid age_mae mean: 8.285224 2021-02-05 01:01:37.704: INFO @log_variables: valid gender_accuracy mean: 0.893628 2021-02-05 01:01:37.704: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076689 2021-02-05 01:01:37.704: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851229 2021-02-05 01:01:37.704: INFO @log_variables: valid age_confidence/loss mean: 0.064215 2021-02-05 01:01:37.704: INFO @log_variables: valid age_confidence/accuracy mean: 0.622178 2021-02-05 01:01:37.704: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:01:37.705: INFO @metrics_hook: train age_mae: 7.803 +-0.140 (13807) 2021-02-05 01:01:37.706: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13807) 2021-02-05 01:01:39.109: INFO @metrics_hook: valid age_mae: 8.285 +-0.272 (3986) 2021-02-05 01:01:39.110: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:01:40.346: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:01:40.346: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:01:40.346: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.46 +- 0.18 2021-02-05 01:01:40.347: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:01:40.424: INFO @evaluate_confidence: Previous accuracy would be: 89.69 2021-02-05 01:01:40.424: INFO @evaluate_confidence: Possible optimal thresholds are: [0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 01:01:40.430: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.35, 94.52, 94.64, 94.86, 94.99, 95.2, 95.31, 95.47, 95.68, 95.83, 96.04, 96.2, 96.3, 96.39, 96.52, 96.69, 96.78, 96.89, 97.11, 97.24, 97.37, 97.5, 97.66, 97.69, 97.8, 97.92, 98.0, 98.1, 98.21] 2021-02-05 01:01:40.430: INFO @evaluate_confidence: Dropped ratios are: [19.56, 20.4, 21.43, 22.45, 23.25, 24.18, 25.2, 26.18, 27.19, 28.22, 29.26, 30.07, 30.97, 31.99, 32.85, 33.75, 34.53, 35.48, 36.43, 37.44, 38.28, 39.28, 40.22, 41.33, 42.3, 43.3, 44.12, 45.08, 46.08] 2021-02-05 01:01:40.436: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:01:40.436: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:01:40.436: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:01:40.436: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:01:40.531: INFO @evaluate_confidence: Previous accuracy would be: 48.93 2021-02-05 01:01:40.531: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:01:40.535: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.63, 63.73, 64.89, 65.94, 66.69, 67.59, 68.78, 69.69, 70.79, 72.1, 72.86, 73.57, 74.41, 75.38, 75.99, 76.72] 2021-02-05 01:01:40.535: INFO @evaluate_confidence: Dropped ratios are: [47.05, 49.68, 51.92, 54.11, 55.99, 58.01, 60.01, 61.72, 63.45, 65.18, 66.51, 67.81, 69.1, 70.46, 71.58, 72.91] 2021-02-05 01:01:40.536: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:01:40.537: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 01:01:40.537: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 01:01:40.537: INFO @evaluate_confidence: Average confidence of all samples 0.79 +- 0.21 2021-02-05 01:01:40.613: INFO @evaluate_confidence: Previous accuracy would be: 89.36 2021-02-05 01:01:40.613: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81] 2021-02-05 01:01:40.614: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.0, 94.03, 94.31, 94.44, 94.65, 94.9, 95.07, 95.07, 95.23, 95.37, 95.58, 95.72, 95.88, 95.94, 96.09, 96.4, 96.42, 96.63, 96.8, 96.9, 97.05, 97.16, 97.3, 97.46, 97.54] 2021-02-05 01:01:40.615: INFO @evaluate_confidence: Dropped ratios are: [17.99, 18.92, 19.77, 20.65, 21.65, 22.25, 23.21, 24.16, 24.81, 25.82, 26.74, 27.87, 28.75, 29.55, 30.66, 31.69, 32.81, 33.74, 34.85, 36.13, 37.13, 38.18, 39.51, 40.79, 41.9] 2021-02-05 01:01:40.616: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:01:40.616: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:01:40.616: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.13 2021-02-05 01:01:40.616: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 01:01:40.699: INFO @evaluate_confidence: Previous accuracy would be: 46.06 2021-02-05 01:01:40.699: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:01:40.700: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.76, 58.03, 58.99, 59.85, 60.82, 61.57, 62.15, 62.64, 63.49, 64.82, 65.17] 2021-02-05 01:01:40.700: INFO @evaluate_confidence: Dropped ratios are: [51.38, 53.91, 56.75, 59.13, 61.39, 63.57, 65.93, 68.04, 69.77, 71.48, 73.13] 2021-02-05 01:01:40.710: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:01:41.097: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:01:41.153: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:01:41.433: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:01:41.597: INFO @decay_lr : LR updated to `4.510715e-05` 2021-02-05 01:01:41.598: INFO @log_profile : T train: 12.539233 2021-02-05 01:01:41.598: INFO @log_profile : T valid: 1.414408 2021-02-05 01:01:41.598: INFO @log_profile : T read data: 0.513538 2021-02-05 01:01:41.598: INFO @log_profile : T hooks: 4.474398 2021-02-05 01:01:41.598: INFO @main_loop : Epoch 378 done 2021-02-05 01:01:41.598: INFO @main_loop : Training epoch 379 2021-02-05 01:01:57.102: INFO @log_variables: train loss nanmean: 1.103338 2021-02-05 01:01:57.102: INFO @log_variables: train age_loss mean: 8.297048 2021-02-05 01:01:57.102: INFO @log_variables: train gender_loss mean: 0.243853 2021-02-05 01:01:57.102: INFO @log_variables: train age_mae mean: 7.749557 2021-02-05 01:01:57.102: INFO @log_variables: train gender_accuracy mean: 0.899884 2021-02-05 01:01:57.102: INFO @log_variables: train gender_confidence/loss nanmean: 0.066741 2021-02-05 01:01:57.102: INFO @log_variables: train gender_confidence/accuracy mean: 0.799407 2021-02-05 01:01:57.102: INFO @log_variables: train age_confidence/loss mean: 0.060635 2021-02-05 01:01:57.102: INFO @log_variables: train age_confidence/accuracy mean: 0.661024 2021-02-05 01:01:57.102: INFO @log_variables: valid loss nanmean: 1.193612 2021-02-05 01:01:57.102: INFO @log_variables: valid age_loss mean: 8.897715 2021-02-05 01:01:57.102: INFO @log_variables: valid gender_loss mean: 0.272312 2021-02-05 01:01:57.103: INFO @log_variables: valid age_mae mean: 8.318544 2021-02-05 01:01:57.103: INFO @log_variables: valid gender_accuracy mean: 0.893628 2021-02-05 01:01:57.103: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074030 2021-02-05 01:01:57.103: INFO @log_variables: valid gender_confidence/accuracy mean: 0.854742 2021-02-05 01:01:57.103: INFO @log_variables: valid age_confidence/loss mean: 0.063141 2021-02-05 01:01:57.103: INFO @log_variables: valid age_confidence/accuracy mean: 0.630958 2021-02-05 01:01:57.103: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:01:57.105: INFO @metrics_hook: train age_mae: 7.750 +-0.138 (13824) 2021-02-05 01:01:57.106: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13824) 2021-02-05 01:01:58.527: INFO @metrics_hook: valid age_mae: 8.319 +-0.273 (3986) 2021-02-05 01:01:58.528: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:01:59.895: INFO @decay_lr : LR updated to `4.4881614e-05` 2021-02-05 01:01:59.896: INFO @log_profile : T train: 12.824742 2021-02-05 01:01:59.896: INFO @log_profile : T valid: 1.619041 2021-02-05 01:01:59.896: INFO @log_profile : T read data: 0.401279 2021-02-05 01:01:59.896: INFO @log_profile : T hooks: 3.403417 2021-02-05 01:01:59.896: INFO @main_loop : Epoch 379 done 2021-02-05 01:01:59.896: INFO @main_loop : Training epoch 380 2021-02-05 01:02:15.374: INFO @log_variables: train loss nanmean: 1.104184 2021-02-05 01:02:15.374: INFO @log_variables: train age_loss mean: 8.321715 2021-02-05 01:02:15.374: INFO @log_variables: train gender_loss mean: 0.242423 2021-02-05 01:02:15.374: INFO @log_variables: train age_mae mean: 7.773736 2021-02-05 01:02:15.374: INFO @log_variables: train gender_accuracy mean: 0.898655 2021-02-05 01:02:15.374: INFO @log_variables: train gender_confidence/loss nanmean: 0.067096 2021-02-05 01:02:15.374: INFO @log_variables: train gender_confidence/accuracy mean: 0.796441 2021-02-05 01:02:15.374: INFO @log_variables: train age_confidence/loss mean: 0.060183 2021-02-05 01:02:15.375: INFO @log_variables: train age_confidence/accuracy mean: 0.663411 2021-02-05 01:02:15.375: INFO @log_variables: valid loss nanmean: 1.196634 2021-02-05 01:02:15.375: INFO @log_variables: valid age_loss mean: 8.870277 2021-02-05 01:02:15.375: INFO @log_variables: valid gender_loss mean: 0.275948 2021-02-05 01:02:15.375: INFO @log_variables: valid age_mae mean: 8.291068 2021-02-05 01:02:15.375: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 01:02:15.375: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075831 2021-02-05 01:02:15.375: INFO @log_variables: valid gender_confidence/accuracy mean: 0.846212 2021-02-05 01:02:15.375: INFO @log_variables: valid age_confidence/loss mean: 0.063552 2021-02-05 01:02:15.375: INFO @log_variables: valid age_confidence/accuracy mean: 0.628951 2021-02-05 01:02:15.375: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:02:15.377: INFO @metrics_hook: train age_mae: 7.774 +-0.139 (13824) 2021-02-05 01:02:15.378: INFO @metrics_hook: train gender_accuracy: 0.899 +-0.005 (13824) 2021-02-05 01:02:16.791: INFO @metrics_hook: valid age_mae: 8.291 +-0.273 (3986) 2021-02-05 01:02:16.791: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:02:18.047: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:02:18.047: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:02:18.048: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:02:18.048: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:02:18.126: INFO @evaluate_confidence: Previous accuracy would be: 89.87 2021-02-05 01:02:18.127: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:02:18.132: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.35, 94.55, 94.66, 94.88, 95.13, 95.39, 95.56, 95.69, 95.78, 95.95, 96.1, 96.19, 96.33, 96.46, 96.62, 96.72, 96.84, 96.96, 97.08, 97.16, 97.29, 97.44, 97.51, 97.62, 97.69, 97.79, 97.84, 97.9, 97.97] 2021-02-05 01:02:18.132: INFO @evaluate_confidence: Dropped ratios are: [19.72, 20.65, 21.51, 22.56, 23.43, 24.4, 25.39, 26.35, 27.15, 28.05, 29.02, 29.98, 31.02, 32.04, 33.06, 33.86, 34.73, 35.71, 36.59, 37.51, 38.51, 39.44, 40.39, 41.35, 42.58, 43.7, 44.68, 45.69, 46.77] 2021-02-05 01:02:18.138: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:02:18.138: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:02:18.138: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:02:18.138: INFO @evaluate_confidence: Average confidence of all samples 0.50 +- 0.19 2021-02-05 01:02:18.234: INFO @evaluate_confidence: Previous accuracy would be: 48.85 2021-02-05 01:02:18.235: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:02:18.239: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.37, 63.31, 64.35, 65.32, 66.43, 67.73, 68.58, 69.41, 70.6, 71.62, 72.53, 73.19, 74.22, 75.44, 76.61, 77.48] 2021-02-05 01:02:18.239: INFO @evaluate_confidence: Dropped ratios are: [46.22, 48.9, 51.37, 53.33, 55.4, 57.54, 59.43, 61.24, 63.14, 64.69, 66.21, 67.32, 68.86, 70.19, 71.42, 72.54] 2021-02-05 01:02:18.240: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:02:18.240: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 01:02:18.241: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.59 +- 0.20 2021-02-05 01:02:18.241: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:02:18.318: INFO @evaluate_confidence: Previous accuracy would be: 89.44 2021-02-05 01:02:18.318: INFO @evaluate_confidence: Possible optimal thresholds are: [0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:02:18.320: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.81, 94.0, 94.11, 94.25, 94.45, 94.66, 94.79, 94.93, 95.1, 95.25, 95.34, 95.66, 95.8, 95.96, 96.18, 96.34, 96.48, 96.87, 97.02, 97.24, 97.31, 97.34, 97.45, 97.45] 2021-02-05 01:02:18.320: INFO @evaluate_confidence: Dropped ratios are: [18.94, 19.74, 20.37, 21.05, 21.78, 22.53, 23.51, 24.74, 25.82, 27.09, 27.85, 28.83, 29.5, 30.48, 31.61, 32.81, 33.77, 35.12, 36.08, 37.21, 38.36, 39.61, 41.02, 41.97] 2021-02-05 01:02:18.322: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:02:18.322: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:02:18.322: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.13 2021-02-05 01:02:18.322: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 01:02:18.407: INFO @evaluate_confidence: Previous accuracy would be: 45.63 2021-02-05 01:02:18.407: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:02:18.408: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.62, 57.89, 59.55, 60.69, 61.16, 61.79, 62.57, 63.7, 64.45, 65.78, 66.7] 2021-02-05 01:02:18.408: INFO @evaluate_confidence: Dropped ratios are: [51.48, 54.72, 57.83, 60.11, 62.34, 64.48, 66.08, 68.14, 69.79, 71.63, 72.8] 2021-02-05 01:02:18.418: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:02:18.796: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:18.857: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:02:19.142: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:19.205: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:02:19.581: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:19.641: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:02:19.642: INFO @evaluate_gender-age_model: groups 0 4.693359 1 8.483052 2 8.592597 3 8.101462 4 8.264357 5 8.828900 6 8.458161 7 6.461398 Name: errors, dtype: float64 2021-02-05 01:02:19.642: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:02:19.924: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:19.984: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:02:19.985: INFO @evaluate_gender-age_model: groups 0 6.303394 1 7.569331 2 7.810145 3 7.598730 4 8.976959 5 9.998362 6 9.234512 7 7.247320 Name: errors, dtype: float64 2021-02-05 01:02:20.089: INFO @decay_lr : LR updated to `4.4657205e-05` 2021-02-05 01:02:20.090: INFO @log_profile : T train: 12.392495 2021-02-05 01:02:20.090: INFO @log_profile : T valid: 1.500786 2021-02-05 01:02:20.090: INFO @log_profile : T read data: 0.400230 2021-02-05 01:02:20.090: INFO @log_profile : T hooks: 5.854192 2021-02-05 01:02:20.090: INFO @main_loop : Epoch 380 done 2021-02-05 01:02:20.090: INFO @main_loop : Training epoch 381 2021-02-05 01:02:35.705: INFO @log_variables: train loss nanmean: 1.088374 2021-02-05 01:02:35.705: INFO @log_variables: train age_loss mean: 8.225877 2021-02-05 01:02:35.705: INFO @log_variables: train gender_loss mean: 0.234965 2021-02-05 01:02:35.705: INFO @log_variables: train age_mae mean: 7.678216 2021-02-05 01:02:35.705: INFO @log_variables: train gender_accuracy mean: 0.900847 2021-02-05 01:02:35.705: INFO @log_variables: train gender_confidence/loss nanmean: 0.066187 2021-02-05 01:02:35.705: INFO @log_variables: train gender_confidence/accuracy mean: 0.807561 2021-02-05 01:02:35.705: INFO @log_variables: train age_confidence/loss mean: 0.060776 2021-02-05 01:02:35.705: INFO @log_variables: train age_confidence/accuracy mean: 0.660752 2021-02-05 01:02:35.706: INFO @log_variables: valid loss nanmean: 1.189891 2021-02-05 01:02:35.706: INFO @log_variables: valid age_loss mean: 8.804019 2021-02-05 01:02:35.706: INFO @log_variables: valid gender_loss mean: 0.275992 2021-02-05 01:02:35.706: INFO @log_variables: valid age_mae mean: 8.228229 2021-02-05 01:02:35.706: INFO @log_variables: valid gender_accuracy mean: 0.896387 2021-02-05 01:02:35.706: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074930 2021-02-05 01:02:35.706: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850728 2021-02-05 01:02:35.706: INFO @log_variables: valid age_confidence/loss mean: 0.063693 2021-02-05 01:02:35.706: INFO @log_variables: valid age_confidence/accuracy mean: 0.630206 2021-02-05 01:02:35.706: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:02:35.708: INFO @metrics_hook: train age_mae: 7.678 +-0.136 (13807) 2021-02-05 01:02:35.709: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13807) 2021-02-05 01:02:37.127: INFO @metrics_hook: valid age_mae: 8.228 +-0.267 (3986) 2021-02-05 01:02:37.127: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 01:02:38.471: INFO @decay_lr : LR updated to `4.443392e-05` 2021-02-05 01:02:38.472: INFO @log_profile : T train: 12.925230 2021-02-05 01:02:38.472: INFO @log_profile : T valid: 1.546155 2021-02-05 01:02:38.472: INFO @log_profile : T read data: 0.499881 2021-02-05 01:02:38.472: INFO @log_profile : T hooks: 3.361859 2021-02-05 01:02:38.472: INFO @main_loop : Epoch 381 done 2021-02-05 01:02:38.472: INFO @main_loop : Training epoch 382 2021-02-05 01:02:54.058: INFO @log_variables: train loss nanmean: 1.105471 2021-02-05 01:02:54.058: INFO @log_variables: train age_loss mean: 8.312909 2021-02-05 01:02:54.058: INFO @log_variables: train gender_loss mean: 0.245371 2021-02-05 01:02:54.058: INFO @log_variables: train age_mae mean: 7.764463 2021-02-05 01:02:54.058: INFO @log_variables: train gender_accuracy mean: 0.897714 2021-02-05 01:02:54.058: INFO @log_variables: train gender_confidence/loss nanmean: 0.066385 2021-02-05 01:02:54.058: INFO @log_variables: train gender_confidence/accuracy mean: 0.799479 2021-02-05 01:02:54.058: INFO @log_variables: train age_confidence/loss mean: 0.060302 2021-02-05 01:02:54.059: INFO @log_variables: train age_confidence/accuracy mean: 0.666884 2021-02-05 01:02:54.059: INFO @log_variables: valid loss nanmean: 1.191714 2021-02-05 01:02:54.059: INFO @log_variables: valid age_loss mean: 8.844710 2021-02-05 01:02:54.059: INFO @log_variables: valid gender_loss mean: 0.274495 2021-02-05 01:02:54.059: INFO @log_variables: valid age_mae mean: 8.263968 2021-02-05 01:02:54.059: INFO @log_variables: valid gender_accuracy mean: 0.895886 2021-02-05 01:02:54.059: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074611 2021-02-05 01:02:54.059: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848219 2021-02-05 01:02:54.059: INFO @log_variables: valid age_confidence/loss mean: 0.063497 2021-02-05 01:02:54.059: INFO @log_variables: valid age_confidence/accuracy mean: 0.626443 2021-02-05 01:02:54.059: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:02:54.061: INFO @metrics_hook: train age_mae: 7.764 +-0.138 (13824) 2021-02-05 01:02:54.062: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13824) 2021-02-05 01:02:55.488: INFO @metrics_hook: valid age_mae: 8.264 +-0.271 (3986) 2021-02-05 01:02:55.489: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 01:02:56.749: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:02:56.749: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:02:56.749: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:02:56.749: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:02:56.825: INFO @evaluate_confidence: Previous accuracy would be: 89.77 2021-02-05 01:02:56.826: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:02:56.831: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.61, 94.82, 95.0, 95.16, 95.36, 95.5, 95.6, 95.71, 95.84, 95.94, 96.07, 96.16, 96.32, 96.39, 96.45, 96.63, 96.85, 96.93, 97.02, 97.08, 97.12, 97.25, 97.37, 97.49, 97.62, 97.69, 97.82, 97.87, 98.05] 2021-02-05 01:02:56.831: INFO @evaluate_confidence: Dropped ratios are: [20.09, 21.07, 22.01, 22.82, 23.81, 24.69, 25.61, 26.63, 27.53, 28.44, 29.43, 30.26, 31.15, 32.07, 32.94, 34.09, 35.19, 36.08, 37.04, 38.01, 39.03, 39.92, 40.87, 41.86, 42.82, 43.88, 44.7, 45.91, 46.89] 2021-02-05 01:02:56.837: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:02:56.837: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:02:56.837: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:02:56.837: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:02:56.931: INFO @evaluate_confidence: Previous accuracy would be: 48.80 2021-02-05 01:02:56.931: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:02:56.935: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.39, 63.36, 64.7, 65.63, 66.7, 67.8, 68.86, 69.94, 70.91, 71.97, 72.86, 73.84, 74.8, 75.46, 76.43, 77.02] 2021-02-05 01:02:56.935: INFO @evaluate_confidence: Dropped ratios are: [46.45, 49.04, 51.51, 53.54, 55.31, 57.52, 59.51, 61.42, 62.98, 64.57, 66.18, 67.65, 69.0, 70.32, 71.64, 72.8] 2021-02-05 01:02:56.937: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:02:56.937: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 01:02:56.937: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 01:02:56.937: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:02:57.013: INFO @evaluate_confidence: Previous accuracy would be: 89.59 2021-02-05 01:02:57.013: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:02:57.015: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.75, 93.99, 94.25, 94.5, 94.6, 94.92, 95.08, 95.23, 95.42, 95.54, 95.73, 95.95, 96.04, 96.24, 96.33, 96.41, 96.64, 96.82, 96.96, 97.15, 97.37, 97.48, 97.65, 97.63, 97.67] 2021-02-05 01:02:57.015: INFO @evaluate_confidence: Dropped ratios are: [18.46, 19.42, 20.17, 21.02, 21.95, 23.01, 24.01, 24.76, 25.51, 26.37, 27.15, 28.15, 29.05, 30.01, 31.03, 32.16, 33.62, 34.62, 35.6, 36.73, 37.98, 39.21, 40.27, 41.72, 42.82] 2021-02-05 01:02:57.016: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:02:57.016: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 01:02:57.016: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 01:02:57.017: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:02:57.103: INFO @evaluate_confidence: Previous accuracy would be: 46.04 2021-02-05 01:02:57.104: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 01:02:57.105: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.67, 58.65, 59.57, 60.39, 61.14, 62.08, 63.26, 63.78, 64.33] 2021-02-05 01:02:57.105: INFO @evaluate_confidence: Dropped ratios are: [52.71, 55.64, 58.73, 60.99, 62.95, 65.53, 67.36, 69.04, 70.67] 2021-02-05 01:02:57.114: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:02:57.493: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:57.555: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:02:57.847: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:02:58.016: INFO @decay_lr : LR updated to `4.421175e-05` 2021-02-05 01:02:58.017: INFO @log_profile : T train: 12.911771 2021-02-05 01:02:58.017: INFO @log_profile : T valid: 1.613484 2021-02-05 01:02:58.017: INFO @log_profile : T read data: 0.408860 2021-02-05 01:02:58.017: INFO @log_profile : T hooks: 4.560764 2021-02-05 01:02:58.017: INFO @main_loop : Epoch 382 done 2021-02-05 01:02:58.017: INFO @main_loop : Training epoch 383 2021-02-05 01:03:13.578: INFO @log_variables: train loss nanmean: 1.085172 2021-02-05 01:03:13.578: INFO @log_variables: train age_loss mean: 8.248732 2021-02-05 01:03:13.578: INFO @log_variables: train gender_loss mean: 0.230195 2021-02-05 01:03:13.578: INFO @log_variables: train age_mae mean: 7.703981 2021-02-05 01:03:13.578: INFO @log_variables: train gender_accuracy mean: 0.905020 2021-02-05 01:03:13.579: INFO @log_variables: train gender_confidence/loss nanmean: 0.066158 2021-02-05 01:03:13.579: INFO @log_variables: train gender_confidence/accuracy mean: 0.804326 2021-02-05 01:03:13.579: INFO @log_variables: train age_confidence/loss mean: 0.059860 2021-02-05 01:03:13.579: INFO @log_variables: train age_confidence/accuracy mean: 0.672309 2021-02-05 01:03:13.579: INFO @log_variables: valid loss nanmean: 1.196489 2021-02-05 01:03:13.579: INFO @log_variables: valid age_loss mean: 8.839714 2021-02-05 01:03:13.579: INFO @log_variables: valid gender_loss mean: 0.280429 2021-02-05 01:03:13.579: INFO @log_variables: valid age_mae mean: 8.264054 2021-02-05 01:03:13.579: INFO @log_variables: valid gender_accuracy mean: 0.894129 2021-02-05 01:03:13.579: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075214 2021-02-05 01:03:13.579: INFO @log_variables: valid gender_confidence/accuracy mean: 0.847466 2021-02-05 01:03:13.579: INFO @log_variables: valid age_confidence/loss mean: 0.062730 2021-02-05 01:03:13.579: INFO @log_variables: valid age_confidence/accuracy mean: 0.625188 2021-02-05 01:03:13.579: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:03:13.580: INFO @metrics_hook: train age_mae: 7.704 +-0.136 (13824) 2021-02-05 01:03:13.582: INFO @metrics_hook: train gender_accuracy: 0.905 +-0.005 (13824) 2021-02-05 01:03:14.990: INFO @metrics_hook: valid age_mae: 8.264 +-0.268 (3986) 2021-02-05 01:03:14.991: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:03:16.341: INFO @decay_lr : LR updated to `4.399069e-05` 2021-02-05 01:03:16.342: INFO @log_profile : T train: 12.865147 2021-02-05 01:03:16.342: INFO @log_profile : T valid: 1.631523 2021-02-05 01:03:16.342: INFO @log_profile : T read data: 0.406028 2021-02-05 01:03:16.342: INFO @log_profile : T hooks: 3.372386 2021-02-05 01:03:16.342: INFO @main_loop : Epoch 383 done 2021-02-05 01:03:16.342: INFO @main_loop : Training epoch 384 2021-02-05 01:03:31.537: INFO @log_variables: train loss nanmean: 1.101213 2021-02-05 01:03:31.537: INFO @log_variables: train age_loss mean: 8.382095 2021-02-05 01:03:31.537: INFO @log_variables: train gender_loss mean: 0.233731 2021-02-05 01:03:31.537: INFO @log_variables: train age_mae mean: 7.832597 2021-02-05 01:03:31.537: INFO @log_variables: train gender_accuracy mean: 0.905193 2021-02-05 01:03:31.537: INFO @log_variables: train gender_confidence/loss