|
- 2022-02-12 10:11:13,784 - G:/naic_csi_2021/tasks/train.py[line:114] - INFO: (8000, 2, 126, 128)
- 2022-02-12 10:11:15,037 - G:/naic_csi_2021/tasks/train.py[line:119] - INFO: (2000, 2, 126, 128)
- 2022-02-12 10:11:15,049 - G:/naic_csi_2021/tasks/train.py[line:161] - INFO: start train
- 2022-02-12 10:11:16,252 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:11:16,252 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 0
- 2022-02-12 10:11:17,045 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 241.702164 Loss2 0.144042
- 2022-02-12 10:11:32,603 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=2.451090, best_loss=1.000000
- 2022-02-12 10:11:33,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=206.736376, best_loss=1.000000
- 2022-02-12 10:11:33,681 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 17.42864751815796s
- 2022-02-12 10:11:33,681 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:11:33,681 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:11:33,681 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 1
- 2022-02-12 10:11:33,800 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 2.451109 Loss2 1.865968
- 2022-02-12 10:11:49,389 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.254548, best_loss=1.000000
- 2022-02-12 10:11:50,460 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=176.272901, best_loss=1.000000
- 2022-02-12 10:11:50,461 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.779998302459717s
- 2022-02-12 10:11:50,461 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:11:50,461 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:11:50,461 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 2
- 2022-02-12 10:11:50,571 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.252930 Loss2 0.227047
- 2022-02-12 10:12:06,364 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.094047, best_loss=1.000000
- 2022-02-12 10:12:07,427 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=148.182372, best_loss=1.000000
- 2022-02-12 10:12:07,428 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.96699810028076s
- 2022-02-12 10:12:07,428 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:12:07,428 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:12:07,428 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 3
- 2022-02-12 10:12:07,544 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.094950 Loss2 0.025812
- 2022-02-12 10:12:23,189 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.026631, best_loss=1.000000
- 2022-02-12 10:12:24,241 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=122.294628, best_loss=1.000000
- 2022-02-12 10:12:24,242 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.81350326538086s
- 2022-02-12 10:12:24,242 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:12:24,242 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:12:24,242 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 4
- 2022-02-12 10:12:24,358 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.026735 Loss2 0.014708
- 2022-02-12 10:12:39,843 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.013240, best_loss=1.000000
- 2022-02-12 10:12:40,915 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=98.552285, best_loss=1.000000
- 2022-02-12 10:12:40,916 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67449927330017s
- 2022-02-12 10:12:40,916 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:12:40,916 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:12:40,916 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 5
- 2022-02-12 10:12:41,025 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.013746 Loss2 0.008610
- 2022-02-12 10:12:56,268 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.021469, best_loss=1.000000
- 2022-02-12 10:12:57,338 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=78.954980, best_loss=1.000000
- 2022-02-12 10:12:57,338 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42199945449829s
- 2022-02-12 10:12:57,338 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:12:57,339 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:12:57,339 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 6
- 2022-02-12 10:12:57,447 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.021202 Loss2 0.120743
- 2022-02-12 10:13:12,742 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.003210, best_loss=1.000000
- 2022-02-12 10:13:13,813 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=62.958321, best_loss=1.000000
- 2022-02-12 10:13:13,813 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.47450017929077s
- 2022-02-12 10:13:13,813 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:13:13,813 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:13:13,813 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 7
- 2022-02-12 10:13:13,925 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 1.013412 Loss2 0.134557
- 2022-02-12 10:13:29,192 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.959232, best_loss=1.000000
- 2022-02-12 10:13:29,218 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:13:30,279 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=49.010298, best_loss=1.000000
- 2022-02-12 10:13:30,280 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.466499090194702s
- 2022-02-12 10:13:30,280 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:13:30,280 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:13:30,280 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 8
- 2022-02-12 10:13:30,388 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.992615 Loss2 0.113168
- 2022-02-12 10:13:45,731 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.904547, best_loss=0.959232
- 2022-02-12 10:13:45,759 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:13:46,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=36.767361, best_loss=1.000000
- 2022-02-12 10:13:46,841 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.56100082397461s
- 2022-02-12 10:13:46,841 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:13:46,841 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:13:46,841 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 9
- 2022-02-12 10:13:46,945 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.950426 Loss2 0.111245
- 2022-02-12 10:14:02,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.858104, best_loss=0.904547
- 2022-02-12 10:14:02,376 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:14:03,456 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=27.645756, best_loss=1.000000
- 2022-02-12 10:14:03,457 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.615999460220337s
- 2022-02-12 10:14:03,457 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:14:03,457 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:14:03,457 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 10
- 2022-02-12 10:14:03,578 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.910048 Loss2 0.122463
- 2022-02-12 10:14:18,980 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.809108, best_loss=0.858104
- 2022-02-12 10:14:19,007 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:14:20,075 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=21.149519, best_loss=1.000000
- 2022-02-12 10:14:20,076 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.618999481201172s
- 2022-02-12 10:14:20,076 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:14:20,076 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:14:20,076 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 11
- 2022-02-12 10:14:20,186 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.868497 Loss2 0.145970
- 2022-02-12 10:14:35,398 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.756817, best_loss=0.809108
- 2022-02-12 10:14:35,428 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:14:36,494 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=16.107142, best_loss=1.000000
- 2022-02-12 10:14:36,494 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.418001413345337s
- 2022-02-12 10:14:36,494 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:14:36,494 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:14:36,494 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 12
- 2022-02-12 10:14:36,605 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.788780 Loss2 0.170675
- 2022-02-12 10:14:51,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.710924, best_loss=0.756817
- 2022-02-12 10:14:51,897 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:14:52,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=12.367714, best_loss=1.000000
- 2022-02-12 10:14:52,975 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.480998992919922s
- 2022-02-12 10:14:52,975 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:14:52,975 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:14:52,975 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 13
- 2022-02-12 10:14:53,091 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.732571 Loss2 0.214121
- 2022-02-12 10:15:08,330 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.685607, best_loss=0.710924
- 2022-02-12 10:15:08,356 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:15:09,426 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=9.614555, best_loss=1.000000
- 2022-02-12 10:15:09,427 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.451500415802002s
- 2022-02-12 10:15:09,427 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:15:09,427 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:15:09,427 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 14
- 2022-02-12 10:15:09,539 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.737262 Loss2 0.239454
- 2022-02-12 10:15:24,733 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.664509, best_loss=0.685607
- 2022-02-12 10:15:24,763 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:15:25,824 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=7.551165, best_loss=1.000000
- 2022-02-12 10:15:25,824 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39699959754944s
- 2022-02-12 10:15:25,824 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:15:25,824 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:15:25,824 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 15
- 2022-02-12 10:15:25,930 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.735295 Loss2 0.229288
- 2022-02-12 10:15:41,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.648148, best_loss=0.664509
- 2022-02-12 10:15:41,251 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:15:42,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=5.987208, best_loss=1.000000
- 2022-02-12 10:15:42,329 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.504501342773438s
- 2022-02-12 10:15:42,329 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:15:42,329 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:15:42,329 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 16
- 2022-02-12 10:15:42,437 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.726134 Loss2 0.256899
- 2022-02-12 10:15:57,684 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.624708, best_loss=0.648148
- 2022-02-12 10:15:57,713 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:15:58,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=4.809115, best_loss=1.000000
- 2022-02-12 10:15:58,787 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.457998991012573s
- 2022-02-12 10:15:58,787 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:15:58,787 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:15:58,787 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 17
- 2022-02-12 10:15:58,904 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.676294 Loss2 0.262535
- 2022-02-12 10:16:14,344 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.610666, best_loss=0.624708
- 2022-02-12 10:16:14,373 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:16:15,443 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=3.919652, best_loss=1.000000
- 2022-02-12 10:16:15,444 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.657001495361328s
- 2022-02-12 10:16:15,444 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:16:15,444 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:16:15,444 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 18
- 2022-02-12 10:16:15,558 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.704594 Loss2 0.247618
- 2022-02-12 10:16:30,896 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.595905, best_loss=0.610666
- 2022-02-12 10:16:30,926 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:16:31,998 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=3.247920, best_loss=1.000000
- 2022-02-12 10:16:31,999 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.554500102996826s
- 2022-02-12 10:16:31,999 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:16:31,999 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:16:31,999 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 19
- 2022-02-12 10:16:32,116 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.701085 Loss2 0.228413
- 2022-02-12 10:16:47,346 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.578422, best_loss=0.595905
- 2022-02-12 10:16:47,373 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:16:48,445 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=2.736773, best_loss=1.000000
- 2022-02-12 10:16:48,446 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.446499347686768s
- 2022-02-12 10:16:48,446 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:16:48,446 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:16:48,446 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 20
- 2022-02-12 10:16:48,568 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.645086 Loss2 0.238857
- 2022-02-12 10:17:03,937 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.567322, best_loss=0.578422
- 2022-02-12 10:17:03,965 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:17:05,048 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=2.343386, best_loss=1.000000
- 2022-02-12 10:17:05,048 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60199999809265s
- 2022-02-12 10:17:05,048 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:17:05,048 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:17:05,049 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 21
- 2022-02-12 10:17:05,164 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.603284 Loss2 0.265894
- 2022-02-12 10:17:20,412 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.550888, best_loss=0.567322
- 2022-02-12 10:17:20,440 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:17:21,519 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=2.039031, best_loss=1.000000
- 2022-02-12 10:17:21,519 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.47049856185913s
- 2022-02-12 10:17:21,519 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:17:21,519 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:17:21,520 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 22
- 2022-02-12 10:17:21,636 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.558546 Loss2 0.283775
- 2022-02-12 10:17:36,838 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.536514, best_loss=0.550888
- 2022-02-12 10:17:36,867 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:17:37,940 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.800166, best_loss=1.000000
- 2022-02-12 10:17:37,940 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.420502185821533s
- 2022-02-12 10:17:37,940 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:17:37,940 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:17:37,940 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 23
- 2022-02-12 10:17:38,052 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.551163 Loss2 0.302758
- 2022-02-12 10:17:53,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.519769, best_loss=0.536514
- 2022-02-12 10:17:53,287 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:17:54,377 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.611363, best_loss=1.000000
- 2022-02-12 10:17:54,378 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.437498331069946s
- 2022-02-12 10:17:54,378 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:17:54,378 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:17:54,378 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 24
- 2022-02-12 10:17:54,485 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.601699 Loss2 0.262758
- 2022-02-12 10:18:09,814 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.513667, best_loss=0.519769
- 2022-02-12 10:18:09,843 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:18:10,910 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.461792, best_loss=1.000000
- 2022-02-12 10:18:10,911 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5330011844635s
- 2022-02-12 10:18:10,911 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:18:10,911 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:18:10,911 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 25
- 2022-02-12 10:18:11,022 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.536194 Loss2 0.294917
- 2022-02-12 10:18:25,895 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.502614, best_loss=0.513667
- 2022-02-12 10:18:25,924 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:18:27,003 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.342307, best_loss=1.000000
- 2022-02-12 10:18:27,003 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.09250020980835s
- 2022-02-12 10:18:27,003 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:18:27,003 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:18:27,003 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 26
- 2022-02-12 10:18:27,119 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.586280 Loss2 0.285015
- 2022-02-12 10:18:41,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.492743, best_loss=0.502614
- 2022-02-12 10:18:41,837 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:18:42,890 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.245845, best_loss=1.000000
- 2022-02-12 10:18:42,891 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.887500047683716s
- 2022-02-12 10:18:42,891 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:18:42,891 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:18:42,891 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 27
- 2022-02-12 10:18:43,007 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.518011 Loss2 0.315425
- 2022-02-12 10:18:57,878 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.482042, best_loss=0.492743
- 2022-02-12 10:18:57,907 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:18:58,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.166594, best_loss=1.000000
- 2022-02-12 10:18:58,965 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.073999881744385s
- 2022-02-12 10:18:58,965 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:18:58,965 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:18:58,965 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 28
- 2022-02-12 10:18:59,084 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.555895 Loss2 0.279484
- 2022-02-12 10:19:13,978 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.474093, best_loss=0.482042
- 2022-02-12 10:19:14,005 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:19:15,033 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.100547, best_loss=1.000000
- 2022-02-12 10:19:15,034 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.068497896194458s
- 2022-02-12 10:19:15,034 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:19:15,034 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:19:15,034 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 29
- 2022-02-12 10:19:15,138 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.507955 Loss2 0.303531
- 2022-02-12 10:19:29,928 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.468877, best_loss=0.474093
- 2022-02-12 10:19:29,956 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:19:31,021 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.044104, best_loss=1.000000
- 2022-02-12 10:19:31,022 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.988001585006714s
- 2022-02-12 10:19:31,022 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:19:31,022 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:19:31,022 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 30
- 2022-02-12 10:19:31,133 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.479036 Loss2 0.292398
- 2022-02-12 10:19:46,042 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.676735, best_loss=0.468877
- 2022-02-12 10:19:47,093 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.995304, best_loss=1.000000
- 2022-02-12 10:19:47,119 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:19:47,120 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.09749960899353s
- 2022-02-12 10:19:47,120 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:19:47,120 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:19:47,120 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 31
- 2022-02-12 10:19:47,243 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.758328 Loss2 0.350499
- 2022-02-12 10:20:02,173 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.485755, best_loss=0.468877
- 2022-02-12 10:20:03,212 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.949690, best_loss=0.995304
- 2022-02-12 10:20:03,239 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:20:03,239 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.118999242782593s
- 2022-02-12 10:20:03,239 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:20:03,239 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:20:03,239 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 32
- 2022-02-12 10:20:03,348 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.568513 Loss2 0.278796
- 2022-02-12 10:20:18,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.462911, best_loss=0.468877
- 2022-02-12 10:20:18,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:20:19,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.923572, best_loss=0.949690
- 2022-02-12 10:20:19,343 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:20:19,343 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.103999614715576s
- 2022-02-12 10:20:19,343 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:20:19,343 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:20:19,343 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 33
- 2022-02-12 10:20:19,466 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.529306 Loss2 0.310292
- 2022-02-12 10:20:34,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.451924, best_loss=0.462911
- 2022-02-12 10:20:34,193 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:20:35,230 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.935613, best_loss=0.923572
- 2022-02-12 10:20:35,230 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.887002229690552s
- 2022-02-12 10:20:35,230 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:20:35,230 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:20:35,230 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 34
- 2022-02-12 10:20:35,347 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.484788 Loss2 0.294280
- 2022-02-12 10:20:50,262 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.441578, best_loss=0.451924
- 2022-02-12 10:20:50,290 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:20:51,373 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.957866, best_loss=0.923572
- 2022-02-12 10:20:51,374 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.143500804901123s
- 2022-02-12 10:20:51,374 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:20:51,374 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:20:51,374 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 35
- 2022-02-12 10:20:51,487 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.508091 Loss2 0.311754
- 2022-02-12 10:21:06,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.436234, best_loss=0.441578
- 2022-02-12 10:21:06,572 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:21:07,646 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.985618, best_loss=0.923572
- 2022-02-12 10:21:07,646 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.272003412246704s
- 2022-02-12 10:21:07,646 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:21:07,646 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:21:07,646 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 36
- 2022-02-12 10:21:07,759 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.503635 Loss2 0.316009
- 2022-02-12 10:21:22,734 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.435015, best_loss=0.436234
- 2022-02-12 10:21:22,762 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:21:23,843 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.972613, best_loss=0.923572
- 2022-02-12 10:21:23,843 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1969952583313s
- 2022-02-12 10:21:23,843 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:21:23,844 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:21:23,844 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 37
- 2022-02-12 10:21:23,951 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.519845 Loss2 0.290801
- 2022-02-12 10:21:38,858 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.424507, best_loss=0.435015
- 2022-02-12 10:21:38,885 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:21:39,976 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.027611, best_loss=0.923572
- 2022-02-12 10:21:39,977 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.133000373840332s
- 2022-02-12 10:21:39,977 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:21:39,977 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:21:39,977 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 38
- 2022-02-12 10:21:40,099 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.424712 Loss2 0.304546
- 2022-02-12 10:21:54,941 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.417271, best_loss=0.424507
- 2022-02-12 10:21:54,967 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:21:56,004 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.073799, best_loss=0.923572
- 2022-02-12 10:21:56,005 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.02803134918213s
- 2022-02-12 10:21:56,005 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:21:56,005 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:21:56,005 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 39
- 2022-02-12 10:21:56,119 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.474563 Loss2 0.316091
- 2022-02-12 10:22:11,196 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.414276, best_loss=0.417271
- 2022-02-12 10:22:11,224 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:22:12,300 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.122411, best_loss=0.923572
- 2022-02-12 10:22:12,300 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.29546809196472s
- 2022-02-12 10:22:12,300 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:22:12,300 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:22:12,300 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 40
- 2022-02-12 10:22:12,417 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.429316 Loss2 0.330388
- 2022-02-12 10:22:27,216 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.409061, best_loss=0.414276
- 2022-02-12 10:22:27,244 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:22:28,340 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.155225, best_loss=0.923572
- 2022-02-12 10:22:28,340 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.040000915527344s
- 2022-02-12 10:22:28,340 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:22:28,340 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:22:28,341 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 41
- 2022-02-12 10:22:28,453 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.463897 Loss2 0.357429
- 2022-02-12 10:22:43,264 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.403206, best_loss=0.409061
- 2022-02-12 10:22:43,292 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:22:44,362 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=1.112234, best_loss=0.923572
- 2022-02-12 10:22:44,362 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.021500825881958s
- 2022-02-12 10:22:44,362 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:22:44,362 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:22:44,362 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 42
- 2022-02-12 10:22:44,486 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.456494 Loss2 0.352443
- 2022-02-12 10:22:59,454 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.399217, best_loss=0.403206
- 2022-02-12 10:22:59,482 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:00,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.987068, best_loss=0.923572
- 2022-02-12 10:23:00,555 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.191999673843384s
- 2022-02-12 10:23:00,555 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:23:00,555 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:23:00,555 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 43
- 2022-02-12 10:23:00,658 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.449171 Loss2 0.310504
- 2022-02-12 10:23:15,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.394604, best_loss=0.399217
- 2022-02-12 10:23:15,471 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:16,496 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.878512, best_loss=0.923572
- 2022-02-12 10:23:16,522 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:16,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.96749997138977s
- 2022-02-12 10:23:16,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:23:16,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:23:16,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 44
- 2022-02-12 10:23:16,638 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.498122 Loss2 0.331262
- 2022-02-12 10:23:31,718 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.390676, best_loss=0.394604
- 2022-02-12 10:23:31,745 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:32,823 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.817234, best_loss=0.878512
- 2022-02-12 10:23:32,851 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:32,852 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.32900094985962s
- 2022-02-12 10:23:32,852 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:23:32,852 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:23:32,852 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 45
- 2022-02-12 10:23:32,958 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.450228 Loss2 0.368229
- 2022-02-12 10:23:47,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.383548, best_loss=0.390676
- 2022-02-12 10:23:47,881 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:48,960 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.778457, best_loss=0.817234
- 2022-02-12 10:23:48,987 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:23:48,988 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.136000633239746s
- 2022-02-12 10:23:48,988 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:23:48,988 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:23:48,988 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 46
- 2022-02-12 10:23:49,108 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.357651 Loss2 0.318706
- 2022-02-12 10:24:03,982 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.381651, best_loss=0.383548
- 2022-02-12 10:24:04,012 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:05,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.746329, best_loss=0.778457
- 2022-02-12 10:24:05,118 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:05,119 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.130499362945557s
- 2022-02-12 10:24:05,119 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:24:05,119 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:24:05,119 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 47
- 2022-02-12 10:24:05,238 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.419963 Loss2 0.302068
- 2022-02-12 10:24:20,061 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.374771, best_loss=0.381651
- 2022-02-12 10:24:20,087 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:21,167 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.709293, best_loss=0.746329
- 2022-02-12 10:24:21,197 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:21,197 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.07849955558777s
- 2022-02-12 10:24:21,198 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:24:21,198 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:24:21,198 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 48
- 2022-02-12 10:24:21,317 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.408984 Loss2 0.353795
- 2022-02-12 10:24:36,072 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.371837, best_loss=0.374771
- 2022-02-12 10:24:36,099 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:37,193 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.663362, best_loss=0.709293
- 2022-02-12 10:24:37,221 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:37,221 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.023501873016357s
- 2022-02-12 10:24:37,222 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:24:37,222 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:24:37,222 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 49
- 2022-02-12 10:24:37,344 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.429076 Loss2 0.393230
- 2022-02-12 10:24:52,283 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.367899, best_loss=0.371837
- 2022-02-12 10:24:52,310 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:53,344 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.621792, best_loss=0.663362
- 2022-02-12 10:24:53,375 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:24:53,376 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15397357940674s
- 2022-02-12 10:24:53,376 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:24:53,376 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:24:53,376 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 50
- 2022-02-12 10:24:53,483 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.441856 Loss2 0.357252
- 2022-02-12 10:25:08,392 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.363518, best_loss=0.367899
- 2022-02-12 10:25:08,420 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:09,497 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.591432, best_loss=0.621792
- 2022-02-12 10:25:09,527 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:09,527 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15150022506714s
- 2022-02-12 10:25:09,527 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:25:09,527 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:25:09,527 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 51
- 2022-02-12 10:25:09,653 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.418891 Loss2 0.342193
- 2022-02-12 10:25:24,430 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.358026, best_loss=0.363518
- 2022-02-12 10:25:24,458 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:25,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.569931, best_loss=0.591432
- 2022-02-12 10:25:25,573 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:25,573 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.046000957489014s
- 2022-02-12 10:25:25,573 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:25:25,573 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:25:25,573 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 52
- 2022-02-12 10:25:25,683 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.414418 Loss2 0.344824
- 2022-02-12 10:25:40,504 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.356349, best_loss=0.358026
- 2022-02-12 10:25:40,531 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:41,584 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.552292, best_loss=0.569931
- 2022-02-12 10:25:41,611 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:41,612 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.0385000705719s
- 2022-02-12 10:25:41,612 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:25:41,612 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:25:41,612 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 53
- 2022-02-12 10:25:41,722 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.409082 Loss2 0.342344
- 2022-02-12 10:25:56,555 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.353268, best_loss=0.356349
- 2022-02-12 10:25:56,583 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:57,656 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.536762, best_loss=0.552292
- 2022-02-12 10:25:57,685 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:25:57,686 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.073498249053955s
- 2022-02-12 10:25:57,686 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:25:57,686 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:25:57,686 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 54
- 2022-02-12 10:25:57,796 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.434698 Loss2 0.349226
- 2022-02-12 10:26:12,799 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.349965, best_loss=0.353268
- 2022-02-12 10:26:12,825 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:26:13,903 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.523047, best_loss=0.536762
- 2022-02-12 10:26:13,931 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:26:13,932 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.246000289916992s
- 2022-02-12 10:26:13,932 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:26:13,932 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:26:13,932 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 55
- 2022-02-12 10:26:14,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.362556 Loss2 0.355993
- 2022-02-12 10:26:29,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.347769, best_loss=0.349965
- 2022-02-12 10:26:29,082 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:26:30,162 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.510989, best_loss=0.523047
- 2022-02-12 10:26:30,193 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:26:30,194 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.261502742767334s
- 2022-02-12 10:26:30,194 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:26:30,194 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:26:30,194 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 56
- 2022-02-12 10:26:30,306 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.392327 Loss2 0.308369
- 2022-02-12 10:26:45,113 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.349398, best_loss=0.347769
- 2022-02-12 10:26:46,177 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.501004, best_loss=0.510989
- 2022-02-12 10:26:46,207 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:26:46,208 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.013999700546265s
- 2022-02-12 10:26:46,208 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:26:46,208 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:26:46,208 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 57
- 2022-02-12 10:26:46,319 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.392139 Loss2 0.337693
- 2022-02-12 10:27:01,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.345084, best_loss=0.347769
- 2022-02-12 10:27:01,253 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:02,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.494493, best_loss=0.501004
- 2022-02-12 10:27:02,361 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:02,362 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.153998851776123s
- 2022-02-12 10:27:02,362 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:27:02,362 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:27:02,362 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 58
- 2022-02-12 10:27:02,469 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.396305 Loss2 0.373359
- 2022-02-12 10:27:17,429 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.343766, best_loss=0.345084
- 2022-02-12 10:27:17,457 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:18,476 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.491529, best_loss=0.494493
- 2022-02-12 10:27:18,502 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:18,502 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.140002727508545s
- 2022-02-12 10:27:18,502 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:27:18,502 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:27:18,503 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 59
- 2022-02-12 10:27:18,626 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.385145 Loss2 0.379334
- 2022-02-12 10:27:33,489 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.343838, best_loss=0.343766
- 2022-02-12 10:27:34,565 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.481928, best_loss=0.491529
- 2022-02-12 10:27:34,592 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:34,592 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08946990966797s
- 2022-02-12 10:27:34,592 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:27:34,592 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:27:34,592 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 60
- 2022-02-12 10:27:34,701 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.340033 Loss2 0.370767
- 2022-02-12 10:27:49,693 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.338313, best_loss=0.343766
- 2022-02-12 10:27:49,722 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:50,782 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.465682, best_loss=0.481928
- 2022-02-12 10:27:50,811 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:27:50,812 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.219500303268433s
- 2022-02-12 10:27:50,812 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:27:50,812 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:27:50,812 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 61
- 2022-02-12 10:27:50,941 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.384662 Loss2 0.315896
- 2022-02-12 10:28:05,747 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.335873, best_loss=0.338313
- 2022-02-12 10:28:05,776 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:06,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.450083, best_loss=0.465682
- 2022-02-12 10:28:06,838 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:06,839 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.0264995098114s
- 2022-02-12 10:28:06,839 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:28:06,839 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:28:06,839 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 62
- 2022-02-12 10:28:06,953 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.357379 Loss2 0.355405
- 2022-02-12 10:28:21,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.335707, best_loss=0.335873
- 2022-02-12 10:28:21,823 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:22,903 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.437936, best_loss=0.450083
- 2022-02-12 10:28:22,930 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:22,930 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.091500759124756s
- 2022-02-12 10:28:22,930 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:28:22,930 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:28:22,930 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 63
- 2022-02-12 10:28:23,046 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.388890 Loss2 0.372621
- 2022-02-12 10:28:37,939 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.335238, best_loss=0.335707
- 2022-02-12 10:28:37,966 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:39,015 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.428395, best_loss=0.437936
- 2022-02-12 10:28:39,044 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:39,045 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.115000009536743s
- 2022-02-12 10:28:39,045 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:28:39,045 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:28:39,045 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 64
- 2022-02-12 10:28:39,165 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.348458 Loss2 0.392099
- 2022-02-12 10:28:54,061 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.333498, best_loss=0.335238
- 2022-02-12 10:28:54,089 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:55,181 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.419882, best_loss=0.428395
- 2022-02-12 10:28:55,211 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:28:55,211 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16599988937378s
- 2022-02-12 10:28:55,211 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:28:55,211 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:28:55,211 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 65
- 2022-02-12 10:28:55,334 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.359704 Loss2 0.378098
- 2022-02-12 10:29:10,246 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.333562, best_loss=0.333498
- 2022-02-12 10:29:11,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.412118, best_loss=0.419882
- 2022-02-12 10:29:11,341 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:11,342 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13002610206604s
- 2022-02-12 10:29:11,342 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:29:11,342 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:29:11,342 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 66
- 2022-02-12 10:29:11,473 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.387892 Loss2 0.330916
- 2022-02-12 10:29:26,403 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.330730, best_loss=0.333498
- 2022-02-12 10:29:26,428 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:27,500 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.405104, best_loss=0.412118
- 2022-02-12 10:29:27,528 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:27,528 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18597412109375s
- 2022-02-12 10:29:27,529 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:29:27,529 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:29:27,529 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 67
- 2022-02-12 10:29:27,635 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.334451 Loss2 0.353305
- 2022-02-12 10:29:42,488 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.328640, best_loss=0.330730
- 2022-02-12 10:29:42,516 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:43,598 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.398249, best_loss=0.405104
- 2022-02-12 10:29:43,627 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:43,628 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.099501132965088s
- 2022-02-12 10:29:43,628 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:29:43,628 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:29:43,628 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 68
- 2022-02-12 10:29:43,739 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.333812 Loss2 0.364739
- 2022-02-12 10:29:58,635 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.328095, best_loss=0.328640
- 2022-02-12 10:29:58,664 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:59,748 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.391756, best_loss=0.398249
- 2022-02-12 10:29:59,774 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:29:59,775 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1465003490448s
- 2022-02-12 10:29:59,775 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:29:59,775 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:29:59,775 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 69
- 2022-02-12 10:29:59,898 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.353084 Loss2 0.361072
- 2022-02-12 10:30:14,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.327114, best_loss=0.328095
- 2022-02-12 10:30:14,659 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:15,731 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.385650, best_loss=0.391756
- 2022-02-12 10:30:15,757 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:15,758 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.982498168945312s
- 2022-02-12 10:30:15,758 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:30:15,758 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:30:15,758 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 70
- 2022-02-12 10:30:15,878 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.348426 Loss2 0.354337
- 2022-02-12 10:30:30,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.325950, best_loss=0.327114
- 2022-02-12 10:30:30,650 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:31,723 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.380054, best_loss=0.385650
- 2022-02-12 10:30:31,750 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:31,751 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.992500305175781s
- 2022-02-12 10:30:31,751 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:30:31,751 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:30:31,751 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 71
- 2022-02-12 10:30:31,864 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.326891 Loss2 0.321530
- 2022-02-12 10:30:46,690 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.325442, best_loss=0.325950
- 2022-02-12 10:30:46,718 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:47,789 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.374818, best_loss=0.380054
- 2022-02-12 10:30:47,815 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:30:47,816 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.064499139785767s
- 2022-02-12 10:30:47,816 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:30:47,816 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:30:47,816 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 72
- 2022-02-12 10:30:47,933 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.313104 Loss2 0.370605
- 2022-02-12 10:31:02,677 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.322041, best_loss=0.325442
- 2022-02-12 10:31:02,704 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:03,773 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.370047, best_loss=0.374818
- 2022-02-12 10:31:03,800 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:03,800 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.984500169754028s
- 2022-02-12 10:31:03,800 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:31:03,800 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:31:03,800 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 73
- 2022-02-12 10:31:03,909 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.385879 Loss2 0.327649
- 2022-02-12 10:31:18,629 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.320918, best_loss=0.322041
- 2022-02-12 10:31:18,657 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:19,731 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.365709, best_loss=0.370047
- 2022-02-12 10:31:19,763 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:19,764 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.963501453399658s
- 2022-02-12 10:31:19,764 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:31:19,764 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:31:19,764 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 74
- 2022-02-12 10:31:19,883 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.320939 Loss2 0.349001
- 2022-02-12 10:31:34,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.319616, best_loss=0.320918
- 2022-02-12 10:31:34,724 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:35,815 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.361589, best_loss=0.365709
- 2022-02-12 10:31:35,842 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:35,843 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.078996419906616s
- 2022-02-12 10:31:35,843 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:31:35,843 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:31:35,843 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 75
- 2022-02-12 10:31:35,957 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.345562 Loss2 0.370939
- 2022-02-12 10:31:50,488 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.318061, best_loss=0.319616
- 2022-02-12 10:31:50,515 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:51,564 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.357535, best_loss=0.361589
- 2022-02-12 10:31:51,590 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:31:51,591 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.747502326965332s
- 2022-02-12 10:31:51,591 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:31:51,591 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:31:51,591 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 76
- 2022-02-12 10:31:51,707 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.367330 Loss2 0.334411
- 2022-02-12 10:32:06,888 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.317156, best_loss=0.318061
- 2022-02-12 10:32:06,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:07,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.353859, best_loss=0.357535
- 2022-02-12 10:32:08,027 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:08,028 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.436498641967773s
- 2022-02-12 10:32:08,028 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:32:08,028 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:32:08,028 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 77
- 2022-02-12 10:32:08,144 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.327558 Loss2 0.393832
- 2022-02-12 10:32:23,053 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.315777, best_loss=0.317156
- 2022-02-12 10:32:23,082 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:24,158 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.350440, best_loss=0.353859
- 2022-02-12 10:32:24,185 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:24,186 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15800166130066s
- 2022-02-12 10:32:24,186 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:32:24,186 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:32:24,186 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 78
- 2022-02-12 10:32:24,303 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.356782 Loss2 0.417889
- 2022-02-12 10:32:39,333 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.313463, best_loss=0.315777
- 2022-02-12 10:32:39,362 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:40,440 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.347274, best_loss=0.350440
- 2022-02-12 10:32:40,468 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:40,468 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.281999588012695s
- 2022-02-12 10:32:40,468 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:32:40,468 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:32:40,469 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 79
- 2022-02-12 10:32:40,573 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.297291 Loss2 0.358926
- 2022-02-12 10:32:55,599 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.312424, best_loss=0.313463
- 2022-02-12 10:32:55,627 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:56,700 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.344180, best_loss=0.347274
- 2022-02-12 10:32:56,730 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:32:56,730 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.261499166488647s
- 2022-02-12 10:32:56,731 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:32:56,731 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:32:56,731 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 80
- 2022-02-12 10:32:56,843 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.317019 Loss2 0.359207
- 2022-02-12 10:33:11,665 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.311510, best_loss=0.312424
- 2022-02-12 10:33:11,693 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:12,758 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.341332, best_loss=0.344180
- 2022-02-12 10:33:12,785 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:12,786 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05500102043152s
- 2022-02-12 10:33:12,786 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:33:12,786 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:33:12,786 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 81
- 2022-02-12 10:33:12,909 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.334089 Loss2 0.326484
- 2022-02-12 10:33:27,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.310146, best_loss=0.311510
- 2022-02-12 10:33:27,814 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:28,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.338580, best_loss=0.341332
- 2022-02-12 10:33:28,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:28,914 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.128002166748047s
- 2022-02-12 10:33:28,914 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:33:28,914 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:33:28,914 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 82
- 2022-02-12 10:33:29,022 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.384114 Loss2 0.363635
- 2022-02-12 10:33:43,790 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.307950, best_loss=0.310146
- 2022-02-12 10:33:43,819 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:44,902 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.336259, best_loss=0.338580
- 2022-02-12 10:33:44,931 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:33:44,931 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.016998767852783s
- 2022-02-12 10:33:44,931 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:33:44,931 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:33:44,931 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 83
- 2022-02-12 10:33:45,039 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.286851 Loss2 0.340963
- 2022-02-12 10:33:59,842 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.306120, best_loss=0.307950
- 2022-02-12 10:33:59,871 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:00,958 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.333779, best_loss=0.336259
- 2022-02-12 10:34:00,985 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:00,985 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.053499698638916s
- 2022-02-12 10:34:00,985 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:34:00,986 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:34:00,986 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 84
- 2022-02-12 10:34:01,093 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.318813 Loss2 0.379209
- 2022-02-12 10:34:15,946 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.308190, best_loss=0.306120
- 2022-02-12 10:34:16,991 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.331377, best_loss=0.333779
- 2022-02-12 10:34:17,019 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:17,019 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.033499002456665s
- 2022-02-12 10:34:17,019 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:34:17,019 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:34:17,019 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 85
- 2022-02-12 10:34:17,131 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.313782 Loss2 0.404237
- 2022-02-12 10:34:32,152 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.306673, best_loss=0.306120
- 2022-02-12 10:34:33,236 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.329011, best_loss=0.331377
- 2022-02-12 10:34:33,264 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:33,265 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24549961090088s
- 2022-02-12 10:34:33,265 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:34:33,265 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:34:33,265 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 86
- 2022-02-12 10:34:33,375 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.310837 Loss2 0.373629
- 2022-02-12 10:34:48,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.302028, best_loss=0.306120
- 2022-02-12 10:34:48,447 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:49,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.326700, best_loss=0.329011
- 2022-02-12 10:34:49,540 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:34:49,541 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27549719810486s
- 2022-02-12 10:34:49,541 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:34:49,541 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:34:49,541 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 87
- 2022-02-12 10:34:49,654 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.308252 Loss2 0.364057
- 2022-02-12 10:35:04,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.301366, best_loss=0.302028
- 2022-02-12 10:35:04,786 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:05,859 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.324515, best_loss=0.326700
- 2022-02-12 10:35:05,888 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:05,888 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34752631187439s
- 2022-02-12 10:35:05,888 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:35:05,888 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:35:05,888 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 88
- 2022-02-12 10:35:06,010 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.302736 Loss2 0.400922
- 2022-02-12 10:35:20,719 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.300082, best_loss=0.301366
- 2022-02-12 10:35:20,746 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:21,833 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.322487, best_loss=0.324515
- 2022-02-12 10:35:21,860 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:21,861 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.972475051879883s
- 2022-02-12 10:35:21,861 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:35:21,861 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:35:21,861 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 89
- 2022-02-12 10:35:21,978 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.305342 Loss2 0.385098
- 2022-02-12 10:35:36,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.298803, best_loss=0.300082
- 2022-02-12 10:35:37,023 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:38,098 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.320524, best_loss=0.322487
- 2022-02-12 10:35:38,125 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:38,126 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.264501571655273s
- 2022-02-12 10:35:38,126 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:35:38,126 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:35:38,126 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 90
- 2022-02-12 10:35:38,244 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.272703 Loss2 0.409296
- 2022-02-12 10:35:53,031 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.297316, best_loss=0.298803
- 2022-02-12 10:35:53,058 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:54,120 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.318718, best_loss=0.320524
- 2022-02-12 10:35:54,150 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:35:54,151 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.02446746826172s
- 2022-02-12 10:35:54,151 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:35:54,151 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:35:54,151 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 91
- 2022-02-12 10:35:54,266 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.311523 Loss2 0.396057
- 2022-02-12 10:36:09,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.295996, best_loss=0.297316
- 2022-02-12 10:36:09,038 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:10,114 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.316720, best_loss=0.318718
- 2022-02-12 10:36:10,141 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:10,141 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.990000486373901s
- 2022-02-12 10:36:10,141 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:36:10,142 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:36:10,142 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 92
- 2022-02-12 10:36:10,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.286249 Loss2 0.323648
- 2022-02-12 10:36:25,129 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.297524, best_loss=0.295996
- 2022-02-12 10:36:26,229 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.314689, best_loss=0.316720
- 2022-02-12 10:36:26,257 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:26,258 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.116002321243286s
- 2022-02-12 10:36:26,258 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:36:26,258 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:36:26,258 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 93
- 2022-02-12 10:36:26,384 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.285491 Loss2 0.366406
- 2022-02-12 10:36:41,183 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.294881, best_loss=0.295996
- 2022-02-12 10:36:41,209 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:42,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.312912, best_loss=0.314689
- 2022-02-12 10:36:42,277 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:42,278 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.019999742507935s
- 2022-02-12 10:36:42,278 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:36:42,278 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:36:42,278 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 94
- 2022-02-12 10:36:42,396 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.332136 Loss2 0.393573
- 2022-02-12 10:36:57,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.292667, best_loss=0.294881
- 2022-02-12 10:36:57,249 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:58,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.311105, best_loss=0.312912
- 2022-02-12 10:36:58,376 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:36:58,376 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.09802556037903s
- 2022-02-12 10:36:58,376 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:36:58,376 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:36:58,376 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 95
- 2022-02-12 10:36:58,489 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.304283 Loss2 0.355172
- 2022-02-12 10:37:13,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.292797, best_loss=0.292667
- 2022-02-12 10:37:14,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.309402, best_loss=0.311105
- 2022-02-12 10:37:14,435 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:37:14,436 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.059000730514526s
- 2022-02-12 10:37:14,436 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:37:14,436 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:37:14,436 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 96
- 2022-02-12 10:37:14,546 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.278020 Loss2 0.344221
- 2022-02-12 10:37:29,412 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.292325, best_loss=0.292667
- 2022-02-12 10:37:29,439 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:37:30,515 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.307626, best_loss=0.309402
- 2022-02-12 10:37:30,543 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:37:30,543 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.107497930526733s
- 2022-02-12 10:37:30,543 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:37:30,543 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:37:30,543 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 97
- 2022-02-12 10:37:30,660 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.306365 Loss2 0.376536
- 2022-02-12 10:37:45,397 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.289681, best_loss=0.292325
- 2022-02-12 10:37:45,424 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:37:46,494 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.305893, best_loss=0.307626
- 2022-02-12 10:37:46,522 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:37:46,522 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.979001522064209s
- 2022-02-12 10:37:46,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:37:46,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:37:46,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 98
- 2022-02-12 10:37:46,630 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.305390 Loss2 0.358665
- 2022-02-12 10:38:01,461 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.289532, best_loss=0.289681
- 2022-02-12 10:38:01,488 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:02,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.304058, best_loss=0.305893
- 2022-02-12 10:38:02,583 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:02,584 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.06100368499756s
- 2022-02-12 10:38:02,584 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:38:02,584 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:38:02,584 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 99
- 2022-02-12 10:38:02,691 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.336827 Loss2 0.358276
- 2022-02-12 10:38:17,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.287713, best_loss=0.289532
- 2022-02-12 10:38:17,708 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:18,781 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.302337, best_loss=0.304058
- 2022-02-12 10:38:18,808 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:18,809 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2249972820282s
- 2022-02-12 10:38:18,809 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:38:18,809 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:38:18,809 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 100
- 2022-02-12 10:38:18,916 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.278296 Loss2 0.365498
- 2022-02-12 10:38:33,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.291392, best_loss=0.287713
- 2022-02-12 10:38:34,905 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.300754, best_loss=0.302337
- 2022-02-12 10:38:34,931 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:34,932 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.123502731323242s
- 2022-02-12 10:38:34,932 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:38:34,932 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:38:34,932 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 101
- 2022-02-12 10:38:35,043 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.272109 Loss2 0.320445
- 2022-02-12 10:38:50,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.283391, best_loss=0.287713
- 2022-02-12 10:38:50,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:51,291 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.299133, best_loss=0.300754
- 2022-02-12 10:38:51,322 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:38:51,322 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.389998197555542s
- 2022-02-12 10:38:51,323 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:38:51,323 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:38:51,323 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 102
- 2022-02-12 10:38:51,434 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.316743 Loss2 0.402878
- 2022-02-12 10:39:06,391 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.282684, best_loss=0.283391
- 2022-02-12 10:39:06,417 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:07,490 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.297637, best_loss=0.299133
- 2022-02-12 10:39:07,518 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:07,519 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195997953414917s
- 2022-02-12 10:39:07,519 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:39:07,519 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:39:07,519 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 103
- 2022-02-12 10:39:07,629 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.271105 Loss2 0.374445
- 2022-02-12 10:39:22,482 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.280114, best_loss=0.282684
- 2022-02-12 10:39:22,510 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:23,579 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.296182, best_loss=0.297637
- 2022-02-12 10:39:23,607 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:23,607 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.088501691818237s
- 2022-02-12 10:39:23,607 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:39:23,607 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:39:23,607 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 104
- 2022-02-12 10:39:23,724 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.283740 Loss2 0.379649
- 2022-02-12 10:39:38,565 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.281215, best_loss=0.280114
- 2022-02-12 10:39:39,648 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.294748, best_loss=0.296182
- 2022-02-12 10:39:39,675 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:39,676 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.06850028038025s
- 2022-02-12 10:39:39,676 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:39:39,676 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:39:39,676 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 105
- 2022-02-12 10:39:39,782 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.266528 Loss2 0.368799
- 2022-02-12 10:39:54,743 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.276391, best_loss=0.280114
- 2022-02-12 10:39:54,772 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:55,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.293438, best_loss=0.294748
- 2022-02-12 10:39:55,895 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:39:55,895 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.219500303268433s
- 2022-02-12 10:39:55,895 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:39:55,896 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:39:55,896 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 106
- 2022-02-12 10:39:56,038 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.249283 Loss2 0.363339
- 2022-02-12 10:40:10,746 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.277154, best_loss=0.276391
- 2022-02-12 10:40:11,793 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.292303, best_loss=0.293438
- 2022-02-12 10:40:11,819 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:40:11,820 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.924000978469849s
- 2022-02-12 10:40:11,820 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:40:11,820 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:40:11,820 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 107
- 2022-02-12 10:40:11,933 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.291644 Loss2 0.354800
- 2022-02-12 10:40:26,795 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.275701, best_loss=0.276391
- 2022-02-12 10:40:26,824 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:40:27,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.291200, best_loss=0.292303
- 2022-02-12 10:40:27,885 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:40:27,885 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.064999103546143s
- 2022-02-12 10:40:27,885 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:40:27,885 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:40:27,886 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 108
- 2022-02-12 10:40:28,006 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.282769 Loss2 0.375686
- 2022-02-12 10:40:42,862 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.273294, best_loss=0.275701
- 2022-02-12 10:40:42,890 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:40:43,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.290218, best_loss=0.291200
- 2022-02-12 10:40:44,003 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:40:44,003 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.117501497268677s
- 2022-02-12 10:40:44,004 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:40:44,004 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:40:44,004 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 109
- 2022-02-12 10:40:44,119 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.262986 Loss2 0.377349
- 2022-02-12 10:40:59,140 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.270442, best_loss=0.273294
- 2022-02-12 10:40:59,170 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:00,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.289129, best_loss=0.290218
- 2022-02-12 10:41:00,266 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:00,267 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26300072669983s
- 2022-02-12 10:41:00,267 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:41:00,267 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:41:00,267 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 110
- 2022-02-12 10:41:00,377 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.279591 Loss2 0.362005
- 2022-02-12 10:41:15,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.269892, best_loss=0.270442
- 2022-02-12 10:41:15,294 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:16,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.288013, best_loss=0.289129
- 2022-02-12 10:41:16,409 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:16,409 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1419997215271s
- 2022-02-12 10:41:16,410 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:41:16,410 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:41:16,410 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 111
- 2022-02-12 10:41:16,519 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.298146 Loss2 0.398013
- 2022-02-12 10:41:31,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.268053, best_loss=0.269892
- 2022-02-12 10:41:31,570 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:32,639 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.287042, best_loss=0.288013
- 2022-02-12 10:41:32,665 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:32,666 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.256000757217407s
- 2022-02-12 10:41:32,666 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:41:32,666 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:41:32,666 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 112
- 2022-02-12 10:41:32,774 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.284140 Loss2 0.338122
- 2022-02-12 10:41:47,807 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.264726, best_loss=0.268053
- 2022-02-12 10:41:47,837 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:48,916 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.285864, best_loss=0.287042
- 2022-02-12 10:41:48,946 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:41:48,947 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.280501127243042s
- 2022-02-12 10:41:48,947 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:41:48,947 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:41:48,947 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 113
- 2022-02-12 10:41:49,071 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.300669 Loss2 0.352089
- 2022-02-12 10:42:04,080 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.265232, best_loss=0.264726
- 2022-02-12 10:42:05,172 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.284535, best_loss=0.285864
- 2022-02-12 10:42:05,198 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:05,199 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25150156021118s
- 2022-02-12 10:42:05,199 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:42:05,199 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:42:05,199 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 114
- 2022-02-12 10:42:05,305 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.295855 Loss2 0.325557
- 2022-02-12 10:42:20,370 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.264408, best_loss=0.264726
- 2022-02-12 10:42:20,398 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:21,482 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.283236, best_loss=0.284535
- 2022-02-12 10:42:21,509 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:21,509 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31000018119812s
- 2022-02-12 10:42:21,510 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:42:21,510 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:42:21,510 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 115
- 2022-02-12 10:42:21,627 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.246094 Loss2 0.313875
- 2022-02-12 10:42:36,657 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.262299, best_loss=0.264408
- 2022-02-12 10:42:36,686 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:37,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.281612, best_loss=0.283236
- 2022-02-12 10:42:37,771 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:37,772 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26250147819519s
- 2022-02-12 10:42:37,772 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:42:37,772 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:42:37,772 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 116
- 2022-02-12 10:42:37,887 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.237085 Loss2 0.354060
- 2022-02-12 10:42:52,960 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.262327, best_loss=0.262299
- 2022-02-12 10:42:54,045 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.280172, best_loss=0.281612
- 2022-02-12 10:42:54,074 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:42:54,074 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30199933052063s
- 2022-02-12 10:42:54,074 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:42:54,074 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:42:54,074 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 117
- 2022-02-12 10:42:54,194 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.244046 Loss2 0.346106
- 2022-02-12 10:43:09,083 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.260029, best_loss=0.262299
- 2022-02-12 10:43:09,113 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:10,149 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.278594, best_loss=0.280172
- 2022-02-12 10:43:10,176 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:10,177 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.10249900817871s
- 2022-02-12 10:43:10,177 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:43:10,177 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:43:10,177 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 118
- 2022-02-12 10:43:10,291 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.253116 Loss2 0.367067
- 2022-02-12 10:43:25,161 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.260499, best_loss=0.260029
- 2022-02-12 10:43:26,201 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.277141, best_loss=0.278594
- 2022-02-12 10:43:26,229 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:26,230 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.053001165390015s
- 2022-02-12 10:43:26,230 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:43:26,230 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:43:26,230 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 119
- 2022-02-12 10:43:26,336 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.240048 Loss2 0.352418
- 2022-02-12 10:43:41,323 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.257343, best_loss=0.260029
- 2022-02-12 10:43:41,349 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:42,426 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.275376, best_loss=0.277141
- 2022-02-12 10:43:42,453 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:42,454 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.223498344421387s
- 2022-02-12 10:43:42,454 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:43:42,454 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:43:42,454 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 120
- 2022-02-12 10:43:42,568 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.250456 Loss2 0.339133
- 2022-02-12 10:43:57,389 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.259160, best_loss=0.257343
- 2022-02-12 10:43:58,463 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.273652, best_loss=0.275376
- 2022-02-12 10:43:58,489 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:43:58,490 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.03600001335144s
- 2022-02-12 10:43:58,490 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:43:58,490 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:43:58,490 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 121
- 2022-02-12 10:43:58,618 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.249460 Loss2 0.340340
- 2022-02-12 10:44:13,520 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.255924, best_loss=0.257343
- 2022-02-12 10:44:13,547 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:14,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.272179, best_loss=0.273652
- 2022-02-12 10:44:14,654 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:14,654 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.163997650146484s
- 2022-02-12 10:44:14,654 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:44:14,654 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:44:14,655 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 122
- 2022-02-12 10:44:14,766 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.271465 Loss2 0.360717
- 2022-02-12 10:44:29,565 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.255691, best_loss=0.255924
- 2022-02-12 10:44:29,593 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:30,646 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.270700, best_loss=0.272179
- 2022-02-12 10:44:30,675 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:30,675 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.020501136779785s
- 2022-02-12 10:44:30,675 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:44:30,675 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:44:30,675 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 123
- 2022-02-12 10:44:30,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.241607 Loss2 0.357572
- 2022-02-12 10:44:45,635 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.255629, best_loss=0.255691
- 2022-02-12 10:44:45,664 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:46,706 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.268995, best_loss=0.270700
- 2022-02-12 10:44:46,733 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:44:46,734 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05850100517273s
- 2022-02-12 10:44:46,734 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:44:46,734 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:44:46,734 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 124
- 2022-02-12 10:44:46,857 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.231059 Loss2 0.389994
- 2022-02-12 10:45:01,760 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.253724, best_loss=0.255629
- 2022-02-12 10:45:01,788 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:02,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.267497, best_loss=0.268995
- 2022-02-12 10:45:02,885 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:02,886 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1514995098114s
- 2022-02-12 10:45:02,886 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:45:02,886 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:45:02,886 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 125
- 2022-02-12 10:45:03,001 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.273901 Loss2 0.364877
- 2022-02-12 10:45:17,914 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.252664, best_loss=0.253724
- 2022-02-12 10:45:17,944 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:19,023 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.266091, best_loss=0.267497
- 2022-02-12 10:45:19,049 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:19,050 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.164003610610962s
- 2022-02-12 10:45:19,050 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:45:19,050 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:45:19,050 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 126
- 2022-02-12 10:45:19,180 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.268843 Loss2 0.331528
- 2022-02-12 10:45:34,126 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.253199, best_loss=0.252664
- 2022-02-12 10:45:35,194 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.264510, best_loss=0.266091
- 2022-02-12 10:45:35,220 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:35,220 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.169997215270996s
- 2022-02-12 10:45:35,220 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:45:35,221 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:45:35,221 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 127
- 2022-02-12 10:45:35,332 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.264190 Loss2 0.365679
- 2022-02-12 10:45:50,253 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.252272, best_loss=0.252664
- 2022-02-12 10:45:50,279 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:51,315 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.262941, best_loss=0.264510
- 2022-02-12 10:45:51,346 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:45:51,346 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.125500202178955s
- 2022-02-12 10:45:51,346 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:45:51,347 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:45:51,347 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 128
- 2022-02-12 10:45:51,473 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.264676 Loss2 0.396380
- 2022-02-12 10:46:06,342 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.251239, best_loss=0.252272
- 2022-02-12 10:46:06,367 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:07,435 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.261629, best_loss=0.262941
- 2022-02-12 10:46:07,463 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:07,464 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.11749815940857s
- 2022-02-12 10:46:07,464 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:46:07,464 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:46:07,464 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 129
- 2022-02-12 10:46:07,577 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.247784 Loss2 0.361336
- 2022-02-12 10:46:22,444 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.251416, best_loss=0.251239
- 2022-02-12 10:46:23,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.260232, best_loss=0.261629
- 2022-02-12 10:46:23,513 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:23,514 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.04950261116028s
- 2022-02-12 10:46:23,514 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:46:23,514 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:46:23,514 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 130
- 2022-02-12 10:46:23,631 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.250542 Loss2 0.371559
- 2022-02-12 10:46:38,562 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.250973, best_loss=0.251239
- 2022-02-12 10:46:38,593 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:39,666 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.258896, best_loss=0.260232
- 2022-02-12 10:46:39,695 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:39,696 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.181532382965088s
- 2022-02-12 10:46:39,696 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:46:39,696 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:46:39,696 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 131
- 2022-02-12 10:46:39,805 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.245288 Loss2 0.373198
- 2022-02-12 10:46:54,711 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.249582, best_loss=0.250973
- 2022-02-12 10:46:54,738 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:55,820 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.257642, best_loss=0.258896
- 2022-02-12 10:46:55,849 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:46:55,849 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15299963951111s
- 2022-02-12 10:46:55,849 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:46:55,850 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:46:55,850 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 132
- 2022-02-12 10:46:55,958 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.262571 Loss2 0.387173
- 2022-02-12 10:47:10,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.249581, best_loss=0.249582
- 2022-02-12 10:47:10,875 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:47:11,959 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.256209, best_loss=0.257642
- 2022-02-12 10:47:11,987 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:47:11,988 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.137974500656128s
- 2022-02-12 10:47:11,988 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:47:11,988 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:47:11,988 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 133
- 2022-02-12 10:47:12,100 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.243384 Loss2 0.326837
- 2022-02-12 10:47:27,011 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.249295, best_loss=0.249581
- 2022-02-12 10:47:27,038 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:47:28,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.254982, best_loss=0.256209
- 2022-02-12 10:47:28,130 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:47:28,130 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.14199924468994s
- 2022-02-12 10:47:28,131 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:47:28,131 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:47:28,131 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 134
- 2022-02-12 10:47:28,241 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.240013 Loss2 0.368154
- 2022-02-12 10:47:43,195 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.250512, best_loss=0.249295
- 2022-02-12 10:47:44,281 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.253739, best_loss=0.254982
- 2022-02-12 10:47:44,310 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:47:44,311 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.180500984191895s
- 2022-02-12 10:47:44,311 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:47:44,311 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:47:44,311 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 135
- 2022-02-12 10:47:44,432 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.279000 Loss2 0.428541
- 2022-02-12 10:47:59,849 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.247216, best_loss=0.249295
- 2022-02-12 10:47:59,877 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:00,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.252597, best_loss=0.253739
- 2022-02-12 10:48:00,962 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:00,962 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65100073814392s
- 2022-02-12 10:48:00,962 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:48:00,962 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:48:00,962 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 136
- 2022-02-12 10:48:01,078 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.263583 Loss2 0.384728
- 2022-02-12 10:48:16,117 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.248037, best_loss=0.247216
- 2022-02-12 10:48:17,143 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.251390, best_loss=0.252597
- 2022-02-12 10:48:17,174 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:17,174 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.21150040626526s
- 2022-02-12 10:48:17,174 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:48:17,174 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:48:17,175 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 137
- 2022-02-12 10:48:17,292 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.234935 Loss2 0.366964
- 2022-02-12 10:48:32,154 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.248024, best_loss=0.247216
- 2022-02-12 10:48:33,246 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.250137, best_loss=0.251390
- 2022-02-12 10:48:33,273 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:33,274 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.099003791809082s
- 2022-02-12 10:48:33,274 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:48:33,274 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:48:33,274 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 138
- 2022-02-12 10:48:33,395 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.274586 Loss2 0.350831
- 2022-02-12 10:48:48,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.246760, best_loss=0.247216
- 2022-02-12 10:48:48,361 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:49,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.248967, best_loss=0.250137
- 2022-02-12 10:48:49,468 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:48:49,468 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.193997621536255s
- 2022-02-12 10:48:49,468 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:48:49,468 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:48:49,468 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 139
- 2022-02-12 10:48:49,579 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.261967 Loss2 0.362140
- 2022-02-12 10:49:04,535 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245984, best_loss=0.246760
- 2022-02-12 10:49:04,561 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:05,614 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.247854, best_loss=0.248967
- 2022-02-12 10:49:05,641 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:05,641 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17300248146057s
- 2022-02-12 10:49:05,641 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:49:05,641 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:49:05,641 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 140
- 2022-02-12 10:49:05,751 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.226105 Loss2 0.338755
- 2022-02-12 10:49:20,780 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.247269, best_loss=0.245984
- 2022-02-12 10:49:21,848 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.246746, best_loss=0.247854
- 2022-02-12 10:49:21,875 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:21,876 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.234498262405396s
- 2022-02-12 10:49:21,876 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:49:21,876 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:49:21,876 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 141
- 2022-02-12 10:49:21,993 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.237572 Loss2 0.362419
- 2022-02-12 10:49:37,287 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245614, best_loss=0.245984
- 2022-02-12 10:49:37,316 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:38,387 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245646, best_loss=0.246746
- 2022-02-12 10:49:38,414 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:38,415 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5385000705719s
- 2022-02-12 10:49:38,415 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:49:38,415 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:49:38,415 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 142
- 2022-02-12 10:49:38,522 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.246481 Loss2 0.363091
- 2022-02-12 10:49:53,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.244969, best_loss=0.245614
- 2022-02-12 10:49:53,512 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:54,578 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.244540, best_loss=0.245646
- 2022-02-12 10:49:54,605 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:49:54,605 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.190499782562256s
- 2022-02-12 10:49:54,605 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:49:54,605 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:49:54,605 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 143
- 2022-02-12 10:49:54,711 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.223332 Loss2 0.316321
- 2022-02-12 10:50:09,647 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.244693, best_loss=0.244969
- 2022-02-12 10:50:09,676 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:10,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.243488, best_loss=0.244540
- 2022-02-12 10:50:10,770 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:10,770 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.165000200271606s
- 2022-02-12 10:50:10,770 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:50:10,770 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:50:10,771 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 144
- 2022-02-12 10:50:10,888 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216037 Loss2 0.361509
- 2022-02-12 10:50:25,788 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.244075, best_loss=0.244693
- 2022-02-12 10:50:25,816 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:26,912 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.242419, best_loss=0.243488
- 2022-02-12 10:50:26,941 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:26,941 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1705002784729s
- 2022-02-12 10:50:26,941 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:50:26,941 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:50:26,941 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 145
- 2022-02-12 10:50:27,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.247930 Loss2 0.341660
- 2022-02-12 10:50:41,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245169, best_loss=0.244075
- 2022-02-12 10:50:42,936 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241340, best_loss=0.242419
- 2022-02-12 10:50:42,965 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:42,965 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.02400016784668s
- 2022-02-12 10:50:42,965 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:50:42,965 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:50:42,965 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 146
- 2022-02-12 10:50:43,082 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.239359 Loss2 0.322917
- 2022-02-12 10:50:58,095 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241384, best_loss=0.244075
- 2022-02-12 10:50:58,124 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:59,183 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.240307, best_loss=0.241340
- 2022-02-12 10:50:59,210 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:50:59,211 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.245001316070557s
- 2022-02-12 10:50:59,211 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:50:59,211 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:50:59,211 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 147
- 2022-02-12 10:50:59,325 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210172 Loss2 0.334061
- 2022-02-12 10:51:14,496 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245703, best_loss=0.241384
- 2022-02-12 10:51:15,577 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.239355, best_loss=0.240307
- 2022-02-12 10:51:15,604 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:51:15,604 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39299726486206s
- 2022-02-12 10:51:15,605 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:51:15,605 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:51:15,605 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 148
- 2022-02-12 10:51:15,712 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.263150 Loss2 0.384975
- 2022-02-12 10:51:30,705 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.242175, best_loss=0.241384
- 2022-02-12 10:51:31,772 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.238395, best_loss=0.239355
- 2022-02-12 10:51:31,799 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:51:31,800 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195000171661377s
- 2022-02-12 10:51:31,800 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:51:31,800 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:51:31,800 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 149
- 2022-02-12 10:51:31,921 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.245547 Loss2 0.362027
- 2022-02-12 10:51:46,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.243384, best_loss=0.241384
- 2022-02-12 10:51:47,953 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.237441, best_loss=0.238395
- 2022-02-12 10:51:47,982 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:51:47,983 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1825008392334s
- 2022-02-12 10:51:47,983 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:51:47,983 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:51:47,983 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 150
- 2022-02-12 10:51:48,101 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199589 Loss2 0.301338
- 2022-02-12 10:52:02,895 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.240916, best_loss=0.241384
- 2022-02-12 10:52:02,921 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:04,018 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236637, best_loss=0.237441
- 2022-02-12 10:52:04,047 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:04,048 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.0645010471344s
- 2022-02-12 10:52:04,048 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:52:04,048 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:52:04,048 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 151
- 2022-02-12 10:52:04,166 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.268582 Loss2 0.367082
- 2022-02-12 10:52:19,168 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241817, best_loss=0.240916
- 2022-02-12 10:52:20,238 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235833, best_loss=0.236637
- 2022-02-12 10:52:20,266 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:20,267 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.21849799156189s
- 2022-02-12 10:52:20,267 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:52:20,267 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:52:20,267 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 152
- 2022-02-12 10:52:20,388 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.245671 Loss2 0.377139
- 2022-02-12 10:52:35,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.240787, best_loss=0.240916
- 2022-02-12 10:52:35,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:36,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234983, best_loss=0.235833
- 2022-02-12 10:52:36,344 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:36,345 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.078001737594604s
- 2022-02-12 10:52:36,345 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:52:36,345 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:52:36,345 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 153
- 2022-02-12 10:52:36,456 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.209239 Loss2 0.353394
- 2022-02-12 10:52:51,588 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241489, best_loss=0.240787
- 2022-02-12 10:52:52,654 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234211, best_loss=0.234983
- 2022-02-12 10:52:52,681 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:52:52,681 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3364999294281s
- 2022-02-12 10:52:52,681 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:52:52,681 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:52:52,681 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 154
- 2022-02-12 10:52:52,793 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214340 Loss2 0.351534
- 2022-02-12 10:53:07,843 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.309746, best_loss=0.240787
- 2022-02-12 10:53:08,909 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.239952, best_loss=0.234211
- 2022-02-12 10:53:08,909 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.22799825668335s
- 2022-02-12 10:53:08,909 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:53:08,909 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:53:08,909 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 155
- 2022-02-12 10:53:09,020 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.288665 Loss2 0.350643
- 2022-02-12 10:53:24,107 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.253120, best_loss=0.240787
- 2022-02-12 10:53:25,178 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.256273, best_loss=0.234211
- 2022-02-12 10:53:25,179 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.269501447677612s
- 2022-02-12 10:53:25,179 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:53:25,179 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:53:25,179 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 156
- 2022-02-12 10:53:25,296 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.265343 Loss2 0.364772
- 2022-02-12 10:53:40,387 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.245501, best_loss=0.240787
- 2022-02-12 10:53:41,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.277250, best_loss=0.234211
- 2022-02-12 10:53:41,409 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.229998350143433s
- 2022-02-12 10:53:41,409 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:53:41,409 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:53:41,409 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 157
- 2022-02-12 10:53:41,514 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205047 Loss2 0.334438
- 2022-02-12 10:53:56,576 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241482, best_loss=0.240787
- 2022-02-12 10:53:57,663 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.302624, best_loss=0.234211
- 2022-02-12 10:53:57,663 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.254502296447754s
- 2022-02-12 10:53:57,663 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:53:57,663 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:53:57,663 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 158
- 2022-02-12 10:53:57,784 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.282850 Loss2 0.373129
- 2022-02-12 10:54:12,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.239460, best_loss=0.240787
- 2022-02-12 10:54:12,869 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:54:13,947 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.331526, best_loss=0.234211
- 2022-02-12 10:54:13,948 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.284499406814575s
- 2022-02-12 10:54:13,948 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:54:13,948 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:54:13,948 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 159
- 2022-02-12 10:54:14,073 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208996 Loss2 0.392256
- 2022-02-12 10:54:29,271 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.237671, best_loss=0.239460
- 2022-02-12 10:54:29,297 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:54:30,361 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.347713, best_loss=0.234211
- 2022-02-12 10:54:30,362 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.414000272750854s
- 2022-02-12 10:54:30,362 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:54:30,362 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:54:30,362 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 160
- 2022-02-12 10:54:30,472 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228341 Loss2 0.372421
- 2022-02-12 10:54:45,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236016, best_loss=0.237671
- 2022-02-12 10:54:45,445 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:54:46,515 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.355085, best_loss=0.234211
- 2022-02-12 10:54:46,516 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.153501510620117s
- 2022-02-12 10:54:46,516 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:54:46,516 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:54:46,516 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 161
- 2022-02-12 10:54:46,631 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.225983 Loss2 0.338862
- 2022-02-12 10:55:01,658 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236928, best_loss=0.236016
- 2022-02-12 10:55:02,733 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.354672, best_loss=0.234211
- 2022-02-12 10:55:02,734 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.217997312545776s
- 2022-02-12 10:55:02,734 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:55:02,734 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:55:02,734 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 162
- 2022-02-12 10:55:02,846 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.275960 Loss2 0.363408
- 2022-02-12 10:55:17,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235353, best_loss=0.236016
- 2022-02-12 10:55:17,700 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:55:18,773 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.350109, best_loss=0.234211
- 2022-02-12 10:55:18,774 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.039501905441284s
- 2022-02-12 10:55:18,774 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:55:18,774 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:55:18,774 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 163
- 2022-02-12 10:55:18,896 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228546 Loss2 0.368745
- 2022-02-12 10:55:34,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235985, best_loss=0.235353
- 2022-02-12 10:55:35,076 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.351753, best_loss=0.234211
- 2022-02-12 10:55:35,076 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.302499294281006s
- 2022-02-12 10:55:35,076 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:55:35,076 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:55:35,076 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 164
- 2022-02-12 10:55:35,189 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216713 Loss2 0.352040
- 2022-02-12 10:55:50,245 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235633, best_loss=0.235353
- 2022-02-12 10:55:51,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.372229, best_loss=0.234211
- 2022-02-12 10:55:51,316 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23999786376953s
- 2022-02-12 10:55:51,317 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:55:51,317 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:55:51,317 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 165
- 2022-02-12 10:55:51,426 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.264023 Loss2 0.379117
- 2022-02-12 10:56:06,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235497, best_loss=0.235353
- 2022-02-12 10:56:07,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.420198, best_loss=0.234211
- 2022-02-12 10:56:07,516 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19949984550476s
- 2022-02-12 10:56:07,516 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:56:07,516 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:56:07,517 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 166
- 2022-02-12 10:56:07,634 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.241333 Loss2 0.353669
- 2022-02-12 10:56:22,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235214, best_loss=0.235353
- 2022-02-12 10:56:22,553 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:56:23,619 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.502460, best_loss=0.234211
- 2022-02-12 10:56:23,619 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.102503776550293s
- 2022-02-12 10:56:23,619 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:56:23,619 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:56:23,619 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 167
- 2022-02-12 10:56:23,744 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.268175 Loss2 0.347975
- 2022-02-12 10:56:38,716 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235099, best_loss=0.235214
- 2022-02-12 10:56:38,744 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:56:39,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.614552, best_loss=0.234211
- 2022-02-12 10:56:39,778 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15899682044983s
- 2022-02-12 10:56:39,778 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:56:39,778 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:56:39,778 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 168
- 2022-02-12 10:56:39,900 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219192 Loss2 0.313686
- 2022-02-12 10:56:54,850 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235542, best_loss=0.235099
- 2022-02-12 10:56:55,924 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.716899, best_loss=0.234211
- 2022-02-12 10:56:55,924 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.146000623703003s
- 2022-02-12 10:56:55,925 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:56:55,925 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:56:55,925 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 169
- 2022-02-12 10:56:56,047 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228813 Loss2 0.323663
- 2022-02-12 10:57:11,110 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234260, best_loss=0.235099
- 2022-02-12 10:57:11,141 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 10:57:12,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.764891, best_loss=0.234211
- 2022-02-12 10:57:12,174 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24949884414673s
- 2022-02-12 10:57:12,174 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:57:12,174 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:57:12,174 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 170
- 2022-02-12 10:57:12,287 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217032 Loss2 0.334921
- 2022-02-12 10:57:27,324 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234586, best_loss=0.234260
- 2022-02-12 10:57:28,395 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.734857, best_loss=0.234211
- 2022-02-12 10:57:28,396 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.221499919891357s
- 2022-02-12 10:57:28,396 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:57:28,396 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:57:28,396 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 171
- 2022-02-12 10:57:28,516 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214910 Loss2 0.324091
- 2022-02-12 10:57:43,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235634, best_loss=0.234260
- 2022-02-12 10:57:44,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.643056, best_loss=0.234211
- 2022-02-12 10:57:44,481 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.085001230239868s
- 2022-02-12 10:57:44,481 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:57:44,481 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:57:44,481 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 172
- 2022-02-12 10:57:44,588 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215433 Loss2 0.309018
- 2022-02-12 10:57:59,564 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236004, best_loss=0.234260
- 2022-02-12 10:58:00,632 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.535394, best_loss=0.234211
- 2022-02-12 10:58:00,633 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.151498556137085s
- 2022-02-12 10:58:00,633 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:58:00,633 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:58:00,633 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 173
