2019-11-12 13:44:25.501: INFO @api : Creating dataset 2019-11-12 13:44:27.507: 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. 2019-11-12 13:44:29.063: INFO @api : HeadPoseDataset created 2019-11-12 13:44:29.063: INFO @api : Creating a model 2019-11-12 13:44:29.081: INFO @model : Creating TF model on 1 GPU devices 2019-11-12 13:44:29.082: 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. 2019-11-12 13:44:29.521: 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. 2019-11-12 13:44:29.522: 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. 2019-11-12 13:44:29.522: 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. 2019-11-12 13:44:29.526: INFO @head_pose : Building BasicModel for 2 classes 2019-11-12 13:44:29.713: 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 2019-11-12 13:44:29.798: 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 2019-11-12 13:44:29.872: 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 2019-11-12 13:44:29.928: 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 2019-11-12 13:44:30.007: 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 2019-11-12 13:44:30.092: 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 2019-11-12 13:44:30.186: 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 2019-11-12 13:44:30.233: 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 2019-11-12 13:44:30.312: 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 2019-11-12 13:44:30.401: 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 2019-11-12 13:44:30.483: 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 2019-11-12 13:44:30.534: 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 2019-11-12 13:44:30.621: 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 2019-11-12 13:44:30.703: 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 2019-11-12 13:44:30.782: 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 2019-11-12 13:44:30.834: 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 2019-11-12 13:44:30.915: 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 2019-11-12 13:44:30.922: WARNING @deprecation : From /home/ala/faces/models/head_pose.py:22: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead. 2019-11-12 13:44:30.938: 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' 2019-11-12 13:44:30.944: WARNING @deprecation : From /home/ala/faces/models/head_pose.py:23: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.dense instead. 2019-11-12 13:44:30.945: 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 2019-11-12 13:44:31.048: 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 2019-11-12 13:44:31.052: INFO @head_pose : (?, 2) 2019-11-12 13:44:31.053: INFO @head_pose : (?,) 2019-11-12 13:44:31.457: 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. 2019-11-12 13:44:31.912: INFO @model : Number of parameters: 569090 2019-11-12 13:44:31.913: INFO @api : BasicModel created 2019-11-12 13:44:31.913: INFO @api : Creating hooks 2019-11-12 13:44:31.922: WARNING @abstract_hook: Argument `streams` was not recognized by `ClassificationMetrics`. Recognized arguments are `['predicted_variable', 'gt_variable', 'f1_average', 'var_prefix', 'kwargs']`. 2019-11-12 13:44:31.923: INFO @api : ClassificationMetrics created 2019-11-12 13:44:31.923: INFO @api : ComputeStats created 2019-11-12 13:44:31.924: INFO @api : LogVariables created 2019-11-12 13:44:31.925: INFO @api : LogProfile created 2019-11-12 13:44:31.926: INFO @api : LogDir created 2019-11-12 13:44:31.926: 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. 2019-11-12 13:44:31.926: INFO @api : WriteTensorBoard created 2019-11-12 13:44:31.927: INFO @api : StopAfter created 2019-11-12 13:44:31.928: INFO @api : ShowProgress created 2019-11-12 13:44:31.929: INFO @api : SaveBest created 2019-11-12 13:44:31.931: INFO @api : SaveHeadPosePredictions created 2019-11-12 13:44:31.931: INFO @api : SaveHeadPosePredictions created 2019-11-12 13:44:31.933: 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']`. 2019-11-12 13:44:31.933: INFO @api : SaveConfusionMatrix created 2019-11-12 13:44:31.933: WARNING @api : TrainingTrace hook added between hooks. Add it to your config.yaml to suppress this warning. 2019-11-12 13:44:31.933: INFO @api : Creating main loop 2019-11-12 13:44:31.933: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 13:44:31.934: INFO @main_loop : Training epoch 1 2019-11-12 13:44:37.082: 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: ['box_points', 'filenames', 'ids'] 2019-11-12 13:51:50.390: INFO @log_variables: train precision: 0.813314 2019-11-12 13:51:50.390: INFO @log_variables: train recall: 0.783764 2019-11-12 13:51:50.390: INFO @log_variables: train f1: 0.791561 2019-11-12 13:51:50.391: INFO @log_variables: train accuracy mean: 0.806459 2019-11-12 13:51:50.391: INFO @log_variables: train loss mean: 0.403759 2019-11-12 13:51:50.391: INFO @log_variables: valid precision: 0.876966 2019-11-12 13:51:50.391: INFO @log_variables: valid recall: 0.880698 2019-11-12 13:51:50.391: INFO @log_variables: valid f1: 0.878630 2019-11-12 13:51:50.391: INFO @log_variables: valid accuracy mean: 0.881892 2019-11-12 13:51:50.391: INFO @log_variables: valid loss mean: 0.284806 2019-11-12 13:51:50.391: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 13:51:50.394: 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. 2019-11-12 13:51:50.609: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 13:51:51.510: INFO @log_profile : T train: 25.528393 2019-11-12 13:51:51.510: INFO @log_profile : T valid: 2.586579 2019-11-12 13:51:51.510: INFO @log_profile : T read data: 409.026609 2019-11-12 13:51:51.510: INFO @log_profile : T hooks: 2.183877 2019-11-12 13:51:51.510: INFO @main_loop : Epoch 1 done 2019-11-12 13:51:51.510: INFO @main_loop : Training epoch 2 2019-11-12 13:59:01.056: INFO @log_variables: train precision: 0.885809 2019-11-12 13:59:01.056: INFO @log_variables: train recall: 0.884828 2019-11-12 13:59:01.056: INFO @log_variables: train f1: 0.885308 2019-11-12 13:59:01.057: INFO @log_variables: train accuracy mean: 0.889250 2019-11-12 13:59:01.057: INFO @log_variables: train loss mean: 0.272439 2019-11-12 13:59:01.057: INFO @log_variables: valid precision: 0.893366 2019-11-12 13:59:01.057: INFO @log_variables: valid recall: 0.878296 2019-11-12 13:59:01.057: INFO @log_variables: valid f1: 0.884039 2019-11-12 13:59:01.057: INFO @log_variables: valid accuracy mean: 0.889681 2019-11-12 13:59:01.057: INFO @log_variables: valid loss mean: 0.273150 2019-11-12 13:59:01.057: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 13:59:01.163: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 13:59:01.979: INFO @log_profile : T train: 24.370584 2019-11-12 13:59:01.980: INFO @log_profile : T valid: 2.534714 2019-11-12 13:59:01.980: INFO @log_profile : T read data: 401.241665 2019-11-12 13:59:01.980: INFO @log_profile : T hooks: 2.072178 2019-11-12 13:59:01.980: INFO @main_loop : Epoch 2 done 2019-11-12 13:59:01.980: INFO @main_loop : Training epoch 3 2019-11-12 14:06:11.237: INFO @log_variables: train precision: 0.895554 2019-11-12 14:06:11.237: INFO @log_variables: train recall: 0.895052 2019-11-12 14:06:11.237: INFO @log_variables: train f1: 0.895300 2019-11-12 14:06:11.237: INFO @log_variables: train accuracy mean: 0.898835 2019-11-12 14:06:11.237: INFO @log_variables: train loss mean: 0.249825 2019-11-12 14:06:11.237: INFO @log_variables: valid precision: 0.890722 2019-11-12 14:06:11.237: INFO @log_variables: valid recall: 0.899492 2019-11-12 14:06:11.237: INFO @log_variables: valid f1: 0.893677 2019-11-12 14:06:11.238: INFO @log_variables: valid accuracy mean: 0.895751 2019-11-12 14:06:11.238: INFO @log_variables: valid loss mean: 0.255875 2019-11-12 14:06:11.238: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:06:11.342: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 14:06:12.396: INFO @log_profile : T train: 24.405613 2019-11-12 14:06:12.396: INFO @log_profile : T valid: 2.563092 2019-11-12 14:06:12.396: INFO @log_profile : T read data: 400.958375 2019-11-12 14:06:12.396: INFO @log_profile : T hooks: 2.293736 2019-11-12 14:06:12.396: INFO @main_loop : Epoch 3 done 2019-11-12 14:06:12.396: INFO @main_loop : Training epoch 4 2019-11-12 14:13:10.351: INFO @log_variables: train precision: 0.900973 2019-11-12 14:13:10.352: INFO @log_variables: train recall: 0.901300 2019-11-12 14:13:10.352: INFO @log_variables: train f1: 0.901135 2019-11-12 14:13:10.352: INFO @log_variables: train accuracy mean: 0.904374 2019-11-12 14:13:10.352: INFO @log_variables: train loss mean: 0.237332 2019-11-12 14:13:10.352: INFO @log_variables: valid precision: 0.906859 2019-11-12 14:13:10.352: INFO @log_variables: valid recall: 0.897624 2019-11-12 14:13:10.352: INFO @log_variables: valid f1: 0.901514 2019-11-12 14:13:10.352: INFO @log_variables: valid accuracy mean: 0.905665 2019-11-12 14:13:10.352: INFO @log_variables: valid loss mean: 0.238799 2019-11-12 14:13:10.352: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:13:10.446: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 14:13:11.342: INFO @log_profile : T train: 24.518321 2019-11-12 14:13:11.343: INFO @log_profile : T valid: 2.591282 2019-11-12 14:13:11.343: INFO @log_profile : T read data: 389.513523 2019-11-12 14:13:11.343: INFO @log_profile : T hooks: 2.127198 2019-11-12 14:13:11.343: INFO @main_loop : Epoch 4 done 2019-11-12 14:13:11.343: INFO @main_loop : Training epoch 5 2019-11-12 14:20:15.202: INFO @log_variables: train precision: 0.905454 2019-11-12 14:20:15.202: INFO @log_variables: train recall: 0.905512 2019-11-12 14:20:15.202: INFO @log_variables: train f1: 0.905483 2019-11-12 14:20:15.202: INFO @log_variables: train accuracy mean: 0.908610 2019-11-12 14:20:15.203: INFO @log_variables: train loss mean: 0.226232 2019-11-12 14:20:15.203: INFO @log_variables: valid precision: 0.903574 2019-11-12 14:20:15.203: INFO @log_variables: valid recall: 0.907919 2019-11-12 14:20:15.203: INFO @log_variables: valid f1: 0.905496 2019-11-12 14:20:15.203: INFO @log_variables: valid accuracy mean: 0.907992 2019-11-12 14:20:15.203: INFO @log_variables: valid loss mean: 0.231112 2019-11-12 14:20:15.203: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:20:15.316: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 14:20:16.217: INFO @log_profile : T train: 24.326580 2019-11-12 14:20:16.217: INFO @log_profile : T valid: 2.571374 2019-11-12 14:20:16.217: INFO @log_profile : T read data: 395.619270 2019-11-12 14:20:16.217: INFO @log_profile : T hooks: 2.152084 2019-11-12 14:20:16.217: INFO @main_loop : Epoch 5 done 2019-11-12 14:20:16.217: INFO @main_loop : Training epoch 6 2019-11-12 14:27:22.803: INFO @log_variables: train precision: 0.908498 2019-11-12 14:27:22.803: INFO @log_variables: train recall: 0.908804 2019-11-12 14:27:22.803: INFO @log_variables: train f1: 0.908650 2019-11-12 14:27:22.803: INFO @log_variables: train accuracy mean: 0.911645 2019-11-12 14:27:22.803: INFO @log_variables: train loss mean: 0.219163 2019-11-12 14:27:22.803: INFO @log_variables: valid precision: 0.901641 2019-11-12 14:27:22.803: INFO @log_variables: valid recall: 0.910468 2019-11-12 14:27:22.803: INFO @log_variables: valid f1: 0.904687 2019-11-12 14:27:22.804: INFO @log_variables: valid accuracy mean: 0.906576 2019-11-12 14:27:22.804: INFO @log_variables: valid loss mean: 0.230018 2019-11-12 14:27:22.804: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:27:23.661: INFO @log_profile : T train: 24.321895 2019-11-12 14:27:23.661: INFO @log_profile : T valid: 2.551125 2019-11-12 14:27:23.661: INFO @log_profile : T read data: 398.386711 2019-11-12 14:27:23.661: INFO @log_profile : T hooks: 1.990508 2019-11-12 14:27:23.662: INFO @main_loop : Epoch 6 done 2019-11-12 14:27:23.662: INFO @main_loop : Training epoch 7 2019-11-12 14:34:21.181: INFO @log_variables: train precision: 0.912144 2019-11-12 14:34:21.181: INFO @log_variables: train recall: 0.912795 2019-11-12 14:34:21.181: INFO @log_variables: train f1: 0.912465 2019-11-12 14:34:21.181: INFO @log_variables: train accuracy mean: 0.915300 2019-11-12 14:34:21.181: INFO @log_variables: train loss mean: 0.212863 2019-11-12 14:34:21.181: INFO @log_variables: valid precision: 0.909552 2019-11-12 14:34:21.181: INFO @log_variables: valid recall: 0.912053 2019-11-12 14:34:21.181: INFO @log_variables: valid f1: 0.910727 2019-11-12 14:34:21.181: INFO @log_variables: valid accuracy mean: 0.913303 2019-11-12 14:34:21.181: INFO @log_variables: valid loss mean: 0.220616 2019-11-12 14:34:21.182: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:34:21.343: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 14:34:22.201: INFO @log_profile : T train: 24.319710 2019-11-12 14:34:22.201: INFO @log_profile : T valid: 2.546830 2019-11-12 14:34:22.202: INFO @log_profile : T read data: 389.261980 2019-11-12 14:34:22.202: INFO @log_profile : T hooks: 2.212519 2019-11-12 14:34:22.202: INFO @main_loop : Epoch 7 done 2019-11-12 14:34:22.202: INFO @main_loop : Training epoch 8 2019-11-12 14:41:09.490: INFO @log_variables: train precision: 0.913972 2019-11-12 14:41:09.490: INFO @log_variables: train recall: 0.914765 2019-11-12 14:41:09.490: INFO @log_variables: train f1: 0.914361 2019-11-12 14:41:09.490: INFO @log_variables: train accuracy mean: 0.917121 2019-11-12 14:41:09.491: INFO @log_variables: train loss mean: 0.207399 2019-11-12 14:41:09.491: INFO @log_variables: valid precision: 0.912453 2019-11-12 14:41:09.491: INFO @log_variables: valid recall: 0.914223 2019-11-12 14:41:09.491: INFO @log_variables: valid f1: 0.913302 2019-11-12 14:41:09.491: INFO @log_variables: valid accuracy mean: 0.915883 2019-11-12 14:41:09.491: INFO @log_variables: valid loss mean: 0.213148 2019-11-12 14:41:09.491: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:41:09.599: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 14:41:10.432: INFO @log_profile : T train: 24.159081 2019-11-12 14:41:10.432: INFO @log_profile : T valid: 2.454642 2019-11-12 14:41:10.432: INFO @log_profile : T read data: 379.341336 2019-11-12 14:41:10.432: INFO @log_profile : T hooks: 2.080137 2019-11-12 14:41:10.432: INFO @main_loop : Epoch 8 done 2019-11-12 14:41:10.432: INFO @main_loop : Training epoch 9 2019-11-12 14:48:14.556: INFO @log_variables: train precision: 0.916377 2019-11-12 14:48:14.556: INFO @log_variables: train recall: 0.917063 2019-11-12 14:48:14.556: INFO @log_variables: train f1: 0.916715 2019-11-12 14:48:14.556: INFO @log_variables: train accuracy mean: 0.919410 2019-11-12 14:48:14.556: INFO @log_variables: train loss mean: 0.201139 2019-11-12 14:48:14.556: INFO @log_variables: valid precision: 0.912821 2019-11-12 14:48:14.557: INFO @log_variables: valid recall: 0.907481 2019-11-12 14:48:14.557: INFO @log_variables: valid f1: 0.909889 2019-11-12 14:48:14.557: INFO @log_variables: valid accuracy mean: 0.913303 2019-11-12 14:48:14.557: INFO @log_variables: valid loss mean: 0.220677 2019-11-12 14:48:14.557: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:48:15.433: INFO @log_profile : T train: 24.815181 2019-11-12 14:48:15.433: INFO @log_profile : T valid: 2.546946 2019-11-12 14:48:15.433: INFO @log_profile : T read data: 395.396394 2019-11-12 14:48:15.433: INFO @log_profile : T hooks: 2.042143 2019-11-12 14:48:15.433: INFO @main_loop : Epoch 9 done 2019-11-12 14:48:15.433: INFO @main_loop : Training epoch 10 2019-11-12 14:55:19.596: INFO @log_variables: train precision: 0.919207 2019-11-12 14:55:19.596: INFO @log_variables: train recall: 0.920076 2019-11-12 14:55:19.597: INFO @log_variables: train f1: 0.919634 2019-11-12 14:55:19.597: INFO @log_variables: train accuracy mean: 0.922217 2019-11-12 14:55:19.597: INFO @log_variables: train loss mean: 0.195975 2019-11-12 14:55:19.597: INFO @log_variables: valid precision: 0.911237 2019-11-12 14:55:19.597: INFO @log_variables: valid recall: 0.911903 2019-11-12 14:55:19.597: INFO @log_variables: valid f1: 0.911565 2019-11-12 14:55:19.597: INFO @log_variables: valid accuracy mean: 0.914315 2019-11-12 14:55:19.597: INFO @log_variables: valid loss mean: 0.210638 2019-11-12 14:55:19.597: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 14:55:20.630: INFO @log_profile : T train: 24.229442 2019-11-12 14:55:20.630: INFO @log_profile : T valid: 2.480389 2019-11-12 14:55:20.630: INFO @log_profile : T read data: 396.151190 2019-11-12 14:55:20.630: INFO @log_profile : T hooks: 2.138543 2019-11-12 14:55:20.631: INFO @main_loop : Epoch 10 done 2019-11-12 14:55:20.631: INFO @main_loop : Training epoch 11 2019-11-12 15:02:24.819: INFO @log_variables: train precision: 0.922614 2019-11-12 15:02:24.820: INFO @log_variables: train recall: 0.923389 2019-11-12 15:02:24.820: INFO @log_variables: train f1: 0.922995 2019-11-12 15:02:24.820: INFO @log_variables: train accuracy mean: 0.925480 2019-11-12 15:02:24.820: INFO @log_variables: train loss mean: 0.189591 2019-11-12 15:02:24.820: INFO @log_variables: valid precision: 0.907041 2019-11-12 15:02:24.820: INFO @log_variables: valid recall: 0.913129 2019-11-12 15:02:24.820: INFO @log_variables: valid f1: 0.909555 2019-11-12 15:02:24.820: INFO @log_variables: valid accuracy mean: 0.911735 2019-11-12 15:02:24.820: INFO @log_variables: valid loss mean: 0.218783 2019-11-12 15:02:24.820: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:02:25.708: INFO @log_profile : T train: 25.171967 2019-11-12 15:02:25.708: INFO @log_profile : T valid: 2.719553 2019-11-12 15:02:25.708: INFO @log_profile : T read data: 394.954650 2019-11-12 15:02:25.708: INFO @log_profile : T hooks: 2.035410 2019-11-12 15:02:25.708: INFO @main_loop : Epoch 11 done 2019-11-12 15:02:25.708: INFO @main_loop : Training epoch 12 2019-11-12 15:09:25.394: INFO @log_variables: train precision: 0.924982 2019-11-12 15:09:25.398: INFO @log_variables: train recall: 0.926015 2019-11-12 15:09:25.398: INFO @log_variables: train f1: 0.925488 2019-11-12 15:09:25.398: INFO @log_variables: train accuracy mean: 0.927870 2019-11-12 15:09:25.398: INFO @log_variables: train loss mean: 0.183426 2019-11-12 15:09:25.398: INFO @log_variables: valid precision: 0.915606 2019-11-12 15:09:25.398: INFO @log_variables: valid recall: 0.917011 2019-11-12 15:09:25.398: INFO @log_variables: valid f1: 0.916286 2019-11-12 15:09:25.398: INFO @log_variables: valid accuracy mean: 0.918816 2019-11-12 15:09:25.398: INFO @log_variables: valid loss mean: 0.208924 2019-11-12 15:09:25.398: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:09:25.632: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 15:09:27.205: INFO @log_profile : T train: 25.046799 2019-11-12 15:09:27.205: INFO @log_profile : T valid: 2.660351 2019-11-12 15:09:27.205: INFO @log_profile : T read data: 390.343840 2019-11-12 15:09:27.205: INFO @log_profile : T hooks: 3.247722 2019-11-12 15:09:27.206: INFO @main_loop : Epoch 12 done 2019-11-12 15:09:27.206: INFO @main_loop : Training epoch 13 2019-11-12 15:16:26.350: INFO @log_variables: train precision: 0.927423 2019-11-12 15:16:26.350: INFO @log_variables: train recall: 0.928360 2019-11-12 15:16:26.350: INFO @log_variables: train f1: 0.927882 2019-11-12 15:16:26.350: INFO @log_variables: train accuracy mean: 0.930196 2019-11-12 15:16:26.351: INFO @log_variables: train loss mean: 0.178147 2019-11-12 15:16:26.351: INFO @log_variables: valid precision: 0.916209 2019-11-12 15:16:26.351: INFO @log_variables: valid recall: 0.913949 2019-11-12 15:16:26.351: INFO @log_variables: valid f1: 0.915028 2019-11-12 15:16:26.351: INFO @log_variables: valid accuracy mean: 0.917956 2019-11-12 15:16:26.351: INFO @log_variables: valid loss mean: 0.205207 2019-11-12 15:16:26.351: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:16:27.208: INFO @log_profile : T train: 25.549449 2019-11-12 15:16:27.208: INFO @log_profile : T valid: 2.528967 2019-11-12 15:16:27.208: INFO @log_profile : T read data: 389.705239 2019-11-12 15:16:27.208: INFO @log_profile : T hooks: 2.008544 2019-11-12 15:16:27.208: INFO @main_loop : Epoch 13 done 2019-11-12 15:16:27.208: INFO @main_loop : Training epoch 14 2019-11-12 15:23:06.188: INFO @log_variables: train precision: 0.929835 2019-11-12 15:23:06.188: INFO @log_variables: train recall: 0.930881 2019-11-12 15:23:06.188: INFO @log_variables: train f1: 0.930347 2019-11-12 15:23:06.188: INFO @log_variables: train accuracy mean: 0.932574 2019-11-12 15:23:06.188: INFO @log_variables: train loss mean: 0.172775 2019-11-12 15:23:06.188: INFO @log_variables: valid precision: 0.911765 2019-11-12 15:23:06.188: INFO @log_variables: valid recall: 0.916732 2019-11-12 15:23:06.189: INFO @log_variables: valid f1: 0.913922 2019-11-12 15:23:06.189: INFO @log_variables: valid accuracy mean: 0.916136 2019-11-12 15:23:06.189: INFO @log_variables: valid loss mean: 0.209902 2019-11-12 15:23:06.189: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:23:07.012: INFO @log_profile : T train: 24.246861 2019-11-12 15:23:07.012: INFO @log_profile : T valid: 2.550580 2019-11-12 15:23:07.012: INFO @log_profile : T read data: 370.746273 2019-11-12 15:23:07.012: INFO @log_profile : T hooks: 2.065633 2019-11-12 15:23:07.012: INFO @main_loop : Epoch 14 done 2019-11-12 15:23:07.012: INFO @main_loop : Training epoch 15 2019-11-12 15:29:32.538: INFO @log_variables: train precision: 0.933293 2019-11-12 15:29:32.538: INFO @log_variables: train recall: 0.934576 2019-11-12 15:29:32.538: INFO @log_variables: train f1: 0.933918 2019-11-12 15:29:32.538: INFO @log_variables: train accuracy mean: 0.936013 2019-11-12 15:29:32.538: INFO @log_variables: train loss mean: 0.163899 2019-11-12 15:29:32.538: INFO @log_variables: valid precision: 0.916804 2019-11-12 15:29:32.538: INFO @log_variables: valid recall: 0.916333 2019-11-12 15:29:32.538: INFO @log_variables: valid f1: 0.916566 2019-11-12 15:29:32.538: INFO @log_variables: valid accuracy mean: 0.919272 2019-11-12 15:29:32.538: INFO @log_variables: valid loss mean: 0.208392 2019-11-12 15:29:32.538: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:29:32.668: INFO @save : Model saved to: ./log/HeadPoseBaseline_determined-jackson/model_best.ckpt 2019-11-12 15:29:33.539: INFO @log_profile : T train: 24.899639 2019-11-12 15:29:33.540: INFO @log_profile : T valid: 2.619478 2019-11-12 15:29:33.540: INFO @log_profile : T read data: 356.614564 2019-11-12 15:29:33.540: INFO @log_profile : T hooks: 2.191971 2019-11-12 15:29:33.540: INFO @main_loop : Epoch 15 done 2019-11-12 15:29:33.540: INFO @main_loop : Training epoch 16 2019-11-12 15:36:10.057: INFO @log_variables: train precision: 0.937289 2019-11-12 15:36:10.058: INFO @log_variables: train recall: 0.938505 2019-11-12 15:36:10.058: INFO @log_variables: train f1: 0.937882 2019-11-12 15:36:10.058: INFO @log_variables: train accuracy mean: 0.939858 2019-11-12 15:36:10.058: INFO @log_variables: train loss mean: 0.156739 2019-11-12 15:36:10.058: INFO @log_variables: valid precision: 0.916124 2019-11-12 15:36:10.058: INFO @log_variables: valid recall: 0.912669 2019-11-12 15:36:10.058: INFO @log_variables: valid f1: 0.914282 2019-11-12 15:36:10.058: INFO @log_variables: valid accuracy mean: 0.917350 2019-11-12 15:36:10.058: INFO @log_variables: valid loss mean: 0.219896 2019-11-12 15:36:10.058: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:36:10.922: INFO @log_profile : T train: 24.220464 2019-11-12 15:36:10.922: INFO @log_profile : T valid: 2.473011 2019-11-12 15:36:10.922: INFO @log_profile : T read data: 368.471536 2019-11-12 15:36:10.922: INFO @log_profile : T hooks: 2.013153 2019-11-12 15:36:10.923: INFO @main_loop : Epoch 16 done 2019-11-12 15:36:10.923: INFO @main_loop : Training epoch 17 2019-11-12 15:42:52.689: INFO @log_variables: train precision: 0.940011 2019-11-12 15:42:52.689: INFO @log_variables: train recall: 0.941117 2019-11-12 15:42:52.689: INFO @log_variables: train f1: 0.940552 2019-11-12 15:42:52.689: INFO @log_variables: train accuracy mean: 0.942450 2019-11-12 15:42:52.689: INFO @log_variables: train loss mean: 0.149194 2019-11-12 15:42:52.689: INFO @log_variables: valid precision: 0.910269 2019-11-12 15:42:52.689: INFO @log_variables: valid recall: 0.914786 2019-11-12 15:42:52.689: INFO @log_variables: valid f1: 0.912262 2019-11-12 15:42:52.689: INFO @log_variables: valid accuracy mean: 0.914568 2019-11-12 15:42:52.690: INFO @log_variables: valid loss mean: 0.214969 2019-11-12 15:42:52.690: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:42:53.694: INFO @log_profile : T train: 24.820180 2019-11-12 15:42:53.694: INFO @log_profile : T valid: 2.523241 2019-11-12 15:42:53.694: INFO @log_profile : T read data: 373.073193 2019-11-12 15:42:53.694: INFO @log_profile : T hooks: 2.161277 2019-11-12 15:42:53.694: INFO @main_loop : Epoch 17 done 2019-11-12 15:42:53.694: INFO @main_loop : Training epoch 18 2019-11-12 15:49:38.811: INFO @log_variables: train precision: 0.943715 2019-11-12 15:49:38.811: INFO @log_variables: train recall: 0.945118 2019-11-12 15:49:38.811: INFO @log_variables: train f1: 0.944398 2019-11-12 15:49:38.811: INFO @log_variables: train accuracy mean: 0.946155 2019-11-12 15:49:38.811: INFO @log_variables: train loss mean: 0.140751 2019-11-12 15:49:38.811: INFO @log_variables: valid precision: 0.910873 2019-11-12 15:49:38.811: INFO @log_variables: valid recall: 0.915891 2019-11-12 15:49:38.811: INFO @log_variables: valid f1: 0.913047 2019-11-12 15:49:38.811: INFO @log_variables: valid accuracy mean: 0.915276 2019-11-12 15:49:38.811: INFO @log_variables: valid loss mean: 0.219937 2019-11-12 15:49:38.811: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:49:39.674: INFO @log_profile : T train: 24.307391 2019-11-12 15:49:39.675: INFO @log_profile : T valid: 2.572908 2019-11-12 15:49:39.675: INFO @log_profile : T read data: 376.851178 2019-11-12 15:49:39.675: INFO @log_profile : T hooks: 2.053066 2019-11-12 15:49:39.675: INFO @main_loop : Epoch 18 done 2019-11-12 15:49:39.675: INFO @main_loop : Training epoch 19 2019-11-12 15:56:26.477: INFO @log_variables: train precision: 0.947422 2019-11-12 15:56:26.478: INFO @log_variables: train recall: 0.948922 2019-11-12 15:56:26.478: INFO @log_variables: train f1: 0.948150 2019-11-12 15:56:26.478: INFO @log_variables: train accuracy mean: 0.949784 2019-11-12 15:56:26.478: INFO @log_variables: train loss mean: 0.130429 2019-11-12 15:56:26.478: INFO @log_variables: valid precision: 0.904554 2019-11-12 15:56:26.478: INFO @log_variables: valid recall: 0.912112 2019-11-12 15:56:26.478: INFO @log_variables: valid f1: 0.907431 2019-11-12 15:56:26.478: INFO @log_variables: valid accuracy mean: 0.909459 2019-11-12 15:56:26.478: INFO @log_variables: valid loss mean: 0.243255 2019-11-12 15:56:26.478: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 15:56:27.425: INFO @log_profile : T train: 25.023861 2019-11-12 15:56:27.425: INFO @log_profile : T valid: 2.500935 2019-11-12 15:56:27.425: INFO @log_profile : T read data: 377.878026 2019-11-12 15:56:27.425: INFO @log_profile : T hooks: 2.148479 2019-11-12 15:56:27.425: INFO @main_loop : Epoch 19 done 2019-11-12 15:56:27.426: INFO @main_loop : Training epoch 20 2019-11-12 16:03:26.738: INFO @log_variables: train precision: 0.952029 2019-11-12 16:03:26.740: INFO @log_variables: train recall: 0.953438 2019-11-12 16:03:26.740: INFO @log_variables: train f1: 0.952715 2019-11-12 16:03:26.740: INFO @log_variables: train accuracy mean: 0.954210 2019-11-12 16:03:26.740: INFO @log_variables: train loss mean: 0.119512 2019-11-12 16:03:26.740: INFO @log_variables: valid precision: 0.910244 2019-11-12 16:03:26.741: INFO @log_variables: valid recall: 0.913708 2019-11-12 16:03:26.741: INFO @log_variables: valid f1: 0.911827 2019-11-12 16:03:26.741: INFO @log_variables: valid accuracy mean: 0.914264 2019-11-12 16:03:26.741: INFO @log_variables: valid loss mean: 0.242496 2019-11-12 16:03:26.741: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:03:27.585: INFO @log_profile : T train: 24.972774 2019-11-12 16:03:27.585: INFO @log_profile : T valid: 