2019-11-18 13:42:45.999: INFO @api : Creating dataset 2019-11-18 13:42:49.623: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/utils/profiler.py:12: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead. 2019-11-18 13:42:51.644: INFO @api : EmotionDataset created 2019-11-18 13:42:51.644: INFO @api : Creating a model 2019-11-18 13:42:51.666: INFO @model : Creating TF model on 1 GPU devices 2019-11-18 13:42:51.667: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:415: The name tf.ConfigProto is deprecated. Please use tf.compat.v1.ConfigProto instead. 2019-11-18 13:42:55.131: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:140: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead. 2019-11-18 13:42:55.132: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:140: The name tf.get_variable_scope is deprecated. Please use tf.compat.v1.get_variable_scope instead. 2019-11-18 13:42:55.132: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:140: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead. 2019-11-18 13:42:55.137: INFO @emotion : Building BasicModel for 6 classes 2019-11-18 13:42:55.331: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.407: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.492: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.541: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.623: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.704: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.800: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.867: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:55.942: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.032: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.119: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.169: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.245: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.321: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.419: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.480: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.581: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.588: WARNING @deprecation : From /home/ala/faces/models/emotion.py:54: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead. 2019-11-18 13:42:56.601: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AttributeError: module 'gast' has no attribute 'Num' 2019-11-18 13:42:56.608: WARNING @deprecation : From /home/ala/faces/models/emotion.py:55: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dense instead. 2019-11-18 13:42:56.609: WARNING @deprecation : From /usr/lib/python3.7/site-packages/tensorflow/python/ops/init_ops.py:1251: calling VarianceScaling.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor 2019-11-18 13:42:56.715: WARNING @ag_logging : Entity > could not be transformed and will be executed as-is. Please report this to the AutgoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: converting >: AssertionError: Bad argument number for Name: 3, expecting 4 2019-11-18 13:42:56.720: INFO @emotion : (?, 6) 2019-11-18 13:42:56.721: INFO @emotion : (?,) 2019-11-18 13:42:57.159: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:180: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead. 2019-11-18 13:42:57.579: INFO @model : Number of parameters: 569862 2019-11-18 13:42:57.579: INFO @api : BasicModel created 2019-11-18 13:42:57.580: INFO @api : Creating hooks 2019-11-18 13:42:57.590: WARNING @abstract_hook: Argument `streams` was not recognized by `ClassificationMetrics`. Recognized arguments are `['predicted_variable', 'gt_variable', 'f1_average', 'var_prefix', 'kwargs']`. 2019-11-18 13:42:57.590: INFO @api : ClassificationMetrics created 2019-11-18 13:42:57.591: INFO @api : ComputeStats created 2019-11-18 13:42:57.592: INFO @api : LogVariables created 2019-11-18 13:42:57.593: INFO @api : LogProfile created 2019-11-18 13:42:57.593: INFO @api : LogDir created 2019-11-18 13:42:57.593: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/hooks/write_tensorboard.py:78: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. 2019-11-18 13:42:57.594: INFO @api : WriteTensorBoard created 2019-11-18 13:42:57.595: INFO @api : StopAfter created 2019-11-18 13:42:57.595: INFO @api : ShowProgress created 2019-11-18 13:42:57.596: INFO @api : SaveBest created 2019-11-18 13:42:57.597: INFO @api : SaveEvery created 2019-11-18 13:42:57.600: INFO @api : SaveEmotionsPredictions created 2019-11-18 13:42:57.601: WARNING @abstract_hook: Argument `class_names` was not recognized by `SaveConfusionMatrix`. Recognized arguments are `['output_dir', 'dataset', 'labels_name', 'predictions_name', 'classes_names', 'figsize', 'figure_action', 'num_classes_method_name', 'classes_names_method_name', 'mask_name', 'normalize', 'cmap', 'kwargs']`. 2019-11-18 13:42:57.601: INFO @api : SaveConfusionMatrix created 2019-11-18 13:42:57.601: WARNING @api : TrainingTrace hook added between hooks. Add it to your config.yaml to suppress this warning. 2019-11-18 13:42:57.601: INFO @api : Creating main loop 2019-11-18 13:42:57.602: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:42:57.603: INFO @main_loop : Training epoch 1 2019-11-18 13:42:59.723: 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: ['filenames', 'ids', 'box_points'] 2019-11-18 13:43:22.073: INFO @log_variables: train precision: 0.130390 2019-11-18 13:43:22.074: INFO @log_variables: train recall: 0.174713 2019-11-18 13:43:22.074: INFO @log_variables: train f1: 0.098871 2019-11-18 13:43:22.074: INFO @log_variables: train accuracy mean: 0.274332 2019-11-18 13:43:22.074: INFO @log_variables: train loss mean: 1.690104 2019-11-18 13:43:22.074: INFO @log_variables: valid precision: 0.104796 2019-11-18 13:43:22.074: INFO @log_variables: valid recall: 0.211130 2019-11-18 13:43:22.074: INFO @log_variables: valid f1: 0.140021 2019-11-18 13:43:22.074: INFO @log_variables: valid accuracy mean: 0.316907 2019-11-18 13:43:22.074: INFO @log_variables: valid loss mean: 1.641041 2019-11-18 13:43:22.074: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:43:22.076: WARNING @deprecation_wrapper: From /home/ala/emloop-tensorflow/emloop_tensorflow/model.py:301: The name tf.train.write_graph is deprecated. Please use tf.io.write_graph instead. 2019-11-18 13:43:22.254: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:43:23.868: INFO @log_profile : T train: 18.982558 2019-11-18 13:43:23.868: INFO @log_profile : T valid: 1.012141 2019-11-18 13:43:23.868: INFO @log_profile : T read data: 2.948914 2019-11-18 13:43:23.868: INFO @log_profile : T hooks: 3.204387 2019-11-18 13:43:23.868: INFO @main_loop : Epoch 1 done 2019-11-18 13:43:23.868: INFO @main_loop : Training epoch 2 2019-11-18 13:43:43.619: INFO @log_variables: train precision: 0.322652 2019-11-18 13:43:43.619: INFO @log_variables: train recall: 0.240133 2019-11-18 13:43:43.619: INFO @log_variables: train f1: 0.194406 2019-11-18 13:43:43.619: INFO @log_variables: train accuracy mean: 0.339848 2019-11-18 13:43:43.619: INFO @log_variables: train loss mean: 1.596590 2019-11-18 13:43:43.619: INFO @log_variables: valid precision: 0.335005 2019-11-18 13:43:43.619: INFO @log_variables: valid recall: 0.299988 2019-11-18 13:43:43.619: INFO @log_variables: valid f1: 0.276587 2019-11-18 13:43:43.619: INFO @log_variables: valid accuracy mean: 0.405873 2019-11-18 13:43:43.619: INFO @log_variables: valid loss mean: 1.509109 2019-11-18 13:43:43.619: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:43:43.724: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:43:45.180: INFO @log_profile : T train: 16.622449 2019-11-18 13:43:45.181: INFO @log_profile : T valid: 0.843604 2019-11-18 13:43:45.181: INFO @log_profile : T read data: 0.708937 2019-11-18 13:43:45.181: INFO @log_profile : T hooks: 3.009635 2019-11-18 13:43:45.181: INFO @main_loop : Epoch 2 done 2019-11-18 13:43:45.181: INFO @main_loop : Training epoch 3 2019-11-18 13:44:05.877: INFO @log_variables: train precision: 0.394340 2019-11-18 13:44:05.877: INFO @log_variables: train recall: 0.341904 2019-11-18 13:44:05.877: INFO @log_variables: train f1: 0.332576 2019-11-18 13:44:05.878: INFO @log_variables: train accuracy mean: 0.432313 2019-11-18 13:44:05.878: INFO @log_variables: train loss mean: 1.443064 2019-11-18 13:44:05.878: INFO @log_variables: valid precision: 0.487723 2019-11-18 13:44:05.878: INFO @log_variables: valid recall: 0.369469 2019-11-18 13:44:05.878: INFO @log_variables: valid f1: 0.371947 2019-11-18 13:44:05.878: INFO @log_variables: valid accuracy mean: 0.468964 2019-11-18 13:44:05.878: INFO @log_variables: valid loss mean: 1.362763 2019-11-18 13:44:05.878: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:44:05.985: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:44:07.535: INFO @log_profile : T train: 17.328220 2019-11-18 13:44:07.535: INFO @log_profile : T valid: 0.959764 2019-11-18 13:44:07.535: INFO @log_profile : T read data: 0.780320 2019-11-18 13:44:07.535: INFO @log_profile : T hooks: 3.160454 2019-11-18 13:44:07.535: INFO @main_loop : Epoch 3 done 2019-11-18 13:44:07.535: INFO @main_loop : Training epoch 4 2019-11-18 13:44:29.155: INFO @log_variables: train precision: 0.453704 2019-11-18 13:44:29.156: INFO @log_variables: train recall: 0.410214 2019-11-18 13:44:29.156: INFO @log_variables: train f1: 0.414872 2019-11-18 13:44:29.156: INFO @log_variables: train accuracy mean: 0.481545 2019-11-18 13:44:29.156: INFO @log_variables: train loss mean: 1.320730 2019-11-18 13:44:29.156: INFO @log_variables: valid precision: 0.525705 2019-11-18 13:44:29.156: INFO @log_variables: valid recall: 0.438051 2019-11-18 13:44:29.156: INFO @log_variables: valid f1: 0.442241 2019-11-18 13:44:29.156: INFO @log_variables: valid accuracy mean: 0.515482 2019-11-18 13:44:29.156: INFO @log_variables: valid loss mean: 1.258311 2019-11-18 13:44:29.156: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:44:29.260: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:44:31.038: INFO @log_profile : T train: 18.143044 2019-11-18 13:44:31.038: INFO @log_profile : T valid: 0.955874 2019-11-18 13:44:31.038: INFO @log_profile : T read data: 0.896760 2019-11-18 13:44:31.038: INFO @log_profile : T hooks: 3.383175 2019-11-18 13:44:31.038: INFO @main_loop : Epoch 4 done 2019-11-18 13:44:31.038: INFO @main_loop : Training epoch 5 2019-11-18 13:44:52.374: INFO @log_variables: train precision: 0.493077 2019-11-18 13:44:52.375: INFO @log_variables: train recall: 0.457561 2019-11-18 13:44:52.375: INFO @log_variables: train f1: 0.464562 2019-11-18 13:44:52.375: INFO @log_variables: train accuracy mean: 0.519302 2019-11-18 13:44:52.375: INFO @log_variables: train loss mean: 1.236046 2019-11-18 13:44:52.375: INFO @log_variables: valid precision: 0.482140 2019-11-18 13:44:52.375: INFO @log_variables: valid recall: 0.490749 2019-11-18 13:44:52.375: INFO @log_variables: valid f1: 0.468215 2019-11-18 13:44:52.375: INFO @log_variables: valid accuracy mean: 0.512429 2019-11-18 13:44:52.375: INFO @log_variables: valid loss mean: 1.262283 2019-11-18 13:44:52.375: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:44:52.493: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:44:52.589: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_5.ckpt 2019-11-18 13:44:54.714: INFO @log_profile : T train: 17.880464 2019-11-18 13:44:54.714: INFO @log_profile : T valid: 0.936182 2019-11-18 13:44:54.715: INFO @log_profile : T read data: 0.821421 2019-11-18 13:44:54.715: INFO @log_profile : T hooks: 3.908484 2019-11-18 13:44:54.715: INFO @main_loop : Epoch 5 done 2019-11-18 13:44:54.715: INFO @main_loop : Training epoch 6 2019-11-18 13:45:16.232: INFO @log_variables: train precision: 0.523277 2019-11-18 13:45:16.232: INFO @log_variables: train recall: 0.491586 2019-11-18 13:45:16.233: INFO @log_variables: train f1: 0.499504 2019-11-18 13:45:16.233: INFO @log_variables: train accuracy mean: 0.548214 2019-11-18 13:45:16.233: INFO @log_variables: train loss mean: 1.167259 2019-11-18 13:45:16.233: INFO @log_variables: valid precision: 0.555987 2019-11-18 13:45:16.233: INFO @log_variables: valid recall: 0.506092 2019-11-18 13:45:16.233: INFO @log_variables: valid f1: 0.513780 2019-11-18 13:45:16.233: INFO @log_variables: valid accuracy mean: 0.570432 2019-11-18 13:45:16.233: INFO @log_variables: valid loss mean: 1.110204 2019-11-18 13:45:16.233: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:45:16.352: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:45:20.145: INFO @log_profile : T train: 17.887525 2019-11-18 13:45:20.145: INFO @log_profile : T valid: 0.971987 2019-11-18 13:45:20.145: INFO @log_profile : T read data: 0.966316 2019-11-18 13:45:20.145: INFO @log_profile : T hooks: 5.474806 2019-11-18 13:45:20.145: INFO @main_loop : Epoch 6 done 2019-11-18 13:45:20.145: INFO @main_loop : Training epoch 7 2019-11-18 13:45:40.508: INFO @log_variables: train precision: 0.546653 2019-11-18 13:45:40.509: INFO @log_variables: train recall: 0.516830 2019-11-18 13:45:40.509: INFO @log_variables: train f1: 0.525185 2019-11-18 13:45:40.509: INFO @log_variables: train accuracy mean: 0.573325 2019-11-18 13:45:40.509: INFO @log_variables: train loss mean: 1.115337 2019-11-18 13:45:40.509: INFO @log_variables: valid precision: 0.575911 2019-11-18 13:45:40.509: INFO @log_variables: valid recall: 0.502871 2019-11-18 13:45:40.509: INFO @log_variables: valid f1: 0.507417 2019-11-18 13:45:40.509: INFO @log_variables: valid accuracy mean: 0.572322 2019-11-18 13:45:40.509: INFO @log_variables: valid loss mean: 1.114655 2019-11-18 13:45:40.509: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:45:44.146: INFO @log_profile : T train: 17.156979 2019-11-18 13:45:44.146: INFO @log_profile : T valid: 0.907108 2019-11-18 13:45:44.146: INFO @log_profile : T read data: 0.667292 2019-11-18 13:45:44.146: INFO @log_profile : T hooks: 5.153135 2019-11-18 13:45:44.146: INFO @main_loop : Epoch 7 done 2019-11-18 13:45:44.146: INFO @main_loop : Training epoch 8 2019-11-18 13:46:05.113: INFO @log_variables: train precision: 0.568604 2019-11-18 13:46:05.113: INFO @log_variables: train recall: 0.538817 2019-11-18 13:46:05.113: INFO @log_variables: train f1: 0.548222 2019-11-18 13:46:05.113: INFO @log_variables: train accuracy mean: 0.591447 2019-11-18 13:46:05.113: INFO @log_variables: train loss mean: 1.069993 2019-11-18 13:46:05.113: INFO @log_variables: valid precision: 0.566330 2019-11-18 13:46:05.114: INFO @log_variables: valid recall: 0.569303 2019-11-18 13:46:05.114: INFO @log_variables: valid f1: 0.548371 2019-11-18 13:46:05.114: INFO @log_variables: valid accuracy mean: 0.600233 2019-11-18 13:46:05.114: INFO @log_variables: valid loss mean: 1.067643 2019-11-18 13:46:05.114: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:46:05.214: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:46:07.023: INFO @log_profile : T train: 17.461515 2019-11-18 13:46:07.023: INFO @log_profile : T valid: 0.931607 2019-11-18 13:46:07.024: INFO @log_profile : T read data: 0.861892 2019-11-18 13:46:07.024: INFO @log_profile : T hooks: 3.498530 2019-11-18 13:46:07.024: INFO @main_loop : Epoch 8 done 2019-11-18 13:46:07.024: INFO @main_loop : Training epoch 9 2019-11-18 13:46:28.030: INFO @log_variables: train precision: 0.581903 2019-11-18 13:46:28.030: INFO @log_variables: train recall: 0.555020 2019-11-18 13:46:28.030: INFO @log_variables: train f1: 0.563985 2019-11-18 13:46:28.030: INFO @log_variables: train accuracy mean: 0.606975 2019-11-18 13:46:28.030: INFO @log_variables: train loss mean: 1.027111 2019-11-18 13:46:28.030: INFO @log_variables: valid precision: 0.591829 2019-11-18 13:46:28.030: INFO @log_variables: valid recall: 0.569859 2019-11-18 13:46:28.031: INFO @log_variables: valid f1: 0.575149 2019-11-18 13:46:28.031: INFO @log_variables: valid accuracy mean: 0.614333 2019-11-18 13:46:28.031: INFO @log_variables: valid loss mean: 0.995214 2019-11-18 13:46:28.031: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:46:28.149: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:46:30.934: INFO @log_profile : T train: 17.604742 2019-11-18 13:46:30.934: INFO @log_profile : T valid: 0.930314 2019-11-18 13:46:30.934: INFO @log_profile : T read data: 0.751747 2019-11-18 13:46:30.934: INFO @log_profile : T hooks: 4.497267 2019-11-18 13:46:30.934: INFO @main_loop : Epoch 9 done 2019-11-18 13:46:30.934: INFO @main_loop : Training epoch 10 2019-11-18 13:46:51.855: INFO @log_variables: train precision: 0.599346 2019-11-18 13:46:51.856: INFO @log_variables: train recall: 0.570006 2019-11-18 13:46:51.856: INFO @log_variables: train f1: 0.580183 2019-11-18 13:46:51.856: INFO @log_variables: train accuracy mean: 0.621566 2019-11-18 13:46:51.856: INFO @log_variables: train loss mean: 0.989548 2019-11-18 13:46:51.856: INFO @log_variables: valid precision: 0.630968 2019-11-18 13:46:51.856: INFO @log_variables: valid recall: 0.583321 2019-11-18 13:46:51.856: INFO @log_variables: valid f1: 0.597486 2019-11-18 13:46:51.856: INFO @log_variables: valid accuracy mean: 0.623928 2019-11-18 13:46:51.856: INFO @log_variables: valid loss mean: 0.992498 2019-11-18 13:46:51.856: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:46:51.958: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:46:52.042: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_10.ckpt 2019-11-18 13:46:54.088: INFO @log_profile : T train: 17.648740 2019-11-18 13:46:54.088: INFO @log_profile : T valid: 0.914809 2019-11-18 13:46:54.088: INFO @log_profile : T read data: 0.700313 2019-11-18 13:46:54.089: INFO @log_profile : T hooks: 3.766322 2019-11-18 13:46:54.089: INFO @main_loop : Epoch 10 done 2019-11-18 13:46:54.089: INFO @main_loop : Training epoch 11 2019-11-18 13:47:14.995: INFO @log_variables: train precision: 0.618338 2019-11-18 13:47:14.995: INFO @log_variables: train recall: 0.589915 2019-11-18 13:47:14.995: INFO @log_variables: train f1: 0.600242 2019-11-18 13:47:14.995: INFO @log_variables: train accuracy mean: 0.637743 2019-11-18 13:47:14.995: INFO @log_variables: train loss mean: 0.952100 2019-11-18 13:47:14.995: INFO @log_variables: valid precision: 0.624696 2019-11-18 13:47:14.995: INFO @log_variables: valid recall: 0.608455 2019-11-18 13:47:14.995: INFO @log_variables: valid f1: 0.613726 2019-11-18 13:47:14.995: INFO @log_variables: valid accuracy mean: 0.649949 2019-11-18 13:47:14.995: INFO @log_variables: valid loss mean: 0.910756 2019-11-18 13:47:14.995: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:47:15.094: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:47:17.761: INFO @log_profile : T train: 17.385547 2019-11-18 13:47:17.761: INFO @log_profile : T valid: 0.929000 2019-11-18 13:47:17.761: INFO @log_profile : T read data: 0.819086 2019-11-18 13:47:17.761: INFO @log_profile : T hooks: 4.417284 2019-11-18 13:47:17.761: INFO @main_loop : Epoch 11 done 2019-11-18 13:47:17.761: INFO @main_loop : Training epoch 12 2019-11-18 13:47:39.055: INFO @log_variables: train precision: 0.630085 2019-11-18 13:47:39.055: INFO @log_variables: train recall: 0.603662 2019-11-18 13:47:39.055: INFO @log_variables: train f1: 0.613485 2019-11-18 13:47:39.055: INFO @log_variables: train accuracy mean: 0.650604 2019-11-18 13:47:39.055: INFO @log_variables: train loss mean: 0.919157 2019-11-18 13:47:39.055: INFO @log_variables: valid precision: 0.653116 2019-11-18 13:47:39.056: INFO @log_variables: valid recall: 0.604855 2019-11-18 13:47:39.056: INFO @log_variables: valid f1: 0.615224 2019-11-18 13:47:39.056: INFO @log_variables: valid accuracy mean: 0.656491 2019-11-18 13:47:39.056: INFO @log_variables: valid loss mean: 0.919430 2019-11-18 13:47:39.056: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:47:39.157: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:47:41.874: INFO @log_profile : T train: 17.666653 2019-11-18 13:47:41.875: INFO @log_profile : T valid: 0.921042 2019-11-18 13:47:41.875: INFO @log_profile : T read data: 0.823749 2019-11-18 13:47:41.875: INFO @log_profile : T hooks: 4.579415 2019-11-18 13:47:41.875: INFO @main_loop : Epoch 12 done 2019-11-18 13:47:41.875: INFO @main_loop : Training epoch 13 2019-11-18 13:48:02.745: INFO @log_variables: train precision: 0.645747 2019-11-18 13:48:02.746: INFO @log_variables: train recall: 0.618785 2019-11-18 13:48:02.746: INFO @log_variables: train f1: 0.629174 2019-11-18 13:48:02.746: INFO @log_variables: train accuracy mean: 0.664619 2019-11-18 13:48:02.746: INFO @log_variables: train loss mean: 0.888817 2019-11-18 13:48:02.746: INFO @log_variables: valid precision: 0.687717 2019-11-18 13:48:02.746: INFO @log_variables: valid recall: 0.623884 2019-11-18 13:48:02.746: INFO @log_variables: valid f1: 0.641502 2019-11-18 13:48:02.746: INFO @log_variables: valid accuracy mean: 0.680913 2019-11-18 13:48:02.746: INFO @log_variables: valid loss mean: 0.864455 2019-11-18 13:48:02.746: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:48:02.852: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:48:04.527: INFO @log_profile : T train: 17.589964 2019-11-18 13:48:04.527: INFO @log_profile : T valid: 0.915673 2019-11-18 13:48:04.527: INFO @log_profile : T read data: 0.711029 2019-11-18 13:48:04.527: INFO @log_profile : T hooks: 3.312349 2019-11-18 13:48:04.527: INFO @main_loop : Epoch 13 done 2019-11-18 13:48:04.527: INFO @main_loop : Training epoch 14 2019-11-18 13:48:25.605: INFO @log_variables: train precision: 0.652537 2019-11-18 13:48:25.605: INFO @log_variables: train recall: 0.627035 2019-11-18 13:48:25.605: INFO @log_variables: train f1: 0.636864 2019-11-18 13:48:25.605: INFO @log_variables: train accuracy mean: 0.670942 2019-11-18 13:48:25.605: INFO @log_variables: train loss mean: 0.865468 2019-11-18 13:48:25.605: INFO @log_variables: valid precision: 0.659523 2019-11-18 13:48:25.605: INFO @log_variables: valid recall: 0.624898 2019-11-18 13:48:25.606: INFO @log_variables: valid f1: 0.634844 2019-11-18 13:48:25.606: INFO @log_variables: valid accuracy mean: 0.661288 2019-11-18 13:48:25.606: INFO @log_variables: valid loss mean: 0.886866 2019-11-18 13:48:25.606: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:48:27.696: INFO @log_profile : T train: 17.645202 2019-11-18 13:48:27.697: INFO @log_profile : T valid: 0.943340 2019-11-18 13:48:27.697: INFO @log_profile : T read data: 0.769956 2019-11-18 13:48:27.697: INFO @log_profile : T hooks: 3.684865 2019-11-18 13:48:27.697: INFO @main_loop : Epoch 14 done 2019-11-18 13:48:27.697: INFO @main_loop : Training epoch 15 2019-11-18 13:48:48.828: INFO @log_variables: train precision: 0.663425 2019-11-18 13:48:48.828: INFO @log_variables: train recall: 0.638502 2019-11-18 13:48:48.828: INFO @log_variables: train f1: 0.648316 2019-11-18 13:48:48.828: INFO @log_variables: train accuracy mean: 0.680579 2019-11-18 13:48:48.828: INFO @log_variables: train loss mean: 0.840093 2019-11-18 13:48:48.828: INFO @log_variables: valid precision: 0.652321 2019-11-18 13:48:48.828: INFO @log_variables: valid recall: 0.630674 2019-11-18 13:48:48.828: INFO @log_variables: valid f1: 0.636052 2019-11-18 13:48:48.828: INFO @log_variables: valid accuracy mean: 0.675243 2019-11-18 13:48:48.828: INFO @log_variables: valid loss mean: 0.840319 2019-11-18 13:48:48.828: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:48:48.935: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_15.ckpt 2019-11-18 13:48:51.236: INFO @log_profile : T train: 17.507296 2019-11-18 13:48:51.236: INFO @log_profile : T valid: 0.960943 2019-11-18 13:48:51.236: INFO @log_profile : T read data: 0.845043 2019-11-18 13:48:51.236: INFO @log_profile : T hooks: 4.102748 2019-11-18 13:48:51.236: INFO @main_loop : Epoch 15 done 2019-11-18 13:48:51.236: INFO @main_loop : Training epoch 16 2019-11-18 13:49:12.829: INFO @log_variables: train precision: 0.673282 2019-11-18 13:49:12.829: INFO @log_variables: train recall: 0.649786 2019-11-18 13:49:12.829: INFO @log_variables: train f1: 0.659269 2019-11-18 13:49:12.829: INFO @log_variables: train accuracy mean: 0.690685 2019-11-18 13:49:12.829: INFO @log_variables: train loss mean: 0.813245 2019-11-18 13:49:12.829: INFO @log_variables: valid precision: 0.693773 2019-11-18 13:49:12.829: INFO @log_variables: valid recall: 0.626965 2019-11-18 13:49:12.829: INFO @log_variables: valid f1: 0.641087 2019-11-18 13:49:12.829: INFO @log_variables: valid accuracy mean: 0.692543 2019-11-18 13:49:12.829: INFO @log_variables: valid loss mean: 0.816707 2019-11-18 13:49:12.829: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:49:14.522: INFO @log_profile : T train: 17.988088 2019-11-18 13:49:14.522: INFO @log_profile : T valid: 0.875485 2019-11-18 13:49:14.522: INFO @log_profile : T read data: 0.860721 2019-11-18 13:49:14.522: INFO @log_profile : T hooks: 3.431864 2019-11-18 13:49:14.522: INFO @main_loop : Epoch 16 done 2019-11-18 13:49:14.522: INFO @main_loop : Training epoch 17 2019-11-18 13:49:35.063: INFO @log_variables: train precision: 0.686162 2019-11-18 13:49:35.063: INFO @log_variables: train recall: 0.661632 2019-11-18 13:49:35.063: INFO @log_variables: train f1: 0.671540 2019-11-18 13:49:35.063: INFO @log_variables: train accuracy mean: 0.700485 2019-11-18 13:49:35.063: INFO @log_variables: train loss mean: 0.790292 2019-11-18 13:49:35.063: INFO @log_variables: valid precision: 0.673985 2019-11-18 13:49:35.063: INFO @log_variables: valid recall: 0.647427 2019-11-18 13:49:35.063: INFO @log_variables: valid f1: 0.647492 2019-11-18 13:49:35.063: INFO @log_variables: valid accuracy mean: 0.684547 2019-11-18 13:49:35.064: INFO @log_variables: valid loss mean: 0.814336 2019-11-18 13:49:35.064: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:49:35.177: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:49:36.963: INFO @log_profile : T train: 17.390461 2019-11-18 13:49:36.963: INFO @log_profile : T valid: 0.934919 2019-11-18 13:49:36.963: INFO @log_profile : T read data: 0.592900 2019-11-18 13:49:36.963: INFO @log_profile : T hooks: 3.407579 2019-11-18 13:49:36.963: INFO @main_loop : Epoch 17 done 2019-11-18 13:49:36.963: INFO @main_loop : Training epoch 18 2019-11-18 13:49:57.397: INFO @log_variables: train precision: 0.694110 2019-11-18 13:49:57.397: INFO @log_variables: train recall: 0.672542 2019-11-18 13:49:57.397: INFO @log_variables: train f1: 0.681521 2019-11-18 13:49:57.397: INFO @log_variables: train accuracy mean: 0.709365 2019-11-18 13:49:57.397: INFO @log_variables: train loss mean: 0.769828 2019-11-18 13:49:57.398: INFO @log_variables: valid precision: 0.696610 2019-11-18 13:49:57.398: INFO @log_variables: valid recall: 0.638804 2019-11-18 13:49:57.398: INFO @log_variables: valid f1: 0.654073 2019-11-18 13:49:57.398: INFO @log_variables: valid accuracy mean: 0.694578 2019-11-18 13:49:57.398: INFO @log_variables: valid loss mean: 0.789550 2019-11-18 13:49:57.398: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:49:57.517: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:49:59.322: INFO @log_profile : T train: 17.257357 2019-11-18 13:49:59.322: INFO @log_profile : T valid: 0.925444 2019-11-18 13:49:59.322: INFO @log_profile : T read data: 0.681347 2019-11-18 13:49:59.322: INFO @log_profile : T hooks: 3.379637 2019-11-18 13:49:59.322: INFO @main_loop : Epoch 18 done 2019-11-18 13:49:59.322: INFO @main_loop : Training epoch 19 2019-11-18 13:50:20.303: INFO @log_variables: train precision: 0.705030 2019-11-18 13:50:20.303: INFO @log_variables: train recall: 0.684890 2019-11-18 13:50:20.303: INFO @log_variables: train f1: 0.693367 2019-11-18 13:50:20.303: INFO @log_variables: train accuracy mean: 0.719651 2019-11-18 13:50:20.303: INFO @log_variables: train loss mean: 0.743923 2019-11-18 13:50:20.303: INFO @log_variables: valid precision: 0.701043 2019-11-18 13:50:20.303: INFO @log_variables: valid recall: 0.665170 2019-11-18 13:50:20.303: INFO @log_variables: valid f1: 0.679249 2019-11-18 13:50:20.304: INFO @log_variables: valid accuracy mean: 0.706643 2019-11-18 13:50:20.304: INFO @log_variables: valid loss mean: 0.762023 2019-11-18 13:50:20.304: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:50:20.442: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:50:22.573: INFO @log_profile : T train: 17.724636 2019-11-18 13:50:22.574: INFO @log_profile : T valid: 0.868892 2019-11-18 13:50:22.574: INFO @log_profile : T read data: 0.726754 2019-11-18 13:50:22.574: INFO @log_profile : T hooks: 3.810826 2019-11-18 13:50:22.574: INFO @main_loop : Epoch 19 done 2019-11-18 13:50:22.574: INFO @main_loop : Training epoch 20 2019-11-18 13:50:43.647: INFO @log_variables: train precision: 0.709516 2019-11-18 13:50:43.648: INFO @log_variables: train recall: 0.689763 2019-11-18 13:50:43.648: INFO @log_variables: train f1: 0.698173 2019-11-18 13:50:43.648: INFO @log_variables: train accuracy mean: 0.723794 2019-11-18 13:50:43.648: INFO @log_variables: train loss mean: 0.725788 2019-11-18 13:50:43.648: INFO @log_variables: valid precision: 0.710338 2019-11-18 13:50:43.648: INFO @log_variables: valid recall: 0.661384 2019-11-18 13:50:43.648: INFO @log_variables: valid f1: 0.671416 2019-11-18 13:50:43.648: INFO @log_variables: valid accuracy mean: 0.712167 2019-11-18 13:50:43.648: INFO @log_variables: valid loss mean: 0.772080 2019-11-18 13:50:43.648: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:50:43.754: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_20.ckpt 2019-11-18 13:50:46.050: INFO @log_profile : T train: 17.491597 2019-11-18 13:50:46.050: INFO @log_profile : T valid: 0.946659 2019-11-18 13:50:46.050: INFO @log_profile : T read data: 0.710509 2019-11-18 13:50:46.050: INFO @log_profile : T hooks: 4.203477 2019-11-18 13:50:46.050: INFO @main_loop : Epoch 20 done 2019-11-18 13:50:46.050: INFO @main_loop : Training epoch 21 2019-11-18 13:51:07.408: INFO @log_variables: train precision: 0.717161 2019-11-18 13:51:07.408: INFO @log_variables: train recall: 0.698218 2019-11-18 13:51:07.408: INFO @log_variables: train f1: 0.706330 2019-11-18 13:51:07.408: INFO @log_variables: train accuracy mean: 0.731522 2019-11-18 13:51:07.408: INFO @log_variables: train loss mean: 0.708793 2019-11-18 13:51:07.408: INFO @log_variables: valid precision: 0.708034 2019-11-18 13:51:07.409: INFO @log_variables: valid recall: 0.697220 2019-11-18 13:51:07.409: INFO @log_variables: valid f1: 0.692993 2019-11-18 13:51:07.409: INFO @log_variables: valid accuracy mean: 0.721617 2019-11-18 13:51:07.409: INFO @log_variables: valid loss mean: 0.741157 2019-11-18 13:51:07.409: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:51:07.537: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:51:09.719: INFO @log_profile : T train: 17.766703 2019-11-18 13:51:09.719: INFO @log_profile : T valid: 0.926894 2019-11-18 13:51:09.720: INFO @log_profile : T read data: 0.867929 2019-11-18 13:51:09.720: INFO @log_profile : T hooks: 3.983635 2019-11-18 13:51:09.720: INFO @main_loop : Epoch 21 done 2019-11-18 13:51:09.720: INFO @main_loop : Training epoch 22 2019-11-18 13:51:30.354: INFO @log_variables: train precision: 0.728787 2019-11-18 13:51:30.354: INFO @log_variables: train recall: 0.709862 2019-11-18 13:51:30.354: INFO @log_variables: train f1: 0.717878 2019-11-18 13:51:30.354: INFO @log_variables: train accuracy mean: 0.740349 2019-11-18 13:51:30.354: INFO @log_variables: train loss mean: 0.688622 2019-11-18 13:51:30.354: INFO @log_variables: valid precision: 0.723291 2019-11-18 13:51:30.354: INFO @log_variables: valid recall: 0.673923 2019-11-18 13:51:30.354: INFO @log_variables: valid f1: 0.689653 2019-11-18 13:51:30.355: INFO @log_variables: valid accuracy mean: 0.723361 2019-11-18 13:51:30.355: INFO @log_variables: valid loss mean: 0.727811 2019-11-18 13:51:30.355: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:51:32.448: INFO @log_profile : T train: 17.407983 2019-11-18 13:51:32.448: INFO @log_profile : T valid: 0.918250 2019-11-18 13:51:32.448: INFO @log_profile : T read data: 0.689629 2019-11-18 13:51:32.449: INFO @log_profile : T hooks: 3.594958 2019-11-18 13:51:32.449: INFO @main_loop : Epoch 22 done 2019-11-18 13:51:32.449: INFO @main_loop : Training epoch 23 2019-11-18 13:51:53.239: INFO @log_variables: train precision: 0.732929 2019-11-18 13:51:53.240: INFO @log_variables: train recall: 0.714624 2019-11-18 13:51:53.240: INFO @log_variables: train f1: 0.722408 2019-11-18 13:51:53.240: INFO @log_variables: train accuracy mean: 0.744096 2019-11-18 13:51:53.240: INFO @log_variables: train loss mean: 0.675829 2019-11-18 13:51:53.240: INFO @log_variables: valid precision: 0.707649 2019-11-18 13:51:53.240: INFO @log_variables: valid recall: 0.679811 2019-11-18 13:51:53.240: INFO @log_variables: valid f1: 0.689779 2019-11-18 13:51:53.240: INFO @log_variables: valid accuracy mean: 0.712022 2019-11-18 13:51:53.240: INFO @log_variables: valid loss mean: 0.747105 2019-11-18 13:51:53.240: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:51:54.828: INFO @log_profile : T train: 17.540726 2019-11-18 13:51:54.828: INFO @log_profile : T valid: 0.909851 2019-11-18 13:51:54.828: INFO @log_profile : T read data: 0.702181 2019-11-18 13:51:54.828: INFO @log_profile : T hooks: 3.112829 2019-11-18 13:51:54.828: INFO @main_loop : Epoch 23 done 2019-11-18 13:51:54.829: INFO @main_loop : Training epoch 24 2019-11-18 13:52:15.765: INFO @log_variables: train precision: 0.740403 2019-11-18 13:52:15.766: INFO @log_variables: train recall: 0.722644 2019-11-18 13:52:15.766: INFO @log_variables: train f1: 0.730313 2019-11-18 13:52:15.766: INFO @log_variables: train accuracy mean: 0.750851 2019-11-18 13:52:15.766: INFO @log_variables: train loss mean: 0.658766 2019-11-18 13:52:15.766: INFO @log_variables: valid precision: 0.728845 2019-11-18 13:52:15.766: INFO @log_variables: valid recall: 0.675227 2019-11-18 13:52:15.766: INFO @log_variables: valid f1: 0.691327 2019-11-18 13:52:15.766: INFO @log_variables: valid accuracy mean: 0.725687 2019-11-18 13:52:15.766: INFO @log_variables: valid loss mean: 0.714508 2019-11-18 13:52:15.766: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:52:17.593: INFO @log_profile : T train: 17.629815 2019-11-18 13:52:17.593: INFO @log_profile : T valid: 0.926829 2019-11-18 13:52:17.593: INFO @log_profile : T read data: 0.698056 2019-11-18 13:52:17.593: INFO @log_profile : T hooks: 3.394426 2019-11-18 13:52:17.593: INFO @main_loop : Epoch 24 done 2019-11-18 13:52:17.593: INFO @main_loop : Training epoch 25 2019-11-18 13:52:37.905: INFO @log_variables: train precision: 0.746002 2019-11-18 13:52:37.905: INFO @log_variables: train recall: 0.729255 2019-11-18 13:52:37.905: INFO @log_variables: train f1: 0.736425 2019-11-18 13:52:37.905: INFO @log_variables: train accuracy mean: 0.756796 2019-11-18 13:52:37.905: INFO @log_variables: train loss mean: 0.642333 2019-11-18 13:52:37.905: INFO @log_variables: valid precision: 0.727354 2019-11-18 13:52:37.905: INFO @log_variables: valid recall: 0.699293 2019-11-18 13:52:37.905: INFO @log_variables: valid f1: 0.709186 2019-11-18 13:52:37.905: INFO @log_variables: valid accuracy mean: 0.731792 2019-11-18 13:52:37.905: INFO @log_variables: valid loss mean: 0.697107 2019-11-18 13:52:37.905: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:52:38.014: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:52:38.096: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_25.ckpt 2019-11-18 13:52:39.900: INFO @log_profile : T train: 17.123022 2019-11-18 13:52:39.900: INFO @log_profile : T valid: 0.898963 2019-11-18 13:52:39.900: INFO @log_profile : T read data: 0.664112 2019-11-18 13:52:39.900: INFO @log_profile : T hooks: 3.500204 2019-11-18 13:52:39.900: INFO @main_loop : Epoch 25 done 2019-11-18 13:52:39.900: INFO @main_loop : Training epoch 26 2019-11-18 13:53:00.797: INFO @log_variables: train precision: 0.753808 2019-11-18 13:53:00.797: INFO @log_variables: train recall: 0.738089 2019-11-18 13:53:00.797: INFO @log_variables: train f1: 0.744921 2019-11-18 13:53:00.797: INFO @log_variables: train accuracy mean: 0.763983 2019-11-18 13:53:00.797: INFO @log_variables: train loss mean: 0.626133 2019-11-18 13:53:00.797: INFO @log_variables: valid precision: 0.742633 2019-11-18 13:53:00.797: INFO @log_variables: valid recall: 0.689417 2019-11-18 13:53:00.798: INFO @log_variables: valid f1: 0.707860 2019-11-18 13:53:00.798: INFO @log_variables: valid accuracy mean: 0.735717 2019-11-18 13:53:00.798: INFO @log_variables: valid loss mean: 0.695001 2019-11-18 13:53:00.798: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:53:03.571: INFO @log_profile : T train: 17.349306 2019-11-18 13:53:03.571: INFO @log_profile : T valid: 0.903080 2019-11-18 13:53:03.571: INFO @log_profile : T read data: 0.867078 2019-11-18 13:53:03.571: INFO @log_profile : T hooks: 4.427805 2019-11-18 13:53:03.571: INFO @main_loop : Epoch 26 done 2019-11-18 13:53:03.571: INFO @main_loop : Training epoch 27 2019-11-18 13:53:24.530: INFO @log_variables: train precision: 0.759693 2019-11-18 13:53:24.530: INFO @log_variables: train recall: 0.744166 2019-11-18 13:53:24.530: INFO @log_variables: train f1: 0.750969 2019-11-18 13:53:24.530: INFO @log_variables: train accuracy mean: 0.769063 2019-11-18 13:53:24.531: INFO @log_variables: train loss mean: 0.610096 2019-11-18 13:53:24.531: INFO @log_variables: valid precision: 0.751487 2019-11-18 13:53:24.531: INFO @log_variables: valid recall: 0.685901 2019-11-18 13:53:24.531: INFO @log_variables: valid f1: 0.709249 2019-11-18 13:53:24.531: INFO @log_variables: valid accuracy mean: 0.737316 2019-11-18 13:53:24.531: INFO @log_variables: valid loss mean: 0.698916 2019-11-18 13:53:24.531: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:53:24.627: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:53:26.979: INFO @log_profile : T train: 17.155624 2019-11-18 13:53:26.979: INFO @log_profile : T valid: 0.959883 2019-11-18 13:53:26.979: INFO @log_profile : T read data: 0.852629 2019-11-18 13:53:26.979: INFO @log_profile : T hooks: 4.299491 2019-11-18 13:53:26.979: INFO @main_loop : Epoch 27 done 2019-11-18 13:53:26.980: INFO @main_loop : Training epoch 28 2019-11-18 13:53:47.807: INFO @log_variables: train precision: 0.764114 2019-11-18 13:53:47.808: INFO @log_variables: train recall: 0.749369 2019-11-18 13:53:47.808: INFO @log_variables: train f1: 0.755729 2019-11-18 13:53:47.808: INFO @log_variables: train accuracy mean: 0.772522 2019-11-18 13:53:47.808: INFO @log_variables: train loss mean: 0.599206 2019-11-18 13:53:47.808: INFO @log_variables: valid precision: 0.747416 2019-11-18 13:53:47.808: INFO @log_variables: valid recall: 0.689153 2019-11-18 13:53:47.808: INFO @log_variables: valid f1: 0.709909 2019-11-18 13:53:47.808: INFO @log_variables: valid accuracy mean: 0.734118 2019-11-18 13:53:47.808: INFO @log_variables: valid loss mean: 0.715636 2019-11-18 13:53:47.808: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:53:47.908: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:53:50.347: INFO @log_profile : T train: 17.234730 2019-11-18 13:53:50.348: INFO @log_profile : T valid: 0.818407 2019-11-18 13:53:50.348: INFO @log_profile : T read data: 0.732975 2019-11-18 13:53:50.348: INFO @log_profile : T hooks: 4.460178 2019-11-18 13:53:50.348: INFO @main_loop : Epoch 28 done 2019-11-18 13:53:50.348: INFO @main_loop : Training epoch 29 2019-11-18 13:54:11.776: INFO @log_variables: train precision: 0.771493 2019-11-18 13:54:11.776: INFO @log_variables: train recall: 0.756507 2019-11-18 13:54:11.776: INFO @log_variables: train f1: 0.763057 2019-11-18 13:54:11.776: INFO @log_variables: train accuracy mean: 0.778628 2019-11-18 13:54:11.776: INFO @log_variables: train loss mean: 0.582375 2019-11-18 13:54:11.776: INFO @log_variables: valid precision: 0.725757 2019-11-18 13:54:11.776: INFO @log_variables: valid recall: 0.701404 2019-11-18 13:54:11.776: INFO @log_variables: valid f1: 0.709490 2019-11-18 13:54:11.776: INFO @log_variables: valid accuracy mean: 0.734845 2019-11-18 13:54:11.776: INFO @log_variables: valid loss mean: 0.707180 2019-11-18 13:54:11.777: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:54:13.641: INFO @log_profile : T train: 17.684710 2019-11-18 13:54:13.641: INFO @log_profile : T valid: 0.951183 2019-11-18 13:54:13.641: INFO @log_profile : T read data: 1.000704 2019-11-18 13:54:13.642: INFO @log_profile : T hooks: 3.528371 2019-11-18 13:54:13.642: INFO @main_loop : Epoch 29 done 2019-11-18 13:54:13.642: INFO @main_loop : Training epoch 30 2019-11-18 13:54:33.954: INFO @log_variables: train precision: 0.777039 2019-11-18 13:54:33.954: INFO @log_variables: train recall: 0.762248 2019-11-18 13:54:33.954: INFO @log_variables: train f1: 0.768710 2019-11-18 13:54:33.954: INFO @log_variables: train accuracy mean: 0.782952 2019-11-18 13:54:33.954: INFO @log_variables: train loss mean: 0.570332 2019-11-18 13:54:33.954: INFO @log_variables: valid precision: 0.752980 2019-11-18 13:54:33.954: INFO @log_variables: valid recall: 0.705843 2019-11-18 13:54:33.954: INFO @log_variables: valid f1: 0.723749 2019-11-18 13:54:33.954: INFO @log_variables: valid accuracy mean: 0.751853 2019-11-18 13:54:33.954: INFO @log_variables: valid loss mean: 0.669118 2019-11-18 13:54:33.954: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:54:34.053: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:54:34.154: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_30.ckpt 2019-11-18 13:54:35.961: INFO @log_profile : T train: 17.022604 2019-11-18 13:54:35.961: INFO @log_profile : T valid: 0.853065 2019-11-18 13:54:35.961: INFO @log_profile : T read data: 0.802307 2019-11-18 13:54:35.961: INFO @log_profile : T hooks: 3.526261 2019-11-18 13:54:35.961: INFO @main_loop : Epoch 30 done 2019-11-18 13:54:35.961: INFO @main_loop : Training epoch 31 2019-11-18 13:54:56.801: INFO @log_variables: train precision: 0.781683 2019-11-18 13:54:56.801: INFO @log_variables: train recall: 0.768070 2019-11-18 13:54:56.801: INFO @log_variables: train f1: 0.773991 2019-11-18 13:54:56.801: INFO @log_variables: train accuracy mean: 0.789383 2019-11-18 13:54:56.801: INFO @log_variables: train loss mean: 0.561245 2019-11-18 13:54:56.801: INFO @log_variables: valid precision: 0.728732 2019-11-18 13:54:56.801: INFO @log_variables: valid recall: 0.725223 2019-11-18 13:54:56.802: INFO @log_variables: valid f1: 0.724441 2019-11-18 13:54:56.802: INFO @log_variables: valid accuracy mean: 0.752144 2019-11-18 13:54:56.802: INFO @log_variables: valid loss mean: 0.668575 2019-11-18 13:54:56.802: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:54:56.916: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:54:58.814: INFO @log_profile : T train: 17.609781 2019-11-18 13:54:58.814: INFO @log_profile : T valid: 0.922747 2019-11-18 13:54:58.814: INFO @log_profile : T read data: 0.675039 2019-11-18 13:54:58.814: INFO @log_profile : T hooks: 3.523236 2019-11-18 13:54:58.814: INFO @main_loop : Epoch 31 done 2019-11-18 13:54:58.814: INFO @main_loop : Training epoch 32 2019-11-18 13:55:19.600: INFO @log_variables: train precision: 0.787054 2019-11-18 13:55:19.601: INFO @log_variables: train recall: 0.773414 2019-11-18 13:55:19.601: INFO @log_variables: train f1: 0.779396 2019-11-18 13:55:19.601: INFO @log_variables: train accuracy mean: 0.793238 2019-11-18 13:55:19.601: INFO @log_variables: train loss mean: 0.545538 2019-11-18 13:55:19.601: INFO @log_variables: valid precision: 0.743715 2019-11-18 13:55:19.601: INFO @log_variables: valid recall: 0.730520 2019-11-18 13:55:19.601: INFO @log_variables: valid f1: 0.735798 2019-11-18 13:55:19.601: INFO @log_variables: valid accuracy mean: 0.758250 2019-11-18 13:55:19.601: INFO @log_variables: valid loss mean: 0.656378 2019-11-18 13:55:19.601: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:55:19.707: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:55:21.531: INFO @log_profile : T train: 17.548713 2019-11-18 13:55:21.531: INFO @log_profile : T valid: 0.951326 2019-11-18 13:55:21.531: INFO @log_profile : T read data: 0.696662 2019-11-18 13:55:21.531: INFO @log_profile : T hooks: 3.404122 2019-11-18 13:55:21.532: INFO @main_loop : Epoch 32 done 2019-11-18 13:55:21.532: INFO @main_loop : Training epoch 33 2019-11-18 13:55:42.289: INFO @log_variables: train precision: 0.794523 2019-11-18 13:55:42.290: INFO @log_variables: train recall: 0.780817 2019-11-18 13:55:42.290: INFO @log_variables: train f1: 0.786807 2019-11-18 13:55:42.290: INFO @log_variables: train accuracy mean: 0.799488 2019-11-18 13:55:42.290: INFO @log_variables: train loss mean: 0.533157 2019-11-18 13:55:42.290: INFO @log_variables: valid precision: 0.715060 2019-11-18 13:55:42.290: INFO @log_variables: valid recall: 0.730815 2019-11-18 13:55:42.290: INFO @log_variables: valid f1: 0.718256 2019-11-18 13:55:42.290: INFO @log_variables: valid accuracy mean: 0.736735 2019-11-18 13:55:42.290: INFO @log_variables: valid loss mean: 0.689694 2019-11-18 13:55:42.290: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:55:44.318: INFO @log_profile : T train: 17.491984 2019-11-18 13:55:44.318: INFO @log_profile : T valid: 0.953529 2019-11-18 13:55:44.319: INFO @log_profile : T read data: 0.685465 2019-11-18 13:55:44.319: INFO @log_profile : T hooks: 3.539363 2019-11-18 13:55:44.319: INFO @main_loop : Epoch 33 done 2019-11-18 13:55:44.319: INFO @main_loop : Training epoch 34 2019-11-18 13:56:05.085: INFO @log_variables: train precision: 0.796715 2019-11-18 13:56:05.085: INFO @log_variables: train recall: 0.782220 2019-11-18 13:56:05.085: INFO @log_variables: train f1: 0.788533 2019-11-18 13:56:05.086: INFO @log_variables: train accuracy mean: 0.801470 2019-11-18 13:56:05.086: INFO @log_variables: train loss mean: 0.529050 2019-11-18 13:56:05.086: INFO @log_variables: valid precision: 0.771530 2019-11-18 13:56:05.086: INFO @log_variables: valid recall: 0.712017 2019-11-18 13:56:05.086: INFO @log_variables: valid f1: 0.733615 2019-11-18 13:56:05.086: INFO @log_variables: valid accuracy mean: 0.757959 2019-11-18 13:56:05.086: INFO @log_variables: valid loss mean: 0.672690 2019-11-18 13:56:05.086: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:56:07.291: INFO @log_profile : T train: 17.612592 2019-11-18 13:56:07.291: INFO @log_profile : T valid: 0.937915 2019-11-18 13:56:07.291: INFO @log_profile : T read data: 0.664096 2019-11-18 13:56:07.291: INFO @log_profile : T hooks: 3.644773 2019-11-18 13:56:07.291: INFO @main_loop : Epoch 34 done 2019-11-18 13:56:07.291: INFO @main_loop : Training epoch 35 2019-11-18 13:56:28.056: INFO @log_variables: train precision: 0.802124 2019-11-18 13:56:28.056: INFO @log_variables: train recall: 0.790663 2019-11-18 13:56:28.056: INFO @log_variables: train f1: 0.795647 2019-11-18 13:56:28.056: INFO @log_variables: train accuracy mean: 0.808369 2019-11-18 13:56:28.056: INFO @log_variables: train loss mean: 0.511204 2019-11-18 13:56:28.056: INFO @log_variables: valid precision: 0.733193 2019-11-18 13:56:28.056: INFO @log_variables: valid recall: 0.731386 2019-11-18 13:56:28.056: INFO @log_variables: valid f1: 0.731011 2019-11-18 13:56:28.056: INFO @log_variables: valid accuracy mean: 0.753307 2019-11-18 13:56:28.056: INFO @log_variables: valid loss mean: 0.665346 2019-11-18 13:56:28.056: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:56:28.312: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_35.ckpt 2019-11-18 13:56:30.570: INFO @log_profile : T train: 17.550341 2019-11-18 13:56:30.570: INFO @log_profile : T valid: 0.916960 2019-11-18 13:56:30.570: INFO @log_profile : T read data: 0.687353 2019-11-18 13:56:30.570: INFO @log_profile : T hooks: 4.008854 2019-11-18 13:56:30.570: INFO @main_loop : Epoch 35 done 2019-11-18 13:56:30.570: INFO @main_loop : Training epoch 36 2019-11-18 13:56:51.265: INFO @log_variables: train precision: 0.808302 2019-11-18 13:56:51.266: INFO @log_variables: train recall: 0.796153 2019-11-18 13:56:51.266: INFO @log_variables: train f1: 0.801363 2019-11-18 13:56:51.266: INFO @log_variables: train accuracy mean: 0.813665 2019-11-18 13:56:51.266: INFO @log_variables: train loss mean: 0.501035 2019-11-18 13:56:51.266: INFO @log_variables: valid precision: 0.762349 2019-11-18 13:56:51.266: INFO @log_variables: valid recall: 0.714994 2019-11-18 13:56:51.266: INFO @log_variables: valid f1: 0.730362 2019-11-18 13:56:51.266: INFO @log_variables: valid accuracy mean: 0.754615 2019-11-18 13:56:51.266: INFO @log_variables: valid loss mean: 0.715879 2019-11-18 13:56:51.266: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:56:53.753: INFO @log_profile : T train: 17.464096 2019-11-18 13:56:53.753: INFO @log_profile : T valid: 0.912937 2019-11-18 13:56:53.753: INFO @log_profile : T read data: 0.646162 2019-11-18 13:56:53.753: INFO @log_profile : T hooks: 4.038158 2019-11-18 13:56:53.753: INFO @main_loop : Epoch 36 done 2019-11-18 13:56:53.754: INFO @main_loop : Training epoch 37 2019-11-18 13:57:14.442: INFO @log_variables: train precision: 0.812286 2019-11-18 13:57:14.442: INFO @log_variables: train recall: 0.800870 2019-11-18 13:57:14.442: INFO @log_variables: train f1: 0.805878 2019-11-18 13:57:14.442: INFO @log_variables: train accuracy mean: 0.816818 2019-11-18 13:57:14.442: INFO @log_variables: train loss mean: 0.488861 2019-11-18 13:57:14.443: INFO @log_variables: valid precision: 0.752900 2019-11-18 13:57:14.443: INFO @log_variables: valid recall: 0.717254 2019-11-18 13:57:14.443: INFO @log_variables: valid f1: 0.731640 2019-11-18 13:57:14.443: INFO @log_variables: valid accuracy mean: 0.750545 2019-11-18 13:57:14.443: INFO @log_variables: valid loss mean: 0.684330 2019-11-18 13:57:14.443: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:57:16.688: INFO @log_profile : T train: 17.329649 2019-11-18 13:57:16.688: INFO @log_profile : T valid: 0.966026 2019-11-18 13:57:16.688: INFO @log_profile : T read data: 0.635912 2019-11-18 13:57:16.689: INFO @log_profile : T hooks: 3.886334 2019-11-18 13:57:16.689: INFO @main_loop : Epoch 37 done 2019-11-18 13:57:16.689: INFO @main_loop : Training epoch 38 2019-11-18 13:57:38.128: INFO @log_variables: train precision: 0.813045 2019-11-18 13:57:38.128: INFO @log_variables: train recall: 0.801154 2019-11-18 13:57:38.129: INFO @log_variables: train f1: 0.806332 2019-11-18 13:57:38.129: INFO @log_variables: train accuracy mean: 0.817250 2019-11-18 13:57:38.129: INFO @log_variables: train loss mean: 0.483509 2019-11-18 13:57:38.129: INFO @log_variables: valid precision: 0.764307 2019-11-18 13:57:38.129: INFO @log_variables: valid recall: 0.728983 2019-11-18 13:57:38.129: INFO @log_variables: valid f1: 0.740071 2019-11-18 13:57:38.129: INFO @log_variables: valid accuracy mean: 0.766245 2019-11-18 13:57:38.129: INFO @log_variables: valid loss mean: 0.670997 2019-11-18 13:57:38.129: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:57:38.228: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:57:40.651: INFO @log_profile : T train: 17.795026 2019-11-18 13:57:40.651: INFO @log_profile : T valid: 0.941112 2019-11-18 13:57:40.651: INFO @log_profile : T read data: 0.854553 2019-11-18 13:57:40.651: INFO @log_profile : T hooks: 4.242560 2019-11-18 13:57:40.651: INFO @main_loop : Epoch 38 done 2019-11-18 13:57:40.651: INFO @main_loop : Training epoch 39 2019-11-18 13:58:02.313: INFO @log_variables: train precision: 0.816966 2019-11-18 13:58:02.313: INFO @log_variables: train recall: 0.806954 2019-11-18 13:58:02.314: INFO @log_variables: train f1: 0.811325 2019-11-18 13:58:02.314: INFO @log_variables: train accuracy mean: 0.821916 2019-11-18 13:58:02.314: INFO @log_variables: train loss mean: 0.469523 2019-11-18 13:58:02.314: INFO @log_variables: valid precision: 0.770856 2019-11-18 13:58:02.314: INFO @log_variables: valid recall: 0.710553 2019-11-18 13:58:02.314: INFO @log_variables: valid f1: 0.732525 2019-11-18 13:58:02.314: INFO @log_variables: valid accuracy mean: 0.761303 2019-11-18 13:58:02.314: INFO @log_variables: valid loss mean: 0.672811 2019-11-18 13:58:02.314: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:58:04.329: INFO @log_profile : T train: 18.074641 2019-11-18 13:58:04.329: INFO @log_profile : T valid: 0.991088 2019-11-18 13:58:04.329: INFO @log_profile : T read data: 0.753328 2019-11-18 13:58:04.329: INFO @log_profile : T hooks: 3.733956 2019-11-18 13:58:04.329: INFO @main_loop : Epoch 39 done 2019-11-18 13:58:04.329: INFO @main_loop : Training epoch 40 2019-11-18 13:58:25.484: INFO @log_variables: train precision: 0.818607 2019-11-18 13:58:25.484: INFO @log_variables: train recall: 0.808204 2019-11-18 13:58:25.484: INFO @log_variables: train f1: 0.812716 2019-11-18 13:58:25.484: INFO @log_variables: train accuracy mean: 0.823141 2019-11-18 13:58:25.484: INFO @log_variables: train loss mean: 0.464268 2019-11-18 13:58:25.484: INFO @log_variables: valid precision: 0.768442 2019-11-18 13:58:25.484: INFO @log_variables: valid recall: 0.738804 2019-11-18 13:58:25.484: INFO @log_variables: valid f1: 0.749767 2019-11-18 13:58:25.484: INFO @log_variables: valid accuracy mean: 0.772932 2019-11-18 13:58:25.484: INFO @log_variables: valid loss mean: 0.661144 2019-11-18 13:58:25.485: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:58:25.579: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 13:58:25.666: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_40.ckpt 2019-11-18 13:58:28.196: INFO @log_profile : T train: 17.654781 2019-11-18 13:58:28.196: INFO @log_profile : T valid: 0.953447 2019-11-18 13:58:28.196: INFO @log_profile : T read data: 0.770629 2019-11-18 13:58:28.197: INFO @log_profile : T hooks: 4.365014 2019-11-18 13:58:28.197: INFO @main_loop : Epoch 40 done 2019-11-18 13:58:28.197: INFO @main_loop : Training epoch 41 2019-11-18 13:58:49.220: INFO @log_variables: train precision: 0.826700 2019-11-18 13:58:49.220: INFO @log_variables: train recall: 0.816573 2019-11-18 13:58:49.220: INFO @log_variables: train f1: 0.821126 2019-11-18 13:58:49.220: INFO @log_variables: train accuracy mean: 0.829842 2019-11-18 13:58:49.220: INFO @log_variables: train loss mean: 0.452652 2019-11-18 13:58:49.220: INFO @log_variables: valid precision: 0.745095 2019-11-18 13:58:49.220: INFO @log_variables: valid recall: 0.756040 2019-11-18 13:58:49.221: INFO @log_variables: valid f1: 0.745205 2019-11-18 13:58:49.221: INFO @log_variables: valid accuracy mean: 0.770461 2019-11-18 13:58:49.221: INFO @log_variables: valid loss mean: 0.679289 2019-11-18 13:58:49.221: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:58:51.619: INFO @log_profile : T train: 17.699104 2019-11-18 13:58:51.619: INFO @log_profile : T valid: 0.933618 2019-11-18 13:58:51.619: INFO @log_profile : T read data: 0.646615 2019-11-18 13:58:51.619: INFO @log_profile : T hooks: 4.024024 2019-11-18 13:58:51.619: INFO @main_loop : Epoch 41 done 2019-11-18 13:58:51.619: INFO @main_loop : Training epoch 42 2019-11-18 13:59:12.606: INFO @log_variables: train precision: 0.829415 2019-11-18 13:59:12.606: INFO @log_variables: train recall: 0.818891 2019-11-18 13:59:12.606: INFO @log_variables: train f1: 0.823488 2019-11-18 13:59:12.606: INFO @log_variables: train accuracy mean: 0.832418 2019-11-18 13:59:12.606: INFO @log_variables: train loss mean: 0.444495 2019-11-18 13:59:12.606: INFO @log_variables: valid precision: 0.771041 2019-11-18 13:59:12.606: INFO @log_variables: valid recall: 0.729120 2019-11-18 13:59:12.606: INFO @log_variables: valid f1: 0.740067 2019-11-18 13:59:12.607: INFO @log_variables: valid accuracy mean: 0.764646 2019-11-18 13:59:12.607: INFO @log_variables: valid loss mean: 0.720660 2019-11-18 13:59:12.607: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:59:14.976: INFO @log_profile : T train: 17.591737 2019-11-18 13:59:14.976: INFO @log_profile : T valid: 0.965978 2019-11-18 13:59:14.977: INFO @log_profile : T read data: 0.761673 2019-11-18 13:59:14.977: INFO @log_profile : T hooks: 3.919652 2019-11-18 13:59:14.977: INFO @main_loop : Epoch 42 done 2019-11-18 13:59:14.977: INFO @main_loop : Training epoch 43 2019-11-18 13:59:35.855: INFO @log_variables: train precision: 0.831498 2019-11-18 13:59:35.855: INFO @log_variables: train recall: 0.821757 2019-11-18 13:59:35.855: INFO @log_variables: train f1: 0.826058 2019-11-18 13:59:35.856: INFO @log_variables: train accuracy mean: 0.835156 2019-11-18 13:59:35.856: INFO @log_variables: train loss mean: 0.437344 2019-11-18 13:59:35.856: INFO @log_variables: valid precision: 0.777489 2019-11-18 13:59:35.856: INFO @log_variables: valid recall: 0.723029 2019-11-18 13:59:35.856: INFO @log_variables: valid f1: 0.742465 2019-11-18 13:59:35.856: INFO @log_variables: valid accuracy mean: 0.767408 2019-11-18 13:59:35.856: INFO @log_variables: valid loss mean: 0.680626 2019-11-18 13:59:35.856: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 13:59:38.062: INFO @log_profile : T train: 17.671519 2019-11-18 13:59:38.062: INFO @log_profile : T valid: 0.918391 2019-11-18 13:59:38.062: INFO @log_profile : T read data: 0.645927 2019-11-18 13:59:38.062: INFO @log_profile : T hooks: 3.728288 2019-11-18 13:59:38.062: INFO @main_loop : Epoch 43 done 2019-11-18 13:59:38.062: INFO @main_loop : Training epoch 44 2019-11-18 13:59:58.656: INFO @log_variables: train precision: 0.834663 2019-11-18 13:59:58.657: INFO @log_variables: train recall: 0.826222 2019-11-18 13:59:58.657: INFO @log_variables: train f1: 0.829948 2019-11-18 13:59:58.657: INFO @log_variables: train accuracy mean: 0.838596 2019-11-18 13:59:58.657: INFO @log_variables: train loss mean: 0.424603 2019-11-18 13:59:58.657: INFO @log_variables: valid precision: 0.774210 2019-11-18 13:59:58.657: INFO @log_variables: valid recall: 0.730103 2019-11-18 13:59:58.657: INFO @log_variables: valid f1: 0.740639 2019-11-18 13:59:58.657: INFO @log_variables: valid accuracy mean: 0.766972 2019-11-18 13:59:58.657: INFO @log_variables: valid loss mean: 0.685564 2019-11-18 13:59:58.657: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:00:00.831: INFO @log_profile : T train: 17.399805 2019-11-18 14:00:00.832: INFO @log_profile : T valid: 0.897656 2019-11-18 14:00:00.832: INFO @log_profile : T read data: 0.660176 2019-11-18 14:00:00.832: INFO @log_profile : T hooks: 3.691797 2019-11-18 14:00:00.832: INFO @main_loop : Epoch 44 done 2019-11-18 14:00:00.832: INFO @main_loop : Training epoch 45 2019-11-18 14:00:21.617: INFO @log_variables: train precision: 0.840127 2019-11-18 14:00:21.617: INFO @log_variables: train recall: 0.829810 2019-11-18 14:00:21.617: INFO @log_variables: train f1: 0.834375 2019-11-18 14:00:21.617: INFO @log_variables: train accuracy mean: 0.841875 2019-11-18 14:00:21.617: INFO @log_variables: train loss mean: 0.419098 2019-11-18 14:00:21.617: INFO @log_variables: valid precision: 0.753577 2019-11-18 14:00:21.617: INFO @log_variables: valid recall: 0.734767 2019-11-18 14:00:21.617: INFO @log_variables: valid f1: 0.738988 2019-11-18 14:00:21.617: INFO @log_variables: valid accuracy mean: 0.765082 2019-11-18 14:00:21.618: INFO @log_variables: valid loss mean: 0.664032 2019-11-18 14:00:21.618: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:00:21.708: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_45.ckpt 2019-11-18 14:00:23.951: INFO @log_profile : T train: 17.501838 2019-11-18 14:00:23.951: INFO @log_profile : T valid: 0.926111 2019-11-18 14:00:23.951: INFO @log_profile : T read data: 0.658057 2019-11-18 14:00:23.951: INFO @log_profile : T hooks: 3.917460 2019-11-18 14:00:23.951: INFO @main_loop : Epoch 45 done 2019-11-18 14:00:23.951: INFO @main_loop : Training epoch 46 2019-11-18 14:00:44.510: INFO @log_variables: train precision: 0.843145 2019-11-18 14:00:44.510: INFO @log_variables: train recall: 0.835068 2019-11-18 14:00:44.510: INFO @log_variables: train f1: 0.838577 2019-11-18 14:00:44.510: INFO @log_variables: train accuracy mean: 0.846216 2019-11-18 14:00:44.510: INFO @log_variables: train loss mean: 0.412293 2019-11-18 14:00:44.510: INFO @log_variables: valid precision: 0.760617 2019-11-18 14:00:44.511: INFO @log_variables: valid recall: 0.719899 2019-11-18 14:00:44.511: INFO @log_variables: valid f1: 0.733296 2019-11-18 14:00:44.511: INFO @log_variables: valid accuracy mean: 0.752726 2019-11-18 14:00:44.511: INFO @log_variables: valid loss mean: 0.757318 2019-11-18 14:00:44.511: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:00:46.610: INFO @log_profile : T train: 17.414181 2019-11-18 14:00:46.610: INFO @log_profile : T valid: 0.842278 2019-11-18 14:00:46.610: INFO @log_profile : T read data: 0.618403 2019-11-18 14:00:46.610: INFO @log_profile : T hooks: 3.670593 2019-11-18 14:00:46.610: INFO @main_loop : Epoch 46 done 2019-11-18 14:00:46.610: INFO @main_loop : Training epoch 47 2019-11-18 14:01:07.622: INFO @log_variables: train precision: 0.844507 2019-11-18 14:01:07.622: INFO @log_variables: train recall: 0.835262 2019-11-18 14:01:07.622: INFO @log_variables: train f1: 0.839350 2019-11-18 14:01:07.622: INFO @log_variables: train accuracy mean: 0.847297 2019-11-18 14:01:07.622: INFO @log_variables: train loss mean: 0.405091 2019-11-18 14:01:07.622: INFO @log_variables: valid precision: 0.785847 2019-11-18 14:01:07.622: INFO @log_variables: valid recall: 0.740333 2019-11-18 14:01:07.622: INFO @log_variables: valid f1: 0.755440 2019-11-18 14:01:07.622: INFO @log_variables: valid accuracy mean: 0.776421 2019-11-18 14:01:07.623: INFO @log_variables: valid loss mean: 0.753292 2019-11-18 14:01:07.623: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:01:07.724: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:01:10.045: INFO @log_profile : T train: 17.587588 2019-11-18 14:01:10.045: INFO @log_profile : T valid: 0.949441 2019-11-18 14:01:10.046: INFO @log_profile : T read data: 0.720142 2019-11-18 14:01:10.046: INFO @log_profile : T hooks: 4.062023 2019-11-18 14:01:10.046: INFO @main_loop : Epoch 47 done 2019-11-18 14:01:10.046: INFO @main_loop : Training epoch 48 2019-11-18 14:01:30.834: INFO @log_variables: train precision: 0.846331 2019-11-18 14:01:30.834: INFO @log_variables: train recall: 0.838582 2019-11-18 14:01:30.834: INFO @log_variables: train f1: 0.842037 2019-11-18 14:01:30.835: INFO @log_variables: train accuracy mean: 0.849206 2019-11-18 14:01:30.835: INFO @log_variables: train loss mean: 0.399310 2019-11-18 14:01:30.835: INFO @log_variables: valid precision: 0.760564 2019-11-18 14:01:30.835: INFO @log_variables: valid recall: 0.752183 2019-11-18 14:01:30.835: INFO @log_variables: valid f1: 0.754875 2019-11-18 14:01:30.835: INFO @log_variables: valid accuracy mean: 0.773804 2019-11-18 14:01:30.835: INFO @log_variables: valid loss mean: 0.674061 2019-11-18 14:01:30.835: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:01:33.002: INFO @log_profile : T train: 17.415712 2019-11-18 14:01:33.002: INFO @log_profile : T valid: 0.943163 2019-11-18 14:01:33.002: INFO @log_profile : T read data: 0.729704 2019-11-18 14:01:33.003: INFO @log_profile : T hooks: 3.743503 2019-11-18 14:01:33.003: INFO @main_loop : Epoch 48 done 2019-11-18 14:01:33.003: INFO @main_loop : Training epoch 49 2019-11-18 14:01:53.881: INFO @log_variables: train precision: 0.851816 2019-11-18 14:01:53.882: INFO @log_variables: train recall: 0.844611 2019-11-18 14:01:53.882: INFO @log_variables: train f1: 0.847815 2019-11-18 14:01:53.882: INFO @log_variables: train accuracy mean: 0.854665 2019-11-18 14:01:53.882: INFO @log_variables: train loss mean: 0.387098 2019-11-18 14:01:53.882: INFO @log_variables: valid precision: 0.763117 2019-11-18 14:01:53.882: INFO @log_variables: valid recall: 0.736080 2019-11-18 14:01:53.882: INFO @log_variables: valid f1: 0.746057 2019-11-18 14:01:53.882: INFO @log_variables: valid accuracy mean: 0.772496 2019-11-18 14:01:53.882: INFO @log_variables: valid loss mean: 0.691305 2019-11-18 14:01:53.882: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:01:56.236: INFO @log_profile : T train: 17.616291 2019-11-18 14:01:56.236: INFO @log_profile : T valid: 0.904143 2019-11-18 14:01:56.236: INFO @log_profile : T read data: 0.662455 2019-11-18 14:01:56.236: INFO @log_profile : T hooks: 3.930670 2019-11-18 14:01:56.236: INFO @main_loop : Epoch 49 done 2019-11-18 14:01:56.236: INFO @main_loop : Training epoch 50 2019-11-18 14:02:17.316: INFO @log_variables: train precision: 0.850545 2019-11-18 14:02:17.316: INFO @log_variables: train recall: 0.842391 2019-11-18 14:02:17.316: INFO @log_variables: train f1: 0.846009 2019-11-18 14:02:17.316: INFO @log_variables: train accuracy mean: 0.852539 2019-11-18 14:02:17.316: INFO @log_variables: train loss mean: 0.387996 2019-11-18 14:02:17.316: INFO @log_variables: valid precision: 0.779722 2019-11-18 14:02:17.316: INFO @log_variables: valid recall: 0.734313 2019-11-18 14:02:17.316: INFO @log_variables: valid f1: 0.745058 2019-11-18 14:02:17.316: INFO @log_variables: valid accuracy mean: 0.771624 2019-11-18 14:02:17.316: INFO @log_variables: valid loss mean: 0.775131 2019-11-18 14:02:17.317: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:02:17.418: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_50.ckpt 2019-11-18 14:02:20.009: INFO @log_profile : T train: 17.795667 2019-11-18 14:02:20.009: INFO @log_profile : T valid: 0.947668 2019-11-18 14:02:20.010: INFO @log_profile : T read data: 0.665615 2019-11-18 14:02:20.010: INFO @log_profile : T hooks: 4.246858 2019-11-18 14:02:20.010: INFO @main_loop : Epoch 50 done 2019-11-18 14:02:20.010: INFO @main_loop : Training epoch 51 2019-11-18 14:02:40.722: INFO @log_variables: train precision: 0.856628 2019-11-18 14:02:40.722: INFO @log_variables: train recall: 0.849474 2019-11-18 14:02:40.722: INFO @log_variables: train f1: 0.852667 2019-11-18 14:02:40.722: INFO @log_variables: train accuracy mean: 0.859366 2019-11-18 14:02:40.722: INFO @log_variables: train loss mean: 0.378659 2019-11-18 14:02:40.722: INFO @log_variables: valid precision: 0.769260 2019-11-18 14:02:40.722: INFO @log_variables: valid recall: 0.731002 2019-11-18 14:02:40.722: INFO @log_variables: valid f1: 0.741577 2019-11-18 14:02:40.723: INFO @log_variables: valid accuracy mean: 0.765518 2019-11-18 14:02:40.723: INFO @log_variables: valid loss mean: 0.703719 2019-11-18 14:02:40.723: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:02:43.040: INFO @log_profile : T train: 17.494268 2019-11-18 14:02:43.040: INFO @log_profile : T valid: 0.919000 2019-11-18 14:02:43.040: INFO @log_profile : T read data: 0.697999 2019-11-18 14:02:43.040: INFO @log_profile : T hooks: 3.805065 2019-11-18 14:02:43.041: INFO @main_loop : Epoch 51 done 2019-11-18 14:02:43.041: INFO @main_loop : Training epoch 52 2019-11-18 14:03:03.759: INFO @log_variables: train precision: 0.859316 2019-11-18 14:03:03.759: INFO @log_variables: train recall: 0.852414 2019-11-18 14:03:03.759: INFO @log_variables: train f1: 0.855548 2019-11-18 14:03:03.759: INFO @log_variables: train accuracy mean: 0.860951 2019-11-18 14:03:03.759: INFO @log_variables: train loss mean: 0.370491 2019-11-18 14:03:03.759: INFO @log_variables: valid precision: 0.772774 2019-11-18 14:03:03.759: INFO @log_variables: valid recall: 0.762889 2019-11-18 14:03:03.759: INFO @log_variables: valid f1: 0.765790 2019-11-18 14:03:03.759: INFO @log_variables: valid accuracy mean: 0.781509 2019-11-18 14:03:03.759: INFO @log_variables: valid loss mean: 0.715295 2019-11-18 14:03:03.759: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:03:03.861: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:03:06.222: INFO @log_profile : T train: 17.494666 2019-11-18 14:03:06.222: INFO @log_profile : T valid: 0.944550 2019-11-18 14:03:06.222: INFO @log_profile : T read data: 0.636218 2019-11-18 14:03:06.222: INFO @log_profile : T hooks: 3.992834 2019-11-18 14:03:06.223: INFO @main_loop : Epoch 52 done 2019-11-18 14:03:06.223: INFO @main_loop : Training epoch 53 2019-11-18 14:03:26.887: INFO @log_variables: train precision: 0.861300 2019-11-18 14:03:26.887: INFO @log_variables: train recall: 0.853871 2019-11-18 14:03:26.887: INFO @log_variables: train f1: 0.857232 2019-11-18 14:03:26.887: INFO @log_variables: train accuracy mean: 0.862915 2019-11-18 14:03:26.887: INFO @log_variables: train loss mean: 0.363280 2019-11-18 14:03:26.887: INFO @log_variables: valid precision: 0.786289 2019-11-18 14:03:26.887: INFO @log_variables: valid recall: 0.738586 2019-11-18 14:03:26.887: INFO @log_variables: valid f1: 0.752202 2019-11-18 14:03:26.887: INFO @log_variables: valid accuracy mean: 0.779910 2019-11-18 14:03:26.888: INFO @log_variables: valid loss mean: 0.727261 2019-11-18 14:03:26.888: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:03:29.179: INFO @log_profile : T train: 17.407074 2019-11-18 14:03:29.179: INFO @log_profile : T valid: 0.928203 2019-11-18 14:03:29.179: INFO @log_profile : T read data: 0.656691 2019-11-18 14:03:29.179: INFO @log_profile : T hooks: 3.845086 2019-11-18 14:03:29.179: INFO @main_loop : Epoch 53 done 2019-11-18 14:03:29.179: INFO @main_loop : Training epoch 54 2019-11-18 14:03:49.849: INFO @log_variables: train precision: 0.859294 2019-11-18 14:03:49.849: INFO @log_variables: train recall: 0.851726 2019-11-18 14:03:49.849: INFO @log_variables: train f1: 0.855139 2019-11-18 14:03:49.849: INFO @log_variables: train accuracy mean: 0.862285 2019-11-18 14:03:49.849: INFO @log_variables: train loss mean: 0.364773 2019-11-18 14:03:49.850: INFO @log_variables: valid precision: 0.764691 2019-11-18 14:03:49.850: INFO @log_variables: valid recall: 0.730344 2019-11-18 14:03:49.850: INFO @log_variables: valid f1: 0.743335 2019-11-18 14:03:49.850: INFO @log_variables: valid accuracy mean: 0.765664 2019-11-18 14:03:49.850: INFO @log_variables: valid loss mean: 0.723149 2019-11-18 14:03:49.850: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:03:52.155: INFO @log_profile : T train: 17.448140 2019-11-18 14:03:52.156: INFO @log_profile : T valid: 0.924179 2019-11-18 14:03:52.156: INFO @log_profile : T read data: 0.660200 2019-11-18 14:03:52.156: INFO @log_profile : T hooks: 3.827952 2019-11-18 14:03:52.156: INFO @main_loop : Epoch 54 done 2019-11-18 14:03:52.156: INFO @main_loop : Training epoch 55 2019-11-18 14:04:12.719: INFO @log_variables: train precision: 0.862227 2019-11-18 14:04:12.719: INFO @log_variables: train recall: 0.854111 2019-11-18 14:04:12.719: INFO @log_variables: train f1: 0.857811 2019-11-18 14:04:12.719: INFO @log_variables: train accuracy mean: 0.864014 2019-11-18 14:04:12.719: INFO @log_variables: train loss mean: 0.361401 2019-11-18 14:04:12.719: INFO @log_variables: valid precision: 0.783678 2019-11-18 14:04:12.719: INFO @log_variables: valid recall: 0.709793 2019-11-18 14:04:12.719: INFO @log_variables: valid f1: 0.731537 2019-11-18 14:04:12.719: INFO @log_variables: valid accuracy mean: 0.756360 2019-11-18 14:04:12.719: INFO @log_variables: valid loss mean: 0.859930 2019-11-18 14:04:12.719: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:04:12.839: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_55.ckpt 2019-11-18 14:04:15.076: INFO @log_profile : T train: 17.297634 2019-11-18 14:04:15.077: INFO @log_profile : T valid: 0.928478 2019-11-18 14:04:15.077: INFO @log_profile : T read data: 0.679059 2019-11-18 14:04:15.077: INFO @log_profile : T hooks: 3.900562 2019-11-18 14:04:15.077: INFO @main_loop : Epoch 55 done 2019-11-18 14:04:15.077: INFO @main_loop : Training epoch 56 2019-11-18 14:04:35.419: INFO @log_variables: train precision: 0.865555 2019-11-18 14:04:35.420: INFO @log_variables: train recall: 0.858581 2019-11-18 14:04:35.420: INFO @log_variables: train f1: 0.861756 2019-11-18 14:04:35.420: INFO @log_variables: train accuracy mean: 0.867635 2019-11-18 14:04:35.420: INFO @log_variables: train loss mean: 0.351736 2019-11-18 14:04:35.420: INFO @log_variables: valid precision: 0.777859 2019-11-18 14:04:35.420: INFO @log_variables: valid recall: 0.744231 2019-11-18 14:04:35.420: INFO @log_variables: valid f1: 0.756109 2019-11-18 14:04:35.420: INFO @log_variables: valid accuracy mean: 0.773950 2019-11-18 14:04:35.420: INFO @log_variables: valid loss mean: 0.779393 2019-11-18 14:04:35.420: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:04:37.984: INFO @log_profile : T train: 17.154511 2019-11-18 14:04:37.984: INFO @log_profile : T valid: 0.886520 2019-11-18 14:04:37.984: INFO @log_profile : T read data: 0.699863 2019-11-18 14:04:37.984: INFO @log_profile : T hooks: 4.034029 2019-11-18 14:04:37.984: INFO @main_loop : Epoch 56 done 2019-11-18 14:04:37.984: INFO @main_loop : Training epoch 57 2019-11-18 14:04:58.985: INFO @log_variables: train precision: 0.871673 2019-11-18 14:04:58.985: INFO @log_variables: train recall: 0.864843 2019-11-18 14:04:58.985: INFO @log_variables: train f1: 0.867896 2019-11-18 14:04:58.985: INFO @log_variables: train accuracy mean: 0.872498 2019-11-18 14:04:58.985: INFO @log_variables: train loss mean: 0.341320 2019-11-18 14:04:58.985: INFO @log_variables: valid precision: 0.760964 2019-11-18 14:04:58.985: INFO @log_variables: valid recall: 0.751823 2019-11-18 14:04:58.985: INFO @log_variables: valid f1: 0.752149 2019-11-18 14:04:58.985: INFO @log_variables: valid accuracy mean: 0.772205 2019-11-18 14:04:58.985: INFO @log_variables: valid loss mean: 0.795071 2019-11-18 14:04:58.985: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:05:01.174: INFO @log_profile : T train: 17.659332 2019-11-18 14:05:01.174: INFO @log_profile : T valid: 0.899068 2019-11-18 14:05:01.174: INFO @log_profile : T read data: 0.694656 2019-11-18 14:05:01.174: INFO @log_profile : T hooks: 3.821128 2019-11-18 14:05:01.174: INFO @main_loop : Epoch 57 done 2019-11-18 14:05:01.174: INFO @main_loop : Training epoch 58 2019-11-18 14:05:22.028: INFO @log_variables: train precision: 0.870013 2019-11-18 14:05:22.028: INFO @log_variables: train recall: 0.863537 2019-11-18 14:05:22.028: INFO @log_variables: train f1: 0.866439 2019-11-18 14:05:22.028: INFO @log_variables: train accuracy mean: 0.871381 2019-11-18 14:05:22.029: INFO @log_variables: train loss mean: 0.340274 2019-11-18 14:05:22.029: INFO @log_variables: valid precision: 0.780623 2019-11-18 14:05:22.029: INFO @log_variables: valid recall: 0.753936 2019-11-18 14:05:22.029: INFO @log_variables: valid f1: 0.764157 2019-11-18 14:05:22.029: INFO @log_variables: valid accuracy mean: 0.783835 2019-11-18 14:05:22.029: INFO @log_variables: valid loss mean: 0.711148 2019-11-18 14:05:22.029: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:05:24.219: INFO @log_profile : T train: 17.619903 2019-11-18 14:05:24.219: INFO @log_profile : T valid: 0.927697 2019-11-18 14:05:24.219: INFO @log_profile : T read data: 0.647986 2019-11-18 14:05:24.219: INFO @log_profile : T hooks: 3.731900 2019-11-18 14:05:24.219: INFO @main_loop : Epoch 58 done 2019-11-18 14:05:24.219: INFO @main_loop : Training epoch 59 2019-11-18 14:05:45.188: INFO @log_variables: train precision: 0.873289 2019-11-18 14:05:45.188: INFO @log_variables: train recall: 0.867129 2019-11-18 14:05:45.188: INFO @log_variables: train f1: 0.869946 2019-11-18 14:05:45.188: INFO @log_variables: train accuracy mean: 0.874930 2019-11-18 14:05:45.188: INFO @log_variables: train loss mean: 0.333037 2019-11-18 14:05:45.188: INFO @log_variables: valid precision: 0.787367 2019-11-18 14:05:45.188: INFO @log_variables: valid recall: 0.721808 2019-11-18 14:05:45.188: INFO @log_variables: valid f1: 0.744529 2019-11-18 14:05:45.189: INFO @log_variables: valid accuracy mean: 0.771624 2019-11-18 14:05:45.189: INFO @log_variables: valid loss mean: 0.807400 2019-11-18 14:05:45.189: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:05:47.720: INFO @log_profile : T train: 17.677675 2019-11-18 14:05:47.720: INFO @log_profile : T valid: 0.936238 2019-11-18 14:05:47.720: INFO @log_profile : T read data: 0.663687 2019-11-18 14:05:47.720: INFO @log_profile : T hooks: 4.100566 2019-11-18 14:05:47.720: INFO @main_loop : Epoch 59 done 2019-11-18 14:05:47.720: INFO @main_loop : Training epoch 60 2019-11-18 14:06:08.461: INFO @log_variables: train precision: 0.873640 2019-11-18 14:06:08.461: INFO @log_variables: train recall: 0.866355 2019-11-18 14:06:08.461: INFO @log_variables: train f1: 0.869666 2019-11-18 14:06:08.462: INFO @log_variables: train accuracy mean: 0.875110 2019-11-18 14:06:08.462: INFO @log_variables: train loss mean: 0.330914 2019-11-18 14:06:08.462: INFO @log_variables: valid precision: 0.779933 2019-11-18 14:06:08.462: INFO @log_variables: valid recall: 0.748419 2019-11-18 14:06:08.462: INFO @log_variables: valid f1: 0.754759 2019-11-18 14:06:08.462: INFO @log_variables: valid accuracy mean: 0.773950 2019-11-18 14:06:08.462: INFO @log_variables: valid loss mean: 0.846014 2019-11-18 14:06:08.462: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:06:08.561: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_60.ckpt 2019-11-18 14:06:10.666: INFO @log_profile : T train: 17.446327 2019-11-18 14:06:10.666: INFO @log_profile : T valid: 0.962076 2019-11-18 14:06:10.666: INFO @log_profile : T read data: 0.680289 2019-11-18 14:06:10.666: INFO @log_profile : T hooks: 3.736388 2019-11-18 14:06:10.666: INFO @main_loop : Epoch 60 done 2019-11-18 14:06:10.666: INFO @main_loop : Training epoch 61 2019-11-18 14:06:31.351: INFO @log_variables: train precision: 0.875227 2019-11-18 14:06:31.351: INFO @log_variables: train recall: 0.869352 2019-11-18 14:06:31.351: INFO @log_variables: train f1: 0.872012 2019-11-18 14:06:31.351: INFO @log_variables: train accuracy mean: 0.878137 2019-11-18 14:06:31.351: INFO @log_variables: train loss mean: 0.323229 2019-11-18 14:06:31.351: INFO @log_variables: valid precision: 0.785604 2019-11-18 14:06:31.351: INFO @log_variables: valid recall: 0.735903 2019-11-18 14:06:31.351: INFO @log_variables: valid f1: 0.747637 2019-11-18 14:06:31.352: INFO @log_variables: valid accuracy mean: 0.773368 2019-11-18 14:06:31.352: INFO @log_variables: valid loss mean: 0.834227 2019-11-18 14:06:31.352: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:06:33.992: INFO @log_profile : T train: 17.506295 2019-11-18 14:06:33.992: INFO @log_profile : T valid: 0.863443 2019-11-18 14:06:33.992: INFO @log_profile : T read data: 0.688061 2019-11-18 14:06:33.992: INFO @log_profile : T hooks: 4.148407 2019-11-18 14:06:33.992: INFO @main_loop : Epoch 61 done 2019-11-18 14:06:33.992: INFO @main_loop : Training epoch 62 2019-11-18 14:06:54.392: INFO @log_variables: train precision: 0.878635 2019-11-18 14:06:54.393: INFO @log_variables: train recall: 0.872202 2019-11-18 14:06:54.393: INFO @log_variables: train f1: 0.875143 2019-11-18 14:06:54.393: INFO @log_variables: train accuracy mean: 0.880406 2019-11-18 14:06:54.393: INFO @log_variables: train loss mean: 0.321478 2019-11-18 14:06:54.393: INFO @log_variables: valid precision: 0.781741 2019-11-18 14:06:54.393: INFO @log_variables: valid recall: 0.745402 2019-11-18 14:06:54.393: INFO @log_variables: valid f1: 0.757529 2019-11-18 14:06:54.393: INFO @log_variables: valid accuracy mean: 0.775403 2019-11-18 14:06:54.393: INFO @log_variables: valid loss mean: 0.760210 2019-11-18 14:06:54.393: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:06:56.683: INFO @log_profile : T train: 17.223684 2019-11-18 14:06:56.683: INFO @log_profile : T valid: 0.874845 2019-11-18 14:06:56.683: INFO @log_profile : T read data: 0.686394 2019-11-18 14:06:56.683: INFO @log_profile : T hooks: 3.785105 2019-11-18 14:06:56.683: INFO @main_loop : Epoch 62 done 2019-11-18 14:06:56.683: INFO @main_loop : Training epoch 63 2019-11-18 14:07:17.102: INFO @log_variables: train precision: 0.879268 2019-11-18 14:07:17.102: INFO @log_variables: train recall: 0.874271 2019-11-18 14:07:17.102: INFO @log_variables: train f1: 0.876516 2019-11-18 14:07:17.102: INFO @log_variables: train accuracy mean: 0.881757 2019-11-18 14:07:17.103: INFO @log_variables: train loss mean: 0.316175 2019-11-18 14:07:17.103: INFO @log_variables: valid precision: 0.785229 2019-11-18 14:07:17.103: INFO @log_variables: valid recall: 0.747571 2019-11-18 14:07:17.103: INFO @log_variables: valid f1: 0.760679 2019-11-18 14:07:17.103: INFO @log_variables: valid accuracy mean: 0.782817 2019-11-18 14:07:17.103: INFO @log_variables: valid loss mean: 0.733351 2019-11-18 14:07:17.103: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:07:19.292: INFO @log_profile : T train: 17.222240 2019-11-18 14:07:19.292: INFO @log_profile : T valid: 0.869412 2019-11-18 14:07:19.292: INFO @log_profile : T read data: 0.687547 2019-11-18 14:07:19.292: INFO @log_profile : T hooks: 3.711472 2019-11-18 14:07:19.292: INFO @main_loop : Epoch 63 done 2019-11-18 14:07:19.292: INFO @main_loop : Training epoch 64 2019-11-18 14:07:39.600: INFO @log_variables: train precision: 0.883238 2019-11-18 14:07:39.601: INFO @log_variables: train recall: 0.876717 2019-11-18 14:07:39.601: INFO @log_variables: train f1: 0.879691 2019-11-18 14:07:39.601: INFO @log_variables: train accuracy mean: 0.883577 2019-11-18 14:07:39.601: INFO @log_variables: train loss mean: 0.312088 2019-11-18 14:07:39.601: INFO @log_variables: valid precision: 0.770050 2019-11-18 14:07:39.601: INFO @log_variables: valid recall: 0.752402 2019-11-18 14:07:39.601: INFO @log_variables: valid f1: 0.758749 2019-11-18 14:07:39.601: INFO @log_variables: valid accuracy mean: 0.780201 2019-11-18 14:07:39.601: INFO @log_variables: valid loss mean: 0.724950 2019-11-18 14:07:39.601: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:07:41.946: INFO @log_profile : T train: 17.084647 2019-11-18 14:07:41.946: INFO @log_profile : T valid: 0.897512 2019-11-18 14:07:41.946: INFO @log_profile : T read data: 0.685809 2019-11-18 14:07:41.946: INFO @log_profile : T hooks: 3.866223 2019-11-18 14:07:41.946: INFO @main_loop : Epoch 64 done 2019-11-18 14:07:41.946: INFO @main_loop : Training epoch 65 2019-11-18 14:08:02.587: INFO @log_variables: train precision: 0.881673 2019-11-18 14:08:02.587: INFO @log_variables: train recall: 0.876255 2019-11-18 14:08:02.587: INFO @log_variables: train f1: 0.878745 2019-11-18 14:08:02.587: INFO @log_variables: train accuracy mean: 0.883090 2019-11-18 14:08:02.588: INFO @log_variables: train loss mean: 0.308026 2019-11-18 14:08:02.588: INFO @log_variables: valid precision: 0.777995 2019-11-18 14:08:02.588: INFO @log_variables: valid recall: 0.736210 2019-11-18 14:08:02.588: INFO @log_variables: valid f1: 0.752721 2019-11-18 14:08:02.588: INFO @log_variables: valid accuracy mean: 0.774822 2019-11-18 14:08:02.588: INFO @log_variables: valid loss mean: 0.774038 2019-11-18 14:08:02.588: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:08:02.700: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_65.ckpt 2019-11-18 14:08:05.188: INFO @log_profile : T train: 17.341422 2019-11-18 14:08:05.188: INFO @log_profile : T valid: 0.856955 2019-11-18 14:08:05.188: INFO @log_profile : T read data: 0.761775 2019-11-18 14:08:05.188: INFO @log_profile : T hooks: 4.161628 2019-11-18 14:08:05.188: INFO @main_loop : Epoch 65 done 2019-11-18 14:08:05.188: INFO @main_loop : Training epoch 66 2019-11-18 14:08:25.564: INFO @log_variables: train precision: 0.886921 2019-11-18 14:08:25.564: INFO @log_variables: train recall: 0.881631 2019-11-18 14:08:25.564: INFO @log_variables: train f1: 0.884070 2019-11-18 14:08:25.565: INFO @log_variables: train accuracy mean: 0.888044 2019-11-18 14:08:25.565: INFO @log_variables: train loss mean: 0.300375 2019-11-18 14:08:25.565: INFO @log_variables: valid precision: 0.770264 2019-11-18 14:08:25.565: INFO @log_variables: valid recall: 0.754189 2019-11-18 14:08:25.565: INFO @log_variables: valid f1: 0.754177 2019-11-18 14:08:25.565: INFO @log_variables: valid accuracy mean: 0.775113 2019-11-18 14:08:25.565: INFO @log_variables: valid loss mean: 0.775813 2019-11-18 14:08:25.565: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:08:28.033: INFO @log_profile : T train: 17.185928 2019-11-18 14:08:28.033: INFO @log_profile : T valid: 0.885102 2019-11-18 14:08:28.033: INFO @log_profile : T read data: 0.689749 2019-11-18 14:08:28.033: INFO @log_profile : T hooks: 3.962956 2019-11-18 14:08:28.033: INFO @main_loop : Epoch 66 done 2019-11-18 14:08:28.033: INFO @main_loop : Training epoch 67 2019-11-18 14:08:48.460: INFO @log_variables: train precision: 0.886836 2019-11-18 14:08:48.460: INFO @log_variables: train recall: 0.881734 2019-11-18 14:08:48.460: INFO @log_variables: train f1: 0.884083 2019-11-18 14:08:48.460: INFO @log_variables: train accuracy mean: 0.888405 2019-11-18 14:08:48.461: INFO @log_variables: train loss mean: 0.298795 2019-11-18 14:08:48.461: INFO @log_variables: valid precision: 0.772804 2019-11-18 14:08:48.461: INFO @log_variables: valid recall: 0.745157 2019-11-18 14:08:48.461: INFO @log_variables: valid f1: 0.753775 2019-11-18 14:08:48.461: INFO @log_variables: valid accuracy mean: 0.777439 2019-11-18 14:08:48.461: INFO @log_variables: valid loss mean: 0.761798 2019-11-18 14:08:48.461: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:08:50.821: INFO @log_profile : T train: 17.240268 2019-11-18 14:08:50.821: INFO @log_profile : T valid: 0.887517 2019-11-18 14:08:50.821: INFO @log_profile : T read data: 0.679036 2019-11-18 14:08:50.821: INFO @log_profile : T hooks: 3.861108 2019-11-18 14:08:50.821: INFO @main_loop : Epoch 67 done 2019-11-18 14:08:50.821: INFO @main_loop : Training epoch 68 2019-11-18 14:09:11.362: INFO @log_variables: train precision: 0.886376 2019-11-18 14:09:11.362: INFO @log_variables: train recall: 0.880557 2019-11-18 14:09:11.362: INFO @log_variables: train f1: 0.883190 2019-11-18 14:09:11.363: INFO @log_variables: train accuracy mean: 0.888891 2019-11-18 14:09:11.363: INFO @log_variables: train loss mean: 0.295252 2019-11-18 14:09:11.363: INFO @log_variables: valid precision: 0.781518 2019-11-18 14:09:11.363: INFO @log_variables: valid recall: 0.752809 2019-11-18 14:09:11.363: INFO @log_variables: valid f1: 0.758019 2019-11-18 14:09:11.363: INFO @log_variables: valid accuracy mean: 0.780055 2019-11-18 14:09:11.363: INFO @log_variables: valid loss mean: 0.790825 2019-11-18 14:09:11.363: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:09:13.617: INFO @log_profile : T train: 17.260182 2019-11-18 14:09:13.618: INFO @log_profile : T valid: 0.875220 2019-11-18 14:09:13.618: INFO @log_profile : T read data: 0.769206 2019-11-18 14:09:13.618: INFO @log_profile : T hooks: 3.766556 2019-11-18 14:09:13.618: INFO @main_loop : Epoch 68 done 2019-11-18 14:09:13.618: INFO @main_loop : Training epoch 69 2019-11-18 14:09:33.848: INFO @log_variables: train precision: 0.891486 2019-11-18 14:09:33.848: INFO @log_variables: train recall: 0.885400 2019-11-18 14:09:33.848: INFO @log_variables: train f1: 0.888204 2019-11-18 14:09:33.848: INFO @log_variables: train accuracy mean: 0.891827 2019-11-18 14:09:33.849: INFO @log_variables: train loss mean: 0.288064 2019-11-18 14:09:33.849: INFO @log_variables: valid precision: 0.789585 2019-11-18 14:09:33.849: INFO @log_variables: valid recall: 0.746441 2019-11-18 14:09:33.849: INFO @log_variables: valid f1: 0.763705 2019-11-18 14:09:33.849: INFO @log_variables: valid accuracy mean: 0.783544 2019-11-18 14:09:33.849: INFO @log_variables: valid loss mean: 0.788118 2019-11-18 14:09:33.849: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:09:35.901: INFO @log_profile : T train: 17.154117 2019-11-18 14:09:35.901: INFO @log_profile : T valid: 0.873356 2019-11-18 14:09:35.901: INFO @log_profile : T read data: 0.635120 2019-11-18 14:09:35.901: INFO @log_profile : T hooks: 3.505037 2019-11-18 14:09:35.901: INFO @main_loop : Epoch 69 done 2019-11-18 14:09:35.901: INFO @main_loop : Training epoch 70 2019-11-18 14:09:56.235: INFO @log_variables: train precision: 0.892345 2019-11-18 14:09:56.235: INFO @log_variables: train recall: 0.887293 2019-11-18 14:09:56.235: INFO @log_variables: train f1: 0.889602 2019-11-18 14:09:56.235: INFO @log_variables: train accuracy mean: 0.893773 2019-11-18 14:09:56.235: INFO @log_variables: train loss mean: 0.283484 2019-11-18 14:09:56.235: INFO @log_variables: valid precision: 0.786747 2019-11-18 14:09:56.235: INFO @log_variables: valid recall: 0.736667 2019-11-18 14:09:56.235: INFO @log_variables: valid f1: 0.755728 2019-11-18 14:09:56.235: INFO @log_variables: valid accuracy mean: 0.776276 2019-11-18 14:09:56.235: INFO @log_variables: valid loss mean: 0.776979 2019-11-18 14:09:56.235: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:09:56.332: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_70.ckpt 2019-11-18 14:09:58.664: INFO @log_profile : T train: 17.169706 2019-11-18 14:09:58.664: INFO @log_profile : T valid: 0.869159 2019-11-18 14:09:58.665: INFO @log_profile : T read data: 0.703549 2019-11-18 14:09:58.665: INFO @log_profile : T hooks: 3.903948 2019-11-18 14:09:58.665: INFO @main_loop : Epoch 70 done 2019-11-18 14:09:58.665: INFO @main_loop : Training epoch 71 2019-11-18 14:10:18.868: INFO @log_variables: train precision: 0.895382 2019-11-18 14:10:18.869: INFO @log_variables: train recall: 0.890432 2019-11-18 14:10:18.869: INFO @log_variables: train f1: 0.892714 2019-11-18 14:10:18.869: INFO @log_variables: train accuracy mean: 0.896601 2019-11-18 14:10:18.869: INFO @log_variables: train loss mean: 0.279757 2019-11-18 14:10:18.869: INFO @log_variables: valid precision: 0.776763 2019-11-18 14:10:18.869: INFO @log_variables: valid recall: 0.735005 2019-11-18 14:10:18.869: INFO @log_variables: valid f1: 0.744036 2019-11-18 14:10:18.869: INFO @log_variables: valid accuracy mean: 0.770897 2019-11-18 14:10:18.869: INFO @log_variables: valid loss mean: 0.846807 2019-11-18 14:10:18.869: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:10:21.208: INFO @log_profile : T train: 17.057759 2019-11-18 14:10:21.208: INFO @log_profile : T valid: 0.866869 2019-11-18 14:10:21.209: INFO @log_profile : T read data: 0.670805 2019-11-18 14:10:21.209: INFO @log_profile : T hooks: 3.834181 2019-11-18 14:10:21.209: INFO @main_loop : Epoch 71 done 2019-11-18 14:10:21.209: INFO @main_loop : Training epoch 72 2019-11-18 14:10:41.528: INFO @log_variables: train precision: 0.893501 2019-11-18 14:10:41.528: INFO @log_variables: train recall: 0.888038 2019-11-18 14:10:41.528: INFO @log_variables: train f1: 0.890561 2019-11-18 14:10:41.528: INFO @log_variables: train accuracy mean: 0.894169 2019-11-18 14:10:41.529: INFO @log_variables: train loss mean: 0.280830 2019-11-18 14:10:41.529: INFO @log_variables: valid precision: 0.763362 2019-11-18 14:10:41.529: INFO @log_variables: valid