2021-05-26 23:27:20.499: INFO @api : Created output directory with name log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:27:20.499: INFO @api : Creating dataset 2021-05-26 23:27:21.845: 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. 2021-05-26 23:27:21.847: 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. 2021-05-26 23:27:22.358: INFO @api : RecognitionDatasetWrapper created 2021-05-26 23:27:22.359: INFO @api : Creating a model 2021-05-26 23:27:22.382: INFO @model : Creating TF model on 1 GPU devices 2021-05-26 23:27:22.383: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:429: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. 2021-05-26 23:27:22.601: 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. 2021-05-26 23:27:22.601: 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. 2021-05-26 23:27:22.602: 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. 2021-05-26 23:27:22.602: 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. 2021-05-26 23:27:22.604: WARNING @module_wrapper: From /home/kopalja/faces/models/recognition.py:106: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead. 2021-05-26 23:27:22.608: 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. 2021-05-26 23:27:23.210: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:117: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead. 2021-05-26 23:27:23.215: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:118: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dropout instead. 2021-05-26 23:27:23.226: WARNING @deprecation : From /home/kopalja/faces/models/recognition.py:120: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.Dense instead. 2021-05-26 23:27:23.305: 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. 2021-05-26 23:27:23.307: 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 2021-05-26 23:27:23.357: 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. 2021-05-26 23:27:23.357: 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. 2021-05-26 23:27:24.649: 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. 2021-05-26 23:27:24.744: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:518: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead. 2021-05-26 23:27:25.589: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:519: The name tf.local_variables_initializer is deprecated. Please use tf.compat.v1.local_variables_initializer instead. 2021-05-26 23:27:25.725: INFO @model : Number of parameters: 762083 2021-05-26 23:27:25.725: INFO @api : RecognitionModel created 2021-05-26 23:27:25.726: INFO @api : Creating hooks 2021-05-26 23:27:25.732: INFO @api : ComputeStats created 2021-05-26 23:27:25.733: INFO @api : LogVariables created 2021-05-26 23:27:25.733: INFO @api : LogProfile created 2021-05-26 23:27:25.734: INFO @api : LogDir created 2021-05-26 23:27:25.825: INFO @loader : Loading faiss with AVX2 support. 2021-05-26 23:27:25.825: INFO @loader : Loading faiss. 2021-05-26 23:27:25.972: WARNING @abstract_hook: Argument `n_epochs` was not recognized by `ComputeRecognitionMetrics`. Recognized arguments are `['output_dir', 'skip_epochs', 'streams', 'kwargs']`. 2021-05-26 23:27:25.972: INFO @api : ComputeRecognitionMetrics created 2021-05-26 23:27:25.972: INFO @api : ComputeRecognitionMaeCategories created 2021-05-26 23:27:25.972: INFO @api : EvaluateGen2 created 2021-05-26 23:27:25.973: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/hooks/write_tensorboard.py:68: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. 2021-05-26 23:27:25.973: INFO @api : WriteTensorBoard created 2021-05-26 23:27:25.973: INFO @api : DecayLR created 2021-05-26 23:27:25.974: INFO @api : SaveEvery created 2021-05-26 23:27:25.975: INFO @api : StopAfter created 2021-05-26 23:27:25.975: INFO @api : ShowProgress created 2021-05-26 23:27:25.975: WARNING @api : TrainingTrace hook added between hooks. Add it to your config.yaml to suppress this warning. 2021-05-26 23:27:25.975: INFO @api : Creating main loop 2021-05-26 23:27:25.976: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:27:25.977: INFO @main_loop : Training epoch 1 2021-05-26 23:27:26.545: 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'] 2021-05-26 23:27:46.410: INFO @log_variables: train loss nanmean: 2.912593 2021-05-26 23:27:46.410: INFO @log_variables: train age_loss mean: 2.826599 2021-05-26 23:27:46.410: INFO @log_variables: train gender_loss mean: 0.823113 2021-05-26 23:27:46.410: INFO @log_variables: train age_mae mean: 28.679617 2021-05-26 23:27:46.411: INFO @log_variables: train gender_accuracy mean: 0.523727 2021-05-26 23:27:46.411: INFO @log_variables: train artificial_age_loss mean: 0.146252 2021-05-26 23:27:46.411: INFO @log_variables: train gender_confidence/loss nanmean: 0.092262 2021-05-26 23:27:46.411: INFO @log_variables: train gender_confidence/accuracy mean: 0.501157 2021-05-26 23:27:46.411: INFO @log_variables: train age_confidence/loss mean: 0.041503 2021-05-26 23:27:46.411: INFO @log_variables: train age_confidence/accuracy mean: 0.811777 2021-05-26 23:27:46.411: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:27:46.412: INFO @metrics_hook: train age_mae: 28.680 +-0.350 (13824) 2021-05-26 23:27:46.413: INFO @metrics_hook: train gender_accuracy: 0.524 +-0.008 (13824) 2021-05-26 23:27:48.292: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/hooks/write_tensorboard.py:102: The name tf.Summary is deprecated. Please use tf.compat.v1.Summary instead. 2021-05-26 23:27:48.336: 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. 2021-05-26 23:27:48.458: INFO @decay_lr : LR updated to `0.0002985` 2021-05-26 23:27:48.460: INFO @log_profile : T train: 18.924645 2021-05-26 23:27:48.460: INFO @log_profile : T read data: 0.870417 2021-05-26 23:27:48.460: INFO @log_profile : T hooks: 2.635283 2021-05-26 23:27:48.460: INFO @main_loop : Epoch 1 done 2021-05-26 23:27:48.460: INFO @main_loop : Training epoch 2 2021-05-26 23:28:06.795: INFO @log_variables: train loss nanmean: 2.297499 2021-05-26 23:28:06.795: INFO @log_variables: train age_loss mean: 1.919232 2021-05-26 23:28:06.795: INFO @log_variables: train gender_loss mean: 0.788648 2021-05-26 23:28:06.795: INFO @log_variables: train age_mae mean: 19.728954 2021-05-26 23:28:06.795: INFO @log_variables: train gender_accuracy mean: 0.524378 2021-05-26 23:28:06.795: INFO @log_variables: train artificial_age_loss mean: 0.278209 2021-05-26 23:28:06.795: INFO @log_variables: train gender_confidence/loss nanmean: 0.085869 2021-05-26 23:28:06.796: INFO @log_variables: train gender_confidence/accuracy mean: 0.504413 2021-05-26 23:28:06.796: INFO @log_variables: train age_confidence/loss mean: 0.045830 2021-05-26 23:28:06.796: INFO @log_variables: train age_confidence/accuracy mean: 0.767506 2021-05-26 23:28:06.796: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:28:06.797: INFO @metrics_hook: train age_mae: 19.729 +-0.238 (13824) 2021-05-26 23:28:06.799: INFO @metrics_hook: train gender_accuracy: 0.524 +-0.008 (13824) 2021-05-26 23:28:09.000: INFO @decay_lr : LR updated to `0.0002970075` 2021-05-26 23:28:09.002: INFO @log_profile : T train: 17.338330 2021-05-26 23:28:09.002: INFO @log_profile : T read data: 0.301336 2021-05-26 23:28:09.002: INFO @log_profile : T hooks: 2.850064 2021-05-26 23:28:09.002: INFO @main_loop : Epoch 2 done 2021-05-26 23:28:09.002: INFO @main_loop : Training epoch 3 2021-05-26 23:28:26.486: INFO @log_variables: train loss nanmean: 2.238862 2021-05-26 23:28:26.486: INFO @log_variables: train age_loss mean: 1.802385 2021-05-26 23:28:26.486: INFO @log_variables: train gender_loss mean: 0.755680 2021-05-26 23:28:26.486: INFO @log_variables: train age_mae mean: 18.599161 2021-05-26 23:28:26.486: INFO @log_variables: train gender_accuracy mean: 0.528718 2021-05-26 23:28:26.486: INFO @log_variables: train artificial_age_loss mean: 0.288218 2021-05-26 23:28:26.486: INFO @log_variables: train gender_confidence/loss nanmean: 0.077952 2021-05-26 23:28:26.487: INFO @log_variables: train gender_confidence/accuracy mean: 0.509549 2021-05-26 23:28:26.487: INFO @log_variables: train age_confidence/loss mean: 0.042204 2021-05-26 23:28:26.487: INFO @log_variables: train age_confidence/accuracy mean: 0.788339 2021-05-26 23:28:26.487: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:28:26.489: INFO @metrics_hook: train age_mae: 18.599 +-0.220 (13824) 2021-05-26 23:28:26.491: INFO @metrics_hook: train gender_accuracy: 0.529 +-0.008 (13824) 2021-05-26 23:28:28.873: INFO @decay_lr : LR updated to `0.00029552245` 2021-05-26 23:28:28.875: INFO @log_profile : T train: 16.536847 2021-05-26 23:28:28.875: INFO @log_profile : T read data: 0.294975 2021-05-26 23:28:28.875: INFO @log_profile : T hooks: 2.987446 2021-05-26 23:28:28.875: INFO @main_loop : Epoch 3 done 2021-05-26 23:28:28.875: INFO @main_loop : Training epoch 4 2021-05-26 23:28:47.458: INFO @log_variables: train loss nanmean: 2.176442 2021-05-26 23:28:47.458: INFO @log_variables: train age_loss mean: 1.760033 2021-05-26 23:28:47.458: INFO @log_variables: train gender_loss mean: 0.727660 2021-05-26 23:28:47.459: INFO @log_variables: train age_mae mean: 18.172810 2021-05-26 23:28:47.459: INFO @log_variables: train gender_accuracy mean: 0.544559 2021-05-26 23:28:47.459: INFO @log_variables: train artificial_age_loss mean: 0.286790 2021-05-26 23:28:47.459: INFO @log_variables: train gender_confidence/loss nanmean: 0.075618 2021-05-26 23:28:47.459: INFO @log_variables: train gender_confidence/accuracy mean: 0.514056 2021-05-26 23:28:47.459: INFO @log_variables: train age_confidence/loss mean: 0.039963 2021-05-26 23:28:47.459: INFO @log_variables: train age_confidence/accuracy mean: 0.812563 2021-05-26 23:28:47.459: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:28:47.460: INFO @metrics_hook: train age_mae: 18.173 +-0.215 (13802) 2021-05-26 23:28:47.462: INFO @metrics_hook: train gender_accuracy: 0.545 +-0.008 (13802) 2021-05-26 23:28:49.936: INFO @decay_lr : LR updated to `0.00029404485` 2021-05-26 23:28:49.937: INFO @log_profile : T train: 17.488312 2021-05-26 23:28:49.937: INFO @log_profile : T read data: 0.453468 2021-05-26 23:28:49.937: INFO @log_profile : T hooks: 3.065971 2021-05-26 23:28:49.937: INFO @main_loop : Epoch 4 done 2021-05-26 23:28:49.937: INFO @main_loop : Training epoch 5 2021-05-26 23:29:08.273: INFO @log_variables: train loss nanmean: 2.161796 2021-05-26 23:29:08.275: INFO @log_variables: train age_loss mean: 1.741285 2021-05-26 23:29:08.275: INFO @log_variables: train gender_loss mean: 0.714274 2021-05-26 23:29:08.275: INFO @log_variables: train age_mae mean: 17.968130 2021-05-26 23:29:08.275: INFO @log_variables: train gender_accuracy mean: 0.549769 2021-05-26 23:29:08.275: INFO @log_variables: train artificial_age_loss mean: 0.283484 2021-05-26 23:29:08.275: INFO @log_variables: train gender_confidence/loss nanmean: 0.074554 2021-05-26 23:29:08.275: INFO @log_variables: train gender_confidence/accuracy mean: 0.523727 2021-05-26 23:29:08.275: INFO @log_variables: train age_confidence/loss mean: 0.038456 2021-05-26 23:29:08.275: INFO @log_variables: train age_confidence/accuracy mean: 0.822555 2021-05-26 23:29:08.275: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:29:08.277: INFO @metrics_hook: train age_mae: 17.968 +-0.210 (13824) 2021-05-26 23:29:08.278: INFO @metrics_hook: train gender_accuracy: 0.550 +-0.008 (13824) 2021-05-26 23:29:10.741: INFO @decay_lr : LR updated to `0.0002925746` 2021-05-26 23:29:10.743: INFO @log_profile : T train: 17.381694 2021-05-26 23:29:10.743: INFO @log_profile : T read data: 0.301462 2021-05-26 23:29:10.743: INFO @log_profile : T hooks: 3.069959 2021-05-26 23:29:10.743: INFO @main_loop : Epoch 5 done 2021-05-26 23:29:10.743: INFO @main_loop : Training epoch 6 2021-05-26 23:29:29.708: INFO @log_variables: train loss nanmean: 2.133813 2021-05-26 23:29:29.708: INFO @log_variables: train age_loss mean: 1.691588 2021-05-26 23:29:29.708: INFO @log_variables: train gender_loss mean: 0.703594 2021-05-26 23:29:29.708: INFO @log_variables: train age_mae mean: 17.528385 2021-05-26 23:29:29.708: INFO @log_variables: train gender_accuracy mean: 0.551288 2021-05-26 23:29:29.708: INFO @log_variables: train artificial_age_loss mean: 0.281453 2021-05-26 23:29:29.708: INFO @log_variables: train gender_confidence/loss nanmean: 0.073938 2021-05-26 23:29:29.708: INFO @log_variables: train gender_confidence/accuracy mean: 0.524016 2021-05-26 23:29:29.709: INFO @log_variables: train age_confidence/loss mean: 0.039047 2021-05-26 23:29:29.709: INFO @log_variables: train age_confidence/accuracy mean: 0.818938 2021-05-26 23:29:29.709: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:29:29.711: INFO @metrics_hook: train age_mae: 17.528 +-0.209 (13824) 2021-05-26 23:29:29.713: INFO @metrics_hook: train gender_accuracy: 0.551 +-0.008 (13824) 2021-05-26 23:29:32.188: INFO @decay_lr : LR updated to `0.00029111173` 2021-05-26 23:29:32.189: INFO @log_profile : T train: 17.999984 2021-05-26 23:29:32.190: INFO @log_profile : T read data: 0.298478 2021-05-26 23:29:32.190: INFO @log_profile : T hooks: 3.095946 2021-05-26 23:29:32.190: INFO @main_loop : Epoch 6 done 2021-05-26 23:29:32.190: INFO @main_loop : Training epoch 7 2021-05-26 23:29:51.203: INFO @log_variables: train loss nanmean: 2.066349 2021-05-26 23:29:51.203: INFO @log_variables: train age_loss mean: 1.696529 2021-05-26 23:29:51.203: INFO @log_variables: train gender_loss mean: 0.695888 2021-05-26 23:29:51.203: INFO @log_variables: train age_mae mean: 17.573051 2021-05-26 23:29:51.203: INFO @log_variables: train gender_accuracy mean: 0.550998 2021-05-26 23:29:51.203: INFO @log_variables: train artificial_age_loss mean: 0.278680 2021-05-26 23:29:51.203: INFO @log_variables: train gender_confidence/loss nanmean: 0.073337 2021-05-26 23:29:51.204: INFO @log_variables: train gender_confidence/accuracy mean: 0.532046 2021-05-26 23:29:51.204: INFO @log_variables: train age_confidence/loss mean: 0.037884 2021-05-26 23:29:51.204: INFO @log_variables: train age_confidence/accuracy mean: 0.830729 2021-05-26 23:29:51.204: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:29:51.206: INFO @metrics_hook: train age_mae: 17.573 +-0.209 (13824) 2021-05-26 23:29:51.208: INFO @metrics_hook: train gender_accuracy: 0.551 +-0.008 (13824) 2021-05-26 23:29:53.411: INFO @decay_lr : LR updated to `0.00028965616` 2021-05-26 23:29:53.413: INFO @log_profile : T train: 18.042919 2021-05-26 23:29:53.413: INFO @log_profile : T read data: 0.299710 2021-05-26 23:29:53.413: INFO @log_profile : T hooks: 2.828914 2021-05-26 23:29:53.413: INFO @main_loop : Epoch 7 done 2021-05-26 23:29:53.414: INFO @main_loop : Training epoch 8 2021-05-26 23:30:12.582: INFO @log_variables: train loss nanmean: 2.121053 2021-05-26 23:30:12.582: INFO @log_variables: train age_loss mean: 1.690171 2021-05-26 23:30:12.582: INFO @log_variables: train gender_loss mean: 0.689955 2021-05-26 23:30:12.582: INFO @log_variables: train age_mae mean: 17.501223 2021-05-26 23:30:12.582: INFO @log_variables: train gender_accuracy mean: 0.562672 2021-05-26 23:30:12.582: INFO @log_variables: train artificial_age_loss mean: 0.281878 2021-05-26 23:30:12.582: INFO @log_variables: train gender_confidence/loss nanmean: 0.073863 2021-05-26 23:30:12.582: INFO @log_variables: train gender_confidence/accuracy mean: 0.534053 2021-05-26 23:30:12.582: INFO @log_variables: train age_confidence/loss mean: 0.038387 2021-05-26 23:30:12.582: INFO @log_variables: train age_confidence/accuracy mean: 0.827706 2021-05-26 23:30:12.582: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:30:12.584: INFO @metrics_hook: train age_mae: 17.501 +-0.210 (13802) 2021-05-26 23:30:12.585: INFO @metrics_hook: train gender_accuracy: 0.563 +-0.008 (13802) 2021-05-26 23:30:14.822: INFO @decay_lr : LR updated to `0.00028820787` 2021-05-26 23:30:14.824: INFO @log_profile : T train: 18.055438 2021-05-26 23:30:14.824: INFO @log_profile : T read data: 0.450953 2021-05-26 23:30:14.824: INFO @log_profile : T hooks: 2.851122 2021-05-26 23:30:14.824: INFO @main_loop : Epoch 8 done 2021-05-26 23:30:14.824: INFO @main_loop : Training epoch 9 2021-05-26 23:30:33.477: INFO @log_variables: train loss nanmean: 2.122360 2021-05-26 23:30:33.477: INFO @log_variables: train age_loss mean: 1.703485 2021-05-26 23:30:33.477: INFO @log_variables: train gender_loss mean: 0.688778 2021-05-26 23:30:33.477: INFO @log_variables: train age_mae mean: 17.631523 2021-05-26 23:30:33.478: INFO @log_variables: train gender_accuracy mean: 0.564019 2021-05-26 23:30:33.478: INFO @log_variables: train artificial_age_loss mean: 0.278957 2021-05-26 23:30:33.478: INFO @log_variables: train gender_confidence/loss nanmean: 0.073821 2021-05-26 23:30:33.478: INFO @log_variables: train gender_confidence/accuracy mean: 0.540075 2021-05-26 23:30:33.478: INFO @log_variables: train age_confidence/loss mean: 0.037449 2021-05-26 23:30:33.478: INFO @log_variables: train age_confidence/accuracy mean: 0.833478 2021-05-26 23:30:33.478: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:30:33.481: INFO @metrics_hook: train age_mae: 17.632 +-0.209 (13824) 2021-05-26 23:30:33.484: INFO @metrics_hook: train gender_accuracy: 0.564 +-0.008 (13824) 2021-05-26 23:30:35.979: INFO @decay_lr : LR updated to `0.00028676682` 2021-05-26 23:30:35.981: INFO @log_profile : T train: 17.618833 2021-05-26 23:30:35.981: INFO @log_profile : T read data: 0.310792 2021-05-26 23:30:35.981: INFO @log_profile : T hooks: 3.171799 2021-05-26 23:30:35.981: INFO @main_loop : Epoch 9 done 2021-05-26 23:30:35.981: INFO @main_loop : Training epoch 10 2021-05-26 23:30:54.615: INFO @log_variables: train loss nanmean: 2.061048 2021-05-26 23:30:54.615: INFO @log_variables: train age_loss mean: 1.683710 2021-05-26 23:30:54.615: INFO @log_variables: train gender_loss mean: 0.682232 2021-05-26 23:30:54.615: INFO @log_variables: train age_mae mean: 17.459446 2021-05-26 23:30:54.616: INFO @log_variables: train gender_accuracy mean: 0.569878 2021-05-26 23:30:54.616: INFO @log_variables: train artificial_age_loss mean: 0.274602 2021-05-26 23:30:54.616: INFO @log_variables: train gender_confidence/loss nanmean: 0.073941 2021-05-26 23:30:54.616: INFO @log_variables: train gender_confidence/accuracy mean: 0.548539 2021-05-26 23:30:54.616: INFO @log_variables: train age_confidence/loss mean: 0.037966 2021-05-26 23:30:54.616: INFO @log_variables: train age_confidence/accuracy mean: 0.830657 2021-05-26 23:30:54.616: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:30:54.617: INFO @metrics_hook: train age_mae: 17.459 +-0.208 (13824) 2021-05-26 23:30:54.618: INFO @metrics_hook: train gender_accuracy: 0.570 +-0.008 (13824) 2021-05-26 23:30:56.823: INFO @decay_lr : LR updated to `0.000285333` 2021-05-26 23:30:56.825: INFO @log_profile : T train: 17.693532 2021-05-26 23:30:56.825: INFO @log_profile : T read data: 0.307176 2021-05-26 23:30:56.825: INFO @log_profile : T hooks: 2.790009 2021-05-26 23:30:56.825: INFO @main_loop : Epoch 10 done 2021-05-26 23:30:56.825: INFO @main_loop : Training epoch 11 2021-05-26 23:31:15.584: INFO @log_variables: train loss nanmean: 2.069402 2021-05-26 23:31:15.585: INFO @log_variables: train age_loss mean: 1.657219 2021-05-26 23:31:15.585: INFO @log_variables: train gender_loss mean: 0.674624 2021-05-26 23:31:15.585: INFO @log_variables: train age_mae mean: 17.195097 2021-05-26 23:31:15.585: INFO @log_variables: train gender_accuracy mean: 0.589337 2021-05-26 23:31:15.585: INFO @log_variables: train artificial_age_loss mean: 0.272218 2021-05-26 23:31:15.585: INFO @log_variables: train gender_confidence/loss nanmean: 0.075121 2021-05-26 23:31:15.585: INFO @log_variables: train gender_confidence/accuracy mean: 0.563585 2021-05-26 23:31:15.585: INFO @log_variables: train age_confidence/loss mean: 0.038485 2021-05-26 23:31:15.585: INFO @log_variables: train age_confidence/accuracy mean: 0.826751 2021-05-26 23:31:15.586: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:31:15.588: INFO @metrics_hook: train age_mae: 17.195 +-0.209 (13824) 2021-05-26 23:31:15.590: INFO @metrics_hook: train gender_accuracy: 0.589 +-0.008 (13824) 2021-05-26 23:31:17.866: INFO @decay_lr : LR updated to `0.00028390632` 2021-05-26 23:31:17.868: INFO @log_profile : T train: 17.786974 2021-05-26 23:31:17.868: INFO @log_profile : T read data: 0.315686 2021-05-26 23:31:17.868: INFO @log_profile : T hooks: 2.886746 2021-05-26 23:31:17.868: INFO @main_loop : Epoch 11 done 2021-05-26 23:31:17.868: INFO @main_loop : Training epoch 12 2021-05-26 23:31:36.665: INFO @log_variables: train loss nanmean: 2.040713 2021-05-26 23:31:36.666: INFO @log_variables: train age_loss mean: 1.655599 2021-05-26 23:31:36.666: INFO @log_variables: train gender_loss mean: 0.681722 2021-05-26 23:31:36.666: INFO @log_variables: train age_mae mean: 17.171776 2021-05-26 23:31:36.666: INFO @log_variables: train gender_accuracy mean: 0.574844 2021-05-26 23:31:36.666: INFO @log_variables: train artificial_age_loss mean: 0.269510 2021-05-26 23:31:36.666: INFO @log_variables: train gender_confidence/loss nanmean: 0.074436 2021-05-26 23:31:36.666: INFO @log_variables: train gender_confidence/accuracy mean: 0.549775 2021-05-26 23:31:36.666: INFO @log_variables: train age_confidence/loss mean: 0.037807 2021-05-26 23:31:36.666: INFO @log_variables: train age_confidence/accuracy mean: 0.829807 2021-05-26 23:31:36.666: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:31:36.668: INFO @metrics_hook: train age_mae: 17.172 +-0.208 (13802) 2021-05-26 23:31:36.670: INFO @metrics_hook: train gender_accuracy: 0.575 +-0.008 (13802) 2021-05-26 23:31:38.968: INFO @decay_lr : LR updated to `0.00028248678` 2021-05-26 23:31:38.970: INFO @log_profile : T train: 17.676403 2021-05-26 23:31:38.970: INFO @log_profile : T read data: 0.470136 2021-05-26 23:31:38.970: INFO @log_profile : T hooks: 2.902012 2021-05-26 23:31:38.970: INFO @main_loop : Epoch 12 done 2021-05-26 23:31:38.970: INFO @main_loop : Training epoch 13 2021-05-26 23:31:57.623: INFO @log_variables: train loss nanmean: 2.040679 2021-05-26 23:31:57.623: INFO @log_variables: train age_loss mean: 1.629633 2021-05-26 23:31:57.623: INFO @log_variables: train gender_loss mean: 0.672023 2021-05-26 23:31:57.623: INFO @log_variables: train age_mae mean: 16.948097 2021-05-26 23:31:57.623: INFO @log_variables: train gender_accuracy mean: 0.587601 2021-05-26 23:31:57.623: INFO @log_variables: train artificial_age_loss mean: 0.265330 2021-05-26 23:31:57.623: INFO @log_variables: train gender_confidence/loss nanmean: 0.074846 2021-05-26 23:31:57.623: INFO @log_variables: train gender_confidence/accuracy mean: 0.564236 2021-05-26 23:31:57.623: INFO @log_variables: train age_confidence/loss mean: 0.038050 2021-05-26 23:31:57.623: INFO @log_variables: train age_confidence/accuracy mean: 0.825087 2021-05-26 23:31:57.624: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:31:57.625: INFO @metrics_hook: train age_mae: 16.948 +-0.209 (13824) 2021-05-26 23:31:57.627: INFO @metrics_hook: train gender_accuracy: 0.588 +-0.008 (13824) 2021-05-26 23:31:59.812: INFO @decay_lr : LR updated to `0.00028107435` 2021-05-26 23:31:59.813: INFO @log_profile : T train: 17.648685 2021-05-26 23:31:59.814: INFO @log_profile : T read data: 0.302580 2021-05-26 23:31:59.814: INFO @log_profile : T hooks: 2.840747 2021-05-26 23:31:59.814: INFO @main_loop : Epoch 13 done 2021-05-26 23:31:59.814: INFO @main_loop : Training epoch 14 2021-05-26 23:32:18.565: INFO @log_variables: train loss nanmean: 2.036088 2021-05-26 23:32:18.566: INFO @log_variables: train age_loss mean: 1.625188 2021-05-26 23:32:18.566: INFO @log_variables: train gender_loss mean: 0.673161 2021-05-26 23:32:18.566: INFO @log_variables: train age_mae mean: 16.892904 2021-05-26 23:32:18.566: INFO @log_variables: train gender_accuracy mean: 0.585865 2021-05-26 23:32:18.566: INFO @log_variables: train artificial_age_loss mean: 0.262309 2021-05-26 23:32:18.566: INFO @log_variables: train gender_confidence/loss nanmean: 0.074733 2021-05-26 23:32:18.566: INFO @log_variables: train gender_confidence/accuracy mean: 0.560041 2021-05-26 23:32:18.566: INFO @log_variables: train age_confidence/loss mean: 0.039007 2021-05-26 23:32:18.566: INFO @log_variables: train age_confidence/accuracy mean: 0.818359 2021-05-26 23:32:18.566: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:32:18.568: INFO @metrics_hook: train age_mae: 16.893 +-0.207 (13824) 2021-05-26 23:32:18.569: INFO @metrics_hook: train gender_accuracy: 0.586 +-0.008 (13824) 2021-05-26 23:32:20.805: INFO @decay_lr : LR updated to `0.00027966898` 2021-05-26 23:32:20.807: INFO @log_profile : T train: 17.796566 2021-05-26 23:32:20.807: INFO @log_profile : T read data: 0.301210 2021-05-26 23:32:20.807: INFO @log_profile : T hooks: 2.841799 2021-05-26 23:32:20.807: INFO @main_loop : Epoch 14 done 2021-05-26 23:32:20.807: INFO @main_loop : Training epoch 15 2021-05-26 23:32:39.941: INFO @log_variables: train loss nanmean: 2.031288 2021-05-26 23:32:39.941: INFO @log_variables: train age_loss mean: 1.644678 2021-05-26 23:32:39.941: INFO @log_variables: train gender_loss mean: 0.670491 2021-05-26 23:32:39.941: INFO @log_variables: train age_mae mean: 17.089689 2021-05-26 23:32:39.941: INFO @log_variables: train gender_accuracy mean: 0.594184 2021-05-26 23:32:39.942: INFO @log_variables: train artificial_age_loss mean: 0.260521 2021-05-26 23:32:39.942: INFO @log_variables: train gender_confidence/loss nanmean: 0.075243 2021-05-26 23:32:39.942: INFO @log_variables: train gender_confidence/accuracy mean: 0.560475 2021-05-26 23:32:39.942: INFO @log_variables: train age_confidence/loss mean: 0.038413 2021-05-26 23:32:39.942: INFO @log_variables: train age_confidence/accuracy mean: 0.823206 2021-05-26 23:32:39.942: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:32:39.945: INFO @metrics_hook: train age_mae: 17.090 +-0.210 (13824) 2021-05-26 23:32:39.948: INFO @metrics_hook: train gender_accuracy: 0.594 +-0.008 (13824) 2021-05-26 23:32:42.592: INFO @decay_lr : LR updated to `0.00027827063` 2021-05-26 23:32:42.594: INFO @log_profile : T train: 18.143852 2021-05-26 23:32:42.594: INFO @log_profile : T read data: 0.316085 2021-05-26 23:32:42.594: INFO @log_profile : T hooks: 3.274370 2021-05-26 23:32:42.594: INFO @main_loop : Epoch 15 done 2021-05-26 23:32:42.594: INFO @main_loop : Training epoch 16 2021-05-26 23:33:01.879: INFO @log_variables: train loss nanmean: 2.026434 2021-05-26 23:33:01.879: INFO @log_variables: train age_loss mean: 1.597702 2021-05-26 23:33:01.879: INFO @log_variables: train gender_loss mean: 0.671355 2021-05-26 23:33:01.880: INFO @log_variables: train age_mae mean: 16.633551 2021-05-26 23:33:01.880: INFO @log_variables: train gender_accuracy mean: 0.589335 2021-05-26 23:33:01.880: INFO @log_variables: train artificial_age_loss mean: 0.264323 2021-05-26 23:33:01.880: INFO @log_variables: train gender_confidence/loss nanmean: 0.074723 2021-05-26 23:33:01.880: INFO @log_variables: train gender_confidence/accuracy mean: 0.560426 2021-05-26 23:33:01.880: INFO @log_variables: train age_confidence/loss mean: 0.039004 2021-05-26 23:33:01.880: INFO @log_variables: train age_confidence/accuracy mean: 0.821113 2021-05-26 23:33:01.880: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:33:01.883: INFO @metrics_hook: train age_mae: 16.634 +-0.206 (13802) 2021-05-26 23:33:01.885: INFO @metrics_hook: train gender_accuracy: 0.589 +-0.008 (13802) 2021-05-26 23:33:04.217: INFO @decay_lr : LR updated to `0.00027687926` 2021-05-26 23:33:04.218: INFO @log_profile : T train: 18.089016 2021-05-26 23:33:04.219: INFO @log_profile : T read data: 0.494650 2021-05-26 23:33:04.219: INFO @log_profile : T hooks: 2.987177 2021-05-26 23:33:04.219: INFO @main_loop : Epoch 16 done 2021-05-26 23:33:04.219: INFO @main_loop : Training epoch 17 2021-05-26 23:33:23.304: INFO @log_variables: train loss nanmean: 2.011338 2021-05-26 23:33:23.304: INFO @log_variables: train age_loss mean: 1.602496 2021-05-26 23:33:23.304: INFO @log_variables: train gender_loss mean: 0.664258 2021-05-26 23:33:23.304: INFO @log_variables: train age_mae mean: 16.685204 2021-05-26 23:33:23.304: INFO @log_variables: train gender_accuracy mean: 0.602214 2021-05-26 23:33:23.304: INFO @log_variables: train artificial_age_loss mean: 0.264792 2021-05-26 23:33:23.304: INFO @log_variables: train gender_confidence/loss nanmean: 0.075580 2021-05-26 23:33:23.304: INFO @log_variables: train gender_confidence/accuracy mean: 0.573785 2021-05-26 23:33:23.305: INFO @log_variables: train age_confidence/loss mean: 0.039339 2021-05-26 23:33:23.305: INFO @log_variables: train age_confidence/accuracy mean: 0.816262 2021-05-26 23:33:23.305: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:33:23.306: INFO @metrics_hook: train age_mae: 16.685 +-0.205 (13824) 2021-05-26 23:33:23.308: INFO @metrics_hook: train gender_accuracy: 0.602 +-0.008 (13824) 2021-05-26 23:33:25.687: INFO @decay_lr : LR updated to `0.00027549488` 2021-05-26 23:33:25.689: INFO @log_profile : T train: 18.131433 2021-05-26 23:33:25.689: INFO @log_profile : T read data: 0.321108 2021-05-26 23:33:25.689: INFO @log_profile : T hooks: 2.964552 2021-05-26 23:33:25.689: INFO @main_loop : Epoch 17 done 2021-05-26 23:33:25.689: INFO @main_loop : Training epoch 18 2021-05-26 23:33:44.479: INFO @log_variables: train loss nanmean: 2.008947 2021-05-26 23:33:44.479: INFO @log_variables: train age_loss mean: 1.593861 2021-05-26 23:33:44.479: INFO @log_variables: train gender_loss mean: 0.664671 2021-05-26 23:33:44.479: INFO @log_variables: train age_mae mean: 16.586470 2021-05-26 23:33:44.479: INFO @log_variables: train gender_accuracy mean: 0.600333 2021-05-26 23:33:44.479: INFO @log_variables: train artificial_age_loss mean: 0.263044 2021-05-26 23:33:44.480: INFO @log_variables: train gender_confidence/loss nanmean: 0.075383 2021-05-26 23:33:44.480: INFO @log_variables: train gender_confidence/accuracy mean: 0.576389 2021-05-26 23:33:44.480: INFO @log_variables: train age_confidence/loss mean: 0.039212 2021-05-26 23:33:44.480: INFO @log_variables: train age_confidence/accuracy mean: 0.820747 2021-05-26 23:33:44.480: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:33:44.482: INFO @metrics_hook: train age_mae: 16.586 +-0.206 (13824) 2021-05-26 23:33:44.486: INFO @metrics_hook: train gender_accuracy: 0.600 +-0.008 (13824) 2021-05-26 23:33:46.946: INFO @decay_lr : LR updated to `0.0002741174` 2021-05-26 23:33:46.947: INFO @log_profile : T train: 17.840384 2021-05-26 23:33:46.947: INFO @log_profile : T read data: 0.321260 2021-05-26 23:33:46.947: INFO @log_profile : T hooks: 3.044267 2021-05-26 23:33:46.947: INFO @main_loop : Epoch 18 done 2021-05-26 23:33:46.947: INFO @main_loop : Training epoch 19 2021-05-26 23:34:06.037: INFO @log_variables: train loss nanmean: 2.003193 2021-05-26 23:34:06.037: INFO @log_variables: train age_loss mean: 1.603574 2021-05-26 23:34:06.038: INFO @log_variables: train gender_loss mean: 0.669208 2021-05-26 23:34:06.038: INFO @log_variables: train age_mae mean: 16.690580 2021-05-26 23:34:06.038: INFO @log_variables: train gender_accuracy mean: 0.590350 2021-05-26 23:34:06.038: INFO @log_variables: train artificial_age_loss mean: 0.262037 2021-05-26 23:34:06.038: INFO @log_variables: train gender_confidence/loss nanmean: 0.074892 2021-05-26 23:34:06.038: INFO @log_variables: train gender_confidence/accuracy mean: 0.563802 2021-05-26 23:34:06.038: INFO @log_variables: train age_confidence/loss mean: 0.038919 2021-05-26 23:34:06.038: INFO @log_variables: train age_confidence/accuracy mean: 0.818504 2021-05-26 23:34:06.038: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:34:06.041: INFO @metrics_hook: train age_mae: 16.691 +-0.205 (13824) 2021-05-26 23:34:06.043: INFO @metrics_hook: train gender_accuracy: 0.590 +-0.008 (13824) 2021-05-26 23:34:08.498: INFO @decay_lr : LR updated to `0.0002727468` 2021-05-26 23:34:08.500: INFO @log_profile : T train: 18.159486 2021-05-26 23:34:08.500: INFO @log_profile : T read data: 0.320819 2021-05-26 23:34:08.500: INFO @log_profile : T hooks: 3.019276 2021-05-26 23:34:08.500: INFO @main_loop : Epoch 19 done 2021-05-26 23:34:08.500: INFO @main_loop : Training epoch 20 2021-05-26 23:34:27.481: INFO @log_variables: train loss nanmean: 1.993490 2021-05-26 23:34:27.481: INFO @log_variables: train age_loss mean: 1.586698 2021-05-26 23:34:27.481: INFO @log_variables: train gender_loss mean: 0.669071 2021-05-26 23:34:27.481: INFO @log_variables: train age_mae mean: 16.532598 2021-05-26 23:34:27.481: INFO @log_variables: train gender_accuracy mean: 0.591291 2021-05-26 23:34:27.482: INFO @log_variables: train artificial_age_loss mean: 0.262062 2021-05-26 23:34:27.482: INFO @log_variables: train gender_confidence/loss nanmean: 0.074784 2021-05-26 23:34:27.482: INFO @log_variables: train gender_confidence/accuracy mean: 0.571511 2021-05-26 23:34:27.482: INFO @log_variables: train age_confidence/loss mean: 0.039035 2021-05-26 23:34:27.482: INFO @log_variables: train age_confidence/accuracy mean: 0.823866 2021-05-26 23:34:27.482: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:34:27.483: INFO @metrics_hook: train age_mae: 16.533 +-0.206 (13802) 2021-05-26 23:34:27.484: INFO @metrics_hook: train gender_accuracy: 0.591 +-0.008 (13802) 2021-05-26 23:34:29.740: INFO @decay_lr : LR updated to `0.00027138306` 2021-05-26 23:34:29.742: INFO @log_profile : T train: 17.921973 2021-05-26 23:34:29.742: INFO @log_profile : T read data: 0.446579 2021-05-26 23:34:29.742: INFO @log_profile : T hooks: 2.820887 2021-05-26 23:34:29.742: INFO @main_loop : Epoch 20 done 2021-05-26 23:34:29.742: INFO @main_loop : Training epoch 21 2021-05-26 23:34:48.700: INFO @log_variables: train loss nanmean: 2.022409 2021-05-26 23:34:48.700: INFO @log_variables: train age_loss mean: 1.611002 2021-05-26 23:34:48.700: INFO @log_variables: train gender_loss mean: 0.662131 2021-05-26 23:34:48.700: INFO @log_variables: train age_mae mean: 16.755632 2021-05-26 23:34:48.700: INFO @log_variables: train gender_accuracy mean: 0.599682 2021-05-26 23:34:48.701: INFO @log_variables: train artificial_age_loss mean: 0.258553 2021-05-26 23:34:48.701: INFO @log_variables: train gender_confidence/loss nanmean: 0.075202 2021-05-26 23:34:48.701: INFO @log_variables: train gender_confidence/accuracy mean: 0.569589 2021-05-26 23:34:48.701: INFO @log_variables: train age_confidence/loss mean: 0.039263 2021-05-26 23:34:48.701: INFO @log_variables: train age_confidence/accuracy mean: 0.819300 2021-05-26 23:34:48.701: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:34:48.703: INFO @metrics_hook: train age_mae: 16.756 +-0.207 (13824) 2021-05-26 23:34:48.706: INFO @metrics_hook: train gender_accuracy: 0.600 +-0.008 (13824) 2021-05-26 23:34:51.055: INFO @decay_lr : LR updated to `0.00027002615` 2021-05-26 23:34:51.056: INFO @log_profile : T train: 17.975207 2021-05-26 23:34:51.056: INFO @log_profile : T read data: 0.342637 2021-05-26 23:34:51.057: INFO @log_profile : T hooks: 2.944695 2021-05-26 23:34:51.057: INFO @main_loop : Epoch 21 done 2021-05-26 23:34:51.057: INFO @main_loop : Training epoch 22 2021-05-26 23:35:10.001: INFO @log_variables: train loss nanmean: 2.005510 2021-05-26 23:35:10.001: INFO @log_variables: train age_loss mean: 1.583627 2021-05-26 23:35:10.001: INFO @log_variables: train gender_loss mean: 0.661583 2021-05-26 23:35:10.001: INFO @log_variables: train age_mae mean: 16.499014 2021-05-26 23:35:10.001: INFO @log_variables: train gender_accuracy mean: 0.603082 2021-05-26 23:35:10.001: INFO @log_variables: train artificial_age_loss mean: 0.259657 2021-05-26 23:35:10.002: INFO @log_variables: train gender_confidence/loss nanmean: 0.075467 2021-05-26 23:35:10.002: INFO @log_variables: train gender_confidence/accuracy mean: 0.575666 2021-05-26 23:35:10.002: INFO @log_variables: train age_confidence/loss mean: 0.039011 2021-05-26 23:35:10.002: INFO @log_variables: train age_confidence/accuracy mean: 0.819300 2021-05-26 23:35:10.002: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:35:10.004: INFO @metrics_hook: train age_mae: 16.499 +-0.207 (13824) 2021-05-26 23:35:10.006: INFO @metrics_hook: train gender_accuracy: 0.603 +-0.008 (13824) 2021-05-26 23:35:12.708: INFO @decay_lr : LR updated to `0.00026867603` 2021-05-26 23:35:12.709: INFO @log_profile : T train: 17.997760 2021-05-26 23:35:12.709: INFO @log_profile : T read data: 0.334070 2021-05-26 23:35:12.709: INFO @log_profile : T hooks: 3.268660 2021-05-26 23:35:12.709: INFO @main_loop : Epoch 22 done 2021-05-26 23:35:12.709: INFO @main_loop : Training epoch 23 2021-05-26 23:35:31.480: INFO @log_variables: train loss nanmean: 1.985506 2021-05-26 23:35:31.480: INFO @log_variables: train age_loss mean: 1.580353 2021-05-26 23:35:31.480: INFO @log_variables: train gender_loss mean: 0.664107 2021-05-26 23:35:31.480: INFO @log_variables: train age_mae mean: 16.469620 2021-05-26 23:35:31.481: INFO @log_variables: train gender_accuracy mean: 0.601273 2021-05-26 23:35:31.481: INFO @log_variables: train artificial_age_loss mean: 0.259936 2021-05-26 23:35:31.481: INFO @log_variables: train gender_confidence/loss nanmean: 0.075400 2021-05-26 23:35:31.481: INFO @log_variables: train gender_confidence/accuracy mean: 0.579427 2021-05-26 23:35:31.481: INFO @log_variables: train age_confidence/loss mean: 0.039789 2021-05-26 23:35:31.481: INFO @log_variables: train age_confidence/accuracy mean: 0.816334 2021-05-26 23:35:31.481: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:35:31.485: INFO @metrics_hook: train age_mae: 16.470 +-0.207 (13824) 2021-05-26 23:35:31.488: INFO @metrics_hook: train gender_accuracy: 0.601 +-0.008 (13824) 2021-05-26 23:35:33.926: INFO @decay_lr : LR updated to `0.00026733265` 2021-05-26 23:35:33.927: INFO @log_profile : T train: 17.829892 2021-05-26 23:35:33.928: INFO @log_profile : T read data: 0.322992 2021-05-26 23:35:33.928: INFO @log_profile : T hooks: 3.010733 2021-05-26 23:35:33.928: INFO @main_loop : Epoch 23 done 2021-05-26 23:35:33.928: INFO @main_loop : Training epoch 24 2021-05-26 23:35:53.209: INFO @log_variables: train loss nanmean: 1.948629 2021-05-26 23:35:53.209: INFO @log_variables: train age_loss mean: 1.558312 2021-05-26 23:35:53.209: INFO @log_variables: train gender_loss mean: 0.656934 2021-05-26 23:35:53.209: INFO @log_variables: train age_mae mean: 16.265347 2021-05-26 23:35:53.209: INFO @log_variables: train gender_accuracy mean: 0.607810 2021-05-26 23:35:53.209: INFO @log_variables: train artificial_age_loss mean: 0.259213 2021-05-26 23:35:53.210: INFO @log_variables: train gender_confidence/loss nanmean: 0.075443 2021-05-26 23:35:53.210: INFO @log_variables: train gender_confidence/accuracy mean: 0.580785 2021-05-26 23:35:53.210: INFO @log_variables: train age_confidence/loss mean: 0.039471 2021-05-26 23:35:53.210: INFO @log_variables: train age_confidence/accuracy mean: 0.816403 2021-05-26 23:35:53.210: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:35:53.211: INFO @metrics_hook: train age_mae: 16.265 +-0.205 (13802) 2021-05-26 23:35:53.212: INFO @metrics_hook: train gender_accuracy: 0.608 +-0.008 (13802) 2021-05-26 23:35:55.585: INFO @decay_lr : LR updated to `0.000265996` 2021-05-26 23:35:55.587: INFO @log_profile : T train: 18.187374 2021-05-26 23:35:55.587: INFO @log_profile : T read data: 0.469818 2021-05-26 23:35:55.587: INFO @log_profile : T hooks: 2.940197 2021-05-26 23:35:55.587: INFO @main_loop : Epoch 24 done 2021-05-26 23:35:55.587: INFO @main_loop : Training epoch 25 2021-05-26 23:36:14.932: INFO @log_variables: train loss nanmean: 1.969656 2021-05-26 23:36:14.933: INFO @log_variables: train age_loss mean: 1.575041 2021-05-26 23:36:14.933: INFO @log_variables: train gender_loss mean: 0.654674 2021-05-26 23:36:14.933: INFO @log_variables: train age_mae mean: 16.429041 2021-05-26 23:36:14.933: INFO @log_variables: train gender_accuracy mean: 0.616970 2021-05-26 23:36:14.933: INFO @log_variables: train artificial_age_loss mean: 0.257075 2021-05-26 23:36:14.933: INFO @log_variables: train gender_confidence/loss nanmean: 0.076119 2021-05-26 23:36:14.933: INFO @log_variables: train gender_confidence/accuracy mean: 0.590567 2021-05-26 23:36:14.934: INFO @log_variables: train age_confidence/loss mean: 0.039427 2021-05-26 23:36:14.934: INFO @log_variables: train age_confidence/accuracy mean: 0.814887 2021-05-26 23:36:14.934: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:36:14.935: INFO @metrics_hook: train age_mae: 16.429 +-0.207 (13824) 2021-05-26 23:36:14.937: INFO @metrics_hook: train gender_accuracy: 0.617 +-0.008 (13824) 2021-05-26 23:36:17.217: INFO @decay_lr : LR updated to `0.000264666` 2021-05-26 23:36:17.218: INFO @log_profile : T train: 18.374950 2021-05-26 23:36:17.218: INFO @log_profile : T read data: 0.306918 2021-05-26 23:36:17.218: INFO @log_profile : T hooks: 2.893593 2021-05-26 23:36:17.218: INFO @main_loop : Epoch 25 done 2021-05-26 23:36:17.218: INFO @main_loop : Training epoch 26 2021-05-26 23:36:36.023: INFO @log_variables: train loss nanmean: 1.991926 2021-05-26 23:36:36.025: INFO @log_variables: train age_loss mean: 1.556986 2021-05-26 23:36:36.025: INFO @log_variables: train gender_loss mean: 0.655301 2021-05-26 23:36:36.026: INFO @log_variables: train age_mae mean: 16.270327 2021-05-26 23:36:36.027: INFO @log_variables: train gender_accuracy mean: 0.613860 2021-05-26 23:36:36.028: INFO @log_variables: train artificial_age_loss mean: 0.253519 2021-05-26 23:36:36.029: INFO @log_variables: train gender_confidence/loss nanmean: 0.076023 2021-05-26 23:36:36.029: INFO @log_variables: train gender_confidence/accuracy mean: 0.583840 2021-05-26 23:36:36.029: INFO @log_variables: train age_confidence/loss mean: 0.040306 2021-05-26 23:36:36.029: INFO @log_variables: train age_confidence/accuracy mean: 0.811994 2021-05-26 23:36:36.029: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:36:36.030: INFO @metrics_hook: train age_mae: 16.270 +-0.207 (13824) 2021-05-26 23:36:36.032: INFO @metrics_hook: train gender_accuracy: 0.614 +-0.008 (13824) 2021-05-26 23:36:38.266: INFO @decay_lr : LR updated to `0.0002633427` 2021-05-26 23:36:38.267: INFO @log_profile : T train: 17.871118 2021-05-26 23:36:38.267: INFO @log_profile : T read data: 0.294380 2021-05-26 23:36:38.267: INFO @log_profile : T hooks: 2.831547 2021-05-26 23:36:38.267: INFO @main_loop : Epoch 26 done 2021-05-26 23:36:38.267: INFO @main_loop : Training epoch 27 2021-05-26 23:36:57.228: INFO @log_variables: train loss nanmean: 1.964507 2021-05-26 23:36:57.228: INFO @log_variables: train age_loss mean: 1.522302 2021-05-26 23:36:57.228: INFO @log_variables: train gender_loss mean: 0.651442 2021-05-26 23:36:57.229: INFO @log_variables: train age_mae mean: 15.915902 2021-05-26 23:36:57.229: INFO @log_variables: train gender_accuracy mean: 0.616464 2021-05-26 23:36:57.229: INFO @log_variables: train artificial_age_loss mean: 0.257566 2021-05-26 23:36:57.229: INFO @log_variables: train gender_confidence/loss nanmean: 0.075637 2021-05-26 23:36:57.229: INFO @log_variables: train gender_confidence/accuracy mean: 0.594473 2021-05-26 23:36:57.229: INFO @log_variables: train age_confidence/loss mean: 0.040632 2021-05-26 23:36:57.229: INFO @log_variables: train age_confidence/accuracy mean: 0.809968 2021-05-26 23:36:57.229: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:36:57.231: INFO @metrics_hook: train age_mae: 15.916 +-0.204 (13824) 2021-05-26 23:36:57.232: INFO @metrics_hook: train gender_accuracy: 0.616 +-0.008 (13824) 2021-05-26 23:36:59.400: INFO @decay_lr : LR updated to `0.00026202598` 2021-05-26 23:36:59.401: INFO @log_profile : T train: 18.004139 2021-05-26 23:36:59.402: INFO @log_profile : T read data: 0.297643 2021-05-26 23:36:59.402: INFO @log_profile : T hooks: 2.778052 2021-05-26 23:36:59.402: INFO @main_loop : Epoch 27 done 2021-05-26 23:36:59.402: INFO @main_loop : Training epoch 28 2021-05-26 23:37:18.382: INFO @log_variables: train loss nanmean: 1.953644 2021-05-26 23:37:18.382: INFO @log_variables: train age_loss mean: 1.520401 2021-05-26 23:37:18.382: INFO @log_variables: train gender_loss mean: 0.652095 2021-05-26 23:37:18.382: INFO @log_variables: train age_mae mean: 15.905108 2021-05-26 23:37:18.382: INFO @log_variables: train gender_accuracy mean: 0.619620 2021-05-26 23:37:18.382: INFO @log_variables: train artificial_age_loss mean: 0.256501 2021-05-26 23:37:18.382: INFO @log_variables: train gender_confidence/loss nanmean: 0.076201 2021-05-26 23:37:18.382: INFO @log_variables: train gender_confidence/accuracy mean: 0.580496 2021-05-26 23:37:18.383: INFO @log_variables: train age_confidence/loss mean: 0.040885 2021-05-26 23:37:18.383: INFO @log_variables: train age_confidence/accuracy mean: 0.805028 2021-05-26 23:37:18.383: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:37:18.385: INFO @metrics_hook: train age_mae: 15.905 +-0.204 (13802) 2021-05-26 23:37:18.387: INFO @metrics_hook: train gender_accuracy: 0.620 +-0.008 (13802) 2021-05-26 23:37:20.636: INFO @decay_lr : LR updated to `0.00026071584` 2021-05-26 23:37:20.637: INFO @log_profile : T train: 17.878659 2021-05-26 23:37:20.637: INFO @log_profile : T read data: 0.424311 2021-05-26 23:37:20.637: INFO @log_profile : T hooks: 2.879537 2021-05-26 23:37:20.638: INFO @main_loop : Epoch 28 done 2021-05-26 23:37:20.638: INFO @main_loop : Training epoch 29 2021-05-26 23:37:39.808: INFO @log_variables: train loss nanmean: 1.918912 2021-05-26 23:37:39.809: INFO @log_variables: train age_loss mean: 1.530841 2021-05-26 23:37:39.809: INFO @log_variables: train gender_loss mean: 0.652894 2021-05-26 23:37:39.809: INFO @log_variables: train age_mae mean: 16.005150 2021-05-26 23:37:39.809: INFO @log_variables: train gender_accuracy mean: 0.620515 2021-05-26 23:37:39.809: INFO @log_variables: train artificial_age_loss mean: 0.257034 2021-05-26 23:37:39.809: INFO @log_variables: train gender_confidence/loss nanmean: 0.076107 2021-05-26 23:37:39.809: INFO @log_variables: train gender_confidence/accuracy mean: 0.588831 2021-05-26 23:37:39.809: INFO @log_variables: train age_confidence/loss mean: 0.040381 2021-05-26 23:37:39.809: INFO @log_variables: train age_confidence/accuracy mean: 0.811921 2021-05-26 23:37:39.809: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:37:39.811: INFO @metrics_hook: train age_mae: 16.005 +-0.205 (13824) 2021-05-26 23:37:39.814: INFO @metrics_hook: train gender_accuracy: 0.621 +-0.008 (13824) 2021-05-26 23:37:42.091: INFO @decay_lr : LR updated to `0.00025941225` 2021-05-26 23:37:42.092: INFO @log_profile : T train: 18.232357 2021-05-26 23:37:42.092: INFO @log_profile : T read data: 0.298133 2021-05-26 23:37:42.092: INFO @log_profile : T hooks: 2.870593 2021-05-26 23:37:42.092: INFO @main_loop : Epoch 29 done 2021-05-26 23:37:42.093: INFO @main_loop : Training epoch 30 2021-05-26 23:38:01.002: INFO @log_variables: train loss nanmean: 1.909399 2021-05-26 23:38:01.002: INFO @log_variables: train age_loss mean: 1.519256 2021-05-26 23:38:01.003: INFO @log_variables: train gender_loss mean: 0.645049 2021-05-26 23:38:01.003: INFO @log_variables: train age_mae mean: 15.902161 2021-05-26 23:38:01.003: INFO @log_variables: train gender_accuracy mean: 0.627749 2021-05-26 23:38:01.003: INFO @log_variables: train artificial_age_loss mean: 0.253017 2021-05-26 23:38:01.003: INFO @log_variables: train gender_confidence/loss nanmean: 0.076185 2021-05-26 23:38:01.003: INFO @log_variables: train gender_confidence/accuracy mean: 0.599682 2021-05-26 23:38:01.003: INFO @log_variables: train age_confidence/loss mean: 0.040910 2021-05-26 23:38:01.003: INFO @log_variables: train age_confidence/accuracy mean: 0.808015 2021-05-26 23:38:01.004: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:38:01.006: INFO @metrics_hook: train age_mae: 15.902 +-0.205 (13824) 2021-05-26 23:38:01.008: INFO @metrics_hook: train gender_accuracy: 0.628 +-0.008 (13824) 2021-05-26 23:38:03.264: INFO @decay_lr : LR updated to `0.00025811518` 2021-05-26 23:38:03.265: INFO @log_profile : T train: 17.985440 2021-05-26 23:38:03.265: INFO @log_profile : T read data: 0.300546 2021-05-26 23:38:03.265: INFO @log_profile : T hooks: 2.835697 2021-05-26 23:38:03.265: INFO @main_loop : Epoch 30 done 2021-05-26 23:38:03.265: INFO @main_loop : Training epoch 31 2021-05-26 23:38:22.357: INFO @log_variables: train loss nanmean: 1.914756 2021-05-26 23:38:22.357: INFO @log_variables: train age_loss mean: 1.520592 2021-05-26 23:38:22.357: INFO @log_variables: train gender_loss mean: 0.642468 2021-05-26 23:38:22.357: INFO @log_variables: train age_mae mean: 15.906566 2021-05-26 23:38:22.357: INFO @log_variables: train gender_accuracy mean: 0.635560 2021-05-26 23:38:22.357: INFO @log_variables: train artificial_age_loss mean: 0.255870 2021-05-26 23:38:22.357: INFO @log_variables: train gender_confidence/loss nanmean: 0.076824 2021-05-26 23:38:22.357: INFO @log_variables: train gender_confidence/accuracy mean: 0.602304 2021-05-26 23:38:22.357: INFO @log_variables: train age_confidence/loss mean: 0.040613 2021-05-26 23:38:22.357: INFO @log_variables: train age_confidence/accuracy mean: 0.812274 2021-05-26 23:38:22.357: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:38:22.359: INFO @metrics_hook: train age_mae: 15.907 +-0.205 (13802) 2021-05-26 23:38:22.360: INFO @metrics_hook: train gender_accuracy: 0.636 +-0.008 (13802) 2021-05-26 23:38:25.000: INFO @decay_lr : LR updated to `0.0002568246` 2021-05-26 23:38:25.002: INFO @log_profile : T train: 17.998854 2021-05-26 23:38:25.002: INFO @log_profile : T read data: 0.445830 2021-05-26 23:38:25.002: INFO @log_profile : T hooks: 3.240799 2021-05-26 23:38:25.002: INFO @main_loop : Epoch 31 done 2021-05-26 23:38:25.002: INFO @main_loop : Training epoch 32 2021-05-26 23:38:44.055: INFO @log_variables: train loss nanmean: 1.913663 2021-05-26 23:38:44.055: INFO @log_variables: train age_loss mean: 1.494681 2021-05-26 23:38:44.055: INFO @log_variables: train gender_loss mean: 0.641945 2021-05-26 23:38:44.055: INFO @log_variables: train age_mae mean: 15.670430 2021-05-26 23:38:44.055: INFO @log_variables: train gender_accuracy mean: 0.626881 2021-05-26 23:38:44.055: INFO @log_variables: train artificial_age_loss mean: 0.257442 2021-05-26 23:38:44.056: INFO @log_variables: train gender_confidence/loss nanmean: 0.075856 2021-05-26 23:38:44.056: INFO @log_variables: train gender_confidence/accuracy mean: 0.599537 2021-05-26 23:38:44.056: INFO @log_variables: train age_confidence/loss mean: 0.041398 2021-05-26 23:38:44.056: INFO @log_variables: train age_confidence/accuracy mean: 0.802879 2021-05-26 23:38:44.056: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:38:44.058: INFO @metrics_hook: train age_mae: 15.670 +-0.202 (13824) 2021-05-26 23:38:44.060: INFO @metrics_hook: train gender_accuracy: 0.627 +-0.008 (13824) 2021-05-26 23:38:46.250: INFO @decay_lr : LR updated to `0.00025554048` 2021-05-26 23:38:46.251: INFO @log_profile : T train: 18.090530 2021-05-26 23:38:46.251: INFO @log_profile : T read data: 0.303310 2021-05-26 23:38:46.251: INFO @log_profile : T hooks: 2.804592 2021-05-26 23:38:46.251: INFO @main_loop : Epoch 32 done 2021-05-26 23:38:46.251: INFO @main_loop : Training epoch 33 2021-05-26 23:39:05.348: INFO @log_variables: train loss nanmean: 1.909047 2021-05-26 23:39:05.349: INFO @log_variables: train age_loss mean: 1.493539 2021-05-26 23:39:05.349: INFO @log_variables: train gender_loss mean: 0.635412 2021-05-26 23:39:05.349: INFO @log_variables: train age_mae mean: 15.658939 2021-05-26 23:39:05.349: INFO @log_variables: train gender_accuracy mean: 0.636574 2021-05-26 23:39:05.349: INFO @log_variables: train artificial_age_loss mean: 0.248345 2021-05-26 23:39:05.349: INFO @log_variables: train gender_confidence/loss nanmean: 0.076567 2021-05-26 23:39:05.349: INFO @log_variables: train gender_confidence/accuracy mean: 0.608001 2021-05-26 23:39:05.349: INFO @log_variables: train age_confidence/loss mean: 0.041881 2021-05-26 23:39:05.349: INFO @log_variables: train age_confidence/accuracy mean: 0.797164 2021-05-26 23:39:05.349: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:39:05.350: INFO @metrics_hook: train age_mae: 15.659 +-0.206 (13824) 2021-05-26 23:39:05.351: INFO @metrics_hook: train gender_accuracy: 0.637 +-0.008 (13824) 2021-05-26 23:39:07.623: INFO @decay_lr : LR updated to `0.00025426276` 2021-05-26 23:39:07.624: INFO @log_profile : T train: 18.165809 2021-05-26 23:39:07.624: INFO @log_profile : T read data: 0.317349 2021-05-26 23:39:07.625: INFO @log_profile : T hooks: 2.836932 2021-05-26 23:39:07.625: INFO @main_loop : Epoch 33 done 2021-05-26 23:39:07.625: INFO @main_loop : Training epoch 34 2021-05-26 23:39:26.389: INFO @log_variables: train loss nanmean: 1.908108 2021-05-26 23:39:26.390: INFO @log_variables: train age_loss mean: 1.488703 2021-05-26 23:39:26.390: INFO @log_variables: train gender_loss mean: 0.638395 2021-05-26 23:39:26.390: INFO @log_variables: train age_mae mean: 15.620190 2021-05-26 23:39:26.390: INFO @log_variables: train gender_accuracy mean: 0.635055 2021-05-26 23:39:26.390: INFO @log_variables: train artificial_age_loss mean: 0.252742 2021-05-26 23:39:26.390: INFO @log_variables: train gender_confidence/loss nanmean: 0.076342 2021-05-26 23:39:26.390: INFO @log_variables: train gender_confidence/accuracy mean: 0.605613 2021-05-26 23:39:26.390: INFO @log_variables: train age_confidence/loss mean: 0.041877 2021-05-26 23:39:26.390: INFO @log_variables: train age_confidence/accuracy mean: 0.798466 2021-05-26 23:39:26.390: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:39:26.392: INFO @metrics_hook: train age_mae: 15.620 +-0.204 (13824) 2021-05-26 23:39:26.393: INFO @metrics_hook: train gender_accuracy: 0.635 +-0.008 (13824) 2021-05-26 23:39:28.489: INFO @decay_lr : LR updated to `0.00025299145` 2021-05-26 23:39:28.490: INFO @log_profile : T train: 17.813008 2021-05-26 23:39:28.490: INFO @log_profile : T read data: 0.321807 2021-05-26 23:39:28.490: INFO @log_profile : T hooks: 2.675451 2021-05-26 23:39:28.490: INFO @main_loop : Epoch 34 done 2021-05-26 23:39:28.490: INFO @main_loop : Training epoch 35 2021-05-26 23:39:47.849: INFO @log_variables: train loss nanmean: 1.897395 2021-05-26 23:39:47.849: INFO @log_variables: train age_loss mean: 1.489342 2021-05-26 23:39:47.850: INFO @log_variables: train gender_loss mean: 0.636212 2021-05-26 23:39:47.850: INFO @log_variables: train age_mae mean: 15.618584 2021-05-26 23:39:47.850: INFO @log_variables: train gender_accuracy mean: 0.639038 2021-05-26 23:39:47.850: INFO @log_variables: train artificial_age_loss mean: 0.250526 2021-05-26 23:39:47.850: INFO @log_variables: train gender_confidence/loss nanmean: 0.076472 2021-05-26 23:39:47.850: INFO @log_variables: train gender_confidence/accuracy mean: 0.608173 2021-05-26 23:39:47.850: INFO @log_variables: train age_confidence/loss mean: 0.042030 2021-05-26 23:39:47.850: INFO @log_variables: train age_confidence/accuracy mean: 0.800681 2021-05-26 23:39:47.850: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:39:47.851: INFO @metrics_hook: train age_mae: 15.619 +-0.205 (13802) 2021-05-26 23:39:47.853: INFO @metrics_hook: train gender_accuracy: 0.639 +-0.008 (13802) 2021-05-26 23:39:49.970: INFO @decay_lr : LR updated to `0.00025172648` 2021-05-26 23:39:49.971: INFO @log_profile : T train: 18.279426 2021-05-26 23:39:49.971: INFO @log_profile : T read data: 0.444599 2021-05-26 23:39:49.971: INFO @log_profile : T hooks: 2.701092 2021-05-26 23:39:49.971: INFO @main_loop : Epoch 35 done 2021-05-26 23:39:49.971: INFO @main_loop : Training epoch 36 2021-05-26 23:40:08.875: INFO @log_variables: train loss nanmean: 1.872359 2021-05-26 23:40:08.875: INFO @log_variables: train age_loss mean: 1.481974 2021-05-26 23:40:08.875: INFO @log_variables: train gender_loss mean: 0.631083 2021-05-26 23:40:08.875: INFO @log_variables: train age_mae mean: 15.570375 2021-05-26 23:40:08.875: INFO @log_variables: train gender_accuracy mean: 0.647714 2021-05-26 23:40:08.875: INFO @log_variables: train artificial_age_loss mean: 0.248586 2021-05-26 23:40:08.876: INFO @log_variables: train gender_confidence/loss nanmean: 0.077041 2021-05-26 23:40:08.876: INFO @log_variables: train gender_confidence/accuracy mean: 0.613860 2021-05-26 23:40:08.876: INFO @log_variables: train age_confidence/loss mean: 0.041814 2021-05-26 23:40:08.876: INFO @log_variables: train age_confidence/accuracy mean: 0.799045 2021-05-26 23:40:08.876: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:40:08.878: INFO @metrics_hook: train age_mae: 15.570 +-0.204 (13824) 2021-05-26 23:40:08.880: INFO @metrics_hook: train gender_accuracy: 0.648 +-0.008 (13824) 2021-05-26 23:40:11.071: INFO @decay_lr : LR updated to `0.00025046786` 2021-05-26 23:40:11.073: INFO @log_profile : T train: 17.922045 2021-05-26 23:40:11.073: INFO @log_profile : T read data: 0.320914 2021-05-26 23:40:11.073: INFO @log_profile : T hooks: 2.805338 2021-05-26 23:40:11.073: INFO @main_loop : Epoch 36 done 2021-05-26 23:40:11.073: INFO @main_loop : Training epoch 37 2021-05-26 23:40:30.034: INFO @log_variables: train loss nanmean: 1.901579 2021-05-26 23:40:30.035: INFO @log_variables: train age_loss mean: 1.471961 2021-05-26 23:40:30.035: INFO @log_variables: train gender_loss mean: 0.632322 2021-05-26 23:40:30.035: INFO @log_variables: train age_mae mean: 15.467559 2021-05-26 23:40:30.035: INFO @log_variables: train gender_accuracy mean: 0.641059 2021-05-26 23:40:30.035: INFO @log_variables: train artificial_age_loss mean: 0.247519 2021-05-26 23:40:30.035: INFO @log_variables: train gender_confidence/loss nanmean: 0.076452 2021-05-26 23:40:30.035: INFO @log_variables: train gender_confidence/accuracy mean: 0.611256 2021-05-26 23:40:30.035: INFO @log_variables: train age_confidence/loss mean: 0.041736 2021-05-26 23:40:30.035: INFO @log_variables: train age_confidence/accuracy mean: 0.800709 2021-05-26 23:40:30.035: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:40:30.037: INFO @metrics_hook: train age_mae: 15.468 +-0.205 (13824) 2021-05-26 23:40:30.038: INFO @metrics_hook: train gender_accuracy: 0.641 +-0.008 (13824) 2021-05-26 23:40:32.305: INFO @decay_lr : LR updated to `0.00024921552` 2021-05-26 23:40:32.306: INFO @log_profile : T train: 18.030699 2021-05-26 23:40:32.307: INFO @log_profile : T read data: 0.299104 2021-05-26 23:40:32.307: INFO @log_profile : T hooks: 2.850560 2021-05-26 23:40:32.307: INFO @main_loop : Epoch 37 done 2021-05-26 23:40:32.307: INFO @main_loop : Training epoch 38 2021-05-26 23:40:51.373: INFO @log_variables: train loss nanmean: 1.844679 2021-05-26 23:40:51.374: INFO @log_variables: train age_loss mean: 1.475908 2021-05-26 23:40:51.374: INFO @log_variables: train gender_loss mean: 0.628952 2021-05-26 23:40:51.374: INFO @log_variables: train age_mae mean: 15.486423 2021-05-26 23:40:51.374: INFO @log_variables: train gender_accuracy mean: 0.647352 2021-05-26 23:40:51.374: INFO @log_variables: train artificial_age_loss mean: 0.249137 2021-05-26 23:40:51.374: INFO @log_variables: train gender_confidence/loss nanmean: 0.076362 2021-05-26 23:40:51.374: INFO @log_variables: train gender_confidence/accuracy mean: 0.620443 2021-05-26 23:40:51.374: INFO @log_variables: train age_confidence/loss mean: 0.042473 2021-05-26 23:40:51.374: INFO @log_variables: train age_confidence/accuracy mean: 0.793837 2021-05-26 23:40:51.375: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:40:51.377: INFO @metrics_hook: train age_mae: 15.486 +-0.204 (13824) 2021-05-26 23:40:51.379: INFO @metrics_hook: train gender_accuracy: 0.647 +-0.008 (13824) 2021-05-26 23:40:53.623: INFO @decay_lr : LR updated to `0.00024796944` 2021-05-26 23:40:53.624: INFO @log_profile : T train: 18.107145 2021-05-26 23:40:53.624: INFO @log_profile : T read data: 0.313698 2021-05-26 23:40:53.624: INFO @log_profile : T hooks: 2.844434 2021-05-26 23:40:53.624: INFO @main_loop : Epoch 38 done 2021-05-26 23:40:53.625: INFO @main_loop : Training epoch 39 2021-05-26 23:41:12.679: INFO @log_variables: train loss nanmean: 1.853743 2021-05-26 23:41:12.679: INFO @log_variables: train age_loss mean: 1.456941 2021-05-26 23:41:12.680: INFO @log_variables: train gender_loss mean: 0.625346 2021-05-26 23:41:12.680: INFO @log_variables: train age_mae mean: 15.318243 2021-05-26 23:41:12.680: INFO @log_variables: train gender_accuracy mean: 0.651427 2021-05-26 23:41:12.680: INFO @log_variables: train artificial_age_loss mean: 0.249772 2021-05-26 23:41:12.680: INFO @log_variables: train gender_confidence/loss nanmean: 0.076742 2021-05-26 23:41:12.680: INFO @log_variables: train gender_confidence/accuracy mean: 0.617447 2021-05-26 23:41:12.680: INFO @log_variables: train age_confidence/loss mean: 0.042349 2021-05-26 23:41:12.680: INFO @log_variables: train age_confidence/accuracy mean: 0.797855 2021-05-26 23:41:12.680: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:41:12.682: INFO @metrics_hook: train age_mae: 15.318 +-0.202 (13802) 2021-05-26 23:41:12.684: INFO @metrics_hook: train gender_accuracy: 0.651 +-0.008 (13802) 2021-05-26 23:41:14.953: INFO @decay_lr : LR updated to `0.00024672959` 2021-05-26 23:41:14.955: INFO @log_profile : T train: 17.947631 2021-05-26 23:41:14.955: INFO @log_profile : T read data: 0.442563 2021-05-26 23:41:14.955: INFO @log_profile : T hooks: 2.886472 2021-05-26 23:41:14.955: INFO @main_loop : Epoch 39 done 2021-05-26 23:41:14.955: INFO @main_loop : Training epoch 40 2021-05-26 23:41:34.173: INFO @log_variables: train loss nanmean: 1.861223 2021-05-26 23:41:34.173: INFO @log_variables: train age_loss mean: 1.451748 2021-05-26 23:41:34.173: INFO @log_variables: train gender_loss mean: 0.622788 2021-05-26 23:41:34.173: INFO @log_variables: train age_mae mean: 15.288417 2021-05-26 23:41:34.173: INFO @log_variables: train gender_accuracy mean: 0.649740 2021-05-26 23:41:34.174: INFO @log_variables: train artificial_age_loss mean: 0.244638 2021-05-26 23:41:34.174: INFO @log_variables: train gender_confidence/loss nanmean: 0.076199 2021-05-26 23:41:34.174: INFO @log_variables: train gender_confidence/accuracy mean: 0.623264 2021-05-26 23:41:34.174: INFO @log_variables: train age_confidence/loss mean: 0.043425 2021-05-26 23:41:34.174: INFO @log_variables: train age_confidence/accuracy mean: 0.789858 2021-05-26 23:41:34.174: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:41:34.175: INFO @metrics_hook: train age_mae: 15.288 +-0.205 (13824) 2021-05-26 23:41:34.177: INFO @metrics_hook: train gender_accuracy: 0.650 +-0.008 (13824) 2021-05-26 23:41:36.507: INFO @decay_lr : LR updated to `0.00024549593` 2021-05-26 23:41:36.509: INFO @log_profile : T train: 18.268527 2021-05-26 23:41:36.509: INFO @log_profile : T read data: 0.299710 2021-05-26 23:41:36.509: INFO @log_profile : T hooks: 2.933439 2021-05-26 23:41:36.509: INFO @main_loop : Epoch 40 done 2021-05-26 23:41:36.509: INFO @main_loop : Training epoch 41 2021-05-26 23:41:55.441: INFO @log_variables: train loss nanmean: 1.828703 2021-05-26 23:41:55.441: INFO @log_variables: train age_loss mean: 1.437444 2021-05-26 23:41:55.441: INFO @log_variables: train gender_loss mean: 0.622402 2021-05-26 23:41:55.441: INFO @log_variables: train age_mae mean: 15.129399 2021-05-26 23:41:55.441: INFO @log_variables: train gender_accuracy mean: 0.651765 2021-05-26 23:41:55.441: INFO @log_variables: train artificial_age_loss mean: 0.246353 2021-05-26 23:41:55.441: INFO @log_variables: train gender_confidence/loss nanmean: 0.076542 2021-05-26 23:41:55.441: INFO @log_variables: train gender_confidence/accuracy mean: 0.619864 2021-05-26 23:41:55.441: INFO @log_variables: train age_confidence/loss mean: 0.043906 2021-05-26 23:41:55.441: INFO @log_variables: train age_confidence/accuracy mean: 0.783348 2021-05-26 23:41:55.441: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:41:55.443: INFO @metrics_hook: train age_mae: 15.129 +-0.204 (13824) 2021-05-26 23:41:55.444: INFO @metrics_hook: train gender_accuracy: 0.652 +-0.008 (13824) 2021-05-26 23:41:58.232: INFO @decay_lr : LR updated to `0.00024426845` 2021-05-26 23:41:58.234: INFO @log_profile : T train: 17.981195 2021-05-26 23:41:58.234: INFO @log_profile : T read data: 0.293883 2021-05-26 23:41:58.234: INFO @log_profile : T hooks: 3.395311 2021-05-26 23:41:58.234: INFO @main_loop : Epoch 41 done 2021-05-26 23:41:58.234: INFO @main_loop : Training epoch 42 2021-05-26 23:42:17.397: INFO @log_variables: train loss nanmean: 1.807819 2021-05-26 23:42:17.397: INFO @log_variables: train age_loss mean: 1.437360 2021-05-26 23:42:17.398: INFO @log_variables: train gender_loss mean: 0.622067 2021-05-26 23:42:17.398: INFO @log_variables: train age_mae mean: 15.137225 2021-05-26 23:42:17.398: INFO @log_variables: train gender_accuracy mean: 0.654080 2021-05-26 23:42:17.398: INFO @log_variables: train artificial_age_loss mean: 0.244217 2021-05-26 23:42:17.398: INFO @log_variables: train gender_confidence/loss nanmean: 0.076588 2021-05-26 23:42:17.398: INFO @log_variables: train gender_confidence/accuracy mean: 0.619141 2021-05-26 23:42:17.398: INFO @log_variables: train age_confidence/loss mean: 0.043530 2021-05-26 23:42:17.398: INFO @log_variables: train age_confidence/accuracy mean: 0.787905 2021-05-26 23:42:17.398: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:42:17.399: INFO @metrics_hook: train age_mae: 15.137 +-0.204 (13824) 2021-05-26 23:42:17.400: INFO @metrics_hook: train gender_accuracy: 0.654 +-0.008 (13824) 2021-05-26 23:42:19.706: INFO @decay_lr : LR updated to `0.0002430471` 2021-05-26 23:42:19.707: INFO @log_profile : T train: 18.192722 2021-05-26 23:42:19.707: INFO @log_profile : T read data: 0.314025 2021-05-26 23:42:19.707: INFO @log_profile : T hooks: 2.912395 2021-05-26 23:42:19.707: INFO @main_loop : Epoch 42 done 2021-05-26 23:42:19.707: INFO @main_loop : Training epoch 43 2021-05-26 23:42:38.781: INFO @log_variables: train loss nanmean: 1.839219 2021-05-26 23:42:38.781: INFO @log_variables: train age_loss mean: 1.435263 2021-05-26 23:42:38.781: INFO @log_variables: train gender_loss mean: 0.617052 2021-05-26 23:42:38.781: INFO @log_variables: train age_mae mean: 15.125813 2021-05-26 23:42:38.781: INFO @log_variables: train gender_accuracy mean: 0.660991 2021-05-26 23:42:38.781: INFO @log_variables: train artificial_age_loss mean: 0.248466 2021-05-26 23:42:38.781: INFO @log_variables: train gender_confidence/loss nanmean: 0.077064 2021-05-26 23:42:38.782: INFO @log_variables: train gender_confidence/accuracy mean: 0.624330 2021-05-26 23:42:38.782: INFO @log_variables: train age_confidence/loss mean: 0.043184 2021-05-26 23:42:38.782: INFO @log_variables: train age_confidence/accuracy mean: 0.790972 2021-05-26 23:42:38.782: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:42:38.784: INFO @metrics_hook: train age_mae: 15.126 +-0.203 (13802) 2021-05-26 23:42:38.786: INFO @metrics_hook: train gender_accuracy: 0.661 +-0.008 (13802) 2021-05-26 23:42:41.093: INFO @decay_lr : LR updated to `0.00024183188` 2021-05-26 23:42:41.094: INFO @log_profile : T train: 17.962863 2021-05-26 23:42:41.094: INFO @log_profile : T read data: 0.446821 2021-05-26 23:42:41.094: INFO @log_profile : T hooks: 2.923405 2021-05-26 23:42:41.094: INFO @main_loop : Epoch 43 done 2021-05-26 23:42:41.094: INFO @main_loop : Training epoch 44 2021-05-26 23:43:00.129: INFO @log_variables: train loss nanmean: 1.818134 2021-05-26 23:43:00.129: INFO @log_variables: train age_loss mean: 1.420217 2021-05-26 23:43:00.129: INFO @log_variables: train gender_loss mean: 0.608688 2021-05-26 23:43:00.129: INFO @log_variables: train age_mae mean: 14.961928 2021-05-26 23:43:00.129: INFO @log_variables: train gender_accuracy mean: 0.668475 2021-05-26 23:43:00.129: INFO @log_variables: train artificial_age_loss mean: 0.243766 2021-05-26 23:43:00.129: INFO @log_variables: train gender_confidence/loss nanmean: 0.077296 2021-05-26 23:43:00.129: INFO @log_variables: train gender_confidence/accuracy mean: 0.628111 2021-05-26 23:43:00.130: INFO @log_variables: train age_confidence/loss mean: 0.043344 2021-05-26 23:43:00.130: INFO @log_variables: train age_confidence/accuracy mean: 0.787688 2021-05-26 23:43:00.130: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:43:00.131: INFO @metrics_hook: train age_mae: 14.962 +-0.201 (13824) 2021-05-26 23:43:00.133: INFO @metrics_hook: train gender_accuracy: 0.668 +-0.008 (13824) 2021-05-26 23:43:02.386: INFO @decay_lr : LR updated to `0.00024062271` 2021-05-26 23:43:02.388: INFO @log_profile : T train: 18.084096 2021-05-26 23:43:02.388: INFO @log_profile : T read data: 0.296391 2021-05-26 23:43:02.388: INFO @log_profile : T hooks: 2.861242 2021-05-26 23:43:02.388: INFO @main_loop : Epoch 44 done 2021-05-26 23:43:02.388: INFO @main_loop : Training epoch 45 2021-05-26 23:43:21.522: INFO @log_variables: train loss nanmean: 1.786482 2021-05-26 23:43:21.522: INFO @log_variables: train age_loss mean: 1.416334 2021-05-26 23:43:21.522: INFO @log_variables: train gender_loss mean: 0.611065 2021-05-26 23:43:21.522: INFO @log_variables: train age_mae mean: 14.943539 2021-05-26 23:43:21.522: INFO @log_variables: train gender_accuracy mean: 0.665726 2021-05-26 23:43:21.522: INFO @log_variables: train artificial_age_loss mean: 0.244222 2021-05-26 23:43:21.522: INFO @log_variables: train gender_confidence/loss nanmean: 0.076577 2021-05-26 23:43:21.522: INFO @log_variables: train gender_confidence/accuracy mean: 0.631655 2021-05-26 23:43:21.522: INFO @log_variables: train age_confidence/loss mean: 0.043450 2021-05-26 23:43:21.523: INFO @log_variables: train age_confidence/accuracy mean: 0.785590 2021-05-26 23:43:21.523: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:43:21.524: INFO @metrics_hook: train age_mae: 14.944 +-0.200 (13824) 2021-05-26 23:43:21.526: INFO @metrics_hook: train gender_accuracy: 0.666 +-0.008 (13824) 2021-05-26 23:43:23.869: INFO @decay_lr : LR updated to `0.0002394196` 2021-05-26 23:43:23.870: INFO @log_profile : T train: 18.182720 2021-05-26 23:43:23.870: INFO @log_profile : T read data: 0.306871 2021-05-26 23:43:23.870: INFO @log_profile : T hooks: 2.939296 2021-05-26 23:43:23.870: INFO @main_loop : Epoch 45 done 2021-05-26 23:43:23.870: INFO @main_loop : Training epoch 46 2021-05-26 23:43:42.937: INFO @log_variables: train loss nanmean: 1.808822 2021-05-26 23:43:42.937: INFO @log_variables: train age_loss mean: 1.413488 2021-05-26 23:43:42.937: INFO @log_variables: train gender_loss mean: 0.609006 2021-05-26 23:43:42.937: INFO @log_variables: train age_mae mean: 14.918945 2021-05-26 23:43:42.937: INFO @log_variables: train gender_accuracy mean: 0.667390 2021-05-26 23:43:42.937: INFO @log_variables: train artificial_age_loss mean: 0.247333 2021-05-26 23:43:42.937: INFO @log_variables: train gender_confidence/loss nanmean: 0.076843 2021-05-26 23:43:42.937: INFO @log_variables: train gender_confidence/accuracy mean: 0.630208 2021-05-26 23:43:42.937: INFO @log_variables: train age_confidence/loss mean: 0.043931 2021-05-26 23:43:42.937: INFO @log_variables: train age_confidence/accuracy mean: 0.783493 2021-05-26 23:43:42.937: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:43:42.939: INFO @metrics_hook: train age_mae: 14.919 +-0.201 (13824) 2021-05-26 23:43:42.941: INFO @metrics_hook: train gender_accuracy: 0.667 +-0.008 (13824) 2021-05-26 23:43:45.205: INFO @decay_lr : LR updated to `0.0002382225` 2021-05-26 23:43:45.207: INFO @log_profile : T train: 18.126641 2021-05-26 23:43:45.207: INFO @log_profile : T read data: 0.293413 2021-05-26 23:43:45.207: INFO @log_profile : T hooks: 2.864688 2021-05-26 23:43:45.207: INFO @main_loop : Epoch 46 done 2021-05-26 23:43:45.207: INFO @main_loop : Training epoch 47 2021-05-26 23:44:04.258: INFO @log_variables: train loss nanmean: 1.787452 2021-05-26 23:44:04.258: INFO @log_variables: train age_loss mean: 1.404238 2021-05-26 23:44:04.258: INFO @log_variables: train gender_loss mean: 0.601346 2021-05-26 23:44:04.258: INFO @log_variables: train age_mae mean: 14.830699 2021-05-26 23:44:04.258: INFO @log_variables: train gender_accuracy mean: 0.674178 2021-05-26 23:44:04.258: INFO @log_variables: train artificial_age_loss mean: 0.245396 2021-05-26 23:44:04.258: INFO @log_variables: train gender_confidence/loss nanmean: 0.076883 2021-05-26 23:44:04.258: INFO @log_variables: train gender_confidence/accuracy mean: 0.637082 2021-05-26 23:44:04.258: INFO @log_variables: train age_confidence/loss mean: 0.044502 2021-05-26 23:44:04.259: INFO @log_variables: train age_confidence/accuracy mean: 0.776844 2021-05-26 23:44:04.259: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:44:04.260: INFO @metrics_hook: train age_mae: 14.831 +-0.202 (13802) 2021-05-26 23:44:04.261: INFO @metrics_hook: train gender_accuracy: 0.674 +-0.008 (13802) 2021-05-26 23:44:06.506: INFO @decay_lr : LR updated to `0.00023703139` 2021-05-26 23:44:06.508: INFO @log_profile : T train: 17.939347 2021-05-26 23:44:06.508: INFO @log_profile : T read data: 0.451907 2021-05-26 23:44:06.508: INFO @log_profile : T hooks: 2.854478 2021-05-26 23:44:06.508: INFO @main_loop : Epoch 47 done 2021-05-26 23:44:06.508: INFO @main_loop : Training epoch 48 2021-05-26 23:44:25.816: INFO @log_variables: train loss nanmean: 1.793283 2021-05-26 23:44:25.816: INFO @log_variables: train age_loss mean: 1.418750 2021-05-26 23:44:25.816: INFO @log_variables: train gender_loss mean: 0.598888 2021-05-26 23:44:25.816: INFO @log_variables: train age_mae mean: 14.948205 2021-05-26 23:44:25.816: INFO @log_variables: train