2.671290 2019-11-12 16:03:27.585: INFO @log_profile : T read data: 390.303822 2019-11-12 16:03:27.585: INFO @log_profile : T hooks: 2.012697 2019-11-12 16:03:27.585: INFO @main_loop : Epoch 20 done 2019-11-12 16:03:27.585: INFO @main_loop : Training epoch 21 2019-11-12 16:10:31.099: INFO @log_variables: train precision: 0.956356 2019-11-12 16:10:31.099: INFO @log_variables: train recall: 0.957721 2019-11-12 16:10:31.099: INFO @log_variables: train f1: 0.957021 2019-11-12 16:10:31.099: INFO @log_variables: train accuracy mean: 0.958383 2019-11-12 16:10:31.099: INFO @log_variables: train loss mean: 0.109249 2019-11-12 16:10:31.099: INFO @log_variables: valid precision: 0.904687 2019-11-12 16:10:31.099: INFO @log_variables: valid recall: 0.912968 2019-11-12 16:10:31.100: INFO @log_variables: valid f1: 0.907691 2019-11-12 16:10:31.100: INFO @log_variables: valid accuracy mean: 0.909611 2019-11-12 16:10:31.100: INFO @log_variables: valid loss mean: 0.270578 2019-11-12 16:10:31.100: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:10:31.991: INFO @log_profile : T train: 24.865068 2019-11-12 16:10:31.991: INFO @log_profile : T valid: 2.610569 2019-11-12 16:10:31.991: INFO @log_profile : T read data: 394.684835 2019-11-12 16:10:31.992: INFO @log_profile : T hooks: 2.043366 2019-11-12 16:10:31.992: INFO @main_loop : Epoch 21 done 2019-11-12 16:10:31.992: INFO @main_loop : Training epoch 22 2019-11-12 16:17:42.308: INFO @log_variables: train precision: 0.960963 2019-11-12 16:17:42.308: INFO @log_variables: train recall: 0.962425 2019-11-12 16:17:42.308: INFO @log_variables: train f1: 0.961674 2019-11-12 16:17:42.309: INFO @log_variables: train accuracy mean: 0.962885 2019-11-12 16:17:42.309: INFO @log_variables: train loss mean: 0.097168 2019-11-12 16:17:42.309: INFO @log_variables: valid precision: 0.909196 2019-11-12 16:17:42.309: INFO @log_variables: valid recall: 0.910302 2019-11-12 16:17:42.309: INFO @log_variables: valid f1: 0.909735 2019-11-12 16:17:42.309: INFO @log_variables: valid accuracy mean: 0.912494 2019-11-12 16:17:42.309: INFO @log_variables: valid loss mean: 0.268486 2019-11-12 16:17:42.309: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:17:43.298: INFO @log_profile : T train: 25.039070 2019-11-12 16:17:43.298: INFO @log_profile : T valid: 2.518363 2019-11-12 16:17:43.298: INFO @log_profile : T read data: 401.378926 2019-11-12 16:17:43.298: INFO @log_profile : T hooks: 2.166604 2019-11-12 16:17:43.298: INFO @main_loop : Epoch 22 done 2019-11-12 16:17:43.298: INFO @main_loop : Training epoch 23 2019-11-12 16:24:49.605: INFO @log_variables: train precision: 0.967330 2019-11-12 16:24:49.605: INFO @log_variables: train recall: 0.968445 2019-11-12 16:24:49.605: INFO @log_variables: train f1: 0.967877 2019-11-12 16:24:49.605: INFO @log_variables: train accuracy mean: 0.968905 2019-11-12 16:24:49.605: INFO @log_variables: train loss mean: 0.084195 2019-11-12 16:24:49.605: INFO @log_variables: valid precision: 0.911386 2019-11-12 16:24:49.605: INFO @log_variables: valid recall: 0.906729 2019-11-12 16:24:49.605: INFO @log_variables: valid f1: 0.908854 2019-11-12 16:24:49.606: INFO @log_variables: valid accuracy mean: 0.912241 2019-11-12 16:24:49.606: INFO @log_variables: valid loss mean: 0.294367 2019-11-12 16:24:49.606: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:24:50.403: INFO @log_profile : T train: 24.873810 2019-11-12 16:24:50.403: INFO @log_profile : T valid: 2.681187 2019-11-12 16:24:50.403: INFO @log_profile : T read data: 397.307674 2019-11-12 16:24:50.403: INFO @log_profile : T hooks: 2.039494 2019-11-12 16:24:50.403: INFO @main_loop : Epoch 23 done 2019-11-12 16:24:50.403: INFO @main_loop : Training epoch 24 2019-11-12 16:31:51.236: INFO @log_variables: train precision: 0.968701 2019-11-12 16:31:51.236: INFO @log_variables: train recall: 0.969906 2019-11-12 16:31:51.236: INFO @log_variables: train f1: 0.969291 2019-11-12 16:31:51.236: INFO @log_variables: train accuracy mean: 0.970270 2019-11-12 16:31:51.236: INFO @log_variables: train loss mean: 0.077580 2019-11-12 16:31:51.236: INFO @log_variables: valid precision: 0.903186 2019-11-12 16:31:51.236: INFO @log_variables: valid recall: 0.909524 2019-11-12 16:31:51.236: INFO @log_variables: valid f1: 0.905762 2019-11-12 16:31:51.236: INFO @log_variables: valid accuracy mean: 0.907992 2019-11-12 16:31:51.236: INFO @log_variables: valid loss mean: 0.296520 2019-11-12 16:31:51.236: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:31:52.264: INFO @log_profile : T train: 25.029389 2019-11-12 16:31:52.265: INFO @log_profile : T valid: 2.658523 2019-11-12 16:31:52.265: INFO @log_profile : T read data: 391.818340 2019-11-12 16:31:52.265: INFO @log_profile : T hooks: 2.156396 2019-11-12 16:31:52.265: INFO @main_loop : Epoch 24 done 2019-11-12 16:31:52.265: INFO @main_loop : Training epoch 25 2019-11-12 16:38:42.280: INFO @log_variables: train precision: 0.973682 2019-11-12 16:38:42.280: INFO @log_variables: train recall: 0.974847 2019-11-12 16:38:42.280: INFO @log_variables: train f1: 0.974253 2019-11-12 16:38:42.280: INFO @log_variables: train accuracy mean: 0.975076 2019-11-12 16:38:42.280: INFO @log_variables: train loss mean: 0.065607 2019-11-12 16:38:42.280: INFO @log_variables: valid precision: 0.900032 2019-11-12 16:38:42.280: INFO @log_variables: valid recall: 0.907719 2019-11-12 16:38:42.280: INFO @log_variables: valid f1: 0.902913 2019-11-12 16:38:42.280: INFO @log_variables: valid accuracy mean: 0.905008 2019-11-12 16:38:42.280: INFO @log_variables: valid loss mean: 0.349163 2019-11-12 16:38:42.281: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:38:43.150: INFO @log_profile : T train: 24.244274 2019-11-12 16:38:43.150: INFO @log_profile : T valid: 2.551629 2019-11-12 16:38:43.150: INFO @log_profile : T read data: 381.822113 2019-11-12 16:38:43.150: INFO @log_profile : T hooks: 2.076154 2019-11-12 16:38:43.151: INFO @main_loop : Epoch 25 done 2019-11-12 16:38:43.151: INFO @main_loop : Training epoch 26 2019-11-12 16:45:40.689: INFO @log_variables: train precision: 0.976814 2019-11-12 16:45:40.690: INFO @log_variables: train recall: 0.978100 2019-11-12 16:45:40.690: INFO @log_variables: train f1: 0.977443 2019-11-12 16:45:40.690: INFO @log_variables: train accuracy mean: 0.978161 2019-11-12 16:45:40.690: INFO @log_variables: train loss mean: 0.058692 2019-11-12 16:45:40.690: INFO @log_variables: valid precision: 0.910326 2019-11-12 16:45:40.690: INFO @log_variables: valid recall: 0.908097 2019-11-12 16:45:40.690: INFO @log_variables: valid f1: 0.909161 2019-11-12 16:45:40.690: INFO @log_variables: valid accuracy mean: 0.912291 2019-11-12 16:45:40.690: INFO @log_variables: valid loss mean: 0.375705 2019-11-12 16:45:40.690: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:45:41.474: INFO @log_profile : T train: 24.987786 2019-11-12 16:45:41.474: INFO @log_profile : T valid: 2.508142 2019-11-12 16:45:41.474: INFO @log_profile : T read data: 388.783021 2019-11-12 16:45:41.474: INFO @log_profile : T hooks: 1.851968 2019-11-12 16:45:41.474: INFO @main_loop : Epoch 26 done 2019-11-12 16:45:41.474: INFO @main_loop : Training epoch 27 2019-11-12 16:52:27.760: INFO @log_variables: train precision: 0.979229 2019-11-12 16:52:27.761: INFO @log_variables: train recall: 0.980120 2019-11-12 16:52:27.761: INFO @log_variables: train f1: 0.979668 2019-11-12 16:52:27.761: INFO @log_variables: train accuracy mean: 0.980323 2019-11-12 16:52:27.761: INFO @log_variables: train loss mean: 0.052823 2019-11-12 16:52:27.761: INFO @log_variables: valid precision: 0.904586 2019-11-12 16:52:27.761: INFO @log_variables: valid recall: 0.906671 2019-11-12 16:52:27.761: INFO @log_variables: valid f1: 0.905576 2019-11-12 16:52:27.761: INFO @log_variables: valid accuracy mean: 0.908346 2019-11-12 16:52:27.761: INFO @log_variables: valid loss mean: 0.373932 2019-11-12 16:52:27.761: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:52:28.704: INFO @log_profile : T train: 25.048913 2019-11-12 16:52:28.705: INFO @log_profile : T valid: 2.511794 2019-11-12 16:52:28.705: INFO @log_profile : T read data: 377.374635 2019-11-12 16:52:28.705: INFO @log_profile : T hooks: 2.097813 2019-11-12 16:52:28.705: INFO @main_loop : Epoch 27 done 2019-11-12 16:52:28.705: INFO @main_loop : Training epoch 28 2019-11-12 16:59:14.242: INFO @log_variables: train precision: 0.981422 2019-11-12 16:59:14.242: INFO @log_variables: train recall: 0.982233 2019-11-12 16:59:14.242: INFO @log_variables: train f1: 0.981822 2019-11-12 16:59:14.242: INFO @log_variables: train accuracy mean: 0.982410 2019-11-12 16:59:14.242: INFO @log_variables: train loss mean: 0.047189 2019-11-12 16:59:14.242: INFO @log_variables: valid precision: 0.906962 2019-11-12 16:59:14.242: INFO @log_variables: valid recall: 0.896362 2019-11-12 16:59:14.242: INFO @log_variables: valid f1: 0.900732 2019-11-12 16:59:14.242: INFO @log_variables: valid accuracy mean: 0.905058 2019-11-12 16:59:14.242: INFO @log_variables: valid loss mean: 0.399249 2019-11-12 16:59:14.242: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 16:59:15.077: INFO @log_profile : T train: 24.205527 2019-11-12 16:59:15.077: INFO @log_profile : T valid: 2.663762 2019-11-12 16:59:15.077: INFO @log_profile : T read data: 377.339743 2019-11-12 16:59:15.077: INFO @log_profile : T hooks: 1.966987 2019-11-12 16:59:15.078: INFO @main_loop : Epoch 28 done 2019-11-12 16:59:15.078: INFO @main_loop : Training epoch 29 2019-11-12 17:06:00.945: INFO @log_variables: train precision: 0.983490 2019-11-12 17:06:00.945: INFO @log_variables: train recall: 0.983907 2019-11-12 17:06:00.945: INFO @log_variables: train f1: 0.983697 2019-11-12 17:06:00.946: INFO @log_variables: train accuracy mean: 0.984231 2019-11-12 17:06:00.946: INFO @log_variables: train loss mean: 0.041628 2019-11-12 17:06:00.946: INFO @log_variables: valid precision: 0.907220 2019-11-12 17:06:00.946: INFO @log_variables: valid recall: 0.905513 2019-11-12 17:06:00.946: INFO @log_variables: valid f1: 0.906336 2019-11-12 17:06:00.946: INFO @log_variables: valid accuracy mean: 0.909509 2019-11-12 17:06:00.946: INFO @log_variables: valid loss mean: 0.474018 2019-11-12 17:06:00.946: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:06:01.836: INFO @log_profile : T train: 24.908111 2019-11-12 17:06:01.836: INFO @log_profile : T valid: 2.522348 2019-11-12 17:06:01.836: INFO @log_profile : T read data: 377.051238 2019-11-12 17:06:01.837: INFO @log_profile : T hooks: 2.077611 2019-11-12 17:06:01.837: INFO @main_loop : Epoch 29 done 2019-11-12 17:06:01.837: INFO @main_loop : Training epoch 30 2019-11-12 17:12:51.096: INFO @log_variables: train precision: 0.984725 2019-11-12 17:12:51.097: INFO @log_variables: train recall: 0.985211 2019-11-12 17:12:51.097: INFO @log_variables: train f1: 0.984966 2019-11-12 17:12:51.097: INFO @log_variables: train accuracy mean: 0.985458 2019-11-12 17:12:51.097: INFO @log_variables: train loss mean: 0.038867 2019-11-12 17:12:51.097: INFO @log_variables: valid precision: 0.907232 2019-11-12 17:12:51.097: INFO @log_variables: valid recall: 0.907444 2019-11-12 17:12:51.097: INFO @log_variables: valid f1: 0.907337 2019-11-12 17:12:51.097: INFO @log_variables: valid accuracy mean: 0.910268 2019-11-12 17:12:51.097: INFO @log_variables: valid loss mean: 0.438367 2019-11-12 17:12:51.097: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:12:52.038: INFO @log_profile : T train: 24.945001 2019-11-12 17:12:52.039: INFO @log_profile : T valid: 2.715218 2019-11-12 17:12:52.039: INFO @log_profile : T read data: 380.205426 2019-11-12 17:12:52.039: INFO @log_profile : T hooks: 2.136755 2019-11-12 17:12:52.039: INFO @main_loop : Epoch 30 done 2019-11-12 17:12:52.039: INFO @main_loop : Training epoch 31 2019-11-12 17:19:36.691: INFO @log_variables: train precision: 0.985736 2019-11-12 17:19:36.691: INFO @log_variables: train recall: 0.986351 2019-11-12 17:19:36.691: INFO @log_variables: train f1: 0.986040 2019-11-12 17:19:36.692: INFO @log_variables: train accuracy mean: 0.986495 2019-11-12 17:19:36.692: INFO @log_variables: train loss mean: 0.035630 2019-11-12 17:19:36.692: INFO @log_variables: valid precision: 0.904748 2019-11-12 17:19:36.692: INFO @log_variables: valid recall: 0.901031 2019-11-12 17:19:36.692: INFO @log_variables: valid f1: 0.902753 2019-11-12 17:19:36.692: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-12 17:19:36.692: INFO @log_variables: valid loss mean: 0.451087 2019-11-12 17:19:36.692: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:19:37.490: INFO @log_profile : T train: 25.298581 2019-11-12 17:19:37.490: INFO @log_profile : T valid: 2.683911 2019-11-12 17:19:37.490: INFO @log_profile : T read data: 375.364960 2019-11-12 17:19:37.490: INFO @log_profile : T hooks: 1.903937 2019-11-12 17:19:37.490: INFO @main_loop : Epoch 31 done 2019-11-12 17:19:37.490: INFO @main_loop : Training epoch 32 2019-11-12 17:26:24.107: INFO @log_variables: train precision: 0.986642 2019-11-12 17:26:24.107: INFO @log_variables: train recall: 0.987002 2019-11-12 17:26:24.107: INFO @log_variables: train f1: 0.986821 2019-11-12 17:26:24.107: INFO @log_variables: train accuracy mean: 0.987253 2019-11-12 17:26:24.107: INFO @log_variables: train loss mean: 0.033477 2019-11-12 17:26:24.107: INFO @log_variables: valid precision: 0.908642 2019-11-12 17:26:24.107: INFO @log_variables: valid recall: 0.900327 2019-11-12 17:26:24.107: INFO @log_variables: valid f1: 0.903886 2019-11-12 17:26:24.107: INFO @log_variables: valid accuracy mean: 0.907840 2019-11-12 17:26:24.108: INFO @log_variables: valid loss mean: 0.474765 2019-11-12 17:26:24.108: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:26:24.914: INFO @log_profile : T train: 24.384259 2019-11-12 17:26:24.914: INFO @log_profile : T valid: 2.503854 2019-11-12 17:26:24.915: INFO @log_profile : T read data: 378.409140 2019-11-12 17:26:24.915: INFO @log_profile : T hooks: 1.930323 2019-11-12 17:26:24.915: INFO @main_loop : Epoch 32 done 2019-11-12 17:26:24.915: INFO @main_loop : Training epoch 33 2019-11-12 17:33:04.868: INFO @log_variables: train precision: 0.987942 2019-11-12 17:33:04.868: INFO @log_variables: train recall: 0.988454 2019-11-12 17:33:04.868: INFO @log_variables: train f1: 0.988196 2019-11-12 17:33:04.869: INFO @log_variables: train accuracy mean: 0.988581 2019-11-12 17:33:04.869: INFO @log_variables: train loss mean: 0.030104 2019-11-12 17:33:04.869: INFO @log_variables: valid precision: 0.902607 2019-11-12 17:33:04.869: INFO @log_variables: valid recall: 0.899566 2019-11-12 17:33:04.869: INFO @log_variables: valid f1: 0.900993 2019-11-12 17:33:04.869: INFO @log_variables: valid accuracy mean: 0.904502 2019-11-12 17:33:04.869: INFO @log_variables: valid loss mean: 0.504751 2019-11-12 17:33:04.869: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:33:05.969: INFO @log_profile : T train: 25.526387 2019-11-12 17:33:05.970: INFO @log_profile : T valid: 2.509474 2019-11-12 17:33:05.970: INFO @log_profile : T read data: 370.608394 2019-11-12 17:33:05.970: INFO @log_profile : T hooks: 2.216983 2019-11-12 17:33:05.970: INFO @main_loop : Epoch 33 done 2019-11-12 17:33:05.970: INFO @main_loop : Training epoch 34 2019-11-12 17:39:45.968: INFO @log_variables: train precision: 0.988748 2019-11-12 17:39:45.968: INFO @log_variables: train recall: 0.989269 2019-11-12 17:39:45.968: INFO @log_variables: train f1: 0.989006 2019-11-12 17:39:45.968: INFO @log_variables: train accuracy mean: 0.989365 2019-11-12 17:39:45.968: INFO @log_variables: train loss mean: 0.029043 2019-11-12 17:39:45.968: INFO @log_variables: valid precision: 0.892007 2019-11-12 17:39:45.968: INFO @log_variables: valid recall: 0.901992 2019-11-12 17:39:45.968: INFO @log_variables: valid f1: 0.894939 2019-11-12 17:39:45.968: INFO @log_variables: valid accuracy mean: 0.896763 2019-11-12 17:39:45.968: INFO @log_variables: valid loss mean: 0.541952 2019-11-12 17:39:45.969: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:39:46.823: INFO @log_profile : T train: 25.085761 2019-11-12 17:39:46.823: INFO @log_profile : T valid: 2.670028 2019-11-12 17:39:46.823: INFO @log_profile : T read data: 370.894208 2019-11-12 17:39:46.823: INFO @log_profile : T hooks: 2.004473 2019-11-12 17:39:46.823: INFO @main_loop : Epoch 34 done 2019-11-12 17:39:46.823: INFO @main_loop : Training epoch 35 2019-11-12 17:46:31.900: INFO @log_variables: train precision: 0.988911 2019-11-12 17:46:31.900: INFO @log_variables: train recall: 0.989392 2019-11-12 17:46:31.900: INFO @log_variables: train f1: 0.989150 2019-11-12 17:46:31.900: INFO @log_variables: train accuracy mean: 0.989504 2019-11-12 17:46:31.900: INFO @log_variables: train loss mean: 0.028102 2019-11-12 17:46:31.900: INFO @log_variables: valid precision: 0.902394 2019-11-12 17:46:31.901: INFO @log_variables: valid recall: 0.904495 2019-11-12 17:46:31.901: INFO @log_variables: valid f1: 0.903391 2019-11-12 17:46:31.901: INFO @log_variables: valid accuracy mean: 0.906222 2019-11-12 17:46:31.901: INFO @log_variables: valid loss mean: 0.469696 2019-11-12 17:46:31.901: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:46:32.756: INFO @log_profile : T train: 24.737586 2019-11-12 17:46:32.757: INFO @log_profile : T valid: 2.647280 2019-11-12 17:46:32.757: INFO @log_profile : T read data: 376.305861 2019-11-12 17:46:32.757: INFO @log_profile : T hooks: 2.047685 2019-11-12 17:46:32.757: INFO @main_loop : Epoch 35 done 2019-11-12 17:46:32.757: INFO @main_loop : Training epoch 36 2019-11-12 17:53:14.468: INFO @log_variables: train precision: 0.990158 2019-11-12 17:53:14.469: INFO @log_variables: train recall: 0.990493 2019-11-12 17:53:14.469: INFO @log_variables: train f1: 0.990325 2019-11-12 17:53:14.469: INFO @log_variables: train accuracy mean: 0.990642 2019-11-12 17:53:14.469: INFO @log_variables: train loss mean: 0.025837 2019-11-12 17:53:14.469: INFO @log_variables: valid precision: 0.905844 2019-11-12 17:53:14.469: INFO @log_variables: valid recall: 0.899818 2019-11-12 17:53:14.469: INFO @log_variables: valid f1: 0.902495 2019-11-12 17:53:14.469: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-12 17:53:14.469: INFO @log_variables: valid loss mean: 0.635193 2019-11-12 17:53:14.469: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:53:15.349: INFO @log_profile : T train: 24.966536 2019-11-12 17:53:15.350: INFO @log_profile : T valid: 2.614269 2019-11-12 17:53:15.350: INFO @log_profile : T read data: 372.818722 2019-11-12 17:53:15.350: INFO @log_profile : T hooks: 1.996184 2019-11-12 17:53:15.350: INFO @main_loop : Epoch 36 done 2019-11-12 17:53:15.350: INFO @main_loop : Training epoch 37 2019-11-12 17:59:55.634: INFO @log_variables: train precision: 0.990246 2019-11-12 17:59:55.635: INFO @log_variables: train recall: 0.990427 2019-11-12 17:59:55.635: INFO @log_variables: train f1: 0.990336 2019-11-12 17:59:55.635: INFO @log_variables: train accuracy mean: 0.990655 2019-11-12 17:59:55.635: INFO @log_variables: train loss mean: 0.025774 2019-11-12 17:59:55.635: INFO @log_variables: valid precision: 0.906630 2019-11-12 17:59:55.635: INFO @log_variables: valid recall: 0.909492 2019-11-12 17:59:55.635: INFO @log_variables: valid f1: 0.907960 2019-11-12 17:59:55.635: INFO @log_variables: valid accuracy mean: 0.910572 2019-11-12 17:59:55.635: INFO @log_variables: valid loss mean: 0.552579 2019-11-12 17:59:55.635: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 17:59:56.501: INFO @log_profile : T train: 24.918430 2019-11-12 17:59:56.501: INFO @log_profile : T valid: 2.607418 2019-11-12 17:59:56.501: INFO @log_profile : T read data: 371.414177 2019-11-12 17:59:56.501: INFO @log_profile : T hooks: 2.012052 2019-11-12 17:59:56.501: INFO @main_loop : Epoch 37 done 2019-11-12 17:59:56.501: INFO @main_loop : Training epoch 38 2019-11-12 18:06:42.916: INFO @log_variables: train precision: 0.990665 2019-11-12 18:06:42.916: INFO @log_variables: train recall: 0.990926 2019-11-12 18:06:42.916: INFO @log_variables: train f1: 0.990795 2019-11-12 18:06:42.917: INFO @log_variables: train accuracy mean: 0.991098 2019-11-12 18:06:42.917: INFO @log_variables: train loss mean: 0.023719 2019-11-12 18:06:42.917: INFO @log_variables: valid precision: 0.903861 2019-11-12 18:06:42.917: INFO @log_variables: valid recall: 0.905010 2019-11-12 18:06:42.917: INFO @log_variables: valid f1: 0.904420 2019-11-12 18:06:42.917: INFO @log_variables: valid accuracy mean: 0.907334 2019-11-12 18:06:42.917: INFO @log_variables: valid loss mean: 0.603519 2019-11-12 18:06:42.917: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:06:43.745: INFO @log_profile : T train: 24.269116 2019-11-12 18:06:43.746: INFO @log_profile : T valid: 2.691472 2019-11-12 18:06:43.746: INFO @log_profile : T read data: 378.094217 2019-11-12 18:06:43.746: INFO @log_profile : T hooks: 1.992629 2019-11-12 18:06:43.746: INFO @main_loop : Epoch 38 done 2019-11-12 18:06:43.746: INFO @main_loop : Training epoch 39 2019-11-12 18:13:29.891: INFO @log_variables: train precision: 0.990495 2019-11-12 18:13:29.891: INFO @log_variables: train recall: 0.990648 2019-11-12 18:13:29.891: INFO @log_variables: train f1: 0.990571 2019-11-12 18:13:29.892: INFO @log_variables: train accuracy mean: 0.990883 2019-11-12 18:13:29.892: INFO @log_variables: train loss mean: 0.025734 2019-11-12 18:13:29.892: INFO @log_variables: valid precision: 0.901189 2019-11-12 18:13:29.892: INFO @log_variables: valid recall: 0.906242 2019-11-12 18:13:29.892: INFO @log_variables: valid f1: 0.903360 2019-11-12 18:13:29.892: INFO @log_variables: valid accuracy mean: 0.905817 2019-11-12 18:13:29.892: INFO @log_variables: valid loss mean: 0.599243 2019-11-12 18:13:29.892: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:13:30.781: INFO @log_profile : T train: 24.972311 2019-11-12 18:13:30.781: INFO @log_profile : T valid: 2.626080 2019-11-12 18:13:30.781: INFO @log_profile : T read data: 377.156582 2019-11-12 18:13:30.781: INFO @log_profile : T hooks: 2.080162 2019-11-12 18:13:30.781: INFO @main_loop : Epoch 39 done 2019-11-12 18:13:30.782: INFO @main_loop : Training epoch 40 2019-11-12 18:20:16.733: INFO @log_variables: train precision: 0.991619 2019-11-12 18:20:16.734: INFO @log_variables: train recall: 0.991694 2019-11-12 18:20:16.734: INFO @log_variables: train f1: 0.991656 2019-11-12 18:20:16.734: INFO @log_variables: train accuracy mean: 0.991932 2019-11-12 18:20:16.734: INFO @log_variables: train loss mean: 0.022463 2019-11-12 18:20:16.734: INFO @log_variables: valid precision: 0.907226 2019-11-12 18:20:16.734: INFO @log_variables: valid recall: 0.904535 2019-11-12 18:20:16.734: INFO @log_variables: valid f1: 0.905807 2019-11-12 18:20:16.734: INFO @log_variables: valid accuracy mean: 0.909105 2019-11-12 18:20:16.734: INFO @log_variables: valid loss mean: 0.626234 2019-11-12 18:20:16.734: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:20:17.545: INFO @log_profile : T train: 25.078385 2019-11-12 18:20:17.545: INFO @log_profile : T valid: 2.460896 2019-11-12 18:20:17.546: INFO @log_profile : T read data: 377.093877 2019-11-12 18:20:17.546: INFO @log_profile : T hooks: 1.935058 2019-11-12 18:20:17.546: INFO @main_loop : Epoch 40 done 2019-11-12 18:20:17.546: INFO @main_loop : Training epoch 41 2019-11-12 18:27:09.594: INFO @log_variables: train precision: 0.991980 2019-11-12 18:27:09.595: INFO @log_variables: train recall: 0.992065 2019-11-12 18:27:09.595: INFO @log_variables: train f1: 0.992022 2019-11-12 18:27:09.595: INFO @log_variables: train accuracy mean: 0.992286 2019-11-12 18:27:09.595: INFO @log_variables: train loss mean: 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INFO @log_variables: train f1: 0.992114 2019-11-12 18:33:52.756: INFO @log_variables: train accuracy mean: 0.992375 2019-11-12 18:33:52.756: INFO @log_variables: train loss mean: 0.020672 2019-11-12 18:33:52.756: INFO @log_variables: valid precision: 0.906714 2019-11-12 18:33:52.756: INFO @log_variables: valid recall: 0.892977 2019-11-12 18:33:52.756: INFO @log_variables: valid f1: 0.898380 2019-11-12 18:33:52.756: INFO @log_variables: valid accuracy mean: 0.903136 2019-11-12 18:33:52.756: INFO @log_variables: valid loss mean: 0.609022 2019-11-12 18:33:52.756: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:33:53.634: INFO @log_profile : T train: 25.005857 2019-11-12 18:33:53.634: INFO @log_profile : T valid: 2.703271 2019-11-12 18:33:53.635: INFO @log_profile : T read data: 373.075352 2019-11-12 18:33:53.635: INFO @log_profile : T hooks: 2.016915 2019-11-12 18:33:53.635: INFO @main_loop : Epoch 42 done 2019-11-12 18:33:53.635: INFO @main_loop : Training epoch 43 2019-11-12 18:40:43.476: INFO @log_variables: train precision: 0.991358 2019-11-12 18:40:43.476: INFO @log_variables: train recall: 0.991591 2019-11-12 18:40:43.476: INFO @log_variables: train f1: 0.991474 2019-11-12 18:40:43.476: INFO @log_variables: train accuracy mean: 0.991755 2019-11-12 18:40:43.476: INFO @log_variables: train loss mean: 0.022171 2019-11-12 18:40:43.476: INFO @log_variables: valid precision: 0.905178 2019-11-12 18:40:43.476: INFO @log_variables: valid recall: 0.908742 2019-11-12 18:40:43.476: INFO @log_variables: valid f1: 0.906798 2019-11-12 18:40:43.476: INFO @log_variables: valid accuracy mean: 0.909358 2019-11-12 18:40:43.477: INFO @log_variables: valid loss mean: 0.582891 2019-11-12 18:40:43.477: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:40:44.343: INFO @log_profile : T train: 25.182792 2019-11-12 18:40:44.343: INFO @log_profile : T valid: 2.692205 2019-11-12 18:40:44.343: INFO @log_profile : T read data: 380.643141 2019-11-12 18:40:44.343: INFO @log_profile : T hooks: 1.995960 2019-11-12 18:40:44.343: INFO @main_loop : Epoch 43 done 2019-11-12 18:40:44.343: INFO @main_loop : Training epoch 44 2019-11-12 18:47:30.419: INFO @log_variables: train precision: 0.991487 2019-11-12 18:47:30.420: INFO @log_variables: train recall: 0.991618 2019-11-12 18:47:30.420: INFO @log_variables: train f1: 0.991552 2019-11-12 18:47:30.420: INFO @log_variables: train accuracy mean: 0.991831 2019-11-12 18:47:30.420: INFO @log_variables: train loss mean: 0.021786 2019-11-12 18:47:30.420: INFO @log_variables: valid precision: 0.905470 2019-11-12 18:47:30.420: INFO @log_variables: valid recall: 0.904578 2019-11-12 18:47:30.420: INFO @log_variables: valid f1: 0.905015 2019-11-12 18:47:30.420: INFO @log_variables: valid accuracy mean: 0.908144 2019-11-12 18:47:30.420: INFO @log_variables: valid loss mean: 0.598010 2019-11-12 18:47:30.421: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:47:31.267: INFO @log_profile : T train: 24.923215 2019-11-12 18:47:31.267: INFO @log_profile : T valid: 2.640158 2019-11-12 18:47:31.267: INFO @log_profile : T read data: 377.134187 2019-11-12 18:47:31.267: INFO @log_profile : T hooks: 2.028979 2019-11-12 18:47:31.267: INFO @main_loop : Epoch 44 done 2019-11-12 18:47:31.267: INFO @main_loop : Training epoch 45 2019-11-12 18:54:16.505: INFO @log_variables: train precision: 0.992960 2019-11-12 18:54:16.506: INFO @log_variables: train recall: 0.992993 2019-11-12 18:54:16.506: INFO @log_variables: train f1: 0.992977 2019-11-12 18:54:16.506: INFO @log_variables: train accuracy mean: 0.993209 2019-11-12 18:54:16.506: INFO @log_variables: train loss mean: 0.018403 2019-11-12 18:54:16.506: INFO @log_variables: valid precision: 0.904356 2019-11-12 18:54:16.506: INFO @log_variables: valid recall: 0.907522 2019-11-12 18:54:16.506: INFO @log_variables: valid f1: 0.905813 2019-11-12 18:54:16.506: INFO @log_variables: valid accuracy mean: 0.908447 2019-11-12 18:54:16.506: INFO @log_variables: valid loss mean: 0.491467 2019-11-12 18:54:16.506: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 18:54:17.307: INFO @log_profile : T train: 24.194949 2019-11-12 18:54:17.307: INFO @log_profile : T valid: 2.636894 2019-11-12 18:54:17.307: INFO @log_profile : T read data: 377.067820 2019-11-12 18:54:17.307: INFO @log_profile : T hooks: 1.942168 