recall: 0.746232 2019-11-18 14:10:41.529: INFO @log_variables: valid f1: 0.747304 2019-11-18 14:10:41.529: INFO @log_variables: valid accuracy mean: 0.771915 2019-11-18 14:10:41.529: INFO @log_variables: valid loss mean: 0.817842 2019-11-18 14:10:41.529: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:10:43.756: INFO @log_profile : T train: 17.147368 2019-11-18 14:10:43.756: INFO @log_profile : T valid: 0.898028 2019-11-18 14:10:43.756: INFO @log_profile : T read data: 0.668215 2019-11-18 14:10:43.756: INFO @log_profile : T hooks: 3.719509 2019-11-18 14:10:43.756: INFO @main_loop : Epoch 72 done 2019-11-18 14:10:43.756: INFO @main_loop : Training epoch 73 2019-11-18 14:11:04.387: INFO @log_variables: train precision: 0.897432 2019-11-18 14:11:04.387: INFO @log_variables: train recall: 0.892677 2019-11-18 14:11:04.387: INFO @log_variables: train f1: 0.894883 2019-11-18 14:11:04.387: INFO @log_variables: train accuracy mean: 0.898222 2019-11-18 14:11:04.387: INFO @log_variables: train loss mean: 0.274330 2019-11-18 14:11:04.387: INFO @log_variables: valid precision: 0.772095 2019-11-18 14:11:04.387: INFO @log_variables: valid recall: 0.742341 2019-11-18 14:11:04.387: INFO @log_variables: valid f1: 0.747389 2019-11-18 14:11:04.387: INFO @log_variables: valid accuracy mean: 0.774967 2019-11-18 14:11:04.387: INFO @log_variables: valid loss mean: 0.856821 2019-11-18 14:11:04.387: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:11:06.853: INFO @log_profile : T train: 17.462413 2019-11-18 14:11:06.853: INFO @log_profile : T valid: 0.901910 2019-11-18 14:11:06.853: INFO @log_profile : T read data: 0.648837 2019-11-18 14:11:06.853: INFO @log_profile : T hooks: 3.967384 2019-11-18 14:11:06.854: INFO @main_loop : Epoch 73 done 2019-11-18 14:11:06.854: INFO @main_loop : Training epoch 74 2019-11-18 14:11:27.707: INFO @log_variables: train precision: 0.896338 2019-11-18 14:11:27.707: INFO @log_variables: train recall: 0.891618 2019-11-18 14:11:27.707: INFO @log_variables: train f1: 0.893793 2019-11-18 14:11:27.707: INFO @log_variables: train accuracy mean: 0.897826 2019-11-18 14:11:27.707: INFO @log_variables: train loss mean: 0.272994 2019-11-18 14:11:27.707: INFO @log_variables: valid precision: 0.783192 2019-11-18 14:11:27.707: INFO @log_variables: valid recall: 0.748187 2019-11-18 14:11:27.707: INFO @log_variables: valid f1: 0.755598 2019-11-18 14:11:27.707: INFO @log_variables: valid accuracy mean: 0.783544 2019-11-18 14:11:27.707: INFO @log_variables: valid loss mean: 0.873661 2019-11-18 14:11:27.707: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:11:29.912: INFO @log_profile : T train: 17.591447 2019-11-18 14:11:29.912: INFO @log_profile : T valid: 0.914731 2019-11-18 14:11:29.912: INFO @log_profile : T read data: 0.722374 2019-11-18 14:11:29.912: INFO @log_profile : T hooks: 3.711250 2019-11-18 14:11:29.912: INFO @main_loop : Epoch 74 done 2019-11-18 14:11:29.912: INFO @main_loop : Training epoch 75 2019-11-18 14:11:51.001: INFO @log_variables: train precision: 0.899649 2019-11-18 14:11:51.001: INFO @log_variables: train recall: 0.894694 2019-11-18 14:11:51.001: INFO @log_variables: train f1: 0.896992 2019-11-18 14:11:51.002: INFO @log_variables: train accuracy mean: 0.901140 2019-11-18 14:11:51.002: INFO @log_variables: train loss mean: 0.269024 2019-11-18 14:11:51.002: INFO @log_variables: valid precision: 0.766038 2019-11-18 14:11:51.002: INFO @log_variables: valid recall: 0.740527 2019-11-18 14:11:51.002: INFO @log_variables: valid f1: 0.746335 2019-11-18 14:11:51.002: INFO @log_variables: valid accuracy mean: 0.769007 2019-11-18 14:11:51.002: INFO @log_variables: valid loss mean: 0.854774 2019-11-18 14:11:51.002: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:11:51.101: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_75.ckpt 2019-11-18 14:11:53.487: INFO @log_profile : T train: 17.799291 2019-11-18 14:11:53.488: INFO @log_profile : T valid: 0.941330 2019-11-18 14:11:53.488: INFO @log_profile : T read data: 0.683195 2019-11-18 14:11:53.488: INFO @log_profile : T hooks: 4.023813 2019-11-18 14:11:53.488: INFO @main_loop : Epoch 75 done 2019-11-18 14:11:53.488: INFO @main_loop : Training epoch 76 2019-11-18 14:12:14.721: INFO @log_variables: train precision: 0.899490 2019-11-18 14:12:14.721: INFO @log_variables: train recall: 0.894581 2019-11-18 14:12:14.721: INFO @log_variables: train f1: 0.896819 2019-11-18 14:12:14.721: INFO @log_variables: train accuracy mean: 0.900726 2019-11-18 14:12:14.721: INFO @log_variables: train loss mean: 0.263508 2019-11-18 14:12:14.721: INFO @log_variables: valid precision: 0.773329 2019-11-18 14:12:14.721: INFO @log_variables: valid recall: 0.754538 2019-11-18 14:12:14.721: INFO @log_variables: valid f1: 0.762171 2019-11-18 14:12:14.721: INFO @log_variables: valid accuracy mean: 0.779910 2019-11-18 14:12:14.722: INFO @log_variables: valid loss mean: 0.811722 2019-11-18 14:12:14.722: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:12:17.062: INFO @log_profile : T train: 17.771681 2019-11-18 14:12:17.062: INFO @log_profile : T valid: 0.925626 2019-11-18 14:12:17.062: INFO @log_profile : T read data: 0.904563 2019-11-18 14:12:17.062: INFO @log_profile : T hooks: 3.851870 2019-11-18 14:12:17.063: INFO @main_loop : Epoch 76 done 2019-11-18 14:12:17.063: INFO @main_loop : Training epoch 77 2019-11-18 14:12:38.339: INFO @log_variables: train precision: 0.900681 2019-11-18 14:12:38.339: INFO @log_variables: train recall: 0.896459 2019-11-18 14:12:38.340: INFO @log_variables: train f1: 0.898433 2019-11-18 14:12:38.340: INFO @log_variables: train accuracy mean: 0.901645 2019-11-18 14:12:38.340: INFO @log_variables: train loss mean: 0.261507 2019-11-18 14:12:38.340: INFO @log_variables: valid precision: 0.780413 2019-11-18 14:12:38.340: INFO @log_variables: valid recall: 0.750156 2019-11-18 14:12:38.340: INFO @log_variables: valid f1: 0.751867 2019-11-18 14:12:38.340: INFO @log_variables: valid accuracy mean: 0.778020 2019-11-18 14:12:38.340: INFO @log_variables: valid loss mean: 0.838914 2019-11-18 14:12:38.340: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:12:40.686: INFO @log_profile : T train: 17.765290 2019-11-18 14:12:40.687: INFO @log_profile : T valid: 0.968458 2019-11-18 14:12:40.687: INFO @log_profile : T read data: 0.842845 2019-11-18 14:12:40.687: INFO @log_profile : T hooks: 3.923090 2019-11-18 14:12:40.687: INFO @main_loop : Epoch 77 done 2019-11-18 14:12:40.687: INFO @main_loop : Training epoch 78 2019-11-18 14:13:01.882: INFO @log_variables: train precision: 0.903614 2019-11-18 14:13:01.883: INFO @log_variables: train recall: 0.899157 2019-11-18 14:13:01.883: INFO @log_variables: train f1: 0.901248 2019-11-18 14:13:01.883: INFO @log_variables: train accuracy mean: 0.905103 2019-11-18 14:13:01.883: INFO @log_variables: train loss mean: 0.257094 2019-11-18 14:13:01.883: INFO @log_variables: valid precision: 0.778172 2019-11-18 14:13:01.883: INFO @log_variables: valid recall: 0.744586 2019-11-18 14:13:01.883: INFO @log_variables: valid f1: 0.753787 2019-11-18 14:13:01.883: INFO @log_variables: valid accuracy mean: 0.778020 2019-11-18 14:13:01.883: INFO @log_variables: valid loss mean: 0.869905 2019-11-18 14:13:01.883: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:13:04.079: INFO @log_profile : T train: 17.807455 2019-11-18 14:13:04.079: INFO @log_profile : T valid: 0.916255 2019-11-18 14:13:04.079: INFO @log_profile : T read data: 0.787909 2019-11-18 14:13:04.079: INFO @log_profile : T hooks: 3.757919 2019-11-18 14:13:04.079: INFO @main_loop : Epoch 78 done 2019-11-18 14:13:04.079: INFO @main_loop : Training epoch 79 2019-11-18 14:13:25.052: INFO @log_variables: train precision: 0.901062 2019-11-18 14:13:25.053: INFO @log_variables: train recall: 0.897237 2019-11-18 14:13:25.053: INFO @log_variables: train f1: 0.899022 2019-11-18 14:13:25.053: INFO @log_variables: train accuracy mean: 0.903248 2019-11-18 14:13:25.053: INFO @log_variables: train loss mean: 0.258692 2019-11-18 14:13:25.053: INFO @log_variables: valid precision: 0.779036 2019-11-18 14:13:25.053: INFO @log_variables: valid recall: 0.728861 2019-11-18 14:13:25.053: INFO @log_variables: valid f1: 0.741757 2019-11-18 14:13:25.053: INFO @log_variables: valid accuracy mean: 0.773368 2019-11-18 14:13:25.053: INFO @log_variables: valid loss mean: 0.878820 2019-11-18 14:13:25.053: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:13:27.254: INFO @log_profile : T train: 17.719388 2019-11-18 14:13:27.254: INFO @log_profile : T valid: 0.924290 2019-11-18 14:13:27.254: INFO @log_profile : T read data: 0.677815 2019-11-18 14:13:27.254: INFO @log_profile : T hooks: 3.735357 2019-11-18 14:13:27.254: INFO @main_loop : Epoch 79 done 2019-11-18 14:13:27.254: INFO @main_loop : Training epoch 80 2019-11-18 14:13:48.842: INFO @log_variables: train precision: 0.903469 2019-11-18 14:13:48.842: INFO @log_variables: train recall: 0.898495 2019-11-18 14:13:48.842: INFO @log_variables: train f1: 0.900816 2019-11-18 14:13:48.842: INFO @log_variables: train accuracy mean: 0.905446 2019-11-18 14:13:48.842: INFO @log_variables: train loss mean: 0.254147 2019-11-18 14:13:48.842: INFO @log_variables: valid precision: 0.765419 2019-11-18 14:13:48.842: INFO @log_variables: valid recall: 0.762396 2019-11-18 14:13:48.842: INFO @log_variables: valid f1: 0.758232 2019-11-18 14:13:48.842: INFO @log_variables: valid accuracy mean: 0.774240 2019-11-18 14:13:48.842: INFO @log_variables: valid loss mean: 0.880634 2019-11-18 14:13:48.842: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:13:48.936: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_80.ckpt 2019-11-18 14:13:51.193: INFO @log_profile : T train: 17.721112 2019-11-18 14:13:51.193: INFO @log_profile : T valid: 0.940389 2019-11-18 14:13:51.193: INFO @log_profile : T read data: 1.178472 2019-11-18 14:13:51.193: INFO @log_profile : T hooks: 3.964018 2019-11-18 14:13:51.194: INFO @main_loop : Epoch 80 done 2019-11-18 14:13:51.194: INFO @main_loop : Training epoch 81 2019-11-18 14:14:12.047: INFO @log_variables: train precision: 0.906488 2019-11-18 14:14:12.047: INFO @log_variables: train recall: 0.901698 2019-11-18 14:14:12.047: INFO @log_variables: train f1: 0.903940 2019-11-18 14:14:12.047: INFO @log_variables: train accuracy mean: 0.907931 2019-11-18 14:14:12.047: INFO @log_variables: train loss mean: 0.249594 2019-11-18 14:14:12.047: INFO @log_variables: valid precision: 0.773965 2019-11-18 14:14:12.047: INFO @log_variables: valid recall: 0.768953 2019-11-18 14:14:12.047: INFO @log_variables: valid f1: 0.765879 2019-11-18 14:14:12.047: INFO @log_variables: valid accuracy mean: 0.783980 2019-11-18 14:14:12.047: INFO @log_variables: valid loss mean: 0.833307 2019-11-18 14:14:12.047: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:14:12.153: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:14:14.287: INFO @log_profile : T train: 17.594853 2019-11-18 14:14:14.287: INFO @log_profile : T valid: 0.965716 2019-11-18 14:14:14.287: INFO @log_profile : T read data: 0.670200 2019-11-18 14:14:14.287: INFO @log_profile : T hooks: 3.742763 2019-11-18 14:14:14.287: INFO @main_loop : Epoch 81 done 2019-11-18 14:14:14.287: INFO @main_loop : Training epoch 82 2019-11-18 14:14:35.061: INFO @log_variables: train precision: 0.908007 2019-11-18 14:14:35.061: INFO @log_variables: train recall: 0.903445 2019-11-18 14:14:35.061: INFO @log_variables: train f1: 0.905573 2019-11-18 14:14:35.061: INFO @log_variables: train accuracy mean: 0.908994 2019-11-18 14:14:35.061: INFO @log_variables: train loss mean: 0.245317 2019-11-18 14:14:35.061: INFO @log_variables: valid precision: 0.770843 2019-11-18 14:14:35.061: INFO @log_variables: valid recall: 0.736469 2019-11-18 14:14:35.062: INFO @log_variables: valid f1: 0.744243 2019-11-18 14:14:35.062: INFO @log_variables: valid accuracy mean: 0.763774 2019-11-18 14:14:35.062: INFO @log_variables: valid loss mean: 0.866755 2019-11-18 14:14:35.062: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:14:37.446: INFO @log_profile : T train: 17.568348 2019-11-18 14:14:37.447: INFO @log_profile : T valid: 0.918307 2019-11-18 14:14:37.447: INFO @log_profile : T read data: 0.632343 2019-11-18 14:14:37.447: INFO @log_profile : T hooks: 3.922055 2019-11-18 14:14:37.447: INFO @main_loop : Epoch 82 done 2019-11-18 14:14:37.447: INFO @main_loop : Training epoch 83 2019-11-18 14:14:58.389: INFO @log_variables: train precision: 0.909028 2019-11-18 14:14:58.389: INFO @log_variables: train recall: 0.905701 2019-11-18 14:14:58.389: INFO @log_variables: train f1: 0.907243 2019-11-18 14:14:58.389: INFO @log_variables: train accuracy mean: 0.910670 2019-11-18 14:14:58.389: INFO @log_variables: train loss mean: 0.243123 2019-11-18 14:14:58.389: INFO @log_variables: valid precision: 0.789553 2019-11-18 14:14:58.389: INFO @log_variables: valid recall: 0.753190 2019-11-18 14:14:58.389: INFO @log_variables: valid f1: 0.764286 2019-11-18 14:14:58.389: INFO @log_variables: valid accuracy mean: 0.783980 2019-11-18 14:14:58.390: INFO @log_variables: valid loss mean: 0.887235 2019-11-18 14:14:58.390: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:15:00.622: INFO @log_profile : T train: 17.576344 2019-11-18 14:15:00.622: INFO @log_profile : T valid: 0.928557 2019-11-18 14:15:00.622: INFO @log_profile : T read data: 0.732473 2019-11-18 14:15:00.622: INFO @log_profile : T hooks: 3.816867 2019-11-18 14:15:00.622: INFO @main_loop : Epoch 83 done 2019-11-18 14:15:00.623: INFO @main_loop : Training epoch 84 2019-11-18 14:15:21.625: INFO @log_variables: train precision: 0.910997 2019-11-18 14:15:21.625: INFO @log_variables: train recall: 0.906781 2019-11-18 14:15:21.625: INFO @log_variables: train f1: 0.908760 2019-11-18 14:15:21.625: INFO @log_variables: train accuracy mean: 0.911732 2019-11-18 14:15:21.625: INFO @log_variables: train loss mean: 0.238915 2019-11-18 14:15:21.625: INFO @log_variables: valid precision: 0.778198 2019-11-18 14:15:21.625: INFO @log_variables: valid recall: 0.757023 2019-11-18 14:15:21.625: INFO @log_variables: valid f1: 0.760240 2019-11-18 14:15:21.625: INFO @log_variables: valid accuracy mean: 0.779474 2019-11-18 14:15:21.625: INFO @log_variables: valid loss mean: 0.874686 2019-11-18 14:15:21.625: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:15:23.727: INFO @log_profile : T train: 17.659442 2019-11-18 14:15:23.727: INFO @log_profile : T valid: 0.977498 2019-11-18 14:15:23.727: INFO @log_profile : T read data: 0.737442 2019-11-18 14:15:23.727: INFO @log_profile : T hooks: 3.607655 2019-11-18 14:15:23.727: INFO @main_loop : Epoch 84 done 2019-11-18 14:15:23.727: INFO @main_loop : Training epoch 85 2019-11-18 14:15:44.562: INFO @log_variables: train precision: 0.910287 2019-11-18 14:15:44.562: INFO @log_variables: train recall: 0.906113 2019-11-18 14:15:44.562: INFO @log_variables: train f1: 0.908054 2019-11-18 14:15:44.562: INFO @log_variables: train accuracy mean: 0.911985 2019-11-18 14:15:44.562: INFO @log_variables: train loss mean: 0.238221 2019-11-18 14:15:44.563: INFO @log_variables: valid precision: 0.787662 2019-11-18 14:15:44.563: INFO @log_variables: valid recall: 0.734683 2019-11-18 14:15:44.563: INFO @log_variables: valid f1: 0.747337 2019-11-18 14:15:44.563: INFO @log_variables: valid accuracy mean: 0.772060 2019-11-18 14:15:44.563: INFO @log_variables: valid loss mean: 0.997782 2019-11-18 14:15:44.563: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:15:44.657: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_85.ckpt 2019-11-18 14:15:46.857: INFO @log_profile : T train: 17.584540 2019-11-18 14:15:46.857: INFO @log_profile : T valid: 0.930991 2019-11-18 14:15:46.857: INFO @log_profile : T read data: 0.686229 2019-11-18 14:15:46.857: INFO @log_profile : T hooks: 3.810408 2019-11-18 14:15:46.857: INFO @main_loop : Epoch 85 done 2019-11-18 14:15:46.857: INFO @main_loop : Training epoch 86 2019-11-18 14:16:07.900: INFO @log_variables: train precision: 0.912141 2019-11-18 14:16:07.900: INFO @log_variables: train recall: 0.908493 2019-11-18 14:16:07.900: INFO @log_variables: train f1: 0.910178 2019-11-18 14:16:07.900: INFO @log_variables: train accuracy mean: 0.913750 2019-11-18 14:16:07.900: INFO @log_variables: train loss mean: 0.237734 2019-11-18 14:16:07.900: INFO @log_variables: valid precision: 0.788668 2019-11-18 14:16:07.901: INFO @log_variables: valid recall: 0.731093 2019-11-18 14:16:07.901: INFO @log_variables: valid f1: 0.744959 2019-11-18 14:16:07.901: INFO @log_variables: valid accuracy mean: 0.774531 2019-11-18 14:16:07.901: INFO @log_variables: valid loss mean: 0.892782 2019-11-18 14:16:07.901: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:16:10.016: INFO @log_profile : T train: 17.674984 2019-11-18 14:16:10.016: INFO @log_profile : T valid: 0.919162 2019-11-18 14:16:10.016: INFO @log_profile : T read data: 0.728497 2019-11-18 14:16:10.016: INFO @log_profile : T hooks: 3.715739 2019-11-18 14:16:10.016: INFO @main_loop : Epoch 86 done 2019-11-18 14:16:10.016: INFO @main_loop : Training epoch 87 2019-11-18 14:16:30.414: INFO @log_variables: train precision: 0.910715 2019-11-18 14:16:30.414: INFO @log_variables: train recall: 0.906838 2019-11-18 14:16:30.414: INFO @log_variables: train f1: 0.908676 2019-11-18 14:16:30.414: INFO @log_variables: train accuracy mean: 0.912669 2019-11-18 14:16:30.414: INFO @log_variables: train loss mean: 0.232596 2019-11-18 14:16:30.414: INFO @log_variables: valid precision: 0.761349 2019-11-18 14:16:30.414: INFO @log_variables: valid recall: 0.770678 2019-11-18 14:16:30.414: INFO @log_variables: valid f1: 0.763023 2019-11-18 14:16:30.414: INFO @log_variables: valid accuracy mean: 0.782817 2019-11-18 14:16:30.414: INFO @log_variables: valid loss mean: 0.831071 2019-11-18 14:16:30.415: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:16:32.756: INFO @log_profile : T train: 17.273867 2019-11-18 14:16:32.756: INFO @log_profile : T valid: 0.881680 2019-11-18 14:16:32.757: INFO @log_profile : T read data: 0.641882 2019-11-18 14:16:32.757: INFO @log_profile : T hooks: 3.824096 2019-11-18 14:16:32.757: INFO @main_loop : Epoch 87 done 2019-11-18 14:16:32.757: INFO @main_loop : Training epoch 88 2019-11-18 14:16:53.232: INFO @log_variables: train precision: 0.915446 2019-11-18 14:16:53.233: INFO @log_variables: train recall: 0.911825 2019-11-18 14:16:53.233: INFO @log_variables: train f1: 0.913507 2019-11-18 14:16:53.233: INFO @log_variables: train accuracy mean: 0.916632 2019-11-18 14:16:53.233: INFO @log_variables: train loss mean: 0.228511 2019-11-18 14:16:53.233: INFO @log_variables: valid precision: 0.767341 2019-11-18 14:16:53.233: INFO @log_variables: valid recall: 0.741816 2019-11-18 14:16:53.233: INFO @log_variables: valid f1: 0.743973 2019-11-18 14:16:53.233: INFO @log_variables: valid accuracy mean: 0.773514 2019-11-18 14:16:53.233: INFO @log_variables: valid loss mean: 0.934780 2019-11-18 14:16:53.233: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:16:55.928: INFO @log_profile : T train: 17.346718 2019-11-18 14:16:55.928: INFO @log_profile : T valid: 0.869446 2019-11-18 14:16:55.928: INFO @log_profile : T read data: 0.665600 2019-11-18 14:16:55.928: INFO @log_profile : T hooks: 4.174436 2019-11-18 14:16:55.929: INFO @main_loop : Epoch 88 done 2019-11-18 14:16:55.929: INFO @main_loop : Training epoch 89 2019-11-18 14:17:16.763: INFO @log_variables: train precision: 0.915642 2019-11-18 14:17:16.764: INFO @log_variables: train recall: 0.911663 2019-11-18 14:17:16.764: INFO @log_variables: train f1: 0.913527 2019-11-18 14:17:16.764: INFO @log_variables: train accuracy mean: 0.916416 2019-11-18 14:17:16.764: INFO @log_variables: train loss mean: 0.227017 2019-11-18 14:17:16.764: INFO @log_variables: valid precision: 0.770624 2019-11-18 14:17:16.764: INFO @log_variables: valid recall: 0.746519 2019-11-18 14:17:16.764: INFO @log_variables: valid f1: 0.752229 2019-11-18 14:17:16.764: INFO @log_variables: valid accuracy mean: 0.770606 2019-11-18 14:17:16.764: INFO @log_variables: valid loss mean: 0.928431 2019-11-18 14:17:16.764: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:17:19.170: INFO @log_profile : T train: 17.642841 2019-11-18 14:17:19.171: INFO @log_profile : T valid: 0.916587 2019-11-18 14:17:19.171: INFO @log_profile : T read data: 0.677819 2019-11-18 14:17:19.171: INFO @log_profile : T hooks: 3.884687 2019-11-18 14:17:19.171: INFO @main_loop : Epoch 89 done 2019-11-18 14:17:19.171: INFO @main_loop : Training epoch 90 2019-11-18 14:17:39.775: INFO @log_variables: train precision: 0.917855 2019-11-18 14:17:39.775: INFO @log_variables: train recall: 0.913850 2019-11-18 14:17:39.775: INFO @log_variables: train f1: 0.915738 2019-11-18 14:17:39.775: INFO @log_variables: train accuracy mean: 0.918848 2019-11-18 14:17:39.775: INFO @log_variables: train loss mean: 0.222116 2019-11-18 14:17:39.775: INFO @log_variables: valid precision: 0.769793 2019-11-18 14:17:39.775: INFO @log_variables: valid recall: 0.735554 2019-11-18 14:17:39.775: INFO @log_variables: valid f1: 0.739649 2019-11-18 14:17:39.775: INFO @log_variables: valid accuracy mean: 0.762465 2019-11-18 14:17:39.775: INFO @log_variables: valid loss mean: 1.020413 2019-11-18 14:17:39.775: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:17:39.878: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_90.ckpt 2019-11-18 14:17:42.241: INFO @log_profile : T train: 17.451083 2019-11-18 14:17:42.241: INFO @log_profile : T valid: 0.925294 2019-11-18 14:17:42.241: INFO @log_profile : T read data: 0.615866 2019-11-18 14:17:42.241: INFO @log_profile : T hooks: 3.963373 2019-11-18 14:17:42.241: INFO @main_loop : Epoch 90 done 2019-11-18 14:17:42.242: INFO @main_loop : Training epoch 91 2019-11-18 14:18:03.014: INFO @log_variables: train precision: 0.915938 2019-11-18 14:18:03.014: INFO @log_variables: train recall: 0.912779 2019-11-18 14:18:03.014: INFO @log_variables: train f1: 0.914273 2019-11-18 14:18:03.014: INFO @log_variables: train accuracy mean: 0.917551 2019-11-18 14:18:03.014: INFO @log_variables: train loss mean: 0.222488 2019-11-18 14:18:03.014: INFO @log_variables: valid precision: 0.779765 2019-11-18 14:18:03.014: INFO @log_variables: valid recall: 0.741622 2019-11-18 14:18:03.014: INFO @log_variables: valid f1: 0.754172 2019-11-18 14:18:03.015: INFO @log_variables: valid accuracy mean: 0.770170 2019-11-18 14:18:03.015: INFO @log_variables: valid loss mean: 0.927875 2019-11-18 14:18:03.015: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:18:05.258: INFO @log_profile : T train: 17.495798 2019-11-18 14:18:05.258: INFO @log_profile : T valid: 0.926830 2019-11-18 14:18:05.258: INFO @log_profile : T read data: 0.698687 2019-11-18 14:18:05.258: INFO @log_profile : T hooks: 3.778224 2019-11-18 14:18:05.258: INFO @main_loop : Epoch 91 done 2019-11-18 14:18:05.259: INFO @main_loop : Training epoch 92 2019-11-18 14:18:26.268: INFO @log_variables: train precision: 0.916012 2019-11-18 14:18:26.268: INFO @log_variables: train recall: 0.912591 2019-11-18 14:18:26.268: INFO @log_variables: train f1: 0.914200 2019-11-18 14:18:26.268: INFO @log_variables: train accuracy mean: 0.917695 2019-11-18 14:18:26.268: INFO @log_variables: train loss mean: 0.222336 2019-11-18 14:18:26.268: INFO @log_variables: valid precision: 0.774462 2019-11-18 14:18:26.268: INFO @log_variables: valid recall: 0.741501 2019-11-18 14:18:26.268: INFO @log_variables: valid f1: 0.749255 2019-11-18 14:18:26.268: INFO @log_variables: valid accuracy mean: 0.775403 2019-11-18 14:18:26.268: INFO @log_variables: valid loss mean: 0.919708 2019-11-18 14:18:26.269: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:18:28.617: INFO @log_profile : T train: 17.696216 2019-11-18 14:18:28.618: INFO @log_profile : T valid: 0.902461 2019-11-18 14:18:28.618: INFO @log_profile : T read data: 0.714647 2019-11-18 14:18:28.618: INFO @log_profile : T hooks: 3.924197 2019-11-18 14:18:28.618: INFO @main_loop : Epoch 92 done 2019-11-18 14:18:28.618: INFO @main_loop : Training epoch 93 2019-11-18 14:18:49.382: INFO @log_variables: train precision: 0.918715 2019-11-18 14:18:49.382: INFO @log_variables: train recall: 0.915839 2019-11-18 14:18:49.382: INFO @log_variables: train f1: 0.917204 2019-11-18 14:18:49.383: INFO @log_variables: train accuracy mean: 0.920415 2019-11-18 14:18:49.383: INFO @log_variables: train loss mean: 0.217831 2019-11-18 14:18:49.383: INFO @log_variables: valid precision: 0.775029 2019-11-18 14:18:49.383: INFO @log_variables: valid recall: 0.740635 2019-11-18 14:18:49.383: INFO @log_variables: valid f1: 0.752191 2019-11-18 14:18:49.383: INFO @log_variables: valid accuracy mean: 0.769443 2019-11-18 14:18:49.383: INFO @log_variables: valid loss mean: 0.934266 2019-11-18 14:18:49.383: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:18:51.870: INFO @log_profile : T train: 17.525561 2019-11-18 14:18:51.870: INFO @log_profile : T valid: 0.920247 2019-11-18 14:18:51.870: INFO @log_profile : T read data: 0.654957 2019-11-18 14:18:51.870: INFO @log_profile : T hooks: 4.034026 2019-11-18 14:18:51.870: INFO @main_loop : Epoch 93 done 2019-11-18 14:18:51.870: INFO @main_loop : Training epoch 94 2019-11-18 14:19:12.988: INFO @log_variables: train precision: 0.920232 2019-11-18 14:19:12.988: INFO @log_variables: train recall: 0.916589 2019-11-18 14:19:12.988: INFO @log_variables: train f1: 0.918310 2019-11-18 14:19:12.988: INFO @log_variables: train accuracy mean: 0.920667 2019-11-18 14:19:12.989: INFO @log_variables: train loss mean: 0.217276 2019-11-18 14:19:12.989: INFO @log_variables: valid precision: 0.779405 2019-11-18 14:19:12.989: INFO @log_variables: valid recall: 0.733387 2019-11-18 14:19:12.989: INFO @log_variables: valid f1: 0.744983 2019-11-18 14:19:12.989: INFO @log_variables: valid accuracy mean: 0.769007 2019-11-18 14:19:12.989: INFO @log_variables: valid loss mean: 0.958829 2019-11-18 14:19:12.989: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:19:15.199: INFO @log_profile : T train: 17.749014 2019-11-18 14:19:15.200: INFO @log_profile : T valid: 0.952328 2019-11-18 14:19:15.200: INFO @log_profile : T read data: 0.730018 2019-11-18 14:19:15.200: INFO @log_profile : T hooks: 3.777740 2019-11-18 14:19:15.200: INFO @main_loop : Epoch 94 done 2019-11-18 14:19:15.200: INFO @main_loop : Training epoch 95 2019-11-18 14:19:36.197: INFO @log_variables: train precision: 0.920884 2019-11-18 14:19:36.197: INFO @log_variables: train recall: 0.917742 2019-11-18 14:19:36.197: INFO @log_variables: train f1: 0.919220 2019-11-18 14:19:36.197: INFO @log_variables: train accuracy mean: 0.922397 2019-11-18 14:19:36.197: INFO @log_variables: train loss mean: 0.213167 2019-11-18 14:19:36.197: INFO @log_variables: valid precision: 0.769573 2019-11-18 14:19:36.197: INFO @log_variables: valid recall: 0.754468 2019-11-18 14:19:36.197: INFO @log_variables: valid f1: 0.758617 2019-11-18 14:19:36.197: INFO @log_variables: valid accuracy mean: 0.781654 2019-11-18 14:19:36.197: INFO @log_variables: valid loss mean: 0.840693 2019-11-18 14:19:36.197: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:19:36.300: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_95.ckpt 2019-11-18 14:19:38.525: INFO @log_profile : T train: 17.694807 2019-11-18 14:19:38.525: INFO @log_profile : T valid: 0.932844 2019-11-18 14:19:38.525: INFO @log_profile : T read data: 0.680450 2019-11-18 14:19:38.525: INFO @log_profile : T hooks: 3.892734 2019-11-18 14:19:38.525: INFO @main_loop : Epoch 95 done 2019-11-18 14:19:38.525: INFO @main_loop : Training epoch 96 2019-11-18 14:19:59.391: INFO @log_variables: train precision: 0.922832 2019-11-18 14:19:59.391: INFO @log_variables: train recall: 0.919686 2019-11-18 14:19:59.392: INFO @log_variables: train f1: 0.921167 2019-11-18 14:19:59.392: INFO @log_variables: train accuracy mean: 0.923766 2019-11-18 14:19:59.392: INFO @log_variables: train loss mean: 0.206700 2019-11-18 14:19:59.392: INFO @log_variables: valid precision: 0.776435 2019-11-18 14:19:59.392: INFO @log_variables: valid recall: 0.750808 2019-11-18 14:19:59.392: INFO @log_variables: valid f1: 0.752074 2019-11-18 14:19:59.392: INFO @log_variables: valid accuracy mean: 0.777439 2019-11-18 14:19:59.392: INFO @log_variables: valid loss mean: 0.962670 2019-11-18 14:19:59.392: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:20:01.741: INFO @log_profile : T train: 17.536360 2019-11-18 14:20:01.741: INFO @log_profile : T valid: 0.973226 2019-11-18 14:20:01.741: INFO @log_profile : T read data: 0.677448 2019-11-18 14:20:01.741: INFO @log_profile : T hooks: 3.904210 2019-11-18 14:20:01.741: INFO @main_loop : Epoch 96 done 2019-11-18 14:20:01.741: INFO @main_loop : Training epoch 97 2019-11-18 14:20:22.422: INFO @log_variables: train precision: 0.921565 2019-11-18 14:20:22.422: INFO @log_variables: train recall: 0.919168 2019-11-18 14:20:22.422: INFO @log_variables: train f1: 0.920282 2019-11-18 14:20:22.422: INFO @log_variables: train accuracy mean: 0.924306 2019-11-18 14:20:22.422: INFO @log_variables: train loss mean: 0.206479 2019-11-18 14:20:22.422: INFO @log_variables: valid precision: 0.779637 2019-11-18 14:20:22.422: INFO @log_variables: valid recall: 0.752345 2019-11-18 14:20:22.422: INFO @log_variables: valid f1: 0.760271 2019-11-18 14:20:22.423: INFO @log_variables: valid accuracy mean: 0.780782 2019-11-18 14:20:22.423: INFO @log_variables: valid loss mean: 0.886211 2019-11-18 14:20:22.423: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:20:24.636: INFO @log_profile : T train: 17.344250 2019-11-18 14:20:24.636: INFO @log_profile : T valid: 0.939834 2019-11-18 14:20:24.636: INFO @log_profile : T read data: 0.674546 2019-11-18 14:20:24.636: INFO @log_profile : T hooks: 3.819764 2019-11-18 14:20:24.636: INFO @main_loop : Epoch 97 done 2019-11-18 14:20:24.636: INFO @main_loop : Training epoch 98 2019-11-18 14:20:45.144: INFO @log_variables: train precision: 0.920370 2019-11-18 14:20:45.144: INFO @log_variables: train recall: 0.917231 2019-11-18 14:20:45.145: INFO @log_variables: train f1: 0.918709 2019-11-18 14:20:45.145: INFO @log_variables: train accuracy mean: 0.921892 2019-11-18 14:20:45.145: INFO @log_variables: train loss mean: 0.210026 2019-11-18 14:20:45.145: INFO @log_variables: valid precision: 0.774612 2019-11-18 14:20:45.145: INFO @log_variables: valid recall: 0.746068 2019-11-18 14:20:45.145: INFO @log_variables: valid f1: 0.753105 2019-11-18 14:20:45.145: INFO @log_variables: valid accuracy mean: 0.776712 2019-11-18 14:20:45.145: INFO @log_variables: valid loss mean: 0.912234 2019-11-18 14:20:45.145: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:20:47.370: INFO @log_profile : T train: 17.211269 2019-11-18 14:20:47.370: INFO @log_profile : T valid: 0.891753 2019-11-18 14:20:47.371: INFO @log_profile : T read data: 0.689532 2019-11-18 14:20:47.371: INFO @log_profile : T hooks: 3.825576 2019-11-18 14:20:47.371: INFO @main_loop : Epoch 98 done 2019-11-18 14:20:47.371: INFO @main_loop : Training epoch 99 2019-11-18 14:21:08.062: INFO @log_variables: train precision: 0.922659 2019-11-18 14:21:08.062: INFO @log_variables: train recall: 0.920003 2019-11-18 14:21:08.063: INFO @log_variables: train f1: 0.921248 2019-11-18 14:21:08.063: INFO @log_variables: train accuracy mean: 0.924504 2019-11-18 14:21:08.063: INFO @log_variables: train loss mean: 0.204973 2019-11-18 14:21:08.063: INFO @log_variables: valid precision: 0.782076 2019-11-18 14:21:08.063: INFO @log_variables: valid recall: 0.745346 2019-11-18 14:21:08.063: INFO @log_variables: valid f1: 0.757064 2019-11-18 14:21:08.063: INFO @log_variables: valid accuracy mean: 0.775258 2019-11-18 14:21:08.063: INFO @log_variables: valid loss mean: 0.957974 2019-11-18 14:21:08.063: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:21:10.167: INFO @log_profile : T train: 17.501554 2019-11-18 14:21:10.167: INFO @log_profile : T valid: 0.928507 2019-11-18 14:21:10.167: INFO @log_profile : T read data: 0.604830 2019-11-18 14:21:10.167: INFO @log_profile : T hooks: 3.645834 2019-11-18 14:21:10.167: INFO @main_loop : Epoch 99 done 2019-11-18 14:21:10.167: INFO @main_loop : Training epoch 100 2019-11-18 14:21:31.071: INFO @log_variables: train precision: 0.925393 2019-11-18 14:21:31.072: INFO @log_variables: train recall: 0.921955 2019-11-18 14:21:31.072: INFO @log_variables: train f1: 0.923582 2019-11-18 14:21:31.072: INFO @log_variables: train accuracy mean: 0.926414 2019-11-18 14:21:31.072: INFO @log_variables: train loss mean: 0.200167 2019-11-18 14:21:31.072: INFO @log_variables: valid precision: 0.776565 2019-11-18 14:21:31.072: INFO @log_variables: valid recall: 0.737607 2019-11-18 14:21:31.072: INFO @log_variables: valid f1: 0.746471 2019-11-18 14:21:31.072: INFO @log_variables: valid accuracy mean: 0.777148 2019-11-18 14:21:31.072: INFO @log_variables: valid loss mean: 0.976485 2019-11-18 14:21:31.072: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:21:31.171: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_100.ckpt 2019-11-18 14:21:33.795: INFO @log_profile : T train: 17.527214 2019-11-18 14:21:33.795: INFO @log_profile : T valid: 0.934328 2019-11-18 14:21:33.795: INFO @log_profile : T read data: 0.700256 2019-11-18 14:21:33.795: INFO @log_profile : T hooks: 4.347197 2019-11-18 14:21:33.795: INFO @main_loop : Epoch 100 done 2019-11-18 14:21:33.795: INFO @main_loop : Training epoch 101 2019-11-18 14:21:54.804: INFO @log_variables: train precision: 0.924411 2019-11-18 14:21:54.805: INFO @log_variables: train recall: 0.921852 2019-11-18 14:21:54.805: INFO @log_variables: train f1: 0.923056 2019-11-18 14:21:54.805: INFO @log_variables: train accuracy mean: 0.926161 2019-11-18 14:21:54.805: INFO @log_variables: train loss mean: 0.200181 2019-11-18 14:21:54.805: INFO @log_variables: valid precision: 0.773087 2019-11-18 14:21:54.805: INFO @log_variables: valid recall: 0.737298 2019-11-18 14:21:54.805: INFO @log_variables: valid f1: 0.744734 2019-11-18 14:21:54.805: INFO @log_variables: valid accuracy mean: 0.775840 2019-11-18 14:21:54.805: INFO @log_variables: valid loss mean: 0.976146 2019-11-18 14:21:54.805: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:21:56.831: INFO @log_profile : T train: 17.594986 2019-11-18 14:21:56.831: INFO @log_profile : T valid: 0.967181 2019-11-18 14:21:56.831: INFO @log_profile : T read data: 0.723142 2019-11-18 14:21:56.831: INFO @log_profile : T hooks: 3.632266 2019-11-18 14:21:56.831: INFO @main_loop : Epoch 101 done 2019-11-18 14:21:56.831: INFO @main_loop : Training epoch 102 2019-11-18 14:22:17.600: INFO @log_variables: train precision: 0.923608 2019-11-18 14:22:17.600: INFO @log_variables: train recall: 0.921069 2019-11-18 14:22:17.601: INFO @log_variables: train f1: 0.922276 2019-11-18 14:22:17.601: INFO @log_variables: train accuracy mean: 0.925513 2019-11-18 14:22:17.601: INFO @log_variables: train loss mean: 0.202404 2019-11-18 14:22:17.601: INFO @log_variables: valid precision: 0.796763 2019-11-18 14:22:17.601: INFO @log_variables: valid recall: 0.730688 2019-11-18 14:22:17.601: INFO @log_variables: valid f1: 0.749467 2019-11-18 14:22:17.601: INFO @log_variables: valid accuracy mean: 0.777729 2019-11-18 14:22:17.601: INFO @log_variables: valid loss mean: 1.033523 2019-11-18 14:22:17.601: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:22:20.103: INFO @log_profile : T train: 17.470863 2019-11-18 14:22:20.103: INFO @log_profile : T valid: 0.882644 2019-11-18 14:22:20.103: INFO @log_profile : T read data: 0.732438 2019-11-18 14:22:20.103: INFO @log_profile : T hooks: 4.069395 2019-11-18 14:22:20.103: INFO @main_loop : Epoch 102 done 2019-11-18 14:22:20.103: INFO @main_loop : Training epoch 103 2019-11-18 14:22:40.895: INFO @log_variables: train precision: 0.926975 2019-11-18 14:22:40.895: INFO @log_variables: train recall: 0.924182 2019-11-18 14:22:40.895: INFO @log_variables: train f1: 0.925516 2019-11-18 14:22:40.895: INFO @log_variables: train accuracy mean: 0.929008 2019-11-18 14:22:40.895: INFO @log_variables: train loss mean: 0.193927 2019-11-18 14:22:40.895: INFO @log_variables: valid precision: 0.780305 2019-11-18 14:22:40.895: INFO @log_variables: valid recall: 0.759756 2019-11-18 14:22:40.895: INFO @log_variables: valid f1: 0.767003 2019-11-18 14:22:40.895: INFO @log_variables: valid accuracy mean: 0.784562 2019-11-18 14:22:40.895: INFO @log_variables: valid loss mean: 0.910931 2019-11-18 14:22:40.896: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:22:41.004: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:22:43.256: INFO @log_profile : T train: 17.496618 2019-11-18 14:22:43.257: INFO @log_profile : T valid: 0.858365 2019-11-18 14:22:43.257: INFO @log_profile : T read data: 0.728314 2019-11-18 14:22:43.257: INFO @log_profile : T hooks: 3.947476 2019-11-18 14:22:43.257: INFO @main_loop : Epoch 103 done 2019-11-18 14:22:43.257: INFO @main_loop : Training epoch 104 2019-11-18 14:23:04.052: INFO @log_variables: train precision: 0.925012 2019-11-18 14:23:04.053: INFO @log_variables: train recall: 0.922589 2019-11-18 14:23:04.053: INFO @log_variables: train f1: 0.923742 2019-11-18 14:23:04.053: INFO @log_variables: train accuracy mean: 0.927567 2019-11-18 14:23:04.053: INFO @log_variables: train loss mean: 0.196491 2019-11-18 14:23:04.053: INFO @log_variables: valid precision: 0.778064 2019-11-18 14:23:04.053: INFO @log_variables: valid recall: 0.757980 2019-11-18 14:23:04.053: INFO @log_variables: valid f1: 0.763855 2019-11-18 14:23:04.053: INFO @log_variables: valid accuracy mean: 0.779328 2019-11-18 14:23:04.053: INFO @log_variables: valid loss mean: 0.887325 2019-11-18 14:23:04.053: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:23:06.366: INFO @log_profile : T train: 17.551896 2019-11-18 14:23:06.367: INFO @log_profile : T valid: 0.925487 2019-11-18 14:23:06.367: INFO @log_profile : T read data: 0.677880 2019-11-18 14:23:06.367: INFO @log_profile : T hooks: 3.839309 2019-11-18 14:23:06.367: INFO @main_loop : Epoch 104 done 2019-11-18 14:23:06.367: INFO @main_loop : Training epoch 105 2019-11-18 14:23:27.104: INFO @log_variables: train precision: 0.928838 2019-11-18 14:23:27.104: INFO @log_variables: train recall: 0.925274 2019-11-18 14:23:27.104: INFO @log_variables: train f1: 0.926963 2019-11-18 14:23:27.104: INFO @log_variables: train accuracy mean: 0.929656 2019-11-18 14:23:27.105: INFO @log_variables: train loss mean: 0.192821 2019-11-18 14:23:27.105: INFO @log_variables: valid precision: 0.771698 2019-11-18 14:23:27.105: INFO @log_variables: valid recall: 0.739626 2019-11-18 14:23:27.105: INFO @log_variables: valid f1: 0.738154 2019-11-18 14:23:27.105: INFO @log_variables: valid accuracy mean: 0.768135 2019-11-18 14:23:27.105: INFO @log_variables: valid loss mean: 0.975052 2019-11-18 14:23:27.105: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:23:27.191: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_105.ckpt 2019-11-18 14:23:29.491: INFO @log_profile : T train: 17.377596 2019-11-18 14:23:29.491: INFO @log_profile : T valid: 0.929996 2019-11-18 14:23:29.491: INFO @log_profile : T read data: 0.696152 2019-11-18 14:23:29.491: INFO @log_profile : T hooks: 4.001543 2019-11-18 14:23:29.492: INFO @main_loop : Epoch 105 done 2019-11-18 14:23:29.492: INFO @main_loop : Training epoch 106 2019-11-18 14:23:50.354: INFO @log_variables: train precision: 0.927994 2019-11-18 14:23:50.354: INFO @log_variables: train recall: 0.925343 2019-11-18 14:23:50.355: INFO @log_variables: train f1: 0.926603 2019-11-18 14:23:50.355: INFO @log_variables: train accuracy mean: 0.929944 2019-11-18 14:23:50.355: INFO @log_variables: train loss mean: 0.192318 2019-11-18 14:23:50.355: INFO @log_variables: valid precision: 0.780303 2019-11-18 14:23:50.355: INFO @log_variables: valid recall: 0.726348 2019-11-18 14:23:50.355: INFO @log_variables: valid f1: 0.743616 2019-11-18 14:23:50.355: INFO @log_variables: valid accuracy mean: 0.766100 2019-11-18 14:23:50.355: INFO @log_variables: valid loss mean: 1.109353 2019-11-18 14:23:50.355: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:23:52.835: INFO @log_profile : T train: 17.543876 2019-11-18 14:23:52.835: INFO @log_profile : T valid: 0.913944 2019-11-18 14:23:52.835: INFO @log_profile : T read data: 0.683344 2019-11-18 14:23:52.835: INFO @log_profile : T hooks: 4.084303 2019-11-18 14:23:52.835: INFO @main_loop : Epoch 106 done 2019-11-18 14:23:52.835: INFO @main_loop : Training epoch 107 2019-11-18 14:24:13.544: INFO @log_variables: train precision: 0.928070 2019-11-18 14:24:13.544: INFO @log_variables: train recall: 0.924470 2019-11-18 14:24:13.544: INFO @log_variables: train f1: 0.926183 2019-11-18 14:24:13.544: INFO @log_variables: train accuracy mean: 0.929512 2019-11-18 14:24:13.544: INFO @log_variables: train loss mean: 0.192651 2019-11-18 14:24:13.544: INFO @log_variables: valid precision: 0.768275 2019-11-18 14:24:13.544: INFO @log_variables: valid recall: 0.744988 2019-11-18 14:24:13.544: INFO @log_variables: valid f1: 0.746222 2019-11-18 14:24:13.544: INFO @log_variables: valid accuracy mean: 0.765809 2019-11-18 14:24:13.544: INFO @log_variables: valid loss mean: 1.082735 2019-11-18 14:24:13.544: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:24:15.856: INFO @log_profile : T train: 17.475919 2019-11-18 14:24:15.856: INFO @log_profile : T valid: 0.915971 2019-11-18 14:24:15.856: INFO @log_profile : T read data: 0.716992 2019-11-18 14:24:15.856: INFO @log_profile : T hooks: 3.794928 2019-11-18 14:24:15.856: INFO @main_loop : Epoch 107 done 2019-11-18 14:24:15.856: INFO @main_loop : Training epoch 108 2019-11-18 14:24:36.742: INFO @log_variables: train precision: 0.929686 2019-11-18 14:24:36.742: INFO @log_variables: train recall: 0.927427 2019-11-18 14:24:36.742: INFO @log_variables: train f1: 0.928494 2019-11-18 14:24:36.742: INFO @log_variables: train accuracy mean: 0.932610 2019-11-18 14:24:36.742: INFO @log_variables: train loss mean: 0.191054 2019-11-18 14:24:36.743: INFO @log_variables: valid precision: 0.756611 2019-11-18 14:24:36.743: INFO @log_variables: valid recall: 0.752128 2019-11-18 14:24:36.743: INFO @log_variables: valid f1: 0.747532 2019-11-18 14:24:36.743: INFO @log_variables: valid accuracy mean: 0.774095 2019-11-18 14:24:36.743: INFO @log_variables: valid loss mean: 0.919288 2019-11-18 14:24:36.743: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:24:39.561: INFO @log_profile : T train: 17.567686 2019-11-18 14:24:39.562: INFO @log_profile : T valid: 0.894818 2019-11-18 14:24:39.562: INFO @log_profile : T read data: 0.675591 2019-11-18 14:24:39.562: INFO @log_profile : T hooks: 4.447686 2019-11-18 14:24:39.562: INFO @main_loop : Epoch 108 done 2019-11-18 14:24:39.562: INFO @main_loop : Training epoch 109 2019-11-18 14:25:00.551: INFO @log_variables: train precision: 0.928483 2019-11-18 14:25:00.551: INFO @log_variables: train recall: 0.925902 2019-11-18 14:25:00.551: INFO @log_variables: train f1: 0.927140 2019-11-18 14:25:00.551: INFO @log_variables: train accuracy mean: 0.930305 2019-11-18 14:25:00.551: INFO @log_variables: train loss mean: 0.188593 2019-11-18 14:25:00.551: INFO @log_variables: valid precision: 0.787905 2019-11-18 14:25:00.551: INFO @log_variables: valid recall: 0.761981 2019-11-18 14:25:00.551: INFO @log_variables: valid f1: 0.763761 2019-11-18 14:25:00.551: INFO @log_variables: valid accuracy mean: 0.787469 2019-11-18 14:25:00.551: INFO @log_variables: valid loss mean: 1.018086 2019-11-18 14:25:00.552: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:25:02.856: INFO @log_profile : T train: 17.635348 2019-11-18 14:25:02.856: INFO @log_profile : T valid: 0.927844 2019-11-18 14:25:02.856: INFO @log_profile : T read data: 0.763756 2019-11-18 14:25:02.856: INFO @log_profile : T hooks: 3.848691 2019-11-18 14:25:02.856: INFO @main_loop : Epoch 109 done 2019-11-18 14:25:02.856: INFO @main_loop : Training epoch 110 2019-11-18 14:25:23.888: INFO @log_variables: train precision: 0.931607 2019-11-18 14:25:23.889: INFO @log_variables: train recall: 0.929637 2019-11-18 14:25:23.889: INFO @log_variables: train f1: 0.930578 2019-11-18 14:25:23.889: INFO @log_variables: train accuracy mean: 0.933943 2019-11-18 14:25:23.889: INFO @log_variables: train loss mean: 0.181178 2019-11-18 14:25:23.889: INFO @log_variables: valid precision: 0.759439 2019-11-18 14:25:23.889: INFO @log_variables: valid recall: 0.752773 2019-11-18 14:25:23.889: INFO @log_variables: valid f1: 0.747132 2019-11-18 14:25:23.889: INFO @log_variables: valid accuracy mean: 0.770606 2019-11-18 14:25:23.889: INFO @log_variables: valid loss mean: 1.032229 2019-11-18 14:25:23.900: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:25:24.033: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_110.ckpt 2019-11-18 14:25:26.427: INFO @log_profile : T train: 17.693705 2019-11-18 14:25:26.427: INFO @log_profile : T valid: 0.880966 2019-11-18 14:25:26.427: INFO @log_profile : T read data: 0.705128 2019-11-18 14:25:26.427: INFO @log_profile : T hooks: 4.167894 2019-11-18 14:25:26.427: INFO @main_loop : Epoch 110 done 2019-11-18 14:25:26.427: INFO @main_loop : Training epoch 111 2019-11-18 14:25:47.400: INFO @log_variables: train precision: 0.932762 2019-11-18 14:25:47.400: INFO @log_variables: train recall: 0.929806 2019-11-18 14:25:47.400: INFO @log_variables: train f1: 0.931211 2019-11-18 14:25:47.400: INFO @log_variables: train accuracy mean: 0.934520 2019-11-18 14:25:47.401: INFO @log_variables: train loss mean: 0.181351 2019-11-18 14:25:47.401: INFO @log_variables: valid precision: 0.795766 2019-11-18 14:25:47.401: INFO @log_variables: valid recall: 0.749644 2019-11-18 14:25:47.401: INFO @log_variables: valid f1: 0.761856 2019-11-18 14:25:47.401: INFO @log_variables: valid accuracy mean: 0.783253 2019-11-18 14:25:47.401: INFO @log_variables: valid loss mean: 1.027144 2019-11-18 14:25:47.401: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:25:50.014: INFO @log_profile : T train: 17.604280 2019-11-18 14:25:50.014: INFO @log_profile : T valid: 0.954396 2019-11-18 14:25:50.014: INFO @log_profile : T read data: 0.728584 2019-11-18 14:25:50.014: INFO @log_profile : T hooks: 4.178717 2019-11-18 14:25:50.014: INFO @main_loop : Epoch 111 done 2019-11-18 14:25:50.015: INFO @main_loop : Training epoch 112 2019-11-18 14:26:10.905: INFO @log_variables: train precision: 0.930175 2019-11-18 14:26:10.905: INFO @log_variables: train recall: 0.927554 2019-11-18 14:26:10.905: INFO @log_variables: train f1: 0.928807 2019-11-18 14:26:10.905: INFO @log_variables: train accuracy mean: 0.932160 2019-11-18 14:26:10.905: INFO @log_variables: train loss mean: 0.183579 2019-11-18 14:26:10.905: INFO @log_variables: valid precision: 0.776586 2019-11-18 14:26:10.906: INFO @log_variables: valid recall: 0.744504 2019-11-18 14:26:10.906: INFO @log_variables: valid f1: 0.748117 2019-11-18 14:26:10.906: INFO @log_variables: valid accuracy mean: 0.777875 2019-11-18 14:26:10.906: INFO @log_variables: valid loss mean: 1.009746 2019-11-18 14:26:10.906: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:26:13.490: INFO @log_profile : T train: 17.515494 2019-11-18 14:26:13.490: INFO @log_profile : T valid: 0.918050 2019-11-18 14:26:13.490: INFO @log_profile : T read data: 0.741613 2019-11-18 14:26:13.490: INFO @log_profile : T hooks: 4.178825 2019-11-18 14:26:13.491: INFO @main_loop : Epoch 112 done 2019-11-18 14:26:13.491: INFO @main_loop : Training epoch 113 2019-11-18 14:26:34.335: INFO @log_variables: train precision: 0.932363 2019-11-18 14:26:34.335: INFO @log_variables: train recall: 0.929609 2019-11-18 14:26:34.335: INFO @log_variables: train f1: 0.930906 2019-11-18 14:26:34.335: INFO @log_variables: train accuracy mean: 0.933601 2019-11-18 14:26:34.335: INFO @log_variables: train loss mean: 0.180981 2019-11-18 14:26:34.335: INFO @log_variables: valid precision: 0.763522 2019-11-18 14:26:34.335: INFO @log_variables: valid recall: 0.747037 2019-11-18 14:26:34.335: INFO @log_variables: valid f1: 0.745866 2019-11-18 14:26:34.335: INFO @log_variables: valid accuracy mean: 0.777439 2019-11-18 14:26:34.336: INFO @log_variables: valid loss mean: 0.993244 2019-11-18 14:26:34.336: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:26:36.501: INFO @log_profile : T train: 17.515204 2019-11-18 14:26:36.501: INFO @log_profile : T valid: 0.918449 2019-11-18 14:26:36.501: INFO @log_profile : T read data: 0.667535 2019-11-18 14:26:36.501: INFO @log_profile : T hooks: 3.791819 2019-11-18 14:26:36.501: INFO @main_loop : Epoch 113 done 2019-11-18 14:26:36.501: INFO @main_loop : Training epoch 114 2019-11-18 14:26:57.206: INFO @log_variables: train precision: 0.932523 2019-11-18 14:26:57.206: INFO @log_variables: train recall: 0.930364 2019-11-18 14:26:57.206: INFO @log_variables: train f1: 0.931406 2019-11-18 14:26:57.207: INFO @log_variables: train accuracy mean: 0.933655 2019-11-18 14:26:57.207: INFO @log_variables: train loss mean: 0.182498 2019-11-18 14:26:57.207: INFO @log_variables: valid precision: 0.763987 2019-11-18 14:26:57.207: INFO @log_variables: valid recall: 0.738192 2019-11-18 14:26:57.207: INFO @log_variables: valid f1: 0.745823 2019-11-18 14:26:57.207: INFO @log_variables: valid accuracy mean: 0.764791 2019-11-18 14:26:57.207: INFO @log_variables: valid loss mean: 0.992599 2019-11-18 14:26:57.207: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:26:59.607: INFO @log_profile : T train: 17.331008 2019-11-18 14:26:59.607: INFO @log_profile : T valid: 0.902417 2019-11-18 14:26:59.607: INFO @log_profile : T read data: 0.720732 2019-11-18 14:26:59.607: INFO @log_profile : T hooks: 4.001689 2019-11-18 14:26:59.607: INFO @main_loop : Epoch 114 done 2019-11-18 14:26:59.607: INFO @main_loop : Training epoch 115 2019-11-18 14:27:20.581: INFO @log_variables: train precision: 0.933135 2019-11-18 14:27:20.581: INFO @log_variables: train recall: 0.930625 2019-11-18 14:27:20.581: INFO @log_variables: train f1: 0.931819 2019-11-18 14:27:20.581: INFO @log_variables: train accuracy mean: 0.935132 2019-11-18 14:27:20.581: INFO @log_variables: train loss mean: 0.178487 2019-11-18 14:27:20.581: INFO @log_variables: valid precision: 0.773243 2019-11-18 14:27:20.581: INFO @log_variables: valid recall: 0.747563 2019-11-18 14:27:20.581: INFO @log_variables: valid f1: 0.752331 2019-11-18 14:27:20.581: INFO @log_variables: valid accuracy mean: 0.777875 2019-11-18 14:27:20.581: INFO @log_variables: valid loss mean: 0.910523 2019-11-18 14:27:20.582: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:27:20.672: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_115.ckpt 2019-11-18 14:27:22.939: INFO @log_profile : T train: 17.715095 2019-11-18 14:27:22.939: INFO @log_profile : T valid: 0.915746 2019-11-18 14:27:22.939: INFO @log_profile : T read data: 0.670436 2019-11-18 14:27:22.939: INFO @log_profile : T hooks: 3.914455 2019-11-18 14:27:22.939: INFO @main_loop : Epoch 115 done 2019-11-18 14:27:22.939: INFO @main_loop : Training epoch 116 2019-11-18 14:27:43.718: INFO @log_variables: train precision: 0.933572 2019-11-18 14:27:43.718: INFO @log_variables: train recall: 0.931086 2019-11-18 14:27:43.718: INFO @log_variables: train f1: 0.932266 2019-11-18 14:27:43.719: INFO @log_variables: train accuracy mean: 0.935348 2019-11-18 14:27:43.719: INFO @log_variables: train loss mean: 0.176459 2019-11-18 14:27:43.719: INFO @log_variables: valid precision: 0.794152 2019-11-18 14:27:43.719: INFO @log_variables: valid recall: 0.738046 2019-11-18 14:27:43.719: INFO @log_variables: valid f1: 0.754423 2019-11-18 14:27:43.719: INFO @log_variables: valid accuracy mean: 0.778311 2019-11-18 14:27:43.719: INFO @log_variables: valid loss mean: 1.192005 2019-11-18 14:27:43.719: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:27:46.273: INFO @log_profile : T train: 17.518317 2019-11-18 14:27:46.273: INFO @log_profile : T valid: 0.910708 2019-11-18 14:27:46.273: INFO @log_profile : T read data: 0.624707 2019-11-18 14:27:46.273: INFO @log_profile : T hooks: 4.164147 2019-11-18 14:27:46.273: INFO @main_loop : Epoch 116 done 2019-11-18 14:27:46.273: INFO @main_loop : Training epoch 117 2019-11-18 14:28:07.149: INFO @log_variables: train precision: 0.933652 2019-11-18 14:28:07.149: INFO @log_variables: train recall: 0.931688 2019-11-18 14:28:07.149: INFO @log_variables: train f1: 0.932618 2019-11-18 14:28:07.150: INFO @log_variables: train accuracy mean: 0.935529 2019-11-18 14:28:07.150: INFO @log_variables: train loss mean: 0.177126 2019-11-18 14:28:07.150: INFO @log_variables: valid precision: 0.774839 2019-11-18 14:28:07.150: INFO @log_variables: valid recall: 0.752934 2019-11-18 14:28:07.150: INFO @log_variables: valid f1: 0.756550 2019-11-18 14:28:07.150: INFO @log_variables: valid accuracy mean: 0.782963 2019-11-18 14:28:07.150: INFO @log_variables: valid loss mean: 0.950118 2019-11-18 14:28:07.150: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:28:09.369: INFO @log_profile : T train: 17.502400 2019-11-18 14:28:09.369: INFO @log_profile : T valid: 0.930442 2019-11-18 14:28:09.369: INFO @log_profile : T read data: 0.721562 2019-11-18 14:28:09.370: INFO @log_profile : T hooks: 3.805392 2019-11-18 14:28:09.370: INFO @main_loop : Epoch 117 done 2019-11-18 14:28:09.370: INFO @main_loop : Training epoch 118 2019-11-18 14:28:30.251: INFO @log_variables: train precision: 0.935904 2019-11-18 14:28:30.251: INFO @log_variables: train recall: 0.933744 2019-11-18 14:28:30.251: INFO @log_variables: train f1: 0.934767 2019-11-18 14:28:30.251: INFO @log_variables: train accuracy mean: 0.937150 2019-11-18 14:28:30.251: INFO @log_variables: train loss mean: 0.170919 2019-11-18 14:28:30.251: INFO @log_variables: valid precision: 0.768629 2019-11-18 14:28:30.252: INFO @log_variables: valid recall: 0.752335 2019-11-18 14:28:30.252: INFO @log_variables: valid f1: 0.758022 2019-11-18 14:28:30.252: INFO @log_variables: valid accuracy mean: 0.775113 2019-11-18 14:28:30.252: INFO @log_variables: valid loss mean: 0.973837 2019-11-18 14:28:30.252: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:28:32.641: INFO @log_profile : T train: 17.611909 2019-11-18 14:28:32.641: INFO @log_profile : T valid: 0.936510 2019-11-18 14:28:32.641: INFO @log_profile : T read data: 0.694009 2019-11-18 14:28:32.641: INFO @log_profile : T hooks: 3.911994 2019-11-18 14:28:32.641: INFO @main_loop : Epoch 118 done 2019-11-18 14:28:32.641: INFO @main_loop : Training epoch 119 2019-11-18 14:28:53.695: INFO @log_variables: train precision: 0.937938 2019-11-18 14:28:53.695: INFO @log_variables: train recall: 0.934884 2019-11-18 14:28:53.695: INFO @log_variables: train f1: 0.936349 2019-11-18 14:28:53.695: INFO @log_variables: train accuracy mean: 0.939726 2019-11-18 14:28:53.695: INFO @log_variables: train loss mean: 0.164894 2019-11-18 14:28:53.695: INFO @log_variables: valid precision: 0.791970 2019-11-18 14:28:53.695: INFO @log_variables: valid recall: 0.745366 2019-11-18 14:28:53.695: INFO @log_variables: valid f1: 0.759780 2019-11-18 14:28:53.695: INFO @log_variables: valid accuracy mean: 0.783544 2019-11-18 14:28:53.695: INFO @log_variables: valid loss mean: 1.026885 2019-11-18 14:28:53.695: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:28:56.222: INFO @log_profile : T train: 17.672158 2019-11-18 14:28:56.222: INFO @log_profile : T valid: 0.918515 2019-11-18 14:28:56.222: INFO @log_profile : T read data: 0.708245 2019-11-18 14:28:56.222: INFO @log_profile : T hooks: 4.163274 2019-11-18 14:28:56.222: INFO @main_loop : Epoch 119 done 2019-11-18 14:28:56.222: INFO @main_loop : Training epoch 120 2019-11-18 14:29:17.240: INFO @log_variables: train precision: 0.935880 2019-11-18 14:29:17.240: INFO @log_variables: train recall: 0.933537 2019-11-18 14:29:17.240: INFO @log_variables: train f1: 0.934653 2019-11-18 14:29:17.240: INFO @log_variables: train accuracy mean: 0.937960 2019-11-18 14:29:17.240: INFO @log_variables: train loss mean: 0.170331 2019-11-18 14:29:17.240: INFO @log_variables: valid precision: 0.778195 2019-11-18 14:29:17.240: INFO @log_variables: valid recall: 0.755654 2019-11-18 14:29:17.240: INFO @log_variables: valid f1: 0.762740 2019-11-18 14:29:17.240: INFO @log_variables: valid accuracy mean: 0.785870 2019-11-18 14:29:17.240: INFO @log_variables: valid loss mean: 0.889358 2019-11-18 14:29:17.241: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:29:17.337: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_120.ckpt 2019-11-18 14:29:19.780: INFO @log_profile : T train: 17.655960 2019-11-18 14:29:19.780: INFO @log_profile : T valid: 0.948821 2019-11-18 14:29:19.780: INFO @log_profile : T read data: 0.677605 2019-11-18 14:29:19.780: INFO @log_profile : T hooks: 4.156735 2019-11-18 14:29:19.780: INFO @main_loop : Epoch 120 done 2019-11-18 14:29:19.780: INFO @main_loop : Training epoch 121 2019-11-18 14:29:40.594: INFO @log_variables: train precision: 0.936958 2019-11-18 14:29:40.594: INFO @log_variables: train recall: 0.933849 2019-11-18 14:29:40.595: INFO @log_variables: train f1: 0.935326 2019-11-18 14:29:40.595: INFO @log_variables: train accuracy mean: 0.938069 2019-11-18 14:29:40.595: INFO @log_variables: train loss mean: 0.168808 2019-11-18 14:29:40.595: INFO @log_variables: valid precision: 0.784080 2019-11-18 14:29:40.595: INFO @log_variables: valid recall: 0.730344 2019-11-18 14:29:40.595: INFO @log_variables: valid f1: 0.739667 2019-11-18 14:29:40.595: INFO @log_variables: valid accuracy mean: 0.770752 2019-11-18 14:29:40.595: INFO @log_variables: valid loss mean: 1.219451 2019-11-18 14:29:40.595: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:29:43.036: INFO @log_profile : T train: 17.498686 2019-11-18 14:29:43.036: INFO @log_profile : T valid: 0.895689 2019-11-18 14:29:43.037: INFO @log_profile : T read data: 0.686079 2019-11-18 14:29:43.037: INFO @log_profile : T hooks: 4.055214 2019-11-18 14:29:43.037: INFO @main_loop : Epoch 121 done 2019-11-18 14:29:43.037: INFO @main_loop : Training epoch 122 2019-11-18 14:30:03.772: INFO @log_variables: train precision: 0.937433 2019-11-18 14:30:03.772: INFO @log_variables: train recall: 0.935019 2019-11-18 14:30:03.772: INFO @log_variables: train f1: 0.936161 2019-11-18 14:30:03.772: INFO @log_variables: train accuracy mean: 0.939744 2019-11-18 14:30:03.772: INFO @log_variables: train loss mean: 0.166022 2019-11-18 14:30:03.772: INFO @log_variables: valid precision: 0.778289 2019-11-18 14:30:03.772: INFO @log_variables: valid recall: 0.758908 2019-11-18 14:30:03.772: INFO @log_variables: valid f1: 0.764386 2019-11-18 14:30:03.772: INFO @log_variables: valid accuracy mean: 0.783689 2019-11-18 14:30:03.772: INFO @log_variables: valid loss mean: 1.030828 2019-11-18 14:30:03.772: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:30:06.086: INFO @log_profile : T train: 17.437374 2019-11-18 14:30:06.086: INFO @log_profile : T valid: 0.878310 2019-11-18 14:30:06.086: INFO @log_profile : T read data: 0.665631 2019-11-18 14:30:06.087: INFO @log_profile : T hooks: 3.947677 2019-11-18 14:30:06.087: INFO @main_loop : Epoch 122 done 2019-11-18 14:30:06.087: INFO @main_loop : Training epoch 123 2019-11-18 14:30:26.938: INFO @log_variables: train precision: 0.937667 2019-11-18 14:30:26.938: INFO @log_variables: train recall: 0.935618 2019-11-18 14:30:26.938: INFO @log_variables: train f1: 0.936591 2019-11-18 14:30:26.938: INFO @log_variables: train accuracy mean: 0.939420 2019-11-18 14:30:26.938: INFO @log_variables: train loss mean: 0.166260 2019-11-18 14:30:26.939: INFO @log_variables: valid precision: 0.784830 2019-11-18 14:30:26.939: INFO @log_variables: valid recall: 0.735412 2019-11-18 14:30:26.939: INFO @log_variables: valid f1: 0.746125 2019-11-18 14:30:26.939: INFO @log_variables: valid accuracy mean: 0.774967 2019-11-18 14:30:26.939: INFO @log_variables: valid loss mean: 0.985165 2019-11-18 14:30:26.939: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:30:29.394: INFO @log_profile : T train: 17.564443 2019-11-18 14:30:29.394: INFO @log_profile : T valid: 0.914738 2019-11-18 14:30:29.394: INFO @log_profile : T read data: 0.653793 2019-11-18 14:30:29.394: INFO @log_profile : T hooks: 4.057299 2019-11-18 14:30:29.394: INFO @main_loop : Epoch 123 done 2019-11-18 14:30:29.394: INFO @main_loop : Training epoch 124 2019-11-18 14:30:50.219: INFO @log_variables: train precision: 0.938943 2019-11-18 14:30:50.220: INFO @log_variables: train recall: 0.937329 2019-11-18 14:30:50.220: INFO @log_variables: train f1: 0.938089 2019-11-18 14:30:50.220: INFO @log_variables: train accuracy mean: 0.940861 2019-11-18 14:30:50.220: INFO @log_variables: train loss mean: 0.163402 2019-11-18 14:30:50.220: INFO @log_variables: valid precision: 0.782415 2019-11-18 14:30:50.220: INFO @log_variables: valid recall: 0.727026 2019-11-18 14:30:50.220: INFO @log_variables: valid f1: 0.734872 2019-11-18 14:30:50.220: INFO @log_variables: valid accuracy mean: 0.767990 2019-11-18 14:30:50.220: INFO @log_variables: valid loss mean: 1.131531 2019-11-18 14:30:50.220: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:30:52.629: INFO @log_profile : T train: 17.469185 2019-11-18 14:30:52.629: INFO @log_profile : T valid: 0.928639 2019-11-18 14:30:52.629: INFO @log_profile : T read data: 0.683915 2019-11-18 14:30:52.629: INFO @log_profile : T hooks: 4.036218 2019-11-18 14:30:52.629: INFO @main_loop : Epoch 124 done 2019-11-18 14:30:52.629: INFO @main_loop : Training epoch 125 2019-11-18 14:31:13.583: INFO @log_variables: train precision: 0.939518 2019-11-18 14:31:13.584: INFO @log_variables: train recall: 0.937326 2019-11-18 14:31:13.584: INFO @log_variables: train f1: 0.938384 2019-11-18 14:31:13.584: INFO @log_variables: train accuracy mean: 0.941365 2019-11-18 14:31:13.584: INFO @log_variables: train loss mean: 0.165111 2019-11-18 14:31:13.584: INFO @log_variables: valid precision: 0.776620 2019-11-18 14:31:13.584: INFO @log_variables: valid recall: 0.738809 2019-11-18 14:31:13.584: INFO @log_variables: valid f1: 0.749588 2019-11-18 14:31:13.584: INFO @log_variables: valid accuracy mean: 0.774822 2019-11-18 14:31:13.584: INFO @log_variables: valid loss mean: 1.014197 2019-11-18 14:31:13.584: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:31:13.687: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_125.ckpt 2019-11-18 14:31:16.410: INFO @log_profile : T train: 17.613699 2019-11-18 14:31:16.410: INFO @log_profile : T valid: 0.929395 2019-11-18 14:31:16.410: INFO @log_profile : T read data: 0.711427 2019-11-18 14:31:16.410: INFO @log_profile : T hooks: 4.407865 2019-11-18 14:31:16.410: INFO @main_loop : Epoch 125 done 2019-11-18 14:31:16.410: INFO @main_loop : Training epoch 126 2019-11-18 14:31:37.328: INFO @log_variables: train precision: 0.939836 2019-11-18 14:31:37.328: INFO @log_variables: train recall: 0.937915 2019-11-18 14:31:37.328: INFO @log_variables: train f1: 0.938840 2019-11-18 14:31:37.328: INFO @log_variables: train accuracy mean: 0.941707 2019-11-18 14:31:37.328: INFO @log_variables: train loss mean: 0.161650 2019-11-18 14:31:37.328: INFO @log_variables: valid precision: 0.774385 2019-11-18 14:31:37.329: INFO @log_variables: valid recall: 0.754218 2019-11-18 14:31:37.329: INFO @log_variables: valid f1: 0.756676 2019-11-18 14:31:37.329: INFO @log_variables: valid accuracy mean: 0.781654 2019-11-18 14:31:37.329: INFO @log_variables: valid loss mean: 1.024586 2019-11-18 14:31:37.329: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:31:39.688: INFO @log_profile : T train: 17.720744 2019-11-18 14:31:39.689: INFO @log_profile : T valid: 0.905303 2019-11-18 14:31:39.689: INFO @log_profile : T read data: 0.675832 2019-11-18 14:31:39.689: INFO @log_profile : T hooks: 3.863146 2019-11-18 14:31:39.689: INFO @main_loop : Epoch 126 done 2019-11-18 14:31:39.689: INFO @main_loop : Training epoch 127 2019-11-18 14:32:00.687: INFO @log_variables: train precision: 0.940328 2019-11-18 14:32:00.687: INFO @log_variables: train recall: 0.938616 2019-11-18 14:32:00.687: INFO @log_variables: train f1: 0.939436 2019-11-18 14:32:00.687: INFO @log_variables: train accuracy mean: 0.941905 2019-11-18 14:32:00.687: INFO @log_variables: train loss mean: 0.162186 2019-11-18 14:32:00.687: INFO @log_variables: valid precision: 0.790985 2019-11-18 14:32:00.687: INFO @log_variables: valid recall: 0.755535 2019-11-18 14:32:00.687: INFO @log_variables: valid f1: 0.763983 2019-11-18 14:32:00.687: INFO @log_variables: valid accuracy mean: 0.783253 2019-11-18 14:32:00.687: INFO @log_variables: valid loss mean: 1.061737 2019-11-18 14:32:00.687: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:32:02.963: INFO @log_profile : T train: 17.654066 2019-11-18 14:32:02.964: INFO @log_profile : T valid: 0.929988 2019-11-18 14:32:02.964: INFO @log_profile : T read data: 0.701749 2019-11-18 14:32:02.964: INFO @log_profile : T hooks: 3.870453 2019-11-18 14:32:02.964: INFO @main_loop : Epoch 127 done 2019-11-18 14:32:02.964: INFO @main_loop : Training epoch 128 2019-11-18 14:32:23.872: INFO @log_variables: train precision: 0.941060 2019-11-18 14:32:23.872: INFO @log_variables: train recall: 0.939294 2019-11-18 14:32:23.872: INFO @log_variables: train f1: 0.940133 2019-11-18 14:32:23.872: INFO @log_variables: train accuracy mean: 0.943275 2019-11-18 14:32:23.872: INFO @log_variables: train loss mean: 0.158278 2019-11-18 14:32:23.872: INFO @log_variables: valid precision: 0.774437 2019-11-18 14:32:23.873: INFO @log_variables: valid recall: 0.736652 2019-11-18 14:32:23.873: INFO @log_variables: valid f1: 0.745571 2019-11-18 14:32:23.873: INFO @log_variables: valid accuracy mean: 0.770315 2019-11-18 14:32:23.873: INFO @log_variables: valid loss mean: 1.122350 2019-11-18 14:32:23.873: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:32:26.208: INFO @log_profile : T train: 17.556921 2019-11-18 14:32:26.208: INFO @log_profile : T valid: 0.910922 2019-11-18 14:32:26.208: INFO @log_profile : T read data: 0.715147 2019-11-18 14:32:26.208: INFO @log_profile : T hooks: 3.942102 2019-11-18 14:32:26.208: INFO @main_loop : Epoch 128 done 2019-11-18 14:32:26.208: INFO @main_loop : Training epoch 129 2019-11-18 14:32:47.228: INFO @log_variables: train precision: 0.940815 2019-11-18 14:32:47.228: INFO @log_variables: train recall: 0.938288 2019-11-18 14:32:47.228: INFO @log_variables: train f1: 0.939498 2019-11-18 14:32:47.228: INFO @log_variables: train accuracy mean: 0.942032 2019-11-18 14:32:47.228: INFO @log_variables: train loss mean: 0.159347 2019-11-18 14:32:47.228: INFO @log_variables: valid precision: 0.771228 2019-11-18 14:32:47.228: INFO @log_variables: valid recall: 0.748817 2019-11-18 14:32:47.228: INFO @log_variables: valid f1: 0.754193 2019-11-18 14:32:47.228: INFO @log_variables: valid accuracy mean: 0.773804 2019-11-18 14:32:47.228: INFO @log_variables: valid loss mean: 1.111121 2019-11-18 14:32:47.228: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:32:49.514: INFO @log_profile : T train: 17.609073 2019-11-18 14:32:49.514: INFO @log_profile : T valid: 0.896015 2019-11-18 14:32:49.514: INFO @log_profile : T read data: 0.712616 2019-11-18 14:32:49.514: INFO @log_profile : T hooks: 3.970228 2019-11-18 14:32:49.514: INFO @main_loop : Epoch 129 done 2019-11-18 14:32:49.515: INFO @main_loop : Training epoch 130 2019-11-18 14:33:10.424: INFO @log_variables: train precision: 0.940448 2019-11-18 14:33:10.424: INFO @log_variables: train recall: 0.938448 2019-11-18 14:33:10.424: INFO @log_variables: train f1: 0.939406 2019-11-18 14:33:10.424: INFO @log_variables: train accuracy mean: 0.942860 2019-11-18 14:33:10.424: INFO @log_variables: train loss mean: 0.155838 2019-11-18 14:33:10.424: INFO @log_variables: valid precision: 0.778435 2019-11-18 14:33:10.424: INFO @log_variables: valid recall: 0.742113 2019-11-18 14:33:10.424: INFO @log_variables: valid f1: 0.752883 2019-11-18 14:33:10.425: INFO @log_variables: valid accuracy mean: 0.779910 2019-11-18 14:33:10.425: INFO @log_variables: valid loss mean: 1.040952 2019-11-18 14:33:10.425: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:33:10.521: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_130.ckpt 2019-11-18 14:33:12.932: INFO @log_profile : T train: 17.547807 2019-11-18 14:33:12.932: INFO @log_profile : T valid: 0.890472 2019-11-18 14:33:12.932: INFO @log_profile : T read data: 0.702272 2019-11-18 14:33:12.932: INFO @log_profile : T hooks: 4.154855 2019-11-18 14:33:12.932: INFO @main_loop : Epoch 130 done 2019-11-18 14:33:12.932: INFO @main_loop : Training epoch 131 2019-11-18 14:33:33.905: INFO @log_variables: train precision: 0.940169 2019-11-18 14:33:33.905: INFO @log_variables: train recall: 0.937516 2019-11-18 14:33:33.906: INFO @log_variables: train f1: 0.938785 2019-11-18 14:33:33.906: INFO @log_variables: train accuracy mean: 0.942464 2019-11-18 14:33:33.906: INFO @log_variables: train loss mean: 0.157032 2019-11-18 14:33:33.906: INFO @log_variables: valid precision: 0.762629 2019-11-18 14:33:33.906: INFO @log_variables: valid recall: 0.750254 2019-11-18 14:33:33.906: INFO @log_variables: valid f1: 0.753540 2019-11-18 14:33:33.906: INFO @log_variables: valid accuracy mean: 0.773950 2019-11-18 14:33:33.906: INFO @log_variables: valid loss mean: 1.014269 2019-11-18 14:33:33.906: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:33:36.382: INFO @log_profile : T train: 17.582223 2019-11-18 14:33:36.383: INFO @log_profile : T valid: 0.936131 2019-11-18 14:33:36.383: INFO @log_profile : T read data: 0.686542 2019-11-18 14:33:36.383: INFO @log_profile : T hooks: 4.127261 2019-11-18 14:33:36.383: INFO @main_loop : Epoch 131 done 2019-11-18 14:33:36.383: INFO @main_loop : Training epoch 132 2019-11-18 14:33:57.129: INFO @log_variables: train precision: 0.942439 2019-11-18 14:33:57.129: INFO @log_variables: train recall: 0.940011 2019-11-18 14:33:57.129: INFO @log_variables: train f1: 0.941181 2019-11-18 14:33:57.129: INFO @log_variables: train accuracy mean: 0.943689 2019-11-18 14:33:57.129: INFO @log_variables: train loss mean: 0.154287 2019-11-18 14:33:57.129: INFO @log_variables: valid precision: 0.784408 2019-11-18 14:33:57.129: INFO @log_variables: valid recall: 0.739973 2019-11-18 14:33:57.129: INFO @log_variables: valid f1: 0.744290 2019-11-18 14:33:57.129: INFO @log_variables: valid accuracy mean: 0.777002 2019-11-18 14:33:57.130: INFO @log_variables: valid loss mean: 1.159964 2019-11-18 14:33:57.130: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:33:59.646: INFO @log_profile : T train: 17.449416 2019-11-18 14:33:59.646: INFO @log_profile : T valid: 0.922588 2019-11-18 14:33:59.646: INFO @log_profile : T read data: 0.661141 2019-11-18 14:33:59.646: INFO @log_profile : T hooks: 4.113352 2019-11-18 14:33:59.646: INFO @main_loop : Epoch 132 done 2019-11-18 14:33:59.646: INFO @main_loop : Training epoch 133 2019-11-18 14:34:20.625: INFO @log_variables: train precision: 0.941386 2019-11-18 14:34:20.625: INFO @log_variables: train recall: 0.939622 2019-11-18 14:34:20.625: INFO @log_variables: train f1: 0.940462 2019-11-18 14:34:20.625: INFO @log_variables: train accuracy mean: 0.943473 2019-11-18 14:34:20.625: INFO @log_variables: train loss mean: 0.155677 2019-11-18 14:34:20.625: INFO @log_variables: valid precision: 0.774650 2019-11-18 14:34:20.625: INFO @log_variables: valid recall: 0.742178 2019-11-18 14:34:20.625: INFO @log_variables: valid f1: 0.748988 2019-11-18 14:34:20.625: INFO @log_variables: valid accuracy mean: 0.774240 2019-11-18 14:34:20.625: INFO @log_variables: valid loss mean: 1.068464 2019-11-18 14:34:20.625: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:34:22.780: INFO @log_profile : T train: 17.559064 2019-11-18 14:34:22.780: INFO @log_profile : T valid: 0.947634 2019-11-18 14:34:22.780: INFO @log_profile : T read data: 0.647270 2019-11-18 14:34:22.780: INFO @log_profile : T hooks: 3.857223 2019-11-18 14:34:22.780: INFO @main_loop : Epoch 133 done 2019-11-18 14:34:22.780: INFO @main_loop : Training epoch 134 2019-11-18 14:34:43.517: INFO @log_variables: train precision: 0.942248 2019-11-18 14:34:43.518: INFO @log_variables: train recall: 0.940023 2019-11-18 14:34:43.518: INFO @log_variables: train f1: 0.941095 2019-11-18 14:34:43.518: INFO @log_variables: train accuracy mean: 0.944157 2019-11-18 14:34:43.518: INFO @log_variables: train loss mean: 0.157204 2019-11-18 14:34:43.518: INFO @log_variables: valid precision: 0.776491 2019-11-18 14:34:43.518: INFO @log_variables: valid recall: 0.752127 2019-11-18 14:34:43.518: INFO @log_variables: valid f1: 0.753632 2019-11-18 14:34:43.518: INFO @log_variables: valid accuracy mean: 0.775840 2019-11-18 14:34:43.518: INFO @log_variables: valid loss mean: 1.093210 2019-11-18 14:34:43.518: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:34:45.715: INFO @log_profile : T train: 17.442718 2019-11-18 14:34:45.715: INFO @log_profile : T valid: 0.914856 2019-11-18 14:34:45.715: INFO @log_profile : T read data: 0.699695 2019-11-18 14:34:45.715: INFO @log_profile : T hooks: 3.760038 2019-11-18 14:34:45.715: INFO @main_loop : Epoch 134 done 2019-11-18 14:34:45.715: INFO @main_loop : Training epoch 135 2019-11-18 14:35:06.593: INFO @log_variables: train precision: 0.942884 2019-11-18 14:35:06.594: INFO @log_variables: train recall: 0.941259 2019-11-18 14:35:06.594: INFO @log_variables: train f1: 0.942037 2019-11-18 14:35:06.594: INFO @log_variables: train accuracy mean: 0.944626 2019-11-18 14:35:06.594: INFO @log_variables: train loss mean: 0.154729 2019-11-18 14:35:06.594: INFO @log_variables: valid precision: 0.776248 2019-11-18 14:35:06.594: INFO @log_variables: valid recall: 0.754756 2019-11-18 14:35:06.594: INFO @log_variables: valid f1: 0.759344 2019-11-18 14:35:06.594: INFO @log_variables: valid accuracy mean: 0.778456 2019-11-18 14:35:06.594: INFO @log_variables: valid loss mean: 1.044616 2019-11-18 14:35:06.594: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:35:06.688: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_135.ckpt 2019-11-18 14:35:08.836: INFO @log_profile : T train: 17.551929 2019-11-18 14:35:08.836: INFO @log_profile : T valid: 0.926560 2019-11-18 14:35:08.836: INFO @log_profile : T read data: 0.642542 2019-11-18 14:35:08.836: INFO @log_profile : T hooks: 3.872107 2019-11-18 14:35:08.836: INFO @main_loop : Epoch 135 done 2019-11-18 14:35:08.836: INFO @main_loop : Training epoch 136 2019-11-18 14:35:29.707: INFO @log_variables: train precision: 0.943826 2019-11-18 14:35:29.707: INFO @log_variables: train recall: 0.941852 2019-11-18 14:35:29.707: INFO @log_variables: train f1: 0.942799 2019-11-18 14:35:29.707: INFO @log_variables: train accuracy mean: 0.945634 2019-11-18 14:35:29.707: INFO @log_variables: train loss mean: 0.149737 2019-11-18 14:35:29.707: INFO @log_variables: valid precision: 0.768723 2019-11-18 14:35:29.707: INFO @log_variables: valid recall: 0.733451 2019-11-18 14:35:29.707: INFO @log_variables: valid f1: 0.742497 2019-11-18 14:35:29.708: INFO @log_variables: valid accuracy mean: 0.763192 2019-11-18 14:35:29.708: INFO @log_variables: valid loss mean: 1.147078 2019-11-18 14:35:29.708: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:35:32.187: INFO @log_profile : T train: 17.413545 2019-11-18 14:35:32.187: INFO @log_profile : T valid: 0.931330 2019-11-18 14:35:32.187: INFO @log_profile : T read data: 0.728940 2019-11-18 14:35:32.187: INFO @log_profile : T hooks: 4.152435 2019-11-18 14:35:32.187: INFO @main_loop : Epoch 136 done 2019-11-18 14:35:32.187: INFO @main_loop : Training epoch 137 2019-11-18 14:35:53.172: INFO @log_variables: train precision: 0.944143 2019-11-18 14:35:53.172: INFO @log_variables: train recall: 0.942270 2019-11-18 14:35:53.172: INFO @log_variables: train f1: 0.943170 2019-11-18 14:35:53.172: INFO @log_variables: train accuracy mean: 0.945995 2019-11-18 14:35:53.172: INFO @log_variables: train loss mean: 0.148988 2019-11-18 14:35:53.172: INFO @log_variables: valid precision: 0.779474 2019-11-18 14:35:53.172: INFO @log_variables: valid recall: 0.737366 2019-11-18 14:35:53.172: INFO @log_variables: valid f1: 0.751265 2019-11-18 14:35:53.172: INFO @log_variables: valid accuracy mean: 0.774240 2019-11-18 14:35:53.172: INFO @log_variables: valid loss mean: 1.059511 2019-11-18 14:35:53.172: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:35:55.661: INFO @log_profile : T train: 17.574946 2019-11-18 14:35:55.661: INFO @log_profile : T valid: 0.935756 2019-11-18 14:35:55.661: INFO @log_profile : T read data: 0.671260 2019-11-18 14:35:55.661: INFO @log_profile : T hooks: 4.171646 2019-11-18 14:35:55.661: INFO @main_loop : Epoch 137 done 2019-11-18 14:35:55.661: INFO @main_loop : Training epoch 138 2019-11-18 14:36:16.550: INFO @log_variables: train precision: 0.942446 2019-11-18 14:36:16.550: INFO @log_variables: train recall: 0.940659 2019-11-18 14:36:16.550: INFO @log_variables: train f1: 0.941511 2019-11-18 14:36:16.550: INFO @log_variables: train accuracy mean: 0.944463 2019-11-18 14:36:16.550: INFO @log_variables: train loss mean: 0.153849 2019-11-18 14:36:16.551: INFO @log_variables: valid precision: 0.787966 2019-11-18 14:36:16.551: INFO @log_variables: valid recall: 0.757925 2019-11-18 14:36:16.551: INFO @log_variables: valid f1: 0.764359 2019-11-18 14:36:16.551: INFO @log_variables: valid accuracy mean: 0.790958 2019-11-18 14:36:16.551: INFO @log_variables: valid loss mean: 0.961103 2019-11-18 14:36:16.551: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:36:18.940: INFO @log_profile : T train: 17.488809 2019-11-18 14:36:18.940: INFO @log_profile : T valid: 0.927108 2019-11-18 14:36:18.940: INFO @log_profile : T read data: 0.675661 2019-11-18 14:36:18.940: INFO @log_profile : T hooks: 4.064940 2019-11-18 14:36:18.940: INFO @main_loop : Epoch 138 done 2019-11-18 14:36:18.940: INFO @main_loop : Training epoch 139 2019-11-18 14:36:39.906: INFO @log_variables: train precision: 0.944738 2019-11-18 14:36:39.906: INFO @log_variables: train recall: 0.943011 2019-11-18 14:36:39.906: INFO @log_variables: train f1: 0.943837 2019-11-18 14:36:39.906: INFO @log_variables: train accuracy mean: 0.946823 2019-11-18 14:36:39.906: INFO @log_variables: train loss mean: 0.150249 2019-11-18 14:36:39.906: INFO @log_variables: valid precision: 0.772314 2019-11-18 14:36:39.906: INFO @log_variables: valid recall: 0.740117 2019-11-18 14:36:39.906: INFO @log_variables: valid f1: 0.744257 2019-11-18 14:36:39.906: INFO @log_variables: valid accuracy mean: 0.774967 2019-11-18 14:36:39.907: INFO @log_variables: valid loss mean: 1.064658 2019-11-18 14:36:39.907: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:36:42.109: INFO @log_profile : T train: 17.695937 2019-11-18 14:36:42.109: INFO @log_profile : T valid: 0.913306 2019-11-18 14:36:42.110: INFO @log_profile : T read data: 0.680966 2019-11-18 14:36:42.110: INFO @log_profile : T hooks: 3.764072 2019-11-18 14:36:42.110: INFO @main_loop : Epoch 139 done 2019-11-18 14:36:42.110: INFO @main_loop : Training epoch 140 2019-11-18 14:37:02.833: INFO @log_variables: train precision: 0.944079 2019-11-18 14:37:02.833: INFO @log_variables: train recall: 0.942608 2019-11-18 14:37:02.834: INFO @log_variables: train f1: 0.943310 2019-11-18 14:37:02.834: INFO @log_variables: train accuracy mean: 0.946013 2019-11-18 14:37:02.834: INFO @log_variables: train loss mean: 0.149606 2019-11-18 14:37:02.834: INFO @log_variables: valid precision: 0.763584 2019-11-18 14:37:02.834: INFO @log_variables: valid recall: 0.741257 2019-11-18 14:37:02.834: INFO @log_variables: valid f1: 0.746708 2019-11-18 14:37:02.834: INFO @log_variables: valid accuracy mean: 0.771769 2019-11-18 14:37:02.834: INFO @log_variables: valid loss mean: 1.063613 2019-11-18 14:37:02.834: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:37:02.924: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_140.ckpt 2019-11-18 14:37:05.071: INFO @log_profile : T train: 17.357089 2019-11-18 14:37:05.071: INFO @log_profile : T valid: 0.911678 2019-11-18 14:37:05.071: INFO @log_profile : T read data: 0.689832 2019-11-18 14:37:05.071: INFO @log_profile : T hooks: 3.884631 2019-11-18 14:37:05.071: INFO @main_loop : Epoch 140 done 2019-11-18 14:37:05.071: INFO @main_loop : Training epoch 141 2019-11-18 14:37:25.748: INFO @log_variables: train precision: 0.945091 2019-11-18 14:37:25.748: INFO @log_variables: train recall: 0.943137 2019-11-18 14:37:25.748: INFO @log_variables: train f1: 0.944084 2019-11-18 14:37:25.748: INFO @log_variables: train accuracy mean: 0.946571 2019-11-18 14:37:25.748: INFO @log_variables: train loss mean: 0.146460 2019-11-18 14:37:25.748: INFO @log_variables: valid precision: 0.762709 2019-11-18 14:37:25.748: INFO @log_variables: valid recall: 0.737354 2019-11-18 14:37:25.748: INFO @log_variables: valid f1: 0.738722 2019-11-18 14:37:25.749: INFO @log_variables: valid accuracy mean: 0.765228 2019-11-18 14:37:25.749: INFO @log_variables: valid loss mean: 1.153859 2019-11-18 14:37:25.749: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:37:27.831: INFO @log_profile : T train: 17.386235 2019-11-18 14:37:27.832: INFO @log_profile : T valid: 0.907443 2019-11-18 14:37:27.832: INFO @log_profile : T read data: 0.682903 2019-11-18 14:37:27.832: INFO @log_profile : T hooks: 3.668370 2019-11-18 14:37:27.832: INFO @main_loop : Epoch 141 done 2019-11-18 14:37:27.832: INFO @main_loop : Training epoch 142 2019-11-18 14:37:48.636: INFO @log_variables: train precision: 0.947214 2019-11-18 14:37:48.637: INFO @log_variables: train recall: 0.945126 2019-11-18 14:37:48.637: INFO @log_variables: train f1: 0.946140 2019-11-18 14:37:48.637: INFO @log_variables: train accuracy mean: 0.948715 2019-11-18 14:37:48.637: INFO @log_variables: train loss mean: 0.142727 2019-11-18 14:37:48.637: INFO @log_variables: valid precision: 0.773111 2019-11-18 14:37:48.637: INFO @log_variables: valid recall: 0.755330 2019-11-18 14:37:48.637: INFO @log_variables: valid f1: 0.760228 2019-11-18 14:37:48.637: INFO @log_variables: valid accuracy mean: 0.781509 2019-11-18 14:37:48.637: INFO @log_variables: valid loss mean: 1.062425 2019-11-18 14:37:48.637: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:37:50.950: INFO @log_profile : T train: 17.498500 2019-11-18 14:37:50.950: INFO @log_profile : T valid: 0.939480 2019-11-18 14:37:50.950: INFO @log_profile : T read data: 0.682184 2019-11-18 14:37:50.950: INFO @log_profile : T hooks: 3.881011 2019-11-18 14:37:50.950: INFO @main_loop : Epoch 142 done 2019-11-18 14:37:50.950: INFO @main_loop : Training epoch 143 2019-11-18 14:38:11.996: INFO @log_variables: train precision: 0.943239 2019-11-18 14:38:11.996: INFO @log_variables: train recall: 0.941472 2019-11-18 14:38:11.996: INFO @log_variables: train f1: 0.942327 2019-11-18 14:38:11.996: INFO @log_variables: train accuracy mean: 0.945220 2019-11-18 14:38:11.997: INFO @log_variables: train loss mean: 0.147661 2019-11-18 14:38:11.997: INFO @log_variables: valid precision: 0.772461 2019-11-18 14:38:11.997: INFO @log_variables: valid recall: 0.738202 2019-11-18 14:38:11.997: INFO @log_variables: valid f1: 0.744701 2019-11-18 14:38:11.997: INFO @log_variables: valid accuracy mean: 0.769152 2019-11-18 14:38:11.997: INFO @log_variables: valid loss mean: 1.145341 2019-11-18 14:38:11.997: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:38:14.626: INFO @log_profile : T train: 17.753572 2019-11-18 14:38:14.627: INFO @log_profile : T valid: 0.924612 2019-11-18 14:38:14.627: INFO @log_profile : T read data: 0.697138 2019-11-18 14:38:14.627: INFO @log_profile : T hooks: 4.176895 2019-11-18 14:38:14.627: INFO @main_loop : Epoch 143 done 2019-11-18 14:38:14.627: INFO @main_loop : Training epoch 144 2019-11-18 14:38:35.596: INFO @log_variables: train precision: 0.945072 2019-11-18 14:38:35.596: INFO @log_variables: train recall: 0.942924 2019-11-18 14:38:35.596: INFO @log_variables: train f1: 0.943956 2019-11-18 14:38:35.596: INFO @log_variables: train accuracy mean: 0.947220 2019-11-18 14:38:35.596: INFO @log_variables: train loss mean: 0.145864 2019-11-18 14:38:35.596: INFO @log_variables: valid precision: 0.761481 2019-11-18 14:38:35.596: INFO @log_variables: valid recall: 0.750964 2019-11-18 14:38:35.596: INFO @log_variables: valid f1: 0.749384 2019-11-18 14:38:35.596: INFO @log_variables: valid accuracy mean: 0.772641 2019-11-18 14:38:35.596: INFO @log_variables: valid loss mean: 1.099158 2019-11-18 14:38:35.596: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:38:38.125: INFO @log_profile : T train: 17.626003 2019-11-18 14:38:38.125: INFO @log_profile : T valid: 0.933519 2019-11-18 14:38:38.125: INFO @log_profile : T read data: 0.673073 2019-11-18 14:38:38.125: INFO @log_profile : T hooks: 4.148086 2019-11-18 14:38:38.126: INFO @main_loop : Epoch 144 done 2019-11-18 14:38:38.126: INFO @main_loop : Training epoch 145 2019-11-18 14:38:59.122: INFO @log_variables: train precision: 0.946863 2019-11-18 14:38:59.122: INFO @log_variables: train recall: 0.944837 2019-11-18 14:38:59.122: INFO @log_variables: train f1: 0.945807 2019-11-18 14:38:59.122: INFO @log_variables: train accuracy mean: 0.948336 2019-11-18 14:38:59.122: INFO @log_variables: train loss mean: 0.142637 2019-11-18 14:38:59.122: INFO @log_variables: valid precision: 0.786050 2019-11-18 14:38:59.123: INFO @log_variables: valid recall: 0.728044 2019-11-18 14:38:59.123: INFO @log_variables: valid f1: 0.739775 2019-11-18 14:38:59.123: INFO @log_variables: valid accuracy mean: 0.764501 2019-11-18 14:38:59.123: INFO @log_variables: valid loss mean: 1.316548 2019-11-18 14:38:59.123: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:38:59.242: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_145.ckpt 2019-11-18 14:39:01.447: INFO @log_profile : T train: 17.552747 2019-11-18 14:39:01.447: INFO @log_profile : T valid: 0.945574 2019-11-18 14:39:01.447: INFO @log_profile : T read data: 0.731990 2019-11-18 14:39:01.447: INFO @log_profile : T hooks: 3.974020 2019-11-18 14:39:01.447: INFO @main_loop : Epoch 145 done 2019-11-18 14:39:01.448: INFO @main_loop : Training epoch 146 2019-11-18 14:39:22.592: INFO @log_variables: train precision: 0.946009 2019-11-18 14:39:22.592: INFO @log_variables: train recall: 0.944204 2019-11-18 14:39:22.592: INFO @log_variables: train f1: 0.945071 2019-11-18 14:39:22.592: INFO @log_variables: train accuracy mean: 0.947670 2019-11-18 14:39:22.592: INFO @log_variables: train loss mean: 0.143301 2019-11-18 14:39:22.592: INFO @log_variables: valid precision: 0.776108 2019-11-18 14:39:22.592: INFO @log_variables: valid recall: 0.761413 2019-11-18 14:39:22.592: INFO @log_variables: valid f1: 0.766584 2019-11-18 14:39:22.592: INFO @log_variables: valid accuracy mean: 0.785725 2019-11-18 14:39:22.592: INFO @log_variables: valid loss mean: 1.030208 2019-11-18 14:39:22.592: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:39:24.980: INFO @log_profile : T train: 17.689206 2019-11-18 14:39:24.980: INFO @log_profile : T valid: 0.929477 2019-11-18 14:39:24.981: INFO @log_profile : T read data: 0.736347 2019-11-18 14:39:24.981: INFO @log_profile : T hooks: 4.060353 2019-11-18 14:39:24.981: INFO @main_loop : Epoch 146 done 2019-11-18 14:39:24.981: INFO @main_loop : Training epoch 147 2019-11-18 14:39:45.802: INFO @log_variables: train precision: 0.948192 2019-11-18 14:39:45.802: INFO @log_variables: train recall: 0.946267 2019-11-18 14:39:45.803: INFO @log_variables: train f1: 0.947188 2019-11-18 14:39:45.803: INFO @log_variables: train accuracy mean: 0.950354 2019-11-18 14:39:45.803: INFO @log_variables: train loss mean: 0.139216 2019-11-18 14:39:45.803: INFO @log_variables: valid precision: 0.767697 2019-11-18 14:39:45.803: INFO @log_variables: valid recall: 0.743792 2019-11-18 14:39:45.803: INFO @log_variables: valid f1: 0.746100 2019-11-18 14:39:45.803: INFO @log_variables: valid accuracy mean: 0.773659 2019-11-18 14:39:45.803: INFO @log_variables: valid loss mean: 1.104391 2019-11-18 14:39:45.803: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:39:48.123: INFO @log_profile : T train: 17.414558 2019-11-18 14:39:48.123: INFO @log_profile : T valid: 0.924742 2019-11-18 14:39:48.123: INFO @log_profile : T read data: 0.745285 2019-11-18 14:39:48.123: INFO @log_profile : T hooks: 3.940219 2019-11-18 14:39:48.123: INFO @main_loop : Epoch 147 done 2019-11-18 14:39:48.123: INFO @main_loop : Training epoch 148 2019-11-18 14:40:09.116: INFO @log_variables: train precision: 0.946989 2019-11-18 14:40:09.117: INFO @log_variables: train recall: 0.945864 2019-11-18 14:40:09.117: INFO @log_variables: train f1: 0.946407 2019-11-18 14:40:09.117: INFO @log_variables: train accuracy mean: 0.949165 2019-11-18 14:40:09.117: INFO @log_variables: train loss mean: 0.141415 2019-11-18 14:40:09.117: INFO @log_variables: valid precision: 0.771819 2019-11-18 14:40:09.117: INFO @log_variables: valid recall: 0.750789 2019-11-18 14:40:09.117: INFO @log_variables: valid f1: 0.758184 2019-11-18 14:40:09.117: INFO @log_variables: valid accuracy mean: 0.779328 2019-11-18 14:40:09.117: INFO @log_variables: valid loss mean: 1.026590 2019-11-18 14:40:09.117: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:40:11.974: INFO @log_profile : T train: 17.638839 2019-11-18 14:40:11.974: INFO @log_profile : T valid: 0.961768 2019-11-18 14:40:11.974: INFO @log_profile : T read data: 0.662251 2019-11-18 14:40:11.974: INFO @log_profile : T hooks: 4.470209 2019-11-18 14:40:11.974: INFO @main_loop : Epoch 148 done 2019-11-18 14:40:11.975: INFO @main_loop : Training epoch 149 2019-11-18 14:40:32.758: INFO @log_variables: train precision: 0.947994 2019-11-18 14:40:32.759: INFO @log_variables: train recall: 0.946280 2019-11-18 14:40:32.759: INFO @log_variables: train f1: 0.947096 2019-11-18 14:40:32.759: INFO @log_variables: train accuracy mean: 0.949381 2019-11-18 14:40:32.759: INFO @log_variables: train loss mean: 0.141805 2019-11-18 14:40:32.759: INFO @log_variables: valid precision: 0.779627 2019-11-18 14:40:32.759: INFO @log_variables: valid recall: 0.728620 2019-11-18 14:40:32.759: INFO @log_variables: valid f1: 0.738912 2019-11-18 14:40:32.759: INFO @log_variables: valid accuracy mean: 0.766100 2019-11-18 14:40:32.759: INFO @log_variables: valid loss mean: 1.234114 2019-11-18 14:40:32.759: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:40:35.182: INFO @log_profile : T train: 17.477222 2019-11-18 14:40:35.182: INFO @log_profile : T