- 2022-02-12 10:58:00,756 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.232072 Loss2 0.385290
- 2022-02-12 10:58:15,845 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235473, best_loss=0.234260
- 2022-02-12 10:58:16,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.443230, best_loss=0.234211
- 2022-02-12 10:58:16,908 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.274999618530273s
- 2022-02-12 10:58:16,908 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:58:16,908 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:58:16,908 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 174
- 2022-02-12 10:58:17,025 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213563 Loss2 0.338178
- 2022-02-12 10:58:32,091 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234820, best_loss=0.234260
- 2022-02-12 10:58:33,169 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.371154, best_loss=0.234211
- 2022-02-12 10:58:33,170 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.262001037597656s
- 2022-02-12 10:58:33,170 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:58:33,170 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:58:33,170 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 175
- 2022-02-12 10:58:33,288 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.231540 Loss2 0.351296
- 2022-02-12 10:58:48,452 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235297, best_loss=0.234260
- 2022-02-12 10:58:49,506 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.321870, best_loss=0.234211
- 2022-02-12 10:58:49,507 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.336498022079468s
- 2022-02-12 10:58:49,507 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:58:49,507 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:58:49,507 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 176
- 2022-02-12 10:58:49,616 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213849 Loss2 0.331372
- 2022-02-12 10:59:04,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234997, best_loss=0.234260
- 2022-02-12 10:59:05,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.291593, best_loss=0.234211
- 2022-02-12 10:59:05,480 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.973001718521118s
- 2022-02-12 10:59:05,480 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:59:05,480 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:59:05,481 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 177
- 2022-02-12 10:59:05,583 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230816 Loss2 0.369503
- 2022-02-12 10:59:20,472 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235456, best_loss=0.234260
- 2022-02-12 10:59:21,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.273314, best_loss=0.234211
- 2022-02-12 10:59:21,512 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.03149914741516s
- 2022-02-12 10:59:21,512 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:59:21,512 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:59:21,513 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 178
- 2022-02-12 10:59:21,630 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228202 Loss2 0.361043
- 2022-02-12 10:59:36,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236381, best_loss=0.234260
- 2022-02-12 10:59:37,655 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.261799, best_loss=0.234211
- 2022-02-12 10:59:37,656 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.142998695373535s
- 2022-02-12 10:59:37,656 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:59:37,656 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:59:37,656 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 179
- 2022-02-12 10:59:37,778 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.246235 Loss2 0.373469
- 2022-02-12 10:59:52,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234511, best_loss=0.234260
- 2022-02-12 10:59:53,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.253941, best_loss=0.234211
- 2022-02-12 10:59:53,924 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26800012588501s
- 2022-02-12 10:59:53,924 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 10:59:53,924 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 10:59:53,924 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 180
- 2022-02-12 10:59:54,029 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220142 Loss2 0.360813
- 2022-02-12 11:00:08,890 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.237174, best_loss=0.234260
- 2022-02-12 11:00:09,954 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.248354, best_loss=0.234211
- 2022-02-12 11:00:09,954 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.03050136566162s
- 2022-02-12 11:00:09,954 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:00:09,955 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:00:09,955 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 181
- 2022-02-12 11:00:10,085 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217899 Loss2 0.325967
- 2022-02-12 11:00:24,990 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235971, best_loss=0.234260
- 2022-02-12 11:00:26,050 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.244247, best_loss=0.234211
- 2022-02-12 11:00:26,051 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.096002340316772s
- 2022-02-12 11:00:26,051 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:00:26,051 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:00:26,051 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 182
- 2022-02-12 11:00:26,174 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228471 Loss2 0.352042
- 2022-02-12 11:00:41,222 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236577, best_loss=0.234260
- 2022-02-12 11:00:42,283 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.241031, best_loss=0.234211
- 2022-02-12 11:00:42,283 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.232028007507324s
- 2022-02-12 11:00:42,283 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:00:42,283 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:00:42,283 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 183
- 2022-02-12 11:00:42,394 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.256449 Loss2 0.349467
- 2022-02-12 11:00:57,342 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236557, best_loss=0.234260
- 2022-02-12 11:00:58,407 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.238376, best_loss=0.234211
- 2022-02-12 11:00:58,407 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.123499155044556s
- 2022-02-12 11:00:58,407 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:00:58,407 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:00:58,408 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 184
- 2022-02-12 11:00:58,517 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230506 Loss2 0.350910
- 2022-02-12 11:01:13,728 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236601, best_loss=0.234260
- 2022-02-12 11:01:14,791 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.236207, best_loss=0.234211
- 2022-02-12 11:01:14,791 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.38350510597229s
- 2022-02-12 11:01:14,791 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:01:14,791 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:01:14,791 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 185
- 2022-02-12 11:01:14,897 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229231 Loss2 0.361983
- 2022-02-12 11:01:29,738 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235360, best_loss=0.234260
- 2022-02-12 11:01:30,782 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234369, best_loss=0.234211
- 2022-02-12 11:01:30,783 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.991496324539185s
- 2022-02-12 11:01:30,783 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:01:30,783 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:01:30,783 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 186
- 2022-02-12 11:01:30,894 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.253852 Loss2 0.391582
- 2022-02-12 11:01:45,998 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235154, best_loss=0.234260
- 2022-02-12 11:01:47,078 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232777, best_loss=0.234211
- 2022-02-12 11:01:47,105 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:01:47,105 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.322500705718994s
- 2022-02-12 11:01:47,105 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:01:47,105 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:01:47,105 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 187
- 2022-02-12 11:01:47,237 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.232083 Loss2 0.347701
- 2022-02-12 11:02:02,280 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234725, best_loss=0.234260
- 2022-02-12 11:02:03,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231288, best_loss=0.232777
- 2022-02-12 11:02:03,375 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:02:03,376 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.271000146865845s
- 2022-02-12 11:02:03,376 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:02:03,376 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:02:03,376 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 188
- 2022-02-12 11:02:03,496 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210569 Loss2 0.322115
- 2022-02-12 11:02:18,557 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235319, best_loss=0.234260
- 2022-02-12 11:02:19,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229988, best_loss=0.231288
- 2022-02-12 11:02:19,663 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:02:19,664 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.287500381469727s
- 2022-02-12 11:02:19,664 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:02:19,664 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:02:19,664 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 189
- 2022-02-12 11:02:19,772 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.253882 Loss2 0.361277
- 2022-02-12 11:02:34,742 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.235280, best_loss=0.234260
- 2022-02-12 11:02:35,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228827, best_loss=0.229988
- 2022-02-12 11:02:35,840 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:02:35,840 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17652463912964s
- 2022-02-12 11:02:35,840 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:02:35,840 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:02:35,840 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 190
- 2022-02-12 11:02:35,951 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220522 Loss2 0.357799
- 2022-02-12 11:02:51,044 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234769, best_loss=0.234260
- 2022-02-12 11:02:52,093 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227664, best_loss=0.228827
- 2022-02-12 11:02:52,123 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:02:52,123 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.28297448158264s
- 2022-02-12 11:02:52,123 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:02:52,123 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:02:52,123 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 191
- 2022-02-12 11:02:52,236 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.260381 Loss2 0.381099
- 2022-02-12 11:03:07,283 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234702, best_loss=0.234260
- 2022-02-12 11:03:08,347 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226619, best_loss=0.227664
- 2022-02-12 11:03:08,373 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:08,374 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.250499725341797s
- 2022-02-12 11:03:08,374 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:03:08,374 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:03:08,374 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 192
- 2022-02-12 11:03:08,483 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.223922 Loss2 0.326191
- 2022-02-12 11:03:23,309 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233925, best_loss=0.234260
- 2022-02-12 11:03:23,338 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:24,415 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225686, best_loss=0.226619
- 2022-02-12 11:03:24,442 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:24,443 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.06899905204773s
- 2022-02-12 11:03:24,443 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:03:24,443 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:03:24,443 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 193
- 2022-02-12 11:03:24,565 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.235639 Loss2 0.370959
- 2022-02-12 11:03:39,532 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.234053, best_loss=0.233925
- 2022-02-12 11:03:40,602 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224784, best_loss=0.225686
- 2022-02-12 11:03:40,628 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:40,628 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18550181388855s
- 2022-02-12 11:03:40,628 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:03:40,628 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:03:40,628 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 194
- 2022-02-12 11:03:40,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.238295 Loss2 0.368017
- 2022-02-12 11:03:55,678 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233606, best_loss=0.233925
- 2022-02-12 11:03:55,706 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:56,730 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224098, best_loss=0.224784
- 2022-02-12 11:03:56,757 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:03:56,758 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.129497528076172s
- 2022-02-12 11:03:56,758 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:03:56,758 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:03:56,758 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 195
- 2022-02-12 11:03:56,894 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.232875 Loss2 0.354828
- 2022-02-12 11:04:11,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233011, best_loss=0.233606
- 2022-02-12 11:04:11,937 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:04:13,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223406, best_loss=0.224098
- 2022-02-12 11:04:13,040 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:04:13,041 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.282503604888916s
- 2022-02-12 11:04:13,041 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:04:13,041 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:04:13,041 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 196
- 2022-02-12 11:04:13,158 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213787 Loss2 0.341331
- 2022-02-12 11:04:28,253 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233763, best_loss=0.233011
- 2022-02-12 11:04:29,319 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222674, best_loss=0.223406
- 2022-02-12 11:04:29,346 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:04:29,347 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.305500030517578s
- 2022-02-12 11:04:29,347 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:04:29,347 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:04:29,347 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 197
- 2022-02-12 11:04:29,460 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214677 Loss2 0.332844
- 2022-02-12 11:04:44,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232666, best_loss=0.233011
- 2022-02-12 11:04:44,530 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:04:45,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222036, best_loss=0.222674
- 2022-02-12 11:04:45,613 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:04:45,613 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.266499996185303s
- 2022-02-12 11:04:45,614 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:04:45,614 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:04:45,614 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 198
- 2022-02-12 11:04:45,721 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230246 Loss2 0.384335
- 2022-02-12 11:05:00,762 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233348, best_loss=0.232666
- 2022-02-12 11:05:01,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221494, best_loss=0.222036
- 2022-02-12 11:05:01,800 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:05:01,801 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.187000036239624s
- 2022-02-12 11:05:01,801 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:05:01,801 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:05:01,801 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 199
- 2022-02-12 11:05:01,914 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229583 Loss2 0.435987
- 2022-02-12 11:05:16,957 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233595, best_loss=0.232666
- 2022-02-12 11:05:17,978 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221092, best_loss=0.221494
- 2022-02-12 11:05:18,007 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:05:18,007 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.206002235412598s
- 2022-02-12 11:05:18,007 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:05:18,007 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:05:18,007 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 200
- 2022-02-12 11:05:18,128 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208354 Loss2 0.351974
- 2022-02-12 11:05:33,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.233206, best_loss=0.232666
- 2022-02-12 11:05:34,295 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220679, best_loss=0.221092
- 2022-02-12 11:05:34,323 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:05:34,323 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.315995454788208s
- 2022-02-12 11:05:34,323 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:05:34,324 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:05:34,324 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 201
- 2022-02-12 11:05:34,428 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219397 Loss2 0.377287
- 2022-02-12 11:05:49,366 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231804, best_loss=0.232666
- 2022-02-12 11:05:49,394 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:05:50,459 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220429, best_loss=0.220679
- 2022-02-12 11:05:50,486 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:05:50,487 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.162501335144043s
- 2022-02-12 11:05:50,487 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:05:50,487 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:05:50,487 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 202
- 2022-02-12 11:05:50,597 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.242997 Loss2 0.374802
- 2022-02-12 11:06:05,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232024, best_loss=0.231804
- 2022-02-12 11:06:06,700 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219951, best_loss=0.220429
- 2022-02-12 11:06:06,727 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:06:06,728 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24100112915039s
- 2022-02-12 11:06:06,728 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:06:06,728 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:06:06,728 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 203
- 2022-02-12 11:06:06,839 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229591 Loss2 0.372023
- 2022-02-12 11:06:21,881 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232776, best_loss=0.231804
- 2022-02-12 11:06:22,955 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219522, best_loss=0.219951
- 2022-02-12 11:06:22,985 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:06:22,986 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.257999420166016s
- 2022-02-12 11:06:22,986 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:06:22,986 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:06:22,986 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 204
- 2022-02-12 11:06:23,098 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.227155 Loss2 0.387110
- 2022-02-12 11:06:38,115 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231375, best_loss=0.231804
- 2022-02-12 11:06:38,143 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:06:39,216 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219081, best_loss=0.219522
- 2022-02-12 11:06:39,245 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:06:39,245 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25950050354004s
- 2022-02-12 11:06:39,245 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:06:39,245 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:06:39,246 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 205
- 2022-02-12 11:06:39,362 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.231505 Loss2 0.336814
- 2022-02-12 11:06:54,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231383, best_loss=0.231375
- 2022-02-12 11:06:55,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218739, best_loss=0.219081
- 2022-02-12 11:06:55,439 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:06:55,439 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.193498611450195s
- 2022-02-12 11:06:55,439 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:06:55,439 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:06:55,439 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 206
- 2022-02-12 11:06:55,569 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230324 Loss2 0.324374
- 2022-02-12 11:07:10,602 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232522, best_loss=0.231375
- 2022-02-12 11:07:11,656 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218492, best_loss=0.218739
- 2022-02-12 11:07:11,684 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:07:11,684 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.245001554489136s
- 2022-02-12 11:07:11,684 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:07:11,684 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:07:11,684 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 207
- 2022-02-12 11:07:11,798 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217825 Loss2 0.352930
- 2022-02-12 11:07:26,654 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231970, best_loss=0.231375
- 2022-02-12 11:07:27,692 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218141, best_loss=0.218492
- 2022-02-12 11:07:27,718 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:07:27,718 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.034003019332886s
- 2022-02-12 11:07:27,718 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:07:27,718 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:07:27,718 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 208
- 2022-02-12 11:07:27,835 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197861 Loss2 0.376255
- 2022-02-12 11:07:42,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231678, best_loss=0.231375
- 2022-02-12 11:07:44,062 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217873, best_loss=0.218141
- 2022-02-12 11:07:44,091 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:07:44,092 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.373497247695923s
- 2022-02-12 11:07:44,092 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:07:44,092 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:07:44,092 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 209
- 2022-02-12 11:07:44,203 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229154 Loss2 0.343544
- 2022-02-12 11:07:59,229 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231957, best_loss=0.231375
- 2022-02-12 11:08:00,306 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217599, best_loss=0.217873
- 2022-02-12 11:08:00,333 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:08:00,334 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.242000102996826s
- 2022-02-12 11:08:00,334 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:08:00,334 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:08:00,334 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 210
- 2022-02-12 11:08:00,446 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213076 Loss2 0.320850
- 2022-02-12 11:08:15,497 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231539, best_loss=0.231375
- 2022-02-12 11:08:16,508 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217330, best_loss=0.217599
- 2022-02-12 11:08:16,536 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:08:16,537 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.20349955558777s
- 2022-02-12 11:08:16,537 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:08:16,537 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:08:16,537 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 211
- 2022-02-12 11:08:16,644 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228480 Loss2 0.339006
- 2022-02-12 11:08:31,637 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229727, best_loss=0.231375
- 2022-02-12 11:08:31,666 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:08:32,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216995, best_loss=0.217330
- 2022-02-12 11:08:32,774 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:08:32,775 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.237499713897705s
- 2022-02-12 11:08:32,775 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:08:32,775 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:08:32,775 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 212
- 2022-02-12 11:08:32,887 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.243194 Loss2 0.352908
- 2022-02-12 11:08:47,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230836, best_loss=0.229727
- 2022-02-12 11:08:48,972 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216568, best_loss=0.216995
- 2022-02-12 11:08:49,000 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:08:49,001 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.22550082206726s
- 2022-02-12 11:08:49,001 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:08:49,001 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:08:49,001 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 213
- 2022-02-12 11:08:49,111 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208697 Loss2 0.382770
- 2022-02-12 11:09:04,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.231787, best_loss=0.229727
- 2022-02-12 11:09:05,113 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216369, best_loss=0.216568
- 2022-02-12 11:09:05,143 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:09:05,144 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.14250111579895s
- 2022-02-12 11:09:05,144 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:09:05,144 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:09:05,144 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 214
- 2022-02-12 11:09:05,260 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.243085 Loss2 0.356795
- 2022-02-12 11:09:20,314 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.232037, best_loss=0.229727
- 2022-02-12 11:09:21,385 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216100, best_loss=0.216369
- 2022-02-12 11:09:21,415 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:09:21,416 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.271999835968018s
- 2022-02-12 11:09:21,416 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:09:21,416 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:09:21,416 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 215
- 2022-02-12 11:09:21,524 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215910 Loss2 0.330320
- 2022-02-12 11:09:36,556 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230438, best_loss=0.229727
- 2022-02-12 11:09:37,628 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215833, best_loss=0.216100
- 2022-02-12 11:09:37,656 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:09:37,657 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2409987449646s
- 2022-02-12 11:09:37,657 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:09:37,657 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:09:37,657 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 216
- 2022-02-12 11:09:37,772 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.245573 Loss2 0.355414
- 2022-02-12 11:09:52,630 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230465, best_loss=0.229727
- 2022-02-12 11:09:53,713 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215627, best_loss=0.215833
- 2022-02-12 11:09:53,743 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:09:53,744 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08700132369995s
- 2022-02-12 11:09:53,744 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:09:53,744 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:09:53,744 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 217
- 2022-02-12 11:09:53,859 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195135 Loss2 0.316919
- 2022-02-12 11:10:09,087 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230497, best_loss=0.229727
- 2022-02-12 11:10:10,155 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215494, best_loss=0.215627
- 2022-02-12 11:10:10,182 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:10:10,183 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43850040435791s
- 2022-02-12 11:10:10,183 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:10:10,183 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:10:10,183 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 218
- 2022-02-12 11:10:10,293 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.231834 Loss2 0.366677
- 2022-02-12 11:10:25,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230088, best_loss=0.229727
- 2022-02-12 11:10:26,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215235, best_loss=0.215494
- 2022-02-12 11:10:26,510 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:10:26,510 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.327500104904175s
- 2022-02-12 11:10:26,510 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:10:26,510 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:10:26,510 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 219
- 2022-02-12 11:10:26,625 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.233850 Loss2 0.364463
- 2022-02-12 11:10:41,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230405, best_loss=0.229727
- 2022-02-12 11:10:42,574 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215021, best_loss=0.215235
- 2022-02-12 11:10:42,603 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:10:42,604 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.093502521514893s
- 2022-02-12 11:10:42,604 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:10:42,604 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:10:42,604 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 220
- 2022-02-12 11:10:42,722 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222676 Loss2 0.363234
- 2022-02-12 11:10:57,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229889, best_loss=0.229727
- 2022-02-12 11:10:58,699 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214756, best_loss=0.215021
- 2022-02-12 11:10:58,728 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:10:58,728 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.124000310897827s
- 2022-02-12 11:10:58,728 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:10:58,728 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:10:58,728 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 221
- 2022-02-12 11:10:58,843 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213402 Loss2 0.343861
- 2022-02-12 11:11:13,821 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229725, best_loss=0.229727
- 2022-02-12 11:11:13,850 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:11:14,926 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214585, best_loss=0.214756
- 2022-02-12 11:11:14,954 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:11:14,955 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2264986038208s
- 2022-02-12 11:11:14,955 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:11:14,955 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:11:14,955 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 222
- 2022-02-12 11:11:15,068 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193176 Loss2 0.363587
- 2022-02-12 11:11:30,144 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230243, best_loss=0.229725
- 2022-02-12 11:11:31,214 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214453, best_loss=0.214585
- 2022-02-12 11:11:31,240 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:11:31,240 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.285003185272217s
- 2022-02-12 11:11:31,240 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:11:31,240 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:11:31,240 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 223
- 2022-02-12 11:11:31,356 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220052 Loss2 0.376642
- 2022-02-12 11:11:46,386 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.230289, best_loss=0.229725
- 2022-02-12 11:11:47,451 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214147, best_loss=0.214453
- 2022-02-12 11:11:47,477 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:11:47,478 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.237497806549072s
- 2022-02-12 11:11:47,478 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:11:47,478 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:11:47,478 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 224
- 2022-02-12 11:11:47,583 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.234555 Loss2 0.331780
- 2022-02-12 11:12:02,724 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229800, best_loss=0.229725
- 2022-02-12 11:12:03,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214028, best_loss=0.214147
- 2022-02-12 11:12:03,813 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:03,814 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.335999011993408s
- 2022-02-12 11:12:03,814 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:12:03,814 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:12:03,814 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 225
- 2022-02-12 11:12:03,930 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210950 Loss2 0.356971
- 2022-02-12 11:12:19,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228525, best_loss=0.229725
- 2022-02-12 11:12:19,085 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:20,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213893, best_loss=0.214028
- 2022-02-12 11:12:20,193 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:20,193 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37950086593628s
- 2022-02-12 11:12:20,193 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:12:20,194 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:12:20,194 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 226
- 2022-02-12 11:12:20,312 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220265 Loss2 0.369442
- 2022-02-12 11:12:35,581 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229721, best_loss=0.228525
- 2022-02-12 11:12:36,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213628, best_loss=0.213893
- 2022-02-12 11:12:36,663 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:36,664 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.47000002861023s
- 2022-02-12 11:12:36,664 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:12:36,664 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:12:36,664 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 227
- 2022-02-12 11:12:36,777 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201097 Loss2 0.330234
- 2022-02-12 11:12:51,771 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228484, best_loss=0.228525
- 2022-02-12 11:12:51,800 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:52,875 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213425, best_loss=0.213628
- 2022-02-12 11:12:52,902 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:12:52,902 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.238500118255615s
- 2022-02-12 11:12:52,902 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:12:52,902 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:12:52,902 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 228
- 2022-02-12 11:12:53,008 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.233014 Loss2 0.365160
- 2022-02-12 11:13:07,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229613, best_loss=0.228484
- 2022-02-12 11:13:09,047 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213275, best_loss=0.213425
- 2022-02-12 11:13:09,073 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:09,074 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.171499490737915s
- 2022-02-12 11:13:09,074 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:13:09,074 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:13:09,074 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 229
- 2022-02-12 11:13:09,195 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219673 Loss2 0.407224
- 2022-02-12 11:13:24,264 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227794, best_loss=0.228484
- 2022-02-12 11:13:24,293 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:25,361 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213187, best_loss=0.213275
- 2022-02-12 11:13:25,391 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:25,392 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.317500114440918s
- 2022-02-12 11:13:25,392 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:13:25,392 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:13:25,392 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 230
- 2022-02-12 11:13:25,502 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201450 Loss2 0.318817
- 2022-02-12 11:13:40,455 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227748, best_loss=0.227794
- 2022-02-12 11:13:40,480 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:41,551 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213051, best_loss=0.213187
- 2022-02-12 11:13:41,578 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:41,579 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.187001705169678s
- 2022-02-12 11:13:41,579 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:13:41,579 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:13:41,579 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 231
- 2022-02-12 11:13:41,696 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.225160 Loss2 0.358995
- 2022-02-12 11:13:56,472 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228045, best_loss=0.227748
- 2022-02-12 11:13:57,562 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213023, best_loss=0.213051
- 2022-02-12 11:13:57,588 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:13:57,589 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.009999990463257s
- 2022-02-12 11:13:57,589 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:13:57,589 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:13:57,589 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 232
- 2022-02-12 11:13:57,698 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217201 Loss2 0.381880
- 2022-02-12 11:14:12,849 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.229705, best_loss=0.227748
- 2022-02-12 11:14:13,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213025, best_loss=0.213023
- 2022-02-12 11:14:13,933 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.344000339508057s
- 2022-02-12 11:14:13,933 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:14:13,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:14:13,933 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 233
- 2022-02-12 11:14:14,044 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219906 Loss2 0.366978
- 2022-02-12 11:14:29,110 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227861, best_loss=0.227748
- 2022-02-12 11:14:30,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212892, best_loss=0.213023
- 2022-02-12 11:14:30,182 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:14:30,183 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.249000072479248s
- 2022-02-12 11:14:30,183 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:14:30,183 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:14:30,183 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 234
- 2022-02-12 11:14:30,295 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.243872 Loss2 0.382567
- 2022-02-12 11:14:45,357 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227773, best_loss=0.227748
- 2022-02-12 11:14:46,442 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212864, best_loss=0.212892
- 2022-02-12 11:14:46,469 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:14:46,469 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.286500453948975s
- 2022-02-12 11:14:46,469 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:14:46,470 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:14:46,470 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 235
- 2022-02-12 11:14:46,580 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.258663 Loss2 0.370291
- 2022-02-12 11:15:01,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227667, best_loss=0.227748
- 2022-02-12 11:15:01,700 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:02,772 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212653, best_loss=0.212864
- 2022-02-12 11:15:02,800 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:02,800 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33050012588501s
- 2022-02-12 11:15:02,801 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:15:02,801 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:15:02,801 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 236
- 2022-02-12 11:15:02,911 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.236228 Loss2 0.388880
- 2022-02-12 11:15:18,013 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228154, best_loss=0.227667
- 2022-02-12 11:15:19,080 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212543, best_loss=0.212653
- 2022-02-12 11:15:19,106 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:19,107 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30600094795227s
- 2022-02-12 11:15:19,107 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:15:19,107 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:15:19,107 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 237
- 2022-02-12 11:15:19,220 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214502 Loss2 0.364053
- 2022-02-12 11:15:34,271 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228540, best_loss=0.227667
- 2022-02-12 11:15:35,345 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212363, best_loss=0.212543
- 2022-02-12 11:15:35,372 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:35,372 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26500153541565s
- 2022-02-12 11:15:35,372 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:15:35,372 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:15:35,372 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 238
- 2022-02-12 11:15:35,487 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.242320 Loss2 0.344926
- 2022-02-12 11:15:50,406 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226527, best_loss=0.227667
- 2022-02-12 11:15:50,433 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:51,514 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212250, best_loss=0.212363
- 2022-02-12 11:15:51,547 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:15:51,548 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17549991607666s
- 2022-02-12 11:15:51,548 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:15:51,548 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:15:51,548 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 239
- 2022-02-12 11:15:51,655 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.245514 Loss2 0.387017
- 2022-02-12 11:16:06,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227291, best_loss=0.226527
- 2022-02-12 11:16:07,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212083, best_loss=0.212250
- 2022-02-12 11:16:07,709 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:16:07,710 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1614990234375s
- 2022-02-12 11:16:07,710 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:16:07,710 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:16:07,710 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 240
- 2022-02-12 11:16:07,816 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.227403 Loss2 0.348003
- 2022-02-12 11:16:22,794 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227647, best_loss=0.226527
- 2022-02-12 11:16:23,844 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211969, best_loss=0.212083
- 2022-02-12 11:16:23,872 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:16:23,873 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.162500619888306s
- 2022-02-12 11:16:23,873 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:16:23,873 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:16:23,873 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 241
- 2022-02-12 11:16:23,989 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199066 Loss2 0.359016
- 2022-02-12 11:16:38,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227650, best_loss=0.226527
- 2022-02-12 11:16:39,904 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211936, best_loss=0.211969
- 2022-02-12 11:16:39,930 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:16:39,930 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.057501077651978s
- 2022-02-12 11:16:39,930 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:16:39,930 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:16:39,930 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 242
- 2022-02-12 11:16:40,036 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216572 Loss2 0.355316
- 2022-02-12 11:16:55,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228380, best_loss=0.226527
- 2022-02-12 11:16:56,147 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211801, best_loss=0.211936
- 2022-02-12 11:16:56,174 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:16:56,175 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24400043487549s
- 2022-02-12 11:16:56,175 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:16:56,175 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:16:56,175 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 243
- 2022-02-12 11:16:56,288 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.247218 Loss2 0.393774
- 2022-02-12 11:17:11,271 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226888, best_loss=0.226527
- 2022-02-12 11:17:12,321 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211730, best_loss=0.211801
- 2022-02-12 11:17:12,348 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:17:12,349 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1740243434906s
- 2022-02-12 11:17:12,349 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:17:12,349 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:17:12,349 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 244
- 2022-02-12 11:17:12,463 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.238159 Loss2 0.391148
- 2022-02-12 11:17:27,505 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226268, best_loss=0.226527
- 2022-02-12 11:17:27,533 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:17:28,609 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211662, best_loss=0.211730
- 2022-02-12 11:17:28,637 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:17:28,638 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.289502382278442s
- 2022-02-12 11:17:28,638 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:17:28,638 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:17:28,638 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 245
- 2022-02-12 11:17:28,746 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228792 Loss2 0.338097
- 2022-02-12 11:17:43,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226894, best_loss=0.226268
- 2022-02-12 11:17:44,762 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211556, best_loss=0.211662
- 2022-02-12 11:17:44,790 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:17:44,791 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.152472972869873s
- 2022-02-12 11:17:44,791 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:17:44,791 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:17:44,791 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 246
- 2022-02-12 11:17:44,903 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229926 Loss2 0.376735
- 2022-02-12 11:17:59,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225595, best_loss=0.226268
- 2022-02-12 11:17:59,993 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:18:01,070 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211563, best_loss=0.211556
- 2022-02-12 11:18:01,071 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27950143814087s
- 2022-02-12 11:18:01,071 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:18:01,071 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:18:01,071 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 247
- 2022-02-12 11:18:01,183 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192589 Loss2 0.376763
- 2022-02-12 11:18:16,333 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226600, best_loss=0.225595
- 2022-02-12 11:18:17,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211426, best_loss=0.211556
- 2022-02-12 11:18:17,438 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:18:17,438 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.367003440856934s
- 2022-02-12 11:18:17,438 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:18:17,438 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:18:17,438 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 248
- 2022-02-12 11:18:17,548 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190649 Loss2 0.344107
- 2022-02-12 11:18:32,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226993, best_loss=0.225595
- 2022-02-12 11:18:33,547 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211272, best_loss=0.211426
- 2022-02-12 11:18:33,576 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:18:33,576 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.138000011444092s
- 2022-02-12 11:18:33,576 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:18:33,577 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:18:33,577 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 249
- 2022-02-12 11:18:33,695 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.228350 Loss2 0.378590
- 2022-02-12 11:18:48,820 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227239, best_loss=0.225595
- 2022-02-12 11:18:49,888 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211042, best_loss=0.211272
- 2022-02-12 11:18:49,916 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:18:49,917 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33999538421631s
- 2022-02-12 11:18:49,917 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:18:49,917 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:18:49,917 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 250
- 2022-02-12 11:18:50,037 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208988 Loss2 0.388818
- 2022-02-12 11:19:05,188 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226312, best_loss=0.225595
- 2022-02-12 11:19:06,256 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210913, best_loss=0.211042
- 2022-02-12 11:19:06,284 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:06,285 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.368003845214844s
- 2022-02-12 11:19:06,285 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:19:06,285 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:19:06,285 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 251
- 2022-02-12 11:19:06,401 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.211615 Loss2 0.348978
- 2022-02-12 11:19:21,421 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225420, best_loss=0.225595
- 2022-02-12 11:19:21,449 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:22,521 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210750, best_loss=0.210913
- 2022-02-12 11:19:22,550 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:22,550 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.264968633651733s
- 2022-02-12 11:19:22,550 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:19:22,550 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:19:22,550 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 252
- 2022-02-12 11:19:22,673 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204216 Loss2 0.354942
- 2022-02-12 11:19:37,730 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224426, best_loss=0.225420
- 2022-02-12 11:19:37,756 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:38,832 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210647, best_loss=0.210750
- 2022-02-12 11:19:38,862 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:38,863 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.312530994415283s
- 2022-02-12 11:19:38,863 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:19:38,863 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:19:38,863 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 253
- 2022-02-12 11:19:38,978 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.227299 Loss2 0.349322
- 2022-02-12 11:19:54,204 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224893, best_loss=0.224426
- 2022-02-12 11:19:55,270 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210534, best_loss=0.210647
- 2022-02-12 11:19:55,298 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:19:55,299 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43596887588501s
- 2022-02-12 11:19:55,299 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:19:55,299 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:19:55,299 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 254
- 2022-02-12 11:19:55,415 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206801 Loss2 0.355518
- 2022-02-12 11:20:10,355 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.227718, best_loss=0.224426
- 2022-02-12 11:20:11,421 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210421, best_loss=0.210534
- 2022-02-12 11:20:11,453 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:20:11,453 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.154003143310547s
- 2022-02-12 11:20:11,453 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:20:11,453 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:20:11,453 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 255
- 2022-02-12 11:20:11,571 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.221613 Loss2 0.390087
- 2022-02-12 11:20:26,490 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226372, best_loss=0.224426
- 2022-02-12 11:20:27,510 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210421, best_loss=0.210421
- 2022-02-12 11:20:27,541 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:20:27,541 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08799958229065s
- 2022-02-12 11:20:27,541 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:20:27,541 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:20:27,542 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 256
- 2022-02-12 11:20:27,644 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222877 Loss2 0.377929
- 2022-02-12 11:20:42,764 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225646, best_loss=0.224426
- 2022-02-12 11:20:43,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210315, best_loss=0.210421
- 2022-02-12 11:20:43,869 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:20:43,870 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3285014629364s
- 2022-02-12 11:20:43,870 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:20:43,870 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:20:43,870 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 257
- 2022-02-12 11:20:43,986 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.246520 Loss2 0.389387
- 2022-02-12 11:20:58,880 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225938, best_loss=0.224426
- 2022-02-12 11:20:59,943 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210137, best_loss=0.210315
- 2022-02-12 11:20:59,973 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:20:59,973 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1030011177063s
- 2022-02-12 11:20:59,973 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:20:59,973 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:20:59,973 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 258
- 2022-02-12 11:21:00,079 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202771 Loss2 0.342954
- 2022-02-12 11:21:15,198 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226196, best_loss=0.224426
- 2022-02-12 11:21:16,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210158, best_loss=0.210137
- 2022-02-12 11:21:16,261 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.28799843788147s
- 2022-02-12 11:21:16,262 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:21:16,262 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:21:16,262 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 259
- 2022-02-12 11:21:16,370 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204893 Loss2 0.343468
- 2022-02-12 11:21:31,361 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225028, best_loss=0.224426
- 2022-02-12 11:21:32,440 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210024, best_loss=0.210137
- 2022-02-12 11:21:32,470 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:21:32,470 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.208499670028687s
- 2022-02-12 11:21:32,471 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:21:32,471 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:21:32,471 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 260
- 2022-02-12 11:21:32,586 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.231812 Loss2 0.359408
- 2022-02-12 11:21:47,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225725, best_loss=0.224426
- 2022-02-12 11:21:48,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209986, best_loss=0.210024
- 2022-02-12 11:21:48,513 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:21:48,514 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.04350233078003s
- 2022-02-12 11:21:48,514 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:21:48,514 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:21:48,514 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 261
- 2022-02-12 11:21:48,627 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198970 Loss2 0.367884
- 2022-02-12 11:22:03,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224722, best_loss=0.224426
- 2022-02-12 11:22:04,834 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209946, best_loss=0.209986
- 2022-02-12 11:22:04,862 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:22:04,862 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.347997426986694s
- 2022-02-12 11:22:04,862 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:22:04,862 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:22:04,862 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 262
- 2022-02-12 11:22:04,973 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214129 Loss2 0.349624
- 2022-02-12 11:22:20,096 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225395, best_loss=0.224426
- 2022-02-12 11:22:21,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209874, best_loss=0.209946
- 2022-02-12 11:22:21,182 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:22:21,183 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.32099962234497s
- 2022-02-12 11:22:21,183 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:22:21,183 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:22:21,183 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 263
- 2022-02-12 11:22:21,285 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205207 Loss2 0.337351
- 2022-02-12 11:22:36,424 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226194, best_loss=0.224426
- 2022-02-12 11:22:37,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209802, best_loss=0.209874
- 2022-02-12 11:22:37,553 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:22:37,554 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37050175666809s
- 2022-02-12 11:22:37,554 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:22:37,554 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:22:37,554 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 264
- 2022-02-12 11:22:37,677 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216443 Loss2 0.362075
- 2022-02-12 11:22:52,648 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225940, best_loss=0.224426
- 2022-02-12 11:22:53,735 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209725, best_loss=0.209802
- 2022-02-12 11:22:53,762 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:22:53,762 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.208001375198364s
- 2022-02-12 11:22:53,763 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:22:53,763 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:22:53,763 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 265
- 2022-02-12 11:22:53,881 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200440 Loss2 0.353469
- 2022-02-12 11:23:09,173 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225929, best_loss=0.224426
- 2022-02-12 11:23:10,244 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209577, best_loss=0.209725
- 2022-02-12 11:23:10,271 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:23:10,271 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.508498191833496s
- 2022-02-12 11:23:10,271 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:23:10,271 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:23:10,271 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 266
- 2022-02-12 11:23:10,386 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200133 Loss2 0.333868
- 2022-02-12 11:23:25,348 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225372, best_loss=0.224426
- 2022-02-12 11:23:26,425 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209588, best_loss=0.209577
- 2022-02-12 11:23:26,426 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.154501914978027s
- 2022-02-12 11:23:26,426 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:23:26,426 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:23:26,426 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 267
- 2022-02-12 11:23:26,540 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210502 Loss2 0.377078
- 2022-02-12 11:23:41,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224494, best_loss=0.224426
- 2022-02-12 11:23:42,701 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209475, best_loss=0.209577
- 2022-02-12 11:23:42,727 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:23:42,728 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30150079727173s
- 2022-02-12 11:23:42,728 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:23:42,728 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:23:42,728 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 268
- 2022-02-12 11:23:42,836 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220276 Loss2 0.338687
- 2022-02-12 11:23:57,912 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224628, best_loss=0.224426
- 2022-02-12 11:23:58,988 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209309, best_loss=0.209475
- 2022-02-12 11:23:59,015 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:23:59,015 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.28749966621399s
- 2022-02-12 11:23:59,015 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:23:59,015 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:23:59,015 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 269
- 2022-02-12 11:23:59,140 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.221307 Loss2 0.430480
- 2022-02-12 11:24:14,345 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225009, best_loss=0.224426
- 2022-02-12 11:24:15,403 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209224, best_loss=0.209309
- 2022-02-12 11:24:15,432 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:24:15,432 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.416998624801636s
- 2022-02-12 11:24:15,432 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:24:15,432 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:24:15,432 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 270
- 2022-02-12 11:24:15,559 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222478 Loss2 0.359963
- 2022-02-12 11:24:30,645 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223763, best_loss=0.224426
- 2022-02-12 11:24:30,674 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:24:31,713 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209154, best_loss=0.209224
- 2022-02-12 11:24:31,741 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:24:31,742 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.310000896453857s
- 2022-02-12 11:24:31,742 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:24:31,742 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:24:31,742 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 271
- 2022-02-12 11:24:31,861 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.209808 Loss2 0.333640
- 2022-02-12 11:24:46,695 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225156, best_loss=0.223763
- 2022-02-12 11:24:47,768 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209032, best_loss=0.209154
- 2022-02-12 11:24:47,796 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:24:47,797 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05450177192688s
- 2022-02-12 11:24:47,797 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:24:47,797 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:24:47,797 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 272
- 2022-02-12 11:24:47,931 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207882 Loss2 0.348681
- 2022-02-12 11:25:03,185 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226127, best_loss=0.223763
- 2022-02-12 11:25:04,257 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209021, best_loss=0.209032
- 2022-02-12 11:25:04,284 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:25:04,285 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.488497257232666s
- 2022-02-12 11:25:04,285 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:25:04,285 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:25:04,285 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 273
- 2022-02-12 11:25:04,401 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.218580 Loss2 0.432810
- 2022-02-12 11:25:19,611 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224033, best_loss=0.223763
- 2022-02-12 11:25:20,673 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208897, best_loss=0.209021
- 2022-02-12 11:25:20,700 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:25:20,700 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.415000915527344s
- 2022-02-12 11:25:20,700 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:25:20,700 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:25:20,700 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 274
- 2022-02-12 11:25:20,808 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.240461 Loss2 0.394741
- 2022-02-12 11:25:35,838 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225638, best_loss=0.223763
- 2022-02-12 11:25:36,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208794, best_loss=0.208897
- 2022-02-12 11:25:36,934 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:25:36,935 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23449993133545s
- 2022-02-12 11:25:36,935 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:25:36,935 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:25:36,935 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 275
- 2022-02-12 11:25:37,046 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214781 Loss2 0.356056
- 2022-02-12 11:25:52,027 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222930, best_loss=0.223763
- 2022-02-12 11:25:52,056 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:25:53,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208676, best_loss=0.208794
- 2022-02-12 11:25:53,130 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:25:53,131 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.196028470993042s
- 2022-02-12 11:25:53,131 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:25:53,131 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:25:53,131 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 276
- 2022-02-12 11:25:53,253 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.232544 Loss2 0.338135
- 2022-02-12 11:26:08,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224092, best_loss=0.222930
- 2022-02-12 11:26:09,353 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208524, best_loss=0.208676
- 2022-02-12 11:26:09,381 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:26:09,382 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.250471115112305s
- 2022-02-12 11:26:09,382 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:26:09,382 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:26:09,382 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 277
- 2022-02-12 11:26:09,494 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207203 Loss2 0.371703
- 2022-02-12 11:26:24,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.226226, best_loss=0.222930
- 2022-02-12 11:26:25,618 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208364, best_loss=0.208524
- 2022-02-12 11:26:25,644 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:26:25,645 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26249933242798s
- 2022-02-12 11:26:25,645 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:26:25,645 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:26:25,645 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 278
- 2022-02-12 11:26:25,757 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.238873 Loss2 0.350207
- 2022-02-12 11:26:40,816 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224165, best_loss=0.222930
- 2022-02-12 11:26:41,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208363, best_loss=0.208364
- 2022-02-12 11:26:41,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:26:41,914 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.269003868103027s
- 2022-02-12 11:26:41,914 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:26:41,914 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:26:41,914 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 279
- 2022-02-12 11:26:42,030 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.232767 Loss2 0.327841
- 2022-02-12 11:26:57,038 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223667, best_loss=0.222930
- 2022-02-12 11:26:58,117 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208299, best_loss=0.208363
- 2022-02-12 11:26:58,144 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:26:58,145 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23050045967102s
- 2022-02-12 11:26:58,145 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:26:58,145 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:26:58,145 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 280
- 2022-02-12 11:26:58,258 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217046 Loss2 0.408835
- 2022-02-12 11:27:13,246 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223296, best_loss=0.222930
- 2022-02-12 11:27:14,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208190, best_loss=0.208299
- 2022-02-12 11:27:14,344 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:27:14,345 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19999670982361s
- 2022-02-12 11:27:14,345 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:27:14,345 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:27:14,345 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 281
- 2022-02-12 11:27:14,457 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205379 Loss2 0.329355
- 2022-02-12 11:27:29,365 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.225346, best_loss=0.222930
- 2022-02-12 11:27:30,391 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208160, best_loss=0.208190
- 2022-02-12 11:27:30,417 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:27:30,418 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.072498559951782s
- 2022-02-12 11:27:30,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:27:30,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:27:30,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 282
- 2022-02-12 11:27:30,523 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.263731 Loss2 0.372096
- 2022-02-12 11:27:45,868 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223664, best_loss=0.222930
- 2022-02-12 11:27:46,929 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208109, best_loss=0.208160
- 2022-02-12 11:27:46,956 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:27:46,956 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53850245475769s
- 2022-02-12 11:27:46,956 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:27:46,956 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:27:46,956 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 283
- 2022-02-12 11:27:47,063 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213535 Loss2 0.326011
- 2022-02-12 11:28:02,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223027, best_loss=0.222930
- 2022-02-12 11:28:03,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208051, best_loss=0.208109
- 2022-02-12 11:28:03,248 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:28:03,248 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.291999578475952s
- 2022-02-12 11:28:03,248 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:28:03,248 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:28:03,248 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 284
- 2022-02-12 11:28:03,365 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.212291 Loss2 0.312290
- 2022-02-12 11:28:18,523 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222974, best_loss=0.222930
- 2022-02-12 11:28:19,606 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207981, best_loss=0.208051
- 2022-02-12 11:28:19,634 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:28:19,635 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.386500120162964s
- 2022-02-12 11:28:19,635 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:28:19,635 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:28:19,635 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 285
- 2022-02-12 11:28:19,744 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222396 Loss2 0.357561
- 2022-02-12 11:28:34,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223879, best_loss=0.222930
- 2022-02-12 11:28:35,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207832, best_loss=0.207981
- 2022-02-12 11:28:35,805 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:28:35,805 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.170000553131104s
- 2022-02-12 11:28:35,805 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:28:35,806 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:28:35,806 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 286
- 2022-02-12 11:28:35,915 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203617 Loss2 0.339507
- 2022-02-12 11:28:50,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.224104, best_loss=0.222930
- 2022-02-12 11:28:52,030 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207796, best_loss=0.207832
- 2022-02-12 11:28:52,059 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:28:52,059 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.253497838974s
- 2022-02-12 11:28:52,059 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:28:52,059 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:28:52,059 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 287
- 2022-02-12 11:28:52,165 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214992 Loss2 0.298018
- 2022-02-12 11:29:07,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.228395, best_loss=0.222930
- 2022-02-12 11:29:08,220 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207700, best_loss=0.207796
- 2022-02-12 11:29:08,249 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:08,250 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.190468072891235s
- 2022-02-12 11:29:08,250 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:29:08,250 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:29:08,250 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 288
- 2022-02-12 11:29:08,368 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.243614 Loss2 0.391160
- 2022-02-12 11:29:23,487 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222793, best_loss=0.222930
- 2022-02-12 11:29:23,516 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:24,589 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207587, best_loss=0.207700
- 2022-02-12 11:29:24,616 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:24,617 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.367002725601196s
- 2022-02-12 11:29:24,617 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:29:24,617 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:29:24,617 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 289
- 2022-02-12 11:29:24,729 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192997 Loss2 0.347818
- 2022-02-12 11:29:39,720 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222565, best_loss=0.222793
- 2022-02-12 11:29:39,749 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:40,822 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207506, best_loss=0.207587
- 2022-02-12 11:29:40,850 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:40,850 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.232999086380005s
- 2022-02-12 11:29:40,850 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:29:40,850 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:29:40,851 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 290
- 2022-02-12 11:29:40,984 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.241076 Loss2 0.356788
- 2022-02-12 11:29:55,873 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221597, best_loss=0.222565
- 2022-02-12 11:29:55,903 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:56,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207407, best_loss=0.207506
- 2022-02-12 11:29:56,996 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:29:56,997 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.145998239517212s
- 2022-02-12 11:29:56,997 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:29:56,997 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:29:56,997 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 291
- 2022-02-12 11:29:57,109 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201614 Loss2 0.336087
- 2022-02-12 11:30:12,360 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222056, best_loss=0.221597
- 2022-02-12 11:30:13,427 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207249, best_loss=0.207407
- 2022-02-12 11:30:13,454 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:30:13,455 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.45750093460083s
- 2022-02-12 11:30:13,455 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:30:13,455 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:30:13,455 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 292
- 2022-02-12 11:30:13,582 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217948 Loss2 0.343249
- 2022-02-12 11:30:28,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222403, best_loss=0.221597
- 2022-02-12 11:30:29,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207146, best_loss=0.207249
- 2022-02-12 11:30:29,877 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:30:29,877 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42200016975403s
- 2022-02-12 11:30:29,878 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:30:29,878 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:30:29,878 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 293
- 2022-02-12 11:30:30,005 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194117 Loss2 0.336263
- 2022-02-12 11:30:44,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222178, best_loss=0.221597
- 2022-02-12 11:30:45,973 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207034, best_loss=0.207146
- 2022-02-12 11:30:46,002 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:30:46,002 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12450098991394s
- 2022-02-12 11:30:46,002 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:30:46,002 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:30:46,002 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 294
- 2022-02-12 11:30:46,121 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201619 Loss2 0.359879
- 2022-02-12 11:31:01,091 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221639, best_loss=0.221597
- 2022-02-12 11:31:02,162 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206895, best_loss=0.207034
- 2022-02-12 11:31:02,190 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:31:02,190 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.188000679016113s
- 2022-02-12 11:31:02,191 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:31:02,191 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:31:02,191 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 295
- 2022-02-12 11:31:02,315 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.229128 Loss2 0.351083
- 2022-02-12 11:31:17,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222318, best_loss=0.221597
- 2022-02-12 11:31:18,370 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206822, best_loss=0.206895
- 2022-02-12 11:31:18,398 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:31:18,398 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.207497358322144s
- 2022-02-12 11:31:18,398 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:31:18,398 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:31:18,398 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 296
- 2022-02-12 11:31:18,505 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230569 Loss2 0.380997
- 2022-02-12 11:31:33,585 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221538, best_loss=0.221597
- 2022-02-12 11:31:33,612 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:31:34,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206836, best_loss=0.206822
- 2022-02-12 11:31:34,676 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27800178527832s
- 2022-02-12 11:31:34,676 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:31:34,676 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:31:34,676 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 297
- 2022-02-12 11:31:34,791 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199117 Loss2 0.372327
- 2022-02-12 11:31:49,771 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.223053, best_loss=0.221538
- 2022-02-12 11:31:50,842 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206710, best_loss=0.206822
- 2022-02-12 11:31:50,871 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:31:50,872 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195500373840332s
- 2022-02-12 11:31:50,872 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:31:50,872 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:31:50,872 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 298
- 2022-02-12 11:31:50,977 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.224824 Loss2 0.341847
- 2022-02-12 11:32:06,128 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221177, best_loss=0.221538
- 2022-02-12 11:32:06,156 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:32:07,232 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206680, best_loss=0.206710
- 2022-02-12 11:32:07,259 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:32:07,260 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.388497829437256s
- 2022-02-12 11:32:07,260 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:32:07,260 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:32:07,260 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 299
- 2022-02-12 11:32:07,368 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219625 Loss2 0.350648
- 2022-02-12 11:32:22,371 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220808, best_loss=0.221177
- 2022-02-12 11:32:22,399 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:32:23,488 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206705, best_loss=0.206680
- 2022-02-12 11:32:23,489 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.228500604629517s
- 2022-02-12 11:32:23,489 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:32:23,489 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:32:23,489 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 300
- 2022-02-12 11:32:23,605 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230261 Loss2 0.356285
- 2022-02-12 11:32:38,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220860, best_loss=0.220808
- 2022-02-12 11:32:39,827 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206677, best_loss=0.206680
- 2022-02-12 11:32:39,857 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:32:39,858 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36850142478943s
- 2022-02-12 11:32:39,858 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:32:39,858 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:32:39,858 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 301
- 2022-02-12 11:32:39,973 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230711 Loss2 0.345911
- 2022-02-12 11:32:54,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221224, best_loss=0.220808
- 2022-02-12 11:32:55,921 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206573, best_loss=0.206677
- 2022-02-12 11:32:55,948 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:32:55,949 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.090999364852905s
- 2022-02-12 11:32:55,949 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:32:55,949 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:32:55,949 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 302
- 2022-02-12 11:32:56,057 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202334 Loss2 0.347458
- 2022-02-12 11:33:11,215 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221347, best_loss=0.220808
- 2022-02-12 11:33:12,298 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206438, best_loss=0.206573
- 2022-02-12 11:33:12,327 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:33:12,328 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.378530979156494s
- 2022-02-12 11:33:12,328 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:33:12,328 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:33:12,328 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 303
- 2022-02-12 11:33:12,438 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192685 Loss2 0.329270
- 2022-02-12 11:33:27,415 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221212, best_loss=0.220808
- 2022-02-12 11:33:28,487 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206324, best_loss=0.206438
- 2022-02-12 11:33:28,517 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:33:28,518 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.189971446990967s
- 2022-02-12 11:33:28,518 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:33:28,518 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:33:28,518 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 304
- 2022-02-12 11:33:28,645 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213055 Loss2 0.351592
- 2022-02-12 11:33:43,764 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220007, best_loss=0.220808
- 2022-02-12 11:33:43,790 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:33:44,859 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206321, best_loss=0.206324
- 2022-02-12 11:33:44,886 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:33:44,887 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.368476152420044s
- 2022-02-12 11:33:44,887 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:33:44,887 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:33:44,887 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 305
- 2022-02-12 11:33:45,017 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198645 Loss2 0.346784
- 2022-02-12 11:34:00,151 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221160, best_loss=0.220007
- 2022-02-12 11:34:01,217 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206201, best_loss=0.206321
- 2022-02-12 11:34:01,247 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:34:01,248 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.360997676849365s
- 2022-02-12 11:34:01,248 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:34:01,248 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:34:01,248 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 306
- 2022-02-12 11:34:01,360 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.236412 Loss2 0.340952
- 2022-02-12 11:34:16,384 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222077, best_loss=0.220007
- 2022-02-12 11:34:17,440 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206235, best_loss=0.206201
- 2022-02-12 11:34:17,440 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19249963760376s
- 2022-02-12 11:34:17,440 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:34:17,440 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:34:17,440 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 307
- 2022-02-12 11:34:17,560 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.234022 Loss2 0.346324
- 2022-02-12 11:34:32,632 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.222257, best_loss=0.220007
- 2022-02-12 11:34:33,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206018, best_loss=0.206201
- 2022-02-12 11:34:33,740 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:34:33,741 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.300002336502075s
- 2022-02-12 11:34:33,741 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:34:33,741 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:34:33,741 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 308
- 2022-02-12 11:34:33,849 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186248 Loss2 0.354174
- 2022-02-12 11:34:49,047 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220839, best_loss=0.220007
- 2022-02-12 11:34:50,147 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205885, best_loss=0.206018
- 2022-02-12 11:34:50,175 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:34:50,176 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.434999704360962s
- 2022-02-12 11:34:50,176 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:34:50,176 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:34:50,176 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 309
- 2022-02-12 11:34:50,287 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204882 Loss2 0.343770
- 2022-02-12 11:35:05,361 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221777, best_loss=0.220007
- 2022-02-12 11:35:06,432 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205809, best_loss=0.205885
- 2022-02-12 11:35:06,460 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:35:06,461 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.284998655319214s
- 2022-02-12 11:35:06,461 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:35:06,461 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:35:06,461 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 310
- 2022-02-12 11:35:06,588 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201167 Loss2 0.314420
- 2022-02-12 11:35:21,506 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220046, best_loss=0.220007
- 2022-02-12 11:35:22,604 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205655, best_loss=0.205809
- 2022-02-12 11:35:22,632 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:35:22,633 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.172001123428345s
- 2022-02-12 11:35:22,633 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:35:22,633 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:35:22,633 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 311
- 2022-02-12 11:35:22,744 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189662 Loss2 0.332334
- 2022-02-12 11:35:37,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221320, best_loss=0.220007
- 2022-02-12 11:35:38,777 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205570, best_loss=0.205655
- 2022-02-12 11:35:38,805 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:35:38,806 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17250108718872s
- 2022-02-12 11:35:38,806 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:35:38,806 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:35:38,806 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 312
- 2022-02-12 11:35:38,922 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215541 Loss2 0.325014
- 2022-02-12 11:35:53,982 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220164, best_loss=0.220007
- 2022-02-12 11:35:55,064 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205392, best_loss=0.205570
- 2022-02-12 11:35:55,091 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:35:55,091 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.285499572753906s
- 2022-02-12 11:35:55,092 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:35:55,092 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:35:55,092 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 313
- 2022-02-12 11:35:55,207 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.255224 Loss2 0.366161
- 2022-02-12 11:36:10,130 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219977, best_loss=0.220007
- 2022-02-12 11:36:10,157 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:36:11,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205239, best_loss=0.205392
- 2022-02-12 11:36:11,250 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:36:11,251 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.158998250961304s
- 2022-02-12 11:36:11,251 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:36:11,251 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:36:11,251 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 314
- 2022-02-12 11:36:11,370 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.212725 Loss2 0.344809
- 2022-02-12 11:36:26,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.221895, best_loss=0.219977
- 2022-02-12 11:36:27,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205210, best_loss=0.205239
- 2022-02-12 11:36:27,616 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:36:27,616 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.365501880645752s
- 2022-02-12 11:36:27,616 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:36:27,616 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:36:27,616 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 315
- 2022-02-12 11:36:27,729 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199152 Loss2 0.302449
- 2022-02-12 11:36:42,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220074, best_loss=0.219977
- 2022-02-12 11:36:43,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205118, best_loss=0.205210
- 2022-02-12 11:36:43,840 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:36:43,840 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.223498344421387s
- 2022-02-12 11:36:43,840 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:36:43,840 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:36:43,841 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 316
- 2022-02-12 11:36:43,970 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191053 Loss2 0.306361
- 2022-02-12 11:36:59,054 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219687, best_loss=0.219977
- 2022-02-12 11:36:59,082 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:37:00,160 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205011, best_loss=0.205118
- 2022-02-12 11:37:00,187 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:37:00,188 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.347001314163208s
- 2022-02-12 11:37:00,188 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:37:00,188 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:37:00,188 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 317
- 2022-02-12 11:37:00,325 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206140 Loss2 0.339137
- 2022-02-12 11:37:15,330 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219290, best_loss=0.219687
- 2022-02-12 11:37:15,357 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:37:16,431 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204850, best_loss=0.205011
- 2022-02-12 11:37:16,459 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:37:16,459 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.271000623703003s
- 2022-02-12 11:37:16,459 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:37:16,459 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:37:16,459 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 318
- 2022-02-12 11:37:16,590 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.209790 Loss2 0.365153
- 2022-02-12 11:37:31,455 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219739, best_loss=0.219290
- 2022-02-12 11:37:32,525 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204751, best_loss=0.204850
- 2022-02-12 11:37:32,552 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:37:32,553 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.093531608581543s
- 2022-02-12 11:37:32,553 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:37:32,553 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:37:32,553 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 319
- 2022-02-12 11:37:32,672 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215288 Loss2 0.346690
- 2022-02-12 11:37:47,792 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219829, best_loss=0.219290
- 2022-02-12 11:37:48,870 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204780, best_loss=0.204751
- 2022-02-12 11:37:48,871 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.317968130111694s
- 2022-02-12 11:37:48,871 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:37:48,871 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:37:48,871 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 320
- 2022-02-12 11:37:48,989 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.219604 Loss2 0.359102
- 2022-02-12 11:38:04,177 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219775, best_loss=0.219290
- 2022-02-12 11:38:05,198 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204569, best_loss=0.204751
- 2022-02-12 11:38:05,228 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:05,228 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.357001781463623s
- 2022-02-12 11:38:05,229 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:38:05,229 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:38:05,229 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 321
- 2022-02-12 11:38:05,345 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190516 Loss2 0.373862
- 2022-02-12 11:38:20,385 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219008, best_loss=0.219290
- 2022-02-12 11:38:20,411 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:21,472 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204555, best_loss=0.204569
- 2022-02-12 11:38:21,498 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:21,498 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26950192451477s
- 2022-02-12 11:38:21,499 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:38:21,499 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:38:21,499 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 322
- 2022-02-12 11:38:21,612 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202442 Loss2 0.345218
- 2022-02-12 11:38:36,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218675, best_loss=0.219008
- 2022-02-12 11:38:36,644 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:37,725 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204347, best_loss=0.204555
- 2022-02-12 11:38:37,754 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:37,755 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.255983114242554s
- 2022-02-12 11:38:37,755 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:38:37,755 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:38:37,755 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 323
- 2022-02-12 11:38:37,862 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220162 Loss2 0.383296
- 2022-02-12 11:38:52,941 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219542, best_loss=0.218675
- 2022-02-12 11:38:54,014 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204321, best_loss=0.204347
- 2022-02-12 11:38:54,042 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:38:54,042 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.287025451660156s
- 2022-02-12 11:38:54,042 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:38:54,043 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:38:54,043 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 324
- 2022-02-12 11:38:54,163 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210504 Loss2 0.355421
- 2022-02-12 11:39:09,241 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219094, best_loss=0.218675
- 2022-02-12 11:39:10,309 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204236, best_loss=0.204321
- 2022-02-12 11:39:10,336 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:39:10,337 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.293967723846436s
- 2022-02-12 11:39:10,337 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:39:10,337 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:39:10,337 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 325
- 2022-02-12 11:39:10,457 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186958 Loss2 0.353181
- 2022-02-12 11:39:25,710 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218690, best_loss=0.218675
- 2022-02-12 11:39:26,783 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204203, best_loss=0.204236
- 2022-02-12 11:39:26,810 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:39:26,811 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.473998069763184s
- 2022-02-12 11:39:26,811 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:39:26,811 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:39:26,811 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 326
- 2022-02-12 11:39:26,919 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213147 Loss2 0.387646
- 2022-02-12 11:39:42,038 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219263, best_loss=0.218675
- 2022-02-12 11:39:43,115 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204187, best_loss=0.204203
- 2022-02-12 11:39:43,146 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:39:43,146 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.335500717163086s
- 2022-02-12 11:39:43,146 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:39:43,146 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:39:43,146 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 327
- 2022-02-12 11:39:43,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217324 Loss2 0.364046
- 2022-02-12 11:39:58,452 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219968, best_loss=0.218675
- 2022-02-12 11:39:59,524 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204136, best_loss=0.204187
- 2022-02-12 11:39:59,553 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:39:59,554 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.407500982284546s
- 2022-02-12 11:39:59,554 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:39:59,554 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:39:59,554 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 328
- 2022-02-12 11:39:59,666 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195523 Loss2 0.332026
- 2022-02-12 11:40:14,603 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218086, best_loss=0.218675
- 2022-02-12 11:40:14,629 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:40:15,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203752, best_loss=0.204136
- 2022-02-12 11:40:15,737 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:40:15,737 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.183024883270264s
- 2022-02-12 11:40:15,737 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:40:15,737 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:40:15,738 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 329
- 2022-02-12 11:40:15,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216482 Loss2 0.325486
- 2022-02-12 11:40:31,077 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218200, best_loss=0.218086
- 2022-02-12 11:40:32,134 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203595, best_loss=0.203752
- 2022-02-12 11:40:32,162 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:40:32,163 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42497491836548s
- 2022-02-12 11:40:32,163 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:40:32,163 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:40:32,163 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 330
- 2022-02-12 11:40:32,294 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215015 Loss2 0.384756
- 2022-02-12 11:40:47,438 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218563, best_loss=0.218086
- 2022-02-12 11:40:48,503 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203451, best_loss=0.203595
- 2022-02-12 11:40:48,531 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:40:48,532 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.368500471115112s
- 2022-02-12 11:40:48,532 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:40:48,532 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:40:48,532 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 331
- 2022-02-12 11:40:48,645 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190410 Loss2 0.363857
- 2022-02-12 11:41:03,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216982, best_loss=0.218086
- 2022-02-12 11:41:03,697 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:41:04,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203395, best_loss=0.203451
- 2022-02-12 11:41:04,812 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:41:04,813 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.280500411987305s
- 2022-02-12 11:41:04,813 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:41:04,813 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:41:04,813 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 332
- 2022-02-12 11:41:04,925 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190915 Loss2 0.329835
- 2022-02-12 11:41:20,035 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217368, best_loss=0.216982
- 2022-02-12 11:41:21,094 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203358, best_loss=0.203395
- 2022-02-12 11:41:21,122 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:41:21,122 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.309500455856323s
- 2022-02-12 11:41:21,122 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:41:21,122 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:41:21,123 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 333
- 2022-02-12 11:41:21,233 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207561 Loss2 0.363703
- 2022-02-12 11:41:36,468 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218054, best_loss=0.216982
- 2022-02-12 11:41:37,531 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203302, best_loss=0.203358
- 2022-02-12 11:41:37,559 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:41:37,559 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43650245666504s
- 2022-02-12 11:41:37,559 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:41:37,559 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:41:37,559 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 334
- 2022-02-12 11:41:37,666 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205860 Loss2 0.328515
- 2022-02-12 11:41:52,729 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.220277, best_loss=0.216982
- 2022-02-12 11:41:53,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203224, best_loss=0.203302
- 2022-02-12 11:41:53,824 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:41:53,824 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.264999389648438s
- 2022-02-12 11:41:53,825 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:41:53,825 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:41:53,825 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 335
- 2022-02-12 11:41:53,946 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216616 Loss2 0.384048
- 2022-02-12 11:42:09,272 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217912, best_loss=0.216982
- 2022-02-12 11:42:10,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203176, best_loss=0.203224
- 2022-02-12 11:42:10,365 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:42:10,365 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.54050040245056s
- 2022-02-12 11:42:10,365 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:42:10,366 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:42:10,366 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 336
- 2022-02-12 11:42:10,481 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199779 Loss2 0.336037
- 2022-02-12 11:42:25,478 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218546, best_loss=0.216982
- 2022-02-12 11:42:26,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203163, best_loss=0.203176
- 2022-02-12 11:42:26,568 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:42:26,569 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.203001737594604s
- 2022-02-12 11:42:26,569 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:42:26,569 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:42:26,569 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 337
- 2022-02-12 11:42:26,679 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222696 Loss2 0.382293
- 2022-02-12 11:42:41,715 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217950, best_loss=0.216982
- 2022-02-12 11:42:42,770 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203098, best_loss=0.203163
- 2022-02-12 11:42:42,798 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:42:42,798 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.229000568389893s
- 2022-02-12 11:42:42,798 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:42:42,799 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:42:42,799 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 338
- 2022-02-12 11:42:42,910 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216257 Loss2 0.336376
- 2022-02-12 11:42:57,761 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219571, best_loss=0.216982
- 2022-02-12 11:42:58,845 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202913, best_loss=0.203098
- 2022-02-12 11:42:58,874 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:42:58,874 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.075496673583984s
- 2022-02-12 11:42:58,875 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:42:58,875 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:42:58,875 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 339
- 2022-02-12 11:42:58,992 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194009 Loss2 0.347618
- 2022-02-12 11:43:14,285 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216291, best_loss=0.216982
- 2022-02-12 11:43:14,312 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:43:15,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202878, best_loss=0.202913
- 2022-02-12 11:43:15,409 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:43:15,409 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.534501552581787s
- 2022-02-12 11:43:15,410 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:43:15,410 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:43:15,410 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 340
- 2022-02-12 11:43:15,516 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193143 Loss2 0.334331
- 2022-02-12 11:43:30,489 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218029, best_loss=0.216291
- 2022-02-12 11:43:31,531 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202851, best_loss=0.202878
- 2022-02-12 11:43:31,561 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:43:31,561 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15149998664856s
- 2022-02-12 11:43:31,562 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:43:31,562 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:43:31,562 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 341
- 2022-02-12 11:43:31,675 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.217933 Loss2 0.397301
- 2022-02-12 11:43:46,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219874, best_loss=0.216291
- 2022-02-12 11:43:47,872 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202778, best_loss=0.202851
- 2022-02-12 11:43:47,899 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:43:47,900 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33799910545349s
- 2022-02-12 11:43:47,900 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:43:47,900 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:43:47,900 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 342
- 2022-02-12 11:43:48,006 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214236 Loss2 0.349732
- 2022-02-12 11:44:02,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.219357, best_loss=0.216291
- 2022-02-12 11:44:04,011 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202644, best_loss=0.202778
- 2022-02-12 11:44:04,038 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:44:04,038 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.138501167297363s
- 2022-02-12 11:44:04,038 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:44:04,038 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:44:04,039 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 343
- 2022-02-12 11:44:04,149 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199046 Loss2 0.359081
- 2022-02-12 11:44:18,982 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218061, best_loss=0.216291
- 2022-02-12 11:44:20,006 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202571, best_loss=0.202644
- 2022-02-12 11:44:20,033 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:44:20,034 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.994999885559082s
- 2022-02-12 11:44:20,034 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:44:20,034 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:44:20,034 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 344
- 2022-02-12 11:44:20,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216545 Loss2 0.306706
- 2022-02-12 11:44:35,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217896, best_loss=0.216291
- 2022-02-12 11:44:36,402 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202463, best_loss=0.202571
- 2022-02-12 11:44:36,430 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:44:36,430 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.395998239517212s
- 2022-02-12 11:44:36,430 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:44:36,430 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:44:36,430 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 345
- 2022-02-12 11:44:36,547 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200234 Loss2 0.323109
- 2022-02-12 11:44:51,324 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217624, best_loss=0.216291
- 2022-02-12 11:44:52,407 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202506, best_loss=0.202463
- 2022-02-12 11:44:52,407 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.97700047492981s
- 2022-02-12 11:44:52,407 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:44:52,408 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:44:52,408 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 346
- 2022-02-12 11:44:52,514 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216676 Loss2 0.359253
- 2022-02-12 11:45:07,402 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217979, best_loss=0.216291
- 2022-02-12 11:45:08,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202423, best_loss=0.202463
- 2022-02-12 11:45:08,506 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:45:08,507 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.099001169204712s
- 2022-02-12 11:45:08,507 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:45:08,507 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:45:08,507 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 347
- 2022-02-12 11:45:08,628 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230071 Loss2 0.336470
- 2022-02-12 11:45:23,810 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216285, best_loss=0.216291
- 2022-02-12 11:45:23,839 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:45:24,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202441, best_loss=0.202423
- 2022-02-12 11:45:24,918 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41100025177002s
- 2022-02-12 11:45:24,918 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:45:24,918 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:45:24,918 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 348
- 2022-02-12 11:45:25,027 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199199 Loss2 0.362809
- 2022-02-12 11:45:40,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216451, best_loss=0.216285
- 2022-02-12 11:45:41,359 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202396, best_loss=0.202423
- 2022-02-12 11:45:41,387 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:45:41,388 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.469498872756958s
- 2022-02-12 11:45:41,388 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:45:41,388 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:45:41,388 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 349
- 2022-02-12 11:45:41,499 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.210820 Loss2 0.386105
- 2022-02-12 11:45:56,589 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216056, best_loss=0.216285
- 2022-02-12 11:45:56,617 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:45:57,690 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202307, best_loss=0.202396
- 2022-02-12 11:45:57,719 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:45:57,720 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.332000732421875s
- 2022-02-12 11:45:57,720 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:45:57,720 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:45:57,720 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 350
- 2022-02-12 11:45:57,832 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206317 Loss2 0.388826
- 2022-02-12 11:46:12,959 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216193, best_loss=0.216056
- 2022-02-12 11:46:14,020 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202292, best_loss=0.202307
- 2022-02-12 11:46:14,046 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:46:14,047 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.327000379562378s
- 2022-02-12 11:46:14,047 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:46:14,047 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:46:14,047 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 351
- 2022-02-12 11:46:14,169 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182765 Loss2 0.350647
- 2022-02-12 11:46:29,150 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216956, best_loss=0.216056
- 2022-02-12 11:46:30,205 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202119, best_loss=0.202292