2019-11-12 18:54:17.307: INFO @main_loop : Epoch 45 done 2019-11-12 18:54:17.307: INFO @main_loop : Training epoch 46 2019-11-12 19:01:05.265: INFO @log_variables: train precision: 0.992817 2019-11-12 19:01:05.266: INFO @log_variables: train recall: 0.992981 2019-11-12 19:01:05.266: INFO @log_variables: train f1: 0.992899 2019-11-12 19:01:05.266: INFO @log_variables: train accuracy mean: 0.993133 2019-11-12 19:01:05.266: INFO @log_variables: train loss mean: 0.019334 2019-11-12 19:01:05.266: INFO @log_variables: valid precision: 0.901632 2019-11-12 19:01:05.267: INFO @log_variables: valid recall: 0.908466 2019-11-12 19:01:05.267: INFO @log_variables: valid f1: 0.904334 2019-11-12 19:01:05.267: INFO @log_variables: valid accuracy mean: 0.906525 2019-11-12 19:01:05.267: INFO @log_variables: valid loss mean: 0.664748 2019-11-12 19:01:05.267: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:01:06.144: INFO @log_profile : T train: 24.945376 2019-11-12 19:01:06.144: INFO @log_profile : T valid: 2.685654 2019-11-12 19:01:06.144: INFO @log_profile : T read data: 378.962424 2019-11-12 19:01:06.144: INFO @log_profile : T hooks: 2.049800 2019-11-12 19:01:06.144: INFO @main_loop : Epoch 46 done 2019-11-12 19:01:06.145: INFO @main_loop : Training epoch 47 2019-11-12 19:07:53.893: INFO @log_variables: train precision: 0.993062 2019-11-12 19:07:53.894: INFO @log_variables: train recall: 0.993207 2019-11-12 19:07:53.894: INFO @log_variables: train f1: 0.993134 2019-11-12 19:07:53.894: INFO @log_variables: train accuracy mean: 0.993361 2019-11-12 19:07:53.894: INFO @log_variables: train loss mean: 0.018644 2019-11-12 19:07:53.894: INFO @log_variables: valid precision: 0.902438 2019-11-12 19:07:53.894: INFO @log_variables: valid recall: 0.895213 2019-11-12 19:07:53.894: INFO @log_variables: valid f1: 0.898352 2019-11-12 19:07:53.894: INFO @log_variables: valid accuracy mean: 0.902428 2019-11-12 19:07:53.894: INFO @log_variables: valid loss mean: 0.633890 2019-11-12 19:07:53.895: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:07:54.659: INFO @log_profile : T train: 25.044655 2019-11-12 19:07:54.659: INFO @log_profile : T valid: 2.558684 2019-11-12 19:07:54.659: INFO @log_profile : T read data: 378.814688 2019-11-12 19:07:54.659: INFO @log_profile : T hooks: 1.899755 2019-11-12 19:07:54.659: INFO @main_loop : Epoch 47 done 2019-11-12 19:07:54.660: INFO @main_loop : Training epoch 48 2019-11-12 19:14:47.135: INFO @log_variables: train precision: 0.994177 2019-11-12 19:14:47.136: INFO @log_variables: train recall: 0.994262 2019-11-12 19:14:47.137: INFO @log_variables: train f1: 0.994219 2019-11-12 19:14:47.137: INFO @log_variables: train accuracy mean: 0.994411 2019-11-12 19:14:47.137: INFO @log_variables: train loss mean: 0.015696 2019-11-12 19:14:47.137: INFO @log_variables: valid precision: 0.905781 2019-11-12 19:14:47.137: INFO @log_variables: valid recall: 0.902564 2019-11-12 19:14:47.137: INFO @log_variables: valid f1: 0.904069 2019-11-12 19:14:47.137: INFO @log_variables: valid accuracy mean: 0.907486 2019-11-12 19:14:47.137: INFO @log_variables: valid loss mean: 0.758864 2019-11-12 19:14:47.137: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:14:47.952: INFO @log_profile : T train: 25.553772 2019-11-12 19:14:47.952: INFO @log_profile : T valid: 2.789408 2019-11-12 19:14:47.952: INFO @log_profile : T read data: 382.814711 2019-11-12 19:14:47.952: INFO @log_profile : T hooks: 1.940024 2019-11-12 19:14:47.952: INFO @main_loop : Epoch 48 done 2019-11-12 19:14:47.952: INFO @main_loop : Training epoch 49 2019-11-12 19:21:40.441: INFO @log_variables: train precision: 0.992588 2019-11-12 19:21:40.442: INFO @log_variables: train recall: 0.992766 2019-11-12 19:21:40.442: INFO @log_variables: train f1: 0.992677 2019-11-12 19:21:40.442: INFO @log_variables: train accuracy mean: 0.992918 2019-11-12 19:21:40.442: INFO @log_variables: train loss mean: 0.020227 2019-11-12 19:21:40.442: INFO @log_variables: valid precision: 0.900997 2019-11-12 19:21:40.442: INFO @log_variables: valid recall: 0.908007 2019-11-12 19:21:40.442: INFO @log_variables: valid f1: 0.903740 2019-11-12 19:21:40.443: INFO @log_variables: valid accuracy mean: 0.905918 2019-11-12 19:21:40.443: INFO @log_variables: valid loss mean: 0.655979 2019-11-12 19:21:40.443: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:21:41.486: INFO @log_profile : T train: 24.468828 2019-11-12 19:21:41.486: INFO @log_profile : T valid: 2.684441 2019-11-12 19:21:41.486: INFO @log_profile : T read data: 384.002453 2019-11-12 19:21:41.486: INFO @log_profile : T hooks: 2.174623 2019-11-12 19:21:41.486: INFO @main_loop : Epoch 49 done 2019-11-12 19:21:41.486: INFO @main_loop : Training epoch 50 2019-11-12 19:28:27.360: INFO @log_variables: train precision: 0.992778 2019-11-12 19:28:27.362: INFO @log_variables: train recall: 0.992969 2019-11-12 19:28:27.362: INFO @log_variables: train f1: 0.992873 2019-11-12 19:28:27.362: INFO @log_variables: train accuracy mean: 0.993108 2019-11-12 19:28:27.362: INFO @log_variables: train loss mean: 0.018805 2019-11-12 19:28:27.362: INFO @log_variables: valid precision: 0.905735 2019-11-12 19:28:27.362: INFO @log_variables: valid recall: 0.900913 2019-11-12 19:28:27.362: INFO @log_variables: valid f1: 0.903102 2019-11-12 19:28:27.362: INFO @log_variables: valid accuracy mean: 0.906727 2019-11-12 19:28:27.362: INFO @log_variables: valid loss mean: 0.598469 2019-11-12 19:28:27.362: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:28:28.226: INFO @log_profile : T train: 25.290745 2019-11-12 19:28:28.226: INFO @log_profile : T valid: 2.714501 2019-11-12 19:28:28.226: INFO @log_profile : T read data: 376.578566 2019-11-12 19:28:28.226: INFO @log_profile : T hooks: 1.963246 2019-11-12 19:28:28.226: INFO @main_loop : Epoch 50 done 2019-11-12 19:28:28.226: INFO @main_loop : Training epoch 51 2019-11-12 19:35:25.999: INFO @log_variables: train precision: 0.994165 2019-11-12 19:35:26.000: INFO @log_variables: train recall: 0.994301 2019-11-12 19:35:26.000: INFO @log_variables: train f1: 0.994233 2019-11-12 19:35:26.001: INFO @log_variables: train accuracy mean: 0.994423 2019-11-12 19:35:26.001: INFO @log_variables: train loss mean: 0.015399 2019-11-12 19:35:26.001: INFO @log_variables: valid precision: 0.905139 2019-11-12 19:35:26.001: INFO @log_variables: valid recall: 0.905781 2019-11-12 19:35:26.001: INFO @log_variables: valid f1: 0.905455 2019-11-12 19:35:26.001: INFO @log_variables: valid accuracy mean: 0.908397 2019-11-12 19:35:26.001: INFO @log_variables: valid loss mean: 0.610467 2019-11-12 19:35:26.001: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:35:26.922: INFO @log_profile : T train: 25.104075 2019-11-12 19:35:26.923: INFO @log_profile : T valid: 2.676886 2019-11-12 19:35:26.923: INFO @log_profile : T read data: 388.642026 2019-11-12 19:35:26.923: INFO @log_profile : T hooks: 2.069995 2019-11-12 19:35:26.923: INFO @main_loop : Epoch 51 done 2019-11-12 19:35:26.923: INFO @main_loop : Training epoch 52 2019-11-12 19:42:17.065: INFO @log_variables: train precision: 0.994079 2019-11-12 19:42:17.066: INFO @log_variables: train recall: 0.994257 2019-11-12 19:42:17.066: INFO @log_variables: train f1: 0.994168 2019-11-12 19:42:17.066: INFO @log_variables: train accuracy mean: 0.994360 2019-11-12 19:42:17.066: INFO @log_variables: train loss mean: 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INFO @log_variables: train f1: 0.993644 2019-11-12 19:49:11.344: INFO @log_variables: train accuracy mean: 0.993854 2019-11-12 19:49:11.344: INFO @log_variables: train loss mean: 0.017197 2019-11-12 19:49:11.344: INFO @log_variables: valid precision: 0.908969 2019-11-12 19:49:11.344: INFO @log_variables: valid recall: 0.902378 2019-11-12 19:49:11.344: INFO @log_variables: valid f1: 0.905282 2019-11-12 19:49:11.344: INFO @log_variables: valid accuracy mean: 0.909004 2019-11-12 19:49:11.344: INFO @log_variables: valid loss mean: 0.726751 2019-11-12 19:49:11.344: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:49:12.211: INFO @log_profile : T train: 24.992034 2019-11-12 19:49:12.211: INFO @log_profile : T valid: 2.755988 2019-11-12 19:49:12.211: INFO @log_profile : T read data: 384.362607 2019-11-12 19:49:12.211: INFO @log_profile : T hooks: 1.968391 2019-11-12 19:49:12.211: INFO @main_loop : Epoch 53 done 2019-11-12 19:49:12.211: INFO @main_loop : Training epoch 54 2019-11-12 19:56:13.817: INFO @log_variables: train precision: 0.994279 2019-11-12 19:56:13.818: INFO @log_variables: train recall: 0.994317 2019-11-12 19:56:13.818: INFO @log_variables: train f1: 0.994298 2019-11-12 19:56:13.818: INFO @log_variables: train accuracy mean: 0.994487 2019-11-12 19:56:13.818: INFO @log_variables: train loss mean: 0.015848 2019-11-12 19:56:13.818: INFO @log_variables: valid precision: 0.905924 2019-11-12 19:56:13.818: INFO @log_variables: valid recall: 0.903572 2019-11-12 19:56:13.818: INFO @log_variables: valid f1: 0.904691 2019-11-12 19:56:13.818: INFO @log_variables: valid accuracy mean: 0.907992 2019-11-12 19:56:13.818: INFO @log_variables: valid loss mean: 0.671829 2019-11-12 19:56:13.818: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 19:56:14.713: INFO @log_profile : T train: 24.333107 2019-11-12 19:56:14.713: INFO @log_profile : T valid: 2.676529 2019-11-12 19:56:14.713: INFO @log_profile : T read data: 393.277024 2019-11-12 19:56:14.713: INFO @log_profile : T hooks: 2.020144 2019-11-12 19:56:14.713: INFO @main_loop : Epoch 54 done 2019-11-12 19:56:14.713: INFO @main_loop : Training epoch 55 2019-11-12 20:03:09.921: INFO @log_variables: train precision: 0.994706 2019-11-12 20:03:09.922: INFO @log_variables: train recall: 0.994805 2019-11-12 20:03:09.922: INFO @log_variables: train f1: 0.994756 2019-11-12 20:03:09.922: INFO @log_variables: train accuracy mean: 0.994929 2019-11-12 20:03:09.922: INFO @log_variables: train loss mean: 0.014510 2019-11-12 20:03:09.922: INFO @log_variables: valid precision: 0.907872 2019-11-12 20:03:09.922: INFO @log_variables: valid recall: 0.905143 2019-11-12 20:03:09.922: INFO @log_variables: valid f1: 0.906433 2019-11-12 20:03:09.922: INFO @log_variables: valid accuracy mean: 0.909712 2019-11-12 20:03:09.922: INFO @log_variables: valid loss mean: 0.635201 2019-11-12 20:03:09.922: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:03:10.759: INFO @log_profile : T train: 24.928855 2019-11-12 20:03:10.759: INFO @log_profile : T valid: 2.688454 2019-11-12 20:03:10.760: INFO @log_profile : T read data: 386.227420 2019-11-12 20:03:10.760: INFO @log_profile : T hooks: 2.005835 2019-11-12 20:03:10.760: INFO @main_loop : Epoch 55 done 2019-11-12 20:03:10.760: INFO @main_loop : Training epoch 56 2019-11-12 20:09:23.164: INFO @log_variables: train precision: 0.994750 2019-11-12 20:09:23.164: INFO @log_variables: train recall: 0.994787 2019-11-12 20:09:23.165: INFO @log_variables: train f1: 0.994769 2019-11-12 20:09:23.165: INFO @log_variables: train accuracy mean: 0.994942 2019-11-12 20:09:23.165: INFO @log_variables: train loss mean: 0.015074 2019-11-12 20:09:23.165: INFO @log_variables: valid precision: 0.908863 2019-11-12 20:09:23.165: INFO @log_variables: valid recall: 0.906987 2019-11-12 20:09:23.165: INFO @log_variables: valid f1: 0.907889 2019-11-12 20:09:23.165: INFO @log_variables: valid accuracy mean: 0.911027 2019-11-12 20:09:23.165: INFO @log_variables: valid loss mean: 0.612983 2019-11-12 20:09:23.165: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:09:23.885: INFO @log_profile : T train: 24.433287 2019-11-12 20:09:23.885: INFO @log_profile : T valid: 2.503577 2019-11-12 20:09:23.885: INFO @log_profile : T read data: 344.211015 2019-11-12 20:09:23.886: INFO @log_profile : T hooks: 1.788724 2019-11-12 20:09:23.886: INFO @main_loop : Epoch 56 done 2019-11-12 20:09:23.886: INFO @main_loop : Training epoch 57 2019-11-12 20:15:09.809: INFO @log_variables: train precision: 0.994323 2019-11-12 20:15:09.811: INFO @log_variables: train recall: 0.994403 2019-11-12 20:15:09.811: INFO @log_variables: train f1: 0.994363 2019-11-12 20:15:09.811: INFO @log_variables: train accuracy mean: 0.994550 2019-11-12 20:15:09.811: INFO @log_variables: train loss mean: 0.015764 2019-11-12 20:15:09.811: INFO @log_variables: valid precision: 0.904754 2019-11-12 20:15:09.812: INFO @log_variables: valid recall: 0.906645 2019-11-12 20:15:09.812: INFO @log_variables: valid f1: 0.905657 2019-11-12 20:15:09.812: INFO @log_variables: valid accuracy mean: 0.908447 2019-11-12 20:15:09.812: INFO @log_variables: valid loss mean: 0.583644 2019-11-12 20:15:09.812: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:15:12.001: INFO @log_profile : T train: 23.595781 2019-11-12 20:15:12.001: INFO @log_profile : T valid: 2.463600 2019-11-12 20:15:12.001: INFO @log_profile : T read data: 318.602390 2019-11-12 20:15:12.001: INFO @log_profile : T hooks: 3.267943 2019-11-12 20:15:12.001: INFO @main_loop : Epoch 57 done 2019-11-12 20:15:12.001: INFO @main_loop : Training epoch 58 2019-11-12 20:20:48.477: INFO @log_variables: train precision: 0.994528 2019-11-12 20:20:48.477: INFO @log_variables: train recall: 0.994617 2019-11-12 20:20:48.477: INFO @log_variables: train f1: 0.994573 2019-11-12 20:20:48.477: INFO @log_variables: train accuracy mean: 0.994752 2019-11-12 20:20:48.477: INFO @log_variables: train loss mean: 0.014921 2019-11-12 20:20:48.477: INFO @log_variables: valid precision: 0.905186 2019-11-12 20:20:48.478: INFO @log_variables: valid recall: 0.903583 2019-11-12 20:20:48.478: INFO @log_variables: valid f1: 0.904358 2019-11-12 20:20:48.478: INFO @log_variables: valid accuracy mean: 0.907587 2019-11-12 20:20:48.478: INFO @log_variables: valid loss mean: 0.607113 2019-11-12 20:20:48.478: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:20:49.198: INFO @log_profile : T train: 24.275101 2019-11-12 20:20:49.198: INFO @log_profile : T valid: 2.526835 2019-11-12 20:20:49.198: INFO @log_profile : T read data: 308.420420 2019-11-12 20:20:49.198: INFO @log_profile : T hooks: 1.789660 2019-11-12 20:20:49.198: INFO @main_loop : Epoch 58 done 2019-11-12 20:20:49.198: INFO @main_loop : Training epoch 59 2019-11-12 20:26:31.510: INFO @log_variables: train precision: 0.994608 2019-11-12 20:26:31.510: INFO @log_variables: train recall: 0.994641 2019-11-12 20:26:31.510: INFO @log_variables: train f1: 0.994625 2019-11-12 20:26:31.510: INFO @log_variables: train accuracy mean: 0.994803 2019-11-12 20:26:31.510: INFO @log_variables: train loss mean: 0.014771 2019-11-12 20:26:31.510: INFO @log_variables: valid precision: 0.906995 2019-11-12 20:26:31.510: INFO @log_variables: valid recall: 0.906473 2019-11-12 20:26:31.510: INFO @log_variables: valid f1: 0.906731 2019-11-12 20:26:31.510: INFO @log_variables: valid accuracy mean: 0.909762 2019-11-12 20:26:31.510: INFO @log_variables: valid loss mean: 0.609057 2019-11-12 20:26:31.510: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:26:32.248: INFO @log_profile : T train: 23.599551 2019-11-12 20:26:32.248: INFO @log_profile : T valid: 2.353349 2019-11-12 20:26:32.248: INFO @log_profile : T read data: 315.095981 2019-11-12 20:26:32.248: INFO @log_profile : T hooks: 1.816922 2019-11-12 20:26:32.248: INFO @main_loop : Epoch 59 done 2019-11-12 20:26:32.248: INFO @main_loop : Training epoch 60 2019-11-12 20:32:11.525: INFO @log_variables: train precision: 0.994871 2019-11-12 20:32:11.525: INFO @log_variables: train recall: 0.994928 2019-11-12 20:32:11.525: INFO @log_variables: train f1: 0.994899 2019-11-12 20:32:11.525: INFO @log_variables: train accuracy mean: 0.995068 2019-11-12 20:32:11.525: INFO @log_variables: train loss mean: 0.013624 2019-11-12 20:32:11.525: INFO @log_variables: valid precision: 0.905643 2019-11-12 20:32:11.525: INFO @log_variables: valid recall: 0.903456 2019-11-12 20:32:11.525: INFO @log_variables: valid f1: 0.904500 2019-11-12 20:32:11.525: INFO @log_variables: valid accuracy mean: 0.907790 2019-11-12 20:32:11.525: INFO @log_variables: valid loss mean: 0.650288 2019-11-12 20:32:11.525: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:32:12.240: INFO @log_profile : T train: 24.462730 2019-11-12 20:32:12.240: INFO @log_profile : T valid: 2.340337 2019-11-12 20:32:12.240: INFO @log_profile : T read data: 311.260271 2019-11-12 20:32:12.240: INFO @log_profile : T hooks: 1.745750 2019-11-12 20:32:12.241: INFO @main_loop : Epoch 60 done 2019-11-12 20:32:12.241: INFO @main_loop : Training epoch 61 2019-11-12 20:37:54.804: INFO @log_variables: train precision: 0.994730 2019-11-12 20:37:54.806: INFO @log_variables: train recall: 0.994781 2019-11-12 20:37:54.806: INFO @log_variables: train f1: 0.994756 2019-11-12 20:37:54.806: INFO @log_variables: train accuracy mean: 0.994929 2019-11-12 20:37:54.806: INFO @log_variables: train loss mean: 0.014713 2019-11-12 20:37:54.806: INFO @log_variables: valid precision: 0.901725 2019-11-12 20:37:54.806: INFO @log_variables: valid recall: 0.905790 2019-11-12 20:37:54.806: INFO @log_variables: valid f1: 0.903539 2019-11-12 20:37:54.806: INFO @log_variables: valid accuracy mean: 0.906120 2019-11-12 20:37:54.806: INFO @log_variables: valid loss mean: 0.585120 2019-11-12 20:37:54.806: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:37:55.529: INFO @log_profile : T train: 24.383244 2019-11-12 20:37:55.529: INFO @log_profile : T valid: 2.595841 2019-11-12 20:37:55.529: INFO @log_profile : T read data: 314.379270 2019-11-12 20:37:55.529: INFO @log_profile : T hooks: 1.739421 2019-11-12 20:37:55.529: INFO @main_loop : Epoch 61 done 2019-11-12 20:37:55.529: INFO @main_loop : Training epoch 62 2019-11-12 20:43:33.103: INFO @log_variables: train precision: 0.994571 2019-11-12 20:43:33.103: INFO @log_variables: train recall: 0.994679 2019-11-12 20:43:33.103: INFO @log_variables: train f1: 0.994625 2019-11-12 20:43:33.103: INFO @log_variables: train accuracy mean: 0.994803 2019-11-12 20:43:33.103: INFO @log_variables: train loss mean: 0.014110 2019-11-12 20:43:33.103: INFO @log_variables: valid precision: 0.901916 2019-11-12 20:43:33.103: INFO @log_variables: valid recall: 0.902096 2019-11-12 20:43:33.103: INFO @log_variables: valid f1: 0.902006 2019-11-12 20:43:33.103: INFO @log_variables: valid accuracy mean: 0.905109 2019-11-12 20:43:33.103: INFO @log_variables: valid loss mean: 0.615615 2019-11-12 20:43:33.103: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:43:33.826: INFO @log_profile : T train: 24.347962 2019-11-12 20:43:33.826: INFO @log_profile : T valid: 2.503879 2019-11-12 20:43:33.826: INFO @log_profile : T read data: 309.453088 2019-11-12 20:43:33.826: INFO @log_profile : T hooks: 1.805896 2019-11-12 20:43:33.826: INFO @main_loop : Epoch 62 done 2019-11-12 20:43:33.826: INFO @main_loop : Training epoch 63 2019-11-12 20:49:12.355: INFO @log_variables: train precision: 0.994334 2019-11-12 20:49:12.355: INFO @log_variables: train recall: 0.994419 2019-11-12 20:49:12.355: INFO @log_variables: train f1: 0.994376 2019-11-12 20:49:12.355: INFO @log_variables: train accuracy mean: 0.994562 2019-11-12 20:49:12.355: INFO @log_variables: train loss mean: 0.014744 2019-11-12 20:49:12.355: INFO @log_variables: valid precision: 0.907054 2019-11-12 20:49:12.355: INFO @log_variables: valid recall: 0.898247 2019-11-12 20:49:12.355: INFO @log_variables: valid f1: 0.901983 2019-11-12 20:49:12.355: INFO @log_variables: valid accuracy mean: 0.906070 2019-11-12 20:49:12.355: INFO @log_variables: valid loss mean: 0.679462 2019-11-12 20:49:12.355: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:49:13.072: INFO @log_profile : T train: 24.113242 2019-11-12 20:49:13.072: INFO @log_profile : T valid: 2.540226 2019-11-12 20:49:13.072: INFO @log_profile : T read data: 310.625821 2019-11-12 20:49:13.072: INFO @log_profile : T hooks: 1.781180 2019-11-12 20:49:13.072: INFO @main_loop : Epoch 63 done 2019-11-12 20:49:13.072: INFO @main_loop : Training epoch 64 2019-11-12 20:54:55.052: INFO @log_variables: train precision: 0.995763 2019-11-12 20:54:55.053: INFO @log_variables: train recall: 0.995867 2019-11-12 20:54:55.053: INFO @log_variables: train f1: 0.995815 2019-11-12 20:54:55.053: INFO @log_variables: train accuracy mean: 0.995953 2019-11-12 20:54:55.053: INFO @log_variables: train loss mean: 0.011715 2019-11-12 20:54:55.053: INFO @log_variables: valid precision: 0.906433 2019-11-12 20:54:55.053: INFO @log_variables: valid recall: 0.905617 2019-11-12 20:54:55.053: INFO @log_variables: valid f1: 0.906018 2019-11-12 20:54:55.053: INFO @log_variables: valid accuracy mean: 0.909105 2019-11-12 20:54:55.053: INFO @log_variables: valid loss mean: 0.635224 2019-11-12 20:54:55.053: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 20:54:55.775: INFO @log_profile : T train: 23.622832 2019-11-12 20:54:55.775: INFO @log_profile : T valid: 2.495919 2019-11-12 20:54:55.775: INFO @log_profile : T read data: 314.645600 2019-11-12 20:54:55.775: INFO @log_profile : T hooks: 1.752718 2019-11-12 20:54:55.775: INFO @main_loop : Epoch 64 done 2019-11-12 20:54:55.775: INFO @main_loop : Training epoch 65 2019-11-12 21:00:37.177: INFO @log_variables: train precision: 0.994873 2019-11-12 21:00:37.178: INFO @log_variables: train recall: 0.994953 2019-11-12 21:00:37.178: INFO @log_variables: train f1: 0.994913 2019-11-12 21:00:37.178: INFO @log_variables: train accuracy mean: 0.995081 2019-11-12 21:00:37.178: INFO @log_variables: train loss mean: 0.014025 2019-11-12 21:00:37.178: INFO @log_variables: valid precision: 0.905304 2019-11-12 21:00:37.178: INFO @log_variables: valid recall: 0.906356 2019-11-12 21:00:37.178: INFO @log_variables: valid f1: 0.905817 2019-11-12 21:00:37.178: INFO @log_variables: valid accuracy mean: 0.908700 2019-11-12 21:00:37.178: INFO @log_variables: valid loss mean: 0.700903 2019-11-12 21:00:37.178: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:00:38.129: INFO @log_profile : T train: 24.145318 2019-11-12 21:00:38.129: INFO @log_profile : T valid: 2.516103 2019-11-12 21:00:38.129: INFO @log_profile : T read data: 313.505004 2019-11-12 21:00:38.129: INFO @log_profile : T hooks: 2.003106 2019-11-12 21:00:38.129: INFO @main_loop : Epoch 65 done 2019-11-12 21:00:38.129: INFO @main_loop : Training epoch 66 2019-11-12 21:06:20.298: INFO @log_variables: train precision: 0.995748 2019-11-12 21:06:20.298: INFO @log_variables: train recall: 0.995777 2019-11-12 21:06:20.298: INFO @log_variables: train f1: 0.995762 2019-11-12 21:06:20.298: INFO @log_variables: train accuracy mean: 0.995903 2019-11-12 21:06:20.298: INFO @log_variables: train loss mean: 0.011853 2019-11-12 21:06:20.298: INFO @log_variables: valid precision: 0.906852 2019-11-12 21:06:20.298: INFO @log_variables: valid recall: 0.907806 2019-11-12 21:06:20.298: INFO @log_variables: valid f1: 0.907318 2019-11-12 21:06:20.298: INFO @log_variables: valid accuracy mean: 0.910167 2019-11-12 21:06:20.298: INFO @log_variables: valid loss mean: 0.705341 2019-11-12 21:06:20.299: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:06:21.026: INFO @log_profile : T train: 24.359540 2019-11-12 21:06:21.026: INFO @log_profile : T valid: 2.386098 2019-11-12 21:06:21.026: INFO @log_profile : T read data: 314.185834 2019-11-12 21:06:21.026: INFO @log_profile : T hooks: 1.780830 2019-11-12 21:06:21.026: INFO @main_loop : Epoch 66 done 2019-11-12 21:06:21.026: INFO @main_loop : Training epoch 67 2019-11-12 21:12:04.794: INFO @log_variables: train precision: 0.995207 2019-11-12 21:12:04.796: INFO @log_variables: train recall: 0.995273 2019-11-12 21:12:04.796: INFO @log_variables: train f1: 0.995239 2019-11-12 21:12:04.796: INFO @log_variables: train accuracy mean: 0.995397 2019-11-12 21:12:04.796: INFO @log_variables: train loss mean: 0.013722 2019-11-12 21:12:04.796: INFO @log_variables: valid precision: 0.908022 2019-11-12 21:12:04.796: INFO @log_variables: valid recall: 0.902600 2019-11-12 21:12:04.796: INFO @log_variables: valid f1: 0.905037 2019-11-12 21:12:04.796: INFO @log_variables: valid accuracy mean: 0.908649 2019-11-12 21:12:04.796: INFO @log_variables: valid loss mean: 0.721125 2019-11-12 21:12:04.796: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:12:05.538: INFO @log_profile : T train: 24.253657 2019-11-12 21:12:05.538: INFO @log_profile : T valid: 2.530801 2019-11-12 21:12:05.538: INFO @log_profile : T read data: 315.724418 2019-11-12 21:12:05.539: INFO @log_profile : T hooks: 1.815401 2019-11-12 21:12:05.539: INFO @main_loop : Epoch 67 done 2019-11-12 21:12:05.539: INFO @main_loop : Training epoch 68 2019-11-12 21:17:48.241: INFO @log_variables: train precision: 0.995558 2019-11-12 21:17:48.241: INFO @log_variables: train recall: 0.995548 2019-11-12 21:17:48.241: INFO @log_variables: train f1: 0.995553 2019-11-12 21:17:48.241: INFO @log_variables: train accuracy mean: 0.995701 2019-11-12 21:17:48.241: INFO @log_variables: train loss mean: 0.012001 2019-11-12 21:17:48.241: INFO @log_variables: valid precision: 0.907453 2019-11-12 21:17:48.241: INFO @log_variables: valid recall: 0.901367 2019-11-12 21:17:48.241: INFO @log_variables: valid f1: 0.904070 2019-11-12 21:17:48.241: INFO @log_variables: valid accuracy mean: 0.907790 2019-11-12 21:17:48.241: INFO @log_variables: valid loss mean: 0.720639 2019-11-12 21:17:48.242: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:17:48.999: INFO @log_profile : T train: 24.578705 2019-11-12 21:17:48.999: INFO @log_profile : T valid: 2.382735 2019-11-12 21:17:48.999: INFO @log_profile : T read data: 314.497742 2019-11-12 21:17:48.999: INFO @log_profile : T hooks: 1.816219 2019-11-12 21:17:48.999: INFO @main_loop : Epoch 68 done 2019-11-12 21:17:48.999: INFO @main_loop : Training epoch 69 2019-11-12 21:23:30.149: INFO @log_variables: train precision: 0.995445 2019-11-12 21:23:30.149: INFO @log_variables: train recall: 0.995478 2019-11-12 21:23:30.149: INFO @log_variables: train f1: 0.995462 2019-11-12 21:23:30.149: INFO @log_variables: train accuracy mean: 0.995612 2019-11-12 21:23:30.150: INFO @log_variables: train loss mean: 0.012550 2019-11-12 21:23:30.150: INFO @log_variables: valid precision: 0.903017 2019-11-12 21:23:30.150: INFO @log_variables: valid recall: 0.905451 2019-11-12 21:23:30.150: INFO @log_variables: valid f1: 0.904161 2019-11-12 21:23:30.150: INFO @log_variables: valid accuracy mean: 0.906930 2019-11-12 21:23:30.150: INFO @log_variables: valid loss mean: 0.647498 2019-11-12 21:23:30.150: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:23:30.876: INFO @log_profile : T train: 23.671661 2019-11-12 21:23:30.876: INFO @log_profile : T valid: 2.362984 2019-11-12 21:23:30.876: INFO @log_profile : T read data: 313.879598 2019-11-12 21:23:30.876: INFO @log_profile : T hooks: 1.777624 2019-11-12 21:23:30.876: INFO @main_loop : Epoch 69 done 2019-11-12 21:23:30.876: INFO @main_loop : Training epoch 70 2019-11-12 21:29:17.203: INFO @log_variables: train precision: 0.996336 2019-11-12 21:29:17.203: INFO @log_variables: train recall: 0.996393 2019-11-12 21:29:17.203: INFO @log_variables: train f1: 0.996364 2019-11-12 21:29:17.203: INFO @log_variables: train accuracy mean: 0.996485 2019-11-12 21:29:17.203: INFO @log_variables: train loss mean: 0.010597 2019-11-12 21:29:17.203: INFO @log_variables: valid precision: 0.903770 2019-11-12 21:29:17.203: INFO @log_variables: valid recall: 0.906126 2019-11-12 21:29:17.204: INFO @log_variables: valid f1: 0.904881 2019-11-12 21:29:17.204: INFO @log_variables: valid accuracy mean: 0.907638 2019-11-12 21:29:17.204: INFO @log_variables: valid loss mean: 0.733191 2019-11-12 21:29:17.204: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:29:17.923: INFO @log_profile : T train: 23.629424 2019-11-12 21:29:17.923: INFO @log_profile : T valid: 2.501113 2019-11-12 21:29:17.923: INFO @log_profile : T read data: 318.936930 2019-11-12 21:29:17.923: INFO @log_profile : T hooks: 1.792807 2019-11-12 21:29:17.924: INFO @main_loop : Epoch 70 done 2019-11-12 21:29:17.924: INFO @main_loop : Training epoch 71 2019-11-12 