nanmean: 0.066376 2021-02-05 01:03:31.538: INFO @log_variables: train gender_confidence/accuracy mean: 0.805751 2021-02-05 01:03:31.538: INFO @log_variables: train age_confidence/loss mean: 0.060345 2021-02-05 01:03:31.538: INFO @log_variables: train age_confidence/accuracy mean: 0.665822 2021-02-05 01:03:31.538: INFO @log_variables: valid loss nanmean: 1.200159 2021-02-05 01:03:31.538: INFO @log_variables: valid age_loss mean: 8.880741 2021-02-05 01:03:31.538: INFO @log_variables: valid gender_loss mean: 0.278081 2021-02-05 01:03:31.538: INFO @log_variables: valid age_mae mean: 8.300832 2021-02-05 01:03:31.538: INFO @log_variables: valid gender_accuracy mean: 0.899649 2021-02-05 01:03:31.538: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076700 2021-02-05 01:03:31.538: INFO @log_variables: valid gender_confidence/accuracy mean: 0.857501 2021-02-05 01:03:31.538: INFO @log_variables: valid age_confidence/loss mean: 0.063318 2021-02-05 01:03:31.538: INFO @log_variables: valid age_confidence/accuracy mean: 0.629955 2021-02-05 01:03:31.538: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:03:31.540: INFO @metrics_hook: train age_mae: 7.833 +-0.137 (13807) 2021-02-05 01:03:31.541: INFO @metrics_hook: train gender_accuracy: 0.905 +-0.005 (13807) 2021-02-05 01:03:32.971: INFO @metrics_hook: valid age_mae: 8.301 +-0.272 (3986) 2021-02-05 01:03:32.971: INFO @metrics_hook: valid gender_accuracy: 0.900 +-0.010 (3986) 2021-02-05 01:03:34.223: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:03:34.223: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.23 2021-02-05 01:03:34.224: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:03:34.224: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.24 2021-02-05 01:03:34.312: INFO @evaluate_confidence: Previous accuracy would be: 90.52 2021-02-05 01:03:34.312: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:03:34.318: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.84, 95.05, 95.2, 95.29, 95.45, 95.57, 95.71, 95.77, 95.9, 96.06, 96.21, 96.34, 96.46, 96.57, 96.71, 96.8, 96.92, 96.95, 97.03, 97.16, 97.23, 97.39, 97.5, 97.59, 97.75, 97.93, 98.04, 98.1, 98.17] 2021-02-05 01:03:34.318: INFO @evaluate_confidence: Dropped ratios are: [18.84, 19.74, 20.64, 21.52, 22.47, 23.38, 24.36, 25.28, 26.19, 27.1, 28.13, 29.11, 30.08, 30.98, 31.93, 32.84, 33.69, 34.69, 35.6, 36.7, 37.62, 38.65, 39.57, 40.46, 41.49, 42.51, 43.51, 44.46, 45.51] 2021-02-05 01:03:34.324: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:03:34.324: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.22 2021-02-05 01:03:34.324: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:03:34.324: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:03:34.422: INFO @evaluate_confidence: Previous accuracy would be: 48.19 2021-02-05 01:03:34.422: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:03:34.426: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.37, 63.35, 64.48, 65.51, 66.91, 67.59, 68.55, 69.53, 70.41, 71.26, 72.24, 73.01, 73.7, 74.46, 75.44, 76.25] 2021-02-05 01:03:34.426: INFO @evaluate_confidence: Dropped ratios are: [48.63, 50.91, 52.99, 54.95, 57.06, 58.79, 60.53, 62.32, 63.82, 65.35, 66.79, 68.1, 69.4, 70.62, 71.92, 72.98] 2021-02-05 01:03:34.428: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:03:34.428: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:03:34.428: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.59 +- 0.20 2021-02-05 01:03:34.428: INFO @evaluate_confidence: Average confidence of all samples 0.81 +- 0.20 2021-02-05 01:03:34.504: INFO @evaluate_confidence: Previous accuracy would be: 89.96 2021-02-05 01:03:34.504: INFO @evaluate_confidence: Possible optimal thresholds are: [0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82, 0.83] 2021-02-05 01:03:34.505: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.13, 94.31, 94.47, 94.72, 94.88, 95.08, 95.2, 95.27, 95.55, 95.68, 95.79, 95.91, 96.09, 96.1, 96.22, 96.3, 96.45, 96.57, 96.9, 97.02, 97.04, 97.12, 97.31, 97.42, 97.52] 2021-02-05 01:03:34.505: INFO @evaluate_confidence: Dropped ratios are: [18.31, 19.29, 20.22, 21.15, 21.65, 22.48, 23.18, 24.11, 25.01, 25.74, 26.72, 27.67, 28.75, 29.83, 30.96, 32.11, 32.81, 34.14, 35.2, 36.08, 37.23, 38.16, 39.44, 40.67, 42.22] 2021-02-05 01:03:34.507: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:03:34.507: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:03:34.507: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 01:03:34.507: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.17 2021-02-05 01:03:34.590: INFO @evaluate_confidence: Previous accuracy would be: 45.41 2021-02-05 01:03:34.590: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:03:34.591: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.81, 57.68, 58.48, 59.6, 60.4, 61.38, 62.58, 62.94, 63.79, 65.17, 65.93] 2021-02-05 01:03:34.592: INFO @evaluate_confidence: Dropped ratios are: [51.56, 54.42, 57.23, 60.01, 62.62, 64.73, 66.61, 68.11, 69.79, 71.55, 72.91] 2021-02-05 01:03:34.601: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:03:34.987: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:03:35.051: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:03:35.338: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:03:35.503: INFO @decay_lr : LR updated to `4.377074e-05` 2021-02-05 01:03:35.729: INFO @save : Model saved to: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt/model_best_gender.ckpt 2021-02-05 01:03:35.731: INFO @log_profile : T train: 12.599381 2021-02-05 01:03:35.731: INFO @log_profile : T valid: 1.480106 2021-02-05 01:03:35.731: INFO @log_profile : T read data: 0.494560 2021-02-05 01:03:35.731: INFO @log_profile : T hooks: 4.771137 2021-02-05 01:03:35.731: INFO @main_loop : Epoch 384 done 2021-02-05 01:03:35.732: INFO @main_loop : Training epoch 385 2021-02-05 01:03:51.387: INFO @log_variables: train loss nanmean: 1.087870 2021-02-05 01:03:51.387: INFO @log_variables: train age_loss mean: 8.226975 2021-02-05 01:03:51.387: INFO @log_variables: train gender_loss mean: 0.234341 2021-02-05 01:03:51.387: INFO @log_variables: train age_mae mean: 7.682389 2021-02-05 01:03:51.387: INFO @log_variables: train gender_accuracy mean: 0.901620 2021-02-05 01:03:51.387: INFO @log_variables: train gender_confidence/loss nanmean: 0.066561 2021-02-05 01:03:51.387: INFO @log_variables: train gender_confidence/accuracy mean: 0.800854 2021-02-05 01:03:51.387: INFO @log_variables: train age_confidence/loss mean: 0.060365 2021-02-05 01:03:51.387: INFO @log_variables: train age_confidence/accuracy mean: 0.665509 2021-02-05 01:03:51.387: INFO @log_variables: valid loss nanmean: 1.195864 2021-02-05 01:03:51.387: INFO @log_variables: valid age_loss mean: 8.778791 2021-02-05 01:03:51.387: INFO @log_variables: valid gender_loss mean: 0.286991 2021-02-05 01:03:51.387: INFO @log_variables: valid age_mae mean: 8.202695 2021-02-05 01:03:51.387: INFO @log_variables: valid gender_accuracy mean: 0.890617 2021-02-05 01:03:51.387: INFO @log_variables: valid gender_confidence/loss nanmean: 0.073983 2021-02-05 01:03:51.387: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849724 2021-02-05 01:03:51.387: INFO @log_variables: valid age_confidence/loss mean: 0.062909 2021-02-05 01:03:51.388: INFO @log_variables: valid age_confidence/accuracy mean: 0.625941 2021-02-05 01:03:51.388: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:03:51.390: INFO @metrics_hook: train age_mae: 7.682 +-0.136 (13824) 2021-02-05 01:03:51.392: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 01:03:52.868: INFO @metrics_hook: valid age_mae: 8.203 +-0.269 (3986) 2021-02-05 01:03:52.869: INFO @metrics_hook: valid gender_accuracy: 0.891 +-0.010 (3986) 2021-02-05 01:03:54.255: INFO @decay_lr : LR updated to `4.3551885e-05` 2021-02-05 01:03:54.256: INFO @log_profile : T train: 12.999454 2021-02-05 01:03:54.256: INFO @log_profile : T valid: 1.602407 2021-02-05 01:03:54.256: INFO @log_profile : T read data: 0.395047 2021-02-05 01:03:54.256: INFO @log_profile : T hooks: 3.479701 2021-02-05 01:03:54.256: INFO @main_loop : Epoch 385 done 2021-02-05 01:03:54.256: INFO @main_loop : Training epoch 386 2021-02-05 01:04:09.788: INFO @log_variables: train loss nanmean: 1.098951 2021-02-05 01:04:09.788: INFO @log_variables: train age_loss mean: 8.349824 2021-02-05 01:04:09.788: INFO @log_variables: train gender_loss mean: 0.235379 2021-02-05 01:04:09.788: INFO @log_variables: train age_mae mean: 7.801673 2021-02-05 01:04:09.788: INFO @log_variables: train gender_accuracy mean: 0.906822 2021-02-05 01:04:09.788: INFO @log_variables: train gender_confidence/loss nanmean: 0.065982 2021-02-05 01:04:09.789: INFO @log_variables: train gender_confidence/accuracy mean: 0.796860 2021-02-05 01:04:09.789: INFO @log_variables: train age_confidence/loss mean: 0.059913 2021-02-05 01:04:09.789: INFO @log_variables: train age_confidence/accuracy mean: 0.670260 2021-02-05 01:04:09.789: INFO @log_variables: valid loss nanmean: 1.190931 2021-02-05 01:04:09.789: INFO @log_variables: valid age_loss mean: 8.788555 2021-02-05 01:04:09.789: INFO @log_variables: valid gender_loss mean: 0.277975 2021-02-05 01:04:09.789: INFO @log_variables: valid age_mae mean: 8.215040 2021-02-05 01:04:09.789: INFO @log_variables: valid gender_accuracy mean: 0.895133 2021-02-05 01:04:09.789: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076138 2021-02-05 01:04:09.789: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849975 2021-02-05 01:04:09.789: INFO @log_variables: valid age_confidence/loss mean: 0.063129 2021-02-05 01:04:09.789: INFO @log_variables: valid age_confidence/accuracy mean: 0.625439 2021-02-05 01:04:09.789: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:04:09.791: INFO @metrics_hook: train age_mae: 7.802 +-0.138 (13823) 2021-02-05 01:04:09.792: INFO @metrics_hook: train gender_accuracy: 0.907 +-0.005 (13823) 2021-02-05 01:04:11.163: INFO @metrics_hook: valid age_mae: 8.215 +-0.266 (3986) 2021-02-05 01:04:11.164: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:04:12.425: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:04:12.425: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:04:12.425: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:04:12.425: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:04:12.502: INFO @evaluate_confidence: Previous accuracy would be: 90.68 2021-02-05 01:04:12.503: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:04:12.508: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.98, 95.16, 95.26, 95.46, 95.62, 95.74, 95.88, 96.02, 96.11, 96.25, 96.32, 96.52, 96.65, 96.77, 96.86, 96.94, 97.04, 97.18, 97.3, 97.37, 97.47, 97.56, 97.62, 97.71, 97.84, 97.92, 98.02, 98.07, 98.16] 2021-02-05 01:04:12.508: INFO @evaluate_confidence: Dropped ratios are: [19.86, 20.76, 21.67, 22.6, 23.48, 24.44, 25.46, 26.28, 27.19, 28.02, 28.84, 29.81, 30.67, 31.52, 32.44, 33.29, 34.23, 35.18, 36.15, 37.1, 38.19, 39.14, 40.14, 41.21, 42.43, 43.38, 44.4, 45.35, 46.56] 2021-02-05 01:04:12.514: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:04:12.515: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:04:12.515: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:04:12.515: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:04:12.609: INFO @evaluate_confidence: Previous accuracy would be: 48.38 2021-02-05 01:04:12.609: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:04:12.613: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [63.16, 64.31, 65.46, 66.58, 67.75, 68.61, 69.37, 70.21, 71.46, 72.38, 73.31, 74.52, 75.27, 76.12, 76.73, 77.13] 2021-02-05 01:04:12.613: INFO @evaluate_confidence: Dropped ratios are: [47.78, 50.2, 52.66, 54.92, 56.99, 58.84, 60.61, 62.24, 64.1, 65.58, 67.06, 68.54, 69.63, 70.88, 72.18, 73.27] 2021-02-05 01:04:12.615: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:04:12.615: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:04:12.615: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.59 +- 0.19 2021-02-05 01:04:12.615: INFO @evaluate_confidence: Average confidence of all samples 0.81 +- 0.20 2021-02-05 01:04:12.691: INFO @evaluate_confidence: Previous accuracy would be: 89.51 2021-02-05 01:04:12.692: INFO @evaluate_confidence: Possible optimal thresholds are: [0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82, 0.83] 2021-02-05 01:04:12.693: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [93.8, 93.95, 94.19, 94.32, 94.63, 94.67, 94.79, 94.96, 95.13, 95.35, 95.59, 95.79, 95.97, 96.11, 96.33, 96.35, 96.47, 96.59, 96.85, 96.99, 97.01, 97.03, 97.19, 97.46, 97.62] 