- 2022-02-12 11:46:30,231 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:46:30,232 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.184998750686646s
- 2022-02-12 11:46:30,232 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:46:30,232 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:46:30,232 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 352
- 2022-02-12 11:46:30,343 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196688 Loss2 0.354999
- 2022-02-12 11:46:45,455 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216890, best_loss=0.216056
- 2022-02-12 11:46:46,521 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202073, best_loss=0.202119
- 2022-02-12 11:46:46,548 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:46:46,549 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31650161743164s
- 2022-02-12 11:46:46,549 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:46:46,549 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:46:46,549 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 353
- 2022-02-12 11:46:46,653 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.225606 Loss2 0.360667
- 2022-02-12 11:47:01,764 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.218589, best_loss=0.216056
- 2022-02-12 11:47:02,830 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202044, best_loss=0.202073
- 2022-02-12 11:47:02,859 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:47:02,859 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31050157546997s
- 2022-02-12 11:47:02,859 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:47:02,859 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:47:02,859 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 354
- 2022-02-12 11:47:02,970 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.218693 Loss2 0.371853
- 2022-02-12 11:47:17,962 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216824, best_loss=0.216056
- 2022-02-12 11:47:19,023 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201899, best_loss=0.202044
- 2022-02-12 11:47:19,051 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:47:19,052 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.192496061325073s
- 2022-02-12 11:47:19,052 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:47:19,052 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:47:19,052 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 355
- 2022-02-12 11:47:19,174 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.212922 Loss2 0.401670
- 2022-02-12 11:47:34,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216714, best_loss=0.216056
- 2022-02-12 11:47:35,313 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201885, best_loss=0.201899
- 2022-02-12 11:47:35,342 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:47:35,342 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.290002584457397s
- 2022-02-12 11:47:35,342 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:47:35,343 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:47:35,343 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 356
- 2022-02-12 11:47:35,459 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174580 Loss2 0.360616
- 2022-02-12 11:47:50,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216770, best_loss=0.216056
- 2022-02-12 11:47:51,517 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201797, best_loss=0.201885
- 2022-02-12 11:47:51,544 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:47:51,545 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.201998710632324s
- 2022-02-12 11:47:51,545 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:47:51,545 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:47:51,545 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 357
- 2022-02-12 11:47:51,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182338 Loss2 0.339333
- 2022-02-12 11:48:06,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216008, best_loss=0.216056
- 2022-02-12 11:48:06,707 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:48:07,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201777, best_loss=0.201797
- 2022-02-12 11:48:07,806 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:48:07,807 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.262000560760498s
- 2022-02-12 11:48:07,807 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:48:07,807 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:48:07,807 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 358
- 2022-02-12 11:48:07,923 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205411 Loss2 0.346740
- 2022-02-12 11:48:23,093 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216524, best_loss=0.216008
- 2022-02-12 11:48:24,155 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201605, best_loss=0.201777
- 2022-02-12 11:48:24,182 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:48:24,182 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37549901008606s
- 2022-02-12 11:48:24,182 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:48:24,182 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:48:24,182 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 359
- 2022-02-12 11:48:24,290 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173076 Loss2 0.352076
- 2022-02-12 11:48:39,285 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216415, best_loss=0.216008
- 2022-02-12 11:48:40,362 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201543, best_loss=0.201605
- 2022-02-12 11:48:40,390 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:48:40,391 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.208502292633057s
- 2022-02-12 11:48:40,391 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:48:40,391 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:48:40,391 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 360
- 2022-02-12 11:48:40,503 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187743 Loss2 0.331136
- 2022-02-12 11:48:55,580 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216628, best_loss=0.216008
- 2022-02-12 11:48:56,650 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201381, best_loss=0.201543
- 2022-02-12 11:48:56,681 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:48:56,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.290499925613403s
- 2022-02-12 11:48:56,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:48:56,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:48:56,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 361
- 2022-02-12 11:48:56,794 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189684 Loss2 0.338268
- 2022-02-12 11:49:11,957 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215814, best_loss=0.216008
- 2022-02-12 11:49:11,983 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:49:13,065 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201320, best_loss=0.201381
- 2022-02-12 11:49:13,092 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:49:13,093 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.410999536514282s
- 2022-02-12 11:49:13,093 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:49:13,093 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:49:13,093 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 362
- 2022-02-12 11:49:13,231 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205834 Loss2 0.372142
- 2022-02-12 11:49:28,312 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216772, best_loss=0.215814
- 2022-02-12 11:49:29,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201157, best_loss=0.201320
- 2022-02-12 11:49:29,409 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:49:29,410 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.317002058029175s
- 2022-02-12 11:49:29,410 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:49:29,410 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:49:29,410 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 363
- 2022-02-12 11:49:29,522 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204325 Loss2 0.355978
- 2022-02-12 11:49:44,588 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217038, best_loss=0.215814
- 2022-02-12 11:49:45,670 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201151, best_loss=0.201157
- 2022-02-12 11:49:45,697 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:49:45,697 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.286998987197876s
- 2022-02-12 11:49:45,697 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:49:45,697 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:49:45,697 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 364
- 2022-02-12 11:49:45,806 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187491 Loss2 0.332835
- 2022-02-12 11:50:00,871 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216184, best_loss=0.215814
- 2022-02-12 11:50:01,954 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201170, best_loss=0.201151
- 2022-02-12 11:50:01,954 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.256999969482422s
- 2022-02-12 11:50:01,955 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:50:01,955 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:50:01,955 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 365
- 2022-02-12 11:50:02,069 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207371 Loss2 0.350888
- 2022-02-12 11:50:17,073 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.217367, best_loss=0.215814
- 2022-02-12 11:50:18,128 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201186, best_loss=0.201151
- 2022-02-12 11:50:18,129 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17400074005127s
- 2022-02-12 11:50:18,129 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:50:18,129 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:50:18,129 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 366
- 2022-02-12 11:50:18,243 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192305 Loss2 0.338103
- 2022-02-12 11:50:33,436 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215478, best_loss=0.215814
- 2022-02-12 11:50:33,462 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:50:34,540 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201158, best_loss=0.201151
- 2022-02-12 11:50:34,541 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.411499738693237s
- 2022-02-12 11:50:34,541 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:50:34,541 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:50:34,541 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 367
- 2022-02-12 11:50:34,666 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.211827 Loss2 0.358373
- 2022-02-12 11:50:49,703 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215665, best_loss=0.215478
- 2022-02-12 11:50:50,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201122, best_loss=0.201151
- 2022-02-12 11:50:50,806 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:50:50,806 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.265003442764282s
- 2022-02-12 11:50:50,806 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:50:50,806 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:50:50,806 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 368
- 2022-02-12 11:50:50,914 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197048 Loss2 0.302964
- 2022-02-12 11:51:06,217 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216409, best_loss=0.215478
- 2022-02-12 11:51:07,285 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200976, best_loss=0.201122
- 2022-02-12 11:51:07,315 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:51:07,316 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50899863243103s
- 2022-02-12 11:51:07,316 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:51:07,316 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:51:07,316 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 369
- 2022-02-12 11:51:07,433 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207909 Loss2 0.357437
- 2022-02-12 11:51:22,493 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216772, best_loss=0.215478
- 2022-02-12 11:51:23,575 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200935, best_loss=0.200976
- 2022-02-12 11:51:23,603 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:51:23,603 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.28749918937683s
- 2022-02-12 11:51:23,603 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:51:23,603 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:51:23,603 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 370
- 2022-02-12 11:51:23,708 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185791 Loss2 0.345739
- 2022-02-12 11:51:38,896 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216214, best_loss=0.215478
- 2022-02-12 11:51:39,968 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200970, best_loss=0.200935
- 2022-02-12 11:51:39,969 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.366027116775513s
- 2022-02-12 11:51:39,969 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:51:39,969 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:51:39,969 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 371
- 2022-02-12 11:51:40,074 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191312 Loss2 0.342460
- 2022-02-12 11:51:55,036 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215013, best_loss=0.215478
- 2022-02-12 11:51:55,063 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:51:56,132 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200864, best_loss=0.200935
- 2022-02-12 11:51:56,161 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:51:56,161 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.191975116729736s
- 2022-02-12 11:51:56,161 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:51:56,161 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:51:56,161 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 372
- 2022-02-12 11:51:56,281 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190298 Loss2 0.350610
- 2022-02-12 11:52:11,425 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215217, best_loss=0.215013
- 2022-02-12 11:52:12,492 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200874, best_loss=0.200864
- 2022-02-12 11:52:12,493 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.331997394561768s
- 2022-02-12 11:52:12,493 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:52:12,493 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:52:12,493 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 373
- 2022-02-12 11:52:12,603 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216418 Loss2 0.392901
- 2022-02-12 11:52:27,359 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215263, best_loss=0.215013
- 2022-02-12 11:52:28,433 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200950, best_loss=0.200864
- 2022-02-12 11:52:28,434 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.940501928329468s
- 2022-02-12 11:52:28,434 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:52:28,434 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:52:28,434 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 374
- 2022-02-12 11:52:28,545 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176402 Loss2 0.332231
- 2022-02-12 11:52:43,564 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215950, best_loss=0.215013
- 2022-02-12 11:52:44,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200863, best_loss=0.200864
- 2022-02-12 11:52:44,664 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:52:44,665 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.231025218963623s
- 2022-02-12 11:52:44,665 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:52:44,665 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:52:44,665 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 375
- 2022-02-12 11:52:44,786 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188053 Loss2 0.350417
- 2022-02-12 11:52:59,776 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215993, best_loss=0.215013
- 2022-02-12 11:53:00,828 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200774, best_loss=0.200863
- 2022-02-12 11:53:00,856 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:53:00,857 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.191465377807617s
- 2022-02-12 11:53:00,857 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:53:00,857 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:53:00,857 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 376
- 2022-02-12 11:53:00,963 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.223058 Loss2 0.351736
- 2022-02-12 11:53:16,052 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215264, best_loss=0.215013
- 2022-02-12 11:53:17,120 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200602, best_loss=0.200774
- 2022-02-12 11:53:17,147 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:53:17,147 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.290000200271606s
- 2022-02-12 11:53:17,147 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:53:17,147 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:53:17,148 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 377
- 2022-02-12 11:53:17,254 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199399 Loss2 0.372047
- 2022-02-12 11:53:32,031 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215074, best_loss=0.215013
- 2022-02-12 11:53:33,087 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200525, best_loss=0.200602
- 2022-02-12 11:53:33,114 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:53:33,115 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.966500520706177s
- 2022-02-12 11:53:33,115 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:53:33,115 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:53:33,115 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 378
- 2022-02-12 11:53:33,248 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187000 Loss2 0.369058
- 2022-02-12 11:53:48,256 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215146, best_loss=0.215013
- 2022-02-12 11:53:49,324 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200512, best_loss=0.200525
- 2022-02-12 11:53:49,350 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:53:49,350 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.235501050949097s
- 2022-02-12 11:53:49,350 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:53:49,350 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:53:49,350 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 379
- 2022-02-12 11:53:49,462 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189953 Loss2 0.329795
- 2022-02-12 11:54:04,400 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214174, best_loss=0.215013
- 2022-02-12 11:54:04,429 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:54:05,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200539, best_loss=0.200512
- 2022-02-12 11:54:05,513 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16249966621399s
- 2022-02-12 11:54:05,513 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:54:05,513 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:54:05,513 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 380
- 2022-02-12 11:54:05,630 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182822 Loss2 0.346828
- 2022-02-12 11:54:20,701 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215284, best_loss=0.214174
- 2022-02-12 11:54:21,788 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200420, best_loss=0.200512
- 2022-02-12 11:54:21,817 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:54:21,818 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.304497718811035s
- 2022-02-12 11:54:21,818 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:54:21,818 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:54:21,818 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 381
- 2022-02-12 11:54:21,930 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192328 Loss2 0.344370
- 2022-02-12 11:54:37,090 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214912, best_loss=0.214174
- 2022-02-12 11:54:38,149 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200325, best_loss=0.200420
- 2022-02-12 11:54:38,177 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:54:38,178 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36000156402588s
- 2022-02-12 11:54:38,178 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:54:38,178 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:54:38,178 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 382
- 2022-02-12 11:54:38,283 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185018 Loss2 0.332055
- 2022-02-12 11:54:53,129 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216247, best_loss=0.214174
- 2022-02-12 11:54:54,201 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200219, best_loss=0.200325
- 2022-02-12 11:54:54,228 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:54:54,229 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05049967765808s
- 2022-02-12 11:54:54,229 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:54:54,229 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:54:54,229 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 383
- 2022-02-12 11:54:54,335 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168904 Loss2 0.320034
- 2022-02-12 11:55:09,343 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215555, best_loss=0.214174
- 2022-02-12 11:55:10,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200063, best_loss=0.200219
- 2022-02-12 11:55:10,436 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:55:10,436 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.207002639770508s
- 2022-02-12 11:55:10,436 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:55:10,436 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:55:10,436 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 384
- 2022-02-12 11:55:10,542 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199682 Loss2 0.360587
- 2022-02-12 11:55:25,385 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215185, best_loss=0.214174
- 2022-02-12 11:55:26,446 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199906, best_loss=0.200063
- 2022-02-12 11:55:26,473 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:55:26,473 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.036497831344604s
- 2022-02-12 11:55:26,473 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:55:26,473 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:55:26,473 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 385
- 2022-02-12 11:55:26,582 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207380 Loss2 0.347521
- 2022-02-12 11:55:41,687 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214400, best_loss=0.214174
- 2022-02-12 11:55:42,760 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199807, best_loss=0.199906
- 2022-02-12 11:55:42,787 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:55:42,788 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.315001487731934s
- 2022-02-12 11:55:42,788 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:55:42,788 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:55:42,788 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 386
- 2022-02-12 11:55:42,907 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200224 Loss2 0.333206
- 2022-02-12 11:55:57,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213593, best_loss=0.214174
- 2022-02-12 11:55:57,866 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:55:58,930 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199638, best_loss=0.199807
- 2022-02-12 11:55:58,957 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:55:58,958 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.169500589370728s
- 2022-02-12 11:55:58,958 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:55:58,958 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:55:58,958 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 387
- 2022-02-12 11:55:59,073 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185953 Loss2 0.348856
- 2022-02-12 11:56:14,101 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214912, best_loss=0.213593
- 2022-02-12 11:56:15,166 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199663, best_loss=0.199638
- 2022-02-12 11:56:15,167 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.208500385284424s
- 2022-02-12 11:56:15,167 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:56:15,167 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:56:15,167 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 388
- 2022-02-12 11:56:15,283 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207016 Loss2 0.341030
- 2022-02-12 11:56:30,228 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214767, best_loss=0.213593
- 2022-02-12 11:56:31,322 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199617, best_loss=0.199638
- 2022-02-12 11:56:31,350 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:56:31,350 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.183499813079834s
- 2022-02-12 11:56:31,350 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:56:31,350 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:56:31,351 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 389
- 2022-02-12 11:56:31,455 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206940 Loss2 0.341882
- 2022-02-12 11:56:46,468 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214438, best_loss=0.213593
- 2022-02-12 11:56:47,537 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199615, best_loss=0.199617
- 2022-02-12 11:56:47,564 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:56:47,565 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.213999271392822s
- 2022-02-12 11:56:47,565 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:56:47,565 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:56:47,565 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 390
- 2022-02-12 11:56:47,688 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180284 Loss2 0.332017
- 2022-02-12 11:57:02,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213050, best_loss=0.213593
- 2022-02-12 11:57:02,556 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:57:03,570 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199486, best_loss=0.199615
- 2022-02-12 11:57:03,597 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:57:03,598 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.033000707626343s
- 2022-02-12 11:57:03,598 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:57:03,598 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:57:03,598 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 391
- 2022-02-12 11:57:03,715 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.222735 Loss2 0.346081
- 2022-02-12 11:57:18,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214344, best_loss=0.213050
- 2022-02-12 11:57:19,848 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199444, best_loss=0.199486
- 2022-02-12 11:57:19,875 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:57:19,876 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27799916267395s
- 2022-02-12 11:57:19,876 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:57:19,876 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:57:19,876 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 392
- 2022-02-12 11:57:19,984 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.216929 Loss2 0.345959
- 2022-02-12 11:57:35,209 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214073, best_loss=0.213050
- 2022-02-12 11:57:36,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199301, best_loss=0.199444
- 2022-02-12 11:57:36,302 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:57:36,302 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.426525592803955s
- 2022-02-12 11:57:36,302 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:57:36,302 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:57:36,302 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 393
- 2022-02-12 11:57:36,456 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198945 Loss2 0.343468
- 2022-02-12 11:57:51,575 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216143, best_loss=0.213050
- 2022-02-12 11:57:52,633 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199209, best_loss=0.199301
- 2022-02-12 11:57:52,659 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:57:52,659 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.356974363327026s
- 2022-02-12 11:57:52,659 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:57:52,660 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:57:52,660 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 394
- 2022-02-12 11:57:52,768 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175428 Loss2 0.363505
- 2022-02-12 11:58:07,695 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214456, best_loss=0.213050
- 2022-02-12 11:58:08,697 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199204, best_loss=0.199209
- 2022-02-12 11:58:08,725 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:58:08,726 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.065999507904053s
- 2022-02-12 11:58:08,726 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:58:08,726 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:58:08,726 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 395
- 2022-02-12 11:58:08,850 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181422 Loss2 0.325906
- 2022-02-12 11:58:23,918 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213543, best_loss=0.213050
- 2022-02-12 11:58:24,996 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199264, best_loss=0.199204
- 2022-02-12 11:58:24,997 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.270501613616943s
- 2022-02-12 11:58:24,997 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:58:24,997 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:58:24,997 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 396
- 2022-02-12 11:58:25,108 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208895 Loss2 0.359912
- 2022-02-12 11:58:40,049 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.215093, best_loss=0.213050
- 2022-02-12 11:58:41,115 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199199, best_loss=0.199204
- 2022-02-12 11:58:41,141 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:58:41,141 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.144500255584717s
- 2022-02-12 11:58:41,142 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:58:41,142 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:58:41,142 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 397
- 2022-02-12 11:58:41,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179656 Loss2 0.340070
- 2022-02-12 11:58:56,120 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.214232, best_loss=0.213050
- 2022-02-12 11:58:57,192 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199003, best_loss=0.199199
- 2022-02-12 11:58:57,220 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:58:57,221 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.07900071144104s
- 2022-02-12 11:58:57,221 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:58:57,221 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:58:57,221 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 398
- 2022-02-12 11:58:57,322 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203378 Loss2 0.379861
- 2022-02-12 11:59:12,333 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212983, best_loss=0.213050
- 2022-02-12 11:59:12,361 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:59:13,428 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199036, best_loss=0.199003
- 2022-02-12 11:59:13,428 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.20749807357788s
- 2022-02-12 11:59:13,428 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:59:13,428 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:59:13,428 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 399
- 2022-02-12 11:59:13,556 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.213789 Loss2 0.383897
- 2022-02-12 11:59:28,720 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213515, best_loss=0.212983
- 2022-02-12 11:59:29,792 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198917, best_loss=0.199003
- 2022-02-12 11:59:29,819 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:59:29,820 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.391501903533936s
- 2022-02-12 11:59:29,820 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:59:29,820 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:59:29,820 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 400
- 2022-02-12 11:59:29,930 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.220567 Loss2 0.373787
- 2022-02-12 11:59:44,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213845, best_loss=0.212983
- 2022-02-12 11:59:45,965 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198826, best_loss=0.198917
- 2022-02-12 11:59:45,991 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 11:59:45,992 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.171499729156494s
- 2022-02-12 11:59:45,992 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 11:59:45,992 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 11:59:45,992 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 401
- 2022-02-12 11:59:46,106 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181575 Loss2 0.329684
- 2022-02-12 12:00:01,065 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211976, best_loss=0.212983
- 2022-02-12 12:00:01,094 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:00:02,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198770, best_loss=0.198826
- 2022-02-12 12:00:02,187 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:00:02,187 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195500373840332s
- 2022-02-12 12:00:02,187 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:00:02,187 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:00:02,187 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 402
- 2022-02-12 12:00:02,312 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180520 Loss2 0.355064
- 2022-02-12 12:00:17,346 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213551, best_loss=0.211976
- 2022-02-12 12:00:18,424 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198619, best_loss=0.198770
- 2022-02-12 12:00:18,453 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:00:18,454 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2669997215271s
- 2022-02-12 12:00:18,454 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:00:18,454 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:00:18,454 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 403
- 2022-02-12 12:00:18,571 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.209322 Loss2 0.317257
- 2022-02-12 12:00:33,595 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213073, best_loss=0.211976
- 2022-02-12 12:00:34,630 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198427, best_loss=0.198619
- 2022-02-12 12:00:34,657 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:00:34,657 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2030029296875s
- 2022-02-12 12:00:34,657 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:00:34,657 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:00:34,657 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 404
- 2022-02-12 12:00:34,761 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185567 Loss2 0.337271
- 2022-02-12 12:00:49,677 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213304, best_loss=0.211976
- 2022-02-12 12:00:50,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198335, best_loss=0.198427
- 2022-02-12 12:00:50,768 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:00:50,769 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.11149787902832s
- 2022-02-12 12:00:50,769 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:00:50,769 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:00:50,769 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 405
- 2022-02-12 12:00:50,887 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199111 Loss2 0.388315
- 2022-02-12 12:01:05,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212722, best_loss=0.211976
- 2022-02-12 12:01:06,896 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198312, best_loss=0.198335
- 2022-02-12 12:01:06,923 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:01:06,924 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.154998302459717s
- 2022-02-12 12:01:06,924 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:01:06,924 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:01:06,924 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 406
- 2022-02-12 12:01:07,039 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.238033 Loss2 0.372814
- 2022-02-12 12:01:22,208 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213476, best_loss=0.211976
- 2022-02-12 12:01:23,295 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198285, best_loss=0.198312
- 2022-02-12 12:01:23,322 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:01:23,322 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.398499488830566s
- 2022-02-12 12:01:23,322 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:01:23,322 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:01:23,322 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 407
- 2022-02-12 12:01:23,433 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180779 Loss2 0.331145
- 2022-02-12 12:01:38,531 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.216561, best_loss=0.211976
- 2022-02-12 12:01:39,589 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198215, best_loss=0.198285
- 2022-02-12 12:01:39,616 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:01:39,617 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.294501543045044s
- 2022-02-12 12:01:39,617 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:01:39,617 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:01:39,617 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 408
- 2022-02-12 12:01:39,728 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203533 Loss2 0.356553
- 2022-02-12 12:01:54,613 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212521, best_loss=0.211976
- 2022-02-12 12:01:55,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198200, best_loss=0.198215
- 2022-02-12 12:01:55,703 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:01:55,704 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.086998224258423s
- 2022-02-12 12:01:55,704 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:01:55,704 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:01:55,704 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 409
- 2022-02-12 12:01:55,816 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203492 Loss2 0.393703
- 2022-02-12 12:02:10,687 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212404, best_loss=0.211976
- 2022-02-12 12:02:11,749 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198155, best_loss=0.198200
- 2022-02-12 12:02:11,775 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:02:11,776 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.072001934051514s
- 2022-02-12 12:02:11,776 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:02:11,776 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:02:11,776 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 410
- 2022-02-12 12:02:11,881 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206557 Loss2 0.336700
- 2022-02-12 12:02:26,794 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212723, best_loss=0.211976
- 2022-02-12 12:02:27,861 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198183, best_loss=0.198155
- 2022-02-12 12:02:27,862 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.085532665252686s
- 2022-02-12 12:02:27,862 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:02:27,862 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:02:27,862 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 411
- 2022-02-12 12:02:27,978 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.212591 Loss2 0.346078
- 2022-02-12 12:02:42,878 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213180, best_loss=0.211976
- 2022-02-12 12:02:43,976 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198046, best_loss=0.198155
- 2022-02-12 12:02:44,005 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:02:44,006 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.143474340438843s
- 2022-02-12 12:02:44,006 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:02:44,006 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:02:44,006 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 412
- 2022-02-12 12:02:44,124 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201670 Loss2 0.351561
- 2022-02-12 12:02:59,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212939, best_loss=0.211976
- 2022-02-12 12:03:00,303 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198089, best_loss=0.198046
- 2022-02-12 12:03:00,304 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.298002243041992s
- 2022-02-12 12:03:00,304 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:03:00,304 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:03:00,304 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 413
- 2022-02-12 12:03:00,417 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187570 Loss2 0.391741
- 2022-02-12 12:03:15,471 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213290, best_loss=0.211976
- 2022-02-12 12:03:16,541 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197943, best_loss=0.198046
- 2022-02-12 12:03:16,568 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:03:16,569 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.264499187469482s
- 2022-02-12 12:03:16,569 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:03:16,569 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:03:16,569 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 414
- 2022-02-12 12:03:16,690 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196391 Loss2 0.352364
- 2022-02-12 12:03:31,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212895, best_loss=0.211976
- 2022-02-12 12:03:32,710 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197840, best_loss=0.197943
- 2022-02-12 12:03:32,737 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:03:32,737 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16849994659424s
- 2022-02-12 12:03:32,737 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:03:32,737 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:03:32,737 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 415
- 2022-02-12 12:03:32,874 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230197 Loss2 0.339797
- 2022-02-12 12:03:47,957 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211708, best_loss=0.211976
- 2022-02-12 12:03:47,983 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:03:49,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197849, best_loss=0.197840
- 2022-02-12 12:03:49,056 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.318998336791992s
- 2022-02-12 12:03:49,056 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:03:49,056 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:03:49,056 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 416
- 2022-02-12 12:03:49,182 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208423 Loss2 0.332834
- 2022-02-12 12:04:04,258 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211884, best_loss=0.211708
- 2022-02-12 12:04:05,331 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197781, best_loss=0.197840
- 2022-02-12 12:04:05,358 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:05,359 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.302501916885376s
- 2022-02-12 12:04:05,359 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:04:05,359 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:04:05,359 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 417
- 2022-02-12 12:04:05,472 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.227973 Loss2 0.366250
- 2022-02-12 12:04:20,285 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211622, best_loss=0.211708
- 2022-02-12 12:04:20,315 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:21,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197746, best_loss=0.197781
- 2022-02-12 12:04:21,426 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:21,426 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.066999673843384s
- 2022-02-12 12:04:21,427 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:04:21,427 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:04:21,427 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 418
- 2022-02-12 12:04:21,536 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206092 Loss2 0.374267
- 2022-02-12 12:04:36,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211133, best_loss=0.211622
- 2022-02-12 12:04:36,527 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:37,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197691, best_loss=0.197746
- 2022-02-12 12:04:37,614 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:37,614 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.187503337860107s
- 2022-02-12 12:04:37,614 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:04:37,614 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:04:37,614 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 419
- 2022-02-12 12:04:37,722 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214262 Loss2 0.335616
- 2022-02-12 12:04:52,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211906, best_loss=0.211133
- 2022-02-12 12:04:53,756 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197604, best_loss=0.197691
- 2022-02-12 12:04:53,785 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:04:53,786 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17149829864502s
- 2022-02-12 12:04:53,786 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:04:53,786 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:04:53,786 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 420
- 2022-02-12 12:04:53,891 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189584 Loss2 0.312696
- 2022-02-12 12:05:08,866 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.213410, best_loss=0.211133
- 2022-02-12 12:05:09,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197638, best_loss=0.197604
- 2022-02-12 12:05:09,924 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.137999296188354s
- 2022-02-12 12:05:09,924 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:05:09,924 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:05:09,924 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 421
- 2022-02-12 12:05:10,035 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205623 Loss2 0.366982
- 2022-02-12 12:05:24,837 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211250, best_loss=0.211133
- 2022-02-12 12:05:25,908 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197647, best_loss=0.197604
- 2022-02-12 12:05:25,908 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.984002828598022s
- 2022-02-12 12:05:25,908 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:05:25,908 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:05:25,908 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 422
- 2022-02-12 12:05:26,015 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197315 Loss2 0.334896
- 2022-02-12 12:05:40,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212725, best_loss=0.211133
- 2022-02-12 12:05:41,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197622, best_loss=0.197604
- 2022-02-12 12:05:41,918 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.009997367858887s
- 2022-02-12 12:05:41,918 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:05:41,918 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:05:41,918 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 423
- 2022-02-12 12:05:42,028 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.233559 Loss2 0.428110
- 2022-02-12 12:05:57,026 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212558, best_loss=0.211133
- 2022-02-12 12:05:58,096 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197698, best_loss=0.197604
- 2022-02-12 12:05:58,096 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17800259590149s
- 2022-02-12 12:05:58,096 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:05:58,096 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:05:58,097 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 424
- 2022-02-12 12:05:58,205 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200621 Loss2 0.358558
- 2022-02-12 12:06:13,262 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212338, best_loss=0.211133
- 2022-02-12 12:06:14,327 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197653, best_loss=0.197604
- 2022-02-12 12:06:14,327 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.230499029159546s
- 2022-02-12 12:06:14,327 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:06:14,327 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:06:14,327 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 425
- 2022-02-12 12:06:14,444 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199442 Loss2 0.367340
- 2022-02-12 12:06:29,448 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211996, best_loss=0.211133
- 2022-02-12 12:06:30,518 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197680, best_loss=0.197604
- 2022-02-12 12:06:30,519 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19149899482727s
- 2022-02-12 12:06:30,519 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:06:30,519 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:06:30,519 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 426
- 2022-02-12 12:06:30,626 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202478 Loss2 0.347201
- 2022-02-12 12:06:45,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212026, best_loss=0.211133
- 2022-02-12 12:06:46,684 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197530, best_loss=0.197604
- 2022-02-12 12:06:46,713 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:06:46,714 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195000648498535s
- 2022-02-12 12:06:46,714 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:06:46,714 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:06:46,714 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 427
- 2022-02-12 12:06:46,824 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189066 Loss2 0.350893
- 2022-02-12 12:07:01,708 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210918, best_loss=0.211133
- 2022-02-12 12:07:01,735 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:02,813 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197491, best_loss=0.197530
- 2022-02-12 12:07:02,841 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:02,842 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12749934196472s
- 2022-02-12 12:07:02,842 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:07:02,842 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:07:02,842 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 428
- 2022-02-12 12:07:02,948 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186178 Loss2 0.328829
- 2022-02-12 12:07:17,650 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211023, best_loss=0.210918
- 2022-02-12 12:07:18,726 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197479, best_loss=0.197491
- 2022-02-12 12:07:18,754 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:18,754 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.912500143051147s
- 2022-02-12 12:07:18,754 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:07:18,755 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:07:18,755 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 429
- 2022-02-12 12:07:18,873 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201537 Loss2 0.407069
- 2022-02-12 12:07:33,831 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210642, best_loss=0.210918
- 2022-02-12 12:07:33,862 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:34,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197409, best_loss=0.197479
- 2022-02-12 12:07:34,951 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:34,952 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19700026512146s
- 2022-02-12 12:07:34,952 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:07:34,952 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:07:34,952 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 430
- 2022-02-12 12:07:35,069 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193713 Loss2 0.351723
- 2022-02-12 12:07:50,178 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211849, best_loss=0.210642
- 2022-02-12 12:07:51,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197359, best_loss=0.197409
- 2022-02-12 12:07:51,265 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:07:51,265 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.312999725341797s
- 2022-02-12 12:07:51,265 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:07:51,265 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:07:51,266 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 431
- 2022-02-12 12:07:51,386 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189528 Loss2 0.318024
- 2022-02-12 12:08:06,491 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210232, best_loss=0.210642
- 2022-02-12 12:08:06,518 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:08:07,586 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197289, best_loss=0.197359
- 2022-02-12 12:08:07,614 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:08:07,615 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34899926185608s
- 2022-02-12 12:08:07,615 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:08:07,615 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:08:07,615 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 432
- 2022-02-12 12:08:07,745 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190501 Loss2 0.369634
- 2022-02-12 12:08:22,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210678, best_loss=0.210232
- 2022-02-12 12:08:23,699 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197204, best_loss=0.197289
- 2022-02-12 12:08:23,725 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:08:23,726 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.111000776290894s
- 2022-02-12 12:08:23,726 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:08:23,726 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:08:23,726 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 433
- 2022-02-12 12:08:23,838 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190704 Loss2 0.318882
- 2022-02-12 12:08:38,868 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212022, best_loss=0.210232
- 2022-02-12 12:08:39,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197114, best_loss=0.197204
- 2022-02-12 12:08:39,959 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:08:39,960 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.233500003814697s
- 2022-02-12 12:08:39,960 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:08:39,960 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:08:39,960 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 434
- 2022-02-12 12:08:40,066 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182820 Loss2 0.367082
- 2022-02-12 12:08:55,101 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211462, best_loss=0.210232
- 2022-02-12 12:08:56,168 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196939, best_loss=0.197114
- 2022-02-12 12:08:56,194 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:08:56,195 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.235000371932983s
- 2022-02-12 12:08:56,195 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:08:56,195 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:08:56,195 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 435
- 2022-02-12 12:08:56,301 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205266 Loss2 0.404218
- 2022-02-12 12:09:11,257 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212388, best_loss=0.210232
- 2022-02-12 12:09:12,330 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196979, best_loss=0.196939
- 2022-02-12 12:09:12,330 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13499927520752s
- 2022-02-12 12:09:12,330 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:09:12,330 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:09:12,330 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 436
- 2022-02-12 12:09:12,441 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166640 Loss2 0.307806
- 2022-02-12 12:09:27,388 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212437, best_loss=0.210232
- 2022-02-12 12:09:28,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196805, best_loss=0.196939
- 2022-02-12 12:09:28,511 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:09:28,512 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18149971961975s
- 2022-02-12 12:09:28,512 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:09:28,512 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:09:28,512 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 437
- 2022-02-12 12:09:28,624 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185845 Loss2 0.329018
- 2022-02-12 12:09:43,668 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210896, best_loss=0.210232
- 2022-02-12 12:09:44,718 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196736, best_loss=0.196805
- 2022-02-12 12:09:44,744 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:09:44,745 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.233001470565796s
- 2022-02-12 12:09:44,745 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:09:44,745 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:09:44,745 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 438
- 2022-02-12 12:09:44,851 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207735 Loss2 0.348981
- 2022-02-12 12:09:59,815 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210639, best_loss=0.210232
- 2022-02-12 12:10:00,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196655, best_loss=0.196736
- 2022-02-12 12:10:00,882 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:10:00,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.137999773025513s
- 2022-02-12 12:10:00,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:10:00,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:10:00,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 439
- 2022-02-12 12:10:00,992 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179375 Loss2 0.327602
- 2022-02-12 12:10:15,925 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211529, best_loss=0.210232
- 2022-02-12 12:10:16,989 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196646, best_loss=0.196655
- 2022-02-12 12:10:17,019 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:10:17,020 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13649868965149s
- 2022-02-12 12:10:17,020 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:10:17,020 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:10:17,020 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 440
- 2022-02-12 12:10:17,139 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172799 Loss2 0.375760
- 2022-02-12 12:10:32,018 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211298, best_loss=0.210232
- 2022-02-12 12:10:33,068 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196609, best_loss=0.196646
- 2022-02-12 12:10:33,094 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:10:33,095 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.075001001358032s
- 2022-02-12 12:10:33,095 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:10:33,095 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:10:33,095 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 441
- 2022-02-12 12:10:33,202 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201677 Loss2 0.383286
- 2022-02-12 12:10:48,122 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210530, best_loss=0.210232
- 2022-02-12 12:10:49,177 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196589, best_loss=0.196609
- 2022-02-12 12:10:49,207 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:10:49,208 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.112500190734863s
- 2022-02-12 12:10:49,208 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:10:49,208 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:10:49,208 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 442
- 2022-02-12 12:10:49,320 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215682 Loss2 0.328996
- 2022-02-12 12:11:04,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211208, best_loss=0.210232
- 2022-02-12 12:11:05,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196483, best_loss=0.196589
- 2022-02-12 12:11:05,276 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:11:05,276 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.068500995635986s
- 2022-02-12 12:11:05,277 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:11:05,277 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:11:05,277 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 443
- 2022-02-12 12:11:05,383 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191558 Loss2 0.327827
- 2022-02-12 12:11:20,185 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210352, best_loss=0.210232
- 2022-02-12 12:11:21,254 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196375, best_loss=0.196483
- 2022-02-12 12:11:21,279 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:11:21,280 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.002999305725098s
- 2022-02-12 12:11:21,280 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:11:21,280 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:11:21,280 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 444
- 2022-02-12 12:11:21,396 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171116 Loss2 0.322395
- 2022-02-12 12:11:36,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209390, best_loss=0.210232
- 2022-02-12 12:11:36,278 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:11:37,347 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196388, best_loss=0.196375
- 2022-02-12 12:11:37,347 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.067501068115234s
- 2022-02-12 12:11:37,347 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:11:37,347 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:11:37,347 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 445
- 2022-02-12 12:11:37,462 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205666 Loss2 0.348475
- 2022-02-12 12:11:52,495 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211606, best_loss=0.209390
- 2022-02-12 12:11:53,553 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196406, best_loss=0.196375
- 2022-02-12 12:11:53,554 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.206499576568604s
- 2022-02-12 12:11:53,554 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:11:53,554 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:11:53,554 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 446
- 2022-02-12 12:11:53,663 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.205611 Loss2 0.341635
- 2022-02-12 12:12:08,498 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211494, best_loss=0.209390
- 2022-02-12 12:12:09,557 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196299, best_loss=0.196375
- 2022-02-12 12:12:09,585 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:12:09,586 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.031500101089478s
- 2022-02-12 12:12:09,586 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:12:09,586 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:12:09,586 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 447
- 2022-02-12 12:12:09,696 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192980 Loss2 0.385326
- 2022-02-12 12:12:24,692 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211015, best_loss=0.209390
- 2022-02-12 12:12:25,762 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196180, best_loss=0.196299
- 2022-02-12 12:12:25,788 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:12:25,788 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.202500104904175s
- 2022-02-12 12:12:25,788 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:12:25,788 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:12:25,788 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 448
- 2022-02-12 12:12:25,890 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192271 Loss2 0.339724
- 2022-02-12 12:12:40,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212803, best_loss=0.209390
- 2022-02-12 12:12:41,985 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196100, best_loss=0.196180
- 2022-02-12 12:12:42,013 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:12:42,014 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.225000143051147s
- 2022-02-12 12:12:42,014 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:12:42,014 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:12:42,014 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 449
- 2022-02-12 12:12:42,131 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187172 Loss2 0.324874
- 2022-02-12 12:12:56,945 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210241, best_loss=0.209390
- 2022-02-12 12:12:58,028 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196128, best_loss=0.196100
- 2022-02-12 12:12:58,028 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.013999223709106s
- 2022-02-12 12:12:58,028 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:12:58,028 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:12:58,029 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 450
- 2022-02-12 12:12:58,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207489 Loss2 0.333539
- 2022-02-12 12:13:13,125 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210681, best_loss=0.209390
- 2022-02-12 12:13:14,153 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196030, best_loss=0.196100
- 2022-02-12 12:13:14,180 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:13:14,180 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15149974822998s
- 2022-02-12 12:13:14,180 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:13:14,180 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:13:14,181 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 451
- 2022-02-12 12:13:14,290 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189690 Loss2 0.335861
- 2022-02-12 12:13:29,331 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209377, best_loss=0.209390
- 2022-02-12 12:13:29,359 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:13:30,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196008, best_loss=0.196030
- 2022-02-12 12:13:30,462 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:13:30,463 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.282000064849854s
- 2022-02-12 12:13:30,463 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:13:30,463 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:13:30,463 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 452
- 2022-02-12 12:13:30,570 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203408 Loss2 0.343079
- 2022-02-12 12:13:45,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209582, best_loss=0.209377
- 2022-02-12 12:13:46,553 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195969, best_loss=0.196008
- 2022-02-12 12:13:46,580 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:13:46,580 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.116999864578247s
- 2022-02-12 12:13:46,580 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:13:46,580 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:13:46,580 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 453
- 2022-02-12 12:13:46,684 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198441 Loss2 0.340380
- 2022-02-12 12:14:01,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210450, best_loss=0.209377
- 2022-02-12 12:14:02,685 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195930, best_loss=0.195969
- 2022-02-12 12:14:02,713 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:14:02,714 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.133501768112183s
- 2022-02-12 12:14:02,714 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:14:02,714 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:14:02,714 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 454
- 2022-02-12 12:14:02,816 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198269 Loss2 0.339165
- 2022-02-12 12:14:17,848 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210212, best_loss=0.209377
- 2022-02-12 12:14:18,903 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195875, best_loss=0.195930
- 2022-02-12 12:14:18,932 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:14:18,933 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.218998193740845s
- 2022-02-12 12:14:18,933 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:14:18,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:14:18,933 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 455
- 2022-02-12 12:14:19,051 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178063 Loss2 0.331207
- 2022-02-12 12:14:34,199 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.211195, best_loss=0.209377
- 2022-02-12 12:14:35,270 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195870, best_loss=0.195875
- 2022-02-12 12:14:35,297 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:14:35,298 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.364999771118164s
- 2022-02-12 12:14:35,298 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:14:35,298 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:14:35,298 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 456
- 2022-02-12 12:14:35,410 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177775 Loss2 0.328889
- 2022-02-12 12:14:50,325 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210272, best_loss=0.209377
- 2022-02-12 12:14:51,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195750, best_loss=0.195870
- 2022-02-12 12:14:51,411 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:14:51,411 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.113000869750977s
- 2022-02-12 12:14:51,411 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:14:51,411 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:14:51,411 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 457
- 2022-02-12 12:14:51,524 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161078 Loss2 0.338482
- 2022-02-12 12:15:06,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210197, best_loss=0.209377
- 2022-02-12 12:15:07,703 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195644, best_loss=0.195750
- 2022-02-12 12:15:07,731 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:15:07,732 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.321000814437866s
- 2022-02-12 12:15:07,732 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:15:07,732 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:15:07,732 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 458
- 2022-02-12 12:15:07,850 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172310 Loss2 0.348788
- 2022-02-12 12:15:22,841 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209886, best_loss=0.209377
- 2022-02-12 12:15:23,913 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195425, best_loss=0.195644
- 2022-02-12 12:15:23,942 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:15:23,943 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.210500955581665s
- 2022-02-12 12:15:23,943 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:15:23,943 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:15:23,943 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 459
- 2022-02-12 12:15:24,061 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177845 Loss2 0.350353
- 2022-02-12 12:15:38,949 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210136, best_loss=0.209377
- 2022-02-12 12:15:40,030 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195450, best_loss=0.195425
- 2022-02-12 12:15:40,030 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.087497234344482s
- 2022-02-12 12:15:40,030 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:15:40,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:15:40,031 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 460
- 2022-02-12 12:15:40,152 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196367 Loss2 0.374598
- 2022-02-12 12:15:55,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209227, best_loss=0.209377
- 2022-02-12 12:15:55,409 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:15:56,463 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195453, best_loss=0.195425
- 2022-02-12 12:15:56,464 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.432997941970825s
- 2022-02-12 12:15:56,464 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:15:56,464 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:15:56,464 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 461
- 2022-02-12 12:15:56,588 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208596 Loss2 0.389572
- 2022-02-12 12:16:11,767 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209262, best_loss=0.209227
- 2022-02-12 12:16:12,833 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195375, best_loss=0.195425
- 2022-02-12 12:16:12,861 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:16:12,862 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.398000240325928s
- 2022-02-12 12:16:12,862 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:16:12,862 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:16:12,862 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 462
- 2022-02-12 12:16:12,976 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200446 Loss2 0.333329
- 2022-02-12 12:16:27,947 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210047, best_loss=0.209227
- 2022-02-12 12:16:28,976 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195280, best_loss=0.195375
- 2022-02-12 12:16:29,003 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:16:29,003 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.141002416610718s
- 2022-02-12 12:16:29,003 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:16:29,004 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:16:29,004 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 463
- 2022-02-12 12:16:29,114 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173264 Loss2 0.334041
- 2022-02-12 12:16:43,931 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210323, best_loss=0.209227
- 2022-02-12 12:16:44,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195330, best_loss=0.195280
- 2022-02-12 12:16:44,995 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.991497039794922s
- 2022-02-12 12:16:44,996 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:16:44,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:16:44,996 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 464
- 2022-02-12 12:16:45,112 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169332 Loss2 0.310754
- 2022-02-12 12:17:00,318 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210587, best_loss=0.209227
- 2022-02-12 12:17:01,385 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195277, best_loss=0.195280
- 2022-02-12 12:17:01,415 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:17:01,416 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42000126838684s
- 2022-02-12 12:17:01,416 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:17:01,416 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:17:01,416 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 465
- 2022-02-12 12:17:01,524 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196407 Loss2 0.350286
- 2022-02-12 12:17:16,305 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209118, best_loss=0.209227
- 2022-02-12 12:17:16,335 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:17:17,392 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195197, best_loss=0.195277
- 2022-02-12 12:17:17,420 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:17:17,420 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.004499912261963s
- 2022-02-12 12:17:17,420 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:17:17,420 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:17:17,420 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 466
- 2022-02-12 12:17:17,537 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178937 Loss2 0.332356
- 2022-02-12 12:17:32,678 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210537, best_loss=0.209118
- 2022-02-12 12:17:33,713 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195236, best_loss=0.195197
- 2022-02-12 12:17:33,713 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.292998552322388s
- 2022-02-12 12:17:33,713 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:17:33,713 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:17:33,714 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 467
- 2022-02-12 12:17:33,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190331 Loss2 0.347123
- 2022-02-12 12:17:48,893 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209776, best_loss=0.209118
- 2022-02-12 12:17:49,960 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195025, best_loss=0.195197
- 2022-02-12 12:17:49,986 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:17:49,986 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.272501707077026s
- 2022-02-12 12:17:49,986 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:17:49,987 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:17:49,987 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 468
- 2022-02-12 12:17:50,101 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206588 Loss2 0.349789
- 2022-02-12 12:18:05,079 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209455, best_loss=0.209118
- 2022-02-12 12:18:06,158 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194940, best_loss=0.195025
- 2022-02-12 12:18:06,185 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:18:06,185 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.198500633239746s
- 2022-02-12 12:18:06,186 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:18:06,186 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:18:06,186 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 469
- 2022-02-12 12:18:06,295 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208751 Loss2 0.349986
- 2022-02-12 12:18:21,232 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209103, best_loss=0.209118
- 2022-02-12 12:18:21,258 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:18:22,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194985, best_loss=0.194940
- 2022-02-12 12:18:22,326 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.14049983024597s
- 2022-02-12 12:18:22,326 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:18:22,326 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:18:22,326 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 470
- 2022-02-12 12:18:22,443 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191362 Loss2 0.340213
- 2022-02-12 12:18:37,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210204, best_loss=0.209103
- 2022-02-12 12:18:38,445 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194882, best_loss=0.194940
- 2022-02-12 12:18:38,476 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:18:38,477 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.150500297546387s
- 2022-02-12 12:18:38,477 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:18:38,477 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:18:38,477 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 471
- 2022-02-12 12:18:38,595 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190956 Loss2 0.331677
- 2022-02-12 12:18:53,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209698, best_loss=0.209103
- 2022-02-12 12:18:54,659 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194883, best_loss=0.194882
- 2022-02-12 12:18:54,660 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18250012397766s
- 2022-02-12 12:18:54,660 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:18:54,660 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:18:54,660 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 472
- 2022-02-12 12:18:54,765 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192135 Loss2 0.355613
- 2022-02-12 12:19:09,806 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208551, best_loss=0.209103
- 2022-02-12 12:19:09,833 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:19:10,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194979, best_loss=0.194882
- 2022-02-12 12:19:10,907 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24700117111206s
- 2022-02-12 12:19:10,907 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:19:10,907 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:19:10,907 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 473
- 2022-02-12 12:19:11,034 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195240 Loss2 0.332546
- 2022-02-12 12:19:25,906 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209113, best_loss=0.208551
- 2022-02-12 12:19:26,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194993, best_loss=0.194882
- 2022-02-12 12:19:26,970 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.063000202178955s
- 2022-02-12 12:19:26,970 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:19:26,970 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:19:26,970 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 474
- 2022-02-12 12:19:27,090 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170625 Loss2 0.341497
- 2022-02-12 12:19:42,073 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209531, best_loss=0.208551
- 2022-02-12 12:19:43,139 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194957, best_loss=0.194882
- 2022-02-12 12:19:43,139 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16899800300598s
- 2022-02-12 12:19:43,139 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:19:43,139 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:19:43,139 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 475
- 2022-02-12 12:19:43,254 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190515 Loss2 0.346789
- 2022-02-12 12:19:58,233 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209458, best_loss=0.208551
- 2022-02-12 12:19:59,290 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195022, best_loss=0.194882
- 2022-02-12 12:19:59,291 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15149998664856s
- 2022-02-12 12:19:59,291 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:19:59,291 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:19:59,291 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 476
- 2022-02-12 12:19:59,407 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.212421 Loss2 0.355927
- 2022-02-12 12:20:14,329 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208963, best_loss=0.208551
- 2022-02-12 12:20:15,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195137, best_loss=0.194882
- 2022-02-12 12:20:15,391 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.099501609802246s
- 2022-02-12 12:20:15,391 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:20:15,391 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:20:15,391 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 477
- 2022-02-12 12:20:15,496 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182929 Loss2 0.343359
- 2022-02-12 12:20:30,397 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210830, best_loss=0.208551
- 2022-02-12 12:20:31,462 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195181, best_loss=0.194882
- 2022-02-12 12:20:31,462 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.070998191833496s
- 2022-02-12 12:20:31,462 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:20:31,463 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:20:31,463 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 478
- 2022-02-12 12:20:31,573 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198171 Loss2 0.341721
- 2022-02-12 12:20:46,559 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208796, best_loss=0.208551
- 2022-02-12 12:20:47,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195292, best_loss=0.194882
- 2022-02-12 12:20:47,623 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.160001277923584s
- 2022-02-12 12:20:47,623 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:20:47,623 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:20:47,623 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 479
- 2022-02-12 12:20:47,728 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192382 Loss2 0.382540
- 2022-02-12 12:21:02,703 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208879, best_loss=0.208551
- 2022-02-12 12:21:03,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195151, best_loss=0.194882
- 2022-02-12 12:21:03,778 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.155500411987305s
- 2022-02-12 12:21:03,778 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:21:03,778 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:21:03,778 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 480
- 2022-02-12 12:21:03,912 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178282 Loss2 0.320276
- 2022-02-12 12:21:18,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209758, best_loss=0.208551
- 2022-02-12 12:21:19,743 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195042, best_loss=0.194882
- 2022-02-12 12:21:19,744 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.964999914169312s
- 2022-02-12 12:21:19,744 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:21:19,744 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:21:19,744 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 481
- 2022-02-12 12:21:19,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.207254 Loss2 0.362519
- 2022-02-12 12:21:35,001 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209311, best_loss=0.208551
- 2022-02-12 12:21:36,067 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194964, best_loss=0.194882
- 2022-02-12 12:21:36,068 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.323500633239746s
- 2022-02-12 12:21:36,068 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:21:36,068 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:21:36,068 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 482
- 2022-02-12 12:21:36,192 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.218402 Loss2 0.382123
- 2022-02-12 12:21:51,166 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209607, best_loss=0.208551
- 2022-02-12 12:21:52,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194879, best_loss=0.194882
- 2022-02-12 12:21:52,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:21:52,254 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.186497688293457s
- 2022-02-12 12:21:52,254 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:21:52,255 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:21:52,255 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 483
- 2022-02-12 12:21:52,366 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193155 Loss2 0.352430
- 2022-02-12 12:22:07,437 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208753, best_loss=0.208551
- 2022-02-12 12:22:08,500 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194825, best_loss=0.194879
- 2022-02-12 12:22:08,527 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:22:08,527 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.272499561309814s
- 2022-02-12 12:22:08,528 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:22:08,528 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:22:08,528 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 484
- 2022-02-12 12:22:08,639 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180584 Loss2 0.344375
- 2022-02-12 12:22:23,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209660, best_loss=0.208551
- 2022-02-12 12:22:24,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194701, best_loss=0.194825
- 2022-02-12 12:22:24,647 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:22:24,648 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.120001316070557s
- 2022-02-12 12:22:24,648 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:22:24,648 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:22:24,648 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 485
- 2022-02-12 12:22:24,765 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183862 Loss2 0.344242
- 2022-02-12 12:22:39,728 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209165, best_loss=0.208551
- 2022-02-12 12:22:40,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194658, best_loss=0.194701
- 2022-02-12 12:22:40,826 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:22:40,827 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17950177192688s
- 2022-02-12 12:22:40,827 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:22:40,827 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:22:40,827 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 486
- 2022-02-12 12:22:40,948 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142380 Loss2 0.300165
- 2022-02-12 12:22:55,857 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209319, best_loss=0.208551
- 2022-02-12 12:22:56,937 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194738, best_loss=0.194658
- 2022-02-12 12:22:56,937 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.10999822616577s
- 2022-02-12 12:22:56,938 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:22:56,938 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:22:56,938 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 487
- 2022-02-12 12:22:57,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161405 Loss2 0.325353
- 2022-02-12 12:23:11,906 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208056, best_loss=0.208551
- 2022-02-12 12:23:11,936 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:23:12,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194659, best_loss=0.194658
- 2022-02-12 12:23:12,996 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.058501482009888s
- 2022-02-12 12:23:12,996 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:23:12,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:23:12,996 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 488
- 2022-02-12 12:23:13,109 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203365 Loss2 0.359817
- 2022-02-12 12:23:28,047 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209100, best_loss=0.208056
- 2022-02-12 12:23:29,101 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194759, best_loss=0.194658
- 2022-02-12 12:23:29,102 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.10549759864807s
- 2022-02-12 12:23:29,102 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:23:29,102 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:23:29,102 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 489
- 2022-02-12 12:23:29,219 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185667 Loss2 0.351932
- 2022-02-12 12:23:44,207 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208827, best_loss=0.208056
- 2022-02-12 12:23:45,269 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194655, best_loss=0.194658
- 2022-02-12 12:23:45,297 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:23:45,297 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19550108909607s
- 2022-02-12 12:23:45,297 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:23:45,297 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:23:45,298 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 490
- 2022-02-12 12:23:45,416 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195453 Loss2 0.393129
- 2022-02-12 12:24:00,568 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209657, best_loss=0.208056
- 2022-02-12 12:24:01,635 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194491, best_loss=0.194655
- 2022-02-12 12:24:01,663 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:24:01,664 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.366000652313232s
- 2022-02-12 12:24:01,664 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:24:01,664 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:24:01,664 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 491
- 2022-02-12 12:24:01,785 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178711 Loss2 0.327271
- 2022-02-12 12:24:16,826 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209666, best_loss=0.208056
- 2022-02-12 12:24:17,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194423, best_loss=0.194491
- 2022-02-12 12:24:17,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:24:17,914 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25050115585327s
- 2022-02-12 12:24:17,914 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:24:17,914 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:24:17,914 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 492
- 2022-02-12 12:24:18,039 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195604 Loss2 0.360143
- 2022-02-12 12:24:32,943 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209710, best_loss=0.208056
- 2022-02-12 12:24:34,017 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194498, best_loss=0.194423
- 2022-02-12 12:24:34,017 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.10299825668335s
- 2022-02-12 12:24:34,017 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:24:34,017 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:24:34,017 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 493
- 2022-02-12 12:24:34,131 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174436 Loss2 0.346882
- 2022-02-12 12:24:49,243 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.210210, best_loss=0.208056
- 2022-02-12 12:24:50,308 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194497, best_loss=0.194423
- 2022-02-12 12:24:50,308 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.291000366210938s
- 2022-02-12 12:24:50,308 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:24:50,308 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:24:50,308 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 494
- 2022-02-12 12:24:50,424 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189234 Loss2 0.331040
- 2022-02-12 12:25:05,392 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208162, best_loss=0.208056
- 2022-02-12 12:25:06,465 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194438, best_loss=0.194423
- 2022-02-12 12:25:06,465 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.156999349594116s
- 2022-02-12 12:25:06,465 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:25:06,465 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:25:06,465 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 495
- 2022-02-12 12:25:06,581 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.230250 Loss2 0.404320
- 2022-02-12 12:25:21,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208189, best_loss=0.208056
- 2022-02-12 12:25:22,477 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194378, best_loss=0.194423
- 2022-02-12 12:25:22,506 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:25:22,507 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.04150080680847s
- 2022-02-12 12:25:22,507 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:25:22,507 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:25:22,507 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 496
- 2022-02-12 12:25:22,618 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195111 Loss2 0.334301
- 2022-02-12 12:25:37,533 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208428, best_loss=0.208056
- 2022-02-12 12:25:38,604 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194395, best_loss=0.194378
- 2022-02-12 12:25:38,605 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.098000049591064s
- 2022-02-12 12:25:38,605 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:25:38,605 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:25:38,605 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 497
- 2022-02-12 12:25:38,718 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168120 Loss2 0.342526
- 2022-02-12 12:25:53,629 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208223, best_loss=0.208056
- 2022-02-12 12:25:54,705 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194444, best_loss=0.194378
- 2022-02-12 12:25:54,705 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.100499153137207s
- 2022-02-12 12:25:54,705 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:25:54,705 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:25:54,705 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 498
- 2022-02-12 12:25:54,819 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192679 Loss2 0.366116
- 2022-02-12 12:26:09,720 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209395, best_loss=0.208056
- 2022-02-12 12:26:10,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194328, best_loss=0.194378
- 2022-02-12 12:26:10,813 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:26:10,814 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.108500957489014s
- 2022-02-12 12:26:10,814 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:26:10,814 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:26:10,814 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 499
- 2022-02-12 12:26:10,928 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199510 Loss2 0.358591
- 2022-02-12 12:26:25,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208115, best_loss=0.208056
- 2022-02-12 12:26:26,973 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194191, best_loss=0.194328
- 2022-02-12 12:26:27,001 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:26:27,002 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18749976158142s
- 2022-02-12 12:26:27,002 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:26:27,002 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:26:27,002 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 500
- 2022-02-12 12:26:27,108 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196363 Loss2 0.354192
- 2022-02-12 12:26:42,179 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209100, best_loss=0.208056
- 2022-02-12 12:26:43,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194255, best_loss=0.194191
- 2022-02-12 12:26:43,240 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23749804496765s
- 2022-02-12 12:26:43,240 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:26:43,240 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:26:43,240 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 501
- 2022-02-12 12:26:43,347 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163461 Loss2 0.382453
- 2022-02-12 12:26:58,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207537, best_loss=0.208056
- 2022-02-12 12:26:58,645 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:26:59,713 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194151, best_loss=0.194191
- 2022-02-12 12:26:59,741 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:26:59,742 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50150179862976s
- 2022-02-12 12:26:59,742 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:26:59,742 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:26:59,742 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 502
- 2022-02-12 12:26:59,850 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.211517 Loss2 0.329318
- 2022-02-12 12:27:14,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207942, best_loss=0.207537
- 2022-02-12 12:27:15,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194077, best_loss=0.194151
- 2022-02-12 12:27:15,934 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:27:15,934 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19200086593628s
- 2022-02-12 12:27:15,934 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:27:15,934 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:27:15,935 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 503
- 2022-02-12 12:27:16,043 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186550 Loss2 0.296543
- 2022-02-12 12:27:31,188 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208052, best_loss=0.207537
- 2022-02-12 12:27:32,258 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194034, best_loss=0.194077
- 2022-02-12 12:27:32,286 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:27:32,287 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.351998329162598s
- 2022-02-12 12:27:32,287 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:27:32,287 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:27:32,287 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 504
- 2022-02-12 12:27:32,402 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189408 Loss2 0.359233
- 2022-02-12 12:27:47,468 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208656, best_loss=0.207537
- 2022-02-12 12:27:48,535 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193980, best_loss=0.194034
- 2022-02-12 12:27:48,563 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:27:48,564 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.276501893997192s
- 2022-02-12 12:27:48,564 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:27:48,564 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:27:48,564 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 505
- 2022-02-12 12:27:48,689 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201596 Loss2 0.374580
- 2022-02-12 12:28:03,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208422, best_loss=0.207537
- 2022-02-12 12:28:04,802 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193947, best_loss=0.193980
- 2022-02-12 12:28:04,831 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:28:04,832 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.267996311187744s
- 2022-02-12 12:28:04,832 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:28:04,832 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:28:04,832 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 506
- 2022-02-12 12:28:04,938 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180588 Loss2 0.358963
- 2022-02-12 12:28:19,928 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207955, best_loss=0.207537
- 2022-02-12 12:28:20,997 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193808, best_loss=0.193947
- 2022-02-12 12:28:21,026 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:28:21,027 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.194501638412476s
- 2022-02-12 12:28:21,027 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:28:21,027 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:28:21,027 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 507
- 2022-02-12 12:28:21,133 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198331 Loss2 0.399926
- 2022-02-12 12:28:36,109 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207897, best_loss=0.207537
- 2022-02-12 12:28:37,177 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193706, best_loss=0.193808
- 2022-02-12 12:28:37,204 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:28:37,205 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.178499937057495s
- 2022-02-12 12:28:37,205 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:28:37,205 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:28:37,205 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 508
- 2022-02-12 12:28:37,328 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199213 Loss2 0.354192
- 2022-02-12 12:28:52,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208545, best_loss=0.207537
- 2022-02-12 12:28:53,269 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193666, best_loss=0.193706
- 2022-02-12 12:28:53,297 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:28:53,297 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.09199857711792s
- 2022-02-12 12:28:53,298 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:28:53,298 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:28:53,298 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 509
- 2022-02-12 12:28:53,410 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176004 Loss2 0.353492
- 2022-02-12 12:29:08,277 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207816, best_loss=0.207537
- 2022-02-12 12:29:09,324 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193646, best_loss=0.193666
- 2022-02-12 12:29:09,353 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:29:09,353 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05550241470337s
- 2022-02-12 12:29:09,353 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:29:09,354 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:29:09,354 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 510
- 2022-02-12 12:29:09,468 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164768 Loss2 0.355912
- 2022-02-12 12:29:24,388 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207473, best_loss=0.207537
- 2022-02-12 12:29:24,416 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:29:25,481 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193659, best_loss=0.193646
- 2022-02-12 12:29:25,482 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.127999544143677s
- 2022-02-12 12:29:25,482 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:29:25,482 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:29:25,482 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 511
- 2022-02-12 12:29:25,607 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181404 Loss2 0.340465
- 2022-02-12 12:29:40,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208038, best_loss=0.207473
- 2022-02-12 12:29:41,558 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193769, best_loss=0.193646
- 2022-02-12 12:29:41,559 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.076998233795166s
- 2022-02-12 12:29:41,559 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:29:41,559 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:29:41,559 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 512
- 2022-02-12 12:29:41,676 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171930 Loss2 0.341001
- 2022-02-12 12:29:56,608 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207545, best_loss=0.207473
- 2022-02-12 12:29:57,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193733, best_loss=0.193646
- 2022-02-12 12:29:57,684 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.124504804611206s
- 2022-02-12 12:29:57,684 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:29:57,684 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:29:57,684 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 513
- 2022-02-12 12:29:57,798 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195691 Loss2 0.392637
- 2022-02-12 12:30:12,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209543, best_loss=0.207473
- 2022-02-12 12:30:14,041 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193759, best_loss=0.193646
- 2022-02-12 12:30:14,041 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.357495069503784s
- 2022-02-12 12:30:14,041 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:30:14,041 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:30:14,041 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 514
- 2022-02-12 12:30:14,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.218132 Loss2 0.390851
- 2022-02-12 12:30:29,263 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208552, best_loss=0.207473
- 2022-02-12 12:30:30,294 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193754, best_loss=0.193646
- 2022-02-12 12:30:30,294 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.253001928329468s
- 2022-02-12 12:30:30,294 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:30:30,294 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:30:30,295 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 515
- 2022-02-12 12:30:30,416 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161761 Loss2 0.321422
- 2022-02-12 12:30:45,481 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208071, best_loss=0.207473
- 2022-02-12 12:30:46,553 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193588, best_loss=0.193646
- 2022-02-12 12:30:46,579 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:30:46,580 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.285000562667847s
- 2022-02-12 12:30:46,580 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:30:46,580 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:30:46,580 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 516
- 2022-02-12 12:30:46,702 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177533 Loss2 0.324133
- 2022-02-12 12:31:01,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208332, best_loss=0.207473
- 2022-02-12 12:31:02,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193604, best_loss=0.193588
- 2022-02-12 12:31:02,825 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.245498657226562s
- 2022-02-12 12:31:02,825 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:31:02,825 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:31:02,825 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 517
- 2022-02-12 12:31:02,939 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.206886 Loss2 0.346555
- 2022-02-12 12:31:18,161 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207356, best_loss=0.207473
- 2022-02-12 12:31:18,188 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:31:19,252 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193480, best_loss=0.193588
- 2022-02-12 12:31:19,278 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:31:19,279 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4535014629364s
- 2022-02-12 12:31:19,279 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:31:19,279 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:31:19,279 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 518
- 2022-02-12 12:31:19,390 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191411 Loss2 0.363862
- 2022-02-12 12:31:34,351 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207126, best_loss=0.207356
- 2022-02-12 12:31:34,379 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:31:35,446 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193430, best_loss=0.193480
- 2022-02-12 12:31:35,473 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:31:35,474 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.195000648498535s
- 2022-02-12 12:31:35,474 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:31:35,474 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:31:35,474 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 519
- 2022-02-12 12:31:35,585 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188612 Loss2 0.341732
- 2022-02-12 12:31:50,679 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207594, best_loss=0.207126
- 2022-02-12 12:31:51,747 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193376, best_loss=0.193430
- 2022-02-12 12:31:51,778 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:31:51,779 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30449938774109s
- 2022-02-12 12:31:51,779 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:31:51,779 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:31:51,779 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 520
- 2022-02-12 12:31:51,883 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169150 Loss2 0.324991
- 2022-02-12 12:32:06,973 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207760, best_loss=0.207126
- 2022-02-12 12:32:08,048 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193316, best_loss=0.193376
- 2022-02-12 12:32:08,078 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:32:08,078 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.299501180648804s
- 2022-02-12 12:32:08,078 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:32:08,078 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:32:08,079 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 521
- 2022-02-12 12:32:08,187 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159029 Loss2 0.285873
- 2022-02-12 12:32:23,222 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205856, best_loss=0.207126
- 2022-02-12 12:32:23,251 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:32:24,329 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193409, best_loss=0.193316
- 2022-02-12 12:32:24,329 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.250474452972412s
- 2022-02-12 12:32:24,330 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:32:24,330 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:32:24,330 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 522
- 2022-02-12 12:32:24,448 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196374 Loss2 0.342402
- 2022-02-12 12:32:39,421 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206893, best_loss=0.205856
- 2022-02-12 12:32:40,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193377, best_loss=0.193316
- 2022-02-12 12:32:40,484 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1544988155365s
- 2022-02-12 12:32:40,484 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:32:40,484 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:32:40,484 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 523
- 2022-02-12 12:32:40,598 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191093 Loss2 0.379386
- 2022-02-12 12:32:55,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206171, best_loss=0.205856
- 2022-02-12 12:32:56,614 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193234, best_loss=0.193316
- 2022-02-12 12:32:56,640 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:32:56,640 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15600347518921s
- 2022-02-12 12:32:56,640 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:32:56,640 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:32:56,641 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 524
- 2022-02-12 12:32:56,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183595 Loss2 0.338785
- 2022-02-12 12:33:11,919 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208501, best_loss=0.205856
- 2022-02-12 12:33:12,994 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193222, best_loss=0.193234
- 2022-02-12 12:33:13,021 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:33:13,022 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.380999088287354s
- 2022-02-12 12:33:13,022 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:33:13,022 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:33:13,022 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 525
- 2022-02-12 12:33:13,137 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166787 Loss2 0.318086
- 2022-02-12 12:33:28,269 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206876, best_loss=0.205856
- 2022-02-12 12:33:29,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193142, best_loss=0.193222
- 2022-02-12 12:33:29,379 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:33:29,379 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.357001781463623s
- 2022-02-12 12:33:29,379 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:33:29,379 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:33:29,379 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 526
- 2022-02-12 12:33:29,501 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188742 Loss2 0.345119
- 2022-02-12 12:33:44,517 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206096, best_loss=0.205856
- 2022-02-12 12:33:45,592 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193116, best_loss=0.193142
- 2022-02-12 12:33:45,619 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:33:45,620 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.240498065948486s
- 2022-02-12 12:33:45,620 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:33:45,620 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:33:45,620 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 527
- 2022-02-12 12:33:45,729 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181679 Loss2 0.353837
- 2022-02-12 12:34:00,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206926, best_loss=0.205856
- 2022-02-12 12:34:01,879 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193107, best_loss=0.193116
- 2022-02-12 12:34:01,907 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:34:01,907 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.286999225616455s
- 2022-02-12 12:34:01,907 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:34:01,908 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:34:01,908 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 528
- 2022-02-12 12:34:02,018 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204695 Loss2 0.351216
- 2022-02-12 12:34:17,203 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206654, best_loss=0.205856
- 2022-02-12 12:34:18,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193019, best_loss=0.193107
- 2022-02-12 12:34:18,279 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:34:18,280 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.371999502182007s
- 2022-02-12 12:34:18,280 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:34:18,280 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:34:18,280 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 529
- 2022-02-12 12:34:18,397 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214105 Loss2 0.385474
- 2022-02-12 12:34:33,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205697, best_loss=0.205856
- 2022-02-12 12:34:33,645 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:34:34,715 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192968, best_loss=0.193019
- 2022-02-12 12:34:34,744 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:34:34,744 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.463998317718506s
- 2022-02-12 12:34:34,744 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:34:34,745 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:34:34,745 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 530
- 2022-02-12 12:34:34,864 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164296 Loss2 0.324546
- 2022-02-12 12:34:49,985 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207056, best_loss=0.205697
- 2022-02-12 12:34:51,033 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192831, best_loss=0.192968
- 2022-02-12 12:34:51,060 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:34:51,060 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31550168991089s
- 2022-02-12 12:34:51,060 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:34:51,061 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:34:51,061 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 531
- 2022-02-12 12:34:51,172 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202855 Loss2 0.353670
- 2022-02-12 12:35:06,050 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208269, best_loss=0.205697
- 2022-02-12 12:35:07,111 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192720, best_loss=0.192831
- 2022-02-12 12:35:07,140 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:35:07,141 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.079998254776s
- 2022-02-12 12:35:07,141 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:35:07,141 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:35:07,141 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 532
- 2022-02-12 12:35:07,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198484 Loss2 0.360699
- 2022-02-12 12:35:22,299 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207097, best_loss=0.205697
- 2022-02-12 12:35:23,357 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192725, best_loss=0.192720
- 2022-02-12 12:35:23,358 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.217004776000977s
- 2022-02-12 12:35:23,358 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:35:23,358 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:35:23,358 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 533
- 2022-02-12 12:35:23,471 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169929 Loss2 0.341277
- 2022-02-12 12:35:38,529 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207163, best_loss=0.205697
- 2022-02-12 12:35:39,583 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192754, best_loss=0.192720
- 2022-02-12 12:35:39,584 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.225497722625732s
- 2022-02-12 12:35:39,584 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:35:39,584 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:35:39,584 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 534
- 2022-02-12 12:35:39,693 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193872 Loss2 0.358068