21:35:02.911: INFO @log_variables: train precision: 0.995692 2019-11-12 21:35:02.911: INFO @log_variables: train recall: 0.995834 2019-11-12 21:35:02.911: INFO @log_variables: train f1: 0.995763 2019-11-12 21:35:02.911: INFO @log_variables: train accuracy mean: 0.995903 2019-11-12 21:35:02.911: INFO @log_variables: train loss mean: 0.011504 2019-11-12 21:35:02.911: INFO @log_variables: valid precision: 0.903542 2019-11-12 21:35:02.911: INFO @log_variables: valid recall: 0.906128 2019-11-12 21:35:02.911: INFO @log_variables: valid f1: 0.904753 2019-11-12 21:35:02.912: INFO @log_variables: valid accuracy mean: 0.907486 2019-11-12 21:35:02.912: INFO @log_variables: valid loss mean: 0.746510 2019-11-12 21:35:02.912: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:35:03.652: INFO @log_profile : T train: 24.309218 2019-11-12 21:35:03.652: INFO @log_profile : T valid: 2.490581 2019-11-12 21:35:03.652: INFO @log_profile : T read data: 316.959411 2019-11-12 21:35:03.653: INFO @log_profile : T hooks: 1.782906 2019-11-12 21:35:03.653: INFO @main_loop : Epoch 71 done 2019-11-12 21:35:03.653: INFO @main_loop : Training epoch 72 2019-11-12 21:40:47.770: INFO @log_variables: train precision: 0.995070 2019-11-12 21:40:47.770: INFO @log_variables: train recall: 0.995121 2019-11-12 21:40:47.770: INFO @log_variables: train f1: 0.995096 2019-11-12 21:40:47.770: INFO @log_variables: train accuracy mean: 0.995258 2019-11-12 21:40:47.771: INFO @log_variables: train loss mean: 0.012496 2019-11-12 21:40:47.771: INFO @log_variables: valid precision: 0.899098 2019-11-12 21:40:47.771: INFO @log_variables: valid recall: 0.908005 2019-11-12 21:40:47.771: INFO @log_variables: valid f1: 0.902129 2019-11-12 21:40:47.771: INFO @log_variables: valid accuracy mean: 0.904047 2019-11-12 21:40:47.771: INFO @log_variables: valid loss mean: 0.805599 2019-11-12 21:40:47.771: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:40:48.510: INFO @log_profile : T train: 23.562534 2019-11-12 21:40:48.510: INFO @log_profile : T valid: 2.498386 2019-11-12 21:40:48.510: INFO @log_profile : T read data: 316.803098 2019-11-12 21:40:48.510: INFO @log_profile : T hooks: 1.803202 2019-11-12 21:40:48.510: INFO @main_loop : Epoch 72 done 2019-11-12 21:40:48.510: INFO @main_loop : Training epoch 73 2019-11-12 21:46:32.767: INFO @log_variables: train precision: 0.995514 2019-11-12 21:46:32.767: INFO @log_variables: train recall: 0.995646 2019-11-12 21:46:32.767: INFO @log_variables: train f1: 0.995580 2019-11-12 21:46:32.767: INFO @log_variables: train accuracy mean: 0.995726 2019-11-12 21:46:32.767: INFO @log_variables: train loss mean: 0.012323 2019-11-12 21:46:32.767: INFO @log_variables: valid precision: 0.903869 2019-11-12 21:46:32.767: INFO @log_variables: valid recall: 0.890656 2019-11-12 21:46:32.767: INFO @log_variables: valid f1: 0.895881 2019-11-12 21:46:32.767: INFO @log_variables: valid accuracy mean: 0.900708 2019-11-12 21:46:32.767: INFO @log_variables: valid loss mean: 0.678135 2019-11-12 21:46:32.767: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:46:33.470: INFO @log_profile : T train: 24.187008 2019-11-12 21:46:33.470: INFO @log_profile : T valid: 2.454689 2019-11-12 21:46:33.470: INFO @log_profile : T read data: 316.362260 2019-11-12 21:46:33.470: INFO @log_profile : T hooks: 1.767614 2019-11-12 21:46:33.470: INFO @main_loop : Epoch 73 done 2019-11-12 21:46:33.471: INFO @main_loop : Training epoch 74 2019-11-12 21:52:21.857: INFO @log_variables: train precision: 0.995556 2019-11-12 21:52:21.858: INFO @log_variables: train recall: 0.995603 2019-11-12 21:52:21.858: INFO @log_variables: train f1: 0.995579 2019-11-12 21:52:21.858: INFO @log_variables: train accuracy mean: 0.995726 2019-11-12 21:52:21.858: INFO @log_variables: train loss mean: 0.011576 2019-11-12 21:52:21.858: INFO @log_variables: valid precision: 0.901620 2019-11-12 21:52:21.858: INFO @log_variables: valid recall: 0.909367 2019-11-12 21:52:21.858: INFO @log_variables: valid f1: 0.904520 2019-11-12 21:52:21.858: INFO @log_variables: valid accuracy mean: 0.906576 2019-11-12 21:52:21.858: INFO @log_variables: valid loss mean: 0.936336 2019-11-12 21:52:21.858: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:52:22.861: INFO @log_profile : T train: 24.281314 2019-11-12 21:52:22.861: INFO @log_profile : T valid: 2.373164 2019-11-12 21:52:22.861: INFO @log_profile : T read data: 320.495367 2019-11-12 21:52:22.861: INFO @log_profile : T hooks: 2.054531 2019-11-12 21:52:22.861: INFO @main_loop : Epoch 74 done 2019-11-12 21:52:22.861: INFO @main_loop : Training epoch 75 2019-11-12 21:58:12.436: INFO @log_variables: train precision: 0.996321 2019-11-12 21:58:12.436: INFO @log_variables: train recall: 0.996487 2019-11-12 21:58:12.436: INFO @log_variables: train f1: 0.996404 2019-11-12 21:58:12.436: INFO @log_variables: train accuracy mean: 0.996522 2019-11-12 21:58:12.436: INFO @log_variables: train loss mean: 0.009989 2019-11-12 21:58:12.437: INFO @log_variables: valid precision: 0.900923 2019-11-12 21:58:12.437: INFO @log_variables: valid recall: 0.903398 2019-11-12 21:58:12.437: INFO @log_variables: valid f1: 0.902085 2019-11-12 21:58:12.437: INFO @log_variables: valid accuracy mean: 0.904906 2019-11-12 21:58:12.437: INFO @log_variables: valid loss mean: 0.650110 2019-11-12 21:58:12.437: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 21:58:13.158: INFO @log_profile : T train: 23.600026 2019-11-12 21:58:13.158: INFO @log_profile : T valid: 2.345818 2019-11-12 21:58:13.158: INFO @log_profile : T read data: 322.400927 2019-11-12 21:58:13.158: INFO @log_profile : T hooks: 1.766540 2019-11-12 21:58:13.158: INFO @main_loop : Epoch 75 done 2019-11-12 21:58:13.158: INFO @main_loop : Training epoch 76 2019-11-12 22:04:01.218: INFO @log_variables: train precision: 0.995667 2019-11-12 22:04:01.218: INFO @log_variables: train recall: 0.995648 2019-11-12 22:04:01.218: INFO @log_variables: train f1: 0.995658 2019-11-12 22:04:01.218: INFO @log_variables: train accuracy mean: 0.995802 2019-11-12 22:04:01.219: INFO @log_variables: train loss mean: 0.012207 2019-11-12 22:04:01.219: INFO @log_variables: valid precision: 0.907158 2019-11-12 22:04:01.219: INFO @log_variables: valid recall: 0.900818 2019-11-12 22:04:01.219: INFO @log_variables: valid f1: 0.903621 2019-11-12 22:04:01.219: INFO @log_variables: valid accuracy mean: 0.907385 2019-11-12 22:04:01.219: INFO @log_variables: valid loss mean: 0.703371 2019-11-12 22:04:01.219: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:04:01.906: INFO @log_profile : T train: 23.542358 2019-11-12 22:04:01.906: INFO @log_profile : T valid: 2.337373 2019-11-12 22:04:01.906: INFO @log_profile : T read data: 320.975293 2019-11-12 22:04:01.906: INFO @log_profile : T hooks: 1.707803 2019-11-12 22:04:01.906: INFO @main_loop : Epoch 76 done 2019-11-12 22:04:01.906: INFO @main_loop : Training epoch 77 2019-11-12 22:09:51.476: INFO @log_variables: train precision: 0.996599 2019-11-12 22:09:51.476: INFO @log_variables: train recall: 0.996679 2019-11-12 22:09:51.476: INFO @log_variables: train f1: 0.996639 2019-11-12 22:09:51.476: INFO @log_variables: train accuracy mean: 0.996750 2019-11-12 22:09:51.476: INFO @log_variables: train loss mean: 0.009246 2019-11-12 22:09:51.476: INFO @log_variables: valid precision: 0.906368 2019-11-12 22:09:51.476: INFO @log_variables: valid recall: 0.903247 2019-11-12 22:09:51.476: INFO @log_variables: valid f1: 0.904710 2019-11-12 22:09:51.476: INFO @log_variables: valid accuracy mean: 0.908093 2019-11-12 22:09:51.476: INFO @log_variables: valid loss mean: 0.759942 2019-11-12 22:09:51.476: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:09:52.197: INFO @log_profile : T train: 24.037872 2019-11-12 22:09:52.197: INFO @log_profile : T valid: 2.572417 2019-11-12 22:09:52.197: INFO @log_profile : T read data: 321.693113 2019-11-12 22:09:52.197: INFO @log_profile : T hooks: 1.800259 2019-11-12 22:09:52.197: INFO @main_loop : Epoch 77 done 2019-11-12 22:09:52.197: INFO @main_loop : Training epoch 78 2019-11-12 22:15:41.651: INFO @log_variables: train precision: 0.996027 2019-11-12 22:15:41.651: INFO @log_variables: train recall: 0.995994 2019-11-12 22:15:41.651: INFO @log_variables: train f1: 0.996011 2019-11-12 22:15:41.651: INFO @log_variables: train accuracy mean: 0.996143 2019-11-12 22:15:41.652: INFO @log_variables: train loss mean: 0.011138 2019-11-12 22:15:41.652: INFO @log_variables: valid precision: 0.909239 2019-11-12 22:15:41.652: INFO @log_variables: valid recall: 0.910228 2019-11-12 22:15:41.652: INFO @log_variables: valid f1: 0.909722 2019-11-12 22:15:41.652: INFO @log_variables: valid accuracy mean: 0.912494 2019-11-12 22:15:41.652: INFO @log_variables: valid loss mean: 0.716650 2019-11-12 22:15:41.652: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:15:42.407: INFO @log_profile : T train: 24.262344 2019-11-12 22:15:42.408: INFO @log_profile : T valid: 2.363198 2019-11-12 22:15:42.408: INFO @log_profile : T read data: 321.583723 2019-11-12 22:15:42.408: INFO @log_profile : T hooks: 1.812302 2019-11-12 22:15:42.408: INFO @main_loop : Epoch 78 done 2019-11-12 22:15:42.408: INFO @main_loop : Training epoch 79 2019-11-12 22:21:33.538: INFO @log_variables: train precision: 0.995899 2019-11-12 22:21:33.539: INFO @log_variables: train recall: 0.995913 2019-11-12 22:21:33.539: INFO @log_variables: train f1: 0.995906 2019-11-12 22:21:33.539: INFO @log_variables: train accuracy mean: 0.996042 2019-11-12 22:21:33.539: INFO @log_variables: train loss mean: 0.011136 2019-11-12 22:21:33.539: INFO @log_variables: valid precision: 0.903948 2019-11-12 22:21:33.539: INFO @log_variables: valid recall: 0.906912 2019-11-12 22:21:33.539: INFO @log_variables: valid f1: 0.905320 2019-11-12 22:21:33.539: INFO @log_variables: valid accuracy mean: 0.907992 2019-11-12 22:21:33.539: INFO @log_variables: valid loss mean: 0.726925 2019-11-12 22:21:33.539: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:21:34.256: INFO @log_profile : T train: 24.022958 2019-11-12 22:21:34.256: INFO @log_profile : T valid: 2.510388 2019-11-12 22:21:34.256: INFO @log_profile : T read data: 323.350192 2019-11-12 22:21:34.256: INFO @log_profile : T hooks: 1.779082 2019-11-12 22:21:34.256: INFO @main_loop : Epoch 79 done 2019-11-12 22:21:34.256: INFO @main_loop : Training epoch 80 2019-11-12 22:27:24.630: INFO @log_variables: train precision: 0.996873 2019-11-12 22:27:24.630: INFO @log_variables: train recall: 0.996901 2019-11-12 22:27:24.630: INFO @log_variables: train f1: 0.996887 2019-11-12 22:27:24.630: INFO @log_variables: train accuracy mean: 0.996990 2019-11-12 22:27:24.630: INFO @log_variables: train loss mean: 0.009051 2019-11-12 22:27:24.630: INFO @log_variables: valid precision: 0.903042 2019-11-12 22:27:24.630: INFO @log_variables: valid recall: 0.903710 2019-11-12 22:27:24.630: INFO @log_variables: valid f1: 0.903371 2019-11-12 22:27:24.630: INFO @log_variables: valid accuracy mean: 0.906373 2019-11-12 22:27:24.630: INFO @log_variables: valid loss mean: 0.676325 2019-11-12 22:27:24.631: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:27:25.349: INFO @log_profile : T train: 24.151705 2019-11-12 22:27:25.349: INFO @log_profile : T valid: 2.407210 2019-11-12 22:27:25.350: INFO @log_profile : T read data: 322.560187 2019-11-12 22:27:25.350: INFO @log_profile : T hooks: 1.786356 2019-11-12 22:27:25.350: INFO @main_loop : Epoch 80 done 2019-11-12 22:27:25.350: INFO @main_loop : Training epoch 81 2019-11-12 22:33:17.782: INFO @log_variables: train precision: 0.996341 2019-11-12 22:33:17.782: INFO @log_variables: train recall: 0.996308 2019-11-12 22:33:17.782: INFO @log_variables: train f1: 0.996325 2019-11-12 22:33:17.782: INFO @log_variables: train accuracy mean: 0.996447 2019-11-12 22:33:17.783: INFO @log_variables: train loss mean: 0.010670 2019-11-12 22:33:17.783: INFO @log_variables: valid precision: 0.905974 2019-11-12 22:33:17.783: INFO @log_variables: valid recall: 0.901202 2019-11-12 22:33:17.783: INFO @log_variables: valid f1: 0.903371 2019-11-12 22:33:17.783: INFO @log_variables: valid accuracy mean: 0.906980 2019-11-12 22:33:17.783: INFO @log_variables: valid loss mean: 0.721127 2019-11-12 22:33:17.783: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:33:18.518: INFO @log_profile : T train: 24.103624 2019-11-12 22:33:18.518: INFO @log_profile : T valid: 2.527233 2019-11-12 22:33:18.518: INFO @log_profile : T read data: 324.545553 2019-11-12 22:33:18.518: INFO @log_profile : T hooks: 1.803892 2019-11-12 22:33:18.518: INFO @main_loop : Epoch 81 done 2019-11-12 22:33:18.518: INFO @main_loop : Training epoch 82 2019-11-12 22:39:12.149: INFO @log_variables: train precision: 0.995747 2019-11-12 22:39:12.150: INFO @log_variables: train recall: 0.995752 2019-11-12 22:39:12.150: INFO @log_variables: train f1: 0.995749 2019-11-12 22:39:12.150: INFO @log_variables: train accuracy mean: 0.995890 2019-11-12 22:39:12.150: INFO @log_variables: train loss mean: 0.011367 2019-11-12 22:39:12.150: INFO @log_variables: valid precision: 0.903646 2019-11-12 22:39:12.150: INFO @log_variables: valid recall: 0.906753 2019-11-12 22:39:12.150: INFO @log_variables: valid f1: 0.905078 2019-11-12 22:39:12.150: INFO @log_variables: valid accuracy mean: 0.907739 2019-11-12 22:39:12.150: INFO @log_variables: valid loss mean: 0.630581 2019-11-12 22:39:12.150: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:39:13.106: INFO @log_profile : T train: 24.186710 2019-11-12 22:39:13.106: INFO @log_profile : T valid: 2.491236 2019-11-12 22:39:13.106: INFO @log_profile : T read data: 325.694137 2019-11-12 22:39:13.106: INFO @log_profile : T hooks: 2.029939 2019-11-12 22:39:13.106: INFO @main_loop : Epoch 82 done 2019-11-12 22:39:13.106: INFO @main_loop : Training epoch 83 2019-11-12 22:45:03.701: INFO @log_variables: train precision: 0.996497 2019-11-12 22:45:03.701: INFO @log_variables: train recall: 0.996545 2019-11-12 22:45:03.701: INFO @log_variables: train f1: 0.996521 2019-11-12 22:45:03.701: INFO @log_variables: train accuracy mean: 0.996636 2019-11-12 22:45:03.702: INFO @log_variables: train loss mean: 0.010347 2019-11-12 22:45:03.702: INFO @log_variables: valid precision: 0.904032 2019-11-12 22:45:03.702: INFO @log_variables: valid recall: 0.907611 2019-11-12 22:45:03.702: INFO @log_variables: valid f1: 0.905657 2019-11-12 22:45:03.702: INFO @log_variables: valid accuracy mean: 0.908245 2019-11-12 22:45:03.702: INFO @log_variables: valid loss mean: 0.603274 2019-11-12 22:45:03.702: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:45:04.434: INFO @log_profile : T train: 24.342605 2019-11-12 22:45:04.435: INFO @log_profile : T valid: 2.372384 2019-11-12 22:45:04.435: INFO @log_profile : T read data: 322.599936 2019-11-12 22:45:04.435: INFO @log_profile : T hooks: 1.826517 2019-11-12 22:45:04.435: INFO @main_loop : Epoch 83 done 2019-11-12 22:45:04.435: INFO @main_loop : Training epoch 84 2019-11-12 22:50:59.667: INFO @log_variables: train precision: 0.996519 2019-11-12 22:50:59.668: INFO @log_variables: train recall: 0.996576 2019-11-12 22:50:59.668: INFO @log_variables: train f1: 0.996547 2019-11-12 22:50:59.668: INFO @log_variables: train accuracy mean: 0.996662 2019-11-12 22:50:59.668: INFO @log_variables: train loss mean: 0.009374 2019-11-12 22:50:59.668: INFO @log_variables: valid precision: 0.905939 2019-11-12 22:50:59.668: INFO @log_variables: valid recall: 0.896250 2019-11-12 22:50:59.668: INFO @log_variables: valid f1: 0.900300 2019-11-12 22:50:59.668: INFO @log_variables: valid accuracy mean: 0.904552 2019-11-12 22:50:59.668: INFO @log_variables: valid loss mean: 0.749123 2019-11-12 22:50:59.668: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:51:00.411: INFO @log_profile : T train: 24.385438 2019-11-12 22:51:00.411: INFO @log_profile : T valid: 2.520185 2019-11-12 22:51:00.411: INFO @log_profile : T read data: 327.063645 2019-11-12 22:51:00.411: INFO @log_profile : T hooks: 1.817668 2019-11-12 22:51:00.411: INFO @main_loop : Epoch 84 done 2019-11-12 22:51:00.411: INFO @main_loop : Training epoch 85 2019-11-12 22:56:53.916: INFO @log_variables: train precision: 0.996499 2019-11-12 22:56:53.916: INFO @log_variables: train recall: 0.996570 2019-11-12 22:56:53.916: INFO @log_variables: train f1: 0.996534 2019-11-12 22:56:53.916: INFO @log_variables: train accuracy mean: 0.996649 2019-11-12 22:56:53.916: INFO @log_variables: train loss mean: 0.010079 2019-11-12 22:56:53.916: INFO @log_variables: valid precision: 0.906928 2019-11-12 22:56:53.916: INFO @log_variables: valid recall: 0.905923 2019-11-12 22:56:53.916: INFO @log_variables: valid f1: 0.906415 2019-11-12 22:56:53.917: INFO @log_variables: valid accuracy mean: 0.909509 2019-11-12 22:56:53.917: INFO @log_variables: valid loss mean: 0.805936 2019-11-12 22:56:53.917: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 22:56:54.639: INFO @log_profile : T train: 24.588583 2019-11-12 22:56:54.640: INFO @log_profile : T valid: 2.542916 2019-11-12 22:56:54.640: INFO @log_profile : T read data: 325.137317 2019-11-12 22:56:54.640: INFO @log_profile : T hooks: 1.772094 2019-11-12 22:56:54.640: INFO @main_loop : Epoch 85 done 2019-11-12 22:56:54.640: INFO @main_loop : Training epoch 86 2019-11-12 23:02:47.548: INFO @log_variables: train precision: 0.996547 2019-11-12 23:02:47.549: INFO @log_variables: train recall: 0.996547 2019-11-12 23:02:47.549: INFO @log_variables: train f1: 0.996547 2019-11-12 23:02:47.549: INFO @log_variables: train accuracy mean: 0.996662 2019-11-12 23:02:47.549: INFO @log_variables: train loss mean: 0.009792 2019-11-12 23:02:47.549: INFO @log_variables: valid precision: 0.897098 2019-11-12 23:02:47.549: INFO @log_variables: valid recall: 0.903999 2019-11-12 23:02:47.549: INFO @log_variables: valid f1: 0.899800 2019-11-12 23:02:47.549: INFO @log_variables: valid accuracy mean: 0.902074 2019-11-12 23:02:47.549: INFO @log_variables: valid loss mean: 0.660642 2019-11-12 23:02:47.549: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:02:48.271: INFO @log_profile : T train: 23.625661 2019-11-12 23:02:48.271: INFO @log_profile : T valid: 2.535349 2019-11-12 23:02:48.271: INFO @log_profile : T read data: 325.460581 2019-11-12 23:02:48.271: INFO @log_profile : T hooks: 1.824582 2019-11-12 23:02:48.272: INFO @main_loop : Epoch 86 done 2019-11-12 23:02:48.272: INFO @main_loop : Training epoch 87 2019-11-12 23:08:43.324: INFO @log_variables: train precision: 0.995839 2019-11-12 23:08:43.324: INFO @log_variables: train recall: 0.995896 2019-11-12 23:08:43.324: INFO @log_variables: train f1: 0.995867 2019-11-12 23:08:43.324: INFO @log_variables: train accuracy mean: 0.996004 2019-11-12 23:08:43.324: INFO @log_variables: train loss mean: 0.011228 2019-11-12 23:08:43.324: INFO @log_variables: valid precision: 0.907766 2019-11-12 23:08:43.324: INFO @log_variables: valid recall: 0.906505 2019-11-12 23:08:43.324: INFO @log_variables: valid f1: 0.907119 2019-11-12 23:08:43.324: INFO @log_variables: valid accuracy mean: 0.910218 2019-11-12 23:08:43.324: INFO @log_variables: valid loss mean: 0.700804 2019-11-12 23:08:43.324: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:08:44.056: INFO @log_profile : T train: 24.257738 2019-11-12 23:08:44.056: INFO @log_profile : T valid: 2.510235 2019-11-12 23:08:44.056: INFO @log_profile : T read data: 327.017557 2019-11-12 23:08:44.056: INFO @log_profile : T hooks: 1.810236 2019-11-12 23:08:44.056: INFO @main_loop : Epoch 87 done 2019-11-12 23:08:44.056: INFO @main_loop : Training epoch 88 2019-11-12 23:14:39.801: INFO @log_variables: train precision: 0.996764 2019-11-12 23:14:39.801: INFO @log_variables: train recall: 0.996722 2019-11-12 23:14:39.801: INFO @log_variables: train f1: 0.996743 2019-11-12 23:14:39.801: INFO @log_variables: train accuracy mean: 0.996851 2019-11-12 23:14:39.802: INFO @log_variables: train loss mean: 0.008990 2019-11-12 23:14:39.802: INFO @log_variables: valid precision: 0.902091 2019-11-12 23:14:39.802: INFO @log_variables: valid recall: 0.905744 2019-11-12 23:14:39.802: INFO @log_variables: valid f1: 0.903745 2019-11-12 23:14:39.802: INFO @log_variables: valid accuracy mean: 0.906373 2019-11-12 23:14:39.802: INFO @log_variables: valid loss mean: 0.649907 2019-11-12 23:14:39.802: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:14:40.532: INFO @log_profile : T train: 24.309759 2019-11-12 23:14:40.533: INFO @log_profile : T valid: 2.531548 2019-11-12 23:14:40.533: INFO @log_profile : T read data: 327.657070 2019-11-12 23:14:40.533: INFO @log_profile : T hooks: 1.790736 2019-11-12 23:14:40.533: INFO @main_loop : Epoch 88 done 2019-11-12 23:14:40.533: INFO @main_loop : Training epoch 89 2019-11-12 23:20:33.556: INFO @log_variables: train precision: 0.996396 2019-11-12 23:20:33.556: INFO @log_variables: train recall: 0.996410 2019-11-12 23:20:33.556: INFO @log_variables: train f1: 0.996403 2019-11-12 23:20:33.556: INFO @log_variables: train accuracy mean: 0.996522 2019-11-12 23:20:33.556: INFO @log_variables: train loss mean: 0.009474 2019-11-12 23:20:33.556: INFO @log_variables: valid precision: 0.906797 2019-11-12 23:20:33.556: INFO @log_variables: valid recall: 0.898885 2019-11-12 23:20:33.556: INFO @log_variables: valid f1: 0.902290 2019-11-12 23:20:33.556: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-12 23:20:33.556: INFO @log_variables: valid loss mean: 0.716941 2019-11-12 23:20:33.556: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:20:34.295: INFO @log_profile : T train: 24.247450 2019-11-12 23:20:34.295: INFO @log_profile : T valid: 2.506522 2019-11-12 23:20:34.295: INFO @log_profile : T read data: 325.007825 2019-11-12 23:20:34.295: INFO @log_profile : T hooks: 1.811899 2019-11-12 23:20:34.295: INFO @main_loop : Epoch 89 done 2019-11-12 23:20:34.295: INFO @main_loop : Training epoch 90 2019-11-12 23:26:27.910: INFO @log_variables: train precision: 0.996955 2019-11-12 23:26:27.911: INFO @log_variables: train recall: 0.996950 2019-11-12 23:26:27.911: INFO @log_variables: train f1: 0.996953 2019-11-12 23:26:27.911: INFO @log_variables: train accuracy mean: 0.997054 2019-11-12 23:26:27.911: INFO @log_variables: train loss mean: 0.008578 2019-11-12 23:26:27.911: INFO @log_variables: valid precision: 0.907340 2019-11-12 23:26:27.911: INFO @log_variables: valid recall: 0.906223 2019-11-12 23:26:27.911: INFO @log_variables: valid f1: 0.906769 2019-11-12 23:26:27.911: INFO @log_variables: valid accuracy mean: 0.909863 2019-11-12 23:26:27.911: INFO @log_variables: valid loss mean: 0.879879 2019-11-12 23:26:27.911: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:26:28.661: INFO @log_profile : T train: 24.301829 2019-11-12 23:26:28.661: INFO @log_profile : T valid: 2.390472 2019-11-12 23:26:28.661: INFO @log_profile : T read data: 325.662550 2019-11-12 23:26:28.661: INFO @log_profile : T hooks: 1.822265 2019-11-12 23:26:28.661: INFO @main_loop : Epoch 90 done 2019-11-12 23:26:28.661: INFO @main_loop : Training epoch 91 2019-11-12 23:32:24.206: INFO @log_variables: train precision: 0.996045 2019-11-12 23:32:24.206: INFO @log_variables: train recall: 0.996135 2019-11-12 23:32:24.206: INFO @log_variables: train f1: 0.996090 2019-11-12 23:32:24.207: INFO @log_variables: train accuracy mean: 0.996219 2019-11-12 23:32:24.207: INFO @log_variables: train loss mean: 0.010950 2019-11-12 23:32:24.207: INFO @log_variables: valid precision: 0.906364 2019-11-12 23:32:24.207: INFO @log_variables: valid recall: 0.899926 2019-11-12 23:32:24.207: INFO @log_variables: valid f1: 0.902767 2019-11-12 23:32:24.207: INFO @log_variables: valid accuracy mean: 0.906576 2019-11-12 23:32:24.207: INFO @log_variables: valid loss mean: 0.709915 2019-11-12 23:32:24.207: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:32:25.177: INFO @log_profile : T train: 24.350233 2019-11-12 23:32:25.177: INFO @log_profile : T valid: 2.564372 2019-11-12 23:32:25.177: INFO @log_profile : T read data: 327.334547 2019-11-12 23:32:25.177: INFO @log_profile : T hooks: 2.075098 2019-11-12 23:32:25.177: INFO @main_loop : Epoch 91 done 2019-11-12 23:32:25.177: INFO @main_loop : Training epoch 92 2019-11-12 23:38:21.688: INFO @log_variables: train precision: 0.996705 2019-11-12 23:38:21.688: INFO @log_variables: train recall: 0.996729 2019-11-12 23:38:21.688: INFO @log_variables: train f1: 0.996717 2019-11-12 23:38:21.688: INFO @log_variables: train accuracy mean: 0.996826 2019-11-12 23:38:21.688: INFO @log_variables: train loss mean: 0.008721 2019-11-12 23:38:21.688: INFO @log_variables: valid precision: 0.902623 2019-11-12 23:38:21.688: INFO @log_variables: valid recall: 0.906229 2019-11-12 23:38:21.688: INFO @log_variables: valid f1: 0.904258 2019-11-12 23:38:21.688: INFO @log_variables: valid accuracy mean: 0.906879 2019-11-12 23:38:21.688: INFO @log_variables: valid loss mean: 0.672300 2019-11-12 23:38:21.688: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:38:22.419: INFO @log_profile : T train: 24.384303 2019-11-12 23:38:22.419: INFO @log_profile : T valid: 2.373280 2019-11-12 23:38:22.419: INFO @log_profile : T read data: 328.497667 2019-11-12 23:38:22.419: INFO @log_profile : T hooks: 1.802663 2019-11-12 23:38:22.419: INFO @main_loop : Epoch 92 done 2019-11-12 23:38:22.419: INFO @main_loop : Training epoch 93 2019-11-12 23:44:21.334: INFO @log_variables: train precision: 0.996673 2019-11-12 23:44:21.334: INFO @log_variables: train recall: 0.996683 2019-11-12 23:44:21.334: INFO @log_variables: train f1: 0.996678 2019-11-12 23:44:21.334: INFO @log_variables: train accuracy mean: 0.996788 2019-11-12 23:44:21.334: INFO @log_variables: train loss mean: 0.008838 2019-11-12 23:44:21.334: INFO @log_variables: valid precision: 0.906172 2019-11-12 23:44:21.334: INFO @log_variables: valid recall: 0.903137 2019-11-12 23:44:21.334: INFO @log_variables: valid f1: 0.904562 2019-11-12 23:44:21.334: INFO @log_variables: valid accuracy mean: 0.907941 2019-11-12 23:44:21.334: INFO @log_variables: valid loss mean: 0.728139 2019-11-12 23:44:21.334: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:44:22.078: INFO @log_profile : T train: 23.652228 2019-11-12 23:44:22.078: INFO @log_profile : T valid: 2.354527 2019-11-12 23:44:22.078: INFO @log_profile : T read data: 331.648323 2019-11-12 23:44:22.078: INFO @log_profile : T hooks: 1.819617 2019-11-12 23:44:22.078: INFO @main_loop : Epoch 93 done 2019-11-12 23:44:22.078: INFO @main_loop : Training epoch 94 2019-11-12 23:50:20.405: INFO @log_variables: train precision: 0.996479 2019-11-12 23:50:20.405: INFO @log_variables: train recall: 0.996484 2019-11-12 23:50:20.405: INFO @log_variables: train f1: 0.996482 2019-11-12 23:50:20.405: INFO @log_variables: train accuracy mean: 0.996598 2019-11-12 23:50:20.405: INFO @log_variables: train loss mean: 0.009855 2019-11-12 23:50:20.405: INFO @log_variables: valid precision: 0.905953 2019-11-12 23:50:20.405: INFO @log_variables: valid recall: 0.899706 2019-11-12 23:50:20.405: INFO @log_variables: valid f1: 0.902471 2019-11-12 23:50:20.405: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-12 23:50:20.405: INFO @log_variables: valid loss mean: 0.797678 2019-11-12 23:50:20.405: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:50:21.143: INFO @log_profile : T train: 24.419238 2019-11-12 23:50:21.143: INFO @log_profile : T valid: 2.374608 2019-11-12 23:50:21.143: INFO @log_profile : T read data: 330.281209 2019-11-12 23:50:21.143: INFO @log_profile : T hooks: 1.802938 2019-11-12 23:50:21.143: INFO @main_loop : Epoch 94 done 2019-11-12 23:50:21.143: INFO @main_loop : Training epoch 95 2019-11-12 23:56:16.485: INFO @log_variables: train precision: 0.997184 2019-11-12 23:56:16.485: INFO @log_variables: train recall: 0.997245 2019-11-12 23:56:16.485: INFO @log_variables: train f1: 0.997214 2019-11-12 23:56:16.485: INFO @log_variables: train accuracy mean: 0.997306 2019-11-12 23:56:16.485: INFO @log_variables: train loss mean: 0.007570 2019-11-12 23:56:16.485: INFO @log_variables: valid precision: 0.907786 2019-11-12 23:56:16.485: INFO @log_variables: valid recall: 0.906858 2019-11-12 23:56:16.485: INFO @log_variables: valid f1: 0.907313 2019-11-12 23:56:16.485: INFO @log_variables: valid accuracy mean: 0.910369 2019-11-12 23:56:16.485: INFO @log_variables: valid loss mean: 0.794147 2019-11-12 23:56:16.485: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-12 23:56:17.206: INFO @log_profile : T train: 23.698701 2019-11-12 23:56:17.206: INFO @log_profile : T valid: 2.523220 2019-11-12 23:56:17.207: INFO @log_profile : T read data: 327.810272 2019-11-12 23:56:17.207: INFO @log_profile : T hooks: 1.843886 2019-11-12 23:56:17.207: INFO @main_loop : Epoch 95 done 2019-11-12 23:56:17.207: INFO @main_loop : Training epoch 96 2019-11-13 00:02:13.197: INFO @log_variables: train precision: 0.996813 2019-11-13 00:02:13.209: INFO @log_variables: train recall: 0.996804 2019-11-13 00:02:13.209: INFO @log_variables: train f1: 0.996809 2019-11-13 00:02:13.209: INFO @log_variables: train accuracy mean: 0.996914 2019-11-13 00:02:13.209: INFO @log_variables: train loss mean: 0.009247 2019-11-13 00:02:13.209: INFO @log_variables: valid precision: 0.904772 2019-11-13 00:02:13.209: INFO @log_variables: valid recall: 0.904997 2019-11-13 00:02:13.209: INFO @log_variables: valid f1: 0.904884 2019-11-13 00:02:13.209: INFO @log_variables: valid accuracy mean: 0.907891 2019-11-13 00:02:13.210: INFO @log_variables: valid loss mean: 0.779242 2019-11-13 00:02:13.210: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:02:13.945: INFO @log_profile : T train: 23.631656 2019-11-13 00:02:13.945: INFO @log_profile : T valid: 2.392247 2019-11-13 00:02:13.945: INFO @log_profile : T read data: 328.689866 2019-11-13 00:02:13.945: INFO @log_profile : T hooks: 1.836785 2019-11-13 00:02:13.945: INFO @main_loop : Epoch 96 done 2019-11-13 00:02:13.945: INFO @main_loop : Training epoch 97 2019-11-13 00:08:15.756: INFO @log_variables: train precision: 0.996557 2019-11-13 00:08:15.760: INFO @log_variables: train recall: 0.996642 2019-11-13 00:08:15.760: INFO @log_variables: train f1: 0.996600 2019-11-13 00:08:15.760: INFO @log_variables: train accuracy mean: 0.996712 2019-11-13 00:08:15.760: INFO @log_variables: train loss mean: 0.009384 2019-11-13 00:08:15.760: INFO @log_variables: valid precision: 0.909041 2019-11-13 00:08:15.760: INFO @log_variables: valid recall: 0.901277 2019-11-13 00:08:15.760: INFO @log_variables: valid f1: 0.904631 2019-11-13 00:08:15.760: INFO @log_variables: valid accuracy mean: 0.908498 2019-11-13 00:08:15.760: INFO @log_variables: valid loss mean: 0.800253 2019-11-13 00:08:15.760: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:08:16.506: INFO @log_profile : T train: 24.350813 2019-11-13 00:08:16.506: INFO @log_profile : T valid: 2.389215 2019-11-13 00:08:16.506: INFO @log_profile : T read data: 333.777971 2019-11-13 00:08:16.506: INFO @log_profile : T hooks: 1.857946 2019-11-13 00:08:16.506: INFO @main_loop : Epoch 97 done 2019-11-13 00:08:16.506: INFO @main_loop : Training epoch 98 2019-11-13 00:14:11.190: INFO @log_variables: train precision: 0.996929 2019-11-13 00:14:11.190: INFO @log_variables: train recall: 0.996924 2019-11-13 00:14:11.190: INFO @log_variables: train f1: 0.996926 2019-11-13 00:14:11.191: INFO @log_variables: train accuracy mean: 0.997028 2019-11-13 00:14:11.191: INFO @log_variables: train loss mean: 0.008841 2019-11-13 00:14:11.191: INFO @log_variables: valid precision: 0.902190 2019-11-13 00:14:11.191: INFO @log_variables: valid recall: 0.904441 2019-11-13 00:14:11.191: INFO @log_variables: valid f1: 0.903254 2019-11-13 00:14:11.191: INFO @log_variables: valid accuracy mean: 0.906070 2019-11-13 00:14:11.191: INFO @log_variables: valid loss mean: 0.813620 2019-11-13 00:14:11.191: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:14:11.918: INFO @log_profile : T train: 23.642473 2019-11-13 00:14:11.918: INFO @log_profile : T valid: 2.477259 2019-11-13 00:14:11.918: INFO @log_profile : T read data: 327.211097 2019-11-13 00:14:11.918: INFO @log_profile : T hooks: 1.853192 2019-11-13 00:14:11.918: INFO @main_loop : Epoch 98 done 2019-11-13 00:14:11.918: INFO @main_loop : Training epoch 99 2019-11-13 00:20:12.335: INFO @log_variables: train precision: 0.996542 2019-11-13 00:20:12.336: INFO @log_variables: train recall: 0.996552 2019-11-13 00:20:12.336: INFO @log_variables: train f1: 0.996547 2019-11-13 00:20:12.336: INFO @log_variables: train accuracy mean: 0.996662 2019-11-13 00:20:12.336: INFO @log_variables: train loss mean: 0.009557 2019-11-13 00:20:12.336: INFO @log_variables: valid precision: 0.904075 2019-11-13 00:20:12.336: INFO @log_variables: valid recall: 0.904210 2019-11-13 00:20:12.336: INFO @log_variables: valid f1: 0.904142 2019-11-13 00:20:12.336: INFO @log_variables: valid accuracy mean: 0.907183 2019-11-13 00:20:12.336: INFO @log_variables: valid loss mean: 0.684879 2019-11-13 00:20:12.336: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:20:13.323: INFO @log_profile : T train: 24.399545 2019-11-13 00:20:13.324: INFO @log_profile : T valid: 2.541350 2019-11-13 00:20:13.324: INFO @log_profile : T read data: 332.179473 2019-11-13 00:20:13.324: INFO @log_profile : T hooks: 2.096444 2019-11-13 00:20:13.324: INFO @main_loop : Epoch 99 done 2019-11-13 00:20:13.324: INFO @main_loop : Training epoch 100 2019-11-13 00:26:15.133: INFO @log_variables: train precision: 0.996887 2019-11-13 00:26:15.134: INFO @log_variables: train recall: 0.996887 2019-11-13 00:26:15.134: INFO @log_variables: train f1: 0.996887 2019-11-13 00:26:15.134: INFO @log_variables: train accuracy mean: 0.996990 2019-11-13 00:26:15.134: INFO @log_variables: train loss mean: 0.008911 2019-11-13 00:26:15.134: INFO @log_variables: valid precision: 0.899671 2019-11-13 00:26:15.134: INFO @log_variables: valid recall: 0.906555 2019-11-13 00:26:15.134: INFO @log_variables: valid f1: 0.902379 2019-11-13 00:26:15.134: INFO @log_variables: valid accuracy mean: 0.904603 2019-11-13 00:26:15.134: INFO @log_variables: valid loss mean: 0.766573 2019-11-13 00:26:15.134: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:26:15.847: INFO @log_profile : T train: 23.664369 2019-11-13 00:26:15.847: INFO @log_profile : T valid: 2.559802 2019-11-13 00:26:15.847: INFO @log_profile : T read data: 334.273866 2019-11-13 00:26:15.847: INFO @log_profile : T hooks: 1.840479 2019-11-13 00:26:15.848: INFO @main_loop : Epoch 100 done 2019-11-13 00:26:15.848: INFO @main_loop : Training epoch 101 2019-11-13 00:32:19.369: INFO @log_variables: train precision: 0.997347 2019-11-13 00:32:19.370: INFO @log_variables: train recall: 0.997343 2019-11-13 00:32:19.370: INFO @log_variables: train f1: 0.997345 2019-11-13 00:32:19.370: INFO @log_variables: train accuracy mean: 0.997433 2019-11-13 00:32:19.370: INFO @log_variables: train loss mean: 0.007405 2019-11-13 00:32:19.370: INFO @log_variables: valid precision: 0.900857 2019-11-13 00:32:19.370: INFO @log_variables: valid recall: 0.908425 2019-11-13 00:32:19.370: INFO @log_variables: valid f1: 0.903719 2019-11-13 00:32:19.370: INFO @log_variables: valid accuracy mean: 0.905817 2019-11-13 00:32:19.370: INFO @log_variables: valid loss mean: 0.747320 2019-11-13 00:32:19.370: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:32:20.116: INFO @log_profile : T train: 24.331240 2019-11-13 00:32:20.116: INFO @log_profile : T valid: 2.522358 2019-11-13 00:32:20.116: INFO @log_profile : T read data: 335.424655 2019-11-13 00:32:20.116: INFO @log_profile : T hooks: 1.802630 2019-11-13 00:32:20.116: INFO @main_loop : Epoch 101 done 2019-11-13 00:32:20.116: INFO @main_loop : Training epoch 102 2019-11-13 00:38:22.578: INFO @log_variables: train precision: 0.997561 2019-11-13 00:38:22.581: INFO @log_variables: train recall: 0.997547 2019-11-13 00:38:22.581: INFO @log_variables: train f1: 0.997554 2019-11-13 00:38:22.581: INFO @log_variables: train accuracy mean: 0.997635 2019-11-13 00:38:22.581: INFO @log_variables: train loss mean: 0.006958 2019-11-13 00:38:22.581: INFO @log_variables: valid precision: 0.904315 2019-11-13 00:38:22.581: INFO @log_variables: valid recall: 0.908192 2019-11-13 00:38:22.581: INFO @log_variables: valid f1: 0.906059 2019-11-13 00:38:22.581: INFO @log_variables: valid accuracy mean: 0.908599 2019-11-13 00:38:22.581: INFO @log_variables: valid loss mean: 0.804138 2019-11-13 00:38:22.581: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:38:23.337: INFO @log_profile : T train: 24.397795 2019-11-13 00:38:23.337: INFO @log_profile : T valid: 2.388262 2019-11-13 00:38:23.337: INFO @log_profile : T read data: 334.382305 2019-11-13 00:38:23.338: INFO @log_profile : T hooks: 1.868912 2019-11-13 00:38:23.338: INFO @main_loop : Epoch 102 done 2019-11-13 00:38:23.338: INFO @main_loop : Training epoch 103 2019-11-13 00:44:24.364: INFO @log_variables: train precision: 0.996457 2019-11-13 00:44:24.365: INFO @log_variables: train recall: 0.996533 2019-11-13 00:44:24.365: INFO @log_variables: train f1: 0.996495 2019-11-13 00:44:24.365: INFO @log_variables: train accuracy mean: 0.996611 2019-11-13 00:44:24.365: INFO @log_variables: train loss mean: 0.009723 2019-11-13 00:44:24.365: INFO @log_variables: valid precision: 0.907201 2019-11-13 00:44:24.365: INFO @log_variables: valid recall: 0.907772 2019-11-13 00:44:24.365: INFO @log_variables: valid f1: 0.907483 2019-11-13 00:44:24.366: INFO @log_variables: valid accuracy mean: 0.910369 2019-11-13 00:44:24.366: INFO @log_variables: valid loss mean: 0.719524 2019-11-13 00:44:24.366: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:44:25.094: INFO @log_profile : T train: 24.168351 2019-11-13 00:44:25.094: INFO @log_profile : T valid: 2.533366 2019-11-13 00:44:25.094: INFO @log_profile : T read data: 333.011728 2019-11-13 00:44:25.094: INFO @log_profile : T hooks: 1.857598 2019-11-13 00:44:25.094: INFO @main_loop : Epoch 103 done 2019-11-13 00:44:25.094: INFO @main_loop : Training epoch 104 2019-11-13 00:50:24.368: INFO @log_variables: train precision: 0.997098 2019-11-13 00:50:24.369: INFO @log_variables: train recall: 0.997121 2019-11-13 00:50:24.369: INFO @log_variables: train f1: 0.997110 2019-11-13 00:50:24.369: INFO @log_variables: train accuracy mean: 0.997205 2019-11-13 00:50:24.369: INFO @log_variables: train loss mean: 0.007924 2019-11-13 00:50:24.369: INFO @log_variables: valid precision: 0.906202 2019-11-13 00:50:24.369: INFO @log_variables: valid recall: 0.905835 2019-11-13 00:50:24.369: INFO @log_variables: valid f1: 0.906017 2019-11-13 00:50:24.369: INFO @log_variables: valid accuracy mean: 0.909054 2019-11-13 00:50:24.369: INFO @log_variables: valid loss mean: 0.723837 2019-11-13 00:50:24.369: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:50:25.105: INFO @log_profile : T train: 24.215265 2019-11-13 00:50:25.105: INFO @log_profile : T valid: 2.395017 2019-11-13 00:50:25.105: INFO @log_profile : T read data: 331.395519 2019-11-13 00:50:25.105: INFO @log_profile : T hooks: 1.816273 2019-11-13 00:50:25.105: INFO @main_loop : Epoch 104 done 2019-11-13 00:50:25.105: INFO @main_loop : Training epoch 105 2019-11-13 00:56:27.018: INFO @log_variables: train precision: 0.996917 2019-11-13 00:56:27.019: INFO @log_variables: train recall: 0.996988 2019-11-13 00:56:27.019: INFO @log_variables: train f1: 0.996953 2019-11-13 00:56:27.019: INFO @log_variables: train accuracy mean: 0.997054 2019-11-13 00:56:27.019: INFO @log_variables: train loss mean: 0.008220 2019-11-13 00:56:27.019: INFO @log_variables: valid precision: 0.903029 2019-11-13 00:56:27.019: INFO @log_variables: valid recall: 0.891309 2019-11-13 00:56:27.019: INFO @log_variables: valid f1: 0.896045 2019-11-13 00:56:27.019: INFO @log_variables: valid accuracy mean: 0.900708 2019-11-13 00:56:27.019: INFO @log_variables: valid loss mean: 0.744874 2019-11-13 00:56:27.019: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 00:56:27.757: INFO @log_profile : T train: 23.691157 2019-11-13 00:56:27.757: INFO @log_profile : T valid: 2.400271 2019-11-13 00:56:27.757: INFO @log_profile : T read data: 334.522689 2019-11-13 00:56:27.757: INFO @log_profile : T hooks: 1.837652 2019-11-13 00:56:27.757: INFO @main_loop : Epoch 105 done 2019-11-13 00:56:27.757: INFO @main_loop : Training epoch 106 2019-11-13 01:02:26.215: INFO @log_variables: train precision: 0.996664 2019-11-13 01:02:26.218: INFO @log_variables: train recall: 0.996692 2019-11-13 01:02:26.218: INFO @log_variables: train f1: 0.996678 2019-11-13 01:02:26.218: INFO @log_variables: train accuracy mean: 0.996788 2019-11-13 01:02:26.218: INFO @log_variables: train loss mean: 0.008668 2019-11-13 01:02:26.218: INFO @log_variables: valid precision: 0.907826 2019-11-13 01:02:26.218: INFO @log_variables: valid recall: 0.907582 2019-11-13 01:02:26.218: INFO @log_variables: valid f1: 0.907703 2019-11-13 01:02:26.218: INFO @log_variables: valid accuracy mean: 0.910673 2019-11-13 01:02:26.218: INFO @log_variables: valid loss mean: 0.738157 2019-11-13 01:02:26.218: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:02:26.943: INFO @log_profile : T train: 23.724846 2019-11-13 01:02:26.943: INFO @log_profile : T valid: 2.522961 2019-11-13 01:02:26.943: INFO @log_profile : T read data: 330.902044 2019-11-13 01:02:26.943: INFO @log_profile : T hooks: 1.844702 2019-11-13 01:02:26.943: INFO @main_loop : Epoch 106 done 2019-11-13 01:02:26.944: INFO @main_loop : Training epoch 107 2019-11-13 01:08:28.342: INFO @log_variables: train precision: 0.997556 2019-11-13 01:08:28.343: INFO @log_variables: train recall: 0.997632 2019-11-13 01:08:28.343: INFO @log_variables: train f1: 0.997594 2019-11-13 01:08:28.343: INFO @log_variables: train accuracy mean: 0.997673 2019-11-13 01:08:28.343: INFO @log_variables: train loss mean: 0.007043 2019-11-13 01:08:28.343: INFO @log_variables: valid precision: 0.902833 2019-11-13 01:08:28.343: INFO @log_variables: valid recall: 0.907244 2019-11-13 01:08:28.343: INFO @log_variables: valid f1: 0.904778 2019-11-13 01:08:28.343: INFO @log_variables: valid accuracy mean: 0.907284 2019-11-13 01:08:28.343: INFO @log_variables: valid loss mean: 0.759332 2019-11-13 01:08:28.343: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:08:29.074: INFO @log_profile : T train: 24.495655 2019-11-13 01:08:29.074: INFO @log_profile : T valid: 2.361591 2019-11-13 01:08:29.074: INFO @log_profile : T read data: 333.255129 2019-11-13 01:08:29.074: INFO @log_profile : T hooks: 1.832141 2019-11-13 01:08:29.074: INFO @main_loop : Epoch 107 done 2019-11-13 01:08:29.074: INFO @main_loop : Training epoch 108 2019-11-13 01:14:29.668: INFO @log_variables: train precision: 0.997202 2019-11-13 01:14:29.669: INFO @log_variables: train recall: 0.997226 2019-11-13 01:14:29.669: INFO @log_variables: train f1: 0.997214 2019-11-13 01:14:29.669: INFO @log_variables: train accuracy mean: 0.997306 2019-11-13 01:14:29.669: INFO @log_variables: train loss mean: 0.008091 2019-11-13 01:14:29.669: INFO @log_variables: valid precision: 0.903250 2019-11-13 01:14:29.669: INFO @log_variables: valid recall: 0.903919 2019-11-13 01:14:29.669: INFO @log_variables: valid f1: 0.903579 2019-11-13 01:14:29.669: INFO @log_variables: valid accuracy mean: 0.906576 2019-11-13 01:14:29.669: INFO @log_variables: valid loss mean: 0.704657 2019-11-13 01:14:29.669: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:14:30.645: INFO @log_profile : T train: 24.349954 2019-11-13 01:14:30.646: INFO @log_profile : T valid: 2.451186 2019-11-13 01:14:30.646: INFO @log_profile : T read data: 332.514387 2019-11-13 01:14:30.646: INFO @log_profile : T hooks: 2.066649 2019-11-13 01:14:30.646: INFO @main_loop : Epoch 108 done 2019-11-13 01:14:30.646: INFO @main_loop : Training epoch 109 2019-11-13 01:20:30.561: INFO @log_variables: train precision: 0.997275 2019-11-13 01:20:30.563: INFO @log_variables: train recall: 0.997284 2019-11-13 01:20:30.564: INFO @log_variables: train f1: 0.997280 2019-11-13 01:20:30.564: INFO @log_variables: train accuracy mean: 0.997370 2019-11-13 01:20:30.564: INFO @log_variables: train loss mean: 0.008353 2019-11-13 01:20:30.564: INFO @log_variables: valid precision: 0.900370 2019-11-13 01:20:30.564: INFO @log_variables: valid recall: 0.906566 2019-11-13 01:20:30.564: INFO @log_variables: valid f1: 0.902899 2019-11-13 01:20:30.564: INFO @log_variables: valid accuracy mean: 0.905210 2019-11-13 01:20:30.564: INFO @log_variables: valid loss mean: 0.718242 2019-11-13 01:20:30.564: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:20:31.301: INFO @log_profile : T train: 24.328694 2019-11-13 01:20:31.301: INFO @log_profile : T valid: 2.518363 2019-11-13 01:20:31.302: INFO @log_profile : T read data: 331.779321 2019-11-13 01:20:31.302: INFO @log_profile : T hooks: 1.845102 2019-11-13 01:20:31.302: INFO @main_loop : Epoch 109 done 2019-11-13 01:20:31.302: INFO @main_loop : Training epoch 110 2019-11-13 01:26:34.401: INFO @log_variables: train precision: 0.997271 2019-11-13 01:26:34.402: INFO @log_variables: train recall: 0.997314 2019-11-13 01:26:34.402: INFO @log_variables: train f1: 0.997293 2019-11-13 01:26:34.402: INFO @log_variables: train accuracy mean: 0.997382 2019-11-13 01:26:34.402: INFO @log_variables: train loss mean: 0.007975 2019-11-13 01:26:34.402: INFO @log_variables: valid precision: 0.907110 2019-11-13 01:26:34.402: INFO @log_variables: valid recall: 0.903509 2019-11-13 01:26:34.402: INFO @log_variables: valid f1: 0.905182 2019-11-13 01:26:34.403: INFO @log_variables: valid accuracy mean: 0.908599 2019-11-13 01:26:34.403: INFO @log_variables: valid loss mean: 0.738464 2019-11-13 01:26:34.403: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:26:35.257: INFO @log_profile : T train: 24.072550 2019-11-13 01:26:35.258: INFO @log_profile : T valid: 2.394192 2019-11-13 01:26:35.258: INFO @log_profile : T read data: 335.345745 2019-11-13 01:26:35.258: INFO @log_profile : T hooks: 1.953740 2019-11-13 01:26:35.258: INFO @main_loop : Epoch 110 done 2019-11-13 01:26:35.258: INFO @main_loop : Training epoch 111 2019-11-13 01:32:35.108: INFO @log_variables: train precision: 0.997274 2019-11-13 01:32:35.109: INFO @log_variables: train recall: 0.997259 2019-11-13 01:32:35.109: INFO @log_variables: train f1: 0.997266 2019-11-13 01:32:35.109: INFO @log_variables: train accuracy mean: 0.997357 2019-11-13 01:32:35.109: INFO @log_variables: train loss mean: 0.007584 2019-11-13 01:32:35.109: INFO @log_variables: valid precision: 0.899167 2019-11-13 01:32:35.109: INFO @log_variables: valid recall: 0.905126 2019-11-13 01:32:35.109: INFO @log_variables: valid f1: 0.901624 2019-11-13 01:32:35.109: INFO @log_variables: valid accuracy mean: 0.903996 2019-11-13 01:32:35.109: INFO @log_variables: valid loss mean: 0.808181 2019-11-13 01:32:35.109: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:32:35.858: INFO @log_profile : T train: 24.096509 2019-11-13 01:32:35.858: INFO @log_profile : T valid: 2.404814 2019-11-13 01:32:35.858: INFO @log_profile : T read data: 332.079025 2019-11-13 01:32:35.858: INFO @log_profile : T hooks: 1.826766 2019-11-13 01:32:35.858: INFO @main_loop : Epoch 111 done 2019-11-13 01:32:35.858: INFO @main_loop : Training epoch 112 2019-11-13 01:38:37.174: INFO @log_variables: train precision: 0.996838 2019-11-13 01:38:37.175: INFO @log_variables: train recall: 0.996885 2019-11-13 01:38:37.175: INFO @log_variables: train f1: 0.996861 2019-11-13 01:38:37.175: INFO @log_variables: train accuracy mean: 0.996965 2019-11-13 01:38:37.175: INFO @log_variables: train loss mean: 0.008416 2019-11-13 01:38:37.175: INFO @log_variables: valid precision: 0.906098 2019-11-13 01:38:37.175: INFO @log_variables: valid recall: 0.898314 2019-11-13 01:38:37.176: INFO @log_variables: valid f1: 0.901670 2019-11-13 01:38:37.176: INFO @log_variables: valid accuracy mean: 0.905665 2019-11-13 01:38:37.176: INFO @log_variables: valid loss mean: 0.788302 2019-11-13 01:38:37.176: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:38:37.922: INFO @log_profile : T train: 24.381593 2019-11-13 01:38:37.922: INFO @log_profile : T valid: 2.383426 2019-11-13 01:38:37.922: INFO @log_profile : T read data: 333.289650 2019-11-13 01:38:37.922: INFO @log_profile : T hooks: 1.819086 2019-11-13 01:38:37.922: INFO @main_loop : Epoch 112 done 2019-11-13 01:38:37.923: INFO @main_loop : Training epoch 113 2019-11-13 01:44:36.522: INFO @log_variables: train precision: 0.997875 2019-11-13 01:44:36.523: INFO @log_variables: train recall: 0.997861 2019-11-13 01:44:36.523: INFO @log_variables: train f1: 0.997868 2019-11-13 01:44:36.524: INFO @log_variables: train accuracy mean: 0.997939 2019-11-13 01:44:36.524: INFO @log_variables: train loss mean: 0.006315 2019-11-13 01:44:36.524: INFO @log_variables: valid precision: 0.908040 2019-11-13 01:44:36.524: INFO @log_variables: valid recall: 0.899465 2019-11-13 01:44:36.524: INFO @log_variables: valid f1: 0.903118 2019-11-13 01:44:36.524: INFO @log_variables: valid accuracy mean: 0.907132 2019-11-13 01:44:36.524: INFO @log_variables: valid loss mean: 0.770745 2019-11-13 01:44:36.524: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:44:37.678: INFO @log_profile : T train: 23.673296 2019-11-13 01:44:37.679: INFO @log_profile : T valid: 2.367673 2019-11-13 01:44:37.679: INFO @log_profile : T read data: 331.288638 2019-11-13 01:44:37.679: INFO @log_profile : T hooks: 2.236785 2019-11-13 01:44:37.679: INFO @main_loop : Epoch 113 done 2019-11-13 01:44:37.679: INFO @main_loop : Training epoch 114 2019-11-13 01:50:36.200: INFO @log_variables: train precision: 0.996601 2019-11-13 01:50:36.203: INFO @log_variables: train recall: 0.996624 2019-11-13 01:50:36.203: INFO @log_variables: train f1: 0.996613 2019-11-13 01:50:36.203: INFO @log_variables: train accuracy mean: 0.996725 2019-11-13 01:50:36.203: INFO @log_variables: train loss mean: 0.009428 2019-11-13 01:50:36.203: INFO @log_variables: valid precision: 0.898803 2019-11-13 01:50:36.203: INFO @log_variables: valid recall: 0.906428 2019-11-13 01:50:36.203: INFO @log_variables: valid f1: 0.901666 2019-11-13 01:50:36.203: INFO @log_variables: valid accuracy mean: 0.903794 2019-11-13 01:50:36.203: INFO @log_variables: valid loss mean: 0.729362 2019-11-13 01:50:36.203: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:50:36.934: INFO @log_profile : T train: 23.722488 2019-11-13 01:50:36.934: INFO @log_profile : T valid: 2.505964 2019-11-13 01:50:36.934: INFO @log_profile : T read data: 331.025006 2019-11-13 01:50:36.934: INFO @log_profile : T hooks: 1.811739 2019-11-13 01:50:36.934: INFO @main_loop : Epoch 114 done 2019-11-13 01:50:36.935: INFO @main_loop : Training epoch 115 2019-11-13 01:56:34.874: INFO @log_variables: train precision: 0.997819 2019-11-13 01:56:34.875: INFO @log_variables: train recall: 0.997838 2019-11-13 01:56:34.875: INFO @log_variables: train f1: 0.997829 2019-11-13 01:56:34.875: INFO @log_variables: train accuracy mean: 0.997901 2019-11-13 01:56:34.875: INFO @log_variables: train loss mean: 0.006765 2019-11-13 01:56:34.875: INFO @log_variables: valid precision: 0.905614 2019-11-13 01:56:34.875: INFO @log_variables: valid recall: 0.899627 2019-11-13 01:56:34.875: INFO @log_variables: valid f1: 0.902289 2019-11-13 01:56:34.875: INFO @log_variables: valid accuracy mean: 0.906070 2019-11-13 01:56:34.875: INFO @log_variables: valid loss mean: 0.715293 2019-11-13 01:56:34.875: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 01:56:35.601: INFO @log_profile : T train: 24.396524 2019-11-13 01:56:35.601: INFO @log_profile : T valid: 2.569689 2019-11-13 01:56:35.601: INFO @log_profile : T read data: 329.740076 2019-11-13 01:56:35.601: INFO @log_profile : T hooks: 1.767554 2019-11-13 01:56:35.601: INFO @main_loop : Epoch 115 done 2019-11-13 01:56:35.601: INFO @main_loop : Training epoch 116 2019-11-13 02:02:32.286: INFO @log_variables: train precision: 0.997532 2019-11-13 02:02:32.287: INFO @log_variables: train recall: 0.997551 2019-11-13 02:02:32.287: INFO @log_variables: train f1: 0.997541 2019-11-13 02:02:32.287: INFO @log_variables: train accuracy mean: 0.997623 2019-11-13 02:02:32.287: INFO @log_variables: train loss mean: 0.007035 2019-11-13 02:02:32.287: INFO @log_variables: valid precision: 0.902100 2019-11-13 02:02:32.287: INFO @log_variables: valid recall: 0.905917 2019-11-13 02:02:32.287: INFO @log_variables: valid f1: 0.903818 2019-11-13 02:02:32.287: INFO @log_variables: valid accuracy mean: 0.906424 2019-11-13 02:02:32.287: INFO @log_variables: valid loss mean: 0.780885 2019-11-13 02:02:32.287: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:02:33.360: INFO @log_profile : T train: 23.635792 2019-11-13 02:02:33.360: INFO @log_profile : T valid: 2.449973 2019-11-13 02:02:33.360: INFO @log_profile : T read data: 329.366026 2019-11-13 02:02:33.361: INFO @log_profile : T hooks: 2.119592 2019-11-13 02:02:33.361: INFO @main_loop : Epoch 116 done 2019-11-13 02:02:33.361: INFO @main_loop : Training epoch 117 2019-11-13 02:08:34.209: INFO @log_variables: train precision: 0.997133 2019-11-13 02:08:34.210: INFO @log_variables: train recall: 0.997138 2019-11-13 02:08:34.210: INFO @log_variables: train f1: 0.997136 2019-11-13 02:08:34.210: INFO @log_variables: train accuracy mean: 0.997231 2019-11-13 02:08:34.210: INFO @log_variables: train loss mean: 0.007755 2019-11-13 02:08:34.210: INFO @log_variables: valid precision: 0.906096 2019-11-13 02:08:34.210: INFO @log_variables: valid recall: 0.908834 2019-11-13 02:08:34.210: INFO @log_variables: valid f1: 0.907373 2019-11-13 02:08:34.210: INFO @log_variables: valid accuracy mean: 0.910015 2019-11-13 02:08:34.210: INFO @log_variables: valid loss mean: 0.806498 2019-11-13 02:08:34.210: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:08:34.952: INFO @log_profile : T train: 24.352640 2019-11-13 02:08:34.952: INFO @log_profile : T valid: 2.528822 2019-11-13 02:08:34.952: INFO @log_profile : T read data: 332.745932 2019-11-13 02:08:34.952: INFO @log_profile : T hooks: 1.772829 2019-11-13 02:08:34.952: INFO @main_loop : Epoch 117 done 2019-11-13 02:08:34.952: INFO @main_loop : Training epoch 118 2019-11-13 02:14:32.162: INFO @log_variables: train precision: 0.997739 2019-11-13 02:14:32.163: INFO @log_variables: train recall: 0.997815 2019-11-13 02:14:32.163: INFO @log_variables: train f1: 0.997777 2019-11-13 02:14:32.163: INFO @log_variables: train accuracy mean: 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02:20:28.745: INFO @log_variables: train recall: 0.997320 2019-11-13 02:20:28.745: INFO @log_variables: train f1: 0.997306 2019-11-13 02:20:28.745: INFO @log_variables: train accuracy mean: 0.997395 2019-11-13 02:20:28.745: INFO @log_variables: train loss mean: 0.007466 2019-11-13 02:20:28.745: INFO @log_variables: valid precision: 0.900987 2019-11-13 02:20:28.745: INFO @log_variables: valid recall: 0.908119 2019-11-13 02:20:28.745: INFO @log_variables: valid f1: 0.903758 2019-11-13 02:20:28.745: INFO @log_variables: valid accuracy mean: 0.905918 2019-11-13 02:20:28.745: INFO @log_variables: valid loss mean: 0.876497 2019-11-13 02:20:28.745: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:20:29.487: INFO @log_profile : T train: 23.620925 2019-11-13 02:20:29.487: INFO @log_profile : T valid: 2.510454 2019-11-13 02:20:29.487: INFO @log_profile : T read data: 328.444635 2019-11-13 02:20:29.487: INFO @log_profile : T hooks: 1.821367 2019-11-13 02:20:29.487: INFO @main_loop : Epoch 119 done 2019-11-13 02:20:29.488: INFO @main_loop : Training epoch 120 2019-11-13 02:26:27.556: INFO @log_variables: train precision: 0.997687 2019-11-13 02:26:27.557: INFO @log_variables: train recall: 0.997683 2019-11-13 02:26:27.557: INFO @log_variables: train f1: 0.997685 2019-11-13 02:26:27.557: INFO @log_variables: train accuracy mean: 0.997762 2019-11-13 02:26:27.557: INFO @log_variables: train loss mean: 0.006830 2019-11-13 02:26:27.557: INFO @log_variables: valid precision: 0.895579 2019-11-13 02:26:27.557: INFO @log_variables: valid recall: 0.905506 2019-11-13 02:26:27.557: INFO @log_variables: valid f1: 0.898564 2019-11-13 02:26:27.558: INFO @log_variables: valid accuracy mean: 0.900354 2019-11-13 02:26:27.558: INFO @log_variables: valid loss mean: 0.859160 2019-11-13 02:26:27.558: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:26:28.310: INFO @log_profile : T train: 24.465092 2019-11-13 02:26:28.310: INFO @log_profile : T valid: 2.522133 2019-11-13 02:26:28.310: INFO @log_profile : T read data: 329.847975 2019-11-13 02:26:28.310: INFO @log_profile : T hooks: 1.794339 2019-11-13 02:26:28.310: INFO @main_loop : Epoch 120 done 2019-11-13 02:26:28.310: INFO @main_loop : Training epoch 121 2019-11-13 02:32:31.806: INFO @log_variables: train precision: 0.997216 2019-11-13 02:32:31.807: INFO @log_variables: train recall: 0.997212 2019-11-13 02:32:31.807: INFO @log_variables: train f1: 0.997214 2019-11-13 02:32:31.808: INFO @log_variables: train accuracy mean: 0.997306 2019-11-13 02:32:31.808: INFO @log_variables: train loss mean: 0.007872 2019-11-13 02:32:31.808: INFO @log_variables: valid precision: 0.905456 2019-11-13 02:32:31.808: INFO @log_variables: valid recall: 0.906231 2019-11-13 02:32:31.808: INFO @log_variables: valid f1: 0.905836 2019-11-13 02:32:31.808: INFO @log_variables: valid accuracy mean: 0.908751 2019-11-13 02:32:31.808: INFO @log_variables: valid loss mean: 0.779755 2019-11-13 02:32:31.808: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:32:32.552: INFO @log_profile : T train: 24.452976 2019-11-13 02:32:32.552: INFO @log_profile : T valid: 2.571443 2019-11-13 02:32:32.552: INFO @log_profile : T read data: 335.216827 2019-11-13 02:32:32.552: INFO @log_profile : T hooks: 1.811720 2019-11-13 02:32:32.552: INFO @main_loop : Epoch 121 done 2019-11-13 02:32:32.552: INFO @main_loop : Training epoch 122 2019-11-13 02:38:30.509: INFO @log_variables: train precision: 0.997870 2019-11-13 02:38:30.513: INFO @log_variables: train recall: 0.997866 2019-11-13 02:38:30.513: INFO @log_variables: train f1: 0.997868 2019-11-13 02:38:30.513: INFO @log_variables: train accuracy mean: 0.997939 2019-11-13 02:38:30.513: INFO @log_variables: train loss mean: 0.006125 2019-11-13 02:38:30.513: INFO @log_variables: valid precision: 0.903418 2019-11-13 02:38:30.513: INFO @log_variables: valid recall: 0.907983 2019-11-13 02:38:30.513: INFO @log_variables: valid f1: 0.905421 2019-11-13 02:38:30.513: INFO @log_variables: valid accuracy mean: 0.907891 2019-11-13 02:38:30.513: INFO @log_variables: valid loss mean: 0.800894 2019-11-13 02:38:30.513: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:38:31.331: INFO @log_profile : T train: 24.343462 2019-11-13 02:38:31.331: INFO @log_profile : T valid: 2.537728 2019-11-13 02:38:31.331: INFO @log_profile : T read data: 329.820764 2019-11-13 02:38:31.331: INFO @log_profile : T hooks: 1.886030 2019-11-13 02:38:31.331: INFO @main_loop : Epoch 122 done 2019-11-13 02:38:31.331: INFO @main_loop : Training epoch 123 2019-11-13 02:44:28.562: INFO @log_variables: train precision: 0.997495 2019-11-13 02:44:28.563: INFO @log_variables: train recall: 0.997509 2019-11-13 02:44:28.563: INFO @log_variables: train f1: 0.997502 2019-11-13 02:44:28.563: INFO @log_variables: train accuracy mean: 0.997585 2019-11-13 02:44:28.563: INFO @log_variables: train loss mean: 0.007215 2019-11-13 02:44:28.563: INFO @log_variables: valid precision: 0.905380 2019-11-13 02:44:28.563: INFO @log_variables: valid recall: 0.890470 2019-11-13 02:44:28.563: INFO @log_variables: valid f1: 0.896229 2019-11-13 02:44:28.563: INFO @log_variables: valid accuracy mean: 0.901214 2019-11-13 02:44:28.563: INFO @log_variables: valid loss mean: 0.831522 2019-11-13 02:44:28.563: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:44:29.300: INFO @log_profile : T train: 24.389238 2019-11-13 02:44:29.301: INFO @log_profile : T valid: 2.398120 2019-11-13 02:44:29.301: INFO @log_profile : T read data: 329.168314 2019-11-13 02:44:29.301: INFO @log_profile : T hooks: 1.819154 2019-11-13 02:44:29.301: INFO @main_loop : Epoch 123 done 2019-11-13 02:44:29.301: INFO @main_loop : Training epoch 124 2019-11-13 02:50:28.856: INFO @log_variables: train precision: 0.997408 2019-11-13 02:50:28.857: INFO @log_variables: train recall: 0.997465 2019-11-13 02:50:28.857: INFO @log_variables: train f1: 0.997437 2019-11-13 02:50:28.858: INFO @log_variables: train accuracy mean: 0.997521 2019-11-13 02:50:28.858: INFO @log_variables: train loss mean: 0.007079 2019-11-13 02:50:28.858: INFO @log_variables: valid precision: 0.901573 2019-11-13 02:50:28.858: INFO @log_variables: valid recall: 0.908025 2019-11-13 02:50:28.858: INFO @log_variables: valid f1: 0.904176 2019-11-13 02:50:28.858: INFO @log_variables: valid accuracy mean: 0.906424 2019-11-13 02:50:28.858: INFO @log_variables: valid loss mean: 0.773914 2019-11-13 02:50:28.858: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:50:29.585: INFO @log_profile : T train: 23.659506 2019-11-13 02:50:29.585: INFO @log_profile : T valid: 2.547566 2019-11-13 02:50:29.585: INFO @log_profile : T read data: 332.094357 2019-11-13 02:50:29.585: INFO @log_profile : T hooks: 1.788056 2019-11-13 02:50:29.585: INFO @main_loop : Epoch 124 done 2019-11-13 02:50:29.585: INFO @main_loop : Training epoch 125 2019-11-13 02:56:30.310: INFO @log_variables: train precision: 0.997587 2019-11-13 02:56:30.311: INFO @log_variables: train recall: 0.997653 2019-11-13 02:56:30.311: INFO @log_variables: train f1: 0.997620 2019-11-13 02:56:30.311: INFO @log_variables: train accuracy mean: 0.997699 2019-11-13 02:56:30.311: INFO @log_variables: train loss mean: 0.006544 2019-11-13 02:56:30.311: INFO @log_variables: valid precision: 0.904742 2019-11-13 02:56:30.311: INFO @log_variables: valid recall: 0.908975 2019-11-13 02:56:30.311: INFO @log_variables: valid f1: 0.906623 2019-11-13 02:56:30.312: INFO @log_variables: valid accuracy mean: 0.909105 2019-11-13 02:56:30.312: INFO @log_variables: valid loss mean: 0.790387 2019-11-13 02:56:30.312: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 02:56:31.446: INFO @log_profile : T train: 24.374697 2019-11-13 02:56:31.446: INFO @log_profile : T valid: 2.527605 2019-11-13 02:56:31.447: INFO @log_profile : T read data: 332.553591 2019-11-13 02:56:31.447: INFO @log_profile : T hooks: 2.210927 2019-11-13 02:56:31.447: INFO @main_loop : Epoch 125 done 2019-11-13 02:56:31.447: INFO @main_loop : Training epoch 126 2019-11-13 03:02:31.869: INFO @log_variables: train precision: 0.997916 2019-11-13 03:02:31.870: INFO @log_variables: train recall: 0.997978 2019-11-13 03:02:31.870: INFO @log_variables: train f1: 0.997947 2019-11-13 03:02:31.870: INFO @log_variables: train accuracy mean: 0.998015 2019-11-13 03:02:31.870: INFO @log_variables: train loss mean: 0.006072 2019-11-13 03:02:31.870: INFO @log_variables: valid precision: 0.906691 2019-11-13 03:02:31.870: INFO @log_variables: valid recall: 0.897872 2019-11-13 03:02:31.870: INFO @log_variables: valid f1: 0.901611 2019-11-13 03:02:31.870: INFO @log_variables: valid accuracy mean: 0.905716 2019-11-13 03:02:31.871: INFO @log_variables: valid loss mean: 0.819713 2019-11-13 03:02:31.871: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:02:32.643: INFO @log_profile : T train: 23.615882 2019-11-13 03:02:32.643: INFO @log_profile : T valid: 2.509099 2019-11-13 03:02:32.643: INFO @log_profile : T read data: 333.035510 2019-11-13 03:02:32.643: INFO @log_profile : T hooks: 1.842831 2019-11-13 03:02:32.643: INFO @main_loop : Epoch 126 done 2019-11-13 03:02:32.643: INFO @main_loop : Training epoch 127 2019-11-13 03:08:31.585: INFO @log_variables: train precision: 0.997420 2019-11-13 03:08:31.588: INFO @log_variables: train recall: 0.997505 2019-11-13 03:08:31.588: INFO @log_variables: train f1: 0.997463 2019-11-13 03:08:31.588: INFO @log_variables: train accuracy mean: 0.997547 2019-11-13 03:08:31.588: INFO @log_variables: train loss mean: 0.007038 2019-11-13 03:08:31.588: INFO @log_variables: valid precision: 0.903782 2019-11-13 03:08:31.589: INFO @log_variables: valid recall: 0.900932 2019-11-13 03:08:31.589: INFO @log_variables: valid f1: 0.902274 2019-11-13 03:08:31.589: INFO @log_variables: valid accuracy mean: 0.905716 2019-11-13 03:08:31.589: INFO @log_variables: valid loss mean: 0.882894 2019-11-13 03:08:31.589: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:08:32.348: INFO @log_profile : T train: 24.295620 2019-11-13 03:08:32.348: INFO @log_profile : T valid: 2.487041 2019-11-13 03:08:32.348: INFO @log_profile : T read data: 330.918286 2019-11-13 03:08:32.348: INFO @log_profile : T hooks: 1.813747 2019-11-13 03:08:32.348: INFO @main_loop : Epoch 127 done 2019-11-13 03:08:32.348: INFO @main_loop : Training epoch 128 2019-11-13 03:14:31.697: INFO @log_variables: train precision: 0.997433 2019-11-13 03:14:31.698: INFO @log_variables: train recall: 0.997466 2019-11-13 03:14:31.698: INFO @log_variables: train f1: 0.997450 2019-11-13 03:14:31.698: INFO @log_variables: train accuracy mean: 0.997534 2019-11-13 03:14:31.698: INFO @log_variables: train loss mean: 0.007274 2019-11-13 03:14:31.698: INFO @log_variables: valid precision: 0.907023 2019-11-13 03:14:31.698: INFO @log_variables: valid recall: 0.908225 2019-11-13 03:14:31.699: INFO @log_variables: valid f1: 0.907608 2019-11-13 03:14:31.699: INFO @log_variables: valid accuracy mean: 0.910420 2019-11-13 03:14:31.699: INFO @log_variables: valid loss mean: 0.829827 2019-11-13 03:14:31.699: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:14:32.458: INFO @log_profile : T train: 23.664519 2019-11-13 03:14:32.458: INFO @log_profile : T valid: 2.522144 2019-11-13 03:14:32.458: INFO @log_profile : T read data: 331.892214 2019-11-13 03:14:32.458: INFO @log_profile : T hooks: 1.828041 2019-11-13 03:14:32.458: INFO @main_loop : Epoch 128 done 2019-11-13 03:14:32.458: INFO @main_loop : Training epoch 129 2019-11-13 03:20:33.662: INFO @log_variables: train precision: 0.997635 2019-11-13 03:20:33.663: INFO @log_variables: train recall: 0.997630 2019-11-13 03:20:33.663: INFO @log_variables: train f1: 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03:26:35.033: INFO @log_variables: train precision: 0.997798 2019-11-13 03:26:35.034: INFO @log_variables: train recall: 0.997807 2019-11-13 03:26:35.034: INFO @log_variables: train f1: 0.997803 2019-11-13 03:26:35.034: INFO @log_variables: train accuracy mean: 0.997876 2019-11-13 03:26:35.034: INFO @log_variables: train loss mean: 0.006176 2019-11-13 03:26:35.034: INFO @log_variables: valid precision: 0.904123 2019-11-13 03:26:35.034: INFO @log_variables: valid recall: 0.904408 2019-11-13 03:26:35.034: INFO @log_variables: valid f1: 0.904264 2019-11-13 03:26:35.034: INFO @log_variables: valid accuracy mean: 0.907284 2019-11-13 03:26:35.034: INFO @log_variables: valid loss mean: 0.838092 2019-11-13 03:26:35.034: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:26:35.824: INFO @log_profile : T train: 24.292203 2019-11-13 03:26:35.824: INFO @log_profile : T valid: 2.530659 2019-11-13 03:26:35.824: INFO @log_profile : T read data: 332.520231 2019-11-13 03:26:35.824: INFO @log_profile : T hooks: 1.866352 2019-11-13 03:26:35.824: INFO @main_loop : Epoch 130 done 2019-11-13 03:26:35.825: INFO @main_loop : Training epoch 131 2019-11-13 03:32:39.395: INFO @log_variables: train precision: 0.997540 2019-11-13 03:32:39.396: INFO @log_variables: train recall: 0.997516 2019-11-13 03:32:39.396: INFO @log_variables: train f1: 0.997528 2019-11-13 03:32:39.396: INFO @log_variables: train accuracy mean: 0.997610 2019-11-13 03:32:39.396: INFO @log_variables: train loss mean: 0.006868 2019-11-13 03:32:39.396: INFO @log_variables: valid precision: 0.905270 2019-11-13 03:32:39.396: INFO @log_variables: valid recall: 0.905149 2019-11-13 03:32:39.396: INFO @log_variables: valid f1: 0.905209 2019-11-13 03:32:39.396: INFO @log_variables: valid accuracy mean: 0.908245 2019-11-13 03:32:39.396: INFO @log_variables: valid loss mean: 0.741608 2019-11-13 03:32:39.397: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:32:40.130: INFO @log_profile : T train: 24.174269 2019-11-13 03:32:40.130: INFO @log_profile : T valid: 2.369295 2019-11-13 03:32:40.130: INFO @log_profile : T read data: 335.751450 2019-11-13 03:32:40.131: INFO @log_profile : T hooks: 1.814805 2019-11-13 03:32:40.131: INFO @main_loop : Epoch 131 done 2019-11-13 03:32:40.131: INFO @main_loop : Training epoch 132 2019-11-13 03:38:42.407: INFO @log_variables: train precision: 0.997888 2019-11-13 03:38:42.408: INFO @log_variables: train recall: 0.997926 2019-11-13 03:38:42.408: INFO @log_variables: train f1: 0.997907 2019-11-13 03:38:42.408: INFO @log_variables: train accuracy mean: 0.997977 2019-11-13 03:38:42.408: INFO @log_variables: train loss mean: 0.005766 2019-11-13 03:38:42.408: INFO @log_variables: valid precision: 0.900705 2019-11-13 03:38:42.408: INFO @log_variables: valid recall: 0.905359 2019-11-13 03:38:42.408: INFO @log_variables: valid f1: 0.902736 2019-11-13 03:38:42.408: INFO @log_variables: valid accuracy mean: 0.905260 2019-11-13 03:38:42.408: INFO @log_variables: valid loss mean: 0.903208 2019-11-13 03:38:42.408: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:38:43.221: INFO @log_profile : T train: 24.073726 2019-11-13 03:38:43.221: INFO @log_profile : T valid: 2.362764 2019-11-13 03:38:43.221: INFO @log_profile : T read data: 334.587805 2019-11-13 03:38:43.221: INFO @log_profile : T hooks: 1.873103 2019-11-13 03:38:43.221: INFO @main_loop : Epoch 132 done 2019-11-13 03:38:43.221: INFO @main_loop : Training epoch 133 2019-11-13 03:44:43.914: INFO @log_variables: train precision: 0.996968 2019-11-13 03:44:43.915: INFO @log_variables: train recall: 0.997016 2019-11-13 03:44:43.915: INFO @log_variables: train f1: 0.996992 2019-11-13 03:44:43.915: INFO @log_variables: train accuracy mean: 0.997092 2019-11-13 03:44:43.915: INFO @log_variables: train loss mean: 0.008291 2019-11-13 03:44:43.915: INFO @log_variables: valid precision: 0.905369 2019-11-13 03:44:43.915: INFO @log_variables: valid recall: 0.906981 2019-11-13 03:44:43.916: INFO @log_variables: valid f1: 0.906144 2019-11-13 03:44:43.916: INFO @log_variables: valid accuracy mean: 0.908953 2019-11-13 03:44:43.916: INFO @log_variables: valid loss mean: 0.817303 2019-11-13 03:44:43.916: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:44:44.644: INFO @log_profile : T train: 24.336207 2019-11-13 03:44:44.644: INFO @log_profile : T valid: 2.434877 2019-11-13 03:44:44.645: INFO @log_profile : T read data: 332.666071 2019-11-13 03:44:44.645: INFO @log_profile : T hooks: 1.777711 2019-11-13 03:44:44.645: INFO @main_loop : Epoch 133 done 2019-11-13 03:44:44.645: INFO @main_loop : Training epoch 134 2019-11-13 03:50:47.433: INFO @log_variables: train precision: 0.997733 2019-11-13 03:50:47.434: INFO @log_variables: train recall: 0.997794 2019-11-13 03:50:47.434: INFO @log_variables: train f1: 0.997764 2019-11-13 03:50:47.434: INFO @log_variables: train accuracy mean: 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03:56:51.161: INFO @log_variables: train recall: 0.998000 2019-11-13 03:56:51.161: INFO @log_variables: train f1: 0.997986 2019-11-13 03:56:51.161: INFO @log_variables: train accuracy mean: 0.998053 2019-11-13 03:56:51.161: INFO @log_variables: train loss mean: 0.005672 2019-11-13 03:56:51.162: INFO @log_variables: valid precision: 0.907188 2019-11-13 03:56:51.162: INFO @log_variables: valid recall: 0.907655 2019-11-13 03:56:51.162: INFO @log_variables: valid f1: 0.907419 2019-11-13 03:56:51.162: INFO @log_variables: valid accuracy mean: 0.910319 2019-11-13 03:56:51.162: INFO @log_variables: valid loss mean: 0.826334 2019-11-13 03:56:51.162: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 03:56:51.951: INFO @log_profile : T train: 24.341194 2019-11-13 03:56:51.951: INFO @log_profile : T valid: 2.530208 2019-11-13 03:56:51.951: INFO @log_profile : T read data: 334.518771 2019-11-13 03:56:51.951: INFO @log_profile : T hooks: 1.828469 2019-11-13 03:56:51.951: INFO @main_loop : Epoch 135 done 2019-11-13 03:56:51.951: INFO @main_loop : Training epoch 136 2019-11-13 04:02:54.606: INFO @log_variables: train precision: 0.997613 2019-11-13 04:02:54.607: INFO @log_variables: train recall: 0.997679 2019-11-13 04:02:54.607: INFO @log_variables: train f1: 0.997646 2019-11-13 04:02:54.607: INFO @log_variables: train accuracy mean: 0.997724 2019-11-13 04:02:54.607: INFO @log_variables: train loss mean: 0.006135 2019-11-13 04:02:54.607: INFO @log_variables: valid precision: 0.905609 2019-11-13 04:02:54.607: INFO @log_variables: valid recall: 0.899312 2019-11-13 04:02:54.607: INFO @log_variables: valid f1: 0.902096 2019-11-13 04:02:54.607: INFO @log_variables: valid accuracy mean: 0.905918 2019-11-13 04:02:54.608: INFO @log_variables: valid loss mean: 0.853343 2019-11-13 04:02:54.608: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:02:55.435: INFO @log_profile : T train: 23.661015 2019-11-13 04:02:55.435: INFO @log_profile : T valid: 2.479828 2019-11-13 04:02:55.435: INFO @log_profile : T read data: 335.236717 2019-11-13 04:02:55.435: INFO @log_profile : T hooks: 1.900530 2019-11-13 04:02:55.435: INFO @main_loop : Epoch 136 done 2019-11-13 04:02:55.435: INFO @main_loop : Training epoch 137 2019-11-13 04:08:59.985: INFO @log_variables: train precision: 0.998021 2019-11-13 04:08:59.986: INFO @log_variables: train recall: 0.998082 2019-11-13 04:08:59.986: INFO @log_variables: train f1: 0.998051 2019-11-13 04:08:59.986: INFO @log_variables: train accuracy mean: 0.998116 2019-11-13 04:08:59.986: INFO @log_variables: train loss mean: 0.005847 2019-11-13 04:08:59.986: INFO @log_variables: valid precision: 0.904793 2019-11-13 04:08:59.987: INFO @log_variables: valid recall: 0.908250 2019-11-13 04:08:59.987: INFO @log_variables: valid f1: 0.906369 2019-11-13 04:08:59.987: INFO @log_variables: valid accuracy mean: 0.908953 2019-11-13 04:08:59.987: INFO @log_variables: valid loss mean: 0.873744 2019-11-13 04:08:59.987: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:09:00.743: INFO @log_profile : T train: 24.334840 2019-11-13 04:09:00.743: INFO @log_profile : T valid: 2.465044 2019-11-13 04:09:00.743: INFO @log_profile : T read data: 336.441088 2019-11-13 04:09:00.743: INFO @log_profile : T hooks: 1.863085 2019-11-13 04:09:00.744: INFO @main_loop : Epoch 137 done 2019-11-13 04:09:00.744: INFO @main_loop : Training epoch 138 2019-11-13 04:15:02.759: INFO @log_variables: train precision: 0.997327 2019-11-13 04:15:02.760: INFO @log_variables: train recall: 0.997337 2019-11-13 04:15:02.760: INFO @log_variables: train f1: 0.997332 2019-11-13 04:15:02.760: INFO @log_variables: train accuracy mean: 0.997420 2019-11-13 04:15:02.760: INFO @log_variables: train loss mean: 0.007524 2019-11-13 04:15:02.760: INFO @log_variables: valid precision: 0.905348 2019-11-13 04:15:02.760: INFO @log_variables: valid recall: 0.908679 2019-11-13 04:15:02.761: INFO @log_variables: valid f1: 0.906873 2019-11-13 04:15:02.761: INFO @log_variables: valid accuracy mean: 0.909459 2019-11-13 04:15:02.761: INFO @log_variables: valid loss mean: 0.754432 2019-11-13 04:15:02.761: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:15:03.587: INFO @log_profile : T train: 23.637255 2019-11-13 04:15:03.587: INFO @log_profile : T valid: 2.468186 2019-11-13 04:15:03.587: INFO @log_profile : T read data: 334.641151 2019-11-13 04:15:03.587: INFO @log_profile : T hooks: 1.883332 2019-11-13 04:15:03.587: INFO @main_loop : Epoch 138 done 2019-11-13 04:15:03.587: INFO @main_loop : Training epoch 139 2019-11-13 04:21:09.286: INFO @log_variables: train precision: 0.997693 2019-11-13 04:21:09.287: INFO @log_variables: train recall: 0.997783 2019-11-13 04:21:09.287: INFO @log_variables: train f1: 0.997738 2019-11-13 04:21:09.287: INFO @log_variables: train accuracy mean: 0.997812 2019-11-13 04:21:09.287: INFO @log_variables: train loss mean: 0.006094 2019-11-13 04:21:09.287: INFO @log_variables: valid precision: 0.902389 2019-11-13 04:21:09.287: INFO @log_variables: valid recall: 0.907645 2019-11-13 04:21:09.287: INFO @log_variables: valid f1: 0.904631 2019-11-13 04:21:09.288: INFO @log_variables: valid accuracy mean: 0.907031 2019-11-13 04:21:09.288: INFO @log_variables: valid loss mean: 0.732677 2019-11-13 04:21:09.288: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:21:10.108: INFO @log_profile : T train: 24.348478 2019-11-13 04:21:10.108: INFO @log_profile : T valid: 2.559581 2019-11-13 04:21:10.108: INFO @log_profile : T read data: 337.529260 2019-11-13 04:21:10.108: INFO @log_profile : T hooks: 1.882047 2019-11-13 04:21:10.108: INFO @main_loop : Epoch 139 done 2019-11-13 04:21:10.108: INFO @main_loop : Training epoch 140 2019-11-13 04:27:14.875: INFO @log_variables: train precision: 0.997810 2019-11-13 04:27:14.876: INFO @log_variables: train recall: 0.997848 2019-11-13 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@main_loop : Training epoch 141 2019-11-13 04:33:19.511: INFO @log_variables: train precision: 0.998364 2019-11-13 04:33:19.512: INFO @log_variables: train recall: 0.998392 2019-11-13 04:33:19.512: INFO @log_variables: train f1: 0.998378 2019-11-13 04:33:19.512: INFO @log_variables: train accuracy mean: 0.998432 2019-11-13 04:33:19.512: INFO @log_variables: train loss mean: 0.004806 2019-11-13 04:33:19.512: INFO @log_variables: valid precision: 0.905790 2019-11-13 04:33:19.512: INFO @log_variables: valid recall: 0.906507 2019-11-13 04:33:19.512: INFO @log_variables: valid f1: 0.906143 2019-11-13 04:33:19.512: INFO @log_variables: valid accuracy mean: 0.909054 2019-11-13 04:33:19.512: INFO @log_variables: valid loss mean: 0.853268 2019-11-13 04:33:19.512: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:33:20.319: INFO @log_profile : T train: 24.313071 2019-11-13 04:33:20.319: INFO @log_profile : T valid: 2.567944 2019-11-13 04:33:20.319: INFO @log_profile : T read data: 335.606248 2019-11-13 04:33:20.319: INFO @log_profile : T hooks: 1.903649 2019-11-13 04:33:20.319: INFO @main_loop : Epoch 141 done 2019-11-13 04:33:20.319: INFO @main_loop : Training epoch 142 2019-11-13 04:39:28.688: INFO @log_variables: train precision: 0.997194 2019-11-13 04:39:28.689: INFO @log_variables: train recall: 0.997156 2019-11-13 04:39:28.689: INFO @log_variables: train f1: 0.997175 2019-11-13 04:39:28.689: INFO @log_variables: train accuracy mean: 0.997269 2019-11-13 04:39:28.689: INFO @log_variables: train loss mean: 0.007791 2019-11-13 04:39:28.689: INFO @log_variables: valid precision: 0.905388 2019-11-13 04:39:28.689: INFO @log_variables: valid recall: 0.903928 2019-11-13 04:39:28.689: INFO @log_variables: valid f1: 0.904636 2019-11-13 04:39:28.689: INFO @log_variables: valid accuracy mean: 0.907840 2019-11-13 04:39:28.689: INFO @log_variables: valid loss mean: 0.758818 2019-11-13 04:39:28.690: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:39:29.449: INFO @log_profile : T train: 23.589192 2019-11-13 04:39:29.450: INFO @log_profile : T valid: 2.498162 2019-11-13 04:39:29.450: INFO @log_profile : T read data: 340.988802 2019-11-13 04:39:29.450: INFO @log_profile : T hooks: 1.850309 2019-11-13 04:39:29.450: INFO @main_loop : Epoch 142 done 2019-11-13 04:39:29.450: INFO @main_loop : Training epoch 143 2019-11-13 04:45:39.904: INFO @log_variables: train precision: 0.998067 2019-11-13 04:45:39.905: INFO @log_variables: train recall: 0.998010 2019-11-13 04:45:39.905: INFO @log_variables: train f1: 0.998038 2019-11-13 04:45:39.905: INFO @log_variables: train accuracy mean: 0.998103 2019-11-13 04:45:39.906: INFO @log_variables: train loss mean: 0.005300 2019-11-13 04:45:39.906: INFO @log_variables: valid precision: 0.900405 2019-11-13 04:45:39.906: INFO @log_variables: valid recall: 0.904568 2019-11-13 04:45:39.906: INFO @log_variables: valid f1: 0.902255 2019-11-13 04:45:39.906: INFO @log_variables: valid accuracy mean: 0.904856 2019-11-13 04:45:39.906: INFO @log_variables: valid loss mean: 0.844872 2019-11-13 04:45:39.906: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:45:40.977: INFO @log_profile : T train: 24.180412 2019-11-13 04:45:40.978: INFO @log_profile : T valid: 2.494450 2019-11-13 04:45:40.978: INFO @log_profile : T read data: 342.417564 2019-11-13 04:45:40.978: INFO @log_profile : T hooks: 2.229676 2019-11-13 04:45:40.978: INFO @main_loop : Epoch 143 done 2019-11-13 04:45:40.978: INFO @main_loop : Training epoch 144 2019-11-13 04:51:55.858: INFO @log_variables: train precision: 0.997626 2019-11-13 04:51:55.859: INFO @log_variables: train recall: 0.997640 2019-11-13 04:51:55.859: INFO @log_variables: train f1: 0.997633 2019-11-13 04:51:55.860: INFO @log_variables: train accuracy mean: 0.997711 2019-11-13 04:51:55.860: INFO @log_variables: train loss mean: 0.006282 2019-11-13 04:51:55.860: INFO @log_variables: valid precision: 0.903120 2019-11-13 04:51:55.860: INFO @log_variables: valid recall: 0.901573 2019-11-13 04:51:55.860: INFO @log_variables: valid f1: 0.902322 2019-11-13 04:51:55.860: INFO @log_variables: valid accuracy mean: 0.905615 2019-11-13 04:51:55.860: INFO @log_variables: valid loss mean: 0.768036 2019-11-13 04:51:55.860: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 04:51:56.659: INFO @log_profile : T train: 24.309307 2019-11-13 04:51:56.659: INFO @log_profile : T valid: 2.397242 2019-11-13 04:51:56.659: INFO @log_profile : T read data: 346.623951 2019-11-13 04:51:56.659: INFO @log_profile : T hooks: 2.134923 2019-11-13 04:51:56.660: INFO @main_loop : Epoch 144 done 2019-11-13 04:51:56.660: INFO @main_loop : Training epoch 145 2019-11-13 04:58:16.732: INFO @log_variables: train precision: 0.998241 2019-11-13 04:58:16.735: INFO @log_variables: train recall: 0.998227 2019-11-13 04:58:16.735: INFO @log_variables: train f1: 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05:04:19.746: INFO @log_variables: train precision: 0.997733 2019-11-13 05:04:19.747: INFO @log_variables: train recall: 0.997794 2019-11-13 05:04:19.747: INFO @log_variables: train f1: 0.997764 2019-11-13 05:04:19.747: INFO @log_variables: train accuracy mean: 0.997838 2019-11-13 05:04:19.747: INFO @log_variables: train loss mean: 0.006526 2019-11-13 05:04:19.747: INFO @log_variables: valid precision: 0.908021 2019-11-13 05:04:19.747: INFO @log_variables: valid recall: 0.903701 2019-11-13 05:04:19.747: INFO @log_variables: valid f1: 0.905682 2019-11-13 05:04:19.747: INFO @log_variables: valid accuracy mean: 0.909155 2019-11-13 05:04:19.748: INFO @log_variables: valid loss mean: 0.740698 2019-11-13 05:04:19.748: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:04:20.551: INFO @log_profile : T train: 24.260173 2019-11-13 05:04:20.551: INFO @log_profile : T valid: 2.462554 2019-11-13 05:04:20.551: INFO @log_profile : T read data: 333.865795 2019-11-13 05:04:20.551: INFO @log_profile : T hooks: 2.214733 2019-11-13 05:04:20.551: INFO @main_loop : Epoch 146 done 2019-11-13 05:04:20.551: INFO @main_loop : Training epoch 147 2019-11-13 05:09:49.793: INFO @log_variables: train precision: 0.998149 2019-11-13 05:09:49.793: INFO @log_variables: train recall: 0.998163 2019-11-13 05:09:49.793: INFO @log_variables: train f1: 0.998156 2019-11-13 05:09:49.793: INFO @log_variables: train accuracy mean: 0.998217 2019-11-13 05:09:49.793: INFO @log_variables: train loss mean: 0.005283 2019-11-13 05:09:49.793: INFO @log_variables: valid precision: 0.901503 2019-11-13 05:09:49.793: INFO @log_variables: valid recall: 0.889766 2019-11-13 05:09:49.794: INFO @log_variables: valid f1: 0.894503 2019-11-13 05:09:49.794: INFO @log_variables: valid accuracy mean: 0.899241 2019-11-13 05:09:49.794: INFO @log_variables: valid loss mean: 0.807552 2019-11-13 05:09:49.794: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:09:50.501: INFO @log_profile : T train: 24.409594 2019-11-13 05:09:50.502: INFO @log_profile : T valid: 2.549369 2019-11-13 05:09:50.502: INFO @log_profile : T read data: 301.003187 