gender_accuracy mean: 0.676866 2021-05-26 23:44:25.816: INFO @log_variables: train artificial_age_loss mean: 0.248088 2021-05-26 23:44:25.816: INFO @log_variables: train gender_confidence/loss nanmean: 0.076979 2021-05-26 23:44:25.817: INFO @log_variables: train gender_confidence/accuracy mean: 0.629847 2021-05-26 23:44:25.817: INFO @log_variables: train age_confidence/loss mean: 0.043946 2021-05-26 23:44:25.817: INFO @log_variables: train age_confidence/accuracy mean: 0.783709 2021-05-26 23:44:25.817: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:44:25.820: INFO @metrics_hook: train age_mae: 14.948 +-0.200 (13824) 2021-05-26 23:44:25.822: INFO @metrics_hook: train gender_accuracy: 0.677 +-0.008 (13824) 2021-05-26 23:44:28.079: INFO @decay_lr : LR updated to `0.00023584624` 2021-05-26 23:44:28.080: INFO @log_profile : T train: 18.343235 2021-05-26 23:44:28.080: INFO @log_profile : T read data: 0.292597 2021-05-26 23:44:28.080: INFO @log_profile : T hooks: 2.882264 2021-05-26 23:44:28.080: INFO @main_loop : Epoch 48 done 2021-05-26 23:44:28.080: INFO @main_loop : Training epoch 49 2021-05-26 23:44:46.842: INFO @log_variables: train loss nanmean: 1.772042 2021-05-26 23:44:46.842: INFO @log_variables: train age_loss mean: 1.401894 2021-05-26 23:44:46.842: INFO @log_variables: train gender_loss mean: 0.600552 2021-05-26 23:44:46.842: INFO @log_variables: train age_mae mean: 14.806520 2021-05-26 23:44:46.842: INFO @log_variables: train gender_accuracy mean: 0.675492 2021-05-26 23:44:46.842: INFO @log_variables: train artificial_age_loss mean: 0.242302 2021-05-26 23:44:46.842: INFO @log_variables: train gender_confidence/loss nanmean: 0.076921 2021-05-26 23:44:46.842: INFO @log_variables: train gender_confidence/accuracy mean: 0.640914 2021-05-26 23:44:46.842: INFO @log_variables: train age_confidence/loss mean: 0.044712 2021-05-26 23:44:46.843: INFO @log_variables: train age_confidence/accuracy mean: 0.778067 2021-05-26 23:44:46.843: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:44:46.845: INFO @metrics_hook: train age_mae: 14.807 +-0.200 (13824) 2021-05-26 23:44:46.847: INFO @metrics_hook: train gender_accuracy: 0.675 +-0.008 (13824) 2021-05-26 23:44:49.253: INFO @decay_lr : LR updated to `0.00023466701` 2021-05-26 23:44:49.254: INFO @log_profile : T train: 17.815529 2021-05-26 23:44:49.255: INFO @log_profile : T read data: 0.287774 2021-05-26 23:44:49.255: INFO @log_profile : T hooks: 3.018414 2021-05-26 23:44:49.255: INFO @main_loop : Epoch 49 done 2021-05-26 23:44:49.255: INFO @main_loop : Training epoch 50 2021-05-26 23:45:08.606: INFO @log_variables: train loss nanmean: 1.748657 2021-05-26 23:45:08.606: INFO @log_variables: train age_loss mean: 1.394298 2021-05-26 23:45:08.606: INFO @log_variables: train gender_loss mean: 0.601846 2021-05-26 23:45:08.606: INFO @log_variables: train age_mae mean: 14.734907 2021-05-26 23:45:08.606: INFO @log_variables: train gender_accuracy mean: 0.675637 2021-05-26 23:45:08.606: INFO @log_variables: train artificial_age_loss mean: 0.242087 2021-05-26 23:45:08.606: INFO @log_variables: train gender_confidence/loss nanmean: 0.077074 2021-05-26 23:45:08.606: INFO @log_variables: train gender_confidence/accuracy mean: 0.634766 2021-05-26 23:45:08.607: INFO @log_variables: train age_confidence/loss mean: 0.044044 2021-05-26 23:45:08.607: INFO @log_variables: train age_confidence/accuracy mean: 0.780961 2021-05-26 23:45:08.607: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:45:08.608: INFO @metrics_hook: train age_mae: 14.735 +-0.198 (13824) 2021-05-26 23:45:08.609: INFO @metrics_hook: train gender_accuracy: 0.676 +-0.008 (13824) 2021-05-26 23:45:10.796: INFO @decay_lr : LR updated to `0.00023349367` 2021-05-26 23:45:10.797: INFO @log_profile : T train: 18.407072 2021-05-26 23:45:10.797: INFO @log_profile : T read data: 0.298109 2021-05-26 23:45:10.797: INFO @log_profile : T hooks: 2.784475 2021-05-26 23:45:10.797: INFO @main_loop : Epoch 50 done 2021-05-26 23:45:10.797: INFO @main_loop : Training epoch 51 2021-05-26 23:45:30.049: INFO @log_variables: train loss nanmean: 1.746258 2021-05-26 23:45:30.049: INFO @log_variables: train age_loss mean: 1.382163 2021-05-26 23:45:30.050: INFO @log_variables: train gender_loss mean: 0.592341 2021-05-26 23:45:30.050: INFO @log_variables: train age_mae mean: 14.622953 2021-05-26 23:45:30.050: INFO @log_variables: train gender_accuracy mean: 0.682872 2021-05-26 23:45:30.050: INFO @log_variables: train artificial_age_loss mean: 0.245179 2021-05-26 23:45:30.050: INFO @log_variables: train gender_confidence/loss nanmean: 0.076808 2021-05-26 23:45:30.050: INFO @log_variables: train gender_confidence/accuracy mean: 0.646066 2021-05-26 23:45:30.050: INFO @log_variables: train age_confidence/loss mean: 0.044877 2021-05-26 23:45:30.050: INFO @log_variables: train age_confidence/accuracy mean: 0.773728 2021-05-26 23:45:30.050: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:45:30.051: INFO @metrics_hook: train age_mae: 14.623 +-0.200 (13802) 2021-05-26 23:45:30.052: INFO @metrics_hook: train gender_accuracy: 0.683 +-0.008 (13802) 2021-05-26 23:45:32.351: INFO @decay_lr : LR updated to `0.0002323262` 2021-05-26 23:45:32.353: INFO @log_profile : T train: 18.123766 2021-05-26 23:45:32.353: INFO @log_profile : T read data: 0.454765 2021-05-26 23:45:32.353: INFO @log_profile : T hooks: 2.923467 2021-05-26 23:45:32.353: INFO @main_loop : Epoch 51 done 2021-05-26 23:45:32.353: INFO @main_loop : Training epoch 52 2021-05-26 23:45:51.418: INFO @log_variables: train loss nanmean: 1.763683 2021-05-26 23:45:51.418: INFO @log_variables: train age_loss mean: 1.373827 2021-05-26 23:45:51.418: INFO @log_variables: train gender_loss mean: 0.587441 2021-05-26 23:45:51.419: INFO @log_variables: train age_mae mean: 14.549416 2021-05-26 23:45:51.419: INFO @log_variables: train gender_accuracy mean: 0.685402 2021-05-26 23:45:51.419: INFO @log_variables: train artificial_age_loss mean: 0.243373 2021-05-26 23:45:51.419: INFO @log_variables: train gender_confidence/loss nanmean: 0.076977 2021-05-26 23:45:51.419: INFO @log_variables: train gender_confidence/accuracy mean: 0.640697 2021-05-26 23:45:51.419: INFO @log_variables: train age_confidence/loss mean: 0.045184 2021-05-26 23:45:51.419: INFO @log_variables: train age_confidence/accuracy mean: 0.773510 2021-05-26 23:45:51.419: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:45:51.421: INFO @metrics_hook: train age_mae: 14.549 +-0.197 (13824) 2021-05-26 23:45:51.423: INFO @metrics_hook: train gender_accuracy: 0.685 +-0.008 (13824) 2021-05-26 23:45:53.600: INFO @decay_lr : LR updated to `0.00023116457` 2021-05-26 23:45:53.602: INFO @log_profile : T train: 18.098999 2021-05-26 23:45:53.602: INFO @log_profile : T read data: 0.301607 2021-05-26 23:45:53.602: INFO @log_profile : T hooks: 2.790647 2021-05-26 23:45:53.602: INFO @main_loop : Epoch 52 done 2021-05-26 23:45:53.602: INFO @main_loop : Training epoch 53 2021-05-26 23:46:12.775: INFO @log_variables: train loss nanmean: 1.747466 2021-05-26 23:46:12.775: INFO @log_variables: train age_loss mean: 1.370498 2021-05-26 23:46:12.775: INFO @log_variables: train gender_loss mean: 0.591391 2021-05-26 23:46:12.775: INFO @log_variables: train age_mae mean: 14.512966 2021-05-26 23:46:12.775: INFO @log_variables: train gender_accuracy mean: 0.680773 2021-05-26 23:46:12.775: INFO @log_variables: train artificial_age_loss mean: 0.241970 2021-05-26 23:46:12.775: INFO @log_variables: train gender_confidence/loss nanmean: 0.076543 2021-05-26 23:46:12.775: INFO @log_variables: train gender_confidence/accuracy mean: 0.638961 2021-05-26 23:46:12.775: INFO @log_variables: train age_confidence/loss mean: 0.045429 2021-05-26 23:46:12.776: INFO @log_variables: train age_confidence/accuracy mean: 0.767650 2021-05-26 23:46:12.776: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:46:12.777: INFO @metrics_hook: train age_mae: 14.513 +-0.198 (13824) 2021-05-26 23:46:12.778: INFO @metrics_hook: train gender_accuracy: 0.681 +-0.008 (13824) 2021-05-26 23:46:15.142: INFO @decay_lr : LR updated to `0.00023000874` 2021-05-26 23:46:15.143: INFO @log_profile : T train: 18.230954 2021-05-26 23:46:15.143: INFO @log_profile : T read data: 0.297357 2021-05-26 23:46:15.143: INFO @log_profile : T hooks: 2.961300 2021-05-26 23:46:15.143: INFO @main_loop : Epoch 53 done 2021-05-26 23:46:15.143: INFO @main_loop : Training epoch 54 2021-05-26 23:46:34.228: INFO @log_variables: train loss nanmean: 1.749098 2021-05-26 23:46:34.228: INFO @log_variables: train age_loss mean: 1.387527 2021-05-26 23:46:34.228: INFO @log_variables: train gender_loss mean: 0.588902 2021-05-26 23:46:34.228: INFO @log_variables: train age_mae mean: 14.688506 2021-05-26 23:46:34.229: INFO @log_variables: train gender_accuracy mean: 0.681351 2021-05-26 23:46:34.229: INFO @log_variables: train artificial_age_loss mean: 0.241145 2021-05-26 23:46:34.229: INFO @log_variables: train gender_confidence/loss nanmean: 0.076151 2021-05-26 23:46:34.229: INFO @log_variables: train gender_confidence/accuracy mean: 0.639323 2021-05-26 23:46:34.229: INFO @log_variables: train age_confidence/loss mean: 0.044406 2021-05-26 23:46:34.229: INFO @log_variables: train age_confidence/accuracy mean: 0.778791 2021-05-26 23:46:34.229: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:46:34.231: INFO @metrics_hook: train age_mae: 14.689 +-0.200 (13824) 2021-05-26 23:46:34.233: INFO @metrics_hook: train gender_accuracy: 0.681 +-0.008 (13824) 2021-05-26 23:46:37.228: INFO @decay_lr : LR updated to `0.0002288587` 2021-05-26 23:46:37.231: INFO @log_profile : T train: 18.149733 2021-05-26 23:46:37.231: INFO @log_profile : T read data: 0.286859 2021-05-26 23:46:37.231: INFO @log_profile : T hooks: 3.600056 2021-05-26 23:46:37.231: INFO @main_loop : Epoch 54 done 2021-05-26 23:46:37.231: INFO @main_loop : Training epoch 55 2021-05-26 23:46:56.652: INFO @log_variables: train loss nanmean: 1.767930 2021-05-26 23:46:56.652: INFO @log_variables: train age_loss mean: 1.377399 2021-05-26 23:46:56.652: INFO @log_variables: train gender_loss mean: 0.587141 2021-05-26 23:46:56.653: INFO @log_variables: train age_mae mean: 14.573949 2021-05-26 23:46:56.653: INFO @log_variables: train gender_accuracy mean: 0.685313 2021-05-26 23:46:56.653: INFO @log_variables: train artificial_age_loss mean: 0.240026 2021-05-26 23:46:56.653: INFO @log_variables: train gender_confidence/loss nanmean: 0.076663 2021-05-26 23:46:56.653: INFO @log_variables: train gender_confidence/accuracy mean: 0.643432 2021-05-26 23:46:56.653: INFO @log_variables: train age_confidence/loss mean: 0.045127 2021-05-26 23:46:56.653: INFO @log_variables: train age_confidence/accuracy mean: 0.772843 2021-05-26 23:46:56.653: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:46:56.657: INFO @metrics_hook: train age_mae: 14.574 +-0.200 (13801) 2021-05-26 23:46:56.660: INFO @metrics_hook: train gender_accuracy: 0.685 +-0.008 (13801) 2021-05-26 23:46:58.824: INFO @decay_lr : LR updated to `0.00022771441` 2021-05-26 23:46:58.825: INFO @log_profile : T train: 18.326635 2021-05-26 23:46:58.825: INFO @log_profile : T read data: 0.440249 2021-05-26 23:46:58.825: INFO @log_profile : T hooks: 2.774371 2021-05-26 23:46:58.825: INFO @main_loop : Epoch 55 done 2021-05-26 23:46:58.825: INFO @main_loop : Training epoch 56 2021-05-26 23:47:17.722: INFO @log_variables: train loss nanmean: 1.758945 2021-05-26 23:47:17.722: INFO @log_variables: train age_loss mean: 1.377814 2021-05-26 23:47:17.722: INFO @log_variables: train gender_loss mean: 0.584047 2021-05-26 23:47:17.722: INFO @log_variables: train age_mae mean: 14.586090 2021-05-26 23:47:17.722: INFO @log_variables: train gender_accuracy mean: 0.689959 2021-05-26 23:47:17.722: INFO @log_variables: train artificial_age_loss mean: 0.243562 2021-05-26 23:47:17.722: INFO @log_variables: train gender_confidence/loss nanmean: 0.076909 2021-05-26 23:47:17.722: INFO @log_variables: train gender_confidence/accuracy mean: 0.652850 2021-05-26 23:47:17.722: INFO @log_variables: train age_confidence/loss mean: 0.045006 2021-05-26 23:47:17.722: INFO @log_variables: train age_confidence/accuracy mean: 0.773076 2021-05-26 23:47:17.722: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:47:17.724: INFO @metrics_hook: train age_mae: 14.586 +-0.198 (13824) 2021-05-26 23:47:17.725: INFO @metrics_hook: train gender_accuracy: 0.690 +-0.008 (13824) 2021-05-26 23:47:19.896: INFO @decay_lr : LR updated to `0.00022657584` 2021-05-26 23:47:19.898: INFO @log_profile : T train: 17.959527 2021-05-26 23:47:19.898: INFO @log_profile : T read data: 0.298337 2021-05-26 23:47:19.898: INFO @log_profile : T hooks: 2.763518 2021-05-26 23:47:19.898: INFO @main_loop : Epoch 56 done 2021-05-26 23:47:19.898: INFO @main_loop : Training epoch 57 2021-05-26 23:47:38.908: INFO @log_variables: train loss nanmean: 1.733834 2021-05-26 23:47:38.908: INFO @log_variables: train age_loss mean: 1.343851 2021-05-26 23:47:38.908: INFO @log_variables: train gender_loss mean: 0.590089 2021-05-26 23:47:38.908: INFO @log_variables: train age_mae mean: 14.284320 2021-05-26 23:47:38.908: INFO @log_variables: train gender_accuracy mean: 0.678385 2021-05-26 23:47:38.908: INFO @log_variables: train artificial_age_loss mean: 0.240597 2021-05-26 23:47:38.908: INFO @log_variables: train gender_confidence/loss nanmean: 0.076320 2021-05-26 23:47:38.908: INFO @log_variables: train gender_confidence/accuracy mean: 0.637370 2021-05-26 23:47:38.908: INFO @log_variables: train age_confidence/loss mean: 0.045527 2021-05-26 23:47:38.908: INFO @log_variables: train age_confidence/accuracy mean: 0.770906 2021-05-26 23:47:38.908: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:47:38.910: INFO @metrics_hook: train age_mae: 14.284 +-0.196 (13824) 2021-05-26 23:47:38.911: INFO @metrics_hook: train gender_accuracy: 0.678 +-0.008 (13824) 2021-05-26 23:47:41.152: INFO @decay_lr : LR updated to `0.00022544296` 2021-05-26 23:47:41.153: INFO @log_profile : T train: 18.082589 2021-05-26 23:47:41.153: INFO @log_profile : T read data: 0.289320 2021-05-26 23:47:41.153: INFO @log_profile : T hooks: 2.832213 2021-05-26 23:47:41.153: INFO @main_loop : Epoch 57 done 2021-05-26 23:47:41.153: INFO @main_loop : Training epoch 58 2021-05-26 23:48:00.633: INFO @log_variables: train loss nanmean: 1.731464 2021-05-26 23:48:00.634: INFO @log_variables: train age_loss mean: 1.366901 2021-05-26 23:48:00.634: INFO @log_variables: train gender_loss mean: 0.574915 2021-05-26 23:48:00.634: INFO @log_variables: train age_mae mean: 14.481579 2021-05-26 23:48:00.634: INFO @log_variables: train gender_accuracy mean: 0.695986 2021-05-26 23:48:00.634: INFO @log_variables: train artificial_age_loss mean: 0.242940 2021-05-26 23:48:00.634: INFO @log_variables: train gender_confidence/loss nanmean: 0.076686 2021-05-26 23:48:00.634: INFO @log_variables: train gender_confidence/accuracy mean: 0.650558 2021-05-26 23:48:00.634: INFO @log_variables: train age_confidence/loss mean: 0.044968 2021-05-26 23:48:00.634: INFO @log_variables: train age_confidence/accuracy mean: 0.771700 2021-05-26 23:48:00.635: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:48:00.637: INFO @metrics_hook: train age_mae: 14.482 +-0.197 (13802) 2021-05-26 23:48:00.640: INFO @metrics_hook: train gender_accuracy: 0.696 +-0.008 (13802) 2021-05-26 23:48:02.872: INFO @decay_lr : LR updated to `0.00022431574` 2021-05-26 23:48:02.873: INFO @log_profile : T train: 18.367526 2021-05-26 23:48:02.874: INFO @log_profile : T read data: 0.435589 2021-05-26 23:48:02.874: INFO @log_profile : T hooks: 2.863547 2021-05-26 23:48:02.874: INFO @main_loop : Epoch 58 done 2021-05-26 23:48:02.874: INFO @main_loop : Training epoch 59 2021-05-26 23:48:21.884: INFO @log_variables: train loss nanmean: 1.731452 2021-05-26 23:48:21.884: INFO @log_variables: train age_loss mean: 1.360925 2021-05-26 23:48:21.884: INFO @log_variables: train gender_loss mean: 0.581779 2021-05-26 23:48:21.884: INFO @log_variables: train age_mae mean: 14.433745 2021-05-26 23:48:21.884: INFO @log_variables: train gender_accuracy mean: 0.688730 2021-05-26 23:48:21.884: INFO @log_variables: train artificial_age_loss mean: 0.236288 2021-05-26 23:48:21.884: INFO @log_variables: train gender_confidence/loss nanmean: 0.076668 2021-05-26 23:48:21.884: INFO @log_variables: train gender_confidence/accuracy mean: 0.647859 2021-05-26 23:48:21.884: INFO @log_variables: train age_confidence/loss mean: 0.045166 2021-05-26 23:48:21.884: INFO @log_variables: train age_confidence/accuracy mean: 0.769604 2021-05-26 23:48:21.884: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:48:21.886: INFO @metrics_hook: train age_mae: 14.434 +-0.198 (13824) 2021-05-26 23:48:21.887: INFO @metrics_hook: train gender_accuracy: 0.689 +-0.008 (13824) 2021-05-26 23:48:24.034: INFO @decay_lr : LR updated to `0.00022319416` 2021-05-26 23:48:24.036: INFO @log_profile : T train: 18.059814 2021-05-26 23:48:24.036: INFO @log_profile : T read data: 0.307204 2021-05-26 23:48:24.036: INFO @log_profile : T hooks: 2.741796 2021-05-26 23:48:24.036: INFO @main_loop : Epoch 59 done 2021-05-26 23:48:24.036: INFO @main_loop : Training epoch 60 2021-05-26 23:48:43.075: INFO @log_variables: train loss nanmean: 1.731110 2021-05-26 23:48:43.075: INFO @log_variables: train age_loss mean: 1.343983 2021-05-26 23:48:43.076: INFO @log_variables: train gender_loss mean: 0.574387 2021-05-26 23:48:43.076: INFO @log_variables: train age_mae mean: 14.280860 2021-05-26 23:48:43.076: INFO @log_variables: train gender_accuracy mean: 0.695385 2021-05-26 23:48:43.076: INFO @log_variables: train artificial_age_loss mean: 0.241221 2021-05-26 23:48:43.076: INFO @log_variables: train gender_confidence/loss nanmean: 0.076662 2021-05-26 23:48:43.076: INFO @log_variables: train gender_confidence/accuracy mean: 0.646918 2021-05-26 23:48:43.076: INFO @log_variables: train age_confidence/loss mean: 0.045462 2021-05-26 23:48:43.076: INFO @log_variables: train age_confidence/accuracy mean: 0.768519 2021-05-26 23:48:43.076: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:48:43.078: INFO @metrics_hook: train age_mae: 14.281 +-0.196 (13824) 2021-05-26 23:48:43.080: INFO @metrics_hook: train gender_accuracy: 0.695 +-0.008 (13824) 2021-05-26 23:48:45.244: INFO @decay_lr : LR updated to `0.00022207819` 2021-05-26 23:48:45.245: INFO @log_profile : T train: 18.075543 2021-05-26 23:48:45.245: INFO @log_profile : T read data: 0.308905 2021-05-26 23:48:45.245: INFO @log_profile : T hooks: 2.768537 2021-05-26 23:48:45.246: INFO @main_loop : Epoch 60 done 2021-05-26 23:48:45.246: INFO @main_loop : Training epoch 61 2021-05-26 23:49:04.235: INFO @log_variables: train loss nanmean: 1.717095 2021-05-26 23:49:04.235: INFO @log_variables: train age_loss mean: 1.337751 2021-05-26 23:49:04.235: INFO @log_variables: train gender_loss mean: 0.572481 2021-05-26 23:49:04.235: INFO @log_variables: train age_mae mean: 14.214075 2021-05-26 23:49:04.235: INFO @log_variables: train gender_accuracy mean: 0.698568 2021-05-26 23:49:04.235: INFO @log_variables: train artificial_age_loss mean: 0.234383 2021-05-26 23:49:04.236: INFO @log_variables: train gender_confidence/loss nanmean: 0.076600 2021-05-26 23:49:04.236: INFO @log_variables: train gender_confidence/accuracy mean: 0.649016 2021-05-26 23:49:04.236: INFO @log_variables: train age_confidence/loss mean: 0.045268 2021-05-26 23:49:04.236: INFO @log_variables: train age_confidence/accuracy mean: 0.772208 2021-05-26 23:49:04.236: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:49:04.238: INFO @metrics_hook: train age_mae: 14.214 +-0.197 (13824) 2021-05-26 23:49:04.239: INFO @metrics_hook: train gender_accuracy: 0.699 +-0.008 (13824) 2021-05-26 23:49:06.451: INFO @decay_lr : LR updated to `0.0002209678` 2021-05-26 23:49:06.453: INFO @log_profile : T train: 18.032798 2021-05-26 23:49:06.453: INFO @log_profile : T read data: 0.290950 2021-05-26 23:49:06.453: INFO @log_profile : T hooks: 2.829030 2021-05-26 23:49:06.453: INFO @main_loop : Epoch 61 done 2021-05-26 23:49:06.453: INFO @main_loop : Training epoch 62 2021-05-26 23:49:25.662: INFO @log_variables: train loss nanmean: 1.731222 2021-05-26 23:49:25.662: INFO @log_variables: train age_loss mean: 1.366265 2021-05-26 23:49:25.662: INFO @log_variables: train gender_loss mean: 0.576827 2021-05-26 23:49:25.662: INFO @log_variables: train age_mae mean: 14.475142 2021-05-26 23:49:25.663: INFO @log_variables: train gender_accuracy mean: 0.694537 2021-05-26 23:49:25.663: INFO @log_variables: train artificial_age_loss mean: 0.237530 2021-05-26 23:49:25.663: INFO @log_variables: train gender_confidence/loss nanmean: 0.076595 2021-05-26 23:49:25.663: INFO @log_variables: train gender_confidence/accuracy mean: 0.651572 2021-05-26 23:49:25.663: INFO @log_variables: train age_confidence/loss mean: 0.044764 2021-05-26 23:49:25.663: INFO @log_variables: train age_confidence/accuracy mean: 0.779670 2021-05-26 23:49:25.663: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:49:25.665: INFO @metrics_hook: train age_mae: 14.475 +-0.199 (13802) 2021-05-26 23:49:25.668: INFO @metrics_hook: train gender_accuracy: 0.695 +-0.008 (13802) 2021-05-26 23:49:27.797: INFO @decay_lr : LR updated to `0.00021986297` 2021-05-26 23:49:27.798: INFO @log_profile : T train: 18.092347 2021-05-26 23:49:27.799: INFO @log_profile : T read data: 0.448706 2021-05-26 23:49:27.799: INFO @log_profile : T hooks: 2.750669 2021-05-26 23:49:27.799: INFO @main_loop : Epoch 62 done 2021-05-26 23:49:27.799: INFO @main_loop : Training epoch 63 2021-05-26 23:49:47.153: INFO @log_variables: train loss nanmean: 1.703530 2021-05-26 23:49:47.153: INFO @log_variables: train age_loss mean: 1.325253 2021-05-26 23:49:47.153: INFO @log_variables: train gender_loss mean: 0.571117 2021-05-26 23:49:47.153: INFO @log_variables: train age_mae mean: 14.121178 2021-05-26 23:49:47.153: INFO @log_variables: train gender_accuracy mean: 0.700449 2021-05-26 23:49:47.153: INFO @log_variables: train artificial_age_loss mean: 0.234045 2021-05-26 23:49:47.153: INFO @log_variables: train gender_confidence/loss nanmean: 0.076774 2021-05-26 23:49:47.153: INFO @log_variables: train gender_confidence/accuracy mean: 0.655961 2021-05-26 23:49:47.154: INFO @log_variables: train age_confidence/loss mean: 0.046202 2021-05-26 23:49:47.154: INFO @log_variables: train age_confidence/accuracy mean: 0.765553 2021-05-26 23:49:47.154: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:49:47.155: INFO @metrics_hook: train age_mae: 14.121 +-0.196 (13824) 2021-05-26 23:49:47.157: INFO @metrics_hook: train gender_accuracy: 0.700 +-0.008 (13824) 2021-05-26 23:49:49.302: INFO @decay_lr : LR updated to `0.00021876366` 2021-05-26 23:49:49.304: INFO @log_profile : T train: 18.385761 2021-05-26 23:49:49.304: INFO @log_profile : T read data: 0.305271 2021-05-26 23:49:49.304: INFO @log_profile : T hooks: 2.761067 2021-05-26 23:49:49.304: INFO @main_loop : Epoch 63 done 2021-05-26 23:49:49.304: INFO @main_loop : Training epoch 64 2021-05-26 23:50:08.442: INFO @log_variables: train loss nanmean: 1.696841 2021-05-26 23:50:08.442: INFO @log_variables: train age_loss mean: 1.317100 2021-05-26 23:50:08.442: INFO @log_variables: train gender_loss mean: 0.567381 2021-05-26 23:50:08.443: INFO @log_variables: train age_mae mean: 14.031502 2021-05-26 23:50:08.443: INFO @log_variables: train gender_accuracy mean: 0.707610 2021-05-26 23:50:08.443: INFO @log_variables: train artificial_age_loss mean: 0.236990 2021-05-26 23:50:08.443: INFO @log_variables: train gender_confidence/loss nanmean: 0.077189 2021-05-26 23:50:08.443: INFO @log_variables: train gender_confidence/accuracy mean: 0.660301 2021-05-26 23:50:08.443: INFO @log_variables: train age_confidence/loss mean: 0.046116 2021-05-26 23:50:08.443: INFO @log_variables: train age_confidence/accuracy mean: 0.761429 2021-05-26 23:50:08.443: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:50:08.445: INFO @metrics_hook: train age_mae: 14.032 +-0.195 (13824) 2021-05-26 23:50:08.447: INFO @metrics_hook: train gender_accuracy: 0.708 +-0.008 (13824) 2021-05-26 23:50:10.636: INFO @decay_lr : LR updated to `0.00021766983` 2021-05-26 23:50:10.638: INFO @log_profile : T train: 18.165758 2021-05-26 23:50:10.638: INFO @log_profile : T read data: 0.306280 2021-05-26 23:50:10.638: INFO @log_profile : T hooks: 2.808247 2021-05-26 23:50:10.638: INFO @main_loop : Epoch 64 done 2021-05-26 23:50:10.638: INFO @main_loop : Training epoch 65 2021-05-26 23:50:29.730: INFO @log_variables: train loss nanmean: 1.692836 2021-05-26 23:50:29.730: INFO @log_variables: train age_loss mean: 1.336711 2021-05-26 23:50:29.730: INFO @log_variables: train gender_loss mean: 0.563057 2021-05-26 23:50:29.731: INFO @log_variables: train age_mae mean: 14.216406 2021-05-26 23:50:29.731: INFO @log_variables: train gender_accuracy mean: 0.704572 2021-05-26 23:50:29.731: INFO @log_variables: train artificial_age_loss mean: 0.239140 2021-05-26 23:50:29.731: INFO @log_variables: train gender_confidence/loss nanmean: 0.076549 2021-05-26 23:50:29.731: INFO @log_variables: train gender_confidence/accuracy mean: 0.653935 2021-05-26 23:50:29.731: INFO @log_variables: train age_confidence/loss mean: 0.045511 2021-05-26 23:50:29.731: INFO @log_variables: train age_confidence/accuracy mean: 0.766565 2021-05-26 23:50:29.731: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:50:29.733: INFO @metrics_hook: train age_mae: 14.216 +-0.196 (13824) 2021-05-26 23:50:29.735: INFO @metrics_hook: train gender_accuracy: 0.705 +-0.008 (13824) 2021-05-26 23:50:31.876: INFO @decay_lr : LR updated to `0.00021658148` 2021-05-26 23:50:31.877: INFO @log_profile : T train: 18.134655 2021-05-26 23:50:31.877: INFO @log_profile : T read data: 0.304962 2021-05-26 23:50:31.877: INFO @log_profile : T hooks: 2.747793 2021-05-26 23:50:31.877: INFO @main_loop : Epoch 65 done 2021-05-26 23:50:31.877: INFO @main_loop : Training epoch 66 2021-05-26 23:50:51.223: INFO @log_variables: train loss nanmean: 1.690582 2021-05-26 23:50:51.224: INFO @log_variables: train age_loss mean: 1.318468 2021-05-26 23:50:51.224: INFO @log_variables: train gender_loss mean: 0.562583 2021-05-26 23:50:51.224: INFO @log_variables: train age_mae mean: 14.066226 2021-05-26 23:50:51.224: INFO @log_variables: train gender_accuracy mean: 0.707723 2021-05-26 23:50:51.224: INFO @log_variables: train artificial_age_loss mean: 0.237974 2021-05-26 23:50:51.224: INFO @log_variables: train gender_confidence/loss nanmean: 0.076616 2021-05-26 23:50:51.224: INFO @log_variables: train gender_confidence/accuracy mean: 0.656427 2021-05-26 23:50:51.224: INFO @log_variables: train age_confidence/loss mean: 0.046267 2021-05-26 23:50:51.224: INFO @log_variables: train age_confidence/accuracy mean: 0.763440 2021-05-26 23:50:51.224: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:50:51.225: INFO @metrics_hook: train age_mae: 14.066 +-0.197 (13802) 2021-05-26 23:50:51.226: INFO @metrics_hook: train gender_accuracy: 0.708 +-0.008 (13802) 2021-05-26 23:50:53.410: INFO @decay_lr : LR updated to `0.00021549857` 2021-05-26 23:50:53.411: INFO @log_profile : T train: 18.257139 2021-05-26 23:50:53.411: INFO @log_profile : T read data: 0.452195 2021-05-26 23:50:53.411: INFO @log_profile : T hooks: 2.771484 2021-05-26 23:50:53.411: INFO @main_loop : Epoch 66 done 2021-05-26 23:50:53.411: INFO @main_loop : Training epoch 67 2021-05-26 23:51:12.534: INFO @log_variables: train loss nanmean: 1.668032 2021-05-26 23:51:12.534: INFO @log_variables: train age_loss mean: 1.306670 2021-05-26 23:51:12.534: INFO @log_variables: train gender_loss mean: 0.558509 2021-05-26 23:51:12.534: INFO @log_variables: train age_mae mean: 13.926351 2021-05-26 23:51:12.534: INFO @log_variables: train gender_accuracy mean: 0.709708 2021-05-26 23:51:12.534: INFO @log_variables: train artificial_age_loss mean: 0.232691 2021-05-26 23:51:12.534: INFO @log_variables: train gender_confidence/loss nanmean: 0.076624 2021-05-26 23:51:12.534: INFO @log_variables: train gender_confidence/accuracy mean: 0.659939 2021-05-26 23:51:12.535: INFO @log_variables: train age_confidence/loss mean: 0.046173 2021-05-26 23:51:12.535: INFO @log_variables: train age_confidence/accuracy mean: 0.762587 2021-05-26 23:51:12.535: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:51:12.536: INFO @metrics_hook: train age_mae: 13.926 +-0.195 (13824) 2021-05-26 23:51:12.538: INFO @metrics_hook: train gender_accuracy: 0.710 +-0.008 (13824) 2021-05-26 23:51:14.668: INFO @decay_lr : LR updated to `0.00021442107` 2021-05-26 23:51:14.669: INFO @log_profile : T train: 18.200149 2021-05-26 23:51:14.669: INFO @log_profile : T read data: 0.282620 2021-05-26 23:51:14.669: INFO @log_profile : T hooks: 2.723908 2021-05-26 23:51:14.669: INFO @main_loop : Epoch 67 done 2021-05-26 23:51:14.669: INFO @main_loop : Training epoch 68 2021-05-26 23:51:33.348: INFO @log_variables: train loss nanmean: 1.676593 2021-05-26 23:51:33.348: INFO @log_variables: train age_loss mean: 1.304663 2021-05-26 23:51:33.348: INFO @log_variables: train gender_loss mean: 0.557300 2021-05-26 23:51:33.348: INFO @log_variables: train age_mae mean: 13.942788 2021-05-26 23:51:33.348: INFO @log_variables: train gender_accuracy mean: 0.710172 2021-05-26 23:51:33.348: INFO @log_variables: train artificial_age_loss mean: 0.233995 2021-05-26 23:51:33.348: INFO @log_variables: train gender_confidence/loss nanmean: 0.076540 2021-05-26 23:51:33.348: INFO @log_variables: train gender_confidence/accuracy mean: 0.653596 2021-05-26 23:51:33.348: INFO @log_variables: train age_confidence/loss mean: 0.046199 2021-05-26 23:51:33.348: INFO @log_variables: train age_confidence/accuracy mean: 0.764434 2021-05-26 23:51:33.348: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:51:33.350: INFO @metrics_hook: train age_mae: 13.943 +-0.195 (13822) 2021-05-26 23:51:33.351: INFO @metrics_hook: train gender_accuracy: 0.710 +-0.008 (13822) 2021-05-26 23:51:35.485: INFO @decay_lr : LR updated to `0.00021334896` 2021-05-26 23:51:35.487: INFO @log_profile : T train: 17.721534 2021-05-26 23:51:35.487: INFO @log_profile : T read data: 0.300150 2021-05-26 23:51:35.487: INFO @log_profile : T hooks: 2.742656 2021-05-26 23:51:35.487: INFO @main_loop : Epoch 68 done 2021-05-26 23:51:35.487: INFO @main_loop : Training epoch 69 2021-05-26 23:51:54.817: INFO @log_variables: train loss nanmean: 1.674583 2021-05-26 23:51:54.817: INFO @log_variables: train age_loss mean: 1.327150 2021-05-26 23:51:54.817: INFO @log_variables: train gender_loss mean: 0.563782 2021-05-26 23:51:54.818: INFO @log_variables: train age_mae mean: 14.136188 2021-05-26 23:51:54.818: INFO @log_variables: train gender_accuracy mean: 0.706019 2021-05-26 23:51:54.818: INFO @log_variables: train artificial_age_loss mean: 0.235338 2021-05-26 23:51:54.818: INFO @log_variables: train gender_confidence/loss nanmean: 0.076609 2021-05-26 23:51:54.818: INFO @log_variables: train gender_confidence/accuracy mean: 0.651910 2021-05-26 23:51:54.818: INFO @log_variables: train age_confidence/loss mean: 0.046238 2021-05-26 23:51:54.818: INFO @log_variables: train age_confidence/accuracy mean: 0.761791 2021-05-26 23:51:54.818: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:51:54.820: INFO @metrics_hook: train age_mae: 14.136 +-0.196 (13824) 2021-05-26 23:51:54.822: INFO @metrics_hook: train gender_accuracy: 0.706 +-0.008 (13824) 2021-05-26 23:51:57.933: INFO @decay_lr : LR updated to `0.00021228222` 2021-05-26 23:51:57.935: INFO @log_profile : T train: 18.379973 2021-05-26 23:51:57.935: INFO @log_profile : T read data: 0.287498 2021-05-26 23:51:57.935: INFO @log_profile : T hooks: 3.728201 2021-05-26 23:51:57.935: INFO @main_loop : Epoch 69 done 2021-05-26 23:51:57.935: INFO @main_loop : Training epoch 70 2021-05-26 23:52:17.256: INFO @log_variables: train loss nanmean: 1.655030 2021-05-26 23:52:17.256: INFO @log_variables: train age_loss mean: 1.312938 2021-05-26 23:52:17.256: INFO @log_variables: train gender_loss mean: 0.553437 2021-05-26 23:52:17.257: INFO @log_variables: train age_mae mean: 13.994550 2021-05-26 23:52:17.257: INFO @log_variables: train gender_accuracy mean: 0.712940 2021-05-26 23:52:17.257: INFO @log_variables: train artificial_age_loss mean: 0.235695 2021-05-26 23:52:17.257: INFO @log_variables: train gender_confidence/loss nanmean: 0.076482 2021-05-26 23:52:17.257: INFO @log_variables: train gender_confidence/accuracy mean: 0.657948 2021-05-26 23:52:17.257: INFO @log_variables: train age_confidence/loss mean: 0.046257 2021-05-26 23:52:17.257: INFO @log_variables: train age_confidence/accuracy mean: 0.762136 2021-05-26 23:52:17.257: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:52:17.260: INFO @metrics_hook: train age_mae: 13.995 +-0.194 (13802) 2021-05-26 23:52:17.262: INFO @metrics_hook: train gender_accuracy: 0.713 +-0.008 (13802) 2021-05-26 23:52:19.573: INFO @decay_lr : LR updated to `0.0002112208` 2021-05-26 23:52:19.574: INFO @log_profile : T train: 18.237746 2021-05-26 23:52:19.574: INFO @log_profile : T read data: 0.440626 2021-05-26 23:52:19.574: INFO @log_profile : T hooks: 2.907501 2021-05-26 23:52:19.574: INFO @main_loop : Epoch 70 done 2021-05-26 23:52:19.575: INFO @main_loop : Training epoch 71 2021-05-26 23:52:38.555: INFO @log_variables: train loss nanmean: 1.684725 2021-05-26 23:52:38.556: INFO @log_variables: train age_loss mean: 1.320220 2021-05-26 23:52:38.556: INFO @log_variables: train gender_loss mean: 0.545789 2021-05-26 23:52:38.556: INFO @log_variables: train age_mae mean: 14.066730 2021-05-26 23:52:38.556: INFO @log_variables: train gender_accuracy mean: 0.722926 2021-05-26 23:52:38.556: INFO @log_variables: train artificial_age_loss mean: 0.237017 2021-05-26 23:52:38.556: INFO @log_variables: train gender_confidence/loss nanmean: 0.077016 2021-05-26 23:52:38.556: INFO @log_variables: train gender_confidence/accuracy mean: 0.671128 2021-05-26 23:52:38.556: INFO @log_variables: train age_confidence/loss mean: 0.046200 2021-05-26 23:52:38.556: INFO @log_variables: train age_confidence/accuracy mean: 0.761412 2021-05-26 23:52:38.556: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:52:38.558: INFO @metrics_hook: train age_mae: 14.067 +-0.196 (13823) 2021-05-26 23:52:38.560: INFO @metrics_hook: train gender_accuracy: 0.723 +-0.008 (13823) 2021-05-26 23:52:40.802: INFO @decay_lr : LR updated to `0.0002101647` 2021-05-26 23:52:40.803: INFO @log_profile : T train: 18.005515 2021-05-26 23:52:40.803: INFO @log_profile : T read data: 0.308720 2021-05-26 23:52:40.803: INFO @log_profile : T hooks: 2.862025 2021-05-26 23:52:40.803: INFO @main_loop : Epoch 71 done 2021-05-26 23:52:40.803: INFO @main_loop : Training epoch 72 2021-05-26 23:53:00.000: INFO @log_variables: train loss nanmean: 1.657559 2021-05-26 23:53:00.000: INFO @log_variables: train age_loss mean: 1.304851 2021-05-26 23:53:00.000: INFO @log_variables: train gender_loss mean: 0.552426 2021-05-26 23:53:00.001: INFO @log_variables: train age_mae mean: 13.911973 2021-05-26 23:53:00.001: INFO @log_variables: train gender_accuracy mean: 0.709925 2021-05-26 23:53:00.001: INFO @log_variables: train artificial_age_loss mean: 0.237336 2021-05-26 23:53:00.001: INFO @log_variables: train gender_confidence/loss nanmean: 0.076106 2021-05-26 23:53:00.001: INFO @log_variables: train gender_confidence/accuracy mean: 0.665654 2021-05-26 23:53:00.001: INFO @log_variables: train age_confidence/loss mean: 0.045939 2021-05-26 23:53:00.001: INFO @log_variables: train age_confidence/accuracy mean: 0.765553 2021-05-26 23:53:00.001: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:53:00.002: INFO @metrics_hook: train age_mae: 13.912 +-0.194 (13824) 2021-05-26 23:53:00.003: INFO @metrics_hook: train gender_accuracy: 0.710 +-0.008 (13824) 2021-05-26 23:53:02.270: INFO @decay_lr : LR updated to `0.00020911387` 2021-05-26 23:53:02.272: INFO @log_profile : T train: 18.254579 2021-05-26 23:53:02.272: INFO @log_profile : T read data: 0.288046 2021-05-26 23:53:02.272: INFO @log_profile : T hooks: 2.874630 2021-05-26 23:53:02.272: INFO @main_loop : Epoch 72 done 2021-05-26 23:53:02.272: INFO @main_loop : Training epoch 73 2021-05-26 23:53:20.648: INFO @log_variables: train loss nanmean: 1.665341 2021-05-26 23:53:20.648: INFO @log_variables: train age_loss mean: 1.290543 2021-05-26 23:53:20.648: INFO @log_variables: train gender_loss mean: 0.545764 2021-05-26 23:53:20.648: INFO @log_variables: train age_mae mean: 13.769793 2021-05-26 23:53:20.648: INFO @log_variables: train gender_accuracy mean: 0.722150 2021-05-26 23:53:20.648: INFO @log_variables: train artificial_age_loss mean: 0.234152 2021-05-26 23:53:20.649: INFO @log_variables: train gender_confidence/loss nanmean: 0.076932 2021-05-26 23:53:20.649: INFO @log_variables: train gender_confidence/accuracy mean: 0.658420 2021-05-26 23:53:20.649: INFO @log_variables: train age_confidence/loss mean: 0.046836 2021-05-26 23:53:20.649: INFO @log_variables: train age_confidence/accuracy mean: 0.754051 2021-05-26 23:53:20.649: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:53:20.651: INFO @metrics_hook: train age_mae: 13.770 +-0.195 (13824) 2021-05-26 23:53:20.653: INFO @metrics_hook: train gender_accuracy: 0.722 +-0.008 (13824) 2021-05-26 23:53:22.831: INFO @decay_lr : LR updated to `0.0002080683` 2021-05-26 23:53:22.832: INFO @log_profile : T train: 17.413900 2021-05-26 23:53:22.832: INFO @log_profile : T read data: 0.305556 2021-05-26 23:53:22.832: INFO @log_profile : T hooks: 2.787066 2021-05-26 23:53:22.832: INFO @main_loop : Epoch 73 done 2021-05-26 23:53:22.832: INFO @main_loop : Training epoch 74 2021-05-26 23:53:41.758: INFO @log_variables: train loss nanmean: 1.656434 2021-05-26 23:53:41.758: INFO @log_variables: train age_loss mean: 1.287100 2021-05-26 23:53:41.758: INFO @log_variables: train gender_loss mean: 0.546989 2021-05-26 23:53:41.758: INFO @log_variables: train age_mae mean: 13.751784 2021-05-26 23:53:41.758: INFO @log_variables: train gender_accuracy mean: 0.726397 2021-05-26 23:53:41.758: INFO @log_variables: train artificial_age_loss mean: 0.236081 2021-05-26 23:53:41.758: INFO @log_variables: train gender_confidence/loss nanmean: 0.077816 2021-05-26 23:53:41.758: INFO @log_variables: train gender_confidence/accuracy mean: 0.670096 2021-05-26 23:53:41.758: INFO @log_variables: train age_confidence/loss mean: 0.046703 2021-05-26 23:53:41.758: INFO @log_variables: train age_confidence/accuracy mean: 0.757047 2021-05-26 23:53:41.759: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:53:41.760: INFO @metrics_hook: train age_mae: 13.752 +-0.193 (13801) 2021-05-26 23:53:41.761: INFO @metrics_hook: train gender_accuracy: 0.726 +-0.008 (13801) 2021-05-26 23:53:43.913: INFO @decay_lr : LR updated to `0.00020702796` 2021-05-26 23:53:43.914: INFO @log_profile : T train: 17.836089 2021-05-26 23:53:43.914: INFO @log_profile : T read data: 0.441171 2021-05-26 23:53:43.914: INFO @log_profile : T hooks: 2.750428 2021-05-26 23:53:43.914: INFO @main_loop : Epoch 74 done 2021-05-26 23:53:43.915: INFO @main_loop : Training epoch 75 2021-05-26 23:54:02.857: INFO @log_variables: train loss nanmean: 1.642051 2021-05-26 23:54:02.857: INFO @log_variables: train age_loss mean: 1.281467 2021-05-26 23:54:02.857: INFO @log_variables: train gender_loss mean: 0.541459 2021-05-26 23:54:02.857: INFO @log_variables: train age_mae mean: 13.715728 2021-05-26 23:54:02.857: INFO @log_variables: train gender_accuracy mean: 0.720486 2021-05-26 23:54:02.858: INFO @log_variables: train artificial_age_loss mean: 0.232267 2021-05-26 23:54:02.858: INFO @log_variables: train gender_confidence/loss nanmean: 0.076453 2021-05-26 23:54:02.858: INFO @log_variables: train gender_confidence/accuracy mean: 0.665871 2021-05-26 23:54:02.858: INFO @log_variables: train age_confidence/loss mean: 0.047242 2021-05-26 23:54:02.858: INFO @log_variables: train age_confidence/accuracy mean: 0.749421 2021-05-26 23:54:02.858: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:54:02.860: INFO @metrics_hook: train age_mae: 13.716 +-0.194 (13824) 2021-05-26 23:54:02.862: INFO @metrics_hook: train gender_accuracy: 0.720 +-0.008 (13824) 2021-05-26 23:54:05.051: INFO @decay_lr : LR updated to `0.00020599282` 2021-05-26 23:54:05.052: INFO @log_profile : T train: 18.002357 2021-05-26 23:54:05.052: INFO @log_profile : T read data: 0.294690 2021-05-26 23:54:05.052: INFO @log_profile : T hooks: 2.787461 2021-05-26 23:54:05.052: INFO @main_loop : Epoch 75 done 2021-05-26 23:54:05.052: INFO @main_loop : Training epoch 76 2021-05-26 23:54:24.239: INFO @log_variables: train loss nanmean: 1.628033 2021-05-26 23:54:24.240: INFO @log_variables: train age_loss mean: 1.281282 2021-05-26 23:54:24.240: INFO @log_variables: train gender_loss mean: 0.541846 2021-05-26 23:54:24.240: INFO @log_variables: train age_mae mean: 13.705555 2021-05-26 23:54:24.240: INFO @log_variables: train gender_accuracy mean: 0.723669 2021-05-26 23:54:24.240: INFO @log_variables: train artificial_age_loss mean: 0.232726 2021-05-26 23:54:24.240: INFO @log_variables: train gender_confidence/loss nanmean: 0.076629 2021-05-26 23:54:24.240: INFO @log_variables: train gender_confidence/accuracy mean: 0.666088 2021-05-26 23:54:24.240: INFO @log_variables: train age_confidence/loss mean: 0.047387 2021-05-26 23:54:24.240: INFO @log_variables: train age_confidence/accuracy mean: 0.751591 2021-05-26 23:54:24.240: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:54:24.242: INFO @metrics_hook: train age_mae: 13.706 +-0.194 (13824) 2021-05-26 23:54:24.244: INFO @metrics_hook: train gender_accuracy: 0.724 +-0.008 (13824) 2021-05-26 23:54:26.364: INFO @decay_lr : LR updated to `0.00020496285` 2021-05-26 23:54:26.365: INFO @log_profile : T train: 18.247403 2021-05-26 23:54:26.365: INFO @log_profile : T read data: 0.289430 2021-05-26 23:54:26.365: INFO @log_profile : T hooks: 2.724548 2021-05-26 23:54:26.365: INFO @main_loop : Epoch 76 done 2021-05-26 23:54:26.365: INFO @main_loop : Training epoch 77 2021-05-26 23:54:45.571: INFO @log_variables: train loss nanmean: 1.629749 2021-05-26 23:54:45.571: INFO @log_variables: train age_loss mean: 1.281015 2021-05-26 23:54:45.571: INFO @log_variables: train gender_loss mean: 0.539545 2021-05-26 23:54:45.571: INFO @log_variables: train age_mae mean: 13.713151 2021-05-26 23:54:45.572: INFO @log_variables: train gender_accuracy mean: 0.727214 2021-05-26 23:54:45.572: INFO @log_variables: train artificial_age_loss mean: 0.231052 2021-05-26 23:54:45.572: INFO @log_variables: train gender_confidence/loss nanmean: 0.076987 2021-05-26 23:54:45.572: INFO @log_variables: train gender_confidence/accuracy mean: 0.669777 2021-05-26 23:54:45.572: INFO @log_variables: train age_confidence/loss mean: 0.047354 2021-05-26 23:54:45.572: INFO @log_variables: train age_confidence/accuracy mean: 0.749204 2021-05-26 23:54:45.572: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:54:45.574: INFO @metrics_hook: train age_mae: 13.713 +-0.194 (13824) 2021-05-26 23:54:45.576: INFO @metrics_hook: train gender_accuracy: 0.727 +-0.008 (13824) 2021-05-26 23:54:47.676: INFO @decay_lr : LR updated to `0.00020393803` 2021-05-26 23:54:47.677: INFO @log_profile : T train: 18.262510 2021-05-26 23:54:47.678: INFO @log_profile : T read data: 0.301095 2021-05-26 23:54:47.678: INFO @log_profile : T hooks: 2.695535 2021-05-26 23:54:47.678: INFO @main_loop : Epoch 77 done 2021-05-26 23:54:47.678: INFO @main_loop : Training epoch 78 2021-05-26 23:55:06.229: INFO @log_variables: train loss nanmean: 1.615833 2021-05-26 23:55:06.230: INFO @log_variables: train age_loss mean: 1.274623 2021-05-26 23:55:06.230: INFO @log_variables: train gender_loss mean: 0.538127 2021-05-26 23:55:06.230: INFO @log_variables: train age_mae mean: 13.631857 2021-05-26 23:55:06.230: INFO @log_variables: train gender_accuracy mean: 0.723808 2021-05-26 23:55:06.230: INFO @log_variables: train artificial_age_loss mean: 0.234395 2021-05-26 23:55:06.230: INFO @log_variables: train gender_confidence/loss nanmean: 0.076017 2021-05-26 23:55:06.230: INFO @log_variables: train gender_confidence/accuracy mean: 0.673018 2021-05-26 23:55:06.230: INFO @log_variables: train age_confidence/loss mean: 0.047716 2021-05-26 23:55:06.230: INFO @log_variables: train age_confidence/accuracy mean: 0.747283 2021-05-26 23:55:06.230: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:55:06.232: INFO @metrics_hook: train age_mae: 13.632 +-0.193 (13802) 2021-05-26 23:55:06.234: INFO @metrics_hook: train gender_accuracy: 0.724 +-0.008 (13802) 2021-05-26 23:55:08.373: INFO @decay_lr : LR updated to `0.00020291834` 2021-05-26 23:55:08.375: INFO @log_profile : T train: 17.481938 2021-05-26 23:55:08.375: INFO @log_profile : T read data: 0.428695 2021-05-26 23:55:08.375: INFO @log_profile : T hooks: 2.732694 2021-05-26 23:55:08.375: INFO @main_loop : Epoch 78 done 2021-05-26 23:55:08.375: INFO @main_loop : Training epoch 79 2021-05-26 23:55:26.903: INFO @log_variables: train loss nanmean: 1.622019 2021-05-26 23:55:26.904: INFO @log_variables: train age_loss mean: 1.266720 2021-05-26 23:55:26.904: INFO @log_variables: train gender_loss mean: 0.531376 2021-05-26 23:55:26.904: INFO @log_variables: train age_mae mean: 13.548351 2021-05-26 23:55:26.904: INFO @log_variables: train gender_accuracy mean: 0.731699 2021-05-26 23:55:26.904: INFO @log_variables: train artificial_age_loss mean: 0.233663 2021-05-26 23:55:26.904: INFO @log_variables: train gender_confidence/loss nanmean: 0.076483 2021-05-26 23:55:26.904: INFO @log_variables: train gender_confidence/accuracy mean: 0.675998 2021-05-26 23:55:26.904: INFO @log_variables: train age_confidence/loss mean: 0.047277 2021-05-26 23:55:26.904: INFO @log_variables: train age_confidence/accuracy mean: 0.754485 2021-05-26 23:55:26.904: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:55:26.905: INFO @metrics_hook: train age_mae: 13.548 +-0.191 (13824) 2021-05-26 23:55:26.906: INFO @metrics_hook: train gender_accuracy: 0.732 +-0.008 (13824) 2021-05-26 23:55:28.960: INFO @decay_lr : LR updated to `0.00020190375` 2021-05-26 23:55:28.961: INFO @log_profile : T train: 17.576294 2021-05-26 23:55:28.961: INFO @log_profile : T read data: 0.305027 2021-05-26 23:55:28.962: INFO @log_profile : T hooks: 2.651604 2021-05-26 23:55:28.962: INFO @main_loop : Epoch 79 done 2021-05-26 23:55:28.962: INFO @main_loop : Training epoch 80 2021-05-26 23:55:47.471: INFO @log_variables: train loss nanmean: 1.606467 2021-05-26 23:55:47.471: INFO @log_variables: train age_loss mean: 1.283671 2021-05-26 23:55:47.471: INFO @log_variables: train gender_loss mean: 0.535092 2021-05-26 23:55:47.471: INFO @log_variables: train age_mae mean: 13.714336 2021-05-26 23:55:47.471: INFO @log_variables: train gender_accuracy mean: 0.731337 2021-05-26 23:55:47.472: INFO @log_variables: train artificial_age_loss mean: 0.233305 2021-05-26 23:55:47.472: INFO @log_variables: train gender_confidence/loss nanmean: 0.076778 2021-05-26 23:55:47.472: INFO @log_variables: train gender_confidence/accuracy mean: 0.672381 2021-05-26 23:55:47.472: INFO @log_variables: train age_confidence/loss mean: 0.047379 2021-05-26 23:55:47.472: INFO @log_variables: train age_confidence/accuracy mean: 0.751664 2021-05-26 23:55:47.472: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:55:47.474: INFO @metrics_hook: train age_mae: 13.714 +-0.194 (13824) 2021-05-26 23:55:47.475: INFO @metrics_hook: train gender_accuracy: 0.731 +-0.008 (13824) 2021-05-26 23:55:49.598: INFO @decay_lr : LR updated to `0.00020089422` 2021-05-26 23:55:49.599: INFO @log_profile : T train: 17.548311 2021-05-26 23:55:49.599: INFO @log_profile : T read data: 0.299078 2021-05-26 23:55:49.599: INFO @log_profile : T hooks: 2.736175 2021-05-26 23:55:49.599: INFO @main_loop : Epoch 80 done 2021-05-26 23:55:49.599: INFO @main_loop : Training epoch 81 2021-05-26 23:56:08.042: INFO @log_variables: train loss nanmean: 1.632429 2021-05-26 23:56:08.043: INFO @log_variables: train age_loss mean: 1.270276 2021-05-26 23:56:08.043: INFO @log_variables: train gender_loss mean: 0.524570 2021-05-26 23:56:08.043: INFO @log_variables: train age_mae mean: 13.597238 2021-05-26 23:56:08.043: INFO @log_variables: train gender_accuracy mean: 0.739583 2021-05-26 23:56:08.043: INFO @log_variables: train artificial_age_loss mean: 0.230909 2021-05-26 23:56:08.043: INFO @log_variables: train gender_confidence/loss nanmean: 0.076994 2021-05-26 23:56:08.043: INFO @log_variables: train gender_confidence/accuracy mean: 0.676288 2021-05-26 23:56:08.043: INFO @log_variables: train age_confidence/loss mean: 0.047601 2021-05-26 23:56:08.043: INFO @log_variables: train age_confidence/accuracy mean: 0.751447 2021-05-26 23:56:08.043: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:56:08.046: INFO @metrics_hook: train age_mae: 13.597 +-0.194 (13824) 2021-05-26 23:56:08.048: INFO @metrics_hook: train gender_accuracy: 0.740 +-0.007 (13824) 2021-05-26 23:56:10.256: INFO @decay_lr : LR updated to `0.00019988975` 2021-05-26 23:56:10.257: INFO @log_profile : T train: 17.480422 2021-05-26 23:56:10.257: INFO @log_profile : T read data: 0.296599 2021-05-26 23:56:10.257: INFO @log_profile : T hooks: 2.826389 2021-05-26 23:56:10.257: INFO @main_loop : Epoch 81 done 2021-05-26 23:56:10.257: INFO @main_loop : Training epoch 82 2021-05-26 23:56:29.420: INFO @log_variables: train loss nanmean: 1.607229 2021-05-26 23:56:29.421: INFO @log_variables: train age_loss mean: 1.265946 2021-05-26 23:56:29.421: INFO @log_variables: train gender_loss mean: 0.530532 2021-05-26 23:56:29.421: INFO @log_variables: train age_mae mean: 13.548888 2021-05-26 23:56:29.421: INFO @log_variables: train gender_accuracy mean: 0.729967 2021-05-26 23:56:29.421: INFO @log_variables: train artificial_age_loss mean: 0.231116 2021-05-26 23:56:29.421: INFO @log_variables: train gender_confidence/loss nanmean: 0.076430 2021-05-26 23:56:29.421: INFO @log_variables: train gender_confidence/accuracy mean: 0.664759 2021-05-26 23:56:29.421: INFO @log_variables: train age_confidence/loss mean: 0.047540 2021-05-26 23:56:29.421: INFO @log_variables: train age_confidence/accuracy mean: 0.749964 2021-05-26 23:56:29.421: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:56:29.423: INFO @metrics_hook: train age_mae: 13.549 +-0.191 (13802) 2021-05-26 23:56:29.424: INFO @metrics_hook: train gender_accuracy: 0.730 +-0.008 (13802) 2021-05-26 23:56:31.659: INFO @decay_lr : LR updated to `0.0001988903` 2021-05-26 23:56:31.660: INFO @log_profile : T train: 18.055878 2021-05-26 23:56:31.661: INFO @log_profile : T read data: 0.461008 2021-05-26 23:56:31.661: INFO @log_profile : T hooks: 2.831852 2021-05-26 23:56:31.661: INFO @main_loop : Epoch 82 done 2021-05-26 23:56:31.661: INFO @main_loop : Training epoch 83 2021-05-26 23:56:50.845: INFO @log_variables: train loss nanmean: 1.605613 2021-05-26 23:56:50.845: INFO @log_variables: train age_loss mean: 1.276267 2021-05-26 23:56:50.845: INFO @log_variables: train gender_loss mean: 0.522389 2021-05-26 23:56:50.845: INFO @log_variables: train age_mae mean: 13.653886 2021-05-26 23:56:50.845: INFO @log_variables: train gender_accuracy mean: 0.736183 2021-05-26 23:56:50.845: INFO @log_variables: train artificial_age_loss mean: 0.229246 2021-05-26 23:56:50.845: INFO @log_variables: train gender_confidence/loss nanmean: 0.076032 2021-05-26 23:56:50.846: INFO @log_variables: train gender_confidence/accuracy mean: 0.680411 2021-05-26 23:56:50.846: INFO @log_variables: train age_confidence/loss mean: 0.047480 2021-05-26 23:56:50.846: INFO @log_variables: train age_confidence/accuracy mean: 0.748987 2021-05-26 23:56:50.846: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:56:50.848: INFO @metrics_hook: train age_mae: 13.654 +-0.194 (13824) 2021-05-26 23:56:50.851: INFO @metrics_hook: train gender_accuracy: 0.736 +-0.007 (13824) 2021-05-26 23:56:52.958: INFO @decay_lr : LR updated to `0.00019789585` 2021-05-26 23:56:52.961: INFO @log_profile : T train: 18.235931 2021-05-26 23:56:52.961: INFO @log_profile : T read data: 0.294438 2021-05-26 23:56:52.961: INFO @log_profile : T hooks: 2.717491 2021-05-26 23:56:52.962: INFO @main_loop : Epoch 83 done 2021-05-26 23:56:52.962: INFO @main_loop : Training epoch 84 2021-05-26 23:57:12.196: INFO @log_variables: train loss nanmean: 1.605638 2021-05-26 23:57:12.196: INFO @log_variables: train age_loss mean: 1.254207 2021-05-26 23:57:12.196: INFO @log_variables: train gender_loss mean: 0.528152 2021-05-26 23:57:12.196: INFO @log_variables: train age_mae mean: 13.440981 2021-05-26 23:57:12.197: INFO @log_variables: train gender_accuracy mean: 0.731916 2021-05-26 23:57:12.197: INFO @log_variables: train artificial_age_loss mean: 0.231450 2021-05-26 23:57:12.197: INFO @log_variables: train gender_confidence/loss nanmean: 0.076256 2021-05-26 23:57:12.197: INFO @log_variables: train gender_confidence/accuracy mean: 0.676071 2021-05-26 23:57:12.197: INFO @log_variables: train age_confidence/loss mean: 0.048030 2021-05-26 23:57:12.197: INFO @log_variables: train age_confidence/accuracy mean: 0.745660 2021-05-26 23:57:12.197: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:57:12.199: INFO @metrics_hook: train age_mae: 13.441 +-0.192 (13824) 2021-05-26 23:57:12.201: INFO @metrics_hook: train gender_accuracy: 0.732 +-0.008 (13824) 2021-05-26 23:57:14.327: INFO @decay_lr : LR updated to `0.00019690637` 2021-05-26 23:57:14.329: INFO @log_profile : T train: 18.271156 2021-05-26 23:57:14.329: INFO @log_profile : T read data: 0.297950 2021-05-26 23:57:14.329: INFO @log_profile : T hooks: 2.745502 2021-05-26 23:57:14.329: INFO @main_loop : Epoch 84 done 2021-05-26 23:57:14.329: INFO @main_loop : Training epoch 85 2021-05-26 23:57:33.497: INFO @log_variables: train loss nanmean: 1.620622 2021-05-26 23:57:33.497: INFO @log_variables: train age_loss mean: 1.261417 2021-05-26 23:57:33.497: INFO @log_variables: train gender_loss mean: 0.522956 2021-05-26 23:57:33.498: INFO @log_variables: train age_mae mean: 13.510589 2021-05-26 23:57:33.498: INFO @log_variables: train gender_accuracy mean: 0.734664 2021-05-26 23:57:33.498: INFO @log_variables: train artificial_age_loss mean: 0.232015 2021-05-26 23:57:33.498: INFO @log_variables: train gender_confidence/loss nanmean: 0.075724 2021-05-26 23:57:33.498: INFO @log_variables: train gender_confidence/accuracy mean: 0.675637 2021-05-26 23:57:33.498: INFO @log_variables: train age_confidence/loss mean: 0.047760 2021-05-26 23:57:33.498: INFO @log_variables: train age_confidence/accuracy mean: 0.744430 2021-05-26 23:57:33.498: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:57:33.499: INFO @metrics_hook: train age_mae: 13.511 +-0.194 (13824) 2021-05-26 23:57:33.501: INFO @metrics_hook: train gender_accuracy: 0.735 +-0.008 (13824) 2021-05-26 23:57:35.578: INFO @decay_lr : LR updated to `0.00019592184` 2021-05-26 23:57:35.579: INFO @log_profile : T train: 18.228624 2021-05-26 23:57:35.579: INFO @log_profile : T read data: 0.290619 2021-05-26 23:57:35.579: INFO @log_profile : T hooks: 2.679558 2021-05-26 23:57:35.579: INFO @main_loop : Epoch 85 done 2021-05-26 23:57:35.580: INFO @main_loop : Training epoch 86 2021-05-26 23:57:54.302: INFO @log_variables: train loss nanmean: 1.593363 2021-05-26 23:57:54.302: INFO @log_variables: train age_loss mean: 1.247753 2021-05-26 23:57:54.302: INFO @log_variables: train gender_loss mean: 0.525380 2021-05-26 23:57:54.302: INFO @log_variables: train age_mae mean: 13.382268 2021-05-26 23:57:54.302: INFO @log_variables: train gender_accuracy mean: 0.735690 2021-05-26 23:57:54.302: INFO @log_variables: train artificial_age_loss mean: 0.229877 2021-05-26 23:57:54.302: INFO @log_variables: train gender_confidence/loss nanmean: 0.076162 2021-05-26 23:57:54.302: INFO @log_variables: train gender_confidence/accuracy mean: 0.676931 2021-05-26 23:57:54.302: INFO @log_variables: train age_confidence/loss mean: 0.048002 2021-05-26 23:57:54.303: INFO @log_variables: train age_confidence/accuracy mean: 0.744892 2021-05-26 23:57:54.303: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:57:54.305: INFO @metrics_hook: train age_mae: 13.382 +-0.192 (13802) 2021-05-26 23:57:54.307: INFO @metrics_hook: train gender_accuracy: 0.736 +-0.008 (13802) 2021-05-26 23:57:56.367: INFO @decay_lr : LR updated to `0.00019494223` 2021-05-26 23:57:56.369: INFO @log_profile : T train: 17.596540 2021-05-26 23:57:56.369: INFO @log_profile : T read data: 0.465083 2021-05-26 23:57:56.369: INFO @log_profile : T hooks: 2.673684 2021-05-26 23:57:56.369: INFO @main_loop : Epoch 86 done 2021-05-26 23:57:56.369: INFO @main_loop : Training epoch 87 2021-05-26 23:58:14.880: INFO @log_variables: train loss nanmean: 1.603258 2021-05-26 23:58:14.881: INFO @log_variables: train age_loss mean: 1.264343 2021-05-26 23:58:14.881: INFO @log_variables: train gender_loss mean: 0.527765 2021-05-26 23:58:14.881: INFO @log_variables: train age_mae mean: 13.539573 2021-05-26 23:58:14.881: INFO @log_variables: train gender_accuracy mean: 0.734664 2021-05-26 23:58:14.881: INFO @log_variables: train artificial_age_loss mean: 0.233423 2021-05-26 23:58:14.881: INFO @log_variables: train gender_confidence/loss nanmean: 0.076438 2021-05-26 23:58:14.881: INFO @log_variables: train gender_confidence/accuracy mean: 0.672454 2021-05-26 23:58:14.881: INFO @log_variables: train age_confidence/loss mean: 0.047864 2021-05-26 23:58:14.881: INFO @log_variables: train age_confidence/accuracy mean: 0.743924 2021-05-26 23:58:14.881: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:58:14.883: INFO @metrics_hook: train age_mae: 13.540 +-0.191 (13824) 2021-05-26 23:58:14.885: INFO @metrics_hook: train gender_accuracy: 0.735 +-0.008 (13824) 2021-05-26 23:58:17.058: INFO @decay_lr : LR updated to `0.00019396751` 2021-05-26 23:58:17.059: INFO @log_profile : T train: 17.582266 2021-05-26 23:58:17.060: INFO @log_profile : T read data: 0.298293 2021-05-26 23:58:17.060: INFO @log_profile : T hooks: 2.756589 2021-05-26 23:58:17.060: INFO @main_loop : Epoch 87 done 2021-05-26 23:58:17.060: INFO @main_loop : Training epoch 88 2021-05-26 23:58:35.578: INFO @log_variables: train loss nanmean: 1.584070 2021-05-26 23:58:35.579: INFO @log_variables: train age_loss mean: 1.253286 2021-05-26 23:58:35.579: INFO @log_variables: train gender_loss mean: 0.519250 2021-05-26 23:58:35.579: INFO @log_variables: train age_mae mean: 13.435045 2021-05-26 23:58:35.579: INFO @log_variables: train gender_accuracy mean: 0.742839 2021-05-26 23:58:35.579: INFO @log_variables: train artificial_age_loss mean: 0.231632 2021-05-26 23:58:35.579: INFO @log_variables: train gender_confidence/loss nanmean: 0.076654 2021-05-26 23:58:35.579: INFO @log_variables: train gender_confidence/accuracy mean: 0.674479 2021-05-26 23:58:35.579: INFO @log_variables: train age_confidence/loss mean: 0.047664 2021-05-26 23:58:35.579: INFO @log_variables: train age_confidence/accuracy mean: 0.750000 2021-05-26 23:58:35.579: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:58:35.580: INFO @metrics_hook: train age_mae: 13.435 +-0.190 (13824) 2021-05-26 23:58:35.582: INFO @metrics_hook: train gender_accuracy: 0.743 +-0.007 (13824) 2021-05-26 23:58:38.823: INFO @decay_lr : LR updated to `0.00019299767` 2021-05-26 23:58:38.824: INFO @log_profile : T train: 17.573300 2021-05-26 23:58:38.824: INFO @log_profile : T read data: 0.296428 2021-05-26 23:58:38.824: INFO @log_profile : T hooks: 3.841657 2021-05-26 23:58:38.825: INFO @main_loop : Epoch 88 done 2021-05-26 23:58:38.825: INFO @main_loop : Training epoch 89 2021-05-26 23:58:57.461: INFO @log_variables: train loss nanmean: 1.605090 2021-05-26 23:58:57.461: INFO @log_variables: train age_loss mean: 1.242671 2021-05-26 23:58:57.461: INFO @log_variables: train gender_loss mean: 0.519767 2021-05-26 23:58:57.461: INFO @log_variables: train age_mae mean: 13.345688 2021-05-26 23:58:57.461: INFO @log_variables: train gender_accuracy mean: 0.737937 2021-05-26 23:58:57.461: INFO @log_variables: train artificial_age_loss mean: 0.230435 2021-05-26 23:58:57.461: INFO @log_variables: train gender_confidence/loss nanmean: 0.076072 2021-05-26 23:58:57.461: INFO @log_variables: train gender_confidence/accuracy mean: 0.673888 2021-05-26 23:58:57.461: INFO @log_variables: train age_confidence/loss mean: 0.048413 2021-05-26 23:58:57.462: INFO @log_variables: train age_confidence/accuracy mean: 0.739965 2021-05-26 23:58:57.462: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:58:57.463: INFO @metrics_hook: train age_mae: 13.346 +-0.191 (13802) 2021-05-26 23:58:57.464: INFO @metrics_hook: train gender_accuracy: 0.738 +-0.007 (13802) 2021-05-26 23:58:59.529: INFO @decay_lr : LR updated to `0.00019203269` 2021-05-26 23:58:59.531: INFO @log_profile : T train: 17.561917 2021-05-26 23:58:59.532: INFO @log_profile : T read data: 0.437938 2021-05-26 23:58:59.532: INFO @log_profile : T hooks: 2.653954 2021-05-26 23:58:59.532: INFO @main_loop : Epoch 89 done 2021-05-26 23:58:59.532: INFO @main_loop : Training epoch 90 2021-05-26 23:59:18.055: INFO @log_variables: train loss nanmean: 1.561075 2021-05-26 23:59:18.056: INFO @log_variables: train age_loss mean: 1.227311 2021-05-26 23:59:18.056: INFO @log_variables: train gender_loss mean: 0.506575 2021-05-26 23:59:18.056: INFO @log_variables: train age_mae mean: 13.203755 2021-05-26 23:59:18.056: INFO @log_variables: train gender_accuracy mean: 0.753472 2021-05-26 23:59:18.056: INFO @log_variables: train artificial_age_loss mean: 0.228684 2021-05-26 23:59:18.056: INFO @log_variables: train gender_confidence/loss nanmean: 0.076946 2021-05-26 23:59:18.056: INFO @log_variables: train gender_confidence/accuracy mean: 0.685836 2021-05-26 23:59:18.056: INFO @log_variables: train age_confidence/loss mean: 0.049019 2021-05-26 23:59:18.056: INFO @log_variables: train age_confidence/accuracy mean: 0.735460 2021-05-26 23:59:18.057: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:59:18.059: INFO @metrics_hook: train age_mae: 13.204 +-0.190 (13824) 2021-05-26 23:59:18.060: INFO @metrics_hook: train gender_accuracy: 0.753 +-0.007 (13824) 2021-05-26 23:59:20.126: INFO @decay_lr : LR updated to `0.00019107253` 2021-05-26 23:59:20.127: INFO @log_profile : T train: 17.583040 2021-05-26 23:59:20.127: INFO @log_profile : T read data: 0.300138 2021-05-26 23:59:20.127: INFO @log_profile : T hooks: 2.660236 2021-05-26 23:59:20.128: INFO @main_loop : Epoch 90 done 2021-05-26 23:59:20.128: INFO @main_loop : Training epoch 91 2021-05-26 23:59:39.183: INFO @log_variables: train loss nanmean: 1.561252 2021-05-26 23:59:39.183: INFO @log_variables: train age_loss mean: 1.251795 2021-05-26 23:59:39.183: INFO @log_variables: train gender_loss mean: 0.502054 2021-05-26 23:59:39.184: INFO @log_variables: train age_mae mean: 13.441040 2021-05-26 23:59:39.184: INFO @log_variables: train gender_accuracy mean: 0.754702 2021-05-26 23:59:39.184: INFO @log_variables: train artificial_age_loss mean: 0.230131 2021-05-26 23:59:39.184: INFO @log_variables: train gender_confidence/loss nanmean: 0.076207 2021-05-26 23:59:39.184: INFO @log_variables: train gender_confidence/accuracy mean: 0.690104 2021-05-26 23:59:39.184: INFO @log_variables: train age_confidence/loss mean: 0.047490 2021-05-26 23:59:39.184: INFO @log_variables: train age_confidence/accuracy mean: 0.748626 2021-05-26 23:59:39.184: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-26 23:59:39.188: INFO @metrics_hook: train age_mae: 13.441 +-0.192 (13824) 2021-05-26 23:59:39.191: INFO @metrics_hook: train gender_accuracy: 0.755 +-0.007 (13824) 2021-05-26 23:59:41.382: INFO @decay_lr : LR updated to `0.00019011716` 2021-05-26 23:59:41.383: INFO @log_profile : T train: 18.089762 2021-05-26 23:59:41.383: INFO @log_profile : T read data: 0.288795 2021-05-26 23:59:41.383: INFO @log_profile : T hooks: 2.821732 2021-05-26 23:59:41.383: INFO @main_loop : Epoch 91 done 2021-05-26 23:59:41.383: INFO @main_loop : Training epoch 92 2021-05-27 00:00:00.632: INFO @log_variables: train loss nanmean: 1.585571 2021-05-27 00:00:00.632: INFO @log_variables: train age_loss mean: 1.263702 2021-05-27 00:00:00.632: INFO @log_variables: train gender_loss mean: 0.517566 2021-05-27 00:00:00.633: INFO @log_variables: train age_mae mean: 13.551778 2021-05-27 00:00:00.633: INFO @log_variables: train gender_accuracy mean: 0.736907 2021-05-27 00:00:00.633: INFO @log_variables: train artificial_age_loss mean: 0.229597 2021-05-27 00:00:00.633: INFO @log_variables: train gender_confidence/loss nanmean: 0.075319 2021-05-27 00:00:00.633: INFO @log_variables: train gender_confidence/accuracy mean: 0.687572 2021-05-27 00:00:00.633: INFO @log_variables: train age_confidence/loss mean: 0.047660 2021-05-27 00:00:00.633: INFO @log_variables: train age_confidence/accuracy mean: 0.748843 2021-05-27 00:00:00.633: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:00:00.635: INFO @metrics_hook: train age_mae: 13.552 +-0.193 (13824) 2021-05-27 00:00:00.637: INFO @metrics_hook: train gender_accuracy: 0.737 +-0.007 (13824) 2021-05-27 00:00:02.922: INFO @decay_lr : LR updated to `0.00018916657` 2021-05-27 00:00:02.923: INFO @log_profile : T train: 18.282747 2021-05-27 00:00:02.924: INFO @log_profile : T read data: 0.292470 2021-05-27 00:00:02.924: INFO @log_profile : T hooks: 2.911639 2021-05-27 00:00:02.924: INFO @main_loop : Epoch 92 done 2021-05-27 00:00:02.924: INFO @main_loop : Training epoch 93 2021-05-27 00:00:22.068: INFO @log_variables: train loss nanmean: 1.574245 2021-05-27 00:00:22.068: INFO @log_variables: train age_loss mean: 1.227581 2021-05-27 00:00:22.068: INFO @log_variables: train gender_loss mean: 0.508760 2021-05-27 00:00:22.068: INFO @log_variables: train age_mae mean: 13.211009 2021-05-27 00:00:22.068: INFO @log_variables: train gender_accuracy mean: 0.748587 2021-05-27 00:00:22.068: INFO @log_variables: train artificial_age_loss mean: 0.231457 2021-05-27 00:00:22.068: INFO @log_variables: train gender_confidence/loss nanmean: 0.076044 2021-05-27 00:00:22.068: INFO @log_variables: train gender_confidence/accuracy mean: 0.687437 2021-05-27 00:00:22.068: INFO @log_variables: train age_confidence/loss mean: 0.048637 2021-05-27 00:00:22.068: INFO @log_variables: train age_confidence/accuracy mean: 0.739603 2021-05-27 00:00:22.068: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:00:22.070: INFO @metrics_hook: train age_mae: 13.211 +-0.189 (13802) 2021-05-27 00:00:22.071: INFO @metrics_hook: train gender_accuracy: 0.749 +-0.007 (13802) 2021-05-27 00:00:24.308: INFO @decay_lr : LR updated to `0.00018822074` 2021-05-27 00:00:24.309: INFO @log_profile : T train: 18.049534 2021-05-27 00:00:24.309: INFO @log_profile : T read data: 0.456364 2021-05-27 00:00:24.309: INFO @log_profile : T hooks: 2.825196 2021-05-27 00:00:24.309: INFO @main_loop : Epoch 93 done 2021-05-27 00:00:24.309: INFO @main_loop : Training epoch 94 2021-05-27 00:00:42.687: INFO @log_variables: train loss nanmean: 1.577847 2021-05-27 00:00:42.687: INFO @log_variables: train age_loss mean: 1.239991 2021-05-27 00:00:42.688: INFO @log_variables: train gender_loss mean: 0.515403 2021-05-27 00:00:42.688: INFO @log_variables: train age_mae mean: 13.320481 2021-05-27 00:00:42.688: INFO @log_variables: train gender_accuracy mean: 0.743128 2021-05-27 00:00:42.688: INFO @log_variables: train artificial_age_loss mean: 0.228672 2021-05-27 00:00:42.688: INFO @log_variables: train gender_confidence/loss nanmean: 0.076361 2021-05-27 00:00:42.688: INFO @log_variables: train gender_confidence/accuracy mean: 0.674913 2021-05-27 00:00:42.688: INFO @log_variables: train age_confidence/loss mean: 0.047584 2021-05-27 00:00:42.688: INFO @log_variables: train age_confidence/accuracy mean: 0.749349 2021-05-27 00:00:42.689: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:00:42.691: INFO @metrics_hook: train age_mae: 13.320 +-0.190 (13824) 2021-05-27 00:00:42.694: INFO @metrics_hook: train gender_accuracy: 0.743 +-0.007 (13824) 2021-05-27 00:00:44.964: INFO @decay_lr : LR updated to `0.00018727964` 2021-05-27 00:00:44.966: INFO @log_profile : T train: 17.385839 2021-05-27 00:00:44.966: INFO @log_profile : T read data: 0.322427 2021-05-27 00:00:44.966: INFO @log_profile : T hooks: 2.892892 2021-05-27 00:00:44.966: INFO @main_loop : Epoch 94 done 2021-05-27 00:00:44.966: INFO @main_loop : Training epoch 95 2021-05-27 00:01:03.461: INFO @log_variables: train loss nanmean: 1.514279 2021-05-27 00:01:03.461: INFO @log_variables: train age_loss mean: 1.205085 2021-05-27 00:01:03.461: INFO @log_variables: train gender_loss mean: 0.503273 2021-05-27 00:01:03.461: INFO @log_variables: train age_mae mean: 13.008788 2021-05-27 00:01:03.462: INFO @log_variables: train gender_accuracy mean: 0.750000 2021-05-27 00:01:03.462: INFO @log_variables: train artificial_age_loss mean: 0.227574 2021-05-27 00:01:03.462: INFO @log_variables: train gender_confidence/loss nanmean: 0.075328 2021-05-27 00:01:03.462: INFO @log_variables: train gender_confidence/accuracy mean: 0.686704 2021-05-27 00:01:03.462: INFO @log_variables: train age_confidence/loss mean: 0.049263 2021-05-27 00:01:03.462: INFO @log_variables: train age_confidence/accuracy mean: 0.731843 2021-05-27 00:01:03.462: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:01:03.464: INFO @metrics_hook: train age_mae: 13.009 +-0.190 (13824) 2021-05-27 00:01:03.465: INFO @metrics_hook: train gender_accuracy: 0.750 +-0.007 (13824) 2021-05-27 00:01:05.918: INFO @decay_lr : LR updated to `0.00018634324` 2021-05-27 00:01:05.919: INFO @log_profile : T train: 17.585811 2021-05-27 00:01:05.919: INFO @log_profile : T read data: 0.299458 2021-05-27 00:01:05.919: INFO @log_profile : T hooks: 3.015000 2021-05-27 00:01:05.919: INFO @main_loop : Epoch 95 done 2021-05-27 00:01:05.919: INFO @main_loop : Training epoch 96 2021-05-27 00:01:24.206: INFO @log_variables: train loss nanmean: 1.575214 2021-05-27 00:01:24.206: INFO @log_variables: train age_loss mean: 1.219688 2021-05-27 00:01:24.207: INFO @log_variables: train gender_loss mean: 0.512853 2021-05-27 00:01:24.207: INFO @log_variables: train age_mae mean: 13.115627 2021-05-27 00:01:24.207: INFO @log_variables: train gender_accuracy mean: 0.747179 2021-05-27 00:01:24.207: INFO @log_variables: train artificial_age_loss mean: 0.225020 2021-05-27 00:01:24.207: INFO @log_variables: train gender_confidence/loss nanmean: 0.076752 2021-05-27 00:01:24.207: INFO @log_variables: train gender_confidence/accuracy mean: 0.682798 2021-05-27 00:01:24.207: INFO @log_variables: train age_confidence/loss mean: 0.048412 2021-05-27 00:01:24.207: INFO @log_variables: train age_confidence/accuracy mean: 0.740090 2021-05-27 00:01:24.207: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:01:24.209: INFO @metrics_hook: train age_mae: 13.116 +-0.188 (13824) 2021-05-27 00:01:24.210: INFO @metrics_hook: train gender_accuracy: 0.747 +-0.007 (13824) 2021-05-27 00:01:26.557: INFO @decay_lr : LR updated to `0.00018541153` 2021-05-27 00:01:26.558: INFO @log_profile : T train: 17.394313 2021-05-27 00:01:26.558: INFO @log_profile : T read data: 0.293783 2021-05-27 00:01:26.558: INFO @log_profile : T hooks: 2.898508 2021-05-27 00:01:26.558: INFO @main_loop : Epoch 96 done 2021-05-27 00:01:26.558: INFO @main_loop : Training epoch 97 2021-05-27 00:01:45.296: INFO @log_variables: train loss nanmean: 1.558820 2021-05-27 00:01:45.296: INFO @log_variables: train age_loss mean: 1.214267 2021-05-27 00:01:45.296: INFO @log_variables: train gender_loss mean: 0.505735 2021-05-27 00:01:45.296: INFO @log_variables: train age_mae mean: 13.076993 2021-05-27 00:01:45.296: INFO @log_variables: train gender_accuracy mean: 0.750906 2021-05-27 00:01:45.296: INFO @log_variables: train artificial_age_loss mean: 0.227819 2021-05-27 00:01:45.296: INFO @log_variables: train gender_confidence/loss nanmean: 0.076092 2021-05-27 00:01:45.296: INFO @log_variables: train gender_confidence/accuracy mean: 0.687364 2021-05-27 00:01:45.296: INFO @log_variables: train age_confidence/loss mean: 0.048692 2021-05-27 00:01:45.297: INFO @log_variables: train age_confidence/accuracy mean: 0.738299 2021-05-27 00:01:45.297: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:01:45.298: INFO @metrics_hook: train age_mae: 13.077 +-0.189 (13802) 2021-05-27 00:01:45.299: INFO @metrics_hook: train gender_accuracy: 0.751 +-0.007 (13802) 2021-05-27 00:01:47.633: INFO @decay_lr : LR updated to `0.00018448447` 2021-05-27 00:01:47.636: INFO @log_profile : T train: 17.672634 2021-05-27 00:01:47.636: INFO @log_profile : T read data: 0.457890 2021-05-27 00:01:47.636: INFO @log_profile : T hooks: 2.894394 2021-05-27 00:01:47.636: INFO @main_loop : Epoch 97 done 2021-05-27 00:01:47.636: INFO @main_loop : Training epoch 98 2021-05-27 00:02:06.158: INFO @log_variables: train loss nanmean: 1.543918 2021-05-27 00:02:06.158: INFO @log_variables: train age_loss mean: 1.233098 2021-05-27 00:02:06.158: INFO @log_variables: train gender_loss mean: 0.507001 2021-05-27 00:02:06.158: INFO @log_variables: train age_mae mean: 13.247766 2021-05-27 00:02:06.159: INFO @log_variables: train gender_accuracy mean: 0.753255 2021-05-27 00:02:06.159: INFO @log_variables: train artificial_age_loss mean: 0.229247 2021-05-27 00:02:06.159: INFO @log_variables: train gender_confidence/loss nanmean: 0.076658 2021-05-27 00:02:06.159: INFO @log_variables: train gender_confidence/accuracy mean: 0.684968 2021-05-27 00:02:06.159: INFO @log_variables: train age_confidence/loss mean: 0.048415 2021-05-27 00:02:06.159: INFO @log_variables: train age_confidence/accuracy mean: 0.741826 2021-05-27 00:02:06.159: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:02:06.160: INFO @metrics_hook: train age_mae: 13.248 +-0.190 (13824) 2021-05-27 00:02:06.162: INFO @metrics_hook: train gender_accuracy: 0.753 +-0.007 (13824) 2021-05-27 00:02:08.498: INFO @decay_lr : LR updated to `0.00018356205` 2021-05-27 00:02:08.500: INFO @log_profile : T train: 17.567846 2021-05-27 00:02:08.500: INFO @log_profile : T read data: 0.354260 2021-05-27 00:02:08.500: INFO @log_profile : T hooks: 2.890657 2021-05-27 00:02:08.500: INFO @main_loop : Epoch 98 done 2021-05-27 00:02:08.500: INFO @main_loop : Training epoch 99 2021-05-27 00:02:26.990: INFO @log_variables: train loss nanmean: 1.540190 2021-05-27 00:02:26.990: INFO @log_variables: train age_loss mean: 1.206584 2021-05-27 00:02:26.990: INFO @log_variables: train gender_loss mean: 0.513261 2021-05-27 00:02:26.991: INFO @log_variables: train age_mae mean: 13.003108 2021-05-27 00:02:26.991: INFO @log_variables: train gender_accuracy mean: 0.743634 2021-05-27 00:02:26.991: INFO @log_variables: train artificial_age_loss mean: 0.229777 2021-05-27 00:02:26.991: INFO @log_variables: train gender_confidence/loss nanmean: 0.075903 2021-05-27 00:02:26.991: INFO @log_variables: train gender_confidence/accuracy mean: 0.685185 2021-05-27 00:02:26.991: INFO @log_variables: train age_confidence/loss mean: 0.049184 2021-05-27 00:02:26.991: INFO @log_variables: train age_confidence/accuracy mean: 0.735315 2021-05-27 00:02:26.991: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:02:26.992: INFO @metrics_hook: train age_mae: 13.003 +-0.188 (13824) 2021-05-27 00:02:26.993: INFO @metrics_hook: train gender_accuracy: 0.744 +-0.007 (13824) 2021-05-27 00:02:29.303: INFO @decay_lr : LR updated to `0.00018264425` 2021-05-27 00:02:29.305: INFO @log_profile : T train: 17.525590 2021-05-27 00:02:29.305: INFO @log_profile : T read data: 0.329043 2021-05-27 00:02:29.305: INFO @log_profile : T hooks: 2.897098 2021-05-27 00:02:29.305: INFO @main_loop : Epoch 99 done 2021-05-27 00:02:29.306: INFO @main_loop : Training epoch 100 2021-05-27 00:02:48.459: INFO @log_variables: train loss nanmean: 1.546601 2021-05-27 00:02:48.459: INFO @log_variables: train age_loss mean: 1.224205 2021-05-27 00:02:48.459: INFO @log_variables: train gender_loss mean: 0.498863 2021-05-27 00:02:48.459: INFO @log_variables: train age_mae mean: 13.181520 2021-05-27 00:02:48.459: INFO @log_variables: train gender_accuracy mean: 0.754774 2021-05-27 00:02:48.459: INFO @log_variables: train artificial_age_loss mean: 0.226546 2021-05-27 00:02:48.459: INFO @log_variables: train gender_confidence/loss nanmean: 0.075939 2021-05-27 00:02:48.459: INFO @log_variables: train gender_confidence/accuracy mean: 0.692853 2021-05-27 00:02:48.459: INFO @log_variables: train age_confidence/loss mean: 0.048576 2021-05-27 00:02:48.459: INFO @log_variables: train age_confidence/accuracy mean: 0.740885 2021-05-27 00:02:48.459: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:02:48.461: INFO @metrics_hook: train age_mae: 13.182 +-0.189 (13824) 2021-05-27 00:02:48.462: INFO @metrics_hook: train gender_accuracy: 0.755 +-0.007 (13824) 2021-05-27 00:02:50.929: INFO @decay_lr : LR updated to `0.00018173103` 2021-05-27 00:02:50.930: INFO @log_profile : T train: 18.195512 2021-05-27 00:02:50.930: INFO @log_profile : T read data: 0.315601 2021-05-27 00:02:50.930: INFO @log_profile : T hooks: 3.059459 2021-05-27 00:02:50.930: INFO @main_loop : Epoch 100 done 2021-05-27 00:02:50.930: INFO @main_loop : Training epoch 101 2021-05-27 00:03:09.988: INFO @log_variables: train loss nanmean: 1.544392 2021-05-27 00:03:09.989: INFO @log_variables: train age_loss mean: 1.207606 2021-05-27 00:03:09.989: INFO @log_variables: train gender_loss mean: 0.499312 2021-05-27 00:03:09.989: INFO @log_variables: train age_mae mean: 13.009459 2021-05-27 00:03:09.989: INFO @log_variables: train gender_accuracy mean: 0.755253 2021-05-27 00:03:09.989: INFO @log_variables: train artificial_age_loss mean: 0.223948 2021-05-27 00:03:09.989: INFO @log_variables: train gender_confidence/loss nanmean: 0.075908 2021-05-27 00:03:09.989: INFO @log_variables: train gender_confidence/accuracy mean: 0.693595 2021-05-27 00:03:09.990: INFO @log_variables: train age_confidence/loss mean: 0.048797 2021-05-27 00:03:09.990: INFO @log_variables: train age_confidence/accuracy mean: 0.737502 2021-05-27 00:03:09.990: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:03:09.992: INFO @metrics_hook: train age_mae: 13.009 +-0.189 (13802) 2021-05-27 00:03:09.993: INFO @metrics_hook: train gender_accuracy: 0.755 +-0.007 (13802) 2021-05-27 00:03:12.322: INFO @decay_lr : LR updated to `0.00018082238` 2021-05-27 00:03:12.323: INFO @log_profile : T train: 17.939860 2021-05-27 00:03:12.323: INFO @log_profile : T read data: 0.479771 2021-05-27 00:03:12.324: INFO @log_profile : T hooks: 2.921632 2021-05-27 00:03:12.324: INFO @main_loop : Epoch 101 done 2021-05-27 00:03:12.324: INFO @main_loop : Training epoch 102 2021-05-27 00:03:31.667: INFO @log_variables: train loss nanmean: 1.520708 2021-05-27 00:03:31.667: INFO @log_variables: train age_loss mean: 1.221842 2021-05-27 00:03:31.667: INFO @log_variables: train gender_loss mean: 0.501320 2021-05-27 00:03:31.667: INFO @log_variables: train age_mae mean: 13.167543 2021-05-27 00:03:31.667: INFO @log_variables: train gender_accuracy mean: 0.752459 2021-05-27 00:03:31.667: INFO @log_variables: train artificial_age_loss mean: 0.228091 2021-05-27 00:03:31.668: INFO @log_variables: train gender_confidence/loss nanmean: 0.076072 2021-05-27 00:03:31.668: INFO @log_variables: train gender_confidence/accuracy mean: 0.688151 2021-05-27 00:03:31.668: INFO @log_variables: train age_confidence/loss mean: 0.048931 2021-05-27 00:03:31.668: INFO @log_variables: train age_confidence/accuracy mean: 0.736762 2021-05-27 00:03:31.668: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:03:31.671: INFO @metrics_hook: train age_mae: 13.168 +-0.190 (13824) 2021-05-27 00:03:31.673: INFO @metrics_hook: train gender_accuracy: 0.752 +-0.007 (13824) 2021-05-27 00:03:34.082: INFO @decay_lr : LR updated to `0.00017991826` 2021-05-27 00:03:34.083: INFO @log_profile : T train: 18.393707 2021-05-27 00:03:34.083: INFO @log_profile : T read data: 0.310666 2021-05-27 00:03:34.083: INFO @log_profile : T hooks: 3.001779 2021-05-27 00:03:34.083: INFO @main_loop : Epoch 102 done 2021-05-27 00:03:34.083: INFO @main_loop : Training epoch 103 2021-05-27 00:03:53.309: INFO @log_variables: train loss nanmean: 1.555833 2021-05-27 00:03:53.310: INFO @log_variables: train age_loss mean: 1.215566 2021-05-27 00:03:53.310: INFO @log_variables: train gender_loss mean: 0.495808 2021-05-27 00:03:53.310: INFO @log_variables: train age_mae mean: 13.102315 2021-05-27 00:03:53.310: INFO @log_variables: train gender_accuracy mean: 0.754702 2021-05-27 00:03:53.310: INFO @log_variables: train artificial_age_loss mean: 0.228574 2021-05-27 00:03:53.310: INFO @log_variables: train gender_confidence/loss nanmean: 0.075801 2021-05-27 00:03:53.310: INFO @log_variables: train gender_confidence/accuracy mean: 0.695095 2021-05-27 00:03:53.310: INFO @log_variables: train age_confidence/loss mean: 0.049033 2021-05-27 00:03:53.310: INFO @log_variables: train age_confidence/accuracy mean: 0.739077 2021-05-27 00:03:53.310: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:03:53.312: INFO @metrics_hook: train age_mae: 13.102 +-0.190 (13824) 2021-05-27 00:03:53.314: INFO @metrics_hook: train gender_accuracy: 0.755 +-0.007 (13824) 2021-05-27 00:03:55.546: INFO @decay_lr : LR updated to `0.00017901868` 2021-05-27 00:03:55.547: INFO @log_profile : T train: 18.296441 2021-05-27 00:03:55.548: INFO @log_profile : T read data: 0.300826 2021-05-27 00:03:55.548: INFO @log_profile : T hooks: 2.816096 2021-05-27 00:03:55.548: INFO @main_loop : Epoch 103 done 2021-05-27 00:03:55.548: INFO @main_loop : Training epoch 104 2021-05-27 00:04:14.406: INFO @log_variables: train loss nanmean: 1.533181 2021-05-27 00:04:14.408: INFO @log_variables: train age_loss mean: 1.199455 2021-05-27 00:04:14.409: INFO @log_variables: train gender_loss mean: 0.497083 2021-05-27 00:04:14.410: INFO @log_variables: train age_mae mean: 12.940166 2021-05-27 00:04:14.411: INFO @log_variables: train gender_accuracy mean: 0.759549 2021-05-27 00:04:14.412: INFO @log_variables: train artificial_age_loss mean: 0.227889 2021-05-27 00:04:14.