- 2022-02-12 12:35:54,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206030, best_loss=0.205697
- 2022-02-12 12:35:55,643 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192723, best_loss=0.192720
- 2022-02-12 12:35:55,643 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.059499979019165s
- 2022-02-12 12:35:55,643 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:35:55,643 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:35:55,643 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 535
- 2022-02-12 12:35:55,755 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202148 Loss2 0.378102
- 2022-02-12 12:36:10,722 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206291, best_loss=0.205697
- 2022-02-12 12:36:11,802 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192728, best_loss=0.192720
- 2022-02-12 12:36:11,802 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15899968147278s
- 2022-02-12 12:36:11,802 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:36:11,802 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:36:11,802 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 536
- 2022-02-12 12:36:11,933 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197621 Loss2 0.378804
- 2022-02-12 12:36:27,057 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206452, best_loss=0.205697
- 2022-02-12 12:36:28,124 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192717, best_loss=0.192720
- 2022-02-12 12:36:28,150 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:36:28,151 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34850001335144s
- 2022-02-12 12:36:28,151 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:36:28,151 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:36:28,151 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 537
- 2022-02-12 12:36:28,258 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174506 Loss2 0.337479
- 2022-02-12 12:36:43,329 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206862, best_loss=0.205697
- 2022-02-12 12:36:44,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192621, best_loss=0.192717
- 2022-02-12 12:36:44,419 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:36:44,419 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.268000602722168s
- 2022-02-12 12:36:44,419 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:36:44,419 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:36:44,420 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 538
- 2022-02-12 12:36:44,533 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200245 Loss2 0.360380
- 2022-02-12 12:36:59,553 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207793, best_loss=0.205697
- 2022-02-12 12:37:00,627 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192569, best_loss=0.192621
- 2022-02-12 12:37:00,653 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:37:00,653 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.233502864837646s
- 2022-02-12 12:37:00,653 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:37:00,653 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:37:00,653 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 539
- 2022-02-12 12:37:00,787 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184090 Loss2 0.358382
- 2022-02-12 12:37:15,639 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206222, best_loss=0.205697
- 2022-02-12 12:37:16,728 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192625, best_loss=0.192569
- 2022-02-12 12:37:16,729 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.07499670982361s
- 2022-02-12 12:37:16,729 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:37:16,729 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:37:16,729 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 540
- 2022-02-12 12:37:16,851 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184417 Loss2 0.324153
- 2022-02-12 12:37:31,780 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206746, best_loss=0.205697
- 2022-02-12 12:37:32,849 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192724, best_loss=0.192569
- 2022-02-12 12:37:32,850 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.120997428894043s
- 2022-02-12 12:37:32,850 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:37:32,850 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:37:32,850 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 541
- 2022-02-12 12:37:32,971 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.239695 Loss2 0.331543
- 2022-02-12 12:37:47,901 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207396, best_loss=0.205697
- 2022-02-12 12:37:48,971 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192580, best_loss=0.192569
- 2022-02-12 12:37:48,971 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12150239944458s
- 2022-02-12 12:37:48,971 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:37:48,971 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:37:48,971 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 542
- 2022-02-12 12:37:49,112 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168477 Loss2 0.338955
- 2022-02-12 12:38:04,064 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208316, best_loss=0.205697
- 2022-02-12 12:38:05,127 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192540, best_loss=0.192569
- 2022-02-12 12:38:05,156 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:38:05,156 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.184528350830078s
- 2022-02-12 12:38:05,156 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:38:05,156 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:38:05,156 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 543
- 2022-02-12 12:38:05,275 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186591 Loss2 0.356143
- 2022-02-12 12:38:20,353 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206811, best_loss=0.205697
- 2022-02-12 12:38:21,419 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192463, best_loss=0.192540
- 2022-02-12 12:38:21,447 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:38:21,447 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.29047465324402s
- 2022-02-12 12:38:21,447 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:38:21,447 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:38:21,447 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 544
- 2022-02-12 12:38:21,560 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192366 Loss2 0.348445
- 2022-02-12 12:38:36,541 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206147, best_loss=0.205697
- 2022-02-12 12:38:37,606 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192350, best_loss=0.192463
- 2022-02-12 12:38:37,632 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:38:37,633 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18500065803528s
- 2022-02-12 12:38:37,633 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:38:37,633 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:38:37,633 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 545
- 2022-02-12 12:38:37,742 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159931 Loss2 0.335099
- 2022-02-12 12:38:52,726 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207116, best_loss=0.205697
- 2022-02-12 12:38:53,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192403, best_loss=0.192350
- 2022-02-12 12:38:53,812 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17900061607361s
- 2022-02-12 12:38:53,812 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:38:53,812 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:38:53,812 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 546
- 2022-02-12 12:38:53,937 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184570 Loss2 0.335819
- 2022-02-12 12:39:08,783 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205625, best_loss=0.205697
- 2022-02-12 12:39:08,811 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:39:09,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192323, best_loss=0.192350
- 2022-02-12 12:39:09,892 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:39:09,892 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.07999849319458s
- 2022-02-12 12:39:09,892 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:39:09,892 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:39:09,892 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 547
- 2022-02-12 12:39:10,018 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181008 Loss2 0.328381
- 2022-02-12 12:39:25,243 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206509, best_loss=0.205625
- 2022-02-12 12:39:26,305 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192418, best_loss=0.192323
- 2022-02-12 12:39:26,306 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.413508653640747s
- 2022-02-12 12:39:26,306 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:39:26,306 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:39:26,306 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 548
- 2022-02-12 12:39:26,418 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190335 Loss2 0.351303
- 2022-02-12 12:39:41,619 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206627, best_loss=0.205625
- 2022-02-12 12:39:42,701 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192207, best_loss=0.192323
- 2022-02-12 12:39:42,730 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:39:42,731 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.424501180648804s
- 2022-02-12 12:39:42,731 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:39:42,731 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:39:42,731 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 549
- 2022-02-12 12:39:42,836 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187319 Loss2 0.361952
- 2022-02-12 12:39:57,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207383, best_loss=0.205625
- 2022-02-12 12:39:58,951 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192140, best_loss=0.192207
- 2022-02-12 12:39:58,977 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:39:58,978 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24700140953064s
- 2022-02-12 12:39:58,978 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:39:58,978 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:39:58,978 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 550
- 2022-02-12 12:39:59,096 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163865 Loss2 0.342492
- 2022-02-12 12:40:14,086 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205999, best_loss=0.205625
- 2022-02-12 12:40:15,119 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192119, best_loss=0.192140
- 2022-02-12 12:40:15,146 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:40:15,147 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.168498039245605s
- 2022-02-12 12:40:15,147 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:40:15,147 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:40:15,147 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 551
- 2022-02-12 12:40:15,261 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172628 Loss2 0.313813
- 2022-02-12 12:40:30,189 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205628, best_loss=0.205625
- 2022-02-12 12:40:31,249 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192059, best_loss=0.192119
- 2022-02-12 12:40:31,279 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:40:31,279 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.132001638412476s
- 2022-02-12 12:40:31,279 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:40:31,279 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:40:31,279 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 552
- 2022-02-12 12:40:31,405 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181328 Loss2 0.323959
- 2022-02-12 12:40:46,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205518, best_loss=0.205625
- 2022-02-12 12:40:46,699 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:40:47,741 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192035, best_loss=0.192059
- 2022-02-12 12:40:47,770 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:40:47,771 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.491498947143555s
- 2022-02-12 12:40:47,771 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:40:47,771 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:40:47,771 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 553
- 2022-02-12 12:40:47,883 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178357 Loss2 0.342305
- 2022-02-12 12:41:03,003 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205647, best_loss=0.205518
- 2022-02-12 12:41:04,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192081, best_loss=0.192035
- 2022-02-12 12:41:04,059 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.287998914718628s
- 2022-02-12 12:41:04,059 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:41:04,059 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:41:04,059 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 554
- 2022-02-12 12:41:04,182 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198119 Loss2 0.375063
- 2022-02-12 12:41:19,298 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.209140, best_loss=0.205518
- 2022-02-12 12:41:20,385 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192182, best_loss=0.192035
- 2022-02-12 12:41:20,386 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.32649850845337s
- 2022-02-12 12:41:20,386 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:41:20,386 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:41:20,386 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 555
- 2022-02-12 12:41:20,513 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192676 Loss2 0.372945
- 2022-02-12 12:41:35,481 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206302, best_loss=0.205518
- 2022-02-12 12:41:36,545 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192195, best_loss=0.192035
- 2022-02-12 12:41:36,546 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.160000324249268s
- 2022-02-12 12:41:36,546 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:41:36,546 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:41:36,546 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 556
- 2022-02-12 12:41:36,667 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196018 Loss2 0.340909
- 2022-02-12 12:41:51,667 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206655, best_loss=0.205518
- 2022-02-12 12:41:52,741 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192181, best_loss=0.192035
- 2022-02-12 12:41:52,742 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19550085067749s
- 2022-02-12 12:41:52,742 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:41:52,742 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:41:52,742 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 557
- 2022-02-12 12:41:52,860 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199303 Loss2 0.346269
- 2022-02-12 12:42:07,869 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205356, best_loss=0.205518
- 2022-02-12 12:42:07,895 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:42:08,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192156, best_loss=0.192035
- 2022-02-12 12:42:08,965 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2230007648468s
- 2022-02-12 12:42:08,965 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:42:08,965 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:42:08,965 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 558
- 2022-02-12 12:42:09,079 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168225 Loss2 0.299130
- 2022-02-12 12:42:24,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206167, best_loss=0.205356
- 2022-02-12 12:42:25,257 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192240, best_loss=0.192035
- 2022-02-12 12:42:25,258 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.292999982833862s
- 2022-02-12 12:42:25,258 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:42:25,258 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:42:25,258 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 559
- 2022-02-12 12:42:25,369 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180150 Loss2 0.361029
- 2022-02-12 12:42:40,309 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205560, best_loss=0.205356
- 2022-02-12 12:42:41,374 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192180, best_loss=0.192035
- 2022-02-12 12:42:41,375 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.117499113082886s
- 2022-02-12 12:42:41,375 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:42:41,375 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:42:41,375 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 560
- 2022-02-12 12:42:41,492 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168580 Loss2 0.344166
- 2022-02-12 12:42:56,539 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204985, best_loss=0.205356
- 2022-02-12 12:42:56,565 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:42:57,639 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192063, best_loss=0.192035
- 2022-02-12 12:42:57,639 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26400113105774s
- 2022-02-12 12:42:57,639 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:42:57,639 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:42:57,639 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 561
- 2022-02-12 12:42:57,747 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173357 Loss2 0.352248
- 2022-02-12 12:43:12,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205737, best_loss=0.204985
- 2022-02-12 12:43:13,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192034, best_loss=0.192035
- 2022-02-12 12:43:13,771 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:43:13,772 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13249969482422s
- 2022-02-12 12:43:13,772 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:43:13,772 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:43:13,772 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 562
- 2022-02-12 12:43:13,878 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149532 Loss2 0.326867
- 2022-02-12 12:43:29,006 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.212124, best_loss=0.204985
- 2022-02-12 12:43:30,068 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191930, best_loss=0.192034
- 2022-02-12 12:43:30,095 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:43:30,096 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3240008354187s
- 2022-02-12 12:43:30,096 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:43:30,096 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:43:30,096 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 563
- 2022-02-12 12:43:30,200 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178736 Loss2 0.354234
- 2022-02-12 12:43:45,392 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205778, best_loss=0.204985
- 2022-02-12 12:43:46,466 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191927, best_loss=0.191930
- 2022-02-12 12:43:46,493 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:43:46,494 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.397501707077026s
- 2022-02-12 12:43:46,494 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:43:46,494 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:43:46,494 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 564
- 2022-02-12 12:43:46,614 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175649 Loss2 0.359049
- 2022-02-12 12:44:01,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204476, best_loss=0.204985
- 2022-02-12 12:44:01,644 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:44:02,664 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191836, best_loss=0.191927
- 2022-02-12 12:44:02,691 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:44:02,691 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.197498083114624s
- 2022-02-12 12:44:02,691 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:44:02,691 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:44:02,691 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 565
- 2022-02-12 12:44:02,806 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187034 Loss2 0.362821
- 2022-02-12 12:44:17,853 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205299, best_loss=0.204476
- 2022-02-12 12:44:18,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191801, best_loss=0.191836
- 2022-02-12 12:44:18,945 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:44:18,945 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25399875640869s
- 2022-02-12 12:44:18,946 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:44:18,946 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:44:18,946 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 566
- 2022-02-12 12:44:19,057 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168757 Loss2 0.328185
- 2022-02-12 12:44:34,142 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205811, best_loss=0.204476
- 2022-02-12 12:44:35,218 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191740, best_loss=0.191801
- 2022-02-12 12:44:35,245 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:44:35,245 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.299501657485962s
- 2022-02-12 12:44:35,245 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:44:35,245 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:44:35,245 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 567
- 2022-02-12 12:44:35,353 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186937 Loss2 0.336164
- 2022-02-12 12:44:50,376 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204901, best_loss=0.204476
- 2022-02-12 12:44:51,404 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191783, best_loss=0.191740
- 2022-02-12 12:44:51,405 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1594979763031s
- 2022-02-12 12:44:51,405 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:44:51,405 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:44:51,405 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 568
- 2022-02-12 12:44:51,511 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186652 Loss2 0.358159
- 2022-02-12 12:45:06,453 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206237, best_loss=0.204476
- 2022-02-12 12:45:07,538 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191680, best_loss=0.191740
- 2022-02-12 12:45:07,568 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:45:07,568 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.163027048110962s
- 2022-02-12 12:45:07,568 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:45:07,568 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:45:07,569 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 569
- 2022-02-12 12:45:07,681 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171160 Loss2 0.317005
- 2022-02-12 12:45:22,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204668, best_loss=0.204476
- 2022-02-12 12:45:23,885 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191708, best_loss=0.191680
- 2022-02-12 12:45:23,886 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31696605682373s
- 2022-02-12 12:45:23,886 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:45:23,886 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:45:23,886 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 570
- 2022-02-12 12:45:23,991 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165319 Loss2 0.375712
- 2022-02-12 12:45:39,120 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205581, best_loss=0.204476
- 2022-02-12 12:45:40,186 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191692, best_loss=0.191680
- 2022-02-12 12:45:40,186 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30000066757202s
- 2022-02-12 12:45:40,186 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:45:40,187 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:45:40,187 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 571
- 2022-02-12 12:45:40,296 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183749 Loss2 0.331897
- 2022-02-12 12:45:55,341 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204889, best_loss=0.204476
- 2022-02-12 12:45:56,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191665, best_loss=0.191680
- 2022-02-12 12:45:56,437 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:45:56,437 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25050187110901s
- 2022-02-12 12:45:56,438 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:45:56,438 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:45:56,438 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 572
- 2022-02-12 12:45:56,550 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170914 Loss2 0.348357
- 2022-02-12 12:46:11,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204623, best_loss=0.204476
- 2022-02-12 12:46:12,871 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191725, best_loss=0.191665
- 2022-02-12 12:46:12,871 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.433499574661255s
- 2022-02-12 12:46:12,872 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:46:12,872 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:46:12,872 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 573
- 2022-02-12 12:46:12,989 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201534 Loss2 0.377026
- 2022-02-12 12:46:28,094 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204476, best_loss=0.204476
- 2022-02-12 12:46:29,155 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191663, best_loss=0.191665
- 2022-02-12 12:46:29,181 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:46:29,181 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.309500455856323s
- 2022-02-12 12:46:29,181 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:46:29,181 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:46:29,182 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 574
- 2022-02-12 12:46:29,289 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183612 Loss2 0.342841
- 2022-02-12 12:46:44,378 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205542, best_loss=0.204476
- 2022-02-12 12:46:45,435 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191565, best_loss=0.191663
- 2022-02-12 12:46:45,463 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:46:45,463 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.281497955322266s
- 2022-02-12 12:46:45,464 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:46:45,464 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:46:45,464 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 575
- 2022-02-12 12:46:45,576 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179035 Loss2 0.354108
- 2022-02-12 12:47:00,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205394, best_loss=0.204476
- 2022-02-12 12:47:01,655 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191600, best_loss=0.191565
- 2022-02-12 12:47:01,656 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19249677658081s
- 2022-02-12 12:47:01,656 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:47:01,656 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:47:01,656 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 576
- 2022-02-12 12:47:01,769 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175711 Loss2 0.334253
- 2022-02-12 12:47:16,958 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204939, best_loss=0.204476
- 2022-02-12 12:47:18,017 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191538, best_loss=0.191565
- 2022-02-12 12:47:18,045 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:47:18,045 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.389001607894897s
- 2022-02-12 12:47:18,045 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:47:18,045 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:47:18,045 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 577
- 2022-02-12 12:47:18,172 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173094 Loss2 0.339666
- 2022-02-12 12:47:33,160 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205972, best_loss=0.204476
- 2022-02-12 12:47:34,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191689, best_loss=0.191538
- 2022-02-12 12:47:34,221 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.176000118255615s
- 2022-02-12 12:47:34,222 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:47:34,222 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:47:34,222 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 578
- 2022-02-12 12:47:34,342 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181106 Loss2 0.367475
- 2022-02-12 12:47:49,479 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205040, best_loss=0.204476
- 2022-02-12 12:47:50,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191681, best_loss=0.191538
- 2022-02-12 12:47:50,543 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.321000814437866s
- 2022-02-12 12:47:50,543 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:47:50,543 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:47:50,543 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 579
- 2022-02-12 12:47:50,655 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192966 Loss2 0.368193
- 2022-02-12 12:48:05,610 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205955, best_loss=0.204476
- 2022-02-12 12:48:06,682 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191773, best_loss=0.191538
- 2022-02-12 12:48:06,683 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13999915122986s
- 2022-02-12 12:48:06,683 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:48:06,683 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:48:06,683 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 580
- 2022-02-12 12:48:06,799 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192128 Loss2 0.357328
- 2022-02-12 12:48:21,814 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204974, best_loss=0.204476
- 2022-02-12 12:48:22,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191643, best_loss=0.191538
- 2022-02-12 12:48:22,890 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.206501245498657s
- 2022-02-12 12:48:22,890 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:48:22,890 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:48:22,890 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 581
- 2022-02-12 12:48:23,003 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164330 Loss2 0.320970
- 2022-02-12 12:48:37,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205289, best_loss=0.204476
- 2022-02-12 12:48:39,046 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191676, best_loss=0.191538
- 2022-02-12 12:48:39,046 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.155998468399048s
- 2022-02-12 12:48:39,046 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:48:39,046 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:48:39,046 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 582
- 2022-02-12 12:48:39,157 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183399 Loss2 0.348163
- 2022-02-12 12:48:54,141 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204421, best_loss=0.204476
- 2022-02-12 12:48:54,168 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:48:55,226 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191599, best_loss=0.191538
- 2022-02-12 12:48:55,226 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.179500579833984s
- 2022-02-12 12:48:55,227 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:48:55,227 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:48:55,227 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 583
- 2022-02-12 12:48:55,338 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204315 Loss2 0.367637
- 2022-02-12 12:49:10,386 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204601, best_loss=0.204421
- 2022-02-12 12:49:11,456 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191474, best_loss=0.191538
- 2022-02-12 12:49:11,484 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:49:11,484 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25749897956848s
- 2022-02-12 12:49:11,484 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:49:11,484 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:49:11,485 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 584
- 2022-02-12 12:49:11,596 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176522 Loss2 0.366105
- 2022-02-12 12:49:26,547 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205710, best_loss=0.204421
- 2022-02-12 12:49:27,609 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191480, best_loss=0.191474
- 2022-02-12 12:49:27,610 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.124998807907104s
- 2022-02-12 12:49:27,610 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:49:27,610 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:49:27,610 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 585
- 2022-02-12 12:49:27,723 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203836 Loss2 0.354236
- 2022-02-12 12:49:42,972 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204625, best_loss=0.204421
- 2022-02-12 12:49:44,042 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191468, best_loss=0.191474
- 2022-02-12 12:49:44,069 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:49:44,070 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.459502696990967s
- 2022-02-12 12:49:44,070 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:49:44,070 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:49:44,070 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 586
- 2022-02-12 12:49:44,191 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202575 Loss2 0.365686
- 2022-02-12 12:49:59,313 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204652, best_loss=0.204421
- 2022-02-12 12:50:00,377 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191457, best_loss=0.191468
- 2022-02-12 12:50:00,406 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:50:00,407 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3364999294281s
- 2022-02-12 12:50:00,407 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:50:00,407 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:50:00,407 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 587
- 2022-02-12 12:50:00,522 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190943 Loss2 0.380994
- 2022-02-12 12:50:15,477 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206299, best_loss=0.204421
- 2022-02-12 12:50:16,537 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191284, best_loss=0.191457
- 2022-02-12 12:50:16,563 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:50:16,563 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1560001373291s
- 2022-02-12 12:50:16,563 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:50:16,563 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:50:16,563 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 588
- 2022-02-12 12:50:16,700 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177153 Loss2 0.354039
- 2022-02-12 12:50:31,834 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204012, best_loss=0.204421
- 2022-02-12 12:50:31,863 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:50:32,934 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191376, best_loss=0.191284
- 2022-02-12 12:50:32,935 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.372000455856323s
- 2022-02-12 12:50:32,935 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:50:32,935 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:50:32,935 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 589
- 2022-02-12 12:50:33,045 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156885 Loss2 0.321907
- 2022-02-12 12:50:48,032 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205887, best_loss=0.204012
- 2022-02-12 12:50:49,100 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191377, best_loss=0.191284
- 2022-02-12 12:50:49,101 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16499972343445s
- 2022-02-12 12:50:49,101 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:50:49,101 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:50:49,101 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 590
- 2022-02-12 12:50:49,215 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174852 Loss2 0.358448
- 2022-02-12 12:51:04,282 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204040, best_loss=0.204012
- 2022-02-12 12:51:05,297 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191410, best_loss=0.191284
- 2022-02-12 12:51:05,298 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19699788093567s
- 2022-02-12 12:51:05,298 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:51:05,298 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:51:05,298 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 591
- 2022-02-12 12:51:05,409 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182135 Loss2 0.340446
- 2022-02-12 12:51:20,614 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204926, best_loss=0.204012
- 2022-02-12 12:51:21,689 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191396, best_loss=0.191284
- 2022-02-12 12:51:21,689 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.391501903533936s
- 2022-02-12 12:51:21,689 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:51:21,689 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:51:21,689 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 592
- 2022-02-12 12:51:21,803 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196134 Loss2 0.340215
- 2022-02-12 12:51:36,689 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204115, best_loss=0.204012
- 2022-02-12 12:51:37,733 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191211, best_loss=0.191284
- 2022-02-12 12:51:37,762 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:51:37,763 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.073000192642212s
- 2022-02-12 12:51:37,763 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:51:37,763 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:51:37,763 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 593
- 2022-02-12 12:51:37,875 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173832 Loss2 0.341790
- 2022-02-12 12:51:53,073 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204191, best_loss=0.204012
- 2022-02-12 12:51:54,146 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191159, best_loss=0.191211
- 2022-02-12 12:51:54,175 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:51:54,175 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41249990463257s
- 2022-02-12 12:51:54,175 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:51:54,175 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:51:54,175 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 594
- 2022-02-12 12:51:54,283 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178631 Loss2 0.371931
- 2022-02-12 12:52:09,308 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204551, best_loss=0.204012
- 2022-02-12 12:52:10,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190811, best_loss=0.191159
- 2022-02-12 12:52:10,408 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:52:10,409 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.233502864837646s
- 2022-02-12 12:52:10,409 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:52:10,409 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:52:10,409 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 595
- 2022-02-12 12:52:10,516 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158760 Loss2 0.315965
- 2022-02-12 12:52:25,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204638, best_loss=0.204012
- 2022-02-12 12:52:26,463 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190659, best_loss=0.190811
- 2022-02-12 12:52:26,493 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:52:26,493 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08399748802185s
- 2022-02-12 12:52:26,494 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:52:26,494 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:52:26,494 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 596
- 2022-02-12 12:52:26,609 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172955 Loss2 0.357034
- 2022-02-12 12:52:41,473 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204307, best_loss=0.204012
- 2022-02-12 12:52:42,545 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190633, best_loss=0.190659
- 2022-02-12 12:52:42,571 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:52:42,572 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.078001976013184s
- 2022-02-12 12:52:42,572 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:52:42,572 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:52:42,572 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 597
- 2022-02-12 12:52:42,692 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165777 Loss2 0.321609
- 2022-02-12 12:52:57,747 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204827, best_loss=0.204012
- 2022-02-12 12:52:58,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190611, best_loss=0.190633
- 2022-02-12 12:52:58,840 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:52:58,840 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.267998218536377s
- 2022-02-12 12:52:58,840 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:52:58,841 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:52:58,841 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 598
- 2022-02-12 12:52:58,948 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177646 Loss2 0.351792
- 2022-02-12 12:53:14,216 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203644, best_loss=0.204012
- 2022-02-12 12:53:14,242 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:53:15,307 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190617, best_loss=0.190611
- 2022-02-12 12:53:15,308 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46700096130371s
- 2022-02-12 12:53:15,308 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:53:15,308 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:53:15,308 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 599
- 2022-02-12 12:53:15,419 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178816 Loss2 0.339322
- 2022-02-12 12:53:30,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204364, best_loss=0.203644
- 2022-02-12 12:53:31,574 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190767, best_loss=0.190611
- 2022-02-12 12:53:31,575 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26699995994568s
- 2022-02-12 12:53:31,575 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:53:31,575 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:53:31,575 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 600
- 2022-02-12 12:53:31,677 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174705 Loss2 0.331038
- 2022-02-12 12:53:46,687 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205150, best_loss=0.203644
- 2022-02-12 12:53:47,758 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190792, best_loss=0.190611
- 2022-02-12 12:53:47,759 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.183500051498413s
- 2022-02-12 12:53:47,759 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:53:47,759 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:53:47,759 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 601
- 2022-02-12 12:53:47,880 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183916 Loss2 0.374026
- 2022-02-12 12:54:02,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204080, best_loss=0.203644
- 2022-02-12 12:54:03,909 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190863, best_loss=0.190611
- 2022-02-12 12:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15099835395813s
- 2022-02-12 12:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 602
- 2022-02-12 12:54:04,023 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165028 Loss2 0.341219
- 2022-02-12 12:54:19,041 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205984, best_loss=0.203644
- 2022-02-12 12:54:20,101 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190761, best_loss=0.190611
- 2022-02-12 12:54:20,101 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.191004037857056s
- 2022-02-12 12:54:20,101 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:54:20,101 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:54:20,101 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 603
- 2022-02-12 12:54:20,220 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161397 Loss2 0.337233
- 2022-02-12 12:54:35,160 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204570, best_loss=0.203644
- 2022-02-12 12:54:36,236 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190670, best_loss=0.190611
- 2022-02-12 12:54:36,236 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.134995937347412s
- 2022-02-12 12:54:36,236 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:54:36,236 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:54:36,236 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 604
- 2022-02-12 12:54:36,352 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171984 Loss2 0.346499
- 2022-02-12 12:54:51,431 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204512, best_loss=0.203644
- 2022-02-12 12:54:52,494 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190663, best_loss=0.190611
- 2022-02-12 12:54:52,495 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.258501291275024s
- 2022-02-12 12:54:52,495 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:54:52,495 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:54:52,495 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 605
- 2022-02-12 12:54:52,612 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182179 Loss2 0.357358
- 2022-02-12 12:55:07,637 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204359, best_loss=0.203644
- 2022-02-12 12:55:08,712 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190583, best_loss=0.190611
- 2022-02-12 12:55:08,741 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:55:08,741 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.246000051498413s
- 2022-02-12 12:55:08,741 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:55:08,741 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:55:08,742 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 606
- 2022-02-12 12:55:08,854 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166598 Loss2 0.325901
- 2022-02-12 12:55:23,949 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202995, best_loss=0.203644
- 2022-02-12 12:55:23,976 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:55:25,043 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190557, best_loss=0.190583
- 2022-02-12 12:55:25,069 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:55:25,070 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.328497886657715s
- 2022-02-12 12:55:25,070 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:55:25,070 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:55:25,070 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 607
- 2022-02-12 12:55:25,190 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191866 Loss2 0.366683
- 2022-02-12 12:55:40,233 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204727, best_loss=0.202995
- 2022-02-12 12:55:41,295 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190500, best_loss=0.190557
- 2022-02-12 12:55:41,323 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:55:41,324 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.254000663757324s
- 2022-02-12 12:55:41,324 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:55:41,324 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:55:41,324 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 608
- 2022-02-12 12:55:41,435 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171252 Loss2 0.355529
- 2022-02-12 12:55:56,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203885, best_loss=0.202995
- 2022-02-12 12:55:57,496 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190570, best_loss=0.190500
- 2022-02-12 12:55:57,496 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17199945449829s
- 2022-02-12 12:55:57,496 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:55:57,496 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:55:57,496 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 609
- 2022-02-12 12:55:57,602 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179871 Loss2 0.345250
- 2022-02-12 12:56:12,613 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204059, best_loss=0.202995
- 2022-02-12 12:56:13,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190579, best_loss=0.190500
- 2022-02-12 12:56:13,681 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.184503316879272s
- 2022-02-12 12:56:13,681 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:56:13,681 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:56:13,681 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 610
- 2022-02-12 12:56:13,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194078 Loss2 0.398472
- 2022-02-12 12:56:29,013 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204163, best_loss=0.202995
- 2022-02-12 12:56:30,066 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190579, best_loss=0.190500
- 2022-02-12 12:56:30,067 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.38649845123291s
- 2022-02-12 12:56:30,067 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:56:30,067 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:56:30,067 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 611
- 2022-02-12 12:56:30,188 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169428 Loss2 0.367833
- 2022-02-12 12:56:45,049 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204204, best_loss=0.202995
- 2022-02-12 12:56:46,126 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190463, best_loss=0.190500
- 2022-02-12 12:56:46,152 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:56:46,152 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08500027656555s
- 2022-02-12 12:56:46,152 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:56:46,153 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:56:46,153 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 612
- 2022-02-12 12:56:46,263 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199816 Loss2 0.358577
- 2022-02-12 12:57:01,183 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204265, best_loss=0.202995
- 2022-02-12 12:57:02,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190480, best_loss=0.190463
- 2022-02-12 12:57:02,251 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.09850263595581s
- 2022-02-12 12:57:02,252 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:57:02,252 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:57:02,252 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 613
- 2022-02-12 12:57:02,378 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204205 Loss2 0.343949
- 2022-02-12 12:57:17,488 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204568, best_loss=0.202995
- 2022-02-12 12:57:18,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190425, best_loss=0.190463
- 2022-02-12 12:57:18,570 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:57:18,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31899929046631s
- 2022-02-12 12:57:18,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:57:18,571 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:57:18,571 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 614
- 2022-02-12 12:57:18,681 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187184 Loss2 0.375630
- 2022-02-12 12:57:33,706 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204522, best_loss=0.202995
- 2022-02-12 12:57:34,771 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190404, best_loss=0.190425
- 2022-02-12 12:57:34,797 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:57:34,798 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.226499319076538s
- 2022-02-12 12:57:34,798 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:57:34,798 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:57:34,798 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 615
- 2022-02-12 12:57:34,919 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173678 Loss2 0.352928
- 2022-02-12 12:57:49,950 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203722, best_loss=0.202995
- 2022-02-12 12:57:51,016 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190398, best_loss=0.190404
- 2022-02-12 12:57:51,042 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:57:51,043 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.244500637054443s
- 2022-02-12 12:57:51,043 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:57:51,043 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:57:51,043 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 616
- 2022-02-12 12:57:51,166 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174694 Loss2 0.324293
- 2022-02-12 12:58:06,312 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203987, best_loss=0.202995
- 2022-02-12 12:58:07,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190460, best_loss=0.190398
- 2022-02-12 12:58:07,382 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33902406692505s
- 2022-02-12 12:58:07,382 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:58:07,382 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:58:07,382 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 617
- 2022-02-12 12:58:07,492 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174358 Loss2 0.331000
- 2022-02-12 12:58:22,352 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204216, best_loss=0.202995
- 2022-02-12 12:58:23,436 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190355, best_loss=0.190398
- 2022-02-12 12:58:23,464 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 12:58:23,465 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.082975387573242s
- 2022-02-12 12:58:23,465 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:58:23,465 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:58:23,465 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 618
- 2022-02-12 12:58:23,589 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179791 Loss2 0.332057
- 2022-02-12 12:58:38,281 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204975, best_loss=0.202995
- 2022-02-12 12:58:39,340 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190430, best_loss=0.190355
- 2022-02-12 12:58:39,340 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.87549877166748s
- 2022-02-12 12:58:39,340 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:58:39,340 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:58:39,340 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 619
- 2022-02-12 12:58:39,450 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180217 Loss2 0.327313
- 2022-02-12 12:58:54,677 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203018, best_loss=0.202995
- 2022-02-12 12:58:55,741 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190372, best_loss=0.190355
- 2022-02-12 12:58:55,742 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.401501893997192s
- 2022-02-12 12:58:55,742 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:58:55,742 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:58:55,742 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 620
- 2022-02-12 12:58:55,875 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165471 Loss2 0.310017
- 2022-02-12 12:59:10,882 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203994, best_loss=0.202995
- 2022-02-12 12:59:11,972 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190425, best_loss=0.190355
- 2022-02-12 12:59:11,973 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23050022125244s
- 2022-02-12 12:59:11,973 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:59:11,973 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:59:11,973 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 621
- 2022-02-12 12:59:12,082 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187879 Loss2 0.365930
- 2022-02-12 12:59:27,089 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205799, best_loss=0.202995
- 2022-02-12 12:59:28,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190521, best_loss=0.190355
- 2022-02-12 12:59:28,159 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.185999870300293s
- 2022-02-12 12:59:28,159 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:59:28,159 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:59:28,160 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 622
- 2022-02-12 12:59:28,279 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.215353 Loss2 0.355818
- 2022-02-12 12:59:43,308 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203419, best_loss=0.202995
- 2022-02-12 12:59:44,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190606, best_loss=0.190355
- 2022-02-12 12:59:44,390 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.23049783706665s
- 2022-02-12 12:59:44,390 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 12:59:44,390 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 12:59:44,391 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 623
- 2022-02-12 12:59:44,505 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191898 Loss2 0.354124
- 2022-02-12 12:59:59,485 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204072, best_loss=0.202995
- 2022-02-12 13:00:00,523 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190559, best_loss=0.190355
- 2022-02-12 13:00:00,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13250160217285s
- 2022-02-12 13:00:00,524 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:00:00,524 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:00:00,524 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 624
- 2022-02-12 13:00:00,669 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161252 Loss2 0.334148
- 2022-02-12 13:00:15,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205160, best_loss=0.202995
- 2022-02-12 13:00:16,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190584, best_loss=0.190355
- 2022-02-12 13:00:16,741 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.21699857711792s
- 2022-02-12 13:00:16,741 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:00:16,741 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:00:16,741 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 625
- 2022-02-12 13:00:16,855 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169731 Loss2 0.379579
- 2022-02-12 13:00:32,095 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203717, best_loss=0.202995
- 2022-02-12 13:00:33,186 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190550, best_loss=0.190355
- 2022-02-12 13:00:33,186 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44499969482422s
- 2022-02-12 13:00:33,186 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:00:33,186 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:00:33,186 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 626
- 2022-02-12 13:00:33,312 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.200254 Loss2 0.332645
- 2022-02-12 13:00:48,107 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205490, best_loss=0.202995
- 2022-02-12 13:00:49,180 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190340, best_loss=0.190355
- 2022-02-12 13:00:49,209 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:00:49,209 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.023001194000244s
- 2022-02-12 13:00:49,209 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:00:49,209 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:00:49,209 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 627
- 2022-02-12 13:00:49,334 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181536 Loss2 0.340500
- 2022-02-12 13:01:04,286 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203711, best_loss=0.202995
- 2022-02-12 13:01:05,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190394, best_loss=0.190340
- 2022-02-12 13:01:05,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.171497106552124s
- 2022-02-12 13:01:05,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:01:05,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:01:05,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 628
- 2022-02-12 13:01:05,493 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177112 Loss2 0.345169
- 2022-02-12 13:01:20,496 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203673, best_loss=0.202995
- 2022-02-12 13:01:21,571 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190438, best_loss=0.190340
- 2022-02-12 13:01:21,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19000267982483s
- 2022-02-12 13:01:21,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:01:21,571 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:01:21,572 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 629
- 2022-02-12 13:01:21,701 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168327 Loss2 0.313437
- 2022-02-12 13:01:36,837 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203692, best_loss=0.202995
- 2022-02-12 13:01:37,915 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190135, best_loss=0.190340
- 2022-02-12 13:01:37,943 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:01:37,943 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.371498346328735s
- 2022-02-12 13:01:37,943 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:01:37,944 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:01:37,944 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 630
- 2022-02-12 13:01:38,066 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183413 Loss2 0.386296
- 2022-02-12 13:01:53,144 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202833, best_loss=0.202995
- 2022-02-12 13:01:53,171 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:01:54,274 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190153, best_loss=0.190135
- 2022-02-12 13:01:54,275 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.331000089645386s
- 2022-02-12 13:01:54,275 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:01:54,275 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:01:54,275 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 631
- 2022-02-12 13:01:54,386 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179323 Loss2 0.341567
- 2022-02-12 13:02:09,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203820, best_loss=0.202833
- 2022-02-12 13:02:10,437 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190085, best_loss=0.190135
- 2022-02-12 13:02:10,463 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:02:10,463 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.188499450683594s
- 2022-02-12 13:02:10,464 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:02:10,464 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:02:10,464 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 632
- 2022-02-12 13:02:10,584 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150782 Loss2 0.340136
- 2022-02-12 13:02:25,624 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202676, best_loss=0.202833
- 2022-02-12 13:02:25,654 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:02:26,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190109, best_loss=0.190085
- 2022-02-12 13:02:26,741 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.277002096176147s
- 2022-02-12 13:02:26,741 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:02:26,741 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:02:26,741 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 633
- 2022-02-12 13:02:26,852 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179521 Loss2 0.338210
- 2022-02-12 13:02:41,833 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203402, best_loss=0.202676
- 2022-02-12 13:02:42,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190059, best_loss=0.190085
- 2022-02-12 13:02:42,915 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:02:42,915 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.173999786376953s
- 2022-02-12 13:02:42,916 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:02:42,916 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:02:42,916 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 634
- 2022-02-12 13:02:43,043 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179362 Loss2 0.358118
- 2022-02-12 13:02:58,158 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202791, best_loss=0.202676
- 2022-02-12 13:02:59,194 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190088, best_loss=0.190059
- 2022-02-12 13:02:59,195 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.278998613357544s
- 2022-02-12 13:02:59,195 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:02:59,195 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:02:59,195 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 635
- 2022-02-12 13:02:59,297 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194514 Loss2 0.376572
- 2022-02-12 13:03:14,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203135, best_loss=0.202676
- 2022-02-12 13:03:15,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190292, best_loss=0.190059
- 2022-02-12 13:03:15,417 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.222500324249268s
- 2022-02-12 13:03:15,417 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:03:15,417 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:03:15,417 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 636
- 2022-02-12 13:03:15,524 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165569 Loss2 0.329708
- 2022-02-12 13:03:30,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203216, best_loss=0.202676
- 2022-02-12 13:03:31,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190300, best_loss=0.190059
- 2022-02-12 13:03:31,615 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.197999000549316s
- 2022-02-12 13:03:31,616 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:03:31,616 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:03:31,616 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 637
- 2022-02-12 13:03:31,733 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184001 Loss2 0.343098
- 2022-02-12 13:03:46,806 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202016, best_loss=0.202676
- 2022-02-12 13:03:46,837 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:03:47,909 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190316, best_loss=0.190059
- 2022-02-12 13:03:47,910 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.29449987411499s
- 2022-02-12 13:03:47,910 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:03:47,910 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:03:47,910 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 638
- 2022-02-12 13:03:48,022 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186646 Loss2 0.381195
- 2022-02-12 13:04:03,088 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203027, best_loss=0.202016
- 2022-02-12 13:04:04,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190291, best_loss=0.190059
- 2022-02-12 13:04:04,157 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.246999502182007s
- 2022-02-12 13:04:04,157 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:04:04,157 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:04:04,157 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 639
- 2022-02-12 13:04:04,272 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152254 Loss2 0.305514
- 2022-02-12 13:04:19,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201695, best_loss=0.202016
- 2022-02-12 13:04:19,467 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:04:20,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189997, best_loss=0.190059
- 2022-02-12 13:04:20,571 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:04:20,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.414001941680908s
- 2022-02-12 13:04:20,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:04:20,572 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:04:20,572 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 640
- 2022-02-12 13:04:20,681 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.204655 Loss2 0.377454
- 2022-02-12 13:04:35,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202471, best_loss=0.201695
- 2022-02-12 13:04:36,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189848, best_loss=0.189997
- 2022-02-12 13:04:36,990 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:04:36,991 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41900110244751s
- 2022-02-12 13:04:36,991 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:04:36,991 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:04:36,991 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 641
- 2022-02-12 13:04:37,098 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170444 Loss2 0.347950
- 2022-02-12 13:04:52,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204945, best_loss=0.201695
- 2022-02-12 13:04:53,230 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189735, best_loss=0.189848
- 2022-02-12 13:04:53,257 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:04:53,258 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.266499996185303s
- 2022-02-12 13:04:53,258 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:04:53,258 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:04:53,258 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 642
- 2022-02-12 13:04:53,373 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181742 Loss2 0.365768
- 2022-02-12 13:05:08,322 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202876, best_loss=0.201695
- 2022-02-12 13:05:09,400 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189891, best_loss=0.189735
- 2022-02-12 13:05:09,401 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.142500162124634s
- 2022-02-12 13:05:09,401 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:05:09,401 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:05:09,401 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 643
- 2022-02-12 13:05:09,512 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184680 Loss2 0.339702
- 2022-02-12 13:05:24,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203542, best_loss=0.201695
- 2022-02-12 13:05:25,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189793, best_loss=0.189735
- 2022-02-12 13:05:25,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.280500650405884s
- 2022-02-12 13:05:25,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:05:25,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:05:25,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 644
- 2022-02-12 13:05:25,780 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198985 Loss2 0.372511
- 2022-02-12 13:05:40,861 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203142, best_loss=0.201695
- 2022-02-12 13:05:41,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189742, best_loss=0.189735
- 2022-02-12 13:05:41,933 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.251499891281128s
- 2022-02-12 13:05:41,933 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:05:41,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:05:41,933 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 645
- 2022-02-12 13:05:42,052 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190361 Loss2 0.341484
- 2022-02-12 13:05:57,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202004, best_loss=0.201695
- 2022-02-12 13:05:58,109 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189703, best_loss=0.189735
- 2022-02-12 13:05:58,136 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:05:58,136 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.20250177383423s
- 2022-02-12 13:05:58,136 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:05:58,137 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:05:58,137 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 646
- 2022-02-12 13:05:58,243 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173783 Loss2 0.325019
- 2022-02-12 13:06:13,189 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202816, best_loss=0.201695
- 2022-02-12 13:06:14,203 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189704, best_loss=0.189703
- 2022-02-12 13:06:14,204 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.066974639892578s
- 2022-02-12 13:06:14,204 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:06:14,204 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:06:14,204 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 647
- 2022-02-12 13:06:14,308 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.195017 Loss2 0.413935
- 2022-02-12 13:06:29,119 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201902, best_loss=0.201695
- 2022-02-12 13:06:30,201 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189751, best_loss=0.189703
- 2022-02-12 13:06:30,202 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.9979989528656s
- 2022-02-12 13:06:30,202 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:06:30,202 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:06:30,202 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 648
- 2022-02-12 13:06:30,317 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171592 Loss2 0.329558
- 2022-02-12 13:06:45,253 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201939, best_loss=0.201695
- 2022-02-12 13:06:46,310 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189666, best_loss=0.189703
- 2022-02-12 13:06:46,337 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:06:46,337 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.135499954223633s
- 2022-02-12 13:06:46,337 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:06:46,337 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:06:46,338 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 649
- 2022-02-12 13:06:46,444 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145104 Loss2 0.275978
- 2022-02-12 13:07:01,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202104, best_loss=0.201695
- 2022-02-12 13:07:02,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189670, best_loss=0.189666
- 2022-02-12 13:07:02,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34399938583374s
- 2022-02-12 13:07:02,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:07:02,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:07:02,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 650
- 2022-02-12 13:07:02,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201030 Loss2 0.343191
- 2022-02-12 13:07:17,623 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202911, best_loss=0.201695
- 2022-02-12 13:07:18,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189748, best_loss=0.189666
- 2022-02-12 13:07:18,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.000001192092896s
- 2022-02-12 13:07:18,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:07:18,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:07:18,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 651
- 2022-02-12 13:07:18,798 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178594 Loss2 0.357867
- 2022-02-12 13:07:33,656 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204574, best_loss=0.201695
- 2022-02-12 13:07:34,754 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189572, best_loss=0.189666
- 2022-02-12 13:07:34,781 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:07:34,782 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.100000143051147s
- 2022-02-12 13:07:34,782 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:07:34,782 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:07:34,782 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 652
- 2022-02-12 13:07:34,892 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190087 Loss2 0.361057
- 2022-02-12 13:07:50,002 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202858, best_loss=0.201695
- 2022-02-12 13:07:51,075 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189483, best_loss=0.189572
- 2022-02-12 13:07:51,102 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:07:51,102 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.319999933242798s
- 2022-02-12 13:07:51,102 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:07:51,102 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:07:51,103 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 653
- 2022-02-12 13:07:51,222 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196516 Loss2 0.401201
- 2022-02-12 13:08:06,230 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202484, best_loss=0.201695
- 2022-02-12 13:08:07,295 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189475, best_loss=0.189483
- 2022-02-12 13:08:07,323 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:08:07,323 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.220499753952026s
- 2022-02-12 13:08:07,323 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:08:07,323 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:08:07,324 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 654
- 2022-02-12 13:08:07,442 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182652 Loss2 0.345043
- 2022-02-12 13:08:22,406 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201682, best_loss=0.201695
- 2022-02-12 13:08:22,436 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:08:23,503 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189397, best_loss=0.189475
- 2022-02-12 13:08:23,532 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:08:23,532 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.208499908447266s
- 2022-02-12 13:08:23,532 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:08:23,532 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:08:23,533 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 655
- 2022-02-12 13:08:23,645 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187093 Loss2 0.362421
- 2022-02-12 13:08:38,645 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202317, best_loss=0.201682
- 2022-02-12 13:08:39,711 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189594, best_loss=0.189397
- 2022-02-12 13:08:39,712 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.1790030002594s
- 2022-02-12 13:08:39,712 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:08:39,712 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:08:39,712 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 656
- 2022-02-12 13:08:39,825 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172154 Loss2 0.319011
- 2022-02-12 13:08:54,866 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202299, best_loss=0.201682
- 2022-02-12 13:08:55,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189323, best_loss=0.189397
- 2022-02-12 13:08:55,950 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:08:55,951 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.238998413085938s
- 2022-02-12 13:08:55,951 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:08:55,951 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:08:55,951 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 657
- 2022-02-12 13:08:56,065 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188077 Loss2 0.333424
- 2022-02-12 13:09:11,214 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201837, best_loss=0.201682
- 2022-02-12 13:09:12,280 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189285, best_loss=0.189323
- 2022-02-12 13:09:12,310 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:09:12,311 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3600013256073s
- 2022-02-12 13:09:12,311 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:09:12,311 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:09:12,311 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 658
- 2022-02-12 13:09:12,424 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167127 Loss2 0.327544
- 2022-02-12 13:09:27,468 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201536, best_loss=0.201682
- 2022-02-12 13:09:27,495 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:09:28,558 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189216, best_loss=0.189285
- 2022-02-12 13:09:28,587 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:09:28,588 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27649998664856s
- 2022-02-12 13:09:28,588 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:09:28,588 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:09:28,588 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 659
- 2022-02-12 13:09:28,695 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189300 Loss2 0.385939
- 2022-02-12 13:09:43,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201212, best_loss=0.201536
- 2022-02-12 13:09:43,704 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:09:44,787 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189145, best_loss=0.189216
- 2022-02-12 13:09:44,814 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:09:44,815 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.226500272750854s
- 2022-02-12 13:09:44,815 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:09:44,815 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:09:44,815 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 660
- 2022-02-12 13:09:44,927 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164935 Loss2 0.350166
- 2022-02-12 13:09:59,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201940, best_loss=0.201212
- 2022-02-12 13:10:00,927 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189349, best_loss=0.189145
- 2022-02-12 13:10:00,927 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.11250066757202s
- 2022-02-12 13:10:00,928 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:10:00,928 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:10:00,928 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 661
- 2022-02-12 13:10:01,033 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175423 Loss2 0.337828
- 2022-02-12 13:10:15,953 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201744, best_loss=0.201212
- 2022-02-12 13:10:17,038 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189324, best_loss=0.189145
- 2022-02-12 13:10:17,038 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.110498428344727s
- 2022-02-12 13:10:17,038 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:10:17,039 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:10:17,039 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 662
- 2022-02-12 13:10:17,156 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179843 Loss2 0.358163
- 2022-02-12 13:10:32,123 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202423, best_loss=0.201212
- 2022-02-12 13:10:33,194 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189310, best_loss=0.189145
- 2022-02-12 13:10:33,195 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.156501054763794s
- 2022-02-12 13:10:33,195 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:10:33,195 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:10:33,195 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 663
- 2022-02-12 13:10:33,322 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154345 Loss2 0.304716
- 2022-02-12 13:10:48,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202257, best_loss=0.201212
- 2022-02-12 13:10:49,455 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189292, best_loss=0.189145
- 2022-02-12 13:10:49,455 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.259998321533203s
- 2022-02-12 13:10:49,455 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:10:49,455 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:10:49,455 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 664
- 2022-02-12 13:10:49,565 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184898 Loss2 0.328393
- 2022-02-12 13:11:04,659 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201652, best_loss=0.201212
- 2022-02-12 13:11:05,714 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189113, best_loss=0.189145
- 2022-02-12 13:11:05,742 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:11:05,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.287503480911255s
- 2022-02-12 13:11:05,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:11:05,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:11:05,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 665
- 2022-02-12 13:11:05,875 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179918 Loss2 0.342029
- 2022-02-12 13:11:20,779 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201234, best_loss=0.201212
- 2022-02-12 13:11:21,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189109, best_loss=0.189113
- 2022-02-12 13:11:21,882 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:11:21,882 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.13902235031128s
- 2022-02-12 13:11:21,882 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:11:21,882 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:11:21,882 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 666
- 2022-02-12 13:11:21,998 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178517 Loss2 0.358034
- 2022-02-12 13:11:37,494 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200909, best_loss=0.201212
- 2022-02-12 13:11:37,522 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:11:38,579 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189231, best_loss=0.189109
- 2022-02-12 13:11:38,580 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.697973489761353s
- 2022-02-12 13:11:38,580 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:11:38,580 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:11:38,580 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 667
- 2022-02-12 13:11:38,688 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174331 Loss2 0.335575
- 2022-02-12 13:11:53,727 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201823, best_loss=0.200909
- 2022-02-12 13:11:54,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189223, best_loss=0.189109
- 2022-02-12 13:11:54,785 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.205002069473267s
- 2022-02-12 13:11:54,785 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:11:54,785 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:11:54,785 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 668
- 2022-02-12 13:11:54,898 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164288 Loss2 0.318764
- 2022-02-12 13:12:09,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201423, best_loss=0.200909
- 2022-02-12 13:12:10,879 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189105, best_loss=0.189109
- 2022-02-12 13:12:10,906 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:12:10,907 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.121998071670532s
- 2022-02-12 13:12:10,907 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:12:10,907 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:12:10,907 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 669
- 2022-02-12 13:12:11,012 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158356 Loss2 0.328876
- 2022-02-12 13:12:25,908 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201945, best_loss=0.200909
- 2022-02-12 13:12:26,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189117, best_loss=0.189105
- 2022-02-12 13:12:26,971 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.063501358032227s
- 2022-02-12 13:12:26,971 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:12:26,971 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:12:26,971 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 670
- 2022-02-12 13:12:27,079 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176066 Loss2 0.370821
- 2022-02-12 13:12:42,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201201, best_loss=0.200909
- 2022-02-12 13:12:43,292 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188963, best_loss=0.189105
- 2022-02-12 13:12:43,318 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:12:43,319 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34800100326538s
- 2022-02-12 13:12:43,319 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:12:43,319 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:12:43,319 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 671
- 2022-02-12 13:12:43,446 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181715 Loss2 0.366855
- 2022-02-12 13:12:58,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200582, best_loss=0.200909
- 2022-02-12 13:12:58,361 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:12:59,423 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188706, best_loss=0.188963
- 2022-02-12 13:12:59,452 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:12:59,452 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.132999897003174s
- 2022-02-12 13:12:59,452 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:12:59,452 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:12:59,453 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 672
- 2022-02-12 13:12:59,575 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193198 Loss2 0.344789
- 2022-02-12 13:13:14,585 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200613, best_loss=0.200582
- 2022-02-12 13:13:15,647 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188695, best_loss=0.188706
- 2022-02-12 13:13:15,675 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:13:15,675 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.222500324249268s
- 2022-02-12 13:13:15,676 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:13:15,676 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:13:15,676 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 673
- 2022-02-12 13:13:15,779 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174860 Loss2 0.335329
- 2022-02-12 13:13:30,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201854, best_loss=0.200582
- 2022-02-12 13:13:31,821 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188698, best_loss=0.188695
- 2022-02-12 13:13:31,822 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.146000385284424s
- 2022-02-12 13:13:31,822 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:13:31,822 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:13:31,822 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 674
- 2022-02-12 13:13:31,941 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186364 Loss2 0.341110
- 2022-02-12 13:13:46,800 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201961, best_loss=0.200582
- 2022-02-12 13:13:47,850 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188602, best_loss=0.188695
- 2022-02-12 13:13:47,879 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:13:47,880 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05800175666809s
- 2022-02-12 13:13:47,880 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:13:47,880 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:13:47,880 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 675
- 2022-02-12 13:13:48,013 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153146 Loss2 0.316780
- 2022-02-12 13:14:03,205 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200396, best_loss=0.200582
- 2022-02-12 13:14:03,234 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:14:04,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188486, best_loss=0.188602
- 2022-02-12 13:14:04,344 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:14:04,344 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46449875831604s
- 2022-02-12 13:14:04,344 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:14:04,344 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:14:04,344 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 676
- 2022-02-12 13:14:04,455 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165145 Loss2 0.319049
- 2022-02-12 13:14:19,401 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200883, best_loss=0.200396
- 2022-02-12 13:14:20,472 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188375, best_loss=0.188486
- 2022-02-12 13:14:20,498 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:14:20,499 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.155000925064087s
- 2022-02-12 13:14:20,499 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:14:20,499 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:14:20,499 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 677
- 2022-02-12 13:14:20,618 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.209542 Loss2 0.347690
- 2022-02-12 13:14:35,588 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201431, best_loss=0.200396
- 2022-02-12 13:14:36,630 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188260, best_loss=0.188375
- 2022-02-12 13:14:36,659 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:14:36,660 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16049861907959s
- 2022-02-12 13:14:36,660 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:14:36,660 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:14:36,660 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 678
- 2022-02-12 13:14:36,779 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194508 Loss2 0.363608
- 2022-02-12 13:14:51,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201532, best_loss=0.200396
- 2022-02-12 13:14:52,660 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188241, best_loss=0.188260
- 2022-02-12 13:14:52,686 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:14:52,687 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.027000427246094s
- 2022-02-12 13:14:52,687 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:14:52,687 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:14:52,687 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 679
- 2022-02-12 13:14:52,795 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176134 Loss2 0.363729
- 2022-02-12 13:15:07,775 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201779, best_loss=0.200396
- 2022-02-12 13:15:08,853 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188242, best_loss=0.188241
- 2022-02-12 13:15:08,853 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.166499137878418s
- 2022-02-12 13:15:08,853 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:15:08,853 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:15:08,854 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 680
- 2022-02-12 13:15:08,968 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160046 Loss2 0.331464
- 2022-02-12 13:15:23,948 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201053, best_loss=0.200396
- 2022-02-12 13:15:25,011 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188183, best_loss=0.188241
- 2022-02-12 13:15:25,037 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:15:25,037 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.183502435684204s
- 2022-02-12 13:15:25,038 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:15:25,038 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:15:25,038 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 681
- 2022-02-12 13:15:25,154 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152849 Loss2 0.341625
- 2022-02-12 13:15:40,318 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200555, best_loss=0.200396
- 2022-02-12 13:15:41,402 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188115, best_loss=0.188183
- 2022-02-12 13:15:41,429 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:15:41,429 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.391501665115356s
- 2022-02-12 13:15:41,429 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:15:41,429 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:15:41,430 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 682
- 2022-02-12 13:15:41,533 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173559 Loss2 0.332496
- 2022-02-12 13:15:56,574 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201224, best_loss=0.200396
- 2022-02-12 13:15:57,634 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188073, best_loss=0.188115
- 2022-02-12 13:15:57,661 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:15:57,662 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.231998443603516s
- 2022-02-12 13:15:57,662 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:15:57,662 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:15:57,662 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 683
- 2022-02-12 13:15:57,767 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189815 Loss2 0.316091
- 2022-02-12 13:16:12,721 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201110, best_loss=0.200396
- 2022-02-12 13:16:13,793 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187961, best_loss=0.188073
- 2022-02-12 13:16:13,818 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:16:13,819 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.157501697540283s
- 2022-02-12 13:16:13,819 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:16:13,819 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:16:13,819 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 684
- 2022-02-12 13:16:13,925 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153596 Loss2 0.324252
- 2022-02-12 13:16:28,875 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203116, best_loss=0.200396
- 2022-02-12 13:16:29,937 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187986, best_loss=0.187961
- 2022-02-12 13:16:29,938 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.118499994277954s
- 2022-02-12 13:16:29,938 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:16:29,938 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:16:29,938 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 685
- 2022-02-12 13:16:30,042 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178495 Loss2 0.354283
- 2022-02-12 13:16:44,925 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200815, best_loss=0.200396
- 2022-02-12 13:16:46,000 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187880, best_loss=0.187961
- 2022-02-12 13:16:46,027 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:16:46,028 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.08999991416931s
- 2022-02-12 13:16:46,028 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:16:46,028 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:16:46,028 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 686
- 2022-02-12 13:16:46,143 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178122 Loss2 0.342623
- 2022-02-12 13:17:01,128 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200932, best_loss=0.200396
- 2022-02-12 13:17:02,201 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187851, best_loss=0.187880
- 2022-02-12 13:17:02,231 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:17:02,231 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.203500032424927s
- 2022-02-12 13:17:02,232 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:17:02,232 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:17:02,232 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 687
- 2022-02-12 13:17:02,367 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169448 Loss2 0.336789
- 2022-02-12 13:17:17,646 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200493, best_loss=0.200396
- 2022-02-12 13:17:18,719 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187783, best_loss=0.187851
- 2022-02-12 13:17:18,745 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:17:18,746 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.513999938964844s
- 2022-02-12 13:17:18,746 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:17:18,746 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:17:18,746 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 688
- 2022-02-12 13:17:18,853 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178037 Loss2 0.367017
- 2022-02-12 13:17:33,818 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201208, best_loss=0.200396
- 2022-02-12 13:17:34,872 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187815, best_loss=0.187783
- 2022-02-12 13:17:34,873 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.126500606536865s
- 2022-02-12 13:17:34,873 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:17:34,873 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:17:34,873 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 689
- 2022-02-12 13:17:34,993 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183309 Loss2 0.312705
- 2022-02-12 13:17:49,972 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201400, best_loss=0.200396
- 2022-02-12 13:17:51,040 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187797, best_loss=0.187783
- 2022-02-12 13:17:51,040 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.167526245117188s
- 2022-02-12 13:17:51,040 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:17:51,040 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:17:51,040 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 690
- 2022-02-12 13:17:51,160 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159026 Loss2 0.318015
- 2022-02-12 13:18:06,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200448, best_loss=0.200396
- 2022-02-12 13:18:07,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187778, best_loss=0.187783
- 2022-02-12 13:18:07,355 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:18:07,355 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.314472436904907s
- 2022-02-12 13:18:07,355 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:18:07,355 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:18:07,355 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 691
- 2022-02-12 13:18:07,465 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172098 Loss2 0.384016
- 2022-02-12 13:18:22,547 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200166, best_loss=0.200396
- 2022-02-12 13:18:22,575 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:18:23,644 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187895, best_loss=0.187778
- 2022-02-12 13:18:23,645 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.289501905441284s
- 2022-02-12 13:18:23,645 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:18:23,645 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:18:23,645 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 692
- 2022-02-12 13:18:23,754 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174561 Loss2 0.364217
- 2022-02-12 13:18:38,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200161, best_loss=0.200166
- 2022-02-12 13:18:38,897 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:18:39,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187898, best_loss=0.187778
- 2022-02-12 13:18:39,964 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.319498300552368s
- 2022-02-12 13:18:39,964 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:18:39,964 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:18:39,964 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 693
- 2022-02-12 13:18:40,095 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172266 Loss2 0.332040
- 2022-02-12 13:18:55,164 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200414, best_loss=0.200161
- 2022-02-12 13:18:56,231 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187842, best_loss=0.187778
- 2022-02-12 13:18:56,232 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26799964904785s
- 2022-02-12 13:18:56,232 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:18:56,232 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:18:56,232 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 694
- 2022-02-12 13:18:56,338 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159212 Loss2 0.347554
- 2022-02-12 13:19:11,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201259, best_loss=0.200161
- 2022-02-12 13:19:12,402 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187873, best_loss=0.187778
- 2022-02-12 13:19:12,403 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.17052674293518s
- 2022-02-12 13:19:12,403 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:19:12,403 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:19:12,403 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 695
- 2022-02-12 13:19:12,512 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171977 Loss2 0.354035
- 2022-02-12 13:19:27,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200374, best_loss=0.200161
- 2022-02-12 13:19:28,583 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187789, best_loss=0.187778
- 2022-02-12 13:19:28,583 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.179972410202026s
- 2022-02-12 13:19:28,583 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:19:28,583 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:19:28,583 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 696
- 2022-02-12 13:19:28,703 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164907 Loss2 0.331122
- 2022-02-12 13:19:43,806 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200750, best_loss=0.200161
- 2022-02-12 13:19:44,868 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187788, best_loss=0.187778
- 2022-02-12 13:19:44,868 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2844979763031s
- 2022-02-12 13:19:44,868 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:19:44,868 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:19:44,868 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 697
- 2022-02-12 13:19:44,976 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159212 Loss2 0.312017
- 2022-02-12 13:19:59,988 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200298, best_loss=0.200161
- 2022-02-12 13:20:01,051 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187850, best_loss=0.187778
- 2022-02-12 13:20:01,051 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.182499885559082s
- 2022-02-12 13:20:01,051 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:20:01,051 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:20:01,051 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 698
- 2022-02-12 13:20:01,187 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180786 Loss2 0.354675
- 2022-02-12 13:20:16,106 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200417, best_loss=0.200161
- 2022-02-12 13:20:17,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187834, best_loss=0.187778
- 2022-02-12 13:20:17,174 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12300205230713s
- 2022-02-12 13:20:17,174 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:20:17,174 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:20:17,174 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 699
- 2022-02-12 13:20:17,281 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162905 Loss2 0.330602
- 2022-02-12 13:20:32,129 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200673, best_loss=0.200161
- 2022-02-12 13:20:33,195 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187806, best_loss=0.187778
- 2022-02-12 13:20:33,196 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.020999908447266s
- 2022-02-12 13:20:33,196 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:20:33,196 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:20:33,196 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 700
- 2022-02-12 13:20:33,302 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196178 Loss2 0.375949
- 2022-02-12 13:20:48,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200091, best_loss=0.200161
- 2022-02-12 13:20:48,354 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:20:49,420 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187717, best_loss=0.187778
- 2022-02-12 13:20:49,447 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:20:49,448 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.251999616622925s
- 2022-02-12 13:20:49,448 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:20:49,448 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:20:49,448 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 701
- 2022-02-12 13:20:49,561 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176360 Loss2 0.354484
- 2022-02-12 13:21:04,476 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201683, best_loss=0.200091
- 2022-02-12 13:21:05,549 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187748, best_loss=0.187717
- 2022-02-12 13:21:05,550 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.101998567581177s
- 2022-02-12 13:21:05,550 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:21:05,550 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:21:05,550 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 702
- 2022-02-12 13:21:05,659 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170546 Loss2 0.328572
- 2022-02-12 13:21:20,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199528, best_loss=0.200091
- 2022-02-12 13:21:20,513 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:21:21,597 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187516, best_loss=0.187717
- 2022-02-12 13:21:21,625 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:21:21,625 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.075501918792725s
- 2022-02-12 13:21:21,625 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:21:21,625 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:21:21,625 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 703
- 2022-02-12 13:21:21,730 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176985 Loss2 0.325690
- 2022-02-12 13:21:36,723 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200102, best_loss=0.199528
- 2022-02-12 13:21:37,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187523, best_loss=0.187516
- 2022-02-12 13:21:37,812 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18650245666504s
- 2022-02-12 13:21:37,812 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:21:37,812 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:21:37,812 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 704
- 2022-02-12 13:21:37,928 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159999 Loss2 0.326003
- 2022-02-12 13:21:53,147 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200128, best_loss=0.199528
- 2022-02-12 13:21:54,197 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187526, best_loss=0.187516
- 2022-02-12 13:21:54,197 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.385497331619263s
- 2022-02-12 13:21:54,197 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:21:54,197 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:21:54,197 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 705
- 2022-02-12 13:21:54,309 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186846 Loss2 0.363174
- 2022-02-12 13:22:09,357 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200181, best_loss=0.199528
- 2022-02-12 13:22:10,424 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187512, best_loss=0.187516
- 2022-02-12 13:22:10,450 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:22:10,451 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.253499746322632s
- 2022-02-12 13:22:10,451 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:22:10,451 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:22:10,451 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 706
- 2022-02-12 13:22:10,560 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168418 Loss2 0.375662
- 2022-02-12 13:22:25,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199762, best_loss=0.199528
- 2022-02-12 13:22:26,601 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187536, best_loss=0.187512
- 2022-02-12 13:22:26,601 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.150503158569336s
- 2022-02-12 13:22:26,601 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:22:26,601 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:22:26,601 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 707
- 2022-02-12 13:22:26,717 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186229 Loss2 0.335664
- 2022-02-12 13:22:41,790 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200196, best_loss=0.199528
- 2022-02-12 13:22:42,851 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187563, best_loss=0.187512
- 2022-02-12 13:22:42,852 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.25049638748169s
- 2022-02-12 13:22:42,852 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:22:42,852 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:22:42,852 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 708
- 2022-02-12 13:22:42,962 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185050 Loss2 0.365406
- 2022-02-12 13:22:57,919 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199849, best_loss=0.199528
- 2022-02-12 13:22:58,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187593, best_loss=0.187512
- 2022-02-12 13:22:58,996 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.14349937438965s
- 2022-02-12 13:22:58,996 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:22:58,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:22:58,996 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 709
- 2022-02-12 13:22:59,116 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174940 Loss2 0.329635
- 2022-02-12 13:23:13,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201441, best_loss=0.199528
- 2022-02-12 13:23:15,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187589, best_loss=0.187512
- 2022-02-12 13:23:15,010 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.013999938964844s
- 2022-02-12 13:23:15,010 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:23:15,010 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:23:15,011 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 710
- 2022-02-12 13:23:15,123 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176104 Loss2 0.375871
- 2022-02-12 13:23:30,082 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199804, best_loss=0.199528
- 2022-02-12 13:23:31,100 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187559, best_loss=0.187512
- 2022-02-12 13:23:31,101 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.090001344680786s
- 2022-02-12 13:23:31,101 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:23:31,101 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:23:31,101 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 711
- 2022-02-12 13:23:31,219 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161362 Loss2 0.353844
- 2022-02-12 13:23:46,095 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199417, best_loss=0.199528
- 2022-02-12 13:23:46,124 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:23:47,193 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187494, best_loss=0.187512
- 2022-02-12 13:23:47,220 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:23:47,221 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12000036239624s
- 2022-02-12 13:23:47,221 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:23:47,221 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:23:47,221 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 712
- 2022-02-12 13:23:47,335 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178577 Loss2 0.315623
- 2022-02-12 13:24:02,489 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200831, best_loss=0.199417
- 2022-02-12 13:24:03,560 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187520, best_loss=0.187494
- 2022-02-12 13:24:03,561 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.339499473571777s
- 2022-02-12 13:24:03,561 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:24:03,561 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:24:03,561 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 713
- 2022-02-12 13:24:03,680 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183982 Loss2 0.364218
- 2022-02-12 13:24:18,555 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200072, best_loss=0.199417
- 2022-02-12 13:24:19,628 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187443, best_loss=0.187494
- 2022-02-12 13:24:19,659 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:24:19,660 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.098998308181763s
- 2022-02-12 13:24:19,660 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:24:19,660 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:24:19,660 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 714
- 2022-02-12 13:24:19,775 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185980 Loss2 0.380252
- 2022-02-12 13:24:35,028 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200157, best_loss=0.199417
- 2022-02-12 13:24:36,094 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187393, best_loss=0.187443
- 2022-02-12 13:24:36,121 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:24:36,121 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4610013961792s
- 2022-02-12 13:24:36,121 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:24:36,121 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:24:36,121 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 715
- 2022-02-12 13:24:36,232 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171589 Loss2 0.358732
- 2022-02-12 13:24:51,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199197, best_loss=0.199417
- 2022-02-12 13:24:51,294 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:24:52,376 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187304, best_loss=0.187393
- 2022-02-12 13:24:52,404 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:24:52,404 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.28300189971924s
- 2022-02-12 13:24:52,404 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:24:52,404 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:24:52,404 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 716
- 2022-02-12 13:24:52,512 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161532 Loss2 0.356634
- 2022-02-12 13:25:07,598 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200456, best_loss=0.199197
- 2022-02-12 13:25:08,664 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187369, best_loss=0.187304
- 2022-02-12 13:25:08,665 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.260000467300415s
- 2022-02-12 13:25:08,665 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:25:08,665 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:25:08,665 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 717
- 2022-02-12 13:25:08,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177325 Loss2 0.332299
- 2022-02-12 13:25:23,869 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200878, best_loss=0.199197
- 2022-02-12 13:25:24,929 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187373, best_loss=0.187304
- 2022-02-12 13:25:24,930 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.26450276374817s
- 2022-02-12 13:25:24,930 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:25:24,930 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:25:24,930 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 718
- 2022-02-12 13:25:25,044 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159678 Loss2 0.341430
- 2022-02-12 13:25:40,271 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199475, best_loss=0.199197
- 2022-02-12 13:25:41,336 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187525, best_loss=0.187304
- 2022-02-12 13:25:41,337 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.407498359680176s
- 2022-02-12 13:25:41,337 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:25:41,337 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:25:41,337 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 719
- 2022-02-12 13:25:41,450 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185999 Loss2 0.364183
- 2022-02-12 13:25:56,581 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202202, best_loss=0.199197
- 2022-02-12 13:25:57,650 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187540, best_loss=0.187304
- 2022-02-12 13:25:57,651 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3134982585907s
- 2022-02-12 13:25:57,651 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:25:57,651 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:25:57,651 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 720
- 2022-02-12 13:25:57,766 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167894 Loss2 0.339210
- 2022-02-12 13:26:12,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199784, best_loss=0.199197
- 2022-02-12 13:26:13,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187455, best_loss=0.187304
- 2022-02-12 13:26:13,934 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.283002853393555s
- 2022-02-12 13:26:13,934 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:26:13,934 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:26:13,934 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 721
- 2022-02-12 13:26:14,047 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165002 Loss2 0.348958
- 2022-02-12 13:26:29,144 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199895, best_loss=0.199197
- 2022-02-12 13:26:30,173 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187478, best_loss=0.187304