2021-02-05 01:04:12.693: INFO @evaluate_confidence: Dropped ratios are: [17.84, 18.77, 19.62, 20.5, 21.48, 22.4, 22.98, 23.88, 24.71, 25.61, 26.62, 27.27, 28.32, 29.08, 30.31, 31.18, 32.54, 33.72, 34.67, 35.73, 37.03, 38.28, 39.21, 40.77, 42.07] 2021-02-05 01:04:12.695: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:04:12.695: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.18 2021-02-05 01:04:12.695: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:04:12.695: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:04:12.777: INFO @evaluate_confidence: Previous accuracy would be: 46.46 2021-02-05 01:04:12.778: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:04:12.779: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.14, 58.18, 59.21, 60.11, 60.86, 61.41, 62.33, 63.47, 64.79, 65.68, 67.42, 68.31] 2021-02-05 01:04:12.779: INFO @evaluate_confidence: Dropped ratios are: [48.37, 52.18, 55.04, 57.8, 60.26, 62.62, 64.7, 66.56, 68.36, 70.4, 72.2, 74.03] 2021-02-05 01:04:12.788: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:04:13.169: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:04:13.227: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:04:13.510: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:04:13.681: INFO @decay_lr : LR updated to `4.3334127e-05` 2021-02-05 01:04:13.682: INFO @log_profile : T train: 12.922701 2021-02-05 01:04:13.682: INFO @log_profile : T valid: 1.566821 2021-02-05 01:04:13.682: INFO @log_profile : T read data: 0.401891 2021-02-05 01:04:13.682: INFO @log_profile : T hooks: 4.485933 2021-02-05 01:04:13.682: INFO @main_loop : Epoch 386 done 2021-02-05 01:04:13.683: INFO @main_loop : Training epoch 387 2021-02-05 01:04:29.405: INFO @log_variables: train loss nanmean: 1.107518 2021-02-05 01:04:29.405: INFO @log_variables: train age_loss mean: 8.400098 2021-02-05 01:04:29.405: INFO @log_variables: train gender_loss mean: 0.239463 2021-02-05 01:04:29.405: INFO @log_variables: train age_mae mean: 7.851448 2021-02-05 01:04:29.405: INFO @log_variables: train gender_accuracy mean: 0.899544 2021-02-05 01:04:29.405: INFO @log_variables: train gender_confidence/loss nanmean: 0.065871 2021-02-05 01:04:29.405: INFO @log_variables: train gender_confidence/accuracy mean: 0.799739 2021-02-05 01:04:29.405: INFO @log_variables: train age_confidence/loss mean: 0.060309 2021-02-05 01:04:29.405: INFO @log_variables: train age_confidence/accuracy mean: 0.661983 2021-02-05 01:04:29.405: INFO @log_variables: valid loss nanmean: 1.194231 2021-02-05 01:04:29.405: INFO @log_variables: valid age_loss mean: 8.856645 2021-02-05 01:04:29.405: INFO @log_variables: valid gender_loss mean: 0.276649 2021-02-05 01:04:29.405: INFO @log_variables: valid age_mae mean: 8.278686 2021-02-05 01:04:29.405: INFO @log_variables: valid gender_accuracy mean: 0.896638 2021-02-05 01:04:29.405: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074543 2021-02-05 01:04:29.405: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850728 2021-02-05 01:04:29.405: INFO @log_variables: valid age_confidence/loss mean: 0.063039 2021-02-05 01:04:29.405: INFO @log_variables: valid age_confidence/accuracy mean: 0.626693 2021-02-05 01:04:29.405: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:04:29.407: INFO @metrics_hook: train age_mae: 7.851 +-0.140 (13807) 2021-02-05 01:04:29.408: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13807) 2021-02-05 01:04:30.773: INFO @metrics_hook: valid age_mae: 8.279 +-0.272 (3986) 2021-02-05 01:04:30.773: INFO @metrics_hook: valid gender_accuracy: 0.897 +-0.010 (3986) 2021-02-05 01:04:32.126: INFO @decay_lr : LR updated to `4.3117456e-05` 2021-02-05 01:04:32.127: INFO @log_profile : T train: 12.963748 2021-02-05 01:04:32.127: INFO @log_profile : T valid: 1.589751 2021-02-05 01:04:32.127: INFO @log_profile : T read data: 0.516585 2021-02-05 01:04:32.127: INFO @log_profile : T hooks: 3.324693 2021-02-05 01:04:32.127: INFO @main_loop : Epoch 387 done 2021-02-05 01:04:32.127: INFO @main_loop : Training epoch 388 2021-02-05 01:04:47.695: INFO @log_variables: train loss nanmean: 1.102639 2021-02-05 01:04:47.695: INFO @log_variables: train age_loss mean: 8.354362 2021-02-05 01:04:47.695: INFO @log_variables: train gender_loss mean: 0.237737 2021-02-05 01:04:47.695: INFO @log_variables: train age_mae mean: 7.805851 2021-02-05 01:04:47.695: INFO @log_variables: train gender_accuracy mean: 0.900752 2021-02-05 01:04:47.695: INFO @log_variables: train gender_confidence/loss nanmean: 0.066406 2021-02-05 01:04:47.695: INFO @log_variables: train gender_confidence/accuracy mean: 0.799262 2021-02-05 01:04:47.695: INFO @log_variables: train age_confidence/loss mean: 0.060621 2021-02-05 01:04:47.695: INFO @log_variables: train age_confidence/accuracy mean: 0.660880 2021-02-05 01:04:47.695: INFO @log_variables: valid loss nanmean: 1.190451 2021-02-05 01:04:47.695: INFO @log_variables: valid age_loss mean: 8.758965 2021-02-05 01:04:47.696: INFO @log_variables: valid gender_loss mean: 0.280706 2021-02-05 01:04:47.696: INFO @log_variables: valid age_mae mean: 8.185666 2021-02-05 01:04:47.696: INFO @log_variables: valid gender_accuracy mean: 0.894631 2021-02-05 01:04:47.696: INFO @log_variables: valid gender_confidence/loss nanmean: 0.077347 2021-02-05 01:04:47.696: INFO @log_variables: valid gender_confidence/accuracy mean: 0.849724 2021-02-05 01:04:47.696: INFO @log_variables: valid age_confidence/loss mean: 0.061646 2021-02-05 01:04:47.696: INFO @log_variables: valid age_confidence/accuracy mean: 0.637732 2021-02-05 01:04:47.696: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:04:47.698: INFO @metrics_hook: train age_mae: 7.806 +-0.138 (13824) 2021-02-05 01:04:47.699: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13824) 2021-02-05 01:04:49.107: INFO @metrics_hook: valid age_mae: 8.186 +-0.262 (3986) 2021-02-05 01:04:49.108: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:04:50.330: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:04:50.330: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:04:50.330: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.46 +- 0.19 2021-02-05 01:04:50.330: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:04:50.407: INFO @evaluate_confidence: Previous accuracy would be: 90.08 2021-02-05 01:04:50.407: INFO @evaluate_confidence: Possible optimal thresholds are: [0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74] 2021-02-05 01:04:50.413: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.75, 94.89, 95.1, 95.25, 95.41, 95.58, 95.69, 95.84, 95.92, 96.04, 96.17, 96.29, 96.43, 96.58, 96.67, 96.88, 96.98, 97.08, 97.22, 97.3, 97.45, 97.61, 97.7, 97.75, 97.82, 97.89, 97.96, 97.98, 98.1] 2021-02-05 01:04:50.413: INFO @evaluate_confidence: Dropped ratios are: [19.31, 20.1, 21.1, 21.87, 22.92, 23.84, 24.72, 25.52, 26.43, 27.37, 28.27, 29.09, 29.95, 30.82, 31.57, 32.61, 33.55, 34.51, 35.45, 36.42, 37.38, 38.36, 39.23, 40.21, 41.2, 42.19, 43.18, 44.14, 45.15] 2021-02-05 01:04:50.419: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:04:50.419: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:04:50.419: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:04:50.419: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:04:50.514: INFO @evaluate_confidence: Previous accuracy would be: 48.34 2021-02-05 01:04:50.514: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:04:50.518: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.35, 63.23, 64.24, 65.13, 66.24, 67.23, 68.41, 69.19, 70.03, 70.93, 71.9, 72.74, 73.79, 74.52, 75.31, 76.09] 2021-02-05 01:04:50.518: INFO @evaluate_confidence: Dropped ratios are: [47.87, 50.19, 52.42, 54.71, 56.85, 58.83, 60.75, 62.58, 64.01, 65.7, 67.22, 68.5, 69.72, 70.96, 72.37, 73.55] 2021-02-05 01:04:50.520: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:04:50.520: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 01:04:50.520: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 01:04:50.520: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:04:50.596: INFO @evaluate_confidence: Previous accuracy would be: 89.46 2021-02-05 01:04:50.596: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:04:50.598: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.04, 94.34, 94.53, 94.67, 94.9, 94.96, 95.04, 95.13, 95.24, 95.29, 95.52, 95.71, 95.85, 95.91, 96.16, 96.33, 96.55, 96.65, 96.79, 96.93, 96.93, 97.12, 97.28, 97.39, 97.51] 2021-02-05 01:04:50.598: INFO @evaluate_confidence: Dropped ratios are: [18.79, 19.72, 20.72, 21.45, 22.33, 22.85, 23.63, 24.31, 25.19, 25.89, 26.72, 27.52, 28.65, 29.48, 30.71, 32.24, 33.09, 34.02, 35.05, 36.25, 37.08, 38.16, 39.21, 40.42, 41.62] 2021-02-05 01:04:50.599: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:04:50.600: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:04:50.600: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:04:50.600: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:04:50.684: INFO @evaluate_confidence: Previous accuracy would be: 45.08 2021-02-05 01:04:50.684: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:04:50.686: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.97, 56.95, 57.84, 59.2, 60.27, 61.18, 62.55, 63.52, 64.44, 65.89, 67.09, 68.12] 2021-02-05 01:04:50.686: INFO @evaluate_confidence: Dropped ratios are: [49.75, 52.91, 55.67, 58.81, 61.41, 63.55, 65.63, 67.26, 69.17, 70.95, 72.63, 74.03] 2021-02-05 01:04:50.695: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:04:51.096: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:04:51.154: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:04:51.440: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:04:51.604: INFO @decay_lr : LR updated to `4.290187e-05` 2021-02-05 01:04:51.605: INFO @log_profile : T train: 12.877412 2021-02-05 01:04:51.605: INFO @log_profile : T valid: 1.632145 2021-02-05 01:04:51.605: INFO @log_profile : T read data: 0.405038 2021-02-05 01:04:51.605: INFO @log_profile : T hooks: 4.514492 2021-02-05 01:04:51.605: INFO @main_loop : Epoch 388 done 2021-02-05 01:04:51.605: INFO @main_loop : Training epoch 389 2021-02-05 01:05:06.462: INFO @log_variables: train loss nanmean: 1.091742 2021-02-05 01:05:06.462: INFO @log_variables: train age_loss mean: 8.255254 2021-02-05 01:05:06.462: INFO @log_variables: train gender_loss mean: 0.237080 2021-02-05 01:05:06.462: INFO @log_variables: train age_mae mean: 7.709054 2021-02-05 01:05:06.462: INFO @log_variables: train gender_accuracy mean: 0.901259 2021-02-05 01:05:06.462: INFO @log_variables: train gender_confidence/loss nanmean: 0.065512 2021-02-05 01:05:06.462: INFO @log_variables: train gender_confidence/accuracy mean: 0.800203 2021-02-05 01:05:06.462: INFO @log_variables: train age_confidence/loss mean: 0.060226 2021-02-05 01:05:06.462: INFO @log_variables: train age_confidence/accuracy mean: 0.666594 2021-02-05 01:05:06.462: INFO @log_variables: valid loss nanmean: 1.204153 2021-02-05 01:05:06.462: INFO @log_variables: valid age_loss mean: 8.899482 2021-02-05 01:05:06.462: INFO @log_variables: valid gender_loss mean: 0.280978 2021-02-05 01:05:06.462: INFO @log_variables: valid age_mae mean: 8.322992 2021-02-05 01:05:06.462: INFO @log_variables: valid gender_accuracy mean: 0.893628 2021-02-05 01:05:06.462: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076639 2021-02-05 01:05:06.462: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850226 2021-02-05 01:05:06.463: INFO @log_variables: valid age_confidence/loss mean: 0.063036 2021-02-05 01:05:06.463: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 01:05:06.463: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:05:06.464: INFO @metrics_hook: train age_mae: 7.709 +-0.136 (13824) 2021-02-05 01:05:06.466: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13824) 2021-02-05 01:05:07.859: INFO @metrics_hook: valid age_mae: 8.323 +-0.271 (3986) 2021-02-05 01:05:07.860: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:05:09.180: INFO @decay_lr : LR updated to `4.268736e-05` 2021-02-05 01:05:09.181: INFO @log_profile : T train: 12.309436 2021-02-05 01:05:09.181: INFO @log_profile : T valid: 1.511563 2021-02-05 01:05:09.181: INFO @log_profile : T read data: 0.400143 2021-02-05 01:05:09.181: INFO @log_profile : T hooks: 3.309706 2021-02-05 01:05:09.181: INFO @main_loop : Epoch 389 done 2021-02-05 01:05:09.181: INFO @main_loop : Training epoch 390 2021-02-05 01:05:25.410: INFO @log_variables: train loss nanmean: 1.095962 2021-02-05 01:05:25.410: INFO @log_variables: train age_loss mean: 8.260539 2021-02-05 01:05:25.410: INFO @log_variables: train gender_loss mean: 0.241877 2021-02-05 01:05:25.410: INFO @log_variables: train age_mae mean: 7.716721 2021-02-05 01:05:25.410: INFO @log_variables: train gender_accuracy mean: 0.897733 2021-02-05 01:05:25.410: INFO @log_variables: train gender_confidence/loss nanmean: 0.064892 2021-02-05 01:05:25.410: INFO @log_variables: train gender_confidence/accuracy mean: 0.802926 2021-02-05 01:05:25.410: INFO @log_variables: train age_confidence/loss mean: 0.060223 2021-02-05 01:05:25.410: INFO @log_variables: train age_confidence/accuracy mean: 0.665315 2021-02-05 01:05:25.410: INFO @log_variables: valid loss nanmean: 1.192388 2021-02-05 01:05:25.410: INFO @log_variables: valid age_loss mean: 8.866719 2021-02-05 01:05:25.411: INFO @log_variables: valid gender_loss mean: 0.274405 2021-02-05 01:05:25.411: INFO @log_variables: valid age_mae mean: 8.290894 2021-02-05 01:05:25.411: INFO @log_variables: valid gender_accuracy mean: 0.894129 2021-02-05 01:05:25.411: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074534 2021-02-05 01:05:25.411: INFO @log_variables: valid gender_confidence/accuracy mean: 0.850477 2021-02-05 01:05:25.411: INFO @log_variables: valid age_confidence/loss mean: 0.062329 2021-02-05 01:05:25.411: INFO @log_variables: valid age_confidence/accuracy mean: 0.633718 2021-02-05 01:05:25.411: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:05:25.413: INFO @metrics_hook: train age_mae: 7.717 +-0.136 (13807) 2021-02-05 01:05:25.414: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13807) 2021-02-05 01:05:26.804: INFO @metrics_hook: valid age_mae: 8.291 +-0.267 (3986) 2021-02-05 01:05:26.804: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:05:28.023: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:05:28.023: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.76 +- 0.22 2021-02-05 01:05:28.024: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:05:28.024: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.24 2021-02-05 01:05:28.100: INFO @evaluate_confidence: Previous accuracy would be: 89.77 2021-02-05 01:05:28.101: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:05:28.106: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.6, 94.79, 94.88, 95.04, 95.14, 95.35, 95.48, 95.75, 95.88, 96.11, 96.26, 96.37, 96.5, 96.62, 96.8, 96.93, 97.03, 97.15, 97.29, 97.38, 97.45, 97.48, 97.61, 97.73, 97.78, 97.77, 97.86, 98.0, 98.14] 2021-02-05 01:05:28.106: INFO @evaluate_confidence: Dropped ratios are: [19.45, 20.4, 21.25, 22.21, 23.19, 24.15, 24.98, 25.92, 26.88, 27.88, 28.69, 29.56, 30.35, 31.25, 32.19, 33.18, 34.08, 35.1, 35.94, 36.92, 37.8, 38.87, 39.82, 40.78, 41.8, 42.82, 43.89, 44.93, 45.9] 2021-02-05 01:05:28.112: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:05:28.112: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:05:28.112: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:05:28.112: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:05:28.204: INFO @evaluate_confidence: Previous accuracy would be: 48.89 2021-02-05 01:05:28.204: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:05:28.208: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.44, 63.53, 64.52, 65.85, 66.61, 67.59, 68.6, 69.59, 70.39, 71.31, 72.28, 73.41, 74.24, 75.23, 75.97, 76.85] 2021-02-05 01:05:28.208: INFO @evaluate_confidence: Dropped ratios are: [46.07, 48.58, 50.85, 53.13, 55.03, 57.03, 58.87, 60.59, 62.21, 63.98, 65.51, 66.9, 68.39, 69.73, 70.94, 72.22] 2021-02-05 01:05:28.210: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:05:28.210: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.82 +- 0.19 2021-02-05 01:05:28.210: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.19 2021-02-05 01:05:28.210: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:05:28.283: INFO @evaluate_confidence: Previous accuracy would be: 89.41 2021-02-05 01:05:28.283: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:05:28.285: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.08, 94.3, 94.47, 94.63, 94.82, 95.05, 95.21, 95.44, 95.6, 95.82, 95.9, 95.92, 96.01, 96.12, 96.1, 96.37, 96.51, 96.6, 96.81, 97.04, 97.1, 97.26, 97.44, 97.49, 97.73] 2021-02-05 01:05:28.285: INFO @evaluate_confidence: Dropped ratios are: [18.67, 19.39, 20.22, 21.05, 22.03, 23.03, 23.98, 24.56, 25.24, 26.12, 27.27, 28.07, 28.98, 30.13, 31.08, 32.31, 33.22, 34.4, 35.42, 36.53, 37.73, 38.71, 40.14, 41.09, 42.47] 2021-02-05 01:05:28.287: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:05:28.287: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:05:28.287: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:05:28.287: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 01:05:28.367: INFO @evaluate_confidence: Previous accuracy would be: 44.73 2021-02-05 01:05:28.367: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:05:28.368: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.9, 57.06, 58.07, 59.15, 60.13, 60.28, 61.52, 62.13, 62.7, 63.86, 64.15, 65.34] 2021-02-05 01:05:28.368: INFO @evaluate_confidence: Dropped ratios are: [50.5, 53.26, 55.85, 58.48, 60.86, 62.79, 64.93, 66.61, 68.39, 70.5, 72.08, 73.51] 2021-02-05 01:05:28.378: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:05:28.760: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:05:28.818: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:05:29.091: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:05:29.152: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:05:29.522: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:05:29.579: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:05:29.580: INFO @evaluate_gender-age_model: groups 0 4.324961 1 8.000830 2 8.655495 3 8.142530 4 8.623011 5 8.476506 6 8.142920 7 6.873597 Name: errors, dtype: float64 2021-02-05 01:05:29.580: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:05:29.853: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:05:29.911: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:05:29.912: INFO @evaluate_gender-age_model: groups 0 5.867116 1 7.691765 2 7.974584 3 7.410654 4 9.187082 5 9.688042 6 9.243965 7 7.671543 Name: errors, dtype: float64 2021-02-05 01:05:30.013: INFO @decay_lr : LR updated to `4.2473923e-05` 2021-02-05 01:05:30.014: INFO @log_profile : T train: 12.862797 2021-02-05 01:05:30.014: INFO @log_profile : T valid: 1.631736 2021-02-05 01:05:30.014: INFO @log_profile : T read data: 0.505772 2021-02-05 01:05:30.014: INFO @log_profile : T hooks: 5.783571 2021-02-05 01:05:30.014: INFO @main_loop : Epoch 390 done 2021-02-05 01:05:30.014: INFO @main_loop : Training epoch 391 2021-02-05 01:05:45.574: INFO @log_variables: train loss nanmean: 1.111826 2021-02-05 01:05:45.574: INFO @log_variables: train age_loss mean: 8.401830 2021-02-05 01:05:45.574: INFO @log_variables: train gender_loss mean: 0.244140 2021-02-05 01:05:45.575: INFO @log_variables: train age_mae mean: 7.850031 2021-02-05 01:05:45.575: INFO @log_variables: train gender_accuracy mean: 0.896846 2021-02-05 01:05:45.575: INFO @log_variables: train gender_confidence/loss nanmean: 0.066382 2021-02-05 01:05:45.575: INFO @log_variables: train gender_confidence/accuracy mean: 0.797960 2021-02-05 01:05:45.575: INFO @log_variables: train age_confidence/loss mean: 0.059695 2021-02-05 01:05:45.575: INFO @log_variables: train age_confidence/accuracy mean: 0.667824 2021-02-05 01:05:45.575: INFO @log_variables: valid loss nanmean: 1.190824 2021-02-05 01:05:45.575: INFO @log_variables: valid age_loss mean: 8.798288 2021-02-05 01:05:45.575: INFO @log_variables: valid gender_loss mean: 0.275897 2021-02-05 01:05:45.575: INFO @log_variables: valid age_mae mean: 8.225001 2021-02-05 01:05:45.575: INFO @log_variables: valid gender_accuracy mean: 0.895133 2021-02-05 01:05:45.575: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076978 2021-02-05 01:05:45.575: INFO @log_variables: valid gender_confidence/accuracy mean: 0.856247 2021-02-05 01:05:45.575: INFO @log_variables: valid age_confidence/loss mean: 0.063186 2021-02-05 01:05:45.575: INFO @log_variables: valid age_confidence/accuracy mean: 0.631962 2021-02-05 01:05:45.576: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:05:45.578: INFO @metrics_hook: train age_mae: 7.850 +-0.138 (13824) 2021-02-05 01:05:45.580: INFO @metrics_hook: train gender_accuracy: 0.897 +-0.005 (13824) 2021-02-05 01:05:46.974: INFO @metrics_hook: valid age_mae: 8.225 +-0.266 (3986) 2021-02-05 01:05:46.974: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:05:48.316: INFO @decay_lr : LR updated to `4.2261552e-05` 2021-02-05 01:05:48.317: INFO @log_profile : T train: 12.860062 2021-02-05 01:05:48.317: INFO @log_profile : T valid: 1.645948 2021-02-05 01:05:48.317: INFO @log_profile : T read data: 0.396623 2021-02-05 01:05:48.317: INFO @log_profile : T hooks: 3.351455 2021-02-05 01:05:48.317: INFO @main_loop : Epoch 391 done 2021-02-05 01:05:48.317: INFO @main_loop : Training epoch 392 2021-02-05 01:06:03.905: INFO @log_variables: train loss nanmean: 1.110102 2021-02-05 01:06:03.905: INFO @log_variables: train age_loss mean: 8.344659 2021-02-05 01:06:03.905: INFO @log_variables: train gender_loss mean: 0.246403 2021-02-05 01:06:03.905: INFO @log_variables: train age_mae mean: 7.797449 2021-02-05 01:06:03.905: INFO @log_variables: train gender_accuracy mean: 0.898148 2021-02-05 01:06:03.905: INFO @log_variables: train gender_confidence/loss nanmean: 0.067154 2021-02-05 01:06:03.905: INFO @log_variables: train gender_confidence/accuracy mean: 0.791522 2021-02-05 01:06:03.905: INFO @log_variables: train age_confidence/loss mean: 0.060340 2021-02-05 01:06:03.905: INFO @log_variables: train age_confidence/accuracy mean: 0.662905 2021-02-05 01:06:03.905: INFO @log_variables: valid loss nanmean: 1.186220 2021-02-05 01:06:03.906: INFO @log_variables: valid age_loss mean: 8.799009 2021-02-05 01:06:03.906: INFO @log_variables: valid gender_loss mean: 0.271524 2021-02-05 01:06:03.906: INFO @log_variables: valid age_mae mean: 8.222569 2021-02-05 01:06:03.906: INFO @log_variables: valid gender_accuracy mean: 0.895384 2021-02-05 01:06:03.906: INFO @log_variables: valid gender_confidence/loss nanmean: 0.075842 2021-02-05 01:06:03.906: INFO @log_variables: valid gender_confidence/accuracy mean: 0.855243 2021-02-05 01:06:03.906: INFO @log_variables: valid age_confidence/loss mean: 0.063629 2021-02-05 01:06:03.906: INFO @log_variables: valid age_confidence/accuracy mean: 0.631460 2021-02-05 01:06:03.906: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:06:03.908: INFO @metrics_hook: train age_mae: 7.797 +-0.139 (13824) 2021-02-05 01:06:03.909: INFO @metrics_hook: train gender_accuracy: 0.898 +-0.005 (13824) 2021-02-05 01:06:05.309: INFO @metrics_hook: valid age_mae: 8.223 +-0.271 (3986) 2021-02-05 01:06:05.309: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:06:06.551: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:06:06.551: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:06:06.551: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:06:06.551: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:06:06.628: INFO @evaluate_confidence: Previous accuracy would be: 89.81 2021-02-05 01:06:06.628: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:06:06.634: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.48, 94.57, 94.76, 94.9, 95.0, 95.15, 95.34, 95.46, 95.68, 95.88, 96.01, 96.16, 96.3, 96.43, 96.53, 96.62, 96.72, 96.78, 97.0, 97.09, 97.21, 97.27, 97.36, 97.5, 97.59, 97.69, 97.84, 97.96, 98.08] 2021-02-05 01:06:06.634: INFO @evaluate_confidence: Dropped ratios are: [20.24, 21.1, 22.18, 23.19, 23.91, 24.78, 25.75, 26.8, 27.7, 28.71, 29.73, 30.57, 31.52, 32.49, 33.33, 34.3, 35.18, 36.1, 37.25, 38.27, 39.37, 40.44, 41.39, 42.46, 43.48, 44.57, 45.66, 46.74, 47.71] 2021-02-05 01:06:06.640: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:06:06.640: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.56 +- 0.22 2021-02-05 01:06:06.640: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:06:06.640: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:06:06.735: INFO @evaluate_confidence: Previous accuracy would be: 48.22 2021-02-05 01:06:06.735: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56] 2021-02-05 01:06:06.739: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.45, 63.65, 64.61, 65.63, 66.48, 67.42, 68.6, 69.43, 70.44, 71.29, 71.93, 72.89, 73.79, 74.68, 75.48] 2021-02-05 01:06:06.739: INFO @evaluate_confidence: Dropped ratios are: [48.73, 51.16, 53.42, 55.64, 57.57, 59.55, 61.26, 62.85, 64.5, 65.98, 67.45, 68.79, 70.03, 71.34, 72.48] 2021-02-05 