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.076487 2021-05-27 00:04:14.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.691117 2021-05-27 00:04:14.413: INFO @log_variables: train age_confidence/loss mean: 0.049136 2021-05-27 00:04:14.413: INFO @log_variables: train age_confidence/accuracy mean: 0.733073 2021-05-27 00:04:14.413: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:04:14.415: INFO @metrics_hook: train age_mae: 12.940 +-0.186 (13824) 2021-05-27 00:04:14.417: INFO @metrics_hook: train gender_accuracy: 0.760 +-0.007 (13824) 2021-05-27 00:04:16.819: INFO @decay_lr : LR updated to `0.00017812359` 2021-05-27 00:04:16.821: INFO @log_profile : T train: 17.845952 2021-05-27 00:04:16.821: INFO @log_profile : T read data: 0.308978 2021-05-27 00:04:16.821: INFO @log_profile : T hooks: 3.065095 2021-05-27 00:04:16.821: INFO @main_loop : Epoch 104 done 2021-05-27 00:04:16.821: INFO @main_loop : Training epoch 105 2021-05-27 00:04:35.630: INFO @log_variables: train loss nanmean: 1.525656 2021-05-27 00:04:35.630: INFO @log_variables: train age_loss mean: 1.202952 2021-05-27 00:04:35.631: INFO @log_variables: train gender_loss mean: 0.487734 2021-05-27 00:04:35.631: INFO @log_variables: train age_mae mean: 12.966651 2021-05-27 00:04:35.631: INFO @log_variables: train gender_accuracy mean: 0.762716 2021-05-27 00:04:35.631: INFO @log_variables: train artificial_age_loss mean: 0.227690 2021-05-27 00:04:35.631: INFO @log_variables: train gender_confidence/loss nanmean: 0.075555 2021-05-27 00:04:35.631: INFO @log_variables: train gender_confidence/accuracy mean: 0.701420 2021-05-27 00:04:35.631: INFO @log_variables: train age_confidence/loss mean: 0.049427 2021-05-27 00:04:35.631: INFO @log_variables: train age_confidence/accuracy mean: 0.733010 2021-05-27 00:04:35.631: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:04:35.633: INFO @metrics_hook: train age_mae: 12.967 +-0.188 (13802) 2021-05-27 00:04:35.634: INFO @metrics_hook: train gender_accuracy: 0.763 +-0.007 (13802) 2021-05-27 00:04:37.860: INFO @decay_lr : LR updated to `0.00017723297` 2021-05-27 00:04:37.861: INFO @log_profile : T train: 17.693131 2021-05-27 00:04:37.861: INFO @log_profile : T read data: 0.472436 2021-05-27 00:04:37.862: INFO @log_profile : T hooks: 2.821977 2021-05-27 00:04:37.862: INFO @main_loop : Epoch 105 done 2021-05-27 00:04:37.862: INFO @main_loop : Training epoch 106 2021-05-27 00:04:56.305: INFO @log_variables: train loss nanmean: 1.521057 2021-05-27 00:04:56.306: INFO @log_variables: train age_loss mean: 1.201344 2021-05-27 00:04:56.307: INFO @log_variables: train gender_loss mean: 0.492433 2021-05-27 00:04:56.307: INFO @log_variables: train age_mae mean: 12.972713 2021-05-27 00:04:56.307: INFO @log_variables: train gender_accuracy mean: 0.756293 2021-05-27 00:04:56.307: INFO @log_variables: train artificial_age_loss mean: 0.225486 2021-05-27 00:04:56.307: INFO @log_variables: train gender_confidence/loss nanmean: 0.075249 2021-05-27 00:04:56.307: INFO @log_variables: train gender_confidence/accuracy mean: 0.698423 2021-05-27 00:04:56.307: INFO @log_variables: train age_confidence/loss mean: 0.049366 2021-05-27 00:04:56.307: INFO @log_variables: train age_confidence/accuracy mean: 0.732060 2021-05-27 00:04:56.307: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:04:56.308: INFO @metrics_hook: train age_mae: 12.973 +-0.188 (13824) 2021-05-27 00:04:56.310: INFO @metrics_hook: train gender_accuracy: 0.756 +-0.007 (13824) 2021-05-27 00:04:58.515: INFO @decay_lr : LR updated to `0.0001763468` 2021-05-27 00:04:58.516: INFO @log_profile : T train: 17.527828 2021-05-27 00:04:58.516: INFO @log_profile : T read data: 0.304139 2021-05-27 00:04:58.516: INFO @log_profile : T hooks: 2.770368 2021-05-27 00:04:58.516: INFO @main_loop : Epoch 106 done 2021-05-27 00:04:58.516: INFO @main_loop : Training epoch 107 2021-05-27 00:05:16.985: INFO @log_variables: train loss nanmean: 1.512509 2021-05-27 00:05:16.986: INFO @log_variables: train age_loss mean: 1.210995 2021-05-27 00:05:16.986: INFO @log_variables: train gender_loss mean: 0.494369 2021-05-27 00:05:16.986: INFO @log_variables: train age_mae mean: 13.049651 2021-05-27 00:05:16.986: INFO @log_variables: train gender_accuracy mean: 0.758391 2021-05-27 00:05:16.986: INFO @log_variables: train artificial_age_loss mean: 0.224957 2021-05-27 00:05:16.986: INFO @log_variables: train gender_confidence/loss nanmean: 0.075464 2021-05-27 00:05:16.986: INFO @log_variables: train gender_confidence/accuracy mean: 0.691551 2021-05-27 00:05:16.987: INFO @log_variables: train age_confidence/loss mean: 0.048920 2021-05-27 00:05:16.987: INFO @log_variables: train age_confidence/accuracy mean: 0.736907 2021-05-27 00:05:16.987: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:05:16.989: INFO @metrics_hook: train age_mae: 13.050 +-0.189 (13824) 2021-05-27 00:05:16.991: INFO @metrics_hook: train gender_accuracy: 0.758 +-0.007 (13824) 2021-05-27 00:05:19.348: INFO @decay_lr : LR updated to `0.00017546507` 2021-05-27 00:05:19.349: INFO @log_profile : T train: 17.495440 2021-05-27 00:05:19.349: INFO @log_profile : T read data: 0.339637 2021-05-27 00:05:19.349: INFO @log_profile : T hooks: 2.942803 2021-05-27 00:05:19.349: INFO @main_loop : Epoch 107 done 2021-05-27 00:05:19.349: INFO @main_loop : Training epoch 108 2021-05-27 00:05:37.959: INFO @log_variables: train loss nanmean: 1.542132 2021-05-27 00:05:37.959: INFO @log_variables: train age_loss mean: 1.199818 2021-05-27 00:05:37.959: INFO @log_variables: train gender_loss mean: 0.489932 2021-05-27 00:05:37.959: INFO @log_variables: train age_mae mean: 12.928286 2021-05-27 00:05:37.959: INFO @log_variables: train gender_accuracy mean: 0.763600 2021-05-27 00:05:37.960: INFO @log_variables: train artificial_age_loss mean: 0.224637 2021-05-27 00:05:37.960: INFO @log_variables: train gender_confidence/loss nanmean: 0.076211 2021-05-27 00:05:37.960: INFO @log_variables: train gender_confidence/accuracy mean: 0.691985 2021-05-27 00:05:37.960: INFO @log_variables: train age_confidence/loss mean: 0.048963 2021-05-27 00:05:37.960: INFO @log_variables: train age_confidence/accuracy mean: 0.735677 2021-05-27 00:05:37.960: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:05:37.962: INFO @metrics_hook: train age_mae: 12.928 +-0.188 (13824) 2021-05-27 00:05:37.964: INFO @metrics_hook: train gender_accuracy: 0.764 +-0.007 (13824) 2021-05-27 00:05:40.291: INFO @decay_lr : LR updated to `0.00017458775` 2021-05-27 00:05:40.293: INFO @log_profile : T train: 17.643192 2021-05-27 00:05:40.293: INFO @log_profile : T read data: 0.321417 2021-05-27 00:05:40.293: INFO @log_profile : T hooks: 2.922507 2021-05-27 00:05:40.293: INFO @main_loop : Epoch 108 done 2021-05-27 00:05:40.293: INFO @main_loop : Training epoch 109 2021-05-27 00:05:58.867: INFO @log_variables: train loss nanmean: 1.530890 2021-05-27 00:05:58.868: INFO @log_variables: train age_loss mean: 1.186215 2021-05-27 00:05:58.868: INFO @log_variables: train gender_loss mean: 0.488764 2021-05-27 00:05:58.868: INFO @log_variables: train age_mae mean: 12.836452 2021-05-27 00:05:58.868: INFO @log_variables: train gender_accuracy mean: 0.756974 2021-05-27 00:05:58.868: INFO @log_variables: train artificial_age_loss mean: 0.226376 2021-05-27 00:05:58.868: INFO @log_variables: train gender_confidence/loss nanmean: 0.074771 2021-05-27 00:05:58.868: INFO @log_variables: train gender_confidence/accuracy mean: 0.697486 2021-05-27 00:05:58.868: INFO @log_variables: train age_confidence/loss mean: 0.049810 2021-05-27 00:05:58.868: INFO @log_variables: train age_confidence/accuracy mean: 0.728063 2021-05-27 00:05:58.869: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:05:58.871: INFO @metrics_hook: train age_mae: 12.836 +-0.185 (13801) 2021-05-27 00:05:58.873: INFO @metrics_hook: train gender_accuracy: 0.757 +-0.007 (13801) 2021-05-27 00:06:01.223: INFO @decay_lr : LR updated to `0.00017371481` 2021-05-27 00:06:01.224: INFO @log_profile : T train: 17.400926 2021-05-27 00:06:01.224: INFO @log_profile : T read data: 0.508021 2021-05-27 00:06:01.224: INFO @log_profile : T hooks: 2.968045 2021-05-27 00:06:01.224: INFO @main_loop : Epoch 109 done 2021-05-27 00:06:01.224: INFO @main_loop : Training epoch 110 2021-05-27 00:06:19.780: INFO @log_variables: train loss nanmean: 1.514785 2021-05-27 00:06:19.781: INFO @log_variables: train age_loss mean: 1.205011 2021-05-27 00:06:19.781: INFO @log_variables: train gender_loss mean: 0.486562 2021-05-27 00:06:19.781: INFO @log_variables: train age_mae mean: 12.989839 2021-05-27 00:06:19.781: INFO @log_variables: train gender_accuracy mean: 0.765408 2021-05-27 00:06:19.781: INFO @log_variables: train artificial_age_loss mean: 0.225684 2021-05-27 00:06:19.781: INFO @log_variables: train gender_confidence/loss nanmean: 0.075015 2021-05-27 00:06:19.781: INFO @log_variables: train gender_confidence/accuracy mean: 0.694010 2021-05-27 00:06:19.782: INFO @log_variables: train age_confidence/loss mean: 0.048952 2021-05-27 00:06:19.782: INFO @log_variables: train age_confidence/accuracy mean: 0.736834 2021-05-27 00:06:19.782: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:06:19.783: INFO @metrics_hook: train age_mae: 12.990 +-0.187 (13824) 2021-05-27 00:06:19.785: INFO @metrics_hook: train gender_accuracy: 0.765 +-0.007 (13824) 2021-05-27 00:06:22.204: INFO @decay_lr : LR updated to `0.00017284624` 2021-05-27 00:06:22.205: INFO @log_profile : T train: 17.605161 2021-05-27 00:06:22.205: INFO @log_profile : T read data: 0.300704 2021-05-27 00:06:22.205: INFO @log_profile : T hooks: 3.020829 2021-05-27 00:06:22.205: INFO @main_loop : Epoch 110 done 2021-05-27 00:06:22.205: INFO @main_loop : Training epoch 111 2021-05-27 00:06:40.807: INFO @log_variables: train loss nanmean: 1.519529 2021-05-27 00:06:40.807: INFO @log_variables: train age_loss mean: 1.197397 2021-05-27 00:06:40.807: INFO @log_variables: train gender_loss mean: 0.486458 2021-05-27 00:06:40.807: INFO @log_variables: train age_mae mean: 12.925920 2021-05-27 00:06:40.808: INFO @log_variables: train gender_accuracy mean: 0.764468 2021-05-27 00:06:40.808: INFO @log_variables: train artificial_age_loss mean: 0.228844 2021-05-27 00:06:40.808: INFO @log_variables: train gender_confidence/loss nanmean: 0.075750 2021-05-27 00:06:40.808: INFO @log_variables: train gender_confidence/accuracy mean: 0.698495 2021-05-27 00:06:40.808: INFO @log_variables: train age_confidence/loss mean: 0.048900 2021-05-27 00:06:40.808: INFO @log_variables: train age_confidence/accuracy mean: 0.735605 2021-05-27 00:06:40.808: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:06:40.810: INFO @metrics_hook: train age_mae: 12.926 +-0.187 (13824) 2021-05-27 00:06:40.812: INFO @metrics_hook: train gender_accuracy: 0.764 +-0.007 (13824) 2021-05-27 00:06:44.648: INFO @decay_lr : LR updated to `0.000171982` 2021-05-27 00:06:44.649: INFO @log_profile : T train: 17.620138 2021-05-27 00:06:44.649: INFO @log_profile : T read data: 0.319288 2021-05-27 00:06:44.649: INFO @log_profile : T hooks: 4.448811 2021-05-27 00:06:44.649: INFO @main_loop : Epoch 111 done 2021-05-27 00:06:44.649: INFO @main_loop : Training epoch 112 2021-05-27 00:07:02.903: INFO @log_variables: train loss nanmean: 1.520845 2021-05-27 00:07:02.903: INFO @log_variables: train age_loss mean: 1.193927 2021-05-27 00:07:02.903: INFO @log_variables: train gender_loss mean: 0.485351 2021-05-27 00:07:02.903: INFO @log_variables: train age_mae mean: 12.900985 2021-05-27 00:07:02.903: INFO @log_variables: train gender_accuracy mean: 0.762949 2021-05-27 00:07:02.903: INFO @log_variables: train artificial_age_loss mean: 0.226985 2021-05-27 00:07:02.903: INFO @log_variables: train gender_confidence/loss nanmean: 0.075384 2021-05-27 00:07:02.903: INFO @log_variables: train gender_confidence/accuracy mean: 0.703053 2021-05-27 00:07:02.903: INFO @log_variables: train age_confidence/loss mean: 0.049798 2021-05-27 00:07:02.903: INFO @log_variables: train age_confidence/accuracy mean: 0.724537 2021-05-27 00:07:02.903: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:07:02.905: INFO @metrics_hook: train age_mae: 12.901 +-0.189 (13824) 2021-05-27 00:07:02.908: INFO @metrics_hook: train gender_accuracy: 0.763 +-0.007 (13824) 2021-05-27 00:07:05.190: INFO @decay_lr : LR updated to `0.00017112208` 2021-05-27 00:07:05.191: INFO @log_profile : T train: 17.280506 2021-05-27 00:07:05.191: INFO @log_profile : T read data: 0.299180 2021-05-27 00:07:05.191: INFO @log_profile : T hooks: 2.909220 2021-05-27 00:07:05.191: INFO @main_loop : Epoch 112 done 2021-05-27 00:07:05.191: INFO @main_loop : Training epoch 113 2021-05-27 00:07:23.909: INFO @log_variables: train loss nanmean: 1.522663 2021-05-27 00:07:23.909: INFO @log_variables: train age_loss mean: 1.193593 2021-05-27 00:07:23.909: INFO @log_variables: train gender_loss mean: 0.479772 2021-05-27 00:07:23.909: INFO @log_variables: train age_mae mean: 12.898595 2021-05-27 00:07:23.909: INFO @log_variables: train gender_accuracy mean: 0.769454 2021-05-27 00:07:23.910: INFO @log_variables: train artificial_age_loss mean: 0.225414 2021-05-27 00:07:23.910: INFO @log_variables: train gender_confidence/loss nanmean: 0.075509 2021-05-27 00:07:23.910: INFO @log_variables: train gender_confidence/accuracy mean: 0.700623 2021-05-27 00:07:23.910: INFO @log_variables: train age_confidence/loss mean: 0.049307 2021-05-27 00:07:23.910: INFO @log_variables: train age_confidence/accuracy mean: 0.732285 2021-05-27 00:07:23.910: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:07:23.912: INFO @metrics_hook: train age_mae: 12.899 +-0.188 (13802) 2021-05-27 00:07:23.914: INFO @metrics_hook: train gender_accuracy: 0.769 +-0.007 (13802) 2021-05-27 00:07:26.156: INFO @decay_lr : LR updated to `0.00017026647` 2021-05-27 00:07:26.158: INFO @log_profile : T train: 17.582039 2021-05-27 00:07:26.158: INFO @log_profile : T read data: 0.477946 2021-05-27 00:07:26.158: INFO @log_profile : T hooks: 2.853589 2021-05-27 00:07:26.158: INFO @main_loop : Epoch 113 done 2021-05-27 00:07:26.158: INFO @main_loop : Training epoch 114 2021-05-27 00:07:44.720: INFO @log_variables: train loss nanmean: 1.516868 2021-05-27 00:07:44.720: INFO @log_variables: train age_loss mean: 1.192289 2021-05-27 00:07:44.720: INFO @log_variables: train gender_loss mean: 0.481981 2021-05-27 00:07:44.720: INFO @log_variables: train age_mae mean: 12.888159 2021-05-27 00:07:44.721: INFO @log_variables: train gender_accuracy mean: 0.763744 2021-05-27 00:07:44.721: INFO @log_variables: train artificial_age_loss mean: 0.225232 2021-05-27 00:07:44.721: INFO @log_variables: train gender_confidence/loss nanmean: 0.074980 2021-05-27 00:07:44.721: INFO @log_variables: train gender_confidence/accuracy mean: 0.695168 2021-05-27 00:07:44.721: INFO @log_variables: train age_confidence/loss mean: 0.049116 2021-05-27 00:07:44.721: INFO @log_variables: train age_confidence/accuracy mean: 0.732205 2021-05-27 00:07:44.721: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:07:44.723: INFO @metrics_hook: train age_mae: 12.888 +-0.187 (13824) 2021-05-27 00:07:44.725: INFO @metrics_hook: train gender_accuracy: 0.764 +-0.007 (13824) 2021-05-27 00:07:46.993: INFO @decay_lr : LR updated to `0.00016941514` 2021-05-27 00:07:46.995: INFO @log_profile : T train: 17.599749 2021-05-27 00:07:46.995: INFO @log_profile : T read data: 0.303353 2021-05-27 00:07:46.995: INFO @log_profile : T hooks: 2.879899 2021-05-27 00:07:46.995: INFO @main_loop : Epoch 114 done 2021-05-27 00:07:46.995: INFO @main_loop : Training epoch 115 2021-05-27 00:08:05.511: INFO @log_variables: train loss nanmean: 1.487503 2021-05-27 00:08:05.511: INFO @log_variables: train age_loss mean: 1.189111 2021-05-27 00:08:05.511: INFO @log_variables: train gender_loss mean: 0.473387 2021-05-27 00:08:05.511: INFO @log_variables: train age_mae mean: 12.848523 2021-05-27 00:08:05.511: INFO @log_variables: train gender_accuracy mean: 0.769097 2021-05-27 00:08:05.511: INFO @log_variables: train artificial_age_loss mean: 0.227842 2021-05-27 00:08:05.511: INFO @log_variables: train gender_confidence/loss nanmean: 0.074977 2021-05-27 00:08:05.511: INFO @log_variables: train gender_confidence/accuracy mean: 0.702402 2021-05-27 00:08:05.511: INFO @log_variables: train age_confidence/loss mean: 0.049094 2021-05-27 00:08:05.512: INFO @log_variables: train age_confidence/accuracy mean: 0.737269 2021-05-27 00:08:05.512: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:08:05.513: INFO @metrics_hook: train age_mae: 12.849 +-0.187 (13824) 2021-05-27 00:08:05.515: INFO @metrics_hook: train gender_accuracy: 0.769 +-0.007 (13824) 2021-05-27 00:08:07.738: INFO @decay_lr : LR updated to `0.00016856806` 2021-05-27 00:08:07.741: INFO @log_profile : T train: 17.569218 2021-05-27 00:08:07.741: INFO @log_profile : T read data: 0.296746 2021-05-27 00:08:07.741: INFO @log_profile : T hooks: 2.827698 2021-05-27 00:08:07.741: INFO @main_loop : Epoch 115 done 2021-05-27 00:08:07.741: INFO @main_loop : Training epoch 116 2021-05-27 00:08:27.150: INFO @log_variables: train loss nanmean: 1.485815 2021-05-27 00:08:27.150: INFO @log_variables: train age_loss mean: 1.156982 2021-05-27 00:08:27.151: INFO @log_variables: train gender_loss mean: 0.484659 2021-05-27 00:08:27.151: INFO @log_variables: train age_mae mean: 12.536581 2021-05-27 00:08:27.151: INFO @log_variables: train gender_accuracy mean: 0.761919 2021-05-27 00:08:27.151: INFO @log_variables: train artificial_age_loss mean: 0.226084 2021-05-27 00:08:27.151: INFO @log_variables: train gender_confidence/loss nanmean: 0.075097 2021-05-27 00:08:27.151: INFO @log_variables: train gender_confidence/accuracy mean: 0.696783 2021-05-27 00:08:27.151: INFO @log_variables: train age_confidence/loss mean: 0.049505 2021-05-27 00:08:27.151: INFO @log_variables: train age_confidence/accuracy mean: 0.733299 2021-05-27 00:08:27.151: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:08:27.153: INFO @metrics_hook: train age_mae: 12.537 +-0.182 (13802) 2021-05-27 00:08:27.155: INFO @metrics_hook: train gender_accuracy: 0.762 +-0.007 (13802) 2021-05-27 00:08:29.542: INFO @decay_lr : LR updated to `0.00016772521` 2021-05-27 00:08:29.614: INFO @log_profile : T train: 18.327527 2021-05-27 00:08:29.614: INFO @log_profile : T read data: 0.427352 2021-05-27 00:08:29.614: INFO @log_profile : T hooks: 3.065434 2021-05-27 00:08:29.614: INFO @main_loop : Epoch 116 done 2021-05-27 00:08:29.614: INFO @main_loop : Training epoch 117 2021-05-27 00:08:48.763: INFO @log_variables: train loss nanmean: 1.476028 2021-05-27 00:08:48.763: INFO @log_variables: train age_loss mean: 1.164968 2021-05-27 00:08:48.764: INFO @log_variables: train gender_loss mean: 0.481410 2021-05-27 00:08:48.764: INFO @log_variables: train age_mae mean: 12.623588 2021-05-27 00:08:48.764: INFO @log_variables: train gender_accuracy mean: 0.764178 2021-05-27 00:08:48.764: INFO @log_variables: train artificial_age_loss mean: 0.222717 2021-05-27 00:08:48.764: INFO @log_variables: train gender_confidence/loss nanmean: 0.075059 2021-05-27 00:08:48.764: INFO @log_variables: train gender_confidence/accuracy mean: 0.693576 2021-05-27 00:08:48.764: INFO @log_variables: train age_confidence/loss mean: 0.050062 2021-05-27 00:08:48.764: INFO @log_variables: train age_confidence/accuracy mean: 0.724899 2021-05-27 00:08:48.764: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:08:48.767: INFO @metrics_hook: train age_mae: 12.624 +-0.184 (13824) 2021-05-27 00:08:48.769: INFO @metrics_hook: train gender_accuracy: 0.764 +-0.007 (13824) 2021-05-27 00:08:51.183: INFO @decay_lr : LR updated to `0.00016688659` 2021-05-27 00:08:51.185: INFO @log_profile : T train: 18.174061 2021-05-27 00:08:51.185: INFO @log_profile : T read data: 0.309082 2021-05-27 00:08:51.185: INFO @log_profile : T hooks: 3.033432 2021-05-27 00:08:51.185: INFO @main_loop : Epoch 117 done 2021-05-27 00:08:51.185: INFO @main_loop : Training epoch 118 2021-05-27 00:09:10.417: INFO @log_variables: train loss nanmean: 1.514771 2021-05-27 00:09:10.417: INFO @log_variables: train age_loss mean: 1.164640 2021-05-27 00:09:10.417: INFO @log_variables: train gender_loss mean: 0.479351 2021-05-27 00:09:10.417: INFO @log_variables: train age_mae mean: 12.622516 2021-05-27 00:09:10.418: INFO @log_variables: train gender_accuracy mean: 0.767289 2021-05-27 00:09:10.418: INFO @log_variables: train artificial_age_loss mean: 0.227349 2021-05-27 00:09:10.418: INFO @log_variables: train gender_confidence/loss nanmean: 0.074917 2021-05-27 00:09:10.418: INFO @log_variables: train gender_confidence/accuracy mean: 0.697555 2021-05-27 00:09:10.418: INFO @log_variables: train age_confidence/loss mean: 0.049947 2021-05-27 00:09:10.418: INFO @log_variables: train age_confidence/accuracy mean: 0.726490 2021-05-27 00:09:10.418: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:09:10.419: INFO @metrics_hook: train age_mae: 12.623 +-0.185 (13824) 2021-05-27 00:09:10.421: INFO @metrics_hook: train gender_accuracy: 0.767 +-0.007 (13824) 2021-05-27 00:09:12.671: INFO @decay_lr : LR updated to `0.00016605215` 2021-05-27 00:09:12.673: INFO @log_profile : T train: 18.282382 2021-05-27 00:09:12.673: INFO @log_profile : T read data: 0.294185 2021-05-27 00:09:12.673: INFO @log_profile : T hooks: 2.858983 2021-05-27 00:09:12.673: INFO @main_loop : Epoch 118 done 2021-05-27 00:09:12.673: INFO @main_loop : Training epoch 119 2021-05-27 00:09:31.900: INFO @log_variables: train loss nanmean: 1.503499 2021-05-27 00:09:31.900: INFO @log_variables: train age_loss mean: 1.186529 2021-05-27 00:09:31.900: INFO @log_variables: train gender_loss mean: 0.480519 2021-05-27 00:09:31.900: INFO @log_variables: train age_mae mean: 12.823765 2021-05-27 00:09:31.900: INFO @log_variables: train gender_accuracy mean: 0.766421 2021-05-27 00:09:31.900: INFO @log_variables: train artificial_age_loss mean: 0.225017 2021-05-27 00:09:31.901: INFO @log_variables: train gender_confidence/loss nanmean: 0.075210 2021-05-27 00:09:31.901: INFO @log_variables: train gender_confidence/accuracy mean: 0.699291 2021-05-27 00:09:31.901: INFO @log_variables: train age_confidence/loss mean: 0.049745 2021-05-27 00:09:31.901: INFO @log_variables: train age_confidence/accuracy mean: 0.728950 2021-05-27 00:09:31.901: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:09:31.902: INFO @metrics_hook: train age_mae: 12.824 +-0.187 (13824) 2021-05-27 00:09:31.904: INFO @metrics_hook: train gender_accuracy: 0.766 +-0.007 (13824) 2021-05-27 00:09:34.161: INFO @decay_lr : LR updated to `0.00016522189` 2021-05-27 00:09:34.163: INFO @log_profile : T train: 18.255278 2021-05-27 00:09:34.163: INFO @log_profile : T read data: 0.301466 2021-05-27 00:09:34.163: INFO @log_profile : T hooks: 2.880685 2021-05-27 00:09:34.163: INFO @main_loop : Epoch 119 done 2021-05-27 00:09:34.163: INFO @main_loop : Training epoch 120 2021-05-27 00:09:53.477: INFO @log_variables: train loss nanmean: 1.473790 2021-05-27 00:09:53.477: INFO @log_variables: train age_loss mean: 1.174615 2021-05-27 00:09:53.477: INFO @log_variables: train gender_loss mean: 0.476060 2021-05-27 00:09:53.477: INFO @log_variables: train age_mae mean: 12.716468 2021-05-27 00:09:53.477: INFO @log_variables: train gender_accuracy mean: 0.771482 2021-05-27 00:09:53.477: INFO @log_variables: train artificial_age_loss mean: 0.223540 2021-05-27 00:09:53.477: INFO @log_variables: train gender_confidence/loss nanmean: 0.075570 2021-05-27 00:09:53.477: INFO @log_variables: train gender_confidence/accuracy mean: 0.698377 2021-05-27 00:09:53.477: INFO @log_variables: train age_confidence/loss mean: 0.049773 2021-05-27 00:09:53.477: INFO @log_variables: train age_confidence/accuracy mean: 0.728445 2021-05-27 00:09:53.478: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:09:53.479: INFO @metrics_hook: train age_mae: 12.716 +-0.187 (13802) 2021-05-27 00:09:53.480: INFO @metrics_hook: train gender_accuracy: 0.771 +-0.007 (13802) 2021-05-27 00:09:55.673: INFO @decay_lr : LR updated to `0.00016439578` 2021-05-27 00:09:55.675: INFO @log_profile : T train: 18.223147 2021-05-27 00:09:55.675: INFO @log_profile : T read data: 0.435799 2021-05-27 00:09:55.675: INFO @log_profile : T hooks: 2.800011 2021-05-27 00:09:55.675: INFO @main_loop : Epoch 120 done 2021-05-27 00:09:55.675: INFO @main_loop : Training epoch 121 2021-05-27 00:10:14.714: INFO @log_variables: train loss nanmean: 1.472615 2021-05-27 00:10:14.714: INFO @log_variables: train age_loss mean: 1.146315 2021-05-27 00:10:14.714: INFO @log_variables: train gender_loss mean: 0.467052 2021-05-27 00:10:14.714: INFO @log_variables: train age_mae mean: 12.464748 2021-05-27 00:10:14.714: INFO @log_variables: train gender_accuracy mean: 0.775825 2021-05-27 00:10:14.715: INFO @log_variables: train artificial_age_loss mean: 0.226698 2021-05-27 00:10:14.715: INFO @log_variables: train gender_confidence/loss nanmean: 0.075257 2021-05-27 00:10:14.715: INFO @log_variables: train gender_confidence/accuracy mean: 0.703197 2021-05-27 00:10:14.715: INFO @log_variables: train age_confidence/loss mean: 0.049955 2021-05-27 00:10:14.715: INFO @log_variables: train age_confidence/accuracy mean: 0.729528 2021-05-27 00:10:14.715: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:10:14.716: INFO @metrics_hook: train age_mae: 12.465 +-0.182 (13824) 2021-05-27 00:10:14.718: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13824) 2021-05-27 00:10:16.935: INFO @decay_lr : LR updated to `0.0001635738` 2021-05-27 00:10:16.937: INFO @log_profile : T train: 18.094300 2021-05-27 00:10:16.937: INFO @log_profile : T read data: 0.305562 2021-05-27 00:10:16.937: INFO @log_profile : T hooks: 2.807444 2021-05-27 00:10:16.937: INFO @main_loop : Epoch 121 done 2021-05-27 00:10:16.937: INFO @main_loop : Training epoch 122 2021-05-27 00:10:36.308: INFO @log_variables: train loss nanmean: 1.484563 2021-05-27 00:10:36.308: INFO @log_variables: train age_loss mean: 1.170036 2021-05-27 00:10:36.308: INFO @log_variables: train gender_loss mean: 0.481030 2021-05-27 00:10:36.308: INFO @log_variables: train age_mae mean: 12.687018 2021-05-27 00:10:36.309: INFO @log_variables: train gender_accuracy mean: 0.765697 2021-05-27 00:10:36.309: INFO @log_variables: train artificial_age_loss mean: 0.222013 2021-05-27 00:10:36.309: INFO @log_variables: train gender_confidence/loss nanmean: 0.074612 2021-05-27 00:10:36.309: INFO @log_variables: train gender_confidence/accuracy mean: 0.699797 2021-05-27 00:10:36.309: INFO @log_variables: train age_confidence/loss mean: 0.050354 2021-05-27 00:10:36.309: INFO @log_variables: train age_confidence/accuracy mean: 0.725405 2021-05-27 00:10:36.309: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:10:36.312: INFO @metrics_hook: train age_mae: 12.687 +-0.187 (13824) 2021-05-27 00:10:36.315: INFO @metrics_hook: train gender_accuracy: 0.766 +-0.007 (13824) 2021-05-27 00:10:38.683: INFO @decay_lr : LR updated to `0.00016275592` 2021-05-27 00:10:38.685: INFO @log_profile : T train: 18.386440 2021-05-27 00:10:38.685: INFO @log_profile : T read data: 0.303208 2021-05-27 00:10:38.685: INFO @log_profile : T hooks: 3.004781 2021-05-27 00:10:38.685: INFO @main_loop : Epoch 122 done 2021-05-27 00:10:38.685: INFO @main_loop : Training epoch 123 2021-05-27 00:10:57.901: INFO @log_variables: train loss nanmean: 1.492781 2021-05-27 00:10:57.901: INFO @log_variables: train age_loss mean: 1.175853 2021-05-27 00:10:57.901: INFO @log_variables: train gender_loss mean: 0.476257 2021-05-27 00:10:57.901: INFO @log_variables: train age_mae mean: 12.724496 2021-05-27 00:10:57.902: INFO @log_variables: train gender_accuracy mean: 0.768157 2021-05-27 00:10:57.902: INFO @log_variables: train artificial_age_loss mean: 0.221797 2021-05-27 00:10:57.902: INFO @log_variables: train gender_confidence/loss nanmean: 0.074293 2021-05-27 00:10:57.902: INFO @log_variables: train gender_confidence/accuracy mean: 0.700955 2021-05-27 00:10:57.902: INFO @log_variables: train age_confidence/loss mean: 0.049729 2021-05-27 00:10:57.902: INFO @log_variables: train age_confidence/accuracy mean: 0.730035 2021-05-27 00:10:57.902: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:10:57.904: INFO @metrics_hook: train age_mae: 12.724 +-0.186 (13824) 2021-05-27 00:10:57.906: INFO @metrics_hook: train gender_accuracy: 0.768 +-0.007 (13824) 2021-05-27 00:11:00.200: INFO @decay_lr : LR updated to `0.00016194214` 2021-05-27 00:11:00.201: INFO @log_profile : T train: 18.231300 2021-05-27 00:11:00.201: INFO @log_profile : T read data: 0.307085 2021-05-27 00:11:00.201: INFO @log_profile : T hooks: 2.923480 2021-05-27 00:11:00.201: INFO @main_loop : Epoch 123 done 2021-05-27 00:11:00.201: INFO @main_loop : Training epoch 124 2021-05-27 00:11:19.601: INFO @log_variables: train loss nanmean: 1.490806 2021-05-27 00:11:19.601: INFO @log_variables: train age_loss mean: 1.173348 2021-05-27 00:11:19.602: INFO @log_variables: train gender_loss mean: 0.475833 2021-05-27 00:11:19.602: INFO @log_variables: train age_mae mean: 12.728317 2021-05-27 00:11:19.602: INFO @log_variables: train gender_accuracy mean: 0.770396 2021-05-27 00:11:19.602: INFO @log_variables: train artificial_age_loss mean: 0.224334 2021-05-27 00:11:19.602: INFO @log_variables: train gender_confidence/loss nanmean: 0.075452 2021-05-27 00:11:19.602: INFO @log_variables: train gender_confidence/accuracy mean: 0.696276 2021-05-27 00:11:19.602: INFO @log_variables: train age_confidence/loss mean: 0.050435 2021-05-27 00:11:19.602: INFO @log_variables: train age_confidence/accuracy mean: 0.721779 2021-05-27 00:11:19.602: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:11:19.604: INFO @metrics_hook: train age_mae: 12.728 +-0.188 (13802) 2021-05-27 00:11:19.605: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13802) 2021-05-27 00:11:21.924: INFO @decay_lr : LR updated to `0.00016113243` 2021-05-27 00:11:21.925: INFO @log_profile : T train: 18.293112 2021-05-27 00:11:21.925: INFO @log_profile : T read data: 0.452563 2021-05-27 00:11:21.925: INFO @log_profile : T hooks: 2.924358 2021-05-27 00:11:21.925: INFO @main_loop : Epoch 124 done 2021-05-27 00:11:21.925: INFO @main_loop : Training epoch 125 2021-05-27 00:11:41.342: INFO @log_variables: train loss nanmean: 1.485297 2021-05-27 00:11:41.342: INFO @log_variables: train age_loss mean: 1.158557 2021-05-27 00:11:41.342: INFO @log_variables: train gender_loss mean: 0.473389 2021-05-27 00:11:41.342: INFO @log_variables: train age_mae mean: 12.573108 2021-05-27 00:11:41.342: INFO @log_variables: train gender_accuracy mean: 0.772497 2021-05-27 00:11:41.343: INFO @log_variables: train artificial_age_loss mean: 0.225140 2021-05-27 00:11:41.343: INFO @log_variables: train gender_confidence/loss nanmean: 0.074933 2021-05-27 00:11:41.343: INFO @log_variables: train gender_confidence/accuracy mean: 0.705584 2021-05-27 00:11:41.343: INFO @log_variables: train age_confidence/loss mean: 0.050010 2021-05-27 00:11:41.343: INFO @log_variables: train age_confidence/accuracy mean: 0.727214 2021-05-27 00:11:41.343: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:11:41.345: INFO @metrics_hook: train age_mae: 12.573 +-0.184 (13824) 2021-05-27 00:11:41.347: INFO @metrics_hook: train gender_accuracy: 0.772 +-0.007 (13824) 2021-05-27 00:11:43.639: INFO @decay_lr : LR updated to `0.00016032676` 2021-05-27 00:11:43.640: INFO @log_profile : T train: 18.447956 2021-05-27 00:11:43.640: INFO @log_profile : T read data: 0.298826 2021-05-27 00:11:43.640: INFO @log_profile : T hooks: 2.912332 2021-05-27 00:11:43.640: INFO @main_loop : Epoch 125 done 2021-05-27 00:11:43.640: INFO @main_loop : Training epoch 126 2021-05-27 00:12:02.927: INFO @log_variables: train loss nanmean: 1.484692 2021-05-27 00:12:02.927: INFO @log_variables: train age_loss mean: 1.155180 2021-05-27 00:12:02.927: INFO @log_variables: train gender_loss mean: 0.474243 2021-05-27 00:12:02.928: INFO @log_variables: train age_mae mean: 12.545177 2021-05-27 00:12:02.928: INFO @log_variables: train gender_accuracy mean: 0.770255 2021-05-27 00:12:02.928: INFO @log_variables: train artificial_age_loss mean: 0.221461 2021-05-27 00:12:02.928: INFO @log_variables: train gender_confidence/loss nanmean: 0.075073 2021-05-27 00:12:02.928: INFO @log_variables: train gender_confidence/accuracy mean: 0.701172 2021-05-27 00:12:02.928: INFO @log_variables: train age_confidence/loss mean: 0.050365 2021-05-27 00:12:02.928: INFO @log_variables: train age_confidence/accuracy mean: 0.726273 2021-05-27 00:12:02.928: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:12:02.931: INFO @metrics_hook: train age_mae: 12.545 +-0.186 (13824) 2021-05-27 00:12:02.933: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13824) 2021-05-27 00:12:05.321: INFO @decay_lr : LR updated to `0.00015952512` 2021-05-27 00:12:05.323: INFO @log_profile : T train: 18.310021 2021-05-27 00:12:05.323: INFO @log_profile : T read data: 0.303557 2021-05-27 00:12:05.323: INFO @log_profile : T hooks: 3.014701 2021-05-27 00:12:05.323: INFO @main_loop : Epoch 126 done 2021-05-27 00:12:05.323: INFO @main_loop : Training epoch 127 2021-05-27 00:12:24.622: INFO @log_variables: train loss nanmean: 1.451830 2021-05-27 00:12:24.622: INFO @log_variables: train age_loss mean: 1.132562 2021-05-27 00:12:24.622: INFO @log_variables: train gender_loss mean: 0.464979 2021-05-27 00:12:24.622: INFO @log_variables: train age_mae mean: 12.355776 2021-05-27 00:12:24.622: INFO @log_variables: train gender_accuracy mean: 0.775752 2021-05-27 00:12:24.622: INFO @log_variables: train artificial_age_loss mean: 0.220460 2021-05-27 00:12:24.622: INFO @log_variables: train gender_confidence/loss nanmean: 0.074510 2021-05-27 00:12:24.623: INFO @log_variables: train gender_confidence/accuracy mean: 0.704933 2021-05-27 00:12:24.623: INFO @log_variables: train age_confidence/loss mean: 0.050981 2021-05-27 00:12:24.623: INFO @log_variables: train age_confidence/accuracy mean: 0.721282 2021-05-27 00:12:24.623: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:12:24.625: INFO @metrics_hook: train age_mae: 12.356 +-0.182 (13824) 2021-05-27 00:12:24.627: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13824) 2021-05-27 00:12:26.876: INFO @decay_lr : LR updated to `0.0001587275` 2021-05-27 00:12:26.878: INFO @log_profile : T train: 18.327762 2021-05-27 00:12:26.878: INFO @log_profile : T read data: 0.299281 2021-05-27 00:12:26.878: INFO @log_profile : T hooks: 2.873778 2021-05-27 00:12:26.878: INFO @main_loop : Epoch 127 done 2021-05-27 00:12:26.878: INFO @main_loop : Training epoch 128 2021-05-27 00:12:46.056: INFO @log_variables: train loss nanmean: 1.456226 2021-05-27 00:12:46.056: INFO @log_variables: train age_loss mean: 1.155997 2021-05-27 00:12:46.057: INFO @log_variables: train gender_loss mean: 0.463882 2021-05-27 00:12:46.057: INFO @log_variables: train age_mae mean: 12.535630 2021-05-27 00:12:46.057: INFO @log_variables: train gender_accuracy mean: 0.776916 2021-05-27 00:12:46.057: INFO @log_variables: train artificial_age_loss mean: 0.223358 2021-05-27 00:12:46.057: INFO @log_variables: train gender_confidence/loss nanmean: 0.075062 2021-05-27 00:12:46.057: INFO @log_variables: train gender_confidence/accuracy mean: 0.700840 2021-05-27 00:12:46.057: INFO @log_variables: train age_confidence/loss mean: 0.050230 2021-05-27 00:12:46.057: INFO @log_variables: train age_confidence/accuracy mean: 0.726054 2021-05-27 00:12:46.057: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:12:46.058: INFO @metrics_hook: train age_mae: 12.536 +-0.183 (13802) 2021-05-27 00:12:46.059: INFO @metrics_hook: train gender_accuracy: 0.777 +-0.007 (13802) 2021-05-27 00:12:48.338: INFO @decay_lr : LR updated to `0.00015793387` 2021-05-27 00:12:48.339: INFO @log_profile : T train: 18.024861 2021-05-27 00:12:48.339: INFO @log_profile : T read data: 0.420326 2021-05-27 00:12:48.339: INFO @log_profile : T hooks: 2.962935 2021-05-27 00:12:48.339: INFO @main_loop : Epoch 128 done 2021-05-27 00:12:48.339: INFO @main_loop : Training epoch 129 2021-05-27 00:13:07.664: INFO @log_variables: train loss nanmean: 1.454406 2021-05-27 00:13:07.665: INFO @log_variables: train age_loss mean: 1.139949 2021-05-27 00:13:07.665: INFO @log_variables: train gender_loss mean: 0.467382 2021-05-27 00:13:07.665: INFO @log_variables: train age_mae mean: 12.386867 2021-05-27 00:13:07.665: INFO @log_variables: train gender_accuracy mean: 0.775230 2021-05-27 00:13:07.665: INFO @log_variables: train artificial_age_loss mean: 0.224770 2021-05-27 00:13:07.665: INFO @log_variables: train gender_confidence/loss nanmean: 0.074557 2021-05-27 00:13:07.665: INFO @log_variables: train gender_confidence/accuracy mean: 0.702597 2021-05-27 00:13:07.665: INFO @log_variables: train age_confidence/loss mean: 0.050476 2021-05-27 00:13:07.665: INFO @log_variables: train age_confidence/accuracy mean: 0.723070 2021-05-27 00:13:07.665: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:13:07.667: INFO @metrics_hook: train age_mae: 12.387 +-0.180 (13823) 2021-05-27 00:13:07.668: INFO @metrics_hook: train gender_accuracy: 0.775 +-0.007 (13823) 2021-05-27 00:13:10.015: INFO @decay_lr : LR updated to `0.0001571442` 2021-05-27 00:13:10.017: INFO @log_profile : T train: 18.364261 2021-05-27 00:13:10.017: INFO @log_profile : T read data: 0.304250 2021-05-27 00:13:10.017: INFO @log_profile : T hooks: 2.954894 2021-05-27 00:13:10.017: INFO @main_loop : Epoch 129 done 2021-05-27 00:13:10.017: INFO @main_loop : Training epoch 130 2021-05-27 00:13:29.267: INFO @log_variables: train loss nanmean: 1.453619 2021-05-27 00:13:29.267: INFO @log_variables: train age_loss mean: 1.149390 2021-05-27 00:13:29.267: INFO @log_variables: train gender_loss mean: 0.466630 2021-05-27 00:13:29.267: INFO @log_variables: train age_mae mean: 12.488770 2021-05-27 00:13:29.267: INFO @log_variables: train gender_accuracy mean: 0.773799 2021-05-27 00:13:29.267: INFO @log_variables: train artificial_age_loss mean: 0.225289 2021-05-27 00:13:29.267: INFO @log_variables: train gender_confidence/loss nanmean: 0.074431 2021-05-27 00:13:29.267: INFO @log_variables: train gender_confidence/accuracy mean: 0.703342 2021-05-27 00:13:29.267: INFO @log_variables: train age_confidence/loss mean: 0.050501 2021-05-27 00:13:29.267: INFO @log_variables: train age_confidence/accuracy mean: 0.726780 2021-05-27 00:13:29.267: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:13:29.269: INFO @metrics_hook: train age_mae: 12.489 +-0.184 (13824) 2021-05-27 00:13:29.272: INFO @metrics_hook: train gender_accuracy: 0.774 +-0.007 (13824) 2021-05-27 00:13:31.433: INFO @decay_lr : LR updated to `0.00015635848` 2021-05-27 00:13:31.434: INFO @log_profile : T train: 18.268090 2021-05-27 00:13:31.435: INFO @log_profile : T read data: 0.307300 2021-05-27 00:13:31.435: INFO @log_profile : T hooks: 2.788998 2021-05-27 00:13:31.435: INFO @main_loop : Epoch 130 done 2021-05-27 00:13:31.435: INFO @main_loop : Training epoch 131 2021-05-27 00:13:50.703: INFO @log_variables: train loss nanmean: 1.435806 2021-05-27 00:13:50.703: INFO @log_variables: train age_loss mean: 1.126289 2021-05-27 00:13:50.703: INFO @log_variables: train gender_loss mean: 0.465444 2021-05-27 00:13:50.703: INFO @log_variables: train age_mae mean: 12.268761 2021-05-27 00:13:50.703: INFO @log_variables: train gender_accuracy mean: 0.776042 2021-05-27 00:13:50.703: INFO @log_variables: train artificial_age_loss mean: 0.223980 2021-05-27 00:13:50.703: INFO @log_variables: train gender_confidence/loss nanmean: 0.074801 2021-05-27 00:13:50.703: INFO @log_variables: train gender_confidence/accuracy mean: 0.710576 2021-05-27 00:13:50.704: INFO @log_variables: train age_confidence/loss mean: 0.051324 2021-05-27 00:13:50.704: INFO @log_variables: train age_confidence/accuracy mean: 0.721282 2021-05-27 00:13:50.704: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:13:50.706: INFO @metrics_hook: train age_mae: 12.269 +-0.182 (13824) 2021-05-27 00:13:50.708: INFO @metrics_hook: train gender_accuracy: 0.776 +-0.007 (13824) 2021-05-27 00:13:53.107: INFO @decay_lr : LR updated to `0.0001555767` 2021-05-27 00:13:53.108: INFO @log_profile : T train: 18.255244 2021-05-27 00:13:53.108: INFO @log_profile : T read data: 0.331534 2021-05-27 00:13:53.108: INFO @log_profile : T hooks: 3.033374 2021-05-27 00:13:53.108: INFO @main_loop : Epoch 131 done 2021-05-27 00:13:53.108: INFO @main_loop : Training epoch 132 2021-05-27 00:14:12.367: INFO @log_variables: train loss nanmean: 1.461691 2021-05-27 00:14:12.367: INFO @log_variables: train age_loss mean: 1.138937 2021-05-27 00:14:12.367: INFO @log_variables: train gender_loss mean: 0.475295 2021-05-27 00:14:12.367: INFO @log_variables: train age_mae mean: 12.398022 2021-05-27 00:14:12.367: INFO @log_variables: train gender_accuracy mean: 0.769888 2021-05-27 00:14:12.367: INFO @log_variables: train artificial_age_loss mean: 0.222445 2021-05-27 00:14:12.367: INFO @log_variables: train gender_confidence/loss nanmean: 0.074983 2021-05-27 00:14:12.367: INFO @log_variables: train gender_confidence/accuracy mean: 0.703594 2021-05-27 00:14:12.367: INFO @log_variables: train age_confidence/loss mean: 0.050647 2021-05-27 00:14:12.367: INFO @log_variables: train age_confidence/accuracy mean: 0.725185 2021-05-27 00:14:12.367: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:14:12.369: INFO @metrics_hook: train age_mae: 12.398 +-0.183 (13802) 2021-05-27 00:14:12.370: INFO @metrics_hook: train gender_accuracy: 0.770 +-0.007 (13802) 2021-05-27 00:14:14.553: INFO @decay_lr : LR updated to `0.0001547988` 2021-05-27 00:14:14.555: INFO @log_profile : T train: 18.178854 2021-05-27 00:14:14.555: INFO @log_profile : T read data: 0.433858 2021-05-27 00:14:14.555: INFO @log_profile : T hooks: 2.780849 2021-05-27 00:14:14.555: INFO @main_loop : Epoch 132 done 2021-05-27 00:14:14.555: INFO @main_loop : Training epoch 133 2021-05-27 00:14:33.681: INFO @log_variables: train loss nanmean: 1.456286 2021-05-27 00:14:33.682: INFO @log_variables: train age_loss mean: 1.148952 2021-05-27 00:14:33.682: INFO @log_variables: train gender_loss mean: 0.463008 2021-05-27 00:14:33.682: INFO @log_variables: train age_mae mean: 12.494762 2021-05-27 00:14:33.682: INFO @log_variables: train gender_accuracy mean: 0.780744 2021-05-27 00:14:33.682: INFO @log_variables: train artificial_age_loss mean: 0.223363 2021-05-27 00:14:33.682: INFO @log_variables: train gender_confidence/loss nanmean: 0.074813 2021-05-27 00:14:33.682: INFO @log_variables: train gender_confidence/accuracy mean: 0.707393 2021-05-27 00:14:33.683: INFO @log_variables: train age_confidence/loss mean: 0.050775 2021-05-27 00:14:33.683: INFO @log_variables: train age_confidence/accuracy mean: 0.721426 2021-05-27 00:14:33.683: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:14:33.686: INFO @metrics_hook: train age_mae: 12.495 +-0.185 (13824) 2021-05-27 00:14:33.689: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13824) 2021-05-27 00:14:35.912: INFO @decay_lr : LR updated to `0.00015402482` 2021-05-27 00:14:35.913: INFO @log_profile : T train: 18.165987 2021-05-27 00:14:35.913: INFO @log_profile : T read data: 0.296869 2021-05-27 00:14:35.913: INFO @log_profile : T hooks: 2.843595 2021-05-27 00:14:35.913: INFO @main_loop : Epoch 133 done 2021-05-27 00:14:35.913: INFO @main_loop : Training epoch 134 2021-05-27 00:14:54.858: INFO @log_variables: train loss nanmean: 1.456165 2021-05-27 00:14:54.858: INFO @log_variables: train age_loss mean: 1.144750 2021-05-27 00:14:54.858: INFO @log_variables: train gender_loss mean: 0.451923 2021-05-27 00:14:54.858: INFO @log_variables: train age_mae mean: 12.421782 2021-05-27 00:14:54.858: INFO @log_variables: train gender_accuracy mean: 0.784505 2021-05-27 00:14:54.858: INFO @log_variables: train artificial_age_loss mean: 0.222142 2021-05-27 00:14:54.859: INFO @log_variables: train gender_confidence/loss nanmean: 0.074468 2021-05-27 00:14:54.859: INFO @log_variables: train gender_confidence/accuracy mean: 0.706380 2021-05-27 00:14:54.859: INFO @log_variables: train age_confidence/loss mean: 0.050328 2021-05-27 00:14:54.859: INFO @log_variables: train age_confidence/accuracy mean: 0.726201 2021-05-27 00:14:54.859: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:14:54.862: INFO @metrics_hook: train age_mae: 12.422 +-0.182 (13824) 2021-05-27 00:14:54.864: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13824) 2021-05-27 00:14:57.171: INFO @decay_lr : LR updated to `0.00015325469` 2021-05-27 00:14:57.172: INFO @log_profile : T train: 17.976348 2021-05-27 00:14:57.172: INFO @log_profile : T read data: 0.300548 2021-05-27 00:14:57.172: INFO @log_profile : T hooks: 2.928448 2021-05-27 00:14:57.172: INFO @main_loop : Epoch 134 done 2021-05-27 00:14:57.172: INFO @main_loop : Training epoch 135 2021-05-27 00:15:16.571: INFO @log_variables: train loss nanmean: 1.454218 2021-05-27 00:15:16.571: INFO @log_variables: train age_loss mean: 1.119008 2021-05-27 00:15:16.571: INFO @log_variables: train gender_loss mean: 0.465464 2021-05-27 00:15:16.571: INFO @log_variables: train age_mae mean: 12.231755 2021-05-27 00:15:16.571: INFO @log_variables: train gender_accuracy mean: 0.777199 2021-05-27 00:15:16.571: INFO @log_variables: train artificial_age_loss mean: 0.222315 2021-05-27 00:15:16.571: INFO @log_variables: train gender_confidence/loss nanmean: 0.075319 2021-05-27 00:15:16.571: INFO @log_variables: train gender_confidence/accuracy mean: 0.699219 2021-05-27 00:15:16.572: INFO @log_variables: train age_confidence/loss mean: 0.051094 2021-05-27 00:15:16.572: INFO @log_variables: train age_confidence/accuracy mean: 0.721861 2021-05-27 00:15:16.572: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:15:16.574: INFO @metrics_hook: train age_mae: 12.232 +-0.182 (13824) 2021-05-27 00:15:16.576: INFO @metrics_hook: train gender_accuracy: 0.777 +-0.007 (13824) 2021-05-27 00:15:18.866: INFO @decay_lr : LR updated to `0.00015248841` 2021-05-27 00:15:18.867: INFO @log_profile : T train: 18.397792 2021-05-27 00:15:18.867: INFO @log_profile : T read data: 0.301883 2021-05-27 00:15:18.867: INFO @log_profile : T hooks: 2.942341 2021-05-27 00:15:18.867: INFO @main_loop : Epoch 135 done 2021-05-27 00:15:18.867: INFO @main_loop : Training epoch 136 2021-05-27 00:15:37.962: INFO @log_variables: train loss nanmean: 1.449186 2021-05-27 00:15:37.962: INFO @log_variables: train age_loss mean: 1.129905 2021-05-27 00:15:37.962: INFO @log_variables: train gender_loss mean: 0.458451 2021-05-27 00:15:37.962: INFO @log_variables: train age_mae mean: 12.311232 2021-05-27 00:15:37.962: INFO @log_variables: train gender_accuracy mean: 0.780249 2021-05-27 00:15:37.963: INFO @log_variables: train artificial_age_loss mean: 0.220463 2021-05-27 00:15:37.963: INFO @log_variables: train gender_confidence/loss nanmean: 0.074399 2021-05-27 00:15:37.963: INFO @log_variables: train gender_confidence/accuracy mean: 0.708810 2021-05-27 00:15:37.963: INFO @log_variables: train age_confidence/loss mean: 0.051475 2021-05-27 00:15:37.963: INFO @log_variables: train age_confidence/accuracy mean: 0.714824 2021-05-27 00:15:37.963: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:15:37.965: INFO @metrics_hook: train age_mae: 12.311 +-0.182 (13802) 2021-05-27 00:15:37.967: INFO @metrics_hook: train gender_accuracy: 0.780 +-0.007 (13802) 2021-05-27 00:15:40.208: INFO @decay_lr : LR updated to `0.00015172597` 2021-05-27 00:15:40.209: INFO @log_profile : T train: 17.984139 2021-05-27 00:15:40.209: INFO @log_profile : T read data: 0.450337 2021-05-27 00:15:40.209: INFO @log_profile : T hooks: 2.855195 2021-05-27 00:15:40.209: INFO @main_loop : Epoch 136 done 2021-05-27 00:15:40.210: INFO @main_loop : Training epoch 137 2021-05-27 00:15:59.475: INFO @log_variables: train loss nanmean: 1.435235 2021-05-27 00:15:59.475: INFO @log_variables: train age_loss mean: 1.129271 2021-05-27 00:15:59.475: INFO @log_variables: train gender_loss mean: 0.456853 2021-05-27 00:15:59.475: INFO @log_variables: train age_mae mean: 12.297670 2021-05-27 00:15:59.475: INFO @log_variables: train gender_accuracy mean: 0.779586 2021-05-27 00:15:59.475: INFO @log_variables: train artificial_age_loss mean: 0.220543 2021-05-27 00:15:59.475: INFO @log_variables: train gender_confidence/loss nanmean: 0.074007 2021-05-27 00:15:59.475: INFO @log_variables: train gender_confidence/accuracy mean: 0.716363 2021-05-27 00:15:59.475: INFO @log_variables: train age_confidence/loss mean: 0.050695 2021-05-27 00:15:59.475: INFO @log_variables: train age_confidence/accuracy mean: 0.721499 2021-05-27 00:15:59.475: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:15:59.477: INFO @metrics_hook: train age_mae: 12.298 +-0.181 (13824) 2021-05-27 00:15:59.478: INFO @metrics_hook: train gender_accuracy: 0.780 +-0.007 (13824) 2021-05-27 00:16:01.657: INFO @decay_lr : LR updated to `0.00015096733` 2021-05-27 00:16:01.658: INFO @log_profile : T train: 18.334902 2021-05-27 00:16:01.658: INFO @log_profile : T read data: 0.291205 2021-05-27 00:16:01.658: INFO @log_profile : T hooks: 2.769577 2021-05-27 00:16:01.658: INFO @main_loop : Epoch 137 done 2021-05-27 00:16:01.658: INFO @main_loop : Training epoch 138 2021-05-27 00:16:20.598: INFO @log_variables: train loss nanmean: 1.452585 2021-05-27 00:16:20.598: INFO @log_variables: train age_loss mean: 1.147027 2021-05-27 00:16:20.598: INFO @log_variables: train gender_loss mean: 0.459708 2021-05-27 00:16:20.598: INFO @log_variables: train age_mae mean: 12.460481 2021-05-27 00:16:20.598: INFO @log_variables: train gender_accuracy mean: 0.781829 2021-05-27 00:16:20.598: INFO @log_variables: train artificial_age_loss mean: 0.221545 2021-05-27 00:16:20.598: INFO @log_variables: train gender_confidence/loss nanmean: 0.075204 2021-05-27 00:16:20.598: INFO @log_variables: train gender_confidence/accuracy mean: 0.705368 2021-05-27 00:16:20.598: INFO @log_variables: train age_confidence/loss mean: 0.050768 2021-05-27 00:16:20.598: INFO @log_variables: train age_confidence/accuracy mean: 0.719980 2021-05-27 00:16:20.599: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:16:20.600: INFO @metrics_hook: train age_mae: 12.460 +-0.186 (13824) 2021-05-27 00:16:20.602: INFO @metrics_hook: train gender_accuracy: 0.782 +-0.007 (13824) 2021-05-27 00:16:22.849: INFO @decay_lr : LR updated to `0.0001502125` 2021-05-27 00:16:22.850: INFO @log_profile : T train: 17.960547 2021-05-27 00:16:22.850: INFO @log_profile : T read data: 0.311436 2021-05-27 00:16:22.850: INFO @log_profile : T hooks: 2.865983 2021-05-27 00:16:22.850: INFO @main_loop : Epoch 138 done 2021-05-27 00:16:22.850: INFO @main_loop : Training epoch 139 2021-05-27 00:16:42.189: INFO @log_variables: train loss nanmean: 1.419351 2021-05-27 00:16:42.189: INFO @log_variables: train age_loss mean: 1.133438 2021-05-27 00:16:42.189: INFO @log_variables: train gender_loss mean: 0.452997 2021-05-27 00:16:42.190: INFO @log_variables: train age_mae mean: 12.336278 2021-05-27 00:16:42.190: INFO @log_variables: train gender_accuracy mean: 0.786748 2021-05-27 00:16:42.190: INFO @log_variables: train artificial_age_loss mean: 0.220726 2021-05-27 00:16:42.190: INFO @log_variables: train gender_confidence/loss nanmean: 0.075250 2021-05-27 00:16:42.190: INFO @log_variables: train gender_confidence/accuracy mean: 0.703921 2021-05-27 00:16:42.190: INFO @log_variables: train age_confidence/loss mean: 0.050694 2021-05-27 00:16:42.190: INFO @log_variables: train age_confidence/accuracy mean: 0.720631 2021-05-27 00:16:42.190: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:16:42.192: INFO @metrics_hook: train age_mae: 12.336 +-0.182 (13824) 2021-05-27 00:16:42.194: INFO @metrics_hook: train gender_accuracy: 0.787 +-0.007 (13824) 2021-05-27 00:16:46.350: INFO @decay_lr : LR updated to `0.00014946143` 2021-05-27 00:16:46.351: INFO @log_profile : T train: 18.379035 2021-05-27 00:16:46.351: INFO @log_profile : T read data: 0.297269 2021-05-27 00:16:46.351: INFO @log_profile : T hooks: 4.771522 2021-05-27 00:16:46.351: INFO @main_loop : Epoch 139 done 2021-05-27 00:16:46.351: INFO @main_loop : Training epoch 140 2021-05-27 00:17:05.654: INFO @log_variables: train loss nanmean: 1.450549 2021-05-27 00:17:05.654: INFO @log_variables: train age_loss mean: 1.125476 2021-05-27 00:17:05.654: INFO @log_variables: train gender_loss mean: 0.459065 2021-05-27 00:17:05.654: INFO @log_variables: train age_mae mean: 12.249146 2021-05-27 00:17:05.655: INFO @log_variables: train gender_accuracy mean: 0.782061 2021-05-27 00:17:05.655: INFO @log_variables: train artificial_age_loss mean: 0.221020 2021-05-27 00:17:05.655: INFO @log_variables: train gender_confidence/loss nanmean: 0.074946 2021-05-27 00:17:05.655: INFO @log_variables: train gender_confidence/accuracy mean: 0.700768 2021-05-27 00:17:05.655: INFO @log_variables: train age_confidence/loss mean: 0.050880 2021-05-27 00:17:05.655: INFO @log_variables: train age_confidence/accuracy mean: 0.720910 2021-05-27 00:17:05.655: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:17:05.657: INFO @metrics_hook: train age_mae: 12.249 +-0.180 (13802) 2021-05-27 00:17:05.659: INFO @metrics_hook: train gender_accuracy: 0.782 +-0.007 (13802) 2021-05-27 00:17:07.901: INFO @decay_lr : LR updated to `0.00014871411` 2021-05-27 00:17:07.902: INFO @log_profile : T train: 18.161592 2021-05-27 00:17:07.902: INFO @log_profile : T read data: 0.464915 2021-05-27 00:17:07.903: INFO @log_profile : T hooks: 2.867982 2021-05-27 00:17:07.903: INFO @main_loop : Epoch 140 done 2021-05-27 00:17:07.903: INFO @main_loop : Training epoch 141 2021-05-27 00:17:27.041: INFO @log_variables: train loss nanmean: 1.426718 2021-05-27 00:17:27.041: INFO @log_variables: train age_loss mean: 1.127191 2021-05-27 00:17:27.041: INFO @log_variables: train gender_loss mean: 0.456358 2021-05-27 00:17:27.041: INFO @log_variables: train age_mae mean: 12.291762 2021-05-27 00:17:27.041: INFO @log_variables: train gender_accuracy mean: 0.781322 2021-05-27 00:17:27.041: INFO @log_variables: train artificial_age_loss mean: 0.223537 2021-05-27 00:17:27.041: INFO @log_variables: train gender_confidence/loss nanmean: 0.074425 2021-05-27 00:17:27.041: INFO @log_variables: train gender_confidence/accuracy mean: 0.714337 2021-05-27 00:17:27.041: INFO @log_variables: train age_confidence/loss mean: 0.051246 2021-05-27 00:17:27.041: INFO @log_variables: train age_confidence/accuracy mean: 0.715205 2021-05-27 00:17:27.041: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:17:27.043: INFO @metrics_hook: train age_mae: 12.292 +-0.182 (13824) 2021-05-27 00:17:27.044: INFO @metrics_hook: train gender_accuracy: 0.781 +-0.007 (13824) 2021-05-27 00:17:29.218: INFO @decay_lr : LR updated to `0.00014797054` 2021-05-27 00:17:29.220: INFO @log_profile : T train: 18.181678 2021-05-27 00:17:29.220: INFO @log_profile : T read data: 0.296791 2021-05-27 00:17:29.220: INFO @log_profile : T hooks: 2.785938 2021-05-27 00:17:29.220: INFO @main_loop : Epoch 141 done 2021-05-27 00:17:29.220: INFO @main_loop : Training epoch 142 2021-05-27 00:17:48.370: INFO @log_variables: train loss nanmean: 1.434725 2021-05-27 00:17:48.371: INFO @log_variables: train age_loss mean: 1.133187 2021-05-27 00:17:48.371: INFO @log_variables: train gender_loss mean: 0.451629 2021-05-27 00:17:48.371: INFO @log_variables: train age_mae mean: 12.346395 2021-05-27 00:17:48.371: INFO @log_variables: train gender_accuracy mean: 0.783348 2021-05-27 00:17:48.371: INFO @log_variables: train artificial_age_loss mean: 0.220371 2021-05-27 00:17:48.371: INFO @log_variables: train gender_confidence/loss nanmean: 0.073989 2021-05-27 00:17:48.371: INFO @log_variables: train gender_confidence/accuracy mean: 0.712674 2021-05-27 00:17:48.371: INFO @log_variables: train age_confidence/loss mean: 0.051143 2021-05-27 00:17:48.371: INFO @log_variables: train age_confidence/accuracy mean: 0.719256 2021-05-27 00:17:48.372: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:17:48.374: INFO @metrics_hook: train age_mae: 12.346 +-0.183 (13824) 2021-05-27 00:17:48.376: INFO @metrics_hook: train gender_accuracy: 0.783 +-0.007 (13824) 2021-05-27 00:17:50.566: INFO @decay_lr : LR updated to `0.00014723069` 2021-05-27 00:17:50.567: INFO @log_profile : T train: 18.163203 2021-05-27 00:17:50.567: INFO @log_profile : T read data: 0.305769 2021-05-27 00:17:50.567: INFO @log_profile : T hooks: 2.823470 2021-05-27 00:17:50.567: INFO @main_loop : Epoch 142 done 2021-05-27 00:17:50.567: INFO @main_loop : Training epoch 143 2021-05-27 00:18:09.770: INFO @log_variables: train loss nanmean: 1.434118 2021-05-27 00:18:09.770: INFO @log_variables: train age_loss mean: 1.113091 2021-05-27 00:18:09.770: INFO @log_variables: train gender_loss mean: 0.459289 2021-05-27 00:18:09.770: INFO @log_variables: train age_mae mean: 12.143791 2021-05-27 00:18:09.771: INFO @log_variables: train gender_accuracy mean: 0.779876 2021-05-27 00:18:09.771: INFO @log_variables: train artificial_age_loss mean: 0.221280 2021-05-27 00:18:09.771: INFO @log_variables: train gender_confidence/loss nanmean: 0.074382 2021-05-27 00:18:09.771: INFO @log_variables: train gender_confidence/accuracy mean: 0.710720 2021-05-27 00:18:09.771: INFO @log_variables: train age_confidence/loss mean: 0.050605 2021-05-27 00:18:09.771: INFO @log_variables: train age_confidence/accuracy mean: 0.722150 2021-05-27 00:18:09.771: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:18:09.773: INFO @metrics_hook: train age_mae: 12.144 +-0.178 (13824) 2021-05-27 00:18:09.776: INFO @metrics_hook: train gender_accuracy: 0.780 +-0.007 (13824) 2021-05-27 00:18:11.891: INFO @decay_lr : LR updated to `0.00014649454` 2021-05-27 00:18:11.892: INFO @log_profile : T train: 18.233643 2021-05-27 00:18:11.892: INFO @log_profile : T read data: 0.321586 2021-05-27 00:18:11.892: INFO @log_profile : T hooks: 2.717847 2021-05-27 00:18:11.892: INFO @main_loop : Epoch 143 done 2021-05-27 00:18:11.893: INFO @main_loop : Training epoch 144 2021-05-27 00:18:31.337: INFO @log_variables: train loss nanmean: 1.420361 2021-05-27 00:18:31.338: INFO @log_variables: train age_loss mean: 1.122375 2021-05-27 00:18:31.338: INFO @log_variables: train gender_loss mean: 0.450486 2021-05-27 00:18:31.338: INFO @log_variables: train age_mae mean: 12.233129 2021-05-27 00:18:31.338: INFO @log_variables: train gender_accuracy mean: 0.786392 2021-05-27 00:18:31.338: INFO @log_variables: train artificial_age_loss mean: 0.222565 2021-05-27 00:18:31.338: INFO @log_variables: train gender_confidence/loss nanmean: 0.074613 2021-05-27 00:18:31.338: INFO @log_variables: train gender_confidence/accuracy mean: 0.709369 2021-05-27 00:18:31.338: INFO @log_variables: train age_confidence/loss mean: 0.050714 2021-05-27 00:18:31.338: INFO @log_variables: train age_confidence/accuracy mean: 0.722991 2021-05-27 00:18:31.338: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:18:31.340: INFO @metrics_hook: train age_mae: 12.233 +-0.180 (13801) 2021-05-27 00:18:31.341: INFO @metrics_hook: train gender_accuracy: 0.786 +-0.007 (13801) 2021-05-27 00:18:33.521: INFO @decay_lr : LR updated to `0.00014576207` 2021-05-27 00:18:33.522: INFO @log_profile : T train: 18.305891 2021-05-27 00:18:33.522: INFO @log_profile : T read data: 0.460101 2021-05-27 00:18:33.522: INFO @log_profile : T hooks: 2.811079 2021-05-27 00:18:33.522: INFO @main_loop : Epoch 144 done 2021-05-27 00:18:33.522: INFO @main_loop : Training epoch 145 2021-05-27 00:18:52.673: INFO @log_variables: train loss nanmean: 1.391784 2021-05-27 00:18:52.674: INFO @log_variables: train age_loss mean: 1.111985 2021-05-27 00:18:52.674: INFO @log_variables: train gender_loss mean: 0.458423 2021-05-27 00:18:52.674: INFO @log_variables: train age_mae mean: 12.147101 2021-05-27 00:18:52.674: INFO @log_variables: train gender_accuracy mean: 0.778863 2021-05-27 00:18:52.674: INFO @log_variables: train artificial_age_loss mean: 0.220763 2021-05-27 00:18:52.674: INFO @log_variables: train gender_confidence/loss nanmean: 0.074207 2021-05-27 00:18:52.674: INFO @log_variables: train gender_confidence/accuracy mean: 0.708912 2021-05-27 00:18:52.674: INFO @log_variables: train age_confidence/loss mean: 0.051265 2021-05-27 00:18:52.674: INFO @log_variables: train age_confidence/accuracy mean: 0.715929 2021-05-27 00:18:52.675: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:18:52.677: INFO @metrics_hook: train age_mae: 12.147 +-0.179 (13824) 2021-05-27 00:18:52.679: INFO @metrics_hook: train gender_accuracy: 0.779 +-0.007 (13824) 2021-05-27 00:18:54.812: INFO @decay_lr : LR updated to `0.00014503326` 2021-05-27 00:18:54.814: INFO @log_profile : T train: 18.170663 2021-05-27 00:18:54.814: INFO @log_profile : T read data: 0.321616 2021-05-27 00:18:54.814: INFO @log_profile : T hooks: 2.744991 2021-05-27 00:18:54.814: INFO @main_loop : Epoch 145 done 2021-05-27 00:18:54.814: INFO @main_loop : Training epoch 146 2021-05-27 00:19:14.098: INFO @log_variables: train loss nanmean: 1.411413 2021-05-27 00:19:14.098: INFO @log_variables: train age_loss mean: 1.116229 2021-05-27 00:19:14.098: INFO @log_variables: train gender_loss mean: 0.447689 2021-05-27 00:19:14.098: INFO @log_variables: train age_mae mean: 12.187475 2021-05-27 00:19:14.098: INFO @log_variables: train gender_accuracy mean: 0.782480 2021-05-27 00:19:14.098: INFO @log_variables: train artificial_age_loss mean: 0.221071 2021-05-27 00:19:14.098: INFO @log_variables: train gender_confidence/loss nanmean: 0.073753 2021-05-27 00:19:14.098: INFO @log_variables: train gender_confidence/accuracy mean: 0.713976 2021-05-27 00:19:14.098: INFO @log_variables: train age_confidence/loss mean: 0.051416 2021-05-27 00:19:14.098: INFO @log_variables: train age_confidence/accuracy mean: 0.715929 2021-05-27 00:19:14.098: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:19:14.100: INFO @metrics_hook: train age_mae: 12.187 +-0.182 (13824) 2021-05-27 00:19:14.101: INFO @metrics_hook: train gender_accuracy: 0.782 +-0.007 (13824) 2021-05-27 00:19:16.334: INFO @decay_lr : LR updated to `0.0001443081` 2021-05-27 00:19:16.335: INFO @log_profile : T train: 18.321197 2021-05-27 00:19:16.335: INFO @log_profile : T read data: 0.305635 2021-05-27 00:19:16.336: INFO @log_profile : T hooks: 2.838882 2021-05-27 00:19:16.336: INFO @main_loop : Epoch 146 done 2021-05-27 00:19:16.336: INFO @main_loop : Training epoch 147 2021-05-27 00:19:35.579: INFO @log_variables: train loss nanmean: 1.433226 2021-05-27 00:19:35.579: INFO @log_variables: train age_loss mean: 1.119125 2021-05-27 00:19:35.579: INFO @log_variables: train gender_loss mean: 0.451092 2021-05-27 00:19:35.579: INFO @log_variables: train age_mae mean: 12.229080 2021-05-27 00:19:35.579: INFO @log_variables: train gender_accuracy mean: 0.783727 2021-05-27 00:19:35.579: INFO @log_variables: train artificial_age_loss mean: 0.222131 2021-05-27 00:19:35.580: INFO @log_variables: train gender_confidence/loss nanmean: 0.074197 2021-05-27 00:19:35.580: INFO @log_variables: train gender_confidence/accuracy mean: 0.707868 2021-05-27 00:19:35.580: INFO @log_variables: train age_confidence/loss mean: 0.050862 2021-05-27 00:19:35.580: INFO @log_variables: train age_confidence/accuracy mean: 0.719388 2021-05-27 00:19:35.580: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:19:35.582: INFO @metrics_hook: train age_mae: 12.229 +-0.183 (13802) 2021-05-27 00:19:35.583: INFO @metrics_hook: train gender_accuracy: 0.784 +-0.007 (13802) 2021-05-27 00:19:37.737: INFO @decay_lr : LR updated to `0.00014358656` 2021-05-27 00:19:37.738: INFO @log_profile : T train: 18.128355 2021-05-27 00:19:37.738: INFO @log_profile : T read data: 0.448659 2021-05-27 00:19:37.738: INFO @log_profile : T hooks: 2.772469 2021-05-27 00:19:37.739: INFO @main_loop : Epoch 147 done 2021-05-27 00:19:37.739: INFO @main_loop : Training epoch 148 2021-05-27 00:19:57.088: INFO @log_variables: train loss nanmean: 1.449608 2021-05-27 00:19:57.089: INFO @log_variables: train age_loss mean: 1.137738 2021-05-27 00:19:57.089: INFO @log_variables: train gender_loss mean: 0.453938 2021-05-27 00:19:57.089: INFO @log_variables: train age_mae mean: 12.383979 2021-05-27 00:19:57.089: INFO @log_variables: train gender_accuracy mean: 0.783709 2021-05-27 00:19:57.089: INFO @log_variables: train artificial_age_loss mean: 0.221268 2021-05-27 00:19:57.089: INFO @log_variables: train gender_confidence/loss nanmean: 0.074657 2021-05-27 00:19:57.089: INFO @log_variables: train gender_confidence/accuracy mean: 0.709491 2021-05-27 00:19:57.089: INFO @log_variables: train age_confidence/loss mean: 0.051028 2021-05-27 00:19:57.090: INFO @log_variables: train age_confidence/accuracy mean: 0.716725 2021-05-27 00:19:57.090: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:19:57.092: INFO @metrics_hook: train age_mae: 12.384 +-0.182 (13824) 2021-05-27 00:19:57.094: INFO @metrics_hook: train gender_accuracy: 0.784 +-0.007 (13824) 2021-05-27 00:19:59.267: INFO @decay_lr : LR updated to `0.00014286862` 2021-05-27 00:19:59.269: INFO @log_profile : T train: 18.387616 2021-05-27 00:19:59.269: INFO @log_profile : T read data: 0.293542 2021-05-27 00:19:59.269: INFO @log_profile : T hooks: 2.796992 2021-05-27 00:19:59.269: INFO @main_loop : Epoch 148 done 2021-05-27 00:19:59.269: INFO @main_loop : Training epoch 149 2021-05-27 00:20:18.716: INFO @log_variables: train loss nanmean: 1.428026 2021-05-27 00:20:18.716: INFO @log_variables: train age_loss mean: 1.117913 2021-05-27 00:20:18.716: INFO @log_variables: train gender_loss mean: 0.448883 2021-05-27 00:20:18.716: INFO @log_variables: train age_mae mean: 12.206285 2021-05-27 00:20:18.716: INFO @log_variables: train gender_accuracy mean: 0.784795 2021-05-27 00:20:18.716: INFO @log_variables: train artificial_age_loss mean: 0.219656 2021-05-27 00:20:18.716: INFO @log_variables: train gender_confidence/loss nanmean: 0.073719 2021-05-27 00:20:18.716: INFO @log_variables: train gender_confidence/accuracy mean: 0.709635 2021-05-27 00:20:18.716: INFO @log_variables: train age_confidence/loss mean: 0.050963 2021-05-27 00:20:18.717: INFO @log_variables: train age_confidence/accuracy mean: 0.719618 2021-05-27 00:20:18.717: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:20:18.719: INFO @metrics_hook: train age_mae: 12.206 +-0.181 (13824) 2021-05-27 00:20:18.721: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13824) 2021-05-27 00:20:20.868: INFO @decay_lr : LR updated to `0.00014215428` 2021-05-27 00:20:20.869: INFO @log_profile : T train: 18.440106 2021-05-27 00:20:20.869: INFO @log_profile : T read data: 0.313091 2021-05-27 00:20:20.870: INFO @log_profile : T hooks: 2.793121 2021-05-27 00:20:20.870: INFO @main_loop : Epoch 149 done 2021-05-27 00:20:20.870: INFO @main_loop : Training epoch 150 2021-05-27 00:20:39.847: INFO @log_variables: train loss nanmean: 1.425137 2021-05-27 00:20:39.848: INFO @log_variables: train age_loss mean: 1.108499 2021-05-27 00:20:39.848: INFO @log_variables: train gender_loss mean: 0.449597 2021-05-27 00:20:39.848: INFO @log_variables: train age_mae mean: 12.117620 2021-05-27 00:20:39.848: INFO @log_variables: train gender_accuracy mean: 0.786675 2021-05-27 00:20:39.848: INFO @log_variables: train artificial_age_loss mean: 0.219257 2021-05-27 00:20:39.848: INFO @log_variables: train gender_confidence/loss nanmean: 0.074388 2021-05-27 00:20:39.848: INFO @log_variables: train gender_confidence/accuracy mean: 0.707610 2021-05-27 00:20:39.848: INFO @log_variables: train age_confidence/loss mean: 0.051622 2021-05-27 00:20:39.848: INFO @log_variables: train age_confidence/accuracy mean: 0.712674 2021-05-27 00:20:39.848: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:20:39.850: INFO @metrics_hook: train age_mae: 12.118 +-0.181 (13824) 2021-05-27 00:20:39.851: INFO @metrics_hook: train gender_accuracy: 0.787 +-0.007 (13824) 2021-05-27 00:20:42.010: INFO @decay_lr : LR updated to `0.00014144351` 2021-05-27 00:20:42.012: INFO @log_profile : T train: 18.026628 2021-05-27 00:20:42.012: INFO @log_profile : T read data: 0.298888 2021-05-27 00:20:42.012: INFO @log_profile : T hooks: 2.765373 2021-05-27 00:20:42.013: INFO @main_loop : Epoch 150 done 2021-05-27 00:20:42.013: INFO @main_loop : Training epoch 151 2021-05-27 00:21:01.131: INFO @log_variables: train loss nanmean: 1.424801 2021-05-27 00:21:01.131: INFO @log_variables: train age_loss mean: 1.118019 2021-05-27 00:21:01.131: INFO @log_variables: train gender_loss mean: 0.449866 2021-05-27 00:21:01.131: INFO @log_variables: train age_mae mean: 12.206871 2021-05-27 00:21:01.131: INFO @log_variables: train gender_accuracy mean: 0.789306 2021-05-27 00:21:01.131: INFO @log_variables: train artificial_age_loss mean: 0.220177 2021-05-27 00:21:01.131: INFO @log_variables: train gender_confidence/loss nanmean: 0.075211 2021-05-27 00:21:01.132: INFO @log_variables: train gender_confidence/accuracy mean: 0.711853 2021-05-27 00:21:01.132: INFO @log_variables: train age_confidence/loss mean: 0.051301 2021-05-27 00:21:01.132: INFO @log_variables: train age_confidence/accuracy mean: 0.714679 2021-05-27 00:21:01.132: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:21:01.134: INFO @metrics_hook: train age_mae: 12.207 +-0.181 (13802) 2021-05-27 00:21:01.136: INFO @metrics_hook: train gender_accuracy: 0.789 +-0.007 (13802) 2021-05-27 00:21:03.299: INFO @decay_lr : LR updated to `0.00014073629` 2021-05-27 00:21:03.300: INFO @log_profile : T train: 18.005114 2021-05-27 00:21:03.300: INFO @log_profile : T read data: 0.459766 2021-05-27 00:21:03.300: INFO @log_profile : T hooks: 2.769407 2021-05-27 00:21:03.300: INFO @main_loop : Epoch 151 done 2021-05-27 00:21:03.300: INFO @main_loop : Training epoch 152 2021-05-27 00:21:22.821: INFO @log_variables: train loss nanmean: 1.432245 2021-05-27 00:21:22.822: INFO @log_variables: train age_loss mean: 1.132707 2021-05-27 00:21:22.822: INFO @log_variables: train gender_loss mean: 0.453416 2021-05-27 00:21:22.822: INFO @log_variables: train age_mae mean: 12.335799 2021-05-27 00:21:22.822: INFO @log_variables: train gender_accuracy mean: 0.785342 2021-05-27 00:21:22.822: INFO @log_variables: train artificial_age_loss mean: 0.221139 2021-05-27 00:21:22.822: INFO @log_variables: train gender_confidence/loss nanmean: 0.074885 2021-05-27 00:21:22.822: INFO @log_variables: train gender_confidence/accuracy mean: 0.706048 2021-05-27 00:21:22.822: INFO @log_variables: train age_confidence/loss mean: 0.050784 2021-05-27 00:21:22.822: INFO @log_variables: train age_confidence/accuracy mean: 0.718854 2021-05-27 00:21:22.822: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:21:22.824: INFO @metrics_hook: train age_mae: 12.336 +-0.180 (13822) 2021-05-27 00:21:22.825: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13822) 2021-05-27 00:21:24.999: INFO @decay_lr : LR updated to `0.0001400326` 2021-05-27 00:21:25.001: INFO @log_profile : T train: 18.524508 2021-05-27 00:21:25.001: INFO @log_profile : T read data: 0.312662 2021-05-27 00:21:25.001: INFO @log_profile : T hooks: 2.810060 2021-05-27 00:21:25.001: INFO @main_loop : Epoch 152 done 2021-05-27 00:21:25.001: INFO @main_loop : Training epoch 153 2021-05-27 00:21:44.262: INFO @log_variables: train loss nanmean: 1.375114 2021-05-27 00:21:44.263: INFO @log_variables: train age_loss mean: 1.095891 2021-05-27 00:21:44.263: INFO @log_variables: train gender_loss mean: 0.434830 2021-05-27 00:21:44.263: INFO @log_variables: train age_mae mean: 12.009636 2021-05-27 00:21:44.263: INFO @log_variables: train gender_accuracy mean: 0.795862 2021-05-27 00:21:44.263: INFO @log_variables: train artificial_age_loss mean: 0.215239 2021-05-27 00:21:44.263: INFO @log_variables: train gender_confidence/loss nanmean: 0.073949 2021-05-27 00:21:44.263: INFO @log_variables: train gender_confidence/accuracy mean: 0.725984 2021-05-27 00:21:44.263: INFO @log_variables: train age_confidence/loss mean: 0.051416 2021-05-27 00:21:44.263: INFO @log_variables: train age_confidence/accuracy mean: 0.717231 2021-05-27 00:21:44.263: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:21:44.266: INFO @metrics_hook: train age_mae: 12.010 +-0.180 (13824) 2021-05-27 00:21:44.268: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13824) 2021-05-27 00:21:46.571: INFO @decay_lr : LR updated to `0.00013933243` 2021-05-27 00:21:46.572: INFO @log_profile : T train: 18.307305 2021-05-27 00:21:46.572: INFO @log_profile : T read data: 0.302678 2021-05-27 00:21:46.572: INFO @log_profile : T hooks: 2.908633 2021-05-27 00:21:46.572: INFO @main_loop : Epoch 153 done 2021-05-27 00:21:46.572: INFO @main_loop : Training epoch 154 2021-05-27 00:22:05.902: INFO @log_variables: train loss nanmean: 1.399963 2021-05-27 00:22:05.902: INFO @log_variables: train age_loss mean: 1.100344 2021-05-27 00:22:05.902: INFO @log_variables: train gender_loss mean: 0.445282 2021-05-27 00:22:05.902: INFO @log_variables: train age_mae mean: 12.032159 2021-05-27 00:22:05.902: INFO @log_variables: train gender_accuracy mean: 0.790148 2021-05-27 00:22:05.902: INFO @log_variables: train artificial_age_loss mean: 0.219024 2021-05-27 00:22:05.902: INFO @log_variables: train gender_confidence/loss nanmean: 0.074303 2021-05-27 00:22:05.902: INFO @log_variables: train gender_confidence/accuracy mean: 0.714193 2021-05-27 00:22:05.902: INFO @log_variables: train age_confidence/loss mean: 0.051993 2021-05-27 00:22:05.902: INFO @log_variables: train age_confidence/accuracy mean: 0.711661 2021-05-27 00:22:05.902: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:22:05.904: INFO @metrics_hook: train age_mae: 12.032 +-0.181 (13824) 2021-05-27 00:22:05.905: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-05-27 00:22:08.158: INFO @decay_lr : LR updated to `0.00013863578` 2021-05-27 00:22:08.159: INFO @log_profile : T train: 18.321517 2021-05-27 00:22:08.159: INFO @log_profile : T read data: 0.318092 2021-05-27 00:22:08.159: INFO @log_profile : T hooks: 2.892928 2021-05-27 00:22:08.159: INFO @main_loop : Epoch 154 done 2021-05-27 00:22:08.159: INFO @main_loop : Training epoch 155 2021-05-27 00:22:27.425: INFO @log_variables: train loss nanmean: 1.411112 2021-05-27 00:22:27.425: INFO @log_variables: train age_loss mean: 1.108874 2021-05-27 00:22:27.425: INFO @log_variables: train gender_loss mean: 0.440782 2021-05-27 00:22:27.425: INFO @log_variables: train age_mae mean: 12.110574 2021-05-27 00:22:27.425: INFO @log_variables: train gender_accuracy mean: 0.788059 2021-05-27 00:22:27.425: INFO @log_variables: train artificial_age_loss mean: 0.218633 2021-05-27 00:22:27.425: INFO @log_variables: train gender_confidence/loss nanmean: 0.073182 2021-05-27 00:22:27.426: INFO @log_variables: train gender_confidence/accuracy mean: 0.713282 2021-05-27 00:22:27.426: INFO @log_variables: train age_confidence/loss mean: 0.051075 2021-05-27 00:22:27.426: INFO @log_variables: train age_confidence/accuracy mean: 0.721180 2021-05-27 00:22:27.426: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:22:27.428: INFO @metrics_hook: train age_mae: 12.111 +-0.180 (13801) 2021-05-27 00:22:27.430: INFO @metrics_hook: train gender_accuracy: 0.788 +-0.007 (13801) 2021-05-27 00:22:29.706: INFO @decay_lr : LR updated to `0.0001379426` 2021-05-27 00:22:29.708: INFO @log_profile : T train: 18.138596 2021-05-27 00:22:29.708: INFO @log_profile : T read data: 0.467111 2021-05-27 00:22:29.708: INFO @log_profile : T hooks: 2.888091 2021-05-27 00:22:29.708: INFO @main_loop : Epoch 155 done 2021-05-27 00:22:29.708: INFO @main_loop : Training epoch 156 2021-05-27 00:22:48.553: INFO @log_variables: train loss nanmean: 1.424623 2021-05-27 00:22:48.554: INFO @log_variables: train age_loss mean: 1.101525 2021-05-27 00:22:48.554: INFO @log_variables: train gender_loss mean: 0.435095 2021-05-27 00:22:48.554: INFO @log_variables: train age_mae mean: 12.058793 2021-05-27 00:22:48.554: INFO @log_variables: train gender_accuracy mean: 0.795139 2021-05-27 00:22:48.554: INFO @log_variables: train artificial_age_loss mean: 0.220462 2021-05-27 00:22:48.554: INFO @log_variables: train gender_confidence/loss nanmean: 0.074252 2021-05-27 00:22:48.554: INFO @log_variables: train gender_confidence/accuracy mean: 0.706308 2021-05-27 00:22:48.554: INFO @log_variables: train age_confidence/loss mean: 0.051482 2021-05-27 00:22:48.554: INFO @log_variables: train age_confidence/accuracy mean: 0.716580 2021-05-27 00:22:48.554: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:22:48.555: INFO @metrics_hook: train age_mae: 12.059 +-0.179 (13824) 2021-05-27 00:22:48.556: INFO @metrics_hook: train gender_accuracy: 0.795 +-0.007 (13824) 2021-05-27 00:22:50.804: INFO @decay_lr : LR updated to `0.00013725288` 2021-05-27 00:22:50.805: INFO @log_profile : T train: 17.880051 2021-05-27 00:22:50.805: INFO @log_profile : T read data: 0.297108 2021-05-27 00:22:50.805: INFO @log_profile : T hooks: 2.865873 2021-05-27 00:22:50.805: INFO @main_loop : Epoch 156 done 2021-05-27 00:22:50.806: INFO @main_loop : Training epoch 157 2021-05-27 00:23:10.191: INFO @log_variables: train loss nanmean: 1.434260 2021-05-27 00:23:10.191: INFO @log_variables: train age_loss mean: 1.116432 2021-05-27 00:23:10.191: INFO @log_variables: train gender_loss mean: 0.439715 2021-05-27 00:23:10.191: INFO @log_variables: train age_mae mean: 12.191119 2021-05-27 00:23:10.191: INFO @log_variables: train gender_accuracy mean: 0.794126 2021-05-27 00:23:10.191: INFO @log_variables: train artificial_age_loss mean: 0.219132 2021-05-27 00:23:10.191: INFO @log_variables: train gender_confidence/loss nanmean: 0.074904 2021-05-27 00:23:10.191: INFO @log_variables: train gender_confidence/accuracy mean: 0.711227 2021-05-27 00:23:10.191: INFO @log_variables: train age_confidence/loss mean: 0.051339 2021-05-27 00:23:10.191: INFO @log_variables: train age_confidence/accuracy mean: 0.722584 2021-05-27 00:23:10.192: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:23:10.193: INFO @metrics_hook: train age_mae: 12.191 +-0.181 (13824) 2021-05-27 00:23:10.195: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13824) 2021-05-27 00:23:12.450: INFO @decay_lr : LR updated to `0.00013656661` 2021-05-27 00:23:12.451: INFO @log_profile : T train: 18.348959 2021-05-27 00:23:12.451: INFO @log_profile : T read data: 0.312076 2021-05-27 00:23:12.451: INFO @log_profile : T hooks: 2.929131 2021-05-27 00:23:12.451: INFO @main_loop : Epoch 157 done 2021-05-27 00:23:12.451: INFO @main_loop : Training epoch 158 2021-05-27 00:23:31.723: INFO @log_variables: train loss nanmean: 1.392915 2021-05-27 00:23:31.724: INFO @log_variables: train age_loss mean: 1.104380 2021-05-27 00:23:31.724: INFO @log_variables: train gender_loss mean: 0.443952 2021-05-27 00:23:31.724: INFO @log_variables: train age_mae mean: 12.081336 2021-05-27 00:23:31.724: INFO @log_variables: train gender_accuracy mean: 0.789569 2021-05-27 00:23:31.724: INFO @log_variables: train artificial_age_loss mean: 0.219116 2021-05-27 00:23:31.724: INFO @log_variables: train gender_confidence/loss nanmean: 0.074660 2021-05-27 00:23:31.724: INFO @log_variables: train gender_confidence/accuracy mean: 0.711733 2021-05-27 00:23:31.724: INFO @log_variables: train age_confidence/loss mean: 0.052122 2021-05-27 00:23:31.724: INFO @log_variables: train age_confidence/accuracy mean: 0.707538 2021-05-27 00:23:31.725: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:23:31.727: INFO @metrics_hook: train age_mae: 12.081 +-0.181 (13824) 2021-05-27 00:23:31.729: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-05-27 00:23:34.034: INFO @decay_lr : LR updated to `0.00013588378` 2021-05-27 00:23:34.036: INFO @log_profile : T train: 18.290164 2021-05-27 00:23:34.036: INFO @log_profile : T read data: 0.313062 2021-05-27 00:23:34.036: INFO @log_profile : T hooks: 2.927419 2021-05-27 00:23:34.036: INFO @main_loop : Epoch 158 done 2021-05-27 00:23:34.036: INFO @main_loop : Training epoch 159 2021-05-27 00:23:53.416: INFO @log_variables: train loss nanmean: 1.380199 2021-05-27 00:23:53.416: INFO @log_variables: train age_loss mean: 1.111050 2021-05-27 00:23:53.416: INFO @log_variables: train gender_loss mean: 0.430015 2021-05-27 00:23:53.416: INFO @log_variables: train age_mae mean: 12.153001 2021-05-27 00:23:53.417: INFO @log_variables: train gender_accuracy mean: 0.798363 2021-05-27 00:23:53.417: INFO @log_variables: train artificial_age_loss mean: 0.215756 2021-05-27 00:23:53.417: INFO @log_variables: train gender_confidence/loss nanmean: 0.074125 2021-05-27 00:23:53.417: INFO @log_variables: train gender_confidence/accuracy mean: 0.718157 2021-05-27 00:23:53.417: INFO @log_variables: train age_confidence/loss mean: 0.051326 2021-05-27 00:23:53.417: INFO @log_variables: train age_confidence/accuracy mean: 0.718157 2021-05-27 00:23:53.417: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:23:53.418: INFO @metrics_hook: train age_mae: 12.153 +-0.181 (13802) 2021-05-27 00:23:53.420: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13802) 2021-05-27 00:23:55.695: INFO @decay_lr : LR updated to `0.00013520436` 2021-05-27 00:23:55.696: INFO @log_profile : T train: 18.272687 2021-05-27 00:23:55.696: INFO @log_profile : T read data: 0.461508 2021-05-27 00:23:55.696: INFO @log_profile : T hooks: 2.873907 2021-05-27 00:23:55.697: INFO @main_loop : Epoch 159 done 2021-05-27 00:23:55.697: INFO @main_loop : Training epoch 160 2021-05-27 00:24:14.882: INFO @log_variables: train loss nanmean: 1.402164 2021-05-27 00:24:14.882: INFO @log_variables: train age_loss mean: 1.100460 2021-05-27 00:24:14.882: INFO @log_variables: train gender_loss mean: 0.450267 2021-05-27 00:24:14.882: INFO @log_variables: train age_mae mean: 12.030635 2021-05-27 00:24:14.883: INFO @log_variables: train gender_accuracy mean: 0.784867 2021-05-27 00:24:14.883: INFO @log_variables: train artificial_age_loss mean: 0.219654 2021-05-27 00:24:14.883: INFO @log_variables: train gender_confidence/loss nanmean: 0.074387 2021-05-27 00:24:14.883: INFO @log_variables: train gender_confidence/accuracy mean: 0.710576 2021-05-27 00:24:14.883: INFO @log_variables: train age_confidence/loss mean: 0.051490 2021-05-27 00:24:14.883: INFO @log_variables: train age_confidence/accuracy mean: 0.712529 2021-05-27 00:24:14.883: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:24:14.885: INFO @metrics_hook: train age_mae: 12.031 +-0.179 (13824) 2021-05-27 00:24:14.887: INFO @metrics_hook: train gender_accuracy: 0.785 +-0.007 (13824) 2021-05-27 00:24:17.122: INFO @decay_lr : LR updated to `0.00013452834` 2021-05-27 00:24:17.123: INFO @log_profile : T train: 18.193247 2021-05-27 00:24:17.123: INFO @log_profile : T read data: 0.312963 2021-05-27 00:24:17.123: INFO @log_profile : T hooks: 2.866126 2021-05-27 00:24:17.123: INFO @main_loop : Epoch 160 done 2021-05-27 00:24:17.123: INFO @main_loop : Training epoch 161 2021-05-27 00:24:36.614: INFO @log_variables: train loss nanmean: 1.366271 2021-05-27 00:24:36.614: INFO @log_variables: train age_loss mean: 1.077297 2021-05-27 00:24:36.614: INFO @log_variables: train gender_loss mean: 0.435155 2021-05-27 00:24:36.614: INFO @log_variables: train age_mae mean: 11.831997 2021-05-27 00:24:36.614: INFO @log_variables: train gender_accuracy mean: 0.792535 2021-05-27 00:24:36.614: INFO @log_variables: train artificial_age_loss mean: 0.218124 2021-05-27 00:24:36.614: INFO @log_variables: train gender_confidence/loss nanmean: 0.073337 2021-05-27 00:24:36.614: INFO @log_variables: train gender_confidence/accuracy mean: 0.717376 2021-05-27 00:24:36.614: INFO @log_variables: train age_confidence/loss mean: 0.051805 2021-05-27 00:24:36.615: INFO @log_variables: train age_confidence/accuracy mean: 0.713325 2021-05-27 00:24:36.615: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:24:36.616: INFO @metrics_hook: train age_mae: 11.832 +-0.177 (13824) 2021-05-27 00:24:36.618: INFO @metrics_hook: train gender_accuracy: 0.793 +-0.007 (13824) 2021-05-27 00:24:38.807: INFO @decay_lr : LR updated to `0.00013385569` 2021-05-27 00:24:38.808: INFO @log_profile : T train: 18.474277 2021-05-27 00:24:38.808: INFO @log_profile : T read data: 0.312632 2021-05-27 00:24:38.808: INFO @log_profile : T hooks: 2.840048 2021-05-27 00:24:38.808: INFO @main_loop : Epoch 161 done 2021-05-27 00:24:38.808: INFO @main_loop : Training epoch 162 2021-05-27 00:24:57.814: INFO @log_variables: train loss nanmean: 1.390402 2021-05-27 00:24:57.814: INFO @log_variables: train age_loss mean: 1.107370 2021-05-27 00:24:57.814: INFO @log_variables: train gender_loss mean: 0.436250 2021-05-27 00:24:57.814: INFO @log_variables: train age_mae mean: 12.131524 2021-05-27 00:24:57.814: INFO @log_variables: train gender_accuracy mean: 0.795501 2021-05-27 00:24:57.814: INFO @log_variables: train artificial_age_loss mean: 0.218486 2021-05-27 00:24:57.814: INFO @log_variables: train gender_confidence/loss nanmean: 0.074066 2021-05-27 00:24:57.815: INFO @log_variables: train gender_confidence/accuracy mean: 0.717159 2021-05-27 00:24:57.815: INFO @log_variables: train age_confidence/loss mean: 0.051243 2021-05-27 00:24:57.815: INFO @log_variables: train age_confidence/accuracy mean: 0.713903 2021-05-27 00:24:57.815: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:24:57.817: INFO @metrics_hook: train age_mae: 12.132 +-0.181 (13824) 2021-05-27 00:24:57.819: INFO @metrics_hook: train gender_accuracy: 0.796 +-0.007 (13824) 2021-05-27 00:25:00.063: INFO @decay_lr : LR updated to `0.00013318642` 2021-05-27 00:25:00.065: INFO @log_profile : T train: 18.069541 2021-05-27 00:25:00.065: INFO @log_profile : T read data: 0.290515 2021-05-27 00:25:00.065: INFO @log_profile : T hooks: 2.845398 2021-05-27 00:25:00.065: INFO @main_loop : Epoch 162 done 2021-05-27 00:25:00.065: INFO @main_loop : Training epoch 163 2021-05-27 00:25:18.768: INFO @log_variables: train loss nanmean: 1.409319 2021-05-27 00:25:18.769: INFO @log_variables: train age_loss mean: 1.104988 2021-05-27 00:25:18.769: INFO @log_variables: train gender_loss mean: 0.439932 2021-05-27 00:25:18.769: INFO @log_variables: train age_mae mean: 12.090797 2021-05-27 00:25:18.769: INFO @log_variables: train gender_accuracy mean: 0.792566 2021-05-27 00:25:18.769: INFO @log_variables: train artificial_age_loss mean: 0.220354 2021-05-27 00:25:18.769: INFO @log_variables: train gender_confidence/loss nanmean: 0.074075 2021-05-27 00:25:18.769: INFO @log_variables: train gender_confidence/accuracy mean: 0.715404 2021-05-27 00:25:18.769: INFO @log_variables: train age_confidence/loss mean: 0.051661 2021-05-27 00:25:18.769: INFO @log_variables: train age_confidence/accuracy mean: 0.713810 2021-05-27 00:25:18.769: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:25:18.770: INFO @metrics_hook: train age_mae: 12.091 +-0.180 (13802) 2021-05-27 00:25:18.771: INFO @metrics_hook: train gender_accuracy: 0.793 +-0.007 (13802) 2021-05-27 00:25:21.025: INFO @decay_lr : LR updated to `0.00013252048` 2021-05-27 00:25:21.026: INFO @log_profile : T train: 17.613424 2021-05-27 00:25:21.026: INFO @log_profile : T read data: 0.437174 2021-05-27 00:25:21.026: INFO @log_profile : T hooks: 2.858054 2021-05-27 00:25:21.026: INFO @main_loop : Epoch 163 done 2021-05-27 00:25:21.026: INFO @main_loop : Training epoch 164 2021-05-27 00:25:40.306: INFO @log_variables: train loss nanmean: 1.363971 2021-05-27 00:25:40.306: INFO @log_variables: train age_loss mean: 1.084335 2021-05-27 00:25:40.306: INFO @log_variables: train gender_loss mean: 0.440154 2021-05-27 00:25:40.306: INFO @log_variables: train age_mae mean: 11.891981 2021-05-27 00:25:40.306: INFO @log_variables: train gender_accuracy mean: 0.789569 2021-05-27 00:25:40.306: INFO @log_variables: train artificial_age_loss mean: 0.215494 2021-05-27 00:25:40.306: INFO @log_variables: train gender_confidence/loss nanmean: 0.073553 2021-05-27 00:25:40.307: INFO @log_variables: train gender_confidence/accuracy mean: 0.720414 2021-05-27 00:25:40.307: INFO @log_variables: train age_confidence/loss mean: 0.051900 2021-05-27 00:25:40.307: INFO @log_variables: train age_confidence/accuracy mean: 0.711299 2021-05-27 00:25:40.307: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:25:40.308: INFO @metrics_hook: train age_mae: 11.892 +-0.177 (13824) 2021-05-27 00:25:40.309: INFO @metrics_hook: train gender_accuracy: 0.790 +-0.007 (13824) 2021-05-27 00:25:42.578: INFO @decay_lr : LR updated to `0.00013185787` 2021-05-27 00:25:42.579: INFO @log_profile : T train: 18.316197 2021-05-27 00:25:42.579: INFO @log_profile : T read data: 0.307390 2021-05-27 00:25:42.579: INFO @log_profile : T hooks: 2.876830 2021-05-27 00:25:42.579: INFO @main_loop : Epoch 164 done 2021-05-27 00:25:42.579: INFO @main_loop : Training epoch 165 2021-05-27 00:26:01.985: INFO @log_variables: train loss nanmean: 1.371082 2021-05-27 00:26:01.985: INFO @log_variables: train age_loss mean: 1.104086 2021-05-27 00:26:01.986: INFO @log_variables: train gender_loss mean: 0.426581 2021-05-27 00:26:01.986: INFO @log_variables: train age_mae mean: 12.075542 2021-05-27 00:26:01.986: INFO @log_variables: train gender_accuracy mean: 0.799118 2021-05-27 00:26:01.986: INFO @log_variables: train artificial_age_loss mean: 0.219236 2021-05-27 00:26:01.986: INFO @log_variables: train gender_confidence/loss nanmean: 0.073425 2021-05-27 00:26:01.986: INFO @log_variables: train gender_confidence/accuracy mean: 0.726128 2021-05-27 00:26:01.986: INFO @log_variables: train age_confidence/loss mean: 0.051250 2021-05-27 00:26:01.986: INFO @log_variables: train age_confidence/accuracy mean: 0.717882 2021-05-27 00:26:01.986: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:26:01.988: INFO @metrics_hook: train age_mae: 12.076 +-0.181 (13824) 2021-05-27 00:26:01.992: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13824) 2021-05-27 00:26:04.369: INFO @decay_lr : LR updated to `0.00013119858` 2021-05-27 00:26:04.371: INFO @log_profile : T train: 18.403583 2021-05-27 00:26:04.371: INFO @log_profile : T read data: 0.315624 2021-05-27 00:26:04.371: INFO @log_profile : T hooks: 3.018359 2021-05-27 00:26:04.371: INFO @main_loop : Epoch 165 done 2021-05-27 00:26:04.371: INFO @main_loop : Training epoch 166 2021-05-27 00:26:23.417: INFO @log_variables: train loss nanmean: 1.398482 2021-05-27 00:26:23.417: INFO @log_variables: train age_loss mean: 1.094509 2021-05-27 00:26:23.417: INFO @log_variables: train gender_loss mean: 0.436139 2021-05-27 00:26:23.418: INFO @log_variables: train age_mae mean: 11.984051 2021-05-27 00:26:23.418: INFO @log_variables: train gender_accuracy mean: 0.798597 2021-05-27 00:26:23.418: INFO @log_variables: train artificial_age_loss mean: 0.218795 2021-05-27 00:26:23.418: INFO @log_variables: train gender_confidence/loss nanmean: 0.074950 2021-05-27 00:26:23.418: INFO @log_variables: train gender_confidence/accuracy mean: 0.719742 2021-05-27 00:26:23.418: INFO @log_variables: train age_confidence/loss mean: 0.051901 2021-05-27 00:26:23.418: INFO @log_variables: train age_confidence/accuracy mean: 0.711857 2021-05-27 00:26:23.418: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:26:23.420: INFO @metrics_hook: train age_mae: 11.984 +-0.178 (13823) 2021-05-27 00:26:23.422: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13823) 2021-05-27 00:26:25.707: INFO @decay_lr : LR updated to `0.0001305426` 2021-05-27 00:26:25.709: INFO @log_profile : T train: 18.072148 2021-05-27 00:26:25.709: INFO @log_profile : T read data: 0.300585 2021-05-27 00:26:25.709: INFO @log_profile : T hooks: 2.911152 2021-05-27 00:26:25.709: INFO @main_loop : Epoch 166 done 2021-05-27 00:26:25.709: INFO @main_loop : Training epoch 167 2021-05-27 00:26:44.672: INFO @log_variables: train loss nanmean: 1.397258 2021-05-27 00:26:44.673: INFO @log_variables: train age_loss mean: 1.095489 2021-05-27 00:26:44.673: INFO @log_variables: train gender_loss mean: 0.437117 2021-05-27 00:26:44.673: INFO @log_variables: train age_mae mean: 11.995472 2021-05-27 00:26:44.673: INFO @log_variables: train gender_accuracy mean: 0.797131 2021-05-27 00:26:44.673: INFO @log_variables: train artificial_age_loss mean: 0.215126 2021-05-27 00:26:44.673: INFO @log_variables: train gender_confidence/loss nanmean: 0.075018 2021-05-27 00:26:44.673: INFO @log_variables: train gender_confidence/accuracy mean: 0.712288 2021-05-27 00:26:44.673: INFO @log_variables: train age_confidence/loss mean: 0.051617 2021-05-27 00:26:44.673: INFO @log_variables: train age_confidence/accuracy mean: 0.714534 2021-05-27 00:26:44.673: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:26:44.675: INFO @metrics_hook: train age_mae: 11.995 +-0.181 (13802) 2021-05-27 00:26:44.677: INFO @metrics_hook: train gender_accuracy: 0.797 +-0.007 (13802) 2021-05-27 00:26:46.977: INFO @decay_lr : LR updated to `0.00012988989` 2021-05-27 00:26:46.978: INFO @log_profile : T train: 17.793911 2021-05-27 00:26:46.978: INFO @log_profile : T read data: 0.474451 2021-05-27 00:26:46.978: INFO @log_profile : T hooks: 2.947894 2021-05-27 00:26:46.978: INFO @main_loop : Epoch 167 done 2021-05-27 00:26:46.978: INFO @main_loop : Training epoch 168 2021-05-27 00:27:05.673: INFO @log_variables: train loss nanmean: 1.382702 2021-05-27 00:27:05.673: INFO @log_variables: train age_loss mean: 1.093418 2021-05-27 00:27:05.674: INFO @log_variables: train gender_loss mean: 0.427199 2021-05-27 00:27:05.674: INFO @log_variables: train age_mae mean: 11.976496 2021-05-27 00:27:05.674: INFO @log_variables: train gender_accuracy mean: 0.798900 2021-05-27 00:27:05.674: INFO @log_variables: train artificial_age_loss mean: 0.219953 2021-05-27 00:27:05.674: INFO @log_variables: train gender_confidence/loss nanmean: 0.073859 2021-05-27 00:27:05.674: INFO @log_variables: train gender_confidence/accuracy mean: 0.721137 2021-05-27 00:27:05.674: INFO @log_variables: train age_confidence/loss mean: 0.051562 2021-05-27 00:27:05.674: INFO @log_variables: train age_confidence/accuracy mean: 0.713976 2021-05-27 00:27:05.674: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:27:05.676: INFO @metrics_hook: train age_mae: 11.976 +-0.181 (13824) 2021-05-27 00:27:05.678: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13824) 2021-05-27 00:27:08.007: INFO @decay_lr : LR updated to `0.00012924043` 2021-05-27 00:27:08.008: INFO @log_profile : T train: 17.741373 2021-05-27 00:27:08.008: INFO @log_profile : T read data: 0.301573 2021-05-27 00:27:08.008: INFO @log_profile : T hooks: 2.933480 2021-05-27 00:27:08.009: INFO @main_loop : Epoch 168 done 2021-05-27 00:27:08.009: INFO @main_loop : Training epoch 169 2021-05-27 00:27:27.361: INFO @log_variables: train loss nanmean: 1.390156 2021-05-27 00:27:27.361: INFO @log_variables: train age_loss mean: 1.081003 2021-05-27 00:27:27.361: INFO @log_variables: train gender_loss mean: 0.433009 2021-05-27 00:27:27.361: INFO @log_variables: train age_mae mean: 11.854071 2021-05-27 00:27:27.361: INFO @log_variables: train gender_accuracy mean: 0.797454 2021-05-27 00:27:27.361: INFO @log_variables: train artificial_age_loss mean: 0.215718 2021-05-27 00:27:27.361: INFO @log_variables: train gender_confidence/loss nanmean: 0.073966 2021-05-27 00:27:27.361: INFO @log_variables: train gender_confidence/accuracy mean: 0.716001 2021-05-27 00:27:27.361: INFO @log_variables: train age_confidence/loss mean: 0.052214 2021-05-27 00:27:27.361: INFO @log_variables: train age_confidence/accuracy mean: 0.710865 2021-05-27 00:27:27.361: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:27:27.363: INFO @metrics_hook: train age_mae: 11.854 +-0.178 (13824) 2021-05-27 00:27:27.365: INFO @metrics_hook: train gender_accuracy: 0.797 +-0.007 (13824) 2021-05-27 00:27:29.622: INFO @decay_lr : LR updated to `0.00012859423` 2021-05-27 00:27:29.623: INFO @log_profile : T train: 18.352304 2021-05-27 00:27:29.623: INFO @log_profile : T read data: 0.322842 2021-05-27 00:27:29.623: INFO @log_profile : T hooks: 2.886423 2021-05-27 00:27:29.623: INFO @main_loop : Epoch 169 done 2021-05-27 00:27:29.623: INFO @main_loop : Training epoch 170 2021-05-27 00:27:48.920: INFO @log_variables: train loss nanmean: 1.375471 2021-05-27 00:27:48.920: INFO @log_variables: train age_loss mean: 1.085118 2021-05-27 00:27:48.920: INFO @log_variables: train gender_loss mean: 0.430437 2021-05-27 00:27:48.920: INFO @log_variables: train age_mae mean: 11.879164 2021-05-27 00:27:48.920: INFO @log_variables: train gender_accuracy mean: 0.801649 2021-05-27 00:27:48.920: INFO @log_variables: train artificial_age_loss mean: 0.217506 2021-05-27 00:27:48.920: INFO @log_variables: train gender_confidence/loss nanmean: 0.074494 2021-05-27 00:27:48.921: INFO @log_variables: train gender_confidence/accuracy mean: 0.715639 2021-05-27 00:27:48.921: INFO @log_variables: train age_confidence/loss mean: 0.052105 2021-05-27 00:27:48.921: INFO @log_variables: train age_confidence/accuracy mean: 0.709346 2021-05-27 00:27:48.921: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:27:48.923: INFO @metrics_hook: train age_mae: 11.879 +-0.180 (13824) 2021-05-27 00:27:48.925: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13824) 2021-05-27 00:27:51.030: INFO @decay_lr : LR updated to `0.00012795125` 2021-05-27 00:27:51.031: INFO @log_profile : T train: 18.301758 2021-05-27 00:27:51.031: INFO @log_profile : T read data: 0.312196 2021-05-27 00:27:51.031: INFO @log_profile : T hooks: 2.739963 2021-05-27 00:27:51.031: INFO @main_loop : Epoch 170 done 2021-05-27 00:27:51.032: INFO @main_loop : Training epoch 171 2021-05-27 00:28:10.362: INFO @log_variables: train loss nanmean: 1.370162 2021-05-27 00:28:10.362: INFO @log_variables: train age_loss mean: 1.081587 2021-05-27 00:28:10.362: INFO @log_variables: train gender_loss mean: 0.427118 2021-05-27 00:28:10.362: INFO @log_variables: train age_mae mean: 11.888539 2021-05-27 00:28:10.362: INFO @log_variables: train gender_accuracy mean: 0.799232 2021-05-27 00:28:10.362: INFO @log_variables: train artificial_age_loss mean: 0.217953 2021-05-27 00:28:10.362: INFO @log_variables: train gender_confidence/loss nanmean: 0.073659 2021-05-27 00:28:10.362: INFO @log_variables: train gender_confidence/accuracy mean: 0.716925 2021-05-27 00:28:10.362: INFO @log_variables: train age_confidence/loss mean: 0.051994 2021-05-27 00:28:10.363: INFO @log_variables: train age_confidence/accuracy mean: 0.711998 2021-05-27 00:28:10.363: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:28:10.364: INFO @metrics_hook: train age_mae: 11.889 +-0.179 (13802) 2021-05-27 00:28:10.366: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13802) 2021-05-27 00:28:12.468: INFO @decay_lr : LR updated to `0.00012731149` 2021-05-27 00:28:12.469: INFO @log_profile : T train: 18.226678 2021-05-27 00:28:12.469: INFO @log_profile : T read data: 0.453078 2021-05-27 00:28:12.469: INFO @log_profile : T hooks: 2.704707 2021-05-27 00:28:12.469: INFO @main_loop : Epoch 171 done 2021-05-27 00:28:12.469: INFO @main_loop : Training epoch 172 2021-05-27 00:28:31.970: INFO @log_variables: train loss nanmean: 1.392487 2021-05-27 00:28:31.970: INFO @log_variables: train age_loss mean: 1.088739 2021-05-27 00:28:31.970: INFO @log_variables: train gender_loss mean: 0.443233 2021-05-27 00:28:31.970: INFO @log_variables: train age_mae mean: 11.920064 2021-05-27 00:28:31.970: INFO @log_variables: train gender_accuracy mean: 0.791305 2021-05-27 00:28:31.970: INFO @log_variables: train artificial_age_loss mean: 0.217911 2021-05-27 00:28:31.970: INFO @log_variables: train gender_confidence/loss nanmean: 0.074263 2021-05-27 00:28:31.971: INFO @log_variables: train gender_confidence/accuracy mean: 0.715350 2021-05-27 00:28:31.971: INFO @log_variables: train age_confidence/loss mean: 0.052698 2021-05-27 00:28:31.971: INFO @log_variables: train age_confidence/accuracy mean: 0.703921 2021-05-27 00:28:31.971: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:28:31.973: INFO @metrics_hook: train age_mae: 11.920 +-0.178 (13824) 2021-05-27 00:28:31.975: INFO @metrics_hook: train gender_accuracy: 0.791 +-0.007 (13824) 2021-05-27 00:28:34.075: INFO @decay_lr : LR updated to `0.00012667493` 2021-05-27 00:28:34.077: INFO @log_profile : T train: 18.526762 2021-05-27 00:28:34.077: INFO @log_profile : T read data: 0.311457 2021-05-27 00:28:34.077: INFO @log_profile : T hooks: 2.715169 2021-05-27 00:28:34.077: INFO @main_loop : Epoch 172 done 2021-05-27 00:28:34.077: INFO @main_loop : Training epoch 173 2021-05-27 00:28:53.175: INFO @log_variables: train loss nanmean: 1.389685 2021-05-27 00:28:53.175: INFO @log_variables: train age_loss mean: 1.091998 2021-05-27 00:28:53.175: INFO @log_variables: train gender_loss mean: 0.434276 2021-05-27 00:28:53.175: INFO @log_variables: train age_mae mean: 11.966741 2021-05-27 00:28:53.175: INFO @log_variables: train gender_accuracy mean: 0.793620 2021-05-27 00:28:53.175: INFO @log_variables: train artificial_age_loss mean: 0.215317 2021-05-27 00:28:53.175: INFO @log_variables: train gender_confidence/loss nanmean: 0.073196 2021-05-27 00:28:53.175: INFO @log_variables: train gender_confidence/accuracy mean: 0.718895 2021-05-27 00:28:53.175: INFO @log_variables: train age_confidence/loss mean: 0.051140 2021-05-27 00:28:53.176: INFO @log_variables: train age_confidence/accuracy mean: 0.717086 2021-05-27 00:28:53.176: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:28:53.178: INFO @metrics_hook: train age_mae: 11.967 +-0.180 (13824) 2021-05-27 00:28:53.179: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13824) 2021-05-27 00:28:57.787: INFO @decay_lr : LR updated to `0.00012604156` 2021-05-27 00:28:57.788: INFO @log_profile : T train: 18.129717 2021-05-27 00:28:57.788: INFO @log_profile : T read data: 0.303826 2021-05-27 00:28:57.788: INFO @log_profile : T hooks: 5.224678 2021-05-27 00:28:57.788: INFO @main_loop : Epoch 173 done 2021-05-27 00:28:57.788: INFO @main_loop : Training epoch 174 2021-05-27 00:29:17.109: INFO @log_variables: train loss nanmean: 1.370215 2021-05-27 00:29:17.109: INFO @log_variables: train age_loss mean: 1.075182 2021-05-27 00:29:17.110: INFO @log_variables: train gender_loss mean: 0.425612 2021-05-27 00:29:17.110: INFO @log_variables: train age_mae mean: 11.812869 2021-05-27 00:29:17.110: INFO @log_variables: train gender_accuracy mean: 0.802058 2021-05-27 00:29:17.110: INFO @log_variables: train artificial_age_loss mean: 0.217916 2021-05-27 00:29:17.110: INFO @log_variables: train gender_confidence/loss nanmean: 0.073801 2021-05-27 00:29:17.110: INFO @log_variables: train gender_confidence/accuracy mean: 0.723663 2021-05-27 00:29:17.110: INFO @log_variables: train age_confidence/loss mean: 0.052529 2021-05-27 00:29:17.110: INFO @log_variables: train age_confidence/accuracy mean: 0.707579 2021-05-27 00:29:17.110: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:29:17.112: INFO @metrics_hook: train age_mae: 11.813 +-0.179 (13802) 2021-05-27 00:29:17.115: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13802) 2021-05-27 00:29:19.330: INFO @decay_lr : LR updated to `0.00012541134` 2021-05-27 00:29:19.331: INFO @log_profile : T train: 18.189573 2021-05-27 00:29:19.331: INFO @log_profile : T read data: 0.434587 2021-05-27 00:29:19.331: INFO @log_profile : T hooks: 2.865520 2021-05-27 00:29:19.332: INFO @main_loop : Epoch 174 done 2021-05-27 00:29:19.332: INFO @main_loop : Training epoch 175 2021-05-27 00:29:38.729: INFO @log_variables: train loss nanmean: 1.362060 2021-05-27 00:29:38.729: INFO @log_variables: train age_loss mean: 1.085324 2021-05-27 00:29:38.729: INFO @log_variables: train gender_loss mean: 0.427794 2021-05-27 00:29:38.730: INFO @log_variables: train age_mae mean: 11.899340 2021-05-27 00:29:38.730: INFO @log_variables: train gender_accuracy mean: 0.802156 2021-05-27 00:29:38.730: INFO @log_variables: train artificial_age_loss mean: 0.214699 2021-05-27 00:29:38.730: INFO @log_variables: train gender_confidence/loss nanmean: 0.073992 2021-05-27 00:29:38.730: INFO @log_variables: train gender_confidence/accuracy mean: 0.724103 2021-05-27 00:29:38.730: INFO @log_variables: train age_confidence/loss mean: 0.052265 2021-05-27 00:29:38.730: INFO @log_variables: train age_confidence/accuracy mean: 0.710214 2021-05-27 00:29:38.730: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:29:38.733: INFO @metrics_hook: train age_mae: 11.899 +-0.179 (13824) 2021-05-27 00:29:38.735: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13824) 2021-05-27 00:29:41.074: INFO @decay_lr : LR updated to `0.00012478429` 2021-05-27 00:29:41.075: INFO @log_profile : T train: 18.426320 2021-05-27 00:29:41.075: INFO @log_profile : T read data: 0.302741 2021-05-27 00:29:41.075: INFO @log_profile : T hooks: 2.960959 2021-05-27 00:29:41.075: INFO @main_loop : Epoch 175 done 2021-05-27 00:29:41.075: INFO @main_loop : Training epoch 176 2021-05-27 00:30:00.077: INFO @log_variables: train loss nanmean: 1.368840 2021-05-27 00:30:00.077: INFO @log_variables: train age_loss mean: 1.087110 2021-05-27 00:30:00.077: INFO @log_variables: train gender_loss mean: 0.422490 2021-05-27 00:30:00.077: INFO @log_variables: train age_mae mean: 11.931512 2021-05-27 00:30:00.078: INFO @log_variables: train gender_accuracy mean: 0.803747 2021-05-27 00:30:00.078: INFO @log_variables: train artificial_age_loss mean: 0.218194 2021-05-27 00:30:00.078: INFO @log_variables: train gender_confidence/loss nanmean: 0.073347 2021-05-27 00:30:00.078: INFO @log_variables: train gender_confidence/accuracy mean: 0.723669 2021-05-27 00:30:00.078: INFO @log_variables: train age_confidence/loss mean: 0.052070 2021-05-27 00:30:00.078: INFO @log_variables: train age_confidence/accuracy mean: 0.709635 2021-05-27 00:30:00.078: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:30:00.081: INFO @metrics_hook: train age_mae: 11.932 +-0.178 (13824) 2021-05-27 00:30:00.083: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-05-27 00:30:02.390: INFO @decay_lr : LR updated to `0.00012416036` 2021-05-27 00:30:02.392: INFO @log_profile : T train: 18.047361 2021-05-27 00:30:02.392: INFO @log_profile : T read data: 0.297770 2021-05-27 00:30:02.392: INFO @log_profile : T hooks: 2.919999 2021-05-27 00:30:02.393: INFO @main_loop : Epoch 176 done 2021-05-27 00:30:02.393: INFO @main_loop : Training epoch 177 2021-05-27 00:30:21.589: INFO @log_variables: train loss nanmean: 1.368207 2021-05-27 00:30:21.590: INFO @log_variables: train age_loss mean: 1.079381 2021-05-27 00:30:21.590: INFO @log_variables: train gender_loss mean: 0.423701 2021-05-27 00:30:21.590: INFO @log_variables: train age_mae mean: 11.837762 2021-05-27 00:30:21.590: INFO @log_variables: train gender_accuracy mean: 0.804615 2021-05-27 00:30:21.590: INFO @log_variables: train artificial_age_loss mean: 0.215348 2021-05-27 00:30:21.590: INFO @log_variables: train gender_confidence/loss nanmean: 0.073934 2021-05-27 00:30:21.590: INFO @log_variables: train gender_confidence/accuracy mean: 0.716001 2021-05-27 00:30:21.590: INFO @log_variables: train age_confidence/loss mean: 0.051914 2021-05-27 00:30:21.590: INFO @log_variables: train age_confidence/accuracy mean: 0.711010 2021-05-27 00:30:21.590: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:30:21.592: INFO @metrics_hook: train age_mae: 11.838 +-0.178 (13824) 2021-05-27 00:30:21.594: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13824) 2021-05-27 00:30:23.949: INFO @decay_lr : LR updated to `0.00012353956` 2021-05-27 00:30:23.950: INFO @log_profile : T train: 18.220053 2021-05-27 00:30:23.950: INFO @log_profile : T read data: 0.315295 2021-05-27 00:30:23.950: INFO @log_profile : T hooks: 2.970042 2021-05-27 00:30:23.950: INFO @main_loop : Epoch 177 done 2021-05-27 00:30:23.950: INFO @main_loop : Training epoch 178 2021-05-27 00:30:43.233: INFO @log_variables: train loss nanmean: 1.386612 2021-05-27 00:30:43.234: INFO @log_variables: train age_loss mean: 1.094057 2021-05-27 00:30:43.234: INFO @log_variables: train gender_loss mean: 0.425650 2021-05-27 00:30:43.234: INFO @log_variables: train age_mae mean: 11.964025 2021-05-27 00:30:43.234: INFO @log_variables: train gender_accuracy mean: 0.800464 2021-05-27 00:30:43.234: INFO @log_variables: train artificial_age_loss mean: 0.217251 2021-05-27 00:30:43.234: INFO @log_variables: train gender_confidence/loss nanmean: 0.073543 2021-05-27 00:30:43.234: INFO @log_variables: train gender_confidence/accuracy mean: 0.726054 2021-05-27 00:30:43.235: INFO @log_variables: train age_confidence/loss mean: 0.052162 2021-05-27 00:30:43.235: INFO @log_variables: train age_confidence/accuracy mean: 0.708231 2021-05-27 00:30:43.235: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:30:43.238: INFO @metrics_hook: train age_mae: 11.964 +-0.180 (13802) 2021-05-27 00:30:43.240: INFO @metrics_hook: train gender_accuracy: 0.800 +-0.007 (13802) 2021-05-27 00:30:45.507: INFO @decay_lr : LR updated to `0.00012292186` 2021-05-27 00:30:45.509: INFO @log_profile : T train: 18.145941 2021-05-27 00:30:45.509: INFO @log_profile : T read data: 0.459422 2021-05-27 00:30:45.509: INFO @log_profile : T hooks: 2.899807 2021-05-27 00:30:45.509: INFO @main_loop : Epoch 178 done 2021-05-27 00:30:45.509: INFO @main_loop : Training epoch 179 2021-05-27 00:31:04.669: INFO @log_variables: train loss nanmean: 1.354502 2021-05-27 00:31:04.669: INFO @log_variables: train age_loss mean: 1.066719 2021-05-27 00:31:04.669: INFO @log_variables: train gender_loss mean: 0.423052 2021-05-27 00:31:04.669: INFO @log_variables: train age_mae mean: 11.735621 2021-05-27 00:31:04.670: INFO @log_variables: train gender_accuracy mean: 0.801071 2021-05-27 00:31:04.670: INFO @log_variables: train artificial_age_loss mean: 0.217319 2021-05-27 00:31:04.670: INFO @log_variables: train gender_confidence/loss nanmean: 0.072982 2021-05-27 00:31:04.670: INFO @log_variables: train gender_confidence/accuracy mean: 0.725911 2021-05-27 00:31:04.670: INFO @log_variables: train age_confidence/loss mean: 0.052386 2021-05-27 00:31:04.670: INFO @log_variables: train age_confidence/accuracy mean: 0.707755 2021-05-27 00:31:04.670: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:31:04.672: INFO @metrics_hook: train age_mae: 11.736 +-0.177 (13824) 2021-05-27 00:31:04.675: INFO @metrics_hook: train gender_accuracy: 0.801 +-0.007 (13824) 2021-05-27 00:31:07.068: INFO @decay_lr : LR updated to `0.00012230725` 2021-05-27 00:31:07.069: INFO @log_profile : T train: 18.151504 2021-05-27 00:31:07.070: INFO @log_profile : T read data: 0.301352 2021-05-27 00:31:07.070: INFO @log_profile : T hooks: 3.054431 2021-05-27 00:31:07.070: INFO @main_loop : Epoch 179 done 2021-05-27 00:31:07.070: INFO @main_loop : Training epoch 180 2021-05-27 00:31:26.288: INFO @log_variables: train loss nanmean: 1.367829 2021-05-27 00:31:26.289: INFO @log_variables: train age_loss mean: 1.082975 2021-05-27 00:31:26.289: INFO @log_variables: train gender_loss mean: 0.419845 2021-05-27 00:31:26.289: INFO @log_variables: train age_mae mean: 11.869315 2021-05-27 00:31:26.289: INFO @log_variables: train gender_accuracy mean: 0.804109 2021-05-27 00:31:26.289: INFO @log_variables: train artificial_age_loss mean: 0.218889 2021-05-27 00:31:26.289: INFO @log_variables: train gender_confidence/loss nanmean: 0.074017 2021-05-27 00:31:26.289: INFO @log_variables: train gender_confidence/accuracy mean: 0.722801 2021-05-27 00:31:26.289: INFO @log_variables: train age_confidence/loss mean: 0.052066 2021-05-27 00:31:26.289: INFO @log_variables: train age_confidence/accuracy mean: 0.709925 2021-05-27 00:31:26.290: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:31:26.291: INFO @metrics_hook: train age_mae: 11.869 +-0.178 (13824) 2021-05-27 00:31:26.293: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-05-27 00:31:28.728: INFO @decay_lr : LR updated to `0.00012169571` 2021-05-27 00:31:28.729: INFO @log_profile : T train: 18.272826 2021-05-27 00:31:28.729: INFO @log_profile : T read data: 0.299269 2021-05-27 00:31:28.729: INFO @log_profile : T hooks: 3.034943 2021-05-27 00:31:28.729: INFO @main_loop : Epoch 180 done 2021-05-27 00:31:28.729: INFO @main_loop : Training epoch 181 2021-05-27 00:31:47.863: INFO @log_variables: train loss nanmean: 1.371579 2021-05-27 00:31:47.863: INFO @log_variables: train age_loss mean: 1.069904 2021-05-27 00:31:47.863: INFO @log_variables: train gender_loss mean: 0.435355 2021-05-27 00:31:47.863: INFO @log_variables: train age_mae mean: 11.754225 2021-05-27 00:31:47.863: INFO @log_variables: train gender_accuracy mean: 0.794199 2021-05-27 00:31:47.863: INFO @log_variables: train artificial_age_loss mean: 0.215996 2021-05-27 00:31:47.863: INFO @log_variables: train gender_confidence/loss nanmean: 0.073898 2021-05-27 00:31:47.863: INFO @log_variables: train gender_confidence/accuracy mean: 0.721354 2021-05-27 00:31:47.863: INFO @log_variables: train age_confidence/loss mean: 0.052518 2021-05-27 00:31:47.863: INFO @log_variables: train age_confidence/accuracy mean: 0.709346 2021-05-27 00:31:47.863: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:31:47.864: INFO @metrics_hook: train age_mae: 11.754 +-0.177 (13824) 2021-05-27 00:31:47.866: INFO @metrics_hook: train gender_accuracy: 0.794 +-0.007 (13824) 2021-05-27 00:31:50.242: INFO @decay_lr : LR updated to `0.00012108723` 2021-05-27 00:31:50.244: INFO @log_profile : T train: 18.172873 2021-05-27 00:31:50.244: INFO @log_profile : T read data: 0.307072 2021-05-27 00:31:50.244: INFO @log_profile : T hooks: 2.982147 2021-05-27 00:31:50.244: INFO @main_loop : Epoch 181 done 2021-05-27 00:31:50.244: INFO @main_loop : Training epoch 182 2021-05-27 00:32:09.413: INFO @log_variables: train loss nanmean: 1.367699 2021-05-27 00:32:09.413: INFO @log_variables: train age_loss mean: 1.070192 2021-05-27 00:32:09.413: INFO @log_variables: train gender_loss mean: 0.427008 2021-05-27 00:32:09.413: INFO @log_variables: train age_mae mean: 11.781484 2021-05-27 00:32:09.413: INFO @log_variables: train gender_accuracy mean: 0.797855 2021-05-27 00:32:09.413: INFO @log_variables: train artificial_age_loss mean: 0.217592 2021-05-27 00:32:09.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.073160 2021-05-27 00:32:09.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.718592 2021-05-27 00:32:09.413: INFO @log_variables: train age_confidence/loss mean: 0.052291 2021-05-27 00:32:09.413: INFO @log_variables: train age_confidence/accuracy mean: 0.711926 2021-05-27 00:32:09.413: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:32:09.415: INFO @metrics_hook: train age_mae: 11.781 +-0.177 (13802) 2021-05-27 00:32:09.416: INFO @metrics_hook: train gender_accuracy: 0.798 +-0.007 (13802) 2021-05-27 00:32:11.761: INFO @decay_lr : LR updated to `0.00012048179` 2021-05-27 00:32:11.762: INFO @log_profile : T train: 18.053722 2021-05-27 00:32:11.763: INFO @log_profile : T read data: 0.464945 2021-05-27 00:32:11.763: INFO @log_profile : T hooks: 2.947295 2021-05-27 00:32:11.763: INFO @main_loop : Epoch 182 done 2021-05-27 00:32:11.763: INFO @main_loop : Training epoch 183 2021-05-27 00:32:31.228: INFO @log_variables: train loss nanmean: 1.386489 2021-05-27 00:32:31.229: INFO @log_variables: train age_loss mean: 1.088149 2021-05-27 00:32:31.229: INFO @log_variables: train gender_loss mean: 0.425204 2021-05-27 00:32:31.229: INFO @log_variables: train age_mae mean: 11.928308 2021-05-27 00:32:31.229: INFO @log_variables: train gender_accuracy mean: 0.802373 2021-05-27 00:32:31.229: INFO @log_variables: train artificial_age_loss mean: 0.215401 2021-05-27 00:32:31.229: INFO @log_variables: train gender_confidence/loss nanmean: 0.073914 2021-05-27 00:32:31.229: INFO @log_variables: train gender_confidence/accuracy mean: 0.717448 2021-05-27 00:32:31.229: INFO @log_variables: train age_confidence/loss mean: 0.052278 2021-05-27 00:32:31.230: INFO @log_variables: train age_confidence/accuracy mean: 0.709057 2021-05-27 00:32:31.230: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:32:31.233: INFO @metrics_hook: train age_mae: 11.928 +-0.178 (13824) 2021-05-27 00:32:31.236: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13824) 2021-05-27 00:32:33.552: INFO @decay_lr : LR updated to `0.00011987938` 2021-05-27 00:32:33.554: INFO @log_profile : T train: 18.500369 2021-05-27 00:32:33.554: INFO @log_profile : T read data: 0.306682 2021-05-27 00:32:33.554: INFO @log_profile : T hooks: 2.931260 2021-05-27 00:32:33.555: INFO @main_loop : Epoch 183 done 2021-05-27 00:32:33.555: INFO @main_loop : Training epoch 184 2021-05-27 00:32:52.795: INFO @log_variables: train loss nanmean: 1.362635 2021-05-27 00:32:52.796: INFO @log_variables: train age_loss mean: 1.086638 2021-05-27 00:32:52.796: INFO @log_variables: train gender_loss mean: 0.426025 2021-05-27 00:32:52.796: INFO @log_variables: train age_mae mean: 11.933553 2021-05-27 00:32:52.796: INFO @log_variables: train gender_accuracy mean: 0.795211 2021-05-27 00:32:52.796: INFO @log_variables: train artificial_age_loss mean: 0.217355 2021-05-27 00:32:52.796: INFO @log_variables: train gender_confidence/loss nanmean: 0.072998 2021-05-27 00:32:52.796: INFO @log_variables: train gender_confidence/accuracy mean: 0.720631 2021-05-27 00:32:52.796: INFO @log_variables: train age_confidence/loss mean: 0.052456 2021-05-27 00:32:52.796: INFO @log_variables: train age_confidence/accuracy mean: 0.707610 2021-05-27 00:32:52.796: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:32:52.798: INFO @metrics_hook: train age_mae: 11.934 +-0.178 (13824) 2021-05-27 00:32:52.801: INFO @metrics_hook: train gender_accuracy: 0.795 +-0.007 (13824) 2021-05-27 00:32:55.167: INFO @decay_lr : LR updated to `0.00011927999` 2021-05-27 00:32:55.168: INFO @log_profile : T train: 18.289181 2021-05-27 00:32:55.168: INFO @log_profile : T read data: 0.305869 2021-05-27 00:32:55.168: INFO @log_profile : T hooks: 2.965047 2021-05-27 00:32:55.168: INFO @main_loop : Epoch 184 done 2021-05-27 00:32:55.168: INFO @main_loop : Training epoch 185 2021-05-27 00:33:14.338: INFO @log_variables: train loss nanmean: 1.371222 2021-05-27 00:33:14.338: INFO @log_variables: train age_loss mean: 1.072978 2021-05-27 00:33:14.338: INFO @log_variables: train gender_loss mean: 0.421632 2021-05-27 00:33:14.338: INFO @log_variables: train age_mae mean: 11.794654 2021-05-27 00:33:14.339: INFO @log_variables: train gender_accuracy mean: 0.800709 2021-05-27 00:33:14.339: INFO @log_variables: train artificial_age_loss mean: 0.216735 2021-05-27 00:33:14.339: INFO @log_variables: train gender_confidence/loss nanmean: 0.072614 2021-05-27 00:33:14.339: INFO @log_variables: train gender_confidence/accuracy mean: 0.721426 2021-05-27 00:33:14.339: INFO @log_variables: train age_confidence/loss mean: 0.052801 2021-05-27 00:33:14.339: INFO @log_variables: train age_confidence/accuracy mean: 0.700304 2021-05-27 00:33:14.339: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:33:14.340: INFO @metrics_hook: train age_mae: 11.795 +-0.178 (13824) 2021-05-27 00:33:14.342: INFO @metrics_hook: train gender_accuracy: 0.801 +-0.007 (13824) 2021-05-27 00:33:16.680: INFO @decay_lr : LR updated to `0.00011868359` 2021-05-27 00:33:16.681: INFO @log_profile : T train: 18.215336 2021-05-27 00:33:16.681: INFO @log_profile : T read data: 0.294897 2021-05-27 00:33:16.681: INFO @log_profile : T hooks: 2.950637 2021-05-27 00:33:16.681: INFO @main_loop : Epoch 185 done 2021-05-27 00:33:16.681: INFO @main_loop : Training epoch 186 2021-05-27 00:33:35.793: INFO @log_variables: train loss nanmean: 1.352315 2021-05-27 00:33:35.794: INFO @log_variables: train age_loss mean: 1.077801 2021-05-27 00:33:35.794: INFO @log_variables: train gender_loss mean: 0.420178 2021-05-27 00:33:35.794: INFO @log_variables: train age_mae mean: 11.806203 2021-05-27 00:33:35.794: INFO @log_variables: train gender_accuracy mean: 0.803362 2021-05-27 00:33:35.794: INFO @log_variables: train artificial_age_loss mean: 0.216595 2021-05-27 00:33:35.794: INFO @log_variables: train gender_confidence/loss nanmean: 0.073467 2021-05-27 00:33:35.794: INFO @log_variables: train gender_confidence/accuracy mean: 0.723518 2021-05-27 00:33:35.794: INFO @log_variables: train age_confidence/loss mean: 0.052228 2021-05-27 00:33:35.794: INFO @log_variables: train age_confidence/accuracy mean: 0.711491 2021-05-27 00:33:35.794: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:33:35.796: INFO @metrics_hook: train age_mae: 11.806 +-0.177 (13802) 2021-05-27 00:33:35.798: INFO @metrics_hook: train gender_accuracy: 0.803 +-0.007 (13802) 2021-05-27 00:33:38.083: INFO @decay_lr : LR updated to `0.00011809017` 2021-05-27 00:33:38.084: INFO @log_profile : T train: 17.991787 2021-05-27 00:33:38.084: INFO @log_profile : T read data: 0.467240 2021-05-27 00:33:38.084: INFO @log_profile : T hooks: 2.889033 2021-05-27 00:33:38.084: INFO @main_loop : Epoch 186 done 2021-05-27 00:33:38.084: INFO @main_loop : Training epoch 187 2021-05-27 00:33:57.343: INFO @log_variables: train loss nanmean: 1.361142 2021-05-27 00:33:57.343: INFO @log_variables: train age_loss mean: 1.075230 2021-05-27 00:33:57.343: INFO @log_variables: train gender_loss mean: 0.420867 2021-05-27 00:33:57.343: INFO @log_variables: train age_mae mean: 11.804973 2021-05-27 00:33:57.343: INFO @log_variables: train gender_accuracy mean: 0.807870 2021-05-27 00:33:57.343: INFO @log_variables: train artificial_age_loss mean: 0.218108 2021-05-27 00:33:57.343: INFO @log_variables: train gender_confidence/loss nanmean: 0.074411 2021-05-27 00:33:57.344: INFO @log_variables: train gender_confidence/accuracy mean: 0.719907 2021-05-27 00:33:57.344: INFO @log_variables: train age_confidence/loss mean: 0.051685 2021-05-27 00:33:57.344: INFO @log_variables: train age_confidence/accuracy mean: 0.715712 2021-05-27 00:33:57.344: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:33:57.347: INFO @metrics_hook: train age_mae: 11.805 +-0.176 (13824) 2021-05-27 00:33:57.350: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13824) 2021-05-27 00:33:59.647: INFO @decay_lr : LR updated to `0.000117499716` 2021-05-27 00:33:59.649: INFO @log_profile : T train: 18.307327 2021-05-27 00:33:59.649: INFO @log_profile : T read data: 0.297555 2021-05-27 00:33:59.649: INFO @log_profile : T hooks: 2.905959 2021-05-27 00:33:59.649: INFO @main_loop : Epoch 187 done 2021-05-27 00:33:59.649: INFO @main_loop : Training epoch 188 2021-05-27 00:34:19.159: INFO @log_variables: train loss nanmean: 1.326271 2021-05-27 00:34:19.159: INFO @log_variables: train age_loss mean: 1.056998 2021-05-27 00:34:19.159: INFO @log_variables: train gender_loss mean: 0.425669 2021-05-27 00:34:19.159: INFO @log_variables: train age_mae mean: 11.668688 2021-05-27 00:34:19.159: INFO @log_variables: train gender_accuracy mean: 0.800709 2021-05-27 00:34:19.159: INFO @log_variables: train artificial_age_loss mean: 0.213889 2021-05-27 00:34:19.159: INFO @log_variables: train gender_confidence/loss nanmean: 0.073773 2021-05-27 00:34:19.159: INFO @log_variables: train gender_confidence/accuracy mean: 0.723452 2021-05-27 00:34:19.159: INFO @log_variables: train age_confidence/loss mean: 0.052695 2021-05-27 00:34:19.159: INFO @log_variables: train age_confidence/accuracy mean: 0.705584 2021-05-27 00:34:19.159: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:34:19.161: INFO @metrics_hook: train age_mae: 11.669 +-0.177 (13824) 2021-05-27 00:34:19.163: INFO @metrics_hook: train gender_accuracy: 0.801 +-0.007 (13824) 2021-05-27 00:34:21.408: INFO @decay_lr : LR updated to `0.00011691222` 2021-05-27 00:34:21.409: INFO @log_profile : T train: 18.519146 2021-05-27 00:34:21.409: INFO @log_profile : T read data: 0.301727 2021-05-27 00:34:21.409: INFO @log_profile : T hooks: 2.885890 2021-05-27 00:34:21.409: INFO @main_loop : Epoch 188 done 2021-05-27 00:34:21.409: INFO @main_loop : Training epoch 189 2021-05-27 00:34:40.686: INFO @log_variables: train loss nanmean: 1.356233 2021-05-27 00:34:40.686: INFO @log_variables: train age_loss mean: 1.078983 2021-05-27 00:34:40.686: INFO @log_variables: train gender_loss mean: 0.423729 2021-05-27 00:34:40.687: INFO @log_variables: train age_mae mean: 11.843856 2021-05-27 00:34:40.687: INFO @log_variables: train gender_accuracy mean: 0.799334 2021-05-27 00:34:40.687: INFO @log_variables: train artificial_age_loss mean: 0.220563 2021-05-27 00:34:40.687: INFO @log_variables: train gender_confidence/loss nanmean: 0.072929 2021-05-27 00:34:40.687: INFO @log_variables: train gender_confidence/accuracy mean: 0.725333 2021-05-27 00:34:40.687: INFO @log_variables: train age_confidence/loss mean: 0.051948 2021-05-27 00:34:40.687: INFO @log_variables: train age_confidence/accuracy mean: 0.712240 2021-05-27 00:34:40.687: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:34:40.689: INFO @metrics_hook: train age_mae: 11.844 +-0.178 (13824) 2021-05-27 00:34:40.690: INFO @metrics_hook: train gender_accuracy: 0.799 +-0.007 (13824) 2021-05-27 00:34:42.994: INFO @decay_lr : LR updated to `0.00011632766` 2021-05-27 00:34:42.995: INFO @log_profile : T train: 18.307210 2021-05-27 00:34:42.995: INFO @log_profile : T read data: 0.321570 2021-05-27 00:34:42.995: INFO @log_profile : T hooks: 2.900762 2021-05-27 00:34:42.995: INFO @main_loop : Epoch 189 done 2021-05-27 00:34:42.995: INFO @main_loop : Training epoch 190 2021-05-27 00:35:02.084: INFO @log_variables: train loss nanmean: 1.353815 2021-05-27 00:35:02.084: INFO @log_variables: train age_loss mean: 1.056561 2021-05-27 00:35:02.084: INFO @log_variables: train gender_loss mean: 0.421298 2021-05-27 00:35:02.084: INFO @log_variables: train age_mae mean: 11.657534 2021-05-27 00:35:02.084: INFO @log_variables: train gender_accuracy mean: 0.799739 2021-05-27 00:35:02.084: INFO @log_variables: train artificial_age_loss mean: 0.215399 2021-05-27 00:35:02.085: INFO @log_variables: train gender_confidence/loss nanmean: 0.072398 2021-05-27 00:35:02.085: INFO @log_variables: train gender_confidence/accuracy mean: 0.726851 2021-05-27 00:35:02.085: INFO @log_variables: train age_confidence/loss mean: 0.052506 2021-05-27 00:35:02.085: INFO @log_variables: train age_confidence/accuracy mean: 0.709028 2021-05-27 00:35:02.085: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:35:02.087: INFO @metrics_hook: train age_mae: 11.658 +-0.177 (13802) 2021-05-27 00:35:02.089: INFO @metrics_hook: train gender_accuracy: 0.800 +-0.007 (13802) 2021-05-27 00:35:04.346: INFO @decay_lr : LR updated to `0.00011574602` 2021-05-27 00:35:04.347: INFO @log_profile : T train: 17.992277 2021-05-27 00:35:04.348: INFO @log_profile : T read data: 0.459512 2021-05-27 00:35:04.348: INFO @log_profile : T hooks: 2.848621 2021-05-27 00:35:04.348: INFO @main_loop : Epoch 190 done 2021-05-27 00:35:04.348: INFO @main_loop : Training epoch 191 2021-05-27 00:35:23.667: INFO @log_variables: train loss nanmean: 1.361913 2021-05-27 00:35:23.668: INFO @log_variables: train age_loss mean: 1.083928 2021-05-27 00:35:23.668: INFO @log_variables: train gender_loss mean: 0.414405 2021-05-27 00:35:23.668: INFO @log_variables: train age_mae mean: 11.872120 2021-05-27 00:35:23.668: INFO @log_variables: train gender_accuracy mean: 0.806496 2021-05-27 00:35:23.668: INFO @log_variables: train artificial_age_loss mean: 0.219228 2021-05-27 00:35:23.668: INFO @log_variables: train gender_confidence/loss nanmean: 0.072772 2021-05-27 00:35:23.668: INFO @log_variables: train gender_confidence/accuracy mean: 0.724320 2021-05-27 00:35:23.668: INFO @log_variables: train age_confidence/loss mean: 0.052574 2021-05-27 00:35:23.668: INFO @log_variables: train age_confidence/accuracy mean: 0.706308 2021-05-27 00:35:23.668: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:35:23.669: INFO @metrics_hook: train age_mae: 11.872 +-0.178 (13824) 2021-05-27 00:35:23.670: INFO @metrics_hook: train gender_accuracy: 0.806 +-0.007 (13824) 2021-05-27 00:35:25.909: INFO @decay_lr : LR updated to `0.00011516729` 2021-05-27 00:35:25.911: INFO @log_profile : T train: 18.365973 2021-05-27 00:35:25.911: INFO @log_profile : T read data: 0.297995 2021-05-27 00:35:25.911: INFO @log_profile : T hooks: 2.846350 2021-05-27 00:35:25.911: INFO @main_loop : Epoch 191 done 2021-05-27 00:35:25.911: INFO @main_loop : Training epoch 192 2021-05-27 00:35:45.252: INFO @log_variables: train loss nanmean: 1.327547 2021-05-27 00:35:45.252: INFO @log_variables: train age_loss mean: 1.045650 2021-05-27 00:35:45.252: INFO @log_variables: train gender_loss mean: 0.412477 2021-05-27 00:35:45.252: INFO @log_variables: train age_mae mean: 11.527260 2021-05-27 00:35:45.252: INFO @log_variables: train gender_accuracy mean: 0.809534 2021-05-27 00:35:45.252: INFO @log_variables: train artificial_age_loss mean: 0.217633 2021-05-27 00:35:45.252: INFO @log_variables: train gender_confidence/loss nanmean: 0.072554 2021-05-27 00:35:45.252: INFO @log_variables: train gender_confidence/accuracy mean: 0.728154 2021-05-27 00:35:45.252: INFO @log_variables: train age_confidence/loss mean: 0.053129 2021-05-27 00:35:45.253: INFO @log_variables: train age_confidence/accuracy mean: 0.700810 2021-05-27 00:35:45.253: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:35:45.255: INFO @metrics_hook: train age_mae: 11.527 +-0.173 (13824) 2021-05-27 00:35:45.258: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13824) 2021-05-27 00:35:47.544: INFO @decay_lr : LR updated to `0.00011459146` 2021-05-27 00:35:47.545: INFO @log_profile : T train: 18.373392 2021-05-27 00:35:47.545: INFO @log_profile : T read data: 0.297952 2021-05-27 00:35:47.545: INFO @log_profile : T hooks: 2.907810 2021-05-27 00:35:47.545: INFO @main_loop : Epoch 192 done 2021-05-27 00:35:47.545: INFO @main_loop : Training epoch 193 2021-05-27 00:36:06.302: INFO @log_variables: train loss nanmean: 1.330518 2021-05-27 00:36:06.303: INFO @log_variables: train age_loss mean: 1.061461 2021-05-27 00:36:06.303: INFO @log_variables: train gender_loss mean: 0.418136 2021-05-27 00:36:06.303: INFO @log_variables: train age_mae mean: 11.686348 2021-05-27 00:36:06.304: INFO @log_variables: train gender_accuracy mean: 0.804253 2021-05-27 00:36:06.304: INFO @log_variables: train artificial_age_loss mean: 0.215699 2021-05-27 00:36:06.304: INFO @log_variables: train gender_confidence/loss nanmean: 0.073064 2021-05-27 00:36:06.304: INFO @log_variables: train gender_confidence/accuracy mean: 0.722584 2021-05-27 00:36:06.304: INFO @log_variables: train age_confidence/loss mean: 0.052284 2021-05-27 00:36:06.304: INFO @log_variables: train age_confidence/accuracy mean: 0.708550 2021-05-27 00:36:06.304: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:36:06.306: INFO @metrics_hook: train age_mae: 11.686 +-0.177 (13824) 2021-05-27 00:36:06.308: INFO @metrics_hook: train gender_accuracy: 0.804 +-0.007 (13824) 2021-05-27 00:36:08.601: INFO @decay_lr : LR updated to `0.0001140185` 2021-05-27 00:36:08.603: INFO @log_profile : T train: 17.840724 2021-05-27 00:36:08.603: INFO @log_profile : T read data: 0.288253 2021-05-27 00:36:08.603: INFO @log_profile : T hooks: 2.877305 2021-05-27 00:36:08.603: INFO @main_loop : Epoch 193 done 2021-05-27 00:36:08.603: INFO @main_loop : Training epoch 194 2021-05-27 00:36:28.089: INFO @log_variables: train loss nanmean: 1.375883 2021-05-27 00:36:28.089: INFO @log_variables: train age_loss mean: 1.062286 2021-05-27 00:36:28.089: INFO @log_variables: train gender_loss mean: 0.426578 2021-05-27 00:36:28.089: INFO @log_variables: train age_mae mean: 11.663792 2021-05-27 00:36:28.089: INFO @log_variables: train gender_accuracy mean: 0.803144 2021-05-27 00:36:28.089: INFO @log_variables: train artificial_age_loss mean: 0.219080 2021-05-27 00:36:28.089: INFO @log_variables: train gender_confidence/loss nanmean: 0.074120 2021-05-27 00:36:28.089: INFO @log_variables: train gender_confidence/accuracy mean: 0.720765 2021-05-27 00:36:28.089: INFO @log_variables: train age_confidence/loss mean: 0.052423 2021-05-27 00:36:28.089: INFO @log_variables: train age_confidence/accuracy mean: 0.709318 2021-05-27 00:36:28.089: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:36:28.091: INFO @metrics_hook: train age_mae: 11.664 +-0.175 (13802) 2021-05-27 00:36:28.093: INFO @metrics_hook: train gender_accuracy: 0.803 +-0.007 (13802) 2021-05-27 00:36:30.465: INFO @decay_lr : LR updated to `0.000113448405` 2021-05-27 00:36:30.466: INFO @log_profile : T train: 18.396089 2021-05-27 00:36:30.466: INFO @log_profile : T read data: 0.436082 2021-05-27 00:36:30.466: INFO @log_profile : T hooks: 2.976213 2021-05-27 00:36:30.466: INFO @main_loop : Epoch 194 done 2021-05-27 00:36:30.466: INFO @main_loop : Training epoch 195 2021-05-27 00:36:49.824: INFO @log_variables: train loss nanmean: 1.346459 2021-05-27 00:36:49.824: INFO @log_variables: train age_loss mean: 1.070862 2021-05-27 00:36:49.824: INFO @log_variables: train gender_loss mean: 0.411932 2021-05-27 00:36:49.824: INFO @log_variables: train age_mae mean: 11.775305 2021-05-27 00:36:49.824: INFO @log_variables: train gender_accuracy mean: 0.808449 2021-05-27 00:36:49.824: INFO @log_variables: train artificial_age_loss mean: 0.214931 2021-05-27 00:36:49.824: INFO @log_variables: train gender_confidence/loss nanmean: 0.073221 2021-05-27 00:36:49.824: INFO @log_variables: train gender_confidence/accuracy mean: 0.726924 2021-05-27 00:36:49.824: INFO @log_variables: train age_confidence/loss mean: 0.052515 2021-05-27 00:36:49.824: INFO @log_variables: train age_confidence/accuracy mean: 0.706525 2021-05-27 00:36:49.825: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:36:49.826: INFO @metrics_hook: train age_mae: 11.775 +-0.178 (13824) 2021-05-27 00:36:49.827: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13824) 2021-05-27 00:36:52.087: INFO @decay_lr : LR updated to `0.000112881164` 2021-05-27 00:36:52.088: INFO @log_profile : T train: 18.400348 2021-05-27 00:36:52.089: INFO @log_profile : T read data: 0.298913 2021-05-27 00:36:52.089: INFO @log_profile : T hooks: 2.869199 2021-05-27 00:36:52.089: INFO @main_loop : Epoch 195 done 2021-05-27 00:36:52.089: INFO @main_loop : Training epoch 196 2021-05-27 00:37:11.404: INFO @log_variables: train loss nanmean: 1.327719 2021-05-27 00:37:11.404: INFO @log_variables: train age_loss mean: 1.037031 2021-05-27 00:37:11.404: INFO @log_variables: train gender_loss mean: 0.411885 2021-05-27 00:37:11.404: INFO @log_variables: train age_mae mean: 11.459977 2021-05-27 00:37:11.404: INFO @log_variables: train gender_accuracy mean: 0.807436 2021-05-27 00:37:11.405: INFO @log_variables: train artificial_age_loss mean: 0.213614 2021-05-27 00:37:11.405: INFO @log_variables: train gender_confidence/loss nanmean: 0.072612 2021-05-27 00:37:11.405: INFO @log_variables: train gender_confidence/accuracy mean: 0.727214 2021-05-27 00:37:11.405: INFO @log_variables: train age_confidence/loss mean: 0.052890 2021-05-27 00:37:11.405: INFO @log_variables: train age_confidence/accuracy mean: 0.701172 2021-05-27 00:37:11.405: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:37:11.406: INFO @metrics_hook: train age_mae: 11.460 +-0.173 (13824) 2021-05-27 00:37:11.408: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13824) 2021-05-27 00:37:13.682: INFO @decay_lr : LR updated to `0.00011231676` 2021-05-27 00:37:13.683: INFO @log_profile : T train: 18.338474 2021-05-27 00:37:13.684: INFO @log_profile : T read data: 0.306554 2021-05-27 00:37:13.684: INFO @log_profile : T hooks: 2.896883 2021-05-27 00:37:13.684: INFO @main_loop : Epoch 196 done 2021-05-27 00:37:13.684: INFO @main_loop : Training epoch 197 2021-05-27 00:37:32.955: INFO @log_variables: train loss nanmean: 1.316670 2021-05-27 00:37:32.956: INFO @log_variables: train age_loss mean: 1.046946 2021-05-27 00:37:32.956: INFO @log_variables: train gender_loss mean: 0.408210 2021-05-27 00:37:32.956: INFO @log_variables: train age_mae mean: 11.536040 2021-05-27 00:37:32.956: INFO @log_variables: train gender_accuracy mean: 0.807509 2021-05-27 00:37:32.956: INFO @log_variables: train artificial_age_loss mean: 0.214897 2021-05-27 00:37:32.956: INFO @log_variables: train gender_confidence/loss nanmean: 0.072188 2021-05-27 00:37:32.956: INFO @log_variables: train gender_confidence/accuracy mean: 0.733073 2021-05-27 00:37:32.956: INFO @log_variables: train age_confidence/loss mean: 0.052567 2021-05-27 00:37:32.956: INFO @log_variables: train age_confidence/accuracy mean: 0.703125 2021-05-27 00:37:32.956: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:37:32.959: INFO @metrics_hook: train age_mae: 11.536 +-0.174 (13824) 2021-05-27 00:37:32.960: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13824) 2021-05-27 00:37:35.158: INFO @decay_lr : LR updated to `0.00011175518` 2021-05-27 00:37:35.159: INFO @log_profile : T train: 18.307204 2021-05-27 00:37:35.159: INFO @log_profile : T read data: 0.301533 2021-05-27 00:37:35.159: INFO @log_profile : T hooks: 2.813798 2021-05-27 00:37:35.159: INFO @main_loop : Epoch 197 done 2021-05-27 00:37:35.159: INFO @main_loop : Training epoch 198 2021-05-27 00:37:54.632: INFO @log_variables: train loss nanmean: 1.352713 2021-05-27 00:37:54.632: INFO @log_variables: train age_loss mean: 1.047979 2021-05-27 00:37:54.632: INFO @log_variables: train gender_loss mean: 0.425929 2021-05-27 00:37:54.632: INFO @log_variables: train age_mae mean: 11.593452 2021-05-27 00:37:54.632: INFO @log_variables: train gender_accuracy mean: 0.802695 2021-05-27 00:37:54.632: INFO @log_variables: train artificial_age_loss mean: 0.215744 2021-05-27 00:37:54.633: INFO @log_variables: train gender_confidence/loss nanmean: 0.074419 2021-05-27 00:37:54.633: INFO @log_variables: train gender_confidence/accuracy mean: 0.713282 2021-05-27 00:37:54.633: INFO @log_variables: train age_confidence/loss mean: 0.053233 2021-05-27 00:37:54.633: INFO @log_variables: train age_confidence/accuracy mean: 0.702703 2021-05-27 00:37:54.633: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:37:54.635: INFO @metrics_hook: train age_mae: 11.593 +-0.176 (13801) 2021-05-27 00:37:54.637: INFO @metrics_hook: train gender_accuracy: 0.803 +-0.007 (13801) 2021-05-27 00:37:56.838: INFO @decay_lr : LR updated to `0.0001111964` 2021-05-27 00:37:56.840: INFO @log_profile : T train: 18.368528 2021-05-27 00:37:56.840: INFO @log_profile : T read data: 0.446270 2021-05-27 00:37:56.840: INFO @log_profile : T hooks: 2.811893 2021-05-27 00:37:56.840: INFO @main_loop : Epoch 198 done 2021-05-27 00:37:56.840: INFO @main_loop : Training epoch 199 2021-05-27 00:38:15.771: INFO @log_variables: train loss nanmean: 1.346816 2021-05-27 00:38:15.771: INFO @log_variables: train age_loss mean: 1.041945 2021-05-27 00:38:15.771: INFO @log_variables: train gender_loss mean: 0.418953 2021-05-27 00:38:15.771: INFO @log_variables: train age_mae mean: 11.489179 2021-05-27 00:38:15.772: INFO @log_variables: train gender_accuracy mean: 0.805049 2021-05-27 00:38:15.772: INFO @log_variables: train artificial_age_loss mean: 0.217934 2021-05-27 00:38:15.772: INFO @log_variables: train gender_confidence/loss nanmean: 0.073595 2021-05-27 00:38:15.772: INFO @log_variables: train gender_confidence/accuracy mean: 0.726273 2021-05-27 00:38:15.772: INFO @log_variables: train age_confidence/loss mean: 0.053428 2021-05-27 00:38:15.772: INFO @log_variables: train age_confidence/accuracy mean: 0.695819 2021-05-27 00:38:15.772: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:38:15.773: INFO @metrics_hook: train age_mae: 11.489 +-0.174 (13824) 2021-05-27 00:38:15.775: INFO @metrics_hook: train gender_accuracy: 0.805 +-0.007 (13824) 2021-05-27 00:38:18.111: INFO @decay_lr : LR updated to `0.000110640416` 2021-05-27 00:38:18.112: INFO @log_profile : T train: 17.969154 2021-05-27 00:38:18.113: INFO @log_profile : T read data: 0.313035 2021-05-27 00:38:18.113: INFO @log_profile : T hooks: 2.936122 2021-05-27 00:38:18.113: INFO @main_loop : Epoch 199 done 2021-05-27 00:38:18.113: INFO @main_loop : Training epoch 200 2021-05-27 00:38:37.380: INFO @log_variables: train loss nanmean: 1.331777 2021-05-27 00:38:37.381: INFO @log_variables: train age_loss mean: 1.043952 2021-05-27 00:38:37.381: INFO @log_variables: train gender_loss mean: 0.413695 2021-05-27 00:38:37.381: INFO @log_variables: train age_mae mean: 11.534460 2021-05-27 00:38:37.381: INFO @log_variables: train gender_accuracy mean: 0.809824 2021-05-27 00:38:37.381: INFO @log_variables: train artificial_age_loss mean: 0.215934 2021-05-27 00:38:37.381: INFO @log_variables: train gender_confidence/loss nanmean: 0.073912 2021-05-27 00:38:37.381: INFO @log_variables: train gender_confidence/accuracy mean: 0.723090 2021-05-27 00:38:37.381: INFO @log_variables: train age_confidence/loss mean: 0.052829 2021-05-27 00:38:37.381: INFO @log_variables: train age_confidence/accuracy mean: 0.702908 2021-05-27 00:38:37.381: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:38:37.383: INFO @metrics_hook: train age_mae: 11.534 +-0.175 (13824) 2021-05-27 00:38:37.384: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13824) 2021-05-27 00:38:39.746: INFO @decay_lr : LR updated to `0.00011008721` 2021-05-27 00:38:39.747: WARNING @module_wrapper: From /home/kopalja/.local/lib/python3.8/site-packages/emloop_tensorflow/model.py:306: The name tf.train.write_graph is deprecated. Please use tf.io.write_graph instead. 