- 2022-02-12 13:26:30,174 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.239999294281006s
- 2022-02-12 13:26:30,174 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:26:30,174 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:26:30,174 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 722
- 2022-02-12 13:26:30,284 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191993 Loss2 0.365651
- 2022-02-12 13:26:45,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200313, best_loss=0.199197
- 2022-02-12 13:26:46,466 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187424, best_loss=0.187304
- 2022-02-12 13:26:46,467 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.29349970817566s
- 2022-02-12 13:26:46,467 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:26:46,467 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:26:46,467 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 723
- 2022-02-12 13:26:46,580 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168275 Loss2 0.325477
- 2022-02-12 13:27:01,445 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200235, best_loss=0.199197
- 2022-02-12 13:27:02,506 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187431, best_loss=0.187304
- 2022-02-12 13:27:02,507 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.0395028591156s
- 2022-02-12 13:27:02,507 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:27:02,507 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:27:02,507 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 724
- 2022-02-12 13:27:02,622 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155403 Loss2 0.332752
- 2022-02-12 13:27:17,837 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199159, best_loss=0.199197
- 2022-02-12 13:27:17,867 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:27:18,881 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187342, best_loss=0.187304
- 2022-02-12 13:27:18,882 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37499690055847s
- 2022-02-12 13:27:18,882 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:27:18,882 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:27:18,882 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 725
- 2022-02-12 13:27:18,990 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170494 Loss2 0.351380
- 2022-02-12 13:27:33,911 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199405, best_loss=0.199159
- 2022-02-12 13:27:34,976 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187255, best_loss=0.187304
- 2022-02-12 13:27:35,006 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:27:35,006 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.124499797821045s
- 2022-02-12 13:27:35,006 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:27:35,006 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:27:35,006 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 726
- 2022-02-12 13:27:35,119 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160365 Loss2 0.305351
- 2022-02-12 13:27:50,141 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200398, best_loss=0.199159
- 2022-02-12 13:27:51,211 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187229, best_loss=0.187255
- 2022-02-12 13:27:51,237 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:27:51,238 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.231500148773193s
- 2022-02-12 13:27:51,238 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:27:51,238 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:27:51,238 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 727
- 2022-02-12 13:27:51,345 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170946 Loss2 0.354202
- 2022-02-12 13:28:06,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200117, best_loss=0.199159
- 2022-02-12 13:28:07,460 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187369, best_loss=0.187229
- 2022-02-12 13:28:07,461 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.222498893737793s
- 2022-02-12 13:28:07,461 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:28:07,461 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:28:07,461 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 728
- 2022-02-12 13:28:07,578 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163180 Loss2 0.322651
- 2022-02-12 13:28:22,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199740, best_loss=0.199159
- 2022-02-12 13:28:23,577 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187332, best_loss=0.187229
- 2022-02-12 13:28:23,577 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.115999221801758s
- 2022-02-12 13:28:23,577 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:28:23,577 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:28:23,577 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 729
- 2022-02-12 13:28:23,696 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168605 Loss2 0.325019
- 2022-02-12 13:28:38,507 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198528, best_loss=0.199159
- 2022-02-12 13:28:38,534 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:28:39,609 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187321, best_loss=0.187229
- 2022-02-12 13:28:39,609 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.032001733779907s
- 2022-02-12 13:28:39,609 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:28:39,609 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:28:39,610 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 730
- 2022-02-12 13:28:39,724 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158556 Loss2 0.340123
- 2022-02-12 13:28:54,737 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199512, best_loss=0.198528
- 2022-02-12 13:28:55,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187293, best_loss=0.187229
- 2022-02-12 13:28:55,758 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.147999048233032s
- 2022-02-12 13:28:55,758 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:28:55,758 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:28:55,758 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 731
- 2022-02-12 13:28:55,885 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182735 Loss2 0.355828
- 2022-02-12 13:29:10,861 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199076, best_loss=0.198528
- 2022-02-12 13:29:11,929 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187215, best_loss=0.187229
- 2022-02-12 13:29:11,956 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:29:11,957 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.198999404907227s
- 2022-02-12 13:29:11,957 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:29:11,957 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:29:11,957 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 732
- 2022-02-12 13:29:12,068 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171554 Loss2 0.344447
- 2022-02-12 13:29:27,142 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198812, best_loss=0.198528
- 2022-02-12 13:29:28,228 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187261, best_loss=0.187215
- 2022-02-12 13:29:28,229 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.271501779556274s
- 2022-02-12 13:29:28,229 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:29:28,229 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:29:28,229 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 733
- 2022-02-12 13:29:28,362 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161638 Loss2 0.328605
- 2022-02-12 13:29:43,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200565, best_loss=0.198528
- 2022-02-12 13:29:44,566 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187085, best_loss=0.187215
- 2022-02-12 13:29:44,595 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:29:44,595 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.365997314453125s
- 2022-02-12 13:29:44,595 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:29:44,596 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:29:44,596 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 734
- 2022-02-12 13:29:44,730 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176750 Loss2 0.350100
- 2022-02-12 13:29:59,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200776, best_loss=0.198528
- 2022-02-12 13:30:00,823 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187112, best_loss=0.187085
- 2022-02-12 13:30:00,823 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.227500677108765s
- 2022-02-12 13:30:00,824 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:30:00,824 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:30:00,824 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 735
- 2022-02-12 13:30:00,937 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172461 Loss2 0.371531
- 2022-02-12 13:30:15,798 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201505, best_loss=0.198528
- 2022-02-12 13:30:16,854 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187063, best_loss=0.187085
- 2022-02-12 13:30:16,882 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:30:16,882 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.058499813079834s
- 2022-02-12 13:30:16,882 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:30:16,882 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:30:16,882 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 736
- 2022-02-12 13:30:16,990 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158084 Loss2 0.367554
- 2022-02-12 13:30:31,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200391, best_loss=0.198528
- 2022-02-12 13:30:33,014 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187006, best_loss=0.187063
- 2022-02-12 13:30:33,040 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:30:33,041 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.158501386642456s
- 2022-02-12 13:30:33,041 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:30:33,041 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:30:33,041 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 737
- 2022-02-12 13:30:33,154 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177968 Loss2 0.339040
- 2022-02-12 13:30:48,269 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200028, best_loss=0.198528
- 2022-02-12 13:30:49,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186916, best_loss=0.187006
- 2022-02-12 13:30:49,357 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:30:49,357 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31649947166443s
- 2022-02-12 13:30:49,357 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:30:49,357 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:30:49,357 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 738
- 2022-02-12 13:30:49,469 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192282 Loss2 0.393457
- 2022-02-12 13:31:04,362 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198989, best_loss=0.198528
- 2022-02-12 13:31:05,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186948, best_loss=0.186916
- 2022-02-12 13:31:05,435 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.077498197555542s
- 2022-02-12 13:31:05,435 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:31:05,435 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:31:05,435 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 739
- 2022-02-12 13:31:05,543 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191765 Loss2 0.368437
- 2022-02-12 13:31:20,640 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199149, best_loss=0.198528
- 2022-02-12 13:31:21,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186947, best_loss=0.186916
- 2022-02-12 13:31:21,710 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.27500319480896s
- 2022-02-12 13:31:21,710 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:31:21,710 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:31:21,710 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 740
- 2022-02-12 13:31:21,818 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176620 Loss2 0.351382
- 2022-02-12 13:31:36,936 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202541, best_loss=0.198528
- 2022-02-12 13:31:38,011 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186979, best_loss=0.186916
- 2022-02-12 13:31:38,012 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.301997661590576s
- 2022-02-12 13:31:38,012 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:31:38,012 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:31:38,012 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 741
- 2022-02-12 13:31:38,134 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.201960 Loss2 0.350694
- 2022-02-12 13:31:53,051 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200475, best_loss=0.198528
- 2022-02-12 13:31:54,126 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186911, best_loss=0.186916
- 2022-02-12 13:31:54,153 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:31:54,154 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.142000913619995s
- 2022-02-12 13:31:54,154 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:31:54,154 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:31:54,154 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 742
- 2022-02-12 13:31:54,268 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160424 Loss2 0.342811
- 2022-02-12 13:32:09,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199081, best_loss=0.198528
- 2022-02-12 13:32:10,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186810, best_loss=0.186911
- 2022-02-12 13:32:10,512 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:32:10,513 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.358497858047485s
- 2022-02-12 13:32:10,513 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:32:10,513 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:32:10,513 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 743
- 2022-02-12 13:32:10,627 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170050 Loss2 0.327403
- 2022-02-12 13:32:25,551 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199039, best_loss=0.198528
- 2022-02-12 13:32:26,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186702, best_loss=0.186810
- 2022-02-12 13:32:26,647 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:32:26,648 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.135501384735107s
- 2022-02-12 13:32:26,648 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:32:26,648 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:32:26,648 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 744
- 2022-02-12 13:32:26,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148906 Loss2 0.326581
- 2022-02-12 13:32:41,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198765, best_loss=0.198528
- 2022-02-12 13:32:42,846 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186635, best_loss=0.186702
- 2022-02-12 13:32:42,874 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:32:42,875 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.226499557495117s
- 2022-02-12 13:32:42,875 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:32:42,875 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:32:42,875 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 745
- 2022-02-12 13:32:42,988 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168218 Loss2 0.325815
- 2022-02-12 13:32:57,798 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200233, best_loss=0.198528
- 2022-02-12 13:32:58,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186597, best_loss=0.186635
- 2022-02-12 13:32:58,830 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:32:58,830 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.955500602722168s
- 2022-02-12 13:32:58,830 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:32:58,830 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:32:58,830 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 746
- 2022-02-12 13:32:58,943 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186545 Loss2 0.342187
- 2022-02-12 13:33:13,872 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199970, best_loss=0.198528
- 2022-02-12 13:33:14,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186600, best_loss=0.186597
- 2022-02-12 13:33:14,907 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.07699942588806s
- 2022-02-12 13:33:14,907 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:33:14,907 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:33:14,908 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 747
- 2022-02-12 13:33:15,015 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167577 Loss2 0.331446
- 2022-02-12 13:33:30,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199782, best_loss=0.198528
- 2022-02-12 13:33:31,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186682, best_loss=0.186597
- 2022-02-12 13:33:31,284 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37649941444397s
- 2022-02-12 13:33:31,284 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:33:31,284 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:33:31,285 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 748
- 2022-02-12 13:33:31,405 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159783 Loss2 0.329188
- 2022-02-12 13:33:46,472 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199851, best_loss=0.198528
- 2022-02-12 13:33:47,532 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186679, best_loss=0.186597
- 2022-02-12 13:33:47,532 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.24749755859375s
- 2022-02-12 13:33:47,532 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:33:47,532 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:33:47,532 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 749
- 2022-02-12 13:33:47,644 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168046 Loss2 0.318436
- 2022-02-12 13:34:02,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199155, best_loss=0.198528
- 2022-02-12 13:34:03,653 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186755, best_loss=0.186597
- 2022-02-12 13:34:03,654 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.12149977684021s
- 2022-02-12 13:34:03,654 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:34:03,654 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:34:03,654 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 750
- 2022-02-12 13:34:03,775 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184000 Loss2 0.377607
- 2022-02-12 13:34:18,735 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199369, best_loss=0.198528
- 2022-02-12 13:34:19,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186869, best_loss=0.186597
- 2022-02-12 13:34:19,810 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.15550136566162s
- 2022-02-12 13:34:19,810 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:34:19,810 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:34:19,810 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 751
- 2022-02-12 13:34:19,920 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162430 Loss2 0.318927
- 2022-02-12 13:34:34,900 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199322, best_loss=0.198528
- 2022-02-12 13:34:35,991 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186812, best_loss=0.186597
- 2022-02-12 13:34:35,992 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18199849128723s
- 2022-02-12 13:34:35,992 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:34:35,992 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:34:35,992 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 752
- 2022-02-12 13:34:36,100 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188738 Loss2 0.352090
- 2022-02-12 13:34:50,926 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199286, best_loss=0.198528
- 2022-02-12 13:34:51,979 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186692, best_loss=0.186597
- 2022-02-12 13:34:51,980 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 15.987502098083496s
- 2022-02-12 13:34:51,980 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:34:51,980 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:34:51,980 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 753
- 2022-02-12 13:34:52,088 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165977 Loss2 0.322830
- 2022-02-12 13:35:07,220 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198931, best_loss=0.198528
- 2022-02-12 13:35:08,287 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186614, best_loss=0.186597
- 2022-02-12 13:35:08,288 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3075008392334s
- 2022-02-12 13:35:08,288 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:35:08,288 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:35:08,288 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 754
- 2022-02-12 13:35:08,395 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186968 Loss2 0.363857
- 2022-02-12 13:35:23,440 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200292, best_loss=0.198528
- 2022-02-12 13:35:24,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186694, best_loss=0.186597
- 2022-02-12 13:35:24,517 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.228999614715576s
- 2022-02-12 13:35:24,517 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:35:24,517 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:35:24,517 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 755
- 2022-02-12 13:35:24,627 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168265 Loss2 0.365333
- 2022-02-12 13:35:39,551 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198771, best_loss=0.198528
- 2022-02-12 13:35:40,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186744, best_loss=0.186597
- 2022-02-12 13:35:40,623 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.106000423431396s
- 2022-02-12 13:35:40,623 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:35:40,623 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:35:40,623 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 756
- 2022-02-12 13:35:40,748 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154206 Loss2 0.311906
- 2022-02-12 13:35:55,619 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200055, best_loss=0.198528
- 2022-02-12 13:35:56,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186766, best_loss=0.186597
- 2022-02-12 13:35:56,680 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.056999444961548s
- 2022-02-12 13:35:56,680 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:35:56,680 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:35:56,681 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 757
- 2022-02-12 13:35:56,793 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172088 Loss2 0.342778
- 2022-02-12 13:36:11,885 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198512, best_loss=0.198528
- 2022-02-12 13:36:11,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:36:12,994 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186792, best_loss=0.186597
- 2022-02-12 13:36:12,995 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.31399965286255s
- 2022-02-12 13:36:12,995 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:36:12,995 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:36:12,995 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 758
- 2022-02-12 13:36:13,120 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164843 Loss2 0.342943
- 2022-02-12 13:36:28,232 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200304, best_loss=0.198512
- 2022-02-12 13:36:29,299 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186793, best_loss=0.186597
- 2022-02-12 13:36:29,300 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.304499864578247s
- 2022-02-12 13:36:29,300 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:36:29,300 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:36:29,300 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 759
- 2022-02-12 13:36:29,411 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178450 Loss2 0.317198
- 2022-02-12 13:36:44,356 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198478, best_loss=0.198512
- 2022-02-12 13:36:44,385 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:36:45,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186809, best_loss=0.186597
- 2022-02-12 13:36:45,417 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.117001056671143s
- 2022-02-12 13:36:45,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:36:45,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:36:45,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 760
- 2022-02-12 13:36:45,526 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183424 Loss2 0.332313
- 2022-02-12 13:37:00,467 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199689, best_loss=0.198478
- 2022-02-12 13:37:01,487 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186845, best_loss=0.186597
- 2022-02-12 13:37:01,487 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.069501161575317s
- 2022-02-12 13:37:01,487 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:37:01,487 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:37:01,487 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 761
- 2022-02-12 13:37:01,602 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187293 Loss2 0.333068
- 2022-02-12 13:37:16,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200076, best_loss=0.198478
- 2022-02-12 13:37:17,731 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186853, best_loss=0.186597
- 2022-02-12 13:37:17,731 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.243998289108276s
- 2022-02-12 13:37:17,731 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:37:17,731 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:37:17,731 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 762
- 2022-02-12 13:37:17,844 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168098 Loss2 0.311291
- 2022-02-12 13:37:32,824 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199863, best_loss=0.198478
- 2022-02-12 13:37:33,912 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186743, best_loss=0.186597
- 2022-02-12 13:37:33,912 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.180999517440796s
- 2022-02-12 13:37:33,912 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:37:33,912 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:37:33,912 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 763
- 2022-02-12 13:37:34,024 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179304 Loss2 0.373555
- 2022-02-12 13:37:49,136 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198662, best_loss=0.198478
- 2022-02-12 13:37:50,214 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186741, best_loss=0.186597
- 2022-02-12 13:37:50,214 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.301501750946045s
- 2022-02-12 13:37:50,214 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:37:50,214 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:37:50,214 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 764
- 2022-02-12 13:37:50,327 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180586 Loss2 0.351492
- 2022-02-12 13:38:05,268 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198344, best_loss=0.198478
- 2022-02-12 13:38:05,297 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:38:06,375 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186800, best_loss=0.186597
- 2022-02-12 13:38:06,375 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16100001335144s
- 2022-02-12 13:38:06,375 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:38:06,376 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:38:06,376 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 765
- 2022-02-12 13:38:06,507 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147128 Loss2 0.300738
- 2022-02-12 13:38:21,509 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199524, best_loss=0.198344
- 2022-02-12 13:38:22,570 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186753, best_loss=0.186597
- 2022-02-12 13:38:22,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.19499921798706s
- 2022-02-12 13:38:22,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:38:22,571 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:38:22,571 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 766
- 2022-02-12 13:38:22,685 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171424 Loss2 0.336451
- 2022-02-12 13:38:37,515 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199725, best_loss=0.198344
- 2022-02-12 13:38:38,575 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186841, best_loss=0.186597
- 2022-02-12 13:38:38,576 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.004499197006226s
- 2022-02-12 13:38:38,576 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:38:38,576 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:38:38,576 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 767
- 2022-02-12 13:38:38,700 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165562 Loss2 0.339588
- 2022-02-12 13:38:53,738 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200118, best_loss=0.198344
- 2022-02-12 13:38:54,779 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186873, best_loss=0.186597
- 2022-02-12 13:38:54,780 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.203501224517822s
- 2022-02-12 13:38:54,780 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:38:54,780 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:38:54,780 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 768
- 2022-02-12 13:38:54,888 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162277 Loss2 0.302652
- 2022-02-12 13:39:10,024 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199139, best_loss=0.198344
- 2022-02-12 13:39:11,091 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186716, best_loss=0.186597
- 2022-02-12 13:39:11,092 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.311498641967773s
- 2022-02-12 13:39:11,092 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:39:11,092 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:39:11,092 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 769
- 2022-02-12 13:39:11,214 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192262 Loss2 0.340419
- 2022-02-12 13:39:26,209 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198355, best_loss=0.198344
- 2022-02-12 13:39:27,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186678, best_loss=0.186597
- 2022-02-12 13:39:27,276 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18350124359131s
- 2022-02-12 13:39:27,276 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:39:27,276 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:39:27,276 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 770
- 2022-02-12 13:39:27,379 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189794 Loss2 0.379599
- 2022-02-12 13:39:42,314 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197775, best_loss=0.198344
- 2022-02-12 13:39:42,340 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:39:43,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186589, best_loss=0.186597
- 2022-02-12 13:39:43,438 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:39:43,438 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.162500143051147s
- 2022-02-12 13:39:43,438 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:39:43,438 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:39:43,438 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 771
- 2022-02-12 13:39:43,585 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158308 Loss2 0.344639
- 2022-02-12 13:39:58,535 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197875, best_loss=0.197775
- 2022-02-12 13:39:59,592 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186573, best_loss=0.186589
- 2022-02-12 13:39:59,620 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:39:59,621 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.18199872970581s
- 2022-02-12 13:39:59,621 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:39:59,621 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:39:59,621 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 772
- 2022-02-12 13:39:59,729 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196212 Loss2 0.336778
- 2022-02-12 13:40:14,804 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198595, best_loss=0.197775
- 2022-02-12 13:40:15,862 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186551, best_loss=0.186573
- 2022-02-12 13:40:15,889 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:40:15,889 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.268500804901123s
- 2022-02-12 13:40:15,889 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 773
- 2022-02-12 13:40:16,011 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181300 Loss2 0.370439
- 2022-02-12 13:40:31,127 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199336, best_loss=0.197775
- 2022-02-12 13:40:32,192 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186577, best_loss=0.186551
- 2022-02-12 13:40:32,192 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.302500009536743s
- 2022-02-12 13:40:32,193 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:40:32,193 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:40:32,193 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 774
- 2022-02-12 13:40:32,300 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173771 Loss2 0.335588
- 2022-02-12 13:40:47,280 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198911, best_loss=0.197775
- 2022-02-12 13:40:48,344 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186518, best_loss=0.186551
- 2022-02-12 13:40:48,372 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:40:48,373 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.180001497268677s
- 2022-02-12 13:40:48,373 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:40:48,373 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:40:48,373 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 775
- 2022-02-12 13:40:48,479 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159037 Loss2 0.335448
- 2022-02-12 13:41:03,548 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198574, best_loss=0.197775
- 2022-02-12 13:41:04,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186501, best_loss=0.186518
- 2022-02-12 13:41:04,643 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:41:04,643 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.269997358322144s
- 2022-02-12 13:41:04,643 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:41:04,644 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:41:04,644 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 776
- 2022-02-12 13:41:04,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181466 Loss2 0.348278
- 2022-02-12 13:41:19,625 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198326, best_loss=0.197775
- 2022-02-12 13:41:20,698 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186502, best_loss=0.186501
- 2022-02-12 13:41:20,698 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.05450463294983s
- 2022-02-12 13:41:20,698 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:41:20,698 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:41:20,698 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 777
- 2022-02-12 13:41:20,821 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179535 Loss2 0.335185
- 2022-02-12 13:41:35,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198771, best_loss=0.197775
- 2022-02-12 13:41:36,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186536, best_loss=0.186501
- 2022-02-12 13:41:36,867 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.16899800300598s
- 2022-02-12 13:41:36,867 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:41:36,868 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:41:36,868 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 778
- 2022-02-12 13:41:36,986 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173102 Loss2 0.347019
- 2022-02-12 13:41:51,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198177, best_loss=0.197775
- 2022-02-12 13:41:53,036 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186531, best_loss=0.186501
- 2022-02-12 13:41:53,036 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.168500185012817s
- 2022-02-12 13:41:53,036 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:41:53,037 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:41:53,037 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 779
- 2022-02-12 13:41:53,147 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177434 Loss2 0.355771
- 2022-02-12 13:42:08,353 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198784, best_loss=0.197775
- 2022-02-12 13:42:09,431 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186570, best_loss=0.186501
- 2022-02-12 13:42:09,432 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.394999504089355s
- 2022-02-12 13:42:09,432 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:42:09,432 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:42:09,432 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 780
- 2022-02-12 13:42:09,570 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170289 Loss2 0.352434
- 2022-02-12 13:42:25,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197891, best_loss=0.197775
- 2022-02-12 13:42:26,195 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186492, best_loss=0.186501
- 2022-02-12 13:42:26,222 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:42:26,222 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.790000677108765s
- 2022-02-12 13:42:26,222 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:42:26,222 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:42:26,222 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 781
- 2022-02-12 13:42:26,335 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157221 Loss2 0.334654
- 2022-02-12 13:42:42,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198604, best_loss=0.197775
- 2022-02-12 13:42:43,152 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186378, best_loss=0.186492
- 2022-02-12 13:42:43,187 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:42:43,188 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.965500354766846s
- 2022-02-12 13:42:43,188 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:42:43,188 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:42:43,188 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 782
- 2022-02-12 13:42:43,298 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166878 Loss2 0.341077
- 2022-02-12 13:42:58,920 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197972, best_loss=0.197775
- 2022-02-12 13:43:00,023 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186480, best_loss=0.186378
- 2022-02-12 13:43:00,023 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.835498094558716s
- 2022-02-12 13:43:00,023 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:43:00,023 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:43:00,024 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 783
- 2022-02-12 13:43:00,147 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161086 Loss2 0.320152
- 2022-02-12 13:43:16,608 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198813, best_loss=0.197775
- 2022-02-12 13:43:17,715 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186547, best_loss=0.186378
- 2022-02-12 13:43:17,716 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 17.692004203796387s
- 2022-02-12 13:43:17,716 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:43:17,716 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:43:17,716 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 784
- 2022-02-12 13:43:17,829 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161144 Loss2 0.339466
- 2022-02-12 13:43:33,493 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198425, best_loss=0.197775
- 2022-02-12 13:43:34,571 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186513, best_loss=0.186378
- 2022-02-12 13:43:34,572 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.85599708557129s
- 2022-02-12 13:43:34,572 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:43:34,572 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:43:34,572 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 785
- 2022-02-12 13:43:34,690 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146879 Loss2 0.330691
- 2022-02-12 13:43:50,210 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197985, best_loss=0.197775
- 2022-02-12 13:43:51,286 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186458, best_loss=0.186378
- 2022-02-12 13:43:51,286 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.714500427246094s
- 2022-02-12 13:43:51,287 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:43:51,287 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:43:51,287 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 786
- 2022-02-12 13:43:51,398 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181878 Loss2 0.370699
- 2022-02-12 13:44:07,020 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198772, best_loss=0.197775
- 2022-02-12 13:44:08,104 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186409, best_loss=0.186378
- 2022-02-12 13:44:08,105 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.81799840927124s
- 2022-02-12 13:44:08,105 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:44:08,105 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:44:08,105 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 787
- 2022-02-12 13:44:08,216 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170815 Loss2 0.355856
- 2022-02-12 13:44:23,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198519, best_loss=0.197775
- 2022-02-12 13:44:24,893 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186104, best_loss=0.186378
- 2022-02-12 13:44:24,925 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:44:24,926 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.821000576019287s
- 2022-02-12 13:44:24,926 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:44:24,926 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:44:24,926 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 788
- 2022-02-12 13:44:25,042 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180375 Loss2 0.356583
- 2022-02-12 13:44:40,762 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199235, best_loss=0.197775
- 2022-02-12 13:44:41,836 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186109, best_loss=0.186104
- 2022-02-12 13:44:41,836 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.90999960899353s
- 2022-02-12 13:44:41,836 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:44:41,836 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:44:41,836 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 789
- 2022-02-12 13:44:41,955 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184604 Loss2 0.359631
- 2022-02-12 13:44:57,532 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198612, best_loss=0.197775
- 2022-02-12 13:44:58,618 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186164, best_loss=0.186104
- 2022-02-12 13:44:58,619 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.782500743865967s
- 2022-02-12 13:44:58,619 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:44:58,619 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:44:58,619 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 790
- 2022-02-12 13:44:58,744 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163566 Loss2 0.339240
- 2022-02-12 13:45:14,294 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199614, best_loss=0.197775
- 2022-02-12 13:45:15,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186231, best_loss=0.186104
- 2022-02-12 13:45:15,380 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.760998249053955s
- 2022-02-12 13:45:15,380 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:45:15,380 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:45:15,380 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 791
- 2022-02-12 13:45:15,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149983 Loss2 0.315348
- 2022-02-12 13:45:30,665 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197100, best_loss=0.197775
- 2022-02-12 13:45:30,692 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:45:31,765 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186087, best_loss=0.186104
- 2022-02-12 13:45:31,793 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:45:31,794 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41349959373474s
- 2022-02-12 13:45:31,794 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:45:31,794 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:45:31,794 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 792
- 2022-02-12 13:45:31,907 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171696 Loss2 0.355102
- 2022-02-12 13:45:47,046 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196499, best_loss=0.197100
- 2022-02-12 13:45:47,073 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:45:48,139 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186131, best_loss=0.186087
- 2022-02-12 13:45:48,140 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.346001386642456s
- 2022-02-12 13:45:48,140 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:45:48,140 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:45:48,140 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 793
- 2022-02-12 13:45:48,251 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189649 Loss2 0.352423
- 2022-02-12 13:46:03,665 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197161, best_loss=0.196499
- 2022-02-12 13:46:04,753 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185996, best_loss=0.186087
- 2022-02-12 13:46:04,780 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:46:04,781 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.640501022338867s
- 2022-02-12 13:46:04,781 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:46:04,781 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:46:04,781 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 794
- 2022-02-12 13:46:04,890 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173134 Loss2 0.350919
- 2022-02-12 13:46:20,082 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199666, best_loss=0.196499
- 2022-02-12 13:46:21,143 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185981, best_loss=0.185996
- 2022-02-12 13:46:21,173 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:46:21,173 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.392027139663696s
- 2022-02-12 13:46:21,173 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:46:21,173 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:46:21,173 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 795
- 2022-02-12 13:46:21,302 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162275 Loss2 0.333520
- 2022-02-12 13:46:36,753 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197710, best_loss=0.196499
- 2022-02-12 13:46:37,816 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185949, best_loss=0.185981
- 2022-02-12 13:46:37,846 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:46:37,847 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.672972917556763s
- 2022-02-12 13:46:37,847 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:46:37,847 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:46:37,847 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 796
- 2022-02-12 13:46:37,957 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184500 Loss2 0.359312
- 2022-02-12 13:46:53,287 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197994, best_loss=0.196499
- 2022-02-12 13:46:54,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185818, best_loss=0.185949
- 2022-02-12 13:46:54,413 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:46:54,414 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.567001581192017s
- 2022-02-12 13:46:54,414 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:46:54,414 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:46:54,414 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 797
- 2022-02-12 13:46:54,528 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159362 Loss2 0.323305
- 2022-02-12 13:47:09,641 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198180, best_loss=0.196499
- 2022-02-12 13:47:10,707 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185922, best_loss=0.185818
- 2022-02-12 13:47:10,708 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2934992313385s
- 2022-02-12 13:47:10,708 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:47:10,708 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:47:10,708 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 798
- 2022-02-12 13:47:10,813 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176248 Loss2 0.368770
- 2022-02-12 13:47:26,062 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198736, best_loss=0.196499
- 2022-02-12 13:47:27,127 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185789, best_loss=0.185818
- 2022-02-12 13:47:27,153 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:47:27,154 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.446000337600708s
- 2022-02-12 13:47:27,154 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:47:27,154 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:47:27,154 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 799
- 2022-02-12 13:47:27,264 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174382 Loss2 0.408575
- 2022-02-12 13:47:42,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197277, best_loss=0.196499
- 2022-02-12 13:47:43,466 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185796, best_loss=0.185789
- 2022-02-12 13:47:43,466 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.312500715255737s
- 2022-02-12 13:47:43,466 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:47:43,466 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:47:43,466 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 800
- 2022-02-12 13:47:43,582 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186208 Loss2 0.355294
- 2022-02-12 13:47:58,813 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197960, best_loss=0.196499
- 2022-02-12 13:47:59,882 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185804, best_loss=0.185789
- 2022-02-12 13:47:59,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.416500568389893s
- 2022-02-12 13:47:59,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:47:59,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:47:59,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 801
- 2022-02-12 13:48:00,004 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175463 Loss2 0.329751
- 2022-02-12 13:48:15,214 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199483, best_loss=0.196499
- 2022-02-12 13:48:16,278 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185690, best_loss=0.185789
- 2022-02-12 13:48:16,303 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:48:16,304 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.420500993728638s
- 2022-02-12 13:48:16,304 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:48:16,304 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:48:16,304 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 802
- 2022-02-12 13:48:16,410 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182558 Loss2 0.330993
- 2022-02-12 13:48:31,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198767, best_loss=0.196499
- 2022-02-12 13:48:32,686 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185790, best_loss=0.185690
- 2022-02-12 13:48:32,687 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.382997751235962s
- 2022-02-12 13:48:32,687 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:48:32,687 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:48:32,687 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 803
- 2022-02-12 13:48:32,806 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179784 Loss2 0.342123
- 2022-02-12 13:48:47,936 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197628, best_loss=0.196499
- 2022-02-12 13:48:49,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185741, best_loss=0.185690
- 2022-02-12 13:48:49,010 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.322999477386475s
- 2022-02-12 13:48:49,010 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:48:49,010 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:48:49,010 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 804
- 2022-02-12 13:48:49,138 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178136 Loss2 0.344296
- 2022-02-12 13:49:04,430 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198672, best_loss=0.196499
- 2022-02-12 13:49:05,506 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185703, best_loss=0.185690
- 2022-02-12 13:49:05,506 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.495497941970825s
- 2022-02-12 13:49:05,506 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:49:05,506 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:49:05,506 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 805
- 2022-02-12 13:49:05,613 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153513 Loss2 0.308389
- 2022-02-12 13:49:20,669 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198558, best_loss=0.196499
- 2022-02-12 13:49:21,729 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185809, best_loss=0.185690
- 2022-02-12 13:49:21,730 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.223499298095703s
- 2022-02-12 13:49:21,730 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:49:21,730 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:49:21,730 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 806
- 2022-02-12 13:49:21,837 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167272 Loss2 0.324917
- 2022-02-12 13:49:37,089 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198074, best_loss=0.196499
- 2022-02-12 13:49:38,155 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185739, best_loss=0.185690
- 2022-02-12 13:49:38,156 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.426000595092773s
- 2022-02-12 13:49:38,156 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:49:38,156 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:49:38,156 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 807
- 2022-02-12 13:49:38,276 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161556 Loss2 0.334047
- 2022-02-12 13:49:53,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198176, best_loss=0.196499
- 2022-02-12 13:49:54,668 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185759, best_loss=0.185690
- 2022-02-12 13:49:54,668 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.512500524520874s
- 2022-02-12 13:49:54,668 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:49:54,668 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:49:54,668 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 808
- 2022-02-12 13:49:54,802 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166860 Loss2 0.332436
- 2022-02-12 13:50:09,922 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199876, best_loss=0.196499
- 2022-02-12 13:50:10,981 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185806, best_loss=0.185690
- 2022-02-12 13:50:10,982 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.312997817993164s
- 2022-02-12 13:50:10,982 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:50:10,982 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:50:10,982 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 809
- 2022-02-12 13:50:11,087 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159754 Loss2 0.319604
- 2022-02-12 13:50:26,367 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197957, best_loss=0.196499
- 2022-02-12 13:50:27,432 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185849, best_loss=0.185690
- 2022-02-12 13:50:27,433 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.451000452041626s
- 2022-02-12 13:50:27,433 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:50:27,433 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:50:27,433 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 810
- 2022-02-12 13:50:27,548 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172232 Loss2 0.353744
- 2022-02-12 13:50:42,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198020, best_loss=0.196499
- 2022-02-12 13:50:43,802 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185918, best_loss=0.185690
- 2022-02-12 13:50:43,803 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.369999170303345s
- 2022-02-12 13:50:43,803 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:50:43,803 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:50:43,803 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 811
- 2022-02-12 13:50:43,912 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158035 Loss2 0.329594
- 2022-02-12 13:50:59,064 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198193, best_loss=0.196499
- 2022-02-12 13:51:00,119 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185900, best_loss=0.185690
- 2022-02-12 13:51:00,120 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.316497802734375s
- 2022-02-12 13:51:00,120 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:51:00,120 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:51:00,120 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 812
- 2022-02-12 13:51:00,237 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175326 Loss2 0.363170
- 2022-02-12 13:51:15,426 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197876, best_loss=0.196499
- 2022-02-12 13:51:16,498 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185931, best_loss=0.185690
- 2022-02-12 13:51:16,499 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.379002332687378s
- 2022-02-12 13:51:16,499 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:51:16,499 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:51:16,499 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 813
- 2022-02-12 13:51:16,610 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182790 Loss2 0.377895
- 2022-02-12 13:51:32,021 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197953, best_loss=0.196499
- 2022-02-12 13:51:33,076 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186049, best_loss=0.185690
- 2022-02-12 13:51:33,077 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.577999591827393s
- 2022-02-12 13:51:33,077 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:51:33,077 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:51:33,077 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 814
- 2022-02-12 13:51:33,191 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145525 Loss2 0.294089
- 2022-02-12 13:51:48,332 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197923, best_loss=0.196499
- 2022-02-12 13:51:49,414 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186099, best_loss=0.185690
- 2022-02-12 13:51:49,415 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.337501287460327s
- 2022-02-12 13:51:49,415 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:51:49,415 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:51:49,415 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 815
- 2022-02-12 13:51:49,517 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162144 Loss2 0.326804
- 2022-02-12 13:52:04,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198486, best_loss=0.196499
- 2022-02-12 13:52:05,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186023, best_loss=0.185690
- 2022-02-12 13:52:05,890 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.474998950958252s
- 2022-02-12 13:52:05,890 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:52:05,890 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:52:05,890 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 816
- 2022-02-12 13:52:06,007 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174534 Loss2 0.324593
- 2022-02-12 13:52:21,253 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197929, best_loss=0.196499
- 2022-02-12 13:52:22,320 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185756, best_loss=0.185690
- 2022-02-12 13:52:22,321 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.430997848510742s
- 2022-02-12 13:52:22,321 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:52:22,321 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:52:22,321 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 817
- 2022-02-12 13:52:22,449 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152115 Loss2 0.308167
- 2022-02-12 13:52:37,712 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197888, best_loss=0.196499
- 2022-02-12 13:52:38,781 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185640, best_loss=0.185690
- 2022-02-12 13:52:38,811 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:52:38,812 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.490501880645752s
- 2022-02-12 13:52:38,812 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:52:38,812 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:52:38,812 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 818
- 2022-02-12 13:52:38,940 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173198 Loss2 0.324431
- 2022-02-12 13:52:54,242 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198643, best_loss=0.196499
- 2022-02-12 13:52:55,319 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185629, best_loss=0.185640
- 2022-02-12 13:52:55,349 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:52:55,350 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.537999629974365s
- 2022-02-12 13:52:55,350 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:52:55,350 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:52:55,350 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 819
- 2022-02-12 13:52:55,466 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163525 Loss2 0.346123
- 2022-02-12 13:53:10,564 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197149, best_loss=0.196499
- 2022-02-12 13:53:11,638 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185683, best_loss=0.185629
- 2022-02-12 13:53:11,638 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.2885000705719s
- 2022-02-12 13:53:11,638 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:53:11,638 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:53:11,638 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 820
- 2022-02-12 13:53:11,760 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174772 Loss2 0.335416
- 2022-02-12 13:53:26,759 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198733, best_loss=0.196499
- 2022-02-12 13:53:27,829 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185686, best_loss=0.185629
- 2022-02-12 13:53:27,830 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.191500425338745s
- 2022-02-12 13:53:27,830 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:53:27,830 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:53:27,830 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 821
- 2022-02-12 13:53:27,945 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191224 Loss2 0.378481
- 2022-02-12 13:53:43,361 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198980, best_loss=0.196499
- 2022-02-12 13:53:44,428 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185620, best_loss=0.185629
- 2022-02-12 13:53:44,454 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:53:44,455 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.625s
- 2022-02-12 13:53:44,455 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:53:44,455 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:53:44,455 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 822
- 2022-02-12 13:53:44,570 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152618 Loss2 0.334522
- 2022-02-12 13:53:59,877 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198824, best_loss=0.196499
- 2022-02-12 13:54:00,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185634, best_loss=0.185620
- 2022-02-12 13:54:00,933 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.477999925613403s
- 2022-02-12 13:54:00,933 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:54:00,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:54:00,934 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 823
- 2022-02-12 13:54:01,062 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171713 Loss2 0.347427
- 2022-02-12 13:54:16,175 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197508, best_loss=0.196499
- 2022-02-12 13:54:17,247 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185679, best_loss=0.185620
- 2022-02-12 13:54:17,247 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3134982585907s
- 2022-02-12 13:54:17,247 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:54:17,248 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:54:17,248 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 824
- 2022-02-12 13:54:17,353 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151393 Loss2 0.330471
- 2022-02-12 13:54:32,571 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198289, best_loss=0.196499
- 2022-02-12 13:54:33,638 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185722, best_loss=0.185620
- 2022-02-12 13:54:33,639 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.391002655029297s
- 2022-02-12 13:54:33,639 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:54:33,639 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:54:33,639 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 825
- 2022-02-12 13:54:33,746 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159526 Loss2 0.300820
- 2022-02-12 13:54:49,070 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197541, best_loss=0.196499
- 2022-02-12 13:54:50,135 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185620, best_loss=0.185620
- 2022-02-12 13:54:50,136 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.49699902534485s
- 2022-02-12 13:54:50,136 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:54:50,136 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:54:50,136 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 826
- 2022-02-12 13:54:50,242 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172871 Loss2 0.321102
- 2022-02-12 13:55:05,302 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198326, best_loss=0.196499
- 2022-02-12 13:55:06,363 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185655, best_loss=0.185620
- 2022-02-12 13:55:06,363 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.227000951766968s
- 2022-02-12 13:55:06,363 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:55:06,364 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:55:06,364 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 827
- 2022-02-12 13:55:06,480 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188703 Loss2 0.378233
- 2022-02-12 13:55:21,691 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199693, best_loss=0.196499
- 2022-02-12 13:55:22,757 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185655, best_loss=0.185620
- 2022-02-12 13:55:22,757 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39350199699402s
- 2022-02-12 13:55:22,758 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:55:22,758 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:55:22,758 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 828
- 2022-02-12 13:55:22,878 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167024 Loss2 0.340624
- 2022-02-12 13:55:37,922 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197444, best_loss=0.196499
- 2022-02-12 13:55:38,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185649, best_loss=0.185620
- 2022-02-12 13:55:38,995 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.237495183944702s
- 2022-02-12 13:55:38,996 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:55:38,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:55:38,996 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 829
- 2022-02-12 13:55:39,107 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175461 Loss2 0.366350
- 2022-02-12 13:55:54,260 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198668, best_loss=0.196499
- 2022-02-12 13:55:55,332 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185653, best_loss=0.185620
- 2022-02-12 13:55:55,332 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33650255203247s
- 2022-02-12 13:55:55,332 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:55:55,332 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:55:55,332 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 830
- 2022-02-12 13:55:55,456 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168765 Loss2 0.345897
- 2022-02-12 13:56:10,697 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197717, best_loss=0.196499
- 2022-02-12 13:56:11,755 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185614, best_loss=0.185620
- 2022-02-12 13:56:11,780 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:56:11,781 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44849967956543s
- 2022-02-12 13:56:11,781 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:56:11,781 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:56:11,781 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 831
- 2022-02-12 13:56:11,897 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156556 Loss2 0.354891
- 2022-02-12 13:56:27,008 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197839, best_loss=0.196499
- 2022-02-12 13:56:28,114 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185489, best_loss=0.185614
- 2022-02-12 13:56:28,144 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:56:28,144 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.362998723983765s
- 2022-02-12 13:56:28,145 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:56:28,145 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:56:28,145 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 832
- 2022-02-12 13:56:28,264 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161654 Loss2 0.337522
- 2022-02-12 13:56:43,325 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197514, best_loss=0.196499
- 2022-02-12 13:56:44,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185533, best_loss=0.185489
- 2022-02-12 13:56:44,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.236500024795532s
- 2022-02-12 13:56:44,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:56:44,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:56:44,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 833
- 2022-02-12 13:56:44,485 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.140136 Loss2 0.301373
- 2022-02-12 13:56:59,700 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200172, best_loss=0.196499
- 2022-02-12 13:57:00,758 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185547, best_loss=0.185489
- 2022-02-12 13:57:00,759 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37800121307373s
- 2022-02-12 13:57:00,759 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:57:00,759 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:57:00,759 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 834
- 2022-02-12 13:57:00,882 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180518 Loss2 0.383696
- 2022-02-12 13:57:16,007 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197299, best_loss=0.196499
- 2022-02-12 13:57:17,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185549, best_loss=0.185489
- 2022-02-12 13:57:17,094 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.3344988822937s
- 2022-02-12 13:57:17,094 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:57:17,094 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:57:17,094 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 835
- 2022-02-12 13:57:17,212 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171430 Loss2 0.332718
- 2022-02-12 13:57:32,470 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197987, best_loss=0.196499
- 2022-02-12 13:57:33,537 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185573, best_loss=0.185489
- 2022-02-12 13:57:33,538 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.444002151489258s
- 2022-02-12 13:57:33,538 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:57:33,538 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:57:33,538 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 836
- 2022-02-12 13:57:33,653 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174926 Loss2 0.335852
- 2022-02-12 13:57:48,824 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197539, best_loss=0.196499
- 2022-02-12 13:57:49,898 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185523, best_loss=0.185489
- 2022-02-12 13:57:49,899 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.361000299453735s
- 2022-02-12 13:57:49,899 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:57:49,899 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:57:49,899 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 837
- 2022-02-12 13:57:50,021 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161565 Loss2 0.313377
- 2022-02-12 13:58:05,231 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199048, best_loss=0.196499
- 2022-02-12 13:58:06,302 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185532, best_loss=0.185489
- 2022-02-12 13:58:06,302 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.40349841117859s
- 2022-02-12 13:58:06,303 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:58:06,303 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:58:06,303 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 838
- 2022-02-12 13:58:06,414 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157642 Loss2 0.335649
- 2022-02-12 13:58:21,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197606, best_loss=0.196499
- 2022-02-12 13:58:22,897 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185486, best_loss=0.185489
- 2022-02-12 13:58:22,929 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:58:22,929 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.626506090164185s
- 2022-02-12 13:58:22,930 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:58:22,930 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:58:22,930 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 839
- 2022-02-12 13:58:23,045 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175881 Loss2 0.350493
- 2022-02-12 13:58:38,325 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197561, best_loss=0.196499
- 2022-02-12 13:58:39,391 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185298, best_loss=0.185486
- 2022-02-12 13:58:39,417 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 13:58:39,417 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4875009059906s
- 2022-02-12 13:58:39,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:58:39,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:58:39,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 840
- 2022-02-12 13:58:39,532 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146870 Loss2 0.345291
- 2022-02-12 13:58:54,715 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197140, best_loss=0.196499
- 2022-02-12 13:58:55,776 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185337, best_loss=0.185298
- 2022-02-12 13:58:55,777 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.35899782180786s
- 2022-02-12 13:58:55,777 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:58:55,777 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:58:55,777 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 841
- 2022-02-12 13:58:55,886 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180536 Loss2 0.369869
- 2022-02-12 13:59:11,076 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196939, best_loss=0.196499
- 2022-02-12 13:59:12,145 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185473, best_loss=0.185298
- 2022-02-12 13:59:12,146 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36850142478943s
- 2022-02-12 13:59:12,146 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:59:12,146 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:59:12,146 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 842
- 2022-02-12 13:59:12,255 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152660 Loss2 0.353205
- 2022-02-12 13:59:27,425 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197441, best_loss=0.196499
- 2022-02-12 13:59:28,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185434, best_loss=0.185298
- 2022-02-12 13:59:28,487 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34049940109253s
- 2022-02-12 13:59:28,487 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:59:28,487 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:59:28,487 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 843
- 2022-02-12 13:59:28,593 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170049 Loss2 0.348619
- 2022-02-12 13:59:43,806 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197730, best_loss=0.196499
- 2022-02-12 13:59:44,862 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185378, best_loss=0.185298
- 2022-02-12 13:59:44,863 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37600016593933s
- 2022-02-12 13:59:44,863 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 13:59:44,863 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 13:59:44,863 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 844
- 2022-02-12 13:59:44,974 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175529 Loss2 0.341833
- 2022-02-12 14:00:00,168 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198087, best_loss=0.196499
- 2022-02-12 14:00:01,233 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185227, best_loss=0.185298
- 2022-02-12 14:00:01,259 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:00:01,260 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.396501064300537s
- 2022-02-12 14:00:01,260 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:00:01,260 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:00:01,260 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 845
- 2022-02-12 14:00:01,365 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.133575 Loss2 0.280097
- 2022-02-12 14:00:16,951 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198242, best_loss=0.196499
- 2022-02-12 14:00:18,007 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185215, best_loss=0.185227
- 2022-02-12 14:00:18,034 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:00:18,034 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.773999452590942s
- 2022-02-12 14:00:18,034 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:00:18,034 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:00:18,034 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 846
- 2022-02-12 14:00:18,136 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166088 Loss2 0.332625
- 2022-02-12 14:00:33,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197504, best_loss=0.196499
- 2022-02-12 14:00:34,485 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185201, best_loss=0.185215
- 2022-02-12 14:00:34,514 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:00:34,515 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4805006980896s
- 2022-02-12 14:00:34,515 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:00:34,515 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:00:34,515 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 847
- 2022-02-12 14:00:34,638 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181237 Loss2 0.350364
- 2022-02-12 14:00:49,795 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197110, best_loss=0.196499
- 2022-02-12 14:00:50,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185191, best_loss=0.185201
- 2022-02-12 14:00:50,883 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:00:50,884 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36849856376648s
- 2022-02-12 14:00:50,884 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:00:50,884 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:00:50,884 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 848
- 2022-02-12 14:00:50,996 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174909 Loss2 0.373963
- 2022-02-12 14:01:06,304 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196076, best_loss=0.196499
- 2022-02-12 14:01:06,332 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:01:07,408 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184958, best_loss=0.185191
- 2022-02-12 14:01:07,435 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:01:07,435 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55150008201599s
- 2022-02-12 14:01:07,436 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:01:07,436 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:01:07,436 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 849
- 2022-02-12 14:01:07,555 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139866 Loss2 0.315444
- 2022-02-12 14:01:22,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202069, best_loss=0.196076
- 2022-02-12 14:01:23,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184974, best_loss=0.184958
- 2022-02-12 14:01:23,857 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4210262298584s
- 2022-02-12 14:01:23,857 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:01:23,857 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:01:23,857 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 850
- 2022-02-12 14:01:23,962 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172661 Loss2 0.360306
- 2022-02-12 14:01:39,250 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198269, best_loss=0.196076
- 2022-02-12 14:01:40,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184831, best_loss=0.184958
- 2022-02-12 14:01:40,358 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:01:40,359 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50147533416748s
- 2022-02-12 14:01:40,359 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:01:40,359 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:01:40,359 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 851
- 2022-02-12 14:01:40,481 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170613 Loss2 0.370762
- 2022-02-12 14:01:55,773 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198021, best_loss=0.196076
- 2022-02-12 14:01:56,845 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184840, best_loss=0.184831
- 2022-02-12 14:01:56,846 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.48650097846985s
- 2022-02-12 14:01:56,846 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:01:56,846 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:01:56,846 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 852
- 2022-02-12 14:01:56,950 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185372 Loss2 0.358533
- 2022-02-12 14:02:11,959 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197075, best_loss=0.196076
- 2022-02-12 14:02:13,019 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184816, best_loss=0.184831
- 2022-02-12 14:02:13,046 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:02:13,046 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.200499773025513s
- 2022-02-12 14:02:13,046 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:02:13,046 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:02:13,047 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 853
- 2022-02-12 14:02:13,153 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160630 Loss2 0.308047
- 2022-02-12 14:02:28,365 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196514, best_loss=0.196076
- 2022-02-12 14:02:29,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184879, best_loss=0.184816
- 2022-02-12 14:02:29,440 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39299774169922s
- 2022-02-12 14:02:29,440 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:02:29,440 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:02:29,440 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 854
- 2022-02-12 14:02:29,546 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160639 Loss2 0.329043
- 2022-02-12 14:02:44,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196062, best_loss=0.196076
- 2022-02-12 14:02:44,813 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:02:45,884 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184872, best_loss=0.184816
- 2022-02-12 14:02:45,884 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44450330734253s
- 2022-02-12 14:02:45,884 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:02:45,884 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:02:45,884 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 855
- 2022-02-12 14:02:46,001 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160432 Loss2 0.330070
- 2022-02-12 14:03:01,184 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196700, best_loss=0.196062
- 2022-02-12 14:03:02,252 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184852, best_loss=0.184816
- 2022-02-12 14:03:02,252 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36799907684326s
- 2022-02-12 14:03:02,252 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:03:02,252 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:03:02,252 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 856
- 2022-02-12 14:03:02,361 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144669 Loss2 0.307213
- 2022-02-12 14:03:17,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198141, best_loss=0.196062
- 2022-02-12 14:03:18,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184900, best_loss=0.184816
- 2022-02-12 14:03:18,677 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.424500226974487s
- 2022-02-12 14:03:18,677 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:03:18,677 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:03:18,677 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 857
- 2022-02-12 14:03:18,811 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166846 Loss2 0.354175
- 2022-02-12 14:03:33,914 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197175, best_loss=0.196062
- 2022-02-12 14:03:34,985 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184940, best_loss=0.184816
- 2022-02-12 14:03:34,986 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30899930000305s
- 2022-02-12 14:03:34,986 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:03:34,986 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:03:34,986 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 858
- 2022-02-12 14:03:35,097 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168244 Loss2 0.380093
- 2022-02-12 14:03:50,350 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197159, best_loss=0.196062
- 2022-02-12 14:03:51,425 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184892, best_loss=0.184816
- 2022-02-12 14:03:51,426 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.440000295639038s
- 2022-02-12 14:03:51,426 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:03:51,426 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:03:51,426 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 859
- 2022-02-12 14:03:51,536 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166692 Loss2 0.349131
- 2022-02-12 14:04:06,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195573, best_loss=0.196062
- 2022-02-12 14:04:06,772 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:04:07,829 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184847, best_loss=0.184816
- 2022-02-12 14:04:07,830 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.403500080108643s
- 2022-02-12 14:04:07,830 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:04:07,830 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:04:07,830 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 860
- 2022-02-12 14:04:07,940 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164952 Loss2 0.350086
- 2022-02-12 14:04:23,141 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197396, best_loss=0.195573
- 2022-02-12 14:04:24,208 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184895, best_loss=0.184816
- 2022-02-12 14:04:24,209 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37900137901306s
- 2022-02-12 14:04:24,209 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:04:24,209 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:04:24,209 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 861
- 2022-02-12 14:04:24,329 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174426 Loss2 0.345787
- 2022-02-12 14:04:39,403 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196826, best_loss=0.195573
- 2022-02-12 14:04:40,456 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184902, best_loss=0.184816
- 2022-02-12 14:04:40,457 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.248497486114502s
- 2022-02-12 14:04:40,457 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:04:40,457 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:04:40,457 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 862
- 2022-02-12 14:04:40,571 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151854 Loss2 0.296918
- 2022-02-12 14:04:55,868 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197709, best_loss=0.195573
- 2022-02-12 14:04:56,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184792, best_loss=0.184816
- 2022-02-12 14:04:56,961 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:04:56,962 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.505001544952393s
- 2022-02-12 14:04:56,962 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:04:56,962 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:04:56,962 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 863
- 2022-02-12 14:04:57,074 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166399 Loss2 0.342326
- 2022-02-12 14:05:12,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196745, best_loss=0.195573
- 2022-02-12 14:05:13,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184765, best_loss=0.184792
- 2022-02-12 14:05:13,624 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:05:13,625 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66249990463257s
- 2022-02-12 14:05:13,625 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:05:13,625 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:05:13,625 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 864
- 2022-02-12 14:05:13,746 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167197 Loss2 0.304282
- 2022-02-12 14:05:28,934 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196785, best_loss=0.195573
- 2022-02-12 14:05:29,990 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184744, best_loss=0.184765
- 2022-02-12 14:05:30,016 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:05:30,017 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39199948310852s
- 2022-02-12 14:05:30,017 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:05:30,017 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:05:30,017 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 865
- 2022-02-12 14:05:30,126 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183377 Loss2 0.339366
- 2022-02-12 14:05:45,435 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197193, best_loss=0.195573
- 2022-02-12 14:05:46,495 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184679, best_loss=0.184744
- 2022-02-12 14:05:46,522 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:05:46,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50550365447998s
- 2022-02-12 14:05:46,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:05:46,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:05:46,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 866
- 2022-02-12 14:05:46,630 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156891 Loss2 0.299179
- 2022-02-12 14:06:01,720 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197276, best_loss=0.195573
- 2022-02-12 14:06:02,832 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184691, best_loss=0.184679
- 2022-02-12 14:06:02,832 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.30949568748474s
- 2022-02-12 14:06:02,832 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:06:02,832 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:06:02,833 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 867
- 2022-02-12 14:06:02,948 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165332 Loss2 0.348377
- 2022-02-12 14:06:18,303 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197088, best_loss=0.195573
- 2022-02-12 14:06:19,369 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184653, best_loss=0.184679
- 2022-02-12 14:06:19,397 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:06:19,398 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.565001726150513s
- 2022-02-12 14:06:19,398 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:06:19,398 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:06:19,398 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 868
- 2022-02-12 14:06:19,503 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147967 Loss2 0.302193
- 2022-02-12 14:06:34,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196128, best_loss=0.195573
- 2022-02-12 14:06:35,693 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184649, best_loss=0.184653
- 2022-02-12 14:06:35,722 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:06:35,723 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.325031280517578s
- 2022-02-12 14:06:35,723 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:06:35,723 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:06:35,723 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 869
- 2022-02-12 14:06:35,840 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159121 Loss2 0.284714
- 2022-02-12 14:06:50,980 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196887, best_loss=0.195573
- 2022-02-12 14:06:52,055 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184753, best_loss=0.184649
- 2022-02-12 14:06:52,056 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.33247137069702s
- 2022-02-12 14:06:52,056 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:06:52,056 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:06:52,056 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 870
- 2022-02-12 14:06:52,173 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166235 Loss2 0.309431
- 2022-02-12 14:07:07,396 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197140, best_loss=0.195573
- 2022-02-12 14:07:08,458 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184771, best_loss=0.184649
- 2022-02-12 14:07:08,458 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.402002573013306s
- 2022-02-12 14:07:08,458 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:07:08,459 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:07:08,459 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 871
- 2022-02-12 14:07:08,571 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177027 Loss2 0.347115
- 2022-02-12 14:07:23,807 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197678, best_loss=0.195573
- 2022-02-12 14:07:24,877 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184778, best_loss=0.184649
- 2022-02-12 14:07:24,877 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41850185394287s
- 2022-02-12 14:07:24,877 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:07:24,877 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:07:24,877 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 872
- 2022-02-12 14:07:24,987 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170429 Loss2 0.306055
- 2022-02-12 14:07:40,207 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198253, best_loss=0.195573
- 2022-02-12 14:07:41,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184773, best_loss=0.184649
- 2022-02-12 14:07:41,276 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39849615097046s
- 2022-02-12 14:07:41,276 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:07:41,276 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:07:41,276 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 873
- 2022-02-12 14:07:41,403 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157311 Loss2 0.308383
- 2022-02-12 14:07:56,755 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197399, best_loss=0.195573
- 2022-02-12 14:07:57,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184668, best_loss=0.184649
- 2022-02-12 14:07:57,813 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.536999702453613s
- 2022-02-12 14:07:57,813 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:07:57,813 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:07:57,813 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 874
- 2022-02-12 14:07:57,933 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148185 Loss2 0.322546
- 2022-02-12 14:08:13,235 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197644, best_loss=0.195573
- 2022-02-12 14:08:14,298 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184685, best_loss=0.184649
- 2022-02-12 14:08:14,299 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.485501527786255s
- 2022-02-12 14:08:14,299 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:08:14,299 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:08:14,299 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 875
- 2022-02-12 14:08:14,411 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158786 Loss2 0.284909
- 2022-02-12 14:08:29,663 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196916, best_loss=0.195573
- 2022-02-12 14:08:30,721 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184705, best_loss=0.184649
- 2022-02-12 14:08:30,721 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.421998262405396s
- 2022-02-12 14:08:30,721 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:08:30,721 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:08:30,722 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 876
- 2022-02-12 14:08:30,827 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172755 Loss2 0.342917
- 2022-02-12 14:08:45,977 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196470, best_loss=0.195573
- 2022-02-12 14:08:47,037 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184699, best_loss=0.184649
- 2022-02-12 14:08:47,038 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.316501140594482s
- 2022-02-12 14:08:47,038 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:08:47,038 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:08:47,038 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 877
- 2022-02-12 14:08:47,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178253 Loss2 0.372789
- 2022-02-12 14:09:02,498 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197981, best_loss=0.195573
- 2022-02-12 14:09:03,548 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184701, best_loss=0.184649
- 2022-02-12 14:09:03,548 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50999879837036s
- 2022-02-12 14:09:03,548 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:09:03,548 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:09:03,548 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 878
- 2022-02-12 14:09:03,668 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171599 Loss2 0.348200
- 2022-02-12 14:09:18,857 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198026, best_loss=0.195573
- 2022-02-12 14:09:19,904 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184714, best_loss=0.184649
- 2022-02-12 14:09:19,905 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.35650110244751s
- 2022-02-12 14:09:19,905 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:09:19,905 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:09:19,905 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 879
- 2022-02-12 14:09:20,017 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170560 Loss2 0.347142
- 2022-02-12 14:09:35,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196995, best_loss=0.195573
- 2022-02-12 14:09:36,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184760, best_loss=0.184649
- 2022-02-12 14:09:36,335 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43049955368042s
- 2022-02-12 14:09:36,335 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:09:36,335 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:09:36,335 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 880
- 2022-02-12 14:09:36,454 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168074 Loss2 0.328136
- 2022-02-12 14:09:51,788 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198065, best_loss=0.195573
- 2022-02-12 14:09:52,858 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184951, best_loss=0.184649
- 2022-02-12 14:09:52,858 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.52300190925598s
- 2022-02-12 14:09:52,858 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:09:52,859 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:09:52,859 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 881
- 2022-02-12 14:09:52,971 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183812 Loss2 0.364347
- 2022-02-12 14:10:08,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197127, best_loss=0.195573
- 2022-02-12 14:10:09,226 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184801, best_loss=0.184649
- 2022-02-12 14:10:09,227 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.368000984191895s
- 2022-02-12 14:10:09,227 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:10:09,227 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:10:09,227 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 882
- 2022-02-12 14:10:09,340 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168885 Loss2 0.343575
- 2022-02-12 14:10:24,741 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197249, best_loss=0.195573
- 2022-02-12 14:10:25,818 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184896, best_loss=0.184649
- 2022-02-12 14:10:25,819 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.592000722885132s
- 2022-02-12 14:10:25,819 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:10:25,819 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:10:25,819 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 883
- 2022-02-12 14:10:25,952 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168562 Loss2 0.344208
- 2022-02-12 14:10:41,192 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196900, best_loss=0.195573
- 2022-02-12 14:10:42,252 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184907, best_loss=0.184649
- 2022-02-12 14:10:42,253 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.433498859405518s
- 2022-02-12 14:10:42,253 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:10:42,253 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:10:42,253 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 884
- 2022-02-12 14:10:42,363 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141037 Loss2 0.294450
- 2022-02-12 14:10:57,761 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196864, best_loss=0.195573
- 2022-02-12 14:10:58,830 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184870, best_loss=0.184649
- 2022-02-12 14:10:58,831 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.578499794006348s
- 2022-02-12 14:10:58,831 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:10:58,831 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:10:58,831 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 885
- 2022-02-12 14:10:58,958 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160098 Loss2 0.347697
- 2022-02-12 14:11:14,199 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196034, best_loss=0.195573
- 2022-02-12 14:11:15,267 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184872, best_loss=0.184649
- 2022-02-12 14:11:15,268 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43649935722351s
- 2022-02-12 14:11:15,268 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:11:15,268 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:11:15,268 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 886
- 2022-02-12 14:11:15,370 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172269 Loss2 0.368978
- 2022-02-12 14:11:30,448 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196167, best_loss=0.195573
- 2022-02-12 14:11:31,509 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184731, best_loss=0.184649
- 2022-02-12 14:11:31,510 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.242000818252563s
- 2022-02-12 14:11:31,510 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:11:31,510 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:11:31,510 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 887
- 2022-02-12 14:11:31,612 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174776 Loss2 0.327913
- 2022-02-12 14:11:46,514 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197259, best_loss=0.195573
- 2022-02-12 14:11:47,573 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184678, best_loss=0.184649
- 2022-02-12 14:11:47,574 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.06399917602539s
- 2022-02-12 14:11:47,574 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:11:47,574 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:11:47,574 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 888
- 2022-02-12 14:11:47,678 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176655 Loss2 0.340652
- 2022-02-12 14:12:02,913 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197447, best_loss=0.195573
- 2022-02-12 14:12:03,979 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184779, best_loss=0.184649
- 2022-02-12 14:12:03,979 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.405001163482666s
- 2022-02-12 14:12:03,979 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:12:03,979 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:12:03,979 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 889
- 2022-02-12 14:12:04,085 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162990 Loss2 0.335619
- 2022-02-12 14:12:19,320 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196884, best_loss=0.195573
- 2022-02-12 14:12:20,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184729, best_loss=0.184649
- 2022-02-12 14:12:20,390 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.410499811172485s
- 2022-02-12 14:12:20,390 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:12:20,390 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:12:20,390 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 890
- 2022-02-12 14:12:20,515 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175865 Loss2 0.343755
- 2022-02-12 14:12:35,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197400, best_loss=0.195573
- 2022-02-12 14:12:36,737 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184758, best_loss=0.184649
- 2022-02-12 14:12:36,737 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.34699845314026s
- 2022-02-12 14:12:36,737 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:12:36,737 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:12:36,737 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 891
- 2022-02-12 14:12:36,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154332 Loss2 0.336712
- 2022-02-12 14:12:52,052 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196756, best_loss=0.195573
- 2022-02-12 14:12:53,118 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184834, best_loss=0.184649
- 2022-02-12 14:12:53,118 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.381000518798828s
- 2022-02-12 14:12:53,118 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:12:53,118 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:12:53,118 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 892
- 2022-02-12 14:12:53,230 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177302 Loss2 0.366405
- 2022-02-12 14:13:08,464 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197141, best_loss=0.195573
- 2022-02-12 14:13:09,536 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184761, best_loss=0.184649
- 2022-02-12 14:13:09,537 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41849946975708s
- 2022-02-12 14:13:09,537 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:13:09,537 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:13:09,537 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 893
- 2022-02-12 14:13:09,649 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153292 Loss2 0.325097
- 2022-02-12 14:13:24,874 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197510, best_loss=0.195573
- 2022-02-12 14:13:25,940 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184836, best_loss=0.184649
- 2022-02-12 14:13:25,941 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4035005569458s
- 2022-02-12 14:13:25,941 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:13:25,941 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:13:25,941 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 894
- 2022-02-12 14:13:26,061 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171071 Loss2 0.346696
- 2022-02-12 14:13:41,347 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196563, best_loss=0.195573
- 2022-02-12 14:13:42,402 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184675, best_loss=0.184649
- 2022-02-12 14:13:42,403 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.461501836776733s
- 2022-02-12 14:13:42,403 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:13:42,403 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:13:42,403 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 895
- 2022-02-12 14:13:42,521 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165219 Loss2 0.322765
- 2022-02-12 14:13:57,930 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197093, best_loss=0.195573
- 2022-02-12 14:13:58,992 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184715, best_loss=0.184649
- 2022-02-12 14:13:58,992 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.589000701904297s
- 2022-02-12 14:13:58,992 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:13:58,992 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:13:58,992 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 896
- 2022-02-12 14:13:59,117 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163691 Loss2 0.332905
- 2022-02-12 14:14:14,540 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197395, best_loss=0.195573
- 2022-02-12 14:14:15,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184609, best_loss=0.184649
- 2022-02-12 14:14:15,644 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:14:15,644 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6519992351532s
- 2022-02-12 14:14:15,644 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:14:15,644 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:14:15,644 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 897
- 2022-02-12 14:14:15,763 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175048 Loss2 0.372889
- 2022-02-12 14:14:31,458 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196587, best_loss=0.195573
- 2022-02-12 14:14:32,536 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184495, best_loss=0.184609
- 2022-02-12 14:14:32,563 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:14:32,564 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.919497966766357s
- 2022-02-12 14:14:32,564 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:14:32,564 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:14:32,564 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 898
- 2022-02-12 14:14:32,694 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158971 Loss2 0.330302
- 2022-02-12 14:14:48,143 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197708, best_loss=0.195573
- 2022-02-12 14:14:49,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184553, best_loss=0.184495
- 2022-02-12 14:14:49,224 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65999960899353s
- 2022-02-12 14:14:49,225 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:14:49,225 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:14:49,225 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 899
- 2022-02-12 14:14:49,336 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166450 Loss2 0.326019
- 2022-02-12 14:15:04,659 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196673, best_loss=0.195573
- 2022-02-12 14:15:05,732 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184541, best_loss=0.184495
- 2022-02-12 14:15:05,733 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.508002042770386s
- 2022-02-12 14:15:05,733 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:15:05,733 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:15:05,733 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 900
- 2022-02-12 14:15:05,850 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197250 Loss2 0.382486
- 2022-02-12 14:15:21,338 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197182, best_loss=0.195573
- 2022-02-12 14:15:22,406 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184387, best_loss=0.184495
- 2022-02-12 14:15:22,433 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:15:22,433 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69999885559082s
- 2022-02-12 14:15:22,433 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:15:22,433 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:15:22,433 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 901
- 2022-02-12 14:15:22,546 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165414 Loss2 0.304464
- 2022-02-12 14:15:38,060 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198014, best_loss=0.195573
- 2022-02-12 14:15:39,141 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184613, best_loss=0.184387
- 2022-02-12 14:15:39,142 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.708998918533325s
- 2022-02-12 14:15:39,142 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:15:39,142 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:15:39,142 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 902
- 2022-02-12 14:15:39,248 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168611 Loss2 0.355349
- 2022-02-12 14:15:54,724 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197628, best_loss=0.195573
- 2022-02-12 14:15:55,792 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184635, best_loss=0.184387
- 2022-02-12 14:15:55,792 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.650001287460327s
- 2022-02-12 14:15:55,792 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:15:55,792 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:15:55,793 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 903
- 2022-02-12 14:15:55,904 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168603 Loss2 0.308026
- 2022-02-12 14:16:11,469 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197303, best_loss=0.195573
- 2022-02-12 14:16:12,534 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184715, best_loss=0.184387
- 2022-02-12 14:16:12,534 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7415030002594s
- 2022-02-12 14:16:12,535 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:16:12,535 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:16:12,535 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 904
- 2022-02-12 14:16:12,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.133796 Loss2 0.329187
- 2022-02-12 14:16:28,231 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197165, best_loss=0.195573
- 2022-02-12 14:16:29,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184604, best_loss=0.184387
- 2022-02-12 14:16:29,312 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.776997089385986s
- 2022-02-12 14:16:29,312 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:16:29,312 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:16:29,312 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 905
- 2022-02-12 14:16:29,427 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173857 Loss2 0.334062
- 2022-02-12 14:16:44,829 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197337, best_loss=0.195573
- 2022-02-12 14:16:45,902 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184659, best_loss=0.184387
- 2022-02-12 14:16:45,903 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59049963951111s
- 2022-02-12 14:16:45,903 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:16:45,903 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:16:45,903 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 906
- 2022-02-12 14:16:46,008 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148782 Loss2 0.288173
- 2022-02-12 14:17:01,648 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196774, best_loss=0.195573
- 2022-02-12 14:17:02,722 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184597, best_loss=0.184387
- 2022-02-12 14:17:02,723 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.819999933242798s
- 2022-02-12 14:17:02,723 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:17:02,723 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:17:02,723 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 907
- 2022-02-12 14:17:02,832 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150291 Loss2 0.340950
- 2022-02-12 14:17:18,264 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198388, best_loss=0.195573
- 2022-02-12 14:17:19,336 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184570, best_loss=0.184387
- 2022-02-12 14:17:19,337 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.614500999450684s
- 2022-02-12 14:17:19,337 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:17:19,337 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:17:19,337 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 908
- 2022-02-12 14:17:19,454 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183916 Loss2 0.321046
- 2022-02-12 14:17:34,767 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198163, best_loss=0.195573
- 2022-02-12 14:17:35,845 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184562, best_loss=0.184387
- 2022-02-12 14:17:35,846 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.508503913879395s
- 2022-02-12 14:17:35,846 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:17:35,846 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:17:35,846 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 909
- 2022-02-12 14:17:35,955 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161830 Loss2 0.303760
- 2022-02-12 14:17:51,551 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197062, best_loss=0.195573
- 2022-02-12 14:17:52,611 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184592, best_loss=0.184387
- 2022-02-12 14:17:52,611 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7654972076416s
- 2022-02-12 14:17:52,611 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:17:52,611 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:17:52,611 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 910
- 2022-02-12 14:17:52,715 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159463 Loss2 0.348569
- 2022-02-12 14:18:08,188 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195787, best_loss=0.195573
- 2022-02-12 14:18:09,271 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184495, best_loss=0.184387
- 2022-02-12 14:18:09,272 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66099786758423s
- 2022-02-12 14:18:09,272 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:18:09,272 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:18:09,272 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 911
- 2022-02-12 14:18:09,382 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172583 Loss2 0.334367
- 2022-02-12 14:18:24,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195439, best_loss=0.195573
- 2022-02-12 14:18:24,867 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:18:25,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184476, best_loss=0.184387
- 2022-02-12 14:18:25,939 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.667001724243164s
- 2022-02-12 14:18:25,939 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:18:25,939 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:18:25,939 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 912
- 2022-02-12 14:18:26,058 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166301 Loss2 0.348002
- 2022-02-12 14:18:41,506 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197088, best_loss=0.195439
- 2022-02-12 14:18:42,572 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184568, best_loss=0.184387
- 2022-02-12 14:18:42,573 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.633500576019287s
- 2022-02-12 14:18:42,573 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:18:42,573 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:18:42,573 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 913
- 2022-02-12 14:18:42,684 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165777 Loss2 0.341254
- 2022-02-12 14:18:58,196 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197211, best_loss=0.195439
- 2022-02-12 14:18:59,289 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184588, best_loss=0.184387
- 2022-02-12 14:18:59,290 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717029809951782s
