2021-06-10 16:33:11.191: INFO @api : Created output directory with name log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:33:11.192: INFO @api : Creating dataset 2021-06-10 16:33:12.340: 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. 2021-06-10 16:33:12.341: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/utils/profiler.py:12: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead. 2021-06-10 16:33:12.804: INFO @api : RecognitionDatasetWrapper created 2021-06-10 16:33:12.804: INFO @api : Creating a model 2021-06-10 16:33:12.823: INFO @model : Creating TF model on 1 GPU devices 2021-06-10 16:33:12.823: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:419: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. 2021-06-10 16:33:13.025: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:142: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead. 2021-06-10 16:33:13.025: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:142: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead. 2021-06-10 16:33:13.026: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:142: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead. 2021-06-10 16:33:13.026: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:143: The name tf.placeholder_with_default is deprecated. Please use tf.compat.v1.placeholder_with_default instead. 2021-06-10 16:33:13.028: WARNING @module_wrapper: From /home/kopalja/faces/models/recognition.py:108: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. 2021-06-10 16:33:13.034: WARNING @deprecation : From /usr/lib/python3.8/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. 2021-06-10 16:33:13.472: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:119: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead. 2021-06-10 16:33:13.476: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:120: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dropout instead. 2021-06-10 16:33:13.485: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:122: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead. 2021-06-10 16:33:13.543: WARNING @module_wrapper: From /home/kopalja/faces/models/recognition.py:45: The name tf.is_nan is deprecated. Please use tf.math.is_nan instead. 2021-06-10 16:33:13.545: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:45: 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 2021-06-10 16:33:13.587: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:149: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead. 2021-06-10 16:33:13.588: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/graph_tower.py:80: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead. 2021-06-10 16:33:14.563: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:182: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead. 2021-06-10 16:33:14.634: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:508: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead. 2021-06-10 16:33:15.322: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:509: The name tf.local_variables_initializer is deprecated. Please use tf.compat.v1.local_variables_initializer instead. 2021-06-10 16:33:15.414: INFO @model : Number of parameters: 762083 2021-06-10 16:33:15.414: INFO @api : RecognitionModel created 2021-06-10 16:33:15.414: INFO @api : Creating hooks 2021-06-10 16:33:15.421: INFO @api : ComputeStats created 2021-06-10 16:33:15.421: INFO @api : LogVariables created 2021-06-10 16:33:15.422: INFO @api : LogProfile created 2021-06-10 16:33:15.422: INFO @api : LogDir created 2021-06-10 16:33:15.505: INFO @loader : Loading faiss with AVX2 support. 2021-06-10 16:33:15.506: INFO @loader : Loading faiss. 2021-06-10 16:33:15.646: WARNING @abstract_hook: Argument `n_epochs` was not recognized by `ComputeRecognitionMetrics`. Recognized arguments are `['output_dir', 'skip_epochs', 'streams', 'kwargs']`. 2021-06-10 16:33:15.646: INFO @api : ComputeRecognitionMetrics created 2021-06-10 16:33:15.646: INFO @api : ComputeRecognitionMaeCategories created 2021-06-10 16:33:15.647: INFO @api : EvaluateGen2 created 2021-06-10 16:33:15.647: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/hooks/write_tensorboard.py:78: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. 2021-06-10 16:33:15.648: INFO @api : WriteTensorBoard created 2021-06-10 16:33:15.648: INFO @api : DecayLR created 2021-06-10 16:33:15.648: INFO @api : SaveEvery created 2021-06-10 16:33:15.649: INFO @api : StopAfter created 2021-06-10 16:33:15.650: INFO @api : ShowProgress created 2021-06-10 16:33:15.650: WARNING @api : TrainingTrace hook added between hooks. Add it to your config.yaml to suppress this warning. 2021-06-10 16:33:15.650: INFO @api : Creating main loop 2021-06-10 16:33:15.650: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:33:15.651: INFO @main_loop : Training epoch 1 2021-06-10 16:33:16.151: 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'] 2021-06-10 16:33:36.212: INFO @log_variables: train loss nanmean: 4.427414 2021-06-10 16:33:36.213: INFO @log_variables: train age_loss mean: 2.935605 2021-06-10 16:33:36.213: INFO @log_variables: train gender_loss mean: 0.829512 2021-06-10 16:33:36.213: INFO @log_variables: train age_mae mean: 29.742516 2021-06-10 16:33:36.213: INFO @log_variables: train gender_accuracy mean: 0.522569 2021-06-10 16:33:36.213: INFO @log_variables: train artificial_age_loss mean: 0.128755 2021-06-10 16:33:36.213: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:33:36.213: INFO @log_variables: train gender_confidence/accuracy mean: 0.484737 2021-06-10 16:33:36.213: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:33:36.214: INFO @log_variables: train age_confidence/accuracy mean: 0.599465 2021-06-10 16:33:36.214: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:33:36.217: INFO @metrics_hook: train age_mae: 29.743 +-0.368 (13824) 2021-06-10 16:33:36.219: INFO @metrics_hook: train gender_accuracy: 0.523 +-0.008 (13824) 2021-06-10 16:33:37.970: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/hooks/write_tensorboard.py:109: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead. 2021-06-10 16:33:38.008: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/hooks/decay_lr.py:89: The name tf.assign is deprecated. Please use tf.compat.v1.assign instead. 2021-06-10 16:33:38.101: INFO @decay_lr : LR updated to `0.0002985` 2021-06-10 16:33:38.103: INFO @log_profile : T train: 19.102967 2021-06-10 16:33:38.103: INFO @log_profile : T read data: 0.755841 2021-06-10 16:33:38.103: INFO @log_profile : T hooks: 2.545205 2021-06-10 16:33:38.103: INFO @main_loop : Epoch 1 done 2021-06-10 16:33:38.103: INFO @main_loop : Training epoch 2 2021-06-10 16:33:56.003: INFO @log_variables: train loss nanmean: 3.535056 2021-06-10 16:33:56.003: INFO @log_variables: train age_loss mean: 2.018699 2021-06-10 16:33:56.003: INFO @log_variables: train gender_loss mean: 0.783532 2021-06-10 16:33:56.003: INFO @log_variables: train age_mae mean: 20.762270 2021-06-10 16:33:56.004: INFO @log_variables: train gender_accuracy mean: 0.528791 2021-06-10 16:33:56.004: INFO @log_variables: train artificial_age_loss mean: 0.292445 2021-06-10 16:33:56.004: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:33:56.004: INFO @log_variables: train gender_confidence/accuracy mean: 0.482494 2021-06-10 16:33:56.004: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:33:56.004: INFO @log_variables: train age_confidence/accuracy mean: 0.628762 2021-06-10 16:33:56.004: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:33:56.006: INFO @metrics_hook: train age_mae: 20.762 +-0.274 (13824) 2021-06-10 16:33:56.008: INFO @metrics_hook: train gender_accuracy: 0.529 +-0.008 (13824) 2021-06-10 16:33:57.865: INFO @decay_lr : LR updated to `0.0002970075` 2021-06-10 16:33:57.867: INFO @log_profile : T train: 16.950328 2021-06-10 16:33:57.867: INFO @log_profile : T read data: 0.264028 2021-06-10 16:33:57.867: INFO @log_profile : T hooks: 2.501578 2021-06-10 16:33:57.867: INFO @main_loop : Epoch 2 done 2021-06-10 16:33:57.867: INFO @main_loop : Training epoch 3 2021-06-10 16:34:16.020: INFO @log_variables: train loss nanmean: 3.396502 2021-06-10 16:34:16.020: INFO @log_variables: train age_loss mean: 1.873790 2021-06-10 16:34:16.020: INFO @log_variables: train gender_loss mean: 0.745700 2021-06-10 16:34:16.020: INFO @log_variables: train age_mae mean: 19.317162 2021-06-10 16:34:16.021: INFO @log_variables: train gender_accuracy mean: 0.541884 2021-06-10 16:34:16.021: INFO @log_variables: train artificial_age_loss mean: 0.322168 2021-06-10 16:34:16.021: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:34:16.021: INFO @log_variables: train gender_confidence/accuracy mean: 0.473307 2021-06-10 16:34:16.021: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:34:16.021: INFO @log_variables: train age_confidence/accuracy mean: 0.646991 2021-06-10 16:34:16.021: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:34:16.023: INFO @metrics_hook: train age_mae: 19.317 +-0.244 (13824) 2021-06-10 16:34:16.025: INFO @metrics_hook: train gender_accuracy: 0.542 +-0.008 (13824) 2021-06-10 16:34:17.974: INFO @decay_lr : LR updated to `0.00029552245` 2021-06-10 16:34:17.975: INFO @log_profile : T train: 17.131940 2021-06-10 16:34:17.975: INFO @log_profile : T read data: 0.266210 2021-06-10 16:34:17.975: INFO @log_profile : T hooks: 2.661574 2021-06-10 16:34:17.975: INFO @main_loop : Epoch 3 done 2021-06-10 16:34:17.975: INFO @main_loop : Training epoch 4 2021-06-10 16:34:35.981: INFO @log_variables: train loss nanmean: 3.352167 2021-06-10 16:34:35.982: INFO @log_variables: train age_loss mean: 1.843210 2021-06-10 16:34:35.982: INFO @log_variables: train gender_loss mean: 0.726569 2021-06-10 16:34:35.982: INFO @log_variables: train age_mae mean: 19.013329 2021-06-10 16:34:35.982: INFO @log_variables: train gender_accuracy mean: 0.535518 2021-06-10 16:34:35.982: INFO @log_variables: train artificial_age_loss mean: 0.329100 2021-06-10 16:34:35.982: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:34:35.982: INFO @log_variables: train gender_confidence/accuracy mean: 0.474971 2021-06-10 16:34:35.982: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:34:35.982: INFO @log_variables: train age_confidence/accuracy mean: 0.659361 2021-06-10 16:34:35.982: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:34:35.984: INFO @metrics_hook: train age_mae: 19.013 +-0.236 (13824) 2021-06-10 16:34:35.986: INFO @metrics_hook: train gender_accuracy: 0.536 +-0.008 (13824) 2021-06-10 16:34:38.099: INFO @decay_lr : LR updated to `0.00029404485` 2021-06-10 16:34:38.100: INFO @log_profile : T train: 17.077587 2021-06-10 16:34:38.100: INFO @log_profile : T read data: 0.255141 2021-06-10 16:34:38.100: INFO @log_profile : T hooks: 2.743253 2021-06-10 16:34:38.100: INFO @main_loop : Epoch 4 done 2021-06-10 16:34:38.100: INFO @main_loop : Training epoch 5 2021-06-10 16:34:56.500: INFO @log_variables: train loss nanmean: 3.377386 2021-06-10 16:34:56.500: INFO @log_variables: train age_loss mean: 1.791042 2021-06-10 16:34:56.500: INFO @log_variables: train gender_loss mean: 0.718655 2021-06-10 16:34:56.500: INFO @log_variables: train age_mae mean: 18.494379 2021-06-10 16:34:56.501: INFO @log_variables: train gender_accuracy mean: 0.548043 2021-06-10 16:34:56.501: INFO @log_variables: train artificial_age_loss mean: 0.342152 2021-06-10 16:34:56.501: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:34:56.501: INFO @log_variables: train gender_confidence/accuracy mean: 0.465217 2021-06-10 16:34:56.501: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:34:56.501: INFO @log_variables: train age_confidence/accuracy mean: 0.648913 2021-06-10 16:34:56.501: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:34:56.503: INFO @metrics_hook: train age_mae: 18.494 +-0.227 (13800) 2021-06-10 16:34:56.505: INFO @metrics_hook: train gender_accuracy: 0.548 +-0.008 (13800) 2021-06-10 16:34:58.369: INFO @decay_lr : LR updated to `0.0002925746` 2021-06-10 16:34:58.371: INFO @log_profile : T train: 17.265296 2021-06-10 16:34:58.371: INFO @log_profile : T read data: 0.399366 2021-06-10 16:34:58.371: INFO @log_profile : T hooks: 2.557528 2021-06-10 16:34:58.371: INFO @main_loop : Epoch 5 done 2021-06-10 16:34:58.371: INFO @main_loop : Training epoch 6 2021-06-10 16:35:16.611: INFO @log_variables: train loss nanmean: 3.342472 2021-06-10 16:35:16.612: INFO @log_variables: train age_loss mean: 1.788500 2021-06-10 16:35:16.612: INFO @log_variables: train gender_loss mean: 0.705292 2021-06-10 16:35:16.612: INFO @log_variables: train age_mae mean: 18.462418 2021-06-10 16:35:16.612: INFO @log_variables: train gender_accuracy mean: 0.555773 2021-06-10 16:35:16.612: INFO @log_variables: train artificial_age_loss mean: 0.342753 2021-06-10 16:35:16.612: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:35:16.612: INFO @log_variables: train gender_confidence/accuracy mean: 0.461806 2021-06-10 16:35:16.612: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:35:16.612: INFO @log_variables: train age_confidence/accuracy mean: 0.668258 2021-06-10 16:35:16.612: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:35:16.614: INFO @metrics_hook: train age_mae: 18.462 +-0.223 (13824) 2021-06-10 16:35:16.616: INFO @metrics_hook: train gender_accuracy: 0.556 +-0.008 (13824) 2021-06-10 16:35:18.571: INFO @decay_lr : LR updated to `0.00029111173` 2021-06-10 16:35:18.572: INFO @log_profile : T train: 17.243260 2021-06-10 16:35:18.573: INFO @log_profile : T read data: 0.261906 2021-06-10 16:35:18.573: INFO @log_profile : T hooks: 2.647259 2021-06-10 16:35:18.573: INFO @main_loop : Epoch 6 done 2021-06-10 16:35:18.573: INFO @main_loop : Training epoch 7 2021-06-10 16:35:36.639: INFO @log_variables: train loss nanmean: 3.227162 2021-06-10 16:35:36.639: INFO @log_variables: train age_loss mean: 1.734686 2021-06-10 16:35:36.639: INFO @log_variables: train gender_loss mean: 0.698469 2021-06-10 16:35:36.639: INFO @log_variables: train age_mae mean: 17.968056 2021-06-10 16:35:36.639: INFO @log_variables: train gender_accuracy mean: 0.556496 2021-06-10 16:35:36.639: INFO @log_variables: train artificial_age_loss mean: 0.342803 2021-06-10 16:35:36.639: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:35:36.640: INFO @log_variables: train gender_confidence/accuracy mean: 0.459346 2021-06-10 16:35:36.640: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:35:36.640: INFO @log_variables: train age_confidence/accuracy mean: 0.655888 2021-06-10 16:35:36.640: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:35:36.642: INFO @metrics_hook: train age_mae: 17.968 +-0.224 (13824) 2021-06-10 16:35:36.644: INFO @metrics_hook: train gender_accuracy: 0.556 +-0.008 (13824) 2021-06-10 16:35:38.526: INFO @decay_lr : LR updated to `0.00028965616` 2021-06-10 16:35:38.527: INFO @log_profile : T train: 17.121634 2021-06-10 16:35:38.528: INFO @log_profile : T read data: 0.261848 2021-06-10 16:35:38.528: INFO @log_profile : T hooks: 2.523425 2021-06-10 16:35:38.528: INFO @main_loop : Epoch 7 done 2021-06-10 16:35:38.528: INFO @main_loop : Training epoch 8 2021-06-10 16:35:56.867: INFO @log_variables: train loss nanmean: 3.189666 2021-06-10 16:35:56.867: INFO @log_variables: train age_loss mean: 1.743797 2021-06-10 16:35:56.867: INFO @log_variables: train gender_loss mean: 0.692559 2021-06-10 16:35:56.867: INFO @log_variables: train age_mae mean: 18.051792 2021-06-10 16:35:56.867: INFO @log_variables: train gender_accuracy mean: 0.569083 2021-06-10 16:35:56.867: INFO @log_variables: train artificial_age_loss mean: 0.331600 2021-06-10 16:35:56.867: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:35:56.867: INFO @log_variables: train gender_confidence/accuracy mean: 0.450014 2021-06-10 16:35:56.868: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:35:56.868: INFO @log_variables: train age_confidence/accuracy mean: 0.637804 2021-06-10 16:35:56.868: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:35:56.870: INFO @metrics_hook: train age_mae: 18.052 +-0.224 (13824) 2021-06-10 16:35:56.871: INFO @metrics_hook: train gender_accuracy: 0.569 +-0.008 (13824) 2021-06-10 16:35:58.774: INFO @decay_lr : LR updated to `0.00028820787` 2021-06-10 16:35:58.776: INFO @log_profile : T train: 17.364569 2021-06-10 16:35:58.776: INFO @log_profile : T read data: 0.262733 2021-06-10 16:35:58.776: INFO @log_profile : T hooks: 2.570606 2021-06-10 16:35:58.776: INFO @main_loop : Epoch 8 done 2021-06-10 16:35:58.776: INFO @main_loop : Training epoch 9 2021-06-10 16:36:17.097: INFO @log_variables: train loss nanmean: 3.234146 2021-06-10 16:36:17.098: INFO @log_variables: train age_loss mean: 1.714781 2021-06-10 16:36:17.098: INFO @log_variables: train gender_loss mean: 0.688191 2021-06-10 16:36:17.098: INFO @log_variables: train age_mae mean: 17.742119 2021-06-10 16:36:17.098: INFO @log_variables: train gender_accuracy mean: 0.563986 2021-06-10 16:36:17.098: INFO @log_variables: train artificial_age_loss mean: 0.341302 2021-06-10 16:36:17.098: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:36:17.098: INFO @log_variables: train gender_confidence/accuracy mean: 0.455870 2021-06-10 16:36:17.098: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:36:17.098: INFO @log_variables: train age_confidence/accuracy mean: 0.646015 2021-06-10 16:36:17.098: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:36:17.100: INFO @metrics_hook: train age_mae: 17.742 +-0.215 (13800) 2021-06-10 16:36:17.102: INFO @metrics_hook: train gender_accuracy: 0.564 +-0.008 (13800) 2021-06-10 16:36:19.169: INFO @decay_lr : LR updated to `0.00028676682` 2021-06-10 16:36:19.170: INFO @log_profile : T train: 17.202070 2021-06-10 16:36:19.170: INFO @log_profile : T read data: 0.414619 2021-06-10 16:36:19.170: INFO @log_profile : T hooks: 2.727455 2021-06-10 16:36:19.170: INFO @main_loop : Epoch 9 done 2021-06-10 16:36:19.170: INFO @main_loop : Training epoch 10 2021-06-10 16:36:37.480: INFO @log_variables: train loss nanmean: 3.186913 2021-06-10 16:36:37.481: INFO @log_variables: train age_loss mean: 1.707468 2021-06-10 16:36:37.481: INFO @log_variables: train gender_loss mean: 0.683771 2021-06-10 16:36:37.481: INFO @log_variables: train age_mae mean: 17.686192 2021-06-10 16:36:37.481: INFO @log_variables: train gender_accuracy mean: 0.566479 2021-06-10 16:36:37.481: INFO @log_variables: train artificial_age_loss mean: 0.344202 2021-06-10 16:36:37.481: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:36:37.481: INFO @log_variables: train gender_confidence/accuracy mean: 0.447121 2021-06-10 16:36:37.481: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:36:37.481: INFO @log_variables: train age_confidence/accuracy mean: 0.645255 2021-06-10 16:36:37.481: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:36:37.483: INFO @metrics_hook: train age_mae: 17.686 +-0.215 (13824) 2021-06-10 16:36:37.485: INFO @metrics_hook: train gender_accuracy: 0.566 +-0.008 (13824) 2021-06-10 16:36:39.356: INFO @decay_lr : LR updated to `0.000285333` 2021-06-10 16:36:39.357: INFO @log_profile : T train: 17.335726 2021-06-10 16:36:39.357: INFO @log_profile : T read data: 0.270189 2021-06-10 16:36:39.357: INFO @log_profile : T hooks: 2.531818 2021-06-10 16:36:39.357: INFO @main_loop : Epoch 10 done 2021-06-10 16:36:39.357: INFO @main_loop : Training epoch 11 2021-06-10 16:36:57.498: INFO @log_variables: train loss nanmean: 3.211392 2021-06-10 16:36:57.499: INFO @log_variables: train age_loss mean: 1.699455 2021-06-10 16:36:57.499: INFO @log_variables: train gender_loss mean: 0.682911 2021-06-10 16:36:57.499: INFO @log_variables: train age_mae mean: 17.603745 2021-06-10 16:36:57.499: INFO @log_variables: train gender_accuracy mean: 0.575087 2021-06-10 16:36:57.499: INFO @log_variables: train artificial_age_loss mean: 0.334738 2021-06-10 16:36:57.499: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:36:57.499: INFO @log_variables: train gender_confidence/accuracy mean: 0.450738 2021-06-10 16:36:57.500: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:36:57.500: INFO @log_variables: train age_confidence/accuracy mean: 0.660446 2021-06-10 16:36:57.500: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:36:57.502: INFO @metrics_hook: train age_mae: 17.604 +-0.217 (13824) 2021-06-10 16:36:57.505: INFO @metrics_hook: train gender_accuracy: 0.575 +-0.008 (13824) 2021-06-10 16:36:59.494: INFO @decay_lr : LR updated to `0.00028390632` 2021-06-10 16:36:59.495: INFO @log_profile : T train: 17.215090 2021-06-10 16:36:59.495: INFO @log_profile : T read data: 0.258811 2021-06-10 16:36:59.495: INFO @log_profile : T hooks: 2.616176 2021-06-10 16:36:59.495: INFO @main_loop : Epoch 11 done 2021-06-10 16:36:59.495: INFO @main_loop : Training epoch 12 2021-06-10 16:37:18.009: INFO @log_variables: train loss nanmean: 3.139994 2021-06-10 16:37:18.009: INFO @log_variables: train age_loss mean: 1.677307 2021-06-10 16:37:18.009: INFO @log_variables: train gender_loss mean: 0.677900 2021-06-10 16:37:18.009: INFO @log_variables: train age_mae mean: 17.418589 2021-06-10 16:37:18.009: INFO @log_variables: train gender_accuracy mean: 0.581814 2021-06-10 16:37:18.009: INFO @log_variables: train artificial_age_loss mean: 0.340341 2021-06-10 16:37:18.009: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:37:18.009: INFO @log_variables: train gender_confidence/accuracy mean: 0.441262 2021-06-10 16:37:18.010: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:37:18.010: INFO @log_variables: train age_confidence/accuracy mean: 0.622468 2021-06-10 16:37:18.010: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:37:18.012: INFO @metrics_hook: train age_mae: 17.419 +-0.216 (13824) 2021-06-10 16:37:18.014: INFO @metrics_hook: train gender_accuracy: 0.582 +-0.008 (13824) 2021-06-10 16:37:20.013: INFO @decay_lr : LR updated to `0.00028248678` 2021-06-10 16:37:20.014: INFO @log_profile : T train: 17.505212 2021-06-10 16:37:20.014: INFO @log_profile : T read data: 0.273063 2021-06-10 16:37:20.014: INFO @log_profile : T hooks: 2.692337 2021-06-10 16:37:20.015: INFO @main_loop : Epoch 12 done 2021-06-10 16:37:20.015: INFO @main_loop : Training epoch 13 2021-06-10 16:37:38.937: INFO @log_variables: train loss nanmean: 3.156714 2021-06-10 16:37:38.937: INFO @log_variables: train age_loss mean: 1.663479 2021-06-10 16:37:38.938: INFO @log_variables: train gender_loss mean: 0.667990 2021-06-10 16:37:38.938: INFO @log_variables: train age_mae mean: 17.288414 2021-06-10 16:37:38.938: INFO @log_variables: train gender_accuracy mean: 0.590043 2021-06-10 16:37:38.938: INFO @log_variables: train artificial_age_loss mean: 0.331101 2021-06-10 16:37:38.938: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:37:38.938: INFO @log_variables: train gender_confidence/accuracy mean: 0.441481 2021-06-10 16:37:38.938: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:37:38.938: INFO @log_variables: train age_confidence/accuracy mean: 0.614030 2021-06-10 16:37:38.938: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:37:38.941: INFO @metrics_hook: train age_mae: 17.288 +-0.219 (13799) 2021-06-10 16:37:38.942: INFO @metrics_hook: train gender_accuracy: 0.590 +-0.008 (13799) 2021-06-10 16:37:40.903: INFO @decay_lr : LR updated to `0.00028107435` 2021-06-10 16:37:40.904: INFO @log_profile : T train: 17.784450 2021-06-10 16:37:40.904: INFO @log_profile : T read data: 0.422089 2021-06-10 16:37:40.904: INFO @log_profile : T hooks: 2.634602 2021-06-10 16:37:40.904: INFO @main_loop : Epoch 13 done 2021-06-10 16:37:40.904: INFO @main_loop : Training epoch 14 2021-06-10 16:37:59.199: INFO @log_variables: train loss nanmean: 3.056036 2021-06-10 16:37:59.200: INFO @log_variables: train age_loss mean: 1.628658 2021-06-10 16:37:59.200: INFO @log_variables: train gender_loss mean: 0.664358 2021-06-10 16:37:59.200: INFO @log_variables: train age_mae mean: 16.966602 2021-06-10 16:37:59.200: INFO @log_variables: train gender_accuracy mean: 0.600694 2021-06-10 16:37:59.200: INFO @log_variables: train artificial_age_loss mean: 0.328819 2021-06-10 16:37:59.200: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:37:59.200: INFO @log_variables: train gender_confidence/accuracy mean: 0.425130 2021-06-10 16:37:59.200: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:37:59.200: INFO @log_variables: train age_confidence/accuracy mean: 0.611111 2021-06-10 16:37:59.200: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:37:59.202: INFO @metrics_hook: train age_mae: 16.967 +-0.213 (13824) 2021-06-10 16:37:59.204: INFO @metrics_hook: train gender_accuracy: 0.601 +-0.008 (13824) 2021-06-10 16:38:01.359: INFO @decay_lr : LR updated to `0.00027966898` 2021-06-10 16:38:01.360: INFO @log_profile : T train: 17.326349 2021-06-10 16:38:01.360: INFO @log_profile : T read data: 0.270891 2021-06-10 16:38:01.360: INFO @log_profile : T hooks: 2.810514 2021-06-10 16:38:01.360: INFO @main_loop : Epoch 14 done 2021-06-10 16:38:01.360: INFO @main_loop : Training epoch 15 2021-06-10 16:38:19.716: INFO @log_variables: train loss nanmean: 3.107820 2021-06-10 16:38:19.716: INFO @log_variables: train age_loss mean: 1.644521 2021-06-10 16:38:19.716: INFO @log_variables: train gender_loss mean: 0.667604 2021-06-10 16:38:19.716: INFO @log_variables: train age_mae mean: 17.083595 2021-06-10 16:38:19.716: INFO @log_variables: train gender_accuracy mean: 0.594690 2021-06-10 16:38:19.716: INFO @log_variables: train artificial_age_loss mean: 0.328864 2021-06-10 16:38:19.717: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:38:19.717: INFO @log_variables: train gender_confidence/accuracy mean: 0.431351 2021-06-10 16:38:19.717: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:38:19.717: INFO @log_variables: train age_confidence/accuracy mean: 0.616102 2021-06-10 16:38:19.717: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:38:19.719: INFO @metrics_hook: train age_mae: 17.084 +-0.216 (13824) 2021-06-10 16:38:19.721: INFO @metrics_hook: train gender_accuracy: 0.595 +-0.008 (13824) 2021-06-10 16:38:21.661: INFO @decay_lr : LR updated to `0.00027827063` 2021-06-10 16:38:21.662: INFO @log_profile : T train: 17.387352 2021-06-10 16:38:21.662: INFO @log_profile : T read data: 0.262489 2021-06-10 16:38:21.662: INFO @log_profile : T hooks: 2.602573 2021-06-10 16:38:21.662: INFO @main_loop : Epoch 15 done 2021-06-10 16:38:21.662: INFO @main_loop : Training epoch 16 2021-06-10 16:38:39.971: INFO @log_variables: train loss nanmean: 3.091738 2021-06-10 16:38:39.972: INFO @log_variables: train age_loss mean: 1.608647 2021-06-10 16:38:39.972: INFO @log_variables: train gender_loss mean: 0.666223 2021-06-10 16:38:39.972: INFO @log_variables: train age_mae mean: 16.779320 2021-06-10 16:38:39.972: INFO @log_variables: train gender_accuracy mean: 0.594112 2021-06-10 16:38:39.972: INFO @log_variables: train artificial_age_loss mean: 0.329299 2021-06-10 16:38:39.972: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:38:39.972: INFO @log_variables: train gender_confidence/accuracy mean: 0.430773 2021-06-10 16:38:39.972: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:38:39.972: INFO @log_variables: train age_confidence/accuracy mean: 0.605613 2021-06-10 16:38:39.972: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:38:39.974: INFO @metrics_hook: train age_mae: 16.779 +-0.215 (13824) 2021-06-10 16:38:39.976: INFO @metrics_hook: train gender_accuracy: 0.594 +-0.008 (13824) 2021-06-10 16:38:41.879: INFO @decay_lr : LR updated to `0.00027687926` 2021-06-10 16:38:41.881: INFO @log_profile : T train: 17.338478 2021-06-10 16:38:41.881: INFO @log_profile : T read data: 0.261716 2021-06-10 16:38:41.881: INFO @log_profile : T hooks: 2.571041 2021-06-10 16:38:41.881: INFO @main_loop : Epoch 16 done 2021-06-10 16:38:41.881: INFO @main_loop : Training epoch 17 2021-06-10 16:39:00.244: INFO @log_variables: train loss nanmean: 3.058175 2021-06-10 16:39:00.245: INFO @log_variables: train age_loss mean: 1.616249 2021-06-10 16:39:00.245: INFO @log_variables: train gender_loss mean: 0.665894 2021-06-10 16:39:00.245: INFO @log_variables: train age_mae mean: 16.824432 2021-06-10 16:39:00.245: INFO @log_variables: train gender_accuracy mean: 0.599855 2021-06-10 16:39:00.245: INFO @log_variables: train artificial_age_loss mean: 0.333951 2021-06-10 16:39:00.245: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:39:00.245: INFO @log_variables: train gender_confidence/accuracy mean: 0.438623 2021-06-10 16:39:00.245: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:39:00.245: INFO @log_variables: train age_confidence/accuracy mean: 0.597609 2021-06-10 16:39:00.245: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:39:00.246: INFO @metrics_hook: train age_mae: 16.824 +-0.212 (13800) 2021-06-10 16:39:00.248: INFO @metrics_hook: train gender_accuracy: 0.600 +-0.008 (13800) 2021-06-10 16:39:02.268: INFO @decay_lr : LR updated to `0.00027549488` 2021-06-10 16:39:02.270: INFO @log_profile : T train: 17.247992 2021-06-10 16:39:02.270: INFO @log_profile : T read data: 0.415551 2021-06-10 16:39:02.270: INFO @log_profile : T hooks: 2.676770 2021-06-10 16:39:02.270: INFO @main_loop : Epoch 17 done 2021-06-10 16:39:02.270: INFO @main_loop : Training epoch 18 2021-06-10 16:39:20.626: INFO @log_variables: train loss nanmean: 3.084447 2021-06-10 16:39:20.626: INFO @log_variables: train age_loss mean: 1.623837 2021-06-10 16:39:20.626: INFO @log_variables: train gender_loss mean: 0.664138 2021-06-10 16:39:20.626: INFO @log_variables: train age_mae mean: 16.934380 2021-06-10 16:39:20.626: INFO @log_variables: train gender_accuracy mean: 0.600159 2021-06-10 16:39:20.626: INFO @log_variables: train artificial_age_loss mean: 0.325723 2021-06-10 16:39:20.626: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:39:20.626: INFO @log_variables: train gender_confidence/accuracy mean: 0.432685 2021-06-10 16:39:20.627: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:39:20.627: INFO @log_variables: train age_confidence/accuracy mean: 0.604861 2021-06-10 16:39:20.627: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:39:20.629: INFO @metrics_hook: train age_mae: 16.934 +-0.217 (13823) 2021-06-10 16:39:20.630: INFO @metrics_hook: train gender_accuracy: 0.600 +-0.008 (13823) 2021-06-10 16:39:22.520: INFO @decay_lr : LR updated to `0.0002741174` 2021-06-10 16:39:22.521: INFO @log_profile : T train: 17.388707 2021-06-10 16:39:22.521: INFO @log_profile : T read data: 0.261877 2021-06-10 16:39:22.521: INFO @log_profile : T hooks: 2.546138 2021-06-10 16:39:22.521: INFO @main_loop : Epoch 18 done 2021-06-10 16:39:22.521: INFO @main_loop : Training epoch 19 2021-06-10 16:39:40.891: INFO @log_variables: train loss nanmean: 2.987324 2021-06-10 16:39:40.891: INFO @log_variables: train age_loss mean: 1.581234 2021-06-10 16:39:40.891: INFO @log_variables: train gender_loss mean: 0.656442 2021-06-10 16:39:40.891: INFO @log_variables: train age_mae mean: 16.504236 2021-06-10 16:39:40.892: INFO @log_variables: train gender_accuracy mean: 0.609303 2021-06-10 16:39:40.892: INFO @log_variables: train artificial_age_loss mean: 0.329071 2021-06-10 16:39:40.892: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:39:40.892: INFO @log_variables: train gender_confidence/accuracy mean: 0.428964 2021-06-10 16:39:40.892: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:39:40.892: INFO @log_variables: train age_confidence/accuracy mean: 0.614873 2021-06-10 16:39:40.892: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:39:40.894: INFO @metrics_hook: train age_mae: 16.504 +-0.213 (13824) 2021-06-10 16:39:40.896: INFO @metrics_hook: train gender_accuracy: 0.609 +-0.008 (13824) 2021-06-10 16:39:42.782: INFO @decay_lr : LR updated to `0.0002727468` 2021-06-10 16:39:42.783: INFO @log_profile : T train: 17.413525 2021-06-10 16:39:42.783: INFO @log_profile : T read data: 0.262720 2021-06-10 16:39:42.783: INFO @log_profile : T hooks: 2.536004 2021-06-10 16:39:42.783: INFO @main_loop : Epoch 19 done 2021-06-10 16:39:42.783: INFO @main_loop : Training epoch 20 2021-06-10 16:40:01.212: INFO @log_variables: train loss nanmean: 3.032657 2021-06-10 16:40:01.212: INFO @log_variables: train age_loss mean: 1.579378 2021-06-10 16:40:01.212: INFO @log_variables: train gender_loss mean: 0.657688 2021-06-10 16:40:01.212: INFO @log_variables: train age_mae mean: 16.485924 2021-06-10 16:40:01.212: INFO @log_variables: train gender_accuracy mean: 0.608869 2021-06-10 16:40:01.212: INFO @log_variables: train artificial_age_loss mean: 0.324384 2021-06-10 16:40:01.212: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:40:01.212: INFO @log_variables: train gender_confidence/accuracy mean: 0.433087 2021-06-10 16:40:01.212: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:40:01.212: INFO @log_variables: train age_confidence/accuracy mean: 0.596716 2021-06-10 16:40:01.212: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:40:01.214: INFO @metrics_hook: train age_mae: 16.486 +-0.214 (13824) 2021-06-10 16:40:01.215: INFO @metrics_hook: train gender_accuracy: 0.609 +-0.008 (13824) 2021-06-10 16:40:03.086: INFO @decay_lr : LR updated to `0.00027138306` 2021-06-10 16:40:03.087: INFO @log_profile : T train: 17.449281 2021-06-10 16:40:03.087: INFO @log_profile : T read data: 0.264425 2021-06-10 16:40:03.087: INFO @log_profile : T hooks: 2.541502 2021-06-10 16:40:03.087: INFO @main_loop : Epoch 20 done 2021-06-10 16:40:03.087: INFO @main_loop : Training epoch 21 2021-06-10 16:40:21.642: INFO @log_variables: train loss nanmean: 3.013324 2021-06-10 16:40:21.642: INFO @log_variables: train age_loss mean: 1.592724 2021-06-10 16:40:21.643: INFO @log_variables: train gender_loss mean: 0.653607 2021-06-10 16:40:21.643: INFO @log_variables: train age_mae mean: 16.608719 2021-06-10 16:40:21.643: INFO @log_variables: train gender_accuracy mean: 0.617101 2021-06-10 16:40:21.643: INFO @log_variables: train artificial_age_loss mean: 0.324413 2021-06-10 16:40:21.643: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:40:21.643: INFO @log_variables: train gender_confidence/accuracy mean: 0.426232 2021-06-10 16:40:21.643: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:40:21.643: INFO @log_variables: train age_confidence/accuracy mean: 0.588478 2021-06-10 16:40:21.643: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:40:21.645: INFO @metrics_hook: train age_mae: 16.609 +-0.215 (13800) 2021-06-10 16:40:21.646: INFO @metrics_hook: train gender_accuracy: 0.617 +-0.008 (13800) 2021-06-10 16:40:23.896: INFO @decay_lr : LR updated to `0.00027002615` 2021-06-10 16:40:23.897: INFO @log_profile : T train: 17.452485 2021-06-10 16:40:23.897: INFO @log_profile : T read data: 0.408319 2021-06-10 16:40:23.897: INFO @log_profile : T hooks: 2.899392 2021-06-10 16:40:23.897: INFO @main_loop : Epoch 21 done 2021-06-10 16:40:23.897: INFO @main_loop : Training epoch 22 2021-06-10 16:40:42.302: INFO @log_variables: train loss nanmean: 3.004245 2021-06-10 16:40:42.302: INFO @log_variables: train age_loss mean: 1.584411 2021-06-10 16:40:42.302: INFO @log_variables: train gender_loss mean: 0.651983 2021-06-10 16:40:42.302: INFO @log_variables: train age_mae mean: 16.514288 2021-06-10 16:40:42.302: INFO @log_variables: train gender_accuracy mean: 0.620054 2021-06-10 16:40:42.302: INFO @log_variables: train artificial_age_loss mean: 0.328042 2021-06-10 16:40:42.302: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:40:42.302: INFO @log_variables: train gender_confidence/accuracy mean: 0.418361 2021-06-10 16:40:42.302: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:40:42.303: INFO @log_variables: train age_confidence/accuracy mean: 0.595095 2021-06-10 16:40:42.303: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:40:42.305: INFO @metrics_hook: train age_mae: 16.514 +-0.211 (13823) 2021-06-10 16:40:42.306: INFO @metrics_hook: train gender_accuracy: 0.620 +-0.008 (13823) 2021-06-10 16:40:44.250: INFO @decay_lr : LR updated to `0.00026867603` 2021-06-10 16:40:44.251: INFO @log_profile : T train: 17.438457 2021-06-10 16:40:44.251: INFO @log_profile : T read data: 0.263624 2021-06-10 16:40:44.251: INFO @log_profile : T hooks: 2.603328 2021-06-10 16:40:44.251: INFO @main_loop : Epoch 22 done 2021-06-10 16:40:44.251: INFO @main_loop : Training epoch 23 2021-06-10 16:41:02.490: INFO @log_variables: train loss nanmean: 2.980212 2021-06-10 16:41:02.490: INFO @log_variables: train age_loss mean: 1.561587 2021-06-10 16:41:02.491: INFO @log_variables: train gender_loss mean: 0.648356 2021-06-10 16:41:02.491: INFO @log_variables: train age_mae mean: 16.339495 2021-06-10 16:41:02.491: INFO @log_variables: train gender_accuracy mean: 0.620009 2021-06-10 16:41:02.491: INFO @log_variables: train artificial_age_loss mean: 0.325067 2021-06-10 16:41:02.491: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:41:02.491: INFO @log_variables: train gender_confidence/accuracy mean: 0.426071 2021-06-10 16:41:02.491: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:41:02.491: INFO @log_variables: train age_confidence/accuracy mean: 0.579789 2021-06-10 16:41:02.491: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:41:02.493: INFO @metrics_hook: train age_mae: 16.339 +-0.209 (13824) 2021-06-10 16:41:02.495: INFO @metrics_hook: train gender_accuracy: 0.620 +-0.008 (13824) 2021-06-10 16:41:04.459: INFO @decay_lr : LR updated to `0.00026733265` 2021-06-10 16:41:04.460: INFO @log_profile : T train: 17.288614 2021-06-10 16:41:04.460: INFO @log_profile : T read data: 0.260855 2021-06-10 16:41:04.460: INFO @log_profile : T hooks: 2.611196 2021-06-10 16:41:04.460: INFO @main_loop : Epoch 23 done 2021-06-10 16:41:04.460: INFO @main_loop : Training epoch 24 2021-06-10 16:41:22.788: INFO @log_variables: train loss nanmean: 2.933981 2021-06-10 16:41:22.788: INFO @log_variables: train age_loss mean: 1.545773 2021-06-10 16:41:22.788: INFO @log_variables: train gender_loss mean: 0.642559 2021-06-10 16:41:22.788: INFO @log_variables: train age_mae mean: 16.182999 2021-06-10 16:41:22.789: INFO @log_variables: train gender_accuracy mean: 0.626591 2021-06-10 16:41:22.789: INFO @log_variables: train artificial_age_loss mean: 0.317329 2021-06-10 16:41:22.789: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:41:22.789: INFO @log_variables: train gender_confidence/accuracy mean: 0.414569 2021-06-10 16:41:22.789: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:41:22.789: INFO @log_variables: train age_confidence/accuracy mean: 0.586589 2021-06-10 16:41:22.790: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:41:22.792: INFO @metrics_hook: train age_mae: 16.183 +-0.212 (13824) 2021-06-10 16:41:22.794: INFO @metrics_hook: train gender_accuracy: 0.627 +-0.008 (13824) 2021-06-10 16:41:24.801: INFO @decay_lr : LR updated to `0.000265996` 2021-06-10 16:41:24.803: INFO @log_profile : T train: 17.371356 2021-06-10 16:41:24.803: INFO @log_profile : T read data: 0.257201 2021-06-10 16:41:24.803: INFO @log_profile : T hooks: 2.664956 2021-06-10 16:41:24.803: INFO @main_loop : Epoch 24 done 2021-06-10 16:41:24.803: INFO @main_loop : Training epoch 25 2021-06-10 16:41:43.262: INFO @log_variables: train loss nanmean: 2.971461 2021-06-10 16:41:43.262: INFO @log_variables: train age_loss mean: 1.553634 2021-06-10 16:41:43.263: INFO @log_variables: train gender_loss mean: 0.648922 2021-06-10 16:41:43.263: INFO @log_variables: train age_mae mean: 16.241398 2021-06-10 16:41:43.263: INFO @log_variables: train gender_accuracy mean: 0.624783 2021-06-10 16:41:43.263: INFO @log_variables: train artificial_age_loss mean: 0.321889 2021-06-10 16:41:43.263: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:41:43.263: INFO @log_variables: train gender_confidence/accuracy mean: 0.419203 2021-06-10 16:41:43.263: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:41:43.263: INFO @log_variables: train age_confidence/accuracy mean: 0.587464 2021-06-10 16:41:43.263: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:41:43.265: INFO @metrics_hook: train age_mae: 16.241 +-0.211 (13800) 2021-06-10 16:41:43.267: INFO @metrics_hook: train gender_accuracy: 0.625 +-0.008 (13800) 2021-06-10 16:41:45.220: INFO @decay_lr : LR updated to `0.000264666` 2021-06-10 16:41:45.221: INFO @log_profile : T train: 17.374480 2021-06-10 16:41:45.221: INFO @log_profile : T read data: 0.413821 2021-06-10 16:41:45.221: INFO @log_profile : T hooks: 2.581807 2021-06-10 16:41:45.221: INFO @main_loop : Epoch 25 done 2021-06-10 16:41:45.221: INFO @main_loop : Training epoch 26 2021-06-10 16:42:03.643: INFO @log_variables: train loss nanmean: 2.951022 2021-06-10 16:42:03.643: INFO @log_variables: train age_loss mean: 1.539499 2021-06-10 16:42:03.643: INFO @log_variables: train gender_loss mean: 0.643259 2021-06-10 16:42:03.643: INFO @log_variables: train age_mae mean: 16.096071 2021-06-10 16:42:03.643: INFO @log_variables: train gender_accuracy mean: 0.631655 2021-06-10 16:42:03.644: INFO @log_variables: train artificial_age_loss mean: 0.323265 2021-06-10 16:42:03.644: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:42:03.644: INFO @log_variables: train gender_confidence/accuracy mean: 0.411169 2021-06-10 16:42:03.644: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:42:03.644: INFO @log_variables: train age_confidence/accuracy mean: 0.582321 2021-06-10 16:42:03.644: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:42:03.646: INFO @metrics_hook: train age_mae: 16.096 +-0.211 (13824) 2021-06-10 16:42:03.648: INFO @metrics_hook: train gender_accuracy: 0.632 +-0.008 (13824) 2021-06-10 16:42:05.550: INFO @decay_lr : LR updated to `0.0002633427` 2021-06-10 16:42:05.551: INFO @log_profile : T train: 17.455354 2021-06-10 16:42:05.551: INFO @log_profile : T read data: 0.258602 2021-06-10 16:42:05.551: INFO @log_profile : T hooks: 2.567523 2021-06-10 16:42:05.551: INFO @main_loop : Epoch 26 done 2021-06-10 16:42:05.551: INFO @main_loop : Training epoch 27 2021-06-10 16:42:23.899: INFO @log_variables: train loss nanmean: 2.945718 2021-06-10 16:42:23.900: INFO @log_variables: train age_loss mean: 1.542797 2021-06-10 16:42:23.900: INFO @log_variables: train gender_loss mean: 0.633467 2021-06-10 16:42:23.900: INFO @log_variables: train age_mae mean: 16.143394 2021-06-10 16:42:23.900: INFO @log_variables: train gender_accuracy mean: 0.635344 2021-06-10 16:42:23.900: INFO @log_variables: train artificial_age_loss mean: 0.326667 2021-06-10 16:42:23.900: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:42:23.900: INFO @log_variables: train gender_confidence/accuracy mean: 0.419488 2021-06-10 16:42:23.900: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:42:23.900: INFO @log_variables: train age_confidence/accuracy mean: 0.582321 2021-06-10 16:42:23.900: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:42:23.902: INFO @metrics_hook: train age_mae: 16.143 +-0.210 (13824) 2021-06-10 16:42:23.904: INFO @metrics_hook: train gender_accuracy: 0.635 +-0.008 (13824) 2021-06-10 16:42:25.820: INFO @decay_lr : LR updated to `0.00026202598` 2021-06-10 16:42:25.821: INFO @log_profile : T train: 17.394076 2021-06-10 16:42:25.821: INFO @log_profile : T read data: 0.260070 2021-06-10 16:42:25.821: INFO @log_profile : T hooks: 2.567018 2021-06-10 16:42:25.821: INFO @main_loop : Epoch 27 done 2021-06-10 16:42:25.821: INFO @main_loop : Training epoch 28 2021-06-10 16:42:44.184: INFO @log_variables: train loss nanmean: 2.947210 2021-06-10 16:42:44.184: INFO @log_variables: train age_loss mean: 1.531415 2021-06-10 16:42:44.184: INFO @log_variables: train gender_loss mean: 0.640122 2021-06-10 16:42:44.185: INFO @log_variables: train age_mae mean: 16.036461 2021-06-10 16:42:44.185: INFO @log_variables: train gender_accuracy mean: 0.631293 2021-06-10 16:42:44.185: INFO @log_variables: train artificial_age_loss mean: 0.319189 2021-06-10 16:42:44.185: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:42:44.185: INFO @log_variables: train gender_confidence/accuracy mean: 0.430773 2021-06-10 16:42:44.185: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:42:44.185: INFO @log_variables: train age_confidence/accuracy mean: 0.573640 2021-06-10 16:42:44.185: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:42:44.187: INFO @metrics_hook: train age_mae: 16.036 +-0.210 (13824) 2021-06-10 16:42:44.189: INFO @metrics_hook: train gender_accuracy: 0.631 +-0.008 (13824) 2021-06-10 16:42:46.098: INFO @decay_lr : LR updated to `0.00026071584` 2021-06-10 16:42:46.099: INFO @log_profile : T train: 17.410450 2021-06-10 16:42:46.099: INFO @log_profile : T read data: 0.268258 2021-06-10 16:42:46.099: INFO @log_profile : T hooks: 2.551390 2021-06-10 16:42:46.099: INFO @main_loop : Epoch 28 done 2021-06-10 16:42:46.099: INFO @main_loop : Training epoch 29 2021-06-10 16:43:04.561: INFO @log_variables: train loss nanmean: 2.919132 2021-06-10 16:43:04.561: INFO @log_variables: train age_loss mean: 1.505262 2021-06-10 16:43:04.561: INFO @log_variables: train gender_loss mean: 0.635206 2021-06-10 16:43:04.561: INFO @log_variables: train age_mae mean: 15.806203 2021-06-10 16:43:04.561: INFO @log_variables: train gender_accuracy mean: 0.637319 2021-06-10 16:43:04.561: INFO @log_variables: train artificial_age_loss mean: 0.317915 2021-06-10 16:43:04.561: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:43:04.562: INFO @log_variables: train gender_confidence/accuracy mean: 0.425725 2021-06-10 16:43:04.562: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:43:04.562: INFO @log_variables: train age_confidence/accuracy mean: 0.586377 2021-06-10 16:43:04.562: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:43:04.563: INFO @metrics_hook: train age_mae: 15.806 +-0.209 (13800) 2021-06-10 16:43:04.565: INFO @metrics_hook: train gender_accuracy: 0.637 +-0.008 (13800) 2021-06-10 16:43:06.471: INFO @decay_lr : LR updated to `0.00025941225` 2021-06-10 16:43:06.472: INFO @log_profile : T train: 17.378440 2021-06-10 16:43:06.472: INFO @log_profile : T read data: 0.403148 2021-06-10 16:43:06.472: INFO @log_profile : T hooks: 2.543905 2021-06-10 16:43:06.472: INFO @main_loop : Epoch 29 done 2021-06-10 16:43:06.472: INFO @main_loop : Training epoch 30 2021-06-10 16:43:24.921: INFO @log_variables: train loss nanmean: 2.911896 2021-06-10 16:43:24.921: INFO @log_variables: train age_loss mean: 1.499804 2021-06-10 16:43:24.921: INFO @log_variables: train gender_loss mean: 0.632727 2021-06-10 16:43:24.921: INFO @log_variables: train age_mae mean: 15.752216 2021-06-10 16:43:24.921: INFO @log_variables: train gender_accuracy mean: 0.639829 2021-06-10 16:43:24.922: INFO @log_variables: train artificial_age_loss mean: 0.318135 2021-06-10 16:43:24.922: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:43:24.922: INFO @log_variables: train gender_confidence/accuracy mean: 0.416594 2021-06-10 16:43:24.922: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:43:24.922: INFO @log_variables: train age_confidence/accuracy mean: 0.578125 2021-06-10 16:43:24.922: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:43:24.923: INFO @metrics_hook: train age_mae: 15.752 +-0.210 (13824) 2021-06-10 16:43:24.925: INFO @metrics_hook: train gender_accuracy: 0.640 +-0.008 (13824) 2021-06-10 16:43:27.294: INFO @decay_lr : LR updated to `0.00025811518` 2021-06-10 16:43:27.295: INFO @log_profile : T train: 17.500024 2021-06-10 16:43:27.295: INFO @log_profile : T read data: 0.255484 2021-06-10 16:43:27.295: INFO @log_profile : T hooks: 3.018197 2021-06-10 16:43:27.295: INFO @main_loop : Epoch 30 done 2021-06-10 16:43:27.295: INFO @main_loop : Training epoch 31 2021-06-10 16:43:45.655: INFO @log_variables: train loss nanmean: 2.908524 2021-06-10 16:43:45.655: INFO @log_variables: train age_loss mean: 1.511012 2021-06-10 16:43:45.656: INFO @log_variables: train gender_loss mean: 0.631006 2021-06-10 16:43:45.656: INFO @log_variables: train age_mae mean: 15.840366 2021-06-10 16:43:45.656: INFO @log_variables: train gender_accuracy mean: 0.641421 2021-06-10 16:43:45.656: INFO @log_variables: train artificial_age_loss mean: 0.316375 2021-06-10 16:43:45.656: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:43:45.656: INFO @log_variables: train gender_confidence/accuracy mean: 0.409795 2021-06-10 16:43:45.656: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:43:45.656: INFO @log_variables: train age_confidence/accuracy mean: 0.592014 2021-06-10 16:43:45.656: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:43:45.658: INFO @metrics_hook: train age_mae: 15.840 +-0.209 (13824) 2021-06-10 16:43:45.660: INFO @metrics_hook: train gender_accuracy: 0.641 +-0.008 (13824) 2021-06-10 16:43:47.635: INFO @decay_lr : LR updated to `0.0002568246` 2021-06-10 16:43:47.636: INFO @log_profile : T train: 17.403403 2021-06-10 16:43:47.636: INFO @log_profile : T read data: 0.262191 2021-06-10 16:43:47.637: INFO @log_profile : T hooks: 2.628227 2021-06-10 16:43:47.637: INFO @main_loop : Epoch 31 done 2021-06-10 16:43:47.637: INFO @main_loop : Training epoch 32 2021-06-10 16:44:05.997: INFO @log_variables: train loss nanmean: 2.882458 2021-06-10 16:44:05.997: INFO @log_variables: train age_loss mean: 1.485909 2021-06-10 16:44:05.997: INFO @log_variables: train gender_loss mean: 0.622016 2021-06-10 16:44:05.997: INFO @log_variables: train age_mae mean: 15.611861 2021-06-10 16:44:05.997: INFO @log_variables: train gender_accuracy mean: 0.652416 2021-06-10 16:44:05.997: INFO @log_variables: train artificial_age_loss mean: 0.318784 2021-06-10 16:44:05.997: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:44:05.997: INFO @log_variables: train gender_confidence/accuracy mean: 0.400752 2021-06-10 16:44:05.997: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:44:05.997: INFO @log_variables: train age_confidence/accuracy mean: 0.596644 2021-06-10 16:44:05.998: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:44:05.999: INFO @metrics_hook: train age_mae: 15.612 +-0.209 (13824) 2021-06-10 16:44:06.001: INFO @metrics_hook: train gender_accuracy: 0.652 +-0.008 (13824) 2021-06-10 16:44:07.963: INFO @decay_lr : LR updated to `0.00025554048` 2021-06-10 16:44:07.965: INFO @log_profile : T train: 17.428232 2021-06-10 16:44:07.965: INFO @log_profile : T read data: 0.261334 2021-06-10 16:44:07.965: INFO @log_profile : T hooks: 2.589818 2021-06-10 16:44:07.965: INFO @main_loop : Epoch 32 done 2021-06-10 16:44:07.965: INFO @main_loop : Training epoch 33 2021-06-10 16:44:26.527: INFO @log_variables: train loss nanmean: 2.868679 2021-06-10 16:44:26.528: INFO @log_variables: train age_loss mean: 1.510018 2021-06-10 16:44:26.528: INFO @log_variables: train gender_loss mean: 0.622825 2021-06-10 16:44:26.528: INFO @log_variables: train age_mae mean: 15.819167 2021-06-10 16:44:26.528: INFO @log_variables: train gender_accuracy mean: 0.647971 2021-06-10 16:44:26.528: INFO @log_variables: train artificial_age_loss mean: 0.318513 2021-06-10 16:44:26.528: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:44:26.528: INFO @log_variables: train gender_confidence/accuracy mean: 0.404855 2021-06-10 16:44:26.528: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:44:26.528: INFO @log_variables: train age_confidence/accuracy mean: 0.601159 2021-06-10 16:44:26.528: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:44:26.530: INFO @metrics_hook: train age_mae: 15.819 +-0.211 (13800) 2021-06-10 16:44:26.532: INFO @metrics_hook: train gender_accuracy: 0.648 +-0.008 (13800) 2021-06-10 16:44:28.502: INFO @decay_lr : LR updated to `0.00025426276` 2021-06-10 16:44:28.504: INFO @log_profile : T train: 17.425615 2021-06-10 16:44:28.504: INFO @log_profile : T read data: 0.431157 2021-06-10 16:44:28.504: INFO @log_profile : T hooks: 2.632545 2021-06-10 16:44:28.504: INFO @main_loop : Epoch 33 done 2021-06-10 16:44:28.504: INFO @main_loop : Training epoch 34 2021-06-10 16:44:46.986: INFO @log_variables: train loss nanmean: 2.830158 2021-06-10 16:44:46.986: INFO @log_variables: train age_loss mean: 1.484212 2021-06-10 16:44:46.986: INFO @log_variables: train gender_loss mean: 0.618660 2021-06-10 16:44:46.986: INFO @log_variables: train age_mae mean: 15.609779 2021-06-10 16:44:46.986: INFO @log_variables: train gender_accuracy mean: 0.658348 2021-06-10 16:44:46.987: INFO @log_variables: train artificial_age_loss mean: 0.311973 2021-06-10 16:44:46.987: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:44:46.987: INFO @log_variables: train gender_confidence/accuracy mean: 0.399306 2021-06-10 16:44:46.987: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:44:46.987: INFO @log_variables: train age_confidence/accuracy mean: 0.608796 2021-06-10 16:44:46.987: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:44:46.989: INFO @metrics_hook: train age_mae: 15.610 +-0.208 (13824) 2021-06-10 16:44:46.991: INFO @metrics_hook: train gender_accuracy: 0.658 +-0.008 (13824) 2021-06-10 16:44:49.003: INFO @decay_lr : LR updated to `0.00025299145` 2021-06-10 16:44:49.004: INFO @log_profile : T train: 17.508440 2021-06-10 16:44:49.004: INFO @log_profile : T read data: 0.266232 2021-06-10 16:44:49.004: INFO @log_profile : T hooks: 2.677211 2021-06-10 16:44:49.004: INFO @main_loop : Epoch 34 done 2021-06-10 16:44:49.004: INFO @main_loop : Training epoch 35 2021-06-10 16:45:07.347: INFO @log_variables: train loss nanmean: 2.824632 2021-06-10 16:45:07.347: INFO @log_variables: train age_loss mean: 1.494346 2021-06-10 16:45:07.347: INFO @log_variables: train gender_loss mean: 0.623321 2021-06-10 16:45:07.347: INFO @log_variables: train age_mae mean: 15.689532 2021-06-10 16:45:07.347: INFO @log_variables: train gender_accuracy mean: 0.652054 2021-06-10 16:45:07.348: INFO @log_variables: train artificial_age_loss mean: 0.313203 2021-06-10 16:45:07.348: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:45:07.348: INFO @log_variables: train gender_confidence/accuracy mean: 0.399016 2021-06-10 16:45:07.348: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:45:07.348: INFO @log_variables: train age_confidence/accuracy mean: 0.615524 2021-06-10 16:45:07.348: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:45:07.350: INFO @metrics_hook: train age_mae: 15.690 +-0.209 (13824) 2021-06-10 16:45:07.352: INFO @metrics_hook: train gender_accuracy: 0.652 +-0.008 (13824) 2021-06-10 16:45:09.257: INFO @decay_lr : LR updated to `0.00025172648` 2021-06-10 16:45:09.258: INFO @log_profile : T train: 17.398512 2021-06-10 16:45:09.258: INFO @log_profile : T read data: 0.260514 2021-06-10 16:45:09.258: INFO @log_profile : T hooks: 2.545448 2021-06-10 16:45:09.258: INFO @main_loop : Epoch 35 done 2021-06-10 16:45:09.258: INFO @main_loop : Training epoch 36 2021-06-10 16:45:27.519: INFO @log_variables: train loss nanmean: 2.803661 2021-06-10 16:45:27.520: INFO @log_variables: train age_loss mean: 1.473710 2021-06-10 16:45:27.520: INFO @log_variables: train gender_loss mean: 0.605876 2021-06-10 16:45:27.520: INFO @log_variables: train age_mae mean: 15.517963 2021-06-10 16:45:27.520: INFO @log_variables: train gender_accuracy mean: 0.666450 2021-06-10 16:45:27.520: INFO @log_variables: train artificial_age_loss mean: 0.313069 2021-06-10 16:45:27.520: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:45:27.520: INFO @log_variables: train gender_confidence/accuracy mean: 0.382378 2021-06-10 16:45:27.520: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:45:27.520: INFO @log_variables: train age_confidence/accuracy mean: 0.601924 2021-06-10 16:45:27.520: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:45:27.522: INFO @metrics_hook: train age_mae: 15.518 +-0.208 (13824) 2021-06-10 16:45:27.524: INFO @metrics_hook: train gender_accuracy: 0.666 +-0.008 (13824) 2021-06-10 16:45:29.462: INFO @decay_lr : LR updated to `0.00025046786` 2021-06-10 16:45:29.463: INFO @log_profile : T train: 17.311554 2021-06-10 16:45:29.464: INFO @log_profile : T read data: 0.258350 2021-06-10 16:45:29.464: INFO @log_profile : T hooks: 2.587510 2021-06-10 16:45:29.464: INFO @main_loop : Epoch 36 done 2021-06-10 16:45:29.464: INFO @main_loop : Training epoch 37 2021-06-10 16:45:47.977: INFO @log_variables: train loss nanmean: 2.779000 2021-06-10 16:45:47.978: INFO @log_variables: train age_loss mean: 1.440962 2021-06-10 16:45:47.978: INFO @log_variables: train gender_loss mean: 0.608458 2021-06-10 16:45:47.978: INFO @log_variables: train age_mae mean: 15.189076 2021-06-10 16:45:47.978: INFO @log_variables: train gender_accuracy mean: 0.665942 2021-06-10 16:45:47.978: INFO @log_variables: train artificial_age_loss mean: 0.312657 2021-06-10 16:45:47.978: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:45:47.978: INFO @log_variables: train gender_confidence/accuracy mean: 0.395942 2021-06-10 16:45:47.978: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:45:47.978: INFO @log_variables: train age_confidence/accuracy mean: 0.599710 2021-06-10 16:45:47.978: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:45:47.980: INFO @metrics_hook: train age_mae: 15.189 +-0.205 (13800) 2021-06-10 16:45:47.982: INFO @metrics_hook: train gender_accuracy: 0.666 +-0.008 (13800) 2021-06-10 16:45:49.954: INFO @decay_lr : LR updated to `0.00024921552` 2021-06-10 16:45:49.955: INFO @log_profile : T train: 17.396474 2021-06-10 16:45:49.955: INFO @log_profile : T read data: 0.406739 2021-06-10 16:45:49.955: INFO @log_profile : T hooks: 2.639626 2021-06-10 16:45:49.955: INFO @main_loop : Epoch 37 done 2021-06-10 16:45:49.955: INFO @main_loop : Training epoch 38 2021-06-10 16:46:08.321: INFO @log_variables: train loss nanmean: 2.812071 2021-06-10 16:46:08.321: INFO @log_variables: train age_loss mean: 1.441933 2021-06-10 16:46:08.321: INFO @log_variables: train gender_loss mean: 0.606666 2021-06-10 16:46:08.321: INFO @log_variables: train age_mae mean: 15.181431 2021-06-10 16:46:08.321: INFO @log_variables: train gender_accuracy mean: 0.668403 2021-06-10 16:46:08.321: INFO @log_variables: train artificial_age_loss mean: 0.314468 2021-06-10 16:46:08.321: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:46:08.322: INFO @log_variables: train gender_confidence/accuracy mean: 0.387370 2021-06-10 16:46:08.322: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:46:08.322: INFO @log_variables: train age_confidence/accuracy mean: 0.597078 2021-06-10 16:46:08.322: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:46:08.324: INFO @metrics_hook: train age_mae: 15.181 +-0.204 (13824) 2021-06-10 16:46:08.325: INFO @metrics_hook: train gender_accuracy: 0.668 +-0.008 (13824) 2021-06-10 16:46:10.323: INFO @decay_lr : LR updated to `0.00024796944` 2021-06-10 16:46:10.324: INFO @log_profile : T train: 17.415322 2021-06-10 16:46:10.324: INFO @log_profile : T read data: 0.259658 2021-06-10 16:46:10.324: INFO @log_profile : T hooks: 2.646482 2021-06-10 16:46:10.324: INFO @main_loop : Epoch 38 done 2021-06-10 16:46:10.324: INFO @main_loop : Training epoch 39 2021-06-10 16:46:28.682: INFO @log_variables: train loss nanmean: 2.774846 2021-06-10 16:46:28.682: INFO @log_variables: train age_loss mean: 1.447985 2021-06-10 16:46:28.682: INFO @log_variables: train gender_loss mean: 0.608291 2021-06-10 16:46:28.682: INFO @log_variables: train age_mae mean: 15.253719 2021-06-10 16:46:28.683: INFO @log_variables: train gender_accuracy mean: 0.664352 2021-06-10 16:46:28.683: INFO @log_variables: train artificial_age_loss mean: 0.312058 2021-06-10 16:46:28.683: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:46:28.683: INFO @log_variables: train gender_confidence/accuracy mean: 0.389468 2021-06-10 16:46:28.683: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:46:28.683: INFO @log_variables: train age_confidence/accuracy mean: 0.611545 2021-06-10 16:46:28.683: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:46:28.685: INFO @metrics_hook: train age_mae: 15.254 +-0.203 (13824) 2021-06-10 16:46:28.687: INFO @metrics_hook: train gender_accuracy: 0.664 +-0.008 (13824) 2021-06-10 16:46:30.652: INFO @decay_lr : LR updated to `0.00024672959` 2021-06-10 16:46:30.653: INFO @log_profile : T train: 17.419371 2021-06-10 16:46:30.653: INFO @log_profile : T read data: 0.262793 2021-06-10 16:46:30.653: INFO @log_profile : T hooks: 2.598965 2021-06-10 16:46:30.653: INFO @main_loop : Epoch 39 done 2021-06-10 16:46:30.653: INFO @main_loop : Training epoch 40 2021-06-10 16:46:49.031: INFO @log_variables: train loss nanmean: 2.755624 2021-06-10 16:46:49.031: INFO @log_variables: train age_loss mean: 1.459403 2021-06-10 16:46:49.032: INFO @log_variables: train gender_loss mean: 0.596207 2021-06-10 16:46:49.032: INFO @log_variables: train age_mae mean: 15.371964 2021-06-10 16:46:49.032: INFO @log_variables: train gender_accuracy mean: 0.675637 2021-06-10 16:46:49.032: INFO @log_variables: train artificial_age_loss mean: 0.311423 2021-06-10 16:46:49.032: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:46:49.032: INFO @log_variables: train gender_confidence/accuracy mean: 0.376664 2021-06-10 16:46:49.032: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:46:49.032: INFO @log_variables: train age_confidence/accuracy mean: 0.596861 2021-06-10 16:46:49.032: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:46:49.034: INFO @metrics_hook: train age_mae: 15.372 +-0.207 (13824) 2021-06-10 16:46:49.036: INFO @metrics_hook: train gender_accuracy: 0.676 +-0.008 (13824) 2021-06-10 16:46:51.412: INFO @decay_lr : LR updated to `0.00024549593` 2021-06-10 16:46:51.413: INFO @log_profile : T train: 17.410663 2021-06-10 16:46:51.414: INFO @log_profile : T read data: 0.261766 2021-06-10 16:46:51.414: INFO @log_profile : T hooks: 3.039825 2021-06-10 16:46:51.414: INFO @main_loop : Epoch 40 done 2021-06-10 16:46:51.414: INFO @main_loop : Training epoch 41 2021-06-10 16:47:09.923: INFO @log_variables: train loss nanmean: 2.743956 2021-06-10 16:47:09.923: INFO @log_variables: train age_loss mean: 1.431824 2021-06-10 16:47:09.923: INFO @log_variables: train gender_loss mean: 0.592529 2021-06-10 16:47:09.923: INFO @log_variables: train age_mae mean: 15.108346 2021-06-10 16:47:09.923: INFO @log_variables: train gender_accuracy mean: 0.680797 2021-06-10 16:47:09.923: INFO @log_variables: train artificial_age_loss mean: 0.308756 2021-06-10 16:47:09.924: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:47:09.924: INFO @log_variables: train gender_confidence/accuracy mean: 0.381812 2021-06-10 16:47:09.924: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:47:09.924: INFO @log_variables: train age_confidence/accuracy mean: 0.579348 2021-06-10 16:47:09.924: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:47:09.926: INFO @metrics_hook: train age_mae: 15.108 +-0.207 (13800) 2021-06-10 16:47:09.928: INFO @metrics_hook: train gender_accuracy: 0.681 +-0.008 (13800) 2021-06-10 16:47:11.870: INFO @decay_lr : LR updated to `0.00024426845` 2021-06-10 16:47:11.871: INFO @log_profile : T train: 17.392015 2021-06-10 16:47:11.871: INFO @log_profile : T read data: 0.421088 2021-06-10 16:47:11.872: INFO @log_profile : T hooks: 2.596311 2021-06-10 16:47:11.872: INFO @main_loop : Epoch 41 done 2021-06-10 16:47:11.872: INFO @main_loop : Training epoch 42 2021-06-10 16:47:30.400: INFO @log_variables: train loss nanmean: 2.688825 2021-06-10 16:47:30.401: INFO @log_variables: train age_loss mean: 1.405643 2021-06-10 16:47:30.401: INFO @log_variables: train gender_loss mean: 0.589912 2021-06-10 16:47:30.401: INFO @log_variables: train age_mae mean: 14.895137 2021-06-10 16:47:30.401: INFO @log_variables: train gender_accuracy mean: 0.679398 2021-06-10 16:47:30.401: INFO @log_variables: train artificial_age_loss mean: 0.306058 2021-06-10 16:47:30.401: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:47:30.401: INFO @log_variables: train gender_confidence/accuracy mean: 0.390263 2021-06-10 16:47:30.401: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:47:30.401: INFO @log_variables: train age_confidence/accuracy mean: 0.571759 2021-06-10 16:47:30.401: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:47:30.403: INFO @metrics_hook: train age_mae: 14.895 +-0.205 (13824) 2021-06-10 16:47:30.405: INFO @metrics_hook: train gender_accuracy: 0.679 +-0.008 (13824) 2021-06-10 16:47:32.521: INFO @decay_lr : LR updated to `0.0002430471` 2021-06-10 16:47:32.523: INFO @log_profile : T train: 17.568497 2021-06-10 16:47:32.523: INFO @log_profile : T read data: 0.266354 2021-06-10 16:47:32.523: INFO @log_profile : T hooks: 2.767712 2021-06-10 16:47:32.523: INFO @main_loop : Epoch 42 done 2021-06-10 16:47:32.523: INFO @main_loop : Training epoch 43 2021-06-10 16:47:50.775: INFO @log_variables: train loss nanmean: 2.682877 2021-06-10 16:47:50.775: INFO @log_variables: train age_loss mean: 1.413788 2021-06-10 16:47:50.775: INFO @log_variables: train gender_loss mean: 0.591336 2021-06-10 16:47:50.775: INFO @log_variables: train age_mae mean: 14.918536 2021-06-10 16:47:50.775: INFO @log_variables: train gender_accuracy mean: 0.680339 2021-06-10 16:47:50.775: INFO @log_variables: train artificial_age_loss mean: 0.308949 2021-06-10 16:47:50.775: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:47:50.776: INFO @log_variables: train gender_confidence/accuracy mean: 0.378689 2021-06-10 16:47:50.776: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:47:50.776: INFO @log_variables: train age_confidence/accuracy mean: 0.579861 2021-06-10 16:47:50.776: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:47:50.778: INFO @metrics_hook: train age_mae: 14.919 +-0.201 (13824) 2021-06-10 16:47:50.780: INFO @metrics_hook: train gender_accuracy: 0.680 +-0.008 (13824) 2021-06-10 16:47:52.772: INFO @decay_lr : LR updated to `0.00024183188` 2021-06-10 16:47:52.774: INFO @log_profile : T train: 17.309405 2021-06-10 16:47:52.774: INFO @log_profile : T read data: 0.259507 2021-06-10 16:47:52.774: INFO @log_profile : T hooks: 2.633297 2021-06-10 16:47:52.774: INFO @main_loop : Epoch 43 done 2021-06-10 16:47:52.774: INFO @main_loop : Training epoch 44 2021-06-10 16:48:11.169: INFO @log_variables: train loss nanmean: 2.661695 2021-06-10 16:48:11.169: INFO @log_variables: train age_loss mean: 1.394526 2021-06-10 16:48:11.169: INFO @log_variables: train gender_loss mean: 0.583482 2021-06-10 16:48:11.169: INFO @log_variables: train age_mae mean: 14.756267 2021-06-10 16:48:11.169: INFO @log_variables: train gender_accuracy mean: 0.686921 2021-06-10 16:48:11.169: INFO @log_variables: train artificial_age_loss mean: 0.304828 2021-06-10 16:48:11.169: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:48:11.169: INFO @log_variables: train gender_confidence/accuracy mean: 0.379485 2021-06-10 16:48:11.169: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:48:11.169: INFO @log_variables: train age_confidence/accuracy mean: 0.562789 2021-06-10 16:48:11.170: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:48:11.172: INFO @metrics_hook: train age_mae: 14.756 +-0.204 (13824) 2021-06-10 16:48:11.173: INFO @metrics_hook: train gender_accuracy: 0.687 +-0.008 (13824) 2021-06-10 16:48:13.147: INFO @decay_lr : LR updated to `0.00024062271` 2021-06-10 16:48:13.148: INFO @log_profile : T train: 17.440977 2021-06-10 16:48:13.148: INFO @log_profile : T read data: 0.268738 2021-06-10 16:48:13.149: INFO @log_profile : T hooks: 2.616080 2021-06-10 16:48:13.149: INFO @main_loop : Epoch 44 done 2021-06-10 16:48:13.149: INFO @main_loop : Training epoch 45 2021-06-10 16:48:31.626: INFO @log_variables: train loss nanmean: 2.693227 2021-06-10 16:48:31.626: INFO @log_variables: train age_loss mean: 1.406875 2021-06-10 16:48:31.626: INFO @log_variables: train gender_loss mean: 0.585915 2021-06-10 16:48:31.626: INFO @log_variables: train age_mae mean: 14.865156 2021-06-10 16:48:31.626: INFO @log_variables: train gender_accuracy mean: 0.688841 2021-06-10 16:48:31.626: INFO @log_variables: train artificial_age_loss mean: 0.309486 2021-06-10 16:48:31.626: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:48:31.626: INFO @log_variables: train gender_confidence/accuracy mean: 0.375652 2021-06-10 16:48:31.626: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:48:31.627: INFO @log_variables: train age_confidence/accuracy mean: 0.570580 2021-06-10 16:48:31.627: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:48:31.628: INFO @metrics_hook: train age_mae: 14.865 +-0.204 (13800) 2021-06-10 16:48:31.630: INFO @metrics_hook: train gender_accuracy: 0.689 +-0.008 (13800) 2021-06-10 16:48:33.666: INFO @decay_lr : LR updated to `0.0002394196` 2021-06-10 16:48:33.667: INFO @log_profile : T train: 17.366485 2021-06-10 16:48:33.667: INFO @log_profile : T read data: 0.428172 2021-06-10 16:48:33.667: INFO @log_profile : T hooks: 2.675539 2021-06-10 16:48:33.668: INFO @main_loop : Epoch 45 done 2021-06-10 16:48:33.668: INFO @main_loop : Training epoch 46 2021-06-10 16:48:52.026: INFO @log_variables: train loss nanmean: 2.679454 2021-06-10 16:48:52.026: INFO @log_variables: train age_loss mean: 1.370176 2021-06-10 16:48:52.026: INFO @log_variables: train gender_loss mean: 0.588589 2021-06-10 16:48:52.026: INFO @log_variables: train age_mae mean: 14.547526 2021-06-10 16:48:52.026: INFO @log_variables: train gender_accuracy mean: 0.683666 2021-06-10 16:48:52.026: INFO @log_variables: train artificial_age_loss mean: 0.302814 2021-06-10 16:48:52.026: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:48:52.026: INFO @log_variables: train gender_confidence/accuracy mean: 0.378255 2021-06-10 16:48:52.026: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:48:52.027: INFO @log_variables: train age_confidence/accuracy mean: 0.578993 2021-06-10 16:48:52.027: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:48:52.029: INFO @metrics_hook: train age_mae: 14.548 +-0.203 (13824) 2021-06-10 16:48:52.031: INFO @metrics_hook: train gender_accuracy: 0.684 +-0.008 (13824) 2021-06-10 16:48:53.991: INFO @decay_lr : LR updated to `0.0002382225` 2021-06-10 16:48:53.992: INFO @log_profile : T train: 17.401629 2021-06-10 16:48:53.992: INFO @log_profile : T read data: 0.263531 2021-06-10 16:48:53.992: INFO @log_profile : T hooks: 2.609434 2021-06-10 16:48:53.992: INFO @main_loop : Epoch 46 done 2021-06-10 16:48:53.993: INFO @main_loop : Training epoch 47 2021-06-10 16:49:12.403: INFO @log_variables: train loss nanmean: 2.677095 2021-06-10 16:49:12.403: INFO @log_variables: train age_loss mean: 1.403384 2021-06-10 16:49:12.403: INFO @log_variables: train gender_loss mean: 0.579784 2021-06-10 16:49:12.403: INFO @log_variables: train age_mae mean: 14.866109 2021-06-10 16:49:12.403: INFO @log_variables: train gender_accuracy mean: 0.692998 2021-06-10 16:49:12.403: INFO @log_variables: train artificial_age_loss mean: 0.301865 2021-06-10 16:49:12.403: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:49:12.403: INFO @log_variables: train gender_confidence/accuracy mean: 0.371383 2021-06-10 16:49:12.404: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:49:12.404: INFO @log_variables: train age_confidence/accuracy mean: 0.589048 