valid: 0.912246 2019-11-18 14:40:35.182: INFO @log_profile : T read data: 0.717620 2019-11-18 14:40:35.182: INFO @log_profile : T hooks: 3.984068 2019-11-18 14:40:35.182: INFO @main_loop : Epoch 149 done 2019-11-18 14:40:35.182: INFO @main_loop : Training epoch 150 2019-11-18 14:40:55.928: INFO @log_variables: train precision: 0.947552 2019-11-18 14:40:55.928: INFO @log_variables: train recall: 0.945548 2019-11-18 14:40:55.928: INFO @log_variables: train f1: 0.946512 2019-11-18 14:40:55.928: INFO @log_variables: train accuracy mean: 0.949687 2019-11-18 14:40:55.928: INFO @log_variables: train loss mean: 0.140810 2019-11-18 14:40:55.928: INFO @log_variables: valid precision: 0.771552 2019-11-18 14:40:55.928: INFO @log_variables: valid recall: 0.744467 2019-11-18 14:40:55.928: INFO @log_variables: valid f1: 0.753196 2019-11-18 14:40:55.928: INFO @log_variables: valid accuracy mean: 0.774822 2019-11-18 14:40:55.928: INFO @log_variables: valid loss mean: 1.035270 2019-11-18 14:40:55.928: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:40:56.025: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_150.ckpt 2019-11-18 14:40:58.594: INFO @log_profile : T train: 17.449891 2019-11-18 14:40:58.594: INFO @log_profile : T valid: 0.920049 2019-11-18 14:40:58.594: INFO @log_profile : T read data: 0.689527 2019-11-18 14:40:58.594: INFO @log_profile : T hooks: 4.236844 2019-11-18 14:40:58.594: INFO @main_loop : Epoch 150 done 2019-11-18 14:40:58.594: INFO @main_loop : Training epoch 151 2019-11-18 14:41:19.247: INFO @log_variables: train precision: 0.949392 2019-11-18 14:41:19.247: INFO @log_variables: train recall: 0.947752 2019-11-18 14:41:19.247: INFO @log_variables: train f1: 0.948543 2019-11-18 14:41:19.247: INFO @log_variables: train accuracy mean: 0.951471 2019-11-18 14:41:19.247: INFO @log_variables: train loss mean: 0.137455 2019-11-18 14:41:19.247: INFO @log_variables: valid precision: 0.777158 2019-11-18 14:41:19.248: INFO @log_variables: valid recall: 0.749481 2019-11-18 14:41:19.248: INFO @log_variables: valid f1: 0.755685 2019-11-18 14:41:19.248: INFO @log_variables: valid accuracy mean: 0.781218 2019-11-18 14:41:19.248: INFO @log_variables: valid loss mean: 1.036271 2019-11-18 14:41:19.248: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:41:21.920: INFO @log_profile : T train: 17.479111 2019-11-18 14:41:21.921: INFO @log_profile : T valid: 0.927086 2019-11-18 14:41:21.921: INFO @log_profile : T read data: 0.629436 2019-11-18 14:41:21.921: INFO @log_profile : T hooks: 4.176191 2019-11-18 14:41:21.921: INFO @main_loop : Epoch 151 done 2019-11-18 14:41:21.921: INFO @main_loop : Training epoch 152 2019-11-18 14:41:42.873: INFO @log_variables: train precision: 0.947930 2019-11-18 14:41:42.873: INFO @log_variables: train recall: 0.946525 2019-11-18 14:41:42.873: INFO @log_variables: train f1: 0.947200 2019-11-18 14:41:42.873: INFO @log_variables: train accuracy mean: 0.949760 2019-11-18 14:41:42.874: INFO @log_variables: train loss mean: 0.137630 2019-11-18 14:41:42.874: INFO @log_variables: valid precision: 0.781925 2019-11-18 14:41:42.874: INFO @log_variables: valid recall: 0.744693 2019-11-18 14:41:42.874: INFO @log_variables: valid f1: 0.750869 2019-11-18 14:41:42.874: INFO @log_variables: valid accuracy mean: 0.777439 2019-11-18 14:41:42.874: INFO @log_variables: valid loss mean: 1.145374 2019-11-18 14:41:42.874: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:41:45.283: INFO @log_profile : T train: 17.571234 2019-11-18 14:41:45.283: INFO @log_profile : T valid: 0.919890 2019-11-18 14:41:45.283: INFO @log_profile : T read data: 0.801632 2019-11-18 14:41:45.283: INFO @log_profile : T hooks: 3.943806 2019-11-18 14:41:45.283: INFO @main_loop : Epoch 152 done 2019-11-18 14:41:45.283: INFO @main_loop : Training epoch 153 2019-11-18 14:42:06.163: INFO @log_variables: train precision: 0.949903 2019-11-18 14:42:06.163: INFO @log_variables: train recall: 0.948272 2019-11-18 14:42:06.163: INFO @log_variables: train f1: 0.949056 2019-11-18 14:42:06.164: INFO @log_variables: train accuracy mean: 0.951183 2019-11-18 14:42:06.164: INFO @log_variables: train loss mean: 0.135348 2019-11-18 14:42:06.164: INFO @log_variables: valid precision: 0.782643 2019-11-18 14:42:06.164: INFO @log_variables: valid recall: 0.754031 2019-11-18 14:42:06.164: INFO @log_variables: valid f1: 0.759787 2019-11-18 14:42:06.164: INFO @log_variables: valid accuracy mean: 0.783253 2019-11-18 14:42:06.164: INFO @log_variables: valid loss mean: 1.093654 2019-11-18 14:42:06.164: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:42:08.616: INFO @log_profile : T train: 17.528350 2019-11-18 14:42:08.616: INFO @log_profile : T valid: 0.918685 2019-11-18 14:42:08.616: INFO @log_profile : T read data: 0.764116 2019-11-18 14:42:08.617: INFO @log_profile : T hooks: 4.001917 2019-11-18 14:42:08.617: INFO @main_loop : Epoch 153 done 2019-11-18 14:42:08.617: INFO @main_loop : Training epoch 154 2019-11-18 14:42:29.545: INFO @log_variables: train precision: 0.949164 2019-11-18 14:42:29.545: INFO @log_variables: train recall: 0.947617 2019-11-18 14:42:29.545: INFO @log_variables: train f1: 0.948363 2019-11-18 14:42:29.545: INFO @log_variables: train accuracy mean: 0.951381 2019-11-18 14:42:29.545: INFO @log_variables: train loss mean: 0.135137 2019-11-18 14:42:29.545: INFO @log_variables: valid precision: 0.776414 2019-11-18 14:42:29.546: INFO @log_variables: valid recall: 0.728321 2019-11-18 14:42:29.546: INFO @log_variables: valid f1: 0.733085 2019-11-18 14:42:29.546: INFO @log_variables: valid accuracy mean: 0.762029 2019-11-18 14:42:29.546: INFO @log_variables: valid loss mean: 1.311334 2019-11-18 14:42:29.546: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:42:31.788: INFO @log_profile : T train: 17.642924 2019-11-18 14:42:31.788: INFO @log_profile : T valid: 0.924666 2019-11-18 14:42:31.788: INFO @log_profile : T read data: 0.727449 2019-11-18 14:42:31.788: INFO @log_profile : T hooks: 3.755474 2019-11-18 14:42:31.789: INFO @main_loop : Epoch 154 done 2019-11-18 14:42:31.789: INFO @main_loop : Training epoch 155 2019-11-18 14:42:52.643: INFO @log_variables: train precision: 0.950868 2019-11-18 14:42:52.643: INFO @log_variables: train recall: 0.949276 2019-11-18 14:42:52.643: INFO @log_variables: train f1: 0.950042 2019-11-18 14:42:52.643: INFO @log_variables: train accuracy mean: 0.952822 2019-11-18 14:42:52.643: INFO @log_variables: train loss mean: 0.132623 2019-11-18 14:42:52.643: INFO @log_variables: valid precision: 0.779348 2019-11-18 14:42:52.643: INFO @log_variables: valid recall: 0.739520 2019-11-18 14:42:52.643: INFO @log_variables: valid f1: 0.747070 2019-11-18 14:42:52.643: INFO @log_variables: valid accuracy mean: 0.768426 2019-11-18 14:42:52.643: INFO @log_variables: valid loss mean: 1.345369 2019-11-18 14:42:52.643: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:42:52.761: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_155.ckpt 2019-11-18 14:42:55.320: INFO @log_profile : T train: 17.670314 2019-11-18 14:42:55.320: INFO @log_profile : T valid: 0.948591 2019-11-18 14:42:55.320: INFO @log_profile : T read data: 0.628749 2019-11-18 14:42:55.320: INFO @log_profile : T hooks: 4.162801 2019-11-18 14:42:55.320: INFO @main_loop : Epoch 155 done 2019-11-18 14:42:55.320: INFO @main_loop : Training epoch 156 2019-11-18 14:43:16.130: INFO @log_variables: train precision: 0.949901 2019-11-18 14:43:16.130: INFO @log_variables: train recall: 0.947209 2019-11-18 14:43:16.130: INFO @log_variables: train f1: 0.948509 2019-11-18 14:43:16.130: INFO @log_variables: train accuracy mean: 0.951705 2019-11-18 14:43:16.130: INFO @log_variables: train loss mean: 0.133375 2019-11-18 14:43:16.130: INFO @log_variables: valid precision: 0.773276 2019-11-18 14:43:16.130: INFO @log_variables: valid recall: 0.732057 2019-11-18 14:43:16.131: INFO @log_variables: valid f1: 0.740756 2019-11-18 14:43:16.131: INFO @log_variables: valid accuracy mean: 0.766536 2019-11-18 14:43:16.131: INFO @log_variables: valid loss mean: 1.272058 2019-11-18 14:43:16.131: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:43:18.701: INFO @log_profile : T train: 17.523990 2019-11-18 14:43:18.701: INFO @log_profile : T valid: 0.962447 2019-11-18 14:43:18.701: INFO @log_profile : T read data: 0.633339 2019-11-18 14:43:18.701: INFO @log_profile : T hooks: 4.146638 2019-11-18 14:43:18.701: INFO @main_loop : Epoch 156 done 2019-11-18 14:43:18.702: INFO @main_loop : Training epoch 157 2019-11-18 14:43:39.481: INFO @log_variables: train precision: 0.950950 2019-11-18 14:43:39.481: INFO @log_variables: train recall: 0.949479 2019-11-18 14:43:39.481: INFO @log_variables: train f1: 0.950183 2019-11-18 14:43:39.481: INFO @log_variables: train accuracy mean: 0.952930 2019-11-18 14:43:39.481: INFO @log_variables: train loss mean: 0.131021 2019-11-18 14:43:39.481: INFO @log_variables: valid precision: 0.772116 2019-11-18 14:43:39.481: INFO @log_variables: valid recall: 0.753549 2019-11-18 14:43:39.481: INFO @log_variables: valid f1: 0.755972 2019-11-18 14:43:39.481: INFO @log_variables: valid accuracy mean: 0.780055 2019-11-18 14:43:39.481: INFO @log_variables: valid loss mean: 1.196400 2019-11-18 14:43:39.482: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:43:41.942: INFO @log_profile : T train: 17.569463 2019-11-18 14:43:41.942: INFO @log_profile : T valid: 0.929039 2019-11-18 14:43:41.942: INFO @log_profile : T read data: 0.716114 2019-11-18 14:43:41.942: INFO @log_profile : T hooks: 3.912524 2019-11-18 14:43:41.942: INFO @main_loop : Epoch 157 done 2019-11-18 14:43:41.942: INFO @main_loop : Training epoch 158 2019-11-18 14:44:02.673: INFO @log_variables: train precision: 0.949696 2019-11-18 14:44:02.673: INFO @log_variables: train recall: 0.947812 2019-11-18 14:44:02.673: INFO @log_variables: train f1: 0.948728 2019-11-18 14:44:02.673: INFO @log_variables: train accuracy mean: 0.951867 2019-11-18 14:44:02.673: INFO @log_variables: train loss mean: 0.134932 2019-11-18 14:44:02.673: INFO @log_variables: valid precision: 0.776256 2019-11-18 14:44:02.673: INFO @log_variables: valid recall: 0.738412 2019-11-18 14:44:02.673: INFO @log_variables: valid f1: 0.743056 2019-11-18 14:44:02.673: INFO @log_variables: valid accuracy mean: 0.774386 2019-11-18 14:44:02.673: INFO @log_variables: valid loss mean: 1.172867 2019-11-18 14:44:02.673: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:44:04.870: INFO @log_profile : T train: 17.493777 2019-11-18 14:44:04.870: INFO @log_profile : T valid: 0.928796 2019-11-18 14:44:04.870: INFO @log_profile : T read data: 0.702278 2019-11-18 14:44:04.870: INFO @log_profile : T hooks: 3.684190 2019-11-18 14:44:04.870: INFO @main_loop : Epoch 158 done 2019-11-18 14:44:04.870: INFO @main_loop : Training epoch 159 2019-11-18 14:44:25.633: INFO @log_variables: train precision: 0.950968 2019-11-18 14:44:25.633: INFO @log_variables: train recall: 0.949536 2019-11-18 14:44:25.633: INFO @log_variables: train f1: 0.950227 2019-11-18 14:44:25.633: INFO @log_variables: train accuracy mean: 0.953038 2019-11-18 14:44:25.633: INFO @log_variables: train loss mean: 0.130936 2019-11-18 14:44:25.633: INFO @log_variables: valid precision: 0.782570 2019-11-18 14:44:25.633: INFO @log_variables: valid recall: 0.747583 2019-11-18 14:44:25.633: INFO @log_variables: valid f1: 0.755682 2019-11-18 14:44:25.633: INFO @log_variables: valid accuracy mean: 0.779328 2019-11-18 14:44:25.633: INFO @log_variables: valid loss mean: 1.115291 2019-11-18 14:44:25.634: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:44:28.071: INFO @log_profile : T train: 17.566477 2019-11-18 14:44:28.072: INFO @log_profile : T valid: 0.919826 2019-11-18 14:44:28.072: INFO @log_profile : T read data: 0.625970 2019-11-18 14:44:28.072: INFO @log_profile : T hooks: 3.966748 2019-11-18 14:44:28.072: INFO @main_loop : Epoch 159 done 2019-11-18 14:44:28.072: INFO @main_loop : Training epoch 160 2019-11-18 14:44:49.055: INFO @log_variables: train precision: 0.951037 2019-11-18 14:44:49.056: INFO @log_variables: train recall: 0.949740 2019-11-18 14:44:49.056: INFO @log_variables: train f1: 0.950370 2019-11-18 14:44:49.056: INFO @log_variables: train accuracy mean: 0.953723 2019-11-18 14:44:49.056: INFO @log_variables: train loss mean: 0.131879 2019-11-18 14:44:49.056: INFO @log_variables: valid precision: 0.786962 2019-11-18 14:44:49.056: INFO @log_variables: valid recall: 0.745857 2019-11-18 14:44:49.056: INFO @log_variables: valid f1: 0.758283 2019-11-18 14:44:49.056: INFO @log_variables: valid accuracy mean: 0.781945 2019-11-18 14:44:49.056: INFO @log_variables: valid loss mean: 1.169824 2019-11-18 14:44:49.056: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:44:49.150: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_160.ckpt 2019-11-18 14:44:51.505: INFO @log_profile : T train: 17.569924 2019-11-18 14:44:51.506: INFO @log_profile : T valid: 0.986820 2019-11-18 14:44:51.506: INFO @log_profile : T read data: 0.779689 2019-11-18 14:44:51.506: INFO @log_profile : T hooks: 3.971528 2019-11-18 14:44:51.506: INFO @main_loop : Epoch 160 done 2019-11-18 14:44:51.506: INFO @main_loop : Training epoch 161 2019-11-18 14:45:12.738: INFO @log_variables: train precision: 0.952710 2019-11-18 14:45:12.739: INFO @log_variables: train recall: 0.951112 2019-11-18 14:45:12.739: INFO @log_variables: train f1: 0.951886 2019-11-18 14:45:12.739: INFO @log_variables: train accuracy mean: 0.954515 2019-11-18 14:45:12.739: INFO @log_variables: train loss mean: 0.129986 2019-11-18 14:45:12.739: INFO @log_variables: valid precision: 0.771208 2019-11-18 14:45:12.739: INFO @log_variables: valid recall: 0.734618 2019-11-18 14:45:12.739: INFO @log_variables: valid f1: 0.740652 2019-11-18 14:45:12.739: INFO @log_variables: valid accuracy mean: 0.767263 2019-11-18 14:45:12.739: INFO @log_variables: valid loss mean: 1.246459 2019-11-18 14:45:12.739: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:45:15.006: INFO @log_profile : T train: 17.837237 2019-11-18 14:45:15.006: INFO @log_profile : T valid: 0.948958 2019-11-18 14:45:15.006: INFO @log_profile : T read data: 0.816728 2019-11-18 14:45:15.006: INFO @log_profile : T hooks: 3.775789 2019-11-18 14:45:15.006: INFO @main_loop : Epoch 161 done 2019-11-18 14:45:15.006: INFO @main_loop : Training epoch 162 2019-11-18 14:45:36.003: INFO @log_variables: train precision: 0.951497 2019-11-18 14:45:36.003: INFO @log_variables: train recall: 0.949808 2019-11-18 14:45:36.003: INFO @log_variables: train f1: 0.950613 2019-11-18 14:45:36.003: INFO @log_variables: train accuracy mean: 0.953669 2019-11-18 14:45:36.003: INFO @log_variables: train loss mean: 0.130551 2019-11-18 14:45:36.003: INFO @log_variables: valid precision: 0.784273 2019-11-18 14:45:36.003: INFO @log_variables: valid recall: 0.760513 2019-11-18 14:45:36.003: INFO @log_variables: valid f1: 0.767719 2019-11-18 14:45:36.003: INFO @log_variables: valid accuracy mean: 0.791394 2019-11-18 14:45:36.004: INFO @log_variables: valid loss mean: 1.023747 2019-11-18 14:45:36.004: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:45:36.107: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:45:38.485: INFO @log_profile : T train: 17.743081 2019-11-18 14:45:38.485: INFO @log_profile : T valid: 0.934243 2019-11-18 14:45:38.485: INFO @log_profile : T read data: 0.674715 2019-11-18 14:45:38.485: INFO @log_profile : T hooks: 4.003662 2019-11-18 14:45:38.485: INFO @main_loop : Epoch 162 done 2019-11-18 14:45:38.485: INFO @main_loop : Training epoch 163 2019-11-18 14:45:59.290: INFO @log_variables: train precision: 0.951265 2019-11-18 14:45:59.291: INFO @log_variables: train recall: 0.949426 2019-11-18 14:45:59.291: INFO @log_variables: train f1: 0.950320 2019-11-18 14:45:59.291: INFO @log_variables: train accuracy mean: 0.953038 2019-11-18 14:45:59.291: INFO @log_variables: train loss mean: 0.130337 2019-11-18 14:45:59.291: INFO @log_variables: valid precision: 0.769115 2019-11-18 14:45:59.291: INFO @log_variables: valid recall: 0.727596 2019-11-18 14:45:59.291: INFO @log_variables: valid f1: 0.730406 2019-11-18 14:45:59.291: INFO @log_variables: valid accuracy mean: 0.756215 2019-11-18 14:45:59.291: INFO @log_variables: valid loss mean: 1.273816 2019-11-18 14:45:59.291: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:46:01.552: INFO @log_profile : T train: 17.379000 2019-11-18 14:46:01.552: INFO @log_profile : T valid: 0.965901 2019-11-18 14:46:01.552: INFO @log_profile : T read data: 0.793359 2019-11-18 14:46:01.552: INFO @log_profile : T hooks: 3.808768 2019-11-18 14:46:01.552: INFO @main_loop : Epoch 163 done 2019-11-18 14:46:01.552: INFO @main_loop : Training epoch 164 2019-11-18 14:46:22.589: INFO @log_variables: train precision: 0.951848 2019-11-18 14:46:22.589: INFO @log_variables: train recall: 0.950120 2019-11-18 14:46:22.589: INFO @log_variables: train f1: 0.950958 2019-11-18 14:46:22.589: INFO @log_variables: train accuracy mean: 0.953470 2019-11-18 14:46:22.589: INFO @log_variables: train loss mean: 0.128709 2019-11-18 14:46:22.589: INFO @log_variables: valid precision: 0.777949 2019-11-18 14:46:22.589: INFO @log_variables: valid recall: 0.741113 2019-11-18 14:46:22.590: INFO @log_variables: valid f1: 0.749921 2019-11-18 14:46:22.590: INFO @log_variables: valid accuracy mean: 0.774095 2019-11-18 14:46:22.590: INFO @log_variables: valid loss mean: 1.151689 2019-11-18 14:46:22.590: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:46:24.845: INFO @log_profile : T train: 17.727877 2019-11-18 14:46:24.845: INFO @log_profile : T valid: 0.978785 2019-11-18 14:46:24.845: INFO @log_profile : T read data: 0.701860 2019-11-18 14:46:24.846: INFO @log_profile : T hooks: 3.755781 2019-11-18 14:46:24.846: INFO @main_loop : Epoch 164 done 2019-11-18 14:46:24.846: INFO @main_loop : Training epoch 165 2019-11-18 14:46:45.836: INFO @log_variables: train precision: 0.951062 2019-11-18 14:46:45.836: INFO @log_variables: train recall: 0.949756 2019-11-18 14:46:45.836: INFO @log_variables: train f1: 0.950377 2019-11-18 14:46:45.836: INFO @log_variables: train accuracy mean: 0.953705 2019-11-18 14:46:45.836: INFO @log_variables: train loss mean: 0.128912 2019-11-18 14:46:45.836: INFO @log_variables: valid precision: 0.774195 2019-11-18 14:46:45.836: INFO @log_variables: valid recall: 0.742642 2019-11-18 14:46:45.836: INFO @log_variables: valid f1: 0.748917 2019-11-18 14:46:45.836: INFO @log_variables: valid accuracy mean: 0.771188 2019-11-18 14:46:45.836: INFO @log_variables: valid loss mean: 1.116467 2019-11-18 14:46:45.836: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:46:45.940: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_165.ckpt 2019-11-18 14:46:48.069: INFO @log_profile : T train: 17.670314 2019-11-18 14:46:48.070: INFO @log_profile : T valid: 0.946504 2019-11-18 14:46:48.070: INFO @log_profile : T read data: 0.715799 2019-11-18 14:46:48.070: INFO @log_profile : T hooks: 3.769520 2019-11-18 14:46:48.070: INFO @main_loop : Epoch 165 done 2019-11-18 14:46:48.070: INFO @main_loop : Training epoch 166 2019-11-18 14:47:09.126: INFO @log_variables: train precision: 0.952708 2019-11-18 14:47:09.126: INFO @log_variables: train recall: 0.950664 2019-11-18 14:47:09.126: INFO @log_variables: train f1: 0.951656 2019-11-18 14:47:09.126: INFO @log_variables: train accuracy mean: 0.953831 2019-11-18 14:47:09.126: INFO @log_variables: train loss mean: 0.126575 2019-11-18 14:47:09.126: INFO @log_variables: valid precision: 0.763997 2019-11-18 14:47:09.126: INFO @log_variables: valid recall: 0.741550 2019-11-18 14:47:09.126: INFO @log_variables: valid f1: 0.745223 2019-11-18 14:47:09.126: INFO @log_variables: valid accuracy mean: 0.767263 2019-11-18 14:47:09.126: INFO @log_variables: valid loss mean: 1.126961 2019-11-18 14:47:09.126: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:47:11.546: INFO @log_profile : T train: 17.816691 2019-11-18 14:47:11.546: INFO @log_profile : T valid: 0.896089 2019-11-18 14:47:11.546: INFO @log_profile : T read data: 0.695222 2019-11-18 14:47:11.546: INFO @log_profile : T hooks: 3.947431 2019-11-18 14:47:11.546: INFO @main_loop : Epoch 166 done 2019-11-18 14:47:11.546: INFO @main_loop : Training epoch 167 2019-11-18 14:47:32.709: INFO @log_variables: train precision: 0.952287 2019-11-18 14:47:32.710: INFO @log_variables: train recall: 0.950506 2019-11-18 14:47:32.710: INFO @log_variables: train f1: 0.951363 2019-11-18 14:47:32.710: INFO @log_variables: train accuracy mean: 0.954011 2019-11-18 14:47:32.710: INFO @log_variables: train loss mean: 0.128586 2019-11-18 14:47:32.710: INFO @log_variables: valid precision: 0.772311 2019-11-18 14:47:32.710: INFO @log_variables: valid recall: 0.746815 2019-11-18 14:47:32.710: INFO @log_variables: valid f1: 0.750815 2019-11-18 14:47:32.710: INFO @log_variables: valid accuracy mean: 0.777002 2019-11-18 14:47:32.710: INFO @log_variables: valid loss mean: 1.045982 2019-11-18 14:47:32.710: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:47:35.016: INFO @log_profile : T train: 17.891509 2019-11-18 14:47:35.016: INFO @log_profile : T valid: 0.894185 2019-11-18 14:47:35.016: INFO @log_profile : T read data: 0.693769 2019-11-18 14:47:35.016: INFO @log_profile : T hooks: 3.869700 2019-11-18 14:47:35.016: INFO @main_loop : Epoch 167 done 2019-11-18 14:47:35.016: INFO @main_loop : Training epoch 168 2019-11-18 14:47:55.883: INFO @log_variables: train precision: 0.954425 2019-11-18 14:47:55.883: INFO @log_variables: train recall: 0.953249 2019-11-18 14:47:55.883: INFO @log_variables: train f1: 0.953812 2019-11-18 14:47:55.883: INFO @log_variables: train accuracy mean: 0.956172 2019-11-18 14:47:55.884: INFO @log_variables: train loss mean: 0.125951 2019-11-18 14:47:55.884: INFO @log_variables: valid precision: 0.793716 2019-11-18 14:47:55.884: INFO @log_variables: valid recall: 0.764830 2019-11-18 14:47:55.884: INFO @log_variables: valid f1: 0.773712 2019-11-18 14:47:55.884: INFO @log_variables: valid accuracy mean: 0.792412 2019-11-18 14:47:55.884: INFO @log_variables: valid loss mean: 1.013525 2019-11-18 14:47:55.884: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:47:55.982: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_best.ckpt 2019-11-18 14:47:58.287: INFO @log_profile : T train: 17.675646 2019-11-18 14:47:58.287: INFO @log_profile : T valid: 0.900360 2019-11-18 14:47:58.287: INFO @log_profile : T read data: 0.678390 2019-11-18 14:47:58.287: INFO @log_profile : T hooks: 3.901552 2019-11-18 14:47:58.287: INFO @main_loop : Epoch 168 done 2019-11-18 14:47:58.287: INFO @main_loop : Training epoch 169 2019-11-18 14:48:19.283: INFO @log_variables: train precision: 0.953758 2019-11-18 14:48:19.283: INFO @log_variables: train recall: 0.951836 2019-11-18 14:48:19.283: INFO @log_variables: train f1: 0.952770 2019-11-18 14:48:19.283: INFO @log_variables: train accuracy mean: 0.955650 2019-11-18 14:48:19.283: INFO @log_variables: train loss mean: 0.125039 2019-11-18 14:48:19.283: INFO @log_variables: valid precision: 0.767688 2019-11-18 14:48:19.283: INFO @log_variables: valid recall: 0.758456 2019-11-18 14:48:19.283: INFO @log_variables: valid f1: 0.756967 2019-11-18 14:48:19.283: INFO @log_variables: valid accuracy mean: 0.781654 2019-11-18 14:48:19.283: INFO @log_variables: valid loss mean: 1.064856 2019-11-18 14:48:19.283: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:48:21.491: INFO @log_profile : T train: 17.725649 2019-11-18 14:48:21.491: INFO @log_profile : T valid: 0.919940 2019-11-18 14:48:21.491: INFO @log_profile : T read data: 0.735079 2019-11-18 14:48:21.491: INFO @log_profile : T hooks: 3.703359 2019-11-18 14:48:21.491: INFO @main_loop : Epoch 169 done 2019-11-18 14:48:21.491: INFO @main_loop : Training epoch 170 2019-11-18 14:48:42.654: INFO @log_variables: train precision: 0.953504 2019-11-18 14:48:42.654: INFO @log_variables: train recall: 0.952398 2019-11-18 14:48:42.654: INFO @log_variables: train f1: 0.952927 2019-11-18 14:48:42.654: INFO @log_variables: train accuracy mean: 0.956118 2019-11-18 14:48:42.654: INFO @log_variables: train loss mean: 0.122806 2019-11-18 14:48:42.654: INFO @log_variables: valid precision: 0.791753 2019-11-18 14:48:42.654: INFO @log_variables: valid recall: 0.750636 2019-11-18 14:48:42.654: INFO @log_variables: valid f1: 0.761629 2019-11-18 14:48:42.654: INFO @log_variables: valid accuracy mean: 0.783399 2019-11-18 14:48:42.654: INFO @log_variables: valid loss mean: 1.052492 2019-11-18 14:48:42.654: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:48:42.760: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_170.ckpt 2019-11-18 14:48:44.973: INFO @log_profile : T train: 17.891491 2019-11-18 14:48:44.973: INFO @log_profile : T valid: 0.933152 2019-11-18 14:48:44.973: INFO @log_profile : T read data: 0.700490 2019-11-18 14:48:44.973: INFO @log_profile : T hooks: 3.837339 2019-11-18 14:48:44.973: INFO @main_loop : Epoch 170 done 2019-11-18 14:48:44.974: INFO @main_loop : Training epoch 171 2019-11-18 14:49:06.380: INFO @log_variables: train precision: 0.953953 2019-11-18 14:49:06.380: INFO @log_variables: train recall: 0.952870 2019-11-18 14:49:06.380: INFO @log_variables: train f1: 0.953395 2019-11-18 14:49:06.380: INFO @log_variables: train accuracy mean: 0.956262 2019-11-18 14:49:06.380: INFO @log_variables: train loss mean: 0.123769 2019-11-18 14:49:06.380: INFO @log_variables: valid precision: 0.793044 2019-11-18 14:49:06.380: INFO @log_variables: valid recall: 0.744640 2019-11-18 14:49:06.380: INFO @log_variables: valid f1: 0.757371 2019-11-18 14:49:06.380: INFO @log_variables: valid accuracy mean: 0.776857 2019-11-18 14:49:06.381: INFO @log_variables: valid loss mean: 1.255975 2019-11-18 14:49:06.381: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:49:08.669: INFO @log_profile : T train: 17.924820 2019-11-18 14:49:08.669: INFO @log_profile : T valid: 0.909664 2019-11-18 14:49:08.669: INFO @log_profile : T read data: 0.834802 2019-11-18 14:49:08.669: INFO @log_profile : T hooks: 3.905640 2019-11-18 14:49:08.670: INFO @main_loop : Epoch 171 done 2019-11-18 14:49:08.670: INFO @main_loop : Training epoch 172 2019-11-18 14:49:29.759: INFO @log_variables: train precision: 0.953392 2019-11-18 14:49:29.760: INFO @log_variables: train recall: 0.952130 2019-11-18 14:49:29.760: INFO @log_variables: train f1: 0.952741 2019-11-18 14:49:29.760: INFO @log_variables: train accuracy mean: 0.955668 2019-11-18 14:49:29.760: INFO @log_variables: train loss mean: 0.122864 2019-11-18 14:49:29.760: INFO @log_variables: valid precision: 0.772952 2019-11-18 14:49:29.760: INFO @log_variables: valid recall: 0.738038 2019-11-18 14:49:29.760: INFO @log_variables: valid f1: 0.742109 2019-11-18 14:49:29.760: INFO @log_variables: valid accuracy mean: 0.768716 2019-11-18 14:49:29.760: INFO @log_variables: valid loss mean: 1.283949 2019-11-18 14:49:29.760: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:49:32.169: INFO @log_profile : T train: 17.804570 2019-11-18 14:49:32.169: INFO @log_profile : T valid: 0.948310 2019-11-18 14:49:32.169: INFO @log_profile : T read data: 0.741355 2019-11-18 14:49:32.169: INFO @log_profile : T hooks: 3.884309 2019-11-18 14:49:32.169: INFO @main_loop : Epoch 172 done 2019-11-18 14:49:32.169: INFO @main_loop : Training epoch 173 2019-11-18 14:49:53.050: INFO @log_variables: train precision: 0.954072 2019-11-18 14:49:53.050: INFO @log_variables: train recall: 0.953243 2019-11-18 14:49:53.050: INFO @log_variables: train f1: 0.953640 2019-11-18 14:49:53.050: INFO @log_variables: train accuracy mean: 0.955740 2019-11-18 14:49:53.051: INFO @log_variables: train loss mean: 0.124285 2019-11-18 14:49:53.051: INFO @log_variables: valid precision: 0.773907 2019-11-18 14:49:53.051: INFO @log_variables: valid recall: 0.748180 2019-11-18 14:49:53.051: INFO @log_variables: valid f1: 0.754450 2019-11-18 14:49:53.051: INFO @log_variables: valid accuracy mean: 0.778892 2019-11-18 14:49:53.051: INFO @log_variables: valid loss mean: 1.169331 2019-11-18 14:49:53.051: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:49:55.580: INFO @log_profile : T train: 17.537390 2019-11-18 14:49:55.580: INFO @log_profile : T valid: 0.966062 2019-11-18 14:49:55.580: INFO @log_profile : T read data: 0.683548 2019-11-18 14:49:55.580: INFO @log_profile : T hooks: 4.093595 2019-11-18 14:49:55.580: INFO @main_loop : Epoch 173 done 2019-11-18 14:49:55.580: INFO @main_loop : Training epoch 174 2019-11-18 14:50:16.356: INFO @log_variables: train precision: 0.954416 2019-11-18 14:50:16.356: INFO @log_variables: train recall: 0.953158 2019-11-18 14:50:16.356: INFO @log_variables: train f1: 0.953765 2019-11-18 14:50:16.356: INFO @log_variables: train accuracy mean: 0.957109 2019-11-18 14:50:16.357: INFO @log_variables: train loss mean: 0.121920 2019-11-18 14:50:16.357: INFO @log_variables: valid precision: 0.783288 2019-11-18 14:50:16.357: INFO @log_variables: valid recall: 0.739824 2019-11-18 14:50:16.357: INFO @log_variables: valid f1: 0.750027 2019-11-18 14:50:16.357: INFO @log_variables: valid accuracy mean: 0.773804 2019-11-18 14:50:16.357: INFO @log_variables: valid loss mean: 1.222652 2019-11-18 14:50:16.357: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:50:18.614: INFO @log_profile : T train: 17.546471 2019-11-18 14:50:18.615: INFO @log_profile : T valid: 0.914021 2019-11-18 14:50:18.615: INFO @log_profile : T read data: 0.666078 2019-11-18 14:50:18.615: INFO @log_profile : T hooks: 3.789577 2019-11-18 14:50:18.615: INFO @main_loop : Epoch 174 done 2019-11-18 14:50:18.615: INFO @main_loop : Training epoch 175 2019-11-18 14:50:39.501: INFO @log_variables: train precision: 0.954733 2019-11-18 14:50:39.501: INFO @log_variables: train recall: 0.953909 2019-11-18 14:50:39.501: INFO @log_variables: train f1: 0.954299 2019-11-18 14:50:39.501: INFO @log_variables: train accuracy mean: 0.957650 2019-11-18 14:50:39.501: INFO @log_variables: train loss mean: 0.121176 2019-11-18 14:50:39.501: INFO @log_variables: valid precision: 0.777765 2019-11-18 14:50:39.501: INFO @log_variables: valid recall: 0.749960 2019-11-18 