- 2022-02-12 14:18:59,290 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:18:59,290 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:18:59,290 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 914
- 2022-02-12 14:18:59,397 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168217 Loss2 0.334921
- 2022-02-12 14:19:14,819 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197682, best_loss=0.195439
- 2022-02-12 14:19:15,890 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184585, best_loss=0.184387
- 2022-02-12 14:19:15,891 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.600471019744873s
- 2022-02-12 14:19:15,891 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:19:15,891 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:19:15,891 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 915
- 2022-02-12 14:19:15,998 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168424 Loss2 0.374204
- 2022-02-12 14:19:31,473 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197383, best_loss=0.195439
- 2022-02-12 14:19:32,550 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184445, best_loss=0.184387
- 2022-02-12 14:19:32,551 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.660000562667847s
- 2022-02-12 14:19:32,551 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:19:32,551 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:19:32,551 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 916
- 2022-02-12 14:19:32,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167777 Loss2 0.312617
- 2022-02-12 14:19:48,176 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197793, best_loss=0.195439
- 2022-02-12 14:19:49,258 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184471, best_loss=0.184387
- 2022-02-12 14:19:49,259 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.70750117301941s
- 2022-02-12 14:19:49,259 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:19:49,259 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:19:49,259 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 917
- 2022-02-12 14:19:49,370 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194301 Loss2 0.351578
- 2022-02-12 14:20:04,599 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197164, best_loss=0.195439
- 2022-02-12 14:20:05,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184540, best_loss=0.184387
- 2022-02-12 14:20:05,672 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.412999153137207s
- 2022-02-12 14:20:05,673 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:20:05,673 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:20:05,673 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 918
- 2022-02-12 14:20:05,779 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147459 Loss2 0.328694
- 2022-02-12 14:20:21,272 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196144, best_loss=0.195439
- 2022-02-12 14:20:22,325 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184501, best_loss=0.184387
- 2022-02-12 14:20:22,325 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.652501344680786s
- 2022-02-12 14:20:22,325 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:20:22,325 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:20:22,325 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 919
- 2022-02-12 14:20:22,440 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164705 Loss2 0.314051
- 2022-02-12 14:20:37,828 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197279, best_loss=0.195439
- 2022-02-12 14:20:38,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184308, best_loss=0.184387
- 2022-02-12 14:20:38,944 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:20:38,944 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.618999004364014s
- 2022-02-12 14:20:38,944 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:20:38,944 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:20:38,944 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 920
- 2022-02-12 14:20:39,066 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165455 Loss2 0.330746
- 2022-02-12 14:20:54,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197025, best_loss=0.195439
- 2022-02-12 14:20:55,601 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184265, best_loss=0.184308
- 2022-02-12 14:20:55,631 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:20:55,631 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68699884414673s
- 2022-02-12 14:20:55,631 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:20:55,631 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:20:55,631 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 921
- 2022-02-12 14:20:55,755 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169216 Loss2 0.339144
- 2022-02-12 14:21:11,117 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196028, best_loss=0.195439
- 2022-02-12 14:21:12,186 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184190, best_loss=0.184265
- 2022-02-12 14:21:12,215 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:21:12,216 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.584002256393433s
- 2022-02-12 14:21:12,216 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:21:12,216 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:21:12,216 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 922
- 2022-02-12 14:21:12,331 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177934 Loss2 0.374377
- 2022-02-12 14:21:27,891 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196585, best_loss=0.195439
- 2022-02-12 14:21:29,007 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184257, best_loss=0.184190
- 2022-02-12 14:21:29,008 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.791998386383057s
- 2022-02-12 14:21:29,008 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:21:29,008 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:21:29,008 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 923
- 2022-02-12 14:21:29,126 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169508 Loss2 0.350076
- 2022-02-12 14:21:44,468 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196126, best_loss=0.195439
- 2022-02-12 14:21:45,547 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184134, best_loss=0.184190
- 2022-02-12 14:21:45,577 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:21:45,577 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.569501161575317s
- 2022-02-12 14:21:45,577 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:21:45,577 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:21:45,577 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 924
- 2022-02-12 14:21:45,686 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153200 Loss2 0.305722
- 2022-02-12 14:22:01,040 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196854, best_loss=0.195439
- 2022-02-12 14:22:02,126 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184183, best_loss=0.184134
- 2022-02-12 14:22:02,127 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.549499988555908s
- 2022-02-12 14:22:02,127 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:22:02,127 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:22:02,127 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 925
- 2022-02-12 14:22:02,254 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150986 Loss2 0.311264
- 2022-02-12 14:22:17,689 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195663, best_loss=0.195439
- 2022-02-12 14:22:18,784 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184180, best_loss=0.184134
- 2022-02-12 14:22:18,784 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65749979019165s
- 2022-02-12 14:22:18,784 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:22:18,785 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:22:18,785 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 926
- 2022-02-12 14:22:18,909 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159220 Loss2 0.344843
- 2022-02-12 14:22:34,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197192, best_loss=0.195439
- 2022-02-12 14:22:35,473 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184133, best_loss=0.184134
- 2022-02-12 14:22:35,501 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:22:35,502 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717000007629395s
- 2022-02-12 14:22:35,502 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:22:35,502 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:22:35,502 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 927
- 2022-02-12 14:22:35,623 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171691 Loss2 0.365763
- 2022-02-12 14:22:51,157 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195715, best_loss=0.195439
- 2022-02-12 14:22:52,223 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184010, best_loss=0.184133
- 2022-02-12 14:22:52,251 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:22:52,252 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.749998569488525s
- 2022-02-12 14:22:52,252 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:22:52,252 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:22:52,252 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 928
- 2022-02-12 14:22:52,373 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176029 Loss2 0.346792
- 2022-02-12 14:23:08,167 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196137, best_loss=0.195439
- 2022-02-12 14:23:09,264 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183948, best_loss=0.184010
- 2022-02-12 14:23:09,292 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:23:09,293 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 17.040497303009033s
- 2022-02-12 14:23:09,293 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:23:09,293 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:23:09,293 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 929
- 2022-02-12 14:23:09,404 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166804 Loss2 0.331481
- 2022-02-12 14:23:24,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195737, best_loss=0.195439
- 2022-02-12 14:23:25,875 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.184031, best_loss=0.183948
- 2022-02-12 14:23:25,876 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58299994468689s
- 2022-02-12 14:23:25,876 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:23:25,876 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:23:25,876 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 930
- 2022-02-12 14:23:26,002 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164664 Loss2 0.343929
- 2022-02-12 14:23:41,573 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195831, best_loss=0.195439
- 2022-02-12 14:23:42,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183887, best_loss=0.183948
- 2022-02-12 14:23:42,663 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:23:42,664 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.788001775741577s
- 2022-02-12 14:23:42,664 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:23:42,664 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:23:42,664 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 931
- 2022-02-12 14:23:42,779 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153518 Loss2 0.312804
- 2022-02-12 14:23:58,267 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195647, best_loss=0.195439
- 2022-02-12 14:23:59,350 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183823, best_loss=0.183887
- 2022-02-12 14:23:59,380 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:23:59,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717000246047974s
- 2022-02-12 14:23:59,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:23:59,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:23:59,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 932
- 2022-02-12 14:23:59,521 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173423 Loss2 0.339695
- 2022-02-12 14:24:14,900 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196618, best_loss=0.195439
- 2022-02-12 14:24:15,963 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183781, best_loss=0.183823
- 2022-02-12 14:24:15,989 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:24:15,990 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60849928855896s
- 2022-02-12 14:24:15,990 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:24:15,990 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:24:15,990 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 933
- 2022-02-12 14:24:16,101 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172459 Loss2 0.354902
- 2022-02-12 14:24:31,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196767, best_loss=0.195439
- 2022-02-12 14:24:32,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183818, best_loss=0.183781
- 2022-02-12 14:24:32,617 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.62700080871582s
- 2022-02-12 14:24:32,617 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:24:32,617 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:24:32,617 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 934
- 2022-02-12 14:24:32,731 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162870 Loss2 0.351138
- 2022-02-12 14:24:48,185 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195876, best_loss=0.195439
- 2022-02-12 14:24:49,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183878, best_loss=0.183781
- 2022-02-12 14:24:49,266 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.648999452590942s
- 2022-02-12 14:24:49,266 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:24:49,266 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:24:49,267 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 935
- 2022-02-12 14:24:49,379 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162587 Loss2 0.304466
- 2022-02-12 14:25:04,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197123, best_loss=0.195439
- 2022-02-12 14:25:06,039 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183906, best_loss=0.183781
- 2022-02-12 14:25:06,039 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.77250075340271s
- 2022-02-12 14:25:06,039 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:25:06,039 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:25:06,040 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 936
- 2022-02-12 14:25:06,146 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169583 Loss2 0.348434
- 2022-02-12 14:25:21,573 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195700, best_loss=0.195439
- 2022-02-12 14:25:22,645 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183755, best_loss=0.183781
- 2022-02-12 14:25:22,672 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:25:22,673 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.632999897003174s
- 2022-02-12 14:25:22,673 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:25:22,673 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:25:22,673 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 937
- 2022-02-12 14:25:22,796 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169425 Loss2 0.339328
- 2022-02-12 14:25:38,435 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197316, best_loss=0.195439
- 2022-02-12 14:25:39,523 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183798, best_loss=0.183755
- 2022-02-12 14:25:39,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.850499153137207s
- 2022-02-12 14:25:39,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:25:39,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:25:39,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 938
- 2022-02-12 14:25:39,631 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169048 Loss2 0.307571
- 2022-02-12 14:25:55,152 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196957, best_loss=0.195439
- 2022-02-12 14:25:56,220 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183928, best_loss=0.183755
- 2022-02-12 14:25:56,220 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69700002670288s
- 2022-02-12 14:25:56,220 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:25:56,220 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:25:56,220 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 939
- 2022-02-12 14:25:56,329 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144396 Loss2 0.300001
- 2022-02-12 14:26:11,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199836, best_loss=0.195439
- 2022-02-12 14:26:12,883 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183852, best_loss=0.183755
- 2022-02-12 14:26:12,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.663001537322998s
- 2022-02-12 14:26:12,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:26:12,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:26:12,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 940
- 2022-02-12 14:26:13,009 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175954 Loss2 0.340623
- 2022-02-12 14:26:28,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195925, best_loss=0.195439
- 2022-02-12 14:26:29,523 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183877, best_loss=0.183755
- 2022-02-12 14:26:29,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.639998197555542s
- 2022-02-12 14:26:29,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:26:29,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:26:29,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 941
- 2022-02-12 14:26:29,639 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150571 Loss2 0.315222
- 2022-02-12 14:26:45,126 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197212, best_loss=0.195439
- 2022-02-12 14:26:46,202 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183821, best_loss=0.183755
- 2022-02-12 14:26:46,202 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.679001331329346s
- 2022-02-12 14:26:46,203 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:26:46,203 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:26:46,203 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 942
- 2022-02-12 14:26:46,335 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183024 Loss2 0.338675
- 2022-02-12 14:27:01,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196631, best_loss=0.195439
- 2022-02-12 14:27:02,784 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183902, best_loss=0.183755
- 2022-02-12 14:27:02,785 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.582000494003296s
- 2022-02-12 14:27:02,785 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:27:02,785 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:27:02,785 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 943
- 2022-02-12 14:27:02,909 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172230 Loss2 0.321699
- 2022-02-12 14:27:18,064 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195882, best_loss=0.195439
- 2022-02-12 14:27:19,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183933, best_loss=0.183755
- 2022-02-12 14:27:19,159 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.374000549316406s
- 2022-02-12 14:27:19,160 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:27:19,160 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:27:19,160 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 944
- 2022-02-12 14:27:19,278 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170354 Loss2 0.323113
- 2022-02-12 14:27:34,648 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195347, best_loss=0.195439
- 2022-02-12 14:27:34,678 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:27:35,755 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183972, best_loss=0.183755
- 2022-02-12 14:27:35,755 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.595500946044922s
- 2022-02-12 14:27:35,756 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:27:35,756 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:27:35,756 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 945
- 2022-02-12 14:27:35,869 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175983 Loss2 0.332918
- 2022-02-12 14:27:51,210 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196098, best_loss=0.195347
- 2022-02-12 14:27:52,282 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183911, best_loss=0.183755
- 2022-02-12 14:27:52,283 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.527501583099365s
- 2022-02-12 14:27:52,283 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:27:52,283 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:27:52,283 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 946
- 2022-02-12 14:27:52,392 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176608 Loss2 0.369972
- 2022-02-12 14:28:07,935 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196155, best_loss=0.195347
- 2022-02-12 14:28:09,027 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183885, best_loss=0.183755
- 2022-02-12 14:28:09,028 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.744497776031494s
- 2022-02-12 14:28:09,028 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:28:09,028 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:28:09,028 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 947
- 2022-02-12 14:28:09,149 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158233 Loss2 0.321117
- 2022-02-12 14:28:24,529 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195984, best_loss=0.195347
- 2022-02-12 14:28:25,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183918, best_loss=0.183755
- 2022-02-12 14:28:25,588 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.559499979019165s
- 2022-02-12 14:28:25,588 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:28:25,588 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:28:25,588 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 948
- 2022-02-12 14:28:25,704 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163210 Loss2 0.331626
- 2022-02-12 14:28:41,255 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196083, best_loss=0.195347
- 2022-02-12 14:28:42,329 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183794, best_loss=0.183755
- 2022-02-12 14:28:42,329 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.741501331329346s
- 2022-02-12 14:28:42,329 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:28:42,330 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:28:42,330 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 949
- 2022-02-12 14:28:42,462 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152226 Loss2 0.332820
- 2022-02-12 14:28:57,691 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197886, best_loss=0.195347
- 2022-02-12 14:28:58,795 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183797, best_loss=0.183755
- 2022-02-12 14:28:58,795 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46549940109253s
- 2022-02-12 14:28:58,795 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:28:58,795 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:28:58,795 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 950
- 2022-02-12 14:28:58,916 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161502 Loss2 0.330895
- 2022-02-12 14:29:14,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195322, best_loss=0.195347
- 2022-02-12 14:29:14,313 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:29:15,386 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183751, best_loss=0.183755
- 2022-02-12 14:29:15,414 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:29:15,415 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.619999885559082s
- 2022-02-12 14:29:15,415 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:29:15,415 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:29:15,415 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 951
- 2022-02-12 14:29:15,541 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178517 Loss2 0.365032
- 2022-02-12 14:29:30,992 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195741, best_loss=0.195322
- 2022-02-12 14:29:32,078 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183706, best_loss=0.183751
- 2022-02-12 14:29:32,106 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:29:32,106 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69100284576416s
- 2022-02-12 14:29:32,107 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:29:32,107 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:29:32,107 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 952
- 2022-02-12 14:29:32,220 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166815 Loss2 0.342173
- 2022-02-12 14:29:47,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196028, best_loss=0.195322
- 2022-02-12 14:29:48,719 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183820, best_loss=0.183706
- 2022-02-12 14:29:48,720 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.612998008728027s
- 2022-02-12 14:29:48,720 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:29:48,720 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:29:48,720 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 953
- 2022-02-12 14:29:48,840 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164938 Loss2 0.358658
- 2022-02-12 14:30:03,997 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195587, best_loss=0.195322
- 2022-02-12 14:30:05,069 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183784, best_loss=0.183706
- 2022-02-12 14:30:05,070 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.349499940872192s
- 2022-02-12 14:30:05,070 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:30:05,070 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:30:05,070 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 954
- 2022-02-12 14:30:05,182 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167227 Loss2 0.337792
- 2022-02-12 14:30:20,651 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196681, best_loss=0.195322
- 2022-02-12 14:30:21,722 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183758, best_loss=0.183706
- 2022-02-12 14:30:21,723 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.652531385421753s
- 2022-02-12 14:30:21,723 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:30:21,723 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:30:21,723 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 955
- 2022-02-12 14:30:21,833 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137299 Loss2 0.300898
- 2022-02-12 14:30:37,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195809, best_loss=0.195322
- 2022-02-12 14:30:38,379 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183783, best_loss=0.183706
- 2022-02-12 14:30:38,380 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.656967878341675s
- 2022-02-12 14:30:38,380 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:30:38,380 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:30:38,380 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 956
- 2022-02-12 14:30:38,496 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156582 Loss2 0.320516
- 2022-02-12 14:30:53,977 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195436, best_loss=0.195322
- 2022-02-12 14:30:55,044 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183620, best_loss=0.183706
- 2022-02-12 14:30:55,071 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:30:55,072 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.691499948501587s
- 2022-02-12 14:30:55,072 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:30:55,072 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:30:55,072 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 957
- 2022-02-12 14:30:55,192 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163978 Loss2 0.329888
- 2022-02-12 14:31:10,592 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195264, best_loss=0.195322
- 2022-02-12 14:31:10,620 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:31:11,696 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183565, best_loss=0.183620
- 2022-02-12 14:31:11,724 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:31:11,724 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65250301361084s
- 2022-02-12 14:31:11,724 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:31:11,724 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:31:11,725 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 958
- 2022-02-12 14:31:11,847 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181490 Loss2 0.346550
- 2022-02-12 14:31:27,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195008, best_loss=0.195264
- 2022-02-12 14:31:27,280 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:31:28,425 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183543, best_loss=0.183565
- 2022-02-12 14:31:28,455 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:31:28,456 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.730998992919922s
- 2022-02-12 14:31:28,456 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:31:28,456 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:31:28,456 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 959
- 2022-02-12 14:31:28,579 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187958 Loss2 0.372430
- 2022-02-12 14:31:44,096 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195747, best_loss=0.195008
- 2022-02-12 14:31:45,161 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183487, best_loss=0.183543
- 2022-02-12 14:31:45,187 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:31:45,188 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.731502294540405s
- 2022-02-12 14:31:45,188 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:31:45,188 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:31:45,188 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 960
- 2022-02-12 14:31:45,302 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163946 Loss2 0.314108
- 2022-02-12 14:32:00,779 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194846, best_loss=0.195008
- 2022-02-12 14:32:00,806 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:32:01,882 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183503, best_loss=0.183487
- 2022-02-12 14:32:01,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.693995237350464s
- 2022-02-12 14:32:01,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:32:01,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:32:01,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 961
- 2022-02-12 14:32:02,011 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153419 Loss2 0.322101
- 2022-02-12 14:32:17,477 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195201, best_loss=0.194846
- 2022-02-12 14:32:18,614 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183430, best_loss=0.183487
- 2022-02-12 14:32:18,641 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:32:18,641 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.758498668670654s
- 2022-02-12 14:32:18,642 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:32:18,642 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:32:18,642 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 962
- 2022-02-12 14:32:18,747 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167185 Loss2 0.351504
- 2022-02-12 14:32:34,106 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195861, best_loss=0.194846
- 2022-02-12 14:32:35,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183401, best_loss=0.183430
- 2022-02-12 14:32:35,203 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:32:35,204 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562002182006836s
- 2022-02-12 14:32:35,204 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:32:35,204 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:32:35,204 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 963
- 2022-02-12 14:32:35,322 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182255 Loss2 0.343389
- 2022-02-12 14:32:50,805 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195245, best_loss=0.194846
- 2022-02-12 14:32:51,902 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183346, best_loss=0.183401
- 2022-02-12 14:32:51,931 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:32:51,931 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.727001190185547s
- 2022-02-12 14:32:51,931 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:32:51,931 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:32:51,931 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 964
- 2022-02-12 14:32:52,046 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160286 Loss2 0.330476
- 2022-02-12 14:33:07,454 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195234, best_loss=0.194846
- 2022-02-12 14:33:08,556 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183321, best_loss=0.183346
- 2022-02-12 14:33:08,583 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:33:08,583 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65200161933899s
- 2022-02-12 14:33:08,583 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:33:08,583 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:33:08,583 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 965
- 2022-02-12 14:33:08,698 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175556 Loss2 0.362470
- 2022-02-12 14:33:24,130 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195836, best_loss=0.194846
- 2022-02-12 14:33:25,200 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183249, best_loss=0.183321
- 2022-02-12 14:33:25,227 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:33:25,228 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.644496202468872s
- 2022-02-12 14:33:25,228 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:33:25,228 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:33:25,228 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 966
- 2022-02-12 14:33:25,332 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162870 Loss2 0.327095
- 2022-02-12 14:33:40,857 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195590, best_loss=0.194846
- 2022-02-12 14:33:41,927 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183315, best_loss=0.183249
- 2022-02-12 14:33:41,927 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69949984550476s
- 2022-02-12 14:33:41,927 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:33:41,927 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:33:41,928 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 967
- 2022-02-12 14:33:42,041 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174731 Loss2 0.359725
- 2022-02-12 14:33:57,526 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194741, best_loss=0.194846
- 2022-02-12 14:33:57,556 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:33:58,645 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183319, best_loss=0.183249
- 2022-02-12 14:33:58,645 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717501640319824s
- 2022-02-12 14:33:58,645 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:33:58,646 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:33:58,646 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 968
- 2022-02-12 14:33:58,764 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158869 Loss2 0.344893
- 2022-02-12 14:34:14,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195300, best_loss=0.194741
- 2022-02-12 14:34:15,247 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183313, best_loss=0.183249
- 2022-02-12 14:34:15,248 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60199809074402s
- 2022-02-12 14:34:15,248 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:34:15,248 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:34:15,248 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 969
- 2022-02-12 14:34:15,363 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144861 Loss2 0.314653
- 2022-02-12 14:34:30,860 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195781, best_loss=0.194741
- 2022-02-12 14:34:31,919 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183333, best_loss=0.183249
- 2022-02-12 14:34:31,919 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67099928855896s
- 2022-02-12 14:34:31,919 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:34:31,919 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:34:31,919 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 970
- 2022-02-12 14:34:32,031 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166349 Loss2 0.352606
- 2022-02-12 14:34:47,602 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196238, best_loss=0.194741
- 2022-02-12 14:34:48,716 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183347, best_loss=0.183249
- 2022-02-12 14:34:48,717 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.797500133514404s
- 2022-02-12 14:34:48,717 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:34:48,717 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:34:48,717 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 971
- 2022-02-12 14:34:48,848 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173005 Loss2 0.318786
- 2022-02-12 14:35:04,354 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196068, best_loss=0.194741
- 2022-02-12 14:35:05,431 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183362, best_loss=0.183249
- 2022-02-12 14:35:05,432 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71499800682068s
- 2022-02-12 14:35:05,432 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:35:05,432 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:35:05,432 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 972
- 2022-02-12 14:35:05,545 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155235 Loss2 0.340802
- 2022-02-12 14:35:21,186 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195683, best_loss=0.194741
- 2022-02-12 14:35:22,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183018, best_loss=0.183249
- 2022-02-12 14:35:22,289 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:35:22,289 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.857500791549683s
- 2022-02-12 14:35:22,289 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:35:22,289 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:35:22,289 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 973
- 2022-02-12 14:35:22,416 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170808 Loss2 0.344297
- 2022-02-12 14:35:37,756 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194715, best_loss=0.194741
- 2022-02-12 14:35:37,784 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:35:38,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.183007, best_loss=0.183018
- 2022-02-12 14:35:38,877 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:35:38,877 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58750009536743s
- 2022-02-12 14:35:38,877 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:35:38,878 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:35:38,878 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 974
- 2022-02-12 14:35:38,994 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165274 Loss2 0.343276
- 2022-02-12 14:35:54,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194696, best_loss=0.194715
- 2022-02-12 14:35:54,541 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:35:55,610 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182956, best_loss=0.183007
- 2022-02-12 14:35:55,639 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:35:55,640 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.76200246810913s
- 2022-02-12 14:35:55,640 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:35:55,640 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:35:55,640 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 975
- 2022-02-12 14:35:55,776 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150753 Loss2 0.314351
- 2022-02-12 14:36:11,420 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195091, best_loss=0.194696
- 2022-02-12 14:36:12,501 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182819, best_loss=0.182956
- 2022-02-12 14:36:12,528 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:36:12,528 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.888500928878784s
- 2022-02-12 14:36:12,528 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:36:12,528 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:36:12,528 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 976
- 2022-02-12 14:36:12,651 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158868 Loss2 0.318919
- 2022-02-12 14:36:28,258 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195282, best_loss=0.194696
- 2022-02-12 14:36:29,343 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182667, best_loss=0.182819
- 2022-02-12 14:36:29,370 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:36:29,371 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.842500686645508s
- 2022-02-12 14:36:29,371 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:36:29,371 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:36:29,371 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 977
- 2022-02-12 14:36:29,485 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185691 Loss2 0.345523
- 2022-02-12 14:36:44,941 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194992, best_loss=0.194696
- 2022-02-12 14:36:46,017 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182723, best_loss=0.182667
- 2022-02-12 14:36:46,017 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64649534225464s
- 2022-02-12 14:36:46,017 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:36:46,017 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:36:46,017 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 978
- 2022-02-12 14:36:46,138 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175306 Loss2 0.347294
- 2022-02-12 14:37:01,730 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194670, best_loss=0.194696
- 2022-02-12 14:37:01,758 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:37:02,836 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182670, best_loss=0.182667
- 2022-02-12 14:37:02,837 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.819999933242798s
- 2022-02-12 14:37:02,837 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:37:02,837 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:37:02,837 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 979
- 2022-02-12 14:37:02,963 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137915 Loss2 0.303384
- 2022-02-12 14:37:18,427 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195247, best_loss=0.194670
- 2022-02-12 14:37:19,500 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182684, best_loss=0.182667
- 2022-02-12 14:37:19,500 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66300058364868s
- 2022-02-12 14:37:19,500 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:37:19,500 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:37:19,500 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 980
- 2022-02-12 14:37:19,619 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143157 Loss2 0.325983
- 2022-02-12 14:37:35,036 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195751, best_loss=0.194670
- 2022-02-12 14:37:36,108 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182664, best_loss=0.182667
- 2022-02-12 14:37:36,135 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:37:36,136 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.635499238967896s
- 2022-02-12 14:37:36,136 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:37:36,136 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:37:36,136 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 981
- 2022-02-12 14:37:36,255 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.203114 Loss2 0.360748
- 2022-02-12 14:37:51,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194740, best_loss=0.194670
- 2022-02-12 14:37:52,730 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182809, best_loss=0.182664
- 2022-02-12 14:37:52,731 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59500002861023s
- 2022-02-12 14:37:52,731 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:37:52,731 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:37:52,731 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 982
- 2022-02-12 14:37:52,843 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155905 Loss2 0.312285
- 2022-02-12 14:38:08,253 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195749, best_loss=0.194670
- 2022-02-12 14:38:09,315 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182788, best_loss=0.182664
- 2022-02-12 14:38:09,316 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58500075340271s
- 2022-02-12 14:38:09,316 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:38:09,316 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:38:09,316 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 983
- 2022-02-12 14:38:09,445 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162567 Loss2 0.293350
- 2022-02-12 14:38:24,918 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195417, best_loss=0.194670
- 2022-02-12 14:38:26,005 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182708, best_loss=0.182664
- 2022-02-12 14:38:26,006 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68999934196472s
- 2022-02-12 14:38:26,006 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:38:26,006 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:38:26,006 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 984
- 2022-02-12 14:38:26,109 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165608 Loss2 0.321255
- 2022-02-12 14:38:41,720 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195387, best_loss=0.194670
- 2022-02-12 14:38:42,792 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182697, best_loss=0.182664
- 2022-02-12 14:38:42,793 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.786999940872192s
- 2022-02-12 14:38:42,793 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:38:42,793 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:38:42,793 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 985
- 2022-02-12 14:38:42,905 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156432 Loss2 0.314305
- 2022-02-12 14:38:58,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195086, best_loss=0.194670
- 2022-02-12 14:38:59,568 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182716, best_loss=0.182664
- 2022-02-12 14:38:59,569 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.775500297546387s
- 2022-02-12 14:38:59,569 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:38:59,569 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:38:59,569 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 986
- 2022-02-12 14:38:59,693 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165760 Loss2 0.363899
- 2022-02-12 14:39:15,074 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195488, best_loss=0.194670
- 2022-02-12 14:39:16,135 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182697, best_loss=0.182664
- 2022-02-12 14:39:16,135 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.56599998474121s
- 2022-02-12 14:39:16,135 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:39:16,135 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:39:16,135 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 987
- 2022-02-12 14:39:16,248 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145551 Loss2 0.325548
- 2022-02-12 14:39:31,790 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195133, best_loss=0.194670
- 2022-02-12 14:39:32,854 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182709, best_loss=0.182664
- 2022-02-12 14:39:32,855 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.719503164291382s
- 2022-02-12 14:39:32,855 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:39:32,855 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:39:32,855 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 988
- 2022-02-12 14:39:32,976 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158851 Loss2 0.327887
- 2022-02-12 14:39:48,451 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196164, best_loss=0.194670
- 2022-02-12 14:39:49,535 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182600, best_loss=0.182664
- 2022-02-12 14:39:49,562 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:39:49,563 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.707499265670776s
- 2022-02-12 14:39:49,563 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:39:49,563 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:39:49,563 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 989
- 2022-02-12 14:39:49,673 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166025 Loss2 0.343167
- 2022-02-12 14:40:05,058 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195307, best_loss=0.194670
- 2022-02-12 14:40:06,135 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182598, best_loss=0.182600
- 2022-02-12 14:40:06,164 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:40:06,165 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60199761390686s
- 2022-02-12 14:40:06,165 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:40:06,165 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:40:06,165 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 990
- 2022-02-12 14:40:06,272 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182871 Loss2 0.341525
- 2022-02-12 14:40:21,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195754, best_loss=0.194670
- 2022-02-12 14:40:22,761 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182525, best_loss=0.182598
- 2022-02-12 14:40:22,789 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:40:22,789 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6240017414093s
- 2022-02-12 14:40:22,789 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:40:22,789 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:40:22,789 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 991
- 2022-02-12 14:40:22,896 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146617 Loss2 0.295583
- 2022-02-12 14:40:38,365 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196465, best_loss=0.194670
- 2022-02-12 14:40:39,449 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182583, best_loss=0.182525
- 2022-02-12 14:40:39,449 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65950059890747s
- 2022-02-12 14:40:39,449 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:40:39,449 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:40:39,449 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 992
- 2022-02-12 14:40:39,562 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157917 Loss2 0.351677
- 2022-02-12 14:40:54,979 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195887, best_loss=0.194670
- 2022-02-12 14:40:56,061 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182556, best_loss=0.182525
- 2022-02-12 14:40:56,061 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.611997842788696s
- 2022-02-12 14:40:56,061 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:40:56,061 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:40:56,061 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 993
- 2022-02-12 14:40:56,187 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178853 Loss2 0.338043
- 2022-02-12 14:41:11,736 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195006, best_loss=0.194670
- 2022-02-12 14:41:12,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182505, best_loss=0.182525
- 2022-02-12 14:41:12,837 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:41:12,837 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.77550220489502s
- 2022-02-12 14:41:12,838 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:41:12,838 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:41:12,838 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 994
- 2022-02-12 14:41:12,952 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185859 Loss2 0.368819
- 2022-02-12 14:41:28,576 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194862, best_loss=0.194670
- 2022-02-12 14:41:29,643 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182632, best_loss=0.182505
- 2022-02-12 14:41:29,644 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.805999755859375s
- 2022-02-12 14:41:29,644 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:41:29,644 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:41:29,644 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 995
- 2022-02-12 14:41:29,763 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173518 Loss2 0.364286
- 2022-02-12 14:41:45,142 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195619, best_loss=0.194670
- 2022-02-12 14:41:46,209 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182588, best_loss=0.182505
- 2022-02-12 14:41:46,210 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.565999746322632s
- 2022-02-12 14:41:46,210 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:41:46,210 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:41:46,210 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 996
- 2022-02-12 14:41:46,324 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158324 Loss2 0.345371
- 2022-02-12 14:42:01,782 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195376, best_loss=0.194670
- 2022-02-12 14:42:02,844 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182637, best_loss=0.182505
- 2022-02-12 14:42:02,845 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.635000705718994s
- 2022-02-12 14:42:02,845 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:42:02,845 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:42:02,845 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 997
- 2022-02-12 14:42:02,971 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177790 Loss2 0.385750
- 2022-02-12 14:42:18,479 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194867, best_loss=0.194670
- 2022-02-12 14:42:19,561 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182666, best_loss=0.182505
- 2022-02-12 14:42:19,561 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7160005569458s
- 2022-02-12 14:42:19,562 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:42:19,562 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:42:19,562 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 998
- 2022-02-12 14:42:19,689 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151006 Loss2 0.326231
- 2022-02-12 14:42:35,160 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195113, best_loss=0.194670
- 2022-02-12 14:42:36,228 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182608, best_loss=0.182505
- 2022-02-12 14:42:36,229 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.667500019073486s
- 2022-02-12 14:42:36,229 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:42:36,229 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:42:36,229 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 999
- 2022-02-12 14:42:36,349 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166966 Loss2 0.316764
- 2022-02-12 14:42:51,852 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195285, best_loss=0.194670
- 2022-02-12 14:42:52,913 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182531, best_loss=0.182505
- 2022-02-12 14:42:52,913 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68399953842163s
- 2022-02-12 14:42:52,913 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:42:52,989 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:42:52,989 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 0
- 2022-02-12 14:42:53,102 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150395 Loss2 0.355933
- 2022-02-12 14:43:08,691 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185845, best_loss=0.194670
- 2022-02-12 14:43:08,719 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:43:09,797 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182547, best_loss=0.182505
- 2022-02-12 14:43:09,797 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.808498859405518s
- 2022-02-12 14:43:09,797 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:43:09,797 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:43:09,797 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 1
- 2022-02-12 14:43:09,919 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143238 Loss2 0.346457
- 2022-02-12 14:43:25,305 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188471, best_loss=0.185845
- 2022-02-12 14:43:26,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182516, best_loss=0.182505
- 2022-02-12 14:43:26,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.584002256393433s
- 2022-02-12 14:43:26,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:43:26,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:43:26,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 2
- 2022-02-12 14:43:26,501 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161903 Loss2 0.315442
- 2022-02-12 14:43:41,956 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191725, best_loss=0.185845
- 2022-02-12 14:43:43,020 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182713, best_loss=0.182505
- 2022-02-12 14:43:43,021 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.639498949050903s
- 2022-02-12 14:43:43,021 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:43:43,021 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:43:43,021 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 3
- 2022-02-12 14:43:43,154 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165465 Loss2 0.357569
- 2022-02-12 14:43:58,706 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196482, best_loss=0.185845
- 2022-02-12 14:43:59,785 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182855, best_loss=0.182505
- 2022-02-12 14:43:59,785 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.76449942588806s
- 2022-02-12 14:43:59,785 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:43:59,785 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:43:59,785 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 4
- 2022-02-12 14:43:59,901 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175608 Loss2 0.352269
- 2022-02-12 14:44:15,238 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198914, best_loss=0.185845
- 2022-02-12 14:44:16,318 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182785, best_loss=0.182505
- 2022-02-12 14:44:16,319 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53300166130066s
- 2022-02-12 14:44:16,319 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:44:16,319 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:44:16,319 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 5
- 2022-02-12 14:44:16,436 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.184257 Loss2 0.371704
- 2022-02-12 14:44:32,118 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203410, best_loss=0.185845
- 2022-02-12 14:44:33,173 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182907, best_loss=0.182505
- 2022-02-12 14:44:33,173 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.85399842262268s
- 2022-02-12 14:44:33,173 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:44:33,173 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:44:33,173 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 6
- 2022-02-12 14:44:33,288 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167360 Loss2 0.328052
- 2022-02-12 14:44:48,823 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.207324, best_loss=0.185845
- 2022-02-12 14:44:49,904 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182808, best_loss=0.182505
- 2022-02-12 14:44:49,905 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.731501579284668s
- 2022-02-12 14:44:49,905 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:44:49,905 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:44:49,905 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 7
- 2022-02-12 14:44:50,016 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185472 Loss2 0.355182
- 2022-02-12 14:45:05,485 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.208694, best_loss=0.185845
- 2022-02-12 14:45:06,550 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182641, best_loss=0.182505
- 2022-02-12 14:45:06,550 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.644999742507935s
- 2022-02-12 14:45:06,550 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:45:06,550 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:45:06,551 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 8
- 2022-02-12 14:45:06,677 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.196533 Loss2 0.369820
- 2022-02-12 14:45:22,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.205322, best_loss=0.185845
- 2022-02-12 14:45:23,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182648, best_loss=0.182505
- 2022-02-12 14:45:23,266 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.715497970581055s
- 2022-02-12 14:45:23,266 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:45:23,267 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:45:23,267 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 9
- 2022-02-12 14:45:23,377 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158317 Loss2 0.331011
- 2022-02-12 14:45:38,984 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203051, best_loss=0.185845
- 2022-02-12 14:45:40,068 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182560, best_loss=0.182505
- 2022-02-12 14:45:40,069 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.802002429962158s
- 2022-02-12 14:45:40,069 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:45:40,069 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:45:40,069 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 10
- 2022-02-12 14:45:40,180 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175741 Loss2 0.332301
- 2022-02-12 14:45:55,511 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204290, best_loss=0.185845
- 2022-02-12 14:45:56,575 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182513, best_loss=0.182505
- 2022-02-12 14:45:56,575 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50649905204773s
- 2022-02-12 14:45:56,575 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:45:56,575 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:45:56,575 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 11
- 2022-02-12 14:45:56,691 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177632 Loss2 0.325577
- 2022-02-12 14:46:12,236 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204665, best_loss=0.185845
- 2022-02-12 14:46:13,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182438, best_loss=0.182505
- 2022-02-12 14:46:13,357 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:46:13,358 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.78299856185913s
- 2022-02-12 14:46:13,358 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:46:13,358 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:46:13,358 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 12
- 2022-02-12 14:46:13,485 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.194405 Loss2 0.357602
- 2022-02-12 14:46:29,197 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203710, best_loss=0.185845
- 2022-02-12 14:46:30,267 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182391, best_loss=0.182438
- 2022-02-12 14:46:30,296 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:46:30,296 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.93800163269043s
- 2022-02-12 14:46:30,296 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:46:30,296 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:46:30,296 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 13
- 2022-02-12 14:46:30,420 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165203 Loss2 0.324210
- 2022-02-12 14:46:45,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202967, best_loss=0.185845
- 2022-02-12 14:46:46,924 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182175, best_loss=0.182391
- 2022-02-12 14:46:46,953 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:46:46,954 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.657529592514038s
- 2022-02-12 14:46:46,954 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:46:46,954 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:46:46,954 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 14
- 2022-02-12 14:46:47,074 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174365 Loss2 0.332048
- 2022-02-12 14:47:02,637 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201872, best_loss=0.185845
- 2022-02-12 14:47:03,710 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182093, best_loss=0.182175
- 2022-02-12 14:47:03,742 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:47:03,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.788968801498413s
- 2022-02-12 14:47:03,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:47:03,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:47:03,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 15
- 2022-02-12 14:47:03,874 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155546 Loss2 0.290456
- 2022-02-12 14:47:19,422 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204253, best_loss=0.185845
- 2022-02-12 14:47:20,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182092, best_loss=0.182093
- 2022-02-12 14:47:20,527 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:47:20,527 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.784500122070312s
- 2022-02-12 14:47:20,527 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:47:20,527 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:47:20,527 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 16
- 2022-02-12 14:47:20,637 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183945 Loss2 0.357735
- 2022-02-12 14:47:36,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201862, best_loss=0.185845
- 2022-02-12 14:47:37,226 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181893, best_loss=0.182092
- 2022-02-12 14:47:37,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:47:37,254 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.727001905441284s
- 2022-02-12 14:47:37,254 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:47:37,254 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:47:37,255 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 17
- 2022-02-12 14:47:37,367 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173290 Loss2 0.325326
- 2022-02-12 14:47:52,874 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201411, best_loss=0.185845
- 2022-02-12 14:47:53,939 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181827, best_loss=0.181893
- 2022-02-12 14:47:53,967 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:47:53,968 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.712997674942017s
- 2022-02-12 14:47:53,968 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:47:53,968 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:47:53,968 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 18
- 2022-02-12 14:47:54,081 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175476 Loss2 0.365039
- 2022-02-12 14:48:09,538 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202497, best_loss=0.185845
- 2022-02-12 14:48:10,610 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181823, best_loss=0.181827
- 2022-02-12 14:48:10,637 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:48:10,638 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67050075531006s
- 2022-02-12 14:48:10,638 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:48:10,638 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:48:10,638 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 19
- 2022-02-12 14:48:10,760 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182332 Loss2 0.358013
- 2022-02-12 14:48:26,196 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203841, best_loss=0.185845
- 2022-02-12 14:48:27,263 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181843, best_loss=0.181823
- 2022-02-12 14:48:27,263 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.625000476837158s
- 2022-02-12 14:48:27,263 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:48:27,263 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:48:27,263 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 20
- 2022-02-12 14:48:27,375 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165320 Loss2 0.330086
- 2022-02-12 14:48:42,818 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202937, best_loss=0.185845
- 2022-02-12 14:48:43,891 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181731, best_loss=0.181823
- 2022-02-12 14:48:43,917 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:48:43,918 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65499973297119s
- 2022-02-12 14:48:43,918 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:48:43,918 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:48:43,918 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 21
- 2022-02-12 14:48:44,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197570 Loss2 0.369347
- 2022-02-12 14:48:59,578 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204126, best_loss=0.185845
- 2022-02-12 14:49:00,673 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181714, best_loss=0.181731
- 2022-02-12 14:49:00,704 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:49:00,705 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.786999225616455s
- 2022-02-12 14:49:00,705 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:49:00,705 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:49:00,705 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 22
- 2022-02-12 14:49:00,816 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181989 Loss2 0.366132
- 2022-02-12 14:49:16,318 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.203148, best_loss=0.185845
- 2022-02-12 14:49:17,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181773, best_loss=0.181714
- 2022-02-12 14:49:17,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.675501108169556s
- 2022-02-12 14:49:17,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:49:17,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:49:17,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 23
- 2022-02-12 14:49:17,501 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163097 Loss2 0.391243
- 2022-02-12 14:49:33,079 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202210, best_loss=0.185845
- 2022-02-12 14:49:34,150 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181695, best_loss=0.181714
- 2022-02-12 14:49:34,178 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:49:34,179 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.797499656677246s
- 2022-02-12 14:49:34,179 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:49:34,179 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:49:34,179 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 24
- 2022-02-12 14:49:34,284 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182876 Loss2 0.375294
- 2022-02-12 14:49:49,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202163, best_loss=0.185845
- 2022-02-12 14:49:50,881 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181606, best_loss=0.181695
- 2022-02-12 14:49:50,909 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:49:50,910 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.730998754501343s
- 2022-02-12 14:49:50,910 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:49:50,910 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:49:50,910 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 25
- 2022-02-12 14:49:51,023 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162596 Loss2 0.355054
- 2022-02-12 14:50:06,478 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200964, best_loss=0.185845
- 2022-02-12 14:50:07,561 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181467, best_loss=0.181606
- 2022-02-12 14:50:07,587 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:50:07,588 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67750072479248s
- 2022-02-12 14:50:07,588 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:50:07,588 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:50:07,588 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 26
- 2022-02-12 14:50:07,701 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157294 Loss2 0.302298
- 2022-02-12 14:50:23,297 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201468, best_loss=0.185845
- 2022-02-12 14:50:24,364 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181599, best_loss=0.181467
- 2022-02-12 14:50:24,365 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.777000665664673s
- 2022-02-12 14:50:24,365 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:50:24,365 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:50:24,365 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 27
- 2022-02-12 14:50:24,477 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169608 Loss2 0.341495
- 2022-02-12 14:50:39,869 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200990, best_loss=0.185845
- 2022-02-12 14:50:40,882 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181558, best_loss=0.181467
- 2022-02-12 14:50:40,882 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.517498016357422s
- 2022-02-12 14:50:40,882 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:50:40,882 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:50:40,882 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 28
- 2022-02-12 14:50:41,002 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190949 Loss2 0.376154
- 2022-02-12 14:50:56,299 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201581, best_loss=0.185845
- 2022-02-12 14:50:57,362 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181351, best_loss=0.181467
- 2022-02-12 14:50:57,392 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:50:57,393 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.510501861572266s
- 2022-02-12 14:50:57,393 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:50:57,393 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:50:57,393 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 29
- 2022-02-12 14:50:57,520 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160117 Loss2 0.340035
- 2022-02-12 14:51:12,921 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201724, best_loss=0.185845
- 2022-02-12 14:51:13,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181327, best_loss=0.181351
- 2022-02-12 14:51:14,024 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:51:14,024 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.631001710891724s
- 2022-02-12 14:51:14,024 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:51:14,025 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:51:14,025 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 30
- 2022-02-12 14:51:14,159 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177037 Loss2 0.384861
- 2022-02-12 14:51:29,752 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.206191, best_loss=0.185845
- 2022-02-12 14:51:30,833 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181370, best_loss=0.181327
- 2022-02-12 14:51:30,834 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.808998584747314s
- 2022-02-12 14:51:30,834 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:51:30,834 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:51:30,834 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 31
- 2022-02-12 14:51:30,945 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168043 Loss2 0.325888
- 2022-02-12 14:51:46,341 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200939, best_loss=0.185845
- 2022-02-12 14:51:47,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181284, best_loss=0.181327
- 2022-02-12 14:51:47,442 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:51:47,443 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60850167274475s
- 2022-02-12 14:51:47,443 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:51:47,443 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:51:47,443 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 32
- 2022-02-12 14:51:47,555 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170886 Loss2 0.335478
- 2022-02-12 14:52:03,085 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200210, best_loss=0.185845
- 2022-02-12 14:52:04,157 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181282, best_loss=0.181284
- 2022-02-12 14:52:04,184 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:52:04,185 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74199938774109s
- 2022-02-12 14:52:04,185 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:52:04,185 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:52:04,185 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 33
- 2022-02-12 14:52:04,303 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192514 Loss2 0.338480
- 2022-02-12 14:52:19,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199821, best_loss=0.185845
- 2022-02-12 14:52:20,749 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181212, best_loss=0.181282
- 2022-02-12 14:52:20,776 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:52:20,777 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.591999292373657s
- 2022-02-12 14:52:20,777 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:52:20,777 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:52:20,777 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 34
- 2022-02-12 14:52:20,896 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164620 Loss2 0.309706
- 2022-02-12 14:52:36,213 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201673, best_loss=0.185845
- 2022-02-12 14:52:37,292 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181260, best_loss=0.181212
- 2022-02-12 14:52:37,292 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.515500783920288s
- 2022-02-12 14:52:37,292 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:52:37,292 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:52:37,292 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 35
- 2022-02-12 14:52:37,411 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174644 Loss2 0.343496
- 2022-02-12 14:52:52,699 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200598, best_loss=0.185845
- 2022-02-12 14:52:53,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181319, best_loss=0.181212
- 2022-02-12 14:52:53,774 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.482000827789307s
- 2022-02-12 14:52:53,774 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:52:53,774 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:52:53,775 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 36
- 2022-02-12 14:52:53,898 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162808 Loss2 0.316855
- 2022-02-12 14:53:09,336 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201701, best_loss=0.185845
- 2022-02-12 14:53:10,411 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181314, best_loss=0.181212
- 2022-02-12 14:53:10,412 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.636998414993286s
- 2022-02-12 14:53:10,412 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:53:10,412 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:53:10,412 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 37
- 2022-02-12 14:53:10,528 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185531 Loss2 0.355025
- 2022-02-12 14:53:25,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201516, best_loss=0.185845
- 2022-02-12 14:53:26,959 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181148, best_loss=0.181212
- 2022-02-12 14:53:26,988 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:53:26,989 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.576499462127686s
- 2022-02-12 14:53:26,989 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:53:26,989 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:53:26,989 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 38
- 2022-02-12 14:53:27,099 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199459 Loss2 0.351403
- 2022-02-12 14:53:42,298 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199034, best_loss=0.185845
- 2022-02-12 14:53:43,377 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181064, best_loss=0.181148
- 2022-02-12 14:53:43,406 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:53:43,406 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.417499780654907s
- 2022-02-12 14:53:43,406 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:53:43,406 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:53:43,406 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 39
- 2022-02-12 14:53:43,516 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179280 Loss2 0.374918
- 2022-02-12 14:53:58,883 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200646, best_loss=0.185845
- 2022-02-12 14:53:59,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.181117, best_loss=0.181064
- 2022-02-12 14:53:59,970 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.563499927520752s
- 2022-02-12 14:53:59,970 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:53:59,970 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:53:59,970 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 40
- 2022-02-12 14:54:00,085 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182174 Loss2 0.344315
- 2022-02-12 14:54:15,448 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200879, best_loss=0.185845
- 2022-02-12 14:54:16,524 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180982, best_loss=0.181064
- 2022-02-12 14:54:16,552 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:54:16,552 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.582000494003296s
- 2022-02-12 14:54:16,552 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:54:16,553 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:54:16,553 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 41
- 2022-02-12 14:54:16,668 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172003 Loss2 0.318299
- 2022-02-12 14:54:31,916 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202309, best_loss=0.185845
- 2022-02-12 14:54:33,000 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180966, best_loss=0.180982
- 2022-02-12 14:54:33,029 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:54:33,030 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.477000951766968s
- 2022-02-12 14:54:33,030 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:54:33,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:54:33,030 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 42
- 2022-02-12 14:54:33,159 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173202 Loss2 0.341893
- 2022-02-12 14:54:48,480 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200975, best_loss=0.185845
- 2022-02-12 14:54:49,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180924, best_loss=0.180966
- 2022-02-12 14:54:49,581 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:54:49,582 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.552000045776367s
- 2022-02-12 14:54:49,582 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:54:49,582 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:54:49,582 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 43
- 2022-02-12 14:54:49,691 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173420 Loss2 0.364978
- 2022-02-12 14:55:04,949 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199247, best_loss=0.185845
- 2022-02-12 14:55:06,027 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180916, best_loss=0.180924
- 2022-02-12 14:55:06,055 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:55:06,055 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.47300434112549s
- 2022-02-12 14:55:06,055 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:55:06,055 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:55:06,055 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 44
- 2022-02-12 14:55:06,183 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154154 Loss2 0.308105
- 2022-02-12 14:55:21,546 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202213, best_loss=0.185845
- 2022-02-12 14:55:22,613 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180944, best_loss=0.180916
- 2022-02-12 14:55:22,614 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.558496952056885s
- 2022-02-12 14:55:22,614 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:55:22,614 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:55:22,614 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 45
- 2022-02-12 14:55:22,731 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154507 Loss2 0.287780
- 2022-02-12 14:55:38,182 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200039, best_loss=0.185845
- 2022-02-12 14:55:39,262 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180857, best_loss=0.180916
- 2022-02-12 14:55:39,290 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:55:39,291 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.676998376846313s
- 2022-02-12 14:55:39,291 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:55:39,291 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:55:39,291 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 46
- 2022-02-12 14:55:39,403 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177582 Loss2 0.356263
- 2022-02-12 14:55:54,797 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.204935, best_loss=0.185845
- 2022-02-12 14:55:55,878 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180870, best_loss=0.180857
- 2022-02-12 14:55:55,878 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58750033378601s
- 2022-02-12 14:55:55,878 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:55:55,878 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:55:55,878 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 47
- 2022-02-12 14:55:56,000 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.199367 Loss2 0.353111
- 2022-02-12 14:56:11,569 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201639, best_loss=0.185845
- 2022-02-12 14:56:12,630 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180761, best_loss=0.180857
- 2022-02-12 14:56:12,658 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:56:12,659 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.780999660491943s
- 2022-02-12 14:56:12,659 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:56:12,659 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:56:12,659 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 48
- 2022-02-12 14:56:12,770 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182430 Loss2 0.339065
- 2022-02-12 14:56:28,110 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200880, best_loss=0.185845
- 2022-02-12 14:56:29,196 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180774, best_loss=0.180761
- 2022-02-12 14:56:29,197 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5375018119812s
- 2022-02-12 14:56:29,197 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:56:29,197 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:56:29,197 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 49
- 2022-02-12 14:56:29,303 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186930 Loss2 0.394633
- 2022-02-12 14:56:44,608 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199429, best_loss=0.185845
- 2022-02-12 14:56:45,697 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180671, best_loss=0.180761
- 2022-02-12 14:56:45,726 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:56:45,726 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.529500722885132s
- 2022-02-12 14:56:45,726 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:56:45,727 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:56:45,727 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 50
- 2022-02-12 14:56:45,842 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170531 Loss2 0.333241
- 2022-02-12 14:57:01,331 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199582, best_loss=0.185845
- 2022-02-12 14:57:02,409 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180734, best_loss=0.180671
- 2022-02-12 14:57:02,409 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.682499885559082s
- 2022-02-12 14:57:02,409 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:57:02,409 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:57:02,409 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 51
- 2022-02-12 14:57:02,525 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164104 Loss2 0.303085
- 2022-02-12 14:57:17,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198938, best_loss=0.185845
- 2022-02-12 14:57:19,002 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180816, best_loss=0.180671
- 2022-02-12 14:57:19,003 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.593498706817627s
- 2022-02-12 14:57:19,003 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:57:19,003 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:57:19,003 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 52
- 2022-02-12 14:57:19,128 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151821 Loss2 0.316882
- 2022-02-12 14:57:34,500 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198464, best_loss=0.185845
- 2022-02-12 14:57:35,583 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180733, best_loss=0.180671
- 2022-02-12 14:57:35,584 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.580999851226807s
- 2022-02-12 14:57:35,584 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:57:35,584 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:57:35,584 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 53
- 2022-02-12 14:57:35,696 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177296 Loss2 0.339400
- 2022-02-12 14:57:51,017 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199086, best_loss=0.185845
- 2022-02-12 14:57:52,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180745, best_loss=0.180671
- 2022-02-12 14:57:52,093 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.509000778198242s
- 2022-02-12 14:57:52,093 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:57:52,093 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:57:52,093 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 54
- 2022-02-12 14:57:52,203 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182692 Loss2 0.355090
- 2022-02-12 14:58:07,769 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199420, best_loss=0.185845
- 2022-02-12 14:58:08,853 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180745, best_loss=0.180671
- 2022-02-12 14:58:08,853 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.760002613067627s
- 2022-02-12 14:58:08,853 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:58:08,853 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:58:08,854 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 55
- 2022-02-12 14:58:08,980 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164559 Loss2 0.313780
- 2022-02-12 14:58:24,181 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198948, best_loss=0.185845
- 2022-02-12 14:58:25,260 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180701, best_loss=0.180671
- 2022-02-12 14:58:25,260 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.406501054763794s
- 2022-02-12 14:58:25,260 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:58:25,260 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:58:25,260 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 56
- 2022-02-12 14:58:25,387 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180314 Loss2 0.314911
- 2022-02-12 14:58:40,873 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199457, best_loss=0.185845
- 2022-02-12 14:58:41,957 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180689, best_loss=0.180671
- 2022-02-12 14:58:41,957 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.696995496749878s
- 2022-02-12 14:58:41,957 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:58:41,957 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:58:41,958 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 57
- 2022-02-12 14:58:42,078 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185620 Loss2 0.359226
- 2022-02-12 14:58:57,307 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197753, best_loss=0.185845
- 2022-02-12 14:58:58,404 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180623, best_loss=0.180671
- 2022-02-12 14:58:58,431 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:58:58,431 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.473498582839966s
- 2022-02-12 14:58:58,431 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:58:58,431 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:58:58,431 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 58
- 2022-02-12 14:58:58,548 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175540 Loss2 0.344016
- 2022-02-12 14:59:13,772 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200142, best_loss=0.185845
- 2022-02-12 14:59:14,838 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180556, best_loss=0.180623
- 2022-02-12 14:59:14,867 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:59:14,868 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.436999797821045s
- 2022-02-12 14:59:14,868 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:59:14,868 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:59:14,868 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 59
- 2022-02-12 14:59:14,986 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164187 Loss2 0.342044
- 2022-02-12 14:59:30,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.200180, best_loss=0.185845
- 2022-02-12 14:59:31,301 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180485, best_loss=0.180556
- 2022-02-12 14:59:31,330 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 14:59:31,331 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.463001012802124s
- 2022-02-12 14:59:31,331 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:59:31,331 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:59:31,331 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 60
- 2022-02-12 14:59:31,448 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183635 Loss2 0.322633
- 2022-02-12 14:59:46,815 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198526, best_loss=0.185845
- 2022-02-12 14:59:47,956 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180599, best_loss=0.180485
- 2022-02-12 14:59:47,956 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.624999284744263s
- 2022-02-12 14:59:47,956 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 14:59:47,956 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 14:59:47,956 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 61
- 2022-02-12 14:59:48,092 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153873 Loss2 0.326530
- 2022-02-12 15:00:03,464 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198794, best_loss=0.185845
- 2022-02-12 15:00:04,532 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180542, best_loss=0.180485
- 2022-02-12 15:00:04,533 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.576499700546265s
- 2022-02-12 15:00:04,533 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:00:04,533 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:00:04,533 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 62
- 2022-02-12 15:00:04,661 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175553 Loss2 0.348944
- 2022-02-12 15:00:20,184 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199890, best_loss=0.185845
- 2022-02-12 15:00:21,258 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180559, best_loss=0.180485
- 2022-02-12 15:00:21,258 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.725500345230103s
- 2022-02-12 15:00:21,259 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:00:21,259 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:00:21,259 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 63
- 2022-02-12 15:00:21,375 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169488 Loss2 0.366794
- 2022-02-12 15:00:36,531 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199228, best_loss=0.185845
- 2022-02-12 15:00:37,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180573, best_loss=0.180485
- 2022-02-12 15:00:37,636 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.377500772476196s
- 2022-02-12 15:00:37,636 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:00:37,636 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:00:37,636 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 64
- 2022-02-12 15:00:37,761 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183843 Loss2 0.351035
- 2022-02-12 15:00:53,166 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198026, best_loss=0.185845
- 2022-02-12 15:00:54,237 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180600, best_loss=0.180485
- 2022-02-12 15:00:54,237 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.601001501083374s
- 2022-02-12 15:00:54,237 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:00:54,237 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:00:54,238 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 65
- 2022-02-12 15:00:54,345 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166191 Loss2 0.335957
- 2022-02-12 15:01:09,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197641, best_loss=0.185845
- 2022-02-12 15:01:10,766 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180681, best_loss=0.180485
- 2022-02-12 15:01:10,767 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.52899932861328s
- 2022-02-12 15:01:10,767 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:01:10,767 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:01:10,767 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 66
- 2022-02-12 15:01:10,884 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162043 Loss2 0.338158
- 2022-02-12 15:01:26,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197978, best_loss=0.185845
- 2022-02-12 15:01:27,295 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180580, best_loss=0.180485
- 2022-02-12 15:01:27,295 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.528501749038696s
- 2022-02-12 15:01:27,295 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:01:27,296 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:01:27,296 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 67
- 2022-02-12 15:01:27,426 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173669 Loss2 0.348593
- 2022-02-12 15:01:42,844 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198176, best_loss=0.185845
- 2022-02-12 15:01:43,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180686, best_loss=0.180485
- 2022-02-12 15:01:43,933 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63700032234192s
- 2022-02-12 15:01:43,933 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:01:43,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:01:43,933 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 68
- 2022-02-12 15:01:44,048 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180136 Loss2 0.361816
- 2022-02-12 15:01:59,603 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198428, best_loss=0.185845
- 2022-02-12 15:02:00,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180696, best_loss=0.180485
- 2022-02-12 15:02:00,683 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74999976158142s
- 2022-02-12 15:02:00,683 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:02:00,683 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:02:00,683 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 69
- 2022-02-12 15:02:00,804 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.214105 Loss2 0.353116
- 2022-02-12 15:02:15,960 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201483, best_loss=0.185845
- 2022-02-12 15:02:17,054 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180603, best_loss=0.180485
- 2022-02-12 15:02:17,054 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.371000051498413s
- 2022-02-12 15:02:17,054 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:02:17,055 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:02:17,055 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 70
- 2022-02-12 15:02:17,176 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177384 Loss2 0.388194
- 2022-02-12 15:02:32,389 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196509, best_loss=0.185845
- 2022-02-12 15:02:33,475 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180517, best_loss=0.180485
- 2022-02-12 15:02:33,475 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42050051689148s
- 2022-02-12 15:02:33,475 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:02:33,475 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:02:33,475 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 71
- 2022-02-12 15:02:33,587 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143355 Loss2 0.290387
- 2022-02-12 15:02:48,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199068, best_loss=0.185845
- 2022-02-12 15:02:49,896 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180414, best_loss=0.180485
- 2022-02-12 15:02:49,922 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:02:49,923 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44750142097473s
- 2022-02-12 15:02:49,923 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:02:49,923 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:02:49,923 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 72
- 2022-02-12 15:02:50,049 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162735 Loss2 0.325857
- 2022-02-12 15:03:05,228 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197442, best_loss=0.185845
- 2022-02-12 15:03:06,259 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180378, best_loss=0.180414
- 2022-02-12 15:03:06,290 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:03:06,291 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.36746883392334s
- 2022-02-12 15:03:06,291 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:03:06,291 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:03:06,291 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 73
- 2022-02-12 15:03:06,411 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158480 Loss2 0.338460
- 2022-02-12 15:03:21,859 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196770, best_loss=0.185845
- 2022-02-12 15:03:22,941 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180260, best_loss=0.180378
- 2022-02-12 15:03:22,968 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:03:22,968 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67749834060669s
- 2022-02-12 15:03:22,968 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:03:22,968 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:03:22,968 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 74
- 2022-02-12 15:03:23,080 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180468 Loss2 0.347010
- 2022-02-12 15:03:38,713 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197462, best_loss=0.185845
- 2022-02-12 15:03:39,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180256, best_loss=0.180260
- 2022-02-12 15:03:39,831 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:03:39,832 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.864001274108887s
- 2022-02-12 15:03:39,832 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:03:39,832 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:03:39,832 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 75
- 2022-02-12 15:03:39,948 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146640 Loss2 0.328820
- 2022-02-12 15:03:55,099 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197352, best_loss=0.185845
- 2022-02-12 15:03:56,188 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180268, best_loss=0.180256
- 2022-02-12 15:03:56,188 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.356000661849976s
- 2022-02-12 15:03:56,188 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:03:56,188 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:03:56,189 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 76
- 2022-02-12 15:03:56,306 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189791 Loss2 0.337029
- 2022-02-12 15:04:11,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198174, best_loss=0.185845
- 2022-02-12 15:04:12,891 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180209, best_loss=0.180256
- 2022-02-12 15:04:12,918 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:04:12,919 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.729999780654907s
- 2022-02-12 15:04:12,919 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:04:12,919 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:04:12,919 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 77
- 2022-02-12 15:04:13,037 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180302 Loss2 0.342040
- 2022-02-12 15:04:28,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197159, best_loss=0.185845
- 2022-02-12 15:04:29,511 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180125, best_loss=0.180209
- 2022-02-12 15:04:29,539 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:04:29,540 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.620501041412354s
- 2022-02-12 15:04:29,540 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:04:29,540 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:04:29,540 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 78
- 2022-02-12 15:04:29,650 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182155 Loss2 0.346115
- 2022-02-12 15:04:44,913 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197697, best_loss=0.185845
- 2022-02-12 15:04:46,003 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180076, best_loss=0.180125
- 2022-02-12 15:04:46,029 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:04:46,030 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.489500045776367s
- 2022-02-12 15:04:46,030 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:04:46,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:04:46,030 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 79
- 2022-02-12 15:04:46,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183840 Loss2 0.384175
- 2022-02-12 15:05:01,645 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196414, best_loss=0.185845
- 2022-02-12 15:05:02,712 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180035, best_loss=0.180076
- 2022-02-12 15:05:02,740 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:05:02,740 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.710499048233032s
- 2022-02-12 15:05:02,740 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:05:02,740 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:05:02,741 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 80
- 2022-02-12 15:05:02,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198196 Loss2 0.374963
- 2022-02-12 15:05:18,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196875, best_loss=0.185845
- 2022-02-12 15:05:19,522 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180062, best_loss=0.180035
- 2022-02-12 15:05:19,523 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.78200387954712s
- 2022-02-12 15:05:19,523 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:05:19,523 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:05:19,523 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 81
- 2022-02-12 15:05:19,642 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177184 Loss2 0.344243
- 2022-02-12 15:05:34,912 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198274, best_loss=0.185845
- 2022-02-12 15:05:35,987 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180070, best_loss=0.180035
- 2022-02-12 15:05:35,988 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.464497089385986s
- 2022-02-12 15:05:35,988 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:05:35,988 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:05:35,988 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 82
- 2022-02-12 15:05:36,105 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.202274 Loss2 0.373922
- 2022-02-12 15:05:51,394 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197855, best_loss=0.185845
- 2022-02-12 15:05:52,471 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180102, best_loss=0.180035
- 2022-02-12 15:05:52,471 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.482999801635742s
- 2022-02-12 15:05:52,471 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:05:52,471 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:05:52,471 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 83
- 2022-02-12 15:05:52,587 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178415 Loss2 0.348229
- 2022-02-12 15:06:08,170 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198145, best_loss=0.185845
- 2022-02-12 15:06:09,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180112, best_loss=0.180035
- 2022-02-12 15:06:09,248 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.776497840881348s
- 2022-02-12 15:06:09,248 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:06:09,248 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:06:09,249 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 84
- 2022-02-12 15:06:09,368 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161450 Loss2 0.361220
- 2022-02-12 15:06:24,669 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197166, best_loss=0.185845
- 2022-02-12 15:06:25,749 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180139, best_loss=0.180035
- 2022-02-12 15:06:25,749 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.500500202178955s
- 2022-02-12 15:06:25,750 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:06:25,750 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:06:25,750 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 85
- 2022-02-12 15:06:25,876 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162322 Loss2 0.339835
- 2022-02-12 15:06:41,337 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196646, best_loss=0.185845
- 2022-02-12 15:06:42,415 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180102, best_loss=0.180035
- 2022-02-12 15:06:42,416 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.666501998901367s
- 2022-02-12 15:06:42,416 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:06:42,416 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:06:42,416 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 86
- 2022-02-12 15:06:42,521 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181115 Loss2 0.333186
- 2022-02-12 15:06:58,054 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196114, best_loss=0.185845
- 2022-02-12 15:06:59,130 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180039, best_loss=0.180035
- 2022-02-12 15:06:59,131 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.714500188827515s
- 2022-02-12 15:06:59,131 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:06:59,131 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:06:59,131 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 87
- 2022-02-12 15:06:59,240 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165565 Loss2 0.328414
- 2022-02-12 15:07:14,573 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198277, best_loss=0.185845
- 2022-02-12 15:07:15,634 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180204, best_loss=0.180035
- 2022-02-12 15:07:15,634 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.502998113632202s
- 2022-02-12 15:07:15,634 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:07:15,634 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:07:15,634 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 88
- 2022-02-12 15:07:15,741 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176487 Loss2 0.343734
- 2022-02-12 15:07:31,051 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197036, best_loss=0.185845
- 2022-02-12 15:07:32,132 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180126, best_loss=0.180035
- 2022-02-12 15:07:32,132 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4975004196167s
- 2022-02-12 15:07:32,132 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:07:32,132 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:07:32,133 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 89
- 2022-02-12 15:07:32,247 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172450 Loss2 0.358068
- 2022-02-12 15:07:47,680 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196348, best_loss=0.185845
- 2022-02-12 15:07:48,770 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180153, best_loss=0.180035
- 2022-02-12 15:07:48,771 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63800048828125s
- 2022-02-12 15:07:48,771 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:07:48,771 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:07:48,771 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 90
- 2022-02-12 15:07:48,885 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183271 Loss2 0.335035
- 2022-02-12 15:08:04,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195856, best_loss=0.185845
- 2022-02-12 15:08:05,320 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180124, best_loss=0.180035
- 2022-02-12 15:08:05,321 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55049967765808s
- 2022-02-12 15:08:05,321 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:08:05,321 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:08:05,321 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 91
- 2022-02-12 15:08:05,431 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169492 Loss2 0.338352
- 2022-02-12 15:08:20,836 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195698, best_loss=0.185845
- 2022-02-12 15:08:21,923 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180118, best_loss=0.180035
- 2022-02-12 15:08:21,924 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.602498531341553s
- 2022-02-12 15:08:21,924 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:08:21,924 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:08:21,924 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 92
- 2022-02-12 15:08:22,039 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197113 Loss2 0.390271
- 2022-02-12 15:08:37,313 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196222, best_loss=0.185845
- 2022-02-12 15:08:38,376 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180024, best_loss=0.180035
- 2022-02-12 15:08:38,405 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:08:38,405 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.481504678726196s
- 2022-02-12 15:08:38,405 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:08:38,405 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:08:38,405 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 93
- 2022-02-12 15:08:38,514 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174641 Loss2 0.346680
- 2022-02-12 15:08:53,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195972, best_loss=0.185845
- 2022-02-12 15:08:54,791 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180129, best_loss=0.180024
- 2022-02-12 15:08:54,792 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.38649582862854s
- 2022-02-12 15:08:54,792 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:08:54,792 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:08:54,792 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 94
- 2022-02-12 15:08:54,906 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150248 Loss2 0.301014
- 2022-02-12 15:09:10,393 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196091, best_loss=0.185845
- 2022-02-12 15:09:11,474 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180089, best_loss=0.180024
- 2022-02-12 15:09:11,474 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.682499647140503s
- 2022-02-12 15:09:11,475 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:09:11,475 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:09:11,475 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 95
- 2022-02-12 15:09:11,593 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176066 Loss2 0.340135
- 2022-02-12 15:09:26,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195902, best_loss=0.185845
- 2022-02-12 15:09:28,054 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180068, best_loss=0.180024
- 2022-02-12 15:09:28,055 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.580002069473267s
- 2022-02-12 15:09:28,055 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:09:28,055 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:09:28,055 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 96
- 2022-02-12 15:09:28,167 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166612 Loss2 0.341271
- 2022-02-12 15:09:43,508 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197413, best_loss=0.185845
- 2022-02-12 15:09:44,592 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180033, best_loss=0.180024
- 2022-02-12 15:09:44,592 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.537498235702515s
- 2022-02-12 15:09:44,592 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:09:44,592 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:09:44,592 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 97
- 2022-02-12 15:09:44,712 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175939 Loss2 0.334637
- 2022-02-12 15:10:00,243 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194538, best_loss=0.185845
- 2022-02-12 15:10:01,327 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179888, best_loss=0.180024
- 2022-02-12 15:10:01,358 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:10:01,358 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.766000032424927s
- 2022-02-12 15:10:01,358 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:10:01,358 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:10:01,359 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 98
- 2022-02-12 15:10:01,468 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160406 Loss2 0.328121
- 2022-02-12 15:10:16,781 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195331, best_loss=0.185845
- 2022-02-12 15:10:17,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180101, best_loss=0.179888
- 2022-02-12 15:10:17,857 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4985032081604s
- 2022-02-12 15:10:17,857 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:10:17,857 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:10:17,857 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 99
- 2022-02-12 15:10:17,970 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157062 Loss2 0.337029
- 2022-02-12 15:10:33,352 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195846, best_loss=0.185845
- 2022-02-12 15:10:34,438 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180042, best_loss=0.179888
- 2022-02-12 15:10:34,439 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.581499338150024s
- 2022-02-12 15:10:34,439 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:10:34,439 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:10:34,439 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 100
- 2022-02-12 15:10:34,565 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157541 Loss2 0.354558
- 2022-02-12 15:10:49,953 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196297, best_loss=0.185845
- 2022-02-12 15:10:51,028 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179897, best_loss=0.179888
- 2022-02-12 15:10:51,029 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58949851989746s
- 2022-02-12 15:10:51,029 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:10:51,029 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:10:51,029 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 101
- 2022-02-12 15:10:51,145 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137606 Loss2 0.286180
- 2022-02-12 15:11:06,426 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195115, best_loss=0.185845
- 2022-02-12 15:11:07,495 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179940, best_loss=0.179888
- 2022-02-12 15:11:07,495 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.466500997543335s
- 2022-02-12 15:11:07,495 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:11:07,496 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:11:07,496 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 102
- 2022-02-12 15:11:07,604 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165997 Loss2 0.313276
- 2022-02-12 15:11:22,967 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195651, best_loss=0.185845
- 2022-02-12 15:11:24,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179906, best_loss=0.179888
- 2022-02-12 15:11:24,060 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.563998699188232s
- 2022-02-12 15:11:24,060 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:11:24,060 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:11:24,060 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 103
- 2022-02-12 15:11:24,179 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176115 Loss2 0.346414
- 2022-02-12 15:11:39,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194246, best_loss=0.185845
- 2022-02-12 15:11:40,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180020, best_loss=0.179888
- 2022-02-12 15:11:40,595 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.534499645233154s