2019-11-13 05:09:50.502: INFO @log_profile : T hooks: 1.795627 2019-11-13 05:09:50.502: INFO @main_loop : Epoch 147 done 2019-11-13 05:09:50.502: INFO @main_loop : Training epoch 148 2019-11-13 05:15:13.937: INFO @log_variables: train precision: 0.997956 2019-11-13 05:15:13.937: INFO @log_variables: train recall: 0.997989 2019-11-13 05:15:13.937: INFO @log_variables: train f1: 0.997973 2019-11-13 05:15:13.938: INFO @log_variables: train accuracy mean: 0.998040 2019-11-13 05:15:13.938: INFO @log_variables: train loss mean: 0.005556 2019-11-13 05:15:13.938: INFO @log_variables: valid precision: 0.905805 2019-11-13 05:15:13.938: INFO @log_variables: valid recall: 0.906625 2019-11-13 05:15:13.938: INFO @log_variables: valid f1: 0.906207 2019-11-13 05:15:13.938: INFO @log_variables: valid accuracy mean: 0.909105 2019-11-13 05:15:13.938: INFO @log_variables: valid loss mean: 0.792674 2019-11-13 05:15:13.938: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:15:14.659: INFO @log_profile : T train: 24.351959 2019-11-13 05:15:14.659: INFO @log_profile : T valid: 2.505550 2019-11-13 05:15:14.659: INFO @log_profile : T read data: 295.317493 2019-11-13 05:15:14.659: INFO @log_profile : T hooks: 1.794281 2019-11-13 05:15:14.659: INFO @main_loop : Epoch 148 done 2019-11-13 05:15:14.659: INFO @main_loop : Training epoch 149 2019-11-13 05:20:40.789: INFO @log_variables: train precision: 0.997724 2019-11-13 05:20:40.790: INFO @log_variables: train recall: 0.997724 2019-11-13 05:20:40.790: INFO @log_variables: train f1: 0.997724 2019-11-13 05:20:40.790: INFO @log_variables: train accuracy mean: 0.997800 2019-11-13 05:20:40.790: INFO @log_variables: train loss mean: 0.006643 2019-11-13 05:20:40.790: INFO @log_variables: valid precision: 0.905554 2019-11-13 05:20:40.790: INFO @log_variables: valid recall: 0.904973 2019-11-13 05:20:40.790: INFO @log_variables: valid f1: 0.905260 2019-11-13 05:20:40.790: INFO @log_variables: valid accuracy mean: 0.908346 2019-11-13 05:20:40.790: INFO @log_variables: valid loss mean: 0.843329 2019-11-13 05:20:40.790: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:20:41.505: INFO @log_profile : T train: 24.373158 2019-11-13 05:20:41.506: INFO @log_profile : T valid: 2.531273 2019-11-13 05:20:41.506: INFO @log_profile : T read data: 297.939585 2019-11-13 05:20:41.506: INFO @log_profile : T hooks: 1.815655 2019-11-13 05:20:41.506: INFO @main_loop : Epoch 149 done 2019-11-13 05:20:41.506: INFO @main_loop : Training epoch 150 2019-11-13 05:26:07.804: INFO @log_variables: train precision: 0.998095 2019-11-13 05:26:07.805: INFO @log_variables: train recall: 0.998086 2019-11-13 05:26:07.805: INFO @log_variables: train f1: 0.998090 2019-11-13 05:26:07.805: INFO @log_variables: train accuracy mean: 0.998154 2019-11-13 05:26:07.805: INFO @log_variables: train loss mean: 0.005749 2019-11-13 05:26:07.805: INFO @log_variables: valid precision: 0.902275 2019-11-13 05:26:07.805: INFO @log_variables: valid recall: 0.907330 2019-11-13 05:26:07.805: INFO @log_variables: valid f1: 0.904449 2019-11-13 05:26:07.805: INFO @log_variables: valid accuracy mean: 0.906879 2019-11-13 05:26:07.805: INFO @log_variables: valid loss mean: 0.862883 2019-11-13 05:26:07.805: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:26:08.509: INFO @log_profile : T train: 24.311968 2019-11-13 05:26:08.509: INFO @log_profile : T valid: 2.378728 2019-11-13 05:26:08.509: INFO @log_profile : T read data: 298.356287 2019-11-13 05:26:08.509: INFO @log_profile : T hooks: 1.769507 2019-11-13 05:26:08.509: INFO @main_loop : Epoch 150 done 2019-11-13 05:26:08.509: INFO @main_loop : Training epoch 151 2019-11-13 05:31:33.419: INFO @log_variables: train precision: 0.998009 2019-11-13 05:31:33.419: INFO @log_variables: train recall: 0.998042 2019-11-13 05:31:33.419: INFO @log_variables: train f1: 0.998025 2019-11-13 05:31:33.419: INFO @log_variables: train accuracy mean: 0.998091 2019-11-13 05:31:33.419: INFO @log_variables: train loss mean: 0.005786 2019-11-13 05:31:33.420: INFO @log_variables: valid precision: 0.900850 2019-11-13 05:31:33.420: INFO @log_variables: valid recall: 0.903566 2019-11-13 05:31:33.420: INFO @log_variables: valid f1: 0.902116 2019-11-13 05:31:33.420: INFO @log_variables: valid accuracy mean: 0.904906 2019-11-13 05:31:33.420: INFO @log_variables: valid loss mean: 0.810701 2019-11-13 05:31:33.420: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:31:34.106: INFO @log_profile : T train: 23.623343 2019-11-13 05:31:34.106: INFO @log_profile : T valid: 2.530184 2019-11-13 05:31:34.106: INFO @log_profile : T read data: 297.513546 2019-11-13 05:31:34.106: INFO @log_profile : T hooks: 1.744611 2019-11-13 05:31:34.106: INFO @main_loop : Epoch 151 done 2019-11-13 05:31:34.106: INFO @main_loop : Training epoch 152 2019-11-13 05:36:57.454: INFO @log_variables: train precision: 0.997923 2019-11-13 05:36:57.454: INFO @log_variables: train recall: 0.997918 2019-11-13 05:36:57.454: INFO @log_variables: train f1: 0.997920 2019-11-13 05:36:57.455: INFO @log_variables: train accuracy mean: 0.997989 2019-11-13 05:36:57.455: INFO @log_variables: train loss mean: 0.006386 2019-11-13 05:36:57.455: INFO @log_variables: valid precision: 0.908934 2019-11-13 05:36:57.455: INFO @log_variables: valid recall: 0.906893 2019-11-13 05:36:57.455: INFO @log_variables: valid f1: 0.907871 2019-11-13 05:36:57.455: INFO @log_variables: valid accuracy mean: 0.911027 2019-11-13 05:36:57.455: INFO @log_variables: valid loss mean: 0.904508 2019-11-13 05:36:57.455: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:36:58.420: INFO @log_profile : T train: 23.616750 2019-11-13 05:36:58.421: INFO @log_profile : T valid: 2.374650 2019-11-13 05:36:58.421: INFO @log_profile : T read data: 296.115265 2019-11-13 05:36:58.421: INFO @log_profile : T hooks: 2.019332 2019-11-13 05:36:58.421: INFO @main_loop : Epoch 152 done 2019-11-13 05:36:58.421: INFO @main_loop : Training epoch 153 2019-11-13 05:42:21.951: INFO @log_variables: train precision: 0.998064 2019-11-13 05:42:21.951: INFO @log_variables: train recall: 0.998064 2019-11-13 05:42:21.951: INFO @log_variables: train f1: 0.998064 2019-11-13 05:42:21.951: INFO @log_variables: train accuracy mean: 0.998128 2019-11-13 05:42:21.951: INFO @log_variables: train loss mean: 0.005276 2019-11-13 05:42:21.951: INFO @log_variables: valid precision: 0.905627 2019-11-13 05:42:21.951: INFO @log_variables: valid recall: 0.906651 2019-11-13 05:42:21.951: INFO @log_variables: valid f1: 0.906127 2019-11-13 05:42:21.951: INFO @log_variables: valid accuracy mean: 0.909004 2019-11-13 05:42:21.951: INFO @log_variables: valid loss mean: 0.810381 2019-11-13 05:42:21.952: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:42:22.658: INFO @log_profile : T train: 24.338280 2019-11-13 05:42:22.658: INFO @log_profile : T valid: 2.334487 2019-11-13 05:42:22.658: INFO @log_profile : T read data: 295.611249 2019-11-13 05:42:22.658: INFO @log_profile : T hooks: 1.767006 2019-11-13 05:42:22.658: INFO @main_loop : Epoch 153 done 2019-11-13 05:42:22.658: INFO @main_loop : Training epoch 154 2019-11-13 05:47:43.374: INFO @log_variables: train precision: 0.997567 2019-11-13 05:47:43.374: INFO @log_variables: train recall: 0.997567 2019-11-13 05:47:43.374: INFO @log_variables: train f1: 0.997567 2019-11-13 05:47:43.375: INFO @log_variables: train accuracy mean: 0.997648 2019-11-13 05:47:43.375: INFO @log_variables: train loss mean: 0.006895 2019-11-13 05:47:43.375: INFO @log_variables: valid precision: 0.905585 2019-11-13 05:47:43.375: INFO @log_variables: valid recall: 0.902572 2019-11-13 05:47:43.375: INFO @log_variables: valid f1: 0.903987 2019-11-13 05:47:43.375: INFO @log_variables: valid accuracy mean: 0.907385 2019-11-13 05:47:43.375: INFO @log_variables: valid loss mean: 0.773707 2019-11-13 05:47:43.375: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:47:44.089: INFO @log_profile : T train: 24.197233 2019-11-13 05:47:44.089: INFO @log_profile : T valid: 2.459617 2019-11-13 05:47:44.089: INFO @log_profile : T read data: 292.810134 2019-11-13 05:47:44.089: INFO @log_profile : T hooks: 1.775720 2019-11-13 05:47:44.090: INFO @main_loop : Epoch 154 done 2019-11-13 05:47:44.090: INFO @main_loop : Training epoch 155 2019-11-13 05:53:05.454: INFO @log_variables: train precision: 0.997919 2019-11-13 05:53:05.454: INFO @log_variables: train recall: 0.997948 2019-11-13 05:53:05.454: INFO @log_variables: train f1: 0.997934 2019-11-13 05:53:05.454: INFO @log_variables: train accuracy mean: 0.998002 2019-11-13 05:53:05.454: INFO @log_variables: train loss mean: 0.005980 2019-11-13 05:53:05.454: INFO @log_variables: valid precision: 0.907637 2019-11-13 05:53:05.454: INFO @log_variables: valid recall: 0.905324 2019-11-13 05:53:05.454: INFO @log_variables: valid f1: 0.906426 2019-11-13 05:53:05.454: INFO @log_variables: valid accuracy mean: 0.909661 2019-11-13 05:53:05.455: INFO @log_variables: valid loss mean: 0.758334 2019-11-13 05:53:05.455: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 05:53:06.163: INFO @log_profile : T train: 24.273712 2019-11-13 05:53:06.163: INFO @log_profile : T valid: 2.494739 2019-11-13 05:53:06.163: INFO @log_profile : T read data: 293.314908 2019-11-13 05:53:06.163: INFO @log_profile : T hooks: 1.802271 2019-11-13 05:53:06.163: INFO @main_loop : Epoch 155 done 2019-11-13 05:53:06.164: INFO @main_loop : Training epoch 156 2019-11-13 05:58:31.843: INFO @log_variables: train precision: 0.998161 2019-11-13 05:58:31.843: INFO @log_variables: train recall: 0.998203 2019-11-13 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@main_loop : Training epoch 157 2019-11-13 06:03:55.350: INFO @log_variables: train precision: 0.997753 2019-11-13 06:03:55.350: INFO @log_variables: train recall: 0.997800 2019-11-13 06:03:55.350: INFO @log_variables: train f1: 0.997777 2019-11-13 06:03:55.350: INFO @log_variables: train accuracy mean: 0.997850 2019-11-13 06:03:55.350: INFO @log_variables: train loss mean: 0.006355 2019-11-13 06:03:55.350: INFO @log_variables: valid precision: 0.907478 2019-11-13 06:03:55.350: INFO @log_variables: valid recall: 0.906408 2019-11-13 06:03:55.350: INFO @log_variables: valid f1: 0.906931 2019-11-13 06:03:55.350: INFO @log_variables: valid accuracy mean: 0.910015 2019-11-13 06:03:55.350: INFO @log_variables: valid loss mean: 0.848434 2019-11-13 06:03:55.350: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:03:56.059: INFO @log_profile : T train: 24.359164 2019-11-13 06:03:56.059: INFO @log_profile : T valid: 2.371657 2019-11-13 06:03:56.059: INFO @log_profile : T read data: 294.842852 2019-11-13 06:03:56.059: INFO @log_profile : T hooks: 1.739486 2019-11-13 06:03:56.059: INFO @main_loop : Epoch 157 done 2019-11-13 06:03:56.059: INFO @main_loop : Training epoch 158 2019-11-13 06:09:19.326: INFO @log_variables: train precision: 0.998382 2019-11-13 06:09:19.326: INFO @log_variables: train recall: 0.998453 2019-11-13 06:09:19.326: INFO @log_variables: train f1: 0.998418 2019-11-13 06:09:19.327: INFO @log_variables: train accuracy mean: 0.998470 2019-11-13 06:09:19.327: INFO @log_variables: train loss mean: 0.004396 2019-11-13 06:09:19.327: INFO @log_variables: valid precision: 0.903582 2019-11-13 06:09:19.327: INFO @log_variables: valid recall: 0.908570 2019-11-13 06:09:19.327: INFO @log_variables: valid f1: 0.905735 2019-11-13 06:09:19.327: INFO @log_variables: valid accuracy mean: 0.908144 2019-11-13 06:09:19.327: INFO @log_variables: valid loss mean: 0.851165 2019-11-13 06:09:19.327: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:09:20.032: INFO @log_profile : T train: 24.074353 2019-11-13 06:09:20.032: INFO @log_profile : T valid: 2.521862 2019-11-13 06:09:20.032: INFO @log_profile : T read data: 295.409624 2019-11-13 06:09:20.032: INFO @log_profile : T hooks: 1.775635 2019-11-13 06:09:20.032: INFO @main_loop : Epoch 158 done 2019-11-13 06:09:20.032: INFO @main_loop : Training epoch 159 2019-11-13 06:14:44.596: INFO @log_variables: train precision: 0.997740 2019-11-13 06:14:44.596: INFO @log_variables: train recall: 0.997735 2019-11-13 06:14:44.596: INFO @log_variables: train f1: 0.997737 2019-11-13 06:14:44.597: INFO @log_variables: train accuracy mean: 0.997812 2019-11-13 06:14:44.597: INFO @log_variables: train loss mean: 0.006194 2019-11-13 06:14:44.597: INFO @log_variables: valid precision: 0.905775 2019-11-13 06:14:44.597: INFO @log_variables: valid recall: 0.907572 2019-11-13 06:14:44.597: INFO @log_variables: valid f1: 0.906635 2019-11-13 06:14:44.597: INFO @log_variables: valid accuracy mean: 0.909408 2019-11-13 06:14:44.597: INFO @log_variables: valid loss mean: 0.815205 2019-11-13 06:14:44.597: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:14:45.309: INFO @log_profile : T train: 24.336286 2019-11-13 06:14:45.309: INFO @log_profile : T valid: 2.376617 2019-11-13 06:14:45.309: INFO @log_profile : T read data: 296.605220 2019-11-13 06:14:45.309: INFO @log_profile : T hooks: 1.771212 2019-11-13 06:14:45.309: INFO @main_loop : Epoch 159 done 2019-11-13 06:14:45.309: INFO @main_loop : Training epoch 160 2019-11-13 06:20:05.882: INFO @log_variables: train precision: 0.998247 2019-11-13 06:20:05.883: INFO @log_variables: train recall: 0.998247 2019-11-13 06:20:05.883: INFO @log_variables: train f1: 0.998247 2019-11-13 06:20:05.883: INFO @log_variables: train accuracy mean: 0.998305 2019-11-13 06:20:05.883: INFO @log_variables: train loss mean: 0.005070 2019-11-13 06:20:05.883: INFO @log_variables: valid precision: 0.904678 2019-11-13 06:20:05.883: INFO @log_variables: valid recall: 0.906484 2019-11-13 06:20:05.883: INFO @log_variables: valid f1: 0.905542 2019-11-13 06:20:05.883: INFO @log_variables: valid accuracy mean: 0.908346 2019-11-13 06:20:05.883: INFO @log_variables: valid loss mean: 0.776467 2019-11-13 06:20:05.883: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:20:06.746: INFO @log_profile : T train: 24.236556 2019-11-13 06:20:06.746: INFO @log_profile : T valid: 2.491731 2019-11-13 06:20:06.746: INFO @log_profile : T read data: 292.597784 2019-11-13 06:20:06.746: INFO @log_profile : T hooks: 1.924576 2019-11-13 06:20:06.746: INFO @main_loop : Epoch 160 done 2019-11-13 06:20:06.746: INFO @main_loop : Training epoch 161 2019-11-13 06:25:30.291: INFO @log_variables: train precision: 0.997503 2019-11-13 06:25:30.291: INFO @log_variables: train recall: 0.997475 2019-11-13 06:25:30.291: INFO @log_variables: train f1: 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06:30:54.395: INFO @log_variables: train precision: 0.998307 2019-11-13 06:30:54.395: INFO @log_variables: train recall: 0.998345 2019-11-13 06:30:54.395: INFO @log_variables: train f1: 0.998326 2019-11-13 06:30:54.395: INFO @log_variables: train accuracy mean: 0.998381 2019-11-13 06:30:54.395: INFO @log_variables: train loss mean: 0.005000 2019-11-13 06:30:54.395: INFO @log_variables: valid precision: 0.903902 2019-11-13 06:30:54.395: INFO @log_variables: valid recall: 0.902113 2019-11-13 06:30:54.395: INFO @log_variables: valid f1: 0.902974 2019-11-13 06:30:54.395: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-13 06:30:54.395: INFO @log_variables: valid loss mean: 0.858864 2019-11-13 06:30:54.395: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:30:55.115: INFO @log_profile : T train: 23.616243 2019-11-13 06:30:55.115: INFO @log_profile : T valid: 2.528284 2019-11-13 06:30:55.115: INFO @log_profile : T read data: 295.999366 2019-11-13 06:30:55.115: INFO @log_profile : T hooks: 1.776075 2019-11-13 06:30:55.115: INFO @main_loop : Epoch 162 done 2019-11-13 06:30:55.115: INFO @main_loop : Training epoch 163 2019-11-13 06:36:18.124: INFO @log_variables: train precision: 0.997937 2019-11-13 06:36:18.124: INFO @log_variables: train recall: 0.997904 2019-11-13 06:36:18.124: INFO @log_variables: train f1: 0.997920 2019-11-13 06:36:18.124: INFO @log_variables: train accuracy mean: 0.997989 2019-11-13 06:36:18.124: INFO @log_variables: train loss mean: 0.005850 2019-11-13 06:36:18.124: INFO @log_variables: valid precision: 0.903625 2019-11-13 06:36:18.124: INFO @log_variables: valid recall: 0.904411 2019-11-13 06:36:18.124: INFO @log_variables: valid f1: 0.904011 2019-11-13 06:36:18.124: INFO @log_variables: valid accuracy mean: 0.906980 2019-11-13 06:36:18.124: INFO @log_variables: valid loss mean: 0.807938 2019-11-13 06:36:18.125: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:36:18.831: INFO @log_profile : T train: 23.586456 2019-11-13 06:36:18.831: INFO @log_profile : T valid: 2.513742 2019-11-13 06:36:18.831: INFO @log_profile : T read data: 295.643597 2019-11-13 06:36:18.831: INFO @log_profile : T hooks: 1.784186 2019-11-13 06:36:18.831: INFO @main_loop : Epoch 163 done 2019-11-13 06:36:18.831: INFO @main_loop : Training epoch 164 2019-11-13 06:41:40.927: INFO @log_variables: train precision: 0.998363 2019-11-13 06:41:40.927: INFO @log_variables: train recall: 0.998367 2019-11-13 06:41:40.927: INFO @log_variables: train f1: 0.998365 2019-11-13 06:41:40.927: INFO @log_variables: train accuracy mean: 0.998419 2019-11-13 06:41:40.927: INFO @log_variables: train loss mean: 0.004525 2019-11-13 06:41:40.927: INFO @log_variables: valid precision: 0.905718 2019-11-13 06:41:40.927: INFO @log_variables: valid recall: 0.905121 2019-11-13 06:41:40.927: INFO @log_variables: valid f1: 0.905415 2019-11-13 06:41:40.928: INFO @log_variables: valid accuracy mean: 0.908498 2019-11-13 06:41:40.928: INFO @log_variables: valid loss mean: 0.897040 2019-11-13 06:41:40.928: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:41:41.641: INFO @log_profile : T train: 24.200988 2019-11-13 06:41:41.641: INFO @log_profile : T valid: 2.375242 2019-11-13 06:41:41.641: INFO @log_profile : T read data: 294.251460 2019-11-13 06:41:41.641: INFO @log_profile : T hooks: 1.793133 2019-11-13 06:41:41.641: INFO @main_loop : Epoch 164 done 2019-11-13 06:41:41.641: INFO @main_loop : Training epoch 165 2019-11-13 06:47:06.811: INFO @log_variables: train precision: 0.997656 2019-11-13 06:47:06.812: INFO @log_variables: train recall: 0.997661 2019-11-13 06:47:06.812: INFO @log_variables: train f1: 0.997659 2019-11-13 06:47:06.812: INFO @log_variables: train accuracy mean: 0.997736 2019-11-13 06:47:06.812: INFO @log_variables: train loss mean: 0.006449 2019-11-13 06:47:06.812: INFO @log_variables: valid precision: 0.906872 2019-11-13 06:47:06.812: INFO @log_variables: valid recall: 0.908660 2019-11-13 06:47:06.812: INFO @log_variables: valid f1: 0.907728 2019-11-13 06:47:06.812: INFO @log_variables: valid accuracy mean: 0.910470 2019-11-13 06:47:06.812: INFO @log_variables: valid loss mean: 0.803651 2019-11-13 06:47:06.812: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:47:07.524: INFO @log_profile : T train: 24.281143 2019-11-13 06:47:07.525: INFO @log_profile : T valid: 2.379144 2019-11-13 06:47:07.525: INFO @log_profile : T read data: 297.246533 2019-11-13 06:47:07.525: INFO @log_profile : T hooks: 1.788158 2019-11-13 06:47:07.525: INFO @main_loop : Epoch 165 done 2019-11-13 06:47:07.525: INFO @main_loop : Training epoch 166 2019-11-13 06:52:31.821: INFO @log_variables: train precision: 0.998269 2019-11-13 06:52:31.821: INFO @log_variables: train recall: 0.998278 2019-11-13 06:52:31.821: INFO @log_variables: train f1: 0.998274 2019-11-13 06:52:31.821: INFO @log_variables: train accuracy mean: 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06:57:49.992: INFO @log_variables: train recall: 0.998246 2019-11-13 06:57:49.992: INFO @log_variables: train f1: 0.998234 2019-11-13 06:57:49.992: INFO @log_variables: train accuracy mean: 0.998293 2019-11-13 06:57:49.992: INFO @log_variables: train loss mean: 0.004450 2019-11-13 06:57:49.992: INFO @log_variables: valid precision: 0.906751 2019-11-13 06:57:49.992: INFO @log_variables: valid recall: 0.907410 2019-11-13 06:57:49.992: INFO @log_variables: valid f1: 0.907075 2019-11-13 06:57:49.992: INFO @log_variables: valid accuracy mean: 0.909965 2019-11-13 06:57:49.992: INFO @log_variables: valid loss mean: 0.826722 2019-11-13 06:57:49.992: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 06:57:50.656: INFO @log_profile : T train: 24.420542 2019-11-13 06:57:50.656: INFO @log_profile : T valid: 2.371178 2019-11-13 06:57:50.656: INFO @log_profile : T read data: 289.451856 2019-11-13 06:57:50.656: INFO @log_profile : T hooks: 1.683204 2019-11-13 06:57:50.656: INFO @main_loop : Epoch 167 done 2019-11-13 06:57:50.656: INFO @main_loop : Training epoch 168 2019-11-13 07:02:58.730: INFO @log_variables: train precision: 0.998244 2019-11-13 07:02:58.731: INFO @log_variables: train recall: 0.998277 2019-11-13 07:02:58.731: INFO @log_variables: train f1: 0.998261 2019-11-13 07:02:58.731: INFO @log_variables: train accuracy mean: 0.998318 2019-11-13 07:02:58.731: INFO @log_variables: train loss mean: 0.004967 2019-11-13 07:02:58.731: INFO @log_variables: valid precision: 0.901578 2019-11-13 07:02:58.731: INFO @log_variables: valid recall: 0.907628 2019-11-13 07:02:58.731: INFO @log_variables: valid f1: 0.904068 2019-11-13 07:02:58.731: INFO @log_variables: valid accuracy mean: 0.906373 2019-11-13 07:02:58.731: INFO @log_variables: valid loss mean: 0.793392 2019-11-13 07:02:58.731: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:02:59.382: INFO @log_profile : T train: 24.500334 2019-11-13 07:02:59.382: INFO @log_profile : T valid: 2.539011 2019-11-13 07:02:59.382: INFO @log_profile : T read data: 279.793873 2019-11-13 07:02:59.382: INFO @log_profile : T hooks: 1.706770 2019-11-13 07:02:59.382: INFO @main_loop : Epoch 168 done 2019-11-13 07:02:59.382: INFO @main_loop : Training epoch 169 2019-11-13 07:08:04.497: INFO @log_variables: train precision: 0.998205 2019-11-13 07:08:04.497: INFO @log_variables: train recall: 0.998186 2019-11-13 07:08:04.497: INFO @log_variables: train f1: 0.998195 2019-11-13 07:08:04.497: INFO @log_variables: train accuracy mean: 0.998255 2019-11-13 07:08:04.497: INFO @log_variables: train loss mean: 0.005272 2019-11-13 07:08:04.497: INFO @log_variables: valid precision: 0.902484 2019-11-13 07:08:04.497: INFO @log_variables: valid recall: 0.903844 2019-11-13 07:08:04.497: INFO @log_variables: valid f1: 0.903142 2019-11-13 07:08:04.497: INFO @log_variables: valid accuracy mean: 0.906070 2019-11-13 07:08:04.497: INFO @log_variables: valid loss mean: 0.806193 2019-11-13 07:08:04.497: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:08:05.174: INFO @log_profile : T train: 24.434137 2019-11-13 07:08:05.174: INFO @log_profile : T valid: 2.554552 2019-11-13 07:08:05.174: INFO @log_profile : T read data: 276.887279 2019-11-13 07:08:05.174: INFO @log_profile : T hooks: 1.729250 2019-11-13 07:08:05.175: INFO @main_loop : Epoch 169 done 2019-11-13 07:08:05.175: INFO @main_loop : Training epoch 170 2019-11-13 07:13:13.055: INFO @log_variables: train precision: 0.998276 2019-11-13 07:13:13.056: INFO @log_variables: train recall: 0.998324 2019-11-13 07:13:13.056: INFO @log_variables: train f1: 0.998300 2019-11-13 07:13:13.056: INFO @log_variables: train accuracy mean: 0.998356 2019-11-13 07:13:13.056: INFO @log_variables: train loss mean: 0.005114 2019-11-13 07:13:13.056: INFO @log_variables: valid precision: 0.901404 2019-11-13 07:13:13.056: INFO @log_variables: valid recall: 0.906947 2019-11-13 07:13:13.056: INFO @log_variables: valid f1: 0.903738 2019-11-13 07:13:13.056: INFO @log_variables: valid accuracy mean: 0.906120 2019-11-13 07:13:13.056: INFO @log_variables: valid loss mean: 0.849883 2019-11-13 07:13:13.056: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:13:13.876: INFO @log_profile : T train: 24.438315 2019-11-13 07:13:13.876: INFO @log_profile : T valid: 2.575145 2019-11-13 07:13:13.876: INFO @log_profile : T read data: 279.644687 2019-11-13 07:13:13.876: INFO @log_profile : T hooks: 1.858121 2019-11-13 07:13:13.876: INFO @main_loop : Epoch 170 done 2019-11-13 07:13:13.876: INFO @main_loop : Training epoch 171 2019-11-13 07:18:22.940: INFO @log_variables: train precision: 0.998349 2019-11-13 07:18:22.941: INFO @log_variables: train recall: 0.998382 2019-11-13 07:18:22.941: INFO @log_variables: train f1: 0.998365 2019-11-13 07:18:22.941: INFO @log_variables: train accuracy mean: 0.998419 2019-11-13 07:18:22.941: INFO @log_variables: train loss mean: 0.004873 2019-11-13 07:18:22.941: INFO @log_variables: valid precision: 0.905966 2019-11-13 07:18:22.941: INFO @log_variables: valid recall: 0.904005 2019-11-13 07:18:22.941: INFO @log_variables: valid f1: 0.904945 2019-11-13 07:18:22.941: INFO @log_variables: valid accuracy mean: 0.908194 2019-11-13 07:18:22.941: INFO @log_variables: valid loss mean: 0.872800 2019-11-13 07:18:22.941: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:18:23.606: INFO @log_profile : T train: 24.315549 2019-11-13 07:18:23.606: INFO @log_profile : T valid: 2.429847 2019-11-13 07:18:23.606: INFO @log_profile : T read data: 281.119371 2019-11-13 07:18:23.606: INFO @log_profile : T hooks: 1.682684 2019-11-13 07:18:23.606: INFO @main_loop : Epoch 171 done 2019-11-13 07:18:23.606: INFO @main_loop : Training epoch 172 2019-11-13 07:23:31.685: INFO @log_variables: train precision: 0.997861 2019-11-13 07:23:31.685: INFO @log_variables: train recall: 0.997875 2019-11-13 07:23:31.685: INFO @log_variables: train f1: 0.997868 2019-11-13 07:23:31.685: INFO @log_variables: train accuracy mean: 0.997939 2019-11-13 07:23:31.686: INFO @log_variables: train loss mean: 0.005963 2019-11-13 07:23:31.686: INFO @log_variables: valid precision: 0.905920 2019-11-13 07:23:31.686: INFO @log_variables: valid recall: 0.908724 2019-11-13 07:23:31.686: INFO @log_variables: valid f1: 0.907225 2019-11-13 07:23:31.686: INFO @log_variables: valid accuracy mean: 0.909863 2019-11-13 07:23:31.686: INFO @log_variables: valid loss mean: 0.816443 2019-11-13 07:23:31.686: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:23:32.360: INFO @log_profile : T train: 24.054807 2019-11-13 07:23:32.360: INFO @log_profile : T valid: 2.361176 2019-11-13 07:23:32.360: INFO @log_profile : T read data: 280.400665 2019-11-13 07:23:32.360: INFO @log_profile : T hooks: 1.753945 2019-11-13 07:23:32.360: INFO @main_loop : Epoch 172 done 2019-11-13 07:23:32.360: INFO @main_loop : Training epoch 173 2019-11-13 07:28:38.100: INFO @log_variables: train precision: 0.998523 2019-11-13 07:28:38.100: INFO @log_variables: train recall: 0.998495 2019-11-13 07:28:38.100: INFO @log_variables: train f1: 0.998509 2019-11-13 07:28:38.100: INFO @log_variables: train accuracy mean: 0.998558 2019-11-13 07:28:38.100: INFO @log_variables: train loss mean: 0.003951 2019-11-13 07:28:38.100: INFO @log_variables: valid precision: 0.905186 2019-11-13 07:28:38.100: INFO @log_variables: valid recall: 0.897534 2019-11-13 07:28:38.100: INFO @log_variables: valid f1: 0.900839 2019-11-13 07:28:38.100: INFO @log_variables: valid accuracy mean: 0.904856 2019-11-13 07:28:38.100: INFO @log_variables: valid loss mean: 0.960550 2019-11-13 07:28:38.100: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:28:38.770: INFO @log_profile : T train: 24.444855 2019-11-13 07:28:38.770: INFO @log_profile : T valid: 2.510612 2019-11-13 07:28:38.770: INFO @log_profile : T read data: 277.516135 2019-11-13 07:28:38.770: INFO @log_profile : T hooks: 1.753083 2019-11-13 07:28:38.770: INFO @main_loop : Epoch 173 done 2019-11-13 07:28:38.770: INFO @main_loop : Training epoch 174 2019-11-13 07:33:46.110: INFO @log_variables: train precision: 0.998147 2019-11-13 07:33:46.110: INFO @log_variables: train recall: 0.998138 2019-11-13 07:33:46.110: INFO @log_variables: train f1: 0.998143 2019-11-13 07:33:46.110: INFO @log_variables: train accuracy mean: 0.998204 2019-11-13 07:33:46.110: INFO @log_variables: train loss mean: 0.005237 2019-11-13 07:33:46.110: INFO @log_variables: valid precision: 0.898194 2019-11-13 07:33:46.110: INFO @log_variables: valid recall: 0.903782 2019-11-13 07:33:46.110: INFO @log_variables: valid f1: 0.900536 2019-11-13 