14:50:39.501: INFO @log_variables: valid f1: 0.754652 2019-11-18 14:50:39.501: INFO @log_variables: valid accuracy mean: 0.780346 2019-11-18 14:50:39.501: INFO @log_variables: valid loss mean: 1.089442 2019-11-18 14:50:39.501: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:50:39.603: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_175.ckpt 2019-11-18 14:50:41.856: INFO @log_profile : T train: 17.588630 2019-11-18 14:50:41.856: INFO @log_profile : T valid: 0.942074 2019-11-18 14:50:41.856: INFO @log_profile : T read data: 0.662972 2019-11-18 14:50:41.856: INFO @log_profile : T hooks: 3.931917 2019-11-18 14:50:41.857: INFO @main_loop : Epoch 175 done 2019-11-18 14:50:41.857: INFO @main_loop : Training epoch 176 2019-11-18 14:51:02.698: INFO @log_variables: train precision: 0.955435 2019-11-18 14:51:02.699: INFO @log_variables: train recall: 0.954210 2019-11-18 14:51:02.699: INFO @log_variables: train f1: 0.954803 2019-11-18 14:51:02.699: INFO @log_variables: train accuracy mean: 0.957379 2019-11-18 14:51:02.699: INFO @log_variables: train loss mean: 0.121091 2019-11-18 14:51:02.699: INFO @log_variables: valid precision: 0.778141 2019-11-18 14:51:02.699: INFO @log_variables: valid recall: 0.748252 2019-11-18 14:51:02.699: INFO @log_variables: valid f1: 0.754540 2019-11-18 14:51:02.699: INFO @log_variables: valid accuracy mean: 0.776566 2019-11-18 14:51:02.699: INFO @log_variables: valid loss mean: 1.206476 2019-11-18 14:51:02.699: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:51:05.915: INFO @log_profile : T train: 17.570568 2019-11-18 14:51:05.915: INFO @log_profile : T valid: 0.895045 2019-11-18 14:51:05.915: INFO @log_profile : T read data: 0.705718 2019-11-18 14:51:05.915: INFO @log_profile : T hooks: 4.770417 2019-11-18 14:51:05.915: INFO @main_loop : Epoch 176 done 2019-11-18 14:51:05.915: INFO @main_loop : Training epoch 177 2019-11-18 14:51:26.686: INFO @log_variables: train precision: 0.955470 2019-11-18 14:51:26.687: INFO @log_variables: train recall: 0.954081 2019-11-18 14:51:26.687: INFO @log_variables: train f1: 0.954752 2019-11-18 14:51:26.687: INFO @log_variables: train accuracy mean: 0.957848 2019-11-18 14:51:26.687: INFO @log_variables: train loss mean: 0.119184 2019-11-18 14:51:26.687: INFO @log_variables: valid precision: 0.774787 2019-11-18 14:51:26.687: INFO @log_variables: valid recall: 0.749591 2019-11-18 14:51:26.687: INFO @log_variables: valid f1: 0.755321 2019-11-18 14:51:26.687: INFO @log_variables: valid accuracy mean: 0.775258 2019-11-18 14:51:26.687: INFO @log_variables: valid loss mean: 1.089547 2019-11-18 14:51:26.687: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:51:29.119: INFO @log_profile : T train: 17.429253 2019-11-18 14:51:29.119: INFO @log_profile : T valid: 0.942629 2019-11-18 14:51:29.119: INFO @log_profile : T read data: 0.738338 2019-11-18 14:51:29.119: INFO @log_profile : T hooks: 3.976104 2019-11-18 14:51:29.119: INFO @main_loop : Epoch 177 done 2019-11-18 14:51:29.119: INFO @main_loop : Training epoch 178 2019-11-18 14:51:50.084: INFO @log_variables: train precision: 0.956336 2019-11-18 14:51:50.085: INFO @log_variables: train recall: 0.955010 2019-11-18 14:51:50.085: INFO @log_variables: train f1: 0.955648 2019-11-18 14:51:50.085: INFO @log_variables: train accuracy mean: 0.958280 2019-11-18 14:51:50.085: INFO @log_variables: train loss mean: 0.118344 2019-11-18 14:51:50.085: INFO @log_variables: valid precision: 0.761554 2019-11-18 14:51:50.085: INFO @log_variables: valid recall: 0.740375 2019-11-18 14:51:50.085: INFO @log_variables: valid f1: 0.741734 2019-11-18 14:51:50.085: INFO @log_variables: valid accuracy mean: 0.771624 2019-11-18 14:51:50.085: INFO @log_variables: valid loss mean: 1.169045 2019-11-18 14:51:50.085: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:51:52.429: INFO @log_profile : T train: 17.650500 2019-11-18 14:51:52.429: INFO @log_profile : T valid: 0.920374 2019-11-18 14:51:52.429: INFO @log_profile : T read data: 0.698750 2019-11-18 14:51:52.429: INFO @log_profile : T hooks: 3.919780 2019-11-18 14:51:52.429: INFO @main_loop : Epoch 178 done 2019-11-18 14:51:52.429: INFO @main_loop : Training epoch 179 2019-11-18 14:52:13.488: INFO @log_variables: train precision: 0.955927 2019-11-18 14:52:13.489: INFO @log_variables: train recall: 0.954359 2019-11-18 14:52:13.489: INFO @log_variables: train f1: 0.955125 2019-11-18 14:52:13.489: INFO @log_variables: train accuracy mean: 0.958694 2019-11-18 14:52:13.489: INFO @log_variables: train loss mean: 0.116349 2019-11-18 14:52:13.489: INFO @log_variables: valid precision: 0.765131 2019-11-18 14:52:13.489: INFO @log_variables: valid recall: 0.741057 2019-11-18 14:52:13.489: INFO @log_variables: valid f1: 0.741688 2019-11-18 14:52:13.489: INFO @log_variables: valid accuracy mean: 0.770752 2019-11-18 14:52:13.489: INFO @log_variables: valid loss mean: 1.187644 2019-11-18 14:52:13.489: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:52:15.983: INFO @log_profile : T train: 17.636361 2019-11-18 14:52:15.984: INFO @log_profile : T valid: 0.933875 2019-11-18 14:52:15.984: INFO @log_profile : T read data: 0.713198 2019-11-18 14:52:15.984: INFO @log_profile : T hooks: 4.151999 2019-11-18 14:52:15.984: INFO @main_loop : Epoch 179 done 2019-11-18 14:52:15.984: INFO @main_loop : Training epoch 180 2019-11-18 14:52:37.069: INFO @log_variables: train precision: 0.957940 2019-11-18 14:52:37.069: INFO @log_variables: train recall: 0.956466 2019-11-18 14:52:37.069: INFO @log_variables: train f1: 0.957182 2019-11-18 14:52:37.069: INFO @log_variables: train accuracy mean: 0.959253 2019-11-18 14:52:37.069: INFO @log_variables: train loss mean: 0.115440 2019-11-18 14:52:37.069: INFO @log_variables: valid precision: 0.777691 2019-11-18 14:52:37.069: INFO @log_variables: valid recall: 0.739412 2019-11-18 14:52:37.070: INFO @log_variables: valid f1: 0.747244 2019-11-18 14:52:37.070: INFO @log_variables: valid accuracy mean: 0.775113 2019-11-18 14:52:37.070: INFO @log_variables: valid loss mean: 1.235799 2019-11-18 14:52:37.070: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:52:37.182: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_180.ckpt 2019-11-18 14:52:39.664: INFO @log_profile : T train: 17.531255 2019-11-18 14:52:39.664: INFO @log_profile : T valid: 0.944959 2019-11-18 14:52:39.664: INFO @log_profile : T read data: 0.735484 2019-11-18 14:52:39.664: INFO @log_profile : T hooks: 4.345812 2019-11-18 14:52:39.664: INFO @main_loop : Epoch 180 done 2019-11-18 14:52:39.664: INFO @main_loop : Training epoch 181 2019-11-18 14:53:00.699: INFO @log_variables: train precision: 0.957389 2019-11-18 14:53:00.699: INFO @log_variables: train recall: 0.955775 2019-11-18 14:53:00.700: INFO @log_variables: train f1: 0.956562 2019-11-18 14:53:00.700: INFO @log_variables: train accuracy mean: 0.958766 2019-11-18 14:53:00.700: INFO @log_variables: train loss mean: 0.118060 2019-11-18 14:53:00.700: INFO @log_variables: valid precision: 0.789810 2019-11-18 14:53:00.700: INFO @log_variables: valid recall: 0.739083 2019-11-18 14:53:00.700: INFO @log_variables: valid f1: 0.750220 2019-11-18 14:53:00.700: INFO @log_variables: valid accuracy mean: 0.777875 2019-11-18 14:53:00.700: INFO @log_variables: valid loss mean: 1.314149 2019-11-18 14:53:00.700: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:53:02.944: INFO @log_profile : T train: 17.657941 2019-11-18 14:53:02.944: INFO @log_profile : T valid: 0.910713 2019-11-18 14:53:02.944: INFO @log_profile : T read data: 0.704801 2019-11-18 14:53:02.944: INFO @log_profile : T hooks: 3.870954 2019-11-18 14:53:02.944: INFO @main_loop : Epoch 181 done 2019-11-18 14:53:02.945: INFO @main_loop : Training epoch 182 2019-11-18 14:53:24.111: INFO @log_variables: train precision: 0.955376 2019-11-18 14:53:24.111: INFO @log_variables: train recall: 0.953978 2019-11-18 14:53:24.111: INFO @log_variables: train f1: 0.954652 2019-11-18 14:53:24.112: INFO @log_variables: train accuracy mean: 0.957523 2019-11-18 14:53:24.112: INFO @log_variables: train loss mean: 0.117991 2019-11-18 14:53:24.112: INFO @log_variables: valid precision: 0.777865 2019-11-18 14:53:24.112: INFO @log_variables: valid recall: 0.735698 2019-11-18 14:53:24.112: INFO @log_variables: valid f1: 0.742817 2019-11-18 14:53:24.112: INFO @log_variables: valid accuracy mean: 0.766100 2019-11-18 14:53:24.112: INFO @log_variables: valid loss mean: 1.346608 2019-11-18 14:53:24.112: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:53:26.233: INFO @log_profile : T train: 17.692708 2019-11-18 14:53:26.233: INFO @log_profile : T valid: 0.953972 2019-11-18 14:53:26.233: INFO @log_profile : T read data: 0.744019 2019-11-18 14:53:26.233: INFO @log_profile : T hooks: 3.776633 2019-11-18 14:53:26.233: INFO @main_loop : Epoch 182 done 2019-11-18 14:53:26.233: INFO @main_loop : Training epoch 183 2019-11-18 14:53:46.826: INFO @log_variables: train precision: 0.955376 2019-11-18 14:53:46.826: INFO @log_variables: train recall: 0.954215 2019-11-18 14:53:46.826: INFO @log_variables: train f1: 0.954781 2019-11-18 14:53:46.826: INFO @log_variables: train accuracy mean: 0.957776 2019-11-18 14:53:46.826: INFO @log_variables: train loss mean: 0.117323 2019-11-18 14:53:46.826: INFO @log_variables: valid precision: 0.787016 2019-11-18 14:53:46.827: INFO @log_variables: valid recall: 0.742631 2019-11-18 14:53:46.827: INFO @log_variables: valid f1: 0.750860 2019-11-18 14:53:46.827: INFO @log_variables: valid accuracy mean: 0.778456 2019-11-18 14:53:46.827: INFO @log_variables: valid loss mean: 1.297531 2019-11-18 14:53:46.827: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:53:49.069: INFO @log_profile : T train: 17.298612 2019-11-18 14:53:49.069: INFO @log_profile : T valid: 0.876163 2019-11-18 14:53:49.069: INFO @log_profile : T read data: 0.707637 2019-11-18 14:53:49.069: INFO @log_profile : T hooks: 3.832379 2019-11-18 14:53:49.069: INFO @main_loop : Epoch 183 done 2019-11-18 14:53:49.069: INFO @main_loop : Training epoch 184 2019-11-18 14:54:09.452: INFO @log_variables: train precision: 0.955545 2019-11-18 14:54:09.452: INFO @log_variables: train recall: 0.954157 2019-11-18 14:54:09.452: INFO @log_variables: train f1: 0.954832 2019-11-18 14:54:09.452: INFO @log_variables: train accuracy mean: 0.957650 2019-11-18 14:54:09.452: INFO @log_variables: train loss mean: 0.118112 2019-11-18 14:54:09.452: INFO @log_variables: valid precision: 0.776783 2019-11-18 14:54:09.452: INFO @log_variables: valid recall: 0.749313 2019-11-18 14:54:09.452: INFO @log_variables: valid f1: 0.751922 2019-11-18 14:54:09.452: INFO @log_variables: valid accuracy mean: 0.780055 2019-11-18 14:54:09.453: INFO @log_variables: valid loss mean: 1.151464 2019-11-18 14:54:09.453: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:54:11.696: INFO @log_profile : T train: 17.004768 2019-11-18 14:54:11.697: INFO @log_profile : T valid: 0.879598 2019-11-18 14:54:11.697: INFO @log_profile : T read data: 0.705758 2019-11-18 14:54:11.697: INFO @log_profile : T hooks: 3.912493 2019-11-18 14:54:11.697: INFO @main_loop : Epoch 184 done 2019-11-18 14:54:11.697: INFO @main_loop : Training epoch 185 2019-11-18 14:54:31.868: INFO @log_variables: train precision: 0.957341 2019-11-18 14:54:31.868: INFO @log_variables: train recall: 0.956051 2019-11-18 14:54:31.868: INFO @log_variables: train f1: 0.956676 2019-11-18 14:54:31.869: INFO @log_variables: train accuracy mean: 0.959523 2019-11-18 14:54:31.869: INFO @log_variables: train loss mean: 0.113167 2019-11-18 14:54:31.869: INFO @log_variables: valid precision: 0.772447 2019-11-18 14:54:31.869: INFO @log_variables: valid recall: 0.733921 2019-11-18 14:54:31.869: INFO @log_variables: valid f1: 0.737176 2019-11-18 14:54:31.869: INFO @log_variables: valid accuracy mean: 0.762611 2019-11-18 14:54:31.869: INFO @log_variables: valid loss mean: 1.274955 2019-11-18 14:54:31.869: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:54:31.960: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_185.ckpt 2019-11-18 14:54:34.323: INFO @log_profile : T train: 16.919447 2019-11-18 14:54:34.323: INFO @log_profile : T valid: 0.846298 2019-11-18 14:54:34.323: INFO @log_profile : T read data: 0.694821 2019-11-18 14:54:34.323: INFO @log_profile : T hooks: 4.048615 2019-11-18 14:54:34.323: INFO @main_loop : Epoch 185 done 2019-11-18 14:54:34.323: INFO @main_loop : Training epoch 186 2019-11-18 14:54:54.697: INFO @log_variables: train precision: 0.956480 2019-11-18 14:54:54.697: INFO @log_variables: train recall: 0.954616 2019-11-18 14:54:54.697: INFO @log_variables: train f1: 0.955511 2019-11-18 14:54:54.697: INFO @log_variables: train accuracy mean: 0.957614 2019-11-18 14:54:54.697: INFO @log_variables: train loss mean: 0.118892 2019-11-18 14:54:54.697: INFO @log_variables: valid precision: 0.780445 2019-11-18 14:54:54.697: INFO @log_variables: valid recall: 0.740757 2019-11-18 14:54:54.698: INFO @log_variables: valid f1: 0.741371 2019-11-18 14:54:54.698: INFO @log_variables: valid accuracy mean: 0.772351 2019-11-18 14:54:54.698: INFO @log_variables: valid loss mean: 1.276537 2019-11-18 14:54:54.698: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:54:57.181: INFO @log_profile : T train: 17.113648 2019-11-18 14:54:57.181: INFO @log_profile : T valid: 0.851598 2019-11-18 14:54:57.181: INFO @log_profile : T read data: 0.677391 2019-11-18 14:54:57.181: INFO @log_profile : T hooks: 4.098316 2019-11-18 14:54:57.181: INFO @main_loop : Epoch 186 done 2019-11-18 14:54:57.181: INFO @main_loop : Training epoch 187 2019-11-18 14:55:17.532: INFO @log_variables: train precision: 0.956085 2019-11-18 14:55:17.533: INFO @log_variables: train recall: 0.955519 2019-11-18 14:55:17.533: INFO @log_variables: train f1: 0.955789 2019-11-18 14:55:17.533: INFO @log_variables: train accuracy mean: 0.958478 2019-11-18 14:55:17.533: INFO @log_variables: train loss mean: 0.117869 2019-11-18 14:55:17.533: INFO @log_variables: valid precision: 0.770924 2019-11-18 14:55:17.533: INFO @log_variables: valid recall: 0.741605 2019-11-18 14:55:17.533: INFO @log_variables: valid f1: 0.745136 2019-11-18 14:55:17.533: INFO @log_variables: valid accuracy mean: 0.770897 2019-11-18 14:55:17.533: INFO @log_variables: valid loss mean: 1.249508 2019-11-18 14:55:17.533: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:55:20.013: INFO @log_profile : T train: 17.036796 2019-11-18 14:55:20.013: INFO @log_profile : T valid: 0.874333 2019-11-18 14:55:20.013: INFO @log_profile : T read data: 0.741257 2019-11-18 14:55:20.013: INFO @log_profile : T hooks: 4.058471 2019-11-18 14:55:20.013: INFO @main_loop : Epoch 187 done 2019-11-18 14:55:20.014: INFO @main_loop : Training epoch 188 2019-11-18 14:55:40.346: INFO @log_variables: train precision: 0.957065 2019-11-18 14:55:40.347: INFO @log_variables: train recall: 0.955849 2019-11-18 14:55:40.347: INFO @log_variables: train f1: 0.956440 2019-11-18 14:55:40.347: INFO @log_variables: train accuracy mean: 0.959469 2019-11-18 14:55:40.347: INFO @log_variables: train loss mean: 0.115514 2019-11-18 14:55:40.347: INFO @log_variables: valid precision: 0.774634 2019-11-18 14:55:40.347: INFO @log_variables: valid recall: 0.747307 2019-11-18 14:55:40.347: INFO @log_variables: valid f1: 0.751343 2019-11-18 14:55:40.347: INFO @log_variables: valid accuracy mean: 0.782817 2019-11-18 14:55:40.347: INFO @log_variables: valid loss mean: 1.105601 2019-11-18 14:55:40.347: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:55:42.499: INFO @log_profile : T train: 17.092382 2019-11-18 14:55:42.499: INFO @log_profile : T valid: 0.858513 2019-11-18 14:55:42.500: INFO @log_profile : T read data: 0.704974 2019-11-18 14:55:42.500: INFO @log_profile : T hooks: 3.713812 2019-11-18 14:55:42.500: INFO @main_loop : Epoch 188 done 2019-11-18 14:55:42.500: INFO @main_loop : Training epoch 189 2019-11-18 14:56:02.812: INFO @log_variables: train precision: 0.957976 2019-11-18 14:56:02.812: INFO @log_variables: train recall: 0.956541 2019-11-18 14:56:02.812: INFO @log_variables: train f1: 0.957238 2019-11-18 14:56:02.812: INFO @log_variables: train accuracy mean: 0.960063 2019-11-18 14:56:02.812: INFO @log_variables: train loss mean: 0.113008 2019-11-18 14:56:02.812: INFO @log_variables: valid precision: 0.772630 2019-11-18 14:56:02.812: INFO @log_variables: valid recall: 0.737365 2019-11-18 14:56:02.812: INFO @log_variables: valid f1: 0.741394 2019-11-18 14:56:02.812: INFO @log_variables: valid accuracy mean: 0.766245 2019-11-18 14:56:02.813: INFO @log_variables: valid loss mean: 1.289089 2019-11-18 14:56:02.813: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:56:05.074: INFO @log_profile : T train: 17.046604 2019-11-18 14:56:05.074: INFO @log_profile : T valid: 0.868032 2019-11-18 14:56:05.074: INFO @log_profile : T read data: 0.717412 2019-11-18 14:56:05.075: INFO @log_profile : T hooks: 3.822758 2019-11-18 14:56:05.075: INFO @main_loop : Epoch 189 done 2019-11-18 14:56:05.075: INFO @main_loop : Training epoch 190 2019-11-18 14:56:25.384: INFO @log_variables: train precision: 0.957295 2019-11-18 14:56:25.385: INFO @log_variables: train recall: 0.956515 2019-11-18 14:56:25.385: INFO @log_variables: train f1: 0.956897 2019-11-18 14:56:25.385: INFO @log_variables: train accuracy mean: 0.959487 2019-11-18 14:56:25.385: INFO @log_variables: train loss mean: 0.115338 2019-11-18 14:56:25.385: INFO @log_variables: valid precision: 0.769858 2019-11-18 14:56:25.385: INFO @log_variables: valid recall: 0.738808 2019-11-18 14:56:25.385: INFO @log_variables: valid f1: 0.743458 2019-11-18 14:56:25.385: INFO @log_variables: valid accuracy mean: 0.769879 2019-11-18 14:56:25.385: INFO @log_variables: valid loss mean: 1.209559 2019-11-18 14:56:25.385: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:56:25.477: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_190.ckpt 2019-11-18 14:56:27.763: INFO @log_profile : T train: 17.090772 2019-11-18 14:56:27.763: INFO @log_profile : T valid: 0.856452 2019-11-18 14:56:27.763: INFO @log_profile : T read data: 0.670452 2019-11-18 14:56:27.764: INFO @log_profile : T hooks: 3.952168 2019-11-18 14:56:27.764: INFO @main_loop : Epoch 190 done 2019-11-18 14:56:27.764: INFO @main_loop : Training epoch 191 2019-11-18 14:56:47.954: INFO @log_variables: train precision: 0.958676 2019-11-18 14:56:47.954: INFO @log_variables: train recall: 0.957673 2019-11-18 14:56:47.954: INFO @log_variables: train f1: 0.958158 2019-11-18 14:56:47.954: INFO @log_variables: train accuracy mean: 0.960460 2019-11-18 14:56:47.955: INFO @log_variables: train loss mean: 0.110836 2019-11-18 14:56:47.955: INFO @log_variables: valid precision: 0.767015 2019-11-18 14:56:47.955: INFO @log_variables: valid recall: 0.738262 2019-11-18 14:56:47.955: INFO @log_variables: valid f1: 0.745754 2019-11-18 14:56:47.955: INFO @log_variables: valid accuracy mean: 0.773223 2019-11-18 14:56:47.955: INFO @log_variables: valid loss mean: 1.166910 2019-11-18 14:56:47.955: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:56:50.268: INFO @log_profile : T train: 17.009771 2019-11-18 14:56:50.268: INFO @log_profile : T valid: 0.846193 2019-11-18 14:56:50.268: INFO @log_profile : T read data: 0.650438 2019-11-18 14:56:50.268: INFO @log_profile : T hooks: 3.881744 2019-11-18 14:56:50.268: INFO @main_loop : Epoch 191 done 2019-11-18 14:56:50.268: INFO @main_loop : Training epoch 192 2019-11-18 14:57:10.648: INFO @log_variables: train precision: 0.958402 2019-11-18 14:57:10.649: INFO @log_variables: train recall: 0.957282 2019-11-18 14:57:10.649: INFO @log_variables: train f1: 0.957828 2019-11-18 14:57:10.649: INFO @log_variables: train accuracy mean: 0.960117 2019-11-18 14:57:10.649: INFO @log_variables: train loss mean: 0.112135 2019-11-18 14:57:10.649: INFO @log_variables: valid precision: 0.787233 2019-11-18 14:57:10.649: INFO @log_variables: valid recall: 0.737073 2019-11-18 14:57:10.649: INFO @log_variables: valid f1: 0.751519 2019-11-18 14:57:10.649: INFO @log_variables: valid accuracy mean: 0.772787 2019-11-18 14:57:10.649: INFO @log_variables: valid loss mean: 1.256114 2019-11-18 14:57:10.649: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:57:13.020: INFO @log_profile : T train: 17.095577 2019-11-18 14:57:13.020: INFO @log_profile : T valid: 0.957689 2019-11-18 14:57:13.021: INFO @log_profile : T read data: 0.630971 2019-11-18 14:57:13.021: INFO @log_profile : T hooks: 3.952581 2019-11-18 14:57:13.021: INFO @main_loop : Epoch 192 done 2019-11-18 14:57:13.021: INFO @main_loop : Training epoch 193 2019-11-18 14:57:33.264: INFO @log_variables: train precision: 0.956954 2019-11-18 14:57:33.265: INFO @log_variables: train recall: 0.955800 2019-11-18 14:57:33.265: INFO @log_variables: train f1: 0.956365 2019-11-18 14:57:33.265: INFO @log_variables: train accuracy mean: 0.959649 2019-11-18 14:57:33.265: INFO @log_variables: train loss mean: 0.113366 2019-11-18 14:57:33.265: INFO @log_variables: valid precision: 0.779590 2019-11-18 14:57:33.265: INFO @log_variables: valid recall: 0.757135 2019-11-18 14:57:33.265: INFO @log_variables: valid f1: 0.760483 2019-11-18 14:57:33.265: INFO @log_variables: valid accuracy mean: 0.780491 2019-11-18 14:57:33.265: INFO @log_variables: valid loss mean: 1.136204 2019-11-18 14:57:33.265: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:57:35.499: INFO @log_profile : T train: 17.013227 2019-11-18 14:57:35.499: INFO @log_profile : T valid: 0.831170 2019-11-18 14:57:35.499: INFO @log_profile : T read data: 0.750906 2019-11-18 14:57:35.499: INFO @log_profile : T hooks: 3.768239 2019-11-18 14:57:35.499: INFO @main_loop : Epoch 193 done 2019-11-18 14:57:35.499: INFO @main_loop : Training epoch 194 2019-11-18 14:57:55.976: INFO @log_variables: train precision: 0.958047 2019-11-18 14:57:55.976: INFO @log_variables: train recall: 0.957403 2019-11-18 14:57:55.976: INFO @log_variables: train f1: 0.957712 2019-11-18 14:57:55.976: INFO @log_variables: train accuracy mean: 0.960478 2019-11-18 14:57:55.976: INFO @log_variables: train loss mean: 0.111913 2019-11-18 14:57:55.976: INFO @log_variables: valid precision: 0.787313 2019-11-18 14:57:55.976: INFO @log_variables: valid recall: 0.744268 2019-11-18 14:57:55.976: INFO @log_variables: valid f1: 0.758209 2019-11-18 14:57:55.976: INFO @log_variables: valid accuracy mean: 0.782236 2019-11-18 14:57:55.976: INFO @log_variables: valid loss mean: 1.167986 2019-11-18 14:57:55.976: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:57:58.153: INFO @log_profile : T train: 17.256659 2019-11-18 14:57:58.153: INFO @log_profile : T valid: 0.852702 2019-11-18 14:57:58.153: INFO @log_profile : T read data: 0.678344 2019-11-18 14:57:58.153: INFO @log_profile : T hooks: 3.747141 2019-11-18 14:57:58.153: INFO @main_loop : Epoch 194 done 2019-11-18 14:57:58.153: INFO @main_loop : Training epoch 195 2019-11-18 14:58:18.598: INFO @log_variables: train precision: 0.957351 2019-11-18 14:58:18.598: INFO @log_variables: train recall: 0.956171 2019-11-18 14:58:18.598: INFO @log_variables: train f1: 0.956740 2019-11-18 14:58:18.598: INFO @log_variables: train accuracy mean: 0.959559 2019-11-18 14:58:18.599: INFO @log_variables: train loss mean: 0.114318 2019-11-18 14:58:18.599: INFO @log_variables: valid precision: 0.776444 2019-11-18 14:58:18.599: INFO @log_variables: valid recall: 0.755906 2019-11-18 14:58:18.599: INFO @log_variables: valid f1: 0.760931 2019-11-18 14:58:18.599: INFO @log_variables: valid accuracy mean: 0.785434 2019-11-18 14:58:18.599: INFO @log_variables: valid loss mean: 1.097814 2019-11-18 14:58:18.599: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:58:18.690: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_195.ckpt 2019-11-18 14:58:21.349: INFO @log_profile : T train: 17.150763 2019-11-18 14:58:21.349: INFO @log_profile : T valid: 0.844444 2019-11-18 14:58:21.349: INFO @log_profile : T read data: 0.695785 2019-11-18 14:58:21.349: INFO @log_profile : T hooks: 4.385342 2019-11-18 14:58:21.349: INFO @main_loop : Epoch 195 done 2019-11-18 14:58:21.350: INFO @main_loop : Training epoch 196 2019-11-18 14:58:42.051: INFO @log_variables: train precision: 0.957373 2019-11-18 14:58:42.051: INFO @log_variables: train recall: 0.955886 2019-11-18 14:58:42.051: INFO @log_variables: train f1: 0.956616 2019-11-18 14:58:42.051: INFO @log_variables: train accuracy mean: 0.959343 2019-11-18 14:58:42.051: INFO @log_variables: train loss mean: 0.115092 2019-11-18 14:58:42.051: INFO @log_variables: valid precision: 0.778645 2019-11-18 14:58:42.052: INFO @log_variables: valid recall: 0.727839 2019-11-18 14:58:42.052: INFO @log_variables: valid f1: 0.740515 2019-11-18 14:58:42.052: INFO @log_variables: valid accuracy mean: 0.766681 2019-11-18 14:58:42.052: INFO @log_variables: valid loss mean: 1.196014 2019-11-18 14:58:42.052: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:58:44.737: INFO @log_profile : T train: 17.279572 2019-11-18 14:58:44.737: INFO @log_profile : T valid: 0.932565 2019-11-18 14:58:44.737: INFO @log_profile : T read data: 0.714641 2019-11-18 14:58:44.737: INFO @log_profile : T hooks: 4.337745 2019-11-18 14:58:44.737: INFO @main_loop : Epoch 196 done 2019-11-18 14:58:44.737: INFO @main_loop : Training epoch 197 2019-11-18 14:59:05.486: INFO @log_variables: train precision: 0.959560 2019-11-18 14:59:05.486: INFO @log_variables: train recall: 0.958459 2019-11-18 14:59:05.486: INFO @log_variables: train f1: 0.958994 2019-11-18 14:59:05.486: INFO @log_variables: train accuracy mean: 0.961198 2019-11-18 14:59:05.486: INFO @log_variables: train loss mean: 0.108363 2019-11-18 14:59:05.486: INFO @log_variables: valid precision: 0.771450 2019-11-18 14:59:05.486: INFO @log_variables: valid recall: 0.746278 2019-11-18 14:59:05.486: INFO @log_variables: valid f1: 0.751686 2019-11-18 14:59:05.486: INFO @log_variables: valid accuracy mean: 0.778456 2019-11-18 14:59:05.486: INFO @log_variables: valid loss mean: 1.131688 2019-11-18 14:59:05.486: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:59:07.798: INFO @log_profile : T train: 17.406005 2019-11-18 14:59:07.798: INFO @log_profile : T valid: 0.955510 2019-11-18 14:59:07.798: INFO @log_profile : T read data: 0.695075 2019-11-18 14:59:07.798: INFO @log_profile : T hooks: 3.882935 2019-11-18 14:59:07.798: INFO @main_loop : Epoch 197 done 2019-11-18 14:59:07.798: INFO @main_loop : Training epoch 198 2019-11-18 14:59:28.387: INFO @log_variables: train precision: 0.959748 2019-11-18 14:59:28.387: INFO @log_variables: train recall: 0.958378 2019-11-18 14:59:28.387: INFO @log_variables: train f1: 0.959044 2019-11-18 14:59:28.387: INFO @log_variables: train accuracy mean: 0.961685 2019-11-18 14:59:28.387: INFO @log_variables: train loss mean: 0.108772 2019-11-18 14:59:28.387: INFO @log_variables: valid precision: 0.772947 2019-11-18 14:59:28.387: INFO @log_variables: valid recall: 0.753900 2019-11-18 14:59:28.387: INFO @log_variables: valid f1: 0.757839 2019-11-18 14:59:28.387: INFO @log_variables: valid accuracy mean: 0.776712 2019-11-18 14:59:28.387: INFO @log_variables: valid loss mean: 1.212064 2019-11-18 14:59:28.387: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:59:30.886: INFO @log_profile : T train: 17.193501 2019-11-18 14:59:30.886: INFO @log_profile : T valid: 0.890622 2019-11-18 14:59:30.886: INFO @log_profile : T read data: 0.672089 2019-11-18 14:59:30.887: INFO @log_profile : T hooks: 4.208672 2019-11-18 14:59:30.887: INFO @main_loop : Epoch 198 done 2019-11-18 14:59:30.887: INFO @main_loop : Training epoch 199 2019-11-18 14:59:51.872: INFO @log_variables: train precision: 0.959245 2019-11-18 14:59:51.873: INFO @log_variables: train recall: 0.957747 2019-11-18 14:59:51.873: INFO @log_variables: train f1: 0.958476 2019-11-18 14:59:51.873: INFO @log_variables: train accuracy mean: 0.961432 2019-11-18 14:59:51.873: INFO @log_variables: train loss mean: 0.108735 2019-11-18 14:59:51.873: INFO @log_variables: valid precision: 0.785550 2019-11-18 14:59:51.873: INFO @log_variables: valid recall: 0.762474 2019-11-18 14:59:51.873: INFO @log_variables: valid f1: 0.770665 2019-11-18 14:59:51.873: INFO @log_variables: valid accuracy mean: 0.789068 2019-11-18 14:59:51.873: INFO @log_variables: valid loss mean: 1.053313 2019-11-18 14:59:51.873: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 14:59:54.018: INFO @log_profile : T train: 17.749695 2019-11-18 14:59:54.018: INFO @log_profile : T valid: 0.852069 2019-11-18 14:59:54.018: INFO @log_profile : T read data: 0.749774 2019-11-18 14:59:54.018: INFO @log_profile : T hooks: 3.661403 2019-11-18 14:59:54.018: INFO @main_loop : Epoch 199 done 2019-11-18 14:59:54.018: INFO @main_loop : Training epoch 200 2019-11-18 15:00:14.656: INFO @log_variables: train precision: 0.959257 2019-11-18 15:00:14.656: INFO @log_variables: train recall: 0.958650 2019-11-18 15:00:14.656: INFO @log_variables: train f1: 0.958944 2019-11-18 15:00:14.656: INFO @log_variables: train accuracy mean: 0.962081 2019-11-18 15:00:14.656: INFO @log_variables: train loss mean: 0.110061 2019-11-18 15:00:14.657: INFO @log_variables: valid precision: 0.775569 2019-11-18 15:00:14.657: INFO @log_variables: valid recall: 0.740145 2019-11-18 15:00:14.657: INFO @log_variables: valid f1: 0.750815 2019-11-18 15:00:14.657: INFO @log_variables: valid accuracy mean: 0.769007 2019-11-18 15:00:14.657: INFO @log_variables: valid loss mean: 1.181682 2019-11-18 15:00:14.657: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson 2019-11-18 15:00:14.657: INFO @stop_after : EpochStopperHook triggered 2019-11-18 15:00:14.769: INFO @save : Model saved to: ./log/Emotions-Images80-LargeData_goofy-wilson/model_200.ckpt 2019-11-18 15:00:17.228: INFO @log_profile : T train: 17.251227 2019-11-18 15:00:17.228: INFO @log_profile : T valid: 0.861116 2019-11-18 15:00:17.228: INFO @log_profile : T read data: 0.767682 2019-11-18 15:00:17.228: INFO @log_profile : T hooks: 4.205699 2019-11-18 15:00:17.228: INFO @main_loop : Training terminated: Training terminated after epoch 200 2019-11-18 15:00:17.232: INFO @log_dir : Output dir: ./log/Emotions-Images80-LargeData_goofy-wilson