- 2022-02-12 15:11:40,595 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:11:40,595 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:11:40,595 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 104
- 2022-02-12 15:11:40,705 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179235 Loss2 0.365496
- 2022-02-12 15:11:56,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195214, best_loss=0.185845
- 2022-02-12 15:11:57,359 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180111, best_loss=0.179888
- 2022-02-12 15:11:57,359 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.76450228691101s
- 2022-02-12 15:11:57,359 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:11:57,360 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:11:57,360 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 105
- 2022-02-12 15:11:57,470 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178150 Loss2 0.353080
- 2022-02-12 15:12:12,700 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196854, best_loss=0.185845
- 2022-02-12 15:12:13,787 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179982, best_loss=0.179888
- 2022-02-12 15:12:13,787 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.427497625350952s
- 2022-02-12 15:12:13,787 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:12:13,787 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:12:13,787 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 106
- 2022-02-12 15:12:13,905 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163207 Loss2 0.382295
- 2022-02-12 15:12:29,325 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195554, best_loss=0.185845
- 2022-02-12 15:12:30,401 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180071, best_loss=0.179888
- 2022-02-12 15:12:30,401 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.613500118255615s
- 2022-02-12 15:12:30,402 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:12:30,402 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:12:30,402 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 107
- 2022-02-12 15:12:30,532 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168303 Loss2 0.364714
- 2022-02-12 15:12:45,993 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195732, best_loss=0.185845
- 2022-02-12 15:12:47,054 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179971, best_loss=0.179888
- 2022-02-12 15:12:47,055 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.653003215789795s
- 2022-02-12 15:12:47,055 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:12:47,055 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:12:47,055 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 108
- 2022-02-12 15:12:47,174 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167299 Loss2 0.316687
- 2022-02-12 15:13:02,501 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196067, best_loss=0.185845
- 2022-02-12 15:13:03,588 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180009, best_loss=0.179888
- 2022-02-12 15:13:03,589 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.533997297286987s
- 2022-02-12 15:13:03,589 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:13:03,589 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:13:03,589 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 109
- 2022-02-12 15:13:03,713 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182309 Loss2 0.355971
- 2022-02-12 15:13:19,215 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193860, best_loss=0.185845
- 2022-02-12 15:13:20,289 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179849, best_loss=0.179888
- 2022-02-12 15:13:20,317 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:13:20,317 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.728002548217773s
- 2022-02-12 15:13:20,317 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:13:20,317 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:13:20,317 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 110
- 2022-02-12 15:13:20,432 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166330 Loss2 0.348665
- 2022-02-12 15:13:35,836 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195504, best_loss=0.185845
- 2022-02-12 15:13:36,918 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179857, best_loss=0.179849
- 2022-02-12 15:13:36,918 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.601000547409058s
- 2022-02-12 15:13:36,918 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:13:36,918 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:13:36,918 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 111
- 2022-02-12 15:13:37,041 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180389 Loss2 0.363708
- 2022-02-12 15:13:52,345 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194849, best_loss=0.185845
- 2022-02-12 15:13:53,384 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179914, best_loss=0.179849
- 2022-02-12 15:13:53,384 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46599793434143s
- 2022-02-12 15:13:53,385 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:13:53,385 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:13:53,385 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 112
- 2022-02-12 15:13:53,499 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170248 Loss2 0.352183
- 2022-02-12 15:14:08,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197151, best_loss=0.185845
- 2022-02-12 15:14:09,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179954, best_loss=0.179849
- 2022-02-12 15:14:09,865 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.479998111724854s
- 2022-02-12 15:14:09,865 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:14:09,865 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:14:09,865 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 113
- 2022-02-12 15:14:09,983 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161345 Loss2 0.326107
- 2022-02-12 15:14:25,375 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195318, best_loss=0.185845
- 2022-02-12 15:14:26,448 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179841, best_loss=0.179849
- 2022-02-12 15:14:26,474 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:14:26,475 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60949993133545s
- 2022-02-12 15:14:26,475 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:14:26,475 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:14:26,475 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 114
- 2022-02-12 15:14:26,585 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169006 Loss2 0.346814
- 2022-02-12 15:14:41,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194021, best_loss=0.185845
- 2022-02-12 15:14:42,910 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179978, best_loss=0.179841
- 2022-02-12 15:14:42,910 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.435002088546753s
- 2022-02-12 15:14:42,911 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:14:42,911 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:14:42,911 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 115
- 2022-02-12 15:14:43,021 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183187 Loss2 0.359861
- 2022-02-12 15:14:58,558 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194371, best_loss=0.185845
- 2022-02-12 15:14:59,633 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179864, best_loss=0.179841
- 2022-02-12 15:14:59,634 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.723498582839966s
- 2022-02-12 15:14:59,634 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:14:59,634 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:14:59,634 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 116
- 2022-02-12 15:14:59,757 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166251 Loss2 0.339174
- 2022-02-12 15:15:15,180 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194744, best_loss=0.185845
- 2022-02-12 15:15:16,245 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179838, best_loss=0.179841
- 2022-02-12 15:15:16,272 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:15:16,273 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.639000415802002s
- 2022-02-12 15:15:16,273 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:15:16,273 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:15:16,273 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 117
- 2022-02-12 15:15:16,381 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178646 Loss2 0.353949
- 2022-02-12 15:15:31,741 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194498, best_loss=0.185845
- 2022-02-12 15:15:32,805 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179918, best_loss=0.179838
- 2022-02-12 15:15:32,805 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.531999588012695s
- 2022-02-12 15:15:32,805 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:15:32,806 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:15:32,806 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 118
- 2022-02-12 15:15:32,920 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174253 Loss2 0.361032
- 2022-02-12 15:15:48,526 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194849, best_loss=0.185845
- 2022-02-12 15:15:49,597 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179935, best_loss=0.179838
- 2022-02-12 15:15:49,597 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.791500568389893s
- 2022-02-12 15:15:49,597 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:15:49,597 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:15:49,597 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 119
- 2022-02-12 15:15:49,709 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171735 Loss2 0.365631
- 2022-02-12 15:16:05,084 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193836, best_loss=0.185845
- 2022-02-12 15:16:06,158 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179956, best_loss=0.179838
- 2022-02-12 15:16:06,159 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.56200122833252s
- 2022-02-12 15:16:06,159 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:16:06,159 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:16:06,159 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 120
- 2022-02-12 15:16:06,274 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164153 Loss2 0.345137
- 2022-02-12 15:16:21,560 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194332, best_loss=0.185845
- 2022-02-12 15:16:22,639 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179817, best_loss=0.179838
- 2022-02-12 15:16:22,669 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:16:22,670 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.510998487472534s
- 2022-02-12 15:16:22,670 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:16:22,670 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:16:22,670 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 121
- 2022-02-12 15:16:22,790 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167862 Loss2 0.365153
- 2022-02-12 15:16:38,212 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194399, best_loss=0.185845
- 2022-02-12 15:16:39,280 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179823, best_loss=0.179817
- 2022-02-12 15:16:39,280 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.609999895095825s
- 2022-02-12 15:16:39,280 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:16:39,280 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:16:39,280 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 122
- 2022-02-12 15:16:39,395 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139336 Loss2 0.280705
- 2022-02-12 15:16:54,655 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193587, best_loss=0.185845
- 2022-02-12 15:16:55,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179849, best_loss=0.179817
- 2022-02-12 15:16:55,745 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.464500665664673s
- 2022-02-12 15:16:55,745 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:16:55,745 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:16:55,745 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 123
- 2022-02-12 15:16:55,871 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161995 Loss2 0.335150
- 2022-02-12 15:17:11,194 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195759, best_loss=0.185845
- 2022-02-12 15:17:12,289 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179894, best_loss=0.179817
- 2022-02-12 15:17:12,289 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.544000148773193s
- 2022-02-12 15:17:12,289 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:17:12,290 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:17:12,290 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 124
- 2022-02-12 15:17:12,410 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168249 Loss2 0.328877
- 2022-02-12 15:17:27,652 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194065, best_loss=0.185845
- 2022-02-12 15:17:28,717 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179820, best_loss=0.179817
- 2022-02-12 15:17:28,718 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.428001642227173s
- 2022-02-12 15:17:28,718 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:17:28,718 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:17:28,718 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 125
- 2022-02-12 15:17:28,831 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148637 Loss2 0.310408
- 2022-02-12 15:17:44,332 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193573, best_loss=0.185845
- 2022-02-12 15:17:45,414 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179940, best_loss=0.179817
- 2022-02-12 15:17:45,414 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69599747657776s
- 2022-02-12 15:17:45,414 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:17:45,414 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:17:45,414 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 126
- 2022-02-12 15:17:45,536 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170573 Loss2 0.365299
- 2022-02-12 15:18:00,768 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193686, best_loss=0.185845
- 2022-02-12 15:18:01,858 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179906, best_loss=0.179817
- 2022-02-12 15:18:01,858 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4440016746521s
- 2022-02-12 15:18:01,858 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:18:01,859 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:18:01,859 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 127
- 2022-02-12 15:18:01,973 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181745 Loss2 0.324606
- 2022-02-12 15:18:17,394 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192665, best_loss=0.185845
- 2022-02-12 15:18:18,471 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179963, best_loss=0.179817
- 2022-02-12 15:18:18,472 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.612998485565186s
- 2022-02-12 15:18:18,472 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:18:18,472 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:18:18,472 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 128
- 2022-02-12 15:18:18,587 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168207 Loss2 0.343363
- 2022-02-12 15:18:33,950 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193504, best_loss=0.185845
- 2022-02-12 15:18:35,029 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180024, best_loss=0.179817
- 2022-02-12 15:18:35,030 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55799913406372s
- 2022-02-12 15:18:35,030 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:18:35,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:18:35,030 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 129
- 2022-02-12 15:18:35,150 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161294 Loss2 0.334975
- 2022-02-12 15:18:50,603 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194234, best_loss=0.185845
- 2022-02-12 15:18:51,682 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179990, best_loss=0.179817
- 2022-02-12 15:18:51,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65200138092041s
- 2022-02-12 15:18:51,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:18:51,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:18:51,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 130
- 2022-02-12 15:18:51,794 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161525 Loss2 0.319866
- 2022-02-12 15:19:07,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194570, best_loss=0.185845
- 2022-02-12 15:19:08,379 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179977, best_loss=0.179817
- 2022-02-12 15:19:08,380 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.696998596191406s
- 2022-02-12 15:19:08,380 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:19:08,380 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:19:08,380 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 131
- 2022-02-12 15:19:08,499 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172066 Loss2 0.350505
- 2022-02-12 15:19:24,014 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194101, best_loss=0.185845
- 2022-02-12 15:19:25,083 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179960, best_loss=0.179817
- 2022-02-12 15:19:25,083 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.70350193977356s
- 2022-02-12 15:19:25,083 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:19:25,083 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:19:25,083 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 132
- 2022-02-12 15:19:25,191 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170630 Loss2 0.352617
- 2022-02-12 15:19:40,495 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192886, best_loss=0.185845
- 2022-02-12 15:19:41,571 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180004, best_loss=0.179817
- 2022-02-12 15:19:41,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.48799991607666s
- 2022-02-12 15:19:41,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:19:41,571 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:19:41,571 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 133
- 2022-02-12 15:19:41,688 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163450 Loss2 0.326722
- 2022-02-12 15:19:57,153 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192334, best_loss=0.185845
- 2022-02-12 15:19:58,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179948, best_loss=0.179817
- 2022-02-12 15:19:58,228 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.656498432159424s
- 2022-02-12 15:19:58,228 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:19:58,228 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:19:58,228 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 134
- 2022-02-12 15:19:58,349 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162814 Loss2 0.297309
- 2022-02-12 15:20:13,856 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192886, best_loss=0.185845
- 2022-02-12 15:20:14,943 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179938, best_loss=0.179817
- 2022-02-12 15:20:14,944 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71600079536438s
- 2022-02-12 15:20:14,944 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:20:14,944 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:20:14,944 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 135
- 2022-02-12 15:20:15,064 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171682 Loss2 0.326997
- 2022-02-12 15:20:30,374 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192791, best_loss=0.185845
- 2022-02-12 15:20:31,440 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180042, best_loss=0.179817
- 2022-02-12 15:20:31,441 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.496500492095947s
- 2022-02-12 15:20:31,441 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:20:31,441 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:20:31,441 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 136
- 2022-02-12 15:20:31,553 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158742 Loss2 0.342541
- 2022-02-12 15:20:47,106 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193473, best_loss=0.185845
- 2022-02-12 15:20:48,211 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179958, best_loss=0.179817
- 2022-02-12 15:20:48,212 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.77049994468689s
- 2022-02-12 15:20:48,212 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:20:48,212 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:20:48,212 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 137
- 2022-02-12 15:20:48,341 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.128867 Loss2 0.267617
- 2022-02-12 15:21:03,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193138, best_loss=0.185845
- 2022-02-12 15:21:05,002 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179948, best_loss=0.179817
- 2022-02-12 15:21:05,003 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.791499614715576s
- 2022-02-12 15:21:05,003 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:21:05,003 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:21:05,003 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 138
- 2022-02-12 15:21:05,115 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154626 Loss2 0.331493
- 2022-02-12 15:21:20,354 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193058, best_loss=0.185845
- 2022-02-12 15:21:21,435 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179893, best_loss=0.179817
- 2022-02-12 15:21:21,435 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.432000398635864s
- 2022-02-12 15:21:21,435 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:21:21,436 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:21:21,436 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 139
- 2022-02-12 15:21:21,548 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165004 Loss2 0.342325
- 2022-02-12 15:21:36,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194328, best_loss=0.185845
- 2022-02-12 15:21:38,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179892, best_loss=0.179817
- 2022-02-12 15:21:38,059 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.623498678207397s
- 2022-02-12 15:21:38,059 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:21:38,059 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:21:38,059 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 140
- 2022-02-12 15:21:38,183 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142172 Loss2 0.326654
- 2022-02-12 15:21:53,673 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193728, best_loss=0.185845
- 2022-02-12 15:21:54,739 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179911, best_loss=0.179817
- 2022-02-12 15:21:54,739 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.680001974105835s
- 2022-02-12 15:21:54,740 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:21:54,740 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:21:54,740 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 141
- 2022-02-12 15:21:54,863 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181738 Loss2 0.386478
- 2022-02-12 15:22:10,288 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194504, best_loss=0.185845
- 2022-02-12 15:22:11,363 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179958, best_loss=0.179817
- 2022-02-12 15:22:11,363 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.623500108718872s
- 2022-02-12 15:22:11,364 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:22:11,364 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:22:11,364 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 142
- 2022-02-12 15:22:11,471 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158407 Loss2 0.340824
- 2022-02-12 15:22:26,711 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192621, best_loss=0.185845
- 2022-02-12 15:22:27,798 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179875, best_loss=0.179817
- 2022-02-12 15:22:27,799 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.435001134872437s
- 2022-02-12 15:22:27,799 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:22:27,799 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:22:27,799 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 143
- 2022-02-12 15:22:27,916 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164914 Loss2 0.347729
- 2022-02-12 15:22:43,313 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191878, best_loss=0.185845
- 2022-02-12 15:22:44,389 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179965, best_loss=0.179817
- 2022-02-12 15:22:44,390 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.591498136520386s
- 2022-02-12 15:22:44,390 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:22:44,390 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:22:44,390 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 144
- 2022-02-12 15:22:44,502 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162489 Loss2 0.343994
- 2022-02-12 15:22:59,704 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192715, best_loss=0.185845
- 2022-02-12 15:23:00,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180049, best_loss=0.179817
- 2022-02-12 15:23:00,778 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.388001680374146s
- 2022-02-12 15:23:00,779 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:23:00,779 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:23:00,779 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 145
- 2022-02-12 15:23:00,897 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165044 Loss2 0.329359
- 2022-02-12 15:23:16,274 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193415, best_loss=0.185845
- 2022-02-12 15:23:17,356 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179887, best_loss=0.179817
- 2022-02-12 15:23:17,357 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.578498601913452s
- 2022-02-12 15:23:17,357 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:23:17,357 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:23:17,357 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 146
- 2022-02-12 15:23:17,474 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156261 Loss2 0.324783
- 2022-02-12 15:23:32,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191818, best_loss=0.185845
- 2022-02-12 15:23:33,897 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179918, best_loss=0.179817
- 2022-02-12 15:23:33,898 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.540001153945923s
- 2022-02-12 15:23:33,898 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:23:33,898 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:23:33,898 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 147
- 2022-02-12 15:23:34,030 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165464 Loss2 0.329699
- 2022-02-12 15:23:49,178 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191758, best_loss=0.185845
- 2022-02-12 15:23:50,249 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179876, best_loss=0.179817
- 2022-02-12 15:23:50,250 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.35199761390686s
- 2022-02-12 15:23:50,250 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:23:50,250 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:23:50,250 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 148
- 2022-02-12 15:23:50,367 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160595 Loss2 0.334234
- 2022-02-12 15:24:05,756 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192710, best_loss=0.185845
- 2022-02-12 15:24:06,829 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180018, best_loss=0.179817
- 2022-02-12 15:24:06,830 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.579999923706055s
- 2022-02-12 15:24:06,830 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:24:06,830 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:24:06,830 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 149
- 2022-02-12 15:24:06,950 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165963 Loss2 0.313955
- 2022-02-12 15:24:22,265 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191969, best_loss=0.185845
- 2022-02-12 15:24:23,382 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179928, best_loss=0.179817
- 2022-02-12 15:24:23,382 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55250120162964s
- 2022-02-12 15:24:23,382 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:24:23,382 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:24:23,382 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 150
- 2022-02-12 15:24:23,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158738 Loss2 0.321773
- 2022-02-12 15:24:38,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194337, best_loss=0.185845
- 2022-02-12 15:24:39,944 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179998, best_loss=0.179817
- 2022-02-12 15:24:39,945 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562501668930054s
- 2022-02-12 15:24:39,945 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:24:39,945 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:24:39,945 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 151
- 2022-02-12 15:24:40,066 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173747 Loss2 0.339875
- 2022-02-12 15:24:55,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192195, best_loss=0.185845
- 2022-02-12 15:24:56,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180032, best_loss=0.179817
- 2022-02-12 15:24:56,316 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.370999336242676s
- 2022-02-12 15:24:56,316 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:24:56,316 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:24:56,316 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 152
- 2022-02-12 15:24:56,429 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169985 Loss2 0.334080
- 2022-02-12 15:25:11,656 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191294, best_loss=0.185845
- 2022-02-12 15:25:12,768 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180129, best_loss=0.179817
- 2022-02-12 15:25:12,769 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.452998399734497s
- 2022-02-12 15:25:12,769 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:25:12,769 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:25:12,769 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 153
- 2022-02-12 15:25:12,878 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158257 Loss2 0.360442
- 2022-02-12 15:25:28,218 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192485, best_loss=0.185845
- 2022-02-12 15:25:29,301 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180116, best_loss=0.179817
- 2022-02-12 15:25:29,301 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53200054168701s
- 2022-02-12 15:25:29,301 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:25:29,301 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:25:29,301 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 154
- 2022-02-12 15:25:29,409 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161018 Loss2 0.339969
- 2022-02-12 15:25:44,840 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191868, best_loss=0.185845
- 2022-02-12 15:25:45,911 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180059, best_loss=0.179817
- 2022-02-12 15:25:45,912 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.610501766204834s
- 2022-02-12 15:25:45,912 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:25:45,912 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:25:45,912 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 155
- 2022-02-12 15:25:46,030 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186900 Loss2 0.362759
- 2022-02-12 15:26:01,411 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192094, best_loss=0.185845
- 2022-02-12 15:26:02,524 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180041, best_loss=0.179817
- 2022-02-12 15:26:02,524 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.61249828338623s
- 2022-02-12 15:26:02,524 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:26:02,524 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:26:02,524 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 156
- 2022-02-12 15:26:02,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178246 Loss2 0.328647
- 2022-02-12 15:26:17,991 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191582, best_loss=0.185845
- 2022-02-12 15:26:19,061 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180019, best_loss=0.179817
- 2022-02-12 15:26:19,061 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53702664375305s
- 2022-02-12 15:26:19,061 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:26:19,061 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:26:19,061 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 157
- 2022-02-12 15:26:19,203 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167054 Loss2 0.345714
- 2022-02-12 15:26:34,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192325, best_loss=0.185845
- 2022-02-12 15:26:35,739 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180112, best_loss=0.179817
- 2022-02-12 15:26:35,740 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67847514152527s
- 2022-02-12 15:26:35,740 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:26:35,740 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:26:35,740 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 158
- 2022-02-12 15:26:35,846 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181868 Loss2 0.367769
- 2022-02-12 15:26:51,238 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192625, best_loss=0.185845
- 2022-02-12 15:26:52,351 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180110, best_loss=0.179817
- 2022-02-12 15:26:52,351 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.611499786376953s
- 2022-02-12 15:26:52,351 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:26:52,351 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:26:52,351 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 159
- 2022-02-12 15:26:52,485 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161980 Loss2 0.352990
- 2022-02-12 15:27:08,023 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192125, best_loss=0.185845
- 2022-02-12 15:27:09,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180159, best_loss=0.179817
- 2022-02-12 15:27:09,093 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.741498231887817s
- 2022-02-12 15:27:09,093 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:27:09,093 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:27:09,093 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 160
- 2022-02-12 15:27:09,205 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.130201 Loss2 0.289198
- 2022-02-12 15:27:24,684 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192333, best_loss=0.185845
- 2022-02-12 15:27:25,756 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180069, best_loss=0.179817
- 2022-02-12 15:27:25,757 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66349983215332s
- 2022-02-12 15:27:25,757 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:27:25,757 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:27:25,757 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 161
- 2022-02-12 15:27:25,884 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148548 Loss2 0.323915
- 2022-02-12 15:27:41,176 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192406, best_loss=0.185845
- 2022-02-12 15:27:42,275 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180130, best_loss=0.179817
- 2022-02-12 15:27:42,276 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.51899790763855s
- 2022-02-12 15:27:42,276 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:27:42,276 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:27:42,276 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 162
- 2022-02-12 15:27:42,417 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.127976 Loss2 0.285571
- 2022-02-12 15:27:57,615 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192548, best_loss=0.185845
- 2022-02-12 15:27:58,689 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180035, best_loss=0.179817
- 2022-02-12 15:27:58,689 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.412999629974365s
- 2022-02-12 15:27:58,689 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:27:58,689 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:27:58,690 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 163
- 2022-02-12 15:27:58,807 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162034 Loss2 0.326850
- 2022-02-12 15:28:14,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191778, best_loss=0.185845
- 2022-02-12 15:28:15,240 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180047, best_loss=0.179817
- 2022-02-12 15:28:15,241 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.550999879837036s
- 2022-02-12 15:28:15,241 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:28:15,241 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:28:15,241 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 164
- 2022-02-12 15:28:15,361 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.128517 Loss2 0.284235
- 2022-02-12 15:28:30,857 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194300, best_loss=0.185845
- 2022-02-12 15:28:31,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180005, best_loss=0.179817
- 2022-02-12 15:28:31,939 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.697999715805054s
- 2022-02-12 15:28:31,939 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:28:31,939 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:28:31,939 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 165
- 2022-02-12 15:28:32,072 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153967 Loss2 0.365537
- 2022-02-12 15:28:47,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192292, best_loss=0.185845
- 2022-02-12 15:28:48,411 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179893, best_loss=0.179817
- 2022-02-12 15:28:48,411 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.472000122070312s
- 2022-02-12 15:28:48,412 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:28:48,412 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:28:48,412 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 166
- 2022-02-12 15:28:48,531 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165149 Loss2 0.331354
- 2022-02-12 15:29:04,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191269, best_loss=0.185845
- 2022-02-12 15:29:05,180 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179839, best_loss=0.179817
- 2022-02-12 15:29:05,181 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.76900053024292s
- 2022-02-12 15:29:05,181 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:29:05,181 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:29:05,181 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 167
- 2022-02-12 15:29:05,300 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179725 Loss2 0.349327
- 2022-02-12 15:29:20,739 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192467, best_loss=0.185845
- 2022-02-12 15:29:21,812 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179970, best_loss=0.179817
- 2022-02-12 15:29:21,812 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.631500720977783s
- 2022-02-12 15:29:21,812 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:29:21,812 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:29:21,812 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 168
- 2022-02-12 15:29:21,939 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146999 Loss2 0.326387
- 2022-02-12 15:29:37,363 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191476, best_loss=0.185845
- 2022-02-12 15:29:38,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179972, best_loss=0.179817
- 2022-02-12 15:29:38,441 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.628998517990112s
- 2022-02-12 15:29:38,441 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:29:38,441 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:29:38,441 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 169
- 2022-02-12 15:29:38,553 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170268 Loss2 0.340033
- 2022-02-12 15:29:54,013 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191974, best_loss=0.185845
- 2022-02-12 15:29:55,081 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180015, best_loss=0.179817
- 2022-02-12 15:29:55,081 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.640000104904175s
- 2022-02-12 15:29:55,082 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:29:55,082 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:29:55,082 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 170
- 2022-02-12 15:29:55,198 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154467 Loss2 0.333051
- 2022-02-12 15:30:10,372 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191060, best_loss=0.185845
- 2022-02-12 15:30:11,429 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179895, best_loss=0.179817
- 2022-02-12 15:30:11,430 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.348502159118652s
- 2022-02-12 15:30:11,430 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:30:11,430 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:30:11,430 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 171
- 2022-02-12 15:30:11,548 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148578 Loss2 0.309451
- 2022-02-12 15:30:26,782 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191068, best_loss=0.185845
- 2022-02-12 15:30:27,844 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180038, best_loss=0.179817
- 2022-02-12 15:30:27,844 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.41399836540222s
- 2022-02-12 15:30:27,845 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:30:27,845 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:30:27,845 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 172
- 2022-02-12 15:30:27,958 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161302 Loss2 0.352777
- 2022-02-12 15:30:43,473 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192073, best_loss=0.185845
- 2022-02-12 15:30:44,550 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180010, best_loss=0.179817
- 2022-02-12 15:30:44,550 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.70550036430359s
- 2022-02-12 15:30:44,550 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:30:44,550 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:30:44,550 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 173
- 2022-02-12 15:30:44,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138161 Loss2 0.311648
- 2022-02-12 15:30:59,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190361, best_loss=0.185845
- 2022-02-12 15:31:01,043 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180117, best_loss=0.179817
- 2022-02-12 15:31:01,044 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.493499040603638s
- 2022-02-12 15:31:01,044 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:31:01,044 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:31:01,044 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 174
- 2022-02-12 15:31:01,158 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155904 Loss2 0.310685
- 2022-02-12 15:31:16,536 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191880, best_loss=0.185845
- 2022-02-12 15:31:17,610 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180173, best_loss=0.179817
- 2022-02-12 15:31:17,611 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.56649947166443s
- 2022-02-12 15:31:17,611 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:31:17,611 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:31:17,611 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 175
- 2022-02-12 15:31:17,723 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143531 Loss2 0.302445
- 2022-02-12 15:31:33,367 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191528, best_loss=0.185845
- 2022-02-12 15:31:34,380 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180198, best_loss=0.179817
- 2022-02-12 15:31:34,380 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.768998861312866s
- 2022-02-12 15:31:34,380 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:31:34,380 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:31:34,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 176
- 2022-02-12 15:31:34,490 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151887 Loss2 0.332934
- 2022-02-12 15:31:49,728 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191181, best_loss=0.185845
- 2022-02-12 15:31:50,804 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180171, best_loss=0.179817
- 2022-02-12 15:31:50,805 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.42400050163269s
- 2022-02-12 15:31:50,805 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:31:50,805 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:31:50,805 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 177
- 2022-02-12 15:31:50,928 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169755 Loss2 0.328650
- 2022-02-12 15:32:06,241 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192415, best_loss=0.185845
- 2022-02-12 15:32:07,323 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180223, best_loss=0.179817
- 2022-02-12 15:32:07,324 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.51849937438965s
- 2022-02-12 15:32:07,324 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:32:07,324 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:32:07,324 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 178
- 2022-02-12 15:32:07,443 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159266 Loss2 0.310691
- 2022-02-12 15:32:22,998 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191416, best_loss=0.185845
- 2022-02-12 15:32:24,071 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180108, best_loss=0.179817
- 2022-02-12 15:32:24,072 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74749994277954s
- 2022-02-12 15:32:24,072 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:32:24,072 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:32:24,072 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 179
- 2022-02-12 15:32:24,183 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144199 Loss2 0.321862
- 2022-02-12 15:32:39,576 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191385, best_loss=0.185845
- 2022-02-12 15:32:40,648 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179955, best_loss=0.179817
- 2022-02-12 15:32:40,649 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.57700228691101s
- 2022-02-12 15:32:40,649 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:32:40,649 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:32:40,649 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 180
- 2022-02-12 15:32:40,755 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150295 Loss2 0.340376
- 2022-02-12 15:32:56,201 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191112, best_loss=0.185845
- 2022-02-12 15:32:57,282 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179898, best_loss=0.179817
- 2022-02-12 15:32:57,283 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63449788093567s
- 2022-02-12 15:32:57,283 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:32:57,283 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:32:57,283 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 181
- 2022-02-12 15:32:57,397 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153543 Loss2 0.302354
- 2022-02-12 15:33:12,748 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191405, best_loss=0.185845
- 2022-02-12 15:33:13,828 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179829, best_loss=0.179817
- 2022-02-12 15:33:13,829 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5455002784729s
- 2022-02-12 15:33:13,829 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:33:13,829 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:33:13,829 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 182
- 2022-02-12 15:33:13,969 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165093 Loss2 0.346580
- 2022-02-12 15:33:29,259 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191617, best_loss=0.185845
- 2022-02-12 15:33:30,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180005, best_loss=0.179817
- 2022-02-12 15:33:30,329 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.499500274658203s
- 2022-02-12 15:33:30,329 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:33:30,329 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:33:30,329 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 183
- 2022-02-12 15:33:30,456 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162806 Loss2 0.352225
- 2022-02-12 15:33:46,123 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191541, best_loss=0.185845
- 2022-02-12 15:33:47,196 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180010, best_loss=0.179817
- 2022-02-12 15:33:47,197 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.86800193786621s
- 2022-02-12 15:33:47,197 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:33:47,197 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:33:47,198 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 184
- 2022-02-12 15:33:47,320 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145861 Loss2 0.296090
- 2022-02-12 15:34:02,828 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190409, best_loss=0.185845
- 2022-02-12 15:34:03,918 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180037, best_loss=0.179817
- 2022-02-12 15:34:03,919 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.720999717712402s
- 2022-02-12 15:34:03,919 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:34:03,919 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:34:03,919 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 185
- 2022-02-12 15:34:04,031 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159085 Loss2 0.336773
- 2022-02-12 15:34:19,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192002, best_loss=0.185845
- 2022-02-12 15:34:20,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180055, best_loss=0.179817
- 2022-02-12 15:34:20,350 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.430999040603638s
- 2022-02-12 15:34:20,350 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:34:20,350 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:34:20,350 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 186
- 2022-02-12 15:34:20,478 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164066 Loss2 0.344770
- 2022-02-12 15:34:36,038 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191125, best_loss=0.185845
- 2022-02-12 15:34:37,118 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180185, best_loss=0.179817
- 2022-02-12 15:34:37,118 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.768499851226807s
- 2022-02-12 15:34:37,118 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:34:37,118 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:34:37,119 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 187
- 2022-02-12 15:34:37,235 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169271 Loss2 0.304268
- 2022-02-12 15:34:52,786 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191910, best_loss=0.185845
- 2022-02-12 15:34:53,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180234, best_loss=0.179817
- 2022-02-12 15:34:53,868 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74899983406067s
- 2022-02-12 15:34:53,868 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:34:53,868 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:34:53,868 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 188
- 2022-02-12 15:34:53,986 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167014 Loss2 0.341676
- 2022-02-12 15:35:09,203 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190360, best_loss=0.185845
- 2022-02-12 15:35:10,265 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180166, best_loss=0.179817
- 2022-02-12 15:35:10,266 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.397500038146973s
- 2022-02-12 15:35:10,266 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:35:10,266 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:35:10,266 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 189
- 2022-02-12 15:35:10,382 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149106 Loss2 0.337774
- 2022-02-12 15:35:25,985 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190398, best_loss=0.185845
- 2022-02-12 15:35:27,055 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180092, best_loss=0.179817
- 2022-02-12 15:35:27,056 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.789500951766968s
- 2022-02-12 15:35:27,056 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:35:27,056 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:35:27,056 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 190
- 2022-02-12 15:35:27,165 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166012 Loss2 0.315062
- 2022-02-12 15:35:42,606 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191711, best_loss=0.185845
- 2022-02-12 15:35:43,682 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180038, best_loss=0.179817
- 2022-02-12 15:35:43,683 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.62650418281555s
- 2022-02-12 15:35:43,683 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:35:43,683 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:35:43,683 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 191
- 2022-02-12 15:35:43,797 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162072 Loss2 0.346481
- 2022-02-12 15:35:59,204 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191278, best_loss=0.185845
- 2022-02-12 15:36:00,299 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179973, best_loss=0.179817
- 2022-02-12 15:36:00,299 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.61599564552307s
- 2022-02-12 15:36:00,299 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:36:00,299 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:36:00,299 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 192
- 2022-02-12 15:36:00,413 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177140 Loss2 0.367707
- 2022-02-12 15:36:15,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191003, best_loss=0.185845
- 2022-02-12 15:36:16,841 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179925, best_loss=0.179817
- 2022-02-12 15:36:16,842 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.542500019073486s
- 2022-02-12 15:36:16,842 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:36:16,842 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:36:16,842 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 193
- 2022-02-12 15:36:16,949 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171792 Loss2 0.345002
- 2022-02-12 15:36:32,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190995, best_loss=0.185845
- 2022-02-12 15:36:33,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179902, best_loss=0.179817
- 2022-02-12 15:36:33,517 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6745023727417s
- 2022-02-12 15:36:33,517 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:36:33,517 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:36:33,517 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 194
- 2022-02-12 15:36:33,644 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146722 Loss2 0.313240
- 2022-02-12 15:36:49,064 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190449, best_loss=0.185845
- 2022-02-12 15:36:50,138 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179842, best_loss=0.179817
- 2022-02-12 15:36:50,138 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.621498346328735s
- 2022-02-12 15:36:50,138 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:36:50,139 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:36:50,139 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 195
- 2022-02-12 15:36:50,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154184 Loss2 0.347402
- 2022-02-12 15:37:05,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190214, best_loss=0.185845
- 2022-02-12 15:37:06,715 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179816, best_loss=0.179817
- 2022-02-12 15:37:06,742 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:37:06,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60400128364563s
- 2022-02-12 15:37:06,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:37:06,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:37:06,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 196
- 2022-02-12 15:37:06,887 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150619 Loss2 0.318234
- 2022-02-12 15:37:22,332 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190826, best_loss=0.185845
- 2022-02-12 15:37:23,382 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179884, best_loss=0.179816
- 2022-02-12 15:37:23,383 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.639500617980957s
- 2022-02-12 15:37:23,383 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:37:23,383 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:37:23,383 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 197
- 2022-02-12 15:37:23,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151404 Loss2 0.323697
- 2022-02-12 15:37:38,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189886, best_loss=0.185845
- 2022-02-12 15:37:39,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179893, best_loss=0.179816
- 2022-02-12 15:37:39,917 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.534000396728516s
- 2022-02-12 15:37:39,917 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:37:39,917 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:37:39,917 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 198
- 2022-02-12 15:37:40,053 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173578 Loss2 0.354254
- 2022-02-12 15:37:55,486 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191424, best_loss=0.185845
- 2022-02-12 15:37:56,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179912, best_loss=0.179816
- 2022-02-12 15:37:56,567 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.649999856948853s
- 2022-02-12 15:37:56,567 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:37:56,568 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:37:56,568 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 199
- 2022-02-12 15:37:56,676 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161434 Loss2 0.348596
- 2022-02-12 15:38:12,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191074, best_loss=0.185845
- 2022-02-12 15:38:13,314 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179891, best_loss=0.179816
- 2022-02-12 15:38:13,314 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.746500253677368s
- 2022-02-12 15:38:13,314 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:38:13,394 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:38:13,394 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 0
- 2022-02-12 15:38:13,514 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.126822 Loss2 0.319501
- 2022-02-12 15:38:28,879 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182282, best_loss=0.185845
- 2022-02-12 15:38:28,906 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:38:29,927 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179775, best_loss=0.179816
- 2022-02-12 15:38:29,956 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:38:29,957 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562498331069946s
- 2022-02-12 15:38:29,957 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:38:29,957 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:38:29,957 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 1
- 2022-02-12 15:38:30,071 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150106 Loss2 0.290588
- 2022-02-12 15:38:45,569 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185737, best_loss=0.182282
- 2022-02-12 15:38:46,643 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179919, best_loss=0.179775
- 2022-02-12 15:38:46,644 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68650197982788s
- 2022-02-12 15:38:46,644 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:38:46,644 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:38:46,644 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 2
- 2022-02-12 15:38:46,790 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143720 Loss2 0.320390
- 2022-02-12 15:39:02,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188258, best_loss=0.182282
- 2022-02-12 15:39:03,243 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179984, best_loss=0.179775
- 2022-02-12 15:39:03,244 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60000228881836s
- 2022-02-12 15:39:03,244 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:39:03,244 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:39:03,244 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 3
- 2022-02-12 15:39:03,371 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141761 Loss2 0.312093
- 2022-02-12 15:39:18,696 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190440, best_loss=0.182282
- 2022-02-12 15:39:19,769 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180029, best_loss=0.179775
- 2022-02-12 15:39:19,770 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.525501012802124s
- 2022-02-12 15:39:19,770 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:39:19,770 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:39:19,770 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 4
- 2022-02-12 15:39:19,888 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.140467 Loss2 0.295420
- 2022-02-12 15:39:35,184 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193356, best_loss=0.182282
- 2022-02-12 15:39:36,283 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180094, best_loss=0.179775
- 2022-02-12 15:39:36,284 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.513997316360474s
- 2022-02-12 15:39:36,284 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:39:36,284 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:39:36,284 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 5
- 2022-02-12 15:39:36,397 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154500 Loss2 0.328506
- 2022-02-12 15:39:51,832 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196563, best_loss=0.182282
- 2022-02-12 15:39:52,909 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180182, best_loss=0.179775
- 2022-02-12 15:39:52,910 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.626503229141235s
- 2022-02-12 15:39:52,910 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:39:52,910 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:39:52,910 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 6
- 2022-02-12 15:39:53,028 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152834 Loss2 0.298696
- 2022-02-12 15:40:08,354 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198375, best_loss=0.182282
- 2022-02-12 15:40:09,450 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180106, best_loss=0.179775
- 2022-02-12 15:40:09,451 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.540498971939087s
- 2022-02-12 15:40:09,451 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:40:09,451 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:40:09,451 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 7
- 2022-02-12 15:40:09,575 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182747 Loss2 0.377825
- 2022-02-12 15:40:25,131 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201477, best_loss=0.182282
- 2022-02-12 15:40:26,212 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.180042, best_loss=0.179775
- 2022-02-12 15:40:26,212 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.761499404907227s
- 2022-02-12 15:40:26,212 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:40:26,212 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:40:26,212 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 8
- 2022-02-12 15:40:26,325 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164255 Loss2 0.319251
- 2022-02-12 15:40:41,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.201749, best_loss=0.182282
- 2022-02-12 15:40:42,705 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179818, best_loss=0.179775
- 2022-02-12 15:40:42,705 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.49299955368042s
- 2022-02-12 15:40:42,705 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:40:42,705 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:40:42,705 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 9
- 2022-02-12 15:40:42,814 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180321 Loss2 0.394133
- 2022-02-12 15:40:58,132 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199925, best_loss=0.182282
- 2022-02-12 15:40:59,208 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179739, best_loss=0.179775
- 2022-02-12 15:40:59,235 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:40:59,236 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.530500411987305s
- 2022-02-12 15:40:59,236 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:40:59,236 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:40:59,236 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 10
- 2022-02-12 15:40:59,347 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185594 Loss2 0.370205
- 2022-02-12 15:41:14,931 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199398, best_loss=0.182282
- 2022-02-12 15:41:16,007 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179639, best_loss=0.179739
- 2022-02-12 15:41:16,039 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:41:16,039 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.80299949645996s
- 2022-02-12 15:41:16,039 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:41:16,040 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:41:16,040 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 11
- 2022-02-12 15:41:16,163 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.208837 Loss2 0.367880
- 2022-02-12 15:41:31,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.202076, best_loss=0.182282
- 2022-02-12 15:41:32,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179658, best_loss=0.179639
- 2022-02-12 15:41:32,684 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64449977874756s
- 2022-02-12 15:41:32,684 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:41:32,684 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:41:32,684 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 12
- 2022-02-12 15:41:32,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178372 Loss2 0.378445
- 2022-02-12 15:41:48,208 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198651, best_loss=0.182282
- 2022-02-12 15:41:49,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179625, best_loss=0.179639
- 2022-02-12 15:41:49,312 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:41:49,313 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.62850022315979s
- 2022-02-12 15:41:49,313 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:41:49,313 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:41:49,313 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 13
- 2022-02-12 15:41:49,440 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164091 Loss2 0.325035
- 2022-02-12 15:42:04,870 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197655, best_loss=0.182282
- 2022-02-12 15:42:05,922 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179601, best_loss=0.179625
- 2022-02-12 15:42:05,950 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:42:05,951 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63750123977661s
- 2022-02-12 15:42:05,951 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:42:05,951 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:42:05,951 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 14
- 2022-02-12 15:42:06,065 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167345 Loss2 0.348429
- 2022-02-12 15:42:21,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196191, best_loss=0.182282
- 2022-02-12 15:42:22,572 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179507, best_loss=0.179601
- 2022-02-12 15:42:22,600 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:42:22,600 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.649498462677002s
- 2022-02-12 15:42:22,600 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:42:22,600 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:42:22,600 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 15
- 2022-02-12 15:42:22,711 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190105 Loss2 0.384983
- 2022-02-12 15:42:38,211 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197760, best_loss=0.182282
- 2022-02-12 15:42:39,280 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179418, best_loss=0.179507
- 2022-02-12 15:42:39,307 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:42:39,307 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.70700216293335s
- 2022-02-12 15:42:39,307 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:42:39,308 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:42:39,308 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 16
- 2022-02-12 15:42:39,421 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166082 Loss2 0.303615
- 2022-02-12 15:42:54,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198264, best_loss=0.182282
- 2022-02-12 15:42:56,004 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179326, best_loss=0.179418
- 2022-02-12 15:42:56,031 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:42:56,031 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.72349762916565s
- 2022-02-12 15:42:56,031 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:42:56,032 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:42:56,032 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 17
- 2022-02-12 15:42:56,144 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185727 Loss2 0.399192
- 2022-02-12 15:43:11,629 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197839, best_loss=0.182282
- 2022-02-12 15:43:12,698 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179408, best_loss=0.179326
- 2022-02-12 15:43:12,699 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66700053215027s
- 2022-02-12 15:43:12,699 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:43:12,699 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:43:12,699 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 18
- 2022-02-12 15:43:12,811 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161110 Loss2 0.308109
- 2022-02-12 15:43:28,330 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197548, best_loss=0.182282
- 2022-02-12 15:43:29,397 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179222, best_loss=0.179326
- 2022-02-12 15:43:29,425 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:43:29,426 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.726500034332275s
- 2022-02-12 15:43:29,426 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:43:29,426 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:43:29,426 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 19
- 2022-02-12 15:43:29,549 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.197857 Loss2 0.339841
- 2022-02-12 15:43:45,059 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196996, best_loss=0.182282
- 2022-02-12 15:43:46,118 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179373, best_loss=0.179222
- 2022-02-12 15:43:46,119 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.693501710891724s
- 2022-02-12 15:43:46,119 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:43:46,119 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:43:46,119 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 20
- 2022-02-12 15:43:46,233 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155657 Loss2 0.329692
- 2022-02-12 15:44:01,790 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196953, best_loss=0.182282
- 2022-02-12 15:44:02,865 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179233, best_loss=0.179222
- 2022-02-12 15:44:02,865 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.745999813079834s
- 2022-02-12 15:44:02,866 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:44:02,866 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:44:02,866 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 21
- 2022-02-12 15:44:02,975 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173382 Loss2 0.333494
- 2022-02-12 15:44:18,452 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198135, best_loss=0.182282
- 2022-02-12 15:44:19,520 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179289, best_loss=0.179222
- 2022-02-12 15:44:19,521 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65549945831299s
- 2022-02-12 15:44:19,521 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:44:19,521 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:44:19,521 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 22
- 2022-02-12 15:44:19,647 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186601 Loss2 0.358809
- 2022-02-12 15:44:35,260 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197054, best_loss=0.182282
- 2022-02-12 15:44:36,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179210, best_loss=0.179222
- 2022-02-12 15:44:36,361 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:44:36,361 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.84000039100647s
- 2022-02-12 15:44:36,361 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:44:36,361 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:44:36,361 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 23
- 2022-02-12 15:44:36,469 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157058 Loss2 0.306477
- 2022-02-12 15:44:51,894 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197041, best_loss=0.182282
- 2022-02-12 15:44:52,968 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179149, best_loss=0.179210
- 2022-02-12 15:44:52,996 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:44:52,997 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6349995136261s
- 2022-02-12 15:44:52,997 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:44:52,997 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:44:52,997 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 24
- 2022-02-12 15:44:53,107 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156776 Loss2 0.316246
- 2022-02-12 15:45:08,535 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197703, best_loss=0.182282
- 2022-02-12 15:45:09,608 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178987, best_loss=0.179149
- 2022-02-12 15:45:09,635 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:45:09,636 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.638499975204468s
- 2022-02-12 15:45:09,636 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:45:09,636 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:45:09,636 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 25
- 2022-02-12 15:45:09,745 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.191366 Loss2 0.351464
- 2022-02-12 15:45:25,212 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196685, best_loss=0.182282
- 2022-02-12 15:45:26,279 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178847, best_loss=0.178987
- 2022-02-12 15:45:26,306 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:45:26,307 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.671501398086548s
- 2022-02-12 15:45:26,307 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:45:26,307 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:45:26,307 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 26
- 2022-02-12 15:45:26,422 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174229 Loss2 0.344368
- 2022-02-12 15:45:42,000 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196634, best_loss=0.182282
- 2022-02-12 15:45:43,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178810, best_loss=0.178847
- 2022-02-12 15:45:43,083 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:45:43,084 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.776498794555664s
- 2022-02-12 15:45:43,084 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:45:43,084 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:45:43,084 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 27
- 2022-02-12 15:45:43,197 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147630 Loss2 0.312108
- 2022-02-12 15:45:58,545 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196599, best_loss=0.182282
- 2022-02-12 15:45:59,619 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178848, best_loss=0.178810
- 2022-02-12 15:45:59,620 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.535998582839966s
- 2022-02-12 15:45:59,620 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:45:59,620 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:45:59,620 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 28
- 2022-02-12 15:45:59,735 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162893 Loss2 0.337582
- 2022-02-12 15:46:15,203 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196620, best_loss=0.182282
- 2022-02-12 15:46:16,270 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178940, best_loss=0.178810
- 2022-02-12 15:46:16,271 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.649996519088745s
- 2022-02-12 15:46:16,271 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:46:16,271 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:46:16,271 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 29
- 2022-02-12 15:46:16,387 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169107 Loss2 0.348141
- 2022-02-12 15:46:31,759 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197621, best_loss=0.182282
- 2022-02-12 15:46:32,820 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178902, best_loss=0.178810
- 2022-02-12 15:46:32,821 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.549500942230225s
- 2022-02-12 15:46:32,821 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:46:32,821 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:46:32,821 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 30
- 2022-02-12 15:46:32,932 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176937 Loss2 0.362603
- 2022-02-12 15:46:48,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196829, best_loss=0.182282
- 2022-02-12 15:46:49,397 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178743, best_loss=0.178810
- 2022-02-12 15:46:49,426 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:46:49,426 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.605501890182495s
- 2022-02-12 15:46:49,426 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:46:49,426 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:46:49,426 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 31
- 2022-02-12 15:46:49,549 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166295 Loss2 0.338910
- 2022-02-12 15:47:04,858 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196935, best_loss=0.182282
- 2022-02-12 15:47:05,937 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178633, best_loss=0.178743
- 2022-02-12 15:47:05,963 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:47:05,964 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53700041770935s
- 2022-02-12 15:47:05,964 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:47:05,964 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:47:05,964 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 32
- 2022-02-12 15:47:06,074 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148536 Loss2 0.281016
- 2022-02-12 15:47:21,560 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198454, best_loss=0.182282
- 2022-02-12 15:47:22,625 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178598, best_loss=0.178633
- 2022-02-12 15:47:22,654 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:47:22,655 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69149899482727s
- 2022-02-12 15:47:22,655 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:47:22,655 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:47:22,655 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 33
- 2022-02-12 15:47:22,775 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169617 Loss2 0.379301
- 2022-02-12 15:47:38,127 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196730, best_loss=0.182282
- 2022-02-12 15:47:39,203 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178540, best_loss=0.178598
- 2022-02-12 15:47:39,231 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:47:39,231 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.576000452041626s
- 2022-02-12 15:47:39,231 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:47:39,231 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:47:39,232 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 34
- 2022-02-12 15:47:39,343 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166430 Loss2 0.344468
- 2022-02-12 15:47:54,677 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196057, best_loss=0.182282
- 2022-02-12 15:47:55,748 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178576, best_loss=0.178540
- 2022-02-12 15:47:55,749 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.51750111579895s
- 2022-02-12 15:47:55,749 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:47:55,749 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:47:55,749 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 35
- 2022-02-12 15:47:55,866 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175060 Loss2 0.347970
- 2022-02-12 15:48:11,333 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198467, best_loss=0.182282
- 2022-02-12 15:48:12,409 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178466, best_loss=0.178540
- 2022-02-12 15:48:12,436 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:48:12,437 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68749737739563s
- 2022-02-12 15:48:12,437 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:48:12,437 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:48:12,437 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 36
- 2022-02-12 15:48:12,556 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151121 Loss2 0.324359
- 2022-02-12 15:48:28,088 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196401, best_loss=0.182282
- 2022-02-12 15:48:29,170 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178537, best_loss=0.178466
- 2022-02-12 15:48:29,170 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73300004005432s
- 2022-02-12 15:48:29,171 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:48:29,171 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:48:29,171 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 37
- 2022-02-12 15:48:29,290 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180712 Loss2 0.359973
- 2022-02-12 15:48:44,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196192, best_loss=0.182282
- 2022-02-12 15:48:45,882 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178585, best_loss=0.178466
- 2022-02-12 15:48:45,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.712501287460327s
- 2022-02-12 15:48:45,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:48:45,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:48:45,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 38
- 2022-02-12 15:48:46,004 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190495 Loss2 0.365419
- 2022-02-12 15:49:01,620 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.197009, best_loss=0.182282
- 2022-02-12 15:49:02,692 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178513, best_loss=0.178466
- 2022-02-12 15:49:02,693 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.80950164794922s
- 2022-02-12 15:49:02,693 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:49:02,693 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:49:02,693 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 39
- 2022-02-12 15:49:02,812 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183120 Loss2 0.334416
- 2022-02-12 15:49:18,387 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196155, best_loss=0.182282
- 2022-02-12 15:49:19,464 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178684, best_loss=0.178466
- 2022-02-12 15:49:19,464 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.77099895477295s
- 2022-02-12 15:49:19,464 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:49:19,464 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:49:19,464 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 40
- 2022-02-12 15:49:19,580 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157992 Loss2 0.323499
- 2022-02-12 15:49:35,091 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195214, best_loss=0.182282
- 2022-02-12 15:49:36,159 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178640, best_loss=0.178466
- 2022-02-12 15:49:36,160 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.695003271102905s
- 2022-02-12 15:49:36,160 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:49:36,160 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:49:36,160 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 41
- 2022-02-12 15:49:36,269 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166199 Loss2 0.342894
- 2022-02-12 15:49:51,864 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196846, best_loss=0.182282
- 2022-02-12 15:49:52,942 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178751, best_loss=0.178466
- 2022-02-12 15:49:52,942 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.782495737075806s
- 2022-02-12 15:49:52,942 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:49:52,942 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:49:52,942 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 42
- 2022-02-12 15:49:53,063 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.179980 Loss2 0.365558
- 2022-02-12 15:50:08,565 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196907, best_loss=0.182282
- 2022-02-12 15:50:09,638 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178591, best_loss=0.178466
- 2022-02-12 15:50:09,639 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6965012550354s
- 2022-02-12 15:50:09,639 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:50:09,639 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:50:09,639 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 43
- 2022-02-12 15:50:09,748 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162212 Loss2 0.326593
- 2022-02-12 15:50:25,476 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198365, best_loss=0.182282
- 2022-02-12 15:50:26,558 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178663, best_loss=0.178466
- 2022-02-12 15:50:26,559 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.919998168945312s
- 2022-02-12 15:50:26,559 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:50:26,559 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:50:26,559 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 44
- 2022-02-12 15:50:26,692 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144345 Loss2 0.311581
- 2022-02-12 15:50:42,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196133, best_loss=0.182282
- 2022-02-12 15:50:43,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178460, best_loss=0.178466
- 2022-02-12 15:50:43,291 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:50:43,291 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.732001543045044s
- 2022-02-12 15:50:43,291 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:50:43,291 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:50:43,291 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 45
- 2022-02-12 15:50:43,395 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167939 Loss2 0.331116
- 2022-02-12 15:50:58,901 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196245, best_loss=0.182282
- 2022-02-12 15:50:59,987 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178456, best_loss=0.178460
- 2022-02-12 15:51:00,016 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:51:00,017 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.72600221633911s
- 2022-02-12 15:51:00,017 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:51:00,017 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:51:00,017 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 46
- 2022-02-12 15:51:00,132 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185448 Loss2 0.367952
- 2022-02-12 15:51:15,481 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195761, best_loss=0.182282
- 2022-02-12 15:51:16,568 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178400, best_loss=0.178456
- 2022-02-12 15:51:16,598 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:51:16,598 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.580996990203857s
- 2022-02-12 15:51:16,598 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:51:16,598 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:51:16,598 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 47
- 2022-02-12 15:51:16,721 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.193369 Loss2 0.329166
- 2022-02-12 15:51:32,381 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195939, best_loss=0.182282
- 2022-02-12 15:51:33,463 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178392, best_loss=0.178400
- 2022-02-12 15:51:33,490 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:51:33,491 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.891998767852783s
- 2022-02-12 15:51:33,491 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:51:33,491 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:51:33,491 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 48
- 2022-02-12 15:51:33,605 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189439 Loss2 0.359035
- 2022-02-12 15:51:49,002 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195389, best_loss=0.182282
- 2022-02-12 15:51:50,084 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178439, best_loss=0.178392
- 2022-02-12 15:51:50,085 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.593499898910522s
- 2022-02-12 15:51:50,085 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:51:50,085 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:51:50,085 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 49
- 2022-02-12 15:51:50,206 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171223 Loss2 0.346992
- 2022-02-12 15:52:05,888 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195817, best_loss=0.182282
- 2022-02-12 15:52:06,963 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178385, best_loss=0.178392
- 2022-02-12 15:52:06,992 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:52:06,992 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.907503366470337s
- 2022-02-12 15:52:06,992 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:52:06,993 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:52:06,993 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 50
- 2022-02-12 15:52:07,103 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152219 Loss2 0.312538
- 2022-02-12 15:52:22,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195799, best_loss=0.182282
- 2022-02-12 15:52:23,928 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178213, best_loss=0.178385
- 2022-02-12 15:52:23,954 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:52:23,955 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.96199917793274s
- 2022-02-12 15:52:23,955 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:52:23,955 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:52:23,955 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 51
- 2022-02-12 15:52:24,075 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180167 Loss2 0.350456
- 2022-02-12 15:52:39,338 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195763, best_loss=0.182282
- 2022-02-12 15:52:40,416 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178276, best_loss=0.178213
- 2022-02-12 15:52:40,417 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.461503505706787s
- 2022-02-12 15:52:40,417 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:52:40,417 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:52:40,417 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 52
- 2022-02-12 15:52:40,536 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153380 Loss2 0.348055
- 2022-02-12 15:52:56,001 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196086, best_loss=0.182282
- 2022-02-12 15:52:57,077 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178197, best_loss=0.178213
- 2022-02-12 15:52:57,105 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:52:57,105 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68849515914917s
- 2022-02-12 15:52:57,105 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:52:57,105 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:52:57,105 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 53
- 2022-02-12 15:52:57,230 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154831 Loss2 0.296937
- 2022-02-12 15:53:12,717 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194778, best_loss=0.182282
- 2022-02-12 15:53:13,794 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178176, best_loss=0.178197
- 2022-02-12 15:53:13,825 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:53:13,826 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.72100043296814s
- 2022-02-12 15:53:13,826 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:53:13,826 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:53:13,826 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 54
- 2022-02-12 15:53:13,937 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168180 Loss2 0.321758
- 2022-02-12 15:53:29,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195720, best_loss=0.182282
- 2022-02-12 15:53:30,515 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178094, best_loss=0.178176
- 2022-02-12 15:53:30,545 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:53:30,545 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71900177001953s
- 2022-02-12 15:53:30,546 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:53:30,546 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:53:30,546 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 55
- 2022-02-12 15:53:30,658 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160638 Loss2 0.337295
- 2022-02-12 15:53:46,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196262, best_loss=0.182282
- 2022-02-12 15:53:47,291 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178149, best_loss=0.178094
- 2022-02-12 15:53:47,292 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.745997667312622s
- 2022-02-12 15:53:47,292 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:53:47,292 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:53:47,292 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 56
- 2022-02-12 15:53:47,417 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183467 Loss2 0.351983
- 2022-02-12 15:54:02,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195568, best_loss=0.182282
- 2022-02-12 15:54:04,009 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178099, best_loss=0.178094
- 2022-02-12 15:54:04,009 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717502117156982s
- 2022-02-12 15:54:04,009 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:54:04,010 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:54:04,010 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 57
- 2022-02-12 15:54:04,132 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153611 Loss2 0.334935
- 2022-02-12 15:54:19,660 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194885, best_loss=0.182282
- 2022-02-12 15:54:20,733 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178058, best_loss=0.178094
- 2022-02-12 15:54:20,760 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:54:20,760 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7504985332489s
- 2022-02-12 15:54:20,760 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:54:20,760 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:54:20,760 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 58
- 2022-02-12 15:54:20,876 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.180914 Loss2 0.363863
- 2022-02-12 15:54:36,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195559, best_loss=0.182282
- 2022-02-12 15:54:37,625 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178047, best_loss=0.178058
- 2022-02-12 15:54:37,652 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:54:37,653 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.89300036430359s
- 2022-02-12 15:54:37,653 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:54:37,653 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:54:37,653 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 59
- 2022-02-12 15:54:37,776 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185604 Loss2 0.336465
- 2022-02-12 15:54:53,307 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195239, best_loss=0.182282
- 2022-02-12 15:54:54,371 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178000, best_loss=0.178047
- 2022-02-12 15:54:54,400 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:54:54,400 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.746999979019165s
- 2022-02-12 15:54:54,400 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:54:54,400 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:54:54,400 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 60
- 2022-02-12 15:54:54,516 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176317 Loss2 0.383048
- 2022-02-12 15:55:10,029 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194539, best_loss=0.182282
- 2022-02-12 15:55:11,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177940, best_loss=0.178000
- 2022-02-12 15:55:11,130 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:55:11,130 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.730000257492065s
- 2022-02-12 15:55:11,131 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:55:11,131 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:55:11,131 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 61
- 2022-02-12 15:55:11,251 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158932 Loss2 0.297233
- 2022-02-12 15:55:26,773 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194765, best_loss=0.182282
- 2022-02-12 15:55:27,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177868, best_loss=0.177940
- 2022-02-12 15:55:27,881 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:55:27,881 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.750500440597534s
- 2022-02-12 15:55:27,882 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:55:27,882 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:55:27,882 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 62
- 2022-02-12 15:55:27,995 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175039 Loss2 0.369119
- 2022-02-12 15:55:43,605 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194677, best_loss=0.182282
- 2022-02-12 15:55:44,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177919, best_loss=0.177868
- 2022-02-12 15:55:44,677 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.795501470565796s
- 2022-02-12 15:55:44,677 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:55:44,677 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:55:44,677 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 63
- 2022-02-12 15:55:44,800 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.183688 Loss2 0.367536
- 2022-02-12 15:56:00,257 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194002, best_loss=0.182282
- 2022-02-12 15:56:01,331 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177771, best_loss=0.177868
- 2022-02-12 15:56:01,363 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:56:01,364 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.686498403549194s
- 2022-02-12 15:56:01,364 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:56:01,364 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:56:01,364 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 64
- 2022-02-12 15:56:01,469 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182733 Loss2 0.359742
- 2022-02-12 15:56:16,905 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194925, best_loss=0.182282
- 2022-02-12 15:56:17,984 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177863, best_loss=0.177771
- 2022-02-12 15:56:17,985 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.621004104614258s
- 2022-02-12 15:56:17,985 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:56:17,985 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:56:17,985 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 65
- 2022-02-12 15:56:18,110 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170784 Loss2 0.346167
- 2022-02-12 15:56:33,735 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194251, best_loss=0.182282
- 2022-02-12 15:56:34,804 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177826, best_loss=0.177771
- 2022-02-12 15:56:34,804 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.81899881362915s
- 2022-02-12 15:56:34,804 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:56:34,804 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:56:34,804 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 66
- 2022-02-12 15:56:34,923 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173053 Loss2 0.338206
- 2022-02-12 15:56:50,351 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194095, best_loss=0.182282
- 2022-02-12 15:56:51,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177828, best_loss=0.177771
- 2022-02-12 15:56:51,418 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.613496780395508s
- 2022-02-12 15:56:51,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:56:51,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:56:51,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 67
- 2022-02-12 15:56:51,562 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187370 Loss2 0.359344
- 2022-02-12 15:57:07,049 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195018, best_loss=0.182282
- 2022-02-12 15:57:08,123 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177746, best_loss=0.177771
- 2022-02-12 15:57:08,149 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:57:08,150 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73200297355652s
- 2022-02-12 15:57:08,150 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:57:08,150 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:57:08,150 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 68
- 2022-02-12 15:57:08,265 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176271 Loss2 0.313370
- 2022-02-12 15:57:23,796 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193902, best_loss=0.182282
- 2022-02-12 15:57:24,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177816, best_loss=0.177746
- 2022-02-12 15:57:24,868 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.717997312545776s
- 2022-02-12 15:57:24,868 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:57:24,868 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:57:24,868 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 69
- 2022-02-12 15:57:24,988 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.188953 Loss2 0.362252
- 2022-02-12 15:57:40,359 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194936, best_loss=0.182282
- 2022-02-12 15:57:41,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177792, best_loss=0.177746
- 2022-02-12 15:57:41,418 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55000400543213s
- 2022-02-12 15:57:41,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:57:41,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:57:41,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 70
- 2022-02-12 15:57:41,521 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.140084 Loss2 0.325751
- 2022-02-12 15:57:56,975 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193152, best_loss=0.182282
- 2022-02-12 15:57:58,056 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177763, best_loss=0.177746
- 2022-02-12 15:57:58,057 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.639495611190796s
- 2022-02-12 15:57:58,057 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:57:58,057 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:57:58,057 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 71
- 2022-02-12 15:57:58,181 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153400 Loss2 0.333871
- 2022-02-12 15:58:13,666 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195840, best_loss=0.182282
- 2022-02-12 15:58:14,737 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177717, best_loss=0.177746
- 2022-02-12 15:58:14,764 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:58:14,765 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.708001852035522s
- 2022-02-12 15:58:14,765 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:58:14,765 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:58:14,765 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 72
- 2022-02-12 15:58:14,877 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149852 Loss2 0.328288
- 2022-02-12 15:58:30,179 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193052, best_loss=0.182282
- 2022-02-12 15:58:31,235 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177689, best_loss=0.177717
- 2022-02-12 15:58:31,265 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:58:31,266 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50099802017212s
- 2022-02-12 15:58:31,266 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:58:31,266 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:58:31,266 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 73
- 2022-02-12 15:58:31,404 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181662 Loss2 0.387513
- 2022-02-12 15:58:46,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192980, best_loss=0.182282
- 2022-02-12 15:58:47,996 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177642, best_loss=0.177689
- 2022-02-12 15:58:48,028 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:58:48,029 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.762500762939453s
- 2022-02-12 15:58:48,029 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:58:48,029 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:58:48,029 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 74
- 2022-02-12 15:58:48,140 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165954 Loss2 0.357971
- 2022-02-12 15:59:03,723 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193334, best_loss=0.182282
- 2022-02-12 15:59:04,790 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177636, best_loss=0.177642
- 2022-02-12 15:59:04,818 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 15:59:04,819 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.789500951766968s
- 2022-02-12 15:59:04,819 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:59:04,819 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:59:04,819 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 75
- 2022-02-12 15:59:04,929 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162381 Loss2 0.333175
- 2022-02-12 15:59:20,319 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195020, best_loss=0.182282
- 2022-02-12 15:59:21,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177688, best_loss=0.177636
- 2022-02-12 15:59:21,400 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.581001043319702s
- 2022-02-12 15:59:21,400 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:59:21,400 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:59:21,400 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 76
- 2022-02-12 15:59:21,513 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176762 Loss2 0.331033
- 2022-02-12 15:59:36,954 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193045, best_loss=0.182282
- 2022-02-12 15:59:38,029 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177843, best_loss=0.177636
- 2022-02-12 15:59:38,030 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.630000114440918s
- 2022-02-12 15:59:38,030 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:59:38,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:59:38,030 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 77
- 2022-02-12 15:59:38,162 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166215 Loss2 0.341780
- 2022-02-12 15:59:53,582 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192374, best_loss=0.182282
- 2022-02-12 15:59:54,660 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177827, best_loss=0.177636
- 2022-02-12 15:59:54,661 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.630999088287354s
- 2022-02-12 15:59:54,661 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 15:59:54,661 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 15:59:54,661 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 78
- 2022-02-12 15:59:54,800 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162938 Loss2 0.314653
- 2022-02-12 16:00:10,166 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193282, best_loss=0.182282
- 2022-02-12 16:00:11,238 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177839, best_loss=0.177636
- 2022-02-12 16:00:11,239 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.57750105857849s
- 2022-02-12 16:00:11,239 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:00:11,239 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:00:11,239 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 79
- 2022-02-12 16:00:11,356 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166705 Loss2 0.331705
- 2022-02-12 16:00:26,921 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193273, best_loss=0.182282
- 2022-02-12 16:00:27,987 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177831, best_loss=0.177636
- 2022-02-12 16:00:27,987 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74849843978882s
- 2022-02-12 16:00:27,987 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:00:27,987 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:00:27,987 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 80
- 2022-02-12 16:00:28,103 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166395 Loss2 0.324700
- 2022-02-12 16:00:43,566 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193128, best_loss=0.182282
- 2022-02-12 16:00:44,631 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177847, best_loss=0.177636
- 2022-02-12 16:00:44,631 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.643999576568604s
- 2022-02-12 16:00:44,631 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:00:44,632 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:00:44,632 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 81
- 2022-02-12 16:00:44,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166338 Loss2 0.350220
- 2022-02-12 16:01:00,063 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193632, best_loss=0.182282
- 2022-02-12 16:01:01,131 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177778, best_loss=0.177636
- 2022-02-12 16:01:01,132 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.500001192092896s
- 2022-02-12 16:01:01,132 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:01:01,132 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:01:01,132 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 82
- 2022-02-12 16:01:01,257 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146778 Loss2 0.303525
- 2022-02-12 16:01:16,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193600, best_loss=0.182282
- 2022-02-12 16:01:17,742 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177709, best_loss=0.177636
- 2022-02-12 16:01:17,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.611000061035156s
- 2022-02-12 16:01:17,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:01:17,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:01:17,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 83
- 2022-02-12 16:01:17,856 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177066 Loss2 0.358704
- 2022-02-12 16:01:33,286 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193738, best_loss=0.182282
- 2022-02-12 16:01:34,359 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177693, best_loss=0.177636
- 2022-02-12 16:01:34,359 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.615998029708862s
- 2022-02-12 16:01:34,359 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:01:34,359 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:01:34,359 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 84
- 2022-02-12 16:01:34,467 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164771 Loss2 0.345593
- 2022-02-12 16:01:49,745 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193621, best_loss=0.182282
- 2022-02-12 16:01:50,818 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177539, best_loss=0.177636
- 2022-02-12 16:01:50,845 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:01:50,845 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.486000776290894s
- 2022-02-12 16:01:50,845 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:01:50,846 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:01:50,846 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 85
- 2022-02-12 16:01:50,966 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147882 Loss2 0.305859
- 2022-02-12 16:02:06,566 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192442, best_loss=0.182282
- 2022-02-12 16:02:07,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177484, best_loss=0.177539
- 2022-02-12 16:02:07,664 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:02:07,665 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.818999767303467s
- 2022-02-12 16:02:07,665 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:02:07,665 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:02:07,665 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 86
- 2022-02-12 16:02:07,791 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147074 Loss2 0.297706
- 2022-02-12 16:02:23,255 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192796, best_loss=0.182282
- 2022-02-12 16:02:24,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177508, best_loss=0.177484
- 2022-02-12 16:02:24,312 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.646501779556274s
- 2022-02-12 16:02:24,312 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:02:24,312 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:02:24,312 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 87
- 2022-02-12 16:02:24,423 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.189392 Loss2 0.374168
- 2022-02-12 16:02:39,641 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193568, best_loss=0.182282
- 2022-02-12 16:02:40,695 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177551, best_loss=0.177484
- 2022-02-12 16:02:40,695 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.382999897003174s
- 2022-02-12 16:02:40,695 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:02:40,695 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:02:40,696 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 88
- 2022-02-12 16:02:40,822 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175436 Loss2 0.336996
- 2022-02-12 16:02:56,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193560, best_loss=0.182282
- 2022-02-12 16:02:57,351 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177422, best_loss=0.177484
- 2022-02-12 16:02:57,378 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:02:57,379 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68300199508667s
- 2022-02-12 16:02:57,379 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:02:57,379 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:02:57,379 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 89
- 2022-02-12 16:02:57,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152542 Loss2 0.312880
- 2022-02-12 16:03:13,049 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193968, best_loss=0.182282
- 2022-02-12 16:03:14,125 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177413, best_loss=0.177422
- 2022-02-12 16:03:14,154 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:03:14,155 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.775500297546387s
- 2022-02-12 16:03:14,155 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:03:14,155 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:03:14,155 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 90
- 2022-02-12 16:03:14,275 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172378 Loss2 0.346566
- 2022-02-12 16:03:29,749 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192819, best_loss=0.182282
- 2022-02-12 16:03:30,821 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177455, best_loss=0.177413
- 2022-02-12 16:03:30,822 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66699767112732s
- 2022-02-12 16:03:30,822 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:03:30,822 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:03:30,822 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 91
- 2022-02-12 16:03:30,938 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155219 Loss2 0.314475
- 2022-02-12 16:03:46,546 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192143, best_loss=0.182282
- 2022-02-12 16:03:47,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177515, best_loss=0.177413
- 2022-02-12 16:03:47,623 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.800500869750977s
- 2022-02-12 16:03:47,623 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:03:47,623 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:03:47,623 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 92
- 2022-02-12 16:03:47,728 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168107 Loss2 0.354506
- 2022-02-12 16:04:03,153 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.199559, best_loss=0.182282
- 2022-02-12 16:04:04,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177532, best_loss=0.177413
- 2022-02-12 16:04:04,226 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.602999210357666s
- 2022-02-12 16:04:04,226 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:04:04,226 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:04:04,226 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 93
- 2022-02-12 16:04:04,338 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164129 Loss2 0.299061
- 2022-02-12 16:04:19,900 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194025, best_loss=0.182282
- 2022-02-12 16:04:20,972 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177509, best_loss=0.177413
- 2022-02-12 16:04:20,973 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.747000217437744s
- 2022-02-12 16:04:20,973 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:04:20,973 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:04:20,973 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 94
- 2022-02-12 16:04:21,080 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169003 Loss2 0.368112
- 2022-02-12 16:04:36,481 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192550, best_loss=0.182282
- 2022-02-12 16:04:37,546 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177564, best_loss=0.177413
- 2022-02-12 16:04:37,547 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.573501586914062s
- 2022-02-12 16:04:37,547 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:04:37,547 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:04:37,547 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 95
- 2022-02-12 16:04:37,663 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170815 Loss2 0.323894
- 2022-02-12 16:04:53,076 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191479, best_loss=0.182282
- 2022-02-12 16:04:54,139 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177504, best_loss=0.177413
- 2022-02-12 16:04:54,139 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59250283241272s
- 2022-02-12 16:04:54,140 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:04:54,140 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:04:54,140 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 96
- 2022-02-12 16:04:54,255 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158710 Loss2 0.337133
- 2022-02-12 16:05:09,443 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191989, best_loss=0.182282
- 2022-02-12 16:05:10,492 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177565, best_loss=0.177413
- 2022-02-12 16:05:10,493 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.353498220443726s
- 2022-02-12 16:05:10,493 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:05:10,493 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:05:10,493 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 97
- 2022-02-12 16:05:10,600 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145988 Loss2 0.296063