2021-05-27 00:38:40.193: INFO @save : Model saved to: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE/model_200.ckpt 2021-05-27 00:38:40.218: INFO @log_profile : T train: 18.332002 2021-05-27 00:38:40.218: INFO @log_profile : T read data: 0.296073 2021-05-27 00:38:40.218: INFO @log_profile : T hooks: 3.424736 2021-05-27 00:38:40.218: INFO @main_loop : Epoch 200 done 2021-05-27 00:38:40.218: INFO @main_loop : Training epoch 201 2021-05-27 00:38:59.554: INFO @log_variables: train loss nanmean: 1.324569 2021-05-27 00:38:59.555: INFO @log_variables: train age_loss mean: 1.048716 2021-05-27 00:38:59.555: INFO @log_variables: train gender_loss mean: 0.413277 2021-05-27 00:38:59.555: INFO @log_variables: train age_mae mean: 11.553493 2021-05-27 00:38:59.555: INFO @log_variables: train gender_accuracy mean: 0.810185 2021-05-27 00:38:59.555: INFO @log_variables: train artificial_age_loss mean: 0.216423 2021-05-27 00:38:59.555: INFO @log_variables: train gender_confidence/loss nanmean: 0.073926 2021-05-27 00:38:59.555: INFO @log_variables: train gender_confidence/accuracy mean: 0.723235 2021-05-27 00:38:59.555: INFO @log_variables: train age_confidence/loss mean: 0.052286 2021-05-27 00:38:59.555: INFO @log_variables: train age_confidence/accuracy mean: 0.708406 2021-05-27 00:38:59.555: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:38:59.557: INFO @metrics_hook: train age_mae: 11.553 +-0.172 (13824) 2021-05-27 00:38:59.559: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13824) 2021-05-27 00:39:01.913: INFO @decay_lr : LR updated to `0.00010953678` 2021-05-27 00:39:01.914: INFO @log_profile : T train: 18.388865 2021-05-27 00:39:01.914: INFO @log_profile : T read data: 0.300065 2021-05-27 00:39:01.914: INFO @log_profile : T hooks: 2.954468 2021-05-27 00:39:01.914: INFO @main_loop : Epoch 201 done 2021-05-27 00:39:01.914: INFO @main_loop : Training epoch 202 2021-05-27 00:39:21.419: INFO @log_variables: train loss nanmean: 1.322416 2021-05-27 00:39:21.420: INFO @log_variables: train age_loss mean: 1.040019 2021-05-27 00:39:21.420: INFO @log_variables: train gender_loss mean: 0.417883 2021-05-27 00:39:21.420: INFO @log_variables: train age_mae mean: 11.491129 2021-05-27 00:39:21.420: INFO @log_variables: train gender_accuracy mean: 0.808434 2021-05-27 00:39:21.420: INFO @log_variables: train artificial_age_loss mean: 0.213072 2021-05-27 00:39:21.420: INFO @log_variables: train gender_confidence/loss nanmean: 0.074355 2021-05-27 00:39:21.420: INFO @log_variables: train gender_confidence/accuracy mean: 0.723736 2021-05-27 00:39:21.420: INFO @log_variables: train age_confidence/loss mean: 0.052584 2021-05-27 00:39:21.420: INFO @log_variables: train age_confidence/accuracy mean: 0.706927 2021-05-27 00:39:21.420: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:39:21.422: INFO @metrics_hook: train age_mae: 11.491 +-0.174 (13802) 2021-05-27 00:39:21.424: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13802) 2021-05-27 00:39:23.656: INFO @decay_lr : LR updated to `0.000108989094` 2021-05-27 00:39:23.657: INFO @log_profile : T train: 18.382354 2021-05-27 00:39:23.657: INFO @log_profile : T read data: 0.451610 2021-05-27 00:39:23.657: INFO @log_profile : T hooks: 2.852971 2021-05-27 00:39:23.657: INFO @main_loop : Epoch 202 done 2021-05-27 00:39:23.658: INFO @main_loop : Training epoch 203 2021-05-27 00:39:43.033: INFO @log_variables: train loss nanmean: 1.326886 2021-05-27 00:39:43.033: INFO @log_variables: train age_loss mean: 1.045983 2021-05-27 00:39:43.033: INFO @log_variables: train gender_loss mean: 0.410760 2021-05-27 00:39:43.033: INFO @log_variables: train age_mae mean: 11.546149 2021-05-27 00:39:43.034: INFO @log_variables: train gender_accuracy mean: 0.810909 2021-05-27 00:39:43.034: INFO @log_variables: train artificial_age_loss mean: 0.214348 2021-05-27 00:39:43.034: INFO @log_variables: train gender_confidence/loss nanmean: 0.073512 2021-05-27 00:39:43.034: INFO @log_variables: train gender_confidence/accuracy mean: 0.727937 2021-05-27 00:39:43.034: INFO @log_variables: train age_confidence/loss mean: 0.052937 2021-05-27 00:39:43.034: INFO @log_variables: train age_confidence/accuracy mean: 0.704933 2021-05-27 00:39:43.034: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:39:43.036: INFO @metrics_hook: train age_mae: 11.546 +-0.174 (13824) 2021-05-27 00:39:43.038: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13824) 2021-05-27 00:39:45.320: INFO @decay_lr : LR updated to `0.00010844415` 2021-05-27 00:39:45.321: INFO @log_profile : T train: 18.383919 2021-05-27 00:39:45.321: INFO @log_profile : T read data: 0.318955 2021-05-27 00:39:45.321: INFO @log_profile : T hooks: 2.906692 2021-05-27 00:39:45.322: INFO @main_loop : Epoch 203 done 2021-05-27 00:39:45.322: INFO @main_loop : Training epoch 204 2021-05-27 00:40:04.275: INFO @log_variables: train loss nanmean: 1.350451 2021-05-27 00:40:04.275: INFO @log_variables: train age_loss mean: 1.045222 2021-05-27 00:40:04.276: INFO @log_variables: train gender_loss mean: 0.416573 2021-05-27 00:40:04.276: INFO @log_variables: train age_mae mean: 11.541760 2021-05-27 00:40:04.276: INFO @log_variables: train gender_accuracy mean: 0.807075 2021-05-27 00:40:04.276: INFO @log_variables: train artificial_age_loss mean: 0.215104 2021-05-27 00:40:04.276: INFO @log_variables: train gender_confidence/loss nanmean: 0.073196 2021-05-27 00:40:04.276: INFO @log_variables: train gender_confidence/accuracy mean: 0.729384 2021-05-27 00:40:04.276: INFO @log_variables: train age_confidence/loss mean: 0.052918 2021-05-27 00:40:04.276: INFO @log_variables: train age_confidence/accuracy mean: 0.706453 2021-05-27 00:40:04.276: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:40:04.278: INFO @metrics_hook: train age_mae: 11.542 +-0.175 (13824) 2021-05-27 00:40:04.281: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13824) 2021-05-27 00:40:06.631: INFO @decay_lr : LR updated to `0.00010790193` 2021-05-27 00:40:06.633: INFO @log_profile : T train: 17.984475 2021-05-27 00:40:06.633: INFO @log_profile : T read data: 0.300581 2021-05-27 00:40:06.633: INFO @log_profile : T hooks: 2.972403 2021-05-27 00:40:06.633: INFO @main_loop : Epoch 204 done 2021-05-27 00:40:06.634: INFO @main_loop : Training epoch 205 2021-05-27 00:40:26.138: INFO @log_variables: train loss nanmean: 1.334435 2021-05-27 00:40:26.139: INFO @log_variables: train age_loss mean: 1.049709 2021-05-27 00:40:26.139: INFO @log_variables: train gender_loss mean: 0.408934 2021-05-27 00:40:26.139: INFO @log_variables: train age_mae mean: 11.578458 2021-05-27 00:40:26.139: INFO @log_variables: train gender_accuracy mean: 0.811477 2021-05-27 00:40:26.139: INFO @log_variables: train artificial_age_loss mean: 0.214326 2021-05-27 00:40:26.139: INFO @log_variables: train gender_confidence/loss nanmean: 0.073153 2021-05-27 00:40:26.139: INFO @log_variables: train gender_confidence/accuracy mean: 0.734676 2021-05-27 00:40:26.139: INFO @log_variables: train age_confidence/loss mean: 0.052554 2021-05-27 00:40:26.139: INFO @log_variables: train age_confidence/accuracy mean: 0.705188 2021-05-27 00:40:26.139: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:40:26.141: INFO @metrics_hook: train age_mae: 11.578 +-0.175 (13802) 2021-05-27 00:40:26.143: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13802) 2021-05-27 00:40:28.462: INFO @decay_lr : LR updated to `0.000107362415` 2021-05-27 00:40:28.463: INFO @log_profile : T train: 18.381154 2021-05-27 00:40:28.463: INFO @log_profile : T read data: 0.449117 2021-05-27 00:40:28.463: INFO @log_profile : T hooks: 2.946462 2021-05-27 00:40:28.463: INFO @main_loop : Epoch 205 done 2021-05-27 00:40:28.463: INFO @main_loop : Training epoch 206 2021-05-27 00:40:47.755: INFO @log_variables: train loss nanmean: 1.321996 2021-05-27 00:40:47.756: INFO @log_variables: train age_loss mean: 1.041112 2021-05-27 00:40:47.756: INFO @log_variables: train gender_loss mean: 0.416729 2021-05-27 00:40:47.756: INFO @log_variables: train age_mae mean: 11.507329 2021-05-27 00:40:47.756: INFO @log_variables: train gender_accuracy mean: 0.802156 2021-05-27 00:40:47.756: INFO @log_variables: train artificial_age_loss mean: 0.214171 2021-05-27 00:40:47.756: INFO @log_variables: train gender_confidence/loss nanmean: 0.072687 2021-05-27 00:40:47.756: INFO @log_variables: train gender_confidence/accuracy mean: 0.722584 2021-05-27 00:40:47.756: INFO @log_variables: train age_confidence/loss mean: 0.053247 2021-05-27 00:40:47.756: INFO @log_variables: train age_confidence/accuracy mean: 0.701895 2021-05-27 00:40:47.756: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:40:47.758: INFO @metrics_hook: train age_mae: 11.507 +-0.177 (13824) 2021-05-27 00:40:47.761: INFO @metrics_hook: train gender_accuracy: 0.802 +-0.007 (13824) 2021-05-27 00:40:50.128: INFO @decay_lr : LR updated to `0.0001068256` 2021-05-27 00:40:50.130: INFO @log_profile : T train: 18.336433 2021-05-27 00:40:50.130: INFO @log_profile : T read data: 0.292061 2021-05-27 00:40:50.130: INFO @log_profile : T hooks: 2.985613 2021-05-27 00:40:50.130: INFO @main_loop : Epoch 206 done 2021-05-27 00:40:50.130: INFO @main_loop : Training epoch 207 2021-05-27 00:41:09.333: INFO @log_variables: train loss nanmean: 1.316100 2021-05-27 00:41:09.333: INFO @log_variables: train age_loss mean: 1.061738 2021-05-27 00:41:09.333: INFO @log_variables: train gender_loss mean: 0.399388 2021-05-27 00:41:09.333: INFO @log_variables: train age_mae mean: 11.674864 2021-05-27 00:41:09.334: INFO @log_variables: train gender_accuracy mean: 0.815900 2021-05-27 00:41:09.334: INFO @log_variables: train artificial_age_loss mean: 0.213768 2021-05-27 00:41:09.334: INFO @log_variables: train gender_confidence/loss nanmean: 0.072768 2021-05-27 00:41:09.334: INFO @log_variables: train gender_confidence/accuracy mean: 0.733507 2021-05-27 00:41:09.334: INFO @log_variables: train age_confidence/loss mean: 0.052661 2021-05-27 00:41:09.334: INFO @log_variables: train age_confidence/accuracy mean: 0.708478 2021-05-27 00:41:09.334: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:41:09.335: INFO @metrics_hook: train age_mae: 11.675 +-0.178 (13824) 2021-05-27 00:41:09.336: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13824) 2021-05-27 00:41:11.554: INFO @decay_lr : LR updated to `0.000106291474` 2021-05-27 00:41:11.556: INFO @log_profile : T train: 18.220825 2021-05-27 00:41:11.556: INFO @log_profile : T read data: 0.307125 2021-05-27 00:41:11.556: INFO @log_profile : T hooks: 2.844773 2021-05-27 00:41:11.556: INFO @main_loop : Epoch 207 done 2021-05-27 00:41:11.556: INFO @main_loop : Training epoch 208 2021-05-27 00:41:30.887: INFO @log_variables: train loss nanmean: 1.333855 2021-05-27 00:41:30.888: INFO @log_variables: train age_loss mean: 1.048255 2021-05-27 00:41:30.888: INFO @log_variables: train gender_loss mean: 0.404619 2021-05-27 00:41:30.888: INFO @log_variables: train age_mae mean: 11.563457 2021-05-27 00:41:30.888: INFO @log_variables: train gender_accuracy mean: 0.812848 2021-05-27 00:41:30.888: INFO @log_variables: train artificial_age_loss mean: 0.216717 2021-05-27 00:41:30.888: INFO @log_variables: train gender_confidence/loss nanmean: 0.073044 2021-05-27 00:41:30.889: INFO @log_variables: train gender_confidence/accuracy mean: 0.729798 2021-05-27 00:41:30.889: INFO @log_variables: train age_confidence/loss mean: 0.053173 2021-05-27 00:41:30.889: INFO @log_variables: train age_confidence/accuracy mean: 0.701006 2021-05-27 00:41:30.889: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:41:30.892: INFO @metrics_hook: train age_mae: 11.563 +-0.175 (13823) 2021-05-27 00:41:30.895: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13823) 2021-05-27 00:41:33.298: INFO @decay_lr : LR updated to `0.00010576002` 2021-05-27 00:41:33.299: INFO @log_profile : T train: 18.343436 2021-05-27 00:41:33.300: INFO @log_profile : T read data: 0.305447 2021-05-27 00:41:33.300: INFO @log_profile : T hooks: 3.040313 2021-05-27 00:41:33.300: INFO @main_loop : Epoch 208 done 2021-05-27 00:41:33.300: INFO @main_loop : Training epoch 209 2021-05-27 00:41:52.714: INFO @log_variables: train loss nanmean: 1.323312 2021-05-27 00:41:52.714: INFO @log_variables: train age_loss mean: 1.060928 2021-05-27 00:41:52.714: INFO @log_variables: train gender_loss mean: 0.406587 2021-05-27 00:41:52.714: INFO @log_variables: train age_mae mean: 11.670844 2021-05-27 00:41:52.714: INFO @log_variables: train gender_accuracy mean: 0.814375 2021-05-27 00:41:52.714: INFO @log_variables: train artificial_age_loss mean: 0.216775 2021-05-27 00:41:52.714: INFO @log_variables: train gender_confidence/loss nanmean: 0.073246 2021-05-27 00:41:52.714: INFO @log_variables: train gender_confidence/accuracy mean: 0.730039 2021-05-27 00:41:52.714: INFO @log_variables: train age_confidence/loss mean: 0.052743 2021-05-27 00:41:52.714: INFO @log_variables: train age_confidence/accuracy mean: 0.705405 2021-05-27 00:41:52.715: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:41:52.717: INFO @metrics_hook: train age_mae: 11.671 +-0.176 (13802) 2021-05-27 00:41:52.719: INFO @metrics_hook: train gender_accuracy: 0.814 +-0.007 (13802) 2021-05-27 00:41:55.082: INFO @decay_lr : LR updated to `0.000105231215` 2021-05-27 00:41:55.084: INFO @log_profile : T train: 18.307747 2021-05-27 00:41:55.084: INFO @log_profile : T read data: 0.452257 2021-05-27 00:41:55.084: INFO @log_profile : T hooks: 2.970019 2021-05-27 00:41:55.084: INFO @main_loop : Epoch 209 done 2021-05-27 00:41:55.084: INFO @main_loop : Training epoch 210 2021-05-27 00:42:14.082: INFO @log_variables: train loss nanmean: 1.307440 2021-05-27 00:42:14.082: INFO @log_variables: train age_loss mean: 1.037260 2021-05-27 00:42:14.082: INFO @log_variables: train gender_loss mean: 0.412645 2021-05-27 00:42:14.082: INFO @log_variables: train age_mae mean: 11.476881 2021-05-27 00:42:14.082: INFO @log_variables: train gender_accuracy mean: 0.808594 2021-05-27 00:42:14.082: INFO @log_variables: train artificial_age_loss mean: 0.214072 2021-05-27 00:42:14.082: INFO @log_variables: train gender_confidence/loss nanmean: 0.072905 2021-05-27 00:42:14.082: INFO @log_variables: train gender_confidence/accuracy mean: 0.728660 2021-05-27 00:42:14.082: INFO @log_variables: train age_confidence/loss mean: 0.053363 2021-05-27 00:42:14.082: INFO @log_variables: train age_confidence/accuracy mean: 0.700231 2021-05-27 00:42:14.082: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:42:14.084: INFO @metrics_hook: train age_mae: 11.477 +-0.175 (13824) 2021-05-27 00:42:14.085: INFO @metrics_hook: train gender_accuracy: 0.809 +-0.007 (13824) 2021-05-27 00:42:16.385: INFO @decay_lr : LR updated to `0.00010470506` 2021-05-27 00:42:16.387: INFO @log_profile : T train: 18.045748 2021-05-27 00:42:16.387: INFO @log_profile : T read data: 0.298075 2021-05-27 00:42:16.387: INFO @log_profile : T hooks: 2.904604 2021-05-27 00:42:16.387: INFO @main_loop : Epoch 210 done 2021-05-27 00:42:16.387: INFO @main_loop : Training epoch 211 2021-05-27 00:42:35.766: INFO @log_variables: train loss nanmean: 1.317519 2021-05-27 00:42:35.766: INFO @log_variables: train age_loss mean: 1.042246 2021-05-27 00:42:35.766: INFO @log_variables: train gender_loss mean: 0.405376 2021-05-27 00:42:35.766: INFO @log_variables: train age_mae mean: 11.532007 2021-05-27 00:42:35.766: INFO @log_variables: train gender_accuracy mean: 0.814164 2021-05-27 00:42:35.766: INFO @log_variables: train artificial_age_loss mean: 0.214489 2021-05-27 00:42:35.766: INFO @log_variables: train gender_confidence/loss nanmean: 0.073115 2021-05-27 00:42:35.766: INFO @log_variables: train gender_confidence/accuracy mean: 0.731337 2021-05-27 00:42:35.766: INFO @log_variables: train age_confidence/loss mean: 0.053262 2021-05-27 00:42:35.766: INFO @log_variables: train age_confidence/accuracy mean: 0.700593 2021-05-27 00:42:35.766: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:42:35.768: INFO @metrics_hook: train age_mae: 11.532 +-0.175 (13824) 2021-05-27 00:42:35.769: INFO @metrics_hook: train gender_accuracy: 0.814 +-0.007 (13824) 2021-05-27 00:42:38.100: INFO @decay_lr : LR updated to `0.000104181534` 2021-05-27 00:42:38.101: INFO @log_profile : T train: 18.417625 2021-05-27 00:42:38.101: INFO @log_profile : T read data: 0.297145 2021-05-27 00:42:38.101: INFO @log_profile : T hooks: 2.944068 2021-05-27 00:42:38.101: INFO @main_loop : Epoch 211 done 2021-05-27 00:42:38.101: INFO @main_loop : Training epoch 212 2021-05-27 00:42:57.487: INFO @log_variables: train loss nanmean: 1.344518 2021-05-27 00:42:57.488: INFO @log_variables: train age_loss mean: 1.042570 2021-05-27 00:42:57.488: INFO @log_variables: train gender_loss mean: 0.414235 2021-05-27 00:42:57.488: INFO @log_variables: train age_mae mean: 11.527449 2021-05-27 00:42:57.488: INFO @log_variables: train gender_accuracy mean: 0.807870 2021-05-27 00:42:57.488: INFO @log_variables: train artificial_age_loss mean: 0.213149 2021-05-27 00:42:57.488: INFO @log_variables: train gender_confidence/loss nanmean: 0.073462 2021-05-27 00:42:57.488: INFO @log_variables: train gender_confidence/accuracy mean: 0.727286 2021-05-27 00:42:57.488: INFO @log_variables: train age_confidence/loss mean: 0.053387 2021-05-27 00:42:57.488: INFO @log_variables: train age_confidence/accuracy mean: 0.697121 2021-05-27 00:42:57.488: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:42:57.489: INFO @metrics_hook: train age_mae: 11.527 +-0.176 (13824) 2021-05-27 00:42:57.491: INFO @metrics_hook: train gender_accuracy: 0.808 +-0.007 (13824) 2021-05-27 00:42:59.871: INFO @decay_lr : LR updated to `0.000103660626` 2021-05-27 00:42:59.872: INFO @log_profile : T train: 18.416769 2021-05-27 00:42:59.872: INFO @log_profile : T read data: 0.304316 2021-05-27 00:42:59.872: INFO @log_profile : T hooks: 2.995911 2021-05-27 00:42:59.872: INFO @main_loop : Epoch 212 done 2021-05-27 00:42:59.872: INFO @main_loop : Training epoch 213 2021-05-27 00:43:19.244: INFO @log_variables: train loss nanmean: 1.322431 2021-05-27 00:43:19.246: INFO @log_variables: train age_loss mean: 1.055258 2021-05-27 00:43:19.247: INFO @log_variables: train gender_loss mean: 0.405653 2021-05-27 00:43:19.247: INFO @log_variables: train age_mae mean: 11.648124 2021-05-27 00:43:19.247: INFO @log_variables: train gender_accuracy mean: 0.810390 2021-05-27 00:43:19.247: INFO @log_variables: train artificial_age_loss mean: 0.214463 2021-05-27 00:43:19.247: INFO @log_variables: train gender_confidence/loss nanmean: 0.071914 2021-05-27 00:43:19.247: INFO @log_variables: train gender_confidence/accuracy mean: 0.734241 2021-05-27 00:43:19.247: INFO @log_variables: train age_confidence/loss mean: 0.053308 2021-05-27 00:43:19.247: INFO @log_variables: train age_confidence/accuracy mean: 0.701058 2021-05-27 00:43:19.247: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:43:19.250: INFO @metrics_hook: train age_mae: 11.648 +-0.177 (13802) 2021-05-27 00:43:19.251: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13802) 2021-05-27 00:43:21.625: INFO @decay_lr : LR updated to `0.00010314232` 2021-05-27 00:43:21.626: INFO @log_profile : T train: 18.286148 2021-05-27 00:43:21.627: INFO @log_profile : T read data: 0.438312 2021-05-27 00:43:21.627: INFO @log_profile : T hooks: 2.977612 2021-05-27 00:43:21.627: INFO @main_loop : Epoch 213 done 2021-05-27 00:43:21.627: INFO @main_loop : Training epoch 214 2021-05-27 00:43:40.973: INFO @log_variables: train loss nanmean: 1.319769 2021-05-27 00:43:40.973: INFO @log_variables: train age_loss mean: 1.059566 2021-05-27 00:43:40.973: INFO @log_variables: train gender_loss mean: 0.406977 2021-05-27 00:43:40.973: INFO @log_variables: train age_mae mean: 11.654980 2021-05-27 00:43:40.973: INFO @log_variables: train gender_accuracy mean: 0.813296 2021-05-27 00:43:40.973: INFO @log_variables: train artificial_age_loss mean: 0.214001 2021-05-27 00:43:40.973: INFO @log_variables: train gender_confidence/loss nanmean: 0.073466 2021-05-27 00:43:40.973: INFO @log_variables: train gender_confidence/accuracy mean: 0.729239 2021-05-27 00:43:40.973: INFO @log_variables: train age_confidence/loss mean: 0.052533 2021-05-27 00:43:40.973: INFO @log_variables: train age_confidence/accuracy mean: 0.711299 2021-05-27 00:43:40.973: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:43:40.974: INFO @metrics_hook: train age_mae: 11.655 +-0.175 (13824) 2021-05-27 00:43:40.975: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13824) 2021-05-27 00:43:46.196: INFO @decay_lr : LR updated to `0.00010262661` 2021-05-27 00:43:46.197: INFO @log_profile : T train: 18.401196 2021-05-27 00:43:46.198: INFO @log_profile : T read data: 0.299324 2021-05-27 00:43:46.198: INFO @log_profile : T hooks: 5.817652 2021-05-27 00:43:46.198: INFO @main_loop : Epoch 214 done 2021-05-27 00:43:46.198: INFO @main_loop : Training epoch 215 2021-05-27 00:44:05.263: INFO @log_variables: train loss nanmean: 1.338319 2021-05-27 00:44:05.264: INFO @log_variables: train age_loss mean: 1.032802 2021-05-27 00:44:05.264: INFO @log_variables: train gender_loss mean: 0.410617 2021-05-27 00:44:05.264: INFO @log_variables: train age_mae mean: 11.415312 2021-05-27 00:44:05.265: INFO @log_variables: train gender_accuracy mean: 0.807436 2021-05-27 00:44:05.265: INFO @log_variables: train artificial_age_loss mean: 0.212729 2021-05-27 00:44:05.265: INFO @log_variables: train gender_confidence/loss nanmean: 0.072554 2021-05-27 00:44:05.265: INFO @log_variables: train gender_confidence/accuracy mean: 0.730541 2021-05-27 00:44:05.265: INFO @log_variables: train age_confidence/loss mean: 0.053029 2021-05-27 00:44:05.265: INFO @log_variables: train age_confidence/accuracy mean: 0.701100 2021-05-27 00:44:05.265: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:44:05.267: INFO @metrics_hook: train age_mae: 11.415 +-0.172 (13824) 2021-05-27 00:44:05.269: INFO @metrics_hook: train gender_accuracy: 0.807 +-0.007 (13824) 2021-05-27 00:44:07.641: INFO @decay_lr : LR updated to `0.00010211348` 2021-05-27 00:44:07.642: INFO @log_profile : T train: 18.100012 2021-05-27 00:44:07.642: INFO @log_profile : T read data: 0.294501 2021-05-27 00:44:07.642: INFO @log_profile : T hooks: 2.996909 2021-05-27 00:44:07.642: INFO @main_loop : Epoch 215 done 2021-05-27 00:44:07.642: INFO @main_loop : Training epoch 216 2021-05-27 00:44:27.000: INFO @log_variables: train loss nanmean: 1.302769 2021-05-27 00:44:27.001: INFO @log_variables: train age_loss mean: 1.032856 2021-05-27 00:44:27.001: INFO @log_variables: train gender_loss mean: 0.397009 2021-05-27 00:44:27.001: INFO @log_variables: train age_mae mean: 11.408904 2021-05-27 00:44:27.001: INFO @log_variables: train gender_accuracy mean: 0.817419 2021-05-27 00:44:27.001: INFO @log_variables: train artificial_age_loss mean: 0.212301 2021-05-27 00:44:27.001: INFO @log_variables: train gender_confidence/loss nanmean: 0.072293 2021-05-27 00:44:27.001: INFO @log_variables: train gender_confidence/accuracy mean: 0.734013 2021-05-27 00:44:27.001: INFO @log_variables: train age_confidence/loss mean: 0.052834 2021-05-27 00:44:27.001: INFO @log_variables: train age_confidence/accuracy mean: 0.702474 2021-05-27 00:44:27.001: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:44:27.002: INFO @metrics_hook: train age_mae: 11.409 +-0.172 (13824) 2021-05-27 00:44:27.003: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13824) 2021-05-27 00:44:29.280: INFO @decay_lr : LR updated to `0.00010160291` 2021-05-27 00:44:29.282: INFO @log_profile : T train: 18.380859 2021-05-27 00:44:29.282: INFO @log_profile : T read data: 0.305247 2021-05-27 00:44:29.282: INFO @log_profile : T hooks: 2.900306 2021-05-27 00:44:29.282: INFO @main_loop : Epoch 216 done 2021-05-27 00:44:29.282: INFO @main_loop : Training epoch 217 2021-05-27 00:44:48.741: INFO @log_variables: train loss nanmean: 1.330820 2021-05-27 00:44:48.741: INFO @log_variables: train age_loss mean: 1.038783 2021-05-27 00:44:48.741: INFO @log_variables: train gender_loss mean: 0.401957 2021-05-27 00:44:48.741: INFO @log_variables: train age_mae mean: 11.504354 2021-05-27 00:44:48.741: INFO @log_variables: train gender_accuracy mean: 0.815969 2021-05-27 00:44:48.741: INFO @log_variables: train artificial_age_loss mean: 0.215307 2021-05-27 00:44:48.741: INFO @log_variables: train gender_confidence/loss nanmean: 0.073004 2021-05-27 00:44:48.741: INFO @log_variables: train gender_confidence/accuracy mean: 0.730546 2021-05-27 00:44:48.742: INFO @log_variables: train age_confidence/loss mean: 0.052787 2021-05-27 00:44:48.742: INFO @log_variables: train age_confidence/accuracy mean: 0.706347 2021-05-27 00:44:48.742: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:44:48.744: INFO @metrics_hook: train age_mae: 11.504 +-0.173 (13802) 2021-05-27 00:44:48.745: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13802) 2021-05-27 00:44:50.992: INFO @decay_lr : LR updated to `0.0001010949` 2021-05-27 00:44:50.993: INFO @log_profile : T train: 18.332899 2021-05-27 00:44:50.994: INFO @log_profile : T read data: 0.476648 2021-05-27 00:44:50.994: INFO @log_profile : T hooks: 2.849787 2021-05-27 00:44:50.994: INFO @main_loop : Epoch 217 done 2021-05-27 00:44:50.994: INFO @main_loop : Training epoch 218 2021-05-27 00:45:10.316: INFO @log_variables: train loss nanmean: 1.313939 2021-05-27 00:45:10.316: INFO @log_variables: train age_loss mean: 1.047217 2021-05-27 00:45:10.317: INFO @log_variables: train gender_loss mean: 0.401917 2021-05-27 00:45:10.317: INFO @log_variables: train age_mae mean: 11.543103 2021-05-27 00:45:10.317: INFO @log_variables: train gender_accuracy mean: 0.818576 2021-05-27 00:45:10.317: INFO @log_variables: train artificial_age_loss mean: 0.215078 2021-05-27 00:45:10.317: INFO @log_variables: train gender_confidence/loss nanmean: 0.073547 2021-05-27 00:45:10.317: INFO @log_variables: train gender_confidence/accuracy mean: 0.733507 2021-05-27 00:45:10.317: INFO @log_variables: train age_confidence/loss mean: 0.052840 2021-05-27 00:45:10.317: INFO @log_variables: train age_confidence/accuracy mean: 0.702185 2021-05-27 00:45:10.317: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:45:10.318: INFO @metrics_hook: train age_mae: 11.543 +-0.175 (13824) 2021-05-27 00:45:10.320: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-05-27 00:45:12.716: INFO @decay_lr : LR updated to `0.00010058942` 2021-05-27 00:45:12.718: INFO @log_profile : T train: 18.353375 2021-05-27 00:45:12.718: INFO @log_profile : T read data: 0.307006 2021-05-27 00:45:12.718: INFO @log_profile : T hooks: 3.010407 2021-05-27 00:45:12.718: INFO @main_loop : Epoch 218 done 2021-05-27 00:45:12.718: INFO @main_loop : Training epoch 219 2021-05-27 00:45:32.061: INFO @log_variables: train loss nanmean: 1.301093 2021-05-27 00:45:32.061: INFO @log_variables: train age_loss mean: 1.044053 2021-05-27 00:45:32.061: INFO @log_variables: train gender_loss mean: 0.398865 2021-05-27 00:45:32.061: INFO @log_variables: train age_mae mean: 11.513267 2021-05-27 00:45:32.061: INFO @log_variables: train gender_accuracy mean: 0.814670 2021-05-27 00:45:32.062: INFO @log_variables: train artificial_age_loss mean: 0.215347 2021-05-27 00:45:32.062: INFO @log_variables: train gender_confidence/loss nanmean: 0.072281 2021-05-27 00:45:32.062: INFO @log_variables: train gender_confidence/accuracy mean: 0.730613 2021-05-27 00:45:32.062: INFO @log_variables: train age_confidence/loss mean: 0.052481 2021-05-27 00:45:32.062: INFO @log_variables: train age_confidence/accuracy mean: 0.708767 2021-05-27 00:45:32.062: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:45:32.064: INFO @metrics_hook: train age_mae: 11.513 +-0.174 (13824) 2021-05-27 00:45:32.067: INFO @metrics_hook: train gender_accuracy: 0.815 +-0.007 (13824) 2021-05-27 00:45:34.342: INFO @decay_lr : LR updated to `0.00010008647` 2021-05-27 00:45:34.343: INFO @log_profile : T train: 18.372015 2021-05-27 00:45:34.343: INFO @log_profile : T read data: 0.307736 2021-05-27 00:45:34.343: INFO @log_profile : T hooks: 2.892190 2021-05-27 00:45:34.343: INFO @main_loop : Epoch 219 done 2021-05-27 00:45:34.343: INFO @main_loop : Training epoch 220 2021-05-27 00:45:53.311: INFO @log_variables: train loss nanmean: 1.316318 2021-05-27 00:45:53.311: INFO @log_variables: train age_loss mean: 1.046660 2021-05-27 00:45:53.311: INFO @log_variables: train gender_loss mean: 0.407190 2021-05-27 00:45:53.311: INFO @log_variables: train age_mae mean: 11.551763 2021-05-27 00:45:53.311: INFO @log_variables: train gender_accuracy mean: 0.811632 2021-05-27 00:45:53.311: INFO @log_variables: train artificial_age_loss mean: 0.218745 2021-05-27 00:45:53.311: INFO @log_variables: train gender_confidence/loss nanmean: 0.073235 2021-05-27 00:45:53.311: INFO @log_variables: train gender_confidence/accuracy mean: 0.734954 2021-05-27 00:45:53.311: INFO @log_variables: train age_confidence/loss mean: 0.052753 2021-05-27 00:45:53.312: INFO @log_variables: train age_confidence/accuracy mean: 0.702980 2021-05-27 00:45:53.312: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:45:53.314: INFO @metrics_hook: train age_mae: 11.552 +-0.174 (13824) 2021-05-27 00:45:53.315: INFO @metrics_hook: train gender_accuracy: 0.812 +-0.007 (13824) 2021-05-27 00:45:55.629: INFO @decay_lr : LR updated to `9.958604e-05` 2021-05-27 00:45:55.631: INFO @log_profile : T train: 18.003836 2021-05-27 00:45:55.631: INFO @log_profile : T read data: 0.302502 2021-05-27 00:45:55.631: INFO @log_profile : T hooks: 2.927752 2021-05-27 00:45:55.631: INFO @main_loop : Epoch 220 done 2021-05-27 00:45:55.631: INFO @main_loop : Training epoch 221 2021-05-27 00:46:15.061: INFO @log_variables: train loss nanmean: 1.316821 2021-05-27 00:46:15.061: INFO @log_variables: train age_loss mean: 1.042550 2021-05-27 00:46:15.062: INFO @log_variables: train gender_loss mean: 0.413265 2021-05-27 00:46:15.062: INFO @log_variables: train age_mae mean: 11.521070 2021-05-27 00:46:15.062: INFO @log_variables: train gender_accuracy mean: 0.810290 2021-05-27 00:46:15.062: INFO @log_variables: train artificial_age_loss mean: 0.216009 2021-05-27 00:46:15.062: INFO @log_variables: train gender_confidence/loss nanmean: 0.073623 2021-05-27 00:46:15.062: INFO @log_variables: train gender_confidence/accuracy mean: 0.728768 2021-05-27 00:46:15.062: INFO @log_variables: train age_confidence/loss mean: 0.053027 2021-05-27 00:46:15.062: INFO @log_variables: train age_confidence/accuracy mean: 0.699855 2021-05-27 00:46:15.062: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:46:15.064: INFO @metrics_hook: train age_mae: 11.521 +-0.174 (13800) 2021-05-27 00:46:15.065: INFO @metrics_hook: train gender_accuracy: 0.810 +-0.007 (13800) 2021-05-27 00:46:17.325: INFO @decay_lr : LR updated to `9.908811e-05` 2021-05-27 00:46:17.326: INFO @log_profile : T train: 18.319083 2021-05-27 00:46:17.326: INFO @log_profile : T read data: 0.448091 2021-05-27 00:46:17.326: INFO @log_profile : T hooks: 2.875395 2021-05-27 00:46:17.326: INFO @main_loop : Epoch 221 done 2021-05-27 00:46:17.326: INFO @main_loop : Training epoch 222 2021-05-27 00:46:36.645: INFO @log_variables: train loss nanmean: 1.294044 2021-05-27 00:46:36.647: INFO @log_variables: train age_loss mean: 1.016866 2021-05-27 00:46:36.647: INFO @log_variables: train gender_loss mean: 0.404083 2021-05-27 00:46:36.648: INFO @log_variables: train age_mae mean: 11.270375 2021-05-27 00:46:36.648: INFO @log_variables: train gender_accuracy mean: 0.813151 2021-05-27 00:46:36.648: INFO @log_variables: train artificial_age_loss mean: 0.212695 2021-05-27 00:46:36.648: INFO @log_variables: train gender_confidence/loss nanmean: 0.073395 2021-05-27 00:46:36.648: INFO @log_variables: train gender_confidence/accuracy mean: 0.731554 2021-05-27 00:46:36.648: INFO @log_variables: train age_confidence/loss mean: 0.052949 2021-05-27 00:46:36.648: INFO @log_variables: train age_confidence/accuracy mean: 0.700159 2021-05-27 00:46:36.648: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:46:36.650: INFO @metrics_hook: train age_mae: 11.270 +-0.172 (13824) 2021-05-27 00:46:36.652: INFO @metrics_hook: train gender_accuracy: 0.813 +-0.007 (13824) 2021-05-27 00:46:38.892: INFO @decay_lr : LR updated to `9.859267e-05` 2021-05-27 00:46:38.893: INFO @log_profile : T train: 18.371838 2021-05-27 00:46:38.894: INFO @log_profile : T read data: 0.301481 2021-05-27 00:46:38.894: INFO @log_profile : T hooks: 2.840764 2021-05-27 00:46:38.894: INFO @main_loop : Epoch 222 done 2021-05-27 00:46:38.894: INFO @main_loop : Training epoch 223 2021-05-27 00:46:58.129: INFO @log_variables: train loss nanmean: 1.303390 2021-05-27 00:46:58.129: INFO @log_variables: train age_loss mean: 1.017480 2021-05-27 00:46:58.129: INFO @log_variables: train gender_loss mean: 0.394447 2021-05-27 00:46:58.129: INFO @log_variables: train age_mae mean: 11.283265 2021-05-27 00:46:58.130: INFO @log_variables: train gender_accuracy mean: 0.819372 2021-05-27 00:46:58.130: INFO @log_variables: train artificial_age_loss mean: 0.213757 2021-05-27 00:46:58.130: INFO @log_variables: train gender_confidence/loss nanmean: 0.073370 2021-05-27 00:46:58.130: INFO @log_variables: train gender_confidence/accuracy mean: 0.733507 2021-05-27 00:46:58.130: INFO @log_variables: train age_confidence/loss mean: 0.053752 2021-05-27 00:46:58.130: INFO @log_variables: train age_confidence/accuracy mean: 0.692781 2021-05-27 00:46:58.130: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:46:58.132: INFO @metrics_hook: train age_mae: 11.283 +-0.172 (13824) 2021-05-27 00:46:58.133: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-05-27 00:47:00.367: INFO @decay_lr : LR updated to `9.809971e-05` 2021-05-27 00:47:00.368: INFO @log_profile : T train: 18.263296 2021-05-27 00:47:00.368: INFO @log_profile : T read data: 0.305629 2021-05-27 00:47:00.368: INFO @log_profile : T hooks: 2.850430 2021-05-27 00:47:00.368: INFO @main_loop : Epoch 223 done 2021-05-27 00:47:00.368: INFO @main_loop : Training epoch 224 2021-05-27 00:47:19.690: INFO @log_variables: train loss nanmean: 1.321281 2021-05-27 00:47:19.690: INFO @log_variables: train age_loss mean: 1.043309 2021-05-27 00:47:19.691: INFO @log_variables: train gender_loss mean: 0.404226 2021-05-27 00:47:19.691: INFO @log_variables: train age_mae mean: 11.532964 2021-05-27 00:47:19.691: INFO @log_variables: train gender_accuracy mean: 0.813947 2021-05-27 00:47:19.691: INFO @log_variables: train artificial_age_loss mean: 0.214573 2021-05-27 00:47:19.691: INFO @log_variables: train gender_confidence/loss nanmean: 0.073018 2021-05-27 00:47:19.691: INFO @log_variables: train gender_confidence/accuracy mean: 0.728588 2021-05-27 00:47:19.691: INFO @log_variables: train age_confidence/loss mean: 0.052513 2021-05-27 00:47:19.691: INFO @log_variables: train age_confidence/accuracy mean: 0.711227 2021-05-27 00:47:19.691: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:47:19.693: INFO @metrics_hook: train age_mae: 11.533 +-0.174 (13824) 2021-05-27 00:47:19.695: INFO @metrics_hook: train gender_accuracy: 0.814 +-0.007 (13824) 2021-05-27 00:47:21.820: INFO @decay_lr : LR updated to `9.7609205e-05` 2021-05-27 00:47:21.822: INFO @log_profile : T train: 18.358168 2021-05-27 00:47:21.822: INFO @log_profile : T read data: 0.307685 2021-05-27 00:47:21.822: INFO @log_profile : T hooks: 2.736323 2021-05-27 00:47:21.822: INFO @main_loop : Epoch 224 done 2021-05-27 00:47:21.822: INFO @main_loop : Training epoch 225 2021-05-27 00:47:41.220: INFO @log_variables: train loss nanmean: 1.299317 2021-05-27 00:47:41.221: INFO @log_variables: train age_loss mean: 1.027230 2021-05-27 00:47:41.221: INFO @log_variables: train gender_loss mean: 0.392047 2021-05-27 00:47:41.221: INFO @log_variables: train age_mae mean: 11.387305 2021-05-27 00:47:41.221: INFO @log_variables: train gender_accuracy mean: 0.821185 2021-05-27 00:47:41.221: INFO @log_variables: train artificial_age_loss mean: 0.215850 2021-05-27 00:47:41.221: INFO @log_variables: train gender_confidence/loss nanmean: 0.072663 2021-05-27 00:47:41.221: INFO @log_variables: train gender_confidence/accuracy mean: 0.735908 2021-05-27 00:47:41.221: INFO @log_variables: train age_confidence/loss mean: 0.053041 2021-05-27 00:47:41.221: INFO @log_variables: train age_confidence/accuracy mean: 0.700840 2021-05-27 00:47:41.221: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:47:41.223: INFO @metrics_hook: train age_mae: 11.387 +-0.172 (13802) 2021-05-27 00:47:41.225: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13802) 2021-05-27 00:47:43.441: INFO @decay_lr : LR updated to `9.7121156e-05` 2021-05-27 00:47:43.442: INFO @log_profile : T train: 18.311077 2021-05-27 00:47:43.442: INFO @log_profile : T read data: 0.445606 2021-05-27 00:47:43.442: INFO @log_profile : T hooks: 2.808916 2021-05-27 00:47:43.442: INFO @main_loop : Epoch 225 done 2021-05-27 00:47:43.442: INFO @main_loop : Training epoch 226 2021-05-27 00:48:02.667: INFO @log_variables: train loss nanmean: 1.292876 2021-05-27 00:48:02.667: INFO @log_variables: train age_loss mean: 1.019875 2021-05-27 00:48:02.667: INFO @log_variables: train gender_loss mean: 0.402952 2021-05-27 00:48:02.667: INFO @log_variables: train age_mae mean: 11.298919 2021-05-27 00:48:02.667: INFO @log_variables: train gender_accuracy mean: 0.815828 2021-05-27 00:48:02.667: INFO @log_variables: train artificial_age_loss mean: 0.215201 2021-05-27 00:48:02.667: INFO @log_variables: train gender_confidence/loss nanmean: 0.073735 2021-05-27 00:48:02.667: INFO @log_variables: train gender_confidence/accuracy mean: 0.730469 2021-05-27 00:48:02.668: INFO @log_variables: train age_confidence/loss mean: 0.052950 2021-05-27 00:48:02.668: INFO @log_variables: train age_confidence/accuracy mean: 0.702257 2021-05-27 00:48:02.668: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:48:02.670: INFO @metrics_hook: train age_mae: 11.299 +-0.171 (13824) 2021-05-27 00:48:02.672: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13824) 2021-05-27 00:48:04.934: INFO @decay_lr : LR updated to `9.663555e-05` 2021-05-27 00:48:04.935: INFO @log_profile : T train: 18.243624 2021-05-27 00:48:04.935: INFO @log_profile : T read data: 0.314014 2021-05-27 00:48:04.935: INFO @log_profile : T hooks: 2.879834 2021-05-27 00:48:04.936: INFO @main_loop : Epoch 226 done 2021-05-27 00:48:04.936: INFO @main_loop : Training epoch 227 2021-05-27 00:48:24.230: INFO @log_variables: train loss nanmean: 1.320072 2021-05-27 00:48:24.230: INFO @log_variables: train age_loss mean: 1.041457 2021-05-27 00:48:24.230: INFO @log_variables: train gender_loss mean: 0.408232 2021-05-27 00:48:24.230: INFO @log_variables: train age_mae mean: 11.509608 2021-05-27 00:48:24.230: INFO @log_variables: train gender_accuracy mean: 0.811126 2021-05-27 00:48:24.230: INFO @log_variables: train artificial_age_loss mean: 0.214660 2021-05-27 00:48:24.230: INFO @log_variables: train gender_confidence/loss nanmean: 0.072948 2021-05-27 00:48:24.230: INFO @log_variables: train gender_confidence/accuracy mean: 0.725622 2021-05-27 00:48:24.230: INFO @log_variables: train age_confidence/loss mean: 0.053366 2021-05-27 00:48:24.230: INFO @log_variables: train age_confidence/accuracy mean: 0.697772 2021-05-27 00:48:24.231: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:48:24.233: INFO @metrics_hook: train age_mae: 11.510 +-0.174 (13824) 2021-05-27 00:48:24.234: INFO @metrics_hook: train gender_accuracy: 0.811 +-0.007 (13824) 2021-05-27 00:48:26.540: INFO @decay_lr : LR updated to `9.615238e-05` 2021-05-27 00:48:26.542: INFO @log_profile : T train: 18.320990 2021-05-27 00:48:26.542: INFO @log_profile : T read data: 0.309663 2021-05-27 00:48:26.542: INFO @log_profile : T hooks: 2.922591 2021-05-27 00:48:26.542: INFO @main_loop : Epoch 227 done 2021-05-27 00:48:26.542: INFO @main_loop : Training epoch 228 2021-05-27 00:48:45.749: INFO @log_variables: train loss nanmean: 1.304776 2021-05-27 00:48:45.749: INFO @log_variables: train age_loss mean: 1.031693 2021-05-27 00:48:45.749: INFO @log_variables: train gender_loss mean: 0.400726 2021-05-27 00:48:45.749: INFO @log_variables: train age_mae mean: 11.408504 2021-05-27 00:48:45.749: INFO @log_variables: train gender_accuracy mean: 0.815683 2021-05-27 00:48:45.749: INFO @log_variables: train artificial_age_loss mean: 0.216153 2021-05-27 00:48:45.749: INFO @log_variables: train gender_confidence/loss nanmean: 0.073263 2021-05-27 00:48:45.749: INFO @log_variables: train gender_confidence/accuracy mean: 0.729673 2021-05-27 00:48:45.750: INFO @log_variables: train age_confidence/loss mean: 0.053508 2021-05-27 00:48:45.750: INFO @log_variables: train age_confidence/accuracy mean: 0.694589 2021-05-27 00:48:45.750: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:48:45.752: INFO @metrics_hook: train age_mae: 11.409 +-0.173 (13824) 2021-05-27 00:48:45.754: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13824) 2021-05-27 00:48:47.951: INFO @decay_lr : LR updated to `9.567162e-05` 2021-05-27 00:48:47.952: INFO @log_profile : T train: 18.238380 2021-05-27 00:48:47.952: INFO @log_profile : T read data: 0.304872 2021-05-27 00:48:47.952: INFO @log_profile : T hooks: 2.813705 2021-05-27 00:48:47.953: INFO @main_loop : Epoch 228 done 2021-05-27 00:48:47.953: INFO @main_loop : Training epoch 229 2021-05-27 00:49:07.245: INFO @log_variables: train loss nanmean: 1.295150 2021-05-27 00:49:07.246: INFO @log_variables: train age_loss mean: 1.037884 2021-05-27 00:49:07.246: INFO @log_variables: train gender_loss mean: 0.395988 2021-05-27 00:49:07.246: INFO @log_variables: train age_mae mean: 11.477198 2021-05-27 00:49:07.246: INFO @log_variables: train gender_accuracy mean: 0.816766 2021-05-27 00:49:07.246: INFO @log_variables: train artificial_age_loss mean: 0.214483 2021-05-27 00:49:07.246: INFO @log_variables: train gender_confidence/loss nanmean: 0.072907 2021-05-27 00:49:07.246: INFO @log_variables: train gender_confidence/accuracy mean: 0.735908 2021-05-27 00:49:07.246: INFO @log_variables: train age_confidence/loss mean: 0.053131 2021-05-27 00:49:07.246: INFO @log_variables: train age_confidence/accuracy mean: 0.704391 2021-05-27 00:49:07.246: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:49:07.248: INFO @metrics_hook: train age_mae: 11.477 +-0.174 (13802) 2021-05-27 00:49:07.249: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13802) 2021-05-27 00:49:09.538: INFO @decay_lr : LR updated to `9.519326e-05` 2021-05-27 00:49:09.539: INFO @log_profile : T train: 18.185894 2021-05-27 00:49:09.539: INFO @log_profile : T read data: 0.464323 2021-05-27 00:49:09.539: INFO @log_profile : T hooks: 2.883783 2021-05-27 00:49:09.539: INFO @main_loop : Epoch 229 done 2021-05-27 00:49:09.539: INFO @main_loop : Training epoch 230 2021-05-27 00:49:28.870: INFO @log_variables: train loss nanmean: 1.291402 2021-05-27 00:49:28.870: INFO @log_variables: train age_loss mean: 1.030205 2021-05-27 00:49:28.870: INFO @log_variables: train gender_loss mean: 0.397179 2021-05-27 00:49:28.870: INFO @log_variables: train age_mae mean: 11.433694 2021-05-27 00:49:28.870: INFO @log_variables: train gender_accuracy mean: 0.818287 2021-05-27 00:49:28.870: INFO @log_variables: train artificial_age_loss mean: 0.211712 2021-05-27 00:49:28.870: INFO @log_variables: train gender_confidence/loss nanmean: 0.073351 2021-05-27 00:49:28.870: INFO @log_variables: train gender_confidence/accuracy mean: 0.730830 2021-05-27 00:49:28.870: INFO @log_variables: train age_confidence/loss mean: 0.053411 2021-05-27 00:49:28.871: INFO @log_variables: train age_confidence/accuracy mean: 0.694372 2021-05-27 00:49:28.871: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:49:28.873: INFO @metrics_hook: train age_mae: 11.434 +-0.175 (13824) 2021-05-27 00:49:28.875: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-05-27 00:49:31.149: INFO @decay_lr : LR updated to `9.4717296e-05` 2021-05-27 00:49:31.151: INFO @log_profile : T train: 18.352574 2021-05-27 00:49:31.151: INFO @log_profile : T read data: 0.313449 2021-05-27 00:49:31.151: INFO @log_profile : T hooks: 2.892222 2021-05-27 00:49:31.151: INFO @main_loop : Epoch 230 done 2021-05-27 00:49:31.151: INFO @main_loop : Training epoch 231 2021-05-27 00:49:50.406: INFO @log_variables: train loss nanmean: 1.282771 2021-05-27 00:49:50.407: INFO @log_variables: train age_loss mean: 1.029656 2021-05-27 00:49:50.407: INFO @log_variables: train gender_loss mean: 0.401626 2021-05-27 00:49:50.407: INFO @log_variables: train age_mae mean: 11.408251 2021-05-27 00:49:50.407: INFO @log_variables: train gender_accuracy mean: 0.817708 2021-05-27 00:49:50.407: INFO @log_variables: train artificial_age_loss mean: 0.213565 2021-05-27 00:49:50.407: INFO @log_variables: train gender_confidence/loss nanmean: 0.072722 2021-05-27 00:49:50.407: INFO @log_variables: train gender_confidence/accuracy mean: 0.737269 2021-05-27 00:49:50.407: INFO @log_variables: train age_confidence/loss mean: 0.053657 2021-05-27 00:49:50.407: INFO @log_variables: train age_confidence/accuracy mean: 0.696108 2021-05-27 00:49:50.407: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:49:50.409: INFO @metrics_hook: train age_mae: 11.408 +-0.174 (13824) 2021-05-27 00:49:50.411: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-05-27 00:49:52.749: INFO @decay_lr : LR updated to `9.424371e-05` 2021-05-27 00:49:52.751: INFO @log_profile : T train: 18.315153 2021-05-27 00:49:52.751: INFO @log_profile : T read data: 0.285846 2021-05-27 00:49:52.751: INFO @log_profile : T hooks: 2.946552 2021-05-27 00:49:52.751: INFO @main_loop : Epoch 231 done 2021-05-27 00:49:52.751: INFO @main_loop : Training epoch 232 2021-05-27 00:50:12.051: INFO @log_variables: train loss nanmean: 1.307735 2021-05-27 00:50:12.051: INFO @log_variables: train age_loss mean: 1.034712 2021-05-27 00:50:12.051: INFO @log_variables: train gender_loss mean: 0.400269 2021-05-27 00:50:12.051: INFO @log_variables: train age_mae mean: 11.438607 2021-05-27 00:50:12.051: INFO @log_variables: train gender_accuracy mean: 0.816680 2021-05-27 00:50:12.052: INFO @log_variables: train artificial_age_loss mean: 0.215758 2021-05-27 00:50:12.052: INFO @log_variables: train gender_confidence/loss nanmean: 0.073020 2021-05-27 00:50:12.052: INFO @log_variables: train gender_confidence/accuracy mean: 0.729295 2021-05-27 00:50:12.052: INFO @log_variables: train age_confidence/loss mean: 0.053482 2021-05-27 00:50:12.052: INFO @log_variables: train age_confidence/accuracy mean: 0.696471 2021-05-27 00:50:12.052: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:50:12.055: INFO @metrics_hook: train age_mae: 11.439 +-0.174 (13801) 2021-05-27 00:50:12.058: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13801) 2021-05-27 00:50:14.433: INFO @decay_lr : LR updated to `9.377249e-05` 2021-05-27 00:50:14.435: INFO @log_profile : T train: 18.193038 2021-05-27 00:50:14.435: INFO @log_profile : T read data: 0.450586 2021-05-27 00:50:14.435: INFO @log_profile : T hooks: 2.988171 2021-05-27 00:50:14.436: INFO @main_loop : Epoch 232 done 2021-05-27 00:50:14.436: INFO @main_loop : Training epoch 233 2021-05-27 00:50:33.762: INFO @log_variables: train loss nanmean: 1.285035 2021-05-27 00:50:33.762: INFO @log_variables: train age_loss mean: 1.008094 2021-05-27 00:50:33.762: INFO @log_variables: train gender_loss mean: 0.397968 2021-05-27 00:50:33.762: INFO @log_variables: train age_mae mean: 11.209352 2021-05-27 00:50:33.762: INFO @log_variables: train gender_accuracy mean: 0.819444 2021-05-27 00:50:33.762: INFO @log_variables: train artificial_age_loss mean: 0.211880 2021-05-27 00:50:33.762: INFO @log_variables: train gender_confidence/loss nanmean: 0.073338 2021-05-27 00:50:33.762: INFO @log_variables: train gender_confidence/accuracy mean: 0.731120 2021-05-27 00:50:33.762: INFO @log_variables: train age_confidence/loss mean: 0.054077 2021-05-27 00:50:33.762: INFO @log_variables: train age_confidence/accuracy mean: 0.692925 2021-05-27 00:50:33.762: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:50:33.763: INFO @metrics_hook: train age_mae: 11.209 +-0.174 (13824) 2021-05-27 00:50:33.765: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-05-27 00:50:36.175: INFO @decay_lr : LR updated to `9.330363e-05` 2021-05-27 00:50:36.176: INFO @log_profile : T train: 18.364734 2021-05-27 00:50:36.176: INFO @log_profile : T read data: 0.300563 2021-05-27 00:50:36.176: INFO @log_profile : T hooks: 3.022203 2021-05-27 00:50:36.176: INFO @main_loop : Epoch 233 done 2021-05-27 00:50:36.176: INFO @main_loop : Training epoch 234 2021-05-27 00:50:55.481: INFO @log_variables: train loss nanmean: 1.263631 2021-05-27 00:50:55.481: INFO @log_variables: train age_loss mean: 1.012667 2021-05-27 00:50:55.481: INFO @log_variables: train gender_loss mean: 0.382110 2021-05-27 00:50:55.481: INFO @log_variables: train age_mae mean: 11.223847 2021-05-27 00:50:55.481: INFO @log_variables: train gender_accuracy mean: 0.825666 2021-05-27 00:50:55.481: INFO @log_variables: train artificial_age_loss mean: 0.212960 2021-05-27 00:50:55.482: INFO @log_variables: train gender_confidence/loss nanmean: 0.072523 2021-05-27 00:50:55.482: INFO @log_variables: train gender_confidence/accuracy mean: 0.741753 2021-05-27 00:50:55.482: INFO @log_variables: train age_confidence/loss mean: 0.053720 2021-05-27 00:50:55.482: INFO @log_variables: train age_confidence/accuracy mean: 0.695819 2021-05-27 00:50:55.482: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:50:55.484: INFO @metrics_hook: train age_mae: 11.224 +-0.172 (13824) 2021-05-27 00:50:55.486: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-05-27 00:50:57.694: INFO @decay_lr : LR updated to `9.283711e-05` 2021-05-27 00:50:57.695: INFO @log_profile : T train: 18.328353 2021-05-27 00:50:57.695: INFO @log_profile : T read data: 0.314502 2021-05-27 00:50:57.695: INFO @log_profile : T hooks: 2.823174 2021-05-27 00:50:57.695: INFO @main_loop : Epoch 234 done 2021-05-27 00:50:57.695: INFO @main_loop : Training epoch 235 2021-05-27 00:51:16.974: INFO @log_variables: train loss nanmean: 1.312885 2021-05-27 00:51:16.975: INFO @log_variables: train age_loss mean: 1.040818 2021-05-27 00:51:16.975: INFO @log_variables: train gender_loss mean: 0.400121 2021-05-27 00:51:16.975: INFO @log_variables: train age_mae mean: 11.495536 2021-05-27 00:51:16.975: INFO @log_variables: train gender_accuracy mean: 0.816768 2021-05-27 00:51:16.975: INFO @log_variables: train artificial_age_loss mean: 0.213512 2021-05-27 00:51:16.975: INFO @log_variables: train gender_confidence/loss nanmean: 0.073248 2021-05-27 00:51:16.975: INFO @log_variables: train gender_confidence/accuracy mean: 0.728516 2021-05-27 00:51:16.975: INFO @log_variables: train age_confidence/loss mean: 0.052869 2021-05-27 00:51:16.975: INFO @log_variables: train age_confidence/accuracy mean: 0.704355 2021-05-27 00:51:16.975: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:51:16.977: INFO @metrics_hook: train age_mae: 11.496 +-0.176 (13824) 2021-05-27 00:51:16.979: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13824) 2021-05-27 00:51:19.304: INFO @decay_lr : LR updated to `9.2372924e-05` 2021-05-27 00:51:19.305: INFO @log_profile : T train: 18.318218 2021-05-27 00:51:19.306: INFO @log_profile : T read data: 0.306606 2021-05-27 00:51:19.306: INFO @log_profile : T hooks: 2.932706 2021-05-27 00:51:19.306: INFO @main_loop : Epoch 235 done 2021-05-27 00:51:19.306: INFO @main_loop : Training epoch 236 2021-05-27 00:51:38.745: INFO @log_variables: train loss nanmean: 1.297691 2021-05-27 00:51:38.745: INFO @log_variables: train age_loss mean: 1.033408 2021-05-27 00:51:38.745: INFO @log_variables: train gender_loss mean: 0.398648 2021-05-27 00:51:38.745: INFO @log_variables: train age_mae mean: 11.444763 2021-05-27 00:51:38.745: INFO @log_variables: train gender_accuracy mean: 0.816693 2021-05-27 00:51:38.745: INFO @log_variables: train artificial_age_loss mean: 0.214188 2021-05-27 00:51:38.745: INFO @log_variables: train gender_confidence/loss nanmean: 0.072246 2021-05-27 00:51:38.745: INFO @log_variables: train gender_confidence/accuracy mean: 0.736632 2021-05-27 00:51:38.746: INFO @log_variables: train age_confidence/loss mean: 0.052950 2021-05-27 00:51:38.746: INFO @log_variables: train age_confidence/accuracy mean: 0.702942 2021-05-27 00:51:38.746: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:51:38.747: INFO @metrics_hook: train age_mae: 11.445 +-0.173 (13802) 2021-05-27 00:51:38.748: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13802) 2021-05-27 00:51:40.938: INFO @decay_lr : LR updated to `9.191106e-05` 2021-05-27 00:51:40.939: INFO @log_profile : T train: 18.317749 2021-05-27 00:51:40.939: INFO @log_profile : T read data: 0.456763 2021-05-27 00:51:40.939: INFO @log_profile : T hooks: 2.806185 2021-05-27 00:51:40.939: INFO @main_loop : Epoch 236 done 2021-05-27 00:51:40.939: INFO @main_loop : Training epoch 237 2021-05-27 00:52:00.206: INFO @log_variables: train loss nanmean: 1.279495 2021-05-27 00:52:00.206: INFO @log_variables: train age_loss mean: 1.012414 2021-05-27 00:52:00.206: INFO @log_variables: train gender_loss mean: 0.391503 2021-05-27 00:52:00.206: INFO @log_variables: train age_mae mean: 11.209496 2021-05-27 00:52:00.206: INFO @log_variables: train gender_accuracy mean: 0.822193 2021-05-27 00:52:00.206: INFO @log_variables: train artificial_age_loss mean: 0.211641 2021-05-27 00:52:00.207: INFO @log_variables: train gender_confidence/loss nanmean: 0.072561 2021-05-27 00:52:00.207: INFO @log_variables: train gender_confidence/accuracy mean: 0.736328 2021-05-27 00:52:00.207: INFO @log_variables: train age_confidence/loss mean: 0.053474 2021-05-27 00:52:00.207: INFO @log_variables: train age_confidence/accuracy mean: 0.695312 2021-05-27 00:52:00.207: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:52:00.208: INFO @metrics_hook: train age_mae: 11.209 +-0.170 (13824) 2021-05-27 00:52:00.209: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-05-27 00:52:02.430: INFO @decay_lr : LR updated to `9.1451504e-05` 2021-05-27 00:52:02.431: INFO @log_profile : T train: 18.299345 2021-05-27 00:52:02.431: INFO @log_profile : T read data: 0.301816 2021-05-27 00:52:02.431: INFO @log_profile : T hooks: 2.837364 2021-05-27 00:52:02.431: INFO @main_loop : Epoch 237 done 2021-05-27 00:52:02.431: INFO @main_loop : Training epoch 238 2021-05-27 00:52:21.664: INFO @log_variables: train loss nanmean: 1.294286 2021-05-27 00:52:21.664: INFO @log_variables: train age_loss mean: 1.008339 2021-05-27 00:52:21.664: INFO @log_variables: train gender_loss mean: 0.393339 2021-05-27 00:52:21.664: INFO @log_variables: train age_mae mean: 11.204853 2021-05-27 00:52:21.664: INFO @log_variables: train gender_accuracy mean: 0.821036 2021-05-27 00:52:21.664: INFO @log_variables: train artificial_age_loss mean: 0.213867 2021-05-27 00:52:21.665: INFO @log_variables: train gender_confidence/loss nanmean: 0.072731 2021-05-27 00:52:21.665: INFO @log_variables: train gender_confidence/accuracy mean: 0.735605 2021-05-27 00:52:21.665: INFO @log_variables: train age_confidence/loss mean: 0.053982 2021-05-27 00:52:21.665: INFO @log_variables: train age_confidence/accuracy mean: 0.695168 2021-05-27 00:52:21.665: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:52:21.668: INFO @metrics_hook: train age_mae: 11.205 +-0.170 (13824) 2021-05-27 00:52:21.671: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13824) 2021-05-27 00:52:23.866: INFO @decay_lr : LR updated to `9.099425e-05` 2021-05-27 00:52:23.868: INFO @log_profile : T train: 18.257945 2021-05-27 00:52:23.868: INFO @log_profile : T read data: 0.310389 2021-05-27 00:52:23.868: INFO @log_profile : T hooks: 2.816026 2021-05-27 00:52:23.868: INFO @main_loop : Epoch 238 done 2021-05-27 00:52:23.868: INFO @main_loop : Training epoch 239 2021-05-27 00:52:43.044: INFO @log_variables: train loss nanmean: 1.303812 2021-05-27 00:52:43.044: INFO @log_variables: train age_loss mean: 1.022875 2021-05-27 00:52:43.044: INFO @log_variables: train gender_loss mean: 0.394812 2021-05-27 00:52:43.044: INFO @log_variables: train age_mae mean: 11.318341 2021-05-27 00:52:43.045: INFO @log_variables: train gender_accuracy mean: 0.818793 2021-05-27 00:52:43.045: INFO @log_variables: train artificial_age_loss mean: 0.214036 2021-05-27 00:52:43.045: INFO @log_variables: train gender_confidence/loss nanmean: 0.072482 2021-05-27 00:52:43.045: INFO @log_variables: train gender_confidence/accuracy mean: 0.737558 2021-05-27 00:52:43.045: INFO @log_variables: train age_confidence/loss mean: 0.052741 2021-05-27 00:52:43.045: INFO @log_variables: train age_confidence/accuracy mean: 0.704572 2021-05-27 00:52:43.045: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:52:43.046: INFO @metrics_hook: train age_mae: 11.318 +-0.172 (13824) 2021-05-27 00:52:43.048: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-05-27 00:52:45.421: INFO @decay_lr : LR updated to `9.053927e-05` 2021-05-27 00:52:45.422: INFO @log_profile : T train: 18.214085 2021-05-27 00:52:45.422: INFO @log_profile : T read data: 0.312874 2021-05-27 00:52:45.422: INFO @log_profile : T hooks: 2.974005 2021-05-27 00:52:45.422: INFO @main_loop : Epoch 239 done 2021-05-27 00:52:45.422: INFO @main_loop : Training epoch 240 2021-05-27 00:53:04.852: INFO @log_variables: train loss nanmean: 1.275479 2021-05-27 00:53:04.852: INFO @log_variables: train age_loss mean: 1.018040 2021-05-27 00:53:04.852: INFO @log_variables: train gender_loss mean: 0.390719 2021-05-27 00:53:04.852: INFO @log_variables: train age_mae mean: 11.305346 2021-05-27 00:53:04.852: INFO @log_variables: train gender_accuracy mean: 0.824083 2021-05-27 00:53:04.852: INFO @log_variables: train artificial_age_loss mean: 0.212092 2021-05-27 00:53:04.852: INFO @log_variables: train gender_confidence/loss nanmean: 0.073107 2021-05-27 00:53:04.852: INFO @log_variables: train gender_confidence/accuracy mean: 0.738806 2021-05-27 00:53:04.852: INFO @log_variables: train age_confidence/loss mean: 0.053430 2021-05-27 00:53:04.852: INFO @log_variables: train age_confidence/accuracy mean: 0.701927 2021-05-27 00:53:04.853: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:53:04.855: INFO @metrics_hook: train age_mae: 11.305 +-0.173 (13802) 2021-05-27 00:53:04.857: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13802) 2021-05-27 00:53:07.192: INFO @decay_lr : LR updated to `9.008658e-05` 2021-05-27 00:53:07.193: INFO @log_profile : T train: 18.328191 2021-05-27 00:53:07.193: INFO @log_profile : T read data: 0.448253 2021-05-27 00:53:07.193: INFO @log_profile : T hooks: 2.942682 2021-05-27 00:53:07.193: INFO @main_loop : Epoch 240 done 2021-05-27 00:53:07.193: INFO @main_loop : Training epoch 241 2021-05-27 00:53:26.472: INFO @log_variables: train loss nanmean: 1.274162 2021-05-27 00:53:26.474: INFO @log_variables: train age_loss mean: 0.999439 2021-05-27 00:53:26.474: INFO @log_variables: train gender_loss mean: 0.401615 2021-05-27 00:53:26.475: INFO @log_variables: train age_mae mean: 11.123896 2021-05-27 00:53:26.475: INFO @log_variables: train gender_accuracy mean: 0.816755 2021-05-27 00:53:26.475: INFO @log_variables: train artificial_age_loss mean: 0.211496 2021-05-27 00:53:26.475: INFO @log_variables: train gender_confidence/loss nanmean: 0.073220 2021-05-27 00:53:26.475: INFO @log_variables: train gender_confidence/accuracy mean: 0.730811 2021-05-27 00:53:26.475: INFO @log_variables: train age_confidence/loss mean: 0.053883 2021-05-27 00:53:26.475: INFO @log_variables: train age_confidence/accuracy mean: 0.695725 2021-05-27 00:53:26.476: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:53:26.478: INFO @metrics_hook: train age_mae: 11.124 +-0.169 (13823) 2021-05-27 00:53:26.479: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13823) 2021-05-27 00:53:28.742: INFO @decay_lr : LR updated to `8.9636145e-05` 2021-05-27 00:53:28.743: INFO @log_profile : T train: 18.352420 2021-05-27 00:53:28.743: INFO @log_profile : T read data: 0.297757 2021-05-27 00:53:28.744: INFO @log_profile : T hooks: 2.846111 2021-05-27 00:53:28.744: INFO @main_loop : Epoch 241 done 2021-05-27 00:53:28.744: INFO @main_loop : Training epoch 242 2021-05-27 00:53:48.017: INFO @log_variables: train loss nanmean: 1.284216 2021-05-27 00:53:48.018: INFO @log_variables: train age_loss mean: 1.014332 2021-05-27 00:53:48.018: INFO @log_variables: train gender_loss mean: 0.393088 2021-05-27 00:53:48.018: INFO @log_variables: train age_mae mean: 11.244391 2021-05-27 00:53:48.018: INFO @log_variables: train gender_accuracy mean: 0.817781 2021-05-27 00:53:48.018: INFO @log_variables: train artificial_age_loss mean: 0.212076 2021-05-27 00:53:48.018: INFO @log_variables: train gender_confidence/loss nanmean: 0.073039 2021-05-27 00:53:48.019: INFO @log_variables: train gender_confidence/accuracy mean: 0.735749 2021-05-27 00:53:48.019: INFO @log_variables: train age_confidence/loss mean: 0.053687 2021-05-27 00:53:48.019: INFO @log_variables: train age_confidence/accuracy mean: 0.696398 2021-05-27 00:53:48.019: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:53:48.022: INFO @metrics_hook: train age_mae: 11.244 +-0.172 (13824) 2021-05-27 00:53:48.025: INFO @metrics_hook: train gender_accuracy: 0.818 +-0.007 (13824) 2021-05-27 00:53:50.368: INFO @decay_lr : LR updated to `8.918797e-05` 2021-05-27 00:53:50.369: INFO @log_profile : T train: 18.336535 2021-05-27 00:53:50.369: INFO @log_profile : T read data: 0.289035 2021-05-27 00:53:50.369: INFO @log_profile : T hooks: 2.947543 2021-05-27 00:53:50.370: INFO @main_loop : Epoch 242 done 2021-05-27 00:53:50.370: INFO @main_loop : Training epoch 243 2021-05-27 00:54:09.732: INFO @log_variables: train loss nanmean: 1.268745 2021-05-27 00:54:09.733: INFO @log_variables: train age_loss mean: 0.992009 2021-05-27 00:54:09.733: INFO @log_variables: train gender_loss mean: 0.394689 2021-05-27 00:54:09.733: INFO @log_variables: train age_mae mean: 11.055438 2021-05-27 00:54:09.733: INFO @log_variables: train gender_accuracy mean: 0.819010 2021-05-27 00:54:09.733: INFO @log_variables: train artificial_age_loss mean: 0.213501 2021-05-27 00:54:09.734: INFO @log_variables: train gender_confidence/loss nanmean: 0.072193 2021-05-27 00:54:09.734: INFO @log_variables: train gender_confidence/accuracy mean: 0.734592 2021-05-27 00:54:09.734: INFO @log_variables: train age_confidence/loss mean: 0.054047 2021-05-27 00:54:09.734: INFO @log_variables: train age_confidence/accuracy mean: 0.696398 2021-05-27 00:54:09.734: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:54:09.737: INFO @metrics_hook: train age_mae: 11.055 +-0.168 (13824) 2021-05-27 00:54:09.740: INFO @metrics_hook: train gender_accuracy: 0.819 +-0.007 (13824) 2021-05-27 00:54:12.058: INFO @decay_lr : LR updated to `8.8742025e-05` 2021-05-27 00:54:12.059: INFO @log_profile : T train: 18.393406 2021-05-27 00:54:12.059: INFO @log_profile : T read data: 0.306774 2021-05-27 00:54:12.059: INFO @log_profile : T hooks: 2.936370 2021-05-27 00:54:12.059: INFO @main_loop : Epoch 243 done 2021-05-27 00:54:12.059: INFO @main_loop : Training epoch 244 2021-05-27 00:54:31.557: INFO @log_variables: train loss nanmean: 1.315660 2021-05-27 00:54:31.558: INFO @log_variables: train age_loss mean: 1.025834 2021-05-27 00:54:31.558: INFO @log_variables: train gender_loss mean: 0.396805 2021-05-27 00:54:31.558: INFO @log_variables: train age_mae mean: 11.351617 2021-05-27 00:54:31.558: INFO @log_variables: train gender_accuracy mean: 0.815896 2021-05-27 00:54:31.558: INFO @log_variables: train artificial_age_loss mean: 0.215713 2021-05-27 00:54:31.558: INFO @log_variables: train gender_confidence/loss nanmean: 0.072022 2021-05-27 00:54:31.558: INFO @log_variables: train gender_confidence/accuracy mean: 0.729967 2021-05-27 00:54:31.558: INFO @log_variables: train age_confidence/loss mean: 0.053450 2021-05-27 00:54:31.558: INFO @log_variables: train age_confidence/accuracy mean: 0.701203 2021-05-27 00:54:31.558: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:54:31.560: INFO @metrics_hook: train age_mae: 11.352 +-0.173 (13802) 2021-05-27 00:54:31.562: INFO @metrics_hook: train gender_accuracy: 0.816 +-0.007 (13802) 2021-05-27 00:54:33.980: INFO @decay_lr : LR updated to `8.8298315e-05` 2021-05-27 00:54:33.982: INFO @log_profile : T train: 18.349028 2021-05-27 00:54:33.982: INFO @log_profile : T read data: 0.483176 2021-05-27 00:54:33.982: INFO @log_profile : T hooks: 3.037712 2021-05-27 00:54:33.983: INFO @main_loop : Epoch 244 done 2021-05-27 00:54:33.983: INFO @main_loop : Training epoch 245 2021-05-27 00:54:53.306: INFO @log_variables: train loss nanmean: 1.304500 2021-05-27 00:54:53.306: INFO @log_variables: train age_loss mean: 1.010836 2021-05-27 00:54:53.306: INFO @log_variables: train gender_loss mean: 0.395408 2021-05-27 00:54:53.306: INFO @log_variables: train age_mae mean: 11.237222 2021-05-27 00:54:53.306: INFO @log_variables: train gender_accuracy mean: 0.821832 2021-05-27 00:54:53.306: INFO @log_variables: train artificial_age_loss mean: 0.213295 2021-05-27 00:54:53.306: INFO @log_variables: train gender_confidence/loss nanmean: 0.073682 2021-05-27 00:54:53.306: INFO @log_variables: train gender_confidence/accuracy mean: 0.730975 2021-05-27 00:54:53.306: INFO @log_variables: train age_confidence/loss mean: 0.053701 2021-05-27 00:54:53.306: INFO @log_variables: train age_confidence/accuracy mean: 0.695674 2021-05-27 00:54:53.307: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:54:53.308: INFO @metrics_hook: train age_mae: 11.237 +-0.172 (13824) 2021-05-27 00:54:53.310: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-05-27 00:54:55.465: INFO @decay_lr : LR updated to `8.7856824e-05` 2021-05-27 00:54:55.467: INFO @log_profile : T train: 18.352626 2021-05-27 00:54:55.467: INFO @log_profile : T read data: 0.309631 2021-05-27 00:54:55.467: INFO @log_profile : T hooks: 2.768327 2021-05-27 00:54:55.467: INFO @main_loop : Epoch 245 done 2021-05-27 00:54:55.467: INFO @main_loop : Training epoch 246 2021-05-27 00:55:14.831: INFO @log_variables: train loss nanmean: 1.295212 2021-05-27 00:55:14.831: INFO @log_variables: train age_loss mean: 1.018677 2021-05-27 00:55:14.831: INFO @log_variables: train gender_loss mean: 0.396631 2021-05-27 00:55:14.831: INFO @log_variables: train age_mae mean: 11.310115 2021-05-27 00:55:14.831: INFO @log_variables: train gender_accuracy mean: 0.817419 2021-05-27 00:55:14.831: INFO @log_variables: train artificial_age_loss mean: 0.212398 2021-05-27 00:55:14.831: INFO @log_variables: train gender_confidence/loss nanmean: 0.072697 2021-05-27 00:55:14.831: INFO @log_variables: train gender_confidence/accuracy mean: 0.740162 2021-05-27 00:55:14.831: INFO @log_variables: train age_confidence/loss mean: 0.053418 2021-05-27 00:55:14.831: INFO @log_variables: train age_confidence/accuracy mean: 0.693070 2021-05-27 00:55:14.832: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:55:14.834: INFO @metrics_hook: train age_mae: 11.310 +-0.174 (13824) 2021-05-27 00:55:14.835: INFO @metrics_hook: train gender_accuracy: 0.817 +-0.007 (13824) 2021-05-27 00:55:16.977: INFO @decay_lr : LR updated to `8.741754e-05` 2021-05-27 00:55:16.978: INFO @log_profile : T train: 18.393036 2021-05-27 00:55:16.978: INFO @log_profile : T read data: 0.306732 2021-05-27 00:55:16.978: INFO @log_profile : T hooks: 2.757397 2021-05-27 00:55:16.978: INFO @main_loop : Epoch 246 done 2021-05-27 00:55:16.978: INFO @main_loop : Training epoch 247 2021-05-27 00:55:36.288: INFO @log_variables: train loss nanmean: 1.263737 2021-05-27 00:55:36.289: INFO @log_variables: train age_loss mean: 0.993257 2021-05-27 00:55:36.289: INFO @log_variables: train gender_loss mean: 0.386060 2021-05-27 00:55:36.289: INFO @log_variables: train age_mae mean: 11.062473 2021-05-27 00:55:36.289: INFO @log_variables: train gender_accuracy mean: 0.823278 2021-05-27 00:55:36.289: INFO @log_variables: train artificial_age_loss mean: 0.211953 2021-05-27 00:55:36.289: INFO @log_variables: train gender_confidence/loss nanmean: 0.072794 2021-05-27 00:55:36.289: INFO @log_variables: train gender_confidence/accuracy mean: 0.738860 2021-05-27 00:55:36.289: INFO @log_variables: train age_confidence/loss mean: 0.054332 2021-05-27 00:55:36.290: INFO @log_variables: train age_confidence/accuracy mean: 0.690394 2021-05-27 00:55:36.290: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:55:36.292: INFO @metrics_hook: train age_mae: 11.062 +-0.170 (13824) 2021-05-27 00:55:36.294: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13824) 2021-05-27 00:55:38.510: INFO @decay_lr : LR updated to `8.698045e-05` 2021-05-27 00:55:38.512: INFO @log_profile : T train: 18.336668 2021-05-27 00:55:38.512: INFO @log_profile : T read data: 0.302285 2021-05-27 00:55:38.512: INFO @log_profile : T hooks: 2.842509 2021-05-27 00:55:38.512: INFO @main_loop : Epoch 247 done 2021-05-27 00:55:38.512: INFO @main_loop : Training epoch 248 2021-05-27 00:55:57.943: INFO @log_variables: train loss nanmean: 1.283113 2021-05-27 00:55:57.944: INFO @log_variables: train age_loss mean: 1.007807 2021-05-27 00:55:57.944: INFO @log_variables: train gender_loss mean: 0.392833 2021-05-27 00:55:57.944: INFO @log_variables: train age_mae mean: 11.199894 2021-05-27 00:55:57.944: INFO @log_variables: train gender_accuracy mean: 0.820678 2021-05-27 00:55:57.944: INFO @log_variables: train artificial_age_loss mean: 0.212851 2021-05-27 00:55:57.944: INFO @log_variables: train gender_confidence/loss nanmean: 0.073132 2021-05-27 00:55:57.944: INFO @log_variables: train gender_confidence/accuracy mean: 0.735038 2021-05-27 00:55:57.944: INFO @log_variables: train age_confidence/loss mean: 0.053526 2021-05-27 00:55:57.944: INFO @log_variables: train age_confidence/accuracy mean: 0.701782 2021-05-27 00:55:57.944: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:55:57.946: INFO @metrics_hook: train age_mae: 11.200 +-0.172 (13802) 2021-05-27 00:55:57.948: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13802) 2021-05-27 00:56:00.177: INFO @decay_lr : LR updated to `8.6545544e-05` 2021-05-27 00:56:00.178: INFO @log_profile : T train: 18.306494 2021-05-27 00:56:00.178: INFO @log_profile : T read data: 0.462083 2021-05-27 00:56:00.178: INFO @log_profile : T hooks: 2.844854 2021-05-27 00:56:00.178: INFO @main_loop : Epoch 248 done 2021-05-27 00:56:00.178: INFO @main_loop : Training epoch 249 2021-05-27 00:56:19.228: INFO @log_variables: train loss nanmean: 1.279823 2021-05-27 00:56:19.229: INFO @log_variables: train age_loss mean: 1.019195 2021-05-27 00:56:19.229: INFO @log_variables: train gender_loss mean: 0.390419 2021-05-27 00:56:19.229: INFO @log_variables: train age_mae mean: 11.299036 2021-05-27 00:56:19.229: INFO @log_variables: train gender_accuracy mean: 0.820602 2021-05-27 00:56:19.229: INFO @log_variables: train artificial_age_loss