2021-06-10 16:49:12.404: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:49:12.405: INFO @metrics_hook: train age_mae: 14.866 +-0.207 (13824) 2021-06-10 16:49:12.406: INFO @metrics_hook: train gender_accuracy: 0.693 +-0.008 (13824) 2021-06-10 16:49:14.414: INFO @decay_lr : LR updated to `0.00023703139` 2021-06-10 16:49:14.416: INFO @log_profile : T train: 17.480964 2021-06-10 16:49:14.416: INFO @log_profile : T read data: 0.260451 2021-06-10 16:49:14.416: INFO @log_profile : T hooks: 2.632911 2021-06-10 16:49:14.416: INFO @main_loop : Epoch 47 done 2021-06-10 16:49:14.416: INFO @main_loop : Training epoch 48 2021-06-10 16:49:32.778: INFO @log_variables: train loss nanmean: 2.630996 2021-06-10 16:49:32.779: INFO @log_variables: train age_loss mean: 1.384794 2021-06-10 16:49:32.779: INFO @log_variables: train gender_loss mean: 0.583501 2021-06-10 16:49:32.779: INFO @log_variables: train age_mae mean: 14.669276 2021-06-10 16:49:32.779: INFO @log_variables: train gender_accuracy mean: 0.689887 2021-06-10 16:49:32.779: INFO @log_variables: train artificial_age_loss mean: 0.305144 2021-06-10 16:49:32.779: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:49:32.779: INFO @log_variables: train gender_confidence/accuracy mean: 0.375579 2021-06-10 16:49:32.779: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:49:32.779: INFO @log_variables: train age_confidence/accuracy mean: 0.607422 2021-06-10 16:49:32.779: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:49:32.781: INFO @metrics_hook: train age_mae: 14.669 +-0.202 (13824) 2021-06-10 16:49:32.783: INFO @metrics_hook: train gender_accuracy: 0.690 +-0.008 (13824) 2021-06-10 16:49:34.819: INFO @decay_lr : LR updated to `0.00023584624` 2021-06-10 16:49:34.820: INFO @log_profile : T train: 17.406194 2021-06-10 16:49:34.820: INFO @log_profile : T read data: 0.261577 2021-06-10 16:49:34.820: INFO @log_profile : T hooks: 2.686598 2021-06-10 16:49:34.820: INFO @main_loop : Epoch 48 done 2021-06-10 16:49:34.820: INFO @main_loop : Training epoch 49 2021-06-10 16:49:53.161: INFO @log_variables: train loss nanmean: 2.648073 2021-06-10 16:49:53.162: INFO @log_variables: train age_loss mean: 1.370560 2021-06-10 16:49:53.162: INFO @log_variables: train gender_loss mean: 0.578389 2021-06-10 16:49:53.162: INFO @log_variables: train age_mae mean: 14.540926 2021-06-10 16:49:53.162: INFO @log_variables: train gender_accuracy mean: 0.690725 2021-06-10 16:49:53.162: INFO @log_variables: train artificial_age_loss mean: 0.304352 2021-06-10 16:49:53.162: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:49:53.162: INFO @log_variables: train gender_confidence/accuracy mean: 0.373043 2021-06-10 16:49:53.162: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:49:53.162: INFO @log_variables: train age_confidence/accuracy mean: 0.599638 2021-06-10 16:49:53.162: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:49:53.163: INFO @metrics_hook: train age_mae: 14.541 +-0.203 (13800) 2021-06-10 16:49:53.164: INFO @metrics_hook: train gender_accuracy: 0.691 +-0.008 (13800) 2021-06-10 16:49:55.148: INFO @decay_lr : LR updated to `0.00023466701` 2021-06-10 16:49:55.149: INFO @log_profile : T train: 17.282144 2021-06-10 16:49:55.149: INFO @log_profile : T read data: 0.405781 2021-06-10 16:49:55.149: INFO @log_profile : T hooks: 2.593126 2021-06-10 16:49:55.149: INFO @main_loop : Epoch 49 done 2021-06-10 16:49:55.149: INFO @main_loop : Training epoch 50 2021-06-10 16:50:13.498: INFO @log_variables: train loss nanmean: 2.648694 2021-06-10 16:50:13.499: INFO @log_variables: train age_loss mean: 1.386601 2021-06-10 16:50:13.499: INFO @log_variables: train gender_loss mean: 0.573425 2021-06-10 16:50:13.499: INFO @log_variables: train age_mae mean: 14.685870 2021-06-10 16:50:13.499: INFO @log_variables: train gender_accuracy mean: 0.701100 2021-06-10 16:50:13.499: INFO @log_variables: train artificial_age_loss mean: 0.304625 2021-06-10 16:50:13.499: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:50:13.500: INFO @log_variables: train gender_confidence/accuracy mean: 0.360894 2021-06-10 16:50:13.500: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:50:13.500: INFO @log_variables: train age_confidence/accuracy mean: 0.605252 2021-06-10 16:50:13.500: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:50:13.502: INFO @metrics_hook: train age_mae: 14.686 +-0.202 (13824) 2021-06-10 16:50:13.505: INFO @metrics_hook: train gender_accuracy: 0.701 +-0.008 (13824) 2021-06-10 16:50:15.542: INFO @decay_lr : LR updated to `0.00023349367` 2021-06-10 16:50:15.543: INFO @log_profile : T train: 17.379104 2021-06-10 16:50:15.543: INFO @log_profile : T read data: 0.270773 2021-06-10 16:50:15.543: INFO @log_profile : T hooks: 2.695862 2021-06-10 16:50:15.543: INFO @main_loop : Epoch 50 done 2021-06-10 16:50:15.543: INFO @main_loop : Training epoch 51 2021-06-10 16:50:33.852: INFO @log_variables: train loss nanmean: 2.572072 2021-06-10 16:50:33.852: INFO @log_variables: train age_loss mean: 1.358662 2021-06-10 16:50:33.852: INFO @log_variables: train gender_loss mean: 0.564071 2021-06-10 16:50:33.852: INFO @log_variables: train age_mae mean: 14.433442 2021-06-10 16:50:33.852: INFO @log_variables: train gender_accuracy mean: 0.707610 2021-06-10 16:50:33.852: INFO @log_variables: train artificial_age_loss mean: 0.301466 2021-06-10 16:50:33.852: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:50:33.853: INFO @log_variables: train gender_confidence/accuracy mean: 0.356481 2021-06-10 16:50:33.853: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:50:33.853: INFO @log_variables: train age_confidence/accuracy mean: 0.591435 2021-06-10 16:50:33.853: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:50:33.855: INFO @metrics_hook: train age_mae: 14.433 +-0.200 (13824) 2021-06-10 16:50:33.857: INFO @metrics_hook: train gender_accuracy: 0.708 +-0.008 (13824) 2021-06-10 16:50:35.866: INFO @decay_lr : LR updated to `0.0002323262` 2021-06-10 16:50:35.868: INFO @log_profile : T train: 17.358309 2021-06-10 16:50:35.868: INFO @log_profile : T read data: 0.268303 2021-06-10 16:50:35.868: INFO @log_profile : T hooks: 2.649630 2021-06-10 16:50:35.868: INFO @main_loop : Epoch 51 done 2021-06-10 16:50:35.868: INFO @main_loop : Training epoch 52 2021-06-10 16:50:54.124: INFO @log_variables: train loss nanmean: 2.590381 2021-06-10 16:50:54.124: INFO @log_variables: train age_loss mean: 1.363408 2021-06-10 16:50:54.124: INFO @log_variables: train gender_loss mean: 0.569455 2021-06-10 16:50:54.124: INFO @log_variables: train age_mae mean: 14.487797 2021-06-10 16:50:54.124: INFO @log_variables: train gender_accuracy mean: 0.701461 2021-06-10 16:50:54.124: INFO @log_variables: train artificial_age_loss mean: 0.300170 2021-06-10 16:50:54.125: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:50:54.125: INFO @log_variables: train gender_confidence/accuracy mean: 0.362630 2021-06-10 16:50:54.125: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:50:54.125: INFO @log_variables: train age_confidence/accuracy mean: 0.593388 2021-06-10 16:50:54.125: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:50:54.127: INFO @metrics_hook: train age_mae: 14.488 +-0.202 (13824) 2021-06-10 16:50:54.129: INFO @metrics_hook: train gender_accuracy: 0.701 +-0.008 (13824) 2021-06-10 16:50:56.653: INFO @decay_lr : LR updated to `0.00023116457` 2021-06-10 16:50:56.654: INFO @log_profile : T train: 17.329513 2021-06-10 16:50:56.654: INFO @log_profile : T read data: 0.263728 2021-06-10 16:50:56.654: INFO @log_profile : T hooks: 3.145522 2021-06-10 16:50:56.654: INFO @main_loop : Epoch 52 done 2021-06-10 16:50:56.654: INFO @main_loop : Training epoch 53 2021-06-10 16:51:15.080: INFO @log_variables: train loss nanmean: 2.568606 2021-06-10 16:51:15.080: INFO @log_variables: train age_loss mean: 1.368602 2021-06-10 16:51:15.080: INFO @log_variables: train gender_loss mean: 0.565333 2021-06-10 16:51:15.080: INFO @log_variables: train age_mae mean: 14.516796 2021-06-10 16:51:15.080: INFO @log_variables: train gender_accuracy mean: 0.707101 2021-06-10 16:51:15.080: INFO @log_variables: train artificial_age_loss mean: 0.301305 2021-06-10 16:51:15.081: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:51:15.081: INFO @log_variables: train gender_confidence/accuracy mean: 0.357101 2021-06-10 16:51:15.081: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:51:15.081: INFO @log_variables: train age_confidence/accuracy mean: 0.603551 2021-06-10 16:51:15.081: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:51:15.082: INFO @metrics_hook: train age_mae: 14.517 +-0.202 (13800) 2021-06-10 16:51:15.083: INFO @metrics_hook: train gender_accuracy: 0.707 +-0.008 (13800) 2021-06-10 16:51:17.062: INFO @decay_lr : LR updated to `0.00023000874` 2021-06-10 16:51:17.063: INFO @log_profile : T train: 17.351282 2021-06-10 16:51:17.063: INFO @log_profile : T read data: 0.405444 2021-06-10 16:51:17.063: INFO @log_profile : T hooks: 2.604199 2021-06-10 16:51:17.063: INFO @main_loop : Epoch 53 done 2021-06-10 16:51:17.063: INFO @main_loop : Training epoch 54 2021-06-10 16:51:35.466: INFO @log_variables: train loss nanmean: 2.556808 2021-06-10 16:51:35.467: INFO @log_variables: train age_loss mean: 1.357681 2021-06-10 16:51:35.467: INFO @log_variables: train gender_loss mean: 0.561752 2021-06-10 16:51:35.467: INFO @log_variables: train age_mae mean: 14.430594 2021-06-10 16:51:35.467: INFO @log_variables: train gender_accuracy mean: 0.702908 2021-06-10 16:51:35.467: INFO @log_variables: train artificial_age_loss mean: 0.299145 2021-06-10 16:51:35.467: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:51:35.467: INFO @log_variables: train gender_confidence/accuracy mean: 0.355252 2021-06-10 16:51:35.467: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:51:35.467: INFO @log_variables: train age_confidence/accuracy mean: 0.597873 2021-06-10 16:51:35.468: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:51:35.469: INFO @metrics_hook: train age_mae: 14.431 +-0.203 (13824) 2021-06-10 16:51:35.471: INFO @metrics_hook: train gender_accuracy: 0.703 +-0.008 (13824) 2021-06-10 16:51:37.474: INFO @decay_lr : LR updated to `0.0002288587` 2021-06-10 16:51:37.476: INFO @log_profile : T train: 17.444296 2021-06-10 16:51:37.476: INFO @log_profile : T read data: 0.264644 2021-06-10 16:51:37.476: INFO @log_profile : T hooks: 2.654603 2021-06-10 16:51:37.476: INFO @main_loop : Epoch 54 done 2021-06-10 16:51:37.476: INFO @main_loop : Training epoch 55 2021-06-10 16:51:55.832: INFO @log_variables: train loss nanmean: 2.576401 2021-06-10 16:51:55.833: INFO @log_variables: train age_loss mean: 1.373544 2021-06-10 16:51:55.833: INFO @log_variables: train gender_loss mean: 0.557482 2021-06-10 16:51:55.833: INFO @log_variables: train age_mae mean: 14.580097 2021-06-10 16:51:55.833: INFO @log_variables: train gender_accuracy mean: 0.709129 2021-06-10 16:51:55.833: INFO @log_variables: train artificial_age_loss mean: 0.300411 2021-06-10 16:51:55.833: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:51:55.833: INFO @log_variables: train gender_confidence/accuracy mean: 0.360026 2021-06-10 16:51:55.833: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:51:55.833: INFO @log_variables: train age_confidence/accuracy mean: 0.602358 2021-06-10 16:51:55.833: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:51:55.835: INFO @metrics_hook: train age_mae: 14.580 +-0.204 (13824) 2021-06-10 16:51:55.837: INFO @metrics_hook: train gender_accuracy: 0.709 +-0.008 (13824) 2021-06-10 16:51:57.713: INFO @decay_lr : LR updated to `0.00022771441` 2021-06-10 16:51:57.714: INFO @log_profile : T train: 17.408162 2021-06-10 16:51:57.714: INFO @log_profile : T read data: 0.263751 2021-06-10 16:51:57.714: INFO @log_profile : T hooks: 2.516481 2021-06-10 16:51:57.714: INFO @main_loop : Epoch 55 done 2021-06-10 16:51:57.714: INFO @main_loop : Training epoch 56 2021-06-10 16:52:16.036: INFO @log_variables: train loss nanmean: 2.550982 2021-06-10 16:52:16.037: INFO @log_variables: train age_loss mean: 1.335025 2021-06-10 16:52:16.037: INFO @log_variables: train gender_loss mean: 0.555560 2021-06-10 16:52:16.037: INFO @log_variables: train age_mae mean: 14.214913 2021-06-10 16:52:16.037: INFO @log_variables: train gender_accuracy mean: 0.711733 2021-06-10 16:52:16.037: INFO @log_variables: train artificial_age_loss mean: 0.299911 2021-06-10 16:52:16.037: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:52:16.037: INFO @log_variables: train gender_confidence/accuracy mean: 0.361111 2021-06-10 16:52:16.037: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:52:16.037: INFO @log_variables: train age_confidence/accuracy mean: 0.591869 2021-06-10 16:52:16.037: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:52:16.039: INFO @metrics_hook: train age_mae: 14.215 +-0.197 (13824) 2021-06-10 16:52:16.041: INFO @metrics_hook: train gender_accuracy: 0.712 +-0.008 (13824) 2021-06-10 16:52:17.961: INFO @decay_lr : LR updated to `0.00022657584` 2021-06-10 16:52:17.962: INFO @log_profile : T train: 17.352521 2021-06-10 16:52:17.962: INFO @log_profile : T read data: 0.266682 2021-06-10 16:52:17.962: INFO @log_profile : T hooks: 2.579303 2021-06-10 16:52:17.962: INFO @main_loop : Epoch 56 done 2021-06-10 16:52:17.962: INFO @main_loop : Training epoch 57 2021-06-10 16:52:36.430: INFO @log_variables: train loss nanmean: 2.578078 2021-06-10 16:52:36.430: INFO @log_variables: train age_loss mean: 1.342582 2021-06-10 16:52:36.430: INFO @log_variables: train gender_loss mean: 0.551342 2021-06-10 16:52:36.430: INFO @log_variables: train age_mae mean: 14.279148 2021-06-10 16:52:36.430: INFO @log_variables: train gender_accuracy mean: 0.716739 2021-06-10 16:52:36.430: INFO @log_variables: train artificial_age_loss mean: 0.299775 2021-06-10 16:52:36.430: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:52:36.431: INFO @log_variables: train gender_confidence/accuracy mean: 0.357101 2021-06-10 16:52:36.431: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:52:36.431: INFO @log_variables: train age_confidence/accuracy mean: 0.591522 2021-06-10 16:52:36.431: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:52:36.433: INFO @metrics_hook: train age_mae: 14.279 +-0.200 (13800) 2021-06-10 16:52:36.435: INFO @metrics_hook: train gender_accuracy: 0.717 +-0.008 (13800) 2021-06-10 16:52:38.348: INFO @decay_lr : LR updated to `0.00022544296` 2021-06-10 16:52:38.349: INFO @log_profile : T train: 17.353021 2021-06-10 16:52:38.349: INFO @log_profile : T read data: 0.416020 2021-06-10 16:52:38.349: INFO @log_profile : T hooks: 2.569028 2021-06-10 16:52:38.349: INFO @main_loop : Epoch 57 done 2021-06-10 16:52:38.350: INFO @main_loop : Training epoch 58 2021-06-10 16:52:56.669: INFO @log_variables: train loss nanmean: 2.522319 2021-06-10 16:52:56.669: INFO @log_variables: train age_loss mean: 1.330391 2021-06-10 16:52:56.670: INFO @log_variables: train gender_loss mean: 0.544434 2021-06-10 16:52:56.670: INFO @log_variables: train age_mae mean: 14.179635 2021-06-10 16:52:56.670: INFO @log_variables: train gender_accuracy mean: 0.718388 2021-06-10 16:52:56.670: INFO @log_variables: train artificial_age_loss mean: 0.298876 2021-06-10 16:52:56.670: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:52:56.670: INFO @log_variables: train gender_confidence/accuracy mean: 0.352865 2021-06-10 16:52:56.670: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:52:56.671: INFO @log_variables: train age_confidence/accuracy mean: 0.594401 2021-06-10 16:52:56.671: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:52:56.673: INFO @metrics_hook: train age_mae: 14.180 +-0.200 (13824) 2021-06-10 16:52:56.675: INFO @metrics_hook: train gender_accuracy: 0.718 +-0.008 (13824) 2021-06-10 16:52:58.762: INFO @decay_lr : LR updated to `0.00022431574` 2021-06-10 16:52:58.763: INFO @log_profile : T train: 17.347021 2021-06-10 16:52:58.763: INFO @log_profile : T read data: 0.262803 2021-06-10 16:52:58.763: INFO @log_profile : T hooks: 2.755133 2021-06-10 16:52:58.763: INFO @main_loop : Epoch 58 done 2021-06-10 16:52:58.763: INFO @main_loop : Training epoch 59 2021-06-10 16:53:17.037: INFO @log_variables: train loss nanmean: 2.549009 2021-06-10 16:53:17.037: INFO @log_variables: train age_loss mean: 1.343518 2021-06-10 16:53:17.037: INFO @log_variables: train gender_loss mean: 0.543329 2021-06-10 16:53:17.037: INFO @log_variables: train age_mae mean: 14.293482 2021-06-10 16:53:17.037: INFO @log_variables: train gender_accuracy mean: 0.720052 2021-06-10 16:53:17.037: INFO @log_variables: train artificial_age_loss mean: 0.296883 2021-06-10 16:53:17.037: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:53:17.037: INFO @log_variables: train gender_confidence/accuracy mean: 0.351997 2021-06-10 16:53:17.037: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:53:17.037: INFO @log_variables: train age_confidence/accuracy mean: 0.598090 2021-06-10 16:53:17.038: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:53:17.040: INFO @metrics_hook: train age_mae: 14.293 +-0.201 (13824) 2021-06-10 16:53:17.042: INFO @metrics_hook: train gender_accuracy: 0.720 +-0.008 (13824) 2021-06-10 16:53:19.084: INFO @decay_lr : LR updated to `0.00022319416` 2021-06-10 16:53:19.085: INFO @log_profile : T train: 17.348042 2021-06-10 16:53:19.085: INFO @log_profile : T read data: 0.260173 2021-06-10 16:53:19.085: INFO @log_profile : T hooks: 2.666977 2021-06-10 16:53:19.085: INFO @main_loop : Epoch 59 done 2021-06-10 16:53:19.086: INFO @main_loop : Training epoch 60 2021-06-10 16:53:37.365: INFO @log_variables: train loss nanmean: 2.499116 2021-06-10 16:53:37.365: INFO @log_variables: train age_loss mean: 1.331502 2021-06-10 16:53:37.365: INFO @log_variables: train gender_loss mean: 0.539070 2021-06-10 16:53:37.365: INFO @log_variables: train age_mae mean: 14.177110 2021-06-10 16:53:37.365: INFO @log_variables: train gender_accuracy mean: 0.725405 2021-06-10 16:53:37.365: INFO @log_variables: train artificial_age_loss mean: 0.296962 2021-06-10 16:53:37.365: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:53:37.365: INFO @log_variables: train gender_confidence/accuracy mean: 0.357639 2021-06-10 16:53:37.365: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:53:37.366: INFO @log_variables: train age_confidence/accuracy mean: 0.598380 2021-06-10 16:53:37.366: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:53:37.368: INFO @metrics_hook: train age_mae: 14.177 +-0.200 (13824) 2021-06-10 16:53:37.369: INFO @metrics_hook: train gender_accuracy: 0.725 +-0.008 (13824) 2021-06-10 16:53:39.326: INFO @decay_lr : LR updated to `0.00022207819` 2021-06-10 16:53:39.327: INFO @log_profile : T train: 17.356708 2021-06-10 16:53:39.328: INFO @log_profile : T read data: 0.254405 2021-06-10 16:53:39.328: INFO @log_profile : T hooks: 2.582791 2021-06-10 16:53:39.328: INFO @main_loop : Epoch 60 done 2021-06-10 16:53:39.328: INFO @main_loop : Training epoch 61 2021-06-10 16:53:57.871: INFO @log_variables: train loss nanmean: 2.521527 2021-06-10 16:53:57.871: INFO @log_variables: train age_loss mean: 1.321409 2021-06-10 16:53:57.871: INFO @log_variables: train gender_loss mean: 0.550296 2021-06-10 16:53:57.871: INFO @log_variables: train age_mae mean: 14.087583 2021-06-10 16:53:57.871: INFO @log_variables: train gender_accuracy mean: 0.715725 2021-06-10 16:53:57.871: INFO @log_variables: train artificial_age_loss mean: 0.296047 2021-06-10 16:53:57.871: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:53:57.871: INFO @log_variables: train gender_confidence/accuracy mean: 0.365652 2021-06-10 16:53:57.871: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:53:57.871: INFO @log_variables: train age_confidence/accuracy mean: 0.591232 2021-06-10 16:53:57.872: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:53:57.873: INFO @metrics_hook: train age_mae: 14.088 +-0.201 (13800) 2021-06-10 16:53:57.875: INFO @metrics_hook: train gender_accuracy: 0.716 +-0.008 (13800) 2021-06-10 16:53:59.798: INFO @decay_lr : LR updated to `0.0002209678` 2021-06-10 16:53:59.799: INFO @log_profile : T train: 17.437188 2021-06-10 16:53:59.799: INFO @log_profile : T read data: 0.406595 2021-06-10 16:53:59.799: INFO @log_profile : T hooks: 2.578365 2021-06-10 16:53:59.799: INFO @main_loop : Epoch 61 done 2021-06-10 16:53:59.799: INFO @main_loop : Training epoch 62 2021-06-10 16:54:18.071: INFO @log_variables: train loss nanmean: 2.476527 2021-06-10 16:54:18.071: INFO @log_variables: train age_loss mean: 1.312714 2021-06-10 16:54:18.071: INFO @log_variables: train gender_loss mean: 0.542237 2021-06-10 16:54:18.071: INFO @log_variables: train age_mae mean: 13.985906 2021-06-10 16:54:18.071: INFO @log_variables: train gender_accuracy mean: 0.725260 2021-06-10 16:54:18.071: INFO @log_variables: train artificial_age_loss mean: 0.297028 2021-06-10 16:54:18.071: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:54:18.072: INFO @log_variables: train gender_confidence/accuracy mean: 0.350043 2021-06-10 16:54:18.072: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:54:18.072: INFO @log_variables: train age_confidence/accuracy mean: 0.596137 2021-06-10 16:54:18.072: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:54:18.073: INFO @metrics_hook: train age_mae: 13.986 +-0.197 (13824) 2021-06-10 16:54:18.074: INFO @metrics_hook: train gender_accuracy: 0.725 +-0.008 (13824) 2021-06-10 16:54:20.054: INFO @decay_lr : LR updated to `0.00021986297` 2021-06-10 16:54:20.055: INFO @log_profile : T train: 17.332018 2021-06-10 16:54:20.055: INFO @log_profile : T read data: 0.260350 2021-06-10 16:54:20.055: INFO @log_profile : T hooks: 2.615056 2021-06-10 16:54:20.055: INFO @main_loop : Epoch 62 done 2021-06-10 16:54:20.055: INFO @main_loop : Training epoch 63 2021-06-10 16:54:38.198: INFO @log_variables: train loss nanmean: 2.501381 2021-06-10 16:54:38.198: INFO @log_variables: train age_loss mean: 1.319587 2021-06-10 16:54:38.198: INFO @log_variables: train gender_loss mean: 0.538665 2021-06-10 16:54:38.198: INFO @log_variables: train age_mae mean: 14.067138 2021-06-10 16:54:38.198: INFO @log_variables: train gender_accuracy mean: 0.725116 2021-06-10 16:54:38.198: INFO @log_variables: train artificial_age_loss mean: 0.298389 2021-06-10 16:54:38.198: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:54:38.198: INFO @log_variables: train gender_confidence/accuracy mean: 0.355324 2021-06-10 16:54:38.199: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:54:38.199: INFO @log_variables: train age_confidence/accuracy mean: 0.597367 2021-06-10 16:54:38.199: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:54:38.201: INFO @metrics_hook: train age_mae: 14.067 +-0.199 (13824) 2021-06-10 16:54:38.203: INFO @metrics_hook: train gender_accuracy: 0.725 +-0.008 (13824) 2021-06-10 16:54:40.146: INFO @decay_lr : LR updated to `0.00021876366` 2021-06-10 16:54:40.147: INFO @log_profile : T train: 17.200392 2021-06-10 16:54:40.148: INFO @log_profile : T read data: 0.262992 2021-06-10 16:54:40.148: INFO @log_profile : T hooks: 2.580827 2021-06-10 16:54:40.148: INFO @main_loop : Epoch 63 done 2021-06-10 16:54:40.148: INFO @main_loop : Training epoch 64 2021-06-10 16:54:58.579: INFO @log_variables: train loss nanmean: 2.503945 2021-06-10 16:54:58.580: INFO @log_variables: train age_loss mean: 1.315246 2021-06-10 16:54:58.580: INFO @log_variables: train gender_loss mean: 0.533674 2021-06-10 16:54:58.580: INFO @log_variables: train age_mae mean: 14.007381 2021-06-10 16:54:58.580: INFO @log_variables: train gender_accuracy mean: 0.729890 2021-06-10 16:54:58.580: INFO @log_variables: train artificial_age_loss mean: 0.294072 2021-06-10 16:54:58.580: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:54:58.580: INFO @log_variables: train gender_confidence/accuracy mean: 0.357856 2021-06-10 16:54:58.580: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:54:58.580: INFO @log_variables: train age_confidence/accuracy mean: 0.588035 2021-06-10 16:54:58.580: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:54:58.581: INFO @metrics_hook: train age_mae: 14.007 +-0.197 (13824) 2021-06-10 16:54:58.582: INFO @metrics_hook: train gender_accuracy: 0.730 +-0.008 (13824) 2021-06-10 16:55:00.554: INFO @decay_lr : LR updated to `0.00021766983` 2021-06-10 16:55:00.556: INFO @log_profile : T train: 17.480011 2021-06-10 16:55:00.556: INFO @log_profile : T read data: 0.267771 2021-06-10 16:55:00.556: INFO @log_profile : T hooks: 2.611337 2021-06-10 16:55:00.556: INFO @main_loop : Epoch 64 done 2021-06-10 16:55:00.556: INFO @main_loop : Training epoch 65 2021-06-10 16:55:19.014: INFO @log_variables: train loss nanmean: 2.410345 2021-06-10 16:55:19.014: INFO @log_variables: train age_loss mean: 1.296910 2021-06-10 16:55:19.015: INFO @log_variables: train gender_loss mean: 0.526377 2021-06-10 16:55:19.015: INFO @log_variables: train age_mae mean: 13.860731 2021-06-10 16:55:19.015: INFO @log_variables: train gender_accuracy mean: 0.741884 2021-06-10 16:55:19.015: INFO @log_variables: train artificial_age_loss mean: 0.297617 2021-06-10 16:55:19.015: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:55:19.015: INFO @log_variables: train gender_confidence/accuracy mean: 0.347029 2021-06-10 16:55:19.015: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:55:19.015: INFO @log_variables: train age_confidence/accuracy mean: 0.578478 2021-06-10 16:55:19.015: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:55:19.016: INFO @metrics_hook: train age_mae: 13.861 +-0.199 (13800) 2021-06-10 16:55:19.017: INFO @metrics_hook: train gender_accuracy: 0.742 +-0.007 (13800) 2021-06-10 16:55:20.973: INFO @decay_lr : LR updated to `0.00021658148` 2021-06-10 16:55:20.975: INFO @log_profile : T train: 17.368616 2021-06-10 16:55:20.975: INFO @log_profile : T read data: 0.412951 2021-06-10 16:55:20.975: INFO @log_profile : T hooks: 2.588830 2021-06-10 16:55:20.975: INFO @main_loop : Epoch 65 done 2021-06-10 16:55:20.975: INFO @main_loop : Training epoch 66 2021-06-10 16:55:39.355: INFO @log_variables: train loss nanmean: 2.496063 2021-06-10 16:55:39.355: INFO @log_variables: train age_loss mean: 1.305716 2021-06-10 16:55:39.355: INFO @log_variables: train gender_loss mean: 0.532227 2021-06-10 16:55:39.355: INFO @log_variables: train age_mae mean: 13.931697 2021-06-10 16:55:39.355: INFO @log_variables: train gender_accuracy mean: 0.726924 2021-06-10 16:55:39.356: INFO @log_variables: train artificial_age_loss mean: 0.297659 2021-06-10 16:55:39.356: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:55:39.356: INFO @log_variables: train gender_confidence/accuracy mean: 0.359954 2021-06-10 16:55:39.356: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:55:39.356: INFO @log_variables: train age_confidence/accuracy mean: 0.581887 2021-06-10 16:55:39.356: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:55:39.358: INFO @metrics_hook: train age_mae: 13.932 +-0.196 (13824) 2021-06-10 16:55:39.360: INFO @metrics_hook: train gender_accuracy: 0.727 +-0.008 (13824) 2021-06-10 16:55:42.100: INFO @decay_lr : LR updated to `0.00021549857` 2021-06-10 16:55:42.101: INFO @log_profile : T train: 17.415103 2021-06-10 16:55:42.102: INFO @log_profile : T read data: 0.269568 2021-06-10 16:55:42.102: INFO @log_profile : T hooks: 3.392468 2021-06-10 16:55:42.102: INFO @main_loop : Epoch 66 done 2021-06-10 16:55:42.102: INFO @main_loop : Training epoch 67 2021-06-10 16:56:00.331: INFO @log_variables: train loss nanmean: 2.467301 2021-06-10 16:56:00.331: INFO @log_variables: train age_loss mean: 1.316328 2021-06-10 16:56:00.331: INFO @log_variables: train gender_loss mean: 0.530966 2021-06-10 16:56:00.331: INFO @log_variables: train age_mae mean: 14.020544 2021-06-10 16:56:00.331: INFO @log_variables: train gender_accuracy mean: 0.734303 2021-06-10 16:56:00.331: INFO @log_variables: train artificial_age_loss mean: 0.295507 2021-06-10 16:56:00.331: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:56:00.331: INFO @log_variables: train gender_confidence/accuracy mean: 0.358362 2021-06-10 16:56:00.331: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:56:00.331: INFO @log_variables: train age_confidence/accuracy mean: 0.574870 2021-06-10 16:56:00.332: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:56:00.333: INFO @metrics_hook: train age_mae: 14.021 +-0.198 (13824) 2021-06-10 16:56:00.335: INFO @metrics_hook: train gender_accuracy: 0.734 +-0.008 (13824) 2021-06-10 16:56:02.314: INFO @decay_lr : LR updated to `0.00021442107` 2021-06-10 16:56:02.315: INFO @log_profile : T train: 17.280521 2021-06-10 16:56:02.315: INFO @log_profile : T read data: 0.260134 2021-06-10 16:56:02.315: INFO @log_profile : T hooks: 2.623121 2021-06-10 16:56:02.315: INFO @main_loop : Epoch 67 done 2021-06-10 16:56:02.315: INFO @main_loop : Training epoch 68 2021-06-10 16:56:20.612: INFO @log_variables: train loss nanmean: 2.440907 2021-06-10 16:56:20.612: INFO @log_variables: train age_loss mean: 1.287141 2021-06-10 16:56:20.613: INFO @log_variables: train gender_loss mean: 0.521454 2021-06-10 16:56:20.613: INFO @log_variables: train age_mae mean: 13.762085 2021-06-10 16:56:20.613: INFO @log_variables: train gender_accuracy mean: 0.741392 2021-06-10 16:56:20.613: INFO @log_variables: train artificial_age_loss mean: 0.296739 2021-06-10 16:56:20.613: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:56:20.613: INFO @log_variables: train gender_confidence/accuracy mean: 0.353588 2021-06-10 16:56:20.613: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:56:20.613: INFO @log_variables: train age_confidence/accuracy mean: 0.564308 2021-06-10 16:56:20.613: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:56:20.615: INFO @metrics_hook: train age_mae: 13.762 +-0.196 (13824) 2021-06-10 16:56:20.617: INFO @metrics_hook: train gender_accuracy: 0.741 +-0.007 (13824) 2021-06-10 16:56:22.519: INFO @decay_lr : LR updated to `0.00021334896` 2021-06-10 16:56:22.520: INFO @log_profile : T train: 17.366957 2021-06-10 16:56:22.520: INFO @log_profile : T read data: 0.261079 2021-06-10 16:56:22.520: INFO @log_profile : T hooks: 2.529435 2021-06-10 16:56:22.520: INFO @main_loop : Epoch 68 done 2021-06-10 16:56:22.520: INFO @main_loop : Training epoch 69 2021-06-10 16:56:40.907: INFO @log_variables: train loss nanmean: 2.464486 2021-06-10 16:56:40.907: INFO @log_variables: train age_loss mean: 1.303380 2021-06-10 16:56:40.907: INFO @log_variables: train gender_loss mean: 0.529723 2021-06-10 16:56:40.907: INFO @log_variables: train age_mae mean: 13.905176 2021-06-10 16:56:40.907: INFO @log_variables: train gender_accuracy mean: 0.733696 2021-06-10 16:56:40.907: INFO @log_variables: train artificial_age_loss mean: 0.296411 2021-06-10 16:56:40.907: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:56:40.907: INFO @log_variables: train gender_confidence/accuracy mean: 0.350870 2021-06-10 16:56:40.907: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:56:40.907: INFO @log_variables: train age_confidence/accuracy mean: 0.572681 2021-06-10 16:56:40.908: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:56:40.910: INFO @metrics_hook: train age_mae: 13.905 +-0.198 (13800) 2021-06-10 16:56:40.912: INFO @metrics_hook: train gender_accuracy: 0.734 +-0.008 (13800) 2021-06-10 16:56:42.885: INFO @decay_lr : LR updated to `0.00021228222` 2021-06-10 16:56:42.886: INFO @log_profile : T train: 17.295977 2021-06-10 16:56:42.886: INFO @log_profile : T read data: 0.403394 2021-06-10 16:56:42.886: INFO @log_profile : T hooks: 2.618548 2021-06-10 16:56:42.887: INFO @main_loop : Epoch 69 done 2021-06-10 16:56:42.887: INFO @main_loop : Training epoch 70 2021-06-10 16:57:01.128: INFO @log_variables: train loss nanmean: 2.463742 2021-06-10 16:57:01.128: INFO @log_variables: train age_loss mean: 1.312006 2021-06-10 16:57:01.128: INFO @log_variables: train gender_loss mean: 0.525015 2021-06-10 16:57:01.129: INFO @log_variables: train age_mae mean: 13.982169 2021-06-10 16:57:01.129: INFO @log_variables: train gender_accuracy mean: 0.732422 2021-06-10 16:57:01.129: INFO @log_variables: train artificial_age_loss mean: 0.297878 2021-06-10 16:57:01.129: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:57:01.129: INFO @log_variables: train gender_confidence/accuracy mean: 0.353443 2021-06-10 16:57:01.129: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:57:01.129: INFO @log_variables: train age_confidence/accuracy mean: 0.565394 2021-06-10 16:57:01.129: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:57:01.131: INFO @metrics_hook: train age_mae: 13.982 +-0.198 (13824) 2021-06-10 16:57:01.132: INFO @metrics_hook: train gender_accuracy: 0.732 +-0.008 (13824) 2021-06-10 16:57:03.126: INFO @decay_lr : LR updated to `0.0002112208` 2021-06-10 16:57:03.128: INFO @log_profile : T train: 17.301365 2021-06-10 16:57:03.128: INFO @log_profile : T read data: 0.263721 2021-06-10 16:57:03.128: INFO @log_profile : T hooks: 2.627978 2021-06-10 16:57:03.128: INFO @main_loop : Epoch 70 done 2021-06-10 16:57:03.128: INFO @main_loop : Training epoch 71 2021-06-10 16:57:21.417: INFO @log_variables: train loss nanmean: 2.382621 2021-06-10 16:57:21.418: INFO @log_variables: train age_loss mean: 1.283851 2021-06-10 16:57:21.418: INFO @log_variables: train gender_loss mean: 0.514716 2021-06-10 16:57:21.418: INFO @log_variables: train age_mae mean: 13.735522 2021-06-10 16:57:21.418: INFO @log_variables: train gender_accuracy mean: 0.738643 2021-06-10 16:57:21.418: INFO @log_variables: train artificial_age_loss mean: 0.295083 2021-06-10 16:57:21.418: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:57:21.418: INFO @log_variables: train gender_confidence/accuracy mean: 0.352503 2021-06-10 16:57:21.418: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:57:21.418: INFO @log_variables: train age_confidence/accuracy mean: 0.570168 2021-06-10 16:57:21.418: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:57:21.420: INFO @metrics_hook: train age_mae: 13.736 +-0.199 (13824) 2021-06-10 16:57:21.422: INFO @metrics_hook: train gender_accuracy: 0.739 +-0.007 (13824) 2021-06-10 16:57:23.362: INFO @decay_lr : LR updated to `0.0002101647` 2021-06-10 16:57:23.363: INFO @log_profile : T train: 17.359697 2021-06-10 16:57:23.363: INFO @log_profile : T read data: 0.256855 2021-06-10 16:57:23.363: INFO @log_profile : T hooks: 2.571062 2021-06-10 16:57:23.363: INFO @main_loop : Epoch 71 done 2021-06-10 16:57:23.364: INFO @main_loop : Training epoch 72 2021-06-10 16:57:41.694: INFO @log_variables: train loss nanmean: 2.425242 2021-06-10 16:57:41.694: INFO @log_variables: train age_loss mean: 1.284774 2021-06-10 16:57:41.694: INFO @log_variables: train gender_loss mean: 0.519389 2021-06-10 16:57:41.694: INFO @log_variables: train age_mae mean: 13.745784 2021-06-10 16:57:41.694: INFO @log_variables: train gender_accuracy mean: 0.740813 2021-06-10 16:57:41.694: INFO @log_variables: train artificial_age_loss mean: 0.290867 2021-06-10 16:57:41.694: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:57:41.694: INFO @log_variables: train gender_confidence/accuracy mean: 0.338469 2021-06-10 16:57:41.694: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:57:41.694: INFO @log_variables: train age_confidence/accuracy mean: 0.558304 2021-06-10 16:57:41.695: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:57:41.697: INFO @metrics_hook: train age_mae: 13.746 +-0.199 (13824) 2021-06-10 16:57:41.699: INFO @metrics_hook: train gender_accuracy: 0.741 +-0.007 (13824) 2021-06-10 16:57:43.657: INFO @decay_lr : LR updated to `0.00020911387` 2021-06-10 16:57:43.659: INFO @log_profile : T train: 17.379620 2021-06-10 16:57:43.659: INFO @log_profile : T read data: 0.265347 2021-06-10 16:57:43.659: INFO @log_profile : T hooks: 2.601975 2021-06-10 16:57:43.659: INFO @main_loop : Epoch 72 done 2021-06-10 16:57:43.659: INFO @main_loop : Training epoch 73 2021-06-10 16:58:02.076: INFO @log_variables: train loss nanmean: 2.429304 2021-06-10 16:58:02.076: INFO @log_variables: train age_loss mean: 1.290610 2021-06-10 16:58:02.076: INFO @log_variables: train gender_loss mean: 0.515230 2021-06-10 16:58:02.076: INFO @log_variables: train age_mae mean: 13.789560 2021-06-10 16:58:02.076: INFO @log_variables: train gender_accuracy mean: 0.742735 2021-06-10 16:58:02.076: INFO @log_variables: train artificial_age_loss mean: 0.293702 2021-06-10 16:58:02.076: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:58:02.076: INFO @log_variables: train gender_confidence/accuracy mean: 0.331546 2021-06-10 16:58:02.076: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:58:02.077: INFO @log_variables: train age_confidence/accuracy mean: 0.562939 2021-06-10 16:58:02.077: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:58:02.079: INFO @metrics_hook: train age_mae: 13.790 +-0.197 (13799) 2021-06-10 16:58:02.081: INFO @metrics_hook: train gender_accuracy: 0.743 +-0.007 (13799) 2021-06-10 16:58:04.069: INFO @decay_lr : LR updated to `0.0002080683` 2021-06-10 16:58:04.070: INFO @log_profile : T train: 17.320822 2021-06-10 16:58:04.070: INFO @log_profile : T read data: 0.406785 2021-06-10 16:58:04.070: INFO @log_profile : T hooks: 2.634595 2021-06-10 16:58:04.070: INFO @main_loop : Epoch 73 done 2021-06-10 16:58:04.071: INFO @main_loop : Training epoch 74 2021-06-10 16:58:22.411: INFO @log_variables: train loss nanmean: 2.406355 2021-06-10 16:58:22.411: INFO @log_variables: train age_loss mean: 1.278720 2021-06-10 16:58:22.411: INFO @log_variables: train gender_loss mean: 0.516310 2021-06-10 16:58:22.411: INFO @log_variables: train age_mae mean: 13.683143 2021-06-10 16:58:22.411: INFO @log_variables: train gender_accuracy mean: 0.741753 2021-06-10 16:58:22.412: INFO @log_variables: train artificial_age_loss mean: 0.291144 2021-06-10 16:58:22.412: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:58:22.412: INFO @log_variables: train gender_confidence/accuracy mean: 0.336661 2021-06-10 16:58:22.412: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:58:22.412: INFO @log_variables: train age_confidence/accuracy mean: 0.574219 2021-06-10 16:58:22.412: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:58:22.414: INFO @metrics_hook: train age_mae: 13.683 +-0.198 (13824) 2021-06-10 16:58:22.416: INFO @metrics_hook: train gender_accuracy: 0.742 +-0.007 (13824) 2021-06-10 16:58:24.410: INFO @decay_lr : LR updated to `0.00020702796` 2021-06-10 16:58:24.412: INFO @log_profile : T train: 17.399653 2021-06-10 16:58:24.412: INFO @log_profile : T read data: 0.258400 2021-06-10 16:58:24.412: INFO @log_profile : T hooks: 2.634867 2021-06-10 16:58:24.412: INFO @main_loop : Epoch 74 done 2021-06-10 16:58:24.412: INFO @main_loop : Training epoch 75 2021-06-10 16:58:42.658: INFO @log_variables: train loss nanmean: 2.417438 2021-06-10 16:58:42.658: INFO @log_variables: train age_loss mean: 1.279124 2021-06-10 16:58:42.658: INFO @log_variables: train gender_loss mean: 0.512411 2021-06-10 16:58:42.658: INFO @log_variables: train age_mae mean: 13.676892 2021-06-10 16:58:42.658: INFO @log_variables: train gender_accuracy mean: 0.745949 2021-06-10 16:58:42.658: INFO @log_variables: train artificial_age_loss mean: 0.291808 2021-06-10 16:58:42.658: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:58:42.658: INFO @log_variables: train gender_confidence/accuracy mean: 0.333695 2021-06-10 16:58:42.658: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:58:42.659: INFO @log_variables: train age_confidence/accuracy mean: 0.573640 2021-06-10 16:58:42.659: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:58:42.661: INFO @metrics_hook: train age_mae: 13.677 +-0.198 (13824) 2021-06-10 16:58:42.662: INFO @metrics_hook: train gender_accuracy: 0.746 +-0.007 (13824) 2021-06-10 16:58:44.667: INFO @decay_lr : LR updated to `0.00020599282` 2021-06-10 16:58:44.668: INFO @log_profile : T train: 17.318676 2021-06-10 16:58:44.668: INFO @log_profile : T read data: 0.259362 2021-06-10 16:58:44.668: INFO @log_profile : T hooks: 2.630348 2021-06-10 16:58:44.668: INFO @main_loop : Epoch 75 done 2021-06-10 16:58:44.668: INFO @main_loop : Training epoch 76 2021-06-10 16:59:03.004: INFO @log_variables: train loss nanmean: 2.413402 2021-06-10 16:59:03.005: INFO @log_variables: train age_loss mean: 1.260151 2021-06-10 16:59:03.005: INFO @log_variables: train gender_loss mean: 0.510734 2021-06-10 16:59:03.005: INFO @log_variables: train age_mae mean: 13.522635 2021-06-10 16:59:03.005: INFO @log_variables: train gender_accuracy mean: 0.745135 2021-06-10 16:59:03.005: INFO @log_variables: train artificial_age_loss mean: 0.289746 2021-06-10 16:59:03.005: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:59:03.005: INFO @log_variables: train gender_confidence/accuracy mean: 0.339145 2021-06-10 16:59:03.005: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:59:03.005: INFO @log_variables: train age_confidence/accuracy mean: 0.574984 2021-06-10 16:59:03.005: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:59:03.007: INFO @metrics_hook: train age_mae: 13.523 +-0.194 (13823) 2021-06-10 16:59:03.009: INFO @metrics_hook: train gender_accuracy: 0.745 +-0.007 (13823) 2021-06-10 16:59:04.977: INFO @decay_lr : LR updated to `0.00020496285` 2021-06-10 16:59:04.978: INFO @log_profile : T train: 17.389500 2021-06-10 16:59:04.978: INFO @log_profile : T read data: 0.259250 2021-06-10 16:59:04.978: INFO @log_profile : T hooks: 2.612882 2021-06-10 16:59:04.978: INFO @main_loop : Epoch 76 done 2021-06-10 16:59:04.978: INFO @main_loop : Training epoch 77 2021-06-10 16:59:23.502: INFO @log_variables: train loss nanmean: 2.437793 2021-06-10 16:59:23.502: INFO @log_variables: train age_loss mean: 1.267885 2021-06-10 16:59:23.502: INFO @log_variables: train gender_loss mean: 0.508062 2021-06-10 16:59:23.502: INFO @log_variables: train age_mae mean: 13.575162 2021-06-10 16:59:23.502: INFO @log_variables: train gender_accuracy mean: 0.746087 2021-06-10 16:59:23.502: INFO @log_variables: train artificial_age_loss mean: 0.292355 2021-06-10 16:59:23.502: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:59:23.502: INFO @log_variables: train gender_confidence/accuracy mean: 0.334275 2021-06-10 16:59:23.502: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:59:23.502: INFO @log_variables: train age_confidence/accuracy mean: 0.571739 2021-06-10 16:59:23.503: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:59:23.505: INFO @metrics_hook: train age_mae: 13.575 +-0.195 (13800) 2021-06-10 16:59:23.506: INFO @metrics_hook: train gender_accuracy: 0.746 +-0.007 (13800) 2021-06-10 16:59:25.504: INFO @decay_lr : LR updated to `0.00020393803` 2021-06-10 16:59:25.505: INFO @log_profile : T train: 17.402679 2021-06-10 16:59:25.505: INFO @log_profile : T read data: 0.423135 2021-06-10 16:59:25.505: INFO @log_profile : T hooks: 2.651973 2021-06-10 16:59:25.505: INFO @main_loop : Epoch 77 done 2021-06-10 16:59:25.505: INFO @main_loop : Training epoch 78 2021-06-10 16:59:43.823: INFO @log_variables: train loss nanmean: 2.411541 2021-06-10 16:59:43.823: INFO @log_variables: train age_loss mean: 1.277272 2021-06-10 16:59:43.823: INFO @log_variables: train gender_loss mean: 0.507425 2021-06-10 16:59:43.823: INFO @log_variables: train age_mae mean: 13.662913 2021-06-10 16:59:43.823: INFO @log_variables: train gender_accuracy mean: 0.749421 2021-06-10 16:59:43.823: INFO @log_variables: train artificial_age_loss mean: 0.291107 2021-06-10 16:59:43.823: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 16:59:43.823: INFO @log_variables: train gender_confidence/accuracy mean: 0.326823 2021-06-10 16:59:43.823: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 16:59:43.823: INFO @log_variables: train age_confidence/accuracy mean: 0.565683 2021-06-10 16:59:43.823: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 16:59:43.825: INFO @metrics_hook: train age_mae: 13.663 +-0.198 (13824) 2021-06-10 16:59:43.827: INFO @metrics_hook: train gender_accuracy: 0.749 +-0.007 (13824) 2021-06-10 16:59:45.839: INFO @decay_lr : LR updated to `0.00020291834` 2021-06-10 16:59:45.840: INFO @log_profile : T train: 17.369520 2021-06-10 16:59:45.840: INFO @log_profile : T read data: 0.262842 2021-06-10 16:59:45.840: INFO @log_profile : T hooks: 2.654754 2021-06-10 16:59:45.840: INFO @main_loop : Epoch 78 done 2021-06-10 16:59:45.840: INFO @main_loop : Training epoch 79 2021-06-10 17:00:04.035: INFO @log_variables: train loss nanmean: 2.398781 2021-06-10 17:00:04.035: INFO @log_variables: train age_loss mean: 1.259152 2021-06-10 17:00:04.035: INFO @log_variables: train gender_loss mean: 0.507718 2021-06-10 17:00:04.036: INFO @log_variables: train age_mae mean: 13.519495 2021-06-10 17:00:04.036: INFO @log_variables: train gender_accuracy mean: 0.747396 2021-06-10 17:00:04.036: INFO @log_variables: train artificial_age_loss mean: 0.290316 2021-06-10 17:00:04.036: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:00:04.036: INFO @log_variables: train gender_confidence/accuracy mean: 0.330946 2021-06-10 17:00:04.036: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:00:04.036: INFO @log_variables: train age_confidence/accuracy mean: 0.555845 2021-06-10 17:00:04.036: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:00:04.038: INFO @metrics_hook: train age_mae: 13.519 +-0.195 (13824) 2021-06-10 17:00:04.041: INFO @metrics_hook: train gender_accuracy: 0.747 +-0.007 (13824) 2021-06-10 17:00:06.077: INFO @decay_lr : LR updated to `0.00020190375` 2021-06-10 17:00:06.078: INFO @log_profile : T train: 17.273373 2021-06-10 17:00:06.078: INFO @log_profile : T read data: 0.251157 2021-06-10 17:00:06.078: INFO @log_profile : T hooks: 2.665434 2021-06-10 17:00:06.078: INFO @main_loop : Epoch 79 done 2021-06-10 17:00:06.078: INFO @main_loop : Training epoch 80 2021-06-10 17:00:24.324: INFO @log_variables: train loss nanmean: 2.364989 2021-06-10 17:00:24.324: INFO @log_variables: train age_loss mean: 1.253733 2021-06-10 17:00:24.325: INFO @log_variables: train gender_loss mean: 0.509074 2021-06-10 17:00:24.325: INFO @log_variables: train age_mae mean: 13.440674 2021-06-10 17:00:24.325: INFO @log_variables: train gender_accuracy mean: 0.748843 2021-06-10 17:00:24.325: INFO @log_variables: train artificial_age_loss mean: 0.294363 2021-06-10 17:00:24.325: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:00:24.325: INFO @log_variables: train gender_confidence/accuracy mean: 0.328053 2021-06-10 17:00:24.325: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:00:24.325: INFO @log_variables: train age_confidence/accuracy mean: 0.544343 2021-06-10 17:00:24.325: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:00:24.327: INFO @metrics_hook: train age_mae: 13.441 +-0.192 (13824) 2021-06-10 17:00:24.329: INFO @metrics_hook: train gender_accuracy: 0.749 +-0.007 (13824) 2021-06-10 17:00:26.243: INFO @decay_lr : LR updated to `0.00020089422` 2021-06-10 17:00:26.244: INFO @log_profile : T train: 17.339170 2021-06-10 17:00:26.244: INFO @log_profile : T read data: 0.250717 2021-06-10 17:00:26.244: INFO @log_profile : T hooks: 2.529265 2021-06-10 17:00:26.244: INFO @main_loop : Epoch 80 done 2021-06-10 17:00:26.244: INFO @main_loop : Training epoch 81 2021-06-10 17:00:44.670: INFO @log_variables: train loss nanmean: 2.349555 2021-06-10 17:00:44.670: INFO @log_variables: train age_loss mean: 1.272184 2021-06-10 17:00:44.670: INFO @log_variables: train gender_loss mean: 0.495836 2021-06-10 17:00:44.670: INFO @log_variables: train age_mae mean: 13.615828 2021-06-10 17:00:44.670: INFO @log_variables: train gender_accuracy mean: 0.755797 2021-06-10 17:00:44.670: INFO @log_variables: train artificial_age_loss mean: 0.290565 2021-06-10 17:00:44.671: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:00:44.671: INFO @log_variables: train gender_confidence/accuracy mean: 0.326812 2021-06-10 17:00:44.671: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:00:44.671: INFO @log_variables: train age_confidence/accuracy mean: 0.555217 2021-06-10 17:00:44.671: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:00:44.673: INFO @metrics_hook: train age_mae: 13.616 +-0.197 (13800) 2021-06-10 17:00:44.675: INFO @metrics_hook: train gender_accuracy: 0.756 +-0.007 (13800) 2021-06-10 17:00:46.656: INFO @decay_lr : LR updated to `0.00019988975` 2021-06-10 17:00:46.657: INFO @log_profile : T train: 17.362686 2021-06-10 17:00:46.657: INFO @log_profile : T read data: 0.386139 2021-06-10 17:00:46.657: INFO @log_profile : T hooks: 2.615437 2021-06-10 17:00:46.657: INFO @main_loop : Epoch 81 done 2021-06-10 17:00:46.657: INFO @main_loop : Training epoch 82 2021-06-10 17:01:04.946: INFO @log_variables: train loss nanmean: 2.393689 2021-06-10 17:01:04.946: INFO @log_variables: train age_loss mean: 1.257336 2021-06-10 17:01:04.946: INFO @log_variables: train gender_loss mean: 0.499072 2021-06-10 17:01:04.946: INFO @log_variables: train age_mae mean: 13.488071 2021-06-10 17:01:04.947: INFO @log_variables: train gender_accuracy mean: 0.754485 2021-06-10 17:01:04.947: INFO @log_variables: train artificial_age_loss mean: 0.289607 2021-06-10 17:01:04.947: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:01:04.947: INFO @log_variables: train gender_confidence/accuracy mean: 0.324146 2021-06-10 17:01:04.947: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:01:04.947: INFO @log_variables: train age_confidence/accuracy mean: 0.551360 2021-06-10 17:01:04.947: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:01:04.948: INFO @metrics_hook: train age_mae: 13.488 +-0.196 (13824) 2021-06-10 17:01:04.949: INFO @metrics_hook: train gender_accuracy: 0.754 +-0.007 (13824) 2021-06-10 17:01:06.974: INFO @decay_lr : LR updated to `0.0001988903` 2021-06-10 17:01:06.975: INFO @log_profile : T train: 17.360627 2021-06-10 17:01:06.975: INFO @log_profile : T read data: 0.256071 2021-06-10 17:01:06.975: INFO @log_profile : T hooks: 2.653597 2021-06-10 17:01:06.975: INFO @main_loop : Epoch 82 done 2021-06-10 17:01:06.976: INFO @main_loop : Training epoch 83 2021-06-10 17:01:25.214: INFO @log_variables: train loss nanmean: 2.362815 2021-06-10 17:01:25.214: INFO @log_variables: train age_loss mean: 1.223554 2021-06-10 17:01:25.214: INFO @log_variables: train gender_loss mean: 0.507650 2021-06-10 17:01:25.214: INFO @log_variables: train age_mae mean: 13.175056 2021-06-10 17:01:25.214: INFO @log_variables: train gender_accuracy mean: 0.751374 2021-06-10 17:01:25.214: INFO @log_variables: train artificial_age_loss mean: 0.288897 2021-06-10 17:01:25.214: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:01:25.215: INFO @log_variables: train gender_confidence/accuracy mean: 0.334346 2021-06-10 17:01:25.215: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:01:25.215: INFO @log_variables: train age_confidence/accuracy mean: 0.538701 2021-06-10 17:01:25.215: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:01:25.217: INFO @metrics_hook: train age_mae: 13.175 +-0.193 (13824) 2021-06-10 17:01:25.219: INFO @metrics_hook: train gender_accuracy: 0.751 +-0.007 (13824) 2021-06-10 17:01:27.255: INFO @decay_lr : LR updated to `0.00019789585` 2021-06-10 17:01:27.256: INFO @log_profile : T train: 17.346463 2021-06-10 17:01:27.256: INFO @log_profile : T read data: 0.251952 2021-06-10 17:01:27.257: INFO @log_profile : T hooks: 2.635267 2021-06-10 17:01:27.257: INFO @main_loop : Epoch 83 done 2021-06-10 17:01:27.257: INFO @main_loop : Training epoch 84 2021-06-10 17:01:45.547: INFO @log_variables: train loss nanmean: 2.318468 2021-06-10 17:01:45.547: INFO @log_variables: train age_loss mean: 1.234596 2021-06-10 17:01:45.547: INFO @log_variables: train gender_loss mean: 0.489153 2021-06-10 17:01:45.548: INFO @log_variables: train age_mae mean: 13.270980 2021-06-10 17:01:45.548: INFO @log_variables: train gender_accuracy mean: 0.765553 2021-06-10 17:01:45.548: INFO @log_variables: train artificial_age_loss mean: 0.289331 2021-06-10 17:01:45.548: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:01:45.548: INFO @log_variables: train gender_confidence/accuracy mean: 0.325448 2021-06-10 17:01:45.548: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:01:45.548: INFO @log_variables: train age_confidence/accuracy mean: 0.548466 2021-06-10 17:01:45.548: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:01:45.551: INFO @metrics_hook: train age_mae: 13.271 +-0.193 (13824) 2021-06-10 17:01:45.554: INFO @metrics_hook: train gender_accuracy: 0.766 +-0.007 (13824) 2021-06-10 17:01:48.524: INFO @decay_lr : LR updated to `0.00019690637` 2021-06-10 17:01:48.525: INFO @log_profile : T train: 17.319697 2021-06-10 17:01:48.525: INFO @log_profile : T read data: 0.265713 2021-06-10 17:01:48.525: INFO @log_profile : T hooks: 3.633728 2021-06-10 17:01:48.525: INFO @main_loop : Epoch 84 done 2021-06-10 17:01:48.525: INFO @main_loop : Training epoch 85 2021-06-10 17:02:06.902: INFO @log_variables: train loss nanmean: 2.351375 2021-06-10 17:02:06.902: INFO @log_variables: train age_loss mean: 1.243543 2021-06-10 17:02:06.902: INFO @log_variables: train gender_loss mean: 0.490863 2021-06-10 17:02:06.902: INFO @log_variables: train age_mae mean: 13.354285 2021-06-10 17:02:06.902: INFO @log_variables: train gender_accuracy mean: 0.763116 2021-06-10 17:02:06.902: INFO @log_variables: train artificial_age_loss mean: 0.289336 2021-06-10 17:02:06.903: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:02:06.903: INFO @log_variables: train gender_confidence/accuracy mean: 0.323043 2021-06-10 17:02:06.903: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:02:06.903: INFO @log_variables: train age_confidence/accuracy mean: 0.541594 2021-06-10 17:02:06.903: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:02:06.906: INFO @metrics_hook: train age_mae: 13.354 +-0.193 (13800) 2021-06-10 17:02:06.909: INFO @metrics_hook: train gender_accuracy: 0.763 +-0.007 (13800) 2021-06-10 17:02:08.892: INFO @decay_lr : LR updated to `0.00019592184` 2021-06-10 17:02:08.894: INFO @log_profile : T train: 17.291427 2021-06-10 17:02:08.894: INFO @log_profile : T read data: 0.398688 2021-06-10 17:02:08.894: INFO @log_profile : T hooks: 2.630601 2021-06-10 17:02:08.894: INFO @main_loop : Epoch 85 done 2021-06-10 17:02:08.894: INFO @main_loop : Training epoch 86 2021-06-10 17:02:27.165: INFO @log_variables: train loss nanmean: 2.358181 2021-06-10 17:02:27.165: INFO @log_variables: train age_loss mean: 1.248772 2021-06-10 17:02:27.165: INFO @log_variables: train gender_loss mean: 0.494154 2021-06-10 17:02:27.166: INFO @log_variables: train age_mae mean: 13.408312 2021-06-10 17:02:27.166: INFO @log_variables: train gender_accuracy mean: 0.760417 2021-06-10 17:02:27.166: INFO @log_variables: train artificial_age_loss mean: 0.287749 2021-06-10 17:02:27.166: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:02:27.166: INFO @log_variables: train gender_confidence/accuracy mean: 0.319155 2021-06-10 17:02:27.166: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:02:27.166: INFO @log_variables: train age_confidence/accuracy mean: 0.538556 2021-06-10 17:02:27.166: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:02:27.167: INFO @metrics_hook: train age_mae: 13.408 +-0.195 (13824) 2021-06-10 17:02:27.168: INFO @metrics_hook: train gender_accuracy: 0.760 +-0.007 (13824) 2021-06-10 17:02:29.142: INFO @decay_lr : LR updated to `0.00019494223` 2021-06-10 17:02:29.143: INFO @log_profile : T train: 17.349787 2021-06-10 17:02:29.143: INFO @log_profile : T read data: 0.248467 2021-06-10 17:02:29.143: INFO @log_profile : T hooks: 2.602208 2021-06-10 17:02:29.143: INFO @main_loop : Epoch 86 done 2021-06-10 17:02:29.143: INFO @main_loop : Training epoch 87 2021-06-10 17:02:47.432: INFO @log_variables: train loss nanmean: 2.337105 2021-06-10 17:02:47.432: INFO @log_variables: train age_loss mean: 1.246728 2021-06-10 17:02:47.432: INFO @log_variables: train gender_loss mean: 0.498369 2021-06-10 17:02:47.432: INFO @log_variables: train age_mae mean: 13.418756 2021-06-10 17:02:47.432: INFO @log_variables: train gender_accuracy mean: 0.752243 2021-06-10 17:02:47.432: INFO @log_variables: train artificial_age_loss mean: 0.286394 2021-06-10 17:02:47.432: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:02:47.432: INFO @log_variables: train gender_confidence/accuracy mean: 0.323351 2021-06-10 17:02:47.432: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:02:47.432: INFO @log_variables: train age_confidence/accuracy mean: 0.529586 2021-06-10 17:02:47.433: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:02:47.435: INFO @metrics_hook: train age_mae: 13.419 +-0.198 (13824) 2021-06-10 17:02:47.437: INFO @metrics_hook: train gender_accuracy: 0.752 +-0.007 (13824) 2021-06-10 17:02:49.449: INFO @decay_lr : LR updated to `0.00019396751` 2021-06-10 17:02:49.451: INFO @log_profile : T train: 17.358484 2021-06-10 17:02:49.451: INFO @log_profile : T read data: 0.256245 2021-06-10 17:02:49.451: INFO @log_profile : T hooks: 2.644791 2021-06-10 17:02:49.451: INFO @main_loop : Epoch 87 done 2021-06-10 17:02:49.451: INFO @main_loop : Training epoch 88 2021-06-10 17:03:07.699: INFO @log_variables: train loss nanmean: 2.335697 2021-06-10 17:03:07.700: INFO @log_variables: train age_loss mean: 1.227788 2021-06-10 17:03:07.700: INFO @log_variables: train gender_loss mean: 0.491515 2021-06-10 17:03:07.700: INFO @log_variables: train age_mae mean: 13.223372 2021-06-10 17:03:07.700: INFO @log_variables: train gender_accuracy mean: 0.760127 2021-06-10 17:03:07.700: INFO @log_variables: train artificial_age_loss mean: 0.288136 2021-06-10 17:03:07.700: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:03:07.700: INFO @log_variables: train gender_confidence/accuracy mean: 0.328270 2021-06-10 17:03:07.700: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:03:07.700: INFO @log_variables: train age_confidence/accuracy mean: 0.522208 2021-06-10 17:03:07.700: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:03:07.702: INFO @metrics_hook: train age_mae: 13.223 +-0.194 (13824) 2021-06-10 17:03:07.703: INFO @metrics_hook: train gender_accuracy: 0.760 +-0.007 (13824) 2021-06-10 17:03:09.684: INFO @decay_lr : LR updated to `0.00019299767` 2021-06-10 17:03:09.686: INFO @log_profile : T train: 17.327735 2021-06-10 17:03:09.686: INFO @log_profile : T read data: 0.252778 2021-06-10 17:03:09.686: INFO @log_profile : T hooks: 2.606835 2021-06-10 17:03:09.686: INFO @main_loop : Epoch 88 done 2021-06-10 17:03:09.686: INFO @main_loop : Training epoch 89 2021-06-10 17:03:28.060: INFO @log_variables: train loss nanmean: 2.315220 2021-06-10 17:03:28.061: INFO @log_variables: train age_loss mean: 1.233389 2021-06-10 17:03:28.061: INFO @log_variables: train gender_loss mean: 0.496635 2021-06-10 17:03:28.061: INFO @log_variables: train age_mae mean: 13.262221 2021-06-10 17:03:28.061: INFO @log_variables: train gender_accuracy mean: 0.758986 2021-06-10 17:03:28.061: INFO @log_variables: train artificial_age_loss mean: 0.286175 2021-06-10 17:03:28.061: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:03:28.061: INFO @log_variables: train gender_confidence/accuracy mean: 0.328188 2021-06-10 17:03:28.061: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:03:28.062: INFO @log_variables: train age_confidence/accuracy mean: 0.518188 2021-06-10 17:03:28.062: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:03:28.064: INFO @metrics_hook: train age_mae: 13.262 +-0.193 (13800) 2021-06-10 17:03:28.066: INFO @metrics_hook: train gender_accuracy: 0.759 +-0.007 (13800) 2021-06-10 17:03:30.030: INFO @decay_lr : LR updated to `0.00019203269` 2021-06-10 17:03:30.031: INFO @log_profile : T train: 17.302848 2021-06-10 17:03:30.031: INFO @log_profile : T read data: 0.399403 2021-06-10 17:03:30.031: INFO @log_profile : T hooks: 2.595146 2021-06-10 17:03:30.031: INFO @main_loop : Epoch 89 done 2021-06-10 17:03:30.031: INFO @main_loop : Training epoch 90 2021-06-10 17:03:48.378: INFO @log_variables: train loss nanmean: 2.299972 2021-06-10 17:03:48.378: INFO @log_variables: train age_loss mean: 1.233572 2021-06-10 17:03:48.378: INFO @log_variables: train gender_loss mean: 0.476978 2021-06-10 17:03:48.378: INFO @log_variables: train age_mae mean: 13.269805 2021-06-10 17:03:48.378: INFO @log_variables: train gender_accuracy mean: 0.764685 2021-06-10 17:03:48.379: INFO @log_variables: train artificial_age_loss mean: 0.286184 2021-06-10 17:03:48.379: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:03:48.379: INFO @log_variables: train gender_confidence/accuracy mean: 0.325159 2021-06-10 17:03:48.379: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:03:48.379: INFO @log_variables: train age_confidence/accuracy mean: 0.521267 2021-06-10 17:03:48.379: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:03:48.381: INFO @metrics_hook: train age_mae: 13.270 +-0.193 (13824) 2021-06-10 17:03:48.383: INFO @metrics_hook: train gender_accuracy: 0.765 +-0.007 (13824) 2021-06-10 17:03:50.353: INFO @decay_lr : LR updated to `0.00019107253` 2021-06-10 17:03:50.354: INFO @log_profile : T train: 17.416573 2021-06-10 17:03:50.355: INFO @log_profile : T read data: 0.255295 2021-06-10 17:03:50.355: INFO @log_profile : T hooks: 2.602855 2021-06-10 17:03:50.355: INFO @main_loop : Epoch 90 done 2021-06-10 17:03:50.355: INFO @main_loop : Training epoch 91 2021-06-10 17:04:08.690: INFO @log_variables: train loss nanmean: 2.274973 2021-06-10 17:04:08.691: INFO @log_variables: train age_loss mean: 1.213174 2021-06-10 17:04:08.691: INFO @log_variables: train gender_loss mean: 0.474627 2021-06-10 17:04:08.691: INFO @log_variables: train age_mae mean: 13.086448 2021-06-10 17:04:08.691: INFO @log_variables: train gender_accuracy mean: 0.769893 2021-06-10 17:04:08.691: INFO @log_variables: train artificial_age_loss mean: 0.287178 2021-06-10 17:04:08.691: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:04:08.691: INFO @log_variables: train gender_confidence/accuracy mean: 0.320095 2021-06-10 17:04:08.691: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:04:08.691: INFO @log_variables: train age_confidence/accuracy mean: 0.530310 2021-06-10 17:04:08.691: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:04:08.693: INFO @metrics_hook: train age_mae: 13.086 +-0.193 (13824) 2021-06-10 17:04:08.696: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13824) 2021-06-10 17:04:10.771: INFO @decay_lr : LR updated to `0.00019011716` 2021-06-10 17:04:10.773: INFO @log_profile : T train: 17.389015 2021-06-10 17:04:10.773: INFO @log_profile : T read data: 0.259404 2021-06-10 17:04:10.773: INFO @log_profile : T hooks: 2.720418 2021-06-10 17:04:10.773: INFO @main_loop : Epoch 91 done 2021-06-10 17:04:10.773: INFO @main_loop : Training epoch 92 2021-06-10 17:04:28.974: INFO @log_variables: train loss nanmean: 2.301903 2021-06-10 17:04:28.975: INFO @log_variables: train age_loss mean: 1.223773 2021-06-10 17:04:28.975: INFO @log_variables: train gender_loss mean: 0.491517 2021-06-10 17:04:28.975: INFO @log_variables: train age_mae mean: 13.183709 2021-06-10 17:04:28.975: INFO @log_variables: train gender_accuracy mean: 0.757812 2021-06-10 17:04:28.975: INFO @log_variables: train artificial_age_loss mean: 0.285454 2021-06-10 17:04:28.975: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:04:28.975: INFO @log_variables: train gender_confidence/accuracy mean: 0.337312 2021-06-10 17:04:28.975: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:04:28.975: INFO @log_variables: train age_confidence/accuracy mean: 0.515553 2021-06-10 17:04:28.975: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:04:28.977: INFO @metrics_hook: train age_mae: 13.184 +-0.193 (13824) 2021-06-10 17:04:28.979: INFO @metrics_hook: train gender_accuracy: 0.758 +-0.007 (13824) 2021-06-10 17:04:30.972: INFO @decay_lr : LR updated to `0.00018916657` 2021-06-10 17:04:30.973: INFO @log_profile : T train: 17.258985 2021-06-10 17:04:30.973: INFO @log_profile : T read data: 0.258542 2021-06-10 17:04:30.973: INFO @log_profile : T hooks: 2.634098 2021-06-10 17:04:30.973: INFO @main_loop : Epoch 92 done 2021-06-10 17:04:30.973: INFO @main_loop : Training epoch 93 2021-06-10 17:04:49.404: INFO @log_variables: train loss nanmean: 2.299842 2021-06-10 17:04:49.404: INFO @log_variables: train age_loss mean: 1.218411 2021-06-10 17:04:49.404: INFO @log_variables: train gender_loss mean: 0.488511 2021-06-10 17:04:49.404: INFO @log_variables: train age_mae mean: 13.131641 2021-06-10 17:04:49.404: INFO @log_variables: train gender_accuracy mean: 0.761015 2021-06-10 17:04:49.404: INFO @log_variables: train artificial_age_loss mean: 0.286887 2021-06-10 17:04:49.404: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:04:49.404: INFO @log_variables: train gender_confidence/accuracy mean: 0.332246 2021-06-10 17:04:49.404: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:04:49.405: INFO @log_variables: train age_confidence/accuracy mean: 0.521087 2021-06-10 17:04:49.405: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:04:49.406: INFO @metrics_hook: train age_mae: 13.132 +-0.193 (13800) 2021-06-10 17:04:49.408: INFO @metrics_hook: train gender_accuracy: 0.761 +-0.007 (13800) 2021-06-10 17:04:51.388: INFO @decay_lr : LR updated to `0.00018822074` 2021-06-10 17:04:51.389: INFO @log_profile : T train: 17.349905 2021-06-10 17:04:51.389: INFO @log_profile : T read data: 0.416192 2021-06-10 17:04:51.389: INFO @log_profile : T hooks: 2.601563 2021-06-10 17:04:51.390: INFO @main_loop : Epoch 93 done 2021-06-10 17:04:51.390: INFO @main_loop : Training epoch 94 2021-06-10 17:05:09.721: INFO @log_variables: train loss nanmean: 2.292288 2021-06-10 17:05:09.721: INFO @log_variables: train age_loss mean: 1.210510 2021-06-10 17:05:09.721: INFO @log_variables: train gender_loss mean: 0.477070 2021-06-10 17:05:09.721: INFO @log_variables: train age_mae mean: 13.052479 2021-06-10 17:05:09.721: INFO @log_variables: train gender_accuracy mean: 0.770472 2021-06-10 17:05:09.721: INFO @log_variables: train artificial_age_loss mean: 0.285284 2021-06-10 17:05:09.721: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:05:09.721: INFO @log_variables: train gender_confidence/accuracy mean: 0.330440 2021-06-10 17:05:09.722: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:05:09.722: INFO @log_variables: train age_confidence/accuracy mean: 0.525825 2021-06-10 17:05:09.722: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:05:09.724: INFO @metrics_hook: train age_mae: 13.052 +-0.191 (13824) 2021-06-10 17:05:09.725: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13824) 2021-06-10 17:05:11.635: INFO @decay_lr : LR updated to `0.00018727964` 2021-06-10 17:05:11.637: INFO @log_profile : T train: 17.379096 2021-06-10 17:05:11.637: INFO @log_profile : T read data: 0.259737 2021-06-10 17:05:11.637: INFO @log_profile : T hooks: 2.560051 2021-06-10 17:05:11.637: INFO @main_loop : Epoch 94 done 2021-06-10 17:05:11.637: INFO @main_loop : Training epoch 95 2021-06-10 17:05:29.781: INFO @log_variables: train loss nanmean: 2.301754 2021-06-10 17:05:29.781: INFO @log_variables: train age_loss mean: 1.218948 2021-06-10 17:05:29.781: INFO @log_variables: train gender_loss mean: 0.494713 2021-06-10 17:05:29.781: INFO @log_variables: train age_mae mean: 13.141514 2021-06-10 17:05:29.782: INFO @log_variables: train gender_accuracy mean: 0.755570 2021-06-10 17:05:29.782: INFO @log_variables: train artificial_age_loss mean: 0.286826 2021-06-10 17:05:29.782: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:05:29.782: INFO @log_variables: train gender_confidence/accuracy mean: 0.339699 2021-06-10 17:05:29.782: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:05:29.782: INFO @log_variables: train age_confidence/accuracy mean: 0.519965 2021-06-10 17:05:29.782: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:05:29.785: INFO @metrics_hook: train age_mae: 13.142 +-0.192 (13824) 2021-06-10 17:05:29.787: INFO @metrics_hook: train gender_accuracy: 0.756 +-0.007 (13824) 2021-06-10 17:05:31.751: INFO @decay_lr : LR updated to `0.00018634324` 2021-06-10 17:05:31.752: INFO @log_profile : T train: 17.215408 2021-06-10 17:05:31.752: INFO @log_profile : T read data: 0.254010 2021-06-10 17:05:31.752: INFO @log_profile : T hooks: 2.598886 2021-06-10 17:05:31.753: INFO @main_loop : Epoch 95 done 2021-06-10 17:05:31.753: INFO @main_loop : Training epoch 96 2021-06-10 17:05:49.971: INFO @log_variables: train loss nanmean: 2.228060 2021-06-10 17:05:49.972: INFO @log_variables: train age_loss mean: 1.195467 2021-06-10 17:05:49.972: INFO @log_variables: train gender_loss mean: 0.480529 2021-06-10 17:05:49.972: INFO @log_variables: train age_mae mean: 12.932402 2021-06-10 17:05:49.972: INFO @log_variables: train gender_accuracy mean: 0.767361 2021-06-10 17:05:49.972: INFO @log_variables: train artificial_age_loss mean: 0.282744 2021-06-10 17:05:49.972: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:05:49.972: INFO @log_variables: train gender_confidence/accuracy mean: 0.335069 2021-06-10 17:05:49.972: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:05:49.972: INFO @log_variables: train age_confidence/accuracy mean: 0.530093 2021-06-10 17:05:49.972: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:05:49.973: INFO @metrics_hook: train age_mae: 12.932 +-0.192 (13824) 2021-06-10 17:05:49.974: INFO @metrics_hook: train gender_accuracy: 0.767 +-0.007 (13824) 2021-06-10 17:05:51.864: INFO @decay_lr : LR updated to `0.00018541153` 2021-06-10 17:05:51.865: INFO @log_profile : T train: 17.310248 2021-06-10 17:05:51.865: INFO @log_profile : T read data: 0.250983 2021-06-10 17:05:51.865: INFO @log_profile : T hooks: 2.503034 2021-06-10 17:05:51.865: INFO @main_loop : Epoch 96 done 2021-06-10 17:05:51.865: INFO @main_loop : Training epoch 97 2021-06-10 17:06:10.333: INFO @log_variables: train loss nanmean: 2.285594 2021-06-10 17:06:10.333: INFO @log_variables: train age_loss mean: 1.216634 2021-06-10 17:06:10.333: INFO @log_variables: train gender_loss mean: 0.482109 2021-06-10 17:06:10.333: INFO @log_variables: train age_mae mean: 13.114614 2021-06-10 17:06:10.333: INFO @log_variables: train gender_accuracy mean: 0.769710 2021-06-10 17:06:10.333: INFO @log_variables: train artificial_age_loss mean: 0.289512 2021-06-10 17:06:10.334: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:06:10.334: INFO @log_variables: train gender_confidence/accuracy mean: 0.331522 2021-06-10 17:06:10.334: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:06:10.334: INFO @log_variables: train age_confidence/accuracy mean: 0.513261 2021-06-10 17:06:10.334: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:06:10.336: INFO @metrics_hook: train age_mae: 13.115 +-0.191 (13800) 2021-06-10 17:06:10.338: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13800) 2021-06-10 17:06:12.237: INFO @decay_lr : LR updated to `0.00018448447` 2021-06-10 17:06:12.238: INFO @log_profile : T train: 17.388262 2021-06-10 17:06:12.238: INFO @log_profile : T read data: 0.396272 2021-06-10 17:06:12.238: INFO @log_profile : T hooks: 2.540133 2021-06-10 17:06:12.239: INFO @main_loop : Epoch 97 done 2021-06-10 17:06:12.239: INFO @main_loop : Training epoch 98 2021-06-10 17:06:30.566: INFO @log_variables: train loss nanmean: 2.294769 2021-06-10 17:06:30.566: INFO @log_variables: train age_loss mean: 1.220161 2021-06-10 17:06:30.566: INFO @log_variables: train gender_loss mean: 0.482555 2021-06-10 17:06:30.566: INFO @log_variables: train age_mae mean: 13.155184 2021-06-10 17:06:30.566: INFO @log_variables: train gender_accuracy mean: 0.768229 2021-06-10 17:06:30.566: INFO @log_variables: train artificial_age_loss mean: 0.284506 2021-06-10 17:06:30.566: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:06:30.566: INFO @log_variables: train gender_confidence/accuracy mean: 0.335214 2021-06-10 17:06:30.567: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:06:30.567: INFO @log_variables: train age_confidence/accuracy mean: 0.507668 2021-06-10 17:06:30.567: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:06:30.569: INFO @metrics_hook: train age_mae: 13.155 +-0.192 (13824) 2021-06-10 17:06:30.571: INFO @metrics_hook: train gender_accuracy: 0.768 +-0.007 (13824) 2021-06-10 17:06:32.554: INFO @decay_lr : LR updated to `0.00018356205` 2021-06-10 17:06:32.555: INFO @log_profile : T train: 17.382571 2021-06-10 17:06:32.555: INFO @log_profile : T read data: 0.255979 2021-06-10 17:06:32.555: INFO @log_profile : T hooks: 2.629881 2021-06-10 17:06:32.555: INFO @main_loop : Epoch 98 done 2021-06-10 17:06:32.555: INFO @main_loop : Training epoch 99 2021-06-10 17:06:50.790: INFO @log_variables: train loss nanmean: 2.281482 2021-06-10 17:06:50.790: INFO @log_variables: train age_loss mean: 1.207586 2021-06-10 17:06:50.790: INFO @log_variables: train gender_loss mean: 0.480897 2021-06-10 17:06:50.790: INFO @log_variables: train age_mae mean: 13.018496 2021-06-10 17:06:50.790: INFO @log_variables: train gender_accuracy mean: 0.765191 2021-06-10 17:06:50.790: INFO @log_variables: train artificial_age_loss mean: 0.283412 2021-06-10 17:06:50.790: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:06:50.790: INFO @log_variables: train gender_confidence/accuracy mean: 0.335142 2021-06-10 17:06:50.790: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:06:50.791: INFO @log_variables: train age_confidence/accuracy mean: 0.513889 2021-06-10 17:06:50.791: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:06:50.793: INFO @metrics_hook: train age_mae: 13.018 +-0.190 (13824) 2021-06-10 17:06:50.795: INFO @metrics_hook: train gender_accuracy: 0.765 +-0.007 (13824) 2021-06-10 17:06:52.753: INFO @decay_lr : LR updated to `0.00018264425` 2021-06-10 17:06:52.754: INFO @log_profile : T train: 17.300290 2021-06-10 17:06:52.754: INFO @log_profile : T read data: 0.254108 2021-06-10 17:06:52.754: INFO @log_profile : T hooks: 2.596059 2021-06-10 17:06:52.754: INFO @main_loop : Epoch 99 done 2021-06-10 17:06:52.754: INFO @main_loop : Training epoch 100 2021-06-10 17:07:11.049: INFO @log_variables: train loss nanmean: 2.231190 2021-06-10 17:07:11.049: INFO @log_variables: train age_loss mean: 1.203496 2021-06-10 17:07:11.049: INFO @log_variables: train gender_loss mean: 0.480562 2021-06-10 17:07:11.049: INFO @log_variables: train age_mae mean: 13.002355 2021-06-10 17:07:11.049: INFO @log_variables: train gender_accuracy mean: 0.767650 2021-06-10 17:07:11.049: INFO @log_variables: train artificial_age_loss mean: 0.284335 2021-06-10 17:07:11.049: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:07:11.049: INFO @log_variables: train gender_confidence/accuracy mean: 0.334491 2021-06-10 17:07:11.050: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:07:11.050: INFO @log_variables: train age_confidence/accuracy mean: 0.515553 2021-06-10 17:07:11.050: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:07:11.052: INFO @metrics_hook: train age_mae: 13.002 +-0.191 (13824) 2021-06-10 17:07:11.053: INFO @metrics_hook: train gender_accuracy: 0.768 +-0.007 (13824) 2021-06-10 17:07:13.063: INFO @decay_lr : LR updated to `0.00018173103` 2021-06-10 17:07:13.064: INFO @log_profile : T train: 17.349021 2021-06-10 17:07:13.064: INFO @log_profile : T read data: 0.257262 2021-06-10 17:07:13.064: INFO @log_profile : T hooks: 2.654872 2021-06-10 17:07:13.064: INFO @main_loop : Epoch 100 done 2021-06-10 17:07:13.064: INFO @main_loop : Training epoch 101 2021-06-10 17:07:31.363: INFO @log_variables: train loss nanmean: 2.229048 2021-06-10 17:07:31.364: INFO @log_variables: train age_loss mean: 1.189453 2021-06-10 17:07:31.364: INFO @log_variables: train gender_loss mean: 0.462236 2021-06-10 17:07:31.364: INFO @log_variables: train age_mae mean: 12.890301 2021-06-10 17:07:31.364: INFO @log_variables: train gender_accuracy mean: 0.777069 2021-06-10 17:07:31.364: INFO @log_variables: train artificial_age_loss mean: 0.284295 2021-06-10 17:07:31.364: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:07:31.364: INFO @log_variables: train gender_confidence/accuracy mean: 0.335556 2021-06-10 17:07:31.364: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:07:31.364: INFO @log_variables: train age_confidence/accuracy mean: 0.525004 2021-06-10 17:07:31.364: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:07:31.366: INFO @metrics_hook: train age_mae: 12.890 +-0.190 (13798) 2021-06-10 17:07:31.368: INFO @metrics_hook: train gender_accuracy: 0.777 +-0.007 (13798) 2021-06-10 17:07:33.332: INFO @decay_lr : LR updated to `0.00018082238` 2021-06-10 17:07:33.334: INFO @log_profile : T train: 17.228475 2021-06-10 17:07:33.334: INFO @log_profile : T read data: 0.394302 2021-06-10 17:07:33.334: INFO @log_profile : T hooks: 2.599259 2021-06-10 17:07:33.334: INFO @main_loop : Epoch 101 done 2021-06-10 17:07:33.334: INFO @main_loop : Training epoch 102 2021-06-10 17:07:51.616: INFO @log_variables: train loss nanmean: 2.231849 2021-06-10 17:07:51.616: INFO @log_variables: train age_loss mean: 1.190042 2021-06-10 17:07:51.616: INFO @log_variables: train gender_loss mean: 0.466815 2021-06-10 17:07:51.616: INFO @log_variables: train age_mae mean: 12.864940 2021-06-10 17:07:51.616: INFO @log_variables: train gender_accuracy mean: 0.774089 2021-06-10 17:07:51.616: INFO @log_variables: train artificial_age_loss mean: 0.286735 2021-06-10 17:07:51.617: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:07:51.617: INFO @log_variables: train gender_confidence/accuracy mean: 0.328848 2021-06-10 17:07:51.617: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:07:51.617: INFO @log_variables: train age_confidence/accuracy mean: 0.521991 2021-06-10 17:07:51.617: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:07:51.619: INFO @metrics_hook: train age_mae: 12.865 +-0.190 (13824) 2021-06-10 17:07:51.621: INFO @metrics_hook: train gender_accuracy: 0.774 +-0.007 (13824) 2021-06-10 17:07:53.565: INFO @decay_lr : LR updated to `0.00017991826` 2021-06-10 17:07:53.566: INFO @log_profile : T train: 17.332767 2021-06-10 17:07:53.566: INFO @log_profile : T read data: 0.260325 2021-06-10 17:07:53.566: INFO @log_profile : T hooks: 2.589898 2021-06-10 17:07:53.566: INFO @main_loop : Epoch 102 done 2021-06-10 17:07:53.566: INFO @main_loop : Training epoch 103 2021-06-10 17:08:11.906: INFO @log_variables: train loss nanmean: 2.226236 2021-06-10 17:08:11.907: INFO @log_variables: train age_loss mean: 1.191959 2021-06-10 17:08:11.907: INFO @log_variables: train gender_loss mean: 0.462765 2021-06-10 17:08:11.907: INFO @log_variables: train age_mae mean: 12.882670 2021-06-10 17:08:11.907: INFO @log_variables: train gender_accuracy mean: 0.780816 2021-06-10 17:08:11.907: INFO @log_variables: train artificial_age_loss mean: 0.282779 2021-06-10 17:08:11.907: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:08:11.907: INFO @log_variables: train gender_confidence/accuracy mean: 0.324580 2021-06-10 17:08:11.907: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:08:11.907: INFO @log_variables: train age_confidence/accuracy mean: 0.517506 2021-06-10 17:08:11.907: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:08:11.909: INFO @metrics_hook: train age_mae: 12.883 +-0.191 (13824) 2021-06-10 17:08:11.911: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13824) 2021-06-10 17:08:13.855: INFO @decay_lr : LR updated to `0.00017901868` 2021-06-10 17:08:13.856: INFO @log_profile : T train: 17.395015 2021-06-10 17:08:13.856: INFO @log_profile : T read data: 0.256276 2021-06-10 17:08:13.856: INFO @log_profile : T hooks: 2.589369 2021-06-10 17:08:13.856: INFO @main_loop : Epoch 103 done 2021-06-10 17:08:13.856: INFO @main_loop : Training epoch 104 2021-06-10 17:08:32.225: INFO @log_variables: train loss nanmean: 2.202961 2021-06-10 17:08:32.225: INFO @log_variables: train age_loss mean: 1.182971 2021-06-10 17:08:32.225: INFO @log_variables: train gender_loss mean: 0.475103 2021-06-10 17:08:32.225: INFO @log_variables: train age_mae mean: 12.830786 2021-06-10 17:08:32.225: INFO @log_variables: train gender_accuracy mean: 0.770833 2021-06-10 17:08:32.225: INFO @log_variables: train artificial_age_loss mean: 0.280727 2021-06-10 17:08:32.225: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:08:32.226: INFO @log_variables: train gender_confidence/accuracy mean: 0.318793 2021-06-10 17:08:32.226: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:08:32.226: INFO @log_variables: train age_confidence/accuracy mean: 0.524016 2021-06-10 17:08:32.226: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:08:32.228: INFO @metrics_hook: train age_mae: 12.831 +-0.191 (13824) 2021-06-10 17:08:32.230: INFO @metrics_hook: train gender_accuracy: 0.771 +-0.007 (13824) 2021-06-10 17:08:34.183: INFO @decay_lr : LR updated to `0.00017812359` 2021-06-10 17:08:34.184: INFO @log_profile : T train: 17.420144 2021-06-10 17:08:34.184: INFO @log_profile : T read data: 0.258388 2021-06-10 17:08:34.184: INFO @log_profile : T hooks: 2.601363 2021-06-10 17:08:34.184: INFO @main_loop : Epoch 104 done 2021-06-10 17:08:34.184: INFO @main_loop : Training epoch 105 2021-06-10 17:08:52.624: INFO @log_variables: train loss nanmean: 2.211385 2021-06-10 17:08:52.624: INFO @log_variables: train age_loss mean: 1.182484 2021-06-10 17:08:52.624: INFO @log_variables: train gender_loss mean: 0.468562 2021-06-10 17:08:52.624: INFO @log_variables: train age_mae mean: 12.809911 2021-06-10 17:08:52.624: INFO @log_variables: train gender_accuracy mean: 0.776304 2021-06-10 17:08:52.624: INFO @log_variables: train artificial_age_loss mean: 0.284471 2021-06-10 17:08:52.624: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:08:52.624: INFO @log_variables: train gender_confidence/accuracy mean: 0.333696 2021-06-10 17:08:52.624: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:08:52.624: INFO @log_variables: train age_confidence/accuracy mean: 0.525725 2021-06-10 17:08:52.624: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:08:52.626: INFO @metrics_hook: train age_mae: 12.810 +-0.189 (13800) 2021-06-10 17:08:52.628: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13800) 2021-06-10 17:08:54.605: INFO @decay_lr : LR updated to `0.00017723297` 2021-06-10 17:08:54.606: INFO @log_profile : T train: 17.350984 2021-06-10 17:08:54.606: INFO @log_profile : T read data: 0.408399 2021-06-10 17:08:54.607: INFO @log_profile : T hooks: 2.613266 2021-06-10 17:08:54.607: INFO @main_loop : Epoch 105 done 2021-06-10 17:08:54.607: INFO @main_loop : Training epoch 106 2021-06-10 17:09:12.840: INFO @log_variables: train loss nanmean: 2.213130 2021-06-10 17:09:12.840: INFO @log_variables: train age_loss mean: 1.183995 2021-06-10 17:09:12.840: INFO @log_variables: train gender_loss mean: 0.473463 2021-06-10 17:09:12.840: INFO @log_variables: train age_mae mean: 12.800712 2021-06-10 17:09:12.840: INFO @log_variables: train gender_accuracy mean: 0.767851 2021-06-10 17:09:12.840: INFO @log_variables: train artificial_age_loss mean: 0.283978 2021-06-10 17:09:12.840: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:09:12.840: INFO @log_variables: train gender_confidence/accuracy mean: 0.333502 2021-06-10 17:09:12.841: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:09:12.841: INFO @log_variables: train age_confidence/accuracy mean: 0.533676 2021-06-10 17:09:12.841: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:09:12.842: INFO @metrics_hook: train age_mae: 12.801 +-0.188 (13823) 2021-06-10 17:09:12.844: INFO @metrics_hook: train gender_accuracy: 0.768 +-0.007 (13823) 2021-06-10 17:09:16.061: INFO @decay_lr : LR updated to `0.0001763468` 2021-06-10 17:09:16.062: INFO @log_profile : T train: 17.307211 2021-06-10 17:09:16.062: INFO @log_profile : T read data: 0.253923 2021-06-10 17:09:16.062: INFO @log_profile : T hooks: 3.846551 2021-06-10 17:09:16.062: INFO @main_loop : Epoch 106 done 2021-06-10 17:09:16.062: INFO @main_loop : Training epoch 107 2021-06-10 17:09:34.336: INFO @log_variables: train loss nanmean: 2.192392 2021-06-10 17:09:34.337: INFO @log_variables: train age_loss mean: 1.195322 2021-06-10 17:09:34.337: INFO @log_variables: train gender_loss mean: 0.466344 2021-06-10 17:09:34.337: INFO @log_variables: train age_mae mean: 12.918324 2021-06-10 17:09:34.337: INFO @log_variables: train gender_accuracy mean: 0.778067 2021-06-10 17:09:34.337: INFO @log_variables: train artificial_age_loss mean: 0.281558 2021-06-10 17:09:34.337: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:09:34.337: INFO @log_variables: train gender_confidence/accuracy mean: 0.327257 2021-06-10 17:09:34.337: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:09:34.337: INFO @log_variables: train age_confidence/accuracy mean: 0.535735 2021-06-10 17:09:34.337: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:09:34.339: INFO @metrics_hook: train age_mae: 12.918 +-0.193 (13824) 2021-06-10 17:09:34.340: INFO @metrics_hook: train gender_accuracy: 0.778 +-0.007 (13824) 2021-06-10 17:09:36.268: INFO @decay_lr : LR updated to `0.00017546507` 2021-06-10 17:09:36.269: INFO @log_profile : T train: 17.324487 2021-06-10 17:09:36.269: INFO @log_profile : T read data: 0.256034 2021-06-10 17:09:36.269: INFO @log_profile : T hooks: 2.577426 2021-06-10 17:09:36.269: INFO @main_loop : Epoch 107 done 2021-06-10 17:09:36.269: INFO @main_loop : Training epoch 108 2021-06-10 17:09:54.524: INFO @log_variables: train loss nanmean: 2.180576 2021-06-10 17:09:54.524: INFO @log_variables: train age_loss mean: 1.195583 2021-06-10 17:09:54.524: INFO @log_variables: train gender_loss mean: 0.461341 2021-06-10 17:09:54.524: INFO @log_variables: train age_mae mean: 12.921582 2021-06-10 17:09:54.524: INFO @log_variables: train gender_accuracy mean: 0.779080 2021-06-10 17:09:54.524: INFO @log_variables: train artificial_age_loss mean: 0.282211 2021-06-10 17:09:54.524: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:09:54.524: INFO @log_variables: train gender_confidence/accuracy mean: 0.329572 2021-06-10 17:09:54.524: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:09:54.524: INFO @log_variables: train age_confidence/accuracy mean: 0.525969 2021-06-10 17:09:54.524: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:09:54.526: INFO @metrics_hook: train age_mae: 12.922 +-0.192 (13824) 2021-06-10 17:09:54.528: INFO @metrics_hook: train gender_accuracy: 0.779 +-0.007 (13824) 2021-06-10 17:09:56.560: INFO @decay_lr : LR updated to `0.00017458775` 2021-06-10 17:09:56.562: INFO @log_profile : T train: 17.316052 2021-06-10 17:09:56.562: INFO @log_profile : T read data: 0.252916 2021-06-10 17:09:56.562: INFO @log_profile : T hooks: 2.674138 2021-06-10 17:09:56.562: INFO @main_loop : Epoch 108 done 2021-06-10 17:09:56.562: INFO @main_loop : Training epoch 109 2021-06-10 17:10:15.027: INFO @log_variables: train loss nanmean: 2.212837 2021-06-10 17:10:15.028: INFO @log_variables: train age_loss mean: 1.176265 2021-06-10 17:10:15.028: INFO @log_variables: train gender_loss mean: 0.462498 2021-06-10 17:10:15.028: INFO @log_variables: train age_mae mean: 12.773816 2021-06-10 17:10:15.028: INFO @log_variables: train gender_accuracy mean: 0.779493 2021-06-10 17:10:15.028: INFO @log_variables: train artificial_age_loss mean: 0.282334 2021-06-10 17:10:15.028: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:10:15.028: INFO @log_variables: train gender_confidence/accuracy mean: 0.334275 2021-06-10 17:10:15.028: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:10:15.028: INFO @log_variables: train age_confidence/accuracy mean: 0.531667 2021-06-10 17:10:15.028: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:10:15.030: INFO @metrics_hook: train age_mae: 12.774 +-0.189 (13800) 2021-06-10 17:10:15.032: INFO @metrics_hook: train gender_accuracy: 0.779 +-0.007 (13800) 2021-06-10 17:10:16.977: INFO @decay_lr : LR updated to `0.00017371481` 2021-06-10 17:10:16.979: INFO @log_profile : T train: 17.355396 2021-06-10 17:10:16.979: INFO @log_profile : T read data: 0.419021 2021-06-10 17:10:16.979: INFO @log_profile : T hooks: 2.593692 2021-06-10 17:10:16.979: INFO @main_loop : Epoch 109 done 2021-06-10 17:10:16.979: INFO @main_loop : Training epoch 110 2021-06-10 17:10:35.238: INFO @log_variables: train loss nanmean: 2.223356 2021-06-10 17:10:35.239: INFO @log_variables: train age_loss mean: 1.195261 2021-06-10 17:10:35.239: INFO @log_variables: train gender_loss mean: 0.469883 2021-06-10 17:10:35.239: INFO @log_variables: train age_mae mean: 12.919669 2021-06-10 17:10:35.239: INFO @log_variables: train gender_accuracy mean: 0.775680 2021-06-10 17:10:35.239: INFO @log_variables: train artificial_age_loss mean: 0.281526 2021-06-10 17:10:35.239: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:10:35.239: INFO @log_variables: train gender_confidence/accuracy mean: 0.333044 2021-06-10 17:10:35.239: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:10:35.239: INFO @log_variables: train age_confidence/accuracy mean: 0.522135 2021-06-10 17:10:35.239: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:10:35.241: INFO @metrics_hook: train age_mae: 12.920 +-0.191 (13824) 2021-06-10 17:10:35.242: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13824) 2021-06-10 17:10:37.273: INFO @decay_lr : LR updated to `0.00017284624` 2021-06-10 17:10:37.275: INFO @log_profile : T train: 17.347309 2021-06-10 17:10:37.275: INFO @log_profile : T read data: 0.250629 2021-06-10 17:10:37.275: INFO @log_profile : T hooks: 2.649918 2021-06-10 17:10:37.275: INFO @main_loop : Epoch 110 done 2021-06-10 17:10:37.275: INFO @main_loop : Training epoch 111 2021-06-10 17:10:55.519: INFO @log_variables: train loss nanmean: 2.165907 2021-06-10 17:10:55.520: INFO @log_variables: train age_loss mean: 1.179622 2021-06-10 17:10:55.520: INFO @log_variables: train gender_loss mean: 0.453107 2021-06-10 17:10:55.520: INFO @log_variables: train age_mae mean: 12.746146 2021-06-10 17:10:55.520: INFO @log_variables: train gender_accuracy mean: 0.785807 2021-06-10 17:10:55.520: INFO @log_variables: train artificial_age_loss mean: 0.283282 2021-06-10 17:10:55.520: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:10:55.520: INFO @log_variables: train gender_confidence/accuracy mean: 0.329499 2021-06-10 17:10:55.520: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:10:55.520: INFO @log_variables: train age_confidence/accuracy mean: 0.518736 2021-06-10 17:10:55.520: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:10:55.521: INFO @metrics_hook: train age_mae: 12.746 +-0.188 (13824) 2021-06-10 17:10:55.522: INFO @metrics_hook: train gender_accuracy: 0.786 +-0.007 (13824) 2021-06-10 17:10:57.577: INFO @decay_lr : LR updated to `0.000171982` 2021-06-10 17:10:57.578: INFO @log_profile : T train: 17.299321 2021-06-10 17:10:57.578: INFO @log_profile : T read data: 0.260518 2021-06-10 17:10:57.578: INFO @log_profile : T hooks: 2.694748 2021-06-10 17:10:57.579: INFO @main_loop : Epoch 111 done 2021-06-10 17:10:57.579: INFO @main_loop : Training epoch 112 2021-06-10 17:11:15.901: INFO @log_variables: train loss nanmean: 2.194407 2021-06-10 17:11:15.901: INFO @log_variables: train age_loss mean: 1.182397 2021-06-10 17:11:15.901: INFO @log_variables: train gender_loss mean: 0.458809 2021-06-10 17:11:15.901: INFO @log_variables: train age_mae mean: 12.797661 2021-06-10 17:11:15.901: INFO @log_variables: train gender_accuracy mean: 0.784505 2021-06-10 17:11:15.901: INFO @log_variables: train artificial_age_loss mean: 0.280812 2021-06-10 17:11:15.901: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:11:15.901: INFO @log_variables: train gender_confidence/accuracy mean: 0.329355 2021-06-10 17:11:15.901: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:11:15.901: INFO @log_variables: train age_confidence/accuracy mean: 0.517072 2021-06-10 17:11:15.902: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:11:15.903: INFO @metrics_hook: train age_mae: 12.798 +-0.193 (13824) 2021-06-10 17:11:15.904: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13824) 2021-06-10 17:11:17.915: INFO @decay_lr : LR updated to `0.00017112208` 2021-06-10 17:11:17.917: INFO @log_profile : T train: 17.394581 2021-06-10 17:11:17.917: INFO @log_profile : T read data: 0.254873 2021-06-10 17:11:17.917: INFO @log_profile : T hooks: 2.639749 2021-06-10 17:11:17.917: INFO @main_loop : Epoch 112 done 2021-06-10 17:11:17.917: INFO @main_loop : Training epoch 113 2021-06-10 17:11:36.336: INFO @log_variables: train loss nanmean: 2.173327 2021-06-10 17:11:36.336: INFO @log_variables: train age_loss mean: 1.176250 2021-06-10 17:11:36.336: INFO @log_variables: train gender_loss mean: 0.462611 2021-06-10 17:11:36.336: INFO @log_variables: train age_mae mean: 12.733521 2021-06-10 17:11:36.336: INFO @log_variables: train gender_accuracy mean: 0.781087 2021-06-10 17:11:36.336: INFO @log_variables: train artificial_age_loss mean: 0.280514 2021-06-10 17:11:36.336: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:11:36.336: INFO @log_variables: train gender_confidence/accuracy mean: 0.338116 2021-06-10 17:11:36.337: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:11:36.337: INFO @log_variables: train age_confidence/accuracy mean: 0.508696 2021-06-10 17:11:36.337: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:11:36.339: INFO @metrics_hook: train age_mae: 12.734 +-0.188 (13800) 2021-06-10 17:11:36.341: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13800) 2021-06-10 17:11:38.387: INFO @decay_lr : LR updated to `0.00017026647` 2021-06-10 17:11:38.388: INFO @log_profile : T train: 17.323434 2021-06-10 17:11:38.388: INFO @log_profile : T read data: 0.415191 2021-06-10 17:11:38.388: INFO @log_profile : T hooks: 2.685031 2021-06-10 17:11:38.388: INFO @main_loop : Epoch 113 done 2021-06-10 17:11:38.388: INFO @main_loop : Training epoch 114 2021-06-10 17:11:56.605: INFO @log_variables: train loss nanmean: 2.174195 2021-06-10 17:11:56.605: INFO @log_variables: train age_loss mean: 1.191432 2021-06-10 17:11:56.606: INFO @log_variables: train gender_loss mean: 0.459045 2021-06-10 17:11:56.606: INFO @log_variables: train age_mae mean: 12.874744 2021-06-10 17:11:56.606: INFO @log_variables: train gender_accuracy mean: 0.780294 2021-06-10 17:11:56.606: INFO @log_variables: train artificial_age_loss mean: 0.283178 2021-06-10 17:11:56.606: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:11:56.606: INFO @log_variables: train gender_confidence/accuracy mean: 0.332200 2021-06-10 17:11:56.606: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:11:56.606: INFO @log_variables: train age_confidence/accuracy mean: 0.522029 2021-06-10 17:11:56.606: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:11:56.608: INFO @metrics_hook: train age_mae: 12.875 +-0.190 (13823) 2021-06-10 17:11:56.610: INFO @metrics_hook: train gender_accuracy: 0.780 +-0.007 (13823) 2021-06-10 17:11:58.520: INFO @decay_lr : LR updated to `0.00016941514` 2021-06-10 17:11:58.521: INFO @log_profile : T train: 17.283379 2021-06-10 17:11:58.521: INFO @log_profile : T read data: 0.252796 2021-06-10 17:11:58.522: INFO @log_profile : T hooks: 2.548426 2021-06-10 17:11:58.522: INFO @main_loop : Epoch 114 done 2021-06-10 17:11:58.522: INFO @main_loop : Training epoch 115 2021-06-10 17:12:16.748: INFO @log_variables: train loss nanmean: 2.160415 2021-06-10 17:12:16.748: INFO @log_variables: train age_loss mean: 1.166522 2021-06-10 17:12:16.749: INFO @log_variables: train gender_loss mean: 0.447600 2021-06-10 17:12:16.749: INFO @log_variables: train age_mae mean: 12.655021 2021-06-10 17:12:16.749: INFO @log_variables: train gender_accuracy mean: 0.791305 2021-06-10 17:12:16.749: INFO @log_variables: train artificial_age_loss mean: 0.280087 2021-06-10 17:12:16.749: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:12:16.749: INFO @log_variables: train gender_confidence/accuracy mean: 0.333550 2021-06-10 17:12:16.749: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:12:16.749: INFO @log_variables: train age_confidence/accuracy mean: 0.515336 2021-06-10 17:12:16.749: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:12:16.751: INFO @metrics_hook: train age_mae: 12.655 +-0.188 (13824) 2021-06-10 17:12:16.753: INFO @metrics_hook: train gender_accuracy: 0.791 +-0.007 (13824) 2021-06-10 17:12:18.657: INFO @decay_lr : LR updated to `0.00016856806` 2021-06-10 17:12:18.658: INFO @log_profile : T train: 17.294975 2021-06-10 17:12:18.658: INFO @log_profile : T read data: 0.252628 2021-06-10 17:12:18.658: INFO @log_profile : T hooks: 2.540402 2021-06-10 17:12:18.658: INFO @main_loop : Epoch 115 done 2021-06-10 17:12:18.658: INFO @main_loop : Training epoch 116 2021-06-10 17:12:36.923: INFO @log_variables: train loss nanmean: 2.172079 2021-06-10 17:12:36.924: INFO @log_variables: train age_loss mean: 1.172306 2021-06-10 17:12:36.924: INFO @log_variables: train gender_loss mean: 0.460502 2021-06-10 17:12:36.924: INFO @log_variables: train age_mae mean: 12.714972 2021-06-10 17:12:36.924: INFO @log_variables: train gender_accuracy mean: 0.778501 2021-06-10 17:12:36.924: INFO @log_variables: train artificial_age_loss mean: 0.281166 2021-06-10 17:12:36.924: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:12:36.924: INFO @log_variables: train gender_confidence/accuracy mean: 0.345486 2021-06-10 17:12:36.924: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:12:36.924: INFO @log_variables: train age_confidence/accuracy mean: 0.515625 2021-06-10 17:12:36.924: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:12:36.926: INFO @metrics_hook: train age_mae: 12.715 +-0.189 (13824) 2021-06-10 17:12:36.928: INFO @metrics_hook: train gender_accuracy: 0.779 +-0.007 (13824) 2021-06-10 17:12:38.914: INFO @decay_lr : LR updated to `0.00016772521` 2021-06-10 17:12:38.915: INFO @log_profile : T train: 17.336071 2021-06-10 17:12:38.915: INFO @log_profile : T read data: 0.248876 2021-06-10 17:12:38.915: INFO @log_profile : T hooks: 2.624094 2021-06-10 17:12:38.915: INFO @main_loop : Epoch 116 done 2021-06-10 17:12:38.916: INFO @main_loop : Training epoch 117 2021-06-10 17:12:57.298: INFO @log_variables: train loss nanmean: 2.167424 2021-06-10 17:12:57.298: INFO @log_variables: train age_loss mean: 1.149546 2021-06-10 17:12:57.298: INFO @log_variables: train gender_loss mean: 0.448901 2021-06-10 17:12:57.298: INFO @log_variables: train age_mae mean: 12.509274 2021-06-10 17:12:57.298: INFO @log_variables: train gender_accuracy mean: 0.785145 2021-06-10 17:12:57.298: INFO @log_variables: train artificial_age_loss mean: 0.284241 2021-06-10 17:12:57.298: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:12:57.298: INFO @log_variables: train gender_confidence/accuracy mean: 0.334928 2021-06-10 17:12:57.298: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:12:57.299: INFO @log_variables: train age_confidence/accuracy mean: 0.506304 2021-06-10 17:12:57.299: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:12:57.301: INFO @metrics_hook: train age_mae: 12.509 +-0.186 (13800) 2021-06-10 17:12:57.302: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13800) 2021-06-10 17:12:59.311: INFO @decay_lr : LR updated to `0.00016688659` 2021-06-10 17:12:59.312: INFO @log_profile : T train: 17.293543 2021-06-10 17:12:59.312: INFO @log_profile : T read data: 0.401699 2021-06-10 17:12:59.312: INFO @log_profile : T hooks: 2.653587 2021-06-10 17:12:59.313: INFO @main_loop : Epoch 117 done 2021-06-10 17:12:59.313: INFO @main_loop : Training epoch 118 2021-06-10 17:13:17.700: INFO @log_variables: train loss nanmean: 2.158189 2021-06-10 17:13:17.700: INFO @log_variables: train age_loss mean: 1.162484 2021-06-10 17:13:17.700: INFO @log_variables: train gender_loss mean: 0.455842 2021-06-10 17:13:17.701: INFO @log_variables: train age_mae mean: 12.622443 2021-06-10 17:13:17.701: INFO @log_variables: train gender_accuracy mean: 0.781322 2021-06-10 17:13:17.701: INFO @log_variables: train artificial_age_loss mean: 0.279208 2021-06-10 17:13:17.701: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:13:17.701: INFO @log_variables: train gender_confidence/accuracy mean: 0.340784 2021-06-10 17:13:17.701: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:13:17.701: INFO @log_variables: train age_confidence/accuracy mean: 0.507668 2021-06-10 17:13:17.702: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:13:17.704: INFO @metrics_hook: train age_mae: 12.622 +-0.188 (13824) 2021-06-10 17:13:17.707: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13824) 2021-06-10 17:13:19.684: INFO @decay_lr : LR updated to `0.00016605215` 2021-06-10 17:13:19.685: INFO @log_profile : T train: 17.450405 2021-06-10 17:13:19.685: INFO @log_profile : T read data: 0.253149 2021-06-10 17:13:19.685: INFO @log_profile : T hooks: 2.621376 2021-06-10 17:13:19.685: INFO @main_loop : Epoch 118 done 2021-06-10 17:13:19.686: INFO @main_loop : Training epoch 119 2021-06-10 17:13:37.944: INFO @log_variables: train loss nanmean: 2.127940 2021-06-10 17:13:37.944: INFO @log_variables: train age_loss mean: 1.158389 2021-06-10 17:13:37.944: INFO @log_variables: train gender_loss mean: 0.448694 2021-06-10 17:13:37.944: INFO @log_variables: train age_mae mean: 12.577332 2021-06-10 17:13:37.945: INFO @log_variables: train gender_accuracy mean: 0.787254 2021-06-10 17:13:37.945: INFO @log_variables: train artificial_age_loss mean: 0.280194 2021-06-10 17:13:37.945: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:13:37.945: INFO @log_variables: train gender_confidence/accuracy mean: 0.344690 2021-06-10 17:13:37.945: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:13:37.945: INFO @log_variables: train age_confidence/accuracy mean: 0.502025 2021-06-10 17:13:37.945: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:13:37.947: INFO @metrics_hook: train age_mae: 12.577 +-0.187 (13824) 2021-06-10 17:13:37.949: INFO @metrics_hook: train gender_accuracy: 0.787 +-0.007 (13824) 2021-06-10 17:13:39.947: INFO @decay_lr : LR updated to `0.00016522189` 2021-06-10 17:13:39.948: INFO @log_profile : T train: 17.319431 2021-06-10 17:13:39.948: INFO @log_profile : T read data: 0.253359 2021-06-10 17:13:39.948: INFO @log_profile : T hooks: 2.641830 2021-06-10 17:13:39.948: INFO @main_loop : Epoch 119 done 2021-06-10 17:13:39.949: INFO @main_loop : Training epoch 120 2021-06-10 17:13:58.320: INFO @log_variables: train loss nanmean: 2.128968 2021-06-10 17:13:58.320: INFO @log_variables: train age_loss mean: 1.171658 2021-06-10 17:13:58.320: INFO @log_variables: train gender_loss mean: 0.447838 2021-06-10 17:13:58.320: INFO @log_variables: train age_mae mean: 12.711318 2021-06-10 17:13:58.320: INFO @log_variables: train gender_accuracy mean: 0.789207 2021-06-10 17:13:58.320: INFO @log_variables: train artificial_age_loss mean: 0.283526 2021-06-10 17:13:58.320: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:13:58.321: INFO @log_variables: train gender_confidence/accuracy mean: 0.342231 2021-06-10 17:13:58.321: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:13:58.321: INFO @log_variables: train age_confidence/accuracy mean: 0.507017 2021-06-10 17:13:58.321: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:13:58.323: INFO @metrics_hook: train age_mae: 12.711 +-0.188 (13824) 2021-06-10 17:13:58.326: INFO @metrics_hook: train gender_accuracy: 0.789 +-0.007 (13824) 2021-06-10 17:14:00.226: INFO @decay_lr : LR updated to `0.00016439578` 2021-06-10 17:14:00.227: INFO @log_profile : T train: 17.402129 2021-06-10 17:14:00.227: INFO @log_profile : T read data: 0.260658 2021-06-10 17:14:00.227: INFO @log_profile : T hooks: 2.566258 2021-06-10 17:14:00.227: INFO @main_loop : Epoch 120 done 2021-06-10 17:14:00.227: INFO @main_loop : Training epoch 121 2021-06-10 17:14:18.674: INFO @log_variables: train loss nanmean: 2.119591 2021-06-10 17:14:18.674: INFO @log_variables: train age_loss mean: 1.143357 2021-06-10 17:14:18.675: INFO @log_variables: train gender_loss mean: 0.451968 2021-06-10 17:14:18.675: INFO @log_variables: train age_mae mean: 12.439683 2021-06-10 17:14:18.675: INFO @log_variables: train gender_accuracy mean: 0.785419 2021-06-10 17:14:18.675: INFO @log_variables: train artificial_age_loss mean: 0.281242 2021-06-10 17:14:18.675: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:14:18.675: INFO @log_variables: train gender_confidence/accuracy mean: 0.348141 2021-06-10 17:14:18.675: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:14:18.675: INFO @log_variables: train age_confidence/accuracy mean: 0.512791 2021-06-10 17:14:18.675: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:14:18.677: INFO @metrics_hook: train age_mae: 12.440 +-0.185 (13799) 2021-06-10 17:14:18.679: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13799) 2021-06-10 17:14:20.708: INFO @decay_lr : LR updated to `0.0001635738` 2021-06-10 17:14:20.709: INFO @log_profile : T train: 17.353313 2021-06-10 17:14:20.709: INFO @log_profile : T read data: 0.400089 2021-06-10 17:14:20.709: INFO @log_profile : T hooks: 2.677707 2021-06-10 17:14:20.709: INFO @main_loop : Epoch 121 done 2021-06-10 17:14:20.709: INFO @main_loop : Training epoch 122 2021-06-10 17:14:38.400: INFO @log_variables: train loss nanmean: 2.159720 2021-06-10 17:14:38.400: INFO @log_variables: train age_loss mean: 1.155120 2021-06-10 17:14:38.400: INFO @log_variables: train gender_loss mean: 0.442596 2021-06-10 17:14:38.400: INFO @log_variables: train age_mae mean: 12.548877 2021-06-10 17:14:38.401: INFO @log_variables: train gender_accuracy mean: 0.791016 2021-06-10 17:14:38.401: INFO @log_variables: train artificial_age_loss mean: 0.278141 2021-06-10 17:14:38.401: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:14:38.401: INFO @log_variables: train gender_confidence/accuracy mean: 0.336878 2021-06-10 17:14:38.401: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:14:38.401: INFO @log_variables: train age_confidence/accuracy mean: 0.508464 2021-06-10 17:14:38.401: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:14:38.404: INFO @metrics_hook: train age_mae: 12.549 +-0.188 (13824) 2021-06-10 17:14:38.407: INFO @metrics_hook: train gender_accuracy: 0.791 +-0.007 (13824) 2021-06-10 17:14:40.307: INFO @decay_lr : LR updated to `0.00016275592` 2021-06-10 17:14:40.308: INFO @log_profile : T train: 16.740872 2021-06-10 17:14:40.308: INFO @log_profile : T read data: 0.254732 2021-06-10 17:14:40.308: INFO @log_profile : T hooks: 2.555250 2021-06-10 17:14:40.308: INFO @main_loop : Epoch 122 done 2021-06-10 17:14:40.308: INFO @main_loop : Training epoch 123 2021-06-10 17:14:57.973: INFO @log_variables: train loss nanmean: 2.130193 2021-06-10 17:14:57.973: INFO @log_variables: train age_loss mean: 1.138018 2021-06-10 17:14:57.973: INFO @log_variables: train gender_loss mean: 0.448636 2021-06-10 17:14:57.973: INFO @log_variables: train age_mae mean: 12.401233 2021-06-10 17:14:57.973: INFO @log_variables: train gender_accuracy mean: 0.791739 2021-06-10 17:14:57.973: INFO @log_variables: train artificial_age_loss mean: 0.280889 2021-06-10 17:14:57.973: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:14:57.973: INFO @log_variables: train gender_confidence/accuracy mean: 0.332899 2021-06-10 17:14:57.973: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:14:57.974: INFO @log_variables: train age_confidence/accuracy mean: 0.509404 2021-06-10 17:14:57.974: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:14:57.976: INFO @metrics_hook: train age_mae: 12.401 +-0.187 (13824) 2021-06-10 17:14:57.978: INFO @metrics_hook: train gender_accuracy: 0.792 +-0.007 (13824) 2021-06-10 17:14:59.995: INFO @decay_lr : LR updated to `0.00016194214` 2021-06-10 17:14:59.996: INFO @log_profile : T train: 16.729232 2021-06-10 17:14:59.997: INFO @log_profile : T read data: 0.256427 2021-06-10 17:14:59.997: INFO @log_profile : T hooks: 2.654759 2021-06-10 17:14:59.997: INFO @main_loop : Epoch 123 done 2021-06-10 17:14:59.997: INFO @main_loop : Training epoch 124 2021-06-10 17:15:17.601: INFO @log_variables: train loss nanmean: 2.147787 2021-06-10 17:15:17.601: INFO @log_variables: train age_loss mean: 1.142402 2021-06-10 17:15:17.602: INFO @log_variables: train gender_loss mean: 0.439774 2021-06-10 17:15:17.602: INFO @log_variables: train age_mae mean: 12.460583 2021-06-10 17:15:17.602: INFO @log_variables: train gender_accuracy mean: 0.790437 2021-06-10 17:15:17.602: INFO @log_variables: train artificial_age_loss mean: 0.280070 2021-06-10 17:15:17.602: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:15:17.602: INFO @log_variables: train gender_confidence/accuracy mean: 0.330512 2021-06-10 17:15:17.602: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:15:17.602: INFO @log_variables: train age_confidence/accuracy mean: 0.514612 2021-06-10 17:15:17.602: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:15:17.604: INFO @metrics_hook: train age_mae: 12.461 +-0.187 (13824) 2021-06-10 17:15:17.606: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-06-10 17:15:19.659: INFO @decay_lr : LR updated to `0.00016113243` 2021-06-10 17:15:19.660: INFO @log_profile : T train: 16.669624 2021-06-10 17:15:19.660: INFO @log_profile : T read data: 0.253502 2021-06-10 17:15:19.660: INFO @log_profile : T hooks: 2.692238 2021-06-10 17:15:19.660: INFO @main_loop : Epoch 124 done 2021-06-10 17:15:19.660: INFO @main_loop : Training epoch 125 2021-06-10 17:15:37.416: INFO @log_variables: train loss nanmean: 2.142569 2021-06-10 17:15:37.416: INFO @log_variables: train age_loss mean: 1.148483 2021-06-10 17:15:37.416: INFO @log_variables: train gender_loss mean: 0.442709 2021-06-10 17:15:37.416: INFO @log_variables: train age_mae mean: 12.520317 2021-06-10 17:15:37.416: INFO @log_variables: train gender_accuracy mean: 0.794130 2021-06-10 17:15:37.416: INFO @log_variables: train artificial_age_loss mean: 0.280471 2021-06-10 17:15:37.416: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:15:37.416: INFO @log_variables: train gender_confidence/accuracy mean: 0.336667 2021-06-10 17:15:37.417: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:15:37.417: INFO @log_variables: train age_confidence/accuracy mean: 0.517174 2021-06-10 17:15:37.417: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:15:37.419: INFO @metrics_hook: train age_mae: 12.520 +-0.187 (13800) 2021-06-10 17:15:37.421: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13800) 2021-06-10 17:15:39.439: INFO @decay_lr : LR updated to `0.00016032676` 2021-06-10 17:15:39.441: INFO @log_profile : T train: 16.650707 2021-06-10 17:15:39.441: INFO @log_profile : T read data: 0.428501 2021-06-10 17:15:39.441: INFO @log_profile : T hooks: 2.653394 2021-06-10 17:15:39.441: INFO @main_loop : Epoch 125 done 2021-06-10 17:15:39.441: INFO @main_loop : Training epoch 126 2021-06-10 17:15:57.103: INFO @log_variables: train loss nanmean: 2.134921 2021-06-10 17:15:57.103: INFO @log_variables: train age_loss mean: 1.145026 2021-06-10 17:15:57.103: INFO @log_variables: train gender_loss mean: 0.446701 2021-06-10 17:15:57.104: INFO @log_variables: train age_mae mean: 12.450400 2021-06-10 17:15:57.104: INFO @log_variables: train gender_accuracy mean: 0.789858 2021-06-10 17:15:57.104: INFO @log_variables: train artificial_age_loss mean: 0.281184 2021-06-10 17:15:57.104: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:15:57.104: INFO @log_variables: train gender_confidence/accuracy mean: 0.335793 2021-06-10 17:15:57.104: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:15:57.104: INFO @log_variables: train age_confidence/accuracy mean: 0.512297 2021-06-10 17:15:57.104: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:15:57.106: INFO @metrics_hook: train age_mae: 12.450 +-0.185 (13824) 2021-06-10 17:15:57.108: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-06-10 17:15:59.117: INFO @decay_lr : LR updated to `0.00015952512` 2021-06-10 17:15:59.119: INFO @log_profile : T train: 16.729802 2021-06-10 17:15:59.119: INFO @log_profile : T read data: 0.258283 2021-06-10 17:15:59.119: INFO @log_profile : T hooks: 2.642611 2021-06-10 17:15:59.119: INFO @main_loop : Epoch 126 done 2021-06-10 17:15:59.119: INFO @main_loop : Training epoch 127 2021-06-10 17:16:16.778: INFO @log_variables: train loss nanmean: 2.144306 2021-06-10 17:16:16.779: INFO @log_variables: train age_loss mean: 1.152115 2021-06-10 17:16:16.779: INFO @log_variables: train gender_loss mean: 0.450956 2021-06-10 17:16:16.779: INFO @log_variables: train age_mae mean: 12.546131 2021-06-10 17:16:16.779: INFO @log_variables: train gender_accuracy mean: 0.785446 2021-06-10 17:16:16.779: INFO @log_variables: train artificial_age_loss mean: 0.282110 2021-06-10 17:16:16.779: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:16:16.779: INFO @log_variables: train gender_confidence/accuracy mean: 0.336806 2021-06-10 17:16:16.779: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:16:16.779: INFO @log_variables: train age_confidence/accuracy mean: 0.501230 2021-06-10 17:16:16.780: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:16:16.782: INFO @metrics_hook: train age_mae: 12.546 +-0.187 (13824) 2021-06-10 17:16:16.784: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13824) 2021-06-10 17:16:18.770: INFO @decay_lr : LR updated to `0.0001587275` 2021-06-10 17:16:18.771: INFO @log_profile : T train: 16.712668 2021-06-10 17:16:18.771: INFO @log_profile : T read data: 0.262808 2021-06-10 17:16:18.771: INFO @log_profile : T hooks: 2.629350 2021-06-10 17:16:18.771: INFO @main_loop : Epoch 127 done 2021-06-10 17:16:18.771: INFO @main_loop : Training epoch 128 2021-06-10 17:16:36.385: INFO @log_variables: train loss nanmean: 2.118002 2021-06-10 17:16:36.385: INFO @log_variables: train age_loss mean: 1.142067 2021-06-10 17:16:36.385: INFO @log_variables: train gender_loss mean: 0.442592 2021-06-10 17:16:36.385: INFO @log_variables: train age_mae mean: 12.446858 2021-06-10 17:16:36.385: INFO @log_variables: train gender_accuracy mean: 0.790003 2021-06-10 17:16:36.385: INFO @log_variables: train artificial_age_loss mean: 0.278389 2021-06-10 17:16:36.385: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:16:36.385: INFO @log_variables: train gender_confidence/accuracy mean: 0.336878 2021-06-10 17:16:36.385: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:16:36.385: INFO @log_variables: train age_confidence/accuracy mean: 0.509983 2021-06-10 17:16:36.385: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:16:36.388: INFO @metrics_hook: train age_mae: 12.447 +-0.185 (13824) 2021-06-10 17:16:36.390: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-06-10 17:16:38.407: INFO @decay_lr : LR updated to `0.00015793387` 2021-06-10 17:16:38.409: INFO @log_profile : T train: 16.677645 2021-06-10 17:16:38.409: INFO @log_profile : T read data: 0.250031 2021-06-10 17:16:38.409: INFO @log_profile : T hooks: 2.660853 2021-06-10 17:16:38.409: INFO @main_loop : Epoch 128 done 2021-06-10 17:16:38.409: INFO @main_loop : Training epoch 129 2021-06-10 17:16:56.232: INFO @log_variables: train loss nanmean: 2.143317 2021-06-10 17:16:56.232: INFO @log_variables: train age_loss mean: 1.139708 2021-06-10 17:16:56.233: INFO @log_variables: train gender_loss mean: 0.442414 2021-06-10 17:16:56.233: INFO @log_variables: train age_mae mean: 12.421421 2021-06-10 17:16:56.233: INFO @log_variables: train gender_accuracy mean: 0.795420 2021-06-10 17:16:56.233: INFO @log_variables: train artificial_age_loss mean: 0.278513 2021-06-10 17:16:56.233: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:16:56.233: INFO @log_variables: train gender_confidence/accuracy mean: 0.335387 2021-06-10 17:16:56.233: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:16:56.233: INFO @log_variables: train age_confidence/accuracy mean: 0.505834 2021-06-10 17:16:56.233: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:16:56.235: INFO @metrics_hook: train age_mae: 12.421 +-0.186 (13799) 2021-06-10 17:16:56.237: INFO @metrics_hook: train gender_accuracy: 0.795 +-0.007 (13799) 2021-06-10 17:16:58.146: INFO @decay_lr : LR updated to `0.0001571442` 2021-06-10 17:16:58.147: INFO @log_profile : T train: 16.733075 2021-06-10 17:16:58.147: INFO @log_profile : T read data: 0.401842 2021-06-10 17:16:58.147: INFO @log_profile : T hooks: 2.555797 2021-06-10 17:16:58.147: INFO @main_loop : Epoch 129 done 2021-06-10 17:16:58.147: INFO @main_loop : Training epoch 130 2021-06-10 17:17:16.465: INFO @log_variables: train loss nanmean: 2.169239 2021-06-10 17:17:16.465: INFO @log_variables: train age_loss mean: 1.155026 2021-06-10 17:17:16.465: INFO @log_variables: train gender_loss mean: 0.440624 2021-06-10 17:17:16.465: INFO @log_variables: train age_mae mean: 12.563063 2021-06-10 17:17:16.465: INFO @log_variables: train gender_accuracy mean: 0.792752 2021-06-10 17:17:16.465: INFO @log_variables: train artificial_age_loss mean: 0.280041 2021-06-10 17:17:16.465: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:17:16.465: INFO @log_variables: train gender_confidence/accuracy mean: 0.338614 2021-06-10 17:17:16.465: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:17:16.465: INFO @log_variables: train age_confidence/accuracy mean: 0.505353 2021-06-10 17:17:16.465: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:17:16.467: INFO @metrics_hook: train age_mae: 12.563 +-0.187 (13824) 2021-06-10 17:17:16.469: INFO @metrics_hook: train gender_accuracy: 0.793 +-0.007 (13824) 2021-06-10 17:17:18.448: INFO @decay_lr : LR updated to `0.00015635848` 2021-06-10 17:17:18.450: INFO @log_profile : T train: 17.354384 2021-06-10 17:17:18.450: INFO @log_profile : T read data: 0.264386 2021-06-10 17:17:18.450: INFO @log_profile : T hooks: 2.635491 2021-06-10 17:17:18.450: INFO @main_loop : Epoch 130 done 2021-06-10 17:17:18.450: INFO @main_loop : Training epoch 131 2021-06-10 17:17:36.818: INFO @log_variables: train loss nanmean: 2.112773 2021-06-10 17:17:36.819: INFO @log_variables: train age_loss mean: 1.131684 2021-06-10 17:17:36.819: INFO @log_variables: train gender_loss mean: 0.436804 2021-06-10 17:17:36.819: INFO @log_variables: train age_mae mean: 12.330401 2021-06-10 17:17:36.819: INFO @log_variables: train gender_accuracy mean: 0.796296 2021-06-10 17:17:36.819: INFO @log_variables: train artificial_age_loss mean: 0.278319 2021-06-10 17:17:36.819: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:17:36.819: INFO @log_variables: train gender_confidence/accuracy mean: 0.331959 2021-06-10 17:17:36.819: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:17:36.819: INFO @log_variables: train age_confidence/accuracy mean: 0.505136 2021-06-10 17:17:36.820: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:17:36.821: INFO @metrics_hook: train age_mae: 12.330 +-0.183 (13824) 2021-06-10 17:17:36.823: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13824) 2021-06-10 17:17:38.772: INFO @decay_lr : LR updated to `0.0001555767` 2021-06-10 17:17:38.773: INFO @log_profile : T train: 17.427305 2021-06-10 17:17:38.773: INFO @log_profile : T read data: 0.250603 2021-06-10 17:17:38.773: INFO @log_profile : T hooks: 2.597380 2021-06-10 17:17:38.773: INFO @main_loop : Epoch 131 done 2021-06-10 17:17:38.773: INFO @main_loop : Training epoch 132 2021-06-10 17:17:57.270: INFO @log_variables: train loss nanmean: 2.116792 2021-06-10 17:17:57.270: INFO @log_variables: train age_loss mean: 1.133192 2021-06-10 17:17:57.271: INFO @log_variables: train gender_loss mean: 0.440354 2021-06-10 17:17:57.271: INFO @log_variables: train age_mae mean: 12.346831 2021-06-10 17:17:57.271: INFO @log_variables: train gender_accuracy mean: 0.794850 2021-06-10 17:17:57.271: INFO @log_variables: train artificial_age_loss mean: 0.277656 2021-06-10 17:17:57.271: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:17:57.271: INFO @log_variables: train gender_confidence/accuracy mean: 0.327040 2021-06-10 17:17:57.271: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:17:57.271: INFO @log_variables: train age_confidence/accuracy mean: 0.505425 2021-06-10 17:17:57.271: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:17:57.273: INFO @metrics_hook: train age_mae: 12.347 +-0.186 (13824) 2021-06-10 17:17:57.275: INFO @metrics_hook: train gender_accuracy: 0.795 +-0.007 (13824) 2021-06-10 17:18:00.905: INFO @decay_lr : LR updated to `0.0001547988` 2021-06-10 17:18:00.906: INFO @log_profile : T train: 17.539633 2021-06-10 17:18:00.906: INFO @log_profile : T read data: 0.250482 2021-06-10 17:18:00.906: INFO @log_profile : T hooks: 4.294042 2021-06-10 17:18:00.906: INFO @main_loop : Epoch 132 done 2021-06-10 17:18:00.906: INFO @main_loop : Training epoch 133 2021-06-10 17:18:19.196: INFO @log_variables: train loss nanmean: 2.131672 2021-06-10 17:18:19.196: INFO @log_variables: train age_loss mean: 1.148881 2021-06-10 17:18:19.196: INFO @log_variables: train gender_loss mean: 0.443881 2021-06-10 17:18:19.196: INFO @log_variables: train age_mae mean: 12.480243 2021-06-10 17:18:19.196: INFO @log_variables: train gender_accuracy mean: 0.791087 2021-06-10 17:18:19.196: INFO @log_variables: train artificial_age_loss mean: 0.278087 2021-06-10 17:18:19.196: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:18:19.196: INFO @log_variables: train gender_confidence/accuracy mean: 0.328841 2021-06-10 17:18:19.196: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:18:19.196: INFO @log_variables: train age_confidence/accuracy mean: 0.503406 2021-06-10 17:18:19.197: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:18:19.198: INFO @metrics_hook: train age_mae: 12.480 +-0.190 (13800) 2021-06-10 17:18:19.200: INFO @metrics_hook: train gender_accuracy: 0.791 +-0.007 (13800) 2021-06-10 17:18:21.193: INFO @decay_lr : LR updated to `0.00015402482` 2021-06-10 17:18:21.194: INFO @log_profile : T train: 17.201346 2021-06-10 17:18:21.194: INFO @log_profile : T read data: 0.411744 2021-06-10 17:18:21.195: INFO @log_profile : T hooks: 2.627713 2021-06-10 17:18:21.195: INFO @main_loop : Epoch 133 done 2021-06-10 17:18:21.195: INFO @main_loop : Training epoch 134 2021-06-10 17:18:39.549: INFO @log_variables: train loss nanmean: 2.126317 2021-06-10 17:18:39.549: INFO @log_variables: train age_loss mean: 1.144839 2021-06-10 17:18:39.549: INFO @log_variables: train gender_loss mean: 0.440868 2021-06-10 17:18:39.549: INFO @log_variables: train age_mae mean: 12.468580 2021-06-10 17:18:39.549: INFO @log_variables: train gender_accuracy mean: 0.790148 2021-06-10 17:18:39.550: INFO @log_variables: train artificial_age_loss mean: 0.278903 2021-06-10 17:18:39.550: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:18:39.550: INFO @log_variables: train gender_confidence/accuracy mean: 0.325159 2021-06-10 17:18:39.550: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:18:39.550: INFO @log_variables: train age_confidence/accuracy mean: 0.503328 2021-06-10 17:18:39.550: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:18:39.552: INFO @metrics_hook: train age_mae: 12.469 +-0.188 (13824) 2021-06-10 17:18:39.554: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-06-10 17:18:41.497: INFO @decay_lr : LR updated to `0.00015325469` 2021-06-10 17:18:41.498: INFO @log_profile : T train: 17.413457 2021-06-10 17:18:41.498: INFO @log_profile : T read data: 0.256100 2021-06-10 17:18:41.498: INFO @log_profile : T hooks: 2.586182 2021-06-10 17:18:41.498: INFO @main_loop : Epoch 134 done 2021-06-10 17:18:41.498: INFO @main_loop : Training epoch 135 2021-06-10 17:18:59.892: INFO @log_variables: train loss nanmean: 2.089807 2021-06-10 17:18:59.892: INFO @log_variables: train age_loss mean: 1.134994 2021-06-10 17:18:59.893: INFO @log_variables: train gender_loss mean: 0.436388 2021-06-10 17:18:59.893: INFO @log_variables: train age_mae mean: 12.362191 2021-06-10 17:18:59.893: INFO @log_variables: train gender_accuracy mean: 0.794054 2021-06-10 17:18:59.893: INFO @log_variables: train artificial_age_loss mean: 0.275612 2021-06-10 17:18:59.893: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:18:59.893: INFO @log_variables: train gender_confidence/accuracy mean: 0.325087 2021-06-10 17:18:59.893: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:18:59.893: INFO @log_variables: train age_confidence/accuracy mean: 0.506872 2021-06-10 17:18:59.893: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:18:59.895: INFO @metrics_hook: train age_mae: 12.362 +-0.189 (13824) 2021-06-10 17:18:59.897: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13824) 2021-06-10 17:19:01.860: INFO @decay_lr : LR updated to `0.00015248841` 2021-06-10 17:19:01.861: INFO @log_profile : T train: 17.361278 2021-06-10 17:19:01.861: INFO @log_profile : T read data: 0.269151 2021-06-10 17:19:01.861: INFO @log_profile : T hooks: 2.684103 2021-06-10 17:19:01.861: INFO @main_loop : Epoch 135 done 2021-06-10 17:19:01.861: INFO @main_loop : Training epoch 136 2021-06-10 17:19:20.476: INFO @log_variables: train loss nanmean: 2.094393 2021-06-10 17:19:20.476: INFO @log_variables: train age_loss mean: 1.143693 2021-06-10 17:19:20.477: INFO @log_variables: train gender_loss mean: 0.437111 2021-06-10 17:19:20.477: INFO @log_variables: train age_mae mean: 12.456715 2021-06-10 17:19:20.477: INFO @log_variables: train gender_accuracy mean: 0.796803 2021-06-10 17:19:20.477: INFO @log_variables: train artificial_age_loss mean: 0.277082 2021-06-10 17:19:20.477: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:19:20.477: INFO @log_variables: train gender_confidence/accuracy mean: 0.315972 2021-06-10 17:19:20.477: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:19:20.477: INFO @log_variables: train age_confidence/accuracy mean: 0.515119 2021-06-10 17:19:20.477: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:19:20.479: INFO @metrics_hook: train age_mae: 12.457 +-0.187 (13824) 2021-06-10 17:19:20.482: INFO @metrics_hook: train gender_accuracy: 0.797 +-0.007 (13824) 2021-06-10 17:19:22.494: INFO @decay_lr : LR updated to `0.00015172597` 2021-06-10 17:19:22.496: INFO @log_profile : T train: 17.634864 2021-06-10 17:19:22.496: INFO @log_profile : T read data: 0.265899 2021-06-10 17:19:22.496: INFO @log_profile : T hooks: 2.685729 2021-06-10 17:19:22.496: INFO @main_loop : Epoch 136 done 2021-06-10 17:19:22.496: INFO @main_loop : Training epoch 137 2021-06-10 17:19:40.960: INFO @log_variables: train loss nanmean: 2.114887 2021-06-10 17:19:40.960: INFO @log_variables: train age_loss mean: 1.120410 2021-06-10 17:19:40.960: INFO @log_variables: train gender_loss mean: 0.431953 2021-06-10 17:19:40.960: INFO @log_variables: train age_mae mean: 12.229179 2021-06-10 17:19:40.960: INFO @log_variables: train gender_accuracy mean: 0.795507 2021-06-10 17:19:40.961: INFO @log_variables: train artificial_age_loss mean: 0.277522 2021-06-10 17:19:40.961: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:19:40.961: INFO @log_variables: train gender_confidence/accuracy mean: 0.320435 2021-06-10 17:19:40.961: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:19:40.961: INFO @log_variables: train age_confidence/accuracy mean: 0.509275 2021-06-10 17:19:40.961: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:19:40.963: INFO @metrics_hook: train age_mae: 12.229 +-0.185 (13800) 2021-06-10 17:19:40.965: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13800) 2021-06-10 17:19:42.970: INFO @decay_lr : LR updated to `0.00015096733` 2021-06-10 17:19:42.971: INFO @log_profile : T train: 17.362315 2021-06-10 17:19:42.971: INFO @log_profile : T read data: 0.410253 2021-06-10 17:19:42.971: INFO @log_profile : T hooks: 2.654235 2021-06-10 17:19:42.971: INFO @main_loop : Epoch 137 done 2021-06-10 17:19:42.971: INFO @main_loop : Training epoch 138 2021-06-10 17:20:01.379: INFO @log_variables: train loss nanmean: 2.101886 2021-06-10 17:20:01.380: INFO @log_variables: train age_loss mean: 1.123676 2021-06-10 17:20:01.380: INFO @log_variables: train gender_loss mean: 0.433731 2021-06-10 17:20:01.380: INFO @log_variables: train age_mae mean: 12.263776 2021-06-10 17:20:01.380: INFO @log_variables: train gender_accuracy mean: 0.797526 2021-06-10 17:20:01.380: INFO @log_variables: train artificial_age_loss mean: 0.276559 2021-06-10 17:20:01.380: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:20:01.380: INFO @log_variables: train gender_confidence/accuracy mean: 0.319372 2021-06-10 17:20:01.380: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:20:01.380: INFO @log_variables: train age_confidence/accuracy mean: 0.501013 2021-06-10 17:20:01.380: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:20:01.381: INFO @metrics_hook: train age_mae: 12.264 +-0.184 (13824) 2021-06-10 17:20:01.382: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13824) 2021-06-10 17:20:03.348: INFO @decay_lr : LR updated to `0.0001502125` 2021-06-10 17:20:03.349: INFO @log_profile : T train: 17.479100 2021-06-10 17:20:03.349: INFO @log_profile : T read data: 0.253655 2021-06-10 17:20:03.349: INFO @log_profile : T hooks: 2.597558 2021-06-10 17:20:03.349: INFO @main_loop : Epoch 138 done 2021-06-10 17:20:03.350: INFO @main_loop : Training epoch 139 2021-06-10 17:20:21.855: INFO @log_variables: train loss nanmean: 2.075640 2021-06-10 17:20:21.855: INFO @log_variables: train age_loss mean: 1.127046 2021-06-10 17:20:21.855: INFO @log_variables: train gender_loss mean: 0.438193 2021-06-10 17:20:21.855: INFO @log_variables: train age_mae mean: 12.290485 2021-06-10 17:20:21.856: INFO @log_variables: train gender_accuracy mean: 0.797020 2021-06-10 17:20:21.856: INFO @log_variables: train artificial_age_loss mean: 0.278778 2021-06-10 17:20:21.856: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:20:21.856: INFO @log_variables: train gender_confidence/accuracy mean: 0.321904 2021-06-10 17:20:21.856: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:20:21.856: INFO @log_variables: train age_confidence/accuracy mean: 0.505425 2021-06-10 17:20:21.856: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:20:21.859: INFO @metrics_hook: train age_mae: 12.290 +-0.185 (13824) 2021-06-10 17:20:21.861: INFO @metrics_hook: train gender_accuracy: 0.797 +-0.007 (13824) 2021-06-10 17:20:24.125: INFO @decay_lr : LR updated to `0.00014946143` 2021-06-10 17:20:24.126: INFO @log_profile : T train: 17.548268 2021-06-10 17:20:24.126: INFO @log_profile : T read data: 0.254801 2021-06-10 17:20:24.126: INFO @log_profile : T hooks: 2.923764 2021-06-10 17:20:24.126: INFO @main_loop : Epoch 139 done 2021-06-10 17:20:24.126: INFO @main_loop : Training epoch 140 2021-06-10 17:20:42.439: INFO @log_variables: train loss nanmean: 2.095828 2021-06-10 17:20:42.440: INFO @log_variables: train age_loss mean: 1.125437 2021-06-10 17:20:42.440: INFO @log_variables: train gender_loss mean: 0.436370 2021-06-10 17:20:42.440: INFO @log_variables: train age_mae mean: 12.285805 2021-06-10 17:20:42.440: INFO @log_variables: train gender_accuracy mean: 0.795067 2021-06-10 17:20:42.440: INFO @log_variables: train artificial_age_loss mean: 0.277887 2021-06-10 17:20:42.440: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:20:42.441: INFO @log_variables: train gender_confidence/accuracy mean: 0.330367 2021-06-10 17:20:42.441: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:20:42.441: INFO @log_variables: train age_confidence/accuracy mean: 0.509621 2021-06-10 17:20:42.441: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:20:42.443: INFO @metrics_hook: train age_mae: 12.286 +-0.188 (13824) 2021-06-10 17:20:42.446: INFO @metrics_hook: train gender_accuracy: 0.795 +-0.007 (13824) 2021-06-10 17:20:44.463: INFO @decay_lr : LR updated to `0.00014871411` 2021-06-10 17:20:44.465: INFO @log_profile : T train: 17.378069 2021-06-10 17:20:44.465: INFO @log_profile : T read data: 0.255466 2021-06-10 17:20:44.465: INFO @log_profile : T hooks: 2.656466 2021-06-10 17:20:44.465: INFO @main_loop : Epoch 140 done 2021-06-10 17:20:44.465: INFO @main_loop : Training epoch 141 2021-06-10 17:21:02.956: INFO @log_variables: train loss nanmean: 2.075018 2021-06-10 17:21:02.957: INFO @log_variables: train age_loss mean: 1.117726 2021-06-10 17:21:02.957: INFO @log_variables: train gender_loss mean: 0.430759 2021-06-10 17:21:02.957: INFO @log_variables: train age_mae mean: 12.204293 2021-06-10 17:21:02.957: INFO @log_variables: train gender_accuracy mean: 0.802246 2021-06-10 17:21:02.957: INFO @log_variables: train artificial_age_loss mean: 0.279226 2021-06-10 17:21:02.957: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:21:02.957: INFO @log_variables: train gender_confidence/accuracy mean: 0.325725 2021-06-10 17:21:02.957: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:21:02.957: INFO @log_variables: train age_confidence/accuracy mean: 0.510797 2021-06-10 17:21:02.957: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:21:02.960: INFO @metrics_hook: train age_mae: 12.204 +-0.183 (13800) 2021-06-10 17:21:02.962: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13800) 2021-06-10 17:21:04.956: INFO @decay_lr : LR updated to `0.00014797054` 2021-06-10 17:21:04.957: INFO @log_profile : T train: 17.398720 2021-06-10 17:21:04.957: INFO @log_profile : T read data: 0.390907 2021-06-10 17:21:04.957: INFO @log_profile : T hooks: 2.654202 2021-06-10 17:21:04.957: INFO @main_loop : Epoch 141 done 2021-06-10 17:21:04.957: INFO @main_loop : Training epoch 142 2021-06-10 17:21:23.412: INFO @log_variables: train loss nanmean: 2.068547 2021-06-10 17:21:23.413: INFO @log_variables: train age_loss mean: 1.111804 2021-06-10 17:21:23.413: INFO @log_variables: train gender_loss mean: 0.435239 2021-06-10 17:21:23.413: INFO @log_variables: train age_mae mean: 12.145185 2021-06-10 17:21:23.413: INFO @log_variables: train gender_accuracy mean: 0.797671 2021-06-10 17:21:23.413: INFO @log_variables: train artificial_age_loss mean: 0.276235 2021-06-10 17:21:23.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:21:23.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.333044 2021-06-10 17:21:23.413: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:21:23.413: INFO @log_variables: train age_confidence/accuracy mean: 0.515480 2021-06-10 17:21:23.413: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:21:23.415: INFO @metrics_hook: train age_mae: 12.145 +-0.181 (13824) 2021-06-10 17:21:23.417: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13824) 2021-06-10 17:21:25.456: INFO @decay_lr : LR updated to `0.00014723069` 2021-06-10 17:21:25.458: INFO @log_profile : T train: 17.478706 2021-06-10 17:21:25.458: INFO @log_profile : T read data: 0.258962 2021-06-10 17:21:25.458: INFO @log_profile : T hooks: 2.714854 2021-06-10 17:21:25.458: INFO @main_loop : Epoch 142 done 2021-06-10 17:21:25.458: INFO @main_loop : Training epoch 143 2021-06-10 17:21:43.788: INFO @log_variables: train loss nanmean: 2.075096 2021-06-10 17:21:43.789: INFO @log_variables: train age_loss mean: 1.107368 2021-06-10 17:21:43.789: INFO @log_variables: train gender_loss mean: 0.436053 2021-06-10 17:21:43.789: INFO @log_variables: train age_mae mean: 12.116960 2021-06-10 17:21:43.789: INFO @log_variables: train gender_accuracy mean: 0.793909 2021-06-10 17:21:43.789: INFO @log_variables: train artificial_age_loss mean: 0.275366 2021-06-10 17:21:43.789: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:21:43.789: INFO @log_variables: train gender_confidence/accuracy mean: 0.336299 2021-06-10 17:21:43.789: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:21:43.789: INFO @log_variables: train age_confidence/accuracy mean: 0.525029 2021-06-10 17:21:43.789: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:21:43.791: INFO @metrics_hook: train age_mae: 12.117 +-0.184 (13824) 2021-06-10 17:21:43.793: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13824) 2021-06-10 17:21:45.747: INFO @decay_lr : LR updated to `0.00014649454` 2021-06-10 17:21:45.748: INFO @log_profile : T train: 17.402066 2021-06-10 17:21:45.748: INFO @log_profile : T read data: 0.253229 2021-06-10 17:21:45.749: INFO @log_profile : T hooks: 2.587629 2021-06-10 17:21:45.749: INFO @main_loop : Epoch 143 done 2021-06-10 17:21:45.749: INFO @main_loop : Training epoch 144 2021-06-10 17:22:04.021: INFO @log_variables: train loss nanmean: 2.080502 2021-06-10 17:22:04.021: INFO @log_variables: train age_loss mean: 1.110782 2021-06-10 17:22:04.021: INFO @log_variables: train gender_loss mean: 0.429266 2021-06-10 17:22:04.021: INFO @log_variables: train age_mae mean: 12.161538 2021-06-10 17:22:04.021: INFO @log_variables: train gender_accuracy mean: 0.799407 2021-06-10 17:22:04.022: INFO @log_variables: train artificial_age_loss mean: 0.275128 2021-06-10 17:22:04.022: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:22:04.022: INFO @log_variables: train gender_confidence/accuracy mean: 0.331308 2021-06-10 17:22:04.022: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:22:04.022: INFO @log_variables: train age_confidence/accuracy mean: 0.516059 2021-06-10 17:22:04.022: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:22:04.024: INFO @metrics_hook: train age_mae: 12.162 +-0.187 (13824) 2021-06-10 17:22:04.026: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13824) 2021-06-10 17:22:06.068: INFO @decay_lr : LR updated to `0.00014576207` 2021-06-10 17:22:06.069: INFO @log_profile : T train: 17.304159 2021-06-10 17:22:06.069: INFO @log_profile : T read data: 0.258650 2021-06-10 17:22:06.069: INFO @log_profile : T hooks: 2.709636 2021-06-10 17:22:06.069: INFO @main_loop : Epoch 144 done 2021-06-10 17:22:06.069: INFO @main_loop : Training epoch 145 2021-06-10 17:22:24.402: INFO @log_variables: train loss nanmean: 2.071731 2021-06-10 17:22:24.403: INFO @log_variables: train age_loss mean: 1.103573 2021-06-10 17:22:24.403: INFO @log_variables: train gender_loss mean: 0.425185 2021-06-10 17:22:24.403: INFO @log_variables: train age_mae mean: 12.085466 2021-06-10 17:22:24.403: INFO @log_variables: train gender_accuracy mean: 0.803043 2021-06-10 17:22:24.403: INFO @log_variables: train artificial_age_loss mean: 0.274918 2021-06-10 17:22:24.403: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:22:24.403: INFO @log_variables: train gender_confidence/accuracy mean: 0.332899 2021-06-10 17:22:24.403: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:22:24.404: INFO @log_variables: train age_confidence/accuracy mean: 0.513986 2021-06-10 17:22:24.404: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:22:24.405: INFO @metrics_hook: train age_mae: 12.085 +-0.184 (13800) 2021-06-10 17:22:24.407: INFO @metrics_hook: train gender_accuracy: 0.803 +-0.007 (13800) 2021-06-10 17:22:26.360: INFO @decay_lr : LR updated to `0.00014503326` 2021-06-10 17:22:26.383: INFO @log_profile : T train: 17.279051 2021-06-10 17:22:26.383: INFO @log_profile : T read data: 0.394066 2021-06-10 17:22:26.383: INFO @log_profile : T hooks: 2.593933 2021-06-10 17:22:26.383: INFO @main_loop : Epoch 145 done 2021-06-10 17:22:26.384: INFO @main_loop : Training epoch 146 2021-06-10 17:22:44.716: INFO @log_variables: train loss nanmean: 2.062238 2021-06-10 17:22:44.716: INFO @log_variables: train age_loss mean: 1.111160 2021-06-10 17:22:44.717: INFO @log_variables: train gender_loss mean: 0.419200 2021-06-10 17:22:44.717: INFO @log_variables: train age_mae mean: 12.123167 2021-06-10 17:22:44.717: INFO @log_variables: train gender_accuracy mean: 0.806496 2021-06-10 17:22:44.717: INFO @log_variables: train artificial_age_loss mean: 0.277057 2021-06-10 17:22:44.717: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:22:44.717: INFO @log_variables: train gender_confidence/accuracy mean: 0.322772 2021-06-10 17:22:44.717: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:22:44.717: INFO @log_variables: train age_confidence/accuracy mean: 0.500072 2021-06-10 17:22:44.717: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:22:44.719: INFO @metrics_hook: train age_mae: 12.123 +-0.183 (13824) 2021-06-10 17:22:44.721: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-06-10 17:22:46.702: INFO @decay_lr : LR updated to `0.0001443081` 2021-06-10 17:22:46.703: INFO @log_profile : T train: 17.370614 2021-06-10 17:22:46.703: INFO @log_profile : T read data: 0.266454 2021-06-10 17:22:46.703: INFO @log_profile : T hooks: 2.634279 2021-06-10 17:22:46.703: INFO @main_loop : Epoch 146 done 2021-06-10 17:22:46.703: INFO @main_loop : Training epoch 147 2021-06-10 17:23:05.199: INFO @log_variables: train loss nanmean: 2.092025 2021-06-10 17:23:05.199: INFO @log_variables: train age_loss mean: 1.122017 2021-06-10 17:23:05.199: INFO @log_variables: train gender_loss mean: 0.424809 2021-06-10 17:23:05.200: INFO @log_variables: train age_mae mean: 12.239245 2021-06-10 17:23:05.200: INFO @log_variables: train gender_accuracy mean: 0.801505 2021-06-10 17:23:05.200: INFO @log_variables: train artificial_age_loss mean: 0.276606 2021-06-10 17:23:05.200: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:23:05.200: INFO @log_variables: train gender_confidence/accuracy mean: 0.332104 2021-06-10 17:23:05.200: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:23:05.200: INFO @log_variables: train age_confidence/accuracy mean: 0.503762 2021-06-10 17:23:05.200: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:23:05.202: INFO @metrics_hook: train age_mae: 12.239 +-0.186 (13824) 2021-06-10 17:23:05.204: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13824) 2021-06-10 17:23:07.193: INFO @decay_lr : LR updated to `0.00014358656` 2021-06-10 17:23:07.194: INFO @log_profile : T train: 17.525704 2021-06-10 17:23:07.194: INFO @log_profile : T read data: 0.260961 2021-06-10 17:23:07.194: INFO @log_profile : T hooks: 2.655555 2021-06-10 17:23:07.194: INFO @main_loop : Epoch 147 done 2021-06-10 17:23:07.194: INFO @main_loop : Training epoch 148 2021-06-10 17:23:25.412: INFO @log_variables: train loss nanmean: 2.088727 2021-06-10 17:23:25.413: INFO @log_variables: train age_loss mean: 1.117982 2021-06-10 17:23:25.413: INFO @log_variables: train gender_loss mean: 0.429968 2021-06-10 17:23:25.413: INFO @log_variables: train age_mae mean: 12.225362 2021-06-10 17:23:25.413: INFO @log_variables: train gender_accuracy mean: 0.796152 2021-06-10 17:23:25.413: INFO @log_variables: train artificial_age_loss mean: 0.276891 2021-06-10 17:23:25.