01:06:06.741: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:06:06.741: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:06:06.741: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 01:06:06.741: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:06:06.818: INFO @evaluate_confidence: Previous accuracy would be: 89.54 2021-02-05 01:06:06.818: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:06:06.820: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.03, 94.14, 94.27, 94.34, 94.45, 94.72, 94.89, 95.18, 95.27, 95.56, 95.76, 95.85, 96.0, 96.15, 96.28, 96.37, 96.49, 96.73, 96.87, 96.96, 97.21, 97.32, 97.31, 97.34, 97.42] 2021-02-05 01:06:06.820: INFO @evaluate_confidence: Dropped ratios are: [18.06, 18.64, 19.42, 20.17, 20.87, 21.58, 22.35, 23.56, 24.16, 24.91, 26.02, 26.77, 27.95, 28.95, 29.93, 30.93, 32.09, 33.29, 34.27, 35.52, 36.98, 38.13, 39.29, 40.64, 41.6] 2021-02-05 01:06:06.821: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:06:06.822: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:06:06.822: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.13 2021-02-05 01:06:06.822: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.17 2021-02-05 01:06:06.906: INFO @evaluate_confidence: Previous accuracy would be: 45.33 2021-02-05 01:06:06.906: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:06:06.907: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.68, 58.7, 59.86, 60.64, 61.34, 61.75, 62.63, 62.68, 63.42, 64.6, 65.47] 2021-02-05 01:06:06.907: INFO @evaluate_confidence: Dropped ratios are: [52.33, 55.17, 57.75, 60.04, 62.49, 64.65, 66.43, 68.14, 69.89, 71.3, 72.75] 2021-02-05 01:06:06.917: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:06:07.307: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:06:07.368: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:06:07.653: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:06:07.814: INFO @decay_lr : LR updated to `4.2050244e-05` 2021-02-05 01:06:07.815: INFO @log_profile : T train: 12.945441 2021-02-05 01:06:07.815: INFO @log_profile : T valid: 1.609601 2021-02-05 01:06:07.815: INFO @log_profile : T read data: 0.398823 2021-02-05 01:06:07.815: INFO @log_profile : T hooks: 4.496015 2021-02-05 01:06:07.815: INFO @main_loop : Epoch 392 done 2021-02-05 01:06:07.815: INFO @main_loop : Training epoch 393 2021-02-05 01:06:23.512: INFO @log_variables: train loss nanmean: 1.106190 2021-02-05 01:06:23.512: INFO @log_variables: train age_loss mean: 8.305323 2021-02-05 01:06:23.512: INFO @log_variables: train gender_loss mean: 0.246063 2021-02-05 01:06:23.513: INFO @log_variables: train age_mae mean: 7.759310 2021-02-05 01:06:23.513: INFO @log_variables: train gender_accuracy mean: 0.899761 2021-02-05 01:06:23.513: INFO @log_variables: train gender_confidence/loss nanmean: 0.067454 2021-02-05 01:06:23.513: INFO @log_variables: train gender_confidence/accuracy mean: 0.794235 2021-02-05 01:06:23.513: INFO @log_variables: train age_confidence/loss mean: 0.060013 2021-02-05 01:06:23.513: INFO @log_variables: train age_confidence/accuracy mean: 0.665822 2021-02-05 01:06:23.513: INFO @log_variables: valid loss nanmean: 1.188548 2021-02-05 01:06:23.513: INFO @log_variables: valid age_loss mean: 8.883669 2021-02-05 01:06:23.513: INFO @log_variables: valid gender_loss mean: 0.269633 2021-02-05 01:06:23.513: INFO @log_variables: valid age_mae mean: 8.304485 2021-02-05 01:06:23.513: INFO @log_variables: valid gender_accuracy mean: 0.895635 2021-02-05 01:06:23.513: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072654 2021-02-05 01:06:23.513: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848219 2021-02-05 01:06:23.513: INFO @log_variables: valid age_confidence/loss mean: 0.063168 2021-02-05 01:06:23.514: INFO @log_variables: valid age_confidence/accuracy mean: 0.632213 2021-02-05 01:06:23.514: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:06:23.515: INFO @metrics_hook: train age_mae: 7.759 +-0.136 (13807) 2021-02-05 01:06:23.517: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13807) 2021-02-05 01:06:24.929: INFO @metrics_hook: valid age_mae: 8.304 +-0.270 (3986) 2021-02-05 01:06:24.930: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 01:06:26.287: INFO @decay_lr : LR updated to `4.1839994e-05` 2021-02-05 01:06:26.288: INFO @log_profile : T train: 12.898371 2021-02-05 01:06:26.288: INFO @log_profile : T valid: 1.620818 2021-02-05 01:06:26.288: INFO @log_profile : T read data: 0.524884 2021-02-05 01:06:26.288: INFO @log_profile : T hooks: 3.379780 2021-02-05 01:06:26.288: INFO @main_loop : Epoch 393 done 2021-02-05 01:06:26.288: INFO @main_loop : Training epoch 394 2021-02-05 01:06:41.309: INFO @log_variables: train loss nanmean: 1.102437 2021-02-05 01:06:41.309: INFO @log_variables: train age_loss mean: 8.296346 2021-02-05 01:06:41.309: INFO @log_variables: train gender_loss mean: 0.241888 2021-02-05 01:06:41.309: INFO @log_variables: train age_mae mean: 7.747391 2021-02-05 01:06:41.309: INFO @log_variables: train gender_accuracy mean: 0.901548 2021-02-05 01:06:41.309: INFO @log_variables: train gender_confidence/loss nanmean: 0.067875 2021-02-05 01:06:41.309: INFO @log_variables: train gender_confidence/accuracy mean: 0.796586 2021-02-05 01:06:41.310: INFO @log_variables: train age_confidence/loss mean: 0.060450 2021-02-05 01:06:41.310: INFO @log_variables: train age_confidence/accuracy mean: 0.665943 2021-02-05 01:06:41.310: INFO @log_variables: valid loss nanmean: 1.186646 2021-02-05 01:06:41.310: INFO @log_variables: valid age_loss mean: 8.816624 2021-02-05 01:06:41.310: INFO @log_variables: valid gender_loss mean: 0.273263 2021-02-05 01:06:41.310: INFO @log_variables: valid age_mae mean: 8.240265 2021-02-05 01:06:41.310: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 01:06:41.310: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072999 2021-02-05 01:06:41.310: INFO @log_variables: valid gender_confidence/accuracy mean: 0.851229 2021-02-05 01:06:41.310: INFO @log_variables: valid age_confidence/loss mean: 0.063715 2021-02-05 01:06:41.310: INFO @log_variables: valid age_confidence/accuracy mean: 0.629453 2021-02-05 01:06:41.310: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:06:41.312: INFO @metrics_hook: train age_mae: 7.747 +-0.137 (13824) 2021-02-05 01:06:41.313: INFO @metrics_hook: train gender_accuracy: 0.902 +-0.005 (13824) 2021-02-05 01:06:42.722: INFO @metrics_hook: valid age_mae: 8.240 +-0.268 (3986) 2021-02-05 01:06:42.722: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:06:43.960: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:06:43.960: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:06:43.960: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:06:43.960: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:06:44.038: INFO @evaluate_confidence: Previous accuracy would be: 90.15 2021-02-05 01:06:44.038: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:06:44.044: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.44, 94.67, 94.81, 94.99, 95.16, 95.3, 95.41, 95.53, 95.76, 95.98, 96.19, 96.34, 96.37, 96.45, 96.61, 96.78, 96.95, 97.07, 97.24, 97.31, 97.41, 97.57, 97.63, 97.72, 97.81, 97.94, 98.0, 98.11, 98.15] 2021-02-05 01:06:44.044: INFO @evaluate_confidence: Dropped ratios are: [19.91, 20.8, 21.57, 22.42, 23.39, 24.34, 25.21, 25.99, 27.04, 27.96, 29.02, 29.96, 30.96, 31.86, 32.92, 33.82, 34.7, 35.67, 36.67, 37.62, 38.53, 39.5, 40.44, 41.5, 42.43, 43.42, 44.39, 45.38, 46.55] 2021-02-05 01:06:44.050: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:06:44.050: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:06:44.050: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:06:44.050: INFO @evaluate_confidence: Average confidence of all samples 0.50 +- 0.19 2021-02-05 01:06:44.149: INFO @evaluate_confidence: Previous accuracy would be: 48.78 2021-02-05 01:06:44.149: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:06:44.153: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.25, 63.22, 64.22, 65.14, 66.19, 67.48, 68.4, 69.4, 70.53, 71.42, 72.35, 73.31, 74.52, 75.19, 76.23, 77.23] 2021-02-05 01:06:44.153: INFO @evaluate_confidence: Dropped ratios are: [46.4, 48.71, 51.11, 53.08, 55.2, 57.22, 59.07, 60.78, 62.57, 64.16, 65.7, 67.17, 68.58, 69.85, 71.3, 72.64] 2021-02-05 01:06:44.155: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:06:44.155: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:06:44.155: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.57 +- 0.20 2021-02-05 01:06:44.155: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:06:44.230: INFO @evaluate_confidence: Previous accuracy would be: 89.44 2021-02-05 01:06:44.230: INFO @evaluate_confidence: Possible optimal thresholds are: [0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:06:44.232: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.26, 94.51, 94.61, 94.7, 94.86, 94.91, 95.08, 95.33, 95.6, 95.61, 95.8, 95.89, 96.0, 96.15, 96.28, 96.39, 96.52, 96.66, 96.69, 96.83, 96.85, 96.96, 97.14, 97.46, 97.53, 97.57] 2021-02-05 01:06:44.232: INFO @evaluate_confidence: Dropped ratios are: [17.89, 18.72, 19.47, 20.02, 20.9, 21.63, 22.48, 23.16, 24.23, 25.09, 25.89, 26.74, 27.82, 28.9, 29.8, 31.13, 32.14, 33.17, 34.07, 35.12, 36.28, 37.28, 38.64, 39.81, 41.04, 42.1] 2021-02-05 01:06:44.234: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:06:44.234: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 01:06:44.234: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:06:44.234: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:06:44.317: INFO @evaluate_confidence: Previous accuracy would be: 45.41 2021-02-05 01:06:44.317: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 01:06:44.318: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [56.22, 57.54, 58.14, 59.01, 60.03, 60.83, 61.93, 63.06, 64.16, 64.88] 2021-02-05 01:06:44.318: INFO @evaluate_confidence: Dropped ratios are: [49.97, 53.44, 56.25, 58.63, 61.34, 63.87, 65.93, 68.01, 69.97, 71.5] 2021-02-05 01:06:44.328: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:06:44.713: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:06:44.771: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:06:45.055: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:06:45.221: INFO @decay_lr : LR updated to `4.1630796e-05` 2021-02-05 01:06:45.222: INFO @log_profile : T train: 12.463574 2021-02-05 01:06:45.222: INFO @log_profile : T valid: 1.529663 2021-02-05 01:06:45.222: INFO @log_profile : T read data: 0.401869 2021-02-05 01:06:45.222: INFO @log_profile : T hooks: 4.494889 2021-02-05 01:06:45.222: INFO @main_loop : Epoch 394 done 2021-02-05 01:06:45.222: INFO @main_loop : Training epoch 395 2021-02-05 01:07:00.770: INFO @log_variables: train loss nanmean: 1.091152 2021-02-05 01:07:00.771: INFO @log_variables: train age_loss mean: 8.226736 2021-02-05 01:07:00.771: INFO @log_variables: train gender_loss mean: 0.238588 2021-02-05 01:07:00.771: INFO @log_variables: train age_mae mean: 7.680299 2021-02-05 01:07:00.771: INFO @log_variables: train gender_accuracy mean: 0.900897 2021-02-05 01:07:00.771: INFO @log_variables: train gender_confidence/loss nanmean: 0.065805 2021-02-05 01:07:00.771: INFO @log_variables: train gender_confidence/accuracy mean: 0.804760 2021-02-05 01:07:00.771: INFO @log_variables: train age_confidence/loss mean: 0.060564 2021-02-05 01:07:00.771: INFO @log_variables: train age_confidence/accuracy mean: 0.664207 2021-02-05 01:07:00.771: INFO @log_variables: valid loss nanmean: 1.181072 2021-02-05 01:07:00.771: INFO @log_variables: valid age_loss mean: 8.787242 2021-02-05 01:07:00.771: INFO @log_variables: valid gender_loss mean: 0.271260 2021-02-05 01:07:00.771: INFO @log_variables: valid age_mae mean: 8.214649 2021-02-05 01:07:00.771: INFO @log_variables: valid gender_accuracy mean: 0.892624 2021-02-05 01:07:00.771: INFO @log_variables: valid gender_confidence/loss nanmean: 0.072880 2021-02-05 01:07:00.771: INFO @log_variables: valid gender_confidence/accuracy mean: 0.852985 2021-02-05 01:07:00.771: INFO @log_variables: valid age_confidence/loss mean: 0.062752 2021-02-05 01:07:00.771: INFO @log_variables: valid age_confidence/accuracy mean: 0.630457 2021-02-05 01:07:00.771: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:07:00.773: INFO @metrics_hook: train age_mae: 7.680 +-0.137 (13824) 2021-02-05 01:07:00.775: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13824) 2021-02-05 01:07:02.280: INFO @metrics_hook: valid age_mae: 8.215 +-0.265 (3986) 2021-02-05 01:07:02.281: INFO @metrics_hook: valid gender_accuracy: 0.893 +-0.010 (3986) 2021-02-05 01:07:03.698: INFO @decay_lr : LR updated to `4.142264e-05` 2021-02-05 01:07:03.699: INFO @log_profile : T train: 12.849388 2021-02-05 01:07:03.699: INFO @log_profile : T valid: 1.648310 2021-02-05 01:07:03.699: INFO @log_profile : T read data: 0.401274 2021-02-05 01:07:03.699: INFO @log_profile : T hooks: 3.529599 2021-02-05 01:07:03.700: INFO @main_loop : Epoch 395 done 2021-02-05 01:07:03.700: INFO @main_loop : Training epoch 396 2021-02-05 01:07:18.967: INFO @log_variables: train loss nanmean: 1.096602 2021-02-05 01:07:18.967: INFO @log_variables: train age_loss mean: 8.325229 2021-02-05 01:07:18.967: INFO @log_variables: train gender_loss mean: 0.233072 2021-02-05 01:07:18.968: INFO @log_variables: train age_mae mean: 7.780236 2021-02-05 01:07:18.968: INFO @log_variables: train gender_accuracy mean: 0.905193 2021-02-05 01:07:18.968: INFO @log_variables: train gender_confidence/loss nanmean: 0.067367 2021-02-05 01:07:18.968: INFO @log_variables: train gender_confidence/accuracy mean: 0.799522 2021-02-05 01:07:18.968: INFO @log_variables: train age_confidence/loss mean: 0.060513 2021-02-05 01:07:18.968: INFO @log_variables: train age_confidence/accuracy mean: 0.665749 2021-02-05 01:07:18.968: INFO @log_variables: valid loss nanmean: 1.183892 2021-02-05 01:07:18.968: INFO @log_variables: valid age_loss mean: 8.766097 2021-02-05 01:07:18.968: INFO @log_variables: valid gender_loss mean: 0.273819 2021-02-05 01:07:18.968: INFO @log_variables: valid age_mae mean: 8.192656 2021-02-05 01:07:18.968: INFO @log_variables: valid gender_accuracy mean: 0.896136 2021-02-05 01:07:18.968: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074361 2021-02-05 01:07:18.968: INFO @log_variables: valid gender_confidence/accuracy mean: 0.852735 2021-02-05 01:07:18.968: INFO @log_variables: valid age_confidence/loss mean: 0.063687 2021-02-05 01:07:18.968: INFO @log_variables: valid age_confidence/accuracy mean: 0.630708 2021-02-05 01:07:18.968: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:07:18.970: INFO @metrics_hook: train age_mae: 7.780 +-0.139 (13807) 2021-02-05 01:07:18.972: INFO @metrics_hook: train gender_accuracy: 0.905 +-0.005 (13807) 2021-02-05 01:07:20.394: INFO @metrics_hook: valid age_mae: 8.193 +-0.269 (3986) 2021-02-05 01:07:20.394: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 01:07:21.664: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:07:21.664: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:07:21.664: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:07:21.665: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:07:21.741: INFO @evaluate_confidence: Previous accuracy would be: 90.52 2021-02-05 01:07:21.742: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:07:21.747: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.8, 94.96, 95.13, 95.23, 95.38, 95.51, 95.66, 95.8, 95.98, 96.21, 96.32, 96.45, 96.57, 96.71, 96.79, 96.95, 97.08, 97.2, 97.32, 97.49, 97.52, 97.62, 97.7, 97.87, 97.93, 97.98, 98.07, 98.2, 98.27] 2021-02-05 01:07:21.747: INFO @evaluate_confidence: Dropped ratios are: [19.5, 20.34, 21.24, 22.1, 23.01, 23.9, 24.8, 25.6, 26.46, 27.58, 28.42, 29.3, 30.29, 31.39, 32.28, 33.32, 34.32, 35.24, 36.14, 37.21, 38.21, 39.26, 40.15, 41.16, 42.16, 43.01, 44.01, 45.17, 46.38] 2021-02-05 01:07:21.753: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:07:21.753: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:07:21.753: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:07:21.753: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:07:21.848: INFO @evaluate_confidence: Previous accuracy would be: 48.92 2021-02-05 01:07:21.848: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:07:21.852: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [63.26, 64.17, 65.24, 66.3, 67.34, 68.16, 69.04, 70.02, 71.05, 72.1, 72.72, 73.51, 74.28, 74.89, 75.75, 76.59] 2021-02-05 01:07:21.852: INFO @evaluate_confidence: Dropped ratios are: [46.76, 49.13, 51.71, 54.01, 56.16, 57.93, 59.85, 61.54, 63.18, 64.9, 66.36, 67.84, 69.02, 70.35, 71.63, 72.8] 2021-02-05 01:07:21.854: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:07:21.854: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:07:21.854: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 01:07:21.854: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:07:21.928: INFO @evaluate_confidence: Previous accuracy would be: 89.61 2021-02-05 01:07:21.929: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:07:21.930: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.26, 94.43, 94.47, 94.8, 94.82, 94.9, 95.26, 95.37, 95.39, 95.57, 95.75, 95.93, 96.12, 96.36, 96.52, 96.65, 96.74, 96.84, 97.05, 97.04, 97.19, 97.26, 97.22, 97.3, 97.37] 2021-02-05 01:07:21.930: INFO @evaluate_confidence: Dropped ratios are: [18.67, 19.42, 20.12, 20.95, 21.53, 22.25, 23.18, 24.18, 24.91, 25.74, 26.79, 27.82, 28.8, 29.75, 30.76, 31.91, 33.14, 34.02, 35.35, 36.45, 37.56, 38.69, 39.56, 40.52, 41.72] 2021-02-05 01:07:21.932: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:07:21.932: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.53 +- 0.19 2021-02-05 01:07:21.932: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:07:21.932: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:07:22.013: INFO @evaluate_confidence: Previous accuracy would be: 45.81 2021-02-05 01:07:22.013: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52] 2021-02-05 01:07:22.014: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.14, 58.25, 59.27, 59.73, 60.82, 62.0, 62.67, 63.64, 64.13, 64.97] 2021-02-05 01:07:22.014: INFO @evaluate_confidence: Dropped ratios are: [49.25, 52.89, 55.77, 58.38, 60.94, 63.3, 65.86, 67.44, 69.02, 71.0] 2021-02-05 01:07:22.024: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:07:22.410: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:07:22.469: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:07:22.759: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:07:22.921: INFO @decay_lr : LR updated to `4.1215528e-05` 2021-02-05 01:07:22.922: INFO @log_profile : T train: 12.576158 2021-02-05 01:07:22.922: INFO @log_profile : T valid: 1.540248 2021-02-05 01:07:22.922: INFO @log_profile : T read data: 0.522905 2021-02-05 01:07:22.922: INFO @log_profile : T hooks: 4.538647 2021-02-05 01:07:22.922: INFO @main_loop : Epoch 396 done 2021-02-05 01:07:22.922: INFO @main_loop : Training epoch 397 2021-02-05 01:07:44.816: INFO @log_variables: train loss nanmean: 1.099422 2021-02-05 01:07:44.816: INFO @log_variables: train age_loss mean: 8.280086 2021-02-05 01:07:44.816: INFO @log_variables: train gender_loss mean: 0.241318 2021-02-05 01:07:44.816: INFO @log_variables: train age_mae mean: 7.735376 2021-02-05 01:07:44.816: INFO @log_variables: train gender_accuracy mean: 0.900608 2021-02-05 01:07:44.816: INFO @log_variables: train gender_confidence/loss nanmean: 0.067204 2021-02-05 01:07:44.816: INFO @log_variables: train gender_confidence/accuracy mean: 0.797381 2021-02-05 01:07:44.816: INFO @log_variables: train age_confidence/loss mean: 0.060103 2021-02-05 01:07:44.816: INFO @log_variables: train age_confidence/accuracy mean: 0.669560 2021-02-05 01:07:44.816: INFO @log_variables: valid loss nanmean: 1.193723 2021-02-05 01:07:44.816: INFO @log_variables: valid age_loss mean: 8.835471 2021-02-05 01:07:44.816: INFO @log_variables: valid gender_loss mean: 0.276754 2021-02-05 01:07:44.816: INFO @log_variables: valid age_mae mean: 8.256109 2021-02-05 01:07:44.816: INFO @log_variables: valid gender_accuracy mean: 0.894882 2021-02-05 01:07:44.816: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074294 2021-02-05 01:07:44.816: INFO @log_variables: valid gender_confidence/accuracy mean: 0.852233 2021-02-05 01:07:44.816: INFO @log_variables: valid age_confidence/loss mean: 0.064610 2021-02-05 01:07:44.816: INFO @log_variables: valid age_confidence/accuracy mean: 0.616658 2021-02-05 01:07:44.816: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:07:44.817: INFO @metrics_hook: train age_mae: 7.735 +-0.138 (13824) 2021-02-05 01:07:44.818: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13824) 2021-02-05 01:07:46.222: INFO @metrics_hook: valid age_mae: 8.256 +-0.271 (3986) 2021-02-05 01:07:46.222: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:07:47.541: INFO @decay_lr : LR updated to `4.100945e-05` 2021-02-05 01:07:47.542: INFO @log_profile : T train: 12.422705 2021-02-05 01:07:47.542: INFO @log_profile : T valid: 1.313069 2021-02-05 01:07:47.542: INFO @log_profile : T read data: 0.407775 2021-02-05 01:07:47.542: INFO @log_profile : T hooks: 10.430640 2021-02-05 01:07:47.542: INFO @main_loop : Epoch 397 done 2021-02-05 01:07:47.542: INFO @main_loop : Training epoch 398 2021-02-05 01:08:03.069: INFO @log_variables: train loss nanmean: 1.098350 2021-02-05 01:08:03.069: INFO @log_variables: train age_loss mean: 8.242828 2021-02-05 01:08:03.071: INFO @log_variables: train gender_loss mean: 0.243044 2021-02-05 01:08:03.071: INFO @log_variables: train age_mae mean: 7.698060 2021-02-05 01:08:03.071: INFO @log_variables: train gender_accuracy mean: 0.900391 2021-02-05 01:08:03.071: INFO @log_variables: train gender_confidence/loss nanmean: 0.067208 2021-02-05 01:08:03.071: INFO @log_variables: train gender_confidence/accuracy mean: 0.795718 2021-02-05 01:08:03.071: INFO @log_variables: train age_confidence/loss mean: 0.060845 2021-02-05 01:08:03.071: INFO @log_variables: train age_confidence/accuracy mean: 0.663628 2021-02-05 01:08:03.072: INFO @log_variables: valid loss nanmean: 1.184365 2021-02-05 01:08:03.072: INFO @log_variables: valid age_loss mean: 8.747101 2021-02-05 01:08:03.072: INFO @log_variables: valid gender_loss mean: 0.273926 2021-02-05 01:08:03.072: INFO @log_variables: valid age_mae mean: 8.171278 2021-02-05 01:08:03.072: INFO @log_variables: valid gender_accuracy mean: 0.894380 2021-02-05 01:08:03.072: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076456 2021-02-05 01:08:03.072: INFO @log_variables: valid gender_confidence/accuracy mean: 0.854992 2021-02-05 01:08:03.072: INFO @log_variables: valid age_confidence/loss mean: 0.063694 2021-02-05 01:08:03.072: INFO @log_variables: valid age_confidence/accuracy mean: 0.631460 2021-02-05 01:08:03.072: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:08:03.074: INFO @metrics_hook: train age_mae: 7.698 +-0.138 (13824) 2021-02-05 01:08:03.075: INFO @metrics_hook: train gender_accuracy: 0.900 +-0.005 (13824) 2021-02-05 01:08:04.489: INFO @metrics_hook: valid age_mae: 8.171 +-0.264 (3986) 2021-02-05 01:08:04.489: INFO @metrics_hook: valid gender_accuracy: 0.894 +-0.010 (3986) 2021-02-05 01:08:05.731: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:08:05.731: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:08:05.731: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:08:05.731: INFO @evaluate_confidence: Average confidence of all samples 0.72 +- 0.24 2021-02-05 01:08:05.809: INFO @evaluate_confidence: Previous accuracy would be: 90.04 2021-02-05 01:08:05.809: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:08:05.814: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.45, 94.66, 94.82, 95.03, 95.28, 95.43, 95.53, 95.64, 95.86, 95.96, 96.18, 96.31, 96.45, 96.64, 96.73, 96.81, 96.95, 97.07, 97.17, 97.34, 97.45, 97.51, 97.63, 97.71, 97.75, 97.83, 97.97, 98.12, 98.14] 2021-02-05 01:08:05.814: INFO @evaluate_confidence: Dropped ratios are: [19.93, 20.85, 21.82, 22.71, 23.74, 24.55, 25.39, 26.3, 27.24, 28.07, 29.15, 30.03, 30.97, 32.05, 32.93, 33.88, 34.82, 35.64, 36.68, 37.52, 38.4, 39.45, 40.38, 41.36, 42.25, 43.38, 44.39, 45.49, 46.46] 2021-02-05 01:08:05.820: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:08:05.820: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.21 2021-02-05 01:08:05.820: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:08:05.821: INFO @evaluate_confidence: Average confidence of all samples 0.50 +- 0.19 2021-02-05 01:08:05.914: INFO @evaluate_confidence: Previous accuracy would be: 49.48 2021-02-05 01:08:05.914: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:08:05.918: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [63.44, 64.58, 65.81, 66.78, 67.78, 68.73, 69.96, 70.84, 71.49, 72.32, 73.1, 73.68, 74.56, 75.52, 76.2, 77.11] 2021-02-05 01:08:05.918: INFO @evaluate_confidence: Dropped ratios are: [46.98, 49.43, 51.76, 53.99, 56.13, 57.99, 59.92, 61.55, 63.14, 64.67, 66.06, 67.29, 68.53, 69.81, 71.04, 72.13] 2021-02-05 01:08:05.920: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:08:05.920: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:08:05.920: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.58 +- 0.20 2021-02-05 01:08:05.920: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:08:05.998: INFO @evaluate_confidence: Previous accuracy would be: 89.44 2021-02-05 01:08:05.998: INFO @evaluate_confidence: Possible optimal thresholds are: [0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82] 2021-02-05 01:08:06.000: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.02, 94.16, 94.43, 94.7, 94.84, 95.02, 95.26, 95.33, 95.45, 95.64, 95.86, 95.91, 96.07, 96.18, 96.36, 96.63, 96.77, 96.87, 96.98, 97.05, 97.08, 97.18, 97.33, 97.32, 97.56] 2021-02-05 01:08:06.000: INFO @evaluate_confidence: Dropped ratios are: [18.14, 18.84, 19.77, 20.55, 21.2, 21.93, 22.78, 23.71, 24.51, 25.19, 26.07, 26.94, 27.85, 29.03, 30.36, 31.44, 32.51, 33.42, 34.35, 35.42, 36.45, 37.66, 38.91, 40.04, 41.37] 2021-02-05 01:08:06.002: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:08:06.002: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:08:06.002: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.44 +- 0.12 2021-02-05 01:08:06.002: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.16 2021-02-05 01:08:06.084: INFO @evaluate_confidence: Previous accuracy would be: 46.14 2021-02-05 01:08:06.084: INFO @evaluate_confidence: Possible optimal thresholds are: [0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:08:06.086: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [57.32, 58.24, 59.42, 60.27, 60.88, 62.31, 63.31, 64.62, 65.44, 66.58, 67.27] 2021-02-05 01:08:06.086: INFO @evaluate_confidence: Dropped ratios are: [50.1, 52.96, 55.8, 58.58, 61.01, 63.32, 65.13, 67.31, 69.22, 70.87, 72.18] 2021-02-05 01:08:06.095: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:08:06.472: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:06.529: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:08:06.807: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:06.967: INFO @decay_lr : LR updated to `4.0804403e-05` 2021-02-05 01:08:06.968: INFO @log_profile : T train: 12.965662 2021-02-05 01:08:06.969: INFO @log_profile : T valid: 1.506884 2021-02-05 01:08:06.969: INFO @log_profile : T read data: 0.408113 2021-02-05 01:08:06.969: INFO @log_profile : T hooks: 4.495853 2021-02-05 01:08:06.969: INFO @main_loop : Epoch 398 done 2021-02-05 01:08:06.969: INFO @main_loop : Training epoch 399 2021-02-05 01:08:22.575: INFO @log_variables: train loss nanmean: 1.087063 2021-02-05 01:08:22.576: INFO @log_variables: train age_loss mean: 8.256547 2021-02-05 01:08:22.576: INFO @log_variables: train gender_loss mean: 0.230901 2021-02-05 01:08:22.576: INFO @log_variables: train age_mae mean: 7.709592 2021-02-05 01:08:22.576: INFO @log_variables: train gender_accuracy mean: 0.904962 2021-02-05 01:08:22.576: INFO @log_variables: train gender_confidence/loss nanmean: 0.066425 2021-02-05 01:08:22.576: INFO @log_variables: train gender_confidence/accuracy mean: 0.802608 2021-02-05 01:08:22.576: INFO @log_variables: train age_confidence/loss mean: 0.060132 2021-02-05 01:08:22.576: INFO @log_variables: train age_confidence/accuracy mean: 0.669468 2021-02-05 01:08:22.576: INFO @log_variables: valid loss nanmean: 1.184315 2021-02-05 01:08:22.576: INFO @log_variables: valid age_loss mean: 8.761430 2021-02-05 01:08:22.576: INFO @log_variables: valid gender_loss mean: 0.275506 2021-02-05 01:08:22.576: INFO @log_variables: valid age_mae mean: 8.186802 2021-02-05 01:08:22.576: INFO @log_variables: valid gender_accuracy mean: 0.896136 2021-02-05 01:08:22.576: INFO @log_variables: valid gender_confidence/loss nanmean: 0.074714 2021-02-05 01:08:22.576: INFO @log_variables: valid gender_confidence/accuracy mean: 0.853738 2021-02-05 01:08:22.576: INFO @log_variables: valid age_confidence/loss mean: 0.062648 2021-02-05 01:08:22.576: INFO @log_variables: valid age_confidence/accuracy mean: 0.631711 2021-02-05 01:08:22.576: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:08:22.578: INFO @metrics_hook: train age_mae: 7.710 +-0.136 (13805) 2021-02-05 01:08:22.580: INFO @metrics_hook: train gender_accuracy: 0.905 +-0.005 (13805) 2021-02-05 01:08:24.001: INFO @metrics_hook: valid age_mae: 8.187 +-0.265 (3986) 2021-02-05 01:08:24.002: INFO @metrics_hook: valid gender_accuracy: 0.896 +-0.010 (3986) 2021-02-05 01:08:25.342: INFO @decay_lr : LR updated to `4.0600382e-05` 2021-02-05 01:08:25.343: INFO @log_profile : T train: 12.876747 2021-02-05 01:08:25.343: INFO @log_profile : T valid: 1.592228 2021-02-05 01:08:25.343: INFO @log_profile : T read data: 0.497258 2021-02-05 01:08:25.343: INFO @log_profile : T hooks: 3.359407 2021-02-05 01:08:25.343: INFO @main_loop : Epoch 399 done 2021-02-05 01:08:25.343: INFO @main_loop : Training epoch 400 2021-02-05 01:08:41.416: INFO @log_variables: train loss nanmean: 1.108799 2021-02-05 01:08:41.416: INFO @log_variables: train age_loss mean: 8.405681 2021-02-05 01:08:41.416: INFO @log_variables: train gender_loss mean: 0.240234 2021-02-05 01:08:41.417: INFO @log_variables: train age_mae mean: 7.857464 2021-02-05 01:08:41.417: INFO @log_variables: train gender_accuracy mean: 0.900897 2021-02-05 01:08:41.417: INFO @log_variables: train gender_confidence/loss nanmean: 0.066489 2021-02-05 01:08:41.417: INFO @log_variables: train gender_confidence/accuracy mean: 0.805049 2021-02-05 01:08:41.417: INFO @log_variables: train age_confidence/loss mean: 0.059762 2021-02-05 01:08:41.417: INFO @log_variables: train age_confidence/accuracy mean: 0.665292 2021-02-05 01:08:41.417: INFO @log_variables: valid loss nanmean: 1.193276 2021-02-05 01:08:41.417: INFO @log_variables: valid age_loss mean: 8.822259 2021-02-05 01:08:41.417: INFO @log_variables: valid gender_loss mean: 0.277986 2021-02-05 01:08:41.417: INFO @log_variables: valid age_mae mean: 8.248115 2021-02-05 01:08:41.417: INFO @log_variables: valid gender_accuracy mean: 0.894882 2021-02-05 01:08:41.417: INFO @log_variables: valid gender_confidence/loss nanmean: 0.076418 2021-02-05 01:08:41.417: INFO @log_variables: valid gender_confidence/accuracy mean: 0.848971 2021-02-05 01:08:41.417: INFO @log_variables: valid age_confidence/loss mean: 0.062120 2021-02-05 01:08:41.417: INFO @log_variables: valid age_confidence/accuracy mean: 0.636729 2021-02-05 01:08:41.417: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt 2021-02-05 01:08:41.419: INFO @metrics_hook: train age_mae: 7.857 +-0.138 (13824) 2021-02-05 01:08:41.421: INFO @metrics_hook: train gender_accuracy: 0.901 +-0.005 (13824) 2021-02-05 01:08:42.835: INFO @metrics_hook: valid age_mae: 8.248 +-0.266 (3986) 2021-02-05 01:08:42.835: INFO @metrics_hook: valid gender_accuracy: 0.895 +-0.010 (3986) 2021-02-05 01:08:44.081: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:08:44.081: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.75 +- 0.23 2021-02-05 01:08:44.081: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.47 +- 0.19 2021-02-05 01:08:44.081: INFO @evaluate_confidence: Average confidence of all samples 0.73 +- 0.24 2021-02-05 01:08:44.159: INFO @evaluate_confidence: Previous accuracy would be: 90.09 2021-02-05 01:08:44.160: INFO @evaluate_confidence: Possible optimal thresholds are: [0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75] 2021-02-05 01:08:44.165: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.8, 94.99, 95.15, 95.29, 95.49, 95.65, 95.77, 95.92, 96.07, 96.21, 96.34, 96.46, 96.57, 96.67, 96.73, 96.86, 96.98, 97.11, 97.24, 97.32, 97.49, 97.57, 97.67, 97.76, 97.89, 98.02, 98.14, 98.19, 98.33] 2021-02-05 01:08:44.165: INFO @evaluate_confidence: Dropped ratios are: [19.45, 20.4, 21.24, 22.06, 23.08, 24.0, 25.07, 25.94, 26.82, 27.73, 28.67, 29.56, 30.35, 31.41, 32.17, 33.23, 34.24, 35.16, 36.06, 37.0, 37.98, 38.96, 39.87, 40.89, 41.93, 43.04, 44.26, 45.25, 46.28] 2021-02-05 01:08:44.171: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:08:44.171: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.57 +- 0.22 2021-02-05 01:08:44.171: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.42 +- 0.13 2021-02-05 01:08:44.172: INFO @evaluate_confidence: Average confidence of all samples 0.49 +- 0.19 2021-02-05 01:08:44.268: INFO @evaluate_confidence: Previous accuracy would be: 48.19 2021-02-05 01:08:44.268: INFO @evaluate_confidence: Possible optimal thresholds are: [0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57] 2021-02-05 01:08:44.272: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [62.91, 63.71, 64.63, 65.55, 66.47, 67.4, 68.41, 69.48, 70.35, 71.17, 71.97, 72.72, 73.45, 74.54, 75.59, 76.42] 2021-02-05 01:08:44.272: INFO @evaluate_confidence: Dropped ratios are: [48.22, 50.44, 52.78, 54.96, 56.74, 58.69, 60.43, 62.34, 63.82, 65.33, 66.71, 68.1, 69.34, 70.59, 71.69, 72.79] 2021-02-05 01:08:44.274: INFO @evaluate_confidence: Evaluating GENDER Confidence 2021-02-05 01:08:44.274: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.83 +- 0.19 2021-02-05 01:08:44.274: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.59 +- 0.20 2021-02-05 01:08:44.274: INFO @evaluate_confidence: Average confidence of all samples 0.80 +- 0.21 2021-02-05 01:08:44.350: INFO @evaluate_confidence: Previous accuracy would be: 89.49 2021-02-05 01:08:44.350: INFO @evaluate_confidence: Possible optimal thresholds are: [0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82, 0.83] 2021-02-05 01:08:44.352: INFO @evaluate_confidence: GENDER accuracies with the thresholds are: [94.0, 94.1, 94.3, 94.53, 94.62, 94.88, 95.05, 95.36, 95.39, 95.59, 95.71, 95.87, 95.91, 96.1, 96.3, 96.47, 96.56, 96.76, 96.85, 97.08, 97.06, 97.29, 97.44, 97.51, 97.59] 2021-02-05 01:08:44.352: INFO @evaluate_confidence: Dropped ratios are: [18.94, 19.59, 20.27, 21.07, 21.73, 22.63, 23.51, 24.39, 24.91, 25.99, 26.89, 27.8, 28.83, 29.9, 30.83, 31.71, 32.94, 34.27, 35.42, 36.48, 37.66, 38.81, 40.24, 41.55, 42.85] 2021-02-05 01:08:44.354: INFO @evaluate_confidence: Evaluating AGE Confidence 2021-02-05 01:08:44.354: INFO @evaluate_confidence: Average confidence of correctly predicted samples 0.54 +- 0.19 2021-02-05 01:08:44.354: INFO @evaluate_confidence: Average confidence of wrongly predicted samples 0.43 +- 0.12 2021-02-05 01:08:44.354: INFO @evaluate_confidence: Average confidence of all samples 0.48 +- 0.16 2021-02-05 01:08:44.438: INFO @evaluate_confidence: Previous accuracy would be: 44.78 2021-02-05 01:08:44.438: INFO @evaluate_confidence: Possible optimal thresholds are: [0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54] 2021-02-05 01:08:44.439: INFO @evaluate_confidence: AGE accuracies with the thresholds are: [55.94, 56.48, 57.94, 59.12, 60.35, 61.18, 61.95, 63.09, 64.11, 64.4, 65.53, 66.6] 2021-02-05 01:08:44.439: INFO @evaluate_confidence: Dropped ratios are: [49.77, 53.31, 55.92, 58.88, 61.09, 63.3, 65.58, 67.71, 69.24, 71.25, 72.7, 74.08] 2021-02-05 01:08:44.449: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:08:44.836: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:44.896: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:08:45.190: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:45.252: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream train 2021-02-05 01:08:45.617: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:45.681: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:08:45.681: INFO @evaluate_gender-age_model: groups 0 4.489410 1 8.340239 2 8.515778 3 8.175925 4 8.655803 5 8.990453 6 8.489730 7 6.878547 Name: errors, dtype: float64 2021-02-05 01:08:45.682: INFO @evaluate_gender-age_model: Evaluating gender-age errors for stream valid 2021-02-05 01:08:45.966: INFO @evaluate_gender-age_model: Calculating age mean errors grouped by age ranges of 10 2021-02-05 01:08:46.027: INFO @evaluate_gender-age_model: Errors by groups: 2021-02-05 01:08:46.027: INFO @evaluate_gender-age_model: groups 0 6.185217 1 7.539817 2 7.494587 3 7.306361 4 9.128623 5 9.928970 6 9.743635 7 7.197409 Name: errors, dtype: float64 2021-02-05 01:08:46.126: INFO @decay_lr : LR updated to `4.039738e-05` 2021-02-05 01:08:46.126: INFO @stop_after : EpochStopperHook triggered 2021-02-05 01:08:46.127: INFO @log_profile : T train: 12.811725 2021-02-05 01:08:46.127: INFO @log_profile : T valid: 1.612081 2021-02-05 01:08:46.127: INFO @log_profile : T read data: 0.401002 2021-02-05 01:08:46.127: INFO @log_profile : T hooks: 5.910573 2021-02-05 01:08:46.127: INFO @main_loop : Training terminated: Training terminated after epoch 400 2021-02-05 01:08:46.127: INFO @log_dir : Output dir: ./log/ShallowHighLRCombinedRoughLoss_frosty-leavitt