mean: 0.209503 2021-05-27 00:56:19.229: INFO @log_variables: train gender_confidence/loss nanmean: 0.072109 2021-05-27 00:56:19.229: INFO @log_variables: train gender_confidence/accuracy mean: 0.739583 2021-05-27 00:56:19.229: INFO @log_variables: train age_confidence/loss mean: 0.053857 2021-05-27 00:56:19.230: INFO @log_variables: train age_confidence/accuracy mean: 0.696542 2021-05-27 00:56:19.230: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:56:19.232: INFO @metrics_hook: train age_mae: 11.299 +-0.173 (13824) 2021-05-27 00:56:19.234: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13824) 2021-05-27 00:56:21.439: INFO @decay_lr : LR updated to `8.6112814e-05` 2021-05-27 00:56:21.441: INFO @log_profile : T train: 18.076360 2021-05-27 00:56:21.441: INFO @log_profile : T read data: 0.310604 2021-05-27 00:56:21.441: INFO @log_profile : T hooks: 2.821322 2021-05-27 00:56:21.441: INFO @main_loop : Epoch 249 done 2021-05-27 00:56:21.441: INFO @main_loop : Training epoch 250 2021-05-27 00:56:40.780: INFO @log_variables: train loss nanmean: 1.283146 2021-05-27 00:56:40.781: INFO @log_variables: train age_loss mean: 1.010242 2021-05-27 00:56:40.781: INFO @log_variables: train gender_loss mean: 0.395193 2021-05-27 00:56:40.781: INFO @log_variables: train age_mae mean: 11.212917 2021-05-27 00:56:40.781: INFO @log_variables: train gender_accuracy mean: 0.823495 2021-05-27 00:56:40.781: INFO @log_variables: train artificial_age_loss mean: 0.211454 2021-05-27 00:56:40.781: INFO @log_variables: train gender_confidence/loss nanmean: 0.074369 2021-05-27 00:56:40.781: INFO @log_variables: train gender_confidence/accuracy mean: 0.728226 2021-05-27 00:56:40.781: INFO @log_variables: train age_confidence/loss mean: 0.053809 2021-05-27 00:56:40.781: INFO @log_variables: train age_confidence/accuracy mean: 0.696470 2021-05-27 00:56:40.781: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:56:40.783: INFO @metrics_hook: train age_mae: 11.213 +-0.172 (13824) 2021-05-27 00:56:40.785: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13824) 2021-05-27 00:56:43.014: INFO @decay_lr : LR updated to `8.568225e-05` 2021-05-27 00:56:43.015: INFO @log_profile : T train: 18.385387 2021-05-27 00:56:43.015: INFO @log_profile : T read data: 0.301699 2021-05-27 00:56:43.015: INFO @log_profile : T hooks: 2.834256 2021-05-27 00:56:43.015: INFO @main_loop : Epoch 250 done 2021-05-27 00:56:43.015: INFO @main_loop : Training epoch 251 2021-05-27 00:57:02.346: INFO @log_variables: train loss nanmean: 1.272894 2021-05-27 00:57:02.346: INFO @log_variables: train age_loss mean: 0.996947 2021-05-27 00:57:02.346: INFO @log_variables: train gender_loss mean: 0.388830 2021-05-27 00:57:02.346: INFO @log_variables: train age_mae mean: 11.078642 2021-05-27 00:57:02.346: INFO @log_variables: train gender_accuracy mean: 0.820240 2021-05-27 00:57:02.346: INFO @log_variables: train artificial_age_loss mean: 0.213428 2021-05-27 00:57:02.346: INFO @log_variables: train gender_confidence/loss nanmean: 0.071743 2021-05-27 00:57:02.346: INFO @log_variables: train gender_confidence/accuracy mean: 0.738209 2021-05-27 00:57:02.346: INFO @log_variables: train age_confidence/loss mean: 0.053913 2021-05-27 00:57:02.346: INFO @log_variables: train age_confidence/accuracy mean: 0.695240 2021-05-27 00:57:02.346: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:57:02.348: INFO @metrics_hook: train age_mae: 11.079 +-0.169 (13824) 2021-05-27 00:57:02.350: INFO @metrics_hook: train gender_accuracy: 0.820 +-0.007 (13824) 2021-05-27 00:57:04.498: INFO @decay_lr : LR updated to `8.525384e-05` 2021-05-27 00:57:04.500: INFO @log_profile : T train: 18.365990 2021-05-27 00:57:04.500: INFO @log_profile : T read data: 0.303341 2021-05-27 00:57:04.500: INFO @log_profile : T hooks: 2.760862 2021-05-27 00:57:04.500: INFO @main_loop : Epoch 251 done 2021-05-27 00:57:04.500: INFO @main_loop : Training epoch 252 2021-05-27 00:57:23.801: INFO @log_variables: train loss nanmean: 1.248872 2021-05-27 00:57:23.803: INFO @log_variables: train age_loss mean: 0.998765 2021-05-27 00:57:23.803: INFO @log_variables: train gender_loss mean: 0.387595 2021-05-27 00:57:23.803: INFO @log_variables: train age_mae mean: 11.143954 2021-05-27 00:57:23.803: INFO @log_variables: train gender_accuracy mean: 0.823504 2021-05-27 00:57:23.803: INFO @log_variables: train artificial_age_loss mean: 0.213764 2021-05-27 00:57:23.804: INFO @log_variables: train gender_confidence/loss nanmean: 0.072440 2021-05-27 00:57:23.804: INFO @log_variables: train gender_confidence/accuracy mean: 0.740472 2021-05-27 00:57:23.804: INFO @log_variables: train age_confidence/loss mean: 0.054497 2021-05-27 00:57:23.804: INFO @log_variables: train age_confidence/accuracy mean: 0.689248 2021-05-27 00:57:23.804: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:57:23.806: INFO @metrics_hook: train age_mae: 11.144 +-0.172 (13802) 2021-05-27 00:57:23.808: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13802) 2021-05-27 00:57:25.890: INFO @decay_lr : LR updated to `8.4827574e-05` 2021-05-27 00:57:25.891: INFO @log_profile : T train: 18.187746 2021-05-27 00:57:25.891: INFO @log_profile : T read data: 0.457264 2021-05-27 00:57:25.891: INFO @log_profile : T hooks: 2.689944 2021-05-27 00:57:25.891: INFO @main_loop : Epoch 252 done 2021-05-27 00:57:25.891: INFO @main_loop : Training epoch 253 2021-05-27 00:57:44.684: INFO @log_variables: train loss nanmean: 1.283828 2021-05-27 00:57:44.684: INFO @log_variables: train age_loss mean: 1.019093 2021-05-27 00:57:44.684: INFO @log_variables: train gender_loss mean: 0.391052 2021-05-27 00:57:44.684: INFO @log_variables: train age_mae mean: 11.313259 2021-05-27 00:57:44.684: INFO @log_variables: train gender_accuracy mean: 0.821398 2021-05-27 00:57:44.684: INFO @log_variables: train artificial_age_loss mean: 0.211829 2021-05-27 00:57:44.684: INFO @log_variables: train gender_confidence/loss nanmean: 0.072556 2021-05-27 00:57:44.685: INFO @log_variables: train gender_confidence/accuracy mean: 0.740451 2021-05-27 00:57:44.685: INFO @log_variables: train age_confidence/loss mean: 0.053252 2021-05-27 00:57:44.685: INFO @log_variables: train age_confidence/accuracy mean: 0.705729 2021-05-27 00:57:44.685: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:57:44.686: INFO @metrics_hook: train age_mae: 11.313 +-0.170 (13824) 2021-05-27 00:57:44.687: INFO @metrics_hook: train gender_accuracy: 0.821 +-0.007 (13824) 2021-05-27 00:57:46.813: INFO @decay_lr : LR updated to `8.440344e-05` 2021-05-27 00:57:46.814: INFO @log_profile : T train: 17.831320 2021-05-27 00:57:46.814: INFO @log_profile : T read data: 0.311320 2021-05-27 00:57:46.814: INFO @log_profile : T hooks: 2.726336 2021-05-27 00:57:46.814: INFO @main_loop : Epoch 253 done 2021-05-27 00:57:46.814: INFO @main_loop : Training epoch 254 2021-05-27 00:58:06.128: INFO @log_variables: train loss nanmean: 1.273829 2021-05-27 00:58:06.128: INFO @log_variables: train age_loss mean: 1.007183 2021-05-27 00:58:06.129: INFO @log_variables: train gender_loss mean: 0.394554 2021-05-27 00:58:06.129: INFO @log_variables: train age_mae mean: 11.159261 2021-05-27 00:58:06.129: INFO @log_variables: train gender_accuracy mean: 0.823712 2021-05-27 00:58:06.129: INFO @log_variables: train artificial_age_loss mean: 0.212851 2021-05-27 00:58:06.129: INFO @log_variables: train gender_confidence/loss nanmean: 0.073771 2021-05-27 00:58:06.129: INFO @log_variables: train gender_confidence/accuracy mean: 0.727431 2021-05-27 00:58:06.129: INFO @log_variables: train age_confidence/loss mean: 0.053453 2021-05-27 00:58:06.129: INFO @log_variables: train age_confidence/accuracy mean: 0.703921 2021-05-27 00:58:06.129: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:58:06.130: INFO @metrics_hook: train age_mae: 11.159 +-0.169 (13824) 2021-05-27 00:58:06.132: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13824) 2021-05-27 00:58:08.329: INFO @decay_lr : LR updated to `8.398142e-05` 2021-05-27 00:58:08.330: INFO @log_profile : T train: 18.357805 2021-05-27 00:58:08.331: INFO @log_profile : T read data: 0.299068 2021-05-27 00:58:08.331: INFO @log_profile : T hooks: 2.807134 2021-05-27 00:58:08.331: INFO @main_loop : Epoch 254 done 2021-05-27 00:58:08.331: INFO @main_loop : Training epoch 255 2021-05-27 00:58:27.482: INFO @log_variables: train loss nanmean: 1.277135 2021-05-27 00:58:27.482: INFO @log_variables: train age_loss mean: 1.016014 2021-05-27 00:58:27.482: INFO @log_variables: train gender_loss mean: 0.387759 2021-05-27 00:58:27.482: INFO @log_variables: train age_mae mean: 11.272028 2021-05-27 00:58:27.482: INFO @log_variables: train gender_accuracy mean: 0.823423 2021-05-27 00:58:27.482: INFO @log_variables: train artificial_age_loss mean: 0.211129 2021-05-27 00:58:27.482: INFO @log_variables: train gender_confidence/loss nanmean: 0.073022 2021-05-27 00:58:27.483: INFO @log_variables: train gender_confidence/accuracy mean: 0.739149 2021-05-27 00:58:27.483: INFO @log_variables: train age_confidence/loss mean: 0.053992 2021-05-27 00:58:27.483: INFO @log_variables: train age_confidence/accuracy mean: 0.697555 2021-05-27 00:58:27.483: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:58:27.485: INFO @metrics_hook: train age_mae: 11.272 +-0.174 (13824) 2021-05-27 00:58:27.486: INFO @metrics_hook: train gender_accuracy: 0.823 +-0.006 (13824) 2021-05-27 00:58:29.672: INFO @decay_lr : LR updated to `8.356151e-05` 2021-05-27 00:58:29.674: INFO @log_profile : T train: 18.173581 2021-05-27 00:58:29.674: INFO @log_profile : T read data: 0.309438 2021-05-27 00:58:29.674: INFO @log_profile : T hooks: 2.805407 2021-05-27 00:58:29.674: INFO @main_loop : Epoch 255 done 2021-05-27 00:58:29.674: INFO @main_loop : Training epoch 256 2021-05-27 00:58:48.951: INFO @log_variables: train loss nanmean: 1.244942 2021-05-27 00:58:48.951: INFO @log_variables: train age_loss mean: 0.970329 2021-05-27 00:58:48.952: INFO @log_variables: train gender_loss mean: 0.379699 2021-05-27 00:58:48.952: INFO @log_variables: train age_mae mean: 10.837039 2021-05-27 00:58:48.952: INFO @log_variables: train gender_accuracy mean: 0.826257 2021-05-27 00:58:48.952: INFO @log_variables: train artificial_age_loss mean: 0.213162 2021-05-27 00:58:48.952: INFO @log_variables: train gender_confidence/loss nanmean: 0.071391 2021-05-27 00:58:48.952: INFO @log_variables: train gender_confidence/accuracy mean: 0.750254 2021-05-27 00:58:48.952: INFO @log_variables: train age_confidence/loss mean: 0.054698 2021-05-27 00:58:48.952: INFO @log_variables: train age_confidence/accuracy mean: 0.690480 2021-05-27 00:58:48.952: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:58:48.956: INFO @metrics_hook: train age_mae: 10.837 +-0.167 (13802) 2021-05-27 00:58:48.958: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13802) 2021-05-27 00:58:51.106: INFO @decay_lr : LR updated to `8.31437e-05` 2021-05-27 00:58:51.108: INFO @log_profile : T train: 18.157585 2021-05-27 00:58:51.108: INFO @log_profile : T read data: 0.461993 2021-05-27 00:58:51.108: INFO @log_profile : T hooks: 2.760839 2021-05-27 00:58:51.108: INFO @main_loop : Epoch 256 done 2021-05-27 00:58:51.108: INFO @main_loop : Training epoch 257 2021-05-27 00:59:10.277: INFO @log_variables: train loss nanmean: 1.266600 2021-05-27 00:59:10.277: INFO @log_variables: train age_loss mean: 1.000444 2021-05-27 00:59:10.277: INFO @log_variables: train gender_loss mean: 0.390387 2021-05-27 00:59:10.277: INFO @log_variables: train age_mae mean: 11.120320 2021-05-27 00:59:10.277: INFO @log_variables: train gender_accuracy mean: 0.821976 2021-05-27 00:59:10.277: INFO @log_variables: train artificial_age_loss mean: 0.213676 2021-05-27 00:59:10.277: INFO @log_variables: train gender_confidence/loss nanmean: 0.072185 2021-05-27 00:59:10.277: INFO @log_variables: train gender_confidence/accuracy mean: 0.737051 2021-05-27 00:59:10.277: INFO @log_variables: train age_confidence/loss mean: 0.053904 2021-05-27 00:59:10.277: INFO @log_variables: train age_confidence/accuracy mean: 0.696976 2021-05-27 00:59:10.277: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:59:10.278: INFO @metrics_hook: train age_mae: 11.120 +-0.170 (13824) 2021-05-27 00:59:10.280: INFO @metrics_hook: train gender_accuracy: 0.822 +-0.007 (13824) 2021-05-27 00:59:12.364: INFO @decay_lr : LR updated to `8.272798e-05` 2021-05-27 00:59:12.365: INFO @log_profile : T train: 18.197055 2021-05-27 00:59:12.366: INFO @log_profile : T read data: 0.312283 2021-05-27 00:59:12.366: INFO @log_profile : T hooks: 2.692626 2021-05-27 00:59:12.366: INFO @main_loop : Epoch 257 done 2021-05-27 00:59:12.366: INFO @main_loop : Training epoch 258 2021-05-27 00:59:31.569: INFO @log_variables: train loss nanmean: 1.264392 2021-05-27 00:59:31.570: INFO @log_variables: train age_loss mean: 1.012494 2021-05-27 00:59:31.570: INFO @log_variables: train gender_loss mean: 0.382964 2021-05-27 00:59:31.570: INFO @log_variables: train age_mae mean: 11.257441 2021-05-27 00:59:31.570: INFO @log_variables: train gender_accuracy mean: 0.826895 2021-05-27 00:59:31.570: INFO @log_variables: train artificial_age_loss mean: 0.213265 2021-05-27 00:59:31.570: INFO @log_variables: train gender_confidence/loss nanmean: 0.072782 2021-05-27 00:59:31.570: INFO @log_variables: train gender_confidence/accuracy mean: 0.736183 2021-05-27 00:59:31.570: INFO @log_variables: train age_confidence/loss mean: 0.053601 2021-05-27 00:59:31.570: INFO @log_variables: train age_confidence/accuracy mean: 0.696181 2021-05-27 00:59:31.571: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:59:31.572: INFO @metrics_hook: train age_mae: 11.257 +-0.173 (13824) 2021-05-27 00:59:31.574: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-05-27 00:59:33.628: INFO @decay_lr : LR updated to `8.231434e-05` 2021-05-27 00:59:33.629: INFO @log_profile : T train: 18.237246 2021-05-27 00:59:33.629: INFO @log_profile : T read data: 0.301367 2021-05-27 00:59:33.629: INFO @log_profile : T hooks: 2.671654 2021-05-27 00:59:33.629: INFO @main_loop : Epoch 258 done 2021-05-27 00:59:33.629: INFO @main_loop : Training epoch 259 2021-05-27 00:59:52.696: INFO @log_variables: train loss nanmean: 1.252222 2021-05-27 00:59:52.697: INFO @log_variables: train age_loss mean: 1.004418 2021-05-27 00:59:52.697: INFO @log_variables: train gender_loss mean: 0.387699 2021-05-27 00:59:52.697: INFO @log_variables: train age_mae mean: 11.161364 2021-05-27 00:59:52.697: INFO @log_variables: train gender_accuracy mean: 0.824291 2021-05-27 00:59:52.697: INFO @log_variables: train artificial_age_loss mean: 0.211828 2021-05-27 00:59:52.697: INFO @log_variables: train gender_confidence/loss nanmean: 0.071712 2021-05-27 00:59:52.697: INFO @log_variables: train gender_confidence/accuracy mean: 0.740162 2021-05-27 00:59:52.697: INFO @log_variables: train age_confidence/loss mean: 0.054012 2021-05-27 00:59:52.697: INFO @log_variables: train age_confidence/accuracy mean: 0.699219 2021-05-27 00:59:52.698: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 00:59:52.699: INFO @metrics_hook: train age_mae: 11.161 +-0.172 (13824) 2021-05-27 00:59:52.701: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13824) 2021-05-27 00:59:54.787: INFO @decay_lr : LR updated to `8.190277e-05` 2021-05-27 00:59:54.788: INFO @log_profile : T train: 18.084032 2021-05-27 00:59:54.788: INFO @log_profile : T read data: 0.302092 2021-05-27 00:59:54.788: INFO @log_profile : T hooks: 2.714096 2021-05-27 00:59:54.788: INFO @main_loop : Epoch 259 done 2021-05-27 00:59:54.788: INFO @main_loop : Training epoch 260 2021-05-27 01:00:14.114: INFO @log_variables: train loss nanmean: 1.261282 2021-05-27 01:00:14.114: INFO @log_variables: train age_loss mean: 1.010530 2021-05-27 01:00:14.114: INFO @log_variables: train gender_loss mean: 0.383104 2021-05-27 01:00:14.115: INFO @log_variables: train age_mae mean: 11.214693 2021-05-27 01:00:14.115: INFO @log_variables: train gender_accuracy mean: 0.827416 2021-05-27 01:00:14.115: INFO @log_variables: train artificial_age_loss mean: 0.215209 2021-05-27 01:00:14.115: INFO @log_variables: train gender_confidence/loss nanmean: 0.072927 2021-05-27 01:00:14.115: INFO @log_variables: train gender_confidence/accuracy mean: 0.742863 2021-05-27 01:00:14.115: INFO @log_variables: train age_confidence/loss mean: 0.054081 2021-05-27 01:00:14.115: INFO @log_variables: train age_confidence/accuracy mean: 0.695986 2021-05-27 01:00:14.115: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:00:14.116: INFO @metrics_hook: train age_mae: 11.215 +-0.170 (13802) 2021-05-27 01:00:14.118: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13802) 2021-05-27 01:00:16.237: INFO @decay_lr : LR updated to `8.149326e-05` 2021-05-27 01:00:16.239: INFO @log_profile : T train: 18.267515 2021-05-27 01:00:16.239: INFO @log_profile : T read data: 0.429772 2021-05-27 01:00:16.239: INFO @log_profile : T hooks: 2.701423 2021-05-27 01:00:16.239: INFO @main_loop : Epoch 260 done 2021-05-27 01:00:16.239: INFO @main_loop : Training epoch 261 2021-05-27 01:00:35.406: INFO @log_variables: train loss nanmean: 1.267204 2021-05-27 01:00:35.406: INFO @log_variables: train age_loss mean: 1.007792 2021-05-27 01:00:35.406: INFO @log_variables: train gender_loss mean: 0.385205 2021-05-27 01:00:35.406: INFO @log_variables: train age_mae mean: 11.178077 2021-05-27 01:00:35.406: INFO @log_variables: train gender_accuracy mean: 0.825159 2021-05-27 01:00:35.406: INFO @log_variables: train artificial_age_loss mean: 0.212751 2021-05-27 01:00:35.407: INFO @log_variables: train gender_confidence/loss nanmean: 0.071951 2021-05-27 01:00:35.407: INFO @log_variables: train gender_confidence/accuracy mean: 0.738788 2021-05-27 01:00:35.407: INFO @log_variables: train age_confidence/loss mean: 0.053958 2021-05-27 01:00:35.407: INFO @log_variables: train age_confidence/accuracy mean: 0.695385 2021-05-27 01:00:35.407: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:00:35.408: INFO @metrics_hook: train age_mae: 11.178 +-0.171 (13824) 2021-05-27 01:00:35.409: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13824) 2021-05-27 01:00:37.570: INFO @decay_lr : LR updated to `8.108579e-05` 2021-05-27 01:00:37.572: INFO @log_profile : T train: 18.224429 2021-05-27 01:00:37.572: INFO @log_profile : T read data: 0.291767 2021-05-27 01:00:37.572: INFO @log_profile : T hooks: 2.764050 2021-05-27 01:00:37.572: INFO @main_loop : Epoch 261 done 2021-05-27 01:00:37.572: INFO @main_loop : Training epoch 262 2021-05-27 01:00:56.599: INFO @log_variables: train loss nanmean: 1.256890 2021-05-27 01:00:56.599: INFO @log_variables: train age_loss mean: 0.995144 2021-05-27 01:00:56.599: INFO @log_variables: train gender_loss mean: 0.371568 2021-05-27 01:00:56.599: INFO @log_variables: train age_mae mean: 11.083256 2021-05-27 01:00:56.599: INFO @log_variables: train gender_accuracy mean: 0.836661 2021-05-27 01:00:56.600: INFO @log_variables: train artificial_age_loss mean: 0.212984 2021-05-27 01:00:56.600: INFO @log_variables: train gender_confidence/loss nanmean: 0.072227 2021-05-27 01:00:56.600: INFO @log_variables: train gender_confidence/accuracy mean: 0.748119 2021-05-27 01:00:56.600: INFO @log_variables: train age_confidence/loss mean: 0.054153 2021-05-27 01:00:56.600: INFO @log_variables: train age_confidence/accuracy mean: 0.694661 2021-05-27 01:00:56.600: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:00:56.601: INFO @metrics_hook: train age_mae: 11.083 +-0.170 (13824) 2021-05-27 01:00:56.602: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-05-27 01:00:58.774: INFO @decay_lr : LR updated to `8.068036e-05` 2021-05-27 01:00:58.775: INFO @log_profile : T train: 18.098207 2021-05-27 01:00:58.775: INFO @log_profile : T read data: 0.293518 2021-05-27 01:00:58.775: INFO @log_profile : T hooks: 2.758704 2021-05-27 01:00:58.775: INFO @main_loop : Epoch 262 done 2021-05-27 01:00:58.775: INFO @main_loop : Training epoch 263 2021-05-27 01:01:18.242: INFO @log_variables: train loss nanmean: 1.254151 2021-05-27 01:01:18.242: INFO @log_variables: train age_loss mean: 1.003024 2021-05-27 01:01:18.242: INFO @log_variables: train gender_loss mean: 0.373862 2021-05-27 01:01:18.242: INFO @log_variables: train age_mae mean: 11.165281 2021-05-27 01:01:18.242: INFO @log_variables: train gender_accuracy mean: 0.829952 2021-05-27 01:01:18.242: INFO @log_variables: train artificial_age_loss mean: 0.211586 2021-05-27 01:01:18.242: INFO @log_variables: train gender_confidence/loss nanmean: 0.071622 2021-05-27 01:01:18.243: INFO @log_variables: train gender_confidence/accuracy mean: 0.751123 2021-05-27 01:01:18.243: INFO @log_variables: train age_confidence/loss mean: 0.054314 2021-05-27 01:01:18.243: INFO @log_variables: train age_confidence/accuracy mean: 0.695117 2021-05-27 01:01:18.243: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:01:18.245: INFO @metrics_hook: train age_mae: 11.165 +-0.172 (13802) 2021-05-27 01:01:18.246: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13802) 2021-05-27 01:01:20.528: INFO @decay_lr : LR updated to `8.027696e-05` 2021-05-27 01:01:20.529: INFO @log_profile : T train: 18.356949 2021-05-27 01:01:20.529: INFO @log_profile : T read data: 0.452714 2021-05-27 01:01:20.529: INFO @log_profile : T hooks: 2.888886 2021-05-27 01:01:20.529: INFO @main_loop : Epoch 263 done 2021-05-27 01:01:20.529: INFO @main_loop : Training epoch 264 2021-05-27 01:01:39.783: INFO @log_variables: train loss nanmean: 1.246560 2021-05-27 01:01:39.783: INFO @log_variables: train age_loss mean: 0.993665 2021-05-27 01:01:39.783: INFO @log_variables: train gender_loss mean: 0.380407 2021-05-27 01:01:39.783: INFO @log_variables: train age_mae mean: 11.051536 2021-05-27 01:01:39.783: INFO @log_variables: train gender_accuracy mean: 0.825449 2021-05-27 01:01:39.784: INFO @log_variables: train artificial_age_loss mean: 0.213717 2021-05-27 01:01:39.784: INFO @log_variables: train gender_confidence/loss nanmean: 0.071332 2021-05-27 01:01:39.784: INFO @log_variables: train gender_confidence/accuracy mean: 0.743996 2021-05-27 01:01:39.784: INFO @log_variables: train age_confidence/loss mean: 0.054653 2021-05-27 01:01:39.784: INFO @log_variables: train age_confidence/accuracy mean: 0.685041 2021-05-27 01:01:39.784: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:01:39.785: INFO @metrics_hook: train age_mae: 11.052 +-0.168 (13824) 2021-05-27 01:01:39.786: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13824) 2021-05-27 01:01:45.576: INFO @decay_lr : LR updated to `7.987557e-05` 2021-05-27 01:01:45.577: INFO @log_profile : T train: 18.292789 2021-05-27 01:01:45.577: INFO @log_profile : T read data: 0.293177 2021-05-27 01:01:45.577: INFO @log_profile : T hooks: 6.404122 2021-05-27 01:01:45.577: INFO @main_loop : Epoch 264 done 2021-05-27 01:01:45.577: INFO @main_loop : Training epoch 265 2021-05-27 01:02:04.614: INFO @log_variables: train loss nanmean: 1.241599 2021-05-27 01:02:04.614: INFO @log_variables: train age_loss mean: 0.973276 2021-05-27 01:02:04.614: INFO @log_variables: train gender_loss mean: 0.379667 2021-05-27 01:02:04.614: INFO @log_variables: train age_mae mean: 10.886009 2021-05-27 01:02:04.614: INFO @log_variables: train gender_accuracy mean: 0.827402 2021-05-27 01:02:04.614: INFO @log_variables: train artificial_age_loss mean: 0.210339 2021-05-27 01:02:04.614: INFO @log_variables: train gender_confidence/loss nanmean: 0.071963 2021-05-27 01:02:04.614: INFO @log_variables: train gender_confidence/accuracy mean: 0.743056 2021-05-27 01:02:04.614: INFO @log_variables: train age_confidence/loss mean: 0.054584 2021-05-27 01:02:04.614: INFO @log_variables: train age_confidence/accuracy mean: 0.688730 2021-05-27 01:02:04.614: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:02:04.617: INFO @metrics_hook: train age_mae: 10.886 +-0.168 (13824) 2021-05-27 01:02:04.619: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-05-27 01:02:06.869: INFO @decay_lr : LR updated to `7.9476195e-05` 2021-05-27 01:02:06.871: INFO @log_profile : T train: 18.078404 2021-05-27 01:02:06.871: INFO @log_profile : T read data: 0.292022 2021-05-27 01:02:06.871: INFO @log_profile : T hooks: 2.869758 2021-05-27 01:02:06.871: INFO @main_loop : Epoch 265 done 2021-05-27 01:02:06.871: INFO @main_loop : Training epoch 266 2021-05-27 01:02:26.062: INFO @log_variables: train loss nanmean: 1.263612 2021-05-27 01:02:26.063: INFO @log_variables: train age_loss mean: 0.991828 2021-05-27 01:02:26.063: INFO @log_variables: train gender_loss mean: 0.383426 2021-05-27 01:02:26.063: INFO @log_variables: train age_mae mean: 11.042999 2021-05-27 01:02:26.063: INFO @log_variables: train gender_accuracy mean: 0.827836 2021-05-27 01:02:26.063: INFO @log_variables: train artificial_age_loss mean: 0.213266 2021-05-27 01:02:26.063: INFO @log_variables: train gender_confidence/loss nanmean: 0.072983 2021-05-27 01:02:26.063: INFO @log_variables: train gender_confidence/accuracy mean: 0.738281 2021-05-27 01:02:26.063: INFO @log_variables: train age_confidence/loss mean: 0.054438 2021-05-27 01:02:26.063: INFO @log_variables: train age_confidence/accuracy mean: 0.688368 2021-05-27 01:02:26.063: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:02:26.066: INFO @metrics_hook: train age_mae: 11.043 +-0.169 (13824) 2021-05-27 01:02:26.068: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13824) 2021-05-27 01:02:28.193: INFO @decay_lr : LR updated to `7.907881e-05` 2021-05-27 01:02:28.195: INFO @log_profile : T train: 18.257527 2021-05-27 01:02:28.195: INFO @log_profile : T read data: 0.288854 2021-05-27 01:02:28.195: INFO @log_profile : T hooks: 2.725996 2021-05-27 01:02:28.195: INFO @main_loop : Epoch 266 done 2021-05-27 01:02:28.195: INFO @main_loop : Training epoch 267 2021-05-27 01:02:47.398: INFO @log_variables: train loss nanmean: 1.250739 2021-05-27 01:02:47.398: INFO @log_variables: train age_loss mean: 0.988339 2021-05-27 01:02:47.398: INFO @log_variables: train gender_loss mean: 0.384206 2021-05-27 01:02:47.398: INFO @log_variables: train age_mae mean: 11.041337 2021-05-27 01:02:47.398: INFO @log_variables: train gender_accuracy mean: 0.824373 2021-05-27 01:02:47.399: INFO @log_variables: train artificial_age_loss mean: 0.212992 2021-05-27 01:02:47.399: INFO @log_variables: train gender_confidence/loss nanmean: 0.071995 2021-05-27 01:02:47.399: INFO @log_variables: train gender_confidence/accuracy mean: 0.739820 2021-05-27 01:02:47.399: INFO @log_variables: train age_confidence/loss mean: 0.054111 2021-05-27 01:02:47.399: INFO @log_variables: train age_confidence/accuracy mean: 0.691132 2021-05-27 01:02:47.399: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:02:47.400: INFO @metrics_hook: train age_mae: 11.041 +-0.168 (13802) 2021-05-27 01:02:47.401: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13802) 2021-05-27 01:02:49.590: INFO @decay_lr : LR updated to `7.868341e-05` 2021-05-27 01:02:49.591: INFO @log_profile : T train: 18.133253 2021-05-27 01:02:49.591: INFO @log_profile : T read data: 0.429260 2021-05-27 01:02:49.591: INFO @log_profile : T hooks: 2.780001 2021-05-27 01:02:49.592: INFO @main_loop : Epoch 267 done 2021-05-27 01:02:49.592: INFO @main_loop : Training epoch 268 2021-05-27 01:03:08.909: INFO @log_variables: train loss nanmean: 1.249602 2021-05-27 01:03:08.909: INFO @log_variables: train age_loss mean: 0.994653 2021-05-27 01:03:08.909: INFO @log_variables: train gender_loss mean: 0.378382 2021-05-27 01:03:08.909: INFO @log_variables: train age_mae mean: 11.070870 2021-05-27 01:03:08.909: INFO @log_variables: train gender_accuracy mean: 0.826823 2021-05-27 01:03:08.910: INFO @log_variables: train artificial_age_loss mean: 0.212115 2021-05-27 01:03:08.910: INFO @log_variables: train gender_confidence/loss nanmean: 0.071155 2021-05-27 01:03:08.910: INFO @log_variables: train gender_confidence/accuracy mean: 0.744358 2021-05-27 01:03:08.910: INFO @log_variables: train age_confidence/loss mean: 0.053888 2021-05-27 01:03:08.910: INFO @log_variables: train age_confidence/accuracy mean: 0.696759 2021-05-27 01:03:08.910: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:03:08.913: INFO @metrics_hook: train age_mae: 11.071 +-0.168 (13824) 2021-05-27 01:03:08.916: INFO @metrics_hook: train gender_accuracy: 0.827 +-0.006 (13824) 2021-05-27 01:03:11.140: INFO @decay_lr : LR updated to `7.8289995e-05` 2021-05-27 01:03:11.141: INFO @log_profile : T train: 18.353046 2021-05-27 01:03:11.141: INFO @log_profile : T read data: 0.307238 2021-05-27 01:03:11.141: INFO @log_profile : T hooks: 2.836607 2021-05-27 01:03:11.141: INFO @main_loop : Epoch 268 done 2021-05-27 01:03:11.141: INFO @main_loop : Training epoch 269 2021-05-27 01:03:30.371: INFO @log_variables: train loss nanmean: 1.243400 2021-05-27 01:03:30.371: INFO @log_variables: train age_loss mean: 0.987965 2021-05-27 01:03:30.371: INFO @log_variables: train gender_loss mean: 0.383743 2021-05-27 01:03:30.372: INFO @log_variables: train age_mae mean: 11.015979 2021-05-27 01:03:30.372: INFO @log_variables: train gender_accuracy mean: 0.826027 2021-05-27 01:03:30.372: INFO @log_variables: train artificial_age_loss mean: 0.212212 2021-05-27 01:03:30.372: INFO @log_variables: train gender_confidence/loss nanmean: 0.071830 2021-05-27 01:03:30.372: INFO @log_variables: train gender_confidence/accuracy mean: 0.744213 2021-05-27 01:03:30.372: INFO @log_variables: train age_confidence/loss mean: 0.054238 2021-05-27 01:03:30.372: INFO @log_variables: train age_confidence/accuracy mean: 0.686632 2021-05-27 01:03:30.372: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:03:30.373: INFO @metrics_hook: train age_mae: 11.016 +-0.168 (13824) 2021-05-27 01:03:30.375: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-05-27 01:03:32.477: INFO @decay_lr : LR updated to `7.789855e-05` 2021-05-27 01:03:32.479: INFO @log_profile : T train: 18.300994 2021-05-27 01:03:32.479: INFO @log_profile : T read data: 0.289202 2021-05-27 01:03:32.479: INFO @log_profile : T hooks: 2.695067 2021-05-27 01:03:32.479: INFO @main_loop : Epoch 269 done 2021-05-27 01:03:32.479: INFO @main_loop : Training epoch 270 2021-05-27 01:03:51.713: INFO @log_variables: train loss nanmean: 1.256534 2021-05-27 01:03:51.713: INFO @log_variables: train age_loss mean: 0.995286 2021-05-27 01:03:51.713: INFO @log_variables: train gender_loss mean: 0.379800 2021-05-27 01:03:51.713: INFO @log_variables: train age_mae mean: 11.072986 2021-05-27 01:03:51.713: INFO @log_variables: train gender_accuracy mean: 0.829572 2021-05-27 01:03:51.713: INFO @log_variables: train artificial_age_loss mean: 0.209956 2021-05-27 01:03:51.714: INFO @log_variables: train gender_confidence/loss nanmean: 0.072813 2021-05-27 01:03:51.714: INFO @log_variables: train gender_confidence/accuracy mean: 0.739222 2021-05-27 01:03:51.714: INFO @log_variables: train age_confidence/loss mean: 0.054061 2021-05-27 01:03:51.714: INFO @log_variables: train age_confidence/accuracy mean: 0.695819 2021-05-27 01:03:51.714: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:03:51.716: INFO @metrics_hook: train age_mae: 11.073 +-0.172 (13824) 2021-05-27 01:03:51.718: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-05-27 01:03:53.854: INFO @decay_lr : LR updated to `7.750906e-05` 2021-05-27 01:03:53.856: INFO @log_profile : T train: 18.298695 2021-05-27 01:03:53.856: INFO @log_profile : T read data: 0.297853 2021-05-27 01:03:53.856: INFO @log_profile : T hooks: 2.727953 2021-05-27 01:03:53.856: INFO @main_loop : Epoch 270 done 2021-05-27 01:03:53.856: INFO @main_loop : Training epoch 271 2021-05-27 01:04:12.488: INFO @log_variables: train loss nanmean: 1.270828 2021-05-27 01:04:12.488: INFO @log_variables: train age_loss mean: 1.005270 2021-05-27 01:04:12.488: INFO @log_variables: train gender_loss mean: 0.382455 2021-05-27 01:04:12.488: INFO @log_variables: train age_mae mean: 11.165123 2021-05-27 01:04:12.488: INFO @log_variables: train gender_accuracy mean: 0.826402 2021-05-27 01:04:12.488: INFO @log_variables: train artificial_age_loss mean: 0.211910 2021-05-27 01:04:12.488: INFO @log_variables: train gender_confidence/loss nanmean: 0.072728 2021-05-27 01:04:12.488: INFO @log_variables: train gender_confidence/accuracy mean: 0.741342 2021-05-27 01:04:12.488: INFO @log_variables: train age_confidence/loss mean: 0.053968 2021-05-27 01:04:12.488: INFO @log_variables: train age_confidence/accuracy mean: 0.698449 2021-05-27 01:04:12.488: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:04:12.490: INFO @metrics_hook: train age_mae: 11.165 +-0.171 (13802) 2021-05-27 01:04:12.491: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13802) 2021-05-27 01:04:14.611: INFO @decay_lr : LR updated to `7.712151e-05` 2021-05-27 01:04:14.612: INFO @log_profile : T train: 17.524576 2021-05-27 01:04:14.612: INFO @log_profile : T read data: 0.458251 2021-05-27 01:04:14.612: INFO @log_profile : T hooks: 2.720261 2021-05-27 01:04:14.612: INFO @main_loop : Epoch 271 done 2021-05-27 01:04:14.613: INFO @main_loop : Training epoch 272 2021-05-27 01:04:33.198: INFO @log_variables: train loss nanmean: 1.246973 2021-05-27 01:04:33.199: INFO @log_variables: train age_loss mean: 0.994015 2021-05-27 01:04:33.199: INFO @log_variables: train gender_loss mean: 0.369796 2021-05-27 01:04:33.199: INFO @log_variables: train age_mae mean: 11.071342 2021-05-27 01:04:33.199: INFO @log_variables: train gender_accuracy mean: 0.835938 2021-05-27 01:04:33.199: INFO @log_variables: train artificial_age_loss mean: 0.211859 2021-05-27 01:04:33.199: INFO @log_variables: train gender_confidence/loss nanmean: 0.072851 2021-05-27 01:04:33.199: INFO @log_variables: train gender_confidence/accuracy mean: 0.740017 2021-05-27 01:04:33.199: INFO @log_variables: train age_confidence/loss mean: 0.054063 2021-05-27 01:04:33.199: INFO @log_variables: train age_confidence/accuracy mean: 0.692708 2021-05-27 01:04:33.199: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:04:33.202: INFO @metrics_hook: train age_mae: 11.071 +-0.168 (13824) 2021-05-27 01:04:33.204: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-05-27 01:04:35.451: INFO @decay_lr : LR updated to `7.67359e-05` 2021-05-27 01:04:35.452: INFO @log_profile : T train: 17.601126 2021-05-27 01:04:35.452: INFO @log_profile : T read data: 0.297620 2021-05-27 01:04:35.452: INFO @log_profile : T hooks: 2.885433 2021-05-27 01:04:35.452: INFO @main_loop : Epoch 272 done 2021-05-27 01:04:35.452: INFO @main_loop : Training epoch 273 2021-05-27 01:04:53.915: INFO @log_variables: train loss nanmean: 1.244280 2021-05-27 01:04:53.915: INFO @log_variables: train age_loss mean: 0.989339 2021-05-27 01:04:53.915: INFO @log_variables: train gender_loss mean: 0.378239 2021-05-27 01:04:53.915: INFO @log_variables: train age_mae mean: 11.018838 2021-05-27 01:04:53.915: INFO @log_variables: train gender_accuracy mean: 0.827546 2021-05-27 01:04:53.916: INFO @log_variables: train artificial_age_loss mean: 0.210628 2021-05-27 01:04:53.916: INFO @log_variables: train gender_confidence/loss nanmean: 0.071514 2021-05-27 01:04:53.916: INFO @log_variables: train gender_confidence/accuracy mean: 0.740017 2021-05-27 01:04:53.916: INFO @log_variables: train age_confidence/loss mean: 0.053906 2021-05-27 01:04:53.916: INFO @log_variables: train age_confidence/accuracy mean: 0.692419 2021-05-27 01:04:53.916: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:04:53.918: INFO @metrics_hook: train age_mae: 11.019 +-0.170 (13824) 2021-05-27 01:04:53.920: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13824) 2021-05-27 01:04:56.107: INFO @decay_lr : LR updated to `7.635222e-05` 2021-05-27 01:04:56.108: INFO @log_profile : T train: 17.517513 2021-05-27 01:04:56.109: INFO @log_profile : T read data: 0.297265 2021-05-27 01:04:56.109: INFO @log_profile : T hooks: 2.789286 2021-05-27 01:04:56.109: INFO @main_loop : Epoch 273 done 2021-05-27 01:04:56.109: INFO @main_loop : Training epoch 274 2021-05-27 01:05:14.571: INFO @log_variables: train loss nanmean: 1.242645 2021-05-27 01:05:14.571: INFO @log_variables: train age_loss mean: 0.987141 2021-05-27 01:05:14.571: INFO @log_variables: train gender_loss mean: 0.380805 2021-05-27 01:05:14.571: INFO @log_variables: train age_mae mean: 11.037807 2021-05-27 01:05:14.571: INFO @log_variables: train gender_accuracy mean: 0.823627 2021-05-27 01:05:14.571: INFO @log_variables: train artificial_age_loss mean: 0.210410 2021-05-27 01:05:14.571: INFO @log_variables: train gender_confidence/loss nanmean: 0.071732 2021-05-27 01:05:14.571: INFO @log_variables: train gender_confidence/accuracy mean: 0.744628 2021-05-27 01:05:14.571: INFO @log_variables: train age_confidence/loss mean: 0.053858 2021-05-27 01:05:14.572: INFO @log_variables: train age_confidence/accuracy mean: 0.695725 2021-05-27 01:05:14.572: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:05:14.573: INFO @metrics_hook: train age_mae: 11.038 +-0.169 (13823) 2021-05-27 01:05:14.574: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13823) 2021-05-27 01:05:16.905: INFO @decay_lr : LR updated to `7.5970456e-05` 2021-05-27 01:05:16.907: INFO @log_profile : T train: 17.535738 2021-05-27 01:05:16.907: INFO @log_profile : T read data: 0.282829 2021-05-27 01:05:16.907: INFO @log_profile : T hooks: 2.926344 2021-05-27 01:05:16.907: INFO @main_loop : Epoch 274 done 2021-05-27 01:05:16.907: INFO @main_loop : Training epoch 275 2021-05-27 01:05:35.557: INFO @log_variables: train loss nanmean: 1.254089 2021-05-27 01:05:35.557: INFO @log_variables: train age_loss mean: 0.984440 2021-05-27 01:05:35.557: INFO @log_variables: train gender_loss mean: 0.385078 2021-05-27 01:05:35.557: INFO @log_variables: train age_mae mean: 10.983313 2021-05-27 01:05:35.557: INFO @log_variables: train gender_accuracy mean: 0.829360 2021-05-27 01:05:35.557: INFO @log_variables: train artificial_age_loss mean: 0.212131 2021-05-27 01:05:35.558: INFO @log_variables: train gender_confidence/loss nanmean: 0.072982 2021-05-27 01:05:35.558: INFO @log_variables: train gender_confidence/accuracy mean: 0.729802 2021-05-27 01:05:35.558: INFO @log_variables: train age_confidence/loss mean: 0.054365 2021-05-27 01:05:35.558: INFO @log_variables: train age_confidence/accuracy mean: 0.686472 2021-05-27 01:05:35.558: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:05:35.560: INFO @metrics_hook: train age_mae: 10.983 +-0.169 (13801) 2021-05-27 01:05:35.562: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13801) 2021-05-27 01:05:38.013: INFO @decay_lr : LR updated to `7.559061e-05` 2021-05-27 01:05:38.015: INFO @log_profile : T train: 17.538633 2021-05-27 01:05:38.015: INFO @log_profile : T read data: 0.452348 2021-05-27 01:05:38.015: INFO @log_profile : T hooks: 3.063461 2021-05-27 01:05:38.015: INFO @main_loop : Epoch 275 done 2021-05-27 01:05:38.015: INFO @main_loop : Training epoch 276 2021-05-27 01:05:56.490: INFO @log_variables: train loss nanmean: 1.248222 2021-05-27 01:05:56.490: INFO @log_variables: train age_loss mean: 0.989184 2021-05-27 01:05:56.490: INFO @log_variables: train gender_loss mean: 0.381213 2021-05-27 01:05:56.490: INFO @log_variables: train age_mae mean: 11.035502 2021-05-27 01:05:56.490: INFO @log_variables: train gender_accuracy mean: 0.828993 2021-05-27 01:05:56.490: INFO @log_variables: train artificial_age_loss mean: 0.210847 2021-05-27 01:05:56.490: INFO @log_variables: train gender_confidence/loss nanmean: 0.073049 2021-05-27 01:05:56.490: INFO @log_variables: train gender_confidence/accuracy mean: 0.737196 2021-05-27 01:05:56.491: INFO @log_variables: train age_confidence/loss mean: 0.053983 2021-05-27 01:05:56.491: INFO @log_variables: train age_confidence/accuracy mean: 0.697917 2021-05-27 01:05:56.491: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:05:56.492: INFO @metrics_hook: train age_mae: 11.036 +-0.168 (13824) 2021-05-27 01:05:56.494: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:05:58.867: INFO @decay_lr : LR updated to `7.521266e-05` 2021-05-27 01:05:58.868: INFO @log_profile : T train: 17.537648 2021-05-27 01:05:58.868: INFO @log_profile : T read data: 0.283567 2021-05-27 01:05:58.868: INFO @log_profile : T hooks: 2.980154 2021-05-27 01:05:58.868: INFO @main_loop : Epoch 276 done 2021-05-27 01:05:58.868: INFO @main_loop : Training epoch 277 2021-05-27 01:06:17.379: INFO @log_variables: train loss nanmean: 1.265997 2021-05-27 01:06:17.379: INFO @log_variables: train age_loss mean: 0.989533 2021-05-27 01:06:17.379: INFO @log_variables: train gender_loss mean: 0.382775 2021-05-27 01:06:17.379: INFO @log_variables: train age_mae mean: 11.015770 2021-05-27 01:06:17.380: INFO @log_variables: train gender_accuracy mean: 0.828414 2021-05-27 01:06:17.380: INFO @log_variables: train artificial_age_loss mean: 0.211571 2021-05-27 01:06:17.380: INFO @log_variables: train gender_confidence/loss nanmean: 0.072883 2021-05-27 01:06:17.380: INFO @log_variables: train gender_confidence/accuracy mean: 0.733869 2021-05-27 01:06:17.380: INFO @log_variables: train age_confidence/loss mean: 0.053968 2021-05-27 01:06:17.380: INFO @log_variables: train age_confidence/accuracy mean: 0.691189 2021-05-27 01:06:17.380: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:06:17.381: INFO @metrics_hook: train age_mae: 11.016 +-0.168 (13824) 2021-05-27 01:06:17.383: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13824) 2021-05-27 01:06:19.771: INFO @decay_lr : LR updated to `7.483659e-05` 2021-05-27 01:06:19.773: INFO @log_profile : T train: 17.585777 2021-05-27 01:06:19.773: INFO @log_profile : T read data: 0.291035 2021-05-27 01:06:19.773: INFO @log_profile : T hooks: 2.974719 2021-05-27 01:06:19.773: INFO @main_loop : Epoch 277 done 2021-05-27 01:06:19.773: INFO @main_loop : Training epoch 278 2021-05-27 01:06:38.309: INFO @log_variables: train loss nanmean: 1.240215 2021-05-27 01:06:38.310: INFO @log_variables: train age_loss mean: 0.985161 2021-05-27 01:06:38.310: INFO @log_variables: train gender_loss mean: 0.375841 2021-05-27 01:06:38.310: INFO @log_variables: train age_mae mean: 10.978219 2021-05-27 01:06:38.310: INFO @log_variables: train gender_accuracy mean: 0.830657 2021-05-27 01:06:38.311: INFO @log_variables: train artificial_age_loss mean: 0.211561 2021-05-27 01:06:38.311: INFO @log_variables: train gender_confidence/loss nanmean: 0.071943 2021-05-27 01:06:38.311: INFO @log_variables: train gender_confidence/accuracy mean: 0.744358 2021-05-27 01:06:38.311: INFO @log_variables: train age_confidence/loss mean: 0.054099 2021-05-27 01:06:38.311: INFO @log_variables: train age_confidence/accuracy mean: 0.691913 2021-05-27 01:06:38.311: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:06:38.312: INFO @metrics_hook: train age_mae: 10.978 +-0.168 (13824) 2021-05-27 01:06:38.314: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:06:40.707: INFO @decay_lr : LR updated to `7.446241e-05` 2021-05-27 01:06:40.709: INFO @log_profile : T train: 17.577890 2021-05-27 01:06:40.709: INFO @log_profile : T read data: 0.300104 2021-05-27 01:06:40.709: INFO @log_profile : T hooks: 3.004294 2021-05-27 01:06:40.709: INFO @main_loop : Epoch 278 done 2021-05-27 01:06:40.709: INFO @main_loop : Training epoch 279 2021-05-27 01:06:59.392: INFO @log_variables: train loss nanmean: 1.245765 2021-05-27 01:06:59.392: INFO @log_variables: train age_loss mean: 0.979403 2021-05-27 01:06:59.392: INFO @log_variables: train gender_loss mean: 0.378688 2021-05-27 01:06:59.392: INFO @log_variables: train age_mae mean: 10.929725 2021-05-27 01:06:59.392: INFO @log_variables: train gender_accuracy mean: 0.824228 2021-05-27 01:06:59.393: INFO @log_variables: train artificial_age_loss mean: 0.212181 2021-05-27 01:06:59.393: INFO @log_variables: train gender_confidence/loss nanmean: 0.070787 2021-05-27 01:06:59.393: INFO @log_variables: train gender_confidence/accuracy mean: 0.748152 2021-05-27 01:06:59.393: INFO @log_variables: train age_confidence/loss mean: 0.055132 2021-05-27 01:06:59.393: INFO @log_variables: train age_confidence/accuracy mean: 0.678163 2021-05-27 01:06:59.393: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:06:59.396: INFO @metrics_hook: train age_mae: 10.930 +-0.169 (13802) 2021-05-27 01:06:59.398: INFO @metrics_hook: train gender_accuracy: 0.824 +-0.006 (13802) 2021-05-27 01:07:01.825: INFO @decay_lr : LR updated to `7.40901e-05` 2021-05-27 01:07:01.827: INFO @log_profile : T train: 17.603024 2021-05-27 01:07:01.827: INFO @log_profile : T read data: 0.428886 2021-05-27 01:07:01.827: INFO @log_profile : T hooks: 3.032450 2021-05-27 01:07:01.827: INFO @main_loop : Epoch 279 done 2021-05-27 01:07:01.827: INFO @main_loop : Training epoch 280 2021-05-27 01:07:20.325: INFO @log_variables: train loss nanmean: 1.231353 2021-05-27 01:07:20.325: INFO @log_variables: train age_loss mean: 0.975746 2021-05-27 01:07:20.325: INFO @log_variables: train gender_loss mean: 0.376458 2021-05-27 01:07:20.325: INFO @log_variables: train age_mae mean: 10.885474 2021-05-27 01:07:20.325: INFO @log_variables: train gender_accuracy mean: 0.827546 2021-05-27 01:07:20.325: INFO @log_variables: train artificial_age_loss mean: 0.211428 2021-05-27 01:07:20.325: INFO @log_variables: train gender_confidence/loss nanmean: 0.071564 2021-05-27 01:07:20.325: INFO @log_variables: train gender_confidence/accuracy mean: 0.744213 2021-05-27 01:07:20.325: INFO @log_variables: train age_confidence/loss mean: 0.054475 2021-05-27 01:07:20.326: INFO @log_variables: train age_confidence/accuracy mean: 0.686704 2021-05-27 01:07:20.326: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:07:20.327: INFO @metrics_hook: train age_mae: 10.885 +-0.167 (13824) 2021-05-27 01:07:20.328: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13824) 2021-05-27 01:07:22.612: INFO @decay_lr : LR updated to `7.371965e-05` 2021-05-27 01:07:22.614: INFO @log_profile : T train: 17.540483 2021-05-27 01:07:22.614: INFO @log_profile : T read data: 0.299947 2021-05-27 01:07:22.614: INFO @log_profile : T hooks: 2.894150 2021-05-27 01:07:22.614: INFO @main_loop : Epoch 280 done 2021-05-27 01:07:22.614: INFO @main_loop : Training epoch 281 2021-05-27 01:07:41.116: INFO @log_variables: train loss nanmean: 1.235597 2021-05-27 01:07:41.116: INFO @log_variables: train age_loss mean: 0.987862 2021-05-27 01:07:41.116: INFO @log_variables: train gender_loss mean: 0.378906 2021-05-27 01:07:41.117: INFO @log_variables: train age_mae mean: 11.026136 2021-05-27 01:07:41.117: INFO @log_variables: train gender_accuracy mean: 0.828776 2021-05-27 01:07:41.117: INFO @log_variables: train artificial_age_loss mean: 0.211155 2021-05-27 01:07:41.117: INFO @log_variables: train gender_confidence/loss nanmean: 0.072273 2021-05-27 01:07:41.117: INFO @log_variables: train gender_confidence/accuracy mean: 0.744213 2021-05-27 01:07:41.117: INFO @log_variables: train age_confidence/loss mean: 0.054291 2021-05-27 01:07:41.117: INFO @log_variables: train age_confidence/accuracy mean: 0.692708 2021-05-27 01:07:41.117: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:07:41.118: INFO @metrics_hook: train age_mae: 11.026 +-0.171 (13824) 2021-05-27 01:07:41.120: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:07:43.339: INFO @decay_lr : LR updated to `7.335105e-05` 2021-05-27 01:07:43.340: INFO @log_profile : T train: 17.568155 2021-05-27 01:07:43.340: INFO @log_profile : T read data: 0.304491 2021-05-27 01:07:43.340: INFO @log_profile : T hooks: 2.800390 2021-05-27 01:07:43.340: INFO @main_loop : Epoch 281 done 2021-05-27 01:07:43.341: INFO @main_loop : Training epoch 282 2021-05-27 01:08:01.907: INFO @log_variables: train loss nanmean: 1.226977 2021-05-27 01:08:01.908: INFO @log_variables: train age_loss mean: 0.980404 2021-05-27 01:08:01.908: INFO @log_variables: train gender_loss mean: 0.378689 2021-05-27 01:08:01.908: INFO @log_variables: train age_mae mean: 10.920929 2021-05-27 01:08:01.908: INFO @log_variables: train gender_accuracy mean: 0.829789 2021-05-27 01:08:01.908: INFO @log_variables: train artificial_age_loss mean: 0.213097 2021-05-27 01:08:01.908: INFO @log_variables: train gender_confidence/loss nanmean: 0.072521 2021-05-27 01:08:01.908: INFO @log_variables: train gender_confidence/accuracy mean: 0.735243 2021-05-27 01:08:01.908: INFO @log_variables: train age_confidence/loss mean: 0.054412 2021-05-27 01:08:01.908: INFO @log_variables: train age_confidence/accuracy mean: 0.690972 2021-05-27 01:08:01.908: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:08:01.909: INFO @metrics_hook: train age_mae: 10.921 +-0.168 (13824) 2021-05-27 01:08:01.911: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-05-27 01:08:04.282: INFO @decay_lr : LR updated to `7.29843e-05` 2021-05-27 01:08:04.284: INFO @log_profile : T train: 17.609242 2021-05-27 01:08:04.284: INFO @log_profile : T read data: 0.298530 2021-05-27 01:08:04.284: INFO @log_profile : T hooks: 2.980734 2021-05-27 01:08:04.284: INFO @main_loop : Epoch 282 done 2021-05-27 01:08:04.284: INFO @main_loop : Training epoch 283 2021-05-27 01:08:22.904: INFO @log_variables: train loss nanmean: 1.245196 2021-05-27 01:08:22.904: INFO @log_variables: train age_loss mean: 0.988790 2021-05-27 01:08:22.904: INFO @log_variables: train gender_loss mean: 0.377801 2021-05-27 01:08:22.905: INFO @log_variables: train age_mae mean: 11.035550 2021-05-27 01:08:22.905: INFO @log_variables: train gender_accuracy mean: 0.829010 2021-05-27 01:08:22.905: INFO @log_variables: train artificial_age_loss mean: 0.212188 2021-05-27 01:08:22.905: INFO @log_variables: train gender_confidence/loss nanmean: 0.072605 2021-05-27 01:08:22.905: INFO @log_variables: train gender_confidence/accuracy mean: 0.737357 2021-05-27 01:08:22.905: INFO @log_variables: train age_confidence/loss mean: 0.054372 2021-05-27 01:08:22.905: INFO @log_variables: train age_confidence/accuracy mean: 0.688161 2021-05-27 01:08:22.905: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:08:22.908: INFO @metrics_hook: train age_mae: 11.036 +-0.170 (13802) 2021-05-27 01:08:22.911: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13802) 2021-05-27 01:08:25.217: INFO @decay_lr : LR updated to `7.261938e-05` 2021-05-27 01:08:25.219: INFO @log_profile : T train: 17.559739 2021-05-27 01:08:25.219: INFO @log_profile : T read data: 0.404546 2021-05-27 01:08:25.219: INFO @log_profile : T hooks: 2.916552 2021-05-27 01:08:25.219: INFO @main_loop : Epoch 283 done 2021-05-27 01:08:25.219: INFO @main_loop : Training epoch 284 2021-05-27 01:08:43.800: INFO @log_variables: train loss nanmean: 1.237197 2021-05-27 01:08:43.800: INFO @log_variables: train age_loss mean: 0.979024 2021-05-27 01:08:43.800: INFO @log_variables: train gender_loss mean: 0.373559 2021-05-27 01:08:43.801: INFO @log_variables: train age_mae mean: 10.920686 2021-05-27 01:08:43.801: INFO @log_variables: train gender_accuracy mean: 0.834708 2021-05-27 01:08:43.801: INFO @log_variables: train artificial_age_loss mean: 0.211647 2021-05-27 01:08:43.801: INFO @log_variables: train gender_confidence/loss nanmean: 0.072722 2021-05-27 01:08:43.801: INFO @log_variables: train gender_confidence/accuracy mean: 0.744285 2021-05-27 01:08:43.801: INFO @log_variables: train age_confidence/loss mean: 0.054711 2021-05-27 01:08:43.801: INFO @log_variables: train age_confidence/accuracy mean: 0.683232 2021-05-27 01:08:43.801: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:08:43.804: INFO @metrics_hook: train age_mae: 10.921 +-0.168 (13824) 2021-05-27 01:08:43.806: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13824) 2021-05-27 01:08:46.219: INFO @decay_lr : LR updated to `7.225628e-05` 2021-05-27 01:08:46.220: INFO @log_profile : T train: 17.598688 2021-05-27 01:08:46.221: INFO @log_profile : T read data: 0.305829 2021-05-27 01:08:46.221: INFO @log_profile : T hooks: 3.042584 2021-05-27 01:08:46.221: INFO @main_loop : Epoch 284 done 2021-05-27 01:08:46.221: INFO @main_loop : Training epoch 285 2021-05-27 01:09:04.791: INFO @log_variables: train loss nanmean: 1.253150 2021-05-27 01:09:04.791: INFO @log_variables: train age_loss mean: 0.974134 2021-05-27 01:09:04.791: INFO @log_variables: train gender_loss mean: 0.375537 2021-05-27 01:09:04.791: INFO @log_variables: train age_mae mean: 10.889915 2021-05-27 01:09:04.792: INFO @log_variables: train gender_accuracy mean: 0.829499 2021-05-27 01:09:04.792: INFO @log_variables: train artificial_age_loss mean: 0.210855 2021-05-27 01:09:04.792: INFO @log_variables: train gender_confidence/loss nanmean: 0.071699 2021-05-27 01:09:04.792: INFO @log_variables: train gender_confidence/accuracy mean: 0.748915 2021-05-27 01:09:04.792: INFO @log_variables: train age_confidence/loss mean: 0.054988 2021-05-27 01:09:04.792: INFO @log_variables: train age_confidence/accuracy mean: 0.684389 2021-05-27 01:09:04.792: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:09:04.794: INFO @metrics_hook: train age_mae: 10.890 +-0.170 (13824) 2021-05-27 01:09:04.796: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:09:07.023: INFO @decay_lr : LR updated to `7.1895e-05` 2021-05-27 01:09:07.025: INFO @log_profile : T train: 17.616941 2021-05-27 01:09:07.025: INFO @log_profile : T read data: 0.291530 2021-05-27 01:09:07.025: INFO @log_profile : T hooks: 2.841258 2021-05-27 01:09:07.025: INFO @main_loop : Epoch 285 done 2021-05-27 01:09:07.025: INFO @main_loop : Training epoch 286 2021-05-27 01:09:25.636: INFO @log_variables: train loss nanmean: 1.222601 2021-05-27 01:09:25.636: INFO @log_variables: train age_loss mean: 0.986713 2021-05-27 01:09:25.636: INFO @log_variables: train gender_loss mean: 0.365844 2021-05-27 01:09:25.636: INFO @log_variables: train age_mae mean: 11.005143 2021-05-27 01:09:25.636: INFO @log_variables: train gender_accuracy mean: 0.836589 2021-05-27 01:09:25.637: INFO @log_variables: train artificial_age_loss mean: 0.210581 2021-05-27 01:09:25.637: INFO @log_variables: train gender_confidence/loss nanmean: 0.071533 2021-05-27 01:09:25.637: INFO @log_variables: train gender_confidence/accuracy mean: 0.749277 2021-05-27 01:09:25.637: INFO @log_variables: train age_confidence/loss mean: 0.054704 2021-05-27 01:09:25.637: INFO @log_variables: train age_confidence/accuracy mean: 0.690032 2021-05-27 01:09:25.637: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:09:25.638: INFO @metrics_hook: train age_mae: 11.005 +-0.172 (13824) 2021-05-27 01:09:25.640: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-05-27 01:09:27.841: INFO @decay_lr : LR updated to `7.153553e-05` 2021-05-27 01:09:27.843: INFO @log_profile : T train: 17.641852 2021-05-27 01:09:27.843: INFO @log_profile : T read data: 0.297105 2021-05-27 01:09:27.843: INFO @log_profile : T hooks: 2.825520 2021-05-27 01:09:27.843: INFO @main_loop : Epoch 286 done 2021-05-27 01:09:27.843: INFO @main_loop : Training epoch 287 2021-05-27 01:09:46.506: INFO @log_variables: train loss nanmean: 1.228914 2021-05-27 01:09:46.506: INFO @log_variables: train age_loss mean: 0.978852 2021-05-27 01:09:46.506: INFO @log_variables: train gender_loss mean: 0.374326 2021-05-27 01:09:46.506: INFO @log_variables: train age_mae mean: 10.928322 2021-05-27 01:09:46.506: INFO @log_variables: train gender_accuracy mean: 0.831981 2021-05-27 01:09:46.506: INFO @log_variables: train artificial_age_loss mean: 0.211782 2021-05-27 01:09:46.506: INFO @log_variables: train gender_confidence/loss nanmean: 0.071765 2021-05-27 01:09:46.506: INFO @log_variables: train gender_confidence/accuracy mean: 0.743950 2021-05-27 01:09:46.507: INFO @log_variables: train age_confidence/loss mean: 0.054358 2021-05-27 01:09:46.507: INFO @log_variables: train age_confidence/accuracy mean: 0.688161 2021-05-27 01:09:46.507: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:09:46.508: INFO @metrics_hook: train age_mae: 10.928 +-0.168 (13802) 2021-05-27 01:09:46.509: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13802) 2021-05-27 01:09:48.858: INFO @decay_lr : LR updated to `7.117785e-05` 2021-05-27 01:09:48.859: INFO @log_profile : T train: 17.546025 2021-05-27 01:09:48.859: INFO @log_profile : T read data: 0.455374 2021-05-27 01:09:48.859: INFO @log_profile : T hooks: 2.960947 2021-05-27 01:09:48.859: INFO @main_loop : Epoch 287 done 2021-05-27 01:09:48.859: INFO @main_loop : Training epoch 288 2021-05-27 01:10:07.376: INFO @log_variables: train loss nanmean: 1.267512 2021-05-27 01:10:07.376: INFO @log_variables: train age_loss mean: 0.993362 2021-05-27 01:10:07.376: INFO @log_variables: train gender_loss mean: 0.388226 2021-05-27 01:10:07.376: INFO @log_variables: train age_mae mean: 11.028624 2021-05-27 01:10:07.376: INFO @log_variables: train gender_accuracy mean: 0.824725 2021-05-27 01:10:07.376: INFO @log_variables: train artificial_age_loss mean: 0.212560 2021-05-27 01:10:07.376: INFO @log_variables: train gender_confidence/loss nanmean: 0.073286 2021-05-27 01:10:07.376: INFO @log_variables: train gender_confidence/accuracy mean: 0.730758 2021-05-27 01:10:07.377: INFO @log_variables: train age_confidence/loss mean: 0.053772 2021-05-27 01:10:07.377: INFO @log_variables: train age_confidence/accuracy mean: 0.694589 2021-05-27 01:10:07.377: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:10:07.378: INFO @metrics_hook: train age_mae: 11.029 +-0.168 (13824) 2021-05-27 01:10:07.379: INFO @metrics_hook: train gender_accuracy: 0.825 +-0.006 (13824) 2021-05-27 01:10:09.703: INFO @decay_lr : LR updated to `7.082196e-05` 2021-05-27 01:10:09.705: INFO @log_profile : T train: 17.538251 2021-05-27 01:10:09.705: INFO @log_profile : T read data: 0.314888 2021-05-27 01:10:09.706: INFO @log_profile : T hooks: 2.937475 2021-05-27 01:10:09.706: INFO @main_loop : Epoch 288 done 2021-05-27 01:10:09.706: INFO @main_loop : Training epoch 289 2021-05-27 01:10:28.111: INFO @log_variables: train loss nanmean: 1.256851 2021-05-27 01:10:28.112: INFO @log_variables: train age_loss mean: 0.985634 2021-05-27 01:10:28.112: INFO @log_variables: train gender_loss mean: 0.377177 2021-05-27 01:10:28.112: INFO @log_variables: train age_mae mean: 10.991096 2021-05-27 01:10:28.112: INFO @log_variables: train gender_accuracy mean: 0.831091 2021-05-27 01:10:28.112: INFO @log_variables: train artificial_age_loss mean: 0.210776 2021-05-27 01:10:28.112: INFO @log_variables: train gender_confidence/loss nanmean: 0.071879 2021-05-27 01:10:28.112: INFO @log_variables: train gender_confidence/accuracy mean: 0.744430 2021-05-27 01:10:28.112: INFO @log_variables: train age_confidence/loss mean: 0.054183 2021-05-27 01:10:28.112: INFO @log_variables: train age_confidence/accuracy mean: 0.687211 2021-05-27 01:10:28.112: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:10:28.114: INFO @metrics_hook: train age_mae: 10.991 +-0.169 (13824) 2021-05-27 01:10:28.116: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:10:30.313: INFO @decay_lr : LR updated to `7.046785e-05` 2021-05-27 01:10:30.314: INFO @log_profile : T train: 17.479845 2021-05-27 01:10:30.314: INFO @log_profile : T read data: 0.281590 2021-05-27 01:10:30.315: INFO @log_profile : T hooks: 2.795539 2021-05-27 01:10:30.315: INFO @main_loop : Epoch 289 done 2021-05-27 01:10:30.315: INFO @main_loop : Training epoch 290 2021-05-27 01:10:48.965: INFO @log_variables: train loss nanmean: 1.230330 2021-05-27 01:10:48.965: INFO @log_variables: train age_loss mean: 0.985939 2021-05-27 01:10:48.965: INFO @log_variables: train gender_loss mean: 0.381210 2021-05-27 01:10:48.965: INFO @log_variables: train age_mae mean: 11.007345 2021-05-27 01:10:48.965: INFO @log_variables: train gender_accuracy mean: 0.827779 2021-05-27 01:10:48.965: INFO @log_variables: train artificial_age_loss mean: 0.210500 2021-05-27 01:10:48.965: INFO @log_variables: train gender_confidence/loss nanmean: 0.071870 2021-05-27 01:10:48.965: INFO @log_variables: train gender_confidence/accuracy mean: 0.742718 2021-05-27 01:10:48.965: INFO @log_variables: train age_confidence/loss mean: 0.054440 2021-05-27 01:10:48.965: INFO @log_variables: train age_confidence/accuracy mean: 0.687726 2021-05-27 01:10:48.965: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:10:48.967: INFO @metrics_hook: train age_mae: 11.007 +-0.170 (13802) 2021-05-27 01:10:48.968: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13802) 2021-05-27 01:10:51.359: INFO @decay_lr : LR updated to `7.0115515e-05` 2021-05-27 01:10:51.361: INFO @log_profile : T train: 17.549115 2021-05-27 01:10:51.361: INFO @log_profile : T read data: 0.456493 2021-05-27 01:10:51.361: INFO @log_profile : T hooks: 2.988115 2021-05-27 01:10:51.362: INFO @main_loop : Epoch 290 done 2021-05-27 01:10:51.362: INFO @main_loop : Training epoch 291 2021-05-27 01:11:10.637: INFO @log_variables: train loss nanmean: 1.253726 2021-05-27 01:11:10.637: INFO @log_variables: train age_loss mean: 0.985251 2021-05-27 01:11:10.637: INFO @log_variables: train gender_loss mean: 0.375363 2021-05-27 01:11:10.637: INFO @log_variables: train age_mae mean: 10.963970 2021-05-27 01:11:10.637: INFO @log_variables: train gender_accuracy mean: 0.829572 2021-05-27 01:11:10.637: INFO @log_variables: train artificial_age_loss mean: 0.210148 2021-05-27 01:11:10.637: INFO @log_variables: train gender_confidence/loss nanmean: 0.071932 2021-05-27 01:11:10.637: INFO @log_variables: train gender_confidence/accuracy mean: 0.738571 2021-05-27 01:11:10.638: INFO @log_variables: train age_confidence/loss mean: 0.053547 2021-05-27 01:11:10.638: INFO @log_variables: train age_confidence/accuracy mean: 0.697555 2021-05-27 01:11:10.638: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:11:10.639: INFO @metrics_hook: train age_mae: 10.964 +-0.167 (13824) 2021-05-27 01:11:10.640: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-05-27 01:11:12.948: INFO @decay_lr : LR updated to `6.976494e-05` 2021-05-27 01:11:12.949: INFO @log_profile : T train: 18.331304 2021-05-27 01:11:12.949: INFO @log_profile : T read data: 0.304083 2021-05-27 01:11:12.949: INFO @log_profile : T hooks: 2.900296 2021-05-27 01:11:12.950: INFO @main_loop : Epoch 291 done 2021-05-27 01:11:12.950: INFO @main_loop : Training epoch 292 2021-05-27 01:11:32.160: INFO @log_variables: train loss nanmean: 1.236654 2021-05-27 01:11:32.160: INFO @log_variables: train age_loss mean: 0.967917 2021-05-27 01:11:32.160: INFO @log_variables: train gender_loss mean: 0.379332 2021-05-27 01:11:32.160: INFO @log_variables: train age_mae mean: 10.838345 2021-05-27 01:11:32.160: INFO @log_variables: train gender_accuracy mean: 0.828993 2021-05-27 01:11:32.160: INFO @log_variables: train artificial_age_loss mean: 0.210750 2021-05-27 01:11:32.160: INFO @log_variables: train gender_confidence/loss nanmean: 0.071828 2021-05-27 01:11:32.160: INFO @log_variables: train gender_confidence/accuracy mean: 0.739149 2021-05-27 01:11:32.160: INFO @log_variables: train age_confidence/loss mean: 0.055354 2021-05-27 01:11:32.160: INFO @log_variables: train age_confidence/accuracy mean: 0.681134 2021-05-27 01:11:32.160: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:11:32.162: INFO @metrics_hook: train age_mae: 10.838 +-0.168 (13824) 2021-05-27 01:11:32.163: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:11:34.362: INFO @decay_lr : LR updated to `6.941611e-05` 2021-05-27 01:11:34.363: INFO @log_profile : T train: 18.246341 2021-05-27 01:11:34.363: INFO @log_profile : T read data: 0.302274 2021-05-27 01:11:34.363: INFO @log_profile : T hooks: 2.810463 2021-05-27 01:11:34.363: INFO @main_loop : Epoch 292 done 2021-05-27 01:11:34.363: INFO @main_loop : Training epoch 293 2021-05-27 01:11:53.609: INFO @log_variables: train loss nanmean: 1.237453 2021-05-27 01:11:53.609: INFO @log_variables: train age_loss mean: 0.979800 2021-05-27 01:11:53.610: INFO @log_variables: train gender_loss mean: 0.373519 2021-05-27 01:11:53.610: INFO @log_variables: train age_mae mean: 10.943748 2021-05-27 01:11:53.610: INFO @log_variables: train gender_accuracy mean: 0.828704 2021-05-27 01:11:53.610: INFO @log_variables: train artificial_age_loss mean: 0.211608 2021-05-27 01:11:53.610: INFO @log_variables: train gender_confidence/loss nanmean: 0.071962 2021-05-27 01:11:53.610: INFO @log_variables: train gender_confidence/accuracy mean: 0.742983 2021-05-27 01:11:53.610: INFO @log_variables: train age_confidence/loss mean: 0.054885 2021-05-27 01:11:53.610: INFO @log_variables: train age_confidence/accuracy mean: 0.686126 2021-05-27 01:11:53.610: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:11:53.612: INFO @metrics_hook: train age_mae: 10.944 +-0.169 (13824) 2021-05-27 01:11:53.614: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:11:55.981: INFO @decay_lr : LR updated to `6.9069036e-05` 2021-05-27 01:11:55.983: INFO @log_profile : T train: 18.301843 2021-05-27 01:11:55.983: INFO @log_profile : T read data: 0.284427 2021-05-27 01:11:55.983: INFO @log_profile : T hooks: 2.980708 2021-05-27 01:11:55.983: INFO @main_loop : Epoch 293 done 2021-05-27 01:11:55.983: INFO @main_loop : Training epoch 294 2021-05-27 01:12:15.413: INFO @log_variables: train loss nanmean: 1.224937 2021-05-27 01:12:15.413: INFO @log_variables: train age_loss mean: 0.974194 2021-05-27 01:12:15.413: INFO @log_variables: train gender_loss mean: 0.370608 2021-05-27 01:12:15.413: INFO @log_variables: train age_mae mean: 10.890254 2021-05-27 01:12:15.413: INFO @log_variables: train gender_accuracy mean: 0.831908 2021-05-27 01:12:15.413: INFO @log_variables: train artificial_age_loss mean: 0.212188 2021-05-27 01:12:15.413: INFO @log_variables: train gender_confidence/loss nanmean: 0.071151 2021-05-27 01:12:15.413: INFO @log_variables: train gender_confidence/accuracy mean: 0.742791 2021-05-27 01:12:15.413: INFO @log_variables: train age_confidence/loss mean: 0.054120 2021-05-27 01:12:15.413: INFO @log_variables: train age_confidence/accuracy mean: 0.692146 2021-05-27 01:12:15.414: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:12:15.415: INFO @metrics_hook: train age_mae: 10.890 +-0.167 (13802) 2021-05-27 01:12:15.417: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13802) 2021-05-27 01:12:17.753: INFO @decay_lr : LR updated to `6.872369e-05` 2021-05-27 01:12:17.754: INFO @log_profile : T train: 18.352269 2021-05-27 01:12:17.754: INFO @log_profile : T read data: 0.423232 2021-05-27 01:12:17.754: INFO @log_profile : T hooks: 2.943690 2021-05-27 01:12:17.755: INFO @main_loop : Epoch 294 done 2021-05-27 01:12:17.755: INFO @main_loop : Training epoch 295 2021-05-27 01:12:36.979: INFO @log_variables: train loss nanmean: 1.238566 2021-05-27 01:12:36.979: INFO @log_variables: train age_loss mean: 0.976508 2021-05-27 01:12:36.980: INFO @log_variables: train gender_loss mean: 0.374053 2021-05-27 01:12:36.980: INFO @log_variables: train age_mae mean: 10.891514 2021-05-27 01:12:36.980: INFO @log_variables: train gender_accuracy mean: 0.831019 2021-05-27 01:12:36.980: INFO @log_variables: train artificial_age_loss mean: 0.212589 2021-05-27 01:12:36.980: INFO @log_variables: train gender_confidence/loss nanmean: 0.071720 2021-05-27 01:12:36.980: INFO @log_variables: train gender_confidence/accuracy mean: 0.749204 2021-05-27 01:12:36.980: INFO @log_variables: train age_confidence/loss mean: 0.054629 2021-05-27 01:12:36.980: INFO @log_variables: train age_confidence/accuracy mean: 0.688368 2021-05-27 01:12:36.980: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:12:36.984: INFO @metrics_hook: train age_mae: 10.892 +-0.169 (13824) 2021-05-27 01:12:36.987: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:12:39.391: INFO @decay_lr : LR updated to `6.838007e-05` 2021-05-27 01:12:39.392: INFO @log_profile : T train: 18.278221 2021-05-27 01:12:39.392: INFO @log_profile : T read data: 0.284666 2021-05-27 01:12:39.392: INFO @log_profile : T hooks: 3.021969 2021-05-27 01:12:39.392: INFO @main_loop : Epoch 295 done 2021-05-27 01:12:39.392: INFO @main_loop : Training epoch 296 2021-05-27 01:12:58.499: INFO @log_variables: train loss nanmean: 1.251440 2021-05-27 01:12:58.499: INFO @log_variables: train age_loss mean: 0.989514 2021-05-27 01:12:58.499: INFO @log_variables: train gender_loss mean: 0.378809 2021-05-27 01:12:58.499: INFO @log_variables: train age_mae mean: 11.027631 2021-05-27 01:12:58.499: INFO @log_variables: train gender_accuracy mean: 0.827606 2021-05-27 01:12:58.499: INFO @log_variables: train artificial_age_loss mean: 0.209805 2021-05-27 01:12:58.500: INFO @log_variables: train gender_confidence/loss nanmean: 0.071594 2021-05-27 01:12:58.500: INFO @log_variables: train gender_confidence/accuracy mean: 0.748824 2021-05-27 01:12:58.500: INFO @log_variables: train age_confidence/loss mean: 0.053681 2021-05-27 01:12:58.500: INFO @log_variables: train age_confidence/accuracy mean: 0.694422 2021-05-27 01:12:58.500: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:12:58.502: INFO @metrics_hook: train age_mae: 11.028 +-0.168 (13823) 2021-05-27 01:12:58.504: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13823) 2021-05-27 01:13:00.840: INFO @decay_lr : LR updated to `6.803817e-05` 2021-05-27 01:13:00.841: INFO @log_profile : T train: 18.150591 2021-05-27 01:13:00.842: INFO @log_profile : T read data: 0.298546 2021-05-27 01:13:00.842: INFO @log_profile : T hooks: 2.947809 2021-05-27 01:13:00.842: INFO @main_loop : Epoch 296 done 2021-05-27 01:13:00.842: INFO @main_loop : Training epoch 297 2021-05-27 01:13:20.160: INFO @log_variables: train loss nanmean: 1.218608 2021-05-27 01:13:20.161: INFO @log_variables: train age_loss mean: 0.972009 2021-05-27 01:13:20.161: INFO @log_variables: train gender_loss mean: 0.368622 2021-05-27 01:13:20.161: INFO @log_variables: train age_mae mean: 10.874064 2021-05-27 01:13:20.161: INFO @log_variables: train gender_accuracy mean: 0.831525 2021-05-27 01:13:20.161: INFO @log_variables: train artificial_age_loss mean: 0.210789 2021-05-27 01:13:20.161: INFO @log_variables: train gender_confidence/loss nanmean: 0.071370 2021-05-27 01:13:20.161: INFO @log_variables: train gender_confidence/accuracy mean: 0.753400 2021-05-27 01:13:20.161: INFO @log_variables: train age_confidence/loss mean: 0.055137 2021-05-27 01:13:20.161: INFO @log_variables: train age_confidence/accuracy mean: 0.683087 2021-05-27 01:13:20.161: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:13:20.163: INFO @metrics_hook: train age_mae: 10.874 +-0.167 (13824) 2021-05-27 01:13:20.165: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-05-27 01:13:22.445: INFO @decay_lr : LR updated to `6.769798e-05` 2021-05-27 01:13:22.446: INFO @log_profile : T train: 18.361200 2021-05-27 01:13:22.446: INFO @log_profile : T read data: 0.303289 2021-05-27 01:13:22.446: INFO @log_profile : T hooks: 2.885842 2021-05-27 01:13:22.446: INFO @main_loop : Epoch 297 done 2021-05-27 01:13:22.446: INFO @main_loop : Training epoch 298 2021-05-27 01:13:41.385: INFO @log_variables: train loss nanmean: 1.212789 2021-05-27 01:13:41.385: INFO @log_variables: train age_loss mean: 0.956794 2021-05-27 01:13:41.385: INFO @log_variables: train gender_loss mean: 0.371216 2021-05-27 01:13:41.385: INFO @log_variables: train age_mae mean: 10.740722 2021-05-27 01:13:41.385: INFO @log_variables: train gender_accuracy mean: 0.831474 2021-05-27 01:13:41.385: INFO @log_variables: train artificial_age_loss mean: 0.209729 2021-05-27 01:13:41.385: INFO @log_variables: train gender_confidence/loss nanmean: 0.071256 2021-05-27 01:13:41.385: INFO @log_variables: train gender_confidence/accuracy mean: 0.748805 2021-05-27 01:13:41.385: INFO @log_variables: train age_confidence/loss mean: 0.055089 2021-05-27 01:13:41.385: INFO @log_variables: train age_confidence/accuracy mean: 0.680191 2021-05-27 01:13:41.385: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:13:41.387: INFO @metrics_hook: train age_mae: 10.741 +-0.166 (13802) 2021-05-27 01:13:41.388: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13802) 2021-05-27 01:13:43.606: INFO @decay_lr : LR updated to `6.735949e-05` 2021-05-27 01:13:43.607: INFO @log_profile : T train: 17.840806 2021-05-27 01:13:43.607: INFO @log_profile : T read data: 0.456759 2021-05-27 01:13:43.608: INFO @log_profile : T hooks: 2.809856 2021-05-27 01:13:43.608: INFO @main_loop : Epoch 298 done 2021-05-27 01:13:43.608: INFO @main_loop : Training epoch 299 2021-05-27 01:14:02.100: INFO @log_variables: train loss nanmean: 1.229376 2021-05-27 01:14:02.101: INFO @log_variables: train age_loss mean: 0.967147 2021-05-27 01:14:02.101: INFO @log_variables: train gender_loss mean: 0.377788 2021-05-27 01:14:02.101: INFO @log_variables: train age_mae mean: 10.816277 2021-05-27 01:14:02.101: INFO @log_variables: train gender_accuracy mean: 0.830006 2021-05-27 01:14:02.101: INFO @log_variables: train artificial_age_loss mean: 0.210725 2021-05-27 01:14:02.101: INFO @log_variables: train gender_confidence/loss nanmean: 0.072709 2021-05-27 01:14:02.101: INFO @log_variables: train gender_confidence/accuracy mean: 0.740741 2021-05-27 01:14:02.101: INFO @log_variables: train age_confidence/loss mean: 0.054784 2021-05-27 01:14:02.101: INFO @log_variables: train age_confidence/accuracy mean: 0.681785 2021-05-27 01:14:02.101: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:14:02.103: INFO @metrics_hook: train age_mae: 10.816 +-0.167 (13824) 2021-05-27 01:14:02.104: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13824) 2021-05-27 01:14:04.379: INFO @decay_lr : LR updated to `6.7022695e-05` 2021-05-27 01:14:04.381: INFO @log_profile : T train: 17.547317 2021-05-27 01:14:04.381: INFO @log_profile : T read data: 0.311305 2021-05-27 01:14:04.381: INFO @log_profile : T hooks: 2.863316 