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:23:25.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.330802 2021-06-10 17:23:25.413: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:23:25.413: INFO @log_variables: train age_confidence/accuracy mean: 0.502532 2021-06-10 17:23:25.413: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:23:25.416: INFO @metrics_hook: train age_mae: 12.225 +-0.185 (13824) 2021-06-10 17:23:25.418: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13824) 2021-06-10 17:23:27.477: INFO @decay_lr : LR updated to `0.00014286862` 2021-06-10 17:23:27.478: INFO @log_profile : T train: 17.278098 2021-06-10 17:23:27.478: INFO @log_profile : T read data: 0.260278 2021-06-10 17:23:27.479: INFO @log_profile : T hooks: 2.696973 2021-06-10 17:23:27.479: INFO @main_loop : Epoch 148 done 2021-06-10 17:23:27.479: INFO @main_loop : Training epoch 149 2021-06-10 17:23:46.091: INFO @log_variables: train loss nanmean: 2.076906 2021-06-10 17:23:46.091: INFO @log_variables: train age_loss mean: 1.096044 2021-06-10 17:23:46.091: INFO @log_variables: train gender_loss mean: 0.425301 2021-06-10 17:23:46.091: INFO @log_variables: train age_mae mean: 12.021908 2021-06-10 17:23:46.091: INFO @log_variables: train gender_accuracy mean: 0.801377 2021-06-10 17:23:46.091: INFO @log_variables: train artificial_age_loss mean: 0.276527 2021-06-10 17:23:46.091: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:23:46.092: INFO @log_variables: train gender_confidence/accuracy mean: 0.328261 2021-06-10 17:23:46.092: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:23:46.092: INFO @log_variables: train age_confidence/accuracy mean: 0.496377 2021-06-10 17:23:46.092: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:23:46.094: INFO @metrics_hook: train age_mae: 12.022 +-0.184 (13800) 2021-06-10 17:23:46.096: INFO @metrics_hook: train gender_accuracy: 0.801 +-0.007 (13800) 2021-06-10 17:23:47.999: INFO @decay_lr : LR updated to `0.00014215428` 2021-06-10 17:23:48.001: INFO @log_profile : T train: 17.471934 2021-06-10 17:23:48.001: INFO @log_profile : T read data: 0.445243 2021-06-10 17:23:48.001: INFO @log_profile : T hooks: 2.556439 2021-06-10 17:23:48.001: INFO @main_loop : Epoch 149 done 2021-06-10 17:23:48.001: INFO @main_loop : Training epoch 150 2021-06-10 17:24:06.366: INFO @log_variables: train loss nanmean: 2.030527 2021-06-10 17:24:06.367: INFO @log_variables: train age_loss mean: 1.102447 2021-06-10 17:24:06.367: INFO @log_variables: train gender_loss mean: 0.428509 2021-06-10 17:24:06.367: INFO @log_variables: train age_mae mean: 12.056196 2021-06-10 17:24:06.367: INFO @log_variables: train gender_accuracy mean: 0.799986 2021-06-10 17:24:06.367: INFO @log_variables: train artificial_age_loss mean: 0.275590 2021-06-10 17:24:06.367: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:24:06.367: INFO @log_variables: train gender_confidence/accuracy mean: 0.320385 2021-06-10 17:24:06.367: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:24:06.367: INFO @log_variables: train age_confidence/accuracy mean: 0.490234 2021-06-10 17:24:06.367: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:24:06.370: INFO @metrics_hook: train age_mae: 12.056 +-0.182 (13824) 2021-06-10 17:24:06.372: INFO @metrics_hook: train gender_accuracy: 0.800 +-0.007 (13824) 2021-06-10 17:24:08.448: INFO @decay_lr : LR updated to `0.00014144351` 2021-06-10 17:24:08.449: INFO @log_profile : T train: 17.410193 2021-06-10 17:24:08.449: INFO @log_profile : T read data: 0.268334 2021-06-10 17:24:08.449: INFO @log_profile : T hooks: 2.722025 2021-06-10 17:24:08.449: INFO @main_loop : Epoch 150 done 2021-06-10 17:24:08.449: INFO @main_loop : Training epoch 151 2021-06-10 17:24:26.787: INFO @log_variables: train loss nanmean: 2.069391 2021-06-10 17:24:26.787: INFO @log_variables: train age_loss mean: 1.111712 2021-06-10 17:24:26.787: INFO @log_variables: train gender_loss mean: 0.428461 2021-06-10 17:24:26.787: INFO @log_variables: train age_mae mean: 12.170042 2021-06-10 17:24:26.787: INFO @log_variables: train gender_accuracy mean: 0.799190 2021-06-10 17:24:26.787: INFO @log_variables: train artificial_age_loss mean: 0.281770 2021-06-10 17:24:26.787: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:24:26.787: INFO @log_variables: train gender_confidence/accuracy mean: 0.324942 2021-06-10 17:24:26.787: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:24:26.787: INFO @log_variables: train age_confidence/accuracy mean: 0.494575 2021-06-10 17:24:26.787: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:24:26.789: INFO @metrics_hook: train age_mae: 12.170 +-0.183 (13824) 2021-06-10 17:24:26.791: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13824) 2021-06-10 17:24:28.749: INFO @decay_lr : LR updated to `0.00014073629` 2021-06-10 17:24:28.750: INFO @log_profile : T train: 17.394234 2021-06-10 17:24:28.750: INFO @log_profile : T read data: 0.260304 2021-06-10 17:24:28.750: INFO @log_profile : T hooks: 2.598589 2021-06-10 17:24:28.750: INFO @main_loop : Epoch 151 done 2021-06-10 17:24:28.750: INFO @main_loop : Training epoch 152 2021-06-10 17:24:47.077: INFO @log_variables: train loss nanmean: 2.051820 2021-06-10 17:24:47.077: INFO @log_variables: train age_loss mean: 1.116341 2021-06-10 17:24:47.077: INFO @log_variables: train gender_loss mean: 0.428830 2021-06-10 17:24:47.078: INFO @log_variables: train age_mae mean: 12.180836 2021-06-10 17:24:47.078: INFO @log_variables: train gender_accuracy mean: 0.797873 2021-06-10 17:24:47.078: INFO @log_variables: train artificial_age_loss mean: 0.277804 2021-06-10 17:24:47.078: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:24:47.078: INFO @log_variables: train gender_confidence/accuracy mean: 0.324242 2021-06-10 17:24:47.078: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:24:47.078: INFO @log_variables: train age_confidence/accuracy mean: 0.492440 2021-06-10 17:24:47.078: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:24:47.080: INFO @metrics_hook: train age_mae: 12.181 +-0.184 (13823) 2021-06-10 17:24:47.082: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13823) 2021-06-10 17:24:49.125: INFO @decay_lr : LR updated to `0.0001400326` 2021-06-10 17:24:49.126: INFO @log_profile : T train: 17.379249 2021-06-10 17:24:49.126: INFO @log_profile : T read data: 0.258961 2021-06-10 17:24:49.126: INFO @log_profile : T hooks: 2.688963 2021-06-10 17:24:49.126: INFO @main_loop : Epoch 152 done 2021-06-10 17:24:49.126: INFO @main_loop : Training epoch 153 2021-06-10 17:25:07.708: INFO @log_variables: train loss nanmean: 2.068512 2021-06-10 17:25:07.708: INFO @log_variables: train age_loss mean: 1.120916 2021-06-10 17:25:07.708: INFO @log_variables: train gender_loss mean: 0.422805 2021-06-10 17:25:07.708: INFO @log_variables: train age_mae mean: 12.253072 2021-06-10 17:25:07.708: INFO @log_variables: train gender_accuracy mean: 0.799783 2021-06-10 17:25:07.708: INFO @log_variables: train artificial_age_loss mean: 0.279152 2021-06-10 17:25:07.709: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:25:07.709: INFO @log_variables: train gender_confidence/accuracy mean: 0.326594 2021-06-10 17:25:07.709: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:25:07.709: INFO @log_variables: train age_confidence/accuracy mean: 0.492899 2021-06-10 17:25:07.709: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:25:07.711: INFO @metrics_hook: train age_mae: 12.253 +-0.185 (13800) 2021-06-10 17:25:07.713: INFO @metrics_hook: train gender_accuracy: 0.800 +-0.007 (13800) 2021-06-10 17:25:09.636: INFO @decay_lr : LR updated to `0.00013933243` 2021-06-10 17:25:09.637: INFO @log_profile : T train: 17.455475 2021-06-10 17:25:09.637: INFO @log_profile : T read data: 0.429786 2021-06-10 17:25:09.637: INFO @log_profile : T hooks: 2.576950 2021-06-10 17:25:09.637: INFO @main_loop : Epoch 153 done 2021-06-10 17:25:09.637: INFO @main_loop : Training epoch 154 2021-06-10 17:25:28.200: INFO @log_variables: train loss nanmean: 2.039661 2021-06-10 17:25:28.200: INFO @log_variables: train age_loss mean: 1.095297 2021-06-10 17:25:28.200: INFO @log_variables: train gender_loss mean: 0.424750 2021-06-10 17:25:28.200: INFO @log_variables: train age_mae mean: 11.999248 2021-06-10 17:25:28.200: INFO @log_variables: train gender_accuracy mean: 0.805049 2021-06-10 17:25:28.200: INFO @log_variables: train artificial_age_loss mean: 0.280898 2021-06-10 17:25:28.200: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:25:28.200: INFO @log_variables: train gender_confidence/accuracy mean: 0.316985 2021-06-10 17:25:28.200: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:25:28.200: INFO @log_variables: train age_confidence/accuracy mean: 0.491970 2021-06-10 17:25:28.200: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:25:28.201: INFO @metrics_hook: train age_mae: 11.999 +-0.180 (13824) 2021-06-10 17:25:28.203: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13824) 2021-06-10 17:25:30.152: INFO @decay_lr : LR updated to `0.00013863578` 2021-06-10 17:25:30.154: INFO @log_profile : T train: 17.585363 2021-06-10 17:25:30.154: INFO @log_profile : T read data: 0.263512 2021-06-10 17:25:30.154: INFO @log_profile : T hooks: 2.618684 2021-06-10 17:25:30.154: INFO @main_loop : Epoch 154 done 2021-06-10 17:25:30.154: INFO @main_loop : Training epoch 155 2021-06-10 17:25:48.435: INFO @log_variables: train loss nanmean: 2.072883 2021-06-10 17:25:48.435: INFO @log_variables: train age_loss mean: 1.109615 2021-06-10 17:25:48.436: INFO @log_variables: train gender_loss mean: 0.418905 2021-06-10 17:25:48.436: INFO @log_variables: train age_mae mean: 12.138832 2021-06-10 17:25:48.436: INFO @log_variables: train gender_accuracy mean: 0.805845 2021-06-10 17:25:48.436: INFO @log_variables: train artificial_age_loss mean: 0.275757 2021-06-10 17:25:48.436: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:25:48.436: INFO @log_variables: train gender_confidence/accuracy mean: 0.318793 2021-06-10 17:25:48.436: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:25:48.436: INFO @log_variables: train age_confidence/accuracy mean: 0.482856 2021-06-10 17:25:48.436: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:25:48.438: INFO @metrics_hook: train age_mae: 12.139 +-0.184 (13824) 2021-06-10 17:25:48.440: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-06-10 17:25:50.412: INFO @decay_lr : LR updated to `0.0001379426` 2021-06-10 17:25:50.414: INFO @log_profile : T train: 17.343371 2021-06-10 17:25:50.414: INFO @log_profile : T read data: 0.263902 2021-06-10 17:25:50.414: INFO @log_profile : T hooks: 2.604357 2021-06-10 17:25:50.414: INFO @main_loop : Epoch 155 done 2021-06-10 17:25:50.414: INFO @main_loop : Training epoch 156 2021-06-10 17:26:08.839: INFO @log_variables: train loss nanmean: 2.071386 2021-06-10 17:26:08.839: INFO @log_variables: train age_loss mean: 1.107895 2021-06-10 17:26:08.839: INFO @log_variables: train gender_loss mean: 0.419668 2021-06-10 17:26:08.839: INFO @log_variables: train age_mae mean: 12.126899 2021-06-10 17:26:08.839: INFO @log_variables: train gender_accuracy mean: 0.806062 2021-06-10 17:26:08.839: INFO @log_variables: train artificial_age_loss mean: 0.277662 2021-06-10 17:26:08.839: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:26:08.839: INFO @log_variables: train gender_confidence/accuracy mean: 0.314670 2021-06-10 17:26:08.839: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:26:08.839: INFO @log_variables: train age_confidence/accuracy mean: 0.484303 2021-06-10 17:26:08.839: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:26:08.841: INFO @metrics_hook: train age_mae: 12.127 +-0.184 (13824) 2021-06-10 17:26:08.843: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-06-10 17:26:10.787: INFO @decay_lr : LR updated to `0.00013725288` 2021-06-10 17:26:10.788: INFO @log_profile : T train: 17.455666 2021-06-10 17:26:10.788: INFO @log_profile : T read data: 0.264211 2021-06-10 17:26:10.788: INFO @log_profile : T hooks: 2.605875 2021-06-10 17:26:10.788: INFO @main_loop : Epoch 156 done 2021-06-10 17:26:10.788: INFO @main_loop : Training epoch 157 2021-06-10 17:26:29.320: INFO @log_variables: train loss nanmean: 2.044515 2021-06-10 17:26:29.321: INFO @log_variables: train age_loss mean: 1.096201 2021-06-10 17:26:29.321: INFO @log_variables: train gender_loss mean: 0.423761 2021-06-10 17:26:29.321: INFO @log_variables: train age_mae mean: 12.012355 2021-06-10 17:26:29.321: INFO @log_variables: train gender_accuracy mean: 0.807160 2021-06-10 17:26:29.321: INFO @log_variables: train artificial_age_loss mean: 0.276496 2021-06-10 17:26:29.321: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:26:29.321: INFO @log_variables: train gender_confidence/accuracy mean: 0.317632 2021-06-10 17:26:29.321: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:26:29.321: INFO @log_variables: train age_confidence/accuracy mean: 0.476484 2021-06-10 17:26:29.321: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:26:29.323: INFO @metrics_hook: train age_mae: 12.012 +-0.181 (13799) 2021-06-10 17:26:29.326: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13799) 2021-06-10 17:26:31.357: INFO @decay_lr : LR updated to `0.00013656661` 2021-06-10 17:26:31.359: INFO @log_profile : T train: 17.447636 2021-06-10 17:26:31.359: INFO @log_profile : T read data: 0.389610 2021-06-10 17:26:31.359: INFO @log_profile : T hooks: 2.684771 2021-06-10 17:26:31.359: INFO @main_loop : Epoch 157 done 2021-06-10 17:26:31.359: INFO @main_loop : Training epoch 158 2021-06-10 17:26:49.563: INFO @log_variables: train loss nanmean: 2.042773 2021-06-10 17:26:49.563: INFO @log_variables: train age_loss mean: 1.099114 2021-06-10 17:26:49.563: INFO @log_variables: train gender_loss mean: 0.412713 2021-06-10 17:26:49.563: INFO @log_variables: train age_mae mean: 12.026806 2021-06-10 17:26:49.563: INFO @log_variables: train gender_accuracy mean: 0.807292 2021-06-10 17:26:49.563: INFO @log_variables: train artificial_age_loss mean: 0.275173 2021-06-10 17:26:49.563: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:26:49.563: INFO @log_variables: train gender_confidence/accuracy mean: 0.324219 2021-06-10 17:26:49.563: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:26:49.563: INFO @log_variables: train age_confidence/accuracy mean: 0.476707 2021-06-10 17:26:49.564: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:26:49.565: INFO @metrics_hook: train age_mae: 12.027 +-0.181 (13824) 2021-06-10 17:26:49.567: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13824) 2021-06-10 17:26:51.460: INFO @decay_lr : LR updated to `0.00013588378` 2021-06-10 17:26:51.461: INFO @log_profile : T train: 17.238476 2021-06-10 17:26:51.461: INFO @log_profile : T read data: 0.261935 2021-06-10 17:26:51.461: INFO @log_profile : T hooks: 2.552236 2021-06-10 17:26:51.461: INFO @main_loop : Epoch 158 done 2021-06-10 17:26:51.461: INFO @main_loop : Training epoch 159 2021-06-10 17:27:09.675: INFO @log_variables: train loss nanmean: 2.054975 2021-06-10 17:27:09.675: INFO @log_variables: train age_loss mean: 1.107588 2021-06-10 17:27:09.675: INFO @log_variables: train gender_loss mean: 0.422826 2021-06-10 17:27:09.676: INFO @log_variables: train age_mae mean: 12.115553 2021-06-10 17:27:09.676: INFO @log_variables: train gender_accuracy mean: 0.801432 2021-06-10 17:27:09.676: INFO @log_variables: train artificial_age_loss mean: 0.275755 2021-06-10 17:27:09.676: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:27:09.676: INFO @log_variables: train gender_confidence/accuracy mean: 0.318432 2021-06-10 17:27:09.676: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:27:09.676: INFO @log_variables: train age_confidence/accuracy mean: 0.482494 2021-06-10 17:27:09.676: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:27:09.678: INFO @metrics_hook: train age_mae: 12.116 +-0.183 (13824) 2021-06-10 17:27:09.680: INFO @metrics_hook: train gender_accuracy: 0.801 +-0.007 (13824) 2021-06-10 17:27:11.711: INFO @decay_lr : LR updated to `0.00013520436` 2021-06-10 17:27:11.712: INFO @log_profile : T train: 17.277486 2021-06-10 17:27:11.712: INFO @log_profile : T read data: 0.264300 2021-06-10 17:27:11.712: INFO @log_profile : T hooks: 2.660887 2021-06-10 17:27:11.712: INFO @main_loop : Epoch 159 done 2021-06-10 17:27:11.712: INFO @main_loop : Training epoch 160 2021-06-10 17:27:30.055: INFO @log_variables: train loss nanmean: 2.041036 2021-06-10 17:27:30.056: INFO @log_variables: train age_loss mean: 1.102074 2021-06-10 17:27:30.056: INFO @log_variables: train gender_loss mean: 0.405789 2021-06-10 17:27:30.056: INFO @log_variables: train age_mae mean: 12.053896 2021-06-10 17:27:30.056: INFO @log_variables: train gender_accuracy mean: 0.812776 2021-06-10 17:27:30.056: INFO @log_variables: train artificial_age_loss mean: 0.274928 2021-06-10 17:27:30.056: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:27:30.056: INFO @log_variables: train gender_confidence/accuracy mean: 0.319757 2021-06-10 17:27:30.056: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:27:30.056: INFO @log_variables: train age_confidence/accuracy mean: 0.483904 2021-06-10 17:27:30.056: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:27:30.058: INFO @metrics_hook: train age_mae: 12.054 +-0.183 (13823) 2021-06-10 17:27:30.060: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13823) 2021-06-10 17:27:32.111: INFO @decay_lr : LR updated to `0.00013452834` 2021-06-10 17:27:32.112: INFO @log_profile : T train: 17.380513 2021-06-10 17:27:32.112: INFO @log_profile : T read data: 0.267654 2021-06-10 17:27:32.112: INFO @log_profile : T hooks: 2.703190 2021-06-10 17:27:32.112: INFO @main_loop : Epoch 160 done 2021-06-10 17:27:32.112: INFO @main_loop : Training epoch 161 2021-06-10 17:27:50.529: INFO @log_variables: train loss nanmean: 2.039533 2021-06-10 17:27:50.529: INFO @log_variables: train age_loss mean: 1.091616 2021-06-10 17:27:50.529: INFO @log_variables: train gender_loss mean: 0.419704 2021-06-10 17:27:50.529: INFO @log_variables: train age_mae mean: 11.952613 2021-06-10 17:27:50.529: INFO @log_variables: train gender_accuracy mean: 0.806159 2021-06-10 17:27:50.529: INFO @log_variables: train artificial_age_loss mean: 0.277431 2021-06-10 17:27:50.530: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:27:50.530: INFO @log_variables: train gender_confidence/accuracy mean: 0.322536 2021-06-10 17:27:50.530: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:27:50.530: INFO @log_variables: train age_confidence/accuracy mean: 0.485797 2021-06-10 17:27:50.530: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:27:50.532: INFO @metrics_hook: train age_mae: 11.953 +-0.183 (13800) 2021-06-10 17:27:50.534: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13800) 2021-06-10 17:27:52.598: INFO @decay_lr : LR updated to `0.00013385569` 2021-06-10 17:27:52.599: INFO @log_profile : T train: 17.311380 2021-06-10 17:27:52.599: INFO @log_profile : T read data: 0.426169 2021-06-10 17:27:52.599: INFO @log_profile : T hooks: 2.701374 2021-06-10 17:27:52.599: INFO @main_loop : Epoch 161 done 2021-06-10 17:27:52.599: INFO @main_loop : Training epoch 162 2021-06-10 17:28:11.025: INFO @log_variables: train loss nanmean: 2.017124 2021-06-10 17:28:11.025: INFO @log_variables: train age_loss mean: 1.080554 2021-06-10 17:28:11.025: INFO @log_variables: train gender_loss mean: 0.412934 2021-06-10 17:28:11.025: INFO @log_variables: train age_mae mean: 11.854232 2021-06-10 17:28:11.026: INFO @log_variables: train gender_accuracy mean: 0.807870 2021-06-10 17:28:11.026: INFO @log_variables: train artificial_age_loss mean: 0.275823 2021-06-10 17:28:11.026: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:28:11.026: INFO @log_variables: train gender_confidence/accuracy mean: 0.322917 2021-06-10 17:28:11.026: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:28:11.026: INFO @log_variables: train age_confidence/accuracy mean: 0.492766 2021-06-10 17:28:11.026: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:28:11.028: INFO @metrics_hook: train age_mae: 11.854 +-0.179 (13824) 2021-06-10 17:28:11.030: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13824) 2021-06-10 17:28:12.962: INFO @decay_lr : LR updated to `0.00013318642` 2021-06-10 17:28:12.963: INFO @log_profile : T train: 17.472911 2021-06-10 17:28:12.964: INFO @log_profile : T read data: 0.259888 2021-06-10 17:28:12.964: INFO @log_profile : T hooks: 2.582793 2021-06-10 17:28:12.964: INFO @main_loop : Epoch 162 done 2021-06-10 17:28:12.964: INFO @main_loop : Training epoch 163 2021-06-10 17:28:31.214: INFO @log_variables: train loss nanmean: 2.059197 2021-06-10 17:28:31.215: INFO @log_variables: train age_loss mean: 1.111024 2021-06-10 17:28:31.215: INFO @log_variables: train gender_loss mean: 0.412361 2021-06-10 17:28:31.215: INFO @log_variables: train age_mae mean: 12.139330 2021-06-10 17:28:31.215: INFO @log_variables: train gender_accuracy mean: 0.809606 2021-06-10 17:28:31.215: INFO @log_variables: train artificial_age_loss mean: 0.277238 2021-06-10 17:28:31.215: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:28:31.215: INFO @log_variables: train gender_confidence/accuracy mean: 0.319300 2021-06-10 17:28:31.215: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:28:31.215: INFO @log_variables: train age_confidence/accuracy mean: 0.489945 2021-06-10 17:28:31.215: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:28:31.217: INFO @metrics_hook: train age_mae: 12.139 +-0.184 (13824) 2021-06-10 17:28:31.219: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13824) 2021-06-10 17:28:33.229: INFO @decay_lr : LR updated to `0.00013252048` 2021-06-10 17:28:33.230: INFO @log_profile : T train: 17.301165 2021-06-10 17:28:33.230: INFO @log_profile : T read data: 0.264770 2021-06-10 17:28:33.230: INFO @log_profile : T hooks: 2.651989 2021-06-10 17:28:33.230: INFO @main_loop : Epoch 163 done 2021-06-10 17:28:33.230: INFO @main_loop : Training epoch 164 2021-06-10 17:28:51.488: INFO @log_variables: train loss nanmean: 2.055189 2021-06-10 17:28:51.488: INFO @log_variables: train age_loss mean: 1.090620 2021-06-10 17:28:51.488: INFO @log_variables: train gender_loss mean: 0.419128 2021-06-10 17:28:51.488: INFO @log_variables: train age_mae mean: 11.948106 2021-06-10 17:28:51.488: INFO @log_variables: train gender_accuracy mean: 0.804036 2021-06-10 17:28:51.488: INFO @log_variables: train artificial_age_loss mean: 0.276535 2021-06-10 17:28:51.488: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:28:51.488: INFO @log_variables: train gender_confidence/accuracy mean: 0.322989 2021-06-10 17:28:51.488: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:28:51.489: INFO @log_variables: train age_confidence/accuracy mean: 0.491030 2021-06-10 17:28:51.489: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:28:51.490: INFO @metrics_hook: train age_mae: 11.948 +-0.181 (13824) 2021-06-10 17:28:51.491: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-06-10 17:28:53.405: INFO @decay_lr : LR updated to `0.00013185787` 2021-06-10 17:28:53.406: INFO @log_profile : T train: 17.306607 2021-06-10 17:28:53.406: INFO @log_profile : T read data: 0.266503 2021-06-10 17:28:53.406: INFO @log_profile : T hooks: 2.554459 2021-06-10 17:28:53.406: INFO @main_loop : Epoch 164 done 2021-06-10 17:28:53.406: INFO @main_loop : Training epoch 165 2021-06-10 17:29:11.895: INFO @log_variables: train loss nanmean: 2.034866 2021-06-10 17:29:11.895: INFO @log_variables: train age_loss mean: 1.094373 2021-06-10 17:29:11.895: INFO @log_variables: train gender_loss mean: 0.418410 2021-06-10 17:29:11.896: INFO @log_variables: train age_mae mean: 11.980607 2021-06-10 17:29:11.896: INFO @log_variables: train gender_accuracy mean: 0.802391 2021-06-10 17:29:11.896: INFO @log_variables: train artificial_age_loss mean: 0.276983 2021-06-10 17:29:11.896: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:29:11.896: INFO @log_variables: train gender_confidence/accuracy mean: 0.324638 2021-06-10 17:29:11.896: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:29:11.896: INFO @log_variables: train age_confidence/accuracy mean: 0.487826 2021-06-10 17:29:11.896: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:29:11.898: INFO @metrics_hook: train age_mae: 11.981 +-0.181 (13800) 2021-06-10 17:29:11.900: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13800) 2021-06-10 17:29:15.806: INFO @decay_lr : LR updated to `0.00013119858` 2021-06-10 17:29:15.807: INFO @log_profile : T train: 17.376128 2021-06-10 17:29:15.807: INFO @log_profile : T read data: 0.427053 2021-06-10 17:29:15.807: INFO @log_profile : T hooks: 4.549384 2021-06-10 17:29:15.807: INFO @main_loop : Epoch 165 done 2021-06-10 17:29:15.807: INFO @main_loop : Training epoch 166 2021-06-10 17:29:34.215: INFO @log_variables: train loss nanmean: 1.994721 2021-06-10 17:29:34.215: INFO @log_variables: train age_loss mean: 1.101045 2021-06-10 17:29:34.215: INFO @log_variables: train gender_loss mean: 0.415652 2021-06-10 17:29:34.215: INFO @log_variables: train age_mae mean: 12.044991 2021-06-10 17:29:34.215: INFO @log_variables: train gender_accuracy mean: 0.806351 2021-06-10 17:29:34.215: INFO @log_variables: train artificial_age_loss mean: 0.276476 2021-06-10 17:29:34.215: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:29:34.216: INFO @log_variables: train gender_confidence/accuracy mean: 0.326244 2021-06-10 17:29:34.216: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:29:34.216: INFO @log_variables: train age_confidence/accuracy mean: 0.486979 2021-06-10 17:29:34.216: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:29:34.218: INFO @metrics_hook: train age_mae: 12.045 +-0.182 (13824) 2021-06-10 17:29:34.221: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-06-10 17:29:36.227: INFO @decay_lr : LR updated to `0.0001305426` 2021-06-10 17:29:36.228: INFO @log_profile : T train: 17.451642 2021-06-10 17:29:36.228: INFO @log_profile : T read data: 0.269052 2021-06-10 17:29:36.228: INFO @log_profile : T hooks: 2.651562 2021-06-10 17:29:36.228: INFO @main_loop : Epoch 166 done 2021-06-10 17:29:36.228: INFO @main_loop : Training epoch 167 2021-06-10 17:29:54.551: INFO @log_variables: train loss nanmean: 2.015334 2021-06-10 17:29:54.552: INFO @log_variables: train age_loss mean: 1.080303 2021-06-10 17:29:54.552: INFO @log_variables: train gender_loss mean: 0.419819 2021-06-10 17:29:54.552: INFO @log_variables: train age_mae mean: 11.859730 2021-06-10 17:29:54.552: INFO @log_variables: train gender_accuracy mean: 0.804832 2021-06-10 17:29:54.552: INFO @log_variables: train artificial_age_loss mean: 0.274556 2021-06-10 17:29:54.552: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:29:54.552: INFO @log_variables: train gender_confidence/accuracy mean: 0.321036 2021-06-10 17:29:54.552: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:29:54.552: INFO @log_variables: train age_confidence/accuracy mean: 0.480903 2021-06-10 17:29:54.552: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:29:54.554: INFO @metrics_hook: train age_mae: 11.860 +-0.180 (13824) 2021-06-10 17:29:54.556: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13824) 2021-06-10 17:29:56.507: INFO @decay_lr : LR updated to `0.00012988989` 2021-06-10 17:29:56.508: INFO @log_profile : T train: 17.355122 2021-06-10 17:29:56.509: INFO @log_profile : T read data: 0.269991 2021-06-10 17:29:56.509: INFO @log_profile : T hooks: 2.605672 2021-06-10 17:29:56.509: INFO @main_loop : Epoch 167 done 2021-06-10 17:29:56.509: INFO @main_loop : Training epoch 168 2021-06-10 17:30:14.900: INFO @log_variables: train loss nanmean: 2.007645 2021-06-10 17:30:14.901: INFO @log_variables: train age_loss mean: 1.085383 2021-06-10 17:30:14.901: INFO @log_variables: train gender_loss mean: 0.409147 2021-06-10 17:30:14.901: INFO @log_variables: train age_mae mean: 11.905853 2021-06-10 17:30:14.901: INFO @log_variables: train gender_accuracy mean: 0.810547 2021-06-10 17:30:14.901: INFO @log_variables: train artificial_age_loss mean: 0.273291 2021-06-10 17:30:14.901: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:30:14.901: INFO @log_variables: train gender_confidence/accuracy mean: 0.325448 2021-06-10 17:30:14.901: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:30:14.901: INFO @log_variables: train age_confidence/accuracy mean: 0.485171 2021-06-10 17:30:14.901: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:30:14.903: INFO @metrics_hook: train age_mae: 11.906 +-0.182 (13824) 2021-06-10 17:30:14.905: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13824) 2021-06-10 17:30:16.977: INFO @decay_lr : LR updated to `0.00012924043` 2021-06-10 17:30:16.978: INFO @log_profile : T train: 17.451708 2021-06-10 17:30:16.978: INFO @log_profile : T read data: 0.264616 2021-06-10 17:30:16.978: INFO @log_profile : T hooks: 2.704781 2021-06-10 17:30:16.978: INFO @main_loop : Epoch 168 done 2021-06-10 17:30:16.978: INFO @main_loop : Training epoch 169 2021-06-10 17:30:35.463: INFO @log_variables: train loss nanmean: 1.985002 2021-06-10 17:30:35.463: INFO @log_variables: train age_loss mean: 1.088380 2021-06-10 17:30:35.463: INFO @log_variables: train gender_loss mean: 0.415438 2021-06-10 17:30:35.463: INFO @log_variables: train age_mae mean: 11.952069 2021-06-10 17:30:35.463: INFO @log_variables: train gender_accuracy mean: 0.805000 2021-06-10 17:30:35.463: INFO @log_variables: train artificial_age_loss mean: 0.275319 2021-06-10 17:30:35.463: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:30:35.463: INFO @log_variables: train gender_confidence/accuracy mean: 0.317826 2021-06-10 17:30:35.463: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:30:35.463: INFO @log_variables: train age_confidence/accuracy mean: 0.486159 2021-06-10 17:30:35.463: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:30:35.465: INFO @metrics_hook: train age_mae: 11.952 +-0.182 (13800) 2021-06-10 17:30:35.466: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13800) 2021-06-10 17:30:37.434: INFO @decay_lr : LR updated to `0.00012859423` 2021-06-10 17:30:37.435: INFO @log_profile : T train: 17.407189 2021-06-10 17:30:37.435: INFO @log_profile : T read data: 0.408613 2021-06-10 17:30:37.435: INFO @log_profile : T hooks: 2.593610 2021-06-10 17:30:37.435: INFO @main_loop : Epoch 169 done 2021-06-10 17:30:37.435: INFO @main_loop : Training epoch 170 2021-06-10 17:30:55.765: INFO @log_variables: train loss nanmean: 1.970405 2021-06-10 17:30:55.765: INFO @log_variables: train age_loss mean: 1.071273 2021-06-10 17:30:55.765: INFO @log_variables: train gender_loss mean: 0.412887 2021-06-10 17:30:55.765: INFO @log_variables: train age_mae mean: 11.788259 2021-06-10 17:30:55.766: INFO @log_variables: train gender_accuracy mean: 0.808725 2021-06-10 17:30:55.766: INFO @log_variables: train artificial_age_loss mean: 0.276470 2021-06-10 17:30:55.766: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:30:55.766: INFO @log_variables: train gender_confidence/accuracy mean: 0.314982 2021-06-10 17:30:55.766: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:30:55.766: INFO @log_variables: train age_confidence/accuracy mean: 0.484989 2021-06-10 17:30:55.766: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:30:55.768: INFO @metrics_hook: train age_mae: 11.788 +-0.179 (13823) 2021-06-10 17:30:55.770: INFO @metrics_hook: train gender_accuracy: 0.809 +-0.007 (13823) 2021-06-10 17:30:57.706: INFO @decay_lr : LR updated to `0.00012795125` 2021-06-10 17:30:57.708: INFO @log_profile : T train: 17.386658 2021-06-10 17:30:57.708: INFO @log_profile : T read data: 0.263828 2021-06-10 17:30:57.708: INFO @log_profile : T hooks: 2.574013 2021-06-10 17:30:57.708: INFO @main_loop : Epoch 170 done 2021-06-10 17:30:57.708: INFO @main_loop : Training epoch 171 2021-06-10 17:31:16.073: INFO @log_variables: train loss nanmean: 1.992391 2021-06-10 17:31:16.074: INFO @log_variables: train age_loss mean: 1.093828 2021-06-10 17:31:16.074: INFO @log_variables: train gender_loss mean: 0.406151 2021-06-10 17:31:16.074: INFO @log_variables: train age_mae mean: 11.983733 2021-06-10 17:31:16.074: INFO @log_variables: train gender_accuracy mean: 0.815466 2021-06-10 17:31:16.074: INFO @log_variables: train artificial_age_loss mean: 0.272405 2021-06-10 17:31:16.074: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:31:16.074: INFO @log_variables: train gender_confidence/accuracy mean: 0.314019 2021-06-10 17:31:16.074: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:31:16.074: INFO @log_variables: train age_confidence/accuracy mean: 0.478805 2021-06-10 17:31:16.074: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:31:16.076: INFO @metrics_hook: train age_mae: 11.984 +-0.182 (13824) 2021-06-10 17:31:16.077: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13824) 2021-06-10 17:31:17.987: INFO @decay_lr : LR updated to `0.00012731149` 2021-06-10 17:31:17.988: INFO @log_profile : T train: 17.414744 2021-06-10 17:31:17.988: INFO @log_profile : T read data: 0.272231 2021-06-10 17:31:17.988: INFO @log_profile : T hooks: 2.544456 2021-06-10 17:31:17.988: INFO @main_loop : Epoch 171 done 2021-06-10 17:31:17.988: INFO @main_loop : Training epoch 172 2021-06-10 17:31:36.346: INFO @log_variables: train loss nanmean: 1.986453 2021-06-10 17:31:36.346: INFO @log_variables: train age_loss mean: 1.084803 2021-06-10 17:31:36.346: INFO @log_variables: train gender_loss mean: 0.418997 2021-06-10 17:31:36.346: INFO @log_variables: train age_mae mean: 11.902732 2021-06-10 17:31:36.347: INFO @log_variables: train gender_accuracy mean: 0.803154 2021-06-10 17:31:36.347: INFO @log_variables: train artificial_age_loss mean: 0.272650 2021-06-10 17:31:36.347: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:31:36.347: INFO @log_variables: train gender_confidence/accuracy mean: 0.321348 2021-06-10 17:31:36.347: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:31:36.347: INFO @log_variables: train age_confidence/accuracy mean: 0.475512 2021-06-10 17:31:36.347: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:31:36.349: INFO @metrics_hook: train age_mae: 11.903 +-0.182 (13823) 2021-06-10 17:31:36.352: INFO @metrics_hook: train gender_accuracy: 0.803 +-0.007 (13823) 2021-06-10 17:31:38.322: INFO @decay_lr : LR updated to `0.00012667493` 2021-06-10 17:31:38.323: INFO @log_profile : T train: 17.401077 2021-06-10 17:31:38.323: INFO @log_profile : T read data: 0.265353 2021-06-10 17:31:38.323: INFO @log_profile : T hooks: 2.619504 2021-06-10 17:31:38.323: INFO @main_loop : Epoch 172 done 2021-06-10 17:31:38.324: INFO @main_loop : Training epoch 173 2021-06-10 17:31:56.731: INFO @log_variables: train loss nanmean: 2.012226 2021-06-10 17:31:56.731: INFO @log_variables: train age_loss mean: 1.080395 2021-06-10 17:31:56.731: INFO @log_variables: train gender_loss mean: 0.409693 2021-06-10 17:31:56.731: INFO @log_variables: train age_mae mean: 11.863350 2021-06-10 17:31:56.731: INFO @log_variables: train gender_accuracy mean: 0.811812 2021-06-10 17:31:56.731: INFO @log_variables: train artificial_age_loss mean: 0.274747 2021-06-10 17:31:56.731: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:31:56.731: INFO @log_variables: train gender_confidence/accuracy mean: 0.315362 2021-06-10 17:31:56.732: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:31:56.732: INFO @log_variables: train age_confidence/accuracy mean: 0.486667 2021-06-10 17:31:56.732: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:31:56.733: INFO @metrics_hook: train age_mae: 11.863 +-0.181 (13800) 2021-06-10 17:31:56.734: INFO @metrics_hook: train gender_accuracy: 0.812 +-0.007 (13800) 2021-06-10 17:31:58.674: INFO @decay_lr : LR updated to `0.00012604156` 2021-06-10 17:31:58.675: INFO @log_profile : T train: 17.335879 2021-06-10 17:31:58.675: INFO @log_profile : T read data: 0.396996 2021-06-10 17:31:58.675: INFO @log_profile : T hooks: 2.570354 2021-06-10 17:31:58.676: INFO @main_loop : Epoch 173 done 2021-06-10 17:31:58.676: INFO @main_loop : Training epoch 174 2021-06-10 17:32:17.098: INFO @log_variables: train loss nanmean: 1.978690 2021-06-10 17:32:17.099: INFO @log_variables: train age_loss mean: 1.077508 2021-06-10 17:32:17.099: INFO @log_variables: train gender_loss mean: 0.404214 2021-06-10 17:32:17.099: INFO @log_variables: train age_mae mean: 11.858980 2021-06-10 17:32:17.099: INFO @log_variables: train gender_accuracy mean: 0.816479 2021-06-10 17:32:17.099: INFO @log_variables: train artificial_age_loss mean: 0.275261 2021-06-10 17:32:17.099: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:32:17.099: INFO @log_variables: train gender_confidence/accuracy mean: 0.314453 2021-06-10 17:32:17.099: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:32:17.099: INFO @log_variables: train age_confidence/accuracy mean: 0.476707 2021-06-10 17:32:17.099: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:32:17.101: INFO @metrics_hook: train age_mae: 11.859 +-0.180 (13824) 2021-06-10 17:32:17.103: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13824) 2021-06-10 17:32:19.077: INFO @decay_lr : LR updated to `0.00012541134` 2021-06-10 17:32:19.078: INFO @log_profile : T train: 17.469911 2021-06-10 17:32:19.079: INFO @log_profile : T read data: 0.263907 2021-06-10 17:32:19.079: INFO @log_profile : T hooks: 2.620053 2021-06-10 17:32:19.079: INFO @main_loop : Epoch 174 done 2021-06-10 17:32:19.079: INFO @main_loop : Training epoch 175 2021-06-10 17:32:37.391: INFO @log_variables: train loss nanmean: 1.976618 2021-06-10 17:32:37.391: INFO @log_variables: train age_loss mean: 1.077652 2021-06-10 17:32:37.391: INFO @log_variables: train gender_loss mean: 0.409524 2021-06-10 17:32:37.391: INFO @log_variables: train age_mae mean: 11.839374 2021-06-10 17:32:37.391: INFO @log_variables: train gender_accuracy mean: 0.811994 2021-06-10 17:32:37.392: INFO @log_variables: train artificial_age_loss mean: 0.273930 2021-06-10 17:32:37.392: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:32:37.392: INFO @log_variables: train gender_confidence/accuracy mean: 0.315900 2021-06-10 17:32:37.392: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:32:37.392: INFO @log_variables: train age_confidence/accuracy mean: 0.482205 2021-06-10 17:32:37.392: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:32:37.394: INFO @metrics_hook: train age_mae: 11.839 +-0.180 (13824) 2021-06-10 17:32:37.396: INFO @metrics_hook: train gender_accuracy: 0.812 +-0.007 (13824) 2021-06-10 17:32:39.287: INFO @decay_lr : LR updated to `0.00012478429` 2021-06-10 17:32:39.288: INFO @log_profile : T train: 17.367456 2021-06-10 17:32:39.288: INFO @log_profile : T read data: 0.265885 2021-06-10 17:32:39.288: INFO @log_profile : T hooks: 2.527917 2021-06-10 17:32:39.288: INFO @main_loop : Epoch 175 done 2021-06-10 17:32:39.288: INFO @main_loop : Training epoch 176 2021-06-10 17:32:57.690: INFO @log_variables: train loss nanmean: 1.950543 2021-06-10 17:32:57.690: INFO @log_variables: train age_loss mean: 1.083192 2021-06-10 17:32:57.690: INFO @log_variables: train gender_loss mean: 0.403026 2021-06-10 17:32:57.690: INFO @log_variables: train age_mae mean: 11.891766 2021-06-10 17:32:57.691: INFO @log_variables: train gender_accuracy mean: 0.812283 2021-06-10 17:32:57.691: INFO @log_variables: train artificial_age_loss mean: 0.272513 2021-06-10 17:32:57.691: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:32:57.691: INFO @log_variables: train gender_confidence/accuracy mean: 0.316551 2021-06-10 17:32:57.691: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:32:57.691: INFO @log_variables: train age_confidence/accuracy mean: 0.484664 2021-06-10 17:32:57.691: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:32:57.693: INFO @metrics_hook: train age_mae: 11.892 +-0.182 (13824) 2021-06-10 17:32:57.695: INFO @metrics_hook: train gender_accuracy: 0.812 +-0.007 (13824) 2021-06-10 17:32:59.725: INFO @decay_lr : LR updated to `0.00012416036` 2021-06-10 17:32:59.726: INFO @log_profile : T train: 17.446229 2021-06-10 17:32:59.726: INFO @log_profile : T read data: 0.265541 2021-06-10 17:32:59.726: INFO @log_profile : T hooks: 2.677503 2021-06-10 17:32:59.726: INFO @main_loop : Epoch 176 done 2021-06-10 17:32:59.726: INFO @main_loop : Training epoch 177 2021-06-10 17:33:18.045: INFO @log_variables: train loss nanmean: 1.971623 2021-06-10 17:33:18.046: INFO @log_variables: train age_loss mean: 1.075992 2021-06-10 17:33:18.046: INFO @log_variables: train gender_loss mean: 0.407217 2021-06-10 17:33:18.046: INFO @log_variables: train age_mae mean: 11.810660 2021-06-10 17:33:18.046: INFO @log_variables: train gender_accuracy mean: 0.810909 2021-06-10 17:33:18.046: INFO @log_variables: train artificial_age_loss mean: 0.272277 2021-06-10 17:33:18.046: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:33:18.046: INFO @log_variables: train gender_confidence/accuracy mean: 0.319806 2021-06-10 17:33:18.046: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:33:18.046: INFO @log_variables: train age_confidence/accuracy mean: 0.479818 2021-06-10 17:33:18.046: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:33:18.047: INFO @metrics_hook: train age_mae: 11.811 +-0.182 (13824) 2021-06-10 17:33:18.048: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13824) 2021-06-10 17:33:20.013: INFO @decay_lr : LR updated to `0.00012353956` 2021-06-10 17:33:20.015: INFO @log_profile : T train: 17.362185 2021-06-10 17:33:20.015: INFO @log_profile : T read data: 0.274697 2021-06-10 17:33:20.015: INFO @log_profile : T hooks: 2.602251 2021-06-10 17:33:20.015: INFO @main_loop : Epoch 177 done 2021-06-10 17:33:20.015: INFO @main_loop : Training epoch 178 2021-06-10 17:33:38.589: INFO @log_variables: train loss nanmean: 1.978655 2021-06-10 17:33:38.589: INFO @log_variables: train age_loss mean: 1.072596 2021-06-10 17:33:38.589: INFO @log_variables: train gender_loss mean: 0.404018 2021-06-10 17:33:38.589: INFO @log_variables: train age_mae mean: 11.783277 2021-06-10 17:33:38.590: INFO @log_variables: train gender_accuracy mean: 0.815290 2021-06-10 17:33:38.590: INFO @log_variables: train artificial_age_loss mean: 0.275859 2021-06-10 17:33:38.590: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:33:38.590: INFO @log_variables: train gender_confidence/accuracy mean: 0.312899 2021-06-10 17:33:38.590: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:33:38.590: INFO @log_variables: train age_confidence/accuracy mean: 0.493768 2021-06-10 17:33:38.590: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:33:38.591: INFO @metrics_hook: train age_mae: 11.783 +-0.180 (13800) 2021-06-10 17:33:38.592: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13800) 2021-06-10 17:33:40.641: INFO @decay_lr : LR updated to `0.00012292186` 2021-06-10 17:33:40.642: INFO @log_profile : T train: 17.493724 2021-06-10 17:33:40.642: INFO @log_profile : T read data: 0.406302 2021-06-10 17:33:40.643: INFO @log_profile : T hooks: 2.679471 2021-06-10 17:33:40.643: INFO @main_loop : Epoch 178 done 2021-06-10 17:33:40.643: INFO @main_loop : Training epoch 179 2021-06-10 17:33:58.907: INFO @log_variables: train loss nanmean: 1.984996 2021-06-10 17:33:58.907: INFO @log_variables: train age_loss mean: 1.077495 2021-06-10 17:33:58.907: INFO @log_variables: train gender_loss mean: 0.404650 2021-06-10 17:33:58.907: INFO @log_variables: train age_mae mean: 11.853905 2021-06-10 17:33:58.908: INFO @log_variables: train gender_accuracy mean: 0.813874 2021-06-10 17:33:58.908: INFO @log_variables: train artificial_age_loss mean: 0.274366 2021-06-10 17:33:58.908: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:33:58.908: INFO @log_variables: train gender_confidence/accuracy mean: 0.309751 2021-06-10 17:33:58.908: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:33:58.908: INFO @log_variables: train age_confidence/accuracy mean: 0.487124 2021-06-10 17:33:58.908: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:33:58.909: INFO @metrics_hook: train age_mae: 11.854 +-0.182 (13824) 2021-06-10 17:33:58.911: INFO @metrics_hook: train gender_accuracy: 0.814 +-0.007 (13824) 2021-06-10 17:34:00.952: INFO @decay_lr : LR updated to `0.00012230725` 2021-06-10 17:34:00.953: INFO @log_profile : T train: 17.336838 2021-06-10 17:34:00.953: INFO @log_profile : T read data: 0.261697 2021-06-10 17:34:00.953: INFO @log_profile : T hooks: 2.662504 2021-06-10 17:34:00.953: INFO @main_loop : Epoch 179 done 2021-06-10 17:34:00.953: INFO @main_loop : Training epoch 180 2021-06-10 17:34:19.219: INFO @log_variables: train loss nanmean: 1.955302 2021-06-10 17:34:19.219: INFO @log_variables: train age_loss mean: 1.069267 2021-06-10 17:34:19.219: INFO @log_variables: train gender_loss mean: 0.397197 2021-06-10 17:34:19.219: INFO @log_variables: train age_mae mean: 11.778831 2021-06-10 17:34:19.219: INFO @log_variables: train gender_accuracy mean: 0.818649 2021-06-10 17:34:19.219: INFO @log_variables: train artificial_age_loss mean: 0.272920 2021-06-10 17:34:19.219: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:34:19.219: INFO @log_variables: train gender_confidence/accuracy mean: 0.321759 2021-06-10 17:34:19.219: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:34:19.220: INFO @log_variables: train age_confidence/accuracy mean: 0.480396 2021-06-10 17:34:19.220: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:34:19.222: INFO @metrics_hook: train age_mae: 11.779 +-0.181 (13824) 2021-06-10 17:34:19.223: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-06-10 17:34:21.261: INFO @decay_lr : LR updated to `0.00012169571` 2021-06-10 17:34:21.263: INFO @log_profile : T train: 17.341900 2021-06-10 17:34:21.263: INFO @log_profile : T read data: 0.260508 2021-06-10 17:34:21.263: INFO @log_profile : T hooks: 2.660579 2021-06-10 17:34:21.263: INFO @main_loop : Epoch 180 done 2021-06-10 17:34:21.263: INFO @main_loop : Training epoch 181 2021-06-10 17:34:39.609: INFO @log_variables: train loss nanmean: 1.952191 2021-06-10 17:34:39.610: INFO @log_variables: train age_loss mean: 1.069009 2021-06-10 17:34:39.610: INFO @log_variables: train gender_loss mean: 0.405219 2021-06-10 17:34:39.610: INFO @log_variables: train age_mae mean: 11.764192 2021-06-10 17:34:39.610: INFO @log_variables: train gender_accuracy mean: 0.814887 2021-06-10 17:34:39.610: INFO @log_variables: train artificial_age_loss mean: 0.274627 2021-06-10 17:34:39.610: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:34:39.610: INFO @log_variables: train gender_confidence/accuracy mean: 0.324942 2021-06-10 17:34:39.610: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:34:39.610: INFO @log_variables: train age_confidence/accuracy mean: 0.482928 2021-06-10 17:34:39.610: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:34:39.612: INFO @metrics_hook: train age_mae: 11.764 +-0.181 (13824) 2021-06-10 17:34:39.614: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13824) 2021-06-10 17:34:41.561: INFO @decay_lr : LR updated to `0.00012108723` 2021-06-10 17:34:41.563: INFO @log_profile : T train: 17.405814 2021-06-10 17:34:41.563: INFO @log_profile : T read data: 0.264299 2021-06-10 17:34:41.563: INFO @log_profile : T hooks: 2.581496 2021-06-10 17:34:41.563: INFO @main_loop : Epoch 181 done 2021-06-10 17:34:41.563: INFO @main_loop : Training epoch 182 2021-06-10 17:35:00.124: INFO @log_variables: train loss nanmean: 1.994279 2021-06-10 17:35:00.125: INFO @log_variables: train age_loss mean: 1.081119 2021-06-10 17:35:00.125: INFO @log_variables: train gender_loss mean: 0.399060 2021-06-10 17:35:00.125: INFO @log_variables: train age_mae mean: 11.877014 2021-06-10 17:35:00.125: INFO @log_variables: train gender_accuracy mean: 0.817101 2021-06-10 17:35:00.125: INFO @log_variables: train artificial_age_loss mean: 0.275726 2021-06-10 17:35:00.125: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:35:00.125: INFO @log_variables: train gender_confidence/accuracy mean: 0.325870 2021-06-10 17:35:00.125: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:35:00.125: INFO @log_variables: train age_confidence/accuracy mean: 0.480580 2021-06-10 17:35:00.125: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:35:00.127: INFO @metrics_hook: train age_mae: 11.877 +-0.180 (13800) 2021-06-10 17:35:00.129: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13800) 2021-06-10 17:35:02.068: INFO @decay_lr : LR updated to `0.00012048179` 2021-06-10 17:35:02.069: INFO @log_profile : T train: 17.447329 2021-06-10 17:35:02.069: INFO @log_profile : T read data: 0.415000 2021-06-10 17:35:02.069: INFO @log_profile : T hooks: 2.595571 2021-06-10 17:35:02.069: INFO @main_loop : Epoch 182 done 2021-06-10 17:35:02.069: INFO @main_loop : Training epoch 183 2021-06-10 17:35:20.394: INFO @log_variables: train loss nanmean: 1.997845 2021-06-10 17:35:20.394: INFO @log_variables: train age_loss mean: 1.068065 2021-06-10 17:35:20.394: INFO @log_variables: train gender_loss mean: 0.398181 2021-06-10 17:35:20.395: INFO @log_variables: train age_mae mean: 11.735654 2021-06-10 17:35:20.395: INFO @log_variables: train gender_accuracy mean: 0.818491 2021-06-10 17:35:20.395: INFO @log_variables: train artificial_age_loss mean: 0.273683 2021-06-10 17:35:20.395: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:35:20.395: INFO @log_variables: train gender_confidence/accuracy mean: 0.319178 2021-06-10 17:35:20.395: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:35:20.395: INFO @log_variables: train age_confidence/accuracy mean: 0.472546 2021-06-10 17:35:20.395: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:35:20.397: INFO @metrics_hook: train age_mae: 11.736 +-0.179 (13823) 2021-06-10 17:35:20.399: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13823) 2021-06-10 17:35:22.342: INFO @decay_lr : LR updated to `0.00011987938` 2021-06-10 17:35:22.344: INFO @log_profile : T train: 17.365744 2021-06-10 17:35:22.344: INFO @log_profile : T read data: 0.272252 2021-06-10 17:35:22.344: INFO @log_profile : T hooks: 2.587448 2021-06-10 17:35:22.344: INFO @main_loop : Epoch 183 done 2021-06-10 17:35:22.344: INFO @main_loop : Training epoch 184 2021-06-10 17:35:40.636: INFO @log_variables: train loss nanmean: 1.952953 2021-06-10 17:35:40.637: INFO @log_variables: train age_loss mean: 1.062585 2021-06-10 17:35:40.637: INFO @log_variables: train gender_loss mean: 0.396323 2021-06-10 17:35:40.637: INFO @log_variables: train age_mae mean: 11.703102 2021-06-10 17:35:40.637: INFO @log_variables: train gender_accuracy mean: 0.818432 2021-06-10 17:35:40.637: INFO @log_variables: train artificial_age_loss mean: 0.274229 2021-06-10 17:35:40.637: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:35:40.637: INFO @log_variables: train gender_confidence/accuracy mean: 0.322555 2021-06-10 17:35:40.637: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:35:40.637: INFO @log_variables: train age_confidence/accuracy mean: 0.484520 2021-06-10 17:35:40.637: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:35:40.638: INFO @metrics_hook: train age_mae: 11.703 +-0.177 (13824) 2021-06-10 17:35:40.639: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-06-10 17:35:42.652: INFO @decay_lr : LR updated to `0.00011927999` 2021-06-10 17:35:42.653: INFO @log_profile : T train: 17.356773 2021-06-10 17:35:42.653: INFO @log_profile : T read data: 0.265530 2021-06-10 17:35:42.654: INFO @log_profile : T hooks: 2.639197 2021-06-10 17:35:42.654: INFO @main_loop : Epoch 184 done 2021-06-10 17:35:42.654: INFO @main_loop : Training epoch 185 2021-06-10 17:36:01.090: INFO @log_variables: train loss nanmean: 1.991551 2021-06-10 17:36:01.090: INFO @log_variables: train age_loss mean: 1.058553 2021-06-10 17:36:01.090: INFO @log_variables: train gender_loss mean: 0.404844 2021-06-10 17:36:01.091: INFO @log_variables: train age_mae mean: 11.650849 2021-06-10 17:36:01.091: INFO @log_variables: train gender_accuracy mean: 0.816899 2021-06-10 17:36:01.091: INFO @log_variables: train artificial_age_loss mean: 0.275525 2021-06-10 17:36:01.091: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:36:01.091: INFO @log_variables: train gender_confidence/accuracy mean: 0.318816 2021-06-10 17:36:01.091: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:36:01.091: INFO @log_variables: train age_confidence/accuracy mean: 0.487087 2021-06-10 17:36:01.091: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:36:01.093: INFO @metrics_hook: train age_mae: 11.651 +-0.177 (13823) 2021-06-10 17:36:01.095: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13823) 2021-06-10 17:36:03.119: INFO @decay_lr : LR updated to `0.00011868359` 2021-06-10 17:36:03.120: INFO @log_profile : T train: 17.457270 2021-06-10 17:36:03.120: INFO @log_profile : T read data: 0.271182 2021-06-10 17:36:03.120: INFO @log_profile : T hooks: 2.688638 2021-06-10 17:36:03.120: INFO @main_loop : Epoch 185 done 2021-06-10 17:36:03.120: INFO @main_loop : Training epoch 186 2021-06-10 17:36:21.774: INFO @log_variables: train loss nanmean: 1.955619 2021-06-10 17:36:21.774: INFO @log_variables: train age_loss mean: 1.060689 2021-06-10 17:36:21.774: INFO @log_variables: train gender_loss mean: 0.401010 2021-06-10 17:36:21.774: INFO @log_variables: train age_mae mean: 11.668946 2021-06-10 17:36:21.775: INFO @log_variables: train gender_accuracy mean: 0.815072 2021-06-10 17:36:21.775: INFO @log_variables: train artificial_age_loss mean: 0.274238 2021-06-10 17:36:21.775: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:36:21.775: INFO @log_variables: train gender_confidence/accuracy mean: 0.324710 2021-06-10 17:36:21.775: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:36:21.775: INFO @log_variables: train age_confidence/accuracy mean: 0.491232 2021-06-10 17:36:21.775: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:36:21.777: INFO @metrics_hook: train age_mae: 11.669 +-0.178 (13800) 2021-06-10 17:36:21.779: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13800) 2021-06-10 17:36:23.817: INFO @decay_lr : LR updated to `0.00011809017` 2021-06-10 17:36:23.818: INFO @log_profile : T train: 17.495796 2021-06-10 17:36:23.818: INFO @log_profile : T read data: 0.444478 2021-06-10 17:36:23.818: INFO @log_profile : T hooks: 2.708690 2021-06-10 17:36:23.818: INFO @main_loop : Epoch 186 done 2021-06-10 17:36:23.818: INFO @main_loop : Training epoch 187 2021-06-10 17:36:42.182: INFO @log_variables: train loss nanmean: 1.974264 2021-06-10 17:36:42.183: INFO @log_variables: train age_loss mean: 1.068909 2021-06-10 17:36:42.183: INFO @log_variables: train gender_loss mean: 0.411466 2021-06-10 17:36:42.183: INFO @log_variables: train age_mae mean: 11.747685 2021-06-10 17:36:42.183: INFO @log_variables: train gender_accuracy mean: 0.810389 2021-06-10 17:36:42.183: INFO @log_variables: train artificial_age_loss mean: 0.274976 2021-06-10 17:36:42.183: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:36:42.183: INFO @log_variables: train gender_confidence/accuracy mean: 0.321638 2021-06-10 17:36:42.183: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:36:42.183: INFO @log_variables: train age_confidence/accuracy mean: 0.500543 2021-06-10 17:36:42.183: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:36:42.185: INFO @metrics_hook: train age_mae: 11.748 +-0.179 (13823) 2021-06-10 17:36:42.186: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13823) 2021-06-10 17:36:44.210: INFO @decay_lr : LR updated to `0.000117499716` 2021-06-10 17:36:44.211: INFO @log_profile : T train: 17.394855 2021-06-10 17:36:44.211: INFO @log_profile : T read data: 0.275395 2021-06-10 17:36:44.211: INFO @log_profile : T hooks: 2.674422 2021-06-10 17:36:44.211: INFO @main_loop : Epoch 187 done 2021-06-10 17:36:44.211: INFO @main_loop : Training epoch 188 2021-06-10 17:37:02.525: INFO @log_variables: train loss nanmean: 1.970426 2021-06-10 17:37:02.525: INFO @log_variables: train age_loss mean: 1.064403 2021-06-10 17:37:02.525: INFO @log_variables: train gender_loss mean: 0.399923 2021-06-10 17:37:02.526: INFO @log_variables: train age_mae mean: 11.715158 2021-06-10 17:37:02.526: INFO @log_variables: train gender_accuracy mean: 0.818563 2021-06-10 17:37:02.526: INFO @log_variables: train artificial_age_loss mean: 0.275944 2021-06-10 17:37:02.526: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:37:02.526: INFO @log_variables: train gender_confidence/accuracy mean: 0.316284 2021-06-10 17:37:02.526: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:37:02.526: INFO @log_variables: train age_confidence/accuracy mean: 0.487883 2021-06-10 17:37:02.526: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:37:02.529: INFO @metrics_hook: train age_mae: 11.715 +-0.180 (13823) 2021-06-10 17:37:02.531: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13823) 2021-06-10 17:37:04.519: INFO @decay_lr : LR updated to `0.00011691222` 2021-06-10 17:37:04.521: INFO @log_profile : T train: 17.360825 2021-06-10 17:37:04.521: INFO @log_profile : T read data: 0.266183 2021-06-10 17:37:04.521: INFO @log_profile : T hooks: 2.634446 2021-06-10 17:37:04.521: INFO @main_loop : Epoch 188 done 2021-06-10 17:37:04.521: INFO @main_loop : Training epoch 189 2021-06-10 17:37:23.007: INFO @log_variables: train loss nanmean: 1.945295 2021-06-10 17:37:23.007: INFO @log_variables: train age_loss mean: 1.054262 2021-06-10 17:37:23.007: INFO @log_variables: train gender_loss mean: 0.399357 2021-06-10 17:37:23.007: INFO @log_variables: train age_mae mean: 11.630010 2021-06-10 17:37:23.007: INFO @log_variables: train gender_accuracy mean: 0.818070 2021-06-10 17:37:23.007: INFO @log_variables: train artificial_age_loss mean: 0.270513 2021-06-10 17:37:23.007: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:37:23.007: INFO @log_variables: train gender_confidence/accuracy mean: 0.322917 2021-06-10 17:37:23.007: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:37:23.008: INFO @log_variables: train age_confidence/accuracy mean: 0.488354 2021-06-10 17:37:23.008: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:37:23.010: INFO @metrics_hook: train age_mae: 11.630 +-0.178 (13824) 2021-06-10 17:37:23.012: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-06-10 17:37:25.035: INFO @decay_lr : LR updated to `0.00011632766` 2021-06-10 17:37:25.036: INFO @log_profile : T train: 17.512015 2021-06-10 17:37:25.036: INFO @log_profile : T read data: 0.268882 2021-06-10 17:37:25.036: INFO @log_profile : T hooks: 2.683025 2021-06-10 17:37:25.036: INFO @main_loop : Epoch 189 done 2021-06-10 17:37:25.036: INFO @main_loop : Training epoch 190 2021-06-10 17:37:43.609: INFO @log_variables: train loss nanmean: 1.934550 2021-06-10 17:37:43.609: INFO @log_variables: train age_loss mean: 1.070425 2021-06-10 17:37:43.609: INFO @log_variables: train gender_loss mean: 0.403307 2021-06-10 17:37:43.609: INFO @log_variables: train age_mae mean: 11.786121 2021-06-10 17:37:43.609: INFO @log_variables: train gender_accuracy mean: 0.815072 2021-06-10 17:37:43.609: INFO @log_variables: train artificial_age_loss mean: 0.273713 2021-06-10 17:37:43.609: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:37:43.609: INFO @log_variables: train gender_confidence/accuracy mean: 0.322464 2021-06-10 17:37:43.609: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:37:43.610: INFO @log_variables: train age_confidence/accuracy mean: 0.493188 2021-06-10 17:37:43.610: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:37:43.612: INFO @metrics_hook: train age_mae: 11.786 +-0.180 (13800) 2021-06-10 17:37:43.614: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13800) 2021-06-10 17:37:45.612: INFO @decay_lr : LR updated to `0.00011574602` 2021-06-10 17:37:45.613: INFO @log_profile : T train: 17.470592 2021-06-10 17:37:45.613: INFO @log_profile : T read data: 0.410605 2021-06-10 17:37:45.614: INFO @log_profile : T hooks: 2.647502 2021-06-10 17:37:45.614: INFO @main_loop : Epoch 190 done 2021-06-10 17:37:45.614: INFO @main_loop : Training epoch 191 2021-06-10 17:38:03.885: INFO @log_variables: train loss nanmean: 1.992470 2021-06-10 17:38:03.885: INFO @log_variables: train age_loss mean: 1.056535 2021-06-10 17:38:03.885: INFO @log_variables: train gender_loss mean: 0.407235 2021-06-10 17:38:03.885: INFO @log_variables: train age_mae mean: 11.666126 2021-06-10 17:38:03.885: INFO @log_variables: train gender_accuracy mean: 0.813730 2021-06-10 17:38:03.885: INFO @log_variables: train artificial_age_loss mean: 0.272685 2021-06-10 17:38:03.885: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:38:03.885: INFO @log_variables: train gender_confidence/accuracy mean: 0.318432 2021-06-10 17:38:03.886: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:38:03.886: INFO @log_variables: train age_confidence/accuracy mean: 0.493417 2021-06-10 17:38:03.886: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:38:03.888: INFO @metrics_hook: train age_mae: 11.666 +-0.179 (13824) 2021-06-10 17:38:03.890: INFO @metrics_hook: train gender_accuracy: 0.814 +-0.007 (13824) 2021-06-10 17:38:05.764: INFO @decay_lr : LR updated to `0.00011516729` 2021-06-10 17:38:05.765: INFO @log_profile : T train: 17.306118 2021-06-10 17:38:05.765: INFO @log_profile : T read data: 0.268077 2021-06-10 17:38:05.765: INFO @log_profile : T hooks: 2.526866 2021-06-10 17:38:05.765: INFO @main_loop : Epoch 191 done 2021-06-10 17:38:05.765: INFO @main_loop : Training epoch 192 2021-06-10 17:38:24.082: INFO @log_variables: train loss nanmean: 1.974297 2021-06-10 17:38:24.082: INFO @log_variables: train age_loss mean: 1.053959 2021-06-10 17:38:24.083: INFO @log_variables: train gender_loss mean: 0.404473 2021-06-10 17:38:24.083: INFO @log_variables: train age_mae mean: 11.617540 2021-06-10 17:38:24.083: INFO @log_variables: train gender_accuracy mean: 0.811343 2021-06-10 17:38:24.083: INFO @log_variables: train artificial_age_loss mean: 0.274700 2021-06-10 17:38:24.083: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:38:24.083: INFO @log_variables: train gender_confidence/accuracy mean: 0.322266 2021-06-10 17:38:24.083: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:38:24.083: INFO @log_variables: train age_confidence/accuracy mean: 0.488281 2021-06-10 17:38:24.083: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:38:24.084: INFO @metrics_hook: train age_mae: 11.618 +-0.177 (13824) 2021-06-10 17:38:24.085: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13824) 2021-06-10 17:38:26.091: INFO @decay_lr : LR updated to `0.00011459146` 2021-06-10 17:38:26.092: INFO @log_profile : T train: 17.380269 2021-06-10 17:38:26.092: INFO @log_profile : T read data: 0.263706 2021-06-10 17:38:26.092: INFO @log_profile : T hooks: 2.634555 2021-06-10 17:38:26.092: INFO @main_loop : Epoch 192 done 2021-06-10 17:38:26.092: INFO @main_loop : Training epoch 193 2021-06-10 17:38:44.470: INFO @log_variables: train loss nanmean: 1.958369 2021-06-10 17:38:44.470: INFO @log_variables: train age_loss mean: 1.056808 2021-06-10 17:38:44.470: INFO @log_variables: train gender_loss mean: 0.404350 2021-06-10 17:38:44.470: INFO @log_variables: train age_mae mean: 11.642998 2021-06-10 17:38:44.470: INFO @log_variables: train gender_accuracy mean: 0.813282 2021-06-10 17:38:44.471: INFO @log_variables: train artificial_age_loss mean: 0.276294 2021-06-10 17:38:44.471: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:38:44.471: INFO @log_variables: train gender_confidence/accuracy mean: 0.317659 2021-06-10 17:38:44.471: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:38:44.471: INFO @log_variables: train age_confidence/accuracy mean: 0.488244 2021-06-10 17:38:44.471: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:38:44.473: INFO @metrics_hook: train age_mae: 11.643 +-0.177 (13823) 2021-06-10 17:38:44.475: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13823) 2021-06-10 17:38:46.424: INFO @decay_lr : LR updated to `0.0001140185` 2021-06-10 17:38:46.425: INFO @log_profile : T train: 17.432056 2021-06-10 17:38:46.425: INFO @log_profile : T read data: 0.261240 2021-06-10 17:38:46.425: INFO @log_profile : T hooks: 2.590968 2021-06-10 17:38:46.425: INFO @main_loop : Epoch 193 done 2021-06-10 17:38:46.425: INFO @main_loop : Training epoch 194 2021-06-10 17:39:04.868: INFO @log_variables: train loss nanmean: 1.918495 2021-06-10 17:39:04.869: INFO @log_variables: train age_loss mean: 1.045911 2021-06-10 17:39:04.869: INFO @log_variables: train gender_loss mean: 0.389359 2021-06-10 17:39:04.869: INFO @log_variables: train age_mae mean: 11.538630 2021-06-10 17:39:04.869: INFO @log_variables: train gender_accuracy mean: 0.824058 2021-06-10 17:39:04.869: INFO @log_variables: train artificial_age_loss mean: 0.273788 2021-06-10 17:39:04.869: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:39:04.869: INFO @log_variables: train gender_confidence/accuracy mean: 0.314420 2021-06-10 17:39:04.869: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:39:04.869: INFO @log_variables: train age_confidence/accuracy mean: 0.486159 2021-06-10 17:39:04.869: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:39:04.871: INFO @metrics_hook: train age_mae: 11.539 +-0.178 (13800) 2021-06-10 17:39:04.873: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13800) 2021-06-10 17:39:06.855: INFO @decay_lr : LR updated to `0.000113448405` 2021-06-10 17:39:06.856: INFO @log_profile : T train: 17.335685 2021-06-10 17:39:06.857: INFO @log_profile : T read data: 0.417595 2021-06-10 17:39:06.857: INFO @log_profile : T hooks: 2.629506 2021-06-10 17:39:06.857: INFO @main_loop : Epoch 194 done 2021-06-10 17:39:06.857: INFO @main_loop : Training epoch 195 2021-06-10 17:39:25.226: INFO @log_variables: train loss nanmean: 1.926738 2021-06-10 17:39:25.226: INFO @log_variables: train age_loss mean: 1.037246 2021-06-10 17:39:25.226: INFO @log_variables: train gender_loss mean: 0.402709 2021-06-10 17:39:25.226: INFO @log_variables: train age_mae mean: 11.478200 2021-06-10 17:39:25.226: INFO @log_variables: train gender_accuracy mean: 0.817925 2021-06-10 17:39:25.226: INFO @log_variables: train artificial_age_loss mean: 0.269958 2021-06-10 17:39:25.227: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:39:25.227: INFO @log_variables: train gender_confidence/accuracy mean: 0.330006 2021-06-10 17:39:25.227: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:39:25.227: INFO @log_variables: train age_confidence/accuracy mean: 0.484447 2021-06-10 17:39:25.227: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:39:25.230: INFO @metrics_hook: train age_mae: 11.478 +-0.177 (13824) 2021-06-10 17:39:25.232: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-06-10 17:39:27.237: INFO @decay_lr : LR updated to `0.000112881164` 2021-06-10 17:39:27.239: INFO @log_profile : T train: 17.411600 2021-06-10 17:39:27.239: INFO @log_profile : T read data: 0.269894 2021-06-10 17:39:27.239: INFO @log_profile : T hooks: 2.651960 2021-06-10 17:39:27.239: INFO @main_loop : Epoch 195 done 2021-06-10 17:39:27.239: INFO @main_loop : Training epoch 196 2021-06-10 17:39:45.673: INFO @log_variables: train loss nanmean: 1.958722 2021-06-10 17:39:45.673: INFO @log_variables: train age_loss mean: 1.072407 2021-06-10 17:39:45.673: INFO @log_variables: train gender_loss mean: 0.397428 2021-06-10 17:39:45.673: INFO @log_variables: train age_mae mean: 11.791620 2021-06-10 17:39:45.673: INFO @log_variables: train gender_accuracy mean: 0.818491 2021-06-10 17:39:45.673: INFO @log_variables: train artificial_age_loss mean: 0.273072 2021-06-10 17:39:45.673: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:39:45.673: INFO @log_variables: train gender_confidence/accuracy mean: 0.327208 2021-06-10 17:39:45.673: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:39:45.674: INFO @log_variables: train age_confidence/accuracy mean: 0.476525 2021-06-10 17:39:45.674: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:39:45.676: INFO @metrics_hook: train age_mae: 11.792 +-0.180 (13823) 2021-06-10 17:39:45.677: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13823) 2021-06-10 17:39:47.596: INFO @decay_lr : LR updated to `0.00011231676` 2021-06-10 17:39:47.597: INFO @log_profile : T train: 17.471016 2021-06-10 17:39:47.597: INFO @log_profile : T read data: 0.267778 2021-06-10 17:39:47.597: INFO @log_profile : T hooks: 2.570714 2021-06-10 17:39:47.597: INFO @main_loop : Epoch 196 done 2021-06-10 17:39:47.597: INFO @main_loop : Training epoch 197 2021-06-10 17:40:05.924: INFO @log_variables: train loss nanmean: 1.952657 2021-06-10 17:40:05.925: INFO @log_variables: train age_loss mean: 1.067899 2021-06-10 17:40:05.925: INFO @log_variables: train gender_loss mean: 0.396305 2021-06-10 17:40:05.925: INFO @log_variables: train age_mae mean: 11.760823 2021-06-10 17:40:05.925: INFO @log_variables: train gender_accuracy mean: 0.818793 2021-06-10 17:40:05.925: INFO @log_variables: train artificial_age_loss mean: 0.272751 2021-06-10 17:40:05.925: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:40:05.925: INFO @log_variables: train gender_confidence/accuracy mean: 0.317636 2021-06-10 17:40:05.925: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:40:05.925: INFO @log_variables: train age_confidence/accuracy mean: 0.483796 2021-06-10 17:40:05.925: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:40:05.927: INFO @metrics_hook: train age_mae: 11.761 +-0.182 (13824) 2021-06-10 17:40:05.929: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-06-10 17:40:07.938: INFO @decay_lr : LR updated to `0.00011175518` 2021-06-10 17:40:07.940: INFO @log_profile : T train: 17.371817 2021-06-10 17:40:07.940: INFO @log_profile : T read data: 0.270049 2021-06-10 17:40:07.940: INFO @log_profile : T hooks: 2.652585 2021-06-10 17:40:07.940: INFO @main_loop : Epoch 197 done 2021-06-10 17:40:07.940: INFO @main_loop : Training epoch 198 2021-06-10 17:40:26.494: INFO @log_variables: train loss nanmean: 1.939088 2021-06-10 17:40:26.494: INFO @log_variables: train age_loss mean: 1.062863 2021-06-10 17:40:26.494: INFO @log_variables: train gender_loss mean: 0.387792 2021-06-10 17:40:26.494: INFO @log_variables: train age_mae mean: 11.705192 2021-06-10 17:40:26.494: INFO @log_variables: train gender_accuracy mean: 0.824915 2021-06-10 17:40:26.494: INFO @log_variables: train artificial_age_loss mean: 0.270653 2021-06-10 17:40:26.494: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:40:26.494: INFO @log_variables: train gender_confidence/accuracy mean: 0.325313 2021-06-10 17:40:26.495: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:40:26.495: INFO @log_variables: train age_confidence/accuracy mean: 0.479020 2021-06-10 17:40:26.495: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:40:26.497: INFO @metrics_hook: train age_mae: 11.705 +-0.179 (13799) 2021-06-10 17:40:26.499: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13799) 2021-06-10 17:40:28.474: INFO @decay_lr : LR updated to `0.0001111964` 2021-06-10 17:40:28.475: INFO @log_profile : T train: 17.442503 2021-06-10 17:40:28.475: INFO @log_profile : T read data: 0.417169 2021-06-10 17:40:28.475: INFO @log_profile : T hooks: 2.625314 2021-06-10 17:40:28.475: INFO @main_loop : Epoch 198 done 2021-06-10 17:40:28.475: INFO @main_loop : Training epoch 199 2021-06-10 17:40:46.776: INFO @log_variables: train loss nanmean: 1.937580 2021-06-10 17:40:46.777: INFO @log_variables: train age_loss mean: 1.050827 2021-06-10 17:40:46.777: INFO @log_variables: train gender_loss mean: 0.390279 2021-06-10 17:40:46.777: INFO @log_variables: train age_mae mean: 11.593110 2021-06-10 17:40:46.777: INFO @log_variables: train gender_accuracy mean: 0.822917 2021-06-10 17:40:46.777: INFO @log_variables: train artificial_age_loss mean: 0.274206 2021-06-10 17:40:46.777: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:40:46.777: INFO @log_variables: train gender_confidence/accuracy mean: 0.321904 2021-06-10 17:40:46.777: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:40:46.777: INFO @log_variables: train age_confidence/accuracy mean: 0.486256 2021-06-10 17:40:46.777: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:40:46.779: INFO @metrics_hook: train age_mae: 11.593 +-0.175 (13824) 2021-06-10 17:40:46.780: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13824) 2021-06-10 17:40:48.753: INFO @decay_lr : LR updated to `0.000110640416` 2021-06-10 17:40:48.754: INFO @log_profile : T train: 17.351454 2021-06-10 17:40:48.754: INFO @log_profile : T read data: 0.264250 2021-06-10 17:40:48.754: INFO @log_profile : T hooks: 2.614711 2021-06-10 17:40:48.754: INFO @main_loop : Epoch 199 done 2021-06-10 17:40:48.754: INFO @main_loop : Training epoch 200 2021-06-10 17:41:07.058: INFO @log_variables: train loss nanmean: 1.910374 2021-06-10 17:41:07.059: INFO @log_variables: train age_loss mean: 1.041520 2021-06-10 17:41:07.059: INFO @log_variables: train gender_loss mean: 0.385331 2021-06-10 17:41:07.059: INFO @log_variables: train age_mae mean: 11.488242 2021-06-10 17:41:07.059: INFO @log_variables: train gender_accuracy mean: 0.828921 2021-06-10 17:41:07.059: INFO @log_variables: train artificial_age_loss mean: 0.272345 2021-06-10 17:41:07.059: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:41:07.059: INFO @log_variables: train gender_confidence/accuracy mean: 0.313730 2021-06-10 17:41:07.059: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:41:07.059: INFO @log_variables: train age_confidence/accuracy mean: 0.474320 2021-06-10 17:41:07.059: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:41:07.061: INFO @metrics_hook: train age_mae: 11.488 +-0.175 (13824) 2021-06-10 17:41:07.063: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-06-10 17:41:09.120: INFO @decay_lr : LR updated to `0.00011008721` 2021-06-10 17:41:09.120: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:305: The name tf.train.write_graph is deprecated. Please use tf.io.write_graph instead. 