07:33:46.110: INFO @log_variables: valid accuracy mean: 0.902984 2019-11-13 07:33:46.110: INFO @log_variables: valid loss mean: 0.877501 2019-11-13 07:33:46.110: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:33:46.780: INFO @log_profile : T train: 24.394569 2019-11-13 07:33:46.780: INFO @log_profile : T valid: 2.394187 2019-11-13 07:33:46.780: INFO @log_profile : T read data: 279.300726 2019-11-13 07:33:46.780: INFO @log_profile : T hooks: 1.733575 2019-11-13 07:33:46.780: INFO @main_loop : Epoch 174 done 2019-11-13 07:33:46.780: INFO @main_loop : Training epoch 175 2019-11-13 07:38:53.042: INFO @log_variables: train precision: 0.998036 2019-11-13 07:38:53.042: INFO @log_variables: train recall: 0.998093 2019-11-13 07:38:53.042: INFO @log_variables: train f1: 0.998064 2019-11-13 07:38:53.042: INFO @log_variables: train accuracy mean: 0.998128 2019-11-13 07:38:53.043: INFO @log_variables: train loss mean: 0.005645 2019-11-13 07:38:53.043: INFO @log_variables: valid precision: 0.906453 2019-11-13 07:38:53.043: INFO @log_variables: valid recall: 0.902115 2019-11-13 07:38:53.043: INFO @log_variables: valid f1: 0.904102 2019-11-13 07:38:53.043: INFO @log_variables: valid accuracy mean: 0.907638 2019-11-13 07:38:53.043: INFO @log_variables: valid loss mean: 0.840353 2019-11-13 07:38:53.043: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:38:53.702: INFO @log_profile : T train: 24.212605 2019-11-13 07:38:53.702: INFO @log_profile : T valid: 2.539977 2019-11-13 07:38:53.702: INFO @log_profile : T read data: 278.294821 2019-11-13 07:38:53.702: INFO @log_profile : T hooks: 1.689087 2019-11-13 07:38:53.702: INFO @main_loop : Epoch 175 done 2019-11-13 07:38:53.702: INFO @main_loop : Training epoch 176 2019-11-13 07:43:58.501: INFO @log_variables: train precision: 0.997819 2019-11-13 07:43:58.501: INFO @log_variables: train recall: 0.997838 2019-11-13 07:43:58.501: INFO @log_variables: train f1: 0.997829 2019-11-13 07:43:58.501: INFO @log_variables: train accuracy mean: 0.997901 2019-11-13 07:43:58.501: INFO @log_variables: train loss mean: 0.005396 2019-11-13 07:43:58.501: INFO @log_variables: valid precision: 0.902998 2019-11-13 07:43:58.501: INFO @log_variables: valid recall: 0.901878 2019-11-13 07:43:58.501: INFO @log_variables: valid f1: 0.902424 2019-11-13 07:43:58.502: INFO @log_variables: valid accuracy mean: 0.905665 2019-11-13 07:43:58.502: INFO @log_variables: valid loss mean: 0.731904 2019-11-13 07:43:58.502: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:43:59.171: INFO @log_profile : T train: 24.374119 2019-11-13 07:43:59.171: INFO @log_profile : T valid: 2.392098 2019-11-13 07:43:59.171: INFO @log_profile : T read data: 276.771035 2019-11-13 07:43:59.171: INFO @log_profile : T hooks: 1.744440 2019-11-13 07:43:59.171: INFO @main_loop : Epoch 176 done 2019-11-13 07:43:59.171: INFO @main_loop : Training epoch 177 2019-11-13 07:49:06.084: INFO @log_variables: train precision: 0.998483 2019-11-13 07:49:06.084: INFO @log_variables: train recall: 0.998483 2019-11-13 07:49:06.084: INFO @log_variables: train f1: 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07:54:12.219: INFO @log_variables: train precision: 0.998042 2019-11-13 07:54:12.219: INFO @log_variables: train recall: 0.998113 2019-11-13 07:54:12.219: INFO @log_variables: train f1: 0.998077 2019-11-13 07:54:12.219: INFO @log_variables: train accuracy mean: 0.998141 2019-11-13 07:54:12.219: INFO @log_variables: train loss mean: 0.005514 2019-11-13 07:54:12.219: INFO @log_variables: valid precision: 0.906870 2019-11-13 07:54:12.219: INFO @log_variables: valid recall: 0.900053 2019-11-13 07:54:12.219: INFO @log_variables: valid f1: 0.903042 2019-11-13 07:54:12.219: INFO @log_variables: valid accuracy mean: 0.906879 2019-11-13 07:54:12.219: INFO @log_variables: valid loss mean: 0.959341 2019-11-13 07:54:12.219: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:54:12.895: INFO @log_profile : T train: 24.333653 2019-11-13 07:54:12.895: INFO @log_profile : T valid: 2.387618 2019-11-13 07:54:12.895: INFO @log_profile : T read data: 277.521045 2019-11-13 07:54:12.895: INFO @log_profile : T hooks: 1.713518 2019-11-13 07:54:12.895: INFO @main_loop : Epoch 178 done 2019-11-13 07:54:12.895: INFO @main_loop : Training epoch 179 2019-11-13 07:59:18.342: INFO @log_variables: train precision: 0.997925 2019-11-13 07:59:18.343: INFO @log_variables: train recall: 0.997968 2019-11-13 07:59:18.343: INFO @log_variables: train f1: 0.997947 2019-11-13 07:59:18.343: INFO @log_variables: train accuracy mean: 0.998015 2019-11-13 07:59:18.343: INFO @log_variables: train loss mean: 0.006116 2019-11-13 07:59:18.343: INFO @log_variables: valid precision: 0.905337 2019-11-13 07:59:18.343: INFO @log_variables: valid recall: 0.908177 2019-11-13 07:59:18.343: INFO @log_variables: valid f1: 0.906657 2019-11-13 07:59:18.343: INFO @log_variables: valid accuracy mean: 0.909307 2019-11-13 07:59:18.343: INFO @log_variables: valid loss mean: 0.820433 2019-11-13 07:59:18.343: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 07:59:19.176: INFO @log_profile : T train: 24.341957 2019-11-13 07:59:19.176: INFO @log_profile : T valid: 2.386240 2019-11-13 07:59:19.176: INFO @log_profile : T read data: 277.509269 2019-11-13 07:59:19.176: INFO @log_profile : T hooks: 1.859229 2019-11-13 07:59:19.176: INFO @main_loop : Epoch 179 done 2019-11-13 07:59:19.176: INFO @main_loop : Training epoch 180 2019-11-13 08:04:23.543: INFO @log_variables: train precision: 0.998780 2019-11-13 08:04:23.543: INFO @log_variables: train recall: 0.998761 2019-11-13 08:04:23.543: INFO @log_variables: train f1: 0.998771 2019-11-13 08:04:23.543: INFO @log_variables: train accuracy mean: 0.998811 2019-11-13 08:04:23.543: INFO @log_variables: train loss mean: 0.004229 2019-11-13 08:04:23.543: INFO @log_variables: valid precision: 0.906084 2019-11-13 08:04:23.543: INFO @log_variables: valid recall: 0.904462 2019-11-13 08:04:23.543: INFO @log_variables: valid f1: 0.905246 2019-11-13 08:04:23.543: INFO @log_variables: valid accuracy mean: 0.908447 2019-11-13 08:04:23.543: INFO @log_variables: valid loss mean: 0.884314 2019-11-13 08:04:23.543: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:04:24.213: INFO @log_profile : T train: 24.438353 2019-11-13 08:04:24.213: INFO @log_profile : T valid: 2.542330 2019-11-13 08:04:24.213: INFO @log_profile : T read data: 276.164360 2019-11-13 08:04:24.213: INFO @log_profile : T hooks: 1.706629 2019-11-13 08:04:24.213: INFO @main_loop : Epoch 180 done 2019-11-13 08:04:24.214: INFO @main_loop : Training epoch 181 2019-11-13 08:09:28.776: INFO @log_variables: train precision: 0.998626 2019-11-13 08:09:28.777: INFO @log_variables: train recall: 0.998654 2019-11-13 08:09:28.777: INFO @log_variables: train f1: 0.998640 2019-11-13 08:09:28.777: INFO @log_variables: train accuracy mean: 0.998685 2019-11-13 08:09:28.777: INFO @log_variables: train loss mean: 0.004373 2019-11-13 08:09:28.777: INFO @log_variables: valid precision: 0.908925 2019-11-13 08:09:28.777: INFO @log_variables: valid recall: 0.902316 2019-11-13 08:09:28.777: INFO @log_variables: valid f1: 0.905227 2019-11-13 08:09:28.777: INFO @log_variables: valid accuracy mean: 0.908953 2019-11-13 08:09:28.777: INFO @log_variables: valid loss mean: 0.947547 2019-11-13 08:09:28.777: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:09:29.439: INFO @log_profile : T train: 24.498141 2019-11-13 08:09:29.440: INFO @log_profile : T valid: 2.398667 2019-11-13 08:09:29.440: INFO @log_profile : T read data: 276.428921 2019-11-13 08:09:29.440: INFO @log_profile : T hooks: 1.715335 2019-11-13 08:09:29.440: INFO @main_loop : Epoch 181 done 2019-11-13 08:09:29.440: INFO @main_loop : Training epoch 182 2019-11-13 08:14:37.658: INFO @log_variables: train precision: 0.997968 2019-11-13 08:14:37.658: INFO @log_variables: train recall: 0.998030 2019-11-13 08:14:37.658: INFO @log_variables: train f1: 0.997999 2019-11-13 08:14:37.658: INFO @log_variables: train accuracy mean: 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08:19:44.271: INFO @log_variables: train recall: 0.998450 2019-11-13 08:19:44.271: INFO @log_variables: train f1: 0.998431 2019-11-13 08:19:44.271: INFO @log_variables: train accuracy mean: 0.998483 2019-11-13 08:19:44.272: INFO @log_variables: train loss mean: 0.004341 2019-11-13 08:19:44.272: INFO @log_variables: valid precision: 0.906623 2019-11-13 08:19:44.272: INFO @log_variables: valid recall: 0.903518 2019-11-13 08:19:44.272: INFO @log_variables: valid f1: 0.904974 2019-11-13 08:19:44.272: INFO @log_variables: valid accuracy mean: 0.908346 2019-11-13 08:19:44.272: INFO @log_variables: valid loss mean: 0.866929 2019-11-13 08:19:44.272: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:19:44.924: INFO @log_profile : T train: 24.476006 2019-11-13 08:19:44.924: INFO @log_profile : T valid: 2.400942 2019-11-13 08:19:44.925: INFO @log_profile : T read data: 277.840036 2019-11-13 08:19:44.925: INFO @log_profile : T hooks: 1.697704 2019-11-13 08:19:44.925: INFO @main_loop : Epoch 183 done 2019-11-13 08:19:44.925: INFO @main_loop : Training epoch 184 2019-11-13 08:24:50.519: INFO @log_variables: train precision: 0.998385 2019-11-13 08:24:50.519: INFO @log_variables: train recall: 0.998423 2019-11-13 08:24:50.519: INFO @log_variables: train f1: 0.998404 2019-11-13 08:24:50.519: INFO @log_variables: train accuracy mean: 0.998457 2019-11-13 08:24:50.519: INFO @log_variables: train loss mean: 0.004908 2019-11-13 08:24:50.519: INFO @log_variables: valid precision: 0.899736 2019-11-13 08:24:50.519: INFO @log_variables: valid recall: 0.906486 2019-11-13 08:24:50.520: INFO @log_variables: valid f1: 0.902411 2019-11-13 08:24:50.520: INFO @log_variables: valid accuracy mean: 0.904654 2019-11-13 08:24:50.520: INFO @log_variables: valid loss mean: 0.805946 2019-11-13 08:24:50.520: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:24:51.188: INFO @log_profile : T train: 23.746553 2019-11-13 08:24:51.188: INFO @log_profile : T valid: 2.624193 2019-11-13 08:24:51.188: INFO @log_profile : T read data: 277.988964 2019-11-13 08:24:51.188: INFO @log_profile : T hooks: 1.720581 2019-11-13 08:24:51.188: INFO @main_loop : Epoch 184 done 2019-11-13 08:24:51.188: INFO @main_loop : Training epoch 185 2019-11-13 08:30:00.282: INFO @log_variables: train precision: 0.998078 2019-11-13 08:30:00.282: INFO @log_variables: train recall: 0.998130 2019-11-13 08:30:00.282: INFO @log_variables: train f1: 0.998104 2019-11-13 08:30:00.282: INFO @log_variables: train accuracy mean: 0.998166 2019-11-13 08:30:00.282: INFO @log_variables: train loss mean: 0.005496 2019-11-13 08:30:00.282: INFO @log_variables: valid precision: 0.908029 2019-11-13 08:30:00.282: INFO @log_variables: valid recall: 0.907537 2019-11-13 08:30:00.282: INFO @log_variables: valid f1: 0.907780 2019-11-13 08:30:00.282: INFO @log_variables: valid accuracy mean: 0.910774 2019-11-13 08:30:00.283: INFO @log_variables: valid loss mean: 0.813645 2019-11-13 08:30:00.283: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:30:00.962: INFO @log_profile : T train: 24.465531 2019-11-13 08:30:00.962: INFO @log_profile : T valid: 2.604988 2019-11-13 08:30:00.963: INFO @log_profile : T read data: 280.792615 2019-11-13 08:30:00.963: INFO @log_profile : T hooks: 1.727720 2019-11-13 08:30:00.963: INFO @main_loop : Epoch 185 done 2019-11-13 08:30:00.963: INFO @main_loop : Training epoch 186 2019-11-13 08:35:07.649: INFO @log_variables: train precision: 0.998086 2019-11-13 08:35:07.649: INFO @log_variables: train recall: 0.998095 2019-11-13 08:35:07.650: INFO @log_variables: train f1: 0.998090 2019-11-13 08:35:07.650: INFO @log_variables: train accuracy mean: 0.998154 2019-11-13 08:35:07.650: INFO @log_variables: train loss mean: 0.005374 2019-11-13 08:35:07.650: INFO @log_variables: valid precision: 0.904137 2019-11-13 08:35:07.650: INFO @log_variables: valid recall: 0.905244 2019-11-13 08:35:07.650: INFO @log_variables: valid f1: 0.904676 2019-11-13 08:35:07.650: INFO @log_variables: valid accuracy mean: 0.907587 2019-11-13 08:35:07.650: INFO @log_variables: valid loss mean: 0.767406 2019-11-13 08:35:07.650: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:35:08.338: INFO @log_profile : T train: 23.769956 2019-11-13 08:35:08.338: INFO @log_profile : T valid: 2.574384 2019-11-13 08:35:08.338: INFO @log_profile : T read data: 279.080373 2019-11-13 08:35:08.338: INFO @log_profile : T hooks: 1.762538 2019-11-13 08:35:08.338: INFO @main_loop : Epoch 186 done 2019-11-13 08:35:08.339: INFO @main_loop : Training epoch 187 2019-11-13 08:40:14.891: INFO @log_variables: train precision: 0.998395 2019-11-13 08:40:14.891: INFO @log_variables: train recall: 0.998414 2019-11-13 08:40:14.891: INFO @log_variables: train f1: 0.998404 2019-11-13 08:40:14.891: INFO @log_variables: train accuracy mean: 0.998457 2019-11-13 08:40:14.891: INFO @log_variables: train loss mean: 0.004324 2019-11-13 08:40:14.891: INFO @log_variables: valid precision: 0.902445 2019-11-13 08:40:14.891: INFO @log_variables: valid recall: 0.900885 2019-11-13 08:40:14.891: INFO @log_variables: valid f1: 0.901639 2019-11-13 08:40:14.891: INFO @log_variables: valid accuracy mean: 0.904957 2019-11-13 08:40:14.891: INFO @log_variables: valid loss mean: 0.793511 2019-11-13 08:40:14.891: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:40:15.553: INFO @log_profile : T train: 24.529914 2019-11-13 08:40:15.553: INFO @log_profile : T valid: 2.641333 2019-11-13 08:40:15.553: INFO @log_profile : T read data: 278.147992 2019-11-13 08:40:15.553: INFO @log_profile : T hooks: 1.708686 2019-11-13 08:40:15.553: INFO @main_loop : Epoch 187 done 2019-11-13 08:40:15.553: INFO @main_loop : Training epoch 188 2019-11-13 08:45:21.312: INFO @log_variables: train precision: 0.998783 2019-11-13 08:45:21.312: INFO @log_variables: train recall: 0.998811 2019-11-13 08:45:21.312: INFO @log_variables: train f1: 0.998797 2019-11-13 08:45:21.312: INFO @log_variables: train accuracy mean: 0.998837 2019-11-13 08:45:21.313: INFO @log_variables: train loss mean: 0.003846 2019-11-13 08:45:21.313: INFO @log_variables: valid precision: 0.899589 2019-11-13 08:45:21.313: INFO @log_variables: valid recall: 0.906264 2019-11-13 08:45:21.313: INFO @log_variables: valid f1: 0.902245 2019-11-13 08:45:21.313: INFO @log_variables: valid accuracy mean: 0.904502 2019-11-13 08:45:21.313: INFO @log_variables: valid loss mean: 0.966701 2019-11-13 08:45:21.313: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:45:22.154: INFO @log_profile : T train: 23.757989 2019-11-13 08:45:22.154: INFO @log_profile : T valid: 2.602187 2019-11-13 08:45:22.154: INFO @log_profile : T read data: 278.176871 2019-11-13 08:45:22.154: INFO @log_profile : T hooks: 1.874270 2019-11-13 08:45:22.154: INFO @main_loop : Epoch 188 done 2019-11-13 08:45:22.154: INFO @main_loop : Training epoch 189 2019-11-13 08:50:29.334: INFO @log_variables: train precision: 0.998182 2019-11-13 08:50:29.334: INFO @log_variables: train recall: 0.998234 2019-11-13 08:50:29.334: INFO @log_variables: train f1: 0.998208 2019-11-13 08:50:29.334: INFO @log_variables: train accuracy mean: 0.998268 2019-11-13 08:50:29.334: INFO @log_variables: train loss mean: 0.005349 2019-11-13 08:50:29.334: INFO @log_variables: valid precision: 0.906219 2019-11-13 08:50:29.334: INFO @log_variables: valid recall: 0.905544 2019-11-13 08:50:29.334: INFO @log_variables: valid f1: 0.905877 2019-11-13 08:50:29.334: INFO @log_variables: valid accuracy mean: 0.908953 2019-11-13 08:50:29.334: INFO @log_variables: valid loss mean: 0.841028 2019-11-13 08:50:29.335: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:50:30.009: INFO @log_profile : T train: 23.738784 2019-11-13 08:50:30.009: INFO @log_profile : T valid: 2.519656 2019-11-13 08:50:30.009: INFO @log_profile : T read data: 279.691156 2019-11-13 08:50:30.009: INFO @log_profile : T hooks: 1.723192 2019-11-13 08:50:30.009: INFO @main_loop : Epoch 189 done 2019-11-13 08:50:30.009: INFO @main_loop : Training epoch 190 2019-11-13 08:55:39.742: INFO @log_variables: train precision: 0.998440 2019-11-13 08:55:39.742: INFO @log_variables: train recall: 0.998421 2019-11-13 08:55:39.742: INFO @log_variables: train f1: 0.998430 2019-11-13 08:55:39.742: INFO @log_variables: train accuracy mean: 0.998483 2019-11-13 08:55:39.742: INFO @log_variables: train loss mean: 0.004047 2019-11-13 08:55:39.742: INFO @log_variables: valid precision: 0.906062 2019-11-13 08:55:39.742: INFO @log_variables: valid recall: 0.897838 2019-11-13 08:55:39.742: INFO @log_variables: valid f1: 0.901358 2019-11-13 08:55:39.742: INFO @log_variables: valid accuracy mean: 0.905412 2019-11-13 08:55:39.742: INFO @log_variables: valid loss mean: 0.953183 2019-11-13 08:55:39.742: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 08:55:40.415: INFO @log_profile : T train: 24.383022 2019-11-13 08:55:40.416: INFO @log_profile : T valid: 2.479376 2019-11-13 08:55:40.416: INFO @log_profile : T read data: 281.613112 2019-11-13 08:55:40.416: INFO @log_profile : T hooks: 1.747680 2019-11-13 08:55:40.416: INFO @main_loop : Epoch 190 done 2019-11-13 08:55:40.416: INFO @main_loop : Training epoch 191 2019-11-13 09:00:46.960: INFO @log_variables: train precision: 0.998235 2019-11-13 09:00:46.960: INFO @log_variables: train recall: 0.998207 2019-11-13 09:00:46.960: INFO @log_variables: train f1: 0.998221 2019-11-13 09:00:46.960: INFO @log_variables: train accuracy mean: 0.998280 2019-11-13 09:00:46.960: INFO @log_variables: train loss mean: 0.004921 2019-11-13 09:00:46.960: INFO @log_variables: valid precision: 0.902742 2019-11-13 09:00:46.960: INFO @log_variables: valid recall: 0.903960 2019-11-13 09:00:46.960: INFO @log_variables: valid f1: 0.903333 2019-11-13 09:00:46.960: INFO @log_variables: valid accuracy mean: 0.906272 2019-11-13 09:00:46.960: INFO @log_variables: valid loss mean: 0.861616 2019-11-13 09:00:46.961: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:00:47.633: INFO @log_profile : T train: 24.392473 2019-11-13 09:00:47.633: INFO @log_profile : T valid: 2.538357 2019-11-13 09:00:47.633: INFO @log_profile : T read data: 278.393828 2019-11-13 09:00:47.633: INFO @log_profile : T hooks: 1.707237 2019-11-13 09:00:47.633: INFO @main_loop : Epoch 191 done 2019-11-13 09:00:47.633: INFO @main_loop : Training epoch 192 2019-11-13 09:05:54.785: INFO @log_variables: train precision: 0.998344 2019-11-13 09:05:54.785: INFO @log_variables: train recall: 0.998387 2019-11-13 09:05:54.785: INFO @log_variables: train f1: 0.998365 2019-11-13 09:05:54.785: INFO @log_variables: train accuracy mean: 0.998419 2019-11-13 09:05:54.785: INFO @log_variables: train loss mean: 0.004662 2019-11-13 09:05:54.785: INFO @log_variables: valid precision: 0.903303 2019-11-13 09:05:54.785: INFO @log_variables: valid recall: 0.889874 2019-11-13 09:05:54.785: INFO @log_variables: valid f1: 0.895165 2019-11-13 09:05:54.786: INFO @log_variables: valid accuracy mean: 0.900051 2019-11-13 09:05:54.786: INFO @log_variables: valid loss mean: 0.967986 2019-11-13 09:05:54.786: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:05:55.448: INFO @log_profile : T train: 23.750418 2019-11-13 09:05:55.448: INFO @log_profile : T valid: 2.569146 2019-11-13 09:05:55.448: INFO @log_profile : T read data: 279.594073 2019-11-13 09:05:55.448: INFO @log_profile : T hooks: 1.715528 2019-11-13 09:05:55.448: INFO @main_loop : Epoch 192 done 2019-11-13 09:05:55.448: INFO @main_loop : Training epoch 193 2019-11-13 09:11:02.327: INFO @log_variables: train precision: 0.998159 2019-11-13 09:11:02.327: INFO @log_variables: train recall: 0.998178 2019-11-13 09:11:02.327: INFO @log_variables: train f1: 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09:16:12.098: INFO @log_variables: train precision: 0.998316 2019-11-13 09:16:12.098: INFO @log_variables: train recall: 0.998335 2019-11-13 09:16:12.098: INFO @log_variables: train f1: 0.998326 2019-11-13 09:16:12.098: INFO @log_variables: train accuracy mean: 0.998381 2019-11-13 09:16:12.098: INFO @log_variables: train loss mean: 0.004683 2019-11-13 09:16:12.099: INFO @log_variables: valid precision: 0.900685 2019-11-13 09:16:12.099: INFO @log_variables: valid recall: 0.904975 2019-11-13 09:16:12.099: INFO @log_variables: valid f1: 0.902583 2019-11-13 09:16:12.099: INFO @log_variables: valid accuracy mean: 0.905159 2019-11-13 09:16:12.099: INFO @log_variables: valid loss mean: 0.877554 2019-11-13 09:16:12.099: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:16:12.772: INFO @log_profile : T train: 23.757611 2019-11-13 09:16:12.772: INFO @log_profile : T valid: 2.566578 2019-11-13 09:16:12.772: INFO @log_profile : T read data: 281.559200 2019-11-13 09:16:12.772: INFO @log_profile : T hooks: 1.717376 2019-11-13 09:16:12.772: INFO @main_loop : Epoch 194 done 2019-11-13 09:16:12.772: INFO @main_loop : Training epoch 195 2019-11-13 09:21:20.526: INFO @log_variables: train precision: 0.998859 2019-11-13 09:21:20.526: INFO @log_variables: train recall: 0.998840 2019-11-13 09:21:20.526: INFO @log_variables: train f1: 0.998849 2019-11-13 09:21:20.526: INFO @log_variables: train accuracy mean: 0.998887 2019-11-13 09:21:20.526: INFO @log_variables: train loss mean: 0.003531 2019-11-13 09:21:20.526: INFO @log_variables: valid precision: 0.900792 2019-11-13 09:21:20.526: INFO @log_variables: valid recall: 0.905520 2019-11-13 09:21:20.526: INFO @log_variables: valid f1: 0.902850 2019-11-13 09:21:20.526: INFO @log_variables: valid accuracy mean: 0.905362 2019-11-13 09:21:20.526: INFO @log_variables: valid loss mean: 0.928466 2019-11-13 09:21:20.526: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:21:21.201: INFO @log_profile : T train: 24.443818 2019-11-13 09:21:21.201: INFO @log_profile : T valid: 2.575373 2019-11-13 09:21:21.201: INFO @log_profile : T read data: 279.516527 2019-11-13 09:21:21.201: INFO @log_profile : T hooks: 1.707838 2019-11-13 09:21:21.201: INFO @main_loop : Epoch 195 done 2019-11-13 09:21:21.201: INFO @main_loop : Training epoch 196 2019-11-13 09:26:27.856: INFO @log_variables: train precision: 0.998265 2019-11-13 09:26:27.856: INFO @log_variables: train recall: 0.998308 2019-11-13 09:26:27.856: INFO @log_variables: train f1: 0.998287 2019-11-13 09:26:27.856: INFO @log_variables: train accuracy mean: 0.998343 2019-11-13 09:26:27.856: INFO @log_variables: train loss mean: 0.005067 2019-11-13 09:26:27.856: INFO @log_variables: valid precision: 0.902347 2019-11-13 09:26:27.856: INFO @log_variables: valid recall: 0.906839 2019-11-13 09:26:27.856: INFO @log_variables: valid f1: 0.904322 2019-11-13 09:26:27.856: INFO @log_variables: valid accuracy mean: 0.906829 2019-11-13 09:26:27.856: INFO @log_variables: valid loss mean: 0.853279 2019-11-13 09:26:27.856: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:26:28.522: INFO @log_profile : T train: 23.797967 2019-11-13 09:26:28.522: INFO @log_profile : T valid: 2.555442 2019-11-13 09:26:28.522: INFO @log_profile : T read data: 278.813722 2019-11-13 09:26:28.522: INFO @log_profile : T hooks: 1.965208 2019-11-13 09:26:28.522: INFO @main_loop : Epoch 196 done 2019-11-13 09:26:28.522: INFO @main_loop : Training epoch 197 2019-11-13 09:31:47.599: INFO @log_variables: train precision: 0.997792 2019-11-13 09:31:47.600: INFO @log_variables: train recall: 0.997787 2019-11-13 09:31:47.600: INFO @log_variables: train f1: 0.997790 2019-11-13 09:31:47.600: INFO @log_variables: train accuracy mean: 0.997863 2019-11-13 09:31:47.600: INFO @log_variables: train loss mean: 0.005819 2019-11-13 09:31:47.600: INFO @log_variables: valid precision: 0.905702 2019-11-13 09:31:47.600: INFO @log_variables: valid recall: 0.901736 2019-11-13 09:31:47.600: INFO @log_variables: valid f1: 0.903565 2019-11-13 09:31:47.600: INFO @log_variables: valid accuracy mean: 0.907081 2019-11-13 09:31:47.600: INFO @log_variables: valid loss mean: 0.882639 2019-11-13 09:31:47.600: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:31:48.449: INFO @log_profile : T train: 24.272433 2019-11-13 09:31:48.449: INFO @log_profile : T valid: 2.511448 2019-11-13 09:31:48.449: INFO @log_profile : T read data: 291.076478 2019-11-13 09:31:48.449: INFO @log_profile : T hooks: 1.880256 2019-11-13 09:31:48.449: INFO @main_loop : Epoch 197 done 2019-11-13 09:31:48.449: INFO @main_loop : Training epoch 198 2019-11-13 09:37:00.760: INFO @log_variables: train precision: 0.998933 2019-11-13 09:37:00.760: INFO @log_variables: train recall: 0.998948 2019-11-13 09:37:00.760: INFO @log_variables: train f1: 0.998941 2019-11-13 09:37:00.760: INFO @log_variables: train accuracy mean: 0.998976 2019-11-13 09:37:00.760: INFO @log_variables: train loss mean: 0.003047 2019-11-13 09:37:00.760: INFO @log_variables: valid precision: 0.905865 2019-11-13 09:37:00.761: INFO @log_variables: valid recall: 0.899583 2019-11-13 09:37:00.761: INFO @log_variables: valid f1: 0.902362 2019-11-13 09:37:00.761: INFO @log_variables: valid accuracy mean: 0.906171 2019-11-13 09:37:00.761: INFO @log_variables: valid loss mean: 0.991702 2019-11-13 09:37:00.761: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:37:01.454: INFO @log_profile : T train: 24.423729 2019-11-13 09:37:01.454: INFO @log_profile : T valid: 2.498266 2019-11-13 09:37:01.454: INFO @log_profile : T read data: 284.161902 2019-11-13 09:37:01.455: INFO @log_profile : T hooks: 1.740174 2019-11-13 09:37:01.455: INFO @main_loop : Epoch 198 done 2019-11-13 09:37:01.455: INFO @main_loop : Training epoch 199 2019-11-13 09:42:12.262: INFO @log_variables: train precision: 0.998415 2019-11-13 09:42:12.262: INFO @log_variables: train recall: 0.998420 2019-11-13 09:42:12.262: INFO @log_variables: train f1: 0.998417 2019-11-13 09:42:12.262: INFO @log_variables: train accuracy mean: 0.998470 2019-11-13 09:42:12.262: INFO @log_variables: train loss mean: 0.004584 2019-11-13 09:42:12.262: INFO @log_variables: valid precision: 0.901440 2019-11-13 09:42:12.262: INFO @log_variables: valid recall: 0.906531 2019-11-13 09:42:12.262: INFO @log_variables: valid f1: 0.903625 2019-11-13 09:42:12.262: INFO @log_variables: valid accuracy mean: 0.906070 2019-11-13 09:42:12.262: INFO @log_variables: valid loss mean: 1.050018 2019-11-13 09:42:12.262: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:42:12.941: INFO @log_profile : T train: 23.668894 2019-11-13 09:42:12.941: INFO @log_profile : T valid: 2.485195 2019-11-13 09:42:12.941: INFO @log_profile : T read data: 283.427673 2019-11-13 09:42:12.941: INFO @log_profile : T hooks: 1.723885 2019-11-13 09:42:12.941: INFO @main_loop : Epoch 199 done 2019-11-13 09:42:12.941: INFO @main_loop : Training epoch 200 2019-11-13 09:47:22.001: INFO @log_variables: train precision: 0.998156 2019-11-13 09:47:22.001: INFO @log_variables: train recall: 0.998208 2019-11-13 09:47:22.002: INFO @log_variables: train f1: 0.998182 2019-11-13 09:47:22.002: INFO @log_variables: train accuracy mean: 0.998242 2019-11-13 09:47:22.002: INFO @log_variables: train loss mean: 0.005538 2019-11-13 09:47:22.002: INFO @log_variables: valid precision: 0.905940 2019-11-13 09:47:22.002: INFO @log_variables: valid recall: 0.900040 2019-11-13 09:47:22.002: INFO @log_variables: valid f1: 0.902667 2019-11-13 09:47:22.002: INFO @log_variables: valid accuracy mean: 0.906424 2019-11-13 09:47:22.002: INFO @log_variables: valid loss mean: 0.917789 2019-11-13 09:47:22.002: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson 2019-11-13 09:47:22.002: INFO @stop_after : EpochStopperHook triggered 2019-11-13 09:47:22.688: INFO @log_profile : T train: 24.361936 2019-11-13 09:47:22.688: INFO @log_profile : T valid: 2.465488 2019-11-13 09:47:22.688: INFO @log_profile : T read data: 281.006600 2019-11-13 09:47:22.688: INFO @log_profile : T hooks: 1.732813 2019-11-13 09:47:22.688: INFO @main_loop : Training terminated: Training terminated after epoch 200 2019-11-13 09:47:22.688: INFO @log_dir : Output dir: ./log/HeadPoseBaseline_determined-jackson