2021-05-27 01:14:04.381: INFO @main_loop : Epoch 299 done 2021-05-27 01:14:04.381: INFO @main_loop : Training epoch 300 2021-05-27 01:14:22.957: INFO @log_variables: train loss nanmean: 1.254573 2021-05-27 01:14:22.957: INFO @log_variables: train age_loss mean: 0.989456 2021-05-27 01:14:22.957: INFO @log_variables: train gender_loss mean: 0.378766 2021-05-27 01:14:22.957: INFO @log_variables: train age_mae mean: 11.034961 2021-05-27 01:14:22.957: INFO @log_variables: train gender_accuracy mean: 0.826244 2021-05-27 01:14:22.957: INFO @log_variables: train artificial_age_loss mean: 0.213492 2021-05-27 01:14:22.958: INFO @log_variables: train gender_confidence/loss nanmean: 0.070985 2021-05-27 01:14:22.958: INFO @log_variables: train gender_confidence/accuracy mean: 0.749855 2021-05-27 01:14:22.958: INFO @log_variables: train age_confidence/loss mean: 0.053896 2021-05-27 01:14:22.958: INFO @log_variables: train age_confidence/accuracy mean: 0.695819 2021-05-27 01:14:22.958: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:14:22.960: INFO @metrics_hook: train age_mae: 11.035 +-0.169 (13824) 2021-05-27 01:14:22.962: INFO @metrics_hook: train gender_accuracy: 0.826 +-0.006 (13824) 2021-05-27 01:14:25.289: INFO @decay_lr : LR updated to `6.668758e-05` 2021-05-27 01:14:25.290: INFO @log_profile : T train: 17.607913 2021-05-27 01:14:25.290: INFO @log_profile : T read data: 0.295055 2021-05-27 01:14:25.290: INFO @log_profile : T hooks: 2.952284 2021-05-27 01:14:25.290: INFO @main_loop : Epoch 300 done 2021-05-27 01:14:25.290: INFO @main_loop : Training epoch 301 2021-05-27 01:14:43.770: INFO @log_variables: train loss nanmean: 1.221925 2021-05-27 01:14:43.770: INFO @log_variables: train age_loss mean: 0.971010 2021-05-27 01:14:43.770: INFO @log_variables: train gender_loss mean: 0.369796 2021-05-27 01:14:43.770: INFO @log_variables: train age_mae mean: 10.868758 2021-05-27 01:14:43.771: INFO @log_variables: train gender_accuracy mean: 0.831308 2021-05-27 01:14:43.771: INFO @log_variables: train artificial_age_loss mean: 0.209257 2021-05-27 01:14:43.771: INFO @log_variables: train gender_confidence/loss nanmean: 0.071572 2021-05-27 01:14:43.771: INFO @log_variables: train gender_confidence/accuracy mean: 0.748481 2021-05-27 01:14:43.771: INFO @log_variables: train age_confidence/loss mean: 0.055404 2021-05-27 01:14:43.771: INFO @log_variables: train age_confidence/accuracy mean: 0.680339 2021-05-27 01:14:43.771: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:14:43.773: INFO @metrics_hook: train age_mae: 10.869 +-0.169 (13824) 2021-05-27 01:14:43.777: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:14:46.218: INFO @decay_lr : LR updated to `6.635414e-05` 2021-05-27 01:14:46.219: INFO @log_profile : T train: 17.560515 2021-05-27 01:14:46.219: INFO @log_profile : T read data: 0.284362 2021-05-27 01:14:46.219: INFO @log_profile : T hooks: 3.032220 2021-05-27 01:14:46.219: INFO @main_loop : Epoch 301 done 2021-05-27 01:14:46.220: INFO @main_loop : Training epoch 302 2021-05-27 01:15:05.200: INFO @log_variables: train loss nanmean: 1.220084 2021-05-27 01:15:05.200: INFO @log_variables: train age_loss mean: 0.977662 2021-05-27 01:15:05.200: INFO @log_variables: train gender_loss mean: 0.371759 2021-05-27 01:15:05.200: INFO @log_variables: train age_mae mean: 10.935580 2021-05-27 01:15:05.200: INFO @log_variables: train gender_accuracy mean: 0.835531 2021-05-27 01:15:05.201: INFO @log_variables: train artificial_age_loss mean: 0.212424 2021-05-27 01:15:05.201: INFO @log_variables: train gender_confidence/loss nanmean: 0.071784 2021-05-27 01:15:05.201: INFO @log_variables: train gender_confidence/accuracy mean: 0.746124 2021-05-27 01:15:05.201: INFO @log_variables: train age_confidence/loss mean: 0.054022 2021-05-27 01:15:05.201: INFO @log_variables: train age_confidence/accuracy mean: 0.695551 2021-05-27 01:15:05.201: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:15:05.203: INFO @metrics_hook: train age_mae: 10.936 +-0.168 (13802) 2021-05-27 01:15:05.205: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13802) 2021-05-27 01:15:07.491: INFO @decay_lr : LR updated to `6.6022374e-05` 2021-05-27 01:15:07.492: INFO @log_profile : T train: 17.883185 2021-05-27 01:15:07.492: INFO @log_profile : T read data: 0.434673 2021-05-27 01:15:07.492: INFO @log_profile : T hooks: 2.902835 2021-05-27 01:15:07.493: INFO @main_loop : Epoch 302 done 2021-05-27 01:15:07.493: INFO @main_loop : Training epoch 303 2021-05-27 01:15:26.723: INFO @log_variables: train loss nanmean: 1.258932 2021-05-27 01:15:26.723: INFO @log_variables: train age_loss mean: 0.986263 2021-05-27 01:15:26.723: INFO @log_variables: train gender_loss mean: 0.371667 2021-05-27 01:15:26.723: INFO @log_variables: train age_mae mean: 11.011570 2021-05-27 01:15:26.724: INFO @log_variables: train gender_accuracy mean: 0.830801 2021-05-27 01:15:26.724: INFO @log_variables: train artificial_age_loss mean: 0.210582 2021-05-27 01:15:26.724: INFO @log_variables: train gender_confidence/loss nanmean: 0.071210 2021-05-27 01:15:26.724: INFO @log_variables: train gender_confidence/accuracy mean: 0.742260 2021-05-27 01:15:26.724: INFO @log_variables: train age_confidence/loss mean: 0.053894 2021-05-27 01:15:26.724: INFO @log_variables: train age_confidence/accuracy mean: 0.691985 2021-05-27 01:15:26.724: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:15:26.727: INFO @metrics_hook: train age_mae: 11.012 +-0.171 (13824) 2021-05-27 01:15:26.730: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:15:29.086: INFO @decay_lr : LR updated to `6.5692264e-05` 2021-05-27 01:15:29.087: INFO @log_profile : T train: 18.242692 2021-05-27 01:15:29.087: INFO @log_profile : T read data: 0.301291 2021-05-27 01:15:29.087: INFO @log_profile : T hooks: 2.996650 2021-05-27 01:15:29.087: INFO @main_loop : Epoch 303 done 2021-05-27 01:15:29.087: INFO @main_loop : Training epoch 304 2021-05-27 01:15:47.610: INFO @log_variables: train loss nanmean: 1.227805 2021-05-27 01:15:47.610: INFO @log_variables: train age_loss mean: 0.966363 2021-05-27 01:15:47.611: INFO @log_variables: train gender_loss mean: 0.379232 2021-05-27 01:15:47.611: INFO @log_variables: train age_mae mean: 10.803807 2021-05-27 01:15:47.611: INFO @log_variables: train gender_accuracy mean: 0.829210 2021-05-27 01:15:47.611: INFO @log_variables: train artificial_age_loss mean: 0.210770 2021-05-27 01:15:47.611: INFO @log_variables: train gender_confidence/loss nanmean: 0.072107 2021-05-27 01:15:47.611: INFO @log_variables: train gender_confidence/accuracy mean: 0.741970 2021-05-27 01:15:47.611: INFO @log_variables: train age_confidence/loss mean: 0.054449 2021-05-27 01:15:47.611: INFO @log_variables: train age_confidence/accuracy mean: 0.690032 2021-05-27 01:15:47.611: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:15:47.612: INFO @metrics_hook: train age_mae: 10.804 +-0.166 (13824) 2021-05-27 01:15:47.613: INFO @metrics_hook: train gender_accuracy: 0.829 +-0.006 (13824) 2021-05-27 01:15:49.982: INFO @decay_lr : LR updated to `6.5363805e-05` 2021-05-27 01:15:49.984: INFO @log_profile : T train: 17.569123 2021-05-27 01:15:49.984: INFO @log_profile : T read data: 0.293419 2021-05-27 01:15:49.984: INFO @log_profile : T hooks: 2.980253 2021-05-27 01:15:49.984: INFO @main_loop : Epoch 304 done 2021-05-27 01:15:49.984: INFO @main_loop : Training epoch 305 2021-05-27 01:16:08.504: INFO @log_variables: train loss nanmean: 1.228701 2021-05-27 01:16:08.505: INFO @log_variables: train age_loss mean: 0.978220 2021-05-27 01:16:08.505: INFO @log_variables: train gender_loss mean: 0.373643 2021-05-27 01:16:08.505: INFO @log_variables: train age_mae mean: 10.924329 2021-05-27 01:16:08.505: INFO @log_variables: train gender_accuracy mean: 0.831163 2021-05-27 01:16:08.505: INFO @log_variables: train artificial_age_loss mean: 0.209266 2021-05-27 01:16:08.505: INFO @log_variables: train gender_confidence/loss nanmean: 0.072201 2021-05-27 01:16:08.505: INFO @log_variables: train gender_confidence/accuracy mean: 0.745009 2021-05-27 01:16:08.505: INFO @log_variables: train age_confidence/loss mean: 0.054902 2021-05-27 01:16:08.505: INFO @log_variables: train age_confidence/accuracy mean: 0.690032 2021-05-27 01:16:08.505: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:16:08.507: INFO @metrics_hook: train age_mae: 10.924 +-0.169 (13824) 2021-05-27 01:16:08.508: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:16:10.851: INFO @decay_lr : LR updated to `6.5036984e-05` 2021-05-27 01:16:10.852: INFO @log_profile : T train: 17.573080 2021-05-27 01:16:10.852: INFO @log_profile : T read data: 0.288275 2021-05-27 01:16:10.852: INFO @log_profile : T hooks: 2.951691 2021-05-27 01:16:10.852: INFO @main_loop : Epoch 305 done 2021-05-27 01:16:10.852: INFO @main_loop : Training epoch 306 2021-05-27 01:16:29.257: INFO @log_variables: train loss nanmean: 1.239016 2021-05-27 01:16:29.257: INFO @log_variables: train age_loss mean: 0.979385 2021-05-27 01:16:29.257: INFO @log_variables: train gender_loss mean: 0.378978 2021-05-27 01:16:29.257: INFO @log_variables: train age_mae mean: 10.944845 2021-05-27 01:16:29.258: INFO @log_variables: train gender_accuracy mean: 0.827851 2021-05-27 01:16:29.258: INFO @log_variables: train artificial_age_loss mean: 0.209315 2021-05-27 01:16:29.258: INFO @log_variables: train gender_confidence/loss nanmean: 0.071422 2021-05-27 01:16:29.258: INFO @log_variables: train gender_confidence/accuracy mean: 0.738878 2021-05-27 01:16:29.258: INFO @log_variables: train age_confidence/loss mean: 0.054721 2021-05-27 01:16:29.258: INFO @log_variables: train age_confidence/accuracy mean: 0.685553 2021-05-27 01:16:29.258: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:16:29.259: INFO @metrics_hook: train age_mae: 10.945 +-0.169 (13802) 2021-05-27 01:16:29.261: INFO @metrics_hook: train gender_accuracy: 0.828 +-0.006 (13802) 2021-05-27 01:16:31.658: INFO @decay_lr : LR updated to `6.47118e-05` 2021-05-27 01:16:31.660: INFO @log_profile : T train: 17.307435 2021-05-27 01:16:31.660: INFO @log_profile : T read data: 0.454348 2021-05-27 01:16:31.660: INFO @log_profile : T hooks: 2.992922 2021-05-27 01:16:31.660: INFO @main_loop : Epoch 306 done 2021-05-27 01:16:31.660: INFO @main_loop : Training epoch 307 2021-05-27 01:16:50.207: INFO @log_variables: train loss nanmean: 1.237252 2021-05-27 01:16:50.207: INFO @log_variables: train age_loss mean: 0.965736 2021-05-27 01:16:50.207: INFO @log_variables: train gender_loss mean: 0.375942 2021-05-27 01:16:50.207: INFO @log_variables: train age_mae mean: 10.790291 2021-05-27 01:16:50.207: INFO @log_variables: train gender_accuracy mean: 0.831670 2021-05-27 01:16:50.207: INFO @log_variables: train artificial_age_loss mean: 0.212116 2021-05-27 01:16:50.207: INFO @log_variables: train gender_confidence/loss nanmean: 0.072475 2021-05-27 01:16:50.208: INFO @log_variables: train gender_confidence/accuracy mean: 0.743128 2021-05-27 01:16:50.208: INFO @log_variables: train age_confidence/loss mean: 0.054771 2021-05-27 01:16:50.208: INFO @log_variables: train age_confidence/accuracy mean: 0.686270 2021-05-27 01:16:50.208: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:16:50.210: INFO @metrics_hook: train age_mae: 10.790 +-0.165 (13824) 2021-05-27 01:16:50.211: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-05-27 01:16:52.475: INFO @decay_lr : LR updated to `6.438824e-05` 2021-05-27 01:16:52.477: INFO @log_profile : T train: 17.582899 2021-05-27 01:16:52.477: INFO @log_profile : T read data: 0.302984 2021-05-27 01:16:52.477: INFO @log_profile : T hooks: 2.877207 2021-05-27 01:16:52.477: INFO @main_loop : Epoch 307 done 2021-05-27 01:16:52.477: INFO @main_loop : Training epoch 308 2021-05-27 01:17:11.836: INFO @log_variables: train loss nanmean: 1.220170 2021-05-27 01:17:11.837: INFO @log_variables: train age_loss mean: 0.975230 2021-05-27 01:17:11.837: INFO @log_variables: train gender_loss mean: 0.367710 2021-05-27 01:17:11.837: INFO @log_variables: train age_mae mean: 10.898633 2021-05-27 01:17:11.837: INFO @log_variables: train gender_accuracy mean: 0.833695 2021-05-27 01:17:11.837: INFO @log_variables: train artificial_age_loss mean: 0.210993 2021-05-27 01:17:11.837: INFO @log_variables: train gender_confidence/loss nanmean: 0.071612 2021-05-27 01:17:11.837: INFO @log_variables: train gender_confidence/accuracy mean: 0.749204 2021-05-27 01:17:11.837: INFO @log_variables: train age_confidence/loss mean: 0.054645 2021-05-27 01:17:11.837: INFO @log_variables: train age_confidence/accuracy mean: 0.687428 2021-05-27 01:17:11.837: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:17:11.839: INFO @metrics_hook: train age_mae: 10.899 +-0.169 (13824) 2021-05-27 01:17:11.841: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-05-27 01:17:14.097: INFO @decay_lr : LR updated to `6.40663e-05` 2021-05-27 01:17:14.098: INFO @log_profile : T train: 18.396805 2021-05-27 01:17:14.098: INFO @log_profile : T read data: 0.280603 2021-05-27 01:17:14.098: INFO @log_profile : T hooks: 2.890455 2021-05-27 01:17:14.099: INFO @main_loop : Epoch 308 done 2021-05-27 01:17:14.099: INFO @main_loop : Training epoch 309 2021-05-27 01:17:33.437: INFO @log_variables: train loss nanmean: 1.230082 2021-05-27 01:17:33.437: INFO @log_variables: train age_loss mean: 0.966473 2021-05-27 01:17:33.437: INFO @log_variables: train gender_loss mean: 0.371003 2021-05-27 01:17:33.437: INFO @log_variables: train age_mae mean: 10.815032 2021-05-27 01:17:33.437: INFO @log_variables: train gender_accuracy mean: 0.835576 2021-05-27 01:17:33.438: INFO @log_variables: train artificial_age_loss mean: 0.210083 2021-05-27 01:17:33.438: INFO @log_variables: train gender_confidence/loss nanmean: 0.072652 2021-05-27 01:17:33.438: INFO @log_variables: train gender_confidence/accuracy mean: 0.745443 2021-05-27 01:17:33.438: INFO @log_variables: train age_confidence/loss mean: 0.054609 2021-05-27 01:17:33.438: INFO @log_variables: train age_confidence/accuracy mean: 0.685330 2021-05-27 01:17:33.438: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:17:33.440: INFO @metrics_hook: train age_mae: 10.815 +-0.166 (13824) 2021-05-27 01:17:33.442: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-05-27 01:17:35.735: INFO @decay_lr : LR updated to `6.374597e-05` 2021-05-27 01:17:35.736: INFO @log_profile : T train: 18.337877 2021-05-27 01:17:35.736: INFO @log_profile : T read data: 0.312287 2021-05-27 01:17:35.736: INFO @log_profile : T hooks: 2.932617 2021-05-27 01:17:35.736: INFO @main_loop : Epoch 309 done 2021-05-27 01:17:35.736: INFO @main_loop : Training epoch 310 2021-05-27 01:17:54.867: INFO @log_variables: train loss nanmean: 1.229923 2021-05-27 01:17:54.868: INFO @log_variables: train age_loss mean: 0.958987 2021-05-27 01:17:54.868: INFO @log_variables: train gender_loss mean: 0.374086 2021-05-27 01:17:54.868: INFO @log_variables: train age_mae mean: 10.742026 2021-05-27 01:17:54.868: INFO @log_variables: train gender_accuracy mean: 0.830387 2021-05-27 01:17:54.868: INFO @log_variables: train artificial_age_loss mean: 0.211370 2021-05-27 01:17:54.868: INFO @log_variables: train gender_confidence/loss nanmean: 0.071672 2021-05-27 01:17:54.868: INFO @log_variables: train gender_confidence/accuracy mean: 0.740545 2021-05-27 01:17:54.868: INFO @log_variables: train age_confidence/loss mean: 0.054933 2021-05-27 01:17:54.868: INFO @log_variables: train age_confidence/accuracy mean: 0.685915 2021-05-27 01:17:54.868: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:17:54.871: INFO @metrics_hook: train age_mae: 10.742 +-0.166 (13802) 2021-05-27 01:17:54.873: INFO @metrics_hook: train gender_accuracy: 0.830 +-0.006 (13802) 2021-05-27 01:17:57.048: INFO @decay_lr : LR updated to `6.342724e-05` 2021-05-27 01:17:57.049: INFO @log_profile : T train: 17.975995 2021-05-27 01:17:57.050: INFO @log_profile : T read data: 0.448947 2021-05-27 01:17:57.050: INFO @log_profile : T hooks: 2.833814 2021-05-27 01:17:57.050: INFO @main_loop : Epoch 310 done 2021-05-27 01:17:57.050: INFO @main_loop : Training epoch 311 2021-05-27 01:18:16.259: INFO @log_variables: train loss nanmean: 1.200131 2021-05-27 01:18:16.260: INFO @log_variables: train age_loss mean: 0.949701 2021-05-27 01:18:16.260: INFO @log_variables: train gender_loss mean: 0.366321 2021-05-27 01:18:16.260: INFO @log_variables: train age_mae mean: 10.671282 2021-05-27 01:18:16.260: INFO @log_variables: train gender_accuracy mean: 0.835648 2021-05-27 01:18:16.260: INFO @log_variables: train artificial_age_loss mean: 0.209499 2021-05-27 01:18:16.260: INFO @log_variables: train gender_confidence/loss nanmean: 0.071450 2021-05-27 01:18:16.260: INFO @log_variables: train gender_confidence/accuracy mean: 0.747902 2021-05-27 01:18:16.260: INFO @log_variables: train age_confidence/loss mean: 0.055718 2021-05-27 01:18:16.261: INFO @log_variables: train age_confidence/accuracy mean: 0.678385 2021-05-27 01:18:16.261: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:18:16.263: INFO @metrics_hook: train age_mae: 10.671 +-0.166 (13824) 2021-05-27 01:18:16.265: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-05-27 01:18:18.430: INFO @decay_lr : LR updated to `6.31101e-05` 2021-05-27 01:18:18.431: INFO @log_profile : T train: 18.229326 2021-05-27 01:18:18.432: INFO @log_profile : T read data: 0.303060 2021-05-27 01:18:18.432: INFO @log_profile : T hooks: 2.796208 2021-05-27 01:18:18.432: INFO @main_loop : Epoch 311 done 2021-05-27 01:18:18.432: INFO @main_loop : Training epoch 312 2021-05-27 01:18:37.760: INFO @log_variables: train loss nanmean: 1.205505 2021-05-27 01:18:37.761: INFO @log_variables: train age_loss mean: 0.968503 2021-05-27 01:18:37.761: INFO @log_variables: train gender_loss mean: 0.367082 2021-05-27 01:18:37.761: INFO @log_variables: train age_mae mean: 10.844634 2021-05-27 01:18:37.761: INFO @log_variables: train gender_accuracy mean: 0.834756 2021-05-27 01:18:37.761: INFO @log_variables: train artificial_age_loss mean: 0.209671 2021-05-27 01:18:37.761: INFO @log_variables: train gender_confidence/loss nanmean: 0.071131 2021-05-27 01:18:37.761: INFO @log_variables: train gender_confidence/accuracy mean: 0.750470 2021-05-27 01:18:37.761: INFO @log_variables: train age_confidence/loss mean: 0.054893 2021-05-27 01:18:37.761: INFO @log_variables: train age_confidence/accuracy mean: 0.680582 2021-05-27 01:18:37.761: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:18:37.763: INFO @metrics_hook: train age_mae: 10.845 +-0.168 (13822) 2021-05-27 01:18:37.765: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13822) 2021-05-27 01:18:39.982: INFO @decay_lr : LR updated to `6.279455e-05` 2021-05-27 01:18:39.983: INFO @log_profile : T train: 18.358492 2021-05-27 01:18:39.983: INFO @log_profile : T read data: 0.296427 2021-05-27 01:18:39.983: INFO @log_profile : T hooks: 2.843264 2021-05-27 01:18:39.983: INFO @main_loop : Epoch 312 done 2021-05-27 01:18:39.983: INFO @main_loop : Training epoch 313 2021-05-27 01:18:59.028: INFO @log_variables: train loss nanmean: 1.233335 2021-05-27 01:18:59.028: INFO @log_variables: train age_loss mean: 0.966848 2021-05-27 01:18:59.028: INFO @log_variables: train gender_loss mean: 0.367233 2021-05-27 01:18:59.028: INFO @log_variables: train age_mae mean: 10.840666 2021-05-27 01:18:59.028: INFO @log_variables: train gender_accuracy mean: 0.831670 2021-05-27 01:18:59.028: INFO @log_variables: train artificial_age_loss mean: 0.209683 2021-05-27 01:18:59.029: INFO @log_variables: train gender_confidence/loss nanmean: 0.070604 2021-05-27 01:18:59.029: INFO @log_variables: train gender_confidence/accuracy mean: 0.750940 2021-05-27 01:18:59.029: INFO @log_variables: train age_confidence/loss mean: 0.055154 2021-05-27 01:18:59.029: INFO @log_variables: train age_confidence/accuracy mean: 0.686053 2021-05-27 01:18:59.029: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:18:59.032: INFO @metrics_hook: train age_mae: 10.841 +-0.168 (13824) 2021-05-27 01:18:59.035: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13824) 2021-05-27 01:19:01.284: INFO @decay_lr : LR updated to `6.2480576e-05` 2021-05-27 01:19:01.285: INFO @log_profile : T train: 18.053203 2021-05-27 01:19:01.285: INFO @log_profile : T read data: 0.318569 2021-05-27 01:19:01.285: INFO @log_profile : T hooks: 2.876123 2021-05-27 01:19:01.285: INFO @main_loop : Epoch 313 done 2021-05-27 01:19:01.285: INFO @main_loop : Training epoch 314 2021-05-27 01:19:20.285: INFO @log_variables: train loss nanmean: 1.217598 2021-05-27 01:19:20.285: INFO @log_variables: train age_loss mean: 0.967015 2021-05-27 01:19:20.285: INFO @log_variables: train gender_loss mean: 0.365219 2021-05-27 01:19:20.285: INFO @log_variables: train age_mae mean: 10.812314 2021-05-27 01:19:20.285: INFO @log_variables: train gender_accuracy mean: 0.833865 2021-05-27 01:19:20.285: INFO @log_variables: train artificial_age_loss mean: 0.208940 2021-05-27 01:19:20.285: INFO @log_variables: train gender_confidence/loss nanmean: 0.071530 2021-05-27 01:19:20.286: INFO @log_variables: train gender_confidence/accuracy mean: 0.745399 2021-05-27 01:19:20.286: INFO @log_variables: train age_confidence/loss mean: 0.054738 2021-05-27 01:19:20.286: INFO @log_variables: train age_confidence/accuracy mean: 0.683452 2021-05-27 01:19:20.286: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:19:20.288: INFO @metrics_hook: train age_mae: 10.812 +-0.166 (13802) 2021-05-27 01:19:20.290: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13802) 2021-05-27 01:19:22.511: INFO @decay_lr : LR updated to `6.2168176e-05` 2021-05-27 01:19:22.512: INFO @log_profile : T train: 17.849315 2021-05-27 01:19:22.512: INFO @log_profile : T read data: 0.484013 2021-05-27 01:19:22.512: INFO @log_profile : T hooks: 2.838836 2021-05-27 01:19:22.512: INFO @main_loop : Epoch 314 done 2021-05-27 01:19:22.512: INFO @main_loop : Training epoch 315 2021-05-27 01:19:41.849: INFO @log_variables: train loss nanmean: 1.230645 2021-05-27 01:19:41.849: INFO @log_variables: train age_loss mean: 0.967839 2021-05-27 01:19:41.850: INFO @log_variables: train gender_loss mean: 0.370248 2021-05-27 01:19:41.850: INFO @log_variables: train age_mae mean: 10.821037 2021-05-27 01:19:41.850: INFO @log_variables: train gender_accuracy mean: 0.833695 2021-05-27 01:19:41.850: INFO @log_variables: train artificial_age_loss mean: 0.210887 2021-05-27 01:19:41.850: INFO @log_variables: train gender_confidence/loss nanmean: 0.072478 2021-05-27 01:19:41.850: INFO @log_variables: train gender_confidence/accuracy mean: 0.741175 2021-05-27 01:19:41.850: INFO @log_variables: train age_confidence/loss mean: 0.055382 2021-05-27 01:19:41.850: INFO @log_variables: train age_confidence/accuracy mean: 0.680339 2021-05-27 01:19:41.850: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:19:41.852: INFO @metrics_hook: train age_mae: 10.821 +-0.169 (13824) 2021-05-27 01:19:41.853: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-05-27 01:19:44.045: INFO @decay_lr : LR updated to `6.185733e-05` 2021-05-27 01:19:44.047: INFO @log_profile : T train: 18.363274 2021-05-27 01:19:44.047: INFO @log_profile : T read data: 0.296483 2021-05-27 01:19:44.047: INFO @log_profile : T hooks: 2.819802 2021-05-27 01:19:44.047: INFO @main_loop : Epoch 315 done 2021-05-27 01:19:44.047: INFO @main_loop : Training epoch 316 2021-05-27 01:20:03.168: INFO @log_variables: train loss nanmean: 1.214512 2021-05-27 01:20:03.168: INFO @log_variables: train age_loss mean: 0.964468 2021-05-27 01:20:03.168: INFO @log_variables: train gender_loss mean: 0.371275 2021-05-27 01:20:03.168: INFO @log_variables: train age_mae mean: 10.794517 2021-05-27 01:20:03.168: INFO @log_variables: train gender_accuracy mean: 0.833261 2021-05-27 01:20:03.168: INFO @log_variables: train artificial_age_loss mean: 0.210323 2021-05-27 01:20:03.168: INFO @log_variables: train gender_confidence/loss nanmean: 0.071956 2021-05-27 01:20:03.168: INFO @log_variables: train gender_confidence/accuracy mean: 0.747757 2021-05-27 01:20:03.168: INFO @log_variables: train age_confidence/loss mean: 0.055149 2021-05-27 01:20:03.168: INFO @log_variables: train age_confidence/accuracy mean: 0.683811 2021-05-27 01:20:03.168: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:20:03.170: INFO @metrics_hook: train age_mae: 10.795 +-0.167 (13824) 2021-05-27 01:20:03.172: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-05-27 01:20:05.417: INFO @decay_lr : LR updated to `6.1548046e-05` 2021-05-27 01:20:05.418: INFO @log_profile : T train: 18.131545 2021-05-27 01:20:05.418: INFO @log_profile : T read data: 0.311904 2021-05-27 01:20:05.418: INFO @log_profile : T hooks: 2.872977 2021-05-27 01:20:05.418: INFO @main_loop : Epoch 316 done 2021-05-27 01:20:05.418: INFO @main_loop : Training epoch 317 2021-05-27 01:20:24.946: INFO @log_variables: train loss nanmean: 1.217692 2021-05-27 01:20:24.946: INFO @log_variables: train age_loss mean: 0.976294 2021-05-27 01:20:24.946: INFO @log_variables: train gender_loss mean: 0.364458 2021-05-27 01:20:24.946: INFO @log_variables: train age_mae mean: 10.894889 2021-05-27 01:20:24.946: INFO @log_variables: train gender_accuracy mean: 0.838139 2021-05-27 01:20:24.946: INFO @log_variables: train artificial_age_loss mean: 0.211046 2021-05-27 01:20:24.947: INFO @log_variables: train gender_confidence/loss nanmean: 0.071956 2021-05-27 01:20:24.947: INFO @log_variables: train gender_confidence/accuracy mean: 0.745689 2021-05-27 01:20:24.947: INFO @log_variables: train age_confidence/loss mean: 0.054438 2021-05-27 01:20:24.947: INFO @log_variables: train age_confidence/accuracy mean: 0.691929 2021-05-27 01:20:24.947: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:20:24.949: INFO @metrics_hook: train age_mae: 10.895 +-0.167 (13802) 2021-05-27 01:20:24.950: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13802) 2021-05-27 01:20:27.164: INFO @decay_lr : LR updated to `6.124031e-05` 2021-05-27 01:20:27.165: INFO @log_profile : T train: 18.409397 2021-05-27 01:20:27.165: INFO @log_profile : T read data: 0.442976 2021-05-27 01:20:27.166: INFO @log_profile : T hooks: 2.835434 2021-05-27 01:20:27.166: INFO @main_loop : Epoch 317 done 2021-05-27 01:20:27.166: INFO @main_loop : Training epoch 318 2021-05-27 01:20:46.401: INFO @log_variables: train loss nanmean: 1.224523 2021-05-27 01:20:46.402: INFO @log_variables: train age_loss mean: 0.973360 2021-05-27 01:20:46.402: INFO @log_variables: train gender_loss mean: 0.378040 2021-05-27 01:20:46.402: INFO @log_variables: train age_mae mean: 10.873219 2021-05-27 01:20:46.402: INFO @log_variables: train gender_accuracy mean: 0.830512 2021-05-27 01:20:46.402: INFO @log_variables: train artificial_age_loss mean: 0.208677 2021-05-27 01:20:46.402: INFO @log_variables: train gender_confidence/loss nanmean: 0.072108 2021-05-27 01:20:46.402: INFO @log_variables: train gender_confidence/accuracy mean: 0.742188 2021-05-27 01:20:46.402: INFO @log_variables: train age_confidence/loss mean: 0.054951 2021-05-27 01:20:46.402: INFO @log_variables: train age_confidence/accuracy mean: 0.685547 2021-05-27 01:20:46.402: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:20:46.404: INFO @metrics_hook: train age_mae: 10.873 +-0.168 (13824) 2021-05-27 01:20:46.406: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:20:48.592: INFO @decay_lr : LR updated to `6.0934108e-05` 2021-05-27 01:20:48.593: INFO @log_profile : T train: 18.222785 2021-05-27 01:20:48.593: INFO @log_profile : T read data: 0.315867 2021-05-27 01:20:48.593: INFO @log_profile : T hooks: 2.833432 2021-05-27 01:20:48.593: INFO @main_loop : Epoch 318 done 2021-05-27 01:20:48.593: INFO @main_loop : Training epoch 319 2021-05-27 01:21:07.848: INFO @log_variables: train loss nanmean: 1.223707 2021-05-27 01:21:07.848: INFO @log_variables: train age_loss mean: 0.975612 2021-05-27 01:21:07.848: INFO @log_variables: train gender_loss mean: 0.365933 2021-05-27 01:21:07.848: INFO @log_variables: train age_mae mean: 10.908717 2021-05-27 01:21:07.848: INFO @log_variables: train gender_accuracy mean: 0.838903 2021-05-27 01:21:07.848: INFO @log_variables: train artificial_age_loss mean: 0.209817 2021-05-27 01:21:07.849: INFO @log_variables: train gender_confidence/loss nanmean: 0.071615 2021-05-27 01:21:07.849: INFO @log_variables: train gender_confidence/accuracy mean: 0.745877 2021-05-27 01:21:07.849: INFO @log_variables: train age_confidence/loss mean: 0.054489 2021-05-27 01:21:07.849: INFO @log_variables: train age_confidence/accuracy mean: 0.689091 2021-05-27 01:21:07.849: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:21:07.851: INFO @metrics_hook: train age_mae: 10.909 +-0.168 (13824) 2021-05-27 01:21:07.853: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-05-27 01:21:10.092: INFO @decay_lr : LR updated to `6.0629438e-05` 2021-05-27 01:21:10.094: INFO @log_profile : T train: 18.319090 2021-05-27 01:21:10.094: INFO @log_profile : T read data: 0.293949 2021-05-27 01:21:10.094: INFO @log_profile : T hooks: 2.836501 2021-05-27 01:21:10.094: INFO @main_loop : Epoch 319 done 2021-05-27 01:21:10.094: INFO @main_loop : Training epoch 320 2021-05-27 01:21:29.399: INFO @log_variables: train loss nanmean: 1.204366 2021-05-27 01:21:29.399: INFO @log_variables: train age_loss mean: 0.956142 2021-05-27 01:21:29.400: INFO @log_variables: train gender_loss mean: 0.367977 2021-05-27 01:21:29.400: INFO @log_variables: train age_mae mean: 10.720344 2021-05-27 01:21:29.400: INFO @log_variables: train gender_accuracy mean: 0.837590 2021-05-27 01:21:29.400: INFO @log_variables: train artificial_age_loss mean: 0.209190 2021-05-27 01:21:29.400: INFO @log_variables: train gender_confidence/loss nanmean: 0.072476 2021-05-27 01:21:29.400: INFO @log_variables: train gender_confidence/accuracy mean: 0.748969 2021-05-27 01:21:29.400: INFO @log_variables: train age_confidence/loss mean: 0.055275 2021-05-27 01:21:29.400: INFO @log_variables: train age_confidence/accuracy mean: 0.682413 2021-05-27 01:21:29.400: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:21:29.402: INFO @metrics_hook: train age_mae: 10.720 +-0.166 (13823) 2021-05-27 01:21:29.404: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13823) 2021-05-27 01:21:31.629: INFO @decay_lr : LR updated to `6.0326292e-05` 2021-05-27 01:21:31.630: INFO @log_profile : T train: 18.316664 2021-05-27 01:21:31.630: INFO @log_profile : T read data: 0.311831 2021-05-27 01:21:31.630: INFO @log_profile : T hooks: 2.853567 2021-05-27 01:21:31.630: INFO @main_loop : Epoch 320 done 2021-05-27 01:21:31.630: INFO @main_loop : Training epoch 321 2021-05-27 01:21:50.897: INFO @log_variables: train loss nanmean: 1.199489 2021-05-27 01:21:50.897: INFO @log_variables: train age_loss mean: 0.963502 2021-05-27 01:21:50.897: INFO @log_variables: train gender_loss mean: 0.358053 2021-05-27 01:21:50.897: INFO @log_variables: train age_mae mean: 10.784699 2021-05-27 01:21:50.897: INFO @log_variables: train gender_accuracy mean: 0.837415 2021-05-27 01:21:50.897: INFO @log_variables: train artificial_age_loss mean: 0.209469 2021-05-27 01:21:50.897: INFO @log_variables: train gender_confidence/loss nanmean: 0.070533 2021-05-27 01:21:50.897: INFO @log_variables: train gender_confidence/accuracy mean: 0.755760 2021-05-27 01:21:50.897: INFO @log_variables: train age_confidence/loss mean: 0.054398 2021-05-27 01:21:50.897: INFO @log_variables: train age_confidence/accuracy mean: 0.690625 2021-05-27 01:21:50.898: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:21:50.899: INFO @metrics_hook: train age_mae: 10.785 +-0.166 (13802) 2021-05-27 01:21:50.900: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13802) 2021-05-27 01:21:53.225: INFO @decay_lr : LR updated to `6.002466e-05` 2021-05-27 01:21:53.226: INFO @log_profile : T train: 18.163665 2021-05-27 01:21:53.226: INFO @log_profile : T read data: 0.448184 2021-05-27 01:21:53.226: INFO @log_profile : T hooks: 2.932185 2021-05-27 01:21:53.226: INFO @main_loop : Epoch 321 done 2021-05-27 01:21:53.226: INFO @main_loop : Training epoch 322 2021-05-27 01:22:12.493: INFO @log_variables: train loss nanmean: 1.210206 2021-05-27 01:22:12.493: INFO @log_variables: train age_loss mean: 0.970658 2021-05-27 01:22:12.493: INFO @log_variables: train gender_loss mean: 0.372691 2021-05-27 01:22:12.493: INFO @log_variables: train age_mae mean: 10.846375 2021-05-27 01:22:12.493: INFO @log_variables: train gender_accuracy mean: 0.832538 2021-05-27 01:22:12.493: INFO @log_variables: train artificial_age_loss mean: 0.210007 2021-05-27 01:22:12.493: INFO @log_variables: train gender_confidence/loss nanmean: 0.071817 2021-05-27 01:22:12.494: INFO @log_variables: train gender_confidence/accuracy mean: 0.745443 2021-05-27 01:22:12.494: INFO @log_variables: train age_confidence/loss mean: 0.054630 2021-05-27 01:22:12.494: INFO @log_variables: train age_confidence/accuracy mean: 0.686704 2021-05-27 01:22:12.495: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:22:12.496: INFO @metrics_hook: train age_mae: 10.846 +-0.166 (13824) 2021-05-27 01:22:12.497: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-05-27 01:22:14.787: INFO @decay_lr : LR updated to `5.9724538e-05` 2021-05-27 01:22:14.789: INFO @log_profile : T train: 18.300040 2021-05-27 01:22:14.789: INFO @log_profile : T read data: 0.306361 2021-05-27 01:22:14.789: INFO @log_profile : T hooks: 2.903603 2021-05-27 01:22:14.789: INFO @main_loop : Epoch 322 done 2021-05-27 01:22:14.790: INFO @main_loop : Training epoch 323 2021-05-27 01:22:34.123: INFO @log_variables: train loss nanmean: 1.222458 2021-05-27 01:22:34.123: INFO @log_variables: train age_loss mean: 0.950386 2021-05-27 01:22:34.123: INFO @log_variables: train gender_loss mean: 0.362705 2021-05-27 01:22:34.123: INFO @log_variables: train age_mae mean: 10.689141 2021-05-27 01:22:34.123: INFO @log_variables: train gender_accuracy mean: 0.838759 2021-05-27 01:22:34.124: INFO @log_variables: train artificial_age_loss mean: 0.212404 2021-05-27 01:22:34.124: INFO @log_variables: train gender_confidence/loss nanmean: 0.072531 2021-05-27 01:22:34.124: INFO @log_variables: train gender_confidence/accuracy mean: 0.750217 2021-05-27 01:22:34.124: INFO @log_variables: train age_confidence/loss mean: 0.055075 2021-05-27 01:22:34.124: INFO @log_variables: train age_confidence/accuracy mean: 0.679760 2021-05-27 01:22:34.124: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:22:34.125: INFO @metrics_hook: train age_mae: 10.689 +-0.165 (13824) 2021-05-27 01:22:34.128: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-05-27 01:22:36.477: INFO @decay_lr : LR updated to `5.9425915e-05` 2021-05-27 01:22:36.479: INFO @log_profile : T train: 18.365371 2021-05-27 01:22:36.479: INFO @log_profile : T read data: 0.296749 2021-05-27 01:22:36.479: INFO @log_profile : T hooks: 2.974610 2021-05-27 01:22:36.479: INFO @main_loop : Epoch 323 done 2021-05-27 01:22:36.480: INFO @main_loop : Training epoch 324 2021-05-27 01:22:55.745: INFO @log_variables: train loss nanmean: 1.208562 2021-05-27 01:22:55.745: INFO @log_variables: train age_loss mean: 0.963813 2021-05-27 01:22:55.745: INFO @log_variables: train gender_loss mean: 0.367513 2021-05-27 01:22:55.745: INFO @log_variables: train age_mae mean: 10.785254 2021-05-27 01:22:55.746: INFO @log_variables: train gender_accuracy mean: 0.833912 2021-05-27 01:22:55.746: INFO @log_variables: train artificial_age_loss mean: 0.210837 2021-05-27 01:22:55.746: INFO @log_variables: train gender_confidence/loss nanmean: 0.072027 2021-05-27 01:22:55.746: INFO @log_variables: train gender_confidence/accuracy mean: 0.742115 2021-05-27 01:22:55.746: INFO @log_variables: train age_confidence/loss mean: 0.055054 2021-05-27 01:22:55.746: INFO @log_variables: train age_confidence/accuracy mean: 0.684389 2021-05-27 01:22:55.746: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:22:55.748: INFO @metrics_hook: train age_mae: 10.785 +-0.165 (13824) 2021-05-27 01:22:55.749: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-05-27 01:22:58.032: INFO @decay_lr : LR updated to `5.9128786e-05` 2021-05-27 01:22:58.034: INFO @log_profile : T train: 18.276250 2021-05-27 01:22:58.034: INFO @log_profile : T read data: 0.299245 2021-05-27 01:22:58.034: INFO @log_profile : T hooks: 2.924943 2021-05-27 01:22:58.034: INFO @main_loop : Epoch 324 done 2021-05-27 01:22:58.034: INFO @main_loop : Training epoch 325 2021-05-27 01:23:17.178: INFO @log_variables: train loss nanmean: 1.212600 2021-05-27 01:23:17.178: INFO @log_variables: train age_loss mean: 0.949993 2021-05-27 01:23:17.178: INFO @log_variables: train gender_loss mean: 0.369776 2021-05-27 01:23:17.178: INFO @log_variables: train age_mae mean: 10.658109 2021-05-27 01:23:17.178: INFO @log_variables: train gender_accuracy mean: 0.833865 2021-05-27 01:23:17.178: INFO @log_variables: train artificial_age_loss mean: 0.210978 2021-05-27 01:23:17.178: INFO @log_variables: train gender_confidence/loss nanmean: 0.071287 2021-05-27 01:23:17.178: INFO @log_variables: train gender_confidence/accuracy mean: 0.751920 2021-05-27 01:23:17.178: INFO @log_variables: train age_confidence/loss mean: 0.055237 2021-05-27 01:23:17.178: INFO @log_variables: train age_confidence/accuracy mean: 0.683089 2021-05-27 01:23:17.178: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:23:17.180: INFO @metrics_hook: train age_mae: 10.658 +-0.164 (13802) 2021-05-27 01:23:17.181: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13802) 2021-05-27 01:23:19.420: INFO @decay_lr : LR updated to `5.8833142e-05` 2021-05-27 01:23:19.421: INFO @log_profile : T train: 18.051862 2021-05-27 01:23:19.422: INFO @log_profile : T read data: 0.448235 2021-05-27 01:23:19.422: INFO @log_profile : T hooks: 2.834214 2021-05-27 01:23:19.422: INFO @main_loop : Epoch 325 done 2021-05-27 01:23:19.422: INFO @main_loop : Training epoch 326 2021-05-27 01:23:38.849: INFO @log_variables: train loss nanmean: 1.192921 2021-05-27 01:23:38.849: INFO @log_variables: train age_loss mean: 0.960599 2021-05-27 01:23:38.849: INFO @log_variables: train gender_loss mean: 0.353275 2021-05-27 01:23:38.849: INFO @log_variables: train age_mae mean: 10.784284 2021-05-27 01:23:38.849: INFO @log_variables: train gender_accuracy mean: 0.841725 2021-05-27 01:23:38.849: INFO @log_variables: train artificial_age_loss mean: 0.209675 2021-05-27 01:23:38.849: INFO @log_variables: train gender_confidence/loss nanmean: 0.071162 2021-05-27 01:23:38.849: INFO @log_variables: train gender_confidence/accuracy mean: 0.752532 2021-05-27 01:23:38.849: INFO @log_variables: train age_confidence/loss mean: 0.054759 2021-05-27 01:23:38.849: INFO @log_variables: train age_confidence/accuracy mean: 0.689670 2021-05-27 01:23:38.850: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:23:38.852: INFO @metrics_hook: train age_mae: 10.784 +-0.166 (13824) 2021-05-27 01:23:38.853: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-05-27 01:23:45.836: INFO @decay_lr : LR updated to `5.8538975e-05` 2021-05-27 01:23:45.837: INFO @log_profile : T train: 18.408749 2021-05-27 01:23:45.837: INFO @log_profile : T read data: 0.303159 2021-05-27 01:23:45.837: INFO @log_profile : T hooks: 7.649646 2021-05-27 01:23:45.838: INFO @main_loop : Epoch 326 done 2021-05-27 01:23:45.838: INFO @main_loop : Training epoch 327 2021-05-27 01:24:04.919: INFO @log_variables: train loss nanmean: 1.200215 2021-05-27 01:24:04.919: INFO @log_variables: train age_loss mean: 0.954456 2021-05-27 01:24:04.919: INFO @log_variables: train gender_loss mean: 0.358586 2021-05-27 01:24:04.919: INFO @log_variables: train age_mae mean: 10.691001 2021-05-27 01:24:04.919: INFO @log_variables: train gender_accuracy mean: 0.837372 2021-05-27 01:24:04.919: INFO @log_variables: train artificial_age_loss mean: 0.210690 2021-05-27 01:24:04.919: INFO @log_variables: train gender_confidence/loss nanmean: 0.070244 2021-05-27 01:24:04.919: INFO @log_variables: train gender_confidence/accuracy mean: 0.754250 2021-05-27 01:24:04.919: INFO @log_variables: train age_confidence/loss mean: 0.054689 2021-05-27 01:24:04.920: INFO @log_variables: train age_confidence/accuracy mean: 0.685813 2021-05-27 01:24:04.920: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:24:04.922: INFO @metrics_hook: train age_mae: 10.691 +-0.164 (13823) 2021-05-27 01:24:04.923: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13823) 2021-05-27 01:24:07.364: INFO @decay_lr : LR updated to `5.824628e-05` 2021-05-27 01:24:07.365: INFO @log_profile : T train: 18.101013 2021-05-27 01:24:07.366: INFO @log_profile : T read data: 0.306891 2021-05-27 01:24:07.366: INFO @log_profile : T hooks: 3.063851 2021-05-27 01:24:07.366: INFO @main_loop : Epoch 327 done 2021-05-27 01:24:07.366: INFO @main_loop : Training epoch 328 2021-05-27 01:24:26.769: INFO @log_variables: train loss nanmean: 1.204745 2021-05-27 01:24:26.770: INFO @log_variables: train age_loss mean: 0.961229 2021-05-27 01:24:26.770: INFO @log_variables: train gender_loss mean: 0.368955 2021-05-27 01:24:26.770: INFO @log_variables: train age_mae mean: 10.772466 2021-05-27 01:24:26.770: INFO @log_variables: train gender_accuracy mean: 0.834780 2021-05-27 01:24:26.770: INFO @log_variables: train artificial_age_loss mean: 0.207926 2021-05-27 01:24:26.770: INFO @log_variables: train gender_confidence/loss nanmean: 0.071582 2021-05-27 01:24:26.770: INFO @log_variables: train gender_confidence/accuracy mean: 0.751953 2021-05-27 01:24:26.770: INFO @log_variables: train age_confidence/loss mean: 0.055607 2021-05-27 01:24:26.770: INFO @log_variables: train age_confidence/accuracy mean: 0.678313 2021-05-27 01:24:26.770: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:24:26.772: INFO @metrics_hook: train age_mae: 10.772 +-0.168 (13824) 2021-05-27 01:24:26.774: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13824) 2021-05-27 01:24:29.201: INFO @decay_lr : LR updated to `5.795505e-05` 2021-05-27 01:24:29.202: INFO @log_profile : T train: 18.403921 2021-05-27 01:24:29.202: INFO @log_profile : T read data: 0.303570 2021-05-27 01:24:29.202: INFO @log_profile : T hooks: 3.073870 2021-05-27 01:24:29.202: INFO @main_loop : Epoch 328 done 2021-05-27 01:24:29.203: INFO @main_loop : Training epoch 329 2021-05-27 01:24:48.536: INFO @log_variables: train loss nanmean: 1.219014 2021-05-27 01:24:48.537: INFO @log_variables: train age_loss mean: 0.956395 2021-05-27 01:24:48.537: INFO @log_variables: train gender_loss mean: 0.369843 2021-05-27 01:24:48.537: INFO @log_variables: train age_mae mean: 10.724451 2021-05-27 01:24:48.537: INFO @log_variables: train gender_accuracy mean: 0.837197 2021-05-27 01:24:48.537: INFO @log_variables: train artificial_age_loss mean: 0.209694 2021-05-27 01:24:48.537: INFO @log_variables: train gender_confidence/loss nanmean: 0.072158 2021-05-27 01:24:48.537: INFO @log_variables: train gender_confidence/accuracy mean: 0.742718 2021-05-27 01:24:48.537: INFO @log_variables: train age_confidence/loss mean: 0.054974 2021-05-27 01:24:48.537: INFO @log_variables: train age_confidence/accuracy mean: 0.685553 2021-05-27 01:24:48.537: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:24:48.539: INFO @metrics_hook: train age_mae: 10.724 +-0.166 (13802) 2021-05-27 01:24:48.540: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13802) 2021-05-27 01:24:50.915: INFO @decay_lr : LR updated to `5.7665275e-05` 2021-05-27 01:24:50.916: INFO @log_profile : T train: 18.223189 2021-05-27 01:24:50.917: INFO @log_profile : T read data: 0.446408 2021-05-27 01:24:50.917: INFO @log_profile : T hooks: 2.991704 2021-05-27 01:24:50.917: INFO @main_loop : Epoch 329 done 2021-05-27 01:24:50.917: INFO @main_loop : Training epoch 330 2021-05-27 01:25:10.238: INFO @log_variables: train loss nanmean: 1.180044 2021-05-27 01:25:10.239: INFO @log_variables: train age_loss mean: 0.941563 2021-05-27 01:25:10.239: INFO @log_variables: train gender_loss mean: 0.357130 2021-05-27 01:25:10.239: INFO @log_variables: train age_mae mean: 10.582713 2021-05-27 01:25:10.239: INFO @log_variables: train gender_accuracy mean: 0.840639 2021-05-27 01:25:10.239: INFO @log_variables: train artificial_age_loss mean: 0.208414 2021-05-27 01:25:10.239: INFO @log_variables: train gender_confidence/loss nanmean: 0.071671 2021-05-27 01:25:10.239: INFO @log_variables: train gender_confidence/accuracy mean: 0.752604 2021-05-27 01:25:10.239: INFO @log_variables: train age_confidence/loss mean: 0.054737 2021-05-27 01:25:10.239: INFO @log_variables: train age_confidence/accuracy mean: 0.687789 2021-05-27 01:25:10.239: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:25:10.242: INFO @metrics_hook: train age_mae: 10.583 +-0.164 (13824) 2021-05-27 01:25:10.244: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:25:12.655: INFO @decay_lr : LR updated to `5.7376947e-05` 2021-05-27 01:25:12.656: INFO @log_profile : T train: 18.315752 2021-05-27 01:25:12.656: INFO @log_profile : T read data: 0.297050 2021-05-27 01:25:12.656: INFO @log_profile : T hooks: 3.073048 2021-05-27 01:25:12.656: INFO @main_loop : Epoch 330 done 2021-05-27 01:25:12.656: INFO @main_loop : Training epoch 331 2021-05-27 01:25:31.814: INFO @log_variables: train loss nanmean: 1.219405 2021-05-27 01:25:31.814: INFO @log_variables: train age_loss mean: 0.964516 2021-05-27 01:25:31.814: INFO @log_variables: train gender_loss mean: 0.358915 2021-05-27 01:25:31.814: INFO @log_variables: train age_mae mean: 10.795617 2021-05-27 01:25:31.814: INFO @log_variables: train gender_accuracy mean: 0.841507 2021-05-27 01:25:31.814: INFO @log_variables: train artificial_age_loss mean: 0.208052 2021-05-27 01:25:31.814: INFO @log_variables: train gender_confidence/loss nanmean: 0.071278 2021-05-27 01:25:31.814: INFO @log_variables: train gender_confidence/accuracy mean: 0.749566 2021-05-27 01:25:31.814: INFO @log_variables: train age_confidence/loss mean: 0.055474 2021-05-27 01:25:31.814: INFO @log_variables: train age_confidence/accuracy mean: 0.677517 2021-05-27 01:25:31.814: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:25:31.816: INFO @metrics_hook: train age_mae: 10.796 +-0.168 (13824) 2021-05-27 01:25:31.817: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-05-27 01:25:34.060: INFO @decay_lr : LR updated to `5.7090063e-05` 2021-05-27 01:25:34.061: INFO @log_profile : T train: 18.203588 2021-05-27 01:25:34.061: INFO @log_profile : T read data: 0.295856 2021-05-27 01:25:34.061: INFO @log_profile : T hooks: 2.851139 2021-05-27 01:25:34.061: INFO @main_loop : Epoch 331 done 2021-05-27 01:25:34.061: INFO @main_loop : Training epoch 332 2021-05-27 01:25:53.455: INFO @log_variables: train loss nanmean: 1.226417 2021-05-27 01:25:53.455: INFO @log_variables: train age_loss mean: 0.971968 2021-05-27 01:25:53.456: INFO @log_variables: train gender_loss mean: 0.373277 2021-05-27 01:25:53.456: INFO @log_variables: train age_mae mean: 10.857971 2021-05-27 01:25:53.456: INFO @log_variables: train gender_accuracy mean: 0.831874 2021-05-27 01:25:53.456: INFO @log_variables: train artificial_age_loss mean: 0.210837 2021-05-27 01:25:53.456: INFO @log_variables: train gender_confidence/loss nanmean: 0.072090 2021-05-27 01:25:53.457: INFO @log_variables: train gender_confidence/accuracy mean: 0.743688 2021-05-27 01:25:53.457: INFO @log_variables: train age_confidence/loss mean: 0.054216 2021-05-27 01:25:53.457: INFO @log_variables: train age_confidence/accuracy mean: 0.692975 2021-05-27 01:25:53.457: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:25:53.460: INFO @metrics_hook: train age_mae: 10.858 +-0.167 (13823) 2021-05-27 01:25:53.462: INFO @metrics_hook: train gender_accuracy: 0.832 +-0.006 (13823) 2021-05-27 01:25:55.682: INFO @decay_lr : LR updated to `5.6804613e-05` 2021-05-27 01:25:55.684: INFO @log_profile : T train: 18.402583 2021-05-27 01:25:55.684: INFO @log_profile : T read data: 0.307021 2021-05-27 01:25:55.684: INFO @log_profile : T hooks: 2.859337 2021-05-27 01:25:55.684: INFO @main_loop : Epoch 332 done 2021-05-27 01:25:55.684: INFO @main_loop : Training epoch 333 2021-05-27 01:26:14.926: INFO @log_variables: train loss nanmean: 1.205695 2021-05-27 01:26:14.926: INFO @log_variables: train age_loss mean: 0.936241 2021-05-27 01:26:14.926: INFO @log_variables: train gender_loss mean: 0.359408 2021-05-27 01:26:14.926: INFO @log_variables: train age_mae mean: 10.543466 2021-05-27 01:26:14.926: INFO @log_variables: train gender_accuracy mean: 0.836545 2021-05-27 01:26:14.926: INFO @log_variables: train artificial_age_loss mean: 0.208145 2021-05-27 01:26:14.926: INFO @log_variables: train gender_confidence/loss nanmean: 0.070834 2021-05-27 01:26:14.927: INFO @log_variables: train gender_confidence/accuracy mean: 0.759962 2021-05-27 01:26:14.927: INFO @log_variables: train age_confidence/loss mean: 0.055659 2021-05-27 01:26:14.927: INFO @log_variables: train age_confidence/accuracy mean: 0.680698 2021-05-27 01:26:14.927: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:26:14.929: INFO @metrics_hook: train age_mae: 10.543 +-0.165 (13802) 2021-05-27 01:26:14.931: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13802) 2021-05-27 01:26:17.272: INFO @decay_lr : LR updated to `5.652059e-05` 2021-05-27 01:26:17.274: INFO @log_profile : T train: 18.140430 2021-05-27 01:26:17.274: INFO @log_profile : T read data: 0.434416 2021-05-27 01:26:17.274: INFO @log_profile : T hooks: 2.962538 2021-05-27 01:26:17.274: INFO @main_loop : Epoch 333 done 2021-05-27 01:26:17.274: INFO @main_loop : Training epoch 334 2021-05-27 01:26:36.617: INFO @log_variables: train loss nanmean: 1.210452 2021-05-27 01:26:36.617: INFO @log_variables: train age_loss mean: 0.954687 2021-05-27 01:26:36.617: INFO @log_variables: train gender_loss mean: 0.368103 2021-05-27 01:26:36.617: INFO @log_variables: train age_mae mean: 10.698055 2021-05-27 01:26:36.617: INFO @log_variables: train gender_accuracy mean: 0.832899 2021-05-27 01:26:36.617: INFO @log_variables: train artificial_age_loss mean: 0.209472 2021-05-27 01:26:36.617: INFO @log_variables: train gender_confidence/loss nanmean: 0.071245 2021-05-27 01:26:36.617: INFO @log_variables: train gender_confidence/accuracy mean: 0.741464 2021-05-27 01:26:36.617: INFO @log_variables: train age_confidence/loss mean: 0.054269 2021-05-27 01:26:36.617: INFO @log_variables: train age_confidence/accuracy mean: 0.687645 2021-05-27 01:26:36.617: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:26:36.619: INFO @metrics_hook: train age_mae: 10.698 +-0.164 (13824) 2021-05-27 01:26:36.620: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-05-27 01:26:38.903: INFO @decay_lr : LR updated to `5.6237986e-05` 2021-05-27 01:26:38.905: INFO @log_profile : T train: 18.394136 2021-05-27 01:26:38.905: INFO @log_profile : T read data: 0.296525 2021-05-27 01:26:38.905: INFO @log_profile : T hooks: 2.887964 2021-05-27 01:26:38.905: INFO @main_loop : Epoch 334 done 2021-05-27 01:26:38.905: INFO @main_loop : Training epoch 335 2021-05-27 01:26:57.827: INFO @log_variables: train loss nanmean: 1.214353 2021-05-27 01:26:57.827: INFO @log_variables: train age_loss mean: 0.963527 2021-05-27 01:26:57.827: INFO @log_variables: train gender_loss mean: 0.364158 2021-05-27 01:26:57.827: INFO @log_variables: train age_mae mean: 10.787385 2021-05-27 01:26:57.827: INFO @log_variables: train gender_accuracy mean: 0.836155 2021-05-27 01:26:57.827: INFO @log_variables: train artificial_age_loss mean: 0.209187 2021-05-27 01:26:57.827: INFO @log_variables: train gender_confidence/loss nanmean: 0.071813 2021-05-27 01:26:57.827: INFO @log_variables: train gender_confidence/accuracy mean: 0.749349 2021-05-27 01:26:57.827: INFO @log_variables: train age_confidence/loss mean: 0.055015 2021-05-27 01:26:57.827: INFO @log_variables: train age_confidence/accuracy mean: 0.683594 2021-05-27 01:26:57.827: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:26:57.829: INFO @metrics_hook: train age_mae: 10.787 +-0.167 (13824) 2021-05-27 01:26:57.830: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-05-27 01:27:00.189: INFO @decay_lr : LR updated to `5.5956796e-05` 2021-05-27 01:27:00.190: INFO @log_profile : T train: 17.959967 2021-05-27 01:27:00.191: INFO @log_profile : T read data: 0.291453 2021-05-27 01:27:00.191: INFO @log_profile : T hooks: 2.981959 2021-05-27 01:27:00.191: INFO @main_loop : Epoch 335 done 2021-05-27 01:27:00.191: INFO @main_loop : Training epoch 336 2021-05-27 01:27:19.651: INFO @log_variables: train loss nanmean: 1.221462 2021-05-27 01:27:19.651: INFO @log_variables: train age_loss mean: 0.963010 2021-05-27 01:27:19.652: INFO @log_variables: train gender_loss mean: 0.372020 2021-05-27 01:27:19.652: INFO @log_variables: train age_mae mean: 10.781067 2021-05-27 01:27:19.652: INFO @log_variables: train gender_accuracy mean: 0.831163 2021-05-27 01:27:19.652: INFO @log_variables: train artificial_age_loss mean: 0.210276 2021-05-27 01:27:19.652: INFO @log_variables: train gender_confidence/loss nanmean: 0.071490 2021-05-27 01:27:19.652: INFO @log_variables: train gender_confidence/accuracy mean: 0.744936 2021-05-27 01:27:19.652: INFO @log_variables: train age_confidence/loss mean: 0.054771 2021-05-27 01:27:19.652: INFO @log_variables: train age_confidence/accuracy mean: 0.685330 2021-05-27 01:27:19.652: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:27:19.655: INFO @metrics_hook: train age_mae: 10.781 +-0.165 (13824) 2021-05-27 01:27:19.657: INFO @metrics_hook: train gender_accuracy: 0.831 +-0.006 (13824) 2021-05-27 01:27:21.916: INFO @decay_lr : LR updated to `5.5677014e-05` 2021-05-27 01:27:21.917: INFO @log_profile : T train: 18.485274 2021-05-27 01:27:21.917: INFO @log_profile : T read data: 0.297464 2021-05-27 01:27:21.917: INFO @log_profile : T hooks: 2.888771 2021-05-27 01:27:21.917: INFO @main_loop : Epoch 336 done 2021-05-27 01:27:21.917: INFO @main_loop : Training epoch 337 2021-05-27 01:27:41.349: INFO @log_variables: train loss nanmean: 1.208561 2021-05-27 01:27:41.349: INFO @log_variables: train age_loss mean: 0.963179 2021-05-27 01:27:41.350: INFO @log_variables: train gender_loss mean: 0.367069 2021-05-27 01:27:41.350: INFO @log_variables: train age_mae mean: 10.805220 2021-05-27 01:27:41.350: INFO @log_variables: train gender_accuracy mean: 0.835096 2021-05-27 01:27:41.350: INFO @log_variables: train artificial_age_loss mean: 0.209217 2021-05-27 01:27:41.350: INFO @log_variables: train gender_confidence/loss nanmean: 0.071836 2021-05-27 01:27:41.350: INFO @log_variables: train gender_confidence/accuracy mean: 0.746558 2021-05-27 01:27:41.350: INFO @log_variables: train age_confidence/loss mean: 0.055247 2021-05-27 01:27:41.350: INFO @log_variables: train age_confidence/accuracy mean: 0.684249 2021-05-27 01:27:41.350: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:27:41.352: INFO @metrics_hook: train age_mae: 10.805 +-0.168 (13802) 2021-05-27 01:27:41.353: INFO @metrics_hook: train gender_accuracy: 0.835 +-0.006 (13802) 2021-05-27 01:27:43.561: INFO @decay_lr : LR updated to `5.539863e-05` 2021-05-27 01:27:43.562: INFO @log_profile : T train: 18.313243 2021-05-27 01:27:43.562: INFO @log_profile : T read data: 0.464809 2021-05-27 01:27:43.562: INFO @log_profile : T hooks: 2.814045 2021-05-27 01:27:43.562: INFO @main_loop : Epoch 337 done 2021-05-27 01:27:43.562: INFO @main_loop : Training epoch 338 2021-05-27 01:28:02.935: INFO @log_variables: train loss nanmean: 1.193517 2021-05-27 01:28:02.935: INFO @log_variables: train age_loss mean: 0.958567 2021-05-27 01:28:02.935: INFO @log_variables: train gender_loss mean: 0.359457 2021-05-27 01:28:02.936: INFO @log_variables: train age_mae mean: 10.750764 2021-05-27 01:28:02.936: INFO @log_variables: train gender_accuracy mean: 0.840205 2021-05-27 01:28:02.936: INFO @log_variables: train artificial_age_loss mean: 0.209481 2021-05-27 01:28:02.936: INFO @log_variables: train gender_confidence/loss nanmean: 0.071553 2021-05-27 01:28:02.936: INFO @log_variables: train gender_confidence/accuracy mean: 0.750723 2021-05-27 01:28:02.936: INFO @log_variables: train age_confidence/loss mean: 0.054638 2021-05-27 01:28:02.936: INFO @log_variables: train age_confidence/accuracy mean: 0.685041 2021-05-27 01:28:02.936: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:28:02.938: INFO @metrics_hook: train age_mae: 10.751 +-0.164 (13824) 2021-05-27 01:28:02.940: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:28:05.090: INFO @decay_lr : LR updated to `5.5121636e-05` 2021-05-27 01:28:05.091: INFO @log_profile : T train: 18.427602 2021-05-27 01:28:05.091: INFO @log_profile : T read data: 0.304079 2021-05-27 01:28:05.091: INFO @log_profile : T hooks: 2.744086 2021-05-27 01:28:05.091: INFO @main_loop : Epoch 338 done 2021-05-27 01:28:05.091: INFO @main_loop : Training epoch 339 2021-05-27 01:28:24.236: INFO @log_variables: train loss nanmean: 1.173372 2021-05-27 01:28:24.236: INFO @log_variables: train age_loss mean: 0.937483 2021-05-27 01:28:24.236: INFO @log_variables: train gender_loss mean: 0.354982 2021-05-27 01:28:24.236: INFO @log_variables: train age_mae mean: 10.552367 2021-05-27 01:28:24.236: INFO @log_variables: train gender_accuracy mean: 0.842593 2021-05-27 01:28:24.236: INFO @log_variables: train artificial_age_loss mean: 0.208321 2021-05-27 01:28:24.236: INFO @log_variables: train gender_confidence/loss nanmean: 0.071084 2021-05-27 01:28:24.236: INFO @log_variables: train gender_confidence/accuracy mean: 0.752749 2021-05-27 01:28:24.236: INFO @log_variables: train age_confidence/loss mean: 0.055493 2021-05-27 01:28:24.236: INFO @log_variables: train age_confidence/accuracy mean: 0.681930 2021-05-27 01:28:24.236: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:28:24.238: INFO @metrics_hook: train age_mae: 10.552 +-0.164 (13824) 2021-05-27 01:28:24.239: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:28:26.366: INFO @decay_lr : LR updated to `5.4846027e-05` 2021-05-27 01:28:26.367: INFO @log_profile : T train: 18.178293 2021-05-27 01:28:26.367: INFO @log_profile : T read data: 0.314471 2021-05-27 01:28:26.367: INFO @log_profile : T hooks: 2.729805 2021-05-27 01:28:26.367: INFO @main_loop : Epoch 339 done 2021-05-27 01:28:26.368: INFO @main_loop : Training epoch 340 2021-05-27 01:28:45.552: INFO @log_variables: train loss nanmean: 1.223232 2021-05-27 01:28:45.552: INFO @log_variables: train age_loss mean: 0.974003 2021-05-27 01:28:45.552: INFO @log_variables: train gender_loss mean: 0.366536 2021-05-27 01:28:45.552: INFO @log_variables: train age_mae mean: 10.890727 2021-05-27 01:28:45.552: INFO @log_variables: train gender_accuracy mean: 0.836227 2021-05-27 01:28:45.553: INFO @log_variables: train artificial_age_loss mean: 0.211403 2021-05-27 01:28:45.553: INFO @log_variables: train gender_confidence/loss nanmean: 0.071462 2021-05-27 01:28:45.553: INFO @log_variables: train gender_confidence/accuracy mean: 0.752315 2021-05-27 01:28:45.553: INFO @log_variables: train age_confidence/loss mean: 0.054651 2021-05-27 01:28:45.553: INFO @log_variables: train age_confidence/accuracy mean: 0.684751 2021-05-27 01:28:45.553: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:28:45.555: INFO @metrics_hook: train age_mae: 10.891 +-0.168 (13824) 2021-05-27 01:28:45.557: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13824) 2021-05-27 01:28:47.861: INFO @decay_lr : LR updated to `5.4571796e-05` 2021-05-27 01:28:47.863: INFO @log_profile : T train: 18.228754 2021-05-27 01:28:47.863: INFO @log_profile : T read data: 0.298935 2021-05-27 01:28:47.863: INFO @log_profile : T hooks: 2.916117 2021-05-27 01:28:47.863: INFO @main_loop : Epoch 340 done 2021-05-27 01:28:47.863: INFO @main_loop : Training epoch 341 2021-05-27 01:29:07.162: INFO @log_variables: train loss nanmean: 1.219180 2021-05-27 01:29:07.163: INFO @log_variables: train age_loss mean: 0.957962 2021-05-27 01:29:07.163: INFO @log_variables: train gender_loss mean: 0.362522 2021-05-27 01:29:07.163: INFO @log_variables: train age_mae mean: 10.731447 2021-05-27 01:29:07.163: INFO @log_variables: train gender_accuracy mean: 0.836401 2021-05-27 01:29:07.163: INFO @log_variables: train artificial_age_loss mean: 0.211199 2021-05-27 01:29:07.163: INFO @log_variables: train gender_confidence/loss nanmean: 0.071528 2021-05-27 01:29:07.163: INFO @log_variables: train gender_confidence/accuracy mean: 0.752282 2021-05-27 01:29:07.163: INFO @log_variables: train age_confidence/loss mean: 0.054744 2021-05-27 01:29:07.163: INFO @log_variables: train age_confidence/accuracy mean: 0.686712 2021-05-27 01:29:07.163: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:29:07.165: INFO @metrics_hook: train age_mae: 10.731 +-0.166 (13802) 2021-05-27 01:29:07.167: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13802) 2021-05-27 01:29:09.493: INFO @decay_lr : LR updated to `5.4298936e-05` 2021-05-27 01:29:09.495: INFO @log_profile : T train: 18.156688 2021-05-27 01:29:09.495: INFO @log_profile : T read data: 0.456497 2021-05-27 01:29:09.495: INFO @log_profile : T hooks: 2.965582 2021-05-27 01:29:09.495: INFO @main_loop : Epoch 341 done 2021-05-27 01:29:09.495: INFO @main_loop : Training epoch 342 2021-05-27 01:29:29.002: INFO @log_variables: train loss nanmean: 1.208815 2021-05-27 01:29:29.002: INFO @log_variables: train age_loss mean: 0.952597 2021-05-27 01:29:29.002: INFO @log_variables: train gender_loss mean: 0.360621 2021-05-27 01:29:29.002: INFO @log_variables: train age_mae mean: 10.679016 2021-05-27 01:29:29.003: INFO @log_variables: train gender_accuracy mean: 0.842882 2021-05-27 01:29:29.003: INFO @log_variables: train artificial_age_loss mean: 0.210280 2021-05-27 01:29:29.003: INFO @log_variables: train gender_confidence/loss nanmean: 0.072398 2021-05-27 01:29:29.003: INFO @log_variables: train gender_confidence/accuracy mean: 0.746600 2021-05-27 01:29:29.003: INFO @log_variables: train age_confidence/loss mean: 0.054780 2021-05-27 01:29:29.003: INFO @log_variables: train age_confidence/accuracy mean: 0.685475 2021-05-27 01:29:29.003: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:29:29.005: INFO @metrics_hook: train age_mae: 10.679 +-0.166 (13824) 2021-05-27 01:29:29.006: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:29:31.247: INFO @decay_lr : LR updated to `5.402744e-05` 2021-05-27 01:29:31.249: INFO @log_profile : T train: 18.550801 2021-05-27 01:29:31.250: INFO @log_profile : T read data: 0.300460 2021-05-27 01:29:31.250: INFO @log_profile : T hooks: 2.850418 2021-05-27 01:29:31.250: INFO @main_loop : Epoch 342 done 2021-05-27 01:29:31.250: INFO @main_loop : Training epoch 343 2021-05-27 01:29:50.640: INFO @log_variables: train loss nanmean: 1.197562 2021-05-27 01:29:50.640: INFO @log_variables: train age_loss mean: 0.949846 2021-05-27 01:29:50.640: INFO @log_variables: train gender_loss mean: 0.356441 2021-05-27 01:29:50.640: INFO @log_variables: train age_mae mean: 10.649803 2021-05-27 01:29:50.640: INFO @log_variables: train gender_accuracy mean: 0.838397 2021-05-27 01:29:50.640: INFO @log_variables: train artificial_age_loss mean: 0.210563 2021-05-27 01:29:50.641: INFO @log_variables: train gender_confidence/loss nanmean: 0.070076 2021-05-27 01:29:50.641: INFO @log_variables: train gender_confidence/accuracy mean: 0.754485 2021-05-27 01:29:50.641: INFO @log_variables: train age_confidence/loss mean: 0.055022 2021-05-27 01:29:50.641: INFO @log_variables: train age_confidence/accuracy mean: 0.685764 2021-05-27 01:29:50.641: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:29:50.643: INFO @metrics_hook: train age_mae: 10.650 +-0.164 (13824) 2021-05-27 01:29:50.645: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-05-27 01:29:52.875: INFO @decay_lr : LR updated to `5.3757303e-05` 2021-05-27 01:29:52.876: INFO @log_profile : T train: 18.376794 2021-05-27 01:29:52.877: INFO @log_profile : T read data: 0.309163 2021-05-27 01:29:52.877: INFO @log_profile : T hooks: 2.883855 2021-05-27 01:29:52.877: INFO @main_loop : Epoch 343 done 2021-05-27 01:29:52.877: INFO @main_loop : Training epoch 344 2021-05-27 01:30:12.064: INFO @log_variables: train loss nanmean: 1.189257 2021-05-27 01:30:12.064: INFO @log_variables: train age_loss mean: 0.949543 2021-05-27 01:30:12.064: INFO @log_variables: train gender_loss mean: 0.351375 2021-05-27 01:30:12.064: INFO @log_variables: train age_mae mean: 10.654389 2021-05-27 01:30:12.065: INFO @log_variables: train gender_accuracy mean: 0.844039 2021-05-27 01:30:12.065: INFO @log_variables: train artificial_age_loss mean: 0.210087 2021-05-27 01:30:12.065: INFO @log_variables: train gender_confidence/loss nanmean: 0.071220 2021-05-27 01:30:12.065: INFO @log_variables: train gender_confidence/accuracy mean: 0.753979 2021-05-27 01:30:12.065: INFO @log_variables: train age_confidence/loss mean: 0.054984 2021-05-27 01:30:12.065: INFO @log_variables: train age_confidence/accuracy mean: 0.685764 2021-05-27 01:30:12.065: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:30:12.068: INFO @metrics_hook: train age_mae: 10.654 +-0.164 (13824) 2021-05-27 01:30:12.070: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:30:14.495: INFO @decay_lr : LR updated to `5.348852e-05` 2021-05-27 01:30:14.496: INFO @log_profile : T train: 18.179401 2021-05-27 01:30:14.496: INFO @log_profile : T read data: 0.322342 2021-05-27 01:30:14.496: INFO @log_profile : T hooks: 3.063810 2021-05-27 01:30:14.496: INFO @main_loop : Epoch 344 done 2021-05-27 01:30:14.496: INFO @main_loop : Training epoch 345 2021-05-27 01:30:33.935: INFO @log_variables: train loss nanmean: 1.206995 2021-05-27 01:30:33.938: INFO @log_variables: train age_loss mean: 0.941498 2021-05-27 01:30:33.939: INFO @log_variables: train gender_loss mean: 0.363907 2021-05-27 01:30:33.939: INFO @log_variables: train age_mae mean: 10.590494 2021-05-27 01:30:33.940: INFO @log_variables: train gender_accuracy mean: 0.837270 2021-05-27 01:30:33.940: INFO @log_variables: train artificial_age_loss mean: 0.207980 2021-05-27 01:30:33.940: INFO @log_variables: train gender_confidence/loss nanmean: 0.072002 2021-05-27 01:30:33.940: INFO @log_variables: train gender_confidence/accuracy mean: 0.747500 2021-05-27 01:30:33.940: INFO @log_variables: train age_confidence/loss mean: 0.055109 2021-05-27 01:30:33.940: INFO @log_variables: train age_confidence/accuracy mean: 0.679829 2021-05-27 01:30:33.940: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:30:33.944: INFO @metrics_hook: train age_mae: 10.590 +-0.163 (13802) 2021-05-27 01:30:33.947: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13802) 2021-05-27 01:30:36.404: INFO @decay_lr : LR updated to `5.3221076e-05` 2021-05-27 01:30:36.406: INFO @log_profile : T train: 18.303171 2021-05-27 01:30:36.406: INFO @log_profile : T read data: 0.459564 2021-05-27 01:30:36.406: INFO @log_profile : T hooks: 3.093304 2021-05-27 01:30:36.406: INFO @main_loop : Epoch 345 done 2021-05-27 01:30:36.406: INFO @main_loop : Training epoch 346 2021-05-27 01:30:55.764: INFO @log_variables: train loss nanmean: 1.216122 2021-05-27 01:30:55.764: INFO @log_variables: train age_loss mean: 0.964136 2021-05-27 01:30:55.764: INFO @log_variables: train gender_loss mean: 0.364151 2021-05-27 01:30:55.764: INFO @log_variables: train age_mae mean: 10.800859 2021-05-27 01:30:55.764: INFO @log_variables: train gender_accuracy mean: 0.838686 2021-05-27 01:30:55.764: INFO @log_variables: train artificial_age_loss mean: 0.209757 2021-05-27 01:30:55.764: INFO @log_variables: train gender_confidence/loss nanmean: 0.071401 2021-05-27 01:30:55.764: INFO @log_variables: train gender_confidence/accuracy mean: 0.748119 2021-05-27 01:30:55.764: INFO @log_variables: train age_confidence/loss mean: 0.054923 2021-05-27 01:30:55.764: INFO @log_variables: train age_confidence/accuracy mean: 0.685692 2021-05-27 01:30:55.764: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:30:55.766: INFO @metrics_hook: train age_mae: 10.801 +-0.168 (13824) 2021-05-27 01:30:55.767: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-05-27 01:30:58.107: INFO @decay_lr : LR updated to `5.2954972e-05` 2021-05-27 01:30:58.109: INFO @log_profile : T train: 18.425970 2021-05-27 01:30:58.109: INFO @log_profile : T read data: 0.290814 2021-05-27 01:30:58.109: INFO @log_profile : T hooks: 2.933821 2021-05-27 01:30:58.109: INFO @main_loop : Epoch 346 done 2021-05-27 01:30:58.109: INFO @main_loop : Training epoch 347 2021-05-27 01:31:17.064: INFO @log_variables: train loss nanmean: 1.216379 2021-05-27 01:31:17.065: INFO @log_variables: train age_loss mean: 0.958989 2021-05-27 01:31:17.065: INFO @log_variables: train gender_loss mean: 0.361701 2021-05-27 01:31:17.065: INFO @log_variables: train age_mae mean: 10.758616 2021-05-27 01:31:17.065: INFO @log_variables: train gender_accuracy mean: 0.841291 2021-05-27 01:31:17.065: INFO @log_variables: train artificial_age_loss mean: 0.210647 2021-05-27 01:31:17.065: INFO @log_variables: train gender_confidence/loss nanmean: 0.072709 2021-05-27 01:31:17.065: INFO @log_variables: train gender_confidence/accuracy mean: 0.746745 2021-05-27 01:31:17.065: INFO @log_variables: train age_confidence/loss mean: 0.055089 2021-05-27 01:31:17.065: INFO @log_variables: train age_confidence/accuracy mean: 0.684824 2021-05-27 01:31:17.065: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:31:17.067: INFO @metrics_hook: train age_mae: 10.759 +-0.167 (13824) 2021-05-27 01:31:17.068: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:31:19.352: INFO @decay_lr : LR updated to `5.2690197e-05` 2021-05-27 01:31:19.353: INFO @log_profile : T train: 17.987636 2021-05-27 01:31:19.353: INFO @log_profile : T read data: 0.294894 2021-05-27 01:31:19.353: INFO @log_profile : T hooks: 2.909974 2021-05-27 01:31:19.353: INFO @main_loop : Epoch 347 done 2021-05-27 01:31:19.353: INFO @main_loop : Training epoch 348 2021-05-27 01:31:38.624: INFO @log_variables: train loss nanmean: 1.200660 2021-05-27 01:31:38.624: INFO @log_variables: train age_loss mean: 0.958745 2021-05-27 01:31:38.624: INFO @log_variables: train gender_loss mean: 0.364494 2021-05-27 01:31:38.624: INFO @log_variables: train age_mae mean: 10.748340 2021-05-27 01:31:38.625: INFO @log_variables: train gender_accuracy mean: 0.836401 2021-05-27 01:31:38.625: INFO @log_variables: train artificial_age_loss mean: 0.209131 2021-05-27 01:31:38.625: INFO @log_variables: train gender_confidence/loss nanmean: 0.070877 2021-05-27 01:31:38.625: INFO @log_variables: train gender_confidence/accuracy mean: 0.754673 2021-05-27 01:31:38.625: INFO @log_variables: train age_confidence/loss mean: 0.055237 2021-05-27 01:31:38.625: INFO @log_variables: train age_confidence/accuracy mean: 0.681568 2021-05-27 01:31:38.625: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:31:38.627: INFO @metrics_hook: train age_mae: 10.748 +-0.167 (13802) 2021-05-27 01:31:38.629: INFO @metrics_hook: train gender_accuracy: 0.836 +-0.006 (13802) 2021-05-27 01:31:41.017: INFO @decay_lr : LR updated to `5.2426745e-05` 2021-05-27 01:31:41.020: INFO @log_profile : T train: 18.160903 2021-05-27 01:31:41.020: INFO @log_profile : T read data: 0.455929 2021-05-27 01:31:41.020: INFO @log_profile : T hooks: 2.997958 2021-05-27 01:31:41.020: INFO @main_loop : Epoch 348 done 2021-05-27 01:31:41.021: INFO @main_loop : Training epoch 349 2021-05-27 01:32:00.292: INFO @log_variables: train loss nanmean: 1.202842 2021-05-27 01:32:00.292: INFO @log_variables: train age_loss mean: 0.955105 2021-05-27 01:32:00.293: INFO @log_variables: train gender_loss mean: 0.362147 2021-05-27 01:32:00.293: INFO @log_variables: train age_mae mean: 10.700271 2021-05-27 01:32:00.293: INFO @log_variables: train gender_accuracy mean: 0.833550 2021-05-27 01:32:00.293: INFO @log_variables: train artificial_age_loss mean: 0.209457 2021-05-27 01:32:00.293: INFO @log_variables: train gender_confidence/loss nanmean: 0.070107 2021-05-27 01:32:00.293: INFO @log_variables: train gender_confidence/accuracy mean: 0.753400 2021-05-27 01:32:00.293: INFO @log_variables: train age_confidence/loss mean: 0.054933 2021-05-27 01:32:00.293: INFO @log_variables: train age_confidence/accuracy mean: 0.684462 2021-05-27 01:32:00.293: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:32:00.295: INFO @metrics_hook: train age_mae: 10.700 +-0.164 (13824) 2021-05-27 01:32:00.296: INFO @metrics_hook: train gender_accuracy: 0.834 +-0.006 (13824) 2021-05-27 01:32:02.581: INFO @decay_lr : LR updated to `5.216461e-05` 2021-05-27 01:32:02.582: INFO @log_profile : T train: 18.305967 2021-05-27 01:32:02.582: INFO @log_profile : T read data: 0.310464 2021-05-27 01:32:02.582: INFO @log_profile : T hooks: 2.888478 2021-05-27 01:32:02.582: INFO @main_loop : Epoch 349 done 2021-05-27 01:32:02.582: INFO @main_loop : Training epoch 350 2021-05-27 01:32:22.039: INFO @log_variables: train loss nanmean: 1.197058 2021-05-27 01:32:22.039: INFO @log_variables: train age_loss mean: 0.958894 2021-05-27 01:32:22.039: INFO @log_variables: train gender_loss mean: 0.360352 2021-05-27 01:32:22.039: INFO @log_variables: train age_mae mean: 10.718624 2021-05-27 01:32:22.040: INFO @log_variables: train gender_accuracy mean: 0.837746 2021-05-27 01:32:22.040: INFO @log_variables: train artificial_age_loss mean: 0.209018 2021-05-27 01:32:22.040: INFO @log_variables: train gender_confidence/loss nanmean: 0.071458 2021-05-27 01:32:22.040: INFO @log_variables: train gender_confidence/accuracy mean: 0.749494 2021-05-27 01:32:22.040: INFO @log_variables: train age_confidence/loss mean: 0.054439 2021-05-27 01:32:22.040: INFO @log_variables: train age_confidence/accuracy