2021-06-10 17:41:09.489: INFO @save : Model saved to: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe/model_200.ckpt 2021-06-10 17:41:09.490: INFO @log_profile : T train: 17.380904 2021-06-10 17:41:09.491: INFO @log_profile : T read data: 0.264126 2021-06-10 17:41:09.491: INFO @log_profile : T hooks: 3.043544 2021-06-10 17:41:09.491: INFO @main_loop : Epoch 200 done 2021-06-10 17:41:09.491: INFO @main_loop : Training epoch 201 2021-06-10 17:41:27.871: INFO @log_variables: train loss nanmean: 1.910127 2021-06-10 17:41:27.871: INFO @log_variables: train age_loss mean: 1.048151 2021-06-10 17:41:27.871: INFO @log_variables: train gender_loss mean: 0.391663 2021-06-10 17:41:27.871: INFO @log_variables: train age_mae mean: 11.573589 2021-06-10 17:41:27.871: INFO @log_variables: train gender_accuracy mean: 0.822555 2021-06-10 17:41:27.871: INFO @log_variables: train artificial_age_loss mean: 0.273031 2021-06-10 17:41:27.871: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:41:27.871: INFO @log_variables: train gender_confidence/accuracy mean: 0.325231 2021-06-10 17:41:27.871: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:41:27.872: INFO @log_variables: train age_confidence/accuracy mean: 0.469546 2021-06-10 17:41:27.872: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:41:27.873: INFO @metrics_hook: train age_mae: 11.574 +-0.176 (13824) 2021-06-10 17:41:27.875: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13824) 2021-06-10 17:41:29.813: INFO @decay_lr : LR updated to `0.00010953678` 2021-06-10 17:41:29.814: INFO @log_profile : T train: 17.420419 2021-06-10 17:41:29.814: INFO @log_profile : T read data: 0.264089 2021-06-10 17:41:29.814: INFO @log_profile : T hooks: 2.590064 2021-06-10 17:41:29.814: INFO @main_loop : Epoch 201 done 2021-06-10 17:41:29.814: INFO @main_loop : Training epoch 202 2021-06-10 17:41:48.410: INFO @log_variables: train loss nanmean: 1.949817 2021-06-10 17:41:48.410: INFO @log_variables: train age_loss mean: 1.049968 2021-06-10 17:41:48.410: INFO @log_variables: train gender_loss mean: 0.395686 2021-06-10 17:41:48.410: INFO @log_variables: train age_mae mean: 11.590356 2021-06-10 17:41:48.410: INFO @log_variables: train gender_accuracy mean: 0.820507 2021-06-10 17:41:48.410: INFO @log_variables: train artificial_age_loss mean: 0.270873 2021-06-10 17:41:48.410: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:41:48.410: INFO @log_variables: train gender_confidence/accuracy mean: 0.319783 2021-06-10 17:41:48.410: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:41:48.410: INFO @log_variables: train age_confidence/accuracy mean: 0.478768 2021-06-10 17:41:48.410: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:41:48.412: INFO @metrics_hook: train age_mae: 11.590 +-0.180 (13800) 2021-06-10 17:41:48.414: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13800) 2021-06-10 17:41:50.401: INFO @decay_lr : LR updated to `0.000108989094` 2021-06-10 17:41:50.403: INFO @log_profile : T train: 17.476368 2021-06-10 17:41:50.403: INFO @log_profile : T read data: 0.417067 2021-06-10 17:41:50.403: INFO @log_profile : T hooks: 2.647041 2021-06-10 17:41:50.403: INFO @main_loop : Epoch 202 done 2021-06-10 17:41:50.403: INFO @main_loop : Training epoch 203 2021-06-10 17:42:08.700: INFO @log_variables: train loss nanmean: 1.926470 2021-06-10 17:42:08.700: INFO @log_variables: train age_loss mean: 1.058242 2021-06-10 17:42:08.700: INFO @log_variables: train gender_loss mean: 0.389392 2021-06-10 17:42:08.700: INFO @log_variables: train age_mae mean: 11.626473 2021-06-10 17:42:08.700: INFO @log_variables: train gender_accuracy mean: 0.821832 2021-06-10 17:42:08.700: INFO @log_variables: train artificial_age_loss mean: 0.271789 2021-06-10 17:42:08.700: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:42:08.700: INFO @log_variables: train gender_confidence/accuracy mean: 0.323785 2021-06-10 17:42:08.700: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:42:08.700: INFO @log_variables: train age_confidence/accuracy mean: 0.472005 2021-06-10 17:42:08.700: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:42:08.702: INFO @metrics_hook: train age_mae: 11.626 +-0.178 (13824) 2021-06-10 17:42:08.703: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-06-10 17:42:10.770: INFO @decay_lr : LR updated to `0.00010844415` 2021-06-10 17:42:10.771: INFO @log_profile : T train: 17.340066 2021-06-10 17:42:10.771: INFO @log_profile : T read data: 0.271300 2021-06-10 17:42:10.771: INFO @log_profile : T hooks: 2.707433 2021-06-10 17:42:10.772: INFO @main_loop : Epoch 203 done 2021-06-10 17:42:10.772: INFO @main_loop : Training epoch 204 2021-06-10 17:42:29.166: INFO @log_variables: train loss nanmean: 1.912177 2021-06-10 17:42:29.166: INFO @log_variables: train age_loss mean: 1.043213 2021-06-10 17:42:29.166: INFO @log_variables: train gender_loss mean: 0.399672 2021-06-10 17:42:29.166: INFO @log_variables: train age_mae mean: 11.525269 2021-06-10 17:42:29.166: INFO @log_variables: train gender_accuracy mean: 0.820747 2021-06-10 17:42:29.166: INFO @log_variables: train artificial_age_loss mean: 0.269938 2021-06-10 17:42:29.166: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:42:29.167: INFO @log_variables: train gender_confidence/accuracy mean: 0.327836 2021-06-10 17:42:29.167: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:42:29.167: INFO @log_variables: train age_confidence/accuracy mean: 0.481988 2021-06-10 17:42:29.167: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:42:29.169: INFO @metrics_hook: train age_mae: 11.525 +-0.178 (13824) 2021-06-10 17:42:29.171: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13824) 2021-06-10 17:42:33.669: INFO @decay_lr : LR updated to `0.00010790193` 2021-06-10 17:42:33.670: INFO @log_profile : T train: 17.426387 2021-06-10 17:42:33.670: INFO @log_profile : T read data: 0.270724 2021-06-10 17:42:33.670: INFO @log_profile : T hooks: 5.152965 2021-06-10 17:42:33.671: INFO @main_loop : Epoch 204 done 2021-06-10 17:42:33.671: INFO @main_loop : Training epoch 205 2021-06-10 17:42:51.973: INFO @log_variables: train loss nanmean: 1.908533 2021-06-10 17:42:51.973: INFO @log_variables: train age_loss mean: 1.041649 2021-06-10 17:42:51.973: INFO @log_variables: train gender_loss mean: 0.387321 2021-06-10 17:42:51.973: INFO @log_variables: train age_mae mean: 11.523890 2021-06-10 17:42:51.974: INFO @log_variables: train gender_accuracy mean: 0.826389 2021-06-10 17:42:51.974: INFO @log_variables: train artificial_age_loss mean: 0.269340 2021-06-10 17:42:51.974: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:42:51.974: INFO @log_variables: train gender_confidence/accuracy mean: 0.320312 2021-06-10 17:42:51.974: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:42:51.974: INFO @log_variables: train age_confidence/accuracy mean: 0.492766 2021-06-10 17:42:51.974: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:42:51.975: INFO @metrics_hook: train age_mae: 11.524 +-0.179 (13824) 2021-06-10 17:42:51.976: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-06-10 17:42:53.983: INFO @decay_lr : LR updated to `0.000107362415` 2021-06-10 17:42:53.984: INFO @log_profile : T train: 17.374392 2021-06-10 17:42:53.984: INFO @log_profile : T read data: 0.262578 2021-06-10 17:42:53.984: INFO @log_profile : T hooks: 2.628852 2021-06-10 17:42:53.984: INFO @main_loop : Epoch 205 done 2021-06-10 17:42:53.984: INFO @main_loop : Training epoch 206 2021-06-10 17:43:12.441: INFO @log_variables: train loss nanmean: 1.925256 2021-06-10 17:43:12.441: INFO @log_variables: train age_loss mean: 1.054866 2021-06-10 17:43:12.441: INFO @log_variables: train gender_loss mean: 0.396633 2021-06-10 17:43:12.441: INFO @log_variables: train age_mae mean: 11.620174 2021-06-10 17:43:12.441: INFO @log_variables: train gender_accuracy mean: 0.817029 2021-06-10 17:43:12.441: INFO @log_variables: train artificial_age_loss mean: 0.270750 2021-06-10 17:43:12.441: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:43:12.441: INFO @log_variables: train gender_confidence/accuracy mean: 0.327971 2021-06-10 17:43:12.442: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:43:12.442: INFO @log_variables: train age_confidence/accuracy mean: 0.490725 2021-06-10 17:43:12.442: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:43:12.444: INFO @metrics_hook: train age_mae: 11.620 +-0.177 (13800) 2021-06-10 17:43:12.445: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13800) 2021-06-10 17:43:14.478: INFO @decay_lr : LR updated to `0.0001068256` 2021-06-10 17:43:14.479: INFO @log_profile : T train: 17.349468 2021-06-10 17:43:14.479: INFO @log_profile : T read data: 0.417478 2021-06-10 17:43:14.479: INFO @log_profile : T hooks: 2.679621 2021-06-10 17:43:14.479: INFO @main_loop : Epoch 206 done 2021-06-10 17:43:14.479: INFO @main_loop : Training epoch 207 2021-06-10 17:43:32.833: INFO @log_variables: train loss nanmean: 1.954543 2021-06-10 17:43:32.833: INFO @log_variables: train age_loss mean: 1.060107 2021-06-10 17:43:32.834: INFO @log_variables: train gender_loss mean: 0.389046 2021-06-10 17:43:32.834: INFO @log_variables: train age_mae mean: 11.661451 2021-06-10 17:43:32.834: INFO @log_variables: train gender_accuracy mean: 0.822483 2021-06-10 17:43:32.834: INFO @log_variables: train artificial_age_loss mean: 0.272342 2021-06-10 17:43:32.834: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:43:32.834: INFO @log_variables: train gender_confidence/accuracy mean: 0.321181 2021-06-10 17:43:32.834: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:43:32.834: INFO @log_variables: train age_confidence/accuracy mean: 0.495515 2021-06-10 17:43:32.834: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:43:32.836: INFO @metrics_hook: train age_mae: 11.661 +-0.177 (13824) 2021-06-10 17:43:32.838: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.006 (13824) 2021-06-10 17:43:34.893: INFO @decay_lr : LR updated to `0.000106291474` 2021-06-10 17:43:34.894: INFO @log_profile : T train: 17.395485 2021-06-10 17:43:34.894: INFO @log_profile : T read data: 0.267456 2021-06-10 17:43:34.894: INFO @log_profile : T hooks: 2.702825 2021-06-10 17:43:34.894: INFO @main_loop : Epoch 207 done 2021-06-10 17:43:34.894: INFO @main_loop : Training epoch 208 2021-06-10 17:43:53.282: INFO @log_variables: train loss nanmean: 1.915119 2021-06-10 17:43:53.282: INFO @log_variables: train age_loss mean: 1.040831 2021-06-10 17:43:53.282: INFO @log_variables: train gender_loss mean: 0.387830 2021-06-10 17:43:53.282: INFO @log_variables: train age_mae mean: 11.469727 2021-06-10 17:43:53.282: INFO @log_variables: train gender_accuracy mean: 0.820457 2021-06-10 17:43:53.282: INFO @log_variables: train artificial_age_loss mean: 0.275523 2021-06-10 17:43:53.282: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:43:53.282: INFO @log_variables: train gender_confidence/accuracy mean: 0.326244 2021-06-10 17:43:53.283: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:43:53.283: INFO @log_variables: train age_confidence/accuracy mean: 0.498192 2021-06-10 17:43:53.283: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:43:53.285: INFO @metrics_hook: train age_mae: 11.470 +-0.175 (13824) 2021-06-10 17:43:53.287: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-06-10 17:43:55.263: INFO @decay_lr : LR updated to `0.00010576002` 2021-06-10 17:43:55.264: INFO @log_profile : T train: 17.447834 2021-06-10 17:43:55.264: INFO @log_profile : T read data: 0.258454 2021-06-10 17:43:55.264: INFO @log_profile : T hooks: 2.614474 2021-06-10 17:43:55.264: INFO @main_loop : Epoch 208 done 2021-06-10 17:43:55.264: INFO @main_loop : Training epoch 209 2021-06-10 17:44:13.694: INFO @log_variables: train loss nanmean: 1.907465 2021-06-10 17:44:13.695: INFO @log_variables: train age_loss mean: 1.033449 2021-06-10 17:44:13.695: INFO @log_variables: train gender_loss mean: 0.390629 2021-06-10 17:44:13.695: INFO @log_variables: train age_mae mean: 11.434258 2021-06-10 17:44:13.695: INFO @log_variables: train gender_accuracy mean: 0.824146 2021-06-10 17:44:13.695: INFO @log_variables: train artificial_age_loss mean: 0.270121 2021-06-10 17:44:13.695: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:44:13.695: INFO @log_variables: train gender_confidence/accuracy mean: 0.318649 2021-06-10 17:44:13.695: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:44:13.695: INFO @log_variables: train age_confidence/accuracy mean: 0.498698 2021-06-10 17:44:13.695: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:44:13.696: INFO @metrics_hook: train age_mae: 11.434 +-0.176 (13824) 2021-06-10 17:44:13.698: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13824) 2021-06-10 17:44:15.711: INFO @decay_lr : LR updated to `0.000105231215` 2021-06-10 17:44:15.712: INFO @log_profile : T train: 17.502234 2021-06-10 17:44:15.712: INFO @log_profile : T read data: 0.260820 2021-06-10 17:44:15.712: INFO @log_profile : T hooks: 2.637158 2021-06-10 17:44:15.713: INFO @main_loop : Epoch 209 done 2021-06-10 17:44:15.713: INFO @main_loop : Training epoch 210 2021-06-10 17:44:34.236: INFO @log_variables: train loss nanmean: 1.926011 2021-06-10 17:44:34.236: INFO @log_variables: train age_loss mean: 1.043828 2021-06-10 17:44:34.236: INFO @log_variables: train gender_loss mean: 0.388260 2021-06-10 17:44:34.236: INFO @log_variables: train age_mae mean: 11.514282 2021-06-10 17:44:34.236: INFO @log_variables: train gender_accuracy mean: 0.823043 2021-06-10 17:44:34.237: INFO @log_variables: train artificial_age_loss mean: 0.272045 2021-06-10 17:44:34.237: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:44:34.237: INFO @log_variables: train gender_confidence/accuracy mean: 0.321232 2021-06-10 17:44:34.237: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:44:34.237: INFO @log_variables: train age_confidence/accuracy mean: 0.485870 2021-06-10 17:44:34.237: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:44:34.239: INFO @metrics_hook: train age_mae: 11.514 +-0.177 (13800) 2021-06-10 17:44:34.241: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13800) 2021-06-10 17:44:36.188: INFO @decay_lr : LR updated to `0.00010470506` 2021-06-10 17:44:36.189: INFO @log_profile : T train: 17.415610 2021-06-10 17:44:36.189: INFO @log_profile : T read data: 0.412170 2021-06-10 17:44:36.189: INFO @log_profile : T hooks: 2.599477 2021-06-10 17:44:36.189: INFO @main_loop : Epoch 210 done 2021-06-10 17:44:36.189: INFO @main_loop : Training epoch 211 2021-06-10 17:44:54.403: INFO @log_variables: train loss nanmean: 1.912949 2021-06-10 17:44:54.403: INFO @log_variables: train age_loss mean: 1.049095 2021-06-10 17:44:54.404: INFO @log_variables: train gender_loss mean: 0.389294 2021-06-10 17:44:54.404: INFO @log_variables: train age_mae mean: 11.582650 2021-06-10 17:44:54.404: INFO @log_variables: train gender_accuracy mean: 0.819589 2021-06-10 17:44:54.404: INFO @log_variables: train artificial_age_loss mean: 0.271689 2021-06-10 17:44:54.404: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:44:54.404: INFO @log_variables: train gender_confidence/accuracy mean: 0.323640 2021-06-10 17:44:54.404: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:44:54.404: INFO @log_variables: train age_confidence/accuracy mean: 0.482856 2021-06-10 17:44:54.404: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:44:54.406: INFO @metrics_hook: train age_mae: 11.583 +-0.176 (13824) 2021-06-10 17:44:54.408: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-06-10 17:44:56.335: INFO @decay_lr : LR updated to `0.000104181534` 2021-06-10 17:44:56.336: INFO @log_profile : T train: 17.316233 2021-06-10 17:44:56.337: INFO @log_profile : T read data: 0.259207 2021-06-10 17:44:56.337: INFO @log_profile : T hooks: 2.525547 2021-06-10 17:44:56.337: INFO @main_loop : Epoch 211 done 2021-06-10 17:44:56.337: INFO @main_loop : Training epoch 212 2021-06-10 17:45:13.938: INFO @log_variables: train loss nanmean: 1.906377 2021-06-10 17:45:13.938: INFO @log_variables: train age_loss mean: 1.051313 2021-06-10 17:45:13.938: INFO @log_variables: train gender_loss mean: 0.389914 2021-06-10 17:45:13.938: INFO @log_variables: train age_mae mean: 11.583756 2021-06-10 17:45:13.938: INFO @log_variables: train gender_accuracy mean: 0.819589 2021-06-10 17:45:13.938: INFO @log_variables: train artificial_age_loss mean: 0.270557 2021-06-10 17:45:13.938: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:45:13.938: INFO @log_variables: train gender_confidence/accuracy mean: 0.325810 2021-06-10 17:45:13.939: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:45:13.939: INFO @log_variables: train age_confidence/accuracy mean: 0.486039 2021-06-10 17:45:13.939: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:45:13.941: INFO @metrics_hook: train age_mae: 11.584 +-0.176 (13824) 2021-06-10 17:45:13.942: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-06-10 17:45:15.972: INFO @decay_lr : LR updated to `0.000103660626` 2021-06-10 17:45:15.973: INFO @log_profile : T train: 16.641143 2021-06-10 17:45:15.973: INFO @log_profile : T read data: 0.262635 2021-06-10 17:45:15.973: INFO @log_profile : T hooks: 2.684567 2021-06-10 17:45:15.973: INFO @main_loop : Epoch 212 done 2021-06-10 17:45:15.973: INFO @main_loop : Training epoch 213 2021-06-10 17:45:33.700: INFO @log_variables: train loss nanmean: 1.852656 2021-06-10 17:45:33.700: INFO @log_variables: train age_loss mean: 1.031196 2021-06-10 17:45:33.700: INFO @log_variables: train gender_loss mean: 0.381187 2021-06-10 17:45:33.700: INFO @log_variables: train age_mae mean: 11.414701 2021-06-10 17:45:33.700: INFO @log_variables: train gender_accuracy mean: 0.827329 2021-06-10 17:45:33.700: INFO @log_variables: train artificial_age_loss mean: 0.269399 2021-06-10 17:45:33.701: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:45:33.701: INFO @log_variables: train gender_confidence/accuracy mean: 0.322049 2021-06-10 17:45:33.701: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:45:33.701: INFO @log_variables: train age_confidence/accuracy mean: 0.484809 2021-06-10 17:45:33.701: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:45:33.703: INFO @metrics_hook: train age_mae: 11.415 +-0.177 (13824) 2021-06-10 17:45:33.705: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-06-10 17:45:35.669: INFO @decay_lr : LR updated to `0.00010314232` 2021-06-10 17:45:35.670: INFO @log_profile : T train: 16.780830 2021-06-10 17:45:35.670: INFO @log_profile : T read data: 0.265384 2021-06-10 17:45:35.670: INFO @log_profile : T hooks: 2.602591 2021-06-10 17:45:35.670: INFO @main_loop : Epoch 213 done 2021-06-10 17:45:35.670: INFO @main_loop : Training epoch 214 2021-06-10 17:45:53.500: INFO @log_variables: train loss nanmean: 1.900649 2021-06-10 17:45:53.500: INFO @log_variables: train age_loss mean: 1.048272 2021-06-10 17:45:53.500: INFO @log_variables: train gender_loss mean: 0.396653 2021-06-10 17:45:53.500: INFO @log_variables: train age_mae mean: 11.542954 2021-06-10 17:45:53.500: INFO @log_variables: train gender_accuracy mean: 0.822741 2021-06-10 17:45:53.500: INFO @log_variables: train artificial_age_loss mean: 0.271051 2021-06-10 17:45:53.501: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:45:53.501: INFO @log_variables: train gender_confidence/accuracy mean: 0.322922 2021-06-10 17:45:53.501: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:45:53.501: INFO @log_variables: train age_confidence/accuracy mean: 0.498080 2021-06-10 17:45:53.501: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:45:53.503: INFO @metrics_hook: train age_mae: 11.543 +-0.176 (13799) 2021-06-10 17:45:53.505: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.007 (13799) 2021-06-10 17:45:55.428: INFO @decay_lr : LR updated to `0.00010262661` 2021-06-10 17:45:55.429: INFO @log_profile : T train: 16.700713 2021-06-10 17:45:55.429: INFO @log_profile : T read data: 0.441489 2021-06-10 17:45:55.429: INFO @log_profile : T hooks: 2.568442 2021-06-10 17:45:55.429: INFO @main_loop : Epoch 214 done 2021-06-10 17:45:55.429: INFO @main_loop : Training epoch 215 2021-06-10 17:46:13.649: INFO @log_variables: train loss nanmean: 1.886862 2021-06-10 17:46:13.649: INFO @log_variables: train age_loss mean: 1.043556 2021-06-10 17:46:13.649: INFO @log_variables: train gender_loss mean: 0.382491 2021-06-10 17:46:13.649: INFO @log_variables: train age_mae mean: 11.514132 2021-06-10 17:46:13.649: INFO @log_variables: train gender_accuracy mean: 0.827112 2021-06-10 17:46:13.650: INFO @log_variables: train artificial_age_loss mean: 0.271398 2021-06-10 17:46:13.650: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:46:13.650: INFO @log_variables: train gender_confidence/accuracy mean: 0.325666 2021-06-10 17:46:13.650: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:46:13.650: INFO @log_variables: train age_confidence/accuracy mean: 0.496238 2021-06-10 17:46:13.650: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:46:13.652: INFO @metrics_hook: train age_mae: 11.514 +-0.178 (13824) 2021-06-10 17:46:13.654: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-06-10 17:46:15.622: INFO @decay_lr : LR updated to `0.00010211348` 2021-06-10 17:46:15.623: INFO @log_profile : T train: 17.260293 2021-06-10 17:46:15.623: INFO @log_profile : T read data: 0.270254 2021-06-10 17:46:15.624: INFO @log_profile : T hooks: 2.615080 2021-06-10 17:46:15.624: INFO @main_loop : Epoch 215 done 2021-06-10 17:46:15.624: INFO @main_loop : Training epoch 216 2021-06-10 17:46:33.968: INFO @log_variables: train loss nanmean: 1.893109 2021-06-10 17:46:33.968: INFO @log_variables: train age_loss mean: 1.027573 2021-06-10 17:46:33.968: INFO @log_variables: train gender_loss mean: 0.385682 2021-06-10 17:46:33.968: INFO @log_variables: train age_mae mean: 11.394725 2021-06-10 17:46:33.968: INFO @log_variables: train gender_accuracy mean: 0.825449 2021-06-10 17:46:33.968: INFO @log_variables: train artificial_age_loss mean: 0.271396 2021-06-10 17:46:33.968: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:46:33.968: INFO @log_variables: train gender_confidence/accuracy mean: 0.317998 2021-06-10 17:46:33.969: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:46:33.969: INFO @log_variables: train age_confidence/accuracy mean: 0.494285 2021-06-10 17:46:33.969: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:46:33.971: INFO @metrics_hook: train age_mae: 11.395 +-0.177 (13824) 2021-06-10 17:46:33.973: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13824) 2021-06-10 17:46:35.962: INFO @decay_lr : LR updated to `0.00010160291` 2021-06-10 17:46:35.964: INFO @log_profile : T train: 17.383904 2021-06-10 17:46:35.965: INFO @log_profile : T read data: 0.265836 2021-06-10 17:46:35.965: INFO @log_profile : T hooks: 2.641833 2021-06-10 17:46:35.965: INFO @main_loop : Epoch 216 done 2021-06-10 17:46:35.965: INFO @main_loop : Training epoch 217 2021-06-10 17:46:54.413: INFO @log_variables: train loss nanmean: 1.913160 2021-06-10 17:46:54.413: INFO @log_variables: train age_loss mean: 1.040372 2021-06-10 17:46:54.413: INFO @log_variables: train gender_loss mean: 0.392488 2021-06-10 17:46:54.414: INFO @log_variables: train age_mae mean: 11.489780 2021-06-10 17:46:54.414: INFO @log_variables: train gender_accuracy mean: 0.818359 2021-06-10 17:46:54.414: INFO @log_variables: train artificial_age_loss mean: 0.271088 2021-06-10 17:46:54.414: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:46:54.414: INFO @log_variables: train gender_confidence/accuracy mean: 0.324653 2021-06-10 17:46:54.414: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:46:54.414: INFO @log_variables: train age_confidence/accuracy mean: 0.493707 2021-06-10 17:46:54.414: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:46:54.416: INFO @metrics_hook: train age_mae: 11.490 +-0.177 (13824) 2021-06-10 17:46:54.418: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-06-10 17:46:56.432: INFO @decay_lr : LR updated to `0.0001010949` 2021-06-10 17:46:56.433: INFO @log_profile : T train: 17.454765 2021-06-10 17:46:56.433: INFO @log_profile : T read data: 0.269136 2021-06-10 17:46:56.433: INFO @log_profile : T hooks: 2.694526 2021-06-10 17:46:56.433: INFO @main_loop : Epoch 217 done 2021-06-10 17:46:56.433: INFO @main_loop : Training epoch 218 2021-06-10 17:47:14.869: INFO @log_variables: train loss nanmean: 1.919459 2021-06-10 17:47:14.869: INFO @log_variables: train age_loss mean: 1.039776 2021-06-10 17:47:14.869: INFO @log_variables: train gender_loss mean: 0.387038 2021-06-10 17:47:14.869: INFO @log_variables: train age_mae mean: 11.502206 2021-06-10 17:47:14.869: INFO @log_variables: train gender_accuracy mean: 0.828551 2021-06-10 17:47:14.869: INFO @log_variables: train artificial_age_loss mean: 0.271459 2021-06-10 17:47:14.869: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:47:14.870: INFO @log_variables: train gender_confidence/accuracy mean: 0.321812 2021-06-10 17:47:14.870: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:47:14.870: INFO @log_variables: train age_confidence/accuracy mean: 0.494565 2021-06-10 17:47:14.870: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:47:14.872: INFO @metrics_hook: train age_mae: 11.502 +-0.178 (13800) 2021-06-10 17:47:14.874: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13800) 2021-06-10 17:47:16.898: INFO @decay_lr : LR updated to `0.00010058942` 2021-06-10 17:47:16.899: INFO @log_profile : T train: 17.313303 2021-06-10 17:47:16.899: INFO @log_profile : T read data: 0.419721 2021-06-10 17:47:16.899: INFO @log_profile : T hooks: 2.683255 2021-06-10 17:47:16.899: INFO @main_loop : Epoch 218 done 2021-06-10 17:47:16.899: INFO @main_loop : Training epoch 219 2021-06-10 17:47:35.122: INFO @log_variables: train loss nanmean: 1.897537 2021-06-10 17:47:35.122: INFO @log_variables: train age_loss mean: 1.038412 2021-06-10 17:47:35.122: INFO @log_variables: train gender_loss mean: 0.388755 2021-06-10 17:47:35.122: INFO @log_variables: train age_mae mean: 11.482732 2021-06-10 17:47:35.122: INFO @log_variables: train gender_accuracy mean: 0.819951 2021-06-10 17:47:35.122: INFO @log_variables: train artificial_age_loss mean: 0.270032 2021-06-10 17:47:35.122: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:47:35.122: INFO @log_variables: train gender_confidence/accuracy mean: 0.327691 2021-06-10 17:47:35.122: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:47:35.123: INFO @log_variables: train age_confidence/accuracy mean: 0.497975 2021-06-10 17:47:35.123: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:47:35.125: INFO @metrics_hook: train age_mae: 11.483 +-0.177 (13824) 2021-06-10 17:47:35.127: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-06-10 17:47:37.105: INFO @decay_lr : LR updated to `0.00010008647` 2021-06-10 17:47:37.106: INFO @log_profile : T train: 17.283175 2021-06-10 17:47:37.106: INFO @log_profile : T read data: 0.263695 2021-06-10 17:47:37.106: INFO @log_profile : T hooks: 2.611146 2021-06-10 17:47:37.106: INFO @main_loop : Epoch 219 done 2021-06-10 17:47:37.106: INFO @main_loop : Training epoch 220 2021-06-10 17:47:55.318: INFO @log_variables: train loss nanmean: 1.885372 2021-06-10 17:47:55.318: INFO @log_variables: train age_loss mean: 1.039644 2021-06-10 17:47:55.318: INFO @log_variables: train gender_loss mean: 0.394331 2021-06-10 17:47:55.318: INFO @log_variables: train age_mae mean: 11.487504 2021-06-10 17:47:55.318: INFO @log_variables: train gender_accuracy mean: 0.822338 2021-06-10 17:47:55.318: INFO @log_variables: train artificial_age_loss mean: 0.272152 2021-06-10 17:47:55.318: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:47:55.319: INFO @log_variables: train gender_confidence/accuracy mean: 0.323278 2021-06-10 17:47:55.319: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:47:55.319: INFO @log_variables: train age_confidence/accuracy mean: 0.493490 2021-06-10 17:47:55.319: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:47:55.320: INFO @metrics_hook: train age_mae: 11.488 +-0.176 (13824) 2021-06-10 17:47:55.322: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-06-10 17:47:57.266: INFO @decay_lr : LR updated to `9.958604e-05` 2021-06-10 17:47:57.268: INFO @log_profile : T train: 17.257809 2021-06-10 17:47:57.268: INFO @log_profile : T read data: 0.266527 2021-06-10 17:47:57.268: INFO @log_profile : T hooks: 2.589488 2021-06-10 17:47:57.268: INFO @main_loop : Epoch 220 done 2021-06-10 17:47:57.268: INFO @main_loop : Training epoch 221 2021-06-10 17:48:15.480: INFO @log_variables: train loss nanmean: 1.902933 2021-06-10 17:48:15.480: INFO @log_variables: train age_loss mean: 1.010880 2021-06-10 17:48:15.480: INFO @log_variables: train gender_loss mean: 0.384212 2021-06-10 17:48:15.480: INFO @log_variables: train age_mae mean: 11.236773 2021-06-10 17:48:15.480: INFO @log_variables: train gender_accuracy mean: 0.828487 2021-06-10 17:48:15.480: INFO @log_variables: train artificial_age_loss mean: 0.272357 2021-06-10 17:48:15.480: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:48:15.480: INFO @log_variables: train gender_confidence/accuracy mean: 0.318866 2021-06-10 17:48:15.480: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:48:15.481: INFO @log_variables: train age_confidence/accuracy mean: 0.501519 2021-06-10 17:48:15.481: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:48:15.483: INFO @metrics_hook: train age_mae: 11.237 +-0.174 (13824) 2021-06-10 17:48:15.485: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13824) 2021-06-10 17:48:17.470: INFO @decay_lr : LR updated to `9.908811e-05` 2021-06-10 17:48:17.471: INFO @log_profile : T train: 17.252095 2021-06-10 17:48:17.471: INFO @log_profile : T read data: 0.262743 2021-06-10 17:48:17.471: INFO @log_profile : T hooks: 2.639803 2021-06-10 17:48:17.472: INFO @main_loop : Epoch 221 done 2021-06-10 17:48:17.472: INFO @main_loop : Training epoch 222 2021-06-10 17:48:35.973: INFO @log_variables: train loss nanmean: 1.890534 2021-06-10 17:48:35.973: INFO @log_variables: train age_loss mean: 1.034174 2021-06-10 17:48:35.974: INFO @log_variables: train gender_loss mean: 0.385969 2021-06-10 17:48:35.974: INFO @log_variables: train age_mae mean: 11.422692 2021-06-10 17:48:35.974: INFO @log_variables: train gender_accuracy mean: 0.824783 2021-06-10 17:48:35.974: INFO @log_variables: train artificial_age_loss mean: 0.269230 2021-06-10 17:48:35.974: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:48:35.974: INFO @log_variables: train gender_confidence/accuracy mean: 0.321449 2021-06-10 17:48:35.974: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:48:35.974: INFO @log_variables: train age_confidence/accuracy mean: 0.499928 2021-06-10 17:48:35.974: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:48:35.976: INFO @metrics_hook: train age_mae: 11.423 +-0.177 (13800) 2021-06-10 17:48:35.978: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13800) 2021-06-10 17:48:37.946: INFO @decay_lr : LR updated to `9.859267e-05` 2021-06-10 17:48:37.947: INFO @log_profile : T train: 17.400418 2021-06-10 17:48:37.948: INFO @log_profile : T read data: 0.405495 2021-06-10 17:48:37.948: INFO @log_profile : T hooks: 2.621037 2021-06-10 17:48:37.948: INFO @main_loop : Epoch 222 done 2021-06-10 17:48:37.948: INFO @main_loop : Training epoch 223 2021-06-10 17:48:56.210: INFO @log_variables: train loss nanmean: 1.901664 2021-06-10 17:48:56.210: INFO @log_variables: train age_loss mean: 1.046007 2021-06-10 17:48:56.210: INFO @log_variables: train gender_loss mean: 0.390095 2021-06-10 17:48:56.210: INFO @log_variables: train age_mae mean: 11.561724 2021-06-10 17:48:56.210: INFO @log_variables: train gender_accuracy mean: 0.821904 2021-06-10 17:48:56.210: INFO @log_variables: train artificial_age_loss mean: 0.268461 2021-06-10 17:48:56.210: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:48:56.211: INFO @log_variables: train gender_confidence/accuracy mean: 0.323206 2021-06-10 17:48:56.211: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:48:56.211: INFO @log_variables: train age_confidence/accuracy mean: 0.500506 2021-06-10 17:48:56.211: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:48:56.212: INFO @metrics_hook: train age_mae: 11.562 +-0.180 (13824) 2021-06-10 17:48:56.213: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-06-10 17:48:58.178: INFO @decay_lr : LR updated to `9.809971e-05` 2021-06-10 17:48:58.179: INFO @log_profile : T train: 17.310436 2021-06-10 17:48:58.179: INFO @log_profile : T read data: 0.270067 2021-06-10 17:48:58.179: INFO @log_profile : T hooks: 2.602252 2021-06-10 17:48:58.179: INFO @main_loop : Epoch 223 done 2021-06-10 17:48:58.179: INFO @main_loop : Training epoch 224 2021-06-10 17:49:16.608: INFO @log_variables: train loss nanmean: 1.866383 2021-06-10 17:49:16.609: INFO @log_variables: train age_loss mean: 1.012427 2021-06-10 17:49:16.609: INFO @log_variables: train gender_loss mean: 0.378545 2021-06-10 17:49:16.609: INFO @log_variables: train age_mae mean: 11.247310 2021-06-10 17:49:16.609: INFO @log_variables: train gender_accuracy mean: 0.830584 2021-06-10 17:49:16.609: INFO @log_variables: train artificial_age_loss mean: 0.268778 2021-06-10 17:49:16.609: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:49:16.609: INFO @log_variables: train gender_confidence/accuracy mean: 0.325883 2021-06-10 17:49:16.609: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:49:16.609: INFO @log_variables: train age_confidence/accuracy mean: 0.500723 2021-06-10 17:49:16.609: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:49:16.611: INFO @metrics_hook: train age_mae: 11.247 +-0.175 (13824) 2021-06-10 17:49:16.614: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-06-10 17:49:18.565: INFO @decay_lr : LR updated to `9.7609205e-05` 2021-06-10 17:49:18.567: INFO @log_profile : T train: 17.457350 2021-06-10 17:49:18.567: INFO @log_profile : T read data: 0.271894 2021-06-10 17:49:18.567: INFO @log_profile : T hooks: 2.608715 2021-06-10 17:49:18.567: INFO @main_loop : Epoch 224 done 2021-06-10 17:49:18.567: INFO @main_loop : Training epoch 225 2021-06-10 17:49:36.877: INFO @log_variables: train loss nanmean: 1.892671 2021-06-10 17:49:36.877: INFO @log_variables: train age_loss mean: 1.023090 2021-06-10 17:49:36.877: INFO @log_variables: train gender_loss mean: 0.384202 2021-06-10 17:49:36.877: INFO @log_variables: train age_mae mean: 11.337061 2021-06-10 17:49:36.878: INFO @log_variables: train gender_accuracy mean: 0.829065 2021-06-10 17:49:36.878: INFO @log_variables: train artificial_age_loss mean: 0.266503 2021-06-10 17:49:36.878: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:49:36.878: INFO @log_variables: train gender_confidence/accuracy mean: 0.323134 2021-06-10 17:49:36.878: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:49:36.878: INFO @log_variables: train age_confidence/accuracy mean: 0.506221 2021-06-10 17:49:36.878: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:49:36.880: INFO @metrics_hook: train age_mae: 11.337 +-0.176 (13824) 2021-06-10 17:49:36.882: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-06-10 17:49:38.961: INFO @decay_lr : LR updated to `9.7121156e-05` 2021-06-10 17:49:38.962: INFO @log_profile : T train: 17.325814 2021-06-10 17:49:38.962: INFO @log_profile : T read data: 0.269712 2021-06-10 17:49:38.962: INFO @log_profile : T hooks: 2.750273 2021-06-10 17:49:38.962: INFO @main_loop : Epoch 225 done 2021-06-10 17:49:38.962: INFO @main_loop : Training epoch 226 2021-06-10 17:49:57.355: INFO @log_variables: train loss nanmean: 1.875071 2021-06-10 17:49:57.355: INFO @log_variables: train age_loss mean: 1.033437 2021-06-10 17:49:57.355: INFO @log_variables: train gender_loss mean: 0.389856 2021-06-10 17:49:57.355: INFO @log_variables: train age_mae mean: 11.418618 2021-06-10 17:49:57.355: INFO @log_variables: train gender_accuracy mean: 0.826087 2021-06-10 17:49:57.356: INFO @log_variables: train artificial_age_loss mean: 0.268568 2021-06-10 17:49:57.356: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:49:57.356: INFO @log_variables: train gender_confidence/accuracy mean: 0.326232 2021-06-10 17:49:57.356: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:49:57.356: INFO @log_variables: train age_confidence/accuracy mean: 0.517609 2021-06-10 17:49:57.356: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:49:57.358: INFO @metrics_hook: train age_mae: 11.419 +-0.176 (13800) 2021-06-10 17:49:57.360: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13800) 2021-06-10 17:49:59.362: INFO @decay_lr : LR updated to `9.663555e-05` 2021-06-10 17:49:59.363: INFO @log_profile : T train: 17.286561 2021-06-10 17:49:59.363: INFO @log_profile : T read data: 0.421364 2021-06-10 17:49:59.363: INFO @log_profile : T hooks: 2.644537 2021-06-10 17:49:59.363: INFO @main_loop : Epoch 226 done 2021-06-10 17:49:59.363: INFO @main_loop : Training epoch 227 2021-06-10 17:50:17.642: INFO @log_variables: train loss nanmean: 1.860748 2021-06-10 17:50:17.643: INFO @log_variables: train age_loss mean: 1.020540 2021-06-10 17:50:17.643: INFO @log_variables: train gender_loss mean: 0.374322 2021-06-10 17:50:17.643: INFO @log_variables: train age_mae mean: 11.308789 2021-06-10 17:50:17.643: INFO @log_variables: train gender_accuracy mean: 0.831525 2021-06-10 17:50:17.643: INFO @log_variables: train artificial_age_loss mean: 0.269107 2021-06-10 17:50:17.643: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:50:17.643: INFO @log_variables: train gender_confidence/accuracy mean: 0.320312 2021-06-10 17:50:17.643: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:50:17.643: INFO @log_variables: train age_confidence/accuracy mean: 0.503906 2021-06-10 17:50:17.643: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:50:17.646: INFO @metrics_hook: train age_mae: 11.309 +-0.173 (13824) 2021-06-10 17:50:17.648: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-06-10 17:50:19.677: INFO @decay_lr : LR updated to `9.615238e-05` 2021-06-10 17:50:19.678: INFO @log_profile : T train: 17.326922 2021-06-10 17:50:19.678: INFO @log_profile : T read data: 0.260636 2021-06-10 17:50:19.678: INFO @log_profile : T hooks: 2.678596 2021-06-10 17:50:19.678: INFO @main_loop : Epoch 227 done 2021-06-10 17:50:19.678: INFO @main_loop : Training epoch 228 2021-06-10 17:50:38.116: INFO @log_variables: train loss nanmean: 1.849447 2021-06-10 17:50:38.116: INFO @log_variables: train age_loss mean: 1.028767 2021-06-10 17:50:38.117: INFO @log_variables: train gender_loss mean: 0.373448 2021-06-10 17:50:38.117: INFO @log_variables: train age_mae mean: 11.386733 2021-06-10 17:50:38.117: INFO @log_variables: train gender_accuracy mean: 0.829789 2021-06-10 17:50:38.117: INFO @log_variables: train artificial_age_loss mean: 0.269308 2021-06-10 17:50:38.117: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:50:38.117: INFO @log_variables: train gender_confidence/accuracy mean: 0.330150 2021-06-10 17:50:38.117: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:50:38.117: INFO @log_variables: train age_confidence/accuracy mean: 0.514323 2021-06-10 17:50:38.117: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:50:38.119: INFO @metrics_hook: train age_mae: 11.387 +-0.175 (13824) 2021-06-10 17:50:38.120: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-06-10 17:50:40.089: INFO @decay_lr : LR updated to `9.567162e-05` 2021-06-10 17:50:40.090: INFO @log_profile : T train: 17.488762 2021-06-10 17:50:40.090: INFO @log_profile : T read data: 0.264064 2021-06-10 17:50:40.090: INFO @log_profile : T hooks: 2.610238 2021-06-10 17:50:40.090: INFO @main_loop : Epoch 228 done 2021-06-10 17:50:40.090: INFO @main_loop : Training epoch 229 2021-06-10 17:50:58.236: INFO @log_variables: train loss nanmean: 1.879772 2021-06-10 17:50:58.237: INFO @log_variables: train age_loss mean: 1.032921 2021-06-10 17:50:58.237: INFO @log_variables: train gender_loss mean: 0.384847 2021-06-10 17:50:58.237: INFO @log_variables: train age_mae mean: 11.434887 2021-06-10 17:50:58.237: INFO @log_variables: train gender_accuracy mean: 0.822180 2021-06-10 17:50:58.237: INFO @log_variables: train artificial_age_loss mean: 0.270320 2021-06-10 17:50:58.237: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:50:58.237: INFO @log_variables: train gender_confidence/accuracy mean: 0.330898 2021-06-10 17:50:58.237: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:50:58.237: INFO @log_variables: train age_confidence/accuracy mean: 0.512407 2021-06-10 17:50:58.237: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:50:58.239: INFO @metrics_hook: train age_mae: 11.435 +-0.176 (13823) 2021-06-10 17:50:58.241: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13823) 2021-06-10 17:51:00.164: INFO @decay_lr : LR updated to `9.519326e-05` 2021-06-10 17:51:00.165: INFO @log_profile : T train: 17.211221 2021-06-10 17:51:00.165: INFO @log_profile : T read data: 0.264386 2021-06-10 17:51:00.165: INFO @log_profile : T hooks: 2.551546 2021-06-10 17:51:00.165: INFO @main_loop : Epoch 229 done 2021-06-10 17:51:00.166: INFO @main_loop : Training epoch 230 2021-06-10 17:51:18.628: INFO @log_variables: train loss nanmean: 1.862351 2021-06-10 17:51:18.628: INFO @log_variables: train age_loss mean: 1.019286 2021-06-10 17:51:18.628: INFO @log_variables: train gender_loss mean: 0.369735 2021-06-10 17:51:18.628: INFO @log_variables: train age_mae mean: 11.293375 2021-06-10 17:51:18.628: INFO @log_variables: train gender_accuracy mean: 0.835362 2021-06-10 17:51:18.628: INFO @log_variables: train artificial_age_loss mean: 0.269084 2021-06-10 17:51:18.629: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:51:18.629: INFO @log_variables: train gender_confidence/accuracy mean: 0.316667 2021-06-10 17:51:18.629: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:51:18.629: INFO @log_variables: train age_confidence/accuracy mean: 0.508913 2021-06-10 17:51:18.629: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:51:18.631: INFO @metrics_hook: train age_mae: 11.293 +-0.174 (13800) 2021-06-10 17:51:18.633: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13800) 2021-06-10 17:51:20.644: INFO @decay_lr : LR updated to `9.4717296e-05` 2021-06-10 17:51:20.645: INFO @log_profile : T train: 17.346896 2021-06-10 17:51:20.645: INFO @log_profile : T read data: 0.423918 2021-06-10 17:51:20.645: INFO @log_profile : T hooks: 2.660168 2021-06-10 17:51:20.645: INFO @main_loop : Epoch 230 done 2021-06-10 17:51:20.646: INFO @main_loop : Training epoch 231 2021-06-10 17:51:39.125: INFO @log_variables: train loss nanmean: 1.839996 2021-06-10 17:51:39.125: INFO @log_variables: train age_loss mean: 1.022492 2021-06-10 17:51:39.125: INFO @log_variables: train gender_loss mean: 0.372540 2021-06-10 17:51:39.125: INFO @log_variables: train age_mae mean: 11.328373 2021-06-10 17:51:39.125: INFO @log_variables: train gender_accuracy mean: 0.831380 2021-06-10 17:51:39.125: INFO @log_variables: train artificial_age_loss mean: 0.269004 2021-06-10 17:51:39.126: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:51:39.126: INFO @log_variables: train gender_confidence/accuracy mean: 0.320457 2021-06-10 17:51:39.126: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:51:39.126: INFO @log_variables: train age_confidence/accuracy mean: 0.514251 2021-06-10 17:51:39.126: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:51:39.128: INFO @metrics_hook: train age_mae: 11.328 +-0.175 (13824) 2021-06-10 17:51:39.130: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-06-10 17:51:41.122: INFO @decay_lr : LR updated to `9.424371e-05` 2021-06-10 17:51:41.123: INFO @log_profile : T train: 17.501056 2021-06-10 17:51:41.123: INFO @log_profile : T read data: 0.268909 2021-06-10 17:51:41.123: INFO @log_profile : T hooks: 2.658794 2021-06-10 17:51:41.123: INFO @main_loop : Epoch 231 done 2021-06-10 17:51:41.123: INFO @main_loop : Training epoch 232 2021-06-10 17:51:59.665: INFO @log_variables: train loss nanmean: 1.847204 2021-06-10 17:51:59.665: INFO @log_variables: train age_loss mean: 1.009541 2021-06-10 17:51:59.666: INFO @log_variables: train gender_loss mean: 0.375915 2021-06-10 17:51:59.666: INFO @log_variables: train age_mae mean: 11.205983 2021-06-10 17:51:59.666: INFO @log_variables: train gender_accuracy mean: 0.831887 2021-06-10 17:51:59.666: INFO @log_variables: train artificial_age_loss mean: 0.269148 2021-06-10 17:51:59.666: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:51:59.666: INFO @log_variables: train gender_confidence/accuracy mean: 0.324797 2021-06-10 17:51:59.666: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:51:59.666: INFO @log_variables: train age_confidence/accuracy mean: 0.507306 2021-06-10 17:51:59.666: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:51:59.668: INFO @metrics_hook: train age_mae: 11.206 +-0.172 (13824) 2021-06-10 17:51:59.670: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-06-10 17:52:01.680: INFO @decay_lr : LR updated to `9.377249e-05` 2021-06-10 17:52:01.681: INFO @log_profile : T train: 17.568225 2021-06-10 17:52:01.681: INFO @log_profile : T read data: 0.267632 2021-06-10 17:52:01.681: INFO @log_profile : T hooks: 2.672957 2021-06-10 17:52:01.681: INFO @main_loop : Epoch 232 done 2021-06-10 17:52:01.681: INFO @main_loop : Training epoch 233 2021-06-10 17:52:20.077: INFO @log_variables: train loss nanmean: 1.892510 2021-06-10 17:52:20.077: INFO @log_variables: train age_loss mean: 1.018893 2021-06-10 17:52:20.077: INFO @log_variables: train gender_loss mean: 0.387530 2021-06-10 17:52:20.077: INFO @log_variables: train age_mae mean: 11.301085 2021-06-10 17:52:20.077: INFO @log_variables: train gender_accuracy mean: 0.824725 2021-06-10 17:52:20.078: INFO @log_variables: train artificial_age_loss mean: 0.268201 2021-06-10 17:52:20.078: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:52:20.078: INFO @log_variables: train gender_confidence/accuracy mean: 0.333840 2021-06-10 17:52:20.078: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:52:20.078: INFO @log_variables: train age_confidence/accuracy mean: 0.505064 2021-06-10 17:52:20.078: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:52:20.079: INFO @metrics_hook: train age_mae: 11.301 +-0.174 (13824) 2021-06-10 17:52:20.080: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13824) 2021-06-10 17:52:22.087: INFO @decay_lr : LR updated to `9.330363e-05` 2021-06-10 17:52:22.088: INFO @log_profile : T train: 17.446018 2021-06-10 17:52:22.088: INFO @log_profile : T read data: 0.263648 2021-06-10 17:52:22.088: INFO @log_profile : T hooks: 2.648886 2021-06-10 17:52:22.088: INFO @main_loop : Epoch 233 done 2021-06-10 17:52:22.088: INFO @main_loop : Training epoch 234 2021-06-10 17:52:40.618: INFO @log_variables: train loss nanmean: 1.873401 2021-06-10 17:52:40.618: INFO @log_variables: train age_loss mean: 1.024224 2021-06-10 17:52:40.618: INFO @log_variables: train gender_loss mean: 0.377542 2021-06-10 17:52:40.618: INFO @log_variables: train age_mae mean: 11.346254 2021-06-10 17:52:40.618: INFO @log_variables: train gender_accuracy mean: 0.828261 2021-06-10 17:52:40.618: INFO @log_variables: train artificial_age_loss mean: 0.268327 2021-06-10 17:52:40.618: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:52:40.618: INFO @log_variables: train gender_confidence/accuracy mean: 0.332464 2021-06-10 17:52:40.618: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:52:40.618: INFO @log_variables: train age_confidence/accuracy mean: 0.508623 2021-06-10 17:52:40.619: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:52:40.621: INFO @metrics_hook: train age_mae: 11.346 +-0.173 (13800) 2021-06-10 17:52:40.623: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13800) 2021-06-10 17:52:42.601: INFO @decay_lr : LR updated to `9.283711e-05` 2021-06-10 17:52:42.603: INFO @log_profile : T train: 17.405471 2021-06-10 17:52:42.603: INFO @log_profile : T read data: 0.405506 2021-06-10 17:52:42.603: INFO @log_profile : T hooks: 2.654807 2021-06-10 17:52:42.603: INFO @main_loop : Epoch 234 done 2021-06-10 17:52:42.603: INFO @main_loop : Training epoch 235 2021-06-10 17:53:00.989: INFO @log_variables: train loss nanmean: 1.878181 2021-06-10 17:53:00.989: INFO @log_variables: train age_loss mean: 1.003899 2021-06-10 17:53:00.989: INFO @log_variables: train gender_loss mean: 0.384996 2021-06-10 17:53:00.989: INFO @log_variables: train age_mae mean: 11.173249 2021-06-10 17:53:00.989: INFO @log_variables: train gender_accuracy mean: 0.825810 2021-06-10 17:53:00.990: INFO @log_variables: train artificial_age_loss mean: 0.270025 2021-06-10 17:53:00.990: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:53:00.990: INFO @log_variables: train gender_confidence/accuracy mean: 0.324002 2021-06-10 17:53:00.990: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:53:00.990: INFO @log_variables: train age_confidence/accuracy mean: 0.507595 2021-06-10 17:53:00.990: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:53:00.993: INFO @metrics_hook: train age_mae: 11.173 +-0.174 (13824) 2021-06-10 17:53:00.996: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-06-10 17:53:02.905: INFO @decay_lr : LR updated to `9.2372924e-05` 2021-06-10 17:53:02.906: INFO @log_profile : T train: 17.420933 2021-06-10 17:53:02.907: INFO @log_profile : T read data: 0.267422 2021-06-10 17:53:02.907: INFO @log_profile : T hooks: 2.565346 2021-06-10 17:53:02.907: INFO @main_loop : Epoch 235 done 2021-06-10 17:53:02.907: INFO @main_loop : Training epoch 236 2021-06-10 17:53:21.298: INFO @log_variables: train loss nanmean: 1.870238 2021-06-10 17:53:21.298: INFO @log_variables: train age_loss mean: 1.002492 2021-06-10 17:53:21.298: INFO @log_variables: train gender_loss mean: 0.381893 2021-06-10 17:53:21.298: INFO @log_variables: train age_mae mean: 11.158802 2021-06-10 17:53:21.298: INFO @log_variables: train gender_accuracy mean: 0.826244 2021-06-10 17:53:21.298: INFO @log_variables: train artificial_age_loss mean: 0.268568 2021-06-10 17:53:21.298: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:53:21.299: INFO @log_variables: train gender_confidence/accuracy mean: 0.328631 2021-06-10 17:53:21.299: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:53:21.299: INFO @log_variables: train age_confidence/accuracy mean: 0.507017 2021-06-10 17:53:21.299: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:53:21.301: INFO @metrics_hook: train age_mae: 11.159 +-0.172 (13824) 2021-06-10 17:53:21.303: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-06-10 17:53:23.347: INFO @decay_lr : LR updated to `9.191106e-05` 2021-06-10 17:53:23.348: INFO @log_profile : T train: 17.415990 2021-06-10 17:53:23.348: INFO @log_profile : T read data: 0.266092 2021-06-10 17:53:23.348: INFO @log_profile : T hooks: 2.710101 2021-06-10 17:53:23.348: INFO @main_loop : Epoch 236 done 2021-06-10 17:53:23.348: INFO @main_loop : Training epoch 237 2021-06-10 17:53:41.903: INFO @log_variables: train loss nanmean: 1.836047 2021-06-10 17:53:41.903: INFO @log_variables: train age_loss mean: 1.006953 2021-06-10 17:53:41.903: INFO @log_variables: train gender_loss mean: 0.381027 2021-06-10 17:53:41.903: INFO @log_variables: train age_mae mean: 11.177635 2021-06-10 17:53:41.904: INFO @log_variables: train gender_accuracy mean: 0.830512 2021-06-10 17:53:41.904: INFO @log_variables: train artificial_age_loss mean: 0.270474 2021-06-10 17:53:41.904: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:53:41.904: INFO @log_variables: train gender_confidence/accuracy mean: 0.327546 2021-06-10 17:53:41.904: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:53:41.904: INFO @log_variables: train age_confidence/accuracy mean: 0.513021 2021-06-10 17:53:41.904: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:53:41.906: INFO @metrics_hook: train age_mae: 11.178 +-0.172 (13824) 2021-06-10 17:53:41.908: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-06-10 17:53:43.826: INFO @decay_lr : LR updated to `9.1451504e-05` 2021-06-10 17:53:43.828: INFO @log_profile : T train: 17.572884 2021-06-10 17:53:43.828: INFO @log_profile : T read data: 0.265225 2021-06-10 17:53:43.828: INFO @log_profile : T hooks: 2.592316 2021-06-10 17:53:43.828: INFO @main_loop : Epoch 237 done 2021-06-10 17:53:43.828: INFO @main_loop : Training epoch 238 2021-06-10 17:54:02.370: INFO @log_variables: train loss nanmean: 1.847298 2021-06-10 17:54:02.370: INFO @log_variables: train age_loss mean: 1.006412 2021-06-10 17:54:02.370: INFO @log_variables: train gender_loss mean: 0.372096 2021-06-10 17:54:02.370: INFO @log_variables: train age_mae mean: 11.182365 2021-06-10 17:54:02.370: INFO @log_variables: train gender_accuracy mean: 0.831232 2021-06-10 17:54:02.370: INFO @log_variables: train artificial_age_loss mean: 0.269874 2021-06-10 17:54:02.370: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:54:02.370: INFO @log_variables: train gender_confidence/accuracy mean: 0.323986 2021-06-10 17:54:02.370: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:54:02.370: INFO @log_variables: train age_confidence/accuracy mean: 0.500652 2021-06-10 17:54:02.371: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:54:02.372: INFO @metrics_hook: train age_mae: 11.182 +-0.174 (13800) 2021-06-10 17:54:02.374: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13800) 2021-06-10 17:54:04.379: INFO @decay_lr : LR updated to `9.099425e-05` 2021-06-10 17:54:04.380: INFO @log_profile : T train: 17.385615 2021-06-10 17:54:04.380: INFO @log_profile : T read data: 0.446090 2021-06-10 17:54:04.380: INFO @log_profile : T hooks: 2.671432 2021-06-10 17:54:04.380: INFO @main_loop : Epoch 238 done 2021-06-10 17:54:04.380: INFO @main_loop : Training epoch 239 2021-06-10 17:54:22.669: INFO @log_variables: train loss nanmean: 1.900904 2021-06-10 17:54:22.669: INFO @log_variables: train age_loss mean: 1.031001 2021-06-10 17:54:22.670: INFO @log_variables: train gender_loss mean: 0.380633 2021-06-10 17:54:22.670: INFO @log_variables: train age_mae mean: 11.404792 2021-06-10 17:54:22.670: INFO @log_variables: train gender_accuracy mean: 0.827329 2021-06-10 17:54:22.670: INFO @log_variables: train artificial_age_loss mean: 0.271509 2021-06-10 17:54:22.670: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:54:22.670: INFO @log_variables: train gender_confidence/accuracy mean: 0.329644 2021-06-10 17:54:22.670: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:54:22.670: INFO @log_variables: train age_confidence/accuracy mean: 0.501519 2021-06-10 17:54:22.670: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:54:22.672: INFO @metrics_hook: train age_mae: 11.405 +-0.175 (13824) 2021-06-10 17:54:22.674: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-06-10 17:54:24.687: INFO @decay_lr : LR updated to `9.053927e-05` 2021-06-10 17:54:24.688: INFO @log_profile : T train: 17.337162 2021-06-10 17:54:24.688: INFO @log_profile : T read data: 0.264812 2021-06-10 17:54:24.688: INFO @log_profile : T hooks: 2.657363 2021-06-10 17:54:24.688: INFO @main_loop : Epoch 239 done 2021-06-10 17:54:24.688: INFO @main_loop : Training epoch 240 2021-06-10 17:54:42.923: INFO @log_variables: train loss nanmean: 1.867573 2021-06-10 17:54:42.924: INFO @log_variables: train age_loss mean: 1.033366 2021-06-10 17:54:42.924: INFO @log_variables: train gender_loss mean: 0.378862 2021-06-10 17:54:42.924: INFO @log_variables: train age_mae mean: 11.437236 2021-06-10 17:54:42.924: INFO @log_variables: train gender_accuracy mean: 0.824291 2021-06-10 17:54:42.924: INFO @log_variables: train artificial_age_loss mean: 0.268490 2021-06-10 17:54:42.924: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:54:42.924: INFO @log_variables: train gender_confidence/accuracy mean: 0.331163 2021-06-10 17:54:42.924: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:54:42.924: INFO @log_variables: train age_confidence/accuracy mean: 0.507595 2021-06-10 17:54:42.924: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:54:42.926: INFO @metrics_hook: train age_mae: 11.437 +-0.176 (13824) 2021-06-10 17:54:42.928: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13824) 2021-06-10 17:54:44.859: INFO @decay_lr : LR updated to `9.008658e-05` 2021-06-10 17:54:44.861: INFO @log_profile : T train: 17.293523 2021-06-10 17:54:44.861: INFO @log_profile : T read data: 0.266860 2021-06-10 17:54:44.861: INFO @log_profile : T hooks: 2.564521 2021-06-10 17:54:44.861: INFO @main_loop : Epoch 240 done 2021-06-10 17:54:44.861: INFO @main_loop : Training epoch 241 2021-06-10 17:55:03.267: INFO @log_variables: train loss nanmean: 1.827296 2021-06-10 17:55:03.268: INFO @log_variables: train age_loss mean: 1.009248 2021-06-10 17:55:03.268: INFO @log_variables: train gender_loss mean: 0.375559 2021-06-10 17:55:03.268: INFO @log_variables: train age_mae mean: 11.191339 2021-06-10 17:55:03.268: INFO @log_variables: train gender_accuracy mean: 0.830223 2021-06-10 17:55:03.268: INFO @log_variables: train artificial_age_loss mean: 0.270918 2021-06-10 17:55:03.268: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:55:03.268: INFO @log_variables: train gender_confidence/accuracy mean: 0.329499 2021-06-10 17:55:03.268: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:55:03.268: INFO @log_variables: train age_confidence/accuracy mean: 0.517072 2021-06-10 17:55:03.269: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:55:03.270: INFO @metrics_hook: train age_mae: 11.191 +-0.172 (13824) 2021-06-10 17:55:03.273: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-06-10 17:55:05.317: INFO @decay_lr : LR updated to `8.9636145e-05` 2021-06-10 17:55:05.318: INFO @log_profile : T train: 17.439346 2021-06-10 17:55:05.318: INFO @log_profile : T read data: 0.270707 2021-06-10 17:55:05.318: INFO @log_profile : T hooks: 2.698542 2021-06-10 17:55:05.318: INFO @main_loop : Epoch 241 done 2021-06-10 17:55:05.318: INFO @main_loop : Training epoch 242 2021-06-10 17:55:24.030: INFO @log_variables: train loss nanmean: 1.836056 2021-06-10 17:55:24.030: INFO @log_variables: train age_loss mean: 1.007397 2021-06-10 17:55:24.030: INFO @log_variables: train gender_loss mean: 0.380433 2021-06-10 17:55:24.030: INFO @log_variables: train age_mae mean: 11.192747 2021-06-10 17:55:24.031: INFO @log_variables: train gender_accuracy mean: 0.827101 2021-06-10 17:55:24.031: INFO @log_variables: train artificial_age_loss mean: 0.268957 2021-06-10 17:55:24.031: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:55:24.031: INFO @log_variables: train gender_confidence/accuracy mean: 0.332174 2021-06-10 17:55:24.031: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:55:24.031: INFO @log_variables: train age_confidence/accuracy mean: 0.517391 2021-06-10 17:55:24.031: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:55:24.033: INFO @metrics_hook: train age_mae: 11.193 +-0.172 (13800) 2021-06-10 17:55:24.035: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13800) 2021-06-10 17:55:26.052: INFO @decay_lr : LR updated to `8.918797e-05` 2021-06-10 17:55:26.053: INFO @log_profile : T train: 17.560984 2021-06-10 17:55:26.053: INFO @log_profile : T read data: 0.442469 2021-06-10 17:55:26.053: INFO @log_profile : T hooks: 2.682315 2021-06-10 17:55:26.053: INFO @main_loop : Epoch 242 done 2021-06-10 17:55:26.053: INFO @main_loop : Training epoch 243 2021-06-10 17:55:44.575: INFO @log_variables: train loss nanmean: 1.835119 2021-06-10 17:55:44.575: INFO @log_variables: train age_loss mean: 1.000362 2021-06-10 17:55:44.575: INFO @log_variables: train gender_loss mean: 0.371857 2021-06-10 17:55:44.575: INFO @log_variables: train age_mae mean: 11.132570 2021-06-10 17:55:44.575: INFO @log_variables: train gender_accuracy mean: 0.833695 2021-06-10 17:55:44.575: INFO @log_variables: train artificial_age_loss mean: 0.269089 2021-06-10 17:55:44.575: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:55:44.575: INFO @log_variables: train gender_confidence/accuracy mean: 0.327329 2021-06-10 17:55:44.575: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:55:44.575: INFO @log_variables: train age_confidence/accuracy mean: 0.512876 2021-06-10 17:55:44.576: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:55:44.578: INFO @metrics_hook: train age_mae: 11.133 +-0.173 (13824) 2021-06-10 17:55:44.580: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-06-10 17:55:46.600: INFO @decay_lr : LR updated to `8.8742025e-05` 2021-06-10 17:55:46.601: INFO @log_profile : T train: 17.562289 2021-06-10 17:55:46.601: INFO @log_profile : T read data: 0.265266 2021-06-10 17:55:46.601: INFO @log_profile : T hooks: 2.670790 2021-06-10 17:55:46.601: INFO @main_loop : Epoch 243 done 2021-06-10 17:55:46.601: INFO @main_loop : Training epoch 244 2021-06-10 17:56:05.155: INFO @log_variables: train loss nanmean: 1.886798 2021-06-10 17:56:05.155: INFO @log_variables: train age_loss mean: 1.017889 2021-06-10 17:56:05.155: INFO @log_variables: train gender_loss mean: 0.376886 2021-06-10 17:56:05.155: INFO @log_variables: train age_mae mean: 11.293061 2021-06-10 17:56:05.155: INFO @log_variables: train gender_accuracy mean: 0.826823 2021-06-10 17:56:05.155: INFO @log_variables: train artificial_age_loss mean: 0.270136 2021-06-10 17:56:05.155: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:56:05.155: INFO @log_variables: train gender_confidence/accuracy mean: 0.331163 2021-06-10 17:56:05.155: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:56:05.155: INFO @log_variables: train age_confidence/accuracy mean: 0.511140 2021-06-10 17:56:05.156: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:56:05.158: INFO @metrics_hook: train age_mae: 11.293 +-0.174 (13824) 2021-06-10 17:56:05.159: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-06-10 17:56:07.166: INFO @decay_lr : LR updated to `8.8298315e-05` 2021-06-10 17:56:07.167: INFO @log_profile : T train: 17.600402 2021-06-10 17:56:07.167: INFO @log_profile : T read data: 0.265739 2021-06-10 17:56:07.167: INFO @log_profile : T hooks: 2.652197 2021-06-10 17:56:07.167: INFO @main_loop : Epoch 244 done 2021-06-10 17:56:07.167: INFO @main_loop : Training epoch 245 2021-06-10 17:56:25.505: INFO @log_variables: train loss nanmean: 1.831527 2021-06-10 17:56:25.505: INFO @log_variables: train age_loss mean: 1.006784 2021-06-10 17:56:25.505: INFO @log_variables: train gender_loss mean: 0.373094 2021-06-10 17:56:25.505: INFO @log_variables: train age_mae mean: 11.183555 2021-06-10 17:56:25.505: INFO @log_variables: train gender_accuracy mean: 0.833261 2021-06-10 17:56:25.505: INFO @log_variables: train artificial_age_loss mean: 0.270537 2021-06-10 17:56:25.505: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:56:25.505: INFO @log_variables: train gender_confidence/accuracy mean: 0.326100 2021-06-10 17:56:25.505: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:56:25.506: INFO @log_variables: train age_confidence/accuracy mean: 0.506004 2021-06-10 17:56:25.506: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:56:25.508: INFO @metrics_hook: train age_mae: 11.184 +-0.175 (13824) 2021-06-10 17:56:25.509: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-06-10 17:56:27.501: INFO @decay_lr : LR updated to `8.7856824e-05` 2021-06-10 17:56:27.502: INFO @log_profile : T train: 17.391125 2021-06-10 17:56:27.502: INFO @log_profile : T read data: 0.265744 2021-06-10 17:56:27.502: INFO @log_profile : T hooks: 2.630138 2021-06-10 17:56:27.502: INFO @main_loop : Epoch 245 done 2021-06-10 17:56:27.502: INFO @main_loop : Training epoch 246 2021-06-10 17:56:46.027: INFO @log_variables: train loss nanmean: 1.835516 2021-06-10 17:56:46.028: INFO @log_variables: train age_loss mean: 0.995550 2021-06-10 17:56:46.028: INFO @log_variables: train gender_loss mean: 0.372097 2021-06-10 17:56:46.028: INFO @log_variables: train age_mae mean: 11.068916 2021-06-10 17:56:46.028: INFO @log_variables: train gender_accuracy mean: 0.836208 2021-06-10 17:56:46.028: INFO @log_variables: train artificial_age_loss mean: 0.268265 2021-06-10 17:56:46.028: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:56:46.028: INFO @log_variables: train gender_confidence/accuracy mean: 0.314103 2021-06-10 17:56:46.028: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:56:46.028: INFO @log_variables: train age_confidence/accuracy mean: 0.511161 2021-06-10 17:56:46.028: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:56:46.030: INFO @metrics_hook: train age_mae: 11.069 +-0.173 (13798) 2021-06-10 17:56:46.033: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13798) 2021-06-10 17:56:47.978: INFO @decay_lr : LR updated to `8.741754e-05` 2021-06-10 17:56:47.979: INFO @log_profile : T train: 17.402591 2021-06-10 17:56:47.979: INFO @log_profile : T read data: 0.411372 2021-06-10 17:56:47.979: INFO @log_profile : T hooks: 2.613724 2021-06-10 17:56:47.980: INFO @main_loop : Epoch 246 done 2021-06-10 17:56:47.980: INFO @main_loop : Training epoch 247 2021-06-10 17:57:06.244: INFO @log_variables: train loss nanmean: 1.855712 2021-06-10 17:57:06.244: INFO @log_variables: train age_loss mean: 1.001260 2021-06-10 17:57:06.244: INFO @log_variables: train gender_loss mean: 0.370563 2021-06-10 17:57:06.244: INFO @log_variables: train age_mae mean: 11.134449 2021-06-10 17:57:06.245: INFO @log_variables: train gender_accuracy mean: 0.832755 2021-06-10 17:57:06.245: INFO @log_variables: train artificial_age_loss mean: 0.266972 2021-06-10 17:57:06.245: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:57:06.245: INFO @log_variables: train gender_confidence/accuracy mean: 0.318649 2021-06-10 17:57:06.245: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:57:06.245: INFO @log_variables: train age_confidence/accuracy mean: 0.503328 2021-06-10 17:57:06.245: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:57:06.247: INFO @metrics_hook: train age_mae: 11.134 +-0.172 (13824) 2021-06-10 17:57:06.249: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-06-10 17:57:08.196: INFO @decay_lr : LR updated to `8.698045e-05` 2021-06-10 17:57:08.197: INFO @log_profile : T train: 17.316311 2021-06-10 17:57:08.197: INFO @log_profile : T read data: 0.261002 2021-06-10 17:57:08.197: INFO @log_profile : T hooks: 2.591740 2021-06-10 17:57:08.197: INFO @main_loop : Epoch 247 done 2021-06-10 17:57:08.197: INFO @main_loop : Training epoch 248 2021-06-10 17:57:26.463: INFO @log_variables: train loss nanmean: 1.834920 2021-06-10 17:57:26.463: INFO @log_variables: train age_loss mean: 1.021997 2021-06-10 17:57:26.463: INFO @log_variables: train gender_loss mean: 0.370931 2021-06-10 17:57:26.463: INFO @log_variables: train age_mae mean: 11.340446 2021-06-10 17:57:26.463: INFO @log_variables: train gender_accuracy mean: 0.836878 2021-06-10 17:57:26.463: INFO @log_variables: train artificial_age_loss mean: 0.270202 2021-06-10 17:57:26.463: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:57:26.463: INFO @log_variables: train gender_confidence/accuracy mean: 0.314598 2021-06-10 17:57:26.463: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:57:26.464: INFO @log_variables: train age_confidence/accuracy mean: 0.504340 2021-06-10 17:57:26.464: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:57:26.465: INFO @metrics_hook: train age_mae: 11.340 +-0.176 (13824) 2021-06-10 17:57:26.467: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-06-10 17:57:28.535: INFO @decay_lr : LR updated to `8.6545544e-05` 2021-06-10 17:57:28.536: INFO @log_profile : T train: 17.324238 2021-06-10 17:57:28.536: INFO @log_profile : T read data: 0.259138 2021-06-10 17:57:28.536: INFO @log_profile : T hooks: 2.705794 2021-06-10 17:57:28.536: INFO @main_loop : Epoch 248 done 2021-06-10 17:57:28.536: INFO @main_loop : Training epoch 249 2021-06-10 17:57:46.887: INFO @log_variables: train loss nanmean: 1.844279 2021-06-10 17:57:46.887: INFO @log_variables: train age_loss mean: 1.009429 2021-06-10 17:57:46.887: INFO @log_variables: train gender_loss mean: 0.374544 2021-06-10 17:57:46.887: INFO @log_variables: train age_mae mean: 11.214720 2021-06-10 17:57:46.887: INFO @log_variables: train gender_accuracy mean: 0.827112 2021-06-10 17:57:46.888: INFO @log_variables: train artificial_age_loss mean: 0.271506 2021-06-10 17:57:46.888: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:57:46.888: INFO @log_variables: train gender_confidence/accuracy mean: 0.322049 2021-06-10 17:57:46.888: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:57:46.888: INFO @log_variables: train age_confidence/accuracy mean: 0.518301 2021-06-10 17:57:46.888: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:57:46.890: INFO @metrics_hook: train age_mae: 11.215 +-0.172 (13824) 2021-06-10 17:57:46.892: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-06-10 17:57:48.847: INFO @decay_lr : LR updated to `8.6112814e-05` 2021-06-10 17:57:48.849: INFO @log_profile : T train: 17.398339 2021-06-10 17:57:48.849: INFO @log_profile : T read data: 0.261885 2021-06-10 17:57:48.849: INFO @log_profile : T hooks: 2.604470 2021-06-10 17:57:48.849: INFO @main_loop : Epoch 249 done 2021-06-10 17:57:48.849: INFO @main_loop : Training epoch 250 2021-06-10 17:58:07.308: INFO @log_variables: train loss nanmean: 1.834691 2021-06-10 17:58:07.308: INFO @log_variables: train age_loss mean: 1.002013 2021-06-10 17:58:07.309: INFO @log_variables: train gender_loss mean: 0.368475 2021-06-10 17:58:07.309: INFO @log_variables: train age_mae mean: 11.150861 2021-06-10 17:58:07.309: INFO @log_variables: train gender_accuracy mean: 0.835652 2021-06-10 17:58:07.309: INFO @log_variables: train artificial_age_loss mean: 0.269266 2021-06-10 17:58:07.309: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:58:07.309: INFO @log_variables: train gender_confidence/accuracy mean: 0.318261 2021-06-10 17:58:07.309: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:58:07.309: INFO @log_variables: train age_confidence/accuracy mean: 0.515870 2021-06-10 17:58:07.309: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:58:07.311: INFO @metrics_hook: train age_mae: 11.151 +-0.171 (13800) 2021-06-10 17:58:07.313: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13800) 2021-06-10 17:58:09.267: INFO @decay_lr : LR updated to `8.568225e-05` 2021-06-10 17:58:09.268: INFO @log_profile : T train: 17.356544 2021-06-10 17:58:09.268: INFO @log_profile : T read data: 0.416130 2021-06-10 17:58:09.268: INFO @log_profile : T hooks: 2.598703 2021-06-10 17:58:09.269: INFO @main_loop : Epoch 250 done 2021-06-10 17:58:09.269: INFO @main_loop : Training epoch 251 2021-06-10 17:58:27.608: INFO @log_variables: train loss nanmean: 1.843164 2021-06-10 17:58:27.608: INFO @log_variables: train age_loss mean: 1.019977 2021-06-10 17:58:27.608: INFO @log_variables: train gender_loss mean: 0.367686 2021-06-10 17:58:27.608: INFO @log_variables: train age_mae mean: 11.307829 2021-06-10 17:58:27.608: INFO @log_variables: train gender_accuracy mean: 0.835503 2021-06-10 17:58:27.608: INFO @log_variables: train artificial_age_loss mean: 0.269825 2021-06-10 17:58:27.608: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:58:27.608: INFO @log_variables: train gender_confidence/accuracy mean: 0.321253 2021-06-10 17:58:27.608: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:58:27.609: INFO @log_variables: train age_confidence/accuracy mean: 0.507812 2021-06-10 17:58:27.609: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:58:27.611: INFO @metrics_hook: train age_mae: 11.308 +-0.174 (13824) 2021-06-10 17:58:27.613: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 17:58:29.640: INFO @decay_lr : LR updated to `8.525384e-05` 2021-06-10 17:58:29.641: INFO @log_profile : T train: 17.371865 2021-06-10 17:58:29.641: INFO @log_profile : T read data: 0.264014 2021-06-10 17:58:29.641: INFO @log_profile : T hooks: 2.686979 2021-06-10 17:58:29.641: INFO @main_loop : Epoch 251 done 2021-06-10 17:58:29.641: INFO @main_loop : Training epoch 252 2021-06-10 17:58:48.155: INFO @log_variables: train loss nanmean: 1.859622 2021-06-10 17:58:48.156: INFO @log_variables: train age_loss mean: 0.998489 2021-06-10 17:58:48.156: INFO @log_variables: train gender_loss mean: 0.368425 2021-06-10 17:58:48.156: INFO @log_variables: train age_mae mean: 11.108390 2021-06-10 17:58:48.156: INFO @log_variables: train gender_accuracy mean: 0.832248 2021-06-10 17:58:48.156: INFO @log_variables: train artificial_age_loss mean: 0.269432 2021-06-10 17:58:48.156: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:58:48.156: INFO @log_variables: train gender_confidence/accuracy mean: 0.323061 2021-06-10 17:58:48.156: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:58:48.156: INFO @log_variables: train age_confidence/accuracy mean: 0.516782 2021-06-10 17:58:48.156: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:58:48.157: INFO @metrics_hook: train age_mae: 11.108 +-0.172 (13824) 2021-06-10 17:58:48.159: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-06-10 17:58:50.186: INFO @decay_lr : LR updated to `8.4827574e-05` 2021-06-10 17:58:50.187: INFO @log_profile : T train: 17.530844 2021-06-10 17:58:50.187: INFO @log_profile : T read data: 0.270693 2021-06-10 17:58:50.187: INFO @log_profile : T hooks: 2.694474 2021-06-10 17:58:50.187: INFO @main_loop : Epoch 252 done 2021-06-10 17:58:50.187: INFO @main_loop : Training epoch 253 2021-06-10 17:59:08.487: INFO @log_variables: train loss nanmean: 1.840761 2021-06-10 17:59:08.488: INFO @log_variables: train age_loss mean: 1.016250 2021-06-10 17:59:08.488: INFO @log_variables: train gender_loss mean: 0.373358 2021-06-10 17:59:08.488: INFO @log_variables: train age_mae mean: 11.252235 2021-06-10 17:59:08.488: INFO @log_variables: train gender_accuracy mean: 0.833406 2021-06-10 17:59:08.488: INFO @log_variables: train artificial_age_loss mean: 0.268398 2021-06-10 17:59:08.488: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:59:08.488: INFO @log_variables: train gender_confidence/accuracy mean: 0.325955 2021-06-10 17:59:08.488: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:59:08.488: INFO @log_variables: train age_confidence/accuracy mean: 0.498409 2021-06-10 17:59:08.488: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:59:08.490: INFO @metrics_hook: train age_mae: 11.252 +-0.174 (13824) 2021-06-10 17:59:08.492: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-06-10 17:59:13.592: INFO @decay_lr : LR updated to `8.440344e-05` 2021-06-10 17:59:13.593: INFO @log_profile : T train: 17.351935 2021-06-10 17:59:13.593: INFO @log_profile : T read data: 0.266825 2021-06-10 17:59:13.593: INFO @log_profile : T hooks: 5.739120 2021-06-10 17:59:13.593: INFO @main_loop : Epoch 253 done 2021-06-10 17:59:13.594: INFO @main_loop : Training epoch 254 2021-06-10 17:59:32.031: INFO @log_variables: train loss nanmean: 1.821565 2021-06-10 17:59:32.031: INFO @log_variables: train age_loss mean: 1.001617 2021-06-10 17:59:32.031: INFO @log_variables: train gender_loss mean: 0.373120 2021-06-10 17:59:32.032: INFO @log_variables: train age_mae mean: 11.126187 2021-06-10 17:59:32.032: INFO @log_variables: train gender_accuracy mean: 0.835290 2021-06-10 17:59:32.032: INFO @log_variables: train artificial_age_loss mean: 0.268320 2021-06-10 17:59:32.032: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:59:32.032: INFO @log_variables: train gender_confidence/accuracy mean: 0.318333 2021-06-10 17:59:32.032: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:59:32.032: INFO @log_variables: train age_confidence/accuracy mean: 0.505145 2021-06-10 17:59:32.032: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:59:32.034: INFO @metrics_hook: train age_mae: 11.126 +-0.173 (13800) 2021-06-10 17:59:32.036: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13800) 2021-06-10 17:59:34.082: INFO @decay_lr : LR updated to `8.398142e-05` 2021-06-10 17:59:34.083: INFO @log_profile : T train: 17.318795 2021-06-10 17:59:34.083: INFO @log_profile : T read data: 0.406008 2021-06-10 17:59:34.083: INFO @log_profile : T hooks: 2.717315 2021-06-10 17:59:34.083: INFO @main_loop : Epoch 254 done 2021-06-10 17:59:34.083: INFO @main_loop : Training epoch 255 2021-06-10 17:59:52.294: INFO @log_variables: train loss nanmean: 1.848049 2021-06-10 17:59:52.294: INFO @log_variables: train age_loss mean: 1.019554 2021-06-10 17:59:52.294: INFO @log_variables: train gender_loss mean: 0.370840 2021-06-10 17:59:52.294: INFO @log_variables: train age_mae mean: 11.317437 2021-06-10 17:59:52.294: INFO @log_variables: train gender_accuracy mean: 0.835576 2021-06-10 17:59:52.294: INFO @log_variables: train artificial_age_loss mean: 0.268675 2021-06-10 17:59:52.294: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 17:59:52.294: INFO @log_variables: train gender_confidence/accuracy mean: 0.326027 2021-06-10 17:59:52.294: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 17:59:52.295: INFO @log_variables: train age_confidence/accuracy mean: 0.501085 2021-06-10 17:59:52.295: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 17:59:52.296: INFO @metrics_hook: train age_mae: 11.317 +-0.173 (13824) 2021-06-10 17:59:52.298: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 17:59:54.295: INFO @decay_lr : LR updated to `8.356151e-05` 2021-06-10 17:59:54.297: INFO @log_profile : T train: 17.259315 2021-06-10 17:59:54.297: INFO @log_profile : T read data: 0.273275 2021-06-10 17:59:54.297: INFO @log_profile : T hooks: 2.632373 2021-06-10 17:59:54.297: INFO @main_loop : Epoch 255 done 2021-06-10 17:59:54.297: INFO @main_loop : Training epoch 256 2021-06-10 18:00:12.537: INFO @log_variables: train loss nanmean: 1.829649 2021-06-10 18:00:12.537: INFO @log_variables: train age_loss mean: 1.000068 2021-06-10 18:00:12.538: INFO @log_variables: train gender_loss mean: 0.372032 2021-06-10 18:00:12.538: INFO @log_variables: train age_mae mean: 11.135262 2021-06-10 18:00:12.538: INFO @log_variables: train gender_accuracy mean: 0.835853 2021-06-10 18:00:12.538: INFO @log_variables: train artificial_age_loss mean: 0.267347 2021-06-10 18:00:12.538: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:00:12.538: INFO @log_variables: train gender_confidence/accuracy mean: 0.327642 2021-06-10 18:00:12.538: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:00:12.538: INFO @log_variables: train age_confidence/accuracy mean: 0.501700 2021-06-10 18:00:12.538: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:00:12.540: INFO @metrics_hook: train age_mae: 11.135 +-0.175 (13823) 2021-06-10 18:00:12.542: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13823) 2021-06-10 18:00:14.577: INFO @decay_lr : LR updated to `8.31437e-05` 2021-06-10 18:00:14.578: INFO @log_profile : T train: 17.280139 2021-06-10 18:00:14.578: INFO @log_profile : T read data: 0.266798 2021-06-10 18:00:14.578: INFO @log_profile : T hooks: 2.685923 2021-06-10 18:00:14.578: INFO @main_loop : Epoch 256 done 2021-06-10 18:00:14.578: INFO @main_loop : Training epoch 257 2021-06-10 18:00:32.992: INFO @log_variables: train loss nanmean: 1.801077 2021-06-10 18:00:32.992: INFO @log_variables: train age_loss mean: 0.989165 2021-06-10 18:00:32.992: INFO @log_variables: train gender_loss mean: 0.370540 2021-06-10 18:00:32.992: INFO @log_variables: train age_mae mean: 11.023551 2021-06-10 18:00:32.992: INFO @log_variables: train gender_accuracy mean: 0.833840 2021-06-10 18:00:32.992: INFO @log_variables: train artificial_age_loss mean: 0.269382 2021-06-10 18:00:32.992: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:00:32.992: INFO @log_variables: train gender_confidence/accuracy mean: 0.325593 2021-06-10 18:00:32.992: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:00:32.993: INFO @log_variables: train age_confidence/accuracy mean: 0.508825 2021-06-10 18:00:32.993: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:00:32.995: INFO @metrics_hook: train age_mae: 11.024 +-0.170 (13824) 2021-06-10 18:00:32.996: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-06-10 18:00:35.010: INFO @decay_lr : LR updated to `8.272798e-05` 2021-06-10 18:00:35.011: INFO @log_profile : T train: 17.422928 2021-06-10 18:00:35.011: INFO @log_profile : T read data: 0.273461 2021-06-10 18:00:35.011: INFO @log_profile : T hooks: 2.687366 2021-06-10 18:00:35.011: INFO @main_loop : Epoch 257 done 2021-06-10 18:00:35.011: INFO @main_loop : Training epoch 258 2021-06-10 18:00:53.439: INFO @log_variables: train loss nanmean: 1.843541 2021-06-10 18:00:53.439: INFO @log_variables: train age_loss mean: 0.996905 2021-06-10 18:00:53.439: INFO @log_variables: train gender_loss mean: 0.364668 2021-06-10 18:00:53.439: INFO @log_variables: train age_mae mean: 11.094042 2021-06-10 18:00:53.439: INFO @log_variables: train gender_accuracy mean: 0.834130 2021-06-10 18:00:53.440: INFO @log_variables: train artificial_age_loss mean: 0.270392 2021-06-10 18:00:53.440: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:00:53.440: INFO @log_variables: train gender_confidence/accuracy mean: 0.323696 2021-06-10 18:00:53.440: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:00:53.440: INFO @log_variables: train age_confidence/accuracy mean: 0.511232 2021-06-10 18:00:53.440: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:00:53.442: INFO @metrics_hook: train age_mae: 11.094 +-0.173 (13800) 2021-06-10 18:00:53.444: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13800) 2021-06-10 18:00:55.439: INFO @decay_lr : LR updated to `8.231434e-05` 2021-06-10 18:00:55.440: INFO @log_profile : T train: 17.313280 2021-06-10 18:00:55.440: INFO @log_profile : T read data: 0.419360 2021-06-10 18:00:55.440: INFO @log_profile : T hooks: 2.649178 2021-06-10 18:00:55.440: INFO @main_loop : Epoch 258 done 2021-06-10 18:00:55.440: INFO @main_loop : Training epoch 259 2021-06-10 18:01:13.730: INFO @log_variables: train loss nanmean: 1.838995 2021-06-10 18:01:13.730: INFO @log_variables: train age_loss mean: 1.010107 2021-06-10 18:01:13.730: INFO @log_variables: train gender_loss mean: 0.370799 2021-06-10 18:01:13.730: INFO @log_variables: train age_mae mean: 11.215566 2021-06-10 18:01:13.730: INFO @log_variables: train gender_accuracy mean: 0.830657 2021-06-10 18:01:13.730: INFO @log_variables: train artificial_age_loss mean: 0.268239 2021-06-10 18:01:13.730: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:01:13.730: INFO @log_variables: train gender_confidence/accuracy mean: 0.324436 2021-06-10 18:01:13.730: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:01:13.730: INFO @log_variables: train age_confidence/accuracy mean: 0.511646 2021-06-10 18:01:13.731: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:01:13.732: INFO @metrics_hook: train age_mae: 11.216 +-0.171 (13824) 2021-06-10 18:01:13.734: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-06-10 18:01:15.743: INFO @decay_lr : LR updated to `8.190277e-05` 2021-06-10 18:01:15.744: INFO @log_profile : T train: 17.306754 2021-06-10 18:01:15.744: INFO @log_profile : T read data: 0.278157 2021-06-10 18:01:15.744: INFO @log_profile : T hooks: 2.669422 2021-06-10 18:01:15.744: INFO @main_loop : Epoch 259 done 2021-06-10 18:01:15.744: INFO @main_loop : Training epoch 260 2021-06-10 18:01:34.080: INFO @log_variables: train loss nanmean: 1.849898 2021-06-10 18:01:34.081: INFO @log_variables: train age_loss mean: 1.004640 2021-06-10 18:01:34.081: INFO @log_variables: train gender_loss mean: 0.376418 2021-06-10 18:01:34.081: INFO @log_variables: train age_mae mean: 11.167156 2021-06-10 18:01:34.081: INFO @log_variables: train gender_accuracy mean: 0.833406 2021-06-10 18:01:34.081: INFO @log_variables: train artificial_age_loss mean: 0.269018 2021-06-10 18:01:34.081: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:01:34.081: INFO @log_variables: train gender_confidence/accuracy mean: 0.319227 2021-06-10 18:01:34.081: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:01:34.081: INFO @log_variables: train age_confidence/accuracy mean: 0.507885 2021-06-10 18:01:34.081: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:01:34.083: INFO @metrics_hook: train age_mae: 11.167 +-0.172 (13824) 2021-06-10 18:01:34.085: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-06-10 18:01:36.118: INFO @decay_lr : LR updated to `8.149326e-05` 2021-06-10 18:01:36.119: INFO @log_profile : T train: 17.368050 2021-06-10 18:01:36.119: INFO @log_profile : T read data: 0.266294 2021-06-10 18:01:36.119: INFO @log_profile : T hooks: 2.691643 2021-06-10 18:01:36.119: INFO @main_loop : Epoch 260 done 2021-06-10 18:01:36.119: INFO @main_loop : Training epoch 261 2021-06-10 18:01:54.397: INFO @log_variables: train loss nanmean: 1.822780 2021-06-10 18:01:54.397: INFO @log_variables: train age_loss mean: 1.004499 2021-06-10 18:01:54.397: INFO @log_variables: train gender_loss mean: 0.362111 2021-06-10 18:01:54.397: INFO @log_variables: train age_mae mean: 11.172650 2021-06-10 18:01:54.397: INFO @log_variables: train gender_accuracy mean: 0.836372 2021-06-10 18:01:54.398: INFO @log_variables: train artificial_age_loss mean: 0.268924 2021-06-10 18:01:54.398: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:01:54.398: INFO @log_variables: train gender_confidence/accuracy mean: 0.319734 2021-06-10 18:01:54.398: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:01:54.398: INFO @log_variables: train age_confidence/accuracy mean: 0.503762 2021-06-10 18:01:54.398: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:01:54.400: INFO @metrics_hook: train age_mae: 11.173 +-0.172 (13824) 2021-06-10 18:01:54.402: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:01:56.331: INFO @decay_lr : LR updated to `8.108579e-05` 2021-06-10 18:01:56.332: INFO @log_profile : T train: 17.341069 2021-06-10 18:01:56.332: INFO @log_profile : T read data: 0.267969 2021-06-10 18:01:56.332: INFO @log_profile : T hooks: 2.555942 2021-06-10 18:01:56.333: INFO @main_loop : Epoch 261 done 2021-06-10 18:01:56.333: INFO @main_loop : Training epoch 262 2021-06-10 18:02:14.727: INFO @log_variables: train loss nanmean: 1.810908 2021-06-10 18:02:14.727: INFO @log_variables: train age_loss mean: 0.998413 2021-06-10 18:02:14.727: INFO @log_variables: train gender_loss mean: 0.368477 2021-06-10 18:02:14.727: INFO @log_variables: train age_mae mean: 11.086626 2021-06-10 18:02:14.728: INFO @log_variables: train gender_accuracy mean: 0.834348 2021-06-10 18:02:14.728: INFO @log_variables: train artificial_age_loss mean: 0.268871 2021-06-10 18:02:14.728: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:02:14.728: INFO @log_variables: train gender_confidence/accuracy mean: 0.320145 2021-06-10 18:02:14.728: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:02:14.728: INFO @log_variables: train age_confidence/accuracy mean: 0.503043 2021-06-10 18:02:14.728: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:02:14.730: INFO @metrics_hook: train age_mae: 11.087 +-0.169 (13800) 2021-06-10 18:02:14.732: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13800) 2021-06-10 18:02:16.773: INFO @decay_lr : LR updated to `8.068036e-05` 2021-06-10 18:02:16.774: INFO @log_profile : T train: 17.292366 2021-06-10 18:02:16.775: INFO @log_profile : T read data: 0.402857 2021-06-10 18:02:16.775: INFO @log_profile : T hooks: 2.697941 2021-06-10 18:02:16.775: INFO @main_loop : Epoch 262 done 2021-06-10 18:02:16.775: INFO @main_loop : Training epoch 263 2021-06-10 18:02:34.940: INFO @log_variables: train loss nanmean: 1.850767 2021-06-10 18:02:34.940: INFO @log_variables: train age_loss mean: 1.005332 2021-06-10 18:02:34.940: INFO @log_variables: train gender_loss mean: 0.369332 2021-06-10 18:02:34.940: INFO @log_variables: train age_mae mean: 11.172091 2021-06-10 18:02:34.940: INFO @log_variables: train gender_accuracy mean: 0.831959 2021-06-10 18:02:34.941: INFO @log_variables: train artificial_age_loss mean: 0.267303 2021-06-10 18:02:34.941: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:02:34.941: INFO @log_variables: train gender_confidence/accuracy mean: 0.326100 2021-06-10 18:02:34.941: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:02:34.941: INFO @log_variables: train age_confidence/accuracy mean: 0.508174 2021-06-10 18:02:34.941: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:02:34.943: INFO @metrics_hook: train age_mae: 11.172 +-0.174 (13824) 2021-06-10 18:02:34.945: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-06-10 18:02:36.932: INFO @decay_lr : LR updated to `8.027696e-05` 2021-06-10 18:02:36.933: INFO @log_profile : T train: 17.217784 2021-06-10 18:02:36.933: INFO @log_profile : T read data: 0.268459 2021-06-10 18:02:36.933: INFO @log_profile : T hooks: 2.623899 2021-06-10 18:02:36.933: INFO @main_loop : Epoch 263 done 2021-06-10 18:02:36.934: INFO @main_loop : Training epoch 264 2021-06-10 18:02:55.161: INFO @log_variables: train loss nanmean: 1.820210 2021-06-10 18:02:55.161: INFO @log_variables: train age_loss mean: 1.005491 2021-06-10 18:02:55.161: INFO @log_variables: train gender_loss mean: 0.358830 2021-06-10 18:02:55.161: INFO @log_variables: train age_mae mean: 11.183740 2021-06-10 18:02:55.161: INFO @log_variables: train gender_accuracy mean: 0.839844 2021-06-10 18:02:55.161: INFO @log_variables: train artificial_age_loss mean: 0.267128 2021-06-10 18:02:55.161: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:02:55.161: INFO @log_variables: train gender_confidence/accuracy mean: 0.320819 2021-06-10 18:02:55.162: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:02:55.162: INFO @log_variables: train age_confidence/accuracy mean: 0.504557 2021-06-10 18:02:55.162: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:02:55.164: INFO @metrics_hook: train age_mae: 11.184 +-0.173 (13824) 2021-06-10 18:02:55.166: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:02:57.217: INFO @decay_lr : LR updated to `7.987557e-05` 2021-06-10 18:02:57.218: INFO @log_profile : T train: 17.285581 2021-06-10 18:02:57.218: INFO @log_profile : T read data: 0.259679 2021-06-10 18:02:57.218: INFO @log_profile : T hooks: 2.691293 2021-06-10 18:02:57.218: INFO @main_loop : Epoch 264 done 2021-06-10 18:02:57.218: INFO @main_loop : Training epoch 265 2021-06-10 18:03:15.493: INFO @log_variables: train loss nanmean: 1.772672 2021-06-10 18:03:15.493: INFO @log_variables: train age_loss mean: 0.978184 2021-06-10 18:03:15.493: INFO @log_variables: train gender_loss mean: 0.364926 2021-06-10 18:03:15.493: INFO @log_variables: train age_mae mean: 10.903266 2021-06-10 18:03:15.493: INFO @log_variables: train gender_accuracy mean: 0.835359 2021-06-10 18:03:15.494: INFO @log_variables: train artificial_age_loss mean: 0.267018 2021-06-10 18:03:15.494: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:03:15.494: INFO @log_variables: train gender_confidence/accuracy mean: 0.318866 2021-06-10 18:03:15.494: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:03:15.494: INFO @log_variables: train age_confidence/accuracy mean: 0.502170 2021-06-10 18:03:15.494: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:03:15.496: INFO @metrics_hook: train age_mae: 10.903 +-0.169 (13824) 2021-06-10 18:03:15.498: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13824) 2021-06-10 18:03:17.592: INFO @decay_lr : LR updated to `7.9476195e-05` 2021-06-10 18:03:17.594: INFO @log_profile : T train: 17.308431 2021-06-10 18:03:17.594: INFO @log_profile : T read data: 0.273523 2021-06-10 18:03:17.594: INFO @log_profile : T hooks: 2.744689 2021-06-10 18:03:17.595: INFO @main_loop : Epoch 265 done 2021-06-10 18:03:17.595: INFO @main_loop : Training epoch 266 2021-06-10 18:03:35.985: INFO @log_variables: train loss nanmean: 1.803564 2021-06-10 18:03:35.985: INFO @log_variables: train age_loss mean: 1.006908 2021-06-10 18:03:35.985: INFO @log_variables: train gender_loss mean: 0.363782 2021-06-10 18:03:35.986: INFO @log_variables: train age_mae mean: 11.190243 2021-06-10 18:03:35.986: INFO @log_variables: train gender_accuracy mean: 0.833986 2021-06-10 18:03:35.986: INFO @log_variables: train artificial_age_loss mean: 0.270789 2021-06-10 18:03:35.986: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:03:35.986: INFO @log_variables: train gender_confidence/accuracy mean: 0.324855 2021-06-10 18:03:35.986: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:03:35.986: INFO @log_variables: train age_confidence/accuracy mean: 0.494348 2021-06-10 18:03:35.986: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:03:35.988: INFO @metrics_hook: train age_mae: 11.190 +-0.171 (13800) 2021-06-10 18:03:35.990: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13800) 2021-06-10 18:03:37.904: INFO @decay_lr : LR updated to `7.907881e-05` 2021-06-10 18:03:37.905: INFO @log_profile : T train: 17.237578 2021-06-10 18:03:37.905: INFO @log_profile : T read data: 0.433060 2021-06-10 18:03:37.905: INFO @log_profile : T hooks: 2.590780 2021-06-10 18:03:37.905: INFO @main_loop : Epoch 266 done 2021-06-10 18:03:37.905: INFO @main_loop : Training epoch 267 2021-06-10 18:03:55.583: INFO @log_variables: train loss nanmean: 1.808767 2021-06-10 18:03:55.583: INFO @log_variables: train age_loss mean: 0.992209 2021-06-10 18:03:55.583: INFO @log_variables: train gender_loss mean: 0.360385 2021-06-10 18:03:55.583: INFO @log_variables: train age_mae mean: 11.063201 2021-06-10 18:03:55.584: INFO @log_variables: train gender_accuracy mean: 0.838469 2021-06-10 18:03:55.584: INFO @log_variables: train artificial_age_loss mean: 0.269341 2021-06-10 18:03:55.584: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:03:55.584: INFO @log_variables: train gender_confidence/accuracy mean: 0.326027 2021-06-10 18:03:55.584: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:03:55.584: INFO @log_variables: train age_confidence/accuracy mean: 0.497541 2021-06-10 18:03:55.584: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:03:55.586: INFO @metrics_hook: train age_mae: 11.063 +-0.172 (13824) 2021-06-10 18:03:55.587: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-06-10 18:03:57.601: INFO @decay_lr : LR updated to `7.868341e-05` 2021-06-10 18:03:57.602: INFO @log_profile : T train: 16.736447 2021-06-10 18:03:57.602: INFO @log_profile : T read data: 0.274042 2021-06-10 18:03:57.602: INFO @log_profile : T hooks: 2.638204 2021-06-10 18:03:57.603: INFO @main_loop : Epoch 267 done 2021-06-10 18:03:57.603: INFO @main_loop : Training epoch 268 2021-06-10 18:04:15.780: INFO @log_variables: train loss nanmean: 1.795380 2021-06-10 18:04:15.780: INFO @log_variables: train age_loss mean: 0.983478 2021-06-10 18:04:15.781: INFO @log_variables: train gender_loss mean: 0.367559 2021-06-10 18:04:15.781: INFO @log_variables: train age_mae mean: 10.982510 2021-06-10 18:04:15.781: INFO @log_variables: train gender_accuracy mean: 0.835576 2021-06-10 18:04:15.781: INFO @log_variables: train artificial_age_loss mean: 0.269075 2021-06-10 18:04:15.781: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:04:15.781: INFO @log_variables: train gender_confidence/accuracy mean: 0.326461 2021-06-10 18:04:15.781: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:04:15.781: INFO @log_variables: train age_confidence/accuracy mean: 0.499566 2021-06-10 18:04:15.781: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:04:15.782: INFO @metrics_hook: train age_mae: 10.983 +-0.171 (13824) 2021-06-10 18:04:15.783: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:04:17.677: INFO @decay_lr : LR updated to `7.8289995e-05` 2021-06-10 18:04:17.678: INFO @log_profile : T train: 17.231540 2021-06-10 18:04:17.678: INFO @log_profile : T read data: 0.267886 2021-06-10 18:04:17.678: INFO @log_profile : T hooks: 2.528503 2021-06-10 18:04:17.679: INFO @main_loop : Epoch 268 done 2021-06-10 18:04:17.679: INFO @main_loop : Training epoch 269 2021-06-10 18:04:36.081: INFO @log_variables: train loss nanmean: 1.816166 2021-06-10 18:04:36.081: INFO @log_variables: train age_loss mean: 0.997905 2021-06-10 18:04:36.081: INFO @log_variables: train gender_loss mean: 0.376515 2021-06-10 18:04:36.081: INFO @log_variables: train age_mae mean: 11.114037 2021-06-10 18:04:36.082: INFO @log_variables: train gender_accuracy mean: 0.829138 2021-06-10 18:04:36.082: INFO @log_variables: train artificial_age_loss mean: 0.267856 2021-06-10 18:04:36.082: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:04:36.082: INFO @log_variables: train gender_confidence/accuracy mean: 0.316913 2021-06-10 18:04:36.082: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:04:36.082: INFO @log_variables: train age_confidence/accuracy mean: 0.502821 2021-06-10 18:04:36.082: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:04:36.084: INFO @metrics_hook: train age_mae: 11.114 +-0.171 (13824) 2021-06-10 18:04:36.086: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-06-10 18:04:38.080: INFO @decay_lr : LR updated to `7.789855e-05` 2021-06-10 18:04:38.081: INFO @log_profile : T train: 17.408645 2021-06-10 18:04:38.081: INFO @log_profile : T read data: 0.268738 2021-06-10 18:04:38.081: INFO @log_profile : T hooks: 2.676141 2021-06-10 18:04:38.081: INFO @main_loop : Epoch 269 done 2021-06-10 18:04:38.081: INFO @main_loop : Training epoch 270 2021-06-10 18:04:56.570: INFO @log_variables: train loss nanmean: 1.843909 2021-06-10 18:04:56.570: INFO @log_variables: train age_loss mean: 1.003534 2021-06-10 18:04:56.571: INFO @log_variables: train gender_loss mean: 0.371538 2021-06-10 18:04:56.571: INFO @log_variables: train age_mae mean: 11.166142 2021-06-10 18:04:56.571: INFO @log_variables: train gender_accuracy mean: 0.833043 2021-06-10 18:04:56.571: INFO @log_variables: train artificial_age_loss mean: 0.267571 2021-06-10 18:04:56.571: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:04:56.571: INFO @log_variables: train gender_confidence/accuracy mean: 0.323623 2021-06-10 18:04:56.571: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:04:56.571: INFO @log_variables: train age_confidence/accuracy mean: 0.501667 2021-06-10 18:04:56.571: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:04:56.573: INFO @metrics_hook: train age_mae: 11.166 +-0.173 (13800) 2021-06-10 18:04:56.575: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13800) 2021-06-10 18:04:58.494: INFO @decay_lr : LR updated to `7.750906e-05` 2021-06-10 18:04:58.495: INFO @log_profile : T train: 17.345124 2021-06-10 18:04:58.495: INFO @log_profile : T read data: 0.423093 2021-06-10 18:04:58.495: INFO @log_profile : T hooks: 2.597210 2021-06-10 18:04:58.495: INFO @main_loop : Epoch 270 done 2021-06-10 18:04:58.495: INFO @main_loop : Training epoch 271 2021-06-10 18:05:16.861: INFO @log_variables: train loss nanmean: 1.778040 2021-06-10 18:05:16.861: INFO @log_variables: train age_loss mean: 0.985937 2021-06-10 18:05:16.861: INFO @log_variables: train gender_loss mean: 0.363874 2021-06-10 18:05:16.861: INFO @log_variables: train age_mae mean: 10.993181 2021-06-10 18:05:16.861: INFO @log_variables: train gender_accuracy mean: 0.837240 2021-06-10 18:05:16.861: INFO @log_variables: train artificial_age_loss mean: 0.269460 2021-06-10 18:05:16.861: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:05:16.861: INFO @log_variables: train gender_confidence/accuracy mean: 0.320674 2021-06-10 18:05:16.861: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:05:16.861: INFO @log_variables: train age_confidence/accuracy mean: 0.506221 2021-06-10 18:05:16.862: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:05:16.863: INFO @metrics_hook: train age_mae: 10.993 +-0.171 (13824) 2021-06-10 18:05:16.865: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-06-10 18:05:18.784: INFO @decay_lr : LR updated to `7.712151e-05` 2021-06-10 18:05:18.786: INFO @log_profile : T train: 17.395230 2021-06-10 18:05:18.786: INFO @log_profile : T read data: 0.272313 2021-06-10 18:05:18.786: INFO @log_profile : T hooks: 2.573370 2021-06-10 18:05:18.786: INFO @main_loop : Epoch 271 done 2021-06-10 18:05:18.786: INFO @main_loop : Training epoch 272 2021-06-10 18:05:37.100: INFO @log_variables: train loss nanmean: 1.808909 2021-06-10 18:05:37.100: INFO @log_variables: train age_loss mean: 0.983395 2021-06-10 18:05:37.100: INFO @log_variables: train gender_loss mean: 0.366058 2021-06-10 18:05:37.100: INFO @log_variables: train age_mae mean: 10.999617 2021-06-10 18:05:37.100: INFO @log_variables: train gender_accuracy mean: 0.831453 2021-06-10 18:05:37.100: INFO @log_variables: train artificial_age_loss mean: 0.266214 2021-06-10 18:05:37.100: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:05:37.100: INFO @log_variables: train gender_confidence/accuracy mean: 0.325810 2021-06-10 18:05:37.100: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:05:37.100: INFO @log_variables: train age_confidence/accuracy mean: 0.496962 2021-06-10 18:05:37.100: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:05:37.101: INFO @metrics_hook: train age_mae: 11.000 +-0.171 (13824) 2021-06-10 18:05:37.103: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-06-10 18:05:39.101: INFO @decay_lr : LR updated to `7.67359e-05` 2021-06-10 18:05:39.102: INFO @log_profile : T train: 17.343242 2021-06-10 18:05:39.102: INFO @log_profile : T read data: 0.265294 2021-06-10 18:05:39.102: INFO @log_profile : T hooks: 2.659514 2021-06-10 18:05:39.102: INFO @main_loop : Epoch 272 done 2021-06-10 18:05:39.102: INFO @main_loop : Training epoch 273 2021-06-10 18:05:57.351: INFO @log_variables: train loss nanmean: 1.801186 2021-06-10 18:05:57.351: INFO @log_variables: train age_loss mean: 0.993962 2021-06-10 18:05:57.351: INFO @log_variables: train gender_loss mean: 0.370928 2021-06-10 18:05:57.351: INFO @log_variables: train age_mae mean: 11.064997 2021-06-10 18:05:57.351: INFO @log_variables: train gender_accuracy mean: 0.834491 2021-06-10 18:05:57.351: INFO @log_variables: train artificial_age_loss mean: 0.268426 2021-06-10 18:05:57.352: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:05:57.352: INFO @log_variables: train gender_confidence/accuracy mean: 0.322700 2021-06-10 18:05:57.352: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:05:57.352: INFO @log_variables: train age_confidence/accuracy mean: 0.498915 2021-06-10 18:05:57.352: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:05:57.354: INFO @metrics_hook: train age_mae: 11.065 +-0.171 (13824) 2021-06-10 18:05:57.356: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-06-10 18:05:59.295: INFO @decay_lr : LR updated to `7.635222e-05` 2021-06-10 18:05:59.296: INFO @log_profile : T train: 17.285965 2021-06-10 18:05:59.296: INFO @log_profile : T read data: 0.269142 2021-06-10 18:05:59.296: INFO @log_profile : T hooks: 2.589407 2021-06-10 18:05:59.296: INFO @main_loop : Epoch 273 done 2021-06-10 18:05:59.296: INFO @main_loop : Training epoch 274 2021-06-10 18:06:17.792: INFO @log_variables: train loss nanmean: 1.814695 2021-06-10 18:06:17.793: INFO @log_variables: train age_loss mean: 0.992490 2021-06-10 18:06:17.793: INFO @log_variables: train gender_loss mean: 0.373533 2021-06-10 18:06:17.793: INFO @log_variables: train age_mae mean: 11.061271 2021-06-10 18:06:17.793: INFO @log_variables: train gender_accuracy mean: 0.831522 2021-06-10 18:06:17.793: INFO @log_variables: train artificial_age_loss mean: 0.266851 2021-06-10 18:06:17.793: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:06:17.793: INFO @log_variables: train gender_confidence/accuracy mean: 0.327101 2021-06-10 18:06:17.793: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:06:17.793: INFO @log_variables: train age_confidence/accuracy mean: 0.491014 2021-06-10 18:06:17.794: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:06:17.795: INFO @metrics_hook: train age_mae: 11.061 +-0.173 (13800) 2021-06-10 18:06:17.797: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13800) 2021-06-10 18:06:19.806: INFO @decay_lr : LR updated to `7.5970456e-05` 2021-06-10 18:06:19.807: INFO @log_profile : T train: 17.379182 2021-06-10 18:06:19.807: INFO @log_profile : T read data: 0.420137 2021-06-10 18:06:19.807: INFO @log_profile : T hooks: 2.662305 2021-06-10 18:06:19.807: INFO @main_loop : Epoch 274 done 2021-06-10 18:06:19.807: INFO @main_loop : Training epoch 275 2021-06-10 18:06:38.216: INFO @log_variables: train loss nanmean: 1.796225 2021-06-10 18:06:38.217: INFO @log_variables: train age_loss mean: 0.978954 2021-06-10 18:06:38.217: INFO @log_variables: train gender_loss mean: 0.359911 2021-06-10 18:06:38.217: INFO @log_variables: train age_mae mean: 10.933197 2021-06-10 18:06:38.217: INFO @log_variables: train gender_accuracy mean: 0.840422 2021-06-10 18:06:38.217: INFO @log_variables: train artificial_age_loss mean: 0.267224 2021-06-10 18:06:38.217: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:06:38.217: INFO @log_variables: train gender_confidence/accuracy mean: 0.320023 2021-06-10 18:06:38.217: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:06:38.217: INFO @log_variables: train age_confidence/accuracy mean: 0.499421 2021-06-10 18:06:38.217: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:06:38.219: INFO @metrics_hook: train age_mae: 10.933 +-0.169 (13824) 2021-06-10 18:06:38.221: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:06:40.211: INFO @decay_lr : LR updated to `7.559061e-05` 2021-06-10 18:06:40.212: INFO @log_profile : T train: 17.452848 2021-06-10 18:06:40.212: INFO @log_profile : T read data: 0.268545 2021-06-10 18:06:40.212: INFO @log_profile : T hooks: 2.634937 2021-06-10 18:06:40.212: INFO @main_loop : Epoch 275 done 2021-06-10 18:06:40.212: INFO @main_loop : Training epoch 276 2021-06-10 18:06:58.370: INFO @log_variables: train loss nanmean: 1.808396 2021-06-10 18:06:58.370: INFO @log_variables: train age_loss mean: 0.989446 2021-06-10 18:06:58.370: INFO @log_variables: train gender_loss mean: 0.359382 2021-06-10 18:06:58.370: INFO @log_variables: train age_mae mean: 11.024652 2021-06-10 18:06:58.370: INFO @log_variables: train gender_accuracy mean: 0.839554 2021-06-10 18:06:58.370: INFO @log_variables: train artificial_age_loss mean: 0.264252 2021-06-10 18:06:58.370: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:06:58.370: INFO @log_variables: train gender_confidence/accuracy mean: 0.315755 2021-06-10 18:06:58.370: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:06:58.370: INFO @log_variables: train age_confidence/accuracy mean: 0.498553 2021-06-10 18:06:58.371: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:06:58.373: INFO @metrics_hook: train age_mae: 11.025 +-0.172 (13824) 2021-06-10 18:06:58.375: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:07:00.381: INFO @decay_lr : LR updated to `7.521266e-05` 2021-06-10 18:07:00.382: INFO @log_profile : T train: 17.206595 2021-06-10 18:07:00.383: INFO @log_profile : T read data: 0.263087 2021-06-10 18:07:00.383: INFO @log_profile : T hooks: 2.652831 2021-06-10 18:07:00.383: INFO @main_loop : Epoch 276 done 2021-06-10 18:07:00.383: INFO @main_loop : Training epoch 277 2021-06-10 18:07:18.889: INFO @log_variables: train loss nanmean: 1.781307 2021-06-10 18:07:18.890: INFO @log_variables: train age_loss mean: 0.983072 2021-06-10 18:07:18.890: INFO @log_variables: train gender_loss mean: 0.367639 2021-06-10 18:07:18.890: INFO @log_variables: train age_mae mean: 10.965882 2021-06-10 18:07:18.890: INFO @log_variables: train gender_accuracy mean: 0.835648 2021-06-10 18:07:18.890: INFO @log_variables: train artificial_age_loss mean: 0.268784 2021-06-10 18:07:18.890: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:07:18.890: INFO @log_variables: train gender_confidence/accuracy mean: 0.319951 2021-06-10 18:07:18.890: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:07:18.890: INFO @log_variables: train age_confidence/accuracy mean: 0.500723 2021-06-10 18:07:18.890: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:07:18.892: INFO @metrics_hook: train age_mae: 10.966 +-0.168 (13824) 2021-06-10 18:07:18.894: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:07:20.816: INFO @decay_lr : LR updated to `7.483659e-05` 2021-06-10 18:07:20.817: INFO @log_profile : T train: 17.516583 2021-06-10 18:07:20.817: INFO @log_profile : T read data: 0.268156 2021-06-10 18:07:20.818: INFO @log_profile : T hooks: 2.600745 2021-06-10 18:07:20.818: INFO @main_loop : Epoch 277 done 2021-06-10 18:07:20.818: INFO @main_loop : Training epoch 278 2021-06-10 18:07:39.041: INFO @log_variables: train loss nanmean: 1.797730 2021-06-10 18:07:39.041: INFO @log_variables: train age_loss mean: 0.988385 2021-06-10 18:07:39.041: INFO @log_variables: train gender_loss mean: 0.363448 2021-06-10 18:07:39.041: INFO @log_variables: train age_mae mean: 11.012834 2021-06-10 18:07:39.041: INFO @log_variables: train gender_accuracy mean: 0.839493 2021-06-10 18:07:39.041: INFO @log_variables: train artificial_age_loss mean: 0.265227 2021-06-10 18:07:39.042: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:07:39.042: INFO @log_variables: train gender_confidence/accuracy mean: 0.317391 2021-06-10 18:07:39.042: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:07:39.042: INFO @log_variables: train age_confidence/accuracy mean: 0.507536 2021-06-10 18:07:39.042: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:07:39.044: INFO @metrics_hook: train age_mae: 11.013 +-0.172 (13800) 2021-06-10 18:07:39.046: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13800) 2021-06-10 18:07:40.995: INFO @decay_lr : LR updated to `7.446241e-05` 2021-06-10 18:07:40.996: INFO @log_profile : T train: 17.108368 2021-06-10 18:07:40.997: INFO @log_profile : T read data: 0.420359 2021-06-10 18:07:40.997: INFO @log_profile : T hooks: 2.601281 2021-06-10 18:07:40.997: INFO @main_loop : Epoch 278 done 2021-06-10 18:07:40.997: INFO @main_loop : Training epoch 279 2021-06-10 18:07:59.530: INFO @log_variables: train loss nanmean: 1.810343 2021-06-10 18:07:59.530: INFO @log_variables: train age_loss mean: 0.989549 2021-06-10 18:07:59.530: INFO @log_variables: train gender_loss mean: 0.367953 2021-06-10 18:07:59.530: INFO @log_variables: train age_mae mean: 11.033110 2021-06-10 18:07:59.530: INFO @log_variables: train gender_accuracy mean: 0.836227 2021-06-10 18:07:59.531: INFO @log_variables: train artificial_age_loss mean: 0.269432 2021-06-10 18:07:59.531: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:07:59.531: INFO @log_variables: train gender_confidence/accuracy mean: 0.313079 2021-06-10 18:07:59.531: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:07:59.531: INFO @log_variables: train age_confidence/accuracy mean: 0.500145 2021-06-10 18:07:59.531: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:07:59.533: INFO @metrics_hook: train age_mae: 11.033 +-0.171 (13824) 2021-06-10 18:07:59.535: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:08:01.512: INFO @decay_lr : LR updated to `7.40901e-05` 2021-06-10 18:08:01.513: INFO @log_profile : T train: 17.563032 2021-06-10 18:08:01.513: INFO @log_profile : T read data: 0.265985 2021-06-10 18:08:01.513: INFO @log_profile : T hooks: 2.637962 2021-06-10 18:08:01.513: INFO @main_loop : Epoch 279 done 2021-06-10 18:08:01.513: INFO @main_loop : Training epoch 280 2021-06-10 18:08:19.893: INFO @log_variables: train loss nanmean: 1.776314 2021-06-10 18:08:19.893: INFO @log_variables: train age_loss mean: 0.973434 2021-06-10 18:08:19.893: INFO @log_variables: train gender_loss mean: 0.358187 2021-06-10 18:08:19.893: INFO @log_variables: train age_mae mean: 10.869599 2021-06-10 18:08:19.894: INFO @log_variables: train gender_accuracy mean: 0.840712 2021-06-10 18:08:19.894: INFO @log_variables: train artificial_age_loss mean: 0.265318 2021-06-10 18:08:19.894: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:08:19.894: INFO @log_variables: train gender_confidence/accuracy mean: 0.316262 2021-06-10 18:08:19.894: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:08:19.894: INFO @log_variables: train age_confidence/accuracy mean: 0.495732 2021-06-10 18:08:19.894: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:08:19.896: INFO @metrics_hook: train age_mae: 10.870 +-0.170 (13824) 2021-06-10 18:08:19.898: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-06-10 18:08:21.932: INFO @decay_lr : LR updated to `7.371965e-05` 2021-06-10 18:08:21.933: INFO @log_profile : T train: 17.408006 2021-06-10 18:08:21.933: INFO @log_profile : T read data: 0.271044 2021-06-10 18:08:21.933: INFO @log_profile : T hooks: 2.692749 2021-06-10 18:08:21.933: INFO @main_loop : Epoch 280 done 2021-06-10 18:08:21.933: INFO @main_loop : Training epoch 281 2021-06-10 18:08:40.281: INFO @log_variables: train loss nanmean: 1.794148 2021-06-10 18:08:40.281: INFO @log_variables: train age_loss mean: 0.975259 2021-06-10 18:08:40.281: INFO @log_variables: train gender_loss mean: 0.367452 2021-06-10 18:08:40.281: INFO @log_variables: train age_mae mean: 10.899403 2021-06-10 18:08:40.282: INFO @log_variables: train gender_accuracy mean: 0.835214 2021-06-10 18:08:40.282: INFO @log_variables: train artificial_age_loss mean: 0.265858 2021-06-10 18:08:40.282: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:08:40.282: INFO @log_variables: train gender_confidence/accuracy mean: 0.320602 2021-06-10 18:08:40.282: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:08:40.282: INFO @log_variables: train age_confidence/accuracy mean: 0.506004 2021-06-10 18:08:40.282: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:08:40.285: INFO @metrics_hook: train age_mae: 10.899 +-0.170 (13824) 2021-06-10 18:08:40.288: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13824) 2021-06-10 18:08:42.318: INFO @decay_lr : LR updated to `7.335105e-05` 2021-06-10 18:08:42.320: INFO @log_profile : T train: 17.375849 2021-06-10 18:08:42.320: INFO @log_profile : T read data: 0.266505 2021-06-10 18:08:42.320: INFO @log_profile : T hooks: 2.694654 2021-06-10 18:08:42.320: INFO @main_loop : Epoch 281 done 2021-06-10 18:08:42.321: INFO @main_loop : Training epoch 282 2021-06-10 18:09:00.894: INFO @log_variables: train loss nanmean: 1.827802 2021-06-10 18:09:00.894: INFO @log_variables: train age_loss mean: 0.977666 2021-06-10 18:09:00.894: INFO @log_variables: train gender_loss mean: 0.357027 2021-06-10 18:09:00.894: INFO @log_variables: train age_mae mean: 10.920661 2021-06-10 18:09:00.894: INFO @log_variables: train gender_accuracy mean: 0.838986 2021-06-10 18:09:00.895: INFO @log_variables: train artificial_age_loss mean: 0.270130 2021-06-10 18:09:00.895: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:09:00.895: INFO @log_variables: train gender_confidence/accuracy mean: 0.320652 2021-06-10 18:09:00.895: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:09:00.895: INFO @log_variables: train age_confidence/accuracy mean: 0.494783 2021-06-10 18:09:00.895: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:09:00.897: INFO @metrics_hook: train age_mae: 10.921 +-0.169 (13800) 2021-06-10 18:09:00.899: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13800) 2021-06-10 18:09:02.846: INFO @decay_lr : LR updated to `7.29843e-05` 2021-06-10 18:09:02.847: INFO @log_profile : T train: 17.472320 2021-06-10 18:09:02.847: INFO @log_profile : T read data: 0.414071 2021-06-10 18:09:02.847: INFO @log_profile : T hooks: 2.590582 2021-06-10 18:09:02.848: INFO @main_loop : Epoch 282 done 2021-06-10 18:09:02.848: INFO @main_loop : Training epoch 283 2021-06-10 18:09:21.191: INFO @log_variables: train loss nanmean: 1.824314 2021-06-10 18:09:21.191: INFO @log_variables: train age_loss mean: 1.004748 2021-06-10 18:09:21.192: INFO @log_variables: train gender_loss mean: 0.371979 2021-06-10 18:09:21.192: INFO @log_variables: train age_mae mean: 11.168308 2021-06-10 18:09:21.192: INFO @log_variables: train gender_accuracy mean: 0.831814 2021-06-10 18:09:21.192: INFO @log_variables: train artificial_age_loss mean: 0.269420 2021-06-10 18:09:21.192: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:09:21.192: INFO @log_variables: train gender_confidence/accuracy mean: 0.324580 2021-06-10 18:09:21.192: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:09:21.192: INFO @log_variables: train age_confidence/accuracy mean: 0.495949 2021-06-10 18:09:21.192: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:09:21.194: INFO @metrics_hook: train age_mae: 11.168 +-0.170 (13824) 2021-06-10 18:09:21.196: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-06-10 18:09:23.142: INFO @decay_lr : LR updated to `7.261938e-05` 2021-06-10 18:09:23.143: INFO @log_profile : T train: 17.368332 2021-06-10 18:09:23.143: INFO @log_profile : T read data: 0.269417 2021-06-10 18:09:23.143: INFO @log_profile : T hooks: 2.609030 2021-06-10 18:09:23.143: INFO @main_loop : Epoch 283 done 2021-06-10 18:09:23.143: INFO @main_loop : Training epoch 284 2021-06-10 18:09:41.686: INFO @log_variables: train loss nanmean: 1.801441 2021-06-10 18:09:41.687: INFO @log_variables: train age_loss mean: 0.977287 2021-06-10 18:09:41.687: INFO @log_variables: train gender_loss mean: 0.353634 2021-06-10 18:09:41.687: INFO @log_variables: train age_mae mean: 10.896087 2021-06-10 18:09:41.687: INFO @log_variables: train gender_accuracy mean: 0.844256 2021-06-10 18:09:41.687: INFO @log_variables: train artificial_age_loss mean: 0.270038 2021-06-10 18:09:41.687: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:09:41.687: INFO @log_variables: train gender_confidence/accuracy mean: 0.322844 2021-06-10 18:09:41.687: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:09:41.687: INFO @log_variables: train age_confidence/accuracy mean: 0.507306 2021-06-10 18:09:41.687: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:09:41.689: INFO @metrics_hook: train age_mae: 10.896 +-0.170 (13824) 2021-06-10 18:09:41.691: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:09:43.734: INFO @decay_lr : LR updated to `7.225628e-05` 2021-06-10 18:09:43.735: INFO @log_profile : T train: 17.546363 2021-06-10 18:09:43.735: INFO @log_profile : T read data: 0.272813 2021-06-10 18:09:43.735: INFO @log_profile : T hooks: 2.723560 2021-06-10 18:09:43.735: INFO @main_loop : Epoch 284 done 2021-06-10 18:09:43.735: INFO @main_loop : Training epoch 285 2021-06-10 18:10:02.126: INFO @log_variables: train loss nanmean: 1.807302 2021-06-10 18:10:02.126: INFO @log_variables: train age_loss mean: 0.990302 2021-06-10 18:10:02.127: INFO @log_variables: train gender_loss mean: 0.366439 2021-06-10 18:10:02.127: INFO @log_variables: train age_mae mean: 11.047898 2021-06-10 18:10:02.127: INFO @log_variables: train gender_accuracy mean: 0.836878 2021-06-10 18:10:02.127: INFO @log_variables: train artificial_age_loss mean: 0.267531 2021-06-10 18:10:02.127: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:10:02.127: INFO @log_variables: train gender_confidence/accuracy mean: 0.323206 2021-06-10 18:10:02.127: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:10:02.127: INFO @log_variables: train age_confidence/accuracy mean: 0.504557 2021-06-10 18:10:02.127: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:10:02.130: INFO @metrics_hook: train age_mae: 11.048 +-0.170 (13824) 2021-06-10 18:10:02.133: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-06-10 18:10:04.193: INFO @decay_lr : LR updated to `7.1895e-05` 2021-06-10 18:10:04.194: INFO @log_profile : T train: 17.427508 2021-06-10 18:10:04.195: INFO @log_profile : T read data: 0.261930 2021-06-10 18:10:04.195: INFO @log_profile : T hooks: 2.721464 2021-06-10 18:10:04.195: INFO @main_loop : Epoch 285 done 2021-06-10 18:10:04.195: INFO @main_loop : Training epoch 286 2021-06-10 18:10:22.735: INFO @log_variables: train loss nanmean: 1.785697 2021-06-10 18:10:22.735: INFO @log_variables: train age_loss mean: 0.978279 2021-06-10 18:10:22.736: INFO @log_variables: train gender_loss mean: 0.366660 2021-06-10 18:10:22.736: INFO @log_variables: train age_mae mean: 10.943843 2021-06-10 18:10:22.736: INFO @log_variables: train gender_accuracy mean: 0.834275 2021-06-10 18:10:22.736: INFO @log_variables: train artificial_age_loss mean: 0.268467 2021-06-10 18:10:22.736: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:10:22.736: INFO @log_variables: train gender_confidence/accuracy mean: 0.321449 2021-06-10 18:10:22.736: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:10:22.736: INFO @log_variables: train age_confidence/accuracy mean: 0.503188 2021-06-10 18:10:22.736: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:10:22.738: INFO @metrics_hook: train age_mae: 10.944 +-0.170 (13800) 2021-06-10 18:10:22.740: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13800) 2021-06-10 18:10:24.734: INFO @decay_lr : LR updated to `7.153553e-05` 2021-06-10 18:10:24.736: INFO @log_profile : T train: 17.463299 2021-06-10 18:10:24.736: INFO @log_profile : T read data: 0.387583 2021-06-10 18:10:24.736: INFO @log_profile : T hooks: 2.641808 2021-06-10 18:10:24.736: INFO @main_loop : Epoch 286 done 2021-06-10 18:10:24.736: INFO @main_loop : Training epoch 287 2021-06-10 18:10:42.997: INFO @log_variables: train loss nanmean: 1.791526 2021-06-10 18:10:42.998: INFO @log_variables: train age_loss mean: 0.993602 2021-06-10 18:10:42.998: INFO @log_variables: train gender_loss mean: 0.363740 2021-06-10 18:10:42.998: INFO @log_variables: train age_mae mean: 11.075962 2021-06-10 18:10:42.998: INFO @log_variables: train gender_accuracy mean: 0.839699 2021-06-10 18:10:42.998: INFO @log_variables: train artificial_age_loss mean: 0.266885 2021-06-10 18:10:42.998: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:10:42.998: INFO @log_variables: train gender_confidence/accuracy mean: 0.320385 2021-06-10 18:10:42.998: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:10:42.998: INFO @log_variables: train age_confidence/accuracy mean: 0.498481 2021-06-10 18:10:42.998: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:10:43.000: INFO @metrics_hook: train age_mae: 11.076 +-0.172 (13824) 2021-06-10 18:10:43.002: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:10:45.048: INFO @decay_lr : LR updated to `7.117785e-05` 2021-06-10 18:10:45.049: INFO @log_profile : T train: 17.313332 2021-06-10 18:10:45.049: INFO @log_profile : T read data: 0.264423 2021-06-10 18:10:45.049: INFO @log_profile : T hooks: 2.687165 2021-06-10 18:10:45.049: INFO @main_loop : Epoch 287 done 2021-06-10 18:10:45.050: INFO @main_loop : Training epoch 288 2021-06-10 18:11:03.339: INFO @log_variables: train loss nanmean: 1.797523 2021-06-10 18:11:03.340: INFO @log_variables: train age_loss mean: 0.985861 2021-06-10 18:11:03.340: INFO @log_variables: train gender_loss mean: 0.364459 2021-06-10 18:11:03.340: INFO @log_variables: train age_mae mean: 10.997808 2021-06-10 18:11:03.340: INFO @log_variables: train gender_accuracy mean: 0.835938 2021-06-10 18:11:03.340: INFO @log_variables: train artificial_age_loss mean: 0.266763 2021-06-10 18:11:03.340: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:11:03.340: INFO @log_variables: train gender_confidence/accuracy mean: 0.322193 2021-06-10 18:11:03.341: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:11:03.341: INFO @log_variables: train age_confidence/accuracy mean: 0.500362 2021-06-10 18:11:03.341: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:11:03.344: INFO @metrics_hook: train age_mae: 10.998 +-0.172 (13824) 2021-06-10 18:11:03.346: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:11:05.314: INFO @decay_lr : LR updated to `7.082196e-05` 2021-06-10 18:11:05.316: INFO @log_profile : T train: 17.334968 2021-06-10 18:11:05.316: INFO @log_profile : T read data: 0.268183 2021-06-10 18:11:05.316: INFO @log_profile : T hooks: 2.615101 2021-06-10 18:11:05.316: INFO @main_loop : Epoch 288 done 2021-06-10 18:11:05.316: INFO @main_loop : Training epoch 289 2021-06-10 18:11:23.630: INFO @log_variables: train loss nanmean: 1.792368 2021-06-10 18:11:23.630: INFO @log_variables: train age_loss mean: 0.974221 2021-06-10 18:11:23.630: INFO @log_variables: train gender_loss mean: 0.363942 2021-06-10 18:11:23.630: INFO @log_variables: train age_mae mean: 10.888954 2021-06-10 18:11:23.630: INFO @log_variables: train gender_accuracy mean: 0.838108 2021-06-10 18:11:23.630: INFO @log_variables: train artificial_age_loss mean: 0.268710 2021-06-10 18:11:23.631: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:11:23.631: INFO @log_variables: train gender_confidence/accuracy mean: 0.329499 2021-06-10 18:11:23.631: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:11:23.631: INFO @log_variables: train age_confidence/accuracy mean: 0.494575 2021-06-10 18:11:23.631: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:11:23.633: INFO @metrics_hook: train age_mae: 10.889 +-0.167 (13824) 2021-06-10 18:11:23.635: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-06-10 18:11:25.635: INFO @decay_lr : LR updated to `7.046785e-05` 2021-06-10 18:11:25.636: INFO @log_profile : T train: 17.367786 2021-06-10 18:11:25.636: INFO @log_profile : T read data: 0.266374 2021-06-10 18:11:25.636: INFO @log_profile : T hooks: 2.638916 2021-06-10 18:11:25.636: INFO @main_loop : Epoch 289 done 2021-06-10 18:11:25.637: INFO @main_loop : Training epoch 290 2021-06-10 18:11:44.186: INFO @log_variables: train loss nanmean: 1.793671 2021-06-10 18:11:44.187: INFO @log_variables: train age_loss mean: 0.978863 2021-06-10 18:11:44.187: INFO @log_variables: train gender_loss mean: 0.356900 2021-06-10 18:11:44.187: INFO @log_variables: train age_mae mean: 10.915578 2021-06-10 18:11:44.187: INFO @log_variables: train gender_accuracy mean: 0.837235 2021-06-10 18:11:44.187: INFO @log_variables: train artificial_age_loss mean: 0.267062 2021-06-10 18:11:44.187: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:11:44.188: INFO @log_variables: train gender_confidence/accuracy mean: 0.325096 2021-06-10 18:11:44.188: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:11:44.188: INFO @log_variables: train age_confidence/accuracy mean: 0.496848 2021-06-10 18:11:44.188: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:11:44.191: INFO @metrics_hook: train age_mae: 10.916 +-0.170 (13799) 2021-06-10 18:11:44.194: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13799) 2021-06-10 18:11:46.107: INFO @decay_lr : LR updated to `7.0115515e-05` 2021-06-10 18:11:46.108: INFO @log_profile : T train: 17.411157 2021-06-10 18:11:46.109: INFO @log_profile : T read data: 0.423284 2021-06-10 18:11:46.109: INFO @log_profile : T hooks: 2.587619 2021-06-10 18:11:46.109: INFO @main_loop : Epoch 290 done 2021-06-10 18:11:46.109: INFO @main_loop : Training epoch 291 2021-06-10 18:12:04.415: INFO @log_variables: train loss nanmean: 1.828620 2021-06-10 18:12:04.416: INFO @log_variables: train age_loss mean: 0.995079 2021-06-10 18:12:04.416: INFO @log_variables: train gender_loss mean: 0.359820 2021-06-10 18:12:04.416: INFO @log_variables: train age_mae mean: 11.085931 2021-06-10 18:12:04.416: INFO @log_variables: train gender_accuracy mean: 0.839482 2021-06-10 18:12:04.416: INFO @log_variables: train artificial_age_loss mean: 0.265945 2021-06-10 18:12:04.416: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:12:04.416: INFO @log_variables: train gender_confidence/accuracy mean: 0.322917 2021-06-10 18:12:04.416: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:12:04.416: INFO @log_variables: train age_confidence/accuracy mean: 0.504702 2021-06-10 18:12:04.416: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:12:04.419: INFO @metrics_hook: train age_mae: 11.086 +-0.172 (13824) 2021-06-10 18:12:04.421: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-06-10 18:12:06.482: INFO @decay_lr : LR updated to `6.976494e-05` 2021-06-10 18:12:06.483: INFO @log_profile : T train: 17.356214 2021-06-10 18:12:06.483: INFO @log_profile : T read data: 0.263768 2021-06-10 18:12:06.483: INFO @log_profile : T hooks: 2.705468 2021-06-10 18:12:06.483: INFO @main_loop : Epoch 291 done 2021-06-10 18:12:06.483: INFO @main_loop : Training epoch 292 2021-06-10 18:12:24.871: INFO @log_variables: train loss nanmean: 1.784663 2021-06-10 18:12:24.871: INFO @log_variables: train age_loss mean: 0.984698 2021-06-10 18:12:24.871: INFO @log_variables: train gender_loss mean: 0.356587 2021-06-10 18:12:24.871: INFO @log_variables: train age_mae mean: 11.001592 2021-06-10 18:12:24.871: INFO @log_variables: train gender_accuracy mean: 0.840856 2021-06-10 18:12:24.871: INFO @log_variables: train artificial_age_loss mean: 0.265979 2021-06-10 18:12:24.871: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:12:24.871: INFO @log_variables: train gender_confidence/accuracy mean: 0.326823 2021-06-10 18:12:24.871: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:12:24.871: INFO @log_variables: train age_confidence/accuracy mean: 0.499060 2021-06-10 18:12:24.872: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:12:24.873: INFO @metrics_hook: train age_mae: 11.002 +-0.172 (13824) 2021-06-10 18:12:24.875: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-06-10 18:12:26.853: INFO @decay_lr : LR updated to `6.941611e-05` 2021-06-10 18:12:26.854: INFO @log_profile : T train: 17.414372 2021-06-10 18:12:26.854: INFO @log_profile : T read data: 0.273413 2021-06-10 18:12:26.854: INFO @log_profile : T hooks: 2.633778 2021-06-10 18:12:26.854: INFO @main_loop : Epoch 292 done 2021-06-10 18:12:26.854: INFO @main_loop : Training epoch 293 2021-06-10 18:12:45.181: INFO @log_variables: train loss nanmean: 1.764908 2021-06-10 18:12:45.181: INFO @log_variables: train age_loss mean: 0.973956 2021-06-10 18:12:45.181: INFO @log_variables: train gender_loss mean: 0.361192 2021-06-10 18:12:45.181: INFO @log_variables: train age_mae mean: 10.899632 2021-06-10 18:12:45.181: INFO @log_variables: train gender_accuracy mean: 0.838686 2021-06-10 18:12:45.182: INFO @log_variables: train artificial_age_loss mean: 0.264376 2021-06-10 18:12:45.182: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:12:45.182: INFO @log_variables: train gender_confidence/accuracy mean: 0.321036 2021-06-10 18:12:45.182: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:12:45.182: INFO @log_variables: train age_confidence/accuracy mean: 0.499349 2021-06-10 18:12:45.182: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:12:45.183: INFO @metrics_hook: train age_mae: 10.900 +-0.170 (13824) 2021-06-10 18:12:45.184: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-06-10 18:12:47.172: INFO @decay_lr : LR updated to `6.9069036e-05` 2021-06-10 18:12:47.173: INFO @log_profile : T train: 17.369794 2021-06-10 18:12:47.173: INFO @log_profile : T read data: 0.266063 2021-06-10 18:12:47.173: INFO @log_profile : T hooks: 2.635038 2021-06-10 18:12:47.173: INFO @main_loop : Epoch 293 done 2021-06-10 18:12:47.173: INFO @main_loop : Training epoch 294 2021-06-10 18:13:05.450: INFO @log_variables: train loss nanmean: 1.782025 2021-06-10 18:13:05.450: INFO @log_variables: train age_loss mean: 0.984011 2021-06-10 18:13:05.450: INFO @log_variables: train gender_loss mean: 0.369161 2021-06-10 18:13:05.450: INFO @log_variables: train age_mae mean: 10.993921 2021-06-10 18:13:05.450: INFO @log_variables: train gender_accuracy mean: 0.833116 2021-06-10 18:13:05.450: INFO @log_variables: train artificial_age_loss mean: 0.265755 2021-06-10 18:13:05.450: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:13:05.450: INFO @log_variables: train gender_confidence/accuracy mean: 0.325797 2021-06-10 18:13:05.451: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:13:05.451: INFO @log_variables: train age_confidence/accuracy mean: 0.501014 2021-06-10 18:13:05.451: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:13:05.453: INFO @metrics_hook: train age_mae: 10.994 +-0.173 (13800) 2021-06-10 18:13:05.456: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13800) 2021-06-10 18:13:07.378: INFO @decay_lr : LR updated to `6.872369e-05` 2021-06-10 18:13:07.379: INFO @log_profile : T train: 17.172270 2021-06-10 18:13:07.380: INFO @log_profile : T read data: 0.410597 2021-06-10 18:13:07.380: INFO @log_profile : T hooks: 2.574518 2021-06-10 18:13:07.380: INFO @main_loop : Epoch 294 done 2021-06-10 18:13:07.380: INFO @main_loop : Training epoch 295 2021-06-10 18:13:25.844: INFO @log_variables: train loss nanmean: 1.748477 2021-06-10 18:13:25.844: INFO @log_variables: train age_loss mean: 0.961747 2021-06-10 18:13:25.844: INFO @log_variables: train gender_loss mean: 0.360073 2021-06-10 18:13:25.844: INFO @log_variables: train age_mae mean: 10.765661 2021-06-10 18:13:25.844: INFO @log_variables: train gender_accuracy mean: 0.837818 2021-06-10 18:13:25.844: INFO @log_variables: train artificial_age_loss mean: 0.265417 2021-06-10 18:13:25.844: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:13:25.844: INFO @log_variables: train gender_confidence/accuracy mean: 0.323134 2021-06-10 18:13:25.844: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:13:25.844: INFO @log_variables: train age_confidence/accuracy mean: 0.491826 2021-06-10 18:13:25.845: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:13:25.846: INFO @metrics_hook: train age_mae: 10.766 +-0.169 (13824) 2021-06-10 18:13:25.848: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-06-10 18:13:27.810: INFO @decay_lr : LR updated to `6.838007e-05` 2021-06-10 18:13:27.811: INFO @log_profile : T train: 17.474637 2021-06-10 18:13:27.811: INFO @log_profile : T read data: 0.275933 2021-06-10 18:13:27.811: INFO @log_profile : T hooks: 2.631933 2021-06-10 18:13:27.812: INFO @main_loop : Epoch 295 done 2021-06-10 18:13:27.812: INFO @main_loop : Training epoch 296 2021-06-10 18:13:46.125: INFO @log_variables: train loss nanmean: 1.804845 2021-06-10 18:13:46.125: INFO @log_variables: train age_loss mean: 0.974383 2021-06-10 18:13:46.126: INFO @log_variables: train gender_loss mean: 0.363697 2021-06-10 18:13:46.126: INFO @log_variables: train age_mae mean: 10.894797 2021-06-10 18:13:46.126: INFO @log_variables: train gender_accuracy mean: 0.839699 2021-06-10 18:13:46.126: INFO @log_variables: train artificial_age_loss mean: 0.265874 2021-06-10 18:13:46.126: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:13:46.126: INFO @log_variables: train gender_confidence/accuracy mean: 0.327474 2021-06-10 18:13:46.126: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:13:46.126: INFO @log_variables: train age_confidence/accuracy mean: 0.495153 2021-06-10 18:13:46.126: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:13:46.127: INFO @metrics_hook: train age_mae: 10.895 +-0.170 (13824) 2021-06-10 18:13:46.129: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:13:48.131: INFO @decay_lr : LR updated to `6.803817e-05` 2021-06-10 18:13:48.132: INFO @log_profile : T train: 17.390494 2021-06-10 18:13:48.132: INFO @log_profile : T read data: 0.263022 2021-06-10 18:13:48.132: INFO @log_profile : T hooks: 2.619464 2021-06-10 18:13:48.132: INFO @main_loop : Epoch 296 done 2021-06-10 18:13:48.132: INFO @main_loop : Training epoch 297 2021-06-10 18:14:06.510: INFO @log_variables: train loss nanmean: 1.805766 2021-06-10 18:14:06.510: INFO @log_variables: train age_loss mean: 0.982835 2021-06-10 18:14:06.511: INFO @log_variables: train gender_loss mean: 0.364210 2021-06-10 18:14:06.511: INFO @log_variables: train age_mae mean: 10.975688 2021-06-10 18:14:06.511: INFO @log_variables: train gender_accuracy mean: 0.838976 2021-06-10 18:14:06.511: INFO @log_variables: train artificial_age_loss mean: 0.267066 2021-06-10 18:14:06.511: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:14:06.511: INFO @log_variables: train gender_confidence/accuracy mean: 0.321759 2021-06-10 18:14:06.511: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:14:06.511: INFO @log_variables: train age_confidence/accuracy mean: 0.496889 2021-06-10 18:14:06.511: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:14:06.513: INFO @metrics_hook: train age_mae: 10.976 +-0.170 (13824) 2021-06-10 18:14:06.515: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-06-10 18:14:08.591: INFO @decay_lr : LR updated to `6.769798e-05` 2021-06-10 18:14:08.592: INFO @log_profile : T train: 17.394426 2021-06-10 18:14:08.592: INFO @log_profile : T read data: 0.269459 2021-06-10 18:14:08.593: INFO @log_profile : T hooks: 2.747146 2021-06-10 18:14:08.593: INFO @main_loop : Epoch 297 done 2021-06-10 18:14:08.593: INFO @main_loop : Training epoch 298 2021-06-10 18:14:27.034: INFO @log_variables: train loss nanmean: 1.753513 2021-06-10 18:14:27.034: INFO @log_variables: train age_loss mean: 0.957148 2021-06-10 18:14:27.034: INFO @log_variables: train gender_loss mean: 0.360358 2021-06-10 18:14:27.034: INFO @log_variables: train age_mae mean: 10.745176 2021-06-10 18:14:27.034: INFO @log_variables: train gender_accuracy mean: 0.837536 2021-06-10 18:14:27.035: INFO @log_variables: train artificial_age_loss mean: 0.266393 2021-06-10 18:14:27.035: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:14:27.035: INFO @log_variables: train gender_confidence/accuracy mean: 0.331449 2021-06-10 18:14:27.035: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:14:27.035: INFO @log_variables: train age_confidence/accuracy mean: 0.492464 2021-06-10 18:14:27.035: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:14:27.037: INFO @metrics_hook: train age_mae: 10.745 +-0.171 (13800) 2021-06-10 18:14:27.039: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13800) 2021-06-10 18:14:28.955: INFO @decay_lr : LR updated to `6.735949e-05` 2021-06-10 18:14:28.956: INFO @log_profile : T train: 17.337203 2021-06-10 18:14:28.957: INFO @log_profile : T read data: 0.417613 2021-06-10 18:14:28.957: INFO @log_profile : T hooks: 2.560488 2021-06-10 18:14:28.957: INFO @main_loop : Epoch 298 done 2021-06-10 18:14:28.957: INFO @main_loop : Training epoch 299 2021-06-10 18:14:47.383: INFO @log_variables: train loss nanmean: 1.763923 2021-06-10 18:14:47.383: INFO @log_variables: train age_loss mean: 0.962835 2021-06-10 18:14:47.383: INFO @log_variables: train gender_loss mean: 0.357952 2021-06-10 18:14:47.383: INFO @log_variables: train age_mae mean: 10.774706 2021-06-10 18:14:47.383: INFO @log_variables: train gender_accuracy mean: 0.837818 2021-06-10 18:14:47.383: INFO @log_variables: train artificial_age_loss mean: 0.267147 2021-06-10 18:14:47.383: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:14:47.383: INFO @log_variables: train gender_confidence/accuracy mean: 0.331597 2021-06-10 18:14:47.383: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:14:47.383: INFO @log_variables: train age_confidence/accuracy mean: 0.495660 2021-06-10 18:14:47.383: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:14:47.385: INFO @metrics_hook: train age_mae: 10.775 +-0.165 (13824) 2021-06-10 18:14:47.387: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-06-10 18:14:49.362: INFO @decay_lr : LR updated to `6.7022695e-05` 2021-06-10 18:14:49.363: INFO @log_profile : T train: 17.477403 2021-06-10 18:14:49.363: INFO @log_profile : T read data: 0.263677 