mean: 0.692419 2021-05-27 01:32:22.040: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:32:22.042: INFO @metrics_hook: train age_mae: 10.719 +-0.165 (13824) 2021-05-27 01:32:22.044: INFO @metrics_hook: train gender_accuracy: 0.838 +-0.006 (13824) 2021-05-27 01:32:24.467: INFO @decay_lr : LR updated to `5.190379e-05` 2021-05-27 01:32:24.468: INFO @log_profile : T train: 18.458664 2021-05-27 01:32:24.468: INFO @log_profile : T read data: 0.301712 2021-05-27 01:32:24.469: INFO @log_profile : T hooks: 3.071123 2021-05-27 01:32:24.469: INFO @main_loop : Epoch 350 done 2021-05-27 01:32:24.469: INFO @main_loop : Training epoch 351 2021-05-27 01:32:43.623: INFO @log_variables: train loss nanmean: 1.199604 2021-05-27 01:32:43.623: INFO @log_variables: train age_loss mean: 0.953640 2021-05-27 01:32:43.623: INFO @log_variables: train gender_loss mean: 0.359887 2021-05-27 01:32:43.623: INFO @log_variables: train age_mae mean: 10.702929 2021-05-27 01:32:43.623: INFO @log_variables: train gender_accuracy mean: 0.839771 2021-05-27 01:32:43.623: INFO @log_variables: train artificial_age_loss mean: 0.211721 2021-05-27 01:32:43.623: INFO @log_variables: train gender_confidence/loss nanmean: 0.071893 2021-05-27 01:32:43.623: INFO @log_variables: train gender_confidence/accuracy mean: 0.752749 2021-05-27 01:32:43.623: INFO @log_variables: train age_confidence/loss mean: 0.055362 2021-05-27 01:32:43.624: INFO @log_variables: train age_confidence/accuracy mean: 0.677951 2021-05-27 01:32:43.624: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:32:43.626: INFO @metrics_hook: train age_mae: 10.703 +-0.166 (13824) 2021-05-27 01:32:43.627: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:32:45.975: INFO @decay_lr : LR updated to `5.164427e-05` 2021-05-27 01:32:45.976: INFO @log_profile : T train: 18.204577 2021-05-27 01:32:45.976: INFO @log_profile : T read data: 0.311114 2021-05-27 01:32:45.977: INFO @log_profile : T hooks: 2.938284 2021-05-27 01:32:45.977: INFO @main_loop : Epoch 351 done 2021-05-27 01:32:45.977: INFO @main_loop : Training epoch 352 2021-05-27 01:33:05.271: INFO @log_variables: train loss nanmean: 1.197976 2021-05-27 01:33:05.271: INFO @log_variables: train age_loss mean: 0.946825 2021-05-27 01:33:05.271: INFO @log_variables: train gender_loss mean: 0.349034 2021-05-27 01:33:05.271: INFO @log_variables: train age_mae mean: 10.650205 2021-05-27 01:33:05.271: INFO @log_variables: train gender_accuracy mean: 0.844153 2021-05-27 01:33:05.272: INFO @log_variables: train artificial_age_loss mean: 0.208364 2021-05-27 01:33:05.272: INFO @log_variables: train gender_confidence/loss nanmean: 0.070502 2021-05-27 01:33:05.272: INFO @log_variables: train gender_confidence/accuracy mean: 0.757499 2021-05-27 01:33:05.272: INFO @log_variables: train age_confidence/loss mean: 0.055307 2021-05-27 01:33:05.272: INFO @log_variables: train age_confidence/accuracy mean: 0.678815 2021-05-27 01:33:05.272: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:33:05.274: INFO @metrics_hook: train age_mae: 10.650 +-0.165 (13802) 2021-05-27 01:33:05.276: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13802) 2021-05-27 01:33:07.656: INFO @decay_lr : LR updated to `5.138605e-05` 2021-05-27 01:33:07.658: INFO @log_profile : T train: 18.202788 2021-05-27 01:33:07.658: INFO @log_profile : T read data: 0.438850 2021-05-27 01:33:07.658: INFO @log_profile : T hooks: 2.987551 2021-05-27 01:33:07.658: INFO @main_loop : Epoch 352 done 2021-05-27 01:33:07.658: INFO @main_loop : Training epoch 353 2021-05-27 01:33:26.861: INFO @log_variables: train loss nanmean: 1.189091 2021-05-27 01:33:26.861: INFO @log_variables: train age_loss mean: 0.947849 2021-05-27 01:33:26.861: INFO @log_variables: train gender_loss mean: 0.351555 2021-05-27 01:33:26.861: INFO @log_variables: train age_mae mean: 10.643903 2021-05-27 01:33:26.861: INFO @log_variables: train gender_accuracy mean: 0.844401 2021-05-27 01:33:26.861: INFO @log_variables: train artificial_age_loss mean: 0.209048 2021-05-27 01:33:26.861: INFO @log_variables: train gender_confidence/loss nanmean: 0.071715 2021-05-27 01:33:26.861: INFO @log_variables: train gender_confidence/accuracy mean: 0.751230 2021-05-27 01:33:26.861: INFO @log_variables: train age_confidence/loss mean: 0.054986 2021-05-27 01:33:26.861: INFO @log_variables: train age_confidence/accuracy mean: 0.680556 2021-05-27 01:33:26.862: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:33:26.863: INFO @metrics_hook: train age_mae: 10.644 +-0.164 (13824) 2021-05-27 01:33:26.864: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:33:29.175: INFO @decay_lr : LR updated to `5.1129122e-05` 2021-05-27 01:33:29.176: INFO @log_profile : T train: 18.249704 2021-05-27 01:33:29.176: INFO @log_profile : T read data: 0.308706 2021-05-27 01:33:29.176: INFO @log_profile : T hooks: 2.904751 2021-05-27 01:33:29.176: INFO @main_loop : Epoch 353 done 2021-05-27 01:33:29.176: INFO @main_loop : Training epoch 354 2021-05-27 01:33:48.704: INFO @log_variables: train loss nanmean: 1.195498 2021-05-27 01:33:48.704: INFO @log_variables: train age_loss mean: 0.960264 2021-05-27 01:33:48.704: INFO @log_variables: train gender_loss mean: 0.364944 2021-05-27 01:33:48.704: INFO @log_variables: train age_mae mean: 10.755064 2021-05-27 01:33:48.704: INFO @log_variables: train gender_accuracy mean: 0.837023 2021-05-27 01:33:48.705: INFO @log_variables: train artificial_age_loss mean: 0.210639 2021-05-27 01:33:48.705: INFO @log_variables: train gender_confidence/loss nanmean: 0.070960 2021-05-27 01:33:48.705: INFO @log_variables: train gender_confidence/accuracy mean: 0.748119 2021-05-27 01:33:48.705: INFO @log_variables: train age_confidence/loss mean: 0.054742 2021-05-27 01:33:48.705: INFO @log_variables: train age_confidence/accuracy mean: 0.687789 2021-05-27 01:33:48.705: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:33:48.707: INFO @metrics_hook: train age_mae: 10.755 +-0.166 (13824) 2021-05-27 01:33:48.709: INFO @metrics_hook: train gender_accuracy: 0.837 +-0.006 (13824) 2021-05-27 01:33:51.024: INFO @decay_lr : LR updated to `5.0873477e-05` 2021-05-27 01:33:51.025: INFO @log_profile : T train: 18.510809 2021-05-27 01:33:51.025: INFO @log_profile : T read data: 0.310159 2021-05-27 01:33:51.025: INFO @log_profile : T hooks: 2.972029 2021-05-27 01:33:51.025: INFO @main_loop : Epoch 354 done 2021-05-27 01:33:51.025: INFO @main_loop : Training epoch 355 2021-05-27 01:34:09.870: INFO @log_variables: train loss nanmean: 1.191828 2021-05-27 01:34:09.870: INFO @log_variables: train age_loss mean: 0.960860 2021-05-27 01:34:09.870: INFO @log_variables: train gender_loss mean: 0.356648 2021-05-27 01:34:09.870: INFO @log_variables: train age_mae mean: 10.746226 2021-05-27 01:34:09.870: INFO @log_variables: train gender_accuracy mean: 0.839554 2021-05-27 01:34:09.870: INFO @log_variables: train artificial_age_loss mean: 0.210024 2021-05-27 01:34:09.870: INFO @log_variables: train gender_confidence/loss nanmean: 0.070941 2021-05-27 01:34:09.870: INFO @log_variables: train gender_confidence/accuracy mean: 0.754413 2021-05-27 01:34:09.871: INFO @log_variables: train age_confidence/loss mean: 0.055074 2021-05-27 01:34:09.871: INFO @log_variables: train age_confidence/accuracy mean: 0.679470 2021-05-27 01:34:09.871: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:34:09.872: INFO @metrics_hook: train age_mae: 10.746 +-0.165 (13824) 2021-05-27 01:34:09.874: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:34:12.308: INFO @decay_lr : LR updated to `5.061911e-05` 2021-05-27 01:34:12.310: INFO @log_profile : T train: 17.855894 2021-05-27 01:34:12.310: INFO @log_profile : T read data: 0.314372 2021-05-27 01:34:12.310: INFO @log_profile : T hooks: 3.060329 2021-05-27 01:34:12.310: INFO @main_loop : Epoch 355 done 2021-05-27 01:34:12.311: INFO @main_loop : Training epoch 356 2021-05-27 01:34:31.649: INFO @log_variables: train loss nanmean: 1.224237 2021-05-27 01:34:31.649: INFO @log_variables: train age_loss mean: 0.964532 2021-05-27 01:34:31.649: INFO @log_variables: train gender_loss mean: 0.354045 2021-05-27 01:34:31.649: INFO @log_variables: train age_mae mean: 10.777553 2021-05-27 01:34:31.649: INFO @log_variables: train gender_accuracy mean: 0.841762 2021-05-27 01:34:31.649: INFO @log_variables: train artificial_age_loss mean: 0.212073 2021-05-27 01:34:31.649: INFO @log_variables: train gender_confidence/loss nanmean: 0.070518 2021-05-27 01:34:31.649: INFO @log_variables: train gender_confidence/accuracy mean: 0.756122 2021-05-27 01:34:31.650: INFO @log_variables: train age_confidence/loss mean: 0.055101 2021-05-27 01:34:31.650: INFO @log_variables: train age_confidence/accuracy mean: 0.684176 2021-05-27 01:34:31.650: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:34:31.652: INFO @metrics_hook: train age_mae: 10.778 +-0.167 (13802) 2021-05-27 01:34:31.654: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13802) 2021-05-27 01:34:33.975: INFO @decay_lr : LR updated to `5.0366016e-05` 2021-05-27 01:34:33.977: INFO @log_profile : T train: 18.237804 2021-05-27 01:34:33.977: INFO @log_profile : T read data: 0.436661 2021-05-27 01:34:33.977: INFO @log_profile : T hooks: 2.936587 2021-05-27 01:34:33.977: INFO @main_loop : Epoch 356 done 2021-05-27 01:34:33.977: INFO @main_loop : Training epoch 357 2021-05-27 01:34:53.319: INFO @log_variables: train loss nanmean: 1.195137 2021-05-27 01:34:53.319: INFO @log_variables: train age_loss mean: 0.939131 2021-05-27 01:34:53.320: INFO @log_variables: train gender_loss mean: 0.367078 2021-05-27 01:34:53.320: INFO @log_variables: train age_mae mean: 10.576313 2021-05-27 01:34:53.320: INFO @log_variables: train gender_accuracy mean: 0.832827 2021-05-27 01:34:53.320: INFO @log_variables: train artificial_age_loss mean: 0.210920 2021-05-27 01:34:53.320: INFO @log_variables: train gender_confidence/loss nanmean: 0.070754 2021-05-27 01:34:53.320: INFO @log_variables: train gender_confidence/accuracy mean: 0.750072 2021-05-27 01:34:53.320: INFO @log_variables: train age_confidence/loss mean: 0.055751 2021-05-27 01:34:53.321: INFO @log_variables: train age_confidence/accuracy mean: 0.676288 2021-05-27 01:34:53.321: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:34:53.324: INFO @metrics_hook: train age_mae: 10.576 +-0.165 (13824) 2021-05-27 01:34:53.327: INFO @metrics_hook: train gender_accuracy: 0.833 +-0.006 (13824) 2021-05-27 01:34:55.649: INFO @decay_lr : LR updated to `5.0114184e-05` 2021-05-27 01:34:55.651: INFO @log_profile : T train: 18.390547 2021-05-27 01:34:55.651: INFO @log_profile : T read data: 0.294620 2021-05-27 01:34:55.651: INFO @log_profile : T hooks: 2.937393 2021-05-27 01:34:55.651: INFO @main_loop : Epoch 357 done 2021-05-27 01:34:55.651: INFO @main_loop : Training epoch 358 2021-05-27 01:35:14.613: INFO @log_variables: train loss nanmean: 1.181809 2021-05-27 01:35:14.613: INFO @log_variables: train age_loss mean: 0.946040 2021-05-27 01:35:14.613: INFO @log_variables: train gender_loss mean: 0.355561 2021-05-27 01:35:14.614: INFO @log_variables: train age_mae mean: 10.640026 2021-05-27 01:35:14.614: INFO @log_variables: train gender_accuracy mean: 0.841435 2021-05-27 01:35:14.614: INFO @log_variables: train artificial_age_loss mean: 0.209030 2021-05-27 01:35:14.614: INFO @log_variables: train gender_confidence/loss nanmean: 0.071047 2021-05-27 01:35:14.614: INFO @log_variables: train gender_confidence/accuracy mean: 0.754630 2021-05-27 01:35:14.614: INFO @log_variables: train age_confidence/loss mean: 0.055171 2021-05-27 01:35:14.614: INFO @log_variables: train age_confidence/accuracy mean: 0.681424 2021-05-27 01:35:14.614: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:35:14.616: INFO @metrics_hook: train age_mae: 10.640 +-0.164 (13824) 2021-05-27 01:35:14.618: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:35:16.929: INFO @decay_lr : LR updated to `4.9863615e-05` 2021-05-27 01:35:16.931: INFO @log_profile : T train: 17.976184 2021-05-27 01:35:16.931: INFO @log_profile : T read data: 0.302064 2021-05-27 01:35:16.932: INFO @log_profile : T hooks: 2.948710 2021-05-27 01:35:16.932: INFO @main_loop : Epoch 358 done 2021-05-27 01:35:16.932: INFO @main_loop : Training epoch 359 2021-05-27 01:35:36.233: INFO @log_variables: train loss nanmean: 1.204297 2021-05-27 01:35:36.233: INFO @log_variables: train age_loss mean: 0.953598 2021-05-27 01:35:36.233: INFO @log_variables: train gender_loss mean: 0.355548 2021-05-27 01:35:36.234: INFO @log_variables: train age_mae mean: 10.700810 2021-05-27 01:35:36.234: INFO @log_variables: train gender_accuracy mean: 0.841074 2021-05-27 01:35:36.234: INFO @log_variables: train artificial_age_loss mean: 0.210587 2021-05-27 01:35:36.234: INFO @log_variables: train gender_confidence/loss nanmean: 0.071229 2021-05-27 01:35:36.234: INFO @log_variables: train gender_confidence/accuracy mean: 0.757523 2021-05-27 01:35:36.234: INFO @log_variables: train age_confidence/loss mean: 0.055123 2021-05-27 01:35:36.234: INFO @log_variables: train age_confidence/accuracy mean: 0.680556 2021-05-27 01:35:36.234: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:35:36.236: INFO @metrics_hook: train age_mae: 10.701 +-0.165 (13824) 2021-05-27 01:35:36.238: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:35:38.467: INFO @decay_lr : LR updated to `4.9614297e-05` 2021-05-27 01:35:38.468: INFO @log_profile : T train: 18.332449 2021-05-27 01:35:38.468: INFO @log_profile : T read data: 0.311704 2021-05-27 01:35:38.468: INFO @log_profile : T hooks: 2.839393 2021-05-27 01:35:38.468: INFO @main_loop : Epoch 359 done 2021-05-27 01:35:38.468: INFO @main_loop : Training epoch 360 2021-05-27 01:35:57.762: INFO @log_variables: train loss nanmean: 1.192487 2021-05-27 01:35:57.762: INFO @log_variables: train age_loss mean: 0.928185 2021-05-27 01:35:57.762: INFO @log_variables: train gender_loss mean: 0.351455 2021-05-27 01:35:57.762: INFO @log_variables: train age_mae mean: 10.484062 2021-05-27 01:35:57.762: INFO @log_variables: train gender_accuracy mean: 0.844081 2021-05-27 01:35:57.762: INFO @log_variables: train artificial_age_loss mean: 0.209543 2021-05-27 01:35:57.762: INFO @log_variables: train gender_confidence/loss nanmean: 0.070656 2021-05-27 01:35:57.762: INFO @log_variables: train gender_confidence/accuracy mean: 0.748660 2021-05-27 01:35:57.762: INFO @log_variables: train age_confidence/loss mean: 0.055761 2021-05-27 01:35:57.763: INFO @log_variables: train age_confidence/accuracy mean: 0.675699 2021-05-27 01:35:57.763: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:35:57.765: INFO @metrics_hook: train age_mae: 10.484 +-0.163 (13802) 2021-05-27 01:35:57.766: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13802) 2021-05-27 01:36:00.016: INFO @decay_lr : LR updated to `4.9366226e-05` 2021-05-27 01:36:00.017: INFO @log_profile : T train: 18.192498 2021-05-27 01:36:00.017: INFO @log_profile : T read data: 0.448631 2021-05-27 01:36:00.017: INFO @log_profile : T hooks: 2.854093 2021-05-27 01:36:00.017: INFO @main_loop : Epoch 360 done 2021-05-27 01:36:00.017: INFO @main_loop : Training epoch 361 2021-05-27 01:36:19.089: INFO @log_variables: train loss nanmean: 1.207554 2021-05-27 01:36:19.089: INFO @log_variables: train age_loss mean: 0.949163 2021-05-27 01:36:19.089: INFO @log_variables: train gender_loss mean: 0.349141 2021-05-27 01:36:19.089: INFO @log_variables: train age_mae mean: 10.671100 2021-05-27 01:36:19.090: INFO @log_variables: train gender_accuracy mean: 0.843895 2021-05-27 01:36:19.090: INFO @log_variables: train artificial_age_loss mean: 0.212628 2021-05-27 01:36:19.090: INFO @log_variables: train gender_confidence/loss nanmean: 0.070495 2021-05-27 01:36:19.090: INFO @log_variables: train gender_confidence/accuracy mean: 0.760706 2021-05-27 01:36:19.090: INFO @log_variables: train age_confidence/loss mean: 0.054793 2021-05-27 01:36:19.090: INFO @log_variables: train age_confidence/accuracy mean: 0.685692 2021-05-27 01:36:19.090: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:36:19.091: INFO @metrics_hook: train age_mae: 10.671 +-0.163 (13824) 2021-05-27 01:36:19.093: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:36:21.421: INFO @decay_lr : LR updated to `4.9119397e-05` 2021-05-27 01:36:21.423: INFO @log_profile : T train: 18.092603 2021-05-27 01:36:21.423: INFO @log_profile : T read data: 0.305728 2021-05-27 01:36:21.423: INFO @log_profile : T hooks: 2.953208 2021-05-27 01:36:21.423: INFO @main_loop : Epoch 361 done 2021-05-27 01:36:21.423: INFO @main_loop : Training epoch 362 2021-05-27 01:36:40.531: INFO @log_variables: train loss nanmean: 1.198577 2021-05-27 01:36:40.531: INFO @log_variables: train age_loss mean: 0.943431 2021-05-27 01:36:40.531: INFO @log_variables: train gender_loss mean: 0.358666 2021-05-27 01:36:40.531: INFO @log_variables: train age_mae mean: 10.612191 2021-05-27 01:36:40.531: INFO @log_variables: train gender_accuracy mean: 0.841942 2021-05-27 01:36:40.531: INFO @log_variables: train artificial_age_loss mean: 0.209632 2021-05-27 01:36:40.531: INFO @log_variables: train gender_confidence/loss nanmean: 0.072080 2021-05-27 01:36:40.531: INFO @log_variables: train gender_confidence/accuracy mean: 0.750868 2021-05-27 01:36:40.532: INFO @log_variables: train age_confidence/loss mean: 0.055226 2021-05-27 01:36:40.532: INFO @log_variables: train age_confidence/accuracy mean: 0.680122 2021-05-27 01:36:40.532: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:36:40.534: INFO @metrics_hook: train age_mae: 10.612 +-0.161 (13824) 2021-05-27 01:36:40.536: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-05-27 01:36:42.827: INFO @decay_lr : LR updated to `4.88738e-05` 2021-05-27 01:36:42.829: INFO @log_profile : T train: 18.136369 2021-05-27 01:36:42.829: INFO @log_profile : T read data: 0.303397 2021-05-27 01:36:42.829: INFO @log_profile : T hooks: 2.913270 2021-05-27 01:36:42.829: INFO @main_loop : Epoch 362 done 2021-05-27 01:36:42.829: INFO @main_loop : Training epoch 363 2021-05-27 01:37:02.212: INFO @log_variables: train loss nanmean: 1.182304 2021-05-27 01:37:02.213: INFO @log_variables: train age_loss mean: 0.933838 2021-05-27 01:37:02.213: INFO @log_variables: train gender_loss mean: 0.350718 2021-05-27 01:37:02.213: INFO @log_variables: train age_mae mean: 10.519588 2021-05-27 01:37:02.213: INFO @log_variables: train gender_accuracy mean: 0.843244 2021-05-27 01:37:02.213: INFO @log_variables: train artificial_age_loss mean: 0.209770 2021-05-27 01:37:02.213: INFO @log_variables: train gender_confidence/loss nanmean: 0.070980 2021-05-27 01:37:02.213: INFO @log_variables: train gender_confidence/accuracy mean: 0.755425 2021-05-27 01:37:02.213: INFO @log_variables: train age_confidence/loss mean: 0.055722 2021-05-27 01:37:02.213: INFO @log_variables: train age_confidence/accuracy mean: 0.678747 2021-05-27 01:37:02.213: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:37:02.215: INFO @metrics_hook: train age_mae: 10.520 +-0.164 (13824) 2021-05-27 01:37:02.218: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:37:04.597: INFO @decay_lr : LR updated to `4.862943e-05` 2021-05-27 01:37:04.598: INFO @log_profile : T train: 18.387476 2021-05-27 01:37:04.598: INFO @log_profile : T read data: 0.304667 2021-05-27 01:37:04.598: INFO @log_profile : T hooks: 3.023284 2021-05-27 01:37:04.598: INFO @main_loop : Epoch 363 done 2021-05-27 01:37:04.598: INFO @main_loop : Training epoch 364 2021-05-27 01:37:23.861: INFO @log_variables: train loss nanmean: 1.176266 2021-05-27 01:37:23.861: INFO @log_variables: train age_loss mean: 0.941676 2021-05-27 01:37:23.861: INFO @log_variables: train gender_loss mean: 0.350777 2021-05-27 01:37:23.861: INFO @log_variables: train age_mae mean: 10.590755 2021-05-27 01:37:23.862: INFO @log_variables: train gender_accuracy mean: 0.843284 2021-05-27 01:37:23.862: INFO @log_variables: train artificial_age_loss mean: 0.207775 2021-05-27 01:37:23.862: INFO @log_variables: train gender_confidence/loss nanmean: 0.071350 2021-05-27 01:37:23.862: INFO @log_variables: train gender_confidence/accuracy mean: 0.750036 2021-05-27 01:37:23.862: INFO @log_variables: train age_confidence/loss mean: 0.055406 2021-05-27 01:37:23.862: INFO @log_variables: train age_confidence/accuracy mean: 0.687147 2021-05-27 01:37:23.862: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:37:23.863: INFO @metrics_hook: train age_mae: 10.591 +-0.163 (13802) 2021-05-27 01:37:23.864: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13802) 2021-05-27 01:37:26.059: INFO @decay_lr : LR updated to `4.8386282e-05` 2021-05-27 01:37:26.061: INFO @log_profile : T train: 18.170382 2021-05-27 01:37:26.061: INFO @log_profile : T read data: 0.433317 2021-05-27 01:37:26.061: INFO @log_profile : T hooks: 2.802192 2021-05-27 01:37:26.061: INFO @main_loop : Epoch 364 done 2021-05-27 01:37:26.061: INFO @main_loop : Training epoch 365 2021-05-27 01:37:45.392: INFO @log_variables: train loss nanmean: 1.181680 2021-05-27 01:37:45.394: INFO @log_variables: train age_loss mean: 0.925431 2021-05-27 01:37:45.394: INFO @log_variables: train gender_loss mean: 0.358370 2021-05-27 01:37:45.394: INFO @log_variables: train age_mae mean: 10.448129 2021-05-27 01:37:45.394: INFO @log_variables: train gender_accuracy mean: 0.840061 2021-05-27 01:37:45.394: INFO @log_variables: train artificial_age_loss mean: 0.210115 2021-05-27 01:37:45.395: INFO @log_variables: train gender_confidence/loss nanmean: 0.071210 2021-05-27 01:37:45.395: INFO @log_variables: train gender_confidence/accuracy mean: 0.750072 2021-05-27 01:37:45.395: INFO @log_variables: train age_confidence/loss mean: 0.056394 2021-05-27 01:37:45.395: INFO @log_variables: train age_confidence/accuracy mean: 0.670428 2021-05-27 01:37:45.395: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:37:45.397: INFO @metrics_hook: train age_mae: 10.448 +-0.164 (13824) 2021-05-27 01:37:45.398: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:37:47.588: INFO @decay_lr : LR updated to `4.814435e-05` 2021-05-27 01:37:47.590: INFO @log_profile : T train: 18.360636 2021-05-27 01:37:47.590: INFO @log_profile : T read data: 0.300051 2021-05-27 01:37:47.590: INFO @log_profile : T hooks: 2.815240 2021-05-27 01:37:47.590: INFO @main_loop : Epoch 365 done 2021-05-27 01:37:47.590: INFO @main_loop : Training epoch 366 2021-05-27 01:38:06.651: INFO @log_variables: train loss nanmean: 1.231536 2021-05-27 01:38:06.651: INFO @log_variables: train age_loss mean: 0.946112 2021-05-27 01:38:06.651: INFO @log_variables: train gender_loss mean: 0.360365 2021-05-27 01:38:06.651: INFO @log_variables: train age_mae mean: 10.618522 2021-05-27 01:38:06.651: INFO @log_variables: train gender_accuracy mean: 0.839627 2021-05-27 01:38:06.651: INFO @log_variables: train artificial_age_loss mean: 0.210082 2021-05-27 01:38:06.651: INFO @log_variables: train gender_confidence/loss nanmean: 0.071970 2021-05-27 01:38:06.651: INFO @log_variables: train gender_confidence/accuracy mean: 0.743924 2021-05-27 01:38:06.651: INFO @log_variables: train age_confidence/loss mean: 0.055390 2021-05-27 01:38:06.651: INFO @log_variables: train age_confidence/accuracy mean: 0.683666 2021-05-27 01:38:06.652: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:38:06.653: INFO @metrics_hook: train age_mae: 10.619 +-0.164 (13824) 2021-05-27 01:38:06.655: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:38:08.792: INFO @decay_lr : LR updated to `4.7903628e-05` 2021-05-27 01:38:08.793: INFO @log_profile : T train: 18.122261 2021-05-27 01:38:08.793: INFO @log_profile : T read data: 0.292200 2021-05-27 01:38:08.793: INFO @log_profile : T hooks: 2.737021 2021-05-27 01:38:08.793: INFO @main_loop : Epoch 366 done 2021-05-27 01:38:08.793: INFO @main_loop : Training epoch 367 2021-05-27 01:38:28.008: INFO @log_variables: train loss nanmean: 1.186370 2021-05-27 01:38:28.009: INFO @log_variables: train age_loss mean: 0.926527 2021-05-27 01:38:28.009: INFO @log_variables: train gender_loss mean: 0.349145 2021-05-27 01:38:28.009: INFO @log_variables: train age_mae mean: 10.447137 2021-05-27 01:38:28.009: INFO @log_variables: train gender_accuracy mean: 0.843027 2021-05-27 01:38:28.009: INFO @log_variables: train artificial_age_loss mean: 0.207337 2021-05-27 01:38:28.009: INFO @log_variables: train gender_confidence/loss nanmean: 0.070265 2021-05-27 01:38:28.009: INFO @log_variables: train gender_confidence/accuracy mean: 0.758681 2021-05-27 01:38:28.009: INFO @log_variables: train age_confidence/loss mean: 0.055527 2021-05-27 01:38:28.010: INFO @log_variables: train age_confidence/accuracy mean: 0.681641 2021-05-27 01:38:28.010: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:38:28.013: INFO @metrics_hook: train age_mae: 10.447 +-0.161 (13824) 2021-05-27 01:38:28.016: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:38:30.270: INFO @decay_lr : LR updated to `4.766411e-05` 2021-05-27 01:38:30.271: INFO @log_profile : T train: 18.234243 2021-05-27 01:38:30.271: INFO @log_profile : T read data: 0.301021 2021-05-27 01:38:30.271: INFO @log_profile : T hooks: 2.887901 2021-05-27 01:38:30.271: INFO @main_loop : Epoch 367 done 2021-05-27 01:38:30.271: INFO @main_loop : Training epoch 368 2021-05-27 01:38:49.598: INFO @log_variables: train loss nanmean: 1.192797 2021-05-27 01:38:49.598: INFO @log_variables: train age_loss mean: 0.950176 2021-05-27 01:38:49.598: INFO @log_variables: train gender_loss mean: 0.361359 2021-05-27 01:38:49.598: INFO @log_variables: train age_mae mean: 10.671767 2021-05-27 01:38:49.598: INFO @log_variables: train gender_accuracy mean: 0.839444 2021-05-27 01:38:49.598: INFO @log_variables: train artificial_age_loss mean: 0.206896 2021-05-27 01:38:49.598: INFO @log_variables: train gender_confidence/loss nanmean: 0.071737 2021-05-27 01:38:49.598: INFO @log_variables: train gender_confidence/accuracy mean: 0.749384 2021-05-27 01:38:49.598: INFO @log_variables: train age_confidence/loss mean: 0.055803 2021-05-27 01:38:49.599: INFO @log_variables: train age_confidence/accuracy mean: 0.677800 2021-05-27 01:38:49.599: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:38:49.601: INFO @metrics_hook: train age_mae: 10.672 +-0.168 (13802) 2021-05-27 01:38:49.602: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13802) 2021-05-27 01:38:51.942: INFO @decay_lr : LR updated to `4.742579e-05` 2021-05-27 01:38:51.944: INFO @log_profile : T train: 18.204961 2021-05-27 01:38:51.944: INFO @log_profile : T read data: 0.457846 2021-05-27 01:38:51.944: INFO @log_profile : T hooks: 2.956622 2021-05-27 01:38:51.944: INFO @main_loop : Epoch 368 done 2021-05-27 01:38:51.944: INFO @main_loop : Training epoch 369 2021-05-27 01:39:11.157: INFO @log_variables: train loss nanmean: 1.166473 2021-05-27 01:39:11.157: INFO @log_variables: train age_loss mean: 0.932281 2021-05-27 01:39:11.157: INFO @log_variables: train gender_loss mean: 0.347535 2021-05-27 01:39:11.157: INFO @log_variables: train age_mae mean: 10.488502 2021-05-27 01:39:11.157: INFO @log_variables: train gender_accuracy mean: 0.846933 2021-05-27 01:39:11.157: INFO @log_variables: train artificial_age_loss mean: 0.206261 2021-05-27 01:39:11.158: INFO @log_variables: train gender_confidence/loss nanmean: 0.071400 2021-05-27 01:39:11.158: INFO @log_variables: train gender_confidence/accuracy mean: 0.752676 2021-05-27 01:39:11.158: INFO @log_variables: train age_confidence/loss mean: 0.055416 2021-05-27 01:39:11.158: INFO @log_variables: train age_confidence/accuracy mean: 0.680917 2021-05-27 01:39:11.158: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:39:11.159: INFO @metrics_hook: train age_mae: 10.489 +-0.162 (13824) 2021-05-27 01:39:11.161: INFO @metrics_hook: train gender_accuracy: 0.847 +-0.006 (13824) 2021-05-27 01:39:13.608: INFO @decay_lr : LR updated to `4.718866e-05` 2021-05-27 01:39:13.610: INFO @log_profile : T train: 18.243739 2021-05-27 01:39:13.610: INFO @log_profile : T read data: 0.298153 2021-05-27 01:39:13.610: INFO @log_profile : T hooks: 3.069764 2021-05-27 01:39:13.610: INFO @main_loop : Epoch 369 done 2021-05-27 01:39:13.610: INFO @main_loop : Training epoch 370 2021-05-27 01:39:32.931: INFO @log_variables: train loss nanmean: 1.193600 2021-05-27 01:39:32.932: INFO @log_variables: train age_loss mean: 0.950123 2021-05-27 01:39:32.932: INFO @log_variables: train gender_loss mean: 0.352074 2021-05-27 01:39:32.932: INFO @log_variables: train age_mae mean: 10.679554 2021-05-27 01:39:32.932: INFO @log_variables: train gender_accuracy mean: 0.843822 2021-05-27 01:39:32.932: INFO @log_variables: train artificial_age_loss mean: 0.210715 2021-05-27 01:39:32.932: INFO @log_variables: train gender_confidence/loss nanmean: 0.070945 2021-05-27 01:39:32.932: INFO @log_variables: train gender_confidence/accuracy mean: 0.748192 2021-05-27 01:39:32.932: INFO @log_variables: train age_confidence/loss mean: 0.055111 2021-05-27 01:39:32.932: INFO @log_variables: train age_confidence/accuracy mean: 0.685909 2021-05-27 01:39:32.932: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:39:32.934: INFO @metrics_hook: train age_mae: 10.680 +-0.166 (13824) 2021-05-27 01:39:32.936: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:39:35.305: INFO @decay_lr : LR updated to `4.6952715e-05` 2021-05-27 01:39:35.306: INFO @log_profile : T train: 18.330407 2021-05-27 01:39:35.306: INFO @log_profile : T read data: 0.316353 2021-05-27 01:39:35.307: INFO @log_profile : T hooks: 2.995558 2021-05-27 01:39:35.307: INFO @main_loop : Epoch 370 done 2021-05-27 01:39:35.307: INFO @main_loop : Training epoch 371 2021-05-27 01:39:54.532: INFO @log_variables: train loss nanmean: 1.186095 2021-05-27 01:39:54.532: INFO @log_variables: train age_loss mean: 0.944573 2021-05-27 01:39:54.532: INFO @log_variables: train gender_loss mean: 0.355517 2021-05-27 01:39:54.532: INFO @log_variables: train age_mae mean: 10.629107 2021-05-27 01:39:54.532: INFO @log_variables: train gender_accuracy mean: 0.839326 2021-05-27 01:39:54.532: INFO @log_variables: train artificial_age_loss mean: 0.208157 2021-05-27 01:39:54.533: INFO @log_variables: train gender_confidence/loss nanmean: 0.069987 2021-05-27 01:39:54.533: INFO @log_variables: train gender_confidence/accuracy mean: 0.760906 2021-05-27 01:39:54.533: INFO @log_variables: train age_confidence/loss mean: 0.054851 2021-05-27 01:39:54.533: INFO @log_variables: train age_confidence/accuracy mean: 0.680388 2021-05-27 01:39:54.533: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:39:54.535: INFO @metrics_hook: train age_mae: 10.629 +-0.162 (13823) 2021-05-27 01:39:54.538: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13823) 2021-05-27 01:39:56.883: INFO @decay_lr : LR updated to `4.6717953e-05` 2021-05-27 01:39:56.884: INFO @log_profile : T train: 18.257500 2021-05-27 01:39:56.884: INFO @log_profile : T read data: 0.294945 2021-05-27 01:39:56.884: INFO @log_profile : T hooks: 2.971515 2021-05-27 01:39:56.884: INFO @main_loop : Epoch 371 done 2021-05-27 01:39:56.884: INFO @main_loop : Training epoch 372 2021-05-27 01:40:15.938: INFO @log_variables: train loss nanmean: 1.181332 2021-05-27 01:40:15.939: INFO @log_variables: train age_loss mean: 0.940879 2021-05-27 01:40:15.939: INFO @log_variables: train gender_loss mean: 0.358927 2021-05-27 01:40:15.939: INFO @log_variables: train age_mae mean: 10.576200 2021-05-27 01:40:15.939: INFO @log_variables: train gender_accuracy mean: 0.840301 2021-05-27 01:40:15.939: INFO @log_variables: train artificial_age_loss mean: 0.207957 2021-05-27 01:40:15.939: INFO @log_variables: train gender_confidence/loss nanmean: 0.070953 2021-05-27 01:40:15.939: INFO @log_variables: train gender_confidence/accuracy mean: 0.749946 2021-05-27 01:40:15.939: INFO @log_variables: train age_confidence/loss mean: 0.055212 2021-05-27 01:40:15.939: INFO @log_variables: train age_confidence/accuracy mean: 0.682632 2021-05-27 01:40:15.939: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:40:15.941: INFO @metrics_hook: train age_mae: 10.576 +-0.164 (13801) 2021-05-27 01:40:15.943: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13801) 2021-05-27 01:40:18.150: INFO @decay_lr : LR updated to `4.648436e-05` 2021-05-27 01:40:18.151: INFO @log_profile : T train: 17.932502 2021-05-27 01:40:18.151: INFO @log_profile : T read data: 0.444480 2021-05-27 01:40:18.151: INFO @log_profile : T hooks: 2.836003 2021-05-27 01:40:18.151: INFO @main_loop : Epoch 372 done 2021-05-27 01:40:18.151: INFO @main_loop : Training epoch 373 2021-05-27 01:40:37.618: INFO @log_variables: train loss nanmean: 1.196214 2021-05-27 01:40:37.618: INFO @log_variables: train age_loss mean: 0.953083 2021-05-27 01:40:37.618: INFO @log_variables: train gender_loss mean: 0.348941 2021-05-27 01:40:37.619: INFO @log_variables: train age_mae mean: 10.694062 2021-05-27 01:40:37.619: INFO @log_variables: train gender_accuracy mean: 0.843461 2021-05-27 01:40:37.619: INFO @log_variables: train artificial_age_loss mean: 0.208276 2021-05-27 01:40:37.619: INFO @log_variables: train gender_confidence/loss nanmean: 0.070470 2021-05-27 01:40:37.619: INFO @log_variables: train gender_confidence/accuracy mean: 0.754919 2021-05-27 01:40:37.619: INFO @log_variables: train age_confidence/loss mean: 0.054872 2021-05-27 01:40:37.619: INFO @log_variables: train age_confidence/accuracy mean: 0.687500 2021-05-27 01:40:37.619: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:40:37.621: INFO @metrics_hook: train age_mae: 10.694 +-0.165 (13824) 2021-05-27 01:40:37.622: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:40:40.015: INFO @decay_lr : LR updated to `4.625194e-05` 2021-05-27 01:40:40.016: INFO @log_profile : T train: 18.496334 2021-05-27 01:40:40.017: INFO @log_profile : T read data: 0.302297 2021-05-27 01:40:40.017: INFO @log_profile : T hooks: 3.012087 2021-05-27 01:40:40.017: INFO @main_loop : Epoch 373 done 2021-05-27 01:40:40.017: INFO @main_loop : Training epoch 374 2021-05-27 01:40:59.225: INFO @log_variables: train loss nanmean: 1.181908 2021-05-27 01:40:59.228: INFO @log_variables: train age_loss mean: 0.933013 2021-05-27 01:40:59.230: INFO @log_variables: train gender_loss mean: 0.357583 2021-05-27 01:40:59.230: INFO @log_variables: train age_mae mean: 10.518743 2021-05-27 01:40:59.231: INFO @log_variables: train gender_accuracy mean: 0.841074 2021-05-27 01:40:59.231: INFO @log_variables: train artificial_age_loss mean: 0.207495 2021-05-27 01:40:59.231: INFO @log_variables: train gender_confidence/loss nanmean: 0.071647 2021-05-27 01:40:59.231: INFO @log_variables: train gender_confidence/accuracy mean: 0.742188 2021-05-27 01:40:59.231: INFO @log_variables: train age_confidence/loss mean: 0.055620 2021-05-27 01:40:59.231: INFO @log_variables: train age_confidence/accuracy mean: 0.681207 2021-05-27 01:40:59.231: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:40:59.233: INFO @metrics_hook: train age_mae: 10.519 +-0.163 (13824) 2021-05-27 01:40:59.235: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:41:01.616: INFO @decay_lr : LR updated to `4.602068e-05` 2021-05-27 01:41:01.617: INFO @log_profile : T train: 18.219822 2021-05-27 01:41:01.617: INFO @log_profile : T read data: 0.302728 2021-05-27 01:41:01.617: INFO @log_profile : T hooks: 3.021452 2021-05-27 01:41:01.617: INFO @main_loop : Epoch 374 done 2021-05-27 01:41:01.617: INFO @main_loop : Training epoch 375 2021-05-27 01:41:20.966: INFO @log_variables: train loss nanmean: 1.180160 2021-05-27 01:41:20.966: INFO @log_variables: train age_loss mean: 0.931851 2021-05-27 01:41:20.966: INFO @log_variables: train gender_loss mean: 0.348156 2021-05-27 01:41:20.966: INFO @log_variables: train age_mae mean: 10.516607 2021-05-27 01:41:20.966: INFO @log_variables: train gender_accuracy mean: 0.846182 2021-05-27 01:41:20.966: INFO @log_variables: train artificial_age_loss mean: 0.208723 2021-05-27 01:41:20.966: INFO @log_variables: train gender_confidence/loss nanmean: 0.071150 2021-05-27 01:41:20.966: INFO @log_variables: train gender_confidence/accuracy mean: 0.750326 2021-05-27 01:41:20.967: INFO @log_variables: train age_confidence/loss mean: 0.055128 2021-05-27 01:41:20.967: INFO @log_variables: train age_confidence/accuracy mean: 0.684394 2021-05-27 01:41:20.967: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:41:20.969: INFO @metrics_hook: train age_mae: 10.517 +-0.163 (13802) 2021-05-27 01:41:20.971: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13802) 2021-05-27 01:41:23.347: INFO @decay_lr : LR updated to `4.5790577e-05` 2021-05-27 01:41:23.349: INFO @log_profile : T train: 18.252466 2021-05-27 01:41:23.349: INFO @log_profile : T read data: 0.438161 2021-05-27 01:41:23.349: INFO @log_profile : T hooks: 2.987787 2021-05-27 01:41:23.349: INFO @main_loop : Epoch 375 done 2021-05-27 01:41:23.349: INFO @main_loop : Training epoch 376 2021-05-27 01:41:42.679: INFO @log_variables: train loss nanmean: 1.174952 2021-05-27 01:41:42.680: INFO @log_variables: train age_loss mean: 0.944276 2021-05-27 01:41:42.680: INFO @log_variables: train gender_loss mean: 0.349066 2021-05-27 01:41:42.680: INFO @log_variables: train age_mae mean: 10.619427 2021-05-27 01:41:42.680: INFO @log_variables: train gender_accuracy mean: 0.844473 2021-05-27 01:41:42.680: INFO @log_variables: train artificial_age_loss mean: 0.208559 2021-05-27 01:41:42.680: INFO @log_variables: train gender_confidence/loss nanmean: 0.070853 2021-05-27 01:41:42.680: INFO @log_variables: train gender_confidence/accuracy mean: 0.760055 2021-05-27 01:41:42.680: INFO @log_variables: train age_confidence/loss mean: 0.056024 2021-05-27 01:41:42.680: INFO @log_variables: train age_confidence/accuracy mean: 0.678024 2021-05-27 01:41:42.680: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:41:42.681: INFO @metrics_hook: train age_mae: 10.619 +-0.164 (13824) 2021-05-27 01:41:42.683: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:41:45.056: INFO @decay_lr : LR updated to `4.5561625e-05` 2021-05-27 01:41:45.058: INFO @log_profile : T train: 18.399142 2021-05-27 01:41:45.058: INFO @log_profile : T read data: 0.295576 2021-05-27 01:41:45.058: INFO @log_profile : T hooks: 2.962248 2021-05-27 01:41:45.058: INFO @main_loop : Epoch 376 done 2021-05-27 01:41:45.058: INFO @main_loop : Training epoch 377 2021-05-27 01:42:04.261: INFO @log_variables: train loss nanmean: 1.157023 2021-05-27 01:42:04.261: INFO @log_variables: train age_loss mean: 0.937155 2021-05-27 01:42:04.261: INFO @log_variables: train gender_loss mean: 0.338040 2021-05-27 01:42:04.261: INFO @log_variables: train age_mae mean: 10.564446 2021-05-27 01:42:04.261: INFO @log_variables: train gender_accuracy mean: 0.849175 2021-05-27 01:42:04.261: INFO @log_variables: train artificial_age_loss mean: 0.207351 2021-05-27 01:42:04.261: INFO @log_variables: train gender_confidence/loss nanmean: 0.069981 2021-05-27 01:42:04.261: INFO @log_variables: train gender_confidence/accuracy mean: 0.760851 2021-05-27 01:42:04.261: INFO @log_variables: train age_confidence/loss mean: 0.055860 2021-05-27 01:42:04.261: INFO @log_variables: train age_confidence/accuracy mean: 0.676288 2021-05-27 01:42:04.261: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:42:04.263: INFO @metrics_hook: train age_mae: 10.564 +-0.164 (13824) 2021-05-27 01:42:04.264: INFO @metrics_hook: train gender_accuracy: 0.849 +-0.006 (13824) 2021-05-27 01:42:06.531: INFO @decay_lr : LR updated to `4.5333818e-05` 2021-05-27 01:42:06.532: INFO @log_profile : T train: 18.253176 2021-05-27 01:42:06.532: INFO @log_profile : T read data: 0.306536 2021-05-27 01:42:06.532: INFO @log_profile : T hooks: 2.860423 2021-05-27 01:42:06.532: INFO @main_loop : Epoch 377 done 2021-05-27 01:42:06.532: INFO @main_loop : Training epoch 378 2021-05-27 01:42:25.957: INFO @log_variables: train loss nanmean: 1.181805 2021-05-27 01:42:25.957: INFO @log_variables: train age_loss mean: 0.939575 2021-05-27 01:42:25.957: INFO @log_variables: train gender_loss mean: 0.353582 2021-05-27 01:42:25.957: INFO @log_variables: train age_mae mean: 10.604870 2021-05-27 01:42:25.957: INFO @log_variables: train gender_accuracy mean: 0.841797 2021-05-27 01:42:25.957: INFO @log_variables: train artificial_age_loss mean: 0.208079 2021-05-27 01:42:25.957: INFO @log_variables: train gender_confidence/loss nanmean: 0.071320 2021-05-27 01:42:25.957: INFO @log_variables: train gender_confidence/accuracy mean: 0.752025 2021-05-27 01:42:25.957: INFO @log_variables: train age_confidence/loss mean: 0.055966 2021-05-27 01:42:25.957: INFO @log_variables: train age_confidence/accuracy mean: 0.679109 2021-05-27 01:42:25.958: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:42:25.959: INFO @metrics_hook: train age_mae: 10.605 +-0.165 (13824) 2021-05-27 01:42:25.960: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-05-27 01:42:28.170: INFO @decay_lr : LR updated to `4.510715e-05` 2021-05-27 01:42:28.172: INFO @log_profile : T train: 18.435945 2021-05-27 01:42:28.172: INFO @log_profile : T read data: 0.307313 2021-05-27 01:42:28.172: INFO @log_profile : T hooks: 2.842320 2021-05-27 01:42:28.172: INFO @main_loop : Epoch 378 done 2021-05-27 01:42:28.172: INFO @main_loop : Training epoch 379 2021-05-27 01:42:47.343: INFO @log_variables: train loss nanmean: 1.170365 2021-05-27 01:42:47.343: INFO @log_variables: train age_loss mean: 0.935734 2021-05-27 01:42:47.343: INFO @log_variables: train gender_loss mean: 0.352853 2021-05-27 01:42:47.343: INFO @log_variables: train age_mae mean: 10.552398 2021-05-27 01:42:47.343: INFO @log_variables: train gender_accuracy mean: 0.842414 2021-05-27 01:42:47.343: INFO @log_variables: train artificial_age_loss mean: 0.209154 2021-05-27 01:42:47.344: INFO @log_variables: train gender_confidence/loss nanmean: 0.070569 2021-05-27 01:42:47.344: INFO @log_variables: train gender_confidence/accuracy mean: 0.755036 2021-05-27 01:42:47.344: INFO @log_variables: train age_confidence/loss mean: 0.055640 2021-05-27 01:42:47.344: INFO @log_variables: train age_confidence/accuracy mean: 0.677438 2021-05-27 01:42:47.344: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:42:47.347: INFO @metrics_hook: train age_mae: 10.552 +-0.164 (13802) 2021-05-27 01:42:47.349: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13802) 2021-05-27 01:42:49.750: INFO @decay_lr : LR updated to `4.4881614e-05` 2021-05-27 01:42:49.751: INFO @log_profile : T train: 18.023558 2021-05-27 01:42:49.751: INFO @log_profile : T read data: 0.474034 2021-05-27 01:42:49.751: INFO @log_profile : T hooks: 3.026647 2021-05-27 01:42:49.752: INFO @main_loop : Epoch 379 done 2021-05-27 01:42:49.752: INFO @main_loop : Training epoch 380 2021-05-27 01:43:09.245: INFO @log_variables: train loss nanmean: 1.175781 2021-05-27 01:43:09.245: INFO @log_variables: train age_loss mean: 0.940847 2021-05-27 01:43:09.245: INFO @log_variables: train gender_loss mean: 0.353438 2021-05-27 01:43:09.245: INFO @log_variables: train age_mae mean: 10.596082 2021-05-27 01:43:09.245: INFO @log_variables: train gender_accuracy mean: 0.841797 2021-05-27 01:43:09.245: INFO @log_variables: train artificial_age_loss mean: 0.210139 2021-05-27 01:43:09.245: INFO @log_variables: train gender_confidence/loss nanmean: 0.071659 2021-05-27 01:43:09.245: INFO @log_variables: train gender_confidence/accuracy mean: 0.756438 2021-05-27 01:43:09.246: INFO @log_variables: train age_confidence/loss mean: 0.055393 2021-05-27 01:43:09.246: INFO @log_variables: train age_confidence/accuracy mean: 0.680483 2021-05-27 01:43:09.246: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:43:09.248: INFO @metrics_hook: train age_mae: 10.596 +-0.165 (13824) 2021-05-27 01:43:09.250: INFO @metrics_hook: train gender_accuracy: 0.842 +-0.006 (13824) 2021-05-27 01:43:11.490: INFO @decay_lr : LR updated to `4.4657205e-05` 2021-05-27 01:43:11.491: INFO @log_profile : T train: 18.512134 2021-05-27 01:43:11.491: INFO @log_profile : T read data: 0.312543 2021-05-27 01:43:11.491: INFO @log_profile : T hooks: 2.861794 2021-05-27 01:43:11.491: INFO @main_loop : Epoch 380 done 2021-05-27 01:43:11.491: INFO @main_loop : Training epoch 381 2021-05-27 01:43:30.950: INFO @log_variables: train loss nanmean: 1.171094 2021-05-27 01:43:30.951: INFO @log_variables: train age_loss mean: 0.938539 2021-05-27 01:43:30.951: INFO @log_variables: train gender_loss mean: 0.353588 2021-05-27 01:43:30.951: INFO @log_variables: train age_mae mean: 10.530102 2021-05-27 01:43:30.951: INFO @log_variables: train gender_accuracy mean: 0.840422 2021-05-27 01:43:30.951: INFO @log_variables: train artificial_age_loss mean: 0.207770 2021-05-27 01:43:30.951: INFO @log_variables: train gender_confidence/loss nanmean: 0.071013 2021-05-27 01:43:30.951: INFO @log_variables: train gender_confidence/accuracy mean: 0.744647 2021-05-27 01:43:30.951: INFO @log_variables: train age_confidence/loss mean: 0.055007 2021-05-27 01:43:30.951: INFO @log_variables: train age_confidence/accuracy mean: 0.691551 2021-05-27 01:43:30.952: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:43:30.954: INFO @metrics_hook: train age_mae: 10.530 +-0.164 (13824) 2021-05-27 01:43:30.956: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13824) 2021-05-27 01:43:33.277: INFO @decay_lr : LR updated to `4.443392e-05` 2021-05-27 01:43:33.279: INFO @log_profile : T train: 18.460065 2021-05-27 01:43:33.279: INFO @log_profile : T read data: 0.306655 2021-05-27 01:43:33.279: INFO @log_profile : T hooks: 2.967295 2021-05-27 01:43:33.279: INFO @main_loop : Epoch 381 done 2021-05-27 01:43:33.279: INFO @main_loop : Training epoch 382 2021-05-27 01:43:52.378: INFO @log_variables: train loss nanmean: 1.184112 2021-05-27 01:43:52.379: INFO @log_variables: train age_loss mean: 0.932053 2021-05-27 01:43:52.379: INFO @log_variables: train gender_loss mean: 0.357206 2021-05-27 01:43:52.379: INFO @log_variables: train age_mae mean: 10.491754 2021-05-27 01:43:52.379: INFO @log_variables: train gender_accuracy mean: 0.838542 2021-05-27 01:43:52.379: INFO @log_variables: train artificial_age_loss mean: 0.208357 2021-05-27 01:43:52.379: INFO @log_variables: train gender_confidence/loss nanmean: 0.070118 2021-05-27 01:43:52.379: INFO @log_variables: train gender_confidence/accuracy mean: 0.753328 2021-05-27 01:43:52.379: INFO @log_variables: train age_confidence/loss mean: 0.055680 2021-05-27 01:43:52.379: INFO @log_variables: train age_confidence/accuracy mean: 0.673394 2021-05-27 01:43:52.379: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:43:52.381: INFO @metrics_hook: train age_mae: 10.492 +-0.163 (13824) 2021-05-27 01:43:52.382: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-05-27 01:43:54.664: INFO @decay_lr : LR updated to `4.421175e-05` 2021-05-27 01:43:54.666: INFO @log_profile : T train: 18.160363 2021-05-27 01:43:54.666: INFO @log_profile : T read data: 0.299810 2021-05-27 01:43:54.666: INFO @log_profile : T hooks: 2.874445 2021-05-27 01:43:54.666: INFO @main_loop : Epoch 382 done 2021-05-27 01:43:54.666: INFO @main_loop : Training epoch 383 2021-05-27 01:44:14.472: INFO @log_variables: train loss nanmean: 1.161305 2021-05-27 01:44:14.472: INFO @log_variables: train age_loss mean: 0.920566 2021-05-27 01:44:14.472: INFO @log_variables: train gender_loss mean: 0.355722 2021-05-27 01:44:14.473: INFO @log_variables: train age_mae mean: 10.398196 2021-05-27 01:44:14.473: INFO @log_variables: train gender_accuracy mean: 0.840385 2021-05-27 01:44:14.473: INFO @log_variables: train artificial_age_loss mean: 0.209157 2021-05-27 01:44:14.473: INFO @log_variables: train gender_confidence/loss nanmean: 0.070653 2021-05-27 01:44:14.473: INFO @log_variables: train gender_confidence/accuracy mean: 0.749384 2021-05-27 01:44:14.473: INFO @log_variables: train age_confidence/loss mean: 0.055770 2021-05-27 01:44:14.473: INFO @log_variables: train age_confidence/accuracy mean: 0.677366 2021-05-27 01:44:14.473: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:44:14.475: INFO @metrics_hook: train age_mae: 10.398 +-0.162 (13802) 2021-05-27 01:44:14.477: INFO @metrics_hook: train gender_accuracy: 0.840 +-0.006 (13802) 2021-05-27 01:44:16.672: INFO @decay_lr : LR updated to `4.399069e-05` 2021-05-27 01:44:16.673: INFO @log_profile : T train: 18.629620 2021-05-27 01:44:16.673: INFO @log_profile : T read data: 0.479897 2021-05-27 01:44:16.674: INFO @log_profile : T hooks: 2.841842 2021-05-27 01:44:16.674: INFO @main_loop : Epoch 383 done 2021-05-27 01:44:16.674: INFO @main_loop : Training epoch 384 2021-05-27 01:44:35.907: INFO @log_variables: train loss nanmean: 1.182582 2021-05-27 01:44:35.907: INFO @log_variables: train age_loss mean: 0.933967 2021-05-27 01:44:35.907: INFO @log_variables: train gender_loss mean: 0.351270 2021-05-27 01:44:35.907: INFO @log_variables: train age_mae mean: 10.500036 2021-05-27 01:44:35.907: INFO @log_variables: train gender_accuracy mean: 0.842882 2021-05-27 01:44:35.907: INFO @log_variables: train artificial_age_loss mean: 0.208318 2021-05-27 01:44:35.907: INFO @log_variables: train gender_confidence/loss nanmean: 0.071542 2021-05-27 01:44:35.908: INFO @log_variables: train gender_confidence/accuracy mean: 0.746600 2021-05-27 01:44:35.908: INFO @log_variables: train age_confidence/loss mean: 0.055478 2021-05-27 01:44:35.908: INFO @log_variables: train age_confidence/accuracy mean: 0.681207 2021-05-27 01:44:35.908: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:44:35.910: INFO @metrics_hook: train age_mae: 10.500 +-0.163 (13824) 2021-05-27 01:44:35.912: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:44:38.092: INFO @decay_lr : LR updated to `4.377074e-05` 2021-05-27 01:44:38.093: INFO @log_profile : T train: 18.254713 2021-05-27 01:44:38.093: INFO @log_profile : T read data: 0.287018 2021-05-27 01:44:38.093: INFO @log_profile : T hooks: 2.824270 2021-05-27 01:44:38.093: INFO @main_loop : Epoch 384 done 2021-05-27 01:44:38.093: INFO @main_loop : Training epoch 385 2021-05-27 01:44:57.507: INFO @log_variables: train loss nanmean: 1.166286 2021-05-27 01:44:57.507: INFO @log_variables: train age_loss mean: 0.928050 2021-05-27 01:44:57.507: INFO @log_variables: train gender_loss mean: 0.352907 2021-05-27 01:44:57.507: INFO @log_variables: train age_mae mean: 10.447419 2021-05-27 01:44:57.508: INFO @log_variables: train gender_accuracy mean: 0.845341 2021-05-27 01:44:57.508: INFO @log_variables: train artificial_age_loss mean: 0.206804 2021-05-27 01:44:57.508: INFO @log_variables: train gender_confidence/loss nanmean: 0.071568 2021-05-27 01:44:57.508: INFO @log_variables: train gender_confidence/accuracy mean: 0.749638 2021-05-27 01:44:57.508: INFO @log_variables: train age_confidence/loss mean: 0.055239 2021-05-27 01:44:57.508: INFO @log_variables: train age_confidence/accuracy mean: 0.679688 2021-05-27 01:44:57.508: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:44:57.509: INFO @metrics_hook: train age_mae: 10.447 +-0.161 (13824) 2021-05-27 01:44:57.510: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-05-27 01:44:59.669: INFO @decay_lr : LR updated to `4.3551885e-05` 2021-05-27 01:44:59.670: INFO @log_profile : T train: 18.407077 2021-05-27 01:44:59.670: INFO @log_profile : T read data: 0.293292 2021-05-27 01:44:59.670: INFO @log_profile : T hooks: 2.824053 2021-05-27 01:44:59.670: INFO @main_loop : Epoch 385 done 2021-05-27 01:44:59.670: INFO @main_loop : Training epoch 386 2021-05-27 01:45:18.879: INFO @log_variables: train loss nanmean: 1.168324 2021-05-27 01:45:18.879: INFO @log_variables: train age_loss mean: 0.931838 2021-05-27 01:45:18.880: INFO @log_variables: train gender_loss mean: 0.347054 2021-05-27 01:45:18.880: INFO @log_variables: train age_mae mean: 10.512321 2021-05-27 01:45:18.880: INFO @log_variables: train gender_accuracy mean: 0.847512 2021-05-27 01:45:18.880: INFO @log_variables: train artificial_age_loss mean: 0.209125 2021-05-27 01:45:18.880: INFO @log_variables: train gender_confidence/loss nanmean: 0.071118 2021-05-27 01:45:18.880: INFO @log_variables: train gender_confidence/accuracy mean: 0.757161 2021-05-27 01:45:18.880: INFO @log_variables: train age_confidence/loss mean: 0.055994 2021-05-27 01:45:18.880: INFO @log_variables: train age_confidence/accuracy mean: 0.672598 2021-05-27 01:45:18.880: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:45:18.882: INFO @metrics_hook: train age_mae: 10.512 +-0.164 (13824) 2021-05-27 01:45:18.884: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13824) 2021-05-27 01:45:21.003: INFO @decay_lr : LR updated to `4.3334127e-05` 2021-05-27 01:45:21.005: INFO @log_profile : T train: 18.140396 2021-05-27 01:45:21.005: INFO @log_profile : T read data: 0.292382 2021-05-27 01:45:21.005: INFO @log_profile : T hooks: 2.849366 2021-05-27 01:45:21.005: INFO @main_loop : Epoch 386 done 2021-05-27 01:45:21.005: INFO @main_loop : Training epoch 387 2021-05-27 01:45:40.533: INFO @log_variables: train loss nanmean: 1.175621 2021-05-27 01:45:40.533: INFO @log_variables: train age_loss mean: 0.931144 2021-05-27 01:45:40.533: INFO @log_variables: train gender_loss mean: 0.360251 2021-05-27 01:45:40.533: INFO @log_variables: train age_mae mean: 10.503583 2021-05-27 01:45:40.533: INFO @log_variables: train gender_accuracy mean: 0.839299 2021-05-27 01:45:40.533: INFO @log_variables: train artificial_age_loss mean: 0.206478 2021-05-27 01:45:40.533: INFO @log_variables: train gender_confidence/loss nanmean: 0.071736 2021-05-27 01:45:40.533: INFO @log_variables: train gender_confidence/accuracy mean: 0.747283 2021-05-27 01:45:40.533: INFO @log_variables: train age_confidence/loss mean: 0.056147 2021-05-27 01:45:40.533: INFO @log_variables: train age_confidence/accuracy mean: 0.668961 2021-05-27 01:45:40.534: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:45:40.535: INFO @metrics_hook: train age_mae: 10.504 +-0.166 (13802) 2021-05-27 01:45:40.537: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13802) 2021-05-27 01:45:42.609: INFO @decay_lr : LR updated to `4.3117456e-05` 2021-05-27 01:45:42.610: INFO @log_profile : T train: 18.387358 2021-05-27 01:45:42.610: INFO @log_profile : T read data: 0.407458 2021-05-27 01:45:42.610: INFO @log_profile : T hooks: 2.754986 2021-05-27 01:45:42.610: INFO @main_loop : Epoch 387 done 2021-05-27 01:45:42.610: INFO @main_loop : Training epoch 388 2021-05-27 01:46:01.854: INFO @log_variables: train loss nanmean: 1.169376 2021-05-27 01:46:01.854: INFO @log_variables: train age_loss mean: 0.929014 2021-05-27 01:46:01.854: INFO @log_variables: train gender_loss mean: 0.352311 2021-05-27 01:46:01.855: INFO @log_variables: train age_mae mean: 10.471924 2021-05-27 01:46:01.855: INFO @log_variables: train gender_accuracy mean: 0.842737 2021-05-27 01:46:01.855: INFO @log_variables: train artificial_age_loss mean: 0.209236 2021-05-27 01:46:01.855: INFO @log_variables: train gender_confidence/loss nanmean: 0.070882 2021-05-27 01:46:01.855: INFO @log_variables: train gender_confidence/accuracy mean: 0.751013 2021-05-27 01:46:01.855: INFO @log_variables: train age_confidence/loss mean: 0.055734 2021-05-27 01:46:01.855: INFO @log_variables: train age_confidence/accuracy mean: 0.682147 2021-05-27 01:46:01.855: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:46:01.857: INFO @metrics_hook: train age_mae: 10.472 +-0.164 (13824) 2021-05-27 01:46:01.859: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:46:03.918: INFO @decay_lr : LR updated to `4.290187e-05` 2021-05-27 01:46:03.919: INFO @log_profile : T train: 18.234372 2021-05-27 01:46:03.920: INFO @log_profile : T read data: 0.298560 2021-05-27 01:46:03.920: INFO @log_profile : T hooks: 2.722543 2021-05-27 01:46:03.920: INFO @main_loop : Epoch 388 done 2021-05-27 01:46:03.920: INFO @main_loop : Training epoch 389 2021-05-27 01:46:22.776: INFO @log_variables: train loss nanmean: 1.173268 2021-05-27 01:46:22.776: INFO @log_variables: train age_loss mean: 0.937566 2021-05-27 01:46:22.776: INFO @log_variables: train gender_loss mean: 0.351056 2021-05-27 01:46:22.777: INFO @log_variables: train age_mae mean: 10.552185 2021-05-27 01:46:22.777: INFO @log_variables: train gender_accuracy mean: 0.845052 2021-05-27 01:46:22.777: INFO @log_variables: train artificial_age_loss mean: 0.208496 2021-05-27 01:46:22.777: INFO @log_variables: train gender_confidence/loss nanmean: 0.071369 2021-05-27 01:46:22.777: INFO @log_variables: train gender_confidence/accuracy mean: 0.751881 2021-05-27 01:46:22.777: INFO @log_variables: train age_confidence/loss mean: 0.055460 2021-05-27 01:46:22.777: INFO @log_variables: train age_confidence/accuracy mean: 0.676794 2021-05-27 01:46:22.777: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:46:22.779: INFO @metrics_hook: train age_mae: 10.552 +-0.164 (13824) 2021-05-27 01:46:22.782: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-05-27 01:46:24.901: INFO @decay_lr : LR updated to `4.268736e-05` 2021-05-27 01:46:24.903: INFO @log_profile : T train: 17.878076 2021-05-27 01:46:24.903: INFO @log_profile : T read data: 0.291146 2021-05-27 01:46:24.903: INFO @log_profile : T hooks: 2.761405 2021-05-27 01:46:24.903: INFO @main_loop : Epoch 389 done 2021-05-27 01:46:24.903: INFO @main_loop : Training epoch 390 2021-05-27 01:46:44.314: INFO @log_variables: train loss nanmean: 1.172905 2021-05-27 01:46:44.314: INFO @log_variables: train age_loss mean: 0.941763 2021-05-27 01:46:44.314: INFO @log_variables: train gender_loss mean: 0.344982 2021-05-27 01:46:44.314: INFO @log_variables: train age_mae mean: 10.590947 2021-05-27 01:46:44.314: INFO @log_variables: train gender_accuracy mean: 0.846426 2021-05-27 01:46:44.314: INFO @log_variables: train artificial_age_loss mean: 0.207108 2021-05-27 01:46:44.315: INFO @log_variables: train gender_confidence/loss nanmean: 0.069801 2021-05-27 01:46:44.315: INFO @log_variables: train gender_confidence/accuracy mean: 0.757161 2021-05-27 01:46:44.315: INFO @log_variables: train age_confidence/loss mean: 0.055341 2021-05-27 01:46:44.315: INFO @log_variables: train age_confidence/accuracy mean: 0.679977 2021-05-27 01:46:44.315: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:46:44.317: INFO @metrics_hook: train age_mae: 10.591 +-0.166 (13824) 2021-05-27 01:46:44.318: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13824) 2021-05-27 01:46:46.361: INFO @decay_lr : LR updated to `4.2473923e-05` 2021-05-27 01:46:46.363: INFO @log_profile : T train: 18.421093 2021-05-27 01:46:46.363: INFO @log_profile : T read data: 0.289730 2021-05-27 01:46:46.363: INFO @log_profile : T hooks: 2.696482 2021-05-27 01:46:46.363: INFO @main_loop : Epoch 390 done 2021-05-27 01:46:46.363: INFO @main_loop : Training epoch 391 2021-05-27 01:47:05.293: INFO @log_variables: train loss nanmean: 1.163468 2021-05-27 01:47:05.293: INFO @log_variables: train age_loss mean: 0.932728 2021-05-27 01:47:05.293: INFO @log_variables: train gender_loss mean: 0.345184 2021-05-27 01:47:05.293: INFO @log_variables: train age_mae mean: 10.502071 2021-05-27 01:47:05.294: INFO @log_variables: train gender_accuracy mean: 0.846037 2021-05-27 01:47:05.294: INFO @log_variables: train artificial_age_loss mean: 0.207511 2021-05-27 01:47:05.294: INFO @log_variables: train gender_confidence/loss nanmean: 0.070548 2021-05-27 01:47:05.294: INFO @log_variables: train gender_confidence/accuracy mean: 0.756195 2021-05-27 01:47:05.294: INFO @log_variables: train age_confidence/loss mean: 0.055698 2021-05-27 01:47:05.294: INFO @log_variables: train age_confidence/accuracy mean: 0.680771 2021-05-27 01:47:05.294: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:47:05.296: INFO @metrics_hook: train age_mae: 10.502 +-0.163 (13802) 2021-05-27 01:47:05.298: INFO @metrics_hook: train gender_accuracy: 0.846 +-0.006 (13802) 2021-05-27 01:47:07.371: INFO @decay_lr : LR updated to `4.2261552e-05` 2021-05-27 01:47:07.372: INFO @log_profile : T train: 17.822699 2021-05-27 01:47:07.372: INFO @log_profile : T read data: 0.430645 2021-05-27 01:47:07.372: INFO @log_profile : T hooks: 2.703550 2021-05-27 01:47:07.372: INFO @main_loop : Epoch 391 done 2021-05-27 01:47:07.372: INFO @main_loop : Training epoch 392 2021-05-27 01:47:26.697: INFO @log_variables: train loss nanmean: 1.173153 2021-05-27 01:47:26.697: INFO @log_variables: train age_loss mean: 0.929935 2021-05-27 01:47:26.697: INFO @log_variables: train gender_loss mean: 0.358499 2021-05-27 01:47:26.698: INFO @log_variables: train age_mae mean: 10.472144 2021-05-27 01:47:26.698: INFO @log_variables: train gender_accuracy mean: 0.841146 2021-05-27 01:47:26.698: INFO @log_variables: train artificial_age_loss mean: 0.204988 2021-05-27 01:47:26.698: INFO @log_variables: train gender_confidence/loss nanmean: 0.071902 2021-05-27 01:47:26.698: INFO @log_variables: train gender_confidence/accuracy mean: 0.746600 2021-05-27 01:47:26.698: INFO @log_variables: train age_confidence/loss mean: 0.055688 2021-05-27 01:47:26.698: INFO @log_variables: train age_confidence/accuracy mean: 0.675203 2021-05-27 01:47:26.698: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:47:26.700: INFO @metrics_hook: train age_mae: 10.472 +-0.164 (13824) 2021-05-27 01:47:26.702: INFO @metrics_hook: train gender_accuracy: 0.841 +-0.006 (13824) 2021-05-27 01:47:28.780: INFO @decay_lr : LR updated to `4.2050244e-05` 2021-05-27 01:47:28.782: INFO @log_profile : T train: 18.318555 2021-05-27 01:47:28.782: INFO @log_profile : T read data: 0.285545 2021-05-27 01:47:28.782: INFO @log_profile : T hooks: 2.752890 2021-05-27 01:47:28.782: INFO @main_loop : Epoch 392 done 2021-05-27 01:47:28.783: INFO @main_loop : Training epoch 393 2021-05-27 01:47:47.711: INFO @log_variables: train loss nanmean: 1.159637 2021-05-27 01:47:47.711: INFO @log_variables: train age_loss mean: 0.929326 2021-05-27 01:47:47.711: INFO @log_variables: train gender_loss mean: 0.353685 2021-05-27 01:47:47.711: INFO @log_variables: train age_mae mean: 10.494967 2021-05-27 01:47:47.712: INFO @log_variables: train gender_accuracy mean: 0.842737 2021-05-27 01:47:47.712: INFO @log_variables: train artificial_age_loss mean: 0.205791 2021-05-27 01:47:47.712: INFO @log_variables: train gender_confidence/loss nanmean: 0.071069 2021-05-27 01:47:47.712: INFO @log_variables: train gender_confidence/accuracy mean: 0.752243 2021-05-27 01:47:47.712: INFO @log_variables: train age_confidence/loss mean: 0.055711 2021-05-27 01:47:47.712: INFO @log_variables: train age_confidence/accuracy mean: 0.676071 2021-05-27 01:47:47.712: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:47:47.714: INFO @metrics_hook: train age_mae: 10.495 +-0.165 (13824) 2021-05-27 01:47:47.717: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:47:49.755: INFO @decay_lr : LR updated to `4.1839994e-05` 2021-05-27 01:47:49.756: INFO @log_profile : T train: 17.933499 2021-05-27 01:47:49.756: INFO @log_profile : T read data: 0.299217 2021-05-27 01:47:49.756: INFO @log_profile : T hooks: 2.687267 2021-05-27 01:47:49.756: INFO @main_loop : Epoch 393 done 2021-05-27 01:47:49.757: INFO @main_loop : Training epoch 394 2021-05-27 01:48:09.001: INFO @log_variables: train loss nanmean: 1.171115 2021-05-27 01:48:09.001: INFO @log_variables: train age_loss mean: 0.936299 2021-05-27 01:48:09.001: INFO @log_variables: train gender_loss mean: 0.351050 2021-05-27 01:48:09.001: INFO @log_variables: train age_mae mean: 10.544677 2021-05-27 01:48:09.001: INFO @log_variables: train gender_accuracy mean: 0.843244 2021-05-27 01:48:09.001: INFO @log_variables: train artificial_age_loss mean: 0.207298 2021-05-27 01:48:09.001: INFO @log_variables: train gender_confidence/loss nanmean: 0.071427 2021-05-27 01:48:09.001: INFO @log_variables: train gender_confidence/accuracy mean: 0.751374 2021-05-27 01:48:09.001: INFO @log_variables: train age_confidence/loss mean: 0.055932 2021-05-27 01:48:09.001: INFO @log_variables: train age_confidence/accuracy mean: 0.673177 2021-05-27 01:48:09.002: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:48:09.003: INFO @metrics_hook: train age_mae: 10.545 +-0.165 (13824) 2021-05-27 01:48:09.005: INFO @metrics_hook: train gender_accuracy: 0.843 +-0.006 (13824) 2021-05-27 01:48:11.010: INFO @decay_lr : LR updated to `4.1630796e-05` 2021-05-27 01:48:11.011: INFO @log_profile : T train: 18.251155 2021-05-27 01:48:11.011: INFO @log_profile : T read data: 0.275939 2021-05-27 01:48:11.011: INFO @log_profile : T hooks: 2.675712 2021-05-27 01:48:11.011: INFO @main_loop : Epoch 394 done 2021-05-27 01:48:11.011: INFO @main_loop : Training epoch 395 2021-05-27 01:48:30.122: INFO @log_variables: train loss nanmean: 1.159089 2021-05-27 01:48:30.123: INFO @log_variables: train age_loss mean: 0.931226 2021-05-27 01:48:30.123: INFO @log_variables: train gender_loss mean: 0.346484 2021-05-27 01:48:30.123: INFO @log_variables: train age_mae mean: 10.497274 2021-05-27 01:48:30.123: INFO @log_variables: train gender_accuracy mean: 0.847993 2021-05-27 01:48:30.123: INFO @log_variables: train artificial_age_loss mean: 0.205315 2021-05-27 01:48:30.123: INFO @log_variables: train gender_confidence/loss nanmean: 0.071457 2021-05-27 01:48:30.123: INFO @log_variables: train gender_confidence/accuracy mean: 0.750109 2021-05-27 01:48:30.123: INFO @log_variables: train age_confidence/loss mean: 0.055525 2021-05-27 01:48:30.123: INFO @log_variables: train age_confidence/accuracy mean: 0.681858 2021-05-27 01:48:30.123: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:48:30.125: INFO @metrics_hook: train age_mae: 10.497 +-0.165 (13802) 2021-05-27 01:48:30.127: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13802) 2021-05-27 01:48:32.048: INFO @decay_lr : LR updated to `4.142264e-05` 2021-05-27 01:48:32.050: INFO @log_profile : T train: 17.965642 2021-05-27 01:48:32.050: INFO @log_profile : T read data: 0.440668 2021-05-27 01:48:32.050: INFO @log_profile : T hooks: 2.581368 2021-05-27 01:48:32.050: INFO @main_loop : Epoch 395 done 2021-05-27 01:48:32.050: INFO @main_loop : Training epoch 396 2021-05-27 01:48:50.858: INFO @log_variables: train loss nanmean: 1.163007 2021-05-27 01:48:50.858: INFO @log_variables: train age_loss mean: 0.923241 2021-05-27 01:48:50.858: INFO @log_variables: train gender_loss mean: 0.349858 2021-05-27 01:48:50.858: INFO @log_variables: train age_mae mean: 10.430537 2021-05-27 01:48:50.858: INFO @log_variables: train gender_accuracy mean: 0.843895 2021-05-27 01:48:50.858: INFO @log_variables: train artificial_age_loss mean: 0.207892 2021-05-27 01:48:50.858: INFO @log_variables: train gender_confidence/loss nanmean: 0.070640 2021-05-27 01:48:50.858: INFO @log_variables: train gender_confidence/accuracy mean: 0.754268 2021-05-27 01:48:50.858: INFO @log_variables: train age_confidence/loss mean: 0.055620 2021-05-27 01:48:50.858: INFO @log_variables: train age_confidence/accuracy mean: 0.681641 2021-05-27 01:48:50.858: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:48:50.860: INFO @metrics_hook: train age_mae: 10.431 +-0.162 (13824) 2021-05-27 01:48:50.861: INFO @metrics_hook: train gender_accuracy: 0.844 +-0.006 (13824) 2021-05-27 01:48:52.862: INFO @decay_lr : LR updated to `4.1215528e-05` 2021-05-27 01:48:52.863: INFO @log_profile : T train: 17.850853 2021-05-27 01:48:52.863: INFO @log_profile : T read data: 0.274694 2021-05-27 01:48:52.863: INFO @log_profile : T hooks: 2.635738 2021-05-27 01:48:52.863: INFO @main_loop : Epoch 396 done 2021-05-27 01:48:52.863: INFO @main_loop : Training epoch 397 2021-05-27 01:49:11.822: INFO @log_variables: train loss nanmean: 1.188249 2021-05-27 01:49:11.822: INFO @log_variables: train age_loss mean: 0.942750 2021-05-27 01:49:11.822: INFO @log_variables: train gender_loss mean: 0.354884 2021-05-27 01:49:11.822: INFO @log_variables: train age_mae mean: 10.600347 2021-05-27 01:49:11.822: INFO @log_variables: train gender_accuracy mean: 0.839120 2021-05-27 01:49:11.822: INFO @log_variables: train artificial_age_loss mean: 0.210528 2021-05-27 01:49:11.822: INFO @log_variables: train gender_confidence/loss nanmean: 0.069930 2021-05-27 01:49:11.822: INFO @log_variables: train gender_confidence/accuracy mean: 0.753762 2021-05-27 01:49:11.822: INFO @log_variables: train age_confidence/loss mean: 0.055671 2021-05-27 01:49:11.822: INFO @log_variables: train age_confidence/accuracy mean: 0.678819 2021-05-27 01:49:11.822: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:49:11.823: INFO @metrics_hook: train age_mae: 10.600 +-0.166 (13824) 2021-05-27 01:49:11.825: INFO @metrics_hook: train gender_accuracy: 0.839 +-0.006 (13824) 2021-05-27 01:49:13.744: INFO @decay_lr : LR updated to `4.100945e-05` 2021-05-27 01:49:13.745: INFO @log_profile : T train: 17.981768 2021-05-27 01:49:13.745: INFO @log_profile : T read data: 0.270982 2021-05-27 01:49:13.745: INFO @log_profile : T hooks: 2.578648 2021-05-27 01:49:13.745: INFO @main_loop : Epoch 397 done 2021-05-27 01:49:13.745: INFO @main_loop : Training epoch 398 2021-05-27 01:49:32.524: INFO @log_variables: train loss nanmean: 1.157240 2021-05-27 01:49:32.525: INFO @log_variables: train age_loss mean: 0.920007 2021-05-27 01:49:32.525: INFO @log_variables: train gender_loss mean: 0.349807 2021-05-27 01:49:32.525: INFO @log_variables: train age_mae mean: 10.415177 2021-05-27 01:49:32.525: INFO @log_variables: train gender_accuracy mean: 0.845197 2021-05-27 01:49:32.525: INFO @log_variables: train artificial_age_loss mean: 0.207272 2021-05-27 01:49:32.525: INFO @log_variables: train gender_confidence/loss nanmean: 0.070975 2021-05-27 01:49:32.525: INFO @log_variables: train gender_confidence/accuracy mean: 0.751374 2021-05-27 01:49:32.525: INFO @log_variables: train age_confidence/loss mean: 0.056031 2021-05-27 01:49:32.525: INFO @log_variables: train age_confidence/accuracy mean: 0.676866 2021-05-27 01:49:32.525: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:49:32.527: INFO @metrics_hook: train age_mae: 10.415 +-0.163 (13824) 2021-05-27 01:49:32.529: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13824) 2021-05-27 01:49:34.541: INFO @decay_lr : LR updated to `4.0804403e-05` 2021-05-27 01:49:34.542: INFO @log_profile : T train: 17.809159 2021-05-27 01:49:34.542: INFO @log_profile : T read data: 0.273275 2021-05-27 01:49:34.542: INFO @log_profile : T hooks: 2.663389 2021-05-27 01:49:34.542: INFO @main_loop : Epoch 398 done 2021-05-27 01:49:34.542: INFO @main_loop : Training epoch 399 2021-05-27 01:49:53.624: INFO @log_variables: train loss nanmean: 1.178985 2021-05-27 01:49:53.624: INFO @log_variables: train age_loss mean: 0.932202 2021-05-27 01:49:53.625: INFO @log_variables: train gender_loss mean: 0.342429 2021-05-27 01:49:53.625: INFO @log_variables: train age_mae mean: 10.506266 2021-05-27 01:49:53.625: INFO @log_variables: train gender_accuracy mean: 0.848428 2021-05-27 01:49:53.625: INFO @log_variables: train artificial_age_loss mean: 0.208327 2021-05-27 01:49:53.625: INFO @log_variables: train gender_confidence/loss nanmean: 0.070707 2021-05-27 01:49:53.625: INFO @log_variables: train gender_confidence/accuracy mean: 0.754239 2021-05-27 01:49:53.625: INFO @log_variables: train age_confidence/loss mean: 0.055697 2021-05-27 01:49:53.625: INFO @log_variables: train age_confidence/accuracy mean: 0.677655 2021-05-27 01:49:53.625: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:49:53.627: INFO @metrics_hook: train age_mae: 10.506 +-0.163 (13802) 2021-05-27 01:49:53.629: INFO @metrics_hook: train gender_accuracy: 0.848 +-0.006 (13802) 2021-05-27 01:49:55.688: INFO @decay_lr : LR updated to `4.0600382e-05` 2021-05-27 01:49:55.689: INFO @log_profile : T train: 17.942503 2021-05-27 01:49:55.689: INFO @log_profile : T read data: 0.424762 2021-05-27 01:49:55.689: INFO @log_profile : T hooks: 2.729441 2021-05-27 01:49:55.689: INFO @main_loop : Epoch 399 done 2021-05-27 01:49:55.689: INFO @main_loop : Training epoch 400 2021-05-27 01:50:14.533: INFO @log_variables: train loss nanmean: 1.183119 2021-05-27 01:50:14.533: INFO @log_variables: train age_loss mean: 0.924957 2021-05-27 01:50:14.533: INFO @log_variables: train gender_loss mean: 0.345495 2021-05-27 01:50:14.533: INFO @log_variables: train age_mae mean: 10.444926 2021-05-27 01:50:14.534: INFO @log_variables: train gender_accuracy mean: 0.844969 2021-05-27 01:50:14.534: INFO @log_variables: train artificial_age_loss mean: 0.209377 2021-05-27 01:50:14.534: INFO @log_variables: train gender_confidence/loss nanmean: 0.069890 2021-05-27 01:50:14.534: INFO @log_variables: train gender_confidence/accuracy mean: 0.755986 2021-05-27 01:50:14.534: INFO @log_variables: train age_confidence/loss mean: 0.055372 2021-05-27 01:50:14.534: INFO @log_variables: train age_confidence/accuracy mean: 0.677856 2021-05-27 01:50:14.534: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE 2021-05-27 01:50:14.537: INFO @metrics_hook: train age_mae: 10.445 +-0.162 (13823) 2021-05-27 01:50:14.539: INFO @metrics_hook: train gender_accuracy: 0.845 +-0.006 (13823) 2021-05-27 01:50:16.582: INFO @decay_lr : LR updated to `4.039738e-05` 2021-05-27 01:50:16.851: INFO @save : Model saved to: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE/model_400.ckpt 2021-05-27 01:50:16.852: INFO @stop_after : EpochStopperHook triggered 2021-05-27 01:50:16.853: INFO @log_profile : T train: 17.865886 2021-05-27 01:50:16.853: INFO @log_profile : T read data: 0.278814 2021-05-27 01:50:16.853: INFO @log_profile : T hooks: 2.967138 2021-05-27 01:50:16.853: INFO @main_loop : Training terminated: Training terminated after epoch 400 2021-05-27 01:50:16.853: INFO @log_dir : Output dir: log-nightly/gender-age/2021-05-26-nightly-gender-age-b53d4c7e-qJZE