2021-06-10 18:14:49.363: INFO @log_profile : T hooks: 2.616163 2021-06-10 18:14:49.363: INFO @main_loop : Epoch 299 done 2021-06-10 18:14:49.363: INFO @main_loop : Training epoch 300 2021-06-10 18:15:07.803: INFO @log_variables: train loss nanmean: 1.737034 2021-06-10 18:15:07.804: INFO @log_variables: train age_loss mean: 0.964637 2021-06-10 18:15:07.804: INFO @log_variables: train gender_loss mean: 0.353807 2021-06-10 18:15:07.804: INFO @log_variables: train age_mae mean: 10.794861 2021-06-10 18:15:07.804: INFO @log_variables: train gender_accuracy mean: 0.842810 2021-06-10 18:15:07.804: INFO @log_variables: train artificial_age_loss mean: 0.265853 2021-06-10 18:15:07.804: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:15:07.804: INFO @log_variables: train gender_confidence/accuracy mean: 0.331525 2021-06-10 18:15:07.805: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:15:07.805: INFO @log_variables: train age_confidence/accuracy mean: 0.499928 2021-06-10 18:15:07.805: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:15:07.808: INFO @metrics_hook: train age_mae: 10.795 +-0.167 (13824) 2021-06-10 18:15:07.810: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-06-10 18:15:09.824: INFO @decay_lr : LR updated to `6.668758e-05` 2021-06-10 18:15:09.826: INFO @log_profile : T train: 17.449874 2021-06-10 18:15:09.826: INFO @log_profile : T read data: 0.272273 2021-06-10 18:15:09.826: INFO @log_profile : T hooks: 2.691317 2021-06-10 18:15:09.826: INFO @main_loop : Epoch 300 done 2021-06-10 18:15:09.826: INFO @main_loop : Training epoch 301 2021-06-10 18:15:28.122: INFO @log_variables: train loss nanmean: 1.768482 2021-06-10 18:15:28.122: INFO @log_variables: train age_loss mean: 0.953198 2021-06-10 18:15:28.122: INFO @log_variables: train gender_loss mean: 0.356140 2021-06-10 18:15:28.122: INFO @log_variables: train age_mae mean: 10.709298 2021-06-10 18:15:28.122: INFO @log_variables: train gender_accuracy mean: 0.843605 2021-06-10 18:15:28.122: INFO @log_variables: train artificial_age_loss mean: 0.267185 2021-06-10 18:15:28.122: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:15:28.123: INFO @log_variables: train gender_confidence/accuracy mean: 0.324508 2021-06-10 18:15:28.123: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:15:28.123: INFO @log_variables: train age_confidence/accuracy mean: 0.497758 2021-06-10 18:15:28.123: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:15:28.125: INFO @metrics_hook: train age_mae: 10.709 +-0.169 (13824) 2021-06-10 18:15:28.127: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:15:30.058: INFO @decay_lr : LR updated to `6.635414e-05` 2021-06-10 18:15:30.059: INFO @log_profile : T train: 17.342186 2021-06-10 18:15:30.059: INFO @log_profile : T read data: 0.264833 2021-06-10 18:15:30.059: INFO @log_profile : T hooks: 2.577519 2021-06-10 18:15:30.059: INFO @main_loop : Epoch 301 done 2021-06-10 18:15:30.060: INFO @main_loop : Training epoch 302 2021-06-10 18:15:48.518: INFO @log_variables: train loss nanmean: 1.809015 2021-06-10 18:15:48.518: INFO @log_variables: train age_loss mean: 0.976267 2021-06-10 18:15:48.518: INFO @log_variables: train gender_loss mean: 0.362493 2021-06-10 18:15:48.518: INFO @log_variables: train age_mae mean: 10.918213 2021-06-10 18:15:48.518: INFO @log_variables: train gender_accuracy mean: 0.837101 2021-06-10 18:15:48.518: INFO @log_variables: train artificial_age_loss mean: 0.268389 2021-06-10 18:15:48.518: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:15:48.518: INFO @log_variables: train gender_confidence/accuracy mean: 0.326884 2021-06-10 18:15:48.518: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:15:48.518: INFO @log_variables: train age_confidence/accuracy mean: 0.489275 2021-06-10 18:15:48.518: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:15:48.519: INFO @metrics_hook: train age_mae: 10.918 +-0.169 (13800) 2021-06-10 18:15:48.521: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13800) 2021-06-10 18:15:50.586: INFO @decay_lr : LR updated to `6.6022374e-05` 2021-06-10 18:15:50.587: INFO @log_profile : T train: 17.323760 2021-06-10 18:15:50.587: INFO @log_profile : T read data: 0.414516 2021-06-10 18:15:50.587: INFO @log_profile : T hooks: 2.739891 2021-06-10 18:15:50.587: INFO @main_loop : Epoch 302 done 2021-06-10 18:15:50.587: INFO @main_loop : Training epoch 303 2021-06-10 18:16:09.026: INFO @log_variables: train loss nanmean: 1.790039 2021-06-10 18:16:09.027: INFO @log_variables: train age_loss mean: 0.962883 2021-06-10 18:16:09.027: INFO @log_variables: train gender_loss mean: 0.361690 2021-06-10 18:16:09.027: INFO @log_variables: train age_mae mean: 10.805324 2021-06-10 18:16:09.027: INFO @log_variables: train gender_accuracy mean: 0.840567 2021-06-10 18:16:09.027: INFO @log_variables: train artificial_age_loss mean: 0.265583 2021-06-10 18:16:09.027: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:16:09.027: INFO @log_variables: train gender_confidence/accuracy mean: 0.325738 2021-06-10 18:16:09.027: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:16:09.027: INFO @log_variables: train age_confidence/accuracy mean: 0.490307 2021-06-10 18:16:09.027: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:16:09.029: INFO @metrics_hook: train age_mae: 10.805 +-0.167 (13824) 2021-06-10 18:16:09.030: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-06-10 18:16:11.099: INFO @decay_lr : LR updated to `6.5692264e-05` 2021-06-10 18:16:11.100: INFO @log_profile : T train: 17.464130 2021-06-10 18:16:11.100: INFO @log_profile : T read data: 0.273485 2021-06-10 18:16:11.100: INFO @log_profile : T hooks: 2.726409 2021-06-10 18:16:11.100: INFO @main_loop : Epoch 303 done 2021-06-10 18:16:11.100: INFO @main_loop : Training epoch 304 2021-06-10 18:16:29.261: INFO @log_variables: train loss nanmean: 1.756359 2021-06-10 18:16:29.261: INFO @log_variables: train age_loss mean: 0.976134 2021-06-10 18:16:29.261: INFO @log_variables: train gender_loss mean: 0.351204 2021-06-10 18:16:29.261: INFO @log_variables: train age_mae mean: 10.894458 2021-06-10 18:16:29.261: INFO @log_variables: train gender_accuracy mean: 0.843461 2021-06-10 18:16:29.261: INFO @log_variables: train artificial_age_loss mean: 0.265120 2021-06-10 18:16:29.262: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:16:29.262: INFO @log_variables: train gender_confidence/accuracy mean: 0.320747 2021-06-10 18:16:29.262: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:16:29.262: INFO @log_variables: train age_confidence/accuracy mean: 0.492911 2021-06-10 18:16:29.262: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:16:29.264: INFO @metrics_hook: train age_mae: 10.894 +-0.169 (13824) 2021-06-10 18:16:29.266: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-06-10 18:16:31.299: INFO @decay_lr : LR updated to `6.5363805e-05` 2021-06-10 18:16:31.300: INFO @log_profile : T train: 17.207483 2021-06-10 18:16:31.300: INFO @log_profile : T read data: 0.268880 2021-06-10 18:16:31.300: INFO @log_profile : T hooks: 2.675729 2021-06-10 18:16:31.300: INFO @main_loop : Epoch 304 done 2021-06-10 18:16:31.300: INFO @main_loop : Training epoch 305 2021-06-10 18:16:49.603: INFO @log_variables: train loss nanmean: 1.808309 2021-06-10 18:16:49.603: INFO @log_variables: train age_loss mean: 0.968141 2021-06-10 18:16:49.603: INFO @log_variables: train gender_loss mean: 0.361234 2021-06-10 18:16:49.603: INFO @log_variables: train age_mae mean: 10.821206 2021-06-10 18:16:49.603: INFO @log_variables: train gender_accuracy mean: 0.835576 2021-06-10 18:16:49.603: INFO @log_variables: train artificial_age_loss mean: 0.267448 2021-06-10 18:16:49.603: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:16:49.603: INFO @log_variables: train gender_confidence/accuracy mean: 0.321253 2021-06-10 18:16:49.603: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:16:49.603: INFO @log_variables: train age_confidence/accuracy mean: 0.491319 2021-06-10 18:16:49.603: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:16:49.604: INFO @metrics_hook: train age_mae: 10.821 +-0.168 (13824) 2021-06-10 18:16:49.606: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:16:51.654: INFO @decay_lr : LR updated to `6.5036984e-05` 2021-06-10 18:16:51.655: INFO @log_profile : T train: 17.353519 2021-06-10 18:16:51.655: INFO @log_profile : T read data: 0.266291 2021-06-10 18:16:51.655: INFO @log_profile : T hooks: 2.685955 2021-06-10 18:16:51.655: INFO @main_loop : Epoch 305 done 2021-06-10 18:16:51.655: INFO @main_loop : Training epoch 306 2021-06-10 18:17:10.318: INFO @log_variables: train loss nanmean: 1.784408 2021-06-10 18:17:10.318: INFO @log_variables: train age_loss mean: 0.975696 2021-06-10 18:17:10.318: INFO @log_variables: train gender_loss mean: 0.352517 2021-06-10 18:17:10.319: INFO @log_variables: train age_mae mean: 10.889350 2021-06-10 18:17:10.319: INFO @log_variables: train gender_accuracy mean: 0.844348 2021-06-10 18:17:10.319: INFO @log_variables: train artificial_age_loss mean: 0.265717 2021-06-10 18:17:10.319: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:17:10.319: INFO @log_variables: train gender_confidence/accuracy mean: 0.320870 2021-06-10 18:17:10.319: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:17:10.319: INFO @log_variables: train age_confidence/accuracy mean: 0.491594 2021-06-10 18:17:10.319: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:17:10.321: INFO @metrics_hook: train age_mae: 10.889 +-0.171 (13800) 2021-06-10 18:17:10.323: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13800) 2021-06-10 18:17:12.324: INFO @decay_lr : LR updated to `6.47118e-05` 2021-06-10 18:17:12.325: INFO @log_profile : T train: 17.509650 2021-06-10 18:17:12.325: INFO @log_profile : T read data: 0.430706 2021-06-10 18:17:12.325: INFO @log_profile : T hooks: 2.679647 2021-06-10 18:17:12.325: INFO @main_loop : Epoch 306 done 2021-06-10 18:17:12.325: INFO @main_loop : Training epoch 307 2021-06-10 18:17:30.598: INFO @log_variables: train loss nanmean: 1.767636 2021-06-10 18:17:30.599: INFO @log_variables: train age_loss mean: 0.974038 2021-06-10 18:17:30.599: INFO @log_variables: train gender_loss mean: 0.360945 2021-06-10 18:17:30.599: INFO @log_variables: train age_mae mean: 10.891321 2021-06-10 18:17:30.599: INFO @log_variables: train gender_accuracy mean: 0.834985 2021-06-10 18:17:30.599: INFO @log_variables: train artificial_age_loss mean: 0.268818 2021-06-10 18:17:30.599: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:17:30.599: INFO @log_variables: train gender_confidence/accuracy mean: 0.330391 2021-06-10 18:17:30.599: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:17:30.599: INFO @log_variables: train age_confidence/accuracy mean: 0.490198 2021-06-10 18:17:30.599: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:17:30.601: INFO @metrics_hook: train age_mae: 10.891 +-0.170 (13823) 2021-06-10 18:17:30.602: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13823) 2021-06-10 18:17:32.667: INFO @decay_lr : LR updated to `6.438824e-05` 2021-06-10 18:17:32.669: INFO @log_profile : T train: 17.312884 2021-06-10 18:17:32.669: INFO @log_profile : T read data: 0.265938 2021-06-10 18:17:32.669: INFO @log_profile : T hooks: 2.715528 2021-06-10 18:17:32.669: INFO @main_loop : Epoch 307 done 2021-06-10 18:17:32.669: INFO @main_loop : Training epoch 308 2021-06-10 18:17:50.950: INFO @log_variables: train loss nanmean: 1.762167 2021-06-10 18:17:50.950: INFO @log_variables: train age_loss mean: 0.969455 2021-06-10 18:17:50.950: INFO @log_variables: train gender_loss mean: 0.360756 2021-06-10 18:17:50.950: INFO @log_variables: train age_mae mean: 10.861590 2021-06-10 18:17:50.950: INFO @log_variables: train gender_accuracy mean: 0.838397 2021-06-10 18:17:50.950: INFO @log_variables: train artificial_age_loss mean: 0.265337 2021-06-10 18:17:50.950: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:17:50.950: INFO @log_variables: train gender_confidence/accuracy mean: 0.328487 2021-06-10 18:17:50.950: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:17:50.950: INFO @log_variables: train age_confidence/accuracy mean: 0.504630 2021-06-10 18:17:50.950: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:17:50.952: INFO @metrics_hook: train age_mae: 10.862 +-0.170 (13824) 2021-06-10 18:17:50.954: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-06-10 18:17:52.926: INFO @decay_lr : LR updated to `6.40663e-05` 2021-06-10 18:17:52.928: INFO @log_profile : T train: 17.302366 2021-06-10 18:17:52.928: INFO @log_profile : T read data: 0.273188 2021-06-10 18:17:52.928: INFO @log_profile : T hooks: 2.633509 2021-06-10 18:17:52.928: INFO @main_loop : Epoch 308 done 2021-06-10 18:17:52.928: INFO @main_loop : Training epoch 309 2021-06-10 18:18:11.143: INFO @log_variables: train loss nanmean: 1.783938 2021-06-10 18:18:11.143: INFO @log_variables: train age_loss mean: 0.982942 2021-06-10 18:18:11.143: INFO @log_variables: train gender_loss mean: 0.355043 2021-06-10 18:18:11.143: INFO @log_variables: train age_mae mean: 10.978412 2021-06-10 18:18:11.143: INFO @log_variables: train gender_accuracy mean: 0.839554 2021-06-10 18:18:11.143: INFO @log_variables: train artificial_age_loss mean: 0.269361 2021-06-10 18:18:11.144: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:18:11.144: INFO @log_variables: train gender_confidence/accuracy mean: 0.325376 2021-06-10 18:18:11.144: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:18:11.144: INFO @log_variables: train age_confidence/accuracy mean: 0.498987 2021-06-10 18:18:11.144: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:18:11.146: INFO @metrics_hook: train age_mae: 10.978 +-0.170 (13824) 2021-06-10 18:18:11.148: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:18:13.078: INFO @decay_lr : LR updated to `6.374597e-05` 2021-06-10 18:18:13.080: INFO @log_profile : T train: 17.260472 2021-06-10 18:18:13.080: INFO @log_profile : T read data: 0.267228 2021-06-10 18:18:13.080: INFO @log_profile : T hooks: 2.575750 2021-06-10 18:18:13.080: INFO @main_loop : Epoch 309 done 2021-06-10 18:18:13.080: INFO @main_loop : Training epoch 310 2021-06-10 18:18:31.546: INFO @log_variables: train loss nanmean: 1.798268 2021-06-10 18:18:31.546: INFO @log_variables: train age_loss mean: 0.980812 2021-06-10 18:18:31.546: INFO @log_variables: train gender_loss mean: 0.361840 2021-06-10 18:18:31.546: INFO @log_variables: train age_mae mean: 10.948669 2021-06-10 18:18:31.546: INFO @log_variables: train gender_accuracy mean: 0.837754 2021-06-10 18:18:31.547: INFO @log_variables: train artificial_age_loss mean: 0.266732 2021-06-10 18:18:31.547: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:18:31.547: INFO @log_variables: train gender_confidence/accuracy mean: 0.331739 2021-06-10 18:18:31.547: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:18:31.547: INFO @log_variables: train age_confidence/accuracy mean: 0.500652 2021-06-10 18:18:31.547: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:18:31.549: INFO @metrics_hook: train age_mae: 10.949 +-0.171 (13800) 2021-06-10 18:18:31.551: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13800) 2021-06-10 18:18:33.606: INFO @decay_lr : LR updated to `6.342724e-05` 2021-06-10 18:18:33.607: INFO @log_profile : T train: 17.345962 2021-06-10 18:18:33.607: INFO @log_profile : T read data: 0.409338 2021-06-10 18:18:33.607: INFO @log_profile : T hooks: 2.723528 2021-06-10 18:18:33.607: INFO @main_loop : Epoch 310 done 2021-06-10 18:18:33.607: INFO @main_loop : Training epoch 311 2021-06-10 18:18:51.913: INFO @log_variables: train loss nanmean: 1.767595 2021-06-10 18:18:51.914: INFO @log_variables: train age_loss mean: 0.969724 2021-06-10 18:18:51.914: INFO @log_variables: train gender_loss mean: 0.344439 2021-06-10 18:18:51.914: INFO @log_variables: train age_mae mean: 10.830967 2021-06-10 18:18:51.914: INFO @log_variables: train gender_accuracy mean: 0.846137 2021-06-10 18:18:51.914: INFO @log_variables: train artificial_age_loss mean: 0.265353 2021-06-10 18:18:51.914: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:18:51.914: INFO @log_variables: train gender_confidence/accuracy mean: 0.318504 2021-06-10 18:18:51.914: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:18:51.914: INFO @log_variables: train age_confidence/accuracy mean: 0.498481 2021-06-10 18:18:51.914: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:18:51.916: INFO @metrics_hook: train age_mae: 10.831 +-0.169 (13824) 2021-06-10 18:18:51.918: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-06-10 18:18:53.900: INFO @decay_lr : LR updated to `6.31101e-05` 2021-06-10 18:18:53.901: INFO @log_profile : T train: 17.347991 2021-06-10 18:18:53.901: INFO @log_profile : T read data: 0.264655 2021-06-10 18:18:53.901: INFO @log_profile : T hooks: 2.632400 2021-06-10 18:18:53.902: INFO @main_loop : Epoch 311 done 2021-06-10 18:18:53.902: INFO @main_loop : Training epoch 312 2021-06-10 18:19:12.196: INFO @log_variables: train loss nanmean: 1.769304 2021-06-10 18:19:12.196: INFO @log_variables: train age_loss mean: 0.972751 2021-06-10 18:19:12.196: INFO @log_variables: train gender_loss mean: 0.358913 2021-06-10 18:19:12.196: INFO @log_variables: train age_mae mean: 10.879073 2021-06-10 18:19:12.196: INFO @log_variables: train gender_accuracy mean: 0.841218 2021-06-10 18:19:12.196: INFO @log_variables: train artificial_age_loss mean: 0.267280 2021-06-10 18:19:12.196: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:19:12.196: INFO @log_variables: train gender_confidence/accuracy mean: 0.319878 2021-06-10 18:19:12.196: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:19:12.197: INFO @log_variables: train age_confidence/accuracy mean: 0.494575 2021-06-10 18:19:12.197: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:19:12.199: INFO @metrics_hook: train age_mae: 10.879 +-0.169 (13824) 2021-06-10 18:19:12.200: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-06-10 18:19:18.100: INFO @decay_lr : LR updated to `6.279455e-05` 2021-06-10 18:19:18.101: INFO @log_profile : T train: 17.330911 2021-06-10 18:19:18.101: INFO @log_profile : T read data: 0.264145 2021-06-10 18:19:18.101: INFO @log_profile : T hooks: 6.556066 2021-06-10 18:19:18.101: INFO @main_loop : Epoch 312 done 2021-06-10 18:19:18.101: INFO @main_loop : Training epoch 313 2021-06-10 18:19:36.392: INFO @log_variables: train loss nanmean: 1.797215 2021-06-10 18:19:36.392: INFO @log_variables: train age_loss mean: 0.980810 2021-06-10 18:19:36.392: INFO @log_variables: train gender_loss mean: 0.359700 2021-06-10 18:19:36.392: INFO @log_variables: train age_mae mean: 10.942924 2021-06-10 18:19:36.392: INFO @log_variables: train gender_accuracy mean: 0.839916 2021-06-10 18:19:36.392: INFO @log_variables: train artificial_age_loss mean: 0.264407 2021-06-10 18:19:36.392: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:19:36.392: INFO @log_variables: train gender_confidence/accuracy mean: 0.321470 2021-06-10 18:19:36.392: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:19:36.392: INFO @log_variables: train age_confidence/accuracy mean: 0.499638 2021-06-10 18:19:36.393: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:19:36.394: INFO @metrics_hook: train age_mae: 10.943 +-0.171 (13824) 2021-06-10 18:19:36.396: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-06-10 18:19:38.387: INFO @decay_lr : LR updated to `6.2480576e-05` 2021-06-10 18:19:38.388: INFO @log_profile : T train: 17.318062 2021-06-10 18:19:38.389: INFO @log_profile : T read data: 0.268716 2021-06-10 18:19:38.389: INFO @log_profile : T hooks: 2.651927 2021-06-10 18:19:38.389: INFO @main_loop : Epoch 313 done 2021-06-10 18:19:38.389: INFO @main_loop : Training epoch 314 2021-06-10 18:19:56.866: INFO @log_variables: train loss nanmean: 1.772465 2021-06-10 18:19:56.866: INFO @log_variables: train age_loss mean: 0.960620 2021-06-10 18:19:56.866: INFO @log_variables: train gender_loss mean: 0.353241 2021-06-10 18:19:56.866: INFO @log_variables: train age_mae mean: 10.785478 2021-06-10 18:19:56.866: INFO @log_variables: train gender_accuracy mean: 0.842754 2021-06-10 18:19:56.866: INFO @log_variables: train artificial_age_loss mean: 0.265824 2021-06-10 18:19:56.866: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:19:56.867: INFO @log_variables: train gender_confidence/accuracy mean: 0.330797 2021-06-10 18:19:56.867: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:19:56.867: INFO @log_variables: train age_confidence/accuracy mean: 0.491957 2021-06-10 18:19:56.867: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:19:56.869: INFO @metrics_hook: train age_mae: 10.785 +-0.168 (13800) 2021-06-10 18:19:56.871: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13800) 2021-06-10 18:19:58.908: INFO @decay_lr : LR updated to `6.2168176e-05` 2021-06-10 18:19:58.909: INFO @log_profile : T train: 17.352367 2021-06-10 18:19:58.909: INFO @log_profile : T read data: 0.415652 2021-06-10 18:19:58.909: INFO @log_profile : T hooks: 2.703279 2021-06-10 18:19:58.910: INFO @main_loop : Epoch 314 done 2021-06-10 18:19:58.910: INFO @main_loop : Training epoch 315 2021-06-10 18:20:17.320: INFO @log_variables: train loss nanmean: 1.768381 2021-06-10 18:20:17.320: INFO @log_variables: train age_loss mean: 0.973517 2021-06-10 18:20:17.321: INFO @log_variables: train gender_loss mean: 0.347966 2021-06-10 18:20:17.321: INFO @log_variables: train age_mae mean: 10.862299 2021-06-10 18:20:17.321: INFO @log_variables: train gender_accuracy mean: 0.844401 2021-06-10 18:20:17.321: INFO @log_variables: train artificial_age_loss mean: 0.265110 2021-06-10 18:20:17.321: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:20:17.321: INFO @log_variables: train gender_confidence/accuracy mean: 0.320095 2021-06-10 18:20:17.321: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:20:17.321: INFO @log_variables: train age_confidence/accuracy mean: 0.490958 2021-06-10 18:20:17.321: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:20:17.323: INFO @metrics_hook: train age_mae: 10.862 +-0.170 (13824) 2021-06-10 18:20:17.325: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:20:19.314: INFO @decay_lr : LR updated to `6.185733e-05` 2021-06-10 18:20:19.315: INFO @log_profile : T train: 17.450635 2021-06-10 18:20:19.316: INFO @log_profile : T read data: 0.269688 2021-06-10 18:20:19.316: INFO @log_profile : T hooks: 2.637847 2021-06-10 18:20:19.316: INFO @main_loop : Epoch 315 done 2021-06-10 18:20:19.316: INFO @main_loop : Training epoch 316 2021-06-10 18:20:37.558: INFO @log_variables: train loss nanmean: 1.758530 2021-06-10 18:20:37.558: INFO @log_variables: train age_loss mean: 0.971772 2021-06-10 18:20:37.558: INFO @log_variables: train gender_loss mean: 0.352749 2021-06-10 18:20:37.558: INFO @log_variables: train age_mae mean: 10.848926 2021-06-10 18:20:37.559: INFO @log_variables: train gender_accuracy mean: 0.841435 2021-06-10 18:20:37.559: INFO @log_variables: train artificial_age_loss mean: 0.265921 2021-06-10 18:20:37.559: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:20:37.559: INFO @log_variables: train gender_confidence/accuracy mean: 0.321687 2021-06-10 18:20:37.559: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:20:37.559: INFO @log_variables: train age_confidence/accuracy mean: 0.497034 2021-06-10 18:20:37.559: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:20:37.561: INFO @metrics_hook: train age_mae: 10.849 +-0.169 (13824) 2021-06-10 18:20:37.563: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-06-10 18:20:39.541: INFO @decay_lr : LR updated to `6.1548046e-05` 2021-06-10 18:20:39.542: INFO @log_profile : T train: 17.273852 2021-06-10 18:20:39.542: INFO @log_profile : T read data: 0.272890 2021-06-10 18:20:39.542: INFO @log_profile : T hooks: 2.631553 2021-06-10 18:20:39.542: INFO @main_loop : Epoch 316 done 2021-06-10 18:20:39.542: INFO @main_loop : Training epoch 317 2021-06-10 18:20:57.727: INFO @log_variables: train loss nanmean: 1.750088 2021-06-10 18:20:57.727: INFO @log_variables: train age_loss mean: 0.959266 2021-06-10 18:20:57.727: INFO @log_variables: train gender_loss mean: 0.347894 2021-06-10 18:20:57.727: INFO @log_variables: train age_mae mean: 10.756104 2021-06-10 18:20:57.727: INFO @log_variables: train gender_accuracy mean: 0.845848 2021-06-10 18:20:57.727: INFO @log_variables: train artificial_age_loss mean: 0.263619 2021-06-10 18:20:57.727: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:20:57.727: INFO @log_variables: train gender_confidence/accuracy mean: 0.326534 2021-06-10 18:20:57.727: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:20:57.728: INFO @log_variables: train age_confidence/accuracy mean: 0.501013 2021-06-10 18:20:57.728: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:20:57.730: INFO @metrics_hook: train age_mae: 10.756 +-0.169 (13824) 2021-06-10 18:20:57.732: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-06-10 18:20:59.738: INFO @decay_lr : LR updated to `6.124031e-05` 2021-06-10 18:20:59.740: INFO @log_profile : T train: 17.230201 2021-06-10 18:20:59.740: INFO @log_profile : T read data: 0.268416 2021-06-10 18:20:59.740: INFO @log_profile : T hooks: 2.650402 2021-06-10 18:20:59.740: INFO @main_loop : Epoch 317 done 2021-06-10 18:20:59.740: INFO @main_loop : Training epoch 318 2021-06-10 18:21:18.235: INFO @log_variables: train loss nanmean: 1.756302 2021-06-10 18:21:18.236: INFO @log_variables: train age_loss mean: 0.960821 2021-06-10 18:21:18.236: INFO @log_variables: train gender_loss mean: 0.355734 2021-06-10 18:21:18.236: INFO @log_variables: train age_mae mean: 10.752763 2021-06-10 18:21:18.236: INFO @log_variables: train gender_accuracy mean: 0.843551 2021-06-10 18:21:18.236: INFO @log_variables: train artificial_age_loss mean: 0.265833 2021-06-10 18:21:18.236: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:21:18.236: INFO @log_variables: train gender_confidence/accuracy mean: 0.319783 2021-06-10 18:21:18.236: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:21:18.236: INFO @log_variables: train age_confidence/accuracy mean: 0.489565 2021-06-10 18:21:18.236: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:21:18.238: INFO @metrics_hook: train age_mae: 10.753 +-0.168 (13800) 2021-06-10 18:21:18.240: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13800) 2021-06-10 18:21:20.219: INFO @decay_lr : LR updated to `6.0934108e-05` 2021-06-10 18:21:20.220: INFO @log_profile : T train: 17.401962 2021-06-10 18:21:20.220: INFO @log_profile : T read data: 0.402553 2021-06-10 18:21:20.220: INFO @log_profile : T hooks: 2.627125 2021-06-10 18:21:20.220: INFO @main_loop : Epoch 318 done 2021-06-10 18:21:20.220: INFO @main_loop : Training epoch 319 2021-06-10 18:21:38.458: INFO @log_variables: train loss nanmean: 1.738469 2021-06-10 18:21:38.458: INFO @log_variables: train age_loss mean: 0.960112 2021-06-10 18:21:38.458: INFO @log_variables: train gender_loss mean: 0.353963 2021-06-10 18:21:38.458: INFO @log_variables: train age_mae mean: 10.736631 2021-06-10 18:21:38.458: INFO @log_variables: train gender_accuracy mean: 0.842810 2021-06-10 18:21:38.458: INFO @log_variables: train artificial_age_loss mean: 0.264031 2021-06-10 18:21:38.458: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:21:38.458: INFO @log_variables: train gender_confidence/accuracy mean: 0.322627 2021-06-10 18:21:38.458: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:21:38.458: INFO @log_variables: train age_confidence/accuracy mean: 0.494068 2021-06-10 18:21:38.458: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:21:38.460: INFO @metrics_hook: train age_mae: 10.737 +-0.167 (13824) 2021-06-10 18:21:38.462: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-06-10 18:21:40.549: INFO @decay_lr : LR updated to `6.0629438e-05` 2021-06-10 18:21:40.550: INFO @log_profile : T train: 17.289044 2021-06-10 18:21:40.550: INFO @log_profile : T read data: 0.265616 2021-06-10 18:21:40.550: INFO @log_profile : T hooks: 2.727131 2021-06-10 18:21:40.550: INFO @main_loop : Epoch 319 done 2021-06-10 18:21:40.550: INFO @main_loop : Training epoch 320 2021-06-10 18:21:59.074: INFO @log_variables: train loss nanmean: 1.741340 2021-06-10 18:21:59.074: INFO @log_variables: train age_loss mean: 0.963596 2021-06-10 18:21:59.074: INFO @log_variables: train gender_loss mean: 0.350135 2021-06-10 18:21:59.074: INFO @log_variables: train age_mae mean: 10.767302 2021-06-10 18:21:59.074: INFO @log_variables: train gender_accuracy mean: 0.844763 2021-06-10 18:21:59.074: INFO @log_variables: train artificial_age_loss mean: 0.265938 2021-06-10 18:21:59.074: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:21:59.075: INFO @log_variables: train gender_confidence/accuracy mean: 0.321687 2021-06-10 18:21:59.075: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:21:59.075: INFO @log_variables: train age_confidence/accuracy mean: 0.500000 2021-06-10 18:21:59.075: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:21:59.077: INFO @metrics_hook: train age_mae: 10.767 +-0.166 (13824) 2021-06-10 18:21:59.079: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:22:01.093: INFO @decay_lr : LR updated to `6.0326292e-05` 2021-06-10 18:22:01.095: INFO @log_profile : T train: 17.552849 2021-06-10 18:22:01.095: INFO @log_profile : T read data: 0.270102 2021-06-10 18:22:01.095: INFO @log_profile : T hooks: 2.672118 2021-06-10 18:22:01.095: INFO @main_loop : Epoch 320 done 2021-06-10 18:22:01.095: INFO @main_loop : Training epoch 321 2021-06-10 18:22:19.347: INFO @log_variables: train loss nanmean: 1.715752 2021-06-10 18:22:19.348: INFO @log_variables: train age_loss mean: 0.956171 2021-06-10 18:22:19.348: INFO @log_variables: train gender_loss mean: 0.348351 2021-06-10 18:22:19.348: INFO @log_variables: train age_mae mean: 10.719580 2021-06-10 18:22:19.348: INFO @log_variables: train gender_accuracy mean: 0.844112 2021-06-10 18:22:19.348: INFO @log_variables: train artificial_age_loss mean: 0.263429 2021-06-10 18:22:19.348: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:22:19.348: INFO @log_variables: train gender_confidence/accuracy mean: 0.330440 2021-06-10 18:22:19.348: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:22:19.348: INFO @log_variables: train age_confidence/accuracy mean: 0.493634 2021-06-10 18:22:19.348: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:22:19.350: INFO @metrics_hook: train age_mae: 10.720 +-0.167 (13824) 2021-06-10 18:22:19.351: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:22:21.426: INFO @decay_lr : LR updated to `6.002466e-05` 2021-06-10 18:22:21.428: INFO @log_profile : T train: 17.293135 2021-06-10 18:22:21.428: INFO @log_profile : T read data: 0.269169 2021-06-10 18:22:21.428: INFO @log_profile : T hooks: 2.722066 2021-06-10 18:22:21.428: INFO @main_loop : Epoch 321 done 2021-06-10 18:22:21.428: INFO @main_loop : Training epoch 322 2021-06-10 18:22:39.971: INFO @log_variables: train loss nanmean: 1.741533 2021-06-10 18:22:39.971: INFO @log_variables: train age_loss mean: 0.979695 2021-06-10 18:22:39.971: INFO @log_variables: train gender_loss mean: 0.347470 2021-06-10 18:22:39.971: INFO @log_variables: train age_mae mean: 10.918467 2021-06-10 18:22:39.971: INFO @log_variables: train gender_accuracy mean: 0.843623 2021-06-10 18:22:39.971: INFO @log_variables: train artificial_age_loss mean: 0.266484 2021-06-10 18:22:39.972: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:22:39.972: INFO @log_variables: train gender_confidence/accuracy mean: 0.321884 2021-06-10 18:22:39.972: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:22:39.972: INFO @log_variables: train age_confidence/accuracy mean: 0.493913 2021-06-10 18:22:39.972: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:22:39.974: INFO @metrics_hook: train age_mae: 10.918 +-0.170 (13800) 2021-06-10 18:22:39.976: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13800) 2021-06-10 18:22:41.989: INFO @decay_lr : LR updated to `5.9724538e-05` 2021-06-10 18:22:41.990: INFO @log_profile : T train: 17.425572 2021-06-10 18:22:41.990: INFO @log_profile : T read data: 0.409811 2021-06-10 18:22:41.990: INFO @log_profile : T hooks: 2.677918 2021-06-10 18:22:41.990: INFO @main_loop : Epoch 322 done 2021-06-10 18:22:41.990: INFO @main_loop : Training epoch 323 2021-06-10 18:23:00.242: INFO @log_variables: train loss nanmean: 1.741478 2021-06-10 18:23:00.242: INFO @log_variables: train age_loss mean: 0.956495 2021-06-10 18:23:00.242: INFO @log_variables: train gender_loss mean: 0.357178 2021-06-10 18:23:00.242: INFO @log_variables: train age_mae mean: 10.742728 2021-06-10 18:23:00.243: INFO @log_variables: train gender_accuracy mean: 0.838903 2021-06-10 18:23:00.243: INFO @log_variables: train artificial_age_loss mean: 0.265336 2021-06-10 18:23:00.243: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:23:00.243: INFO @log_variables: train gender_confidence/accuracy mean: 0.326534 2021-06-10 18:23:00.243: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:23:00.243: INFO @log_variables: train age_confidence/accuracy mean: 0.498264 2021-06-10 18:23:00.243: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:23:00.247: INFO @metrics_hook: train age_mae: 10.743 +-0.169 (13824) 2021-06-10 18:23:00.249: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-06-10 18:23:02.281: INFO @decay_lr : LR updated to `5.9425915e-05` 2021-06-10 18:23:02.282: INFO @log_profile : T train: 17.298913 2021-06-10 18:23:02.282: INFO @log_profile : T read data: 0.266486 2021-06-10 18:23:02.282: INFO @log_profile : T hooks: 2.677153 2021-06-10 18:23:02.282: INFO @main_loop : Epoch 323 done 2021-06-10 18:23:02.282: INFO @main_loop : Training epoch 324 2021-06-10 18:23:20.668: INFO @log_variables: train loss nanmean: 1.715112 2021-06-10 18:23:20.668: INFO @log_variables: train age_loss mean: 0.945479 2021-06-10 18:23:20.668: INFO @log_variables: train gender_loss mean: 0.349271 2021-06-10 18:23:20.668: INFO @log_variables: train age_mae mean: 10.630459 2021-06-10 18:23:20.669: INFO @log_variables: train gender_accuracy mean: 0.842448 2021-06-10 18:23:20.669: INFO @log_variables: train artificial_age_loss mean: 0.264776 2021-06-10 18:23:20.669: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:23:20.669: INFO @log_variables: train gender_confidence/accuracy mean: 0.324436 2021-06-10 18:23:20.669: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:23:20.669: INFO @log_variables: train age_confidence/accuracy mean: 0.489222 2021-06-10 18:23:20.669: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:23:20.671: INFO @metrics_hook: train age_mae: 10.630 +-0.162 (13824) 2021-06-10 18:23:20.673: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-06-10 18:23:22.706: INFO @decay_lr : LR updated to `5.9128786e-05` 2021-06-10 18:23:22.708: INFO @log_profile : T train: 17.399088 2021-06-10 18:23:22.708: INFO @log_profile : T read data: 0.274395 2021-06-10 18:23:22.708: INFO @log_profile : T hooks: 2.701996 2021-06-10 18:23:22.708: INFO @main_loop : Epoch 324 done 2021-06-10 18:23:22.708: INFO @main_loop : Training epoch 325 2021-06-10 18:23:41.146: INFO @log_variables: train loss nanmean: 1.760625 2021-06-10 18:23:41.146: INFO @log_variables: train age_loss mean: 0.961934 2021-06-10 18:23:41.146: INFO @log_variables: train gender_loss mean: 0.359337 2021-06-10 18:23:41.146: INFO @log_variables: train age_mae mean: 10.764806 2021-06-10 18:23:41.146: INFO @log_variables: train gender_accuracy mean: 0.835720 2021-06-10 18:23:41.146: INFO @log_variables: train artificial_age_loss mean: 0.268237 2021-06-10 18:23:41.146: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:23:41.147: INFO @log_variables: train gender_confidence/accuracy mean: 0.326895 2021-06-10 18:23:41.147: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:23:41.147: INFO @log_variables: train age_confidence/accuracy mean: 0.489728 2021-06-10 18:23:41.147: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:23:41.149: INFO @metrics_hook: train age_mae: 10.765 +-0.167 (13824) 2021-06-10 18:23:41.151: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-06-10 18:23:43.164: INFO @decay_lr : LR updated to `5.8833142e-05` 2021-06-10 18:23:43.165: INFO @log_profile : T train: 17.436475 2021-06-10 18:23:43.165: INFO @log_profile : T read data: 0.280208 2021-06-10 18:23:43.165: INFO @log_profile : T hooks: 2.691334 2021-06-10 18:23:43.165: INFO @main_loop : Epoch 325 done 2021-06-10 18:23:43.165: INFO @main_loop : Training epoch 326 2021-06-10 18:24:01.615: INFO @log_variables: train loss nanmean: 1.770278 2021-06-10 18:24:01.615: INFO @log_variables: train age_loss mean: 0.973396 2021-06-10 18:24:01.615: INFO @log_variables: train gender_loss mean: 0.350150 2021-06-10 18:24:01.615: INFO @log_variables: train age_mae mean: 10.883714 2021-06-10 18:24:01.615: INFO @log_variables: train gender_accuracy mean: 0.849348 2021-06-10 18:24:01.615: INFO @log_variables: train artificial_age_loss mean: 0.266526 2021-06-10 18:24:01.615: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:24:01.615: INFO @log_variables: train gender_confidence/accuracy mean: 0.325290 2021-06-10 18:24:01.615: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:24:01.616: INFO @log_variables: train age_confidence/accuracy mean: 0.490290 2021-06-10 18:24:01.616: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:24:01.618: INFO @metrics_hook: train age_mae: 10.884 +-0.170 (13800) 2021-06-10 18:24:01.620: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13800) 2021-06-10 18:24:03.563: INFO @decay_lr : LR updated to `5.8538975e-05` 2021-06-10 18:24:03.564: INFO @log_profile : T train: 17.313074 2021-06-10 18:24:03.564: INFO @log_profile : T read data: 0.438446 2021-06-10 18:24:03.565: INFO @log_profile : T hooks: 2.599478 2021-06-10 18:24:03.565: INFO @main_loop : Epoch 326 done 2021-06-10 18:24:03.565: INFO @main_loop : Training epoch 327 2021-06-10 18:24:21.928: INFO @log_variables: train loss nanmean: 1.727932 2021-06-10 18:24:21.928: INFO @log_variables: train age_loss mean: 0.958066 2021-06-10 18:24:21.928: INFO @log_variables: train gender_loss mean: 0.355272 2021-06-10 18:24:21.928: INFO @log_variables: train age_mae mean: 10.751057 2021-06-10 18:24:21.929: INFO @log_variables: train gender_accuracy mean: 0.845124 2021-06-10 18:24:21.929: INFO @log_variables: train artificial_age_loss mean: 0.262717 2021-06-10 18:24:21.929: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:24:21.929: INFO @log_variables: train gender_confidence/accuracy mean: 0.321542 2021-06-10 18:24:21.929: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:24:21.929: INFO @log_variables: train age_confidence/accuracy mean: 0.491898 2021-06-10 18:24:21.929: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:24:21.931: INFO @metrics_hook: train age_mae: 10.751 +-0.169 (13824) 2021-06-10 18:24:21.933: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:24:23.956: INFO @decay_lr : LR updated to `5.824628e-05` 2021-06-10 18:24:23.957: INFO @log_profile : T train: 17.397852 2021-06-10 18:24:23.957: INFO @log_profile : T read data: 0.264321 2021-06-10 18:24:23.957: INFO @log_profile : T hooks: 2.681230 2021-06-10 18:24:23.957: INFO @main_loop : Epoch 327 done 2021-06-10 18:24:23.957: INFO @main_loop : Training epoch 328 2021-06-10 18:24:42.283: INFO @log_variables: train loss nanmean: 1.769816 2021-06-10 18:24:42.284: INFO @log_variables: train age_loss mean: 0.960686 2021-06-10 18:24:42.284: INFO @log_variables: train gender_loss mean: 0.354613 2021-06-10 18:24:42.284: INFO @log_variables: train age_mae mean: 10.748554 2021-06-10 18:24:42.284: INFO @log_variables: train gender_accuracy mean: 0.844618 2021-06-10 18:24:42.284: INFO @log_variables: train artificial_age_loss mean: 0.265326 2021-06-10 18:24:42.284: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:24:42.284: INFO @log_variables: train gender_confidence/accuracy mean: 0.327619 2021-06-10 18:24:42.284: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:24:42.284: INFO @log_variables: train age_confidence/accuracy mean: 0.486111 2021-06-10 18:24:42.284: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:24:42.286: INFO @metrics_hook: train age_mae: 10.749 +-0.168 (13824) 2021-06-10 18:24:42.288: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:24:44.217: INFO @decay_lr : LR updated to `5.795505e-05` 2021-06-10 18:24:44.218: INFO @log_profile : T train: 17.372139 2021-06-10 18:24:44.218: INFO @log_profile : T read data: 0.262975 2021-06-10 18:24:44.218: INFO @log_profile : T hooks: 2.577130 2021-06-10 18:24:44.219: INFO @main_loop : Epoch 328 done 2021-06-10 18:24:44.219: INFO @main_loop : Training epoch 329 2021-06-10 18:25:02.435: INFO @log_variables: train loss nanmean: 1.752548 2021-06-10 18:25:02.435: INFO @log_variables: train age_loss mean: 0.957431 2021-06-10 18:25:02.435: INFO @log_variables: train gender_loss mean: 0.354596 2021-06-10 18:25:02.435: INFO @log_variables: train age_mae mean: 10.717780 2021-06-10 18:25:02.435: INFO @log_variables: train gender_accuracy mean: 0.842810 2021-06-10 18:25:02.436: INFO @log_variables: train artificial_age_loss mean: 0.266683 2021-06-10 18:25:02.436: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:25:02.436: INFO @log_variables: train gender_confidence/accuracy mean: 0.326100 2021-06-10 18:25:02.436: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:25:02.436: INFO @log_variables: train age_confidence/accuracy mean: 0.493417 2021-06-10 18:25:02.436: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:25:02.438: INFO @metrics_hook: train age_mae: 10.718 +-0.168 (13824) 2021-06-10 18:25:02.440: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-06-10 18:25:04.387: INFO @decay_lr : LR updated to `5.7665275e-05` 2021-06-10 18:25:04.388: INFO @log_profile : T train: 17.250472 2021-06-10 18:25:04.388: INFO @log_profile : T read data: 0.266594 2021-06-10 18:25:04.389: INFO @log_profile : T hooks: 2.604476 2021-06-10 18:25:04.389: INFO @main_loop : Epoch 329 done 2021-06-10 18:25:04.389: INFO @main_loop : Training epoch 330 2021-06-10 18:25:22.682: INFO @log_variables: train loss nanmean: 1.751398 2021-06-10 18:25:22.682: INFO @log_variables: train age_loss mean: 0.959882 2021-06-10 18:25:22.682: INFO @log_variables: train gender_loss mean: 0.355124 2021-06-10 18:25:22.683: INFO @log_variables: train age_mae mean: 10.771919 2021-06-10 18:25:22.683: INFO @log_variables: train gender_accuracy mean: 0.839710 2021-06-10 18:25:22.683: INFO @log_variables: train artificial_age_loss mean: 0.267079 2021-06-10 18:25:22.683: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:25:22.683: INFO @log_variables: train gender_confidence/accuracy mean: 0.328333 2021-06-10 18:25:22.683: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:25:22.683: INFO @log_variables: train age_confidence/accuracy mean: 0.493406 2021-06-10 18:25:22.683: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:25:22.685: INFO @metrics_hook: train age_mae: 10.772 +-0.168 (13800) 2021-06-10 18:25:22.687: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13800) 2021-06-10 18:25:24.679: INFO @decay_lr : LR updated to `5.7376947e-05` 2021-06-10 18:25:24.680: INFO @log_profile : T train: 17.183016 2021-06-10 18:25:24.680: INFO @log_profile : T read data: 0.419753 2021-06-10 18:25:24.680: INFO @log_profile : T hooks: 2.641164 2021-06-10 18:25:24.680: INFO @main_loop : Epoch 330 done 2021-06-10 18:25:24.681: INFO @main_loop : Training epoch 331 2021-06-10 18:25:42.965: INFO @log_variables: train loss nanmean: 1.724368 2021-06-10 18:25:42.966: INFO @log_variables: train age_loss mean: 0.962143 2021-06-10 18:25:42.966: INFO @log_variables: train gender_loss mean: 0.342930 2021-06-10 18:25:42.966: INFO @log_variables: train age_mae mean: 10.781281 2021-06-10 18:25:42.966: INFO @log_variables: train gender_accuracy mean: 0.849465 2021-06-10 18:25:42.966: INFO @log_variables: train artificial_age_loss mean: 0.264327 2021-06-10 18:25:42.966: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:25:42.966: INFO @log_variables: train gender_confidence/accuracy mean: 0.322266 2021-06-10 18:25:42.966: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:25:42.966: INFO @log_variables: train age_confidence/accuracy mean: 0.490451 2021-06-10 18:25:42.966: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:25:42.967: INFO @metrics_hook: train age_mae: 10.781 +-0.168 (13824) 2021-06-10 18:25:42.968: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:25:44.861: INFO @decay_lr : LR updated to `5.7090063e-05` 2021-06-10 18:25:44.863: INFO @log_profile : T train: 17.316071 2021-06-10 18:25:44.863: INFO @log_profile : T read data: 0.259189 2021-06-10 18:25:44.863: INFO @log_profile : T hooks: 2.558691 2021-06-10 18:25:44.863: INFO @main_loop : Epoch 331 done 2021-06-10 18:25:44.863: INFO @main_loop : Training epoch 332 2021-06-10 18:26:03.275: INFO @log_variables: train loss nanmean: 1.746902 2021-06-10 18:26:03.275: INFO @log_variables: train age_loss mean: 0.946771 2021-06-10 18:26:03.275: INFO @log_variables: train gender_loss mean: 0.350356 2021-06-10 18:26:03.275: INFO @log_variables: train age_mae mean: 10.634060 2021-06-10 18:26:03.275: INFO @log_variables: train gender_accuracy mean: 0.845052 2021-06-10 18:26:03.275: INFO @log_variables: train artificial_age_loss mean: 0.265794 2021-06-10 18:26:03.275: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:26:03.276: INFO @log_variables: train gender_confidence/accuracy mean: 0.320312 2021-06-10 18:26:03.276: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:26:03.276: INFO @log_variables: train age_confidence/accuracy mean: 0.486039 2021-06-10 18:26:03.276: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:26:03.278: INFO @metrics_hook: train age_mae: 10.634 +-0.165 (13824) 2021-06-10 18:26:03.280: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:26:05.319: INFO @decay_lr : LR updated to `5.6804613e-05` 2021-06-10 18:26:05.320: INFO @log_profile : T train: 17.450396 2021-06-10 18:26:05.320: INFO @log_profile : T read data: 0.270599 2021-06-10 18:26:05.320: INFO @log_profile : T hooks: 2.687098 2021-06-10 18:26:05.320: INFO @main_loop : Epoch 332 done 2021-06-10 18:26:05.320: INFO @main_loop : Training epoch 333 2021-06-10 18:26:23.784: INFO @log_variables: train loss nanmean: 1.751202 2021-06-10 18:26:23.784: INFO @log_variables: train age_loss mean: 0.958071 2021-06-10 18:26:23.784: INFO @log_variables: train gender_loss mean: 0.346509 2021-06-10 18:26:23.784: INFO @log_variables: train age_mae mean: 10.726171 2021-06-10 18:26:23.784: INFO @log_variables: train gender_accuracy mean: 0.845197 2021-06-10 18:26:23.784: INFO @log_variables: train artificial_age_loss mean: 0.266769 2021-06-10 18:26:23.784: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:26:23.784: INFO @log_variables: train gender_confidence/accuracy mean: 0.324508 2021-06-10 18:26:23.784: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:26:23.785: INFO @log_variables: train age_confidence/accuracy mean: 0.497541 2021-06-10 18:26:23.785: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:26:23.786: INFO @metrics_hook: train age_mae: 10.726 +-0.168 (13824) 2021-06-10 18:26:23.787: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:26:25.772: INFO @decay_lr : LR updated to `5.652059e-05` 2021-06-10 18:26:25.774: INFO @log_profile : T train: 17.469594 2021-06-10 18:26:25.774: INFO @log_profile : T read data: 0.274965 2021-06-10 18:26:25.774: INFO @log_profile : T hooks: 2.660117 2021-06-10 18:26:25.774: INFO @main_loop : Epoch 333 done 2021-06-10 18:26:25.774: INFO @main_loop : Training epoch 334 2021-06-10 18:26:44.168: INFO @log_variables: train loss nanmean: 1.753064 2021-06-10 18:26:44.168: INFO @log_variables: train age_loss mean: 0.975094 2021-06-10 18:26:44.168: INFO @log_variables: train gender_loss mean: 0.360312 2021-06-10 18:26:44.168: INFO @log_variables: train age_mae mean: 10.888227 2021-06-10 18:26:44.168: INFO @log_variables: train gender_accuracy mean: 0.842681 2021-06-10 18:26:44.168: INFO @log_variables: train artificial_age_loss mean: 0.266284 2021-06-10 18:26:44.168: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:26:44.168: INFO @log_variables: train gender_confidence/accuracy mean: 0.322101 2021-06-10 18:26:44.168: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:26:44.168: INFO @log_variables: train age_confidence/accuracy mean: 0.483913 2021-06-10 18:26:44.169: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:26:44.170: INFO @metrics_hook: train age_mae: 10.888 +-0.171 (13800) 2021-06-10 18:26:44.172: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13800) 2021-06-10 18:26:46.113: INFO @decay_lr : LR updated to `5.6237986e-05` 2021-06-10 18:26:46.114: INFO @log_profile : T train: 17.291772 2021-06-10 18:26:46.114: INFO @log_profile : T read data: 0.416347 2021-06-10 18:26:46.115: INFO @log_profile : T hooks: 2.583680 2021-06-10 18:26:46.115: INFO @main_loop : Epoch 334 done 2021-06-10 18:26:46.115: INFO @main_loop : Training epoch 335 2021-06-10 18:27:04.514: INFO @log_variables: train loss nanmean: 1.765277 2021-06-10 18:27:04.515: INFO @log_variables: train age_loss mean: 0.966454 2021-06-10 18:27:04.515: INFO @log_variables: train gender_loss mean: 0.348102 2021-06-10 18:27:04.515: INFO @log_variables: train age_mae mean: 10.811187 2021-06-10 18:27:04.515: INFO @log_variables: train gender_accuracy mean: 0.841652 2021-06-10 18:27:04.515: INFO @log_variables: train artificial_age_loss mean: 0.267094 2021-06-10 18:27:04.515: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:27:04.515: INFO @log_variables: train gender_confidence/accuracy mean: 0.330367 2021-06-10 18:27:04.515: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:27:04.515: INFO @log_variables: train age_confidence/accuracy mean: 0.488571 2021-06-10 18:27:04.516: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:27:04.518: INFO @metrics_hook: train age_mae: 10.811 +-0.169 (13824) 2021-06-10 18:27:04.520: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-06-10 18:27:06.450: INFO @decay_lr : LR updated to `5.5956796e-05` 2021-06-10 18:27:06.452: INFO @log_profile : T train: 17.438626 2021-06-10 18:27:06.452: INFO @log_profile : T read data: 0.266156 2021-06-10 18:27:06.452: INFO @log_profile : T hooks: 2.582023 2021-06-10 18:27:06.452: INFO @main_loop : Epoch 335 done 2021-06-10 18:27:06.452: INFO @main_loop : Training epoch 336 2021-06-10 18:27:24.754: INFO @log_variables: train loss nanmean: 1.724976 2021-06-10 18:27:24.754: INFO @log_variables: train age_loss mean: 0.952829 2021-06-10 18:27:24.754: INFO @log_variables: train gender_loss mean: 0.348529 2021-06-10 18:27:24.754: INFO @log_variables: train age_mae mean: 10.686690 2021-06-10 18:27:24.754: INFO @log_variables: train gender_accuracy mean: 0.838759 2021-06-10 18:27:24.754: INFO @log_variables: train artificial_age_loss mean: 0.268481 2021-06-10 18:27:24.755: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:27:24.755: INFO @log_variables: train gender_confidence/accuracy mean: 0.328270 2021-06-10 18:27:24.755: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:27:24.755: INFO @log_variables: train age_confidence/accuracy mean: 0.488643 2021-06-10 18:27:24.755: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:27:24.756: INFO @metrics_hook: train age_mae: 10.687 +-0.166 (13824) 2021-06-10 18:27:24.757: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-06-10 18:27:26.732: INFO @decay_lr : LR updated to `5.5677014e-05` 2021-06-10 18:27:26.734: INFO @log_profile : T train: 17.330844 2021-06-10 18:27:26.734: INFO @log_profile : T read data: 0.265025 2021-06-10 18:27:26.734: INFO @log_profile : T hooks: 2.634043 2021-06-10 18:27:26.734: INFO @main_loop : Epoch 336 done 2021-06-10 18:27:26.734: INFO @main_loop : Training epoch 337 2021-06-10 18:27:45.177: INFO @log_variables: train loss nanmean: 1.730765 2021-06-10 18:27:45.177: INFO @log_variables: train age_loss mean: 0.958887 2021-06-10 18:27:45.177: INFO @log_variables: train gender_loss mean: 0.345546 2021-06-10 18:27:45.177: INFO @log_variables: train age_mae mean: 10.740473 2021-06-10 18:27:45.177: INFO @log_variables: train gender_accuracy mean: 0.845124 2021-06-10 18:27:45.177: INFO @log_variables: train artificial_age_loss mean: 0.265229 2021-06-10 18:27:45.178: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:27:45.178: INFO @log_variables: train gender_confidence/accuracy mean: 0.327836 2021-06-10 18:27:45.178: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:27:45.178: INFO @log_variables: train age_confidence/accuracy mean: 0.492115 2021-06-10 18:27:45.178: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:27:45.179: INFO @metrics_hook: train age_mae: 10.740 +-0.166 (13824) 2021-06-10 18:27:45.181: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:27:47.217: INFO @decay_lr : LR updated to `5.539863e-05` 2021-06-10 18:27:47.218: INFO @log_profile : T train: 17.497307 2021-06-10 18:27:47.218: INFO @log_profile : T read data: 0.265256 2021-06-10 18:27:47.219: INFO @log_profile : T hooks: 2.673052 2021-06-10 18:27:47.219: INFO @main_loop : Epoch 337 done 2021-06-10 18:27:47.219: INFO @main_loop : Training epoch 338 2021-06-10 18:28:05.618: INFO @log_variables: train loss nanmean: 1.736164 2021-06-10 18:28:05.618: INFO @log_variables: train age_loss mean: 0.964018 2021-06-10 18:28:05.619: INFO @log_variables: train gender_loss mean: 0.340678 2021-06-10 18:28:05.619: INFO @log_variables: train age_mae mean: 10.786386 2021-06-10 18:28:05.619: INFO @log_variables: train gender_accuracy mean: 0.849130 2021-06-10 18:28:05.619: INFO @log_variables: train artificial_age_loss mean: 0.264359 2021-06-10 18:28:05.619: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:28:05.619: INFO @log_variables: train gender_confidence/accuracy mean: 0.326812 2021-06-10 18:28:05.619: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:28:05.619: INFO @log_variables: train age_confidence/accuracy mean: 0.486522 2021-06-10 18:28:05.619: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:28:05.621: INFO @metrics_hook: train age_mae: 10.786 +-0.169 (13800) 2021-06-10 18:28:05.623: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13800) 2021-06-10 18:28:07.613: INFO @decay_lr : LR updated to `5.5121636e-05` 2021-06-10 18:28:07.614: INFO @log_profile : T train: 17.260077 2021-06-10 18:28:07.614: INFO @log_profile : T read data: 0.439531 2021-06-10 18:28:07.614: INFO @log_profile : T hooks: 2.647358 2021-06-10 18:28:07.614: INFO @main_loop : Epoch 338 done 2021-06-10 18:28:07.614: INFO @main_loop : Training epoch 339 2021-06-10 18:28:26.040: INFO @log_variables: train loss nanmean: 1.748844 2021-06-10 18:28:26.041: INFO @log_variables: train age_loss mean: 0.956466 2021-06-10 18:28:26.041: INFO @log_variables: train gender_loss mean: 0.348778 2021-06-10 18:28:26.041: INFO @log_variables: train age_mae mean: 10.732162 2021-06-10 18:28:26.041: INFO @log_variables: train gender_accuracy mean: 0.847873 2021-06-10 18:28:26.041: INFO @log_variables: train artificial_age_loss mean: 0.265733 2021-06-10 18:28:26.041: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:28:26.041: INFO @log_variables: train gender_confidence/accuracy mean: 0.321036 2021-06-10 18:28:26.041: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:28:26.041: INFO @log_variables: train age_confidence/accuracy mean: 0.487196 2021-06-10 18:28:26.041: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:28:26.044: INFO @metrics_hook: train age_mae: 10.732 +-0.168 (13824) 2021-06-10 18:28:26.046: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13824) 2021-06-10 18:28:28.122: INFO @decay_lr : LR updated to `5.4846027e-05` 2021-06-10 18:28:28.123: INFO @log_profile : T train: 17.447158 2021-06-10 18:28:28.123: INFO @log_profile : T read data: 0.268545 2021-06-10 18:28:28.123: INFO @log_profile : T hooks: 2.744265 2021-06-10 18:28:28.123: INFO @main_loop : Epoch 339 done 2021-06-10 18:28:28.123: INFO @main_loop : Training epoch 340 2021-06-10 18:28:46.287: INFO @log_variables: train loss nanmean: 1.720340 2021-06-10 18:28:46.288: INFO @log_variables: train age_loss mean: 0.942389 2021-06-10 18:28:46.288: INFO @log_variables: train gender_loss mean: 0.348892 2021-06-10 18:28:46.288: INFO @log_variables: train age_mae mean: 10.602917 2021-06-10 18:28:46.288: INFO @log_variables: train gender_accuracy mean: 0.845920 2021-06-10 18:28:46.288: INFO @log_variables: train artificial_age_loss mean: 0.266462 2021-06-10 18:28:46.288: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:28:46.288: INFO @log_variables: train gender_confidence/accuracy mean: 0.324725 2021-06-10 18:28:46.288: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:28:46.288: INFO @log_variables: train age_confidence/accuracy mean: 0.478805 2021-06-10 18:28:46.288: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:28:46.290: INFO @metrics_hook: train age_mae: 10.603 +-0.166 (13824) 2021-06-10 18:28:46.292: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-06-10 18:28:48.284: INFO @decay_lr : LR updated to `5.4571796e-05` 2021-06-10 18:28:48.285: INFO @log_profile : T train: 17.218529 2021-06-10 18:28:48.286: INFO @log_profile : T read data: 0.263026 2021-06-10 18:28:48.286: INFO @log_profile : T hooks: 2.632648 2021-06-10 18:28:48.286: INFO @main_loop : Epoch 340 done 2021-06-10 18:28:48.286: INFO @main_loop : Training epoch 341 2021-06-10 18:29:06.646: INFO @log_variables: train loss nanmean: 1.707169 2021-06-10 18:29:06.646: INFO @log_variables: train age_loss mean: 0.944462 2021-06-10 18:29:06.646: INFO @log_variables: train gender_loss mean: 0.339186 2021-06-10 18:29:06.646: INFO @log_variables: train age_mae mean: 10.617929 2021-06-10 18:29:06.646: INFO @log_variables: train gender_accuracy mean: 0.852275 2021-06-10 18:29:06.646: INFO @log_variables: train artificial_age_loss mean: 0.263126 2021-06-10 18:29:06.646: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:29:06.647: INFO @log_variables: train gender_confidence/accuracy mean: 0.321204 2021-06-10 18:29:06.647: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:29:06.647: INFO @log_variables: train age_confidence/accuracy mean: 0.488823 2021-06-10 18:29:06.647: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:29:06.649: INFO @metrics_hook: train age_mae: 10.618 +-0.167 (13823) 2021-06-10 18:29:06.651: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13823) 2021-06-10 18:29:08.703: INFO @decay_lr : LR updated to `5.4298936e-05` 2021-06-10 18:29:08.704: INFO @log_profile : T train: 17.423103 2021-06-10 18:29:08.704: INFO @log_profile : T read data: 0.261024 2021-06-10 18:29:08.704: INFO @log_profile : T hooks: 2.686305 2021-06-10 18:29:08.705: INFO @main_loop : Epoch 341 done 2021-06-10 18:29:08.705: INFO @main_loop : Training epoch 342 2021-06-10 18:29:27.257: INFO @log_variables: train loss nanmean: 1.728416 2021-06-10 18:29:27.257: INFO @log_variables: train age_loss mean: 0.958009 2021-06-10 18:29:27.258: INFO @log_variables: train gender_loss mean: 0.341861 2021-06-10 18:29:27.258: INFO @log_variables: train age_mae mean: 10.732961 2021-06-10 18:29:27.258: INFO @log_variables: train gender_accuracy mean: 0.851739 2021-06-10 18:29:27.258: INFO @log_variables: train artificial_age_loss mean: 0.265486 2021-06-10 18:29:27.258: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:29:27.258: INFO @log_variables: train gender_confidence/accuracy mean: 0.319203 2021-06-10 18:29:27.258: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:29:27.258: INFO @log_variables: train age_confidence/accuracy mean: 0.487899 2021-06-10 18:29:27.258: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:29:27.261: INFO @metrics_hook: train age_mae: 10.733 +-0.167 (13800) 2021-06-10 18:29:27.263: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13800) 2021-06-10 18:29:29.280: INFO @decay_lr : LR updated to `5.402744e-05` 2021-06-10 18:29:29.281: INFO @log_profile : T train: 17.436978 2021-06-10 18:29:29.282: INFO @log_profile : T read data: 0.409193 2021-06-10 18:29:29.282: INFO @log_profile : T hooks: 2.681638 2021-06-10 18:29:29.282: INFO @main_loop : Epoch 342 done 2021-06-10 18:29:29.282: INFO @main_loop : Training epoch 343 2021-06-10 18:29:47.552: INFO @log_variables: train loss nanmean: 1.765336 2021-06-10 18:29:47.552: INFO @log_variables: train age_loss mean: 0.964245 2021-06-10 18:29:47.552: INFO @log_variables: train gender_loss mean: 0.352524 2021-06-10 18:29:47.552: INFO @log_variables: train age_mae mean: 10.816984 2021-06-10 18:29:47.553: INFO @log_variables: train gender_accuracy mean: 0.844763 2021-06-10 18:29:47.553: INFO @log_variables: train artificial_age_loss mean: 0.266652 2021-06-10 18:29:47.553: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:29:47.553: INFO @log_variables: train gender_confidence/accuracy mean: 0.323134 2021-06-10 18:29:47.553: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:29:47.553: INFO @log_variables: train age_confidence/accuracy mean: 0.480324 2021-06-10 18:29:47.553: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:29:47.556: INFO @metrics_hook: train age_mae: 10.817 +-0.168 (13824) 2021-06-10 18:29:47.559: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:29:49.575: INFO @decay_lr : LR updated to `5.3757303e-05` 2021-06-10 18:29:49.654: INFO @log_profile : T train: 17.306882 2021-06-10 18:29:49.655: INFO @log_profile : T read data: 0.273114 2021-06-10 18:29:49.655: INFO @log_profile : T hooks: 2.744701 2021-06-10 18:29:49.655: INFO @main_loop : Epoch 343 done 2021-06-10 18:29:49.655: INFO @main_loop : Training epoch 344 2021-06-10 18:30:08.002: INFO @log_variables: train loss nanmean: 1.709785 2021-06-10 18:30:08.002: INFO @log_variables: train age_loss mean: 0.957353 2021-06-10 18:30:08.003: INFO @log_variables: train gender_loss mean: 0.351564 2021-06-10 18:30:08.003: INFO @log_variables: train age_mae mean: 10.714062 2021-06-10 18:30:08.003: INFO @log_variables: train gender_accuracy mean: 0.845558 2021-06-10 18:30:08.003: INFO @log_variables: train artificial_age_loss mean: 0.266241 2021-06-10 18:30:08.003: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:30:08.003: INFO @log_variables: train gender_confidence/accuracy mean: 0.318649 2021-06-10 18:30:08.003: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:30:08.003: INFO @log_variables: train age_confidence/accuracy mean: 0.492549 2021-06-10 18:30:08.003: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:30:08.005: INFO @metrics_hook: train age_mae: 10.714 +-0.168 (13824) 2021-06-10 18:30:08.007: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-06-10 18:30:09.989: INFO @decay_lr : LR updated to `5.348852e-05` 2021-06-10 18:30:09.990: INFO @log_profile : T train: 17.385920 2021-06-10 18:30:09.990: INFO @log_profile : T read data: 0.268081 2021-06-10 18:30:09.990: INFO @log_profile : T hooks: 2.631686 2021-06-10 18:30:09.990: INFO @main_loop : Epoch 344 done 2021-06-10 18:30:09.990: INFO @main_loop : Training epoch 345 2021-06-10 18:30:28.366: INFO @log_variables: train loss nanmean: 1.751871 2021-06-10 18:30:28.367: INFO @log_variables: train age_loss mean: 0.963392 2021-06-10 18:30:28.367: INFO @log_variables: train gender_loss mean: 0.350681 2021-06-10 18:30:28.367: INFO @log_variables: train age_mae mean: 10.761156 2021-06-10 18:30:28.367: INFO @log_variables: train gender_accuracy mean: 0.843678 2021-06-10 18:30:28.367: INFO @log_variables: train artificial_age_loss mean: 0.268826 2021-06-10 18:30:28.367: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:30:28.367: INFO @log_variables: train gender_confidence/accuracy mean: 0.324219 2021-06-10 18:30:28.367: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:30:28.367: INFO @log_variables: train age_confidence/accuracy mean: 0.487486 2021-06-10 18:30:28.367: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:30:28.368: INFO @metrics_hook: train age_mae: 10.761 +-0.167 (13824) 2021-06-10 18:30:28.369: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:30:30.289: INFO @decay_lr : LR updated to `5.3221076e-05` 2021-06-10 18:30:30.291: INFO @log_profile : T train: 17.406964 2021-06-10 18:30:30.291: INFO @log_profile : T read data: 0.268897 2021-06-10 18:30:30.291: INFO @log_profile : T hooks: 2.575975 2021-06-10 18:30:30.291: INFO @main_loop : Epoch 345 done 2021-06-10 18:30:30.291: INFO @main_loop : Training epoch 346 2021-06-10 18:30:48.824: INFO @log_variables: train loss nanmean: 1.730871 2021-06-10 18:30:48.825: INFO @log_variables: train age_loss mean: 0.956817 2021-06-10 18:30:48.825: INFO @log_variables: train gender_loss mean: 0.344264 2021-06-10 18:30:48.825: INFO @log_variables: train age_mae mean: 10.713007 2021-06-10 18:30:48.825: INFO @log_variables: train gender_accuracy mean: 0.847101 2021-06-10 18:30:48.825: INFO @log_variables: train artificial_age_loss mean: 0.265520 2021-06-10 18:30:48.825: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:30:48.825: INFO @log_variables: train gender_confidence/accuracy mean: 0.325507 2021-06-10 18:30:48.825: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:30:48.825: INFO @log_variables: train age_confidence/accuracy mean: 0.489058 2021-06-10 18:30:48.825: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:30:48.827: INFO @metrics_hook: train age_mae: 10.713 +-0.167 (13800) 2021-06-10 18:30:48.829: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13800) 2021-06-10 18:30:50.812: INFO @decay_lr : LR updated to `5.2954972e-05` 2021-06-10 18:30:50.813: INFO @log_profile : T train: 17.413513 2021-06-10 18:30:50.813: INFO @log_profile : T read data: 0.428216 2021-06-10 18:30:50.813: INFO @log_profile : T hooks: 2.632480 2021-06-10 18:30:50.813: INFO @main_loop : Epoch 346 done 2021-06-10 18:30:50.813: INFO @main_loop : Training epoch 347 2021-06-10 18:31:09.157: INFO @log_variables: train loss nanmean: 1.730402 2021-06-10 18:31:09.158: INFO @log_variables: train age_loss mean: 0.966541 2021-06-10 18:31:09.158: INFO @log_variables: train gender_loss mean: 0.343707 2021-06-10 18:31:09.158: INFO @log_variables: train age_mae mean: 10.816663 2021-06-10 18:31:09.158: INFO @log_variables: train gender_accuracy mean: 0.847295 2021-06-10 18:31:09.158: INFO @log_variables: train artificial_age_loss mean: 0.266512 2021-06-10 18:31:09.158: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:31:09.158: INFO @log_variables: train gender_confidence/accuracy mean: 0.319517 2021-06-10 18:31:09.158: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:31:09.158: INFO @log_variables: train age_confidence/accuracy mean: 0.492839 2021-06-10 18:31:09.158: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:31:09.160: INFO @metrics_hook: train age_mae: 10.817 +-0.168 (13824) 2021-06-10 18:31:09.162: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13824) 2021-06-10 18:31:11.188: INFO @decay_lr : LR updated to `5.2690197e-05` 2021-06-10 18:31:11.189: INFO @log_profile : T train: 17.373656 2021-06-10 18:31:11.189: INFO @log_profile : T read data: 0.278717 2021-06-10 18:31:11.189: INFO @log_profile : T hooks: 2.674854 2021-06-10 18:31:11.189: INFO @main_loop : Epoch 347 done 2021-06-10 18:31:11.189: INFO @main_loop : Training epoch 348 2021-06-10 18:31:29.541: INFO @log_variables: train loss nanmean: 1.741510 2021-06-10 18:31:29.541: INFO @log_variables: train age_loss mean: 0.944520 2021-06-10 18:31:29.541: INFO @log_variables: train gender_loss mean: 0.338140 2021-06-10 18:31:29.541: INFO @log_variables: train age_mae mean: 10.632887 2021-06-10 18:31:29.541: INFO @log_variables: train gender_accuracy mean: 0.851201 2021-06-10 18:31:29.541: INFO @log_variables: train artificial_age_loss mean: 0.265387 2021-06-10 18:31:29.541: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:31:29.541: INFO @log_variables: train gender_confidence/accuracy mean: 0.311560 2021-06-10 18:31:29.542: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:31:29.542: INFO @log_variables: train age_confidence/accuracy mean: 0.492188 2021-06-10 18:31:29.542: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:31:29.544: INFO @metrics_hook: train age_mae: 10.633 +-0.165 (13824) 2021-06-10 18:31:29.546: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:31:31.580: INFO @decay_lr : LR updated to `5.2426745e-05` 2021-06-10 18:31:31.582: INFO @log_profile : T train: 17.390759 2021-06-10 18:31:31.582: INFO @log_profile : T read data: 0.266728 2021-06-10 18:31:31.582: INFO @log_profile : T hooks: 2.686650 2021-06-10 18:31:31.582: INFO @main_loop : Epoch 348 done 2021-06-10 18:31:31.582: INFO @main_loop : Training epoch 349 2021-06-10 18:31:49.968: INFO @log_variables: train loss nanmean: 1.724375 2021-06-10 18:31:49.968: INFO @log_variables: train age_loss mean: 0.940719 2021-06-10 18:31:49.968: INFO @log_variables: train gender_loss mean: 0.339776 2021-06-10 18:31:49.968: INFO @log_variables: train age_mae mean: 10.597053 2021-06-10 18:31:49.968: INFO @log_variables: train gender_accuracy mean: 0.852575 2021-06-10 18:31:49.968: INFO @log_variables: train artificial_age_loss mean: 0.266513 2021-06-10 18:31:49.968: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:31:49.968: INFO @log_variables: train gender_confidence/accuracy mean: 0.312717 2021-06-10 18:31:49.969: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:31:49.969: INFO @log_variables: train age_confidence/accuracy mean: 0.490596 2021-06-10 18:31:49.969: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:31:49.971: INFO @metrics_hook: train age_mae: 10.597 +-0.165 (13824) 2021-06-10 18:31:49.973: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13824) 2021-06-10 18:31:52.014: INFO @decay_lr : LR updated to `5.216461e-05` 2021-06-10 18:31:52.015: INFO @log_profile : T train: 17.401694 2021-06-10 18:31:52.015: INFO @log_profile : T read data: 0.268899 2021-06-10 18:31:52.015: INFO @log_profile : T hooks: 2.713842 2021-06-10 18:31:52.015: INFO @main_loop : Epoch 349 done 2021-06-10 18:31:52.016: INFO @main_loop : Training epoch 350 2021-06-10 18:32:10.428: INFO @log_variables: train loss nanmean: 1.730488 2021-06-10 18:32:10.428: INFO @log_variables: train age_loss mean: 0.965908 2021-06-10 18:32:10.429: INFO @log_variables: train gender_loss mean: 0.342104 2021-06-10 18:32:10.429: INFO @log_variables: train age_mae mean: 10.824471 2021-06-10 18:32:10.429: INFO @log_variables: train gender_accuracy mean: 0.847222 2021-06-10 18:32:10.429: INFO @log_variables: train artificial_age_loss mean: 0.262915 2021-06-10 18:32:10.429: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:32:10.429: INFO @log_variables: train gender_confidence/accuracy mean: 0.319372 2021-06-10 18:32:10.429: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:32:10.429: INFO @log_variables: train age_confidence/accuracy mean: 0.492477 2021-06-10 18:32:10.429: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:32:10.431: INFO @metrics_hook: train age_mae: 10.824 +-0.170 (13824) 2021-06-10 18:32:10.433: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13824) 2021-06-10 18:32:12.493: INFO @decay_lr : LR updated to `5.190379e-05` 2021-06-10 18:32:12.495: INFO @log_profile : T train: 17.452269 2021-06-10 18:32:12.495: INFO @log_profile : T read data: 0.271475 2021-06-10 18:32:12.495: INFO @log_profile : T hooks: 2.706059 2021-06-10 18:32:12.495: INFO @main_loop : Epoch 350 done 2021-06-10 18:32:12.495: INFO @main_loop : Training epoch 351 2021-06-10 18:32:31.072: INFO @log_variables: train loss nanmean: 1.719726 2021-06-10 18:32:31.072: INFO @log_variables: train age_loss mean: 0.961244 2021-06-10 18:32:31.072: INFO @log_variables: train gender_loss mean: 0.348732 2021-06-10 18:32:31.072: INFO @log_variables: train age_mae mean: 10.795539 2021-06-10 18:32:31.072: INFO @log_variables: train gender_accuracy mean: 0.841232 2021-06-10 18:32:31.072: INFO @log_variables: train artificial_age_loss mean: 0.263983 2021-06-10 18:32:31.072: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:32:31.072: INFO @log_variables: train gender_confidence/accuracy mean: 0.321957 2021-06-10 18:32:31.072: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:32:31.072: INFO @log_variables: train age_confidence/accuracy mean: 0.492464 2021-06-10 18:32:31.072: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:32:31.074: INFO @metrics_hook: train age_mae: 10.796 +-0.171 (13800) 2021-06-10 18:32:31.075: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13800) 2021-06-10 18:32:33.072: INFO @decay_lr : LR updated to `5.164427e-05` 2021-06-10 18:32:33.074: INFO @log_profile : T train: 17.446368 2021-06-10 18:32:33.074: INFO @log_profile : T read data: 0.428225 2021-06-10 18:32:33.074: INFO @log_profile : T hooks: 2.654447 2021-06-10 18:32:33.074: INFO @main_loop : Epoch 351 done 2021-06-10 18:32:33.074: INFO @main_loop : Training epoch 352 2021-06-10 18:32:51.375: INFO @log_variables: train loss nanmean: 1.723183 2021-06-10 18:32:51.375: INFO @log_variables: train age_loss mean: 0.953924 2021-06-10 18:32:51.375: INFO @log_variables: train gender_loss mean: 0.344360 2021-06-10 18:32:51.376: INFO @log_variables: train age_mae mean: 10.709050 2021-06-10 18:32:51.376: INFO @log_variables: train gender_accuracy mean: 0.843316 2021-06-10 18:32:51.376: INFO @log_variables: train artificial_age_loss mean: 0.263582 2021-06-10 18:32:51.376: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:32:51.376: INFO @log_variables: train gender_confidence/accuracy mean: 0.325159 2021-06-10 18:32:51.376: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:32:51.376: INFO @log_variables: train age_confidence/accuracy mean: 0.484809 2021-06-10 18:32:51.376: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:32:51.377: INFO @metrics_hook: train age_mae: 10.709 +-0.169 (13824) 2021-06-10 18:32:51.378: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-06-10 18:32:53.293: INFO @decay_lr : LR updated to `5.138605e-05` 2021-06-10 18:32:53.294: INFO @log_profile : T train: 17.370896 2021-06-10 18:32:53.294: INFO @log_profile : T read data: 0.261477 2021-06-10 18:32:53.294: INFO @log_profile : T hooks: 2.540118 2021-06-10 18:32:53.294: INFO @main_loop : Epoch 352 done 2021-06-10 18:32:53.294: INFO @main_loop : Training epoch 353 2021-06-10 18:33:11.560: INFO @log_variables: train loss nanmean: 1.698557 2021-06-10 18:33:11.560: INFO @log_variables: train age_loss mean: 0.937876 2021-06-10 18:33:11.560: INFO @log_variables: train gender_loss mean: 0.349141 2021-06-10 18:33:11.560: INFO @log_variables: train age_mae mean: 10.580887 2021-06-10 18:33:11.561: INFO @log_variables: train gender_accuracy mean: 0.845258 2021-06-10 18:33:11.561: INFO @log_variables: train artificial_age_loss mean: 0.264608 2021-06-10 18:33:11.561: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:33:11.561: INFO @log_variables: train gender_confidence/accuracy mean: 0.319974 2021-06-10 18:33:11.561: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:33:11.561: INFO @log_variables: train age_confidence/accuracy mean: 0.498011 2021-06-10 18:33:11.561: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:33:11.563: INFO @metrics_hook: train age_mae: 10.581 +-0.166 (13823) 2021-06-10 18:33:11.565: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13823) 2021-06-10 18:33:13.626: INFO @decay_lr : LR updated to `5.1129122e-05` 2021-06-10 18:33:13.627: INFO @log_profile : T train: 17.319280 2021-06-10 18:33:13.628: INFO @log_profile : T read data: 0.267371 2021-06-10 18:33:13.628: INFO @log_profile : T hooks: 2.697706 2021-06-10 18:33:13.628: INFO @main_loop : Epoch 353 done 2021-06-10 18:33:13.628: INFO @main_loop : Training epoch 354 2021-06-10 18:33:32.125: INFO @log_variables: train loss nanmean: 1.740552 2021-06-10 18:33:32.125: INFO @log_variables: train age_loss mean: 0.947320 2021-06-10 18:33:32.125: INFO @log_variables: train gender_loss mean: 0.349684 2021-06-10 18:33:32.125: INFO @log_variables: train age_mae mean: 10.642928 2021-06-10 18:33:32.125: INFO @log_variables: train gender_accuracy mean: 0.844184 2021-06-10 18:33:32.125: INFO @log_variables: train artificial_age_loss mean: 0.265807 2021-06-10 18:33:32.125: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:33:32.125: INFO @log_variables: train gender_confidence/accuracy mean: 0.320747 2021-06-10 18:33:32.125: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:33:32.126: INFO @log_variables: train age_confidence/accuracy mean: 0.484520 2021-06-10 18:33:32.126: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:33:32.127: INFO @metrics_hook: train age_mae: 10.643 +-0.164 (13824) 2021-06-10 18:33:32.129: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:33:34.135: INFO @decay_lr : LR updated to `5.0873477e-05` 2021-06-10 18:33:34.136: INFO @log_profile : T train: 17.516942 2021-06-10 18:33:34.136: INFO @log_profile : T read data: 0.269400 2021-06-10 18:33:34.137: INFO @log_profile : T hooks: 2.673984 2021-06-10 18:33:34.137: INFO @main_loop : Epoch 354 done 2021-06-10 18:33:34.137: INFO @main_loop : Training epoch 355 2021-06-10 18:33:52.393: INFO @log_variables: train loss nanmean: 1.678258 2021-06-10 18:33:52.393: INFO @log_variables: train age_loss mean: 0.948706 2021-06-10 18:33:52.393: INFO @log_variables: train gender_loss mean: 0.333171 2021-06-10 18:33:52.393: INFO @log_variables: train age_mae mean: 10.667831 2021-06-10 18:33:52.393: INFO @log_variables: train gender_accuracy mean: 0.852971 2021-06-10 18:33:52.393: INFO @log_variables: train artificial_age_loss mean: 0.262900 2021-06-10 18:33:52.393: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:33:52.393: INFO @log_variables: train gender_confidence/accuracy mean: 0.318333 2021-06-10 18:33:52.393: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:33:52.393: INFO @log_variables: train age_confidence/accuracy mean: 0.489928 2021-06-10 18:33:52.393: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:33:52.395: INFO @metrics_hook: train age_mae: 10.668 +-0.165 (13800) 2021-06-10 18:33:52.396: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13800) 2021-06-10 18:33:54.343: INFO @decay_lr : LR updated to `5.061911e-05` 2021-06-10 18:33:54.344: INFO @log_profile : T train: 17.164974 2021-06-10 18:33:54.344: INFO @log_profile : T read data: 0.405025 2021-06-10 18:33:54.344: INFO @log_profile : T hooks: 2.588699 2021-06-10 18:33:54.344: INFO @main_loop : Epoch 355 done 2021-06-10 18:33:54.344: INFO @main_loop : Training epoch 356 2021-06-10 18:34:12.671: INFO @log_variables: train loss nanmean: 1.704775 2021-06-10 18:34:12.671: INFO @log_variables: train age_loss mean: 0.932382 2021-06-10 18:34:12.671: INFO @log_variables: train gender_loss mean: 0.343755 2021-06-10 18:34:12.671: INFO @log_variables: train age_mae mean: 10.497589 2021-06-10 18:34:12.671: INFO @log_variables: train gender_accuracy mean: 0.850839 2021-06-10 18:34:12.671: INFO @log_variables: train artificial_age_loss mean: 0.263217 2021-06-10 18:34:12.672: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:34:12.672: INFO @log_variables: train gender_confidence/accuracy mean: 0.314887 2021-06-10 18:34:12.672: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:34:12.672: INFO @log_variables: train age_confidence/accuracy mean: 0.494792 2021-06-10 18:34:12.672: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:34:12.674: INFO @metrics_hook: train age_mae: 10.498 +-0.163 (13824) 2021-06-10 18:34:12.676: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:34:14.705: INFO @decay_lr : LR updated to `5.0366016e-05` 2021-06-10 18:34:14.706: INFO @log_profile : T train: 17.336530 2021-06-10 18:34:14.706: INFO @log_profile : T read data: 0.271430 2021-06-10 18:34:14.706: INFO @log_profile : T hooks: 2.704208 2021-06-10 18:34:14.706: INFO @main_loop : Epoch 356 done 2021-06-10 18:34:14.706: INFO @main_loop : Training epoch 357 2021-06-10 18:34:33.074: INFO @log_variables: train loss nanmean: 1.746801 2021-06-10 18:34:33.074: INFO @log_variables: train age_loss mean: 0.955972 2021-06-10 18:34:33.074: INFO @log_variables: train gender_loss mean: 0.342146 2021-06-10 18:34:33.074: INFO @log_variables: train age_mae mean: 10.724016 2021-06-10 18:34:33.075: INFO @log_variables: train gender_accuracy mean: 0.847645 2021-06-10 18:34:33.075: INFO @log_variables: train artificial_age_loss mean: 0.265101 2021-06-10 18:34:33.075: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:34:33.075: INFO @log_variables: train gender_confidence/accuracy mean: 0.315850 2021-06-10 18:34:33.075: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:34:33.075: INFO @log_variables: train age_confidence/accuracy mean: 0.478189 2021-06-10 18:34:33.075: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:34:33.077: INFO @metrics_hook: train age_mae: 10.724 +-0.168 (13823) 2021-06-10 18:34:33.079: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13823) 2021-06-10 18:34:35.138: INFO @decay_lr : LR updated to `5.0114184e-05` 2021-06-10 18:34:35.139: INFO @log_profile : T train: 17.407974 2021-06-10 18:34:35.139: INFO @log_profile : T read data: 0.272514 2021-06-10 18:34:35.139: INFO @log_profile : T hooks: 2.704025 2021-06-10 18:34:35.139: INFO @main_loop : Epoch 357 done 2021-06-10 18:34:35.139: INFO @main_loop : Training epoch 358 2021-06-10 18:34:53.529: INFO @log_variables: train loss nanmean: 1.718794 2021-06-10 18:34:53.529: INFO @log_variables: train age_loss mean: 0.955114 2021-06-10 18:34:53.529: INFO @log_variables: train gender_loss mean: 0.338185 2021-06-10 18:34:53.529: INFO @log_variables: train age_mae mean: 10.690855 2021-06-10 18:34:53.529: INFO @log_variables: train gender_accuracy mean: 0.851997 2021-06-10 18:34:53.529: INFO @log_variables: train artificial_age_loss mean: 0.264011 2021-06-10 18:34:53.529: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:34:53.530: INFO @log_variables: train gender_confidence/accuracy mean: 0.314381 2021-06-10 18:34:53.530: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:34:53.530: INFO @log_variables: train age_confidence/accuracy mean: 0.485894 2021-06-10 18:34:53.530: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:34:53.532: INFO @metrics_hook: train age_mae: 10.691 +-0.165 (13824) 2021-06-10 18:34:53.534: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-06-10 18:34:55.538: INFO @decay_lr : LR updated to `4.9863615e-05` 2021-06-10 18:34:55.539: INFO @log_profile : T train: 17.443253 2021-06-10 18:34:55.539: INFO @log_profile : T read data: 0.263165 2021-06-10 18:34:55.539: INFO @log_profile : T hooks: 2.645933 2021-06-10 18:34:55.539: INFO @main_loop : Epoch 358 done 2021-06-10 18:34:55.539: INFO @main_loop : Training epoch 359 2021-06-10 18:35:13.891: INFO @log_variables: train loss nanmean: 1.727431 2021-06-10 18:35:13.892: INFO @log_variables: train age_loss mean: 0.941348 2021-06-10 18:35:13.892: INFO @log_variables: train gender_loss mean: 0.345961 2021-06-10 18:35:13.892: INFO @log_variables: train age_mae mean: 10.578713 2021-06-10 18:35:13.892: INFO @log_variables: train gender_accuracy mean: 0.845072 2021-06-10 18:35:13.892: INFO @log_variables: train artificial_age_loss mean: 0.265807 2021-06-10 18:35:13.892: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:35:13.892: INFO @log_variables: train gender_confidence/accuracy mean: 0.316594 2021-06-10 18:35:13.892: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:35:13.892: INFO @log_variables: train age_confidence/accuracy mean: 0.480290 2021-06-10 18:35:13.892: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:35:13.894: INFO @metrics_hook: train age_mae: 10.579 +-0.162 (13800) 2021-06-10 18:35:13.896: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13800) 2021-06-10 18:35:15.822: INFO @decay_lr : LR updated to `4.9614297e-05` 2021-06-10 18:35:15.823: INFO @log_profile : T train: 17.252724 2021-06-10 18:35:15.823: INFO @log_profile : T read data: 0.417290 2021-06-10 18:35:15.823: INFO @log_profile : T hooks: 2.566031 2021-06-10 18:35:15.823: INFO @main_loop : Epoch 359 done 2021-06-10 18:35:15.823: INFO @main_loop : Training epoch 360 2021-06-10 18:35:34.197: INFO @log_variables: train loss nanmean: 1.726838 2021-06-10 18:35:34.197: INFO @log_variables: train age_loss mean: 0.951393 2021-06-10 18:35:34.197: INFO @log_variables: train gender_loss mean: 0.339036 2021-06-10 18:35:34.197: INFO @log_variables: train age_mae mean: 10.672313 2021-06-10 18:35:34.197: INFO @log_variables: train gender_accuracy mean: 0.851128 2021-06-10 18:35:34.197: INFO @log_variables: train artificial_age_loss mean: 0.264022 2021-06-10 18:35:34.197: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:35:34.198: INFO @log_variables: train gender_confidence/accuracy mean: 0.311560 2021-06-10 18:35:34.198: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:35:34.198: INFO @log_variables: train age_confidence/accuracy mean: 0.481481 2021-06-10 18:35:34.198: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:35:34.200: INFO @metrics_hook: train age_mae: 10.672 +-0.168 (13824) 2021-06-10 18:35:34.202: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:35:36.262: INFO @decay_lr : LR updated to `4.9366226e-05` 2021-06-10 18:35:36.264: INFO @log_profile : T train: 17.405064 2021-06-10 18:35:36.264: INFO @log_profile : T read data: 0.265638 2021-06-10 18:35:36.264: INFO @log_profile : T hooks: 2.720629 2021-06-10 18:35:36.264: INFO @main_loop : Epoch 360 done 2021-06-10 18:35:36.264: INFO @main_loop : Training epoch 361 2021-06-10 18:35:54.698: INFO @log_variables: train loss nanmean: 1.761107 2021-06-10 18:35:54.698: INFO @log_variables: train age_loss mean: 0.957849 2021-06-10 18:35:54.698: INFO @log_variables: train gender_loss mean: 0.347647 2021-06-10 18:35:54.698: INFO @log_variables: train age_mae mean: 10.749103 2021-06-10 18:35:54.698: INFO @log_variables: train gender_accuracy mean: 0.846861 2021-06-10 18:35:54.698: INFO @log_variables: train artificial_age_loss mean: 0.264325 2021-06-10 18:35:54.698: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:35:54.698: INFO @log_variables: train gender_confidence/accuracy mean: 0.319951 2021-06-10 18:35:54.698: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:35:54.698: INFO @log_variables: train age_confidence/accuracy mean: 0.477720 2021-06-10 18:35:54.698: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:35:54.700: INFO @metrics_hook: train age_mae: 10.749 +-0.169 (13824) 2021-06-10 18:35:54.701: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13824) 2021-06-10 18:35:56.773: INFO @decay_lr : LR updated to `4.9119397e-05` 2021-06-10 18:35:56.774: INFO @log_profile : T train: 17.451744 2021-06-10 18:35:56.774: INFO @log_profile : T read data: 0.277257 2021-06-10 18:35:56.774: INFO @log_profile : T hooks: 2.731628 2021-06-10 18:35:56.774: INFO @main_loop : Epoch 361 done 2021-06-10 18:35:56.774: INFO @main_loop : Training epoch 362 2021-06-10 18:36:14.989: INFO @log_variables: train loss nanmean: 1.723650 2021-06-10 18:36:14.989: INFO @log_variables: train age_loss mean: 0.935807 2021-06-10 18:36:14.989: INFO @log_variables: train gender_loss mean: 0.353040 2021-06-10 18:36:14.989: INFO @log_variables: train age_mae mean: 10.548905 2021-06-10 18:36:14.989: INFO @log_variables: train gender_accuracy mean: 0.844329 2021-06-10 18:36:14.989: INFO @log_variables: train artificial_age_loss mean: 0.263961 2021-06-10 18:36:14.989: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:36:14.989: INFO @log_variables: train gender_confidence/accuracy mean: 0.321976 2021-06-10 18:36:14.989: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:36:14.989: INFO @log_variables: train age_confidence/accuracy mean: 0.474392 2021-06-10 18:36:14.989: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:36:14.991: INFO @metrics_hook: train age_mae: 10.549 +-0.166 (13824) 2021-06-10 18:36:14.992: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:36:17.008: INFO @decay_lr : LR updated to `4.88738e-05` 2021-06-10 18:36:17.009: INFO @log_profile : T train: 17.243698 2021-06-10 18:36:17.009: INFO @log_profile : T read data: 0.269663 2021-06-10 18:36:17.009: INFO @log_profile : T hooks: 2.672814 2021-06-10 18:36:17.009: INFO @main_loop : Epoch 362 done 2021-06-10 18:36:17.009: INFO @main_loop : Training epoch 363 2021-06-10 18:36:35.349: INFO @log_variables: train loss nanmean: 1.673589 2021-06-10 18:36:35.350: INFO @log_variables: train age_loss mean: 0.942937 2021-06-10 18:36:35.350: INFO @log_variables: train gender_loss mean: 0.339286 2021-06-10 18:36:35.350: INFO @log_variables: train age_mae mean: 10.609811 2021-06-10 18:36:35.350: INFO @log_variables: train gender_accuracy mean: 0.850942 2021-06-10 18:36:35.350: INFO @log_variables: train artificial_age_loss mean: 0.265526 2021-06-10 18:36:35.350: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:36:35.350: INFO @log_variables: train gender_confidence/accuracy mean: 0.322826 2021-06-10 18:36:35.350: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:36:35.350: INFO @log_variables: train age_confidence/accuracy mean: 0.484710 2021-06-10 18:36:35.350: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:36:35.352: INFO @metrics_hook: train age_mae: 10.610 +-0.166 (13800) 2021-06-10 18:36:35.355: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13800) 2021-06-10 18:36:37.340: INFO @decay_lr : LR updated to `4.862943e-05` 2021-06-10 18:36:37.341: INFO @log_profile : T train: 17.236706 2021-06-10 18:36:37.341: INFO @log_profile : T read data: 0.411266 2021-06-10 18:36:37.341: INFO @log_profile : T hooks: 2.636061 2021-06-10 18:36:37.342: INFO @main_loop : Epoch 363 done 2021-06-10 18:36:37.342: INFO @main_loop : Training epoch 364 2021-06-10 18:36:55.616: INFO @log_variables: train loss nanmean: 1.697151 2021-06-10 18:36:55.616: INFO @log_variables: train age_loss mean: 0.958170 2021-06-10 18:36:55.616: INFO @log_variables: train gender_loss mean: 0.340834 2021-06-10 18:36:55.616: INFO @log_variables: train age_mae mean: 10.748020 2021-06-10 18:36:55.616: INFO @log_variables: train gender_accuracy mean: 0.847656 2021-06-10 18:36:55.616: INFO @log_variables: train artificial_age_loss mean: 0.263476 2021-06-10 18:36:55.616: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:36:55.616: INFO @log_variables: train gender_confidence/accuracy mean: 0.322483 2021-06-10 18:36:55.616: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:36:55.617: INFO @log_variables: train age_confidence/accuracy mean: 0.481626 2021-06-10 18:36:55.617: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:36:55.618: INFO @metrics_hook: train age_mae: 10.748 +-0.167 (13824) 2021-06-10 18:36:55.619: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13824) 2021-06-10 18:36:57.576: INFO @decay_lr : LR updated to `4.8386282e-05` 2021-06-10 18:36:57.577: INFO @log_profile : T train: 17.314995 2021-06-10 18:36:57.577: INFO @log_profile : T read data: 0.269988 2021-06-10 18:36:57.577: INFO @log_profile : T hooks: 2.601469 2021-06-10 18:36:57.577: INFO @main_loop : Epoch 364 done 2021-06-10 18:36:57.577: INFO @main_loop : Training epoch 365 2021-06-10 18:37:15.945: INFO @log_variables: train loss nanmean: 1.747874 2021-06-10 18:37:15.945: INFO @log_variables: train age_loss mean: 0.958071 2021-06-10 18:37:15.945: INFO @log_variables: train gender_loss mean: 0.347555 2021-06-10 18:37:15.945: INFO @log_variables: train age_mae mean: 10.733940 2021-06-10 18:37:15.945: INFO @log_variables: train gender_accuracy mean: 0.848524 2021-06-10 18:37:15.945: INFO @log_variables: train artificial_age_loss mean: 0.266371 2021-06-10 18:37:15.945: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:37:15.945: INFO @log_variables: train gender_confidence/accuracy mean: 0.319010 2021-06-10 18:37:15.946: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:37:15.946: INFO @log_variables: train age_confidence/accuracy mean: 0.481481 2021-06-10 18:37:15.946: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:37:15.948: INFO @metrics_hook: train age_mae: 10.734 +-0.167 (13824) 2021-06-10 18:37:15.950: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:37:17.978: INFO @decay_lr : LR updated to `4.814435e-05` 2021-06-10 18:37:17.979: INFO @log_profile : T train: 17.372314 2021-06-10 18:37:17.979: INFO @log_profile : T read data: 0.270539 2021-06-10 18:37:17.979: INFO @log_profile : T hooks: 2.709547 2021-06-10 18:37:17.979: INFO @main_loop : Epoch 365 done 2021-06-10 18:37:17.979: INFO @main_loop : Training epoch 366 2021-06-10 18:37:36.226: INFO @log_variables: train loss nanmean: 1.705822 2021-06-10 18:37:36.226: INFO @log_variables: train age_loss mean: 0.949134 2021-06-10 18:37:36.226: INFO @log_variables: train gender_loss mean: 0.337362 2021-06-10 18:37:36.226: INFO @log_variables: train age_mae mean: 10.667133 2021-06-10 18:37:36.226: INFO @log_variables: train gender_accuracy mean: 0.854528 2021-06-10 18:37:36.226: INFO @log_variables: train artificial_age_loss mean: 0.265952 2021-06-10 18:37:36.227: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:37:36.227: INFO @log_variables: train gender_confidence/accuracy mean: 0.316406 2021-06-10 18:37:36.227: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:37:36.227: INFO @log_variables: train age_confidence/accuracy mean: 0.489583 2021-06-10 18:37:36.227: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:37:36.228: INFO @metrics_hook: train age_mae: 10.667 +-0.167 (13824) 2021-06-10 18:37:36.230: INFO @metrics_hook: train gender_accuracy: 0.855 +-0.006 (13824) 2021-06-10 18:37:38.227: INFO @decay_lr : LR updated to `4.7903628e-05` 2021-06-10 18:37:38.228: INFO @log_profile : T train: 17.294886 2021-06-10 18:37:38.229: INFO @log_profile : T read data: 0.270795 2021-06-10 18:37:38.229: INFO @log_profile : T hooks: 2.635215 2021-06-10 18:37:38.229: INFO @main_loop : Epoch 366 done 2021-06-10 18:37:38.229: INFO @main_loop : Training epoch 367 2021-06-10 18:37:56.679: INFO @log_variables: train loss nanmean: 1.716576 2021-06-10 18:37:56.679: INFO @log_variables: train age_loss mean: 0.937346 2021-06-10 18:37:56.679: INFO @log_variables: train gender_loss mean: 0.347827 2021-06-10 18:37:56.680: INFO @log_variables: train age_mae mean: 10.541082 2021-06-10 18:37:56.680: INFO @log_variables: train gender_accuracy mean: 0.846739 2021-06-10 18:37:56.680: INFO @log_variables: train artificial_age_loss mean: 0.265288 2021-06-10 18:37:56.680: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:37:56.680: INFO @log_variables: train gender_confidence/accuracy mean: 0.320290 2021-06-10 18:37:56.680: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:37:56.680: INFO @log_variables: train age_confidence/accuracy mean: 0.487464 2021-06-10 18:37:56.680: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:37:56.682: INFO @metrics_hook: train age_mae: 10.541 +-0.165 (13800) 2021-06-10 18:37:56.684: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13800) 2021-06-10 18:37:58.724: INFO @decay_lr : LR updated to `4.766411e-05` 2021-06-10 18:37:58.726: INFO @log_profile : T train: 17.319048 2021-06-10 18:37:58.726: INFO @log_profile : T read data: 0.414081 2021-06-10 18:37:58.726: INFO @log_profile : T hooks: 2.715175 2021-06-10 18:37:58.726: INFO @main_loop : Epoch 367 done 2021-06-10 18:37:58.726: INFO @main_loop : Training epoch 368 2021-06-10 18:38:17.018: INFO @log_variables: train loss nanmean: 1.703498 2021-06-10 18:38:17.018: INFO @log_variables: train age_loss mean: 0.942722 2021-06-10 18:38:17.018: INFO @log_variables: train gender_loss mean: 0.336693 2021-06-10 18:38:17.018: INFO @log_variables: train age_mae mean: 10.617366 2021-06-10 18:38:17.018: INFO @log_variables: train gender_accuracy mean: 0.849682 2021-06-10 18:38:17.018: INFO @log_variables: train artificial_age_loss mean: 0.264706 2021-06-10 18:38:17.019: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:38:17.019: INFO @log_variables: train gender_confidence/accuracy mean: 0.316045 2021-06-10 18:38:17.019: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:38:17.019: INFO @log_variables: train age_confidence/accuracy mean: 0.490596 2021-06-10 18:38:17.019: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:38:17.021: INFO @metrics_hook: train age_mae: 10.617 +-0.165 (13824) 2021-06-10 18:38:17.023: INFO @metrics_hook: train gender_accuracy: 0.850 +-0.006 (13824) 2021-06-10 18:38:19.006: INFO @decay_lr : LR updated to `4.742579e-05` 2021-06-10 18:38:19.007: INFO @log_profile : T train: 17.329234 2021-06-10 18:38:19.007: INFO @log_profile : T read data: 0.276199 2021-06-10 18:38:19.007: INFO @log_profile : T hooks: 2.628334 2021-06-10 18:38:19.008: INFO @main_loop : Epoch 368 done 2021-06-10 18:38:19.008: INFO @main_loop : Training epoch 369 2021-06-10 18:38:37.489: INFO @log_variables: train loss nanmean: 1.702892 2021-06-10 18:38:37.490: INFO @log_variables: train age_loss mean: 0.941415 2021-06-10 18:38:37.490: INFO @log_variables: train gender_loss mean: 0.337171 2021-06-10 18:38:37.490: INFO @log_variables: train age_mae mean: 10.602600 2021-06-10 18:38:37.490: INFO @log_variables: train gender_accuracy mean: 0.851780 2021-06-10 18:38:37.490: INFO @log_variables: train artificial_age_loss mean: 0.264649 2021-06-10 18:38:37.490: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:38:37.490: INFO @log_variables: train gender_confidence/accuracy mean: 0.317636 2021-06-10 18:38:37.490: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:38:37.490: INFO @log_variables: train age_confidence/accuracy mean: 0.482350 2021-06-10 18:38:37.490: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:38:37.492: INFO @metrics_hook: train age_mae: 10.603 +-0.165 (13824) 2021-06-10 18:38:37.494: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-06-10 18:38:39.485: INFO @decay_lr : LR updated to `4.718866e-05` 2021-06-10 18:38:39.486: INFO @log_profile : T train: 17.479448 2021-06-10 18:38:39.486: INFO @log_profile : T read data: 0.280621 2021-06-10 18:38:39.486: INFO @log_profile : T hooks: 2.669169 2021-06-10 18:38:39.486: INFO @main_loop : Epoch 369 done 2021-06-10 18:38:39.486: INFO @main_loop : Training epoch 370 2021-06-10 18:38:57.962: INFO @log_variables: train loss nanmean: 1.696107 2021-06-10 18:38:57.962: INFO @log_variables: train age_loss mean: 0.938706 2021-06-10 18:38:57.962: INFO @log_variables: train gender_loss mean: 0.341254 2021-06-10 18:38:57.962: INFO @log_variables: train age_mae mean: 10.574354 2021-06-10 18:38:57.962: INFO @log_variables: train gender_accuracy mean: 0.849754 2021-06-10 18:38:57.963: INFO @log_variables: train artificial_age_loss mean: 0.263645 2021-06-10 18:38:57.963: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:38:57.963: INFO @log_variables: train gender_confidence/accuracy mean: 0.319734 2021-06-10 18:38:57.963: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:38:57.963: INFO @log_variables: train age_confidence/accuracy mean: 0.490524 2021-06-10 18:38:57.963: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:38:57.965: INFO @metrics_hook: train age_mae: 10.574 +-0.165 (13824) 2021-06-10 18:38:57.967: INFO @metrics_hook: train gender_accuracy: 0.850 +-0.006 (13824) 2021-06-10 18:38:59.917: INFO @decay_lr : LR updated to `4.6952715e-05` 2021-06-10 18:38:59.918: INFO @log_profile : T train: 17.483752 2021-06-10 18:38:59.918: INFO @log_profile : T read data: 0.273094 2021-06-10 18:38:59.918: INFO @log_profile : T hooks: 2.623090 2021-06-10 18:38:59.919: INFO @main_loop : Epoch 370 done 2021-06-10 18:38:59.919: INFO @main_loop : Training epoch 371 2021-06-10 18:39:18.342: INFO @log_variables: train loss nanmean: 1.735344 2021-06-10 18:39:18.342: INFO @log_variables: train age_loss mean: 0.955007 2021-06-10 18:39:18.342: INFO @log_variables: train gender_loss mean: 0.344930 2021-06-10 18:39:18.342: INFO @log_variables: train age_mae mean: 10.724631 2021-06-10 18:39:18.343: INFO @log_variables: train gender_accuracy mean: 0.848623 2021-06-10 18:39:18.343: INFO @log_variables: train artificial_age_loss mean: 0.262933 2021-06-10 18:39:18.343: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:39:18.343: INFO @log_variables: train gender_confidence/accuracy mean: 0.322319 2021-06-10 18:39:18.343: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:39:18.343: INFO @log_variables: train age_confidence/accuracy mean: 0.483043 2021-06-10 18:39:18.343: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:39:18.346: INFO @metrics_hook: train age_mae: 10.725 +-0.168 (13800) 2021-06-10 18:39:18.349: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13800) 2021-06-10 18:39:20.322: INFO @decay_lr : LR updated to `4.6717953e-05` 2021-06-10 18:39:20.323: INFO @log_profile : T train: 17.338339 2021-06-10 18:39:20.323: INFO @log_profile : T read data: 0.414143 2021-06-10 18:39:20.323: INFO @log_profile : T hooks: 2.603414 2021-06-10 18:39:20.323: INFO @main_loop : Epoch 371 done 2021-06-10 18:39:20.323: INFO @main_loop : Training epoch 372 2021-06-10 18:39:38.817: INFO @log_variables: train loss nanmean: 1.698659 2021-06-10 18:39:38.817: INFO @log_variables: train age_loss mean: 0.934110 2021-06-10 18:39:38.818: INFO @log_variables: train gender_loss mean: 0.339687 2021-06-10 18:39:38.818: INFO @log_variables: train age_mae mean: 10.527421 2021-06-10 18:39:38.818: INFO @log_variables: train gender_accuracy mean: 0.849671 2021-06-10 18:39:38.818: INFO @log_variables: train artificial_age_loss mean: 0.263659 2021-06-10 18:39:38.818: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:39:38.818: INFO @log_variables: train gender_confidence/accuracy mean: 0.319106 2021-06-10 18:39:38.818: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:39:38.818: INFO @log_variables: train age_confidence/accuracy mean: 0.481516 2021-06-10 18:39:38.818: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:39:38.820: INFO @metrics_hook: train age_mae: 10.527 +-0.166 (13823) 2021-06-10 18:39:38.822: INFO @metrics_hook: train gender_accuracy: 0.850 +-0.006 (13823) 2021-06-10 18:39:40.865: INFO @decay_lr : LR updated to `4.648436e-05` 2021-06-10 18:39:40.866: INFO @log_profile : T train: 17.555437 2021-06-10 18:39:40.866: INFO @log_profile : T read data: 0.267196 2021-06-10 18:39:40.866: INFO @log_profile : T hooks: 2.672624 2021-06-10 18:39:40.866: INFO @main_loop : Epoch 372 done 2021-06-10 18:39:40.866: INFO @main_loop : Training epoch 373 2021-06-10 18:39:59.137: INFO @log_variables: train loss nanmean: 1.710885 2021-06-10 18:39:59.137: INFO @log_variables: train age_loss mean: 0.944968 2021-06-10 18:39:59.137: INFO @log_variables: train gender_loss mean: 0.347134 2021-06-10 18:39:59.137: INFO @log_variables: train age_mae mean: 10.618465 2021-06-10 18:39:59.137: INFO @log_variables: train gender_accuracy mean: 0.844980 2021-06-10 18:39:59.137: INFO @log_variables: train artificial_age_loss mean: 0.264937 2021-06-10 18:39:59.137: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:39:59.137: INFO @log_variables: train gender_confidence/accuracy mean: 0.323712 2021-06-10 18:39:59.137: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:39:59.138: INFO @log_variables: train age_confidence/accuracy mean: 0.487992 2021-06-10 18:39:59.138: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:39:59.140: INFO @metrics_hook: train age_mae: 10.618 +-0.166 (13824) 2021-06-10 18:39:59.142: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-06-10 18:40:01.155: INFO @decay_lr : LR updated to `4.625194e-05` 2021-06-10 18:40:01.157: INFO @log_profile : T train: 17.309563 2021-06-10 18:40:01.157: INFO @log_profile : T read data: 0.272168 2021-06-10 18:40:01.157: INFO @log_profile : T hooks: 2.660474 2021-06-10 18:40:01.157: INFO @main_loop : Epoch 373 done 2021-06-10 18:40:01.157: INFO @main_loop : Training epoch 374 2021-06-10 18:40:19.672: INFO @log_variables: train loss nanmean: 1.684918 2021-06-10 18:40:19.672: INFO @log_variables: train age_loss mean: 0.933177 2021-06-10 18:40:19.672: INFO @log_variables: train gender_loss mean: 0.335475 2021-06-10 18:40:19.672: INFO @log_variables: train age_mae mean: 10.522944 2021-06-10 18:40:19.672: INFO @log_variables: train gender_accuracy mean: 0.848669 2021-06-10 18:40:19.672: INFO @log_variables: train artificial_age_loss mean: 0.267197 2021-06-10 18:40:19.673: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:40:19.673: INFO @log_variables: train gender_confidence/accuracy mean: 0.323206 2021-06-10 18:40:19.673: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:40:19.673: INFO @log_variables: train age_confidence/accuracy mean: 0.484013 2021-06-10 18:40:19.673: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:40:19.675: INFO @metrics_hook: train age_mae: 10.523 +-0.166 (13824) 2021-06-10 18:40:19.677: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:40:21.675: INFO @decay_lr : LR updated to `4.602068e-05` 2021-06-10 18:40:21.676: INFO @log_profile : T train: 17.533804 2021-06-10 18:40:21.676: INFO @log_profile : T read data: 0.273299 2021-06-10 18:40:21.676: INFO @log_profile : T hooks: 2.663724 2021-06-10 18:40:21.676: INFO @main_loop : Epoch 374 done 2021-06-10 18:40:21.676: INFO @main_loop : Training epoch 375 2021-06-10 18:40:40.176: INFO @log_variables: train loss nanmean: 1.682467 2021-06-10 18:40:40.177: INFO @log_variables: train age_loss mean: 0.944810 2021-06-10 18:40:40.177: INFO @log_variables: train gender_loss mean: 0.335810 2021-06-10 18:40:40.177: INFO @log_variables: train age_mae mean: 10.608268 2021-06-10 18:40:40.177: INFO @log_variables: train gender_accuracy mean: 0.852609 2021-06-10 18:40:40.177: INFO @log_variables: train artificial_age_loss mean: 0.264209 2021-06-10 18:40:40.177: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:40:40.177: INFO @log_variables: train gender_confidence/accuracy mean: 0.316159 2021-06-10 18:40:40.177: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:40:40.177: INFO @log_variables: train age_confidence/accuracy mean: 0.480870 2021-06-10 18:40:40.177: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:40:40.180: INFO @metrics_hook: train age_mae: 10.608 +-0.166 (13800) 2021-06-10 18:40:40.182: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13800) 2021-06-10 18:40:42.208: INFO @decay_lr : LR updated to `4.5790577e-05` 2021-06-10 18:40:42.209: INFO @log_profile : T train: 17.362642 2021-06-10 18:40:42.210: INFO @log_profile : T read data: 0.419377 2021-06-10 18:40:42.210: INFO @log_profile : T hooks: 2.702737 2021-06-10 18:40:42.210: INFO @main_loop : Epoch 375 done 2021-06-10 18:40:42.210: INFO @main_loop : Training epoch 376 2021-06-10 18:41:00.546: INFO @log_variables: train loss nanmean: 1.717519 2021-06-10 18:41:00.547: INFO @log_variables: train age_loss mean: 0.955322 2021-06-10 18:41:00.547: INFO @log_variables: train gender_loss mean: 0.344793 2021-06-10 18:41:00.547: INFO @log_variables: train age_mae mean: 10.702667 2021-06-10 18:41:00.547: INFO @log_variables: train gender_accuracy mean: 0.848814 2021-06-10 18:41:00.547: INFO @log_variables: train artificial_age_loss mean: 0.263612 2021-06-10 18:41:00.547: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:41:00.547: INFO @log_variables: train gender_confidence/accuracy mean: 0.320240 2021-06-10 18:41:00.547: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:41:00.547: INFO @log_variables: train age_confidence/accuracy mean: 0.477141 2021-06-10 18:41:00.547: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:41:00.548: INFO @metrics_hook: train age_mae: 10.703 +-0.166 (13824) 2021-06-10 18:41:00.550: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:41:02.560: INFO @decay_lr : LR updated to `4.5561625e-05` 2021-06-10 18:41:02.561: INFO @log_profile : T train: 17.414358 2021-06-10 18:41:02.561: INFO @log_profile : T read data: 0.269946 2021-06-10 18:41:02.561: INFO @log_profile : T hooks: 2.618940 2021-06-10 18:41:02.562: INFO @main_loop : Epoch 376 done 2021-06-10 18:41:02.562: INFO @main_loop : Training epoch 377 2021-06-10 18:41:20.876: INFO @log_variables: train loss nanmean: 1.713243 2021-06-10 18:41:20.876: INFO @log_variables: train age_loss mean: 0.935301 2021-06-10 18:41:20.876: INFO @log_variables: train gender_loss mean: 0.340637 2021-06-10 18:41:20.876: INFO @log_variables: train age_mae mean: 10.548596 2021-06-10 18:41:20.876: INFO @log_variables: train gender_accuracy mean: 0.851201 2021-06-10 18:41:20.876: INFO @log_variables: train artificial_age_loss mean: 0.265662 2021-06-10 18:41:20.877: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:41:20.877: INFO @log_variables: train gender_confidence/accuracy mean: 0.320891 2021-06-10 18:41:20.877: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:41:20.877: INFO @log_variables: train age_confidence/accuracy mean: 0.476056 2021-06-10 18:41:20.877: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:41:20.880: INFO @metrics_hook: train age_mae: 10.549 +-0.165 (13824) 2021-06-10 18:41:20.883: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:41:22.948: INFO @decay_lr : LR updated to `4.5333818e-05` 2021-06-10 18:41:22.949: INFO @log_profile : T train: 17.371052 2021-06-10 18:41:22.949: INFO @log_profile : T read data: 0.271012 2021-06-10 18:41:22.949: INFO @log_profile : T hooks: 2.697293 2021-06-10 18:41:22.949: INFO @main_loop : Epoch 377 done 2021-06-10 18:41:22.949: INFO @main_loop : Training epoch 378 2021-06-10 18:41:41.379: INFO @log_variables: train loss nanmean: 1.740521 2021-06-10 18:41:41.379: INFO @log_variables: train age_loss mean: 0.933262 2021-06-10 18:41:41.380: INFO @log_variables: train gender_loss mean: 0.348583 2021-06-10 18:41:41.380: INFO @log_variables: train age_mae mean: 10.527406 2021-06-10 18:41:41.380: INFO @log_variables: train gender_accuracy mean: 0.844473 2021-06-10 18:41:41.380: INFO @log_variables: train artificial_age_loss mean: 0.265299 2021-06-10 18:41:41.380: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:41:41.380: INFO @log_variables: train gender_confidence/accuracy mean: 0.321253 2021-06-10 18:41:41.380: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:41:41.380: INFO @log_variables: train age_confidence/accuracy mean: 0.485894 2021-06-10 18:41:41.380: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:41:41.382: INFO @metrics_hook: train age_mae: 10.527 +-0.164 (13824) 2021-06-10 18:41:41.384: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-06-10 18:41:43.370: INFO @decay_lr : LR updated to `4.510715e-05` 2021-06-10 18:41:43.371: INFO @log_profile : T train: 17.471001 2021-06-10 18:41:43.372: INFO @log_profile : T read data: 0.268803 2021-06-10 18:41:43.372: INFO @log_profile : T hooks: 2.633544 2021-06-10 18:41:43.372: INFO @main_loop : Epoch 378 done 2021-06-10 18:41:43.372: INFO @main_loop : Training epoch 379 2021-06-10 18:42:01.790: INFO @log_variables: train loss nanmean: 1.728555 2021-06-10 18:42:01.790: INFO @log_variables: train age_loss mean: 0.948819 2021-06-10 18:42:01.791: INFO @log_variables: train gender_loss mean: 0.349387 2021-06-10 18:42:01.791: INFO @log_variables: train age_mae mean: 10.662790 2021-06-10 18:42:01.791: INFO @log_variables: train gender_accuracy mean: 0.843841 2021-06-10 18:42:01.791: INFO @log_variables: train artificial_age_loss mean: 0.264634 2021-06-10 18:42:01.791: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:42:01.791: INFO @log_variables: train gender_confidence/accuracy mean: 0.321957 2021-06-10 18:42:01.791: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:42:01.791: INFO @log_variables: train age_confidence/accuracy mean: 0.477899 2021-06-10 18:42:01.791: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:42:01.793: INFO @metrics_hook: train age_mae: 10.663 +-0.167 (13800) 2021-06-10 18:42:01.795: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13800) 2021-06-10 18:42:03.747: INFO @decay_lr : LR updated to `4.4881614e-05` 2021-06-10 18:42:03.748: INFO @log_profile : T train: 17.326580 2021-06-10 18:42:03.748: INFO @log_profile : T read data: 0.412844 2021-06-10 18:42:03.748: INFO @log_profile : T hooks: 2.589320 2021-06-10 18:42:03.748: INFO @main_loop : Epoch 379 done 2021-06-10 18:42:03.748: INFO @main_loop : Training epoch 380 2021-06-10 18:42:22.131: INFO @log_variables: train loss nanmean: 1.703357 2021-06-10 18:42:22.131: INFO @log_variables: train age_loss mean: 0.946734 2021-06-10 18:42:22.131: INFO @log_variables: train gender_loss mean: 0.337466 2021-06-10 18:42:22.131: INFO @log_variables: train age_mae mean: 10.634300 2021-06-10 18:42:22.131: INFO @log_variables: train gender_accuracy mean: 0.849248 2021-06-10 18:42:22.131: INFO @log_variables: train artificial_age_loss mean: 0.265175 2021-06-10 18:42:22.131: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:42:22.132: INFO @log_variables: train gender_confidence/accuracy mean: 0.322049 2021-06-10 18:42:22.132: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:42:22.132: INFO @log_variables: train age_confidence/accuracy mean: 0.478877 2021-06-10 18:42:22.132: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:42:22.134: INFO @metrics_hook: train age_mae: 10.634 +-0.167 (13824) 2021-06-10 18:42:22.136: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:42:24.103: INFO @decay_lr : LR updated to `4.4657205e-05` 2021-06-10 18:42:24.104: INFO @log_profile : T train: 17.407036 2021-06-10 18:42:24.104: INFO @log_profile : T read data: 0.273422 2021-06-10 18:42:24.104: INFO @log_profile : T hooks: 2.623921 2021-06-10 18:42:24.104: INFO @main_loop : Epoch 380 done 2021-06-10 18:42:24.104: INFO @main_loop : Training epoch 381 2021-06-10 18:42:42.415: INFO @log_variables: train loss nanmean: 1.712492 2021-06-10 18:42:42.415: INFO @log_variables: train age_loss mean: 0.943055 2021-06-10 18:42:42.415: INFO @log_variables: train gender_loss mean: 0.338837 2021-06-10 18:42:42.415: INFO @log_variables: train age_mae mean: 10.607905 2021-06-10 18:42:42.415: INFO @log_variables: train gender_accuracy mean: 0.851707 2021-06-10 18:42:42.415: INFO @log_variables: train artificial_age_loss mean: 0.262749 2021-06-10 18:42:42.415: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:42:42.415: INFO @log_variables: train gender_confidence/accuracy mean: 0.320602 2021-06-10 18:42:42.415: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:42:42.415: INFO @log_variables: train age_confidence/accuracy mean: 0.484737 2021-06-10 18:42:42.416: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:42:42.417: INFO @metrics_hook: train age_mae: 10.608 +-0.167 (13824) 2021-06-10 18:42:42.418: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-06-10 18:42:44.523: INFO @decay_lr : LR updated to `4.443392e-05` 2021-06-10 18:42:44.524: INFO @log_profile : T train: 17.380689 2021-06-10 18:42:44.524: INFO @log_profile : T read data: 0.261436 2021-06-10 18:42:44.524: INFO @log_profile : T hooks: 2.730838 2021-06-10 18:42:44.524: INFO @main_loop : Epoch 381 done 2021-06-10 18:42:44.524: INFO @main_loop : Training epoch 382 2021-06-10 18:43:02.926: INFO @log_variables: train loss nanmean: 1.678614 2021-06-10 18:43:02.926: INFO @log_variables: train age_loss mean: 0.935169 2021-06-10 18:43:02.926: INFO @log_variables: train gender_loss mean: 0.338022 2021-06-10 18:43:02.927: INFO @log_variables: train age_mae mean: 10.532894 2021-06-10 18:43:02.927: INFO @log_variables: train gender_accuracy mean: 0.852286 2021-06-10 18:43:02.927: INFO @log_variables: train artificial_age_loss mean: 0.264753 2021-06-10 18:43:02.927: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:43:02.927: INFO @log_variables: train gender_confidence/accuracy mean: 0.315900 2021-06-10 18:43:02.927: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:43:02.927: INFO @log_variables: train age_confidence/accuracy mean: 0.486762 2021-06-10 18:43:02.927: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:43:02.929: INFO @metrics_hook: train age_mae: 10.533 +-0.166 (13824) 2021-06-10 18:43:02.931: INFO @metrics_hook: train gender_accuracy: 0.852 +-0.006 (13824) 2021-06-10 18:43:04.998: INFO @decay_lr : LR updated to `4.421175e-05` 2021-06-10 18:43:05.000: INFO @log_profile : T train: 17.436057 2021-06-10 18:43:05.000: INFO @log_profile : T read data: 0.269510 2021-06-10 18:43:05.000: INFO @log_profile : T hooks: 2.720729 2021-06-10 18:43:05.000: INFO @main_loop : Epoch 382 done 2021-06-10 18:43:05.000: INFO @main_loop : Training epoch 383 2021-06-10 18:43:23.461: INFO @log_variables: train loss nanmean: 1.688837 2021-06-10 18:43:23.461: INFO @log_variables: train age_loss mean: 0.943370 2021-06-10 18:43:23.461: INFO @log_variables: train gender_loss mean: 0.334667 2021-06-10 18:43:23.461: INFO @log_variables: train age_mae mean: 10.599370 2021-06-10 18:43:23.461: INFO @log_variables: train gender_accuracy mean: 0.853696 2021-06-10 18:43:23.461: INFO @log_variables: train artificial_age_loss mean: 0.263146 2021-06-10 18:43:23.461: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:43:23.462: INFO @log_variables: train gender_confidence/accuracy mean: 0.316377 2021-06-10 18:43:23.462: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:43:23.462: INFO @log_variables: train age_confidence/accuracy mean: 0.486159 2021-06-10 18:43:23.462: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:43:23.463: INFO @metrics_hook: train age_mae: 10.599 +-0.166 (13800) 2021-06-10 18:43:23.464: INFO @metrics_hook: train gender_accuracy: 0.854 +-0.006 (13800) 2021-06-10 18:43:25.435: INFO @decay_lr : LR updated to `4.399069e-05` 2021-06-10 18:43:25.436: INFO @log_profile : T train: 17.382457 2021-06-10 18:43:25.436: INFO @log_profile : T read data: 0.409982 2021-06-10 18:43:25.436: INFO @log_profile : T hooks: 2.595677 2021-06-10 18:43:25.436: INFO @main_loop : Epoch 383 done 2021-06-10 18:43:25.436: INFO @main_loop : Training epoch 384 2021-06-10 18:43:43.838: INFO @log_variables: train loss nanmean: 1.692356 2021-06-10 18:43:43.838: INFO @log_variables: train age_loss mean: 0.938094 2021-06-10 18:43:43.838: INFO @log_variables: train gender_loss mean: 0.332057 2021-06-10 18:43:43.838: INFO @log_variables: train age_mae mean: 10.556476 2021-06-10 18:43:43.838: INFO @log_variables: train gender_accuracy mean: 0.855396 2021-06-10 18:43:43.839: INFO @log_variables: train artificial_age_loss mean: 0.263965 2021-06-10 18:43:43.839: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:43:43.839: INFO @log_variables: train gender_confidence/accuracy mean: 0.314525 2021-06-10 18:43:43.839: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:43:43.839: INFO @log_variables: train age_confidence/accuracy mean: 0.484230 2021-06-10 18:43:43.839: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:43:43.840: INFO @metrics_hook: train age_mae: 10.556 +-0.166 (13824) 2021-06-10 18:43:43.841: INFO @metrics_hook: train gender_accuracy: 0.855 +-0.006 (13824) 2021-06-10 18:43:45.814: INFO @decay_lr : LR updated to `4.377074e-05` 2021-06-10 18:43:45.815: INFO @log_profile : T train: 17.427914 2021-06-10 18:43:45.815: INFO @log_profile : T read data: 0.276932 2021-06-10 18:43:45.815: INFO @log_profile : T hooks: 2.624738 2021-06-10 18:43:45.815: INFO @main_loop : Epoch 384 done 2021-06-10 18:43:45.815: INFO @main_loop : Training epoch 385 2021-06-10 18:44:04.191: INFO @log_variables: train loss nanmean: 1.735189 2021-06-10 18:44:04.191: INFO @log_variables: train age_loss mean: 0.941802 2021-06-10 18:44:04.192: INFO @log_variables: train gender_loss mean: 0.336111 2021-06-10 18:44:04.192: INFO @log_variables: train age_mae mean: 10.592134 2021-06-10 18:44:04.192: INFO @log_variables: train gender_accuracy mean: 0.851490 2021-06-10 18:44:04.192: INFO @log_variables: train artificial_age_loss mean: 0.263388 2021-06-10 18:44:04.192: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:44:04.192: INFO @log_variables: train gender_confidence/accuracy mean: 0.321398 2021-06-10 18:44:04.192: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:44:04.192: INFO @log_variables: train age_confidence/accuracy mean: 0.486762 2021-06-10 18:44:04.192: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:44:04.194: INFO @metrics_hook: train age_mae: 10.592 +-0.166 (13824) 2021-06-10 18:44:04.196: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:44:11.045: INFO @decay_lr : LR updated to `4.3551885e-05` 2021-06-10 18:44:11.046: INFO @log_profile : T train: 17.416105 2021-06-10 18:44:11.046: INFO @log_profile : T read data: 0.266742 2021-06-10 18:44:11.046: INFO @log_profile : T hooks: 7.499321 2021-06-10 18:44:11.046: INFO @main_loop : Epoch 385 done 2021-06-10 18:44:11.046: INFO @main_loop : Training epoch 386 2021-06-10 18:44:29.394: INFO @log_variables: train loss nanmean: 1.679856 2021-06-10 18:44:29.394: INFO @log_variables: train age_loss mean: 0.933714 2021-06-10 18:44:29.394: INFO @log_variables: train gender_loss mean: 0.340804 2021-06-10 18:44:29.394: INFO @log_variables: train age_mae mean: 10.514836 2021-06-10 18:44:29.394: INFO @log_variables: train gender_accuracy mean: 0.847873 2021-06-10 18:44:29.394: INFO @log_variables: train artificial_age_loss mean: 0.264665 2021-06-10 18:44:29.394: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:44:29.394: INFO @log_variables: train gender_confidence/accuracy mean: 0.326172 2021-06-10 18:44:29.394: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:44:29.395: INFO @log_variables: train age_confidence/accuracy mean: 0.485605 2021-06-10 18:44:29.395: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:44:29.397: INFO @metrics_hook: train age_mae: 10.515 +-0.165 (13824) 2021-06-10 18:44:29.398: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13824) 2021-06-10 18:44:31.427: INFO @decay_lr : LR updated to `4.3334127e-05` 2021-06-10 18:44:31.428: INFO @log_profile : T train: 17.376430 2021-06-10 18:44:31.428: INFO @log_profile : T read data: 0.267112 2021-06-10 18:44:31.428: INFO @log_profile : T hooks: 2.689452 2021-06-10 18:44:31.428: INFO @main_loop : Epoch 386 done 2021-06-10 18:44:31.428: INFO @main_loop : Training epoch 387 2021-06-10 18:44:49.955: INFO @log_variables: train loss nanmean: 1.706345 2021-06-10 18:44:49.955: INFO @log_variables: train age_loss mean: 0.937841 2021-06-10 18:44:49.955: INFO @log_variables: train gender_loss mean: 0.344592 2021-06-10 18:44:49.955: INFO @log_variables: train age_mae mean: 10.559463 2021-06-10 18:44:49.955: INFO @log_variables: train gender_accuracy mean: 0.850072 2021-06-10 18:44:49.955: INFO @log_variables: train artificial_age_loss mean: 0.264406 2021-06-10 18:44:49.955: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:44:49.955: INFO @log_variables: train gender_confidence/accuracy mean: 0.315507 2021-06-10 18:44:49.955: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:44:49.955: INFO @log_variables: train age_confidence/accuracy mean: 0.484855 2021-06-10 18:44:49.956: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:44:49.958: INFO @metrics_hook: train age_mae: 10.559 +-0.165 (13800) 2021-06-10 18:44:49.960: INFO @metrics_hook: train gender_accuracy: 0.850 +-0.006 (13800) 2021-06-10 18:44:52.053: INFO @decay_lr : LR updated to `4.3117456e-05` 2021-06-10 18:44:52.054: INFO @log_profile : T train: 17.423610 2021-06-10 18:44:52.054: INFO @log_profile : T read data: 0.420113 2021-06-10 18:44:52.054: INFO @log_profile : T hooks: 2.732489 2021-06-10 18:44:52.054: INFO @main_loop : Epoch 387 done 2021-06-10 18:44:52.054: INFO @main_loop : Training epoch 388 2021-06-10 18:45:10.412: INFO @log_variables: train loss nanmean: 1.700566 2021-06-10 18:45:10.413: INFO @log_variables: train age_loss mean: 0.944895 2021-06-10 18:45:10.413: INFO @log_variables: train gender_loss mean: 0.340677 2021-06-10 18:45:10.413: INFO @log_variables: train age_mae mean: 10.619328 2021-06-10 18:45:10.413: INFO @log_variables: train gender_accuracy mean: 0.846861 2021-06-10 18:45:10.413: INFO @log_variables: train artificial_age_loss mean: 0.262686 2021-06-10 18:45:10.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:45:10.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.320023 2021-06-10 18:45:10.413: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:45:10.413: INFO @log_variables: train age_confidence/accuracy mean: 0.484013 2021-06-10 18:45:10.413: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:45:10.415: INFO @metrics_hook: train age_mae: 10.619 +-0.165 (13824) 2021-06-10 18:45:10.417: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13824) 2021-06-10 18:45:12.359: INFO @decay_lr : LR updated to `4.290187e-05` 2021-06-10 18:45:12.361: INFO @log_profile : T train: 17.394420 2021-06-10 18:45:12.361: INFO @log_profile : T read data: 0.270280 2021-06-10 18:45:12.361: INFO @log_profile : T hooks: 2.592868 2021-06-10 18:45:12.362: INFO @main_loop : Epoch 388 done 2021-06-10 18:45:12.362: INFO @main_loop : Training epoch 389 2021-06-10 18:45:30.771: INFO @log_variables: train loss nanmean: 1.662774 2021-06-10 18:45:30.771: INFO @log_variables: train age_loss mean: 0.924515 2021-06-10 18:45:30.772: INFO @log_variables: train gender_loss mean: 0.333730 2021-06-10 18:45:30.772: INFO @log_variables: train age_mae mean: 10.442657 2021-06-10 18:45:30.772: INFO @log_variables: train gender_accuracy mean: 0.852792 2021-06-10 18:45:30.772: INFO @log_variables: train artificial_age_loss mean: 0.262599 2021-06-10 18:45:30.772: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:45:30.772: INFO @log_variables: train gender_confidence/accuracy mean: 0.317564 2021-06-10 18:45:30.772: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:45:30.772: INFO @log_variables: train age_confidence/accuracy mean: 0.483218 2021-06-10 18:45:30.772: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:45:30.774: INFO @metrics_hook: train age_mae: 10.443 +-0.164 (13824) 2021-06-10 18:45:30.776: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13824) 2021-06-10 18:45:32.802: INFO @decay_lr : LR updated to `4.268736e-05` 2021-06-10 18:45:32.804: INFO @log_profile : T train: 17.417135 2021-06-10 18:45:32.804: INFO @log_profile : T read data: 0.270997 2021-06-10 18:45:32.804: INFO @log_profile : T hooks: 2.703385 2021-06-10 18:45:32.804: INFO @main_loop : Epoch 389 done 2021-06-10 18:45:32.804: INFO @main_loop : Training epoch 390 2021-06-10 18:45:51.133: INFO @log_variables: train loss nanmean: 1.702595 2021-06-10 18:45:51.134: INFO @log_variables: train age_loss mean: 0.940518 2021-06-10 18:45:51.134: INFO @log_variables: train gender_loss mean: 0.336332 2021-06-10 18:45:51.134: INFO @log_variables: train age_mae mean: 10.590074 2021-06-10 18:45:51.134: INFO @log_variables: train gender_accuracy mean: 0.853360 2021-06-10 18:45:51.134: INFO @log_variables: train artificial_age_loss mean: 0.262801 2021-06-10 18:45:51.134: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:45:51.134: INFO @log_variables: train gender_confidence/accuracy mean: 0.317587 2021-06-10 18:45:51.134: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:45:51.134: INFO @log_variables: train age_confidence/accuracy mean: 0.481227 2021-06-10 18:45:51.134: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:45:51.136: INFO @metrics_hook: train age_mae: 10.590 +-0.165 (13823) 2021-06-10 18:45:51.138: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13823) 2021-06-10 18:45:53.114: INFO @decay_lr : LR updated to `4.2473923e-05` 2021-06-10 18:45:53.115: INFO @log_profile : T train: 17.398798 2021-06-10 18:45:53.115: INFO @log_profile : T read data: 0.260950 2021-06-10 18:45:53.115: INFO @log_profile : T hooks: 2.604311 2021-06-10 18:45:53.115: INFO @main_loop : Epoch 390 done 2021-06-10 18:45:53.115: INFO @main_loop : Training epoch 391 2021-06-10 18:46:11.612: INFO @log_variables: train loss nanmean: 1.674029 2021-06-10 18:46:11.613: INFO @log_variables: train age_loss mean: 0.924524 2021-06-10 18:46:11.613: INFO @log_variables: train gender_loss mean: 0.345474 2021-06-10 18:46:11.613: INFO @log_variables: train age_mae mean: 10.442022 2021-06-10 18:46:11.613: INFO @log_variables: train gender_accuracy mean: 0.849275 2021-06-10 18:46:11.613: INFO @log_variables: train artificial_age_loss mean: 0.262752 2021-06-10 18:46:11.613: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:46:11.613: INFO @log_variables: train gender_confidence/accuracy mean: 0.322826 2021-06-10 18:46:11.613: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:46:11.613: INFO @log_variables: train age_confidence/accuracy mean: 0.482029 2021-06-10 18:46:11.613: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:46:11.615: INFO @metrics_hook: train age_mae: 10.442 +-0.164 (13800) 2021-06-10 18:46:11.616: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13800) 2021-06-10 18:46:13.581: INFO @decay_lr : LR updated to `4.2261552e-05` 2021-06-10 18:46:13.582: INFO @log_profile : T train: 17.383856 2021-06-10 18:46:13.582: INFO @log_profile : T read data: 0.416246 2021-06-10 18:46:13.582: INFO @log_profile : T hooks: 2.617899 2021-06-10 18:46:13.582: INFO @main_loop : Epoch 391 done 2021-06-10 18:46:13.582: INFO @main_loop : Training epoch 392 2021-06-10 18:46:31.906: INFO @log_variables: train loss nanmean: 1.717578 2021-06-10 18:46:31.906: INFO @log_variables: train age_loss mean: 0.955345 2021-06-10 18:46:31.906: INFO @log_variables: train gender_loss mean: 0.341825 2021-06-10 18:46:31.907: INFO @log_variables: train age_mae mean: 10.718208 2021-06-10 18:46:31.907: INFO @log_variables: train gender_accuracy mean: 0.850767 2021-06-10 18:46:31.907: INFO @log_variables: train artificial_age_loss mean: 0.264028 2021-06-10 18:46:31.907: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:46:31.907: INFO @log_variables: train gender_confidence/accuracy mean: 0.324653 2021-06-10 18:46:31.907: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:46:31.907: INFO @log_variables: train age_confidence/accuracy mean: 0.480541 2021-06-10 18:46:31.907: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:46:31.909: INFO @metrics_hook: train age_mae: 10.718 +-0.166 (13824) 2021-06-10 18:46:31.911: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13824) 2021-06-10 18:46:33.979: INFO @decay_lr : LR updated to `4.2050244e-05` 2021-06-10 18:46:33.981: INFO @log_profile : T train: 17.364494 2021-06-10 18:46:33.981: INFO @log_profile : T read data: 0.268917 2021-06-10 18:46:33.981: INFO @log_profile : T hooks: 2.716524 2021-06-10 18:46:33.981: INFO @main_loop : Epoch 392 done 2021-06-10 18:46:33.981: INFO @main_loop : Training epoch 393 2021-06-10 18:46:52.337: INFO @log_variables: train loss nanmean: 1.682153 2021-06-10 18:46:52.337: INFO @log_variables: train age_loss mean: 0.936475 2021-06-10 18:46:52.337: INFO @log_variables: train gender_loss mean: 0.338868 2021-06-10 18:46:52.337: INFO @log_variables: train age_mae mean: 10.536989 2021-06-10 18:46:52.337: INFO @log_variables: train gender_accuracy mean: 0.852792 2021-06-10 18:46:52.337: INFO @log_variables: train artificial_age_loss mean: 0.263393 2021-06-10 18:46:52.337: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:46:52.338: INFO @log_variables: train gender_confidence/accuracy mean: 0.314236 2021-06-10 18:46:52.338: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:46:52.338: INFO @log_variables: train age_confidence/accuracy mean: 0.483435 2021-06-10 18:46:52.338: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:46:52.340: INFO @metrics_hook: train age_mae: 10.537 +-0.167 (13824) 2021-06-10 18:46:52.342: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13824) 2021-06-10 18:46:54.276: INFO @decay_lr : LR updated to `4.1839994e-05` 2021-06-10 18:46:54.278: INFO @log_profile : T train: 17.381330 2021-06-10 18:46:54.278: INFO @log_profile : T read data: 0.267807 2021-06-10 18:46:54.278: INFO @log_profile : T hooks: 2.598847 2021-06-10 18:46:54.278: INFO @main_loop : Epoch 393 done 2021-06-10 18:46:54.278: INFO @main_loop : Training epoch 394 2021-06-10 18:47:12.702: INFO @log_variables: train loss nanmean: 1.735839 2021-06-10 18:47:12.703: INFO @log_variables: train age_loss mean: 0.947719 2021-06-10 18:47:12.703: INFO @log_variables: train gender_loss mean: 0.339028 2021-06-10 18:47:12.703: INFO @log_variables: train age_mae mean: 10.632504 2021-06-10 18:47:12.703: INFO @log_variables: train gender_accuracy mean: 0.849164 2021-06-10 18:47:12.703: INFO @log_variables: train artificial_age_loss mean: 0.264122 2021-06-10 18:47:12.703: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:47:12.703: INFO @log_variables: train gender_confidence/accuracy mean: 0.318961 2021-06-10 18:47:12.703: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:47:12.704: INFO @log_variables: train age_confidence/accuracy mean: 0.489546 2021-06-10 18:47:12.704: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:47:12.706: INFO @metrics_hook: train age_mae: 10.633 +-0.164 (13823) 2021-06-10 18:47:12.708: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13823) 2021-06-10 18:47:14.757: INFO @decay_lr : LR updated to `4.1630796e-05` 2021-06-10 18:47:14.759: INFO @log_profile : T train: 17.444605 2021-06-10 18:47:14.759: INFO @log_profile : T read data: 0.276317 2021-06-10 18:47:14.759: INFO @log_profile : T hooks: 2.710448 2021-06-10 18:47:14.759: INFO @main_loop : Epoch 394 done 2021-06-10 18:47:14.759: INFO @main_loop : Training epoch 395 2021-06-10 18:47:33.228: INFO @log_variables: train loss nanmean: 1.673599 2021-06-10 18:47:33.228: INFO @log_variables: train age_loss mean: 0.934309 2021-06-10 18:47:33.228: INFO @log_variables: train gender_loss mean: 0.333177 2021-06-10 18:47:33.228: INFO @log_variables: train age_mae mean: 10.519617 2021-06-10 18:47:33.228: INFO @log_variables: train gender_accuracy mean: 0.850507 2021-06-10 18:47:33.229: INFO @log_variables: train artificial_age_loss mean: 0.265166 2021-06-10 18:47:33.229: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:47:33.229: INFO @log_variables: train gender_confidence/accuracy mean: 0.320145 2021-06-10 18:47:33.229: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:47:33.229: INFO @log_variables: train age_confidence/accuracy mean: 0.478623 2021-06-10 18:47:33.229: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:47:33.231: INFO @metrics_hook: train age_mae: 10.520 +-0.166 (13800) 2021-06-10 18:47:33.233: INFO @metrics_hook: train gender_accuracy: 0.851 +-0.006 (13800) 2021-06-10 18:47:35.269: INFO @decay_lr : LR updated to `4.142264e-05` 2021-06-10 18:47:35.270: INFO @log_profile : T train: 17.368451 2021-06-10 18:47:35.270: INFO @log_profile : T read data: 0.418977 2021-06-10 18:47:35.270: INFO @log_profile : T hooks: 2.675411 2021-06-10 18:47:35.270: INFO @main_loop : Epoch 395 done 2021-06-10 18:47:35.270: INFO @main_loop : Training epoch 396 2021-06-10 18:47:53.668: INFO @log_variables: train loss nanmean: 1.707774 2021-06-10 18:47:53.668: INFO @log_variables: train age_loss mean: 0.941206 2021-06-10 18:47:53.668: INFO @log_variables: train gender_loss mean: 0.341462 2021-06-10 18:47:53.668: INFO @log_variables: train age_mae mean: 10.605180 2021-06-10 18:47:53.668: INFO @log_variables: train gender_accuracy mean: 0.853877 2021-06-10 18:47:53.668: INFO @log_variables: train artificial_age_loss mean: 0.265453 2021-06-10 18:47:53.668: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:47:53.668: INFO @log_variables: train gender_confidence/accuracy mean: 0.317998 2021-06-10 18:47:53.668: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:47:53.668: INFO @log_variables: train age_confidence/accuracy mean: 0.487775 2021-06-10 18:47:53.668: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:47:53.670: INFO @metrics_hook: train age_mae: 10.605 +-0.167 (13824) 2021-06-10 18:47:53.672: INFO @metrics_hook: train gender_accuracy: 0.854 +-0.006 (13824) 2021-06-10 18:47:55.690: INFO @decay_lr : LR updated to `4.1215528e-05` 2021-06-10 18:47:55.692: INFO @log_profile : T train: 17.445594 2021-06-10 18:47:55.692: INFO @log_profile : T read data: 0.273593 2021-06-10 18:47:55.692: INFO @log_profile : T hooks: 2.653552 2021-06-10 18:47:55.692: INFO @main_loop : Epoch 396 done 2021-06-10 18:47:55.692: INFO @main_loop : Training epoch 397 2021-06-10 18:48:14.055: INFO @log_variables: train loss nanmean: 1.681323 2021-06-10 18:48:14.055: INFO @log_variables: train age_loss mean: 0.930099 2021-06-10 18:48:14.055: INFO @log_variables: train gender_loss mean: 0.339086 2021-06-10 18:48:14.055: INFO @log_variables: train age_mae mean: 10.476798 2021-06-10 18:48:14.055: INFO @log_variables: train gender_accuracy mean: 0.848958 2021-06-10 18:48:14.055: INFO @log_variables: train artificial_age_loss mean: 0.265173 2021-06-10 18:48:14.055: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:48:14.056: INFO @log_variables: train gender_confidence/accuracy mean: 0.323712 2021-06-10 18:48:14.056: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:48:14.056: INFO @log_variables: train age_confidence/accuracy mean: 0.482928 2021-06-10 18:48:14.056: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:48:14.058: INFO @metrics_hook: train age_mae: 10.477 +-0.164 (13824) 2021-06-10 18:48:14.060: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-06-10 18:48:16.092: INFO @decay_lr : LR updated to `4.100945e-05` 2021-06-10 18:48:16.093: INFO @log_profile : T train: 17.391904 2021-06-10 18:48:16.093: INFO @log_profile : T read data: 0.272726 2021-06-10 18:48:16.093: INFO @log_profile : T hooks: 2.687748 2021-06-10 18:48:16.093: INFO @main_loop : Epoch 397 done 2021-06-10 18:48:16.093: INFO @main_loop : Training epoch 398 2021-06-10 18:48:34.413: INFO @log_variables: train loss nanmean: 1.682820 2021-06-10 18:48:34.413: INFO @log_variables: train age_loss mean: 0.938877 2021-06-10 18:48:34.413: INFO @log_variables: train gender_loss mean: 0.336830 2021-06-10 18:48:34.413: INFO @log_variables: train age_mae mean: 10.555363 2021-06-10 18:48:34.413: INFO @log_variables: train gender_accuracy mean: 0.852565 2021-06-10 18:48:34.413: INFO @log_variables: train artificial_age_loss mean: 0.262494 2021-06-10 18:48:34.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:48:34.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.322506 2021-06-10 18:48:34.413: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:48:34.413: INFO @log_variables: train age_confidence/accuracy mean: 0.483036 2021-06-10 18:48:34.414: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:48:34.415: INFO @metrics_hook: train age_mae: 10.555 +-0.165 (13823) 2021-06-10 18:48:34.417: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13823) 2021-06-10 18:48:36.420: INFO @decay_lr : LR updated to `4.0804403e-05` 2021-06-10 18:48:36.421: INFO @log_profile : T train: 17.357529 2021-06-10 18:48:36.421: INFO @log_profile : T read data: 0.272776 2021-06-10 18:48:36.421: INFO @log_profile : T hooks: 2.648810 2021-06-10 18:48:36.421: INFO @main_loop : Epoch 398 done 2021-06-10 18:48:36.421: INFO @main_loop : Training epoch 399 2021-06-10 18:48:54.848: INFO @log_variables: train loss nanmean: 1.704251 2021-06-10 18:48:54.848: INFO @log_variables: train age_loss mean: 0.939016 2021-06-10 18:48:54.849: INFO @log_variables: train gender_loss mean: 0.329626 2021-06-10 18:48:54.849: INFO @log_variables: train age_mae mean: 10.553446 2021-06-10 18:48:54.849: INFO @log_variables: train gender_accuracy mean: 0.853188 2021-06-10 18:48:54.849: INFO @log_variables: train artificial_age_loss mean: 0.264210 2021-06-10 18:48:54.849: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:48:54.849: INFO @log_variables: train gender_confidence/accuracy mean: 0.320000 2021-06-10 18:48:54.849: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:48:54.849: INFO @log_variables: train age_confidence/accuracy mean: 0.493841 2021-06-10 18:48:54.849: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:48:54.852: INFO @metrics_hook: train age_mae: 10.553 +-0.165 (13800) 2021-06-10 18:48:54.854: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13800) 2021-06-10 18:48:56.778: INFO @decay_lr : LR updated to `4.0600382e-05` 2021-06-10 18:48:56.779: INFO @log_profile : T train: 17.313715 2021-06-10 18:48:56.779: INFO @log_profile : T read data: 0.428600 2021-06-10 18:48:56.779: INFO @log_profile : T hooks: 2.566778 2021-06-10 18:48:56.779: INFO @main_loop : Epoch 399 done 2021-06-10 18:48:56.779: INFO @main_loop : Training epoch 400 2021-06-10 18:49:15.147: INFO @log_variables: train loss nanmean: 1.714848 2021-06-10 18:49:15.147: INFO @log_variables: train age_loss mean: 0.940900 2021-06-10 18:49:15.147: INFO @log_variables: train gender_loss mean: 0.338295 2021-06-10 18:49:15.147: INFO @log_variables: train age_mae mean: 10.586514 2021-06-10 18:49:15.147: INFO @log_variables: train gender_accuracy mean: 0.852575 2021-06-10 18:49:15.147: INFO @log_variables: train artificial_age_loss mean: 0.265556 2021-06-10 18:49:15.147: INFO @log_variables: train gender_confidence/loss nanmean: 0.000000 2021-06-10 18:49:15.147: INFO @log_variables: train gender_confidence/accuracy mean: 0.324653 2021-06-10 18:49:15.147: INFO @log_variables: train age_confidence/loss mean: 0.000000 2021-06-10 18:49:15.147: INFO @log_variables: train age_confidence/accuracy mean: 0.484664 2021-06-10 18:49:15.147: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe 2021-06-10 18:49:15.149: INFO @metrics_hook: train age_mae: 10.587 +-0.167 (13824) 2021-06-10 18:49:15.151: INFO @metrics_hook: train gender_accuracy: 0.853 +-0.006 (13824) 2021-06-10 18:49:17.094: INFO @decay_lr : LR updated to `4.039738e-05` 2021-06-10 18:49:17.348: INFO @save : Model saved to: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe/model_400.ckpt 2021-06-10 18:49:17.349: INFO @stop_after : EpochStopperHook triggered 2021-06-10 18:49:17.350: INFO @log_profile : T train: 17.409416 2021-06-10 18:49:17.350: INFO @log_profile : T read data: 0.268529 2021-06-10 18:49:17.350: INFO @log_profile : T hooks: 2.843864 2021-06-10 18:49:17.350: INFO @main_loop : Training terminated: Training terminated after epoch 400 2021-06-10 18:49:17.351: INFO @log_dir : Output dir: log-nightly/gender-age/2021-06-10-nightly-gender-age-28def2ab-JmNe