- 2022-02-12 16:05:26,074 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191567, best_loss=0.182282
- 2022-02-12 16:05:27,139 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177540, best_loss=0.177413
- 2022-02-12 16:05:27,140 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.646498203277588s
- 2022-02-12 16:05:27,140 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:05:27,140 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:05:27,140 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 98
- 2022-02-12 16:05:27,258 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173781 Loss2 0.368006
- 2022-02-12 16:05:42,860 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192641, best_loss=0.182282
- 2022-02-12 16:05:43,933 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177706, best_loss=0.177413
- 2022-02-12 16:05:43,934 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.793999910354614s
- 2022-02-12 16:05:43,934 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:05:43,934 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:05:43,934 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 99
- 2022-02-12 16:05:44,065 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.185507 Loss2 0.331971
- 2022-02-12 16:05:59,527 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191672, best_loss=0.182282
- 2022-02-12 16:06:00,608 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177617, best_loss=0.177413
- 2022-02-12 16:06:00,608 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.674501419067383s
- 2022-02-12 16:06:00,608 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:06:00,608 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:06:00,609 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 100
- 2022-02-12 16:06:00,724 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159049 Loss2 0.339537
- 2022-02-12 16:06:16,272 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192886, best_loss=0.182282
- 2022-02-12 16:06:17,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177732, best_loss=0.177413
- 2022-02-12 16:06:17,335 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.72599983215332s
- 2022-02-12 16:06:17,335 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:06:17,335 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:06:17,335 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 101
- 2022-02-12 16:06:17,445 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165258 Loss2 0.318159
- 2022-02-12 16:06:32,897 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190972, best_loss=0.182282
- 2022-02-12 16:06:33,960 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177794, best_loss=0.177413
- 2022-02-12 16:06:33,961 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.625499486923218s
- 2022-02-12 16:06:33,961 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:06:33,961 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:06:33,961 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 102
- 2022-02-12 16:06:34,076 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147314 Loss2 0.311020
- 2022-02-12 16:06:49,443 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191756, best_loss=0.182282
- 2022-02-12 16:06:50,516 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177754, best_loss=0.177413
- 2022-02-12 16:06:50,516 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.554999113082886s
- 2022-02-12 16:06:50,516 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:06:50,516 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:06:50,517 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 103
- 2022-02-12 16:06:50,637 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157070 Loss2 0.330222
- 2022-02-12 16:07:06,103 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192503, best_loss=0.182282
- 2022-02-12 16:07:07,167 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177817, best_loss=0.177413
- 2022-02-12 16:07:07,168 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.651028871536255s
- 2022-02-12 16:07:07,168 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:07:07,168 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:07:07,168 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 104
- 2022-02-12 16:07:07,277 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149673 Loss2 0.351374
- 2022-02-12 16:07:22,824 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192164, best_loss=0.182282
- 2022-02-12 16:07:23,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177901, best_loss=0.177413
- 2022-02-12 16:07:23,886 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.718472242355347s
- 2022-02-12 16:07:23,886 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:07:23,886 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:07:23,886 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 105
- 2022-02-12 16:07:23,997 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159448 Loss2 0.328721
- 2022-02-12 16:07:39,419 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191206, best_loss=0.182282
- 2022-02-12 16:07:40,483 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177837, best_loss=0.177413
- 2022-02-12 16:07:40,484 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.597999334335327s
- 2022-02-12 16:07:40,484 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:07:40,484 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:07:40,484 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 106
- 2022-02-12 16:07:40,606 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147247 Loss2 0.300173
- 2022-02-12 16:07:56,015 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191714, best_loss=0.182282
- 2022-02-12 16:07:57,098 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177814, best_loss=0.177413
- 2022-02-12 16:07:57,099 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.614499807357788s
- 2022-02-12 16:07:57,099 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:07:57,099 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:07:57,099 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 107
- 2022-02-12 16:07:57,217 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160693 Loss2 0.339106
- 2022-02-12 16:08:12,693 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190471, best_loss=0.182282
- 2022-02-12 16:08:13,774 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177708, best_loss=0.177413
- 2022-02-12 16:08:13,774 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67550039291382s
- 2022-02-12 16:08:13,775 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:08:13,775 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:08:13,775 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 108
- 2022-02-12 16:08:13,889 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162854 Loss2 0.340770
- 2022-02-12 16:08:29,278 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191696, best_loss=0.182282
- 2022-02-12 16:08:30,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177713, best_loss=0.177413
- 2022-02-12 16:08:30,336 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.56100034713745s
- 2022-02-12 16:08:30,336 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:08:30,336 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:08:30,336 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 109
- 2022-02-12 16:08:30,444 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157429 Loss2 0.342159
- 2022-02-12 16:08:45,788 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191185, best_loss=0.182282
- 2022-02-12 16:08:46,857 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177719, best_loss=0.177413
- 2022-02-12 16:08:46,858 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.521999835968018s
- 2022-02-12 16:08:46,858 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:08:46,858 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:08:46,858 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 110
- 2022-02-12 16:08:46,982 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158678 Loss2 0.352555
- 2022-02-12 16:09:02,589 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193368, best_loss=0.182282
- 2022-02-12 16:09:03,666 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177777, best_loss=0.177413
- 2022-02-12 16:09:03,667 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.808499574661255s
- 2022-02-12 16:09:03,667 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:09:03,667 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:09:03,667 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 111
- 2022-02-12 16:09:03,791 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161557 Loss2 0.330396
- 2022-02-12 16:09:19,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190263, best_loss=0.182282
- 2022-02-12 16:09:20,259 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177768, best_loss=0.177413
- 2022-02-12 16:09:20,259 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.591999769210815s
- 2022-02-12 16:09:20,259 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:09:20,259 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:09:20,259 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 112
- 2022-02-12 16:09:20,378 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169177 Loss2 0.342377
- 2022-02-12 16:09:35,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191371, best_loss=0.182282
- 2022-02-12 16:09:37,036 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177850, best_loss=0.177413
- 2022-02-12 16:09:37,036 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.776999950408936s
- 2022-02-12 16:09:37,036 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:09:37,036 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:09:37,036 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 113
- 2022-02-12 16:09:37,165 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155836 Loss2 0.296188
- 2022-02-12 16:09:52,706 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191235, best_loss=0.182282
- 2022-02-12 16:09:53,777 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177884, best_loss=0.177413
- 2022-02-12 16:09:53,778 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.741499423980713s
- 2022-02-12 16:09:53,778 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:09:53,778 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:09:53,778 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 114
- 2022-02-12 16:09:53,893 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153157 Loss2 0.342739
- 2022-02-12 16:10:09,387 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191693, best_loss=0.182282
- 2022-02-12 16:10:10,461 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177862, best_loss=0.177413
- 2022-02-12 16:10:10,462 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.683501720428467s
- 2022-02-12 16:10:10,462 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:10:10,462 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:10:10,462 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 115
- 2022-02-12 16:10:10,567 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164450 Loss2 0.317652
- 2022-02-12 16:10:25,901 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191929, best_loss=0.182282
- 2022-02-12 16:10:26,967 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177904, best_loss=0.177413
- 2022-02-12 16:10:26,967 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50549817085266s
- 2022-02-12 16:10:26,968 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:10:26,968 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:10:26,968 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 116
- 2022-02-12 16:10:27,078 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158420 Loss2 0.320334
- 2022-02-12 16:10:42,600 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190766, best_loss=0.182282
- 2022-02-12 16:10:43,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177824, best_loss=0.177413
- 2022-02-12 16:10:43,674 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.706502676010132s
- 2022-02-12 16:10:43,674 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:10:43,675 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:10:43,675 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 117
- 2022-02-12 16:10:43,790 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164380 Loss2 0.316459
- 2022-02-12 16:10:59,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191641, best_loss=0.182282
- 2022-02-12 16:11:00,383 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177801, best_loss=0.177413
- 2022-02-12 16:11:00,383 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.70850133895874s
- 2022-02-12 16:11:00,384 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:11:00,384 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:11:00,384 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 118
- 2022-02-12 16:11:00,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177693 Loss2 0.358194
- 2022-02-12 16:11:15,914 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190021, best_loss=0.182282
- 2022-02-12 16:11:16,987 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177793, best_loss=0.177413
- 2022-02-12 16:11:16,987 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60350012779236s
- 2022-02-12 16:11:16,987 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:11:16,987 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:11:16,987 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 119
- 2022-02-12 16:11:17,099 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161512 Loss2 0.357647
- 2022-02-12 16:11:32,687 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190952, best_loss=0.182282
- 2022-02-12 16:11:33,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177753, best_loss=0.177413
- 2022-02-12 16:11:33,745 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.75700283050537s
- 2022-02-12 16:11:33,745 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:11:33,745 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:11:33,745 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 120
- 2022-02-12 16:11:33,868 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143583 Loss2 0.316598
- 2022-02-12 16:11:49,374 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190523, best_loss=0.182282
- 2022-02-12 16:11:50,448 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177744, best_loss=0.177413
- 2022-02-12 16:11:50,448 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.702995777130127s
- 2022-02-12 16:11:50,448 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:11:50,449 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:11:50,449 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 121
- 2022-02-12 16:11:50,570 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154286 Loss2 0.302049
- 2022-02-12 16:12:05,900 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191545, best_loss=0.182282
- 2022-02-12 16:12:06,967 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177690, best_loss=0.177413
- 2022-02-12 16:12:06,967 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.51850175857544s
- 2022-02-12 16:12:06,967 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:12:06,967 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:12:06,967 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 122
- 2022-02-12 16:12:07,075 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151185 Loss2 0.336087
- 2022-02-12 16:12:22,604 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191458, best_loss=0.182282
- 2022-02-12 16:12:23,660 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177654, best_loss=0.177413
- 2022-02-12 16:12:23,661 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6934974193573s
- 2022-02-12 16:12:23,661 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:12:23,661 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:12:23,661 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 123
- 2022-02-12 16:12:23,785 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157487 Loss2 0.330014
- 2022-02-12 16:12:39,220 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190334, best_loss=0.182282
- 2022-02-12 16:12:40,289 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177630, best_loss=0.177413
- 2022-02-12 16:12:40,290 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.629000663757324s
- 2022-02-12 16:12:40,290 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:12:40,290 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:12:40,290 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 124
- 2022-02-12 16:12:40,410 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155463 Loss2 0.313673
- 2022-02-12 16:12:55,975 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190292, best_loss=0.182282
- 2022-02-12 16:12:57,043 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177562, best_loss=0.177413
- 2022-02-12 16:12:57,044 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.754000902175903s
- 2022-02-12 16:12:57,044 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:12:57,044 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:12:57,044 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 125
- 2022-02-12 16:12:57,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173374 Loss2 0.361044
- 2022-02-12 16:13:12,752 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192416, best_loss=0.182282
- 2022-02-12 16:13:13,821 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177505, best_loss=0.177413
- 2022-02-12 16:13:13,821 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.777499198913574s
- 2022-02-12 16:13:13,821 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:13:13,821 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:13:13,822 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 126
- 2022-02-12 16:13:13,931 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144705 Loss2 0.316200
- 2022-02-12 16:13:29,326 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190749, best_loss=0.182282
- 2022-02-12 16:13:30,384 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177552, best_loss=0.177413
- 2022-02-12 16:13:30,384 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562501192092896s
- 2022-02-12 16:13:30,384 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:13:30,384 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:13:30,384 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 127
- 2022-02-12 16:13:30,501 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149833 Loss2 0.316951
- 2022-02-12 16:13:45,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190431, best_loss=0.182282
- 2022-02-12 16:13:46,968 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177519, best_loss=0.177413
- 2022-02-12 16:13:46,968 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58399772644043s
- 2022-02-12 16:13:46,968 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:13:46,969 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:13:46,969 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 128
- 2022-02-12 16:13:47,084 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151923 Loss2 0.340015
- 2022-02-12 16:14:02,490 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191241, best_loss=0.182282
- 2022-02-12 16:14:03,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177481, best_loss=0.177413
- 2022-02-12 16:14:03,568 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.598999977111816s
- 2022-02-12 16:14:03,568 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:14:03,568 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:14:03,568 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 129
- 2022-02-12 16:14:03,691 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152735 Loss2 0.323249
- 2022-02-12 16:14:19,087 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191237, best_loss=0.182282
- 2022-02-12 16:14:20,162 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177507, best_loss=0.177413
- 2022-02-12 16:14:20,163 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.594501972198486s
- 2022-02-12 16:14:20,163 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:14:20,163 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:14:20,163 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 130
- 2022-02-12 16:14:20,270 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141411 Loss2 0.321032
- 2022-02-12 16:14:35,748 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189748, best_loss=0.182282
- 2022-02-12 16:14:36,810 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177551, best_loss=0.177413
- 2022-02-12 16:14:36,811 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.647499322891235s
- 2022-02-12 16:14:36,811 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:14:36,811 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:14:36,811 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 131
- 2022-02-12 16:14:36,924 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163196 Loss2 0.347199
- 2022-02-12 16:14:52,599 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191166, best_loss=0.182282
- 2022-02-12 16:14:53,659 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177603, best_loss=0.177413
- 2022-02-12 16:14:53,660 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.848501682281494s
- 2022-02-12 16:14:53,660 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:14:53,660 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:14:53,660 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 132
- 2022-02-12 16:14:53,786 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178948 Loss2 0.386206
- 2022-02-12 16:15:09,151 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190602, best_loss=0.182282
- 2022-02-12 16:15:10,213 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177592, best_loss=0.177413
- 2022-02-12 16:15:10,214 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.553500413894653s
- 2022-02-12 16:15:10,214 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:15:10,214 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:15:10,214 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 133
- 2022-02-12 16:15:10,350 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168889 Loss2 0.359971
- 2022-02-12 16:15:25,802 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191274, best_loss=0.182282
- 2022-02-12 16:15:26,863 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177564, best_loss=0.177413
- 2022-02-12 16:15:26,864 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.649500370025635s
- 2022-02-12 16:15:26,864 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:15:26,864 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:15:26,864 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 134
- 2022-02-12 16:15:26,993 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148908 Loss2 0.325713
- 2022-02-12 16:15:42,407 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190368, best_loss=0.182282
- 2022-02-12 16:15:43,482 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177615, best_loss=0.177413
- 2022-02-12 16:15:43,483 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.618501901626587s
- 2022-02-12 16:15:43,483 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:15:43,483 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:15:43,483 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 135
- 2022-02-12 16:15:43,591 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145906 Loss2 0.307198
- 2022-02-12 16:15:58,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190786, best_loss=0.182282
- 2022-02-12 16:15:59,893 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177597, best_loss=0.177413
- 2022-02-12 16:15:59,893 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.409999132156372s
- 2022-02-12 16:15:59,893 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:15:59,893 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:15:59,893 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 136
- 2022-02-12 16:16:00,006 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166777 Loss2 0.318278
- 2022-02-12 16:16:15,464 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189128, best_loss=0.182282
- 2022-02-12 16:16:16,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177649, best_loss=0.177413
- 2022-02-12 16:16:16,555 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.661999464035034s
- 2022-02-12 16:16:16,555 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:16:16,555 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:16:16,555 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 137
- 2022-02-12 16:16:16,680 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169339 Loss2 0.328417
- 2022-02-12 16:16:32,192 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189840, best_loss=0.182282
- 2022-02-12 16:16:33,255 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177776, best_loss=0.177413
- 2022-02-12 16:16:33,256 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.701001167297363s
- 2022-02-12 16:16:33,256 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:16:33,256 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:16:33,256 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 138
- 2022-02-12 16:16:33,376 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169787 Loss2 0.358508
- 2022-02-12 16:16:48,835 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189834, best_loss=0.182282
- 2022-02-12 16:16:49,913 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177757, best_loss=0.177413
- 2022-02-12 16:16:49,914 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.657498836517334s
- 2022-02-12 16:16:49,914 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:16:49,914 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:16:49,914 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 139
- 2022-02-12 16:16:50,020 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152088 Loss2 0.326550
- 2022-02-12 16:17:05,508 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189101, best_loss=0.182282
- 2022-02-12 16:17:06,576 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177623, best_loss=0.177413
- 2022-02-12 16:17:06,577 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66249990463257s
- 2022-02-12 16:17:06,577 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:17:06,577 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:17:06,577 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 140
- 2022-02-12 16:17:06,700 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158560 Loss2 0.319144
- 2022-02-12 16:17:22,156 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189999, best_loss=0.182282
- 2022-02-12 16:17:23,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177660, best_loss=0.177413
- 2022-02-12 16:17:23,227 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.650500059127808s
- 2022-02-12 16:17:23,227 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:17:23,227 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:17:23,228 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 141
- 2022-02-12 16:17:23,339 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167031 Loss2 0.341750
- 2022-02-12 16:17:38,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188826, best_loss=0.182282
- 2022-02-12 16:17:39,746 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177583, best_loss=0.177413
- 2022-02-12 16:17:39,747 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.518972635269165s
- 2022-02-12 16:17:39,747 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:17:39,747 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:17:39,747 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 142
- 2022-02-12 16:17:39,867 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172921 Loss2 0.331073
- 2022-02-12 16:17:55,418 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188946, best_loss=0.182282
- 2022-02-12 16:17:56,484 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177557, best_loss=0.177413
- 2022-02-12 16:17:56,485 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73750138282776s
- 2022-02-12 16:17:56,485 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:17:56,485 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:17:56,485 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 143
- 2022-02-12 16:17:56,596 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158639 Loss2 0.310689
- 2022-02-12 16:18:12,125 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189916, best_loss=0.182282
- 2022-02-12 16:18:13,198 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177442, best_loss=0.177413
- 2022-02-12 16:18:13,199 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71350073814392s
- 2022-02-12 16:18:13,199 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:18:13,199 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:18:13,199 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 144
- 2022-02-12 16:18:13,317 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174334 Loss2 0.329422
- 2022-02-12 16:18:28,725 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189432, best_loss=0.182282
- 2022-02-12 16:18:29,784 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177375, best_loss=0.177413
- 2022-02-12 16:18:29,812 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:18:29,813 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.613499641418457s
- 2022-02-12 16:18:29,813 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:18:29,813 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:18:29,813 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 145
- 2022-02-12 16:18:29,934 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.135826 Loss2 0.289301
- 2022-02-12 16:18:45,599 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188255, best_loss=0.182282
- 2022-02-12 16:18:46,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177424, best_loss=0.177375
- 2022-02-12 16:18:46,675 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.861501455307007s
- 2022-02-12 16:18:46,675 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:18:46,675 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:18:46,675 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 146
- 2022-02-12 16:18:46,789 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152871 Loss2 0.312468
- 2022-02-12 16:19:02,264 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188878, best_loss=0.182282
- 2022-02-12 16:19:03,336 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177382, best_loss=0.177375
- 2022-02-12 16:19:03,337 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.661998987197876s
- 2022-02-12 16:19:03,337 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:19:03,337 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:19:03,337 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 147
- 2022-02-12 16:19:03,459 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157407 Loss2 0.345944
- 2022-02-12 16:19:18,978 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189416, best_loss=0.182282
- 2022-02-12 16:19:20,044 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177356, best_loss=0.177375
- 2022-02-12 16:19:20,071 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:19:20,071 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.733999729156494s
- 2022-02-12 16:19:20,071 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:19:20,071 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:19:20,071 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 148
- 2022-02-12 16:19:20,197 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159549 Loss2 0.338345
- 2022-02-12 16:19:35,707 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189696, best_loss=0.182282
- 2022-02-12 16:19:36,782 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177395, best_loss=0.177356
- 2022-02-12 16:19:36,783 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71100115776062s
- 2022-02-12 16:19:36,783 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:19:36,783 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:19:36,783 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 149
- 2022-02-12 16:19:36,894 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146633 Loss2 0.310259
- 2022-02-12 16:19:52,547 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189449, best_loss=0.182282
- 2022-02-12 16:19:53,621 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177405, best_loss=0.177356
- 2022-02-12 16:19:53,622 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.838500261306763s
- 2022-02-12 16:19:53,622 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:19:53,622 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:19:53,622 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 150
- 2022-02-12 16:19:53,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152427 Loss2 0.330030
- 2022-02-12 16:20:09,278 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189402, best_loss=0.182282
- 2022-02-12 16:20:10,350 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177332, best_loss=0.177356
- 2022-02-12 16:20:10,380 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:20:10,381 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.758998155593872s
- 2022-02-12 16:20:10,381 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:20:10,381 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:20:10,381 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 151
- 2022-02-12 16:20:10,496 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138847 Loss2 0.300557
- 2022-02-12 16:20:26,050 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189302, best_loss=0.182282
- 2022-02-12 16:20:27,125 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177427, best_loss=0.177332
- 2022-02-12 16:20:27,125 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.744000911712646s
- 2022-02-12 16:20:27,125 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:20:27,125 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:20:27,126 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 152
- 2022-02-12 16:20:27,241 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141598 Loss2 0.316289
- 2022-02-12 16:20:42,791 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189044, best_loss=0.182282
- 2022-02-12 16:20:43,863 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177511, best_loss=0.177332
- 2022-02-12 16:20:43,864 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.737998247146606s
- 2022-02-12 16:20:43,864 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:20:43,864 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:20:43,864 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 153
- 2022-02-12 16:20:43,973 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155826 Loss2 0.314935
- 2022-02-12 16:20:59,307 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188923, best_loss=0.182282
- 2022-02-12 16:21:00,384 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177474, best_loss=0.177332
- 2022-02-12 16:21:00,384 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.519998788833618s
- 2022-02-12 16:21:00,384 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:21:00,384 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:21:00,384 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 154
- 2022-02-12 16:21:00,496 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139361 Loss2 0.337582
- 2022-02-12 16:21:15,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189307, best_loss=0.182282
- 2022-02-12 16:21:16,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177497, best_loss=0.177332
- 2022-02-12 16:21:16,970 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.586002349853516s
- 2022-02-12 16:21:16,970 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:21:16,970 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:21:16,970 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 155
- 2022-02-12 16:21:17,086 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.131350 Loss2 0.296493
- 2022-02-12 16:21:32,560 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189879, best_loss=0.182282
- 2022-02-12 16:21:33,629 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177729, best_loss=0.177332
- 2022-02-12 16:21:33,630 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.659499883651733s
- 2022-02-12 16:21:33,630 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:21:33,630 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:21:33,630 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 156
- 2022-02-12 16:21:33,752 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159723 Loss2 0.359562
- 2022-02-12 16:21:49,186 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189268, best_loss=0.182282
- 2022-02-12 16:21:50,261 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177730, best_loss=0.177332
- 2022-02-12 16:21:50,261 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.631000518798828s
- 2022-02-12 16:21:50,261 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:21:50,261 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:21:50,261 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 157
- 2022-02-12 16:21:50,380 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167811 Loss2 0.358903
- 2022-02-12 16:22:05,889 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188775, best_loss=0.182282
- 2022-02-12 16:22:06,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177733, best_loss=0.177332
- 2022-02-12 16:22:06,965 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.703998565673828s
- 2022-02-12 16:22:06,965 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:22:06,965 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:22:06,965 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 158
- 2022-02-12 16:22:07,081 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157380 Loss2 0.336469
- 2022-02-12 16:22:22,787 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189371, best_loss=0.182282
- 2022-02-12 16:22:23,869 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177754, best_loss=0.177332
- 2022-02-12 16:22:23,870 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.904500246047974s
- 2022-02-12 16:22:23,870 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:22:23,870 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:22:23,870 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 159
- 2022-02-12 16:22:23,984 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162032 Loss2 0.336845
- 2022-02-12 16:22:39,388 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189073, best_loss=0.182282
- 2022-02-12 16:22:40,456 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177790, best_loss=0.177332
- 2022-02-12 16:22:40,457 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58650040626526s
- 2022-02-12 16:22:40,457 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:22:40,457 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:22:40,457 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 160
- 2022-02-12 16:22:40,569 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157944 Loss2 0.325380
- 2022-02-12 16:22:56,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189225, best_loss=0.182282
- 2022-02-12 16:22:57,230 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177887, best_loss=0.177332
- 2022-02-12 16:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.773998737335205s
- 2022-02-12 16:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 161
- 2022-02-12 16:22:57,342 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138933 Loss2 0.313890
- 2022-02-12 16:23:12,791 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189140, best_loss=0.182282
- 2022-02-12 16:23:13,854 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177956, best_loss=0.177332
- 2022-02-12 16:23:13,855 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.623502016067505s
- 2022-02-12 16:23:13,855 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:23:13,855 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:23:13,855 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 162
- 2022-02-12 16:23:13,978 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147594 Loss2 0.336791
- 2022-02-12 16:23:29,327 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189131, best_loss=0.182282
- 2022-02-12 16:23:30,396 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177847, best_loss=0.177332
- 2022-02-12 16:23:30,397 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.541499376296997s
- 2022-02-12 16:23:30,397 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:23:30,397 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:23:30,397 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 163
- 2022-02-12 16:23:30,517 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141650 Loss2 0.313537
- 2022-02-12 16:23:45,862 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188628, best_loss=0.182282
- 2022-02-12 16:23:46,947 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177868, best_loss=0.177332
- 2022-02-12 16:23:46,947 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.550501823425293s
- 2022-02-12 16:23:46,947 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:23:46,947 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:23:46,947 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 164
- 2022-02-12 16:23:47,058 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178286 Loss2 0.383369
- 2022-02-12 16:24:02,716 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188969, best_loss=0.182282
- 2022-02-12 16:24:03,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177769, best_loss=0.177332
- 2022-02-12 16:24:03,804 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.85649824142456s
- 2022-02-12 16:24:03,804 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:24:03,804 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:24:03,804 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 165
- 2022-02-12 16:24:03,931 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139099 Loss2 0.289514
- 2022-02-12 16:24:19,375 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188654, best_loss=0.182282
- 2022-02-12 16:24:20,437 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177857, best_loss=0.177332
- 2022-02-12 16:24:20,437 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.633000373840332s
- 2022-02-12 16:24:20,438 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:24:20,438 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:24:20,438 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 166
- 2022-02-12 16:24:20,559 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138116 Loss2 0.287412
- 2022-02-12 16:24:36,149 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189279, best_loss=0.182282
- 2022-02-12 16:24:37,223 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177835, best_loss=0.177332
- 2022-02-12 16:24:37,224 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.78599977493286s
- 2022-02-12 16:24:37,224 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:24:37,224 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:24:37,224 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 167
- 2022-02-12 16:24:37,347 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159412 Loss2 0.317115
- 2022-02-12 16:24:52,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188926, best_loss=0.182282
- 2022-02-12 16:24:54,007 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177755, best_loss=0.177332
- 2022-02-12 16:24:54,007 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.783499717712402s
- 2022-02-12 16:24:54,008 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:24:54,008 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:24:54,008 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 168
- 2022-02-12 16:24:54,122 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172389 Loss2 0.347987
- 2022-02-12 16:25:09,601 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188126, best_loss=0.182282
- 2022-02-12 16:25:10,675 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177836, best_loss=0.177332
- 2022-02-12 16:25:10,675 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.667500257492065s
- 2022-02-12 16:25:10,675 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:25:10,675 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:25:10,675 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 169
- 2022-02-12 16:25:10,786 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142185 Loss2 0.313296
- 2022-02-12 16:25:26,293 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188450, best_loss=0.182282
- 2022-02-12 16:25:27,369 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177878, best_loss=0.177332
- 2022-02-12 16:25:27,369 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.694000482559204s
- 2022-02-12 16:25:27,369 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:25:27,369 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:25:27,369 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 170
- 2022-02-12 16:25:27,486 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150241 Loss2 0.323119
- 2022-02-12 16:25:43,009 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189670, best_loss=0.182282
- 2022-02-12 16:25:44,073 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177860, best_loss=0.177332
- 2022-02-12 16:25:44,074 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7040011882782s
- 2022-02-12 16:25:44,074 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:25:44,074 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:25:44,074 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 171
- 2022-02-12 16:25:44,193 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145275 Loss2 0.298571
- 2022-02-12 16:25:59,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188600, best_loss=0.182282
- 2022-02-12 16:26:00,742 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177907, best_loss=0.177332
- 2022-02-12 16:26:00,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66900062561035s
- 2022-02-12 16:26:00,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:26:00,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:26:00,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 172
- 2022-02-12 16:26:00,865 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145516 Loss2 0.278421
- 2022-02-12 16:26:16,372 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188183, best_loss=0.182282
- 2022-02-12 16:26:17,439 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177933, best_loss=0.177332
- 2022-02-12 16:26:17,440 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.696999549865723s
- 2022-02-12 16:26:17,440 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:26:17,440 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:26:17,440 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 173
- 2022-02-12 16:26:17,553 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158231 Loss2 0.338359
- 2022-02-12 16:26:33,202 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188587, best_loss=0.182282
- 2022-02-12 16:26:34,268 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178086, best_loss=0.177332
- 2022-02-12 16:26:34,269 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.828500032424927s
- 2022-02-12 16:26:34,269 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:26:34,269 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:26:34,269 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 174
- 2022-02-12 16:26:34,391 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155436 Loss2 0.315815
- 2022-02-12 16:26:49,964 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188438, best_loss=0.182282
- 2022-02-12 16:26:51,046 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178043, best_loss=0.177332
- 2022-02-12 16:26:51,047 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.778000831604004s
- 2022-02-12 16:26:51,047 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:26:51,047 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:26:51,047 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 175
- 2022-02-12 16:26:51,163 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161942 Loss2 0.352883
- 2022-02-12 16:27:06,814 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188784, best_loss=0.182282
- 2022-02-12 16:27:07,887 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178101, best_loss=0.177332
- 2022-02-12 16:27:07,887 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.840000867843628s
- 2022-02-12 16:27:07,887 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:27:07,888 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:27:07,888 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 176
- 2022-02-12 16:27:08,018 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154108 Loss2 0.317729
- 2022-02-12 16:27:23,414 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188629, best_loss=0.182282
- 2022-02-12 16:27:24,487 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178064, best_loss=0.177332
- 2022-02-12 16:27:24,487 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.599498987197876s
- 2022-02-12 16:27:24,487 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:27:24,487 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:27:24,487 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 177
- 2022-02-12 16:27:24,600 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149715 Loss2 0.318288
- 2022-02-12 16:27:40,041 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188309, best_loss=0.182282
- 2022-02-12 16:27:41,119 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177979, best_loss=0.177332
- 2022-02-12 16:27:41,120 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63300085067749s
- 2022-02-12 16:27:41,120 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:27:41,120 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:27:41,120 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 178
- 2022-02-12 16:27:41,235 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139465 Loss2 0.323779
- 2022-02-12 16:27:56,839 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190428, best_loss=0.182282
- 2022-02-12 16:27:57,919 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177932, best_loss=0.177332
- 2022-02-12 16:27:57,920 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.799500465393066s
- 2022-02-12 16:27:57,920 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:27:57,920 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:27:57,920 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 179
- 2022-02-12 16:27:58,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153425 Loss2 0.319449
- 2022-02-12 16:28:13,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188581, best_loss=0.182282
- 2022-02-12 16:28:14,637 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178017, best_loss=0.177332
- 2022-02-12 16:28:14,638 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71750044822693s
- 2022-02-12 16:28:14,638 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:28:14,638 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:28:14,638 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 180
- 2022-02-12 16:28:14,756 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167436 Loss2 0.322237
- 2022-02-12 16:28:30,169 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188557, best_loss=0.182282
- 2022-02-12 16:28:31,251 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177973, best_loss=0.177332
- 2022-02-12 16:28:31,251 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.613502979278564s
- 2022-02-12 16:28:31,251 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:28:31,251 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:28:31,251 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 181
- 2022-02-12 16:28:31,360 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150629 Loss2 0.352248
- 2022-02-12 16:28:46,836 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189341, best_loss=0.182282
- 2022-02-12 16:28:47,912 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178014, best_loss=0.177332
- 2022-02-12 16:28:47,912 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6609947681427s
- 2022-02-12 16:28:47,913 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:28:47,913 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:28:47,913 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 182
- 2022-02-12 16:28:48,029 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154738 Loss2 0.342690
- 2022-02-12 16:29:03,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189098, best_loss=0.182282
- 2022-02-12 16:29:04,683 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177959, best_loss=0.177332
- 2022-02-12 16:29:04,683 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.770501852035522s
- 2022-02-12 16:29:04,683 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:29:04,683 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:29:04,683 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 183
- 2022-02-12 16:29:04,800 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146905 Loss2 0.295116
- 2022-02-12 16:29:20,436 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189894, best_loss=0.182282
- 2022-02-12 16:29:21,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177927, best_loss=0.177332
- 2022-02-12 16:29:21,500 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.816001892089844s
- 2022-02-12 16:29:21,500 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:29:21,500 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:29:21,500 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 184
- 2022-02-12 16:29:21,606 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.128263 Loss2 0.282078
- 2022-02-12 16:29:37,090 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188597, best_loss=0.182282
- 2022-02-12 16:29:38,180 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177940, best_loss=0.177332
- 2022-02-12 16:29:38,181 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68099856376648s
- 2022-02-12 16:29:38,181 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:29:38,181 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:29:38,181 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 185
- 2022-02-12 16:29:38,297 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170147 Loss2 0.353785
- 2022-02-12 16:29:53,928 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188213, best_loss=0.182282
- 2022-02-12 16:29:54,988 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178007, best_loss=0.177332
- 2022-02-12 16:29:54,989 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.807999849319458s
- 2022-02-12 16:29:54,989 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:29:54,989 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:29:54,989 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 186
- 2022-02-12 16:29:55,116 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143010 Loss2 0.278193
- 2022-02-12 16:30:10,606 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188665, best_loss=0.182282
- 2022-02-12 16:30:11,671 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177967, best_loss=0.177332
- 2022-02-12 16:30:11,672 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.682498931884766s
- 2022-02-12 16:30:11,672 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:30:11,672 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:30:11,672 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 187
- 2022-02-12 16:30:11,799 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147581 Loss2 0.315413
- 2022-02-12 16:30:27,153 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187886, best_loss=0.182282
- 2022-02-12 16:30:28,222 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178001, best_loss=0.177332
- 2022-02-12 16:30:28,222 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.550499200820923s
- 2022-02-12 16:30:28,222 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:30:28,222 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:30:28,222 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 188
- 2022-02-12 16:30:28,346 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141461 Loss2 0.303702
- 2022-02-12 16:30:43,763 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187829, best_loss=0.182282
- 2022-02-12 16:30:44,847 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177919, best_loss=0.177332
- 2022-02-12 16:30:44,848 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.625001668930054s
- 2022-02-12 16:30:44,848 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:30:44,848 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:30:44,848 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 189
- 2022-02-12 16:30:44,967 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147351 Loss2 0.348643
- 2022-02-12 16:31:00,443 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188467, best_loss=0.182282
- 2022-02-12 16:31:01,524 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178054, best_loss=0.177332
- 2022-02-12 16:31:01,525 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6764976978302s
- 2022-02-12 16:31:01,525 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:31:01,525 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:31:01,525 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 190
- 2022-02-12 16:31:01,634 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146776 Loss2 0.322043
- 2022-02-12 16:31:17,246 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188323, best_loss=0.182282
- 2022-02-12 16:31:18,323 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178181, best_loss=0.177332
- 2022-02-12 16:31:18,323 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7979998588562s
- 2022-02-12 16:31:18,323 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:31:18,323 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:31:18,323 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 191
- 2022-02-12 16:31:18,430 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163722 Loss2 0.319980
- 2022-02-12 16:31:33,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188339, best_loss=0.182282
- 2022-02-12 16:31:35,033 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178066, best_loss=0.177332
- 2022-02-12 16:31:35,034 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.710001230239868s
- 2022-02-12 16:31:35,034 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:31:35,034 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:31:35,034 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 192
- 2022-02-12 16:31:35,151 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145505 Loss2 0.332961
- 2022-02-12 16:31:50,459 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188295, best_loss=0.182282
- 2022-02-12 16:31:51,531 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178119, best_loss=0.177332
- 2022-02-12 16:31:51,532 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.498000621795654s
- 2022-02-12 16:31:51,532 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:31:51,532 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:31:51,532 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 193
- 2022-02-12 16:31:51,645 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144562 Loss2 0.326915
- 2022-02-12 16:32:07,293 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188176, best_loss=0.182282
- 2022-02-12 16:32:08,364 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178072, best_loss=0.177332
- 2022-02-12 16:32:08,364 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.832000255584717s
- 2022-02-12 16:32:08,364 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:32:08,364 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:32:08,364 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 194
- 2022-02-12 16:32:08,481 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149052 Loss2 0.291386
- 2022-02-12 16:32:23,982 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187580, best_loss=0.182282
- 2022-02-12 16:32:25,044 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178091, best_loss=0.177332
- 2022-02-12 16:32:25,044 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68000030517578s
- 2022-02-12 16:32:25,044 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:32:25,045 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:32:25,045 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 195
- 2022-02-12 16:32:25,165 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154084 Loss2 0.329867
- 2022-02-12 16:32:40,617 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189397, best_loss=0.182282
- 2022-02-12 16:32:41,688 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178064, best_loss=0.177332
- 2022-02-12 16:32:41,688 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64350390434265s
- 2022-02-12 16:32:41,688 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:32:41,689 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:32:41,689 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 196
- 2022-02-12 16:32:41,793 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.130369 Loss2 0.311099
- 2022-02-12 16:32:57,282 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188225, best_loss=0.182282
- 2022-02-12 16:32:58,355 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178037, best_loss=0.177332
- 2022-02-12 16:32:58,355 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.666497945785522s
- 2022-02-12 16:32:58,355 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:32:58,355 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:32:58,355 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 197
- 2022-02-12 16:32:58,464 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162012 Loss2 0.317520
- 2022-02-12 16:33:13,871 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188771, best_loss=0.182282
- 2022-02-12 16:33:14,948 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178075, best_loss=0.177332
- 2022-02-12 16:33:14,949 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.593499660491943s
- 2022-02-12 16:33:14,949 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:33:14,949 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:33:14,949 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 198
- 2022-02-12 16:33:15,069 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160156 Loss2 0.350573
- 2022-02-12 16:33:30,477 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187949, best_loss=0.182282
- 2022-02-12 16:33:31,554 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178167, best_loss=0.177332
- 2022-02-12 16:33:31,554 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.605498790740967s
- 2022-02-12 16:33:31,554 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:33:31,554 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:33:31,555 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 199
- 2022-02-12 16:33:31,669 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153203 Loss2 0.331307
- 2022-02-12 16:33:47,063 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188227, best_loss=0.182282
- 2022-02-12 16:33:48,136 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.178257, best_loss=0.177332
- 2022-02-12 16:33:48,137 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.582501888275146s
- 2022-02-12 16:33:48,137 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:33:48,213 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:33:48,213 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 0
- 2022-02-12 16:33:48,346 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.134610 Loss2 0.315617
- 2022-02-12 16:34:03,922 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.179812, best_loss=0.182282
- 2022-02-12 16:34:03,951 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:34:05,029 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177406, best_loss=0.177332
- 2022-02-12 16:34:05,029 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.815997838974s
- 2022-02-12 16:34:05,029 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:34:05,030 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:34:05,030 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 1
- 2022-02-12 16:34:05,159 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149603 Loss2 0.293193
- 2022-02-12 16:34:20,619 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.182935, best_loss=0.179812
- 2022-02-12 16:34:21,686 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177401, best_loss=0.177332
- 2022-02-12 16:34:21,687 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.65699815750122s
- 2022-02-12 16:34:21,687 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:34:21,687 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:34:21,687 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 2
- 2022-02-12 16:34:21,796 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143185 Loss2 0.318407
- 2022-02-12 16:34:37,370 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185025, best_loss=0.179812
- 2022-02-12 16:34:38,458 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177552, best_loss=0.177332
- 2022-02-12 16:34:38,458 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.77100133895874s
- 2022-02-12 16:34:38,458 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:34:38,458 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:34:38,458 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 3
- 2022-02-12 16:34:38,575 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146805 Loss2 0.354537
- 2022-02-12 16:34:54,169 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186997, best_loss=0.179812
- 2022-02-12 16:34:55,240 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177594, best_loss=0.177332
- 2022-02-12 16:34:55,241 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.782499074935913s
- 2022-02-12 16:34:55,241 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:34:55,241 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:34:55,241 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 4
- 2022-02-12 16:34:55,351 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142555 Loss2 0.320697
- 2022-02-12 16:35:10,769 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191212, best_loss=0.179812
- 2022-02-12 16:35:11,831 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177668, best_loss=0.177332
- 2022-02-12 16:35:11,832 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59049940109253s
- 2022-02-12 16:35:11,832 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:35:11,832 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:35:11,832 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 5
- 2022-02-12 16:35:11,954 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161602 Loss2 0.341243
- 2022-02-12 16:35:27,403 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193360, best_loss=0.179812
- 2022-02-12 16:35:28,478 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177758, best_loss=0.177332
- 2022-02-12 16:35:28,479 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.646999835968018s
- 2022-02-12 16:35:28,479 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:35:28,479 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:35:28,479 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 6
- 2022-02-12 16:35:28,596 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161176 Loss2 0.338907
- 2022-02-12 16:35:44,242 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195962, best_loss=0.179812
- 2022-02-12 16:35:45,313 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177624, best_loss=0.177332
- 2022-02-12 16:35:45,314 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.83450198173523s
- 2022-02-12 16:35:45,314 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:35:45,314 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:35:45,314 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 7
- 2022-02-12 16:35:45,434 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177115 Loss2 0.361615
- 2022-02-12 16:36:00,845 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196650, best_loss=0.179812
- 2022-02-12 16:36:01,919 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177721, best_loss=0.177332
- 2022-02-12 16:36:01,920 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.605998277664185s
- 2022-02-12 16:36:01,920 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:36:01,920 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:36:01,920 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 8
- 2022-02-12 16:36:02,042 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165617 Loss2 0.335611
- 2022-02-12 16:36:17,697 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196914, best_loss=0.179812
- 2022-02-12 16:36:18,775 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177756, best_loss=0.177332
- 2022-02-12 16:36:18,776 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.8559992313385s
- 2022-02-12 16:36:18,776 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:36:18,776 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:36:18,776 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 9
- 2022-02-12 16:36:18,883 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153635 Loss2 0.318023
- 2022-02-12 16:36:34,436 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195773, best_loss=0.179812
- 2022-02-12 16:36:35,498 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177591, best_loss=0.177332
- 2022-02-12 16:36:35,498 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.722001314163208s
- 2022-02-12 16:36:35,498 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:36:35,498 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:36:35,498 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 10
- 2022-02-12 16:36:35,615 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.177837 Loss2 0.367675
- 2022-02-12 16:36:50,986 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.196486, best_loss=0.179812
- 2022-02-12 16:36:52,068 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177513, best_loss=0.177332
- 2022-02-12 16:36:52,069 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.570499897003174s
- 2022-02-12 16:36:52,069 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:36:52,069 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:36:52,069 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 11
- 2022-02-12 16:36:52,196 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181541 Loss2 0.385875
- 2022-02-12 16:37:07,744 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195688, best_loss=0.179812
- 2022-02-12 16:37:08,808 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177432, best_loss=0.177332
- 2022-02-12 16:37:08,808 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.738999128341675s
- 2022-02-12 16:37:08,809 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:37:08,809 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:37:08,809 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 12
- 2022-02-12 16:37:08,932 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169288 Loss2 0.321848
- 2022-02-12 16:37:24,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195984, best_loss=0.179812
- 2022-02-12 16:37:25,657 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177327, best_loss=0.177332
- 2022-02-12 16:37:25,688 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:37:25,689 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.880000114440918s
- 2022-02-12 16:37:25,689 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:37:25,689 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:37:25,689 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 13
- 2022-02-12 16:37:25,795 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181455 Loss2 0.402375
- 2022-02-12 16:37:41,305 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195223, best_loss=0.179812
- 2022-02-12 16:37:42,396 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177383, best_loss=0.177327
- 2022-02-12 16:37:42,397 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.707998037338257s
- 2022-02-12 16:37:42,397 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:37:42,397 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:37:42,397 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 14
- 2022-02-12 16:37:42,527 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157657 Loss2 0.339797
- 2022-02-12 16:37:57,963 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194695, best_loss=0.179812
- 2022-02-12 16:37:59,034 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177265, best_loss=0.177327
- 2022-02-12 16:37:59,060 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:37:59,061 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.663501739501953s
- 2022-02-12 16:37:59,061 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:37:59,061 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:37:59,061 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 15
- 2022-02-12 16:37:59,184 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167351 Loss2 0.353801
- 2022-02-12 16:38:14,724 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194127, best_loss=0.179812
- 2022-02-12 16:38:15,791 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177253, best_loss=0.177265
- 2022-02-12 16:38:15,819 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:38:15,820 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.758500814437866s
- 2022-02-12 16:38:15,820 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:38:15,820 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:38:15,820 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 16
- 2022-02-12 16:38:15,942 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171270 Loss2 0.346885
- 2022-02-12 16:38:31,355 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.195430, best_loss=0.179812
- 2022-02-12 16:38:32,469 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177118, best_loss=0.177253
- 2022-02-12 16:38:32,501 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:38:32,501 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68149971961975s
- 2022-02-12 16:38:32,501 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:38:32,502 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:38:32,502 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 17
- 2022-02-12 16:38:32,622 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170257 Loss2 0.366046
- 2022-02-12 16:38:47,973 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193643, best_loss=0.179812
- 2022-02-12 16:38:49,050 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177019, best_loss=0.177118
- 2022-02-12 16:38:49,076 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:38:49,077 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.57500123977661s
- 2022-02-12 16:38:49,077 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:38:49,077 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:38:49,077 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 18
- 2022-02-12 16:38:49,200 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162535 Loss2 0.345377
- 2022-02-12 16:39:04,789 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193370, best_loss=0.179812
- 2022-02-12 16:39:05,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176921, best_loss=0.177019
- 2022-02-12 16:39:05,882 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:39:05,883 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.80550265312195s
- 2022-02-12 16:39:05,883 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:39:05,883 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:39:05,883 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 19
- 2022-02-12 16:39:06,001 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151226 Loss2 0.316181
- 2022-02-12 16:39:21,444 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194316, best_loss=0.179812
- 2022-02-12 16:39:22,540 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176852, best_loss=0.176921
- 2022-02-12 16:39:22,570 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:39:22,571 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.687499523162842s
- 2022-02-12 16:39:22,571 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:39:22,571 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:39:22,571 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 20
- 2022-02-12 16:39:22,696 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154557 Loss2 0.326474
- 2022-02-12 16:39:38,268 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194320, best_loss=0.179812
- 2022-02-12 16:39:39,337 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176908, best_loss=0.176852
- 2022-02-12 16:39:39,338 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.767001152038574s
- 2022-02-12 16:39:39,338 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:39:39,338 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:39:39,338 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 21
- 2022-02-12 16:39:39,443 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171290 Loss2 0.339110
- 2022-02-12 16:39:54,894 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193934, best_loss=0.179812
- 2022-02-12 16:39:55,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176883, best_loss=0.176852
- 2022-02-12 16:39:55,970 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.631996870040894s
- 2022-02-12 16:39:55,970 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:39:55,970 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:39:55,970 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 22
- 2022-02-12 16:39:56,093 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165473 Loss2 0.308141
- 2022-02-12 16:40:11,510 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193671, best_loss=0.179812
- 2022-02-12 16:40:12,604 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176743, best_loss=0.176852
- 2022-02-12 16:40:12,633 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:40:12,634 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.663501739501953s
- 2022-02-12 16:40:12,634 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:40:12,634 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:40:12,634 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 23
- 2022-02-12 16:40:12,750 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158224 Loss2 0.328494
- 2022-02-12 16:40:28,146 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194999, best_loss=0.179812
- 2022-02-12 16:40:29,216 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176762, best_loss=0.176743
- 2022-02-12 16:40:29,217 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.582998752593994s
- 2022-02-12 16:40:29,217 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:40:29,217 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:40:29,217 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 24
- 2022-02-12 16:40:29,333 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154863 Loss2 0.315538
- 2022-02-12 16:40:44,820 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193778, best_loss=0.179812
- 2022-02-12 16:40:45,898 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176761, best_loss=0.176743
- 2022-02-12 16:40:45,899 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68200159072876s
- 2022-02-12 16:40:45,899 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:40:45,899 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:40:45,899 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 25
- 2022-02-12 16:40:46,009 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151309 Loss2 0.308754
- 2022-02-12 16:41:01,347 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194995, best_loss=0.179812
- 2022-02-12 16:41:02,459 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176630, best_loss=0.176743
- 2022-02-12 16:41:02,491 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:41:02,492 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.592499256134033s
- 2022-02-12 16:41:02,492 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:41:02,492 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:41:02,492 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 26
- 2022-02-12 16:41:02,624 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.198665 Loss2 0.370368
- 2022-02-12 16:41:18,290 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194446, best_loss=0.179812
- 2022-02-12 16:41:19,364 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176632, best_loss=0.176630
- 2022-02-12 16:41:19,365 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.8725004196167s
- 2022-02-12 16:41:19,365 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:41:19,365 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:41:19,365 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 27
- 2022-02-12 16:41:19,488 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157498 Loss2 0.312895
- 2022-02-12 16:41:35,180 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194093, best_loss=0.179812
- 2022-02-12 16:41:36,239 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176737, best_loss=0.176630
- 2022-02-12 16:41:36,239 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.874499320983887s
- 2022-02-12 16:41:36,239 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:41:36,240 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:41:36,240 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 28
- 2022-02-12 16:41:36,352 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165097 Loss2 0.357355
- 2022-02-12 16:41:51,674 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193549, best_loss=0.179812
- 2022-02-12 16:41:52,798 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176678, best_loss=0.176630
- 2022-02-12 16:41:52,799 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55900263786316s
- 2022-02-12 16:41:52,799 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:41:52,799 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:41:52,799 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 29
- 2022-02-12 16:41:52,921 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149971 Loss2 0.306190
- 2022-02-12 16:42:08,350 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194338, best_loss=0.179812
- 2022-02-12 16:42:09,441 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176705, best_loss=0.176630
- 2022-02-12 16:42:09,441 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.641998052597046s
- 2022-02-12 16:42:09,441 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:42:09,441 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:42:09,441 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 30
- 2022-02-12 16:42:09,557 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170585 Loss2 0.352301
- 2022-02-12 16:42:24,957 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192011, best_loss=0.179812
- 2022-02-12 16:42:26,037 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176681, best_loss=0.176630
- 2022-02-12 16:42:26,038 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.596501350402832s
- 2022-02-12 16:42:26,038 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:42:26,038 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:42:26,038 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 31
- 2022-02-12 16:42:26,145 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181141 Loss2 0.338934
- 2022-02-12 16:42:41,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193340, best_loss=0.179812
- 2022-02-12 16:42:42,729 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176617, best_loss=0.176630
- 2022-02-12 16:42:42,759 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:42:42,760 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.72150158882141s
- 2022-02-12 16:42:42,760 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:42:42,760 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:42:42,760 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 32
- 2022-02-12 16:42:42,880 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167255 Loss2 0.344980
- 2022-02-12 16:42:58,356 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194478, best_loss=0.179812
- 2022-02-12 16:42:59,424 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176681, best_loss=0.176617
- 2022-02-12 16:42:59,425 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.664998054504395s
- 2022-02-12 16:42:59,425 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:42:59,425 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:42:59,425 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 33
- 2022-02-12 16:42:59,536 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171696 Loss2 0.360063
- 2022-02-12 16:43:15,013 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193723, best_loss=0.179812
- 2022-02-12 16:43:16,087 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176621, best_loss=0.176617
- 2022-02-12 16:43:16,088 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66300106048584s
- 2022-02-12 16:43:16,088 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:43:16,088 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:43:16,088 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 34
- 2022-02-12 16:43:16,197 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162517 Loss2 0.328684
- 2022-02-12 16:43:31,543 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192976, best_loss=0.179812
- 2022-02-12 16:43:32,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176623, best_loss=0.176617
- 2022-02-12 16:43:32,673 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.585502862930298s
- 2022-02-12 16:43:32,673 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:43:32,673 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:43:32,673 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 35
- 2022-02-12 16:43:32,801 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162962 Loss2 0.311524
- 2022-02-12 16:43:48,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193140, best_loss=0.179812
- 2022-02-12 16:43:49,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176647, best_loss=0.176617
- 2022-02-12 16:43:49,228 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55452799797058s
- 2022-02-12 16:43:49,228 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:43:49,228 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:43:49,228 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 36
- 2022-02-12 16:43:49,350 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152931 Loss2 0.314685
- 2022-02-12 16:44:04,992 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193323, best_loss=0.179812
- 2022-02-12 16:44:06,058 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176617, best_loss=0.176617
- 2022-02-12 16:44:06,084 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:44:06,084 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.856469869613647s
- 2022-02-12 16:44:06,084 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:44:06,084 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:44:06,084 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 37
- 2022-02-12 16:44:06,214 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157472 Loss2 0.334046
- 2022-02-12 16:44:21,594 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193582, best_loss=0.179812
- 2022-02-12 16:44:22,691 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176582, best_loss=0.176617
- 2022-02-12 16:44:22,719 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:44:22,719 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.63500142097473s
- 2022-02-12 16:44:22,719 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:44:22,720 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:44:22,720 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 38
- 2022-02-12 16:44:22,842 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.181178 Loss2 0.362032
- 2022-02-12 16:44:38,284 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194477, best_loss=0.179812
- 2022-02-12 16:44:39,340 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176459, best_loss=0.176582
- 2022-02-12 16:44:39,369 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:44:39,370 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.650497674942017s
- 2022-02-12 16:44:39,370 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:44:39,370 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:44:39,370 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 39
- 2022-02-12 16:44:39,484 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.190322 Loss2 0.363965
- 2022-02-12 16:44:55,055 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192888, best_loss=0.179812
- 2022-02-12 16:44:56,131 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176460, best_loss=0.176459
- 2022-02-12 16:44:56,131 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.761000633239746s
- 2022-02-12 16:44:56,131 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:44:56,131 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:44:56,131 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 40
- 2022-02-12 16:44:56,236 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.187241 Loss2 0.309341
- 2022-02-12 16:45:11,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192967, best_loss=0.179812
- 2022-02-12 16:45:12,807 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176415, best_loss=0.176459
- 2022-02-12 16:45:12,834 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:45:12,834 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.703000783920288s
- 2022-02-12 16:45:12,834 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:45:12,834 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:45:12,834 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 41
- 2022-02-12 16:45:12,955 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150177 Loss2 0.326335
- 2022-02-12 16:45:28,227 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193497, best_loss=0.179812
- 2022-02-12 16:45:29,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176389, best_loss=0.176415
- 2022-02-12 16:45:29,338 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:45:29,339 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.504498720169067s
- 2022-02-12 16:45:29,339 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:45:29,339 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:45:29,339 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 42
- 2022-02-12 16:45:29,458 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169381 Loss2 0.364527
- 2022-02-12 16:45:44,965 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192563, best_loss=0.179812
- 2022-02-12 16:45:46,046 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176375, best_loss=0.176389
- 2022-02-12 16:45:46,074 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:45:46,075 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73600196838379s
- 2022-02-12 16:45:46,075 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:45:46,075 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:45:46,075 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 43
- 2022-02-12 16:45:46,189 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153650 Loss2 0.338837
- 2022-02-12 16:46:01,678 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.198010, best_loss=0.179812
- 2022-02-12 16:46:02,809 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176324, best_loss=0.176375
- 2022-02-12 16:46:02,842 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:46:02,842 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.767498016357422s
- 2022-02-12 16:46:02,842 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:46:02,842 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:46:02,842 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 44
- 2022-02-12 16:46:02,972 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166722 Loss2 0.372674
- 2022-02-12 16:46:18,401 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193089, best_loss=0.179812
- 2022-02-12 16:46:19,447 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176413, best_loss=0.176324
- 2022-02-12 16:46:19,448 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.606000423431396s
- 2022-02-12 16:46:19,448 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:46:19,448 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:46:19,448 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 45
- 2022-02-12 16:46:19,559 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162781 Loss2 0.329122
- 2022-02-12 16:46:34,969 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193158, best_loss=0.179812
- 2022-02-12 16:46:36,052 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176460, best_loss=0.176324
- 2022-02-12 16:46:36,052 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60400080680847s
- 2022-02-12 16:46:36,053 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:46:36,053 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:46:36,053 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 46
- 2022-02-12 16:46:36,174 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168961 Loss2 0.328071
- 2022-02-12 16:46:51,393 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193827, best_loss=0.179812
- 2022-02-12 16:46:52,492 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176447, best_loss=0.176324
- 2022-02-12 16:46:52,493 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.440001964569092s
- 2022-02-12 16:46:52,493 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:46:52,493 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:46:52,493 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 47
- 2022-02-12 16:46:52,623 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.186225 Loss2 0.360211
- 2022-02-12 16:47:08,049 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193665, best_loss=0.179812
- 2022-02-12 16:47:09,140 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176335, best_loss=0.176324
- 2022-02-12 16:47:09,140 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64699912071228s
- 2022-02-12 16:47:09,140 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:47:09,141 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:47:09,141 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 48
- 2022-02-12 16:47:09,256 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147292 Loss2 0.325559
- 2022-02-12 16:47:24,675 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194092, best_loss=0.179812
- 2022-02-12 16:47:25,760 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176299, best_loss=0.176324
- 2022-02-12 16:47:25,787 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:47:25,787 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64649796485901s
- 2022-02-12 16:47:25,787 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:47:25,787 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:47:25,788 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 49
- 2022-02-12 16:47:25,896 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168235 Loss2 0.352553
- 2022-02-12 16:47:41,123 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191453, best_loss=0.179812
- 2022-02-12 16:47:42,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176291, best_loss=0.176299
- 2022-02-12 16:47:42,254 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:47:42,255 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.466999530792236s
- 2022-02-12 16:47:42,255 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:47:42,255 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:47:42,255 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 50
- 2022-02-12 16:47:42,377 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152532 Loss2 0.312911
- 2022-02-12 16:47:57,813 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192001, best_loss=0.179812
- 2022-02-12 16:47:58,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176271, best_loss=0.176291
- 2022-02-12 16:47:58,914 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:47:58,915 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66000008583069s
- 2022-02-12 16:47:58,915 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:47:58,915 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:47:58,915 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 51
- 2022-02-12 16:47:59,020 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.192273 Loss2 0.355542
- 2022-02-12 16:48:14,477 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192247, best_loss=0.179812
- 2022-02-12 16:48:15,555 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176324, best_loss=0.176271
- 2022-02-12 16:48:15,556 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64050006866455s
- 2022-02-12 16:48:15,556 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:48:15,556 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:48:15,556 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 52
- 2022-02-12 16:48:15,680 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169660 Loss2 0.345724
- 2022-02-12 16:48:31,018 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192226, best_loss=0.179812
- 2022-02-12 16:48:32,092 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176269, best_loss=0.176271
- 2022-02-12 16:48:32,122 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:48:32,122 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.566001892089844s
- 2022-02-12 16:48:32,122 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:48:32,122 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:48:32,122 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 53
- 2022-02-12 16:48:32,245 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150384 Loss2 0.314501
- 2022-02-12 16:48:47,660 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191925, best_loss=0.179812
- 2022-02-12 16:48:48,731 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176304, best_loss=0.176269
- 2022-02-12 16:48:48,731 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60900092124939s
- 2022-02-12 16:48:48,731 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:48:48,731 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:48:48,731 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 54
- 2022-02-12 16:48:48,847 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158016 Loss2 0.315024
- 2022-02-12 16:49:04,171 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192165, best_loss=0.179812
- 2022-02-12 16:49:05,233 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176150, best_loss=0.176269
- 2022-02-12 16:49:05,261 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:49:05,261 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.529999017715454s
- 2022-02-12 16:49:05,261 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:49:05,261 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:49:05,262 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 55
- 2022-02-12 16:49:05,381 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166220 Loss2 0.351766
- 2022-02-12 16:49:20,735 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191555, best_loss=0.179812
- 2022-02-12 16:49:21,811 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176129, best_loss=0.176150
- 2022-02-12 16:49:21,843 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:49:21,844 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58200240135193s
- 2022-02-12 16:49:21,844 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:49:21,844 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:49:21,844 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 56
- 2022-02-12 16:49:21,983 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163240 Loss2 0.333734
- 2022-02-12 16:49:37,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191732, best_loss=0.179812
- 2022-02-12 16:49:38,599 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176099, best_loss=0.176129
- 2022-02-12 16:49:38,629 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:49:38,630 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.785496711730957s
- 2022-02-12 16:49:38,630 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:49:38,630 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:49:38,630 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 57
- 2022-02-12 16:49:38,760 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166812 Loss2 0.334200
- 2022-02-12 16:49:54,107 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193239, best_loss=0.179812
- 2022-02-12 16:49:55,182 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176249, best_loss=0.176099
- 2022-02-12 16:49:55,183 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55299973487854s
- 2022-02-12 16:49:55,183 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:49:55,183 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:49:55,183 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 58
- 2022-02-12 16:49:55,306 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163073 Loss2 0.324767
- 2022-02-12 16:50:10,843 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193552, best_loss=0.179812
- 2022-02-12 16:50:11,924 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176217, best_loss=0.176099
- 2022-02-12 16:50:11,925 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.74150013923645s
- 2022-02-12 16:50:11,925 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:50:11,925 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:50:11,925 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 59
- 2022-02-12 16:50:12,052 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157620 Loss2 0.306576
- 2022-02-12 16:50:27,311 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192651, best_loss=0.179812
- 2022-02-12 16:50:28,392 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176232, best_loss=0.176099
- 2022-02-12 16:50:28,393 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46799921989441s
- 2022-02-12 16:50:28,393 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:50:28,393 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:50:28,393 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 60
- 2022-02-12 16:50:28,502 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166922 Loss2 0.343980
- 2022-02-12 16:50:43,903 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192033, best_loss=0.179812
- 2022-02-12 16:50:44,989 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176210, best_loss=0.176099
- 2022-02-12 16:50:44,990 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59700036048889s
- 2022-02-12 16:50:44,990 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:50:44,990 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:50:44,990 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 61
- 2022-02-12 16:50:45,113 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159296 Loss2 0.300784
- 2022-02-12 16:51:00,564 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191882, best_loss=0.179812
- 2022-02-12 16:51:01,638 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176167, best_loss=0.176099
- 2022-02-12 16:51:01,638 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.648004293441772s
- 2022-02-12 16:51:01,639 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:51:01,639 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:51:01,639 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 62
- 2022-02-12 16:51:01,753 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160289 Loss2 0.334880
- 2022-02-12 16:51:17,256 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191388, best_loss=0.179812
- 2022-02-12 16:51:18,327 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176174, best_loss=0.176099
- 2022-02-12 16:51:18,327 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.688497304916382s
- 2022-02-12 16:51:18,328 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:51:18,328 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:51:18,328 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 63
- 2022-02-12 16:51:18,439 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161840 Loss2 0.346255
- 2022-02-12 16:51:34,061 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191775, best_loss=0.179812
- 2022-02-12 16:51:35,134 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176213, best_loss=0.176099
- 2022-02-12 16:51:35,134 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.806499481201172s
- 2022-02-12 16:51:35,134 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:51:35,134 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:51:35,134 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 64
- 2022-02-12 16:51:35,249 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166568 Loss2 0.301746
- 2022-02-12 16:51:50,550 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193334, best_loss=0.179812
- 2022-02-12 16:51:51,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176167, best_loss=0.176099
- 2022-02-12 16:51:51,626 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.492001056671143s
- 2022-02-12 16:51:51,626 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:51:51,626 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:51:51,627 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 65
- 2022-02-12 16:51:51,746 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148821 Loss2 0.300792
- 2022-02-12 16:52:07,174 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191188, best_loss=0.179812
- 2022-02-12 16:52:08,248 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176160, best_loss=0.176099
- 2022-02-12 16:52:08,249 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.622000455856323s
- 2022-02-12 16:52:08,249 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:52:08,249 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:52:08,249 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 66
- 2022-02-12 16:52:08,366 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164439 Loss2 0.337719
- 2022-02-12 16:52:23,883 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.194004, best_loss=0.179812
- 2022-02-12 16:52:24,961 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176241, best_loss=0.176099
- 2022-02-12 16:52:24,961 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.71200156211853s
- 2022-02-12 16:52:24,961 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:52:24,961 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:52:24,961 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 67
- 2022-02-12 16:52:25,081 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163474 Loss2 0.308397
- 2022-02-12 16:52:40,332 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191945, best_loss=0.179812
- 2022-02-12 16:52:41,419 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176356, best_loss=0.176099
- 2022-02-12 16:52:41,420 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.45899772644043s
- 2022-02-12 16:52:41,420 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:52:41,420 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:52:41,420 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 68
- 2022-02-12 16:52:41,533 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178105 Loss2 0.310855
- 2022-02-12 16:52:56,878 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191740, best_loss=0.179812
- 2022-02-12 16:52:57,927 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176405, best_loss=0.176099
- 2022-02-12 16:52:57,928 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.507501125335693s
- 2022-02-12 16:52:57,928 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:52:57,928 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:52:57,928 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 69
- 2022-02-12 16:52:58,043 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161005 Loss2 0.337653
- 2022-02-12 16:53:13,587 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191314, best_loss=0.179812
- 2022-02-12 16:53:14,667 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176355, best_loss=0.176099
- 2022-02-12 16:53:14,668 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73999857902527s
- 2022-02-12 16:53:14,668 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:53:14,668 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:53:14,668 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 70
- 2022-02-12 16:53:14,785 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166018 Loss2 0.329053
- 2022-02-12 16:53:30,042 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191895, best_loss=0.179812
- 2022-02-12 16:53:31,121 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176316, best_loss=0.176099
- 2022-02-12 16:53:31,122 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.45350170135498s
- 2022-02-12 16:53:31,122 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:53:31,122 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:53:31,122 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 71
- 2022-02-12 16:53:31,238 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162959 Loss2 0.336732
- 2022-02-12 16:53:46,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191418, best_loss=0.179812
- 2022-02-12 16:53:47,500 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176257, best_loss=0.176099
- 2022-02-12 16:53:47,501 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.37899875640869s
- 2022-02-12 16:53:47,501 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:53:47,501 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:53:47,501 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 72
- 2022-02-12 16:53:47,616 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145971 Loss2 0.297342
- 2022-02-12 16:54:02,907 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191113, best_loss=0.179812
- 2022-02-12 16:54:03,995 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176215, best_loss=0.176099
- 2022-02-12 16:54:03,995 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.494503259658813s
- 2022-02-12 16:54:03,995 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:54:03,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:54:03,996 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 73
- 2022-02-12 16:54:04,104 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.178949 Loss2 0.381721
- 2022-02-12 16:54:19,370 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191326, best_loss=0.179812
- 2022-02-12 16:54:20,417 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176110, best_loss=0.176099
- 2022-02-12 16:54:20,417 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.421496868133545s
- 2022-02-12 16:54:20,418 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:54:20,418 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:54:20,418 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 74
- 2022-02-12 16:54:20,541 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147414 Loss2 0.313020
- 2022-02-12 16:54:35,954 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191534, best_loss=0.179812
- 2022-02-12 16:54:37,048 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176072, best_loss=0.176099
- 2022-02-12 16:54:37,076 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:54:37,077 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.659000396728516s
- 2022-02-12 16:54:37,077 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:54:37,077 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:54:37,077 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 75
- 2022-02-12 16:54:37,188 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154868 Loss2 0.321534
- 2022-02-12 16:54:52,739 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191652, best_loss=0.179812
- 2022-02-12 16:54:53,821 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176121, best_loss=0.176072
- 2022-02-12 16:54:53,822 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.745004177093506s
- 2022-02-12 16:54:53,822 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:54:53,822 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:54:53,822 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 76
- 2022-02-12 16:54:53,933 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152630 Loss2 0.309908
- 2022-02-12 16:55:09,221 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191218, best_loss=0.179812
- 2022-02-12 16:55:10,292 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176230, best_loss=0.176072
- 2022-02-12 16:55:10,292 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.469995737075806s
- 2022-02-12 16:55:10,292 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:55:10,292 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:55:10,292 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 77
- 2022-02-12 16:55:10,415 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.158814 Loss2 0.347529
- 2022-02-12 16:55:25,850 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.193597, best_loss=0.179812
- 2022-02-12 16:55:26,932 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176271, best_loss=0.176072
- 2022-02-12 16:55:26,932 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.640000820159912s
- 2022-02-12 16:55:26,932 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:55:26,933 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:55:26,933 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 78
- 2022-02-12 16:55:27,044 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145546 Loss2 0.308237
- 2022-02-12 16:55:42,478 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191359, best_loss=0.179812
- 2022-02-12 16:55:43,565 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176229, best_loss=0.176072
- 2022-02-12 16:55:43,565 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.632500171661377s
- 2022-02-12 16:55:43,565 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:55:43,565 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:55:43,565 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 79
- 2022-02-12 16:55:43,688 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149737 Loss2 0.313989
- 2022-02-12 16:55:59,328 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191234, best_loss=0.179812
- 2022-02-12 16:56:00,406 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176217, best_loss=0.176072
- 2022-02-12 16:56:00,407 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.84149932861328s
- 2022-02-12 16:56:00,407 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:56:00,407 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:56:00,407 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 80
- 2022-02-12 16:56:00,522 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165809 Loss2 0.348435
- 2022-02-12 16:56:15,801 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190850, best_loss=0.179812
- 2022-02-12 16:56:16,878 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176202, best_loss=0.176072
- 2022-02-12 16:56:16,879 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.471499919891357s
- 2022-02-12 16:56:16,879 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:56:16,879 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:56:16,879 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 81
- 2022-02-12 16:56:16,987 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166763 Loss2 0.330460
- 2022-02-12 16:56:32,348 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191712, best_loss=0.179812
- 2022-02-12 16:56:33,437 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176211, best_loss=0.176072
- 2022-02-12 16:56:33,438 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55900001525879s
- 2022-02-12 16:56:33,438 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:56:33,438 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:56:33,438 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 82
- 2022-02-12 16:56:33,558 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.176744 Loss2 0.361267
- 2022-02-12 16:56:48,848 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.192526, best_loss=0.179812
- 2022-02-12 16:56:49,937 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176168, best_loss=0.176072
- 2022-02-12 16:56:49,937 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.499501705169678s
- 2022-02-12 16:56:49,937 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:56:49,937 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:56:49,937 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 83
- 2022-02-12 16:56:50,058 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157642 Loss2 0.338183
- 2022-02-12 16:57:05,287 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190189, best_loss=0.179812
- 2022-02-12 16:57:06,360 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176106, best_loss=0.176072
- 2022-02-12 16:57:06,361 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.423524379730225s
- 2022-02-12 16:57:06,361 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:57:06,361 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:57:06,361 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 84
- 2022-02-12 16:57:06,482 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.175079 Loss2 0.349191
- 2022-02-12 16:57:21,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190179, best_loss=0.179812
- 2022-02-12 16:57:22,793 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175980, best_loss=0.176072
- 2022-02-12 16:57:22,821 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:57:22,822 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.460976600646973s
- 2022-02-12 16:57:22,822 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:57:22,822 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:57:22,822 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 85
- 2022-02-12 16:57:22,934 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155572 Loss2 0.341770
- 2022-02-12 16:57:38,296 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190068, best_loss=0.179812
- 2022-02-12 16:57:39,366 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175889, best_loss=0.175980
- 2022-02-12 16:57:39,396 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:57:39,397 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.574000358581543s
- 2022-02-12 16:57:39,397 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:57:39,397 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:57:39,397 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 86
- 2022-02-12 16:57:39,510 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156956 Loss2 0.358678
- 2022-02-12 16:57:54,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190798, best_loss=0.179812
- 2022-02-12 16:57:55,963 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175909, best_loss=0.175889
- 2022-02-12 16:57:55,963 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.566498041152954s
- 2022-02-12 16:57:55,963 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:57:55,963 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:57:55,964 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 87
- 2022-02-12 16:57:56,080 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152350 Loss2 0.333438
- 2022-02-12 16:58:11,628 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190195, best_loss=0.179812
- 2022-02-12 16:58:12,703 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175889, best_loss=0.175889
- 2022-02-12 16:58:12,731 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 16:58:12,732 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.76800012588501s
- 2022-02-12 16:58:12,732 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:58:12,732 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:58:12,732 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 88
- 2022-02-12 16:58:12,864 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161498 Loss2 0.323605
- 2022-02-12 16:58:28,266 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190769, best_loss=0.179812
- 2022-02-12 16:58:29,334 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175913, best_loss=0.175889
- 2022-02-12 16:58:29,334 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60200023651123s
- 2022-02-12 16:58:29,334 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:58:29,334 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:58:29,334 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 89
- 2022-02-12 16:58:29,446 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166443 Loss2 0.309739
- 2022-02-12 16:58:44,747 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189395, best_loss=0.179812
- 2022-02-12 16:58:45,825 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176262, best_loss=0.175889
- 2022-02-12 16:58:45,825 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.49049997329712s
- 2022-02-12 16:58:45,825 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:58:45,826 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:58:45,826 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 90
- 2022-02-12 16:58:45,950 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137004 Loss2 0.307831
- 2022-02-12 16:59:01,499 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.191047, best_loss=0.179812
- 2022-02-12 16:59:02,567 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176072, best_loss=0.175889
- 2022-02-12 16:59:02,568 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7420015335083s
- 2022-02-12 16:59:02,568 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:59:02,568 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:59:02,568 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 91
- 2022-02-12 16:59:02,686 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174584 Loss2 0.369333
- 2022-02-12 16:59:18,150 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189317, best_loss=0.179812
- 2022-02-12 16:59:19,224 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176216, best_loss=0.175889
- 2022-02-12 16:59:19,224 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.656001329421997s
- 2022-02-12 16:59:19,224 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:59:19,224 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:59:19,225 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 92
- 2022-02-12 16:59:19,328 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168181 Loss2 0.328400
- 2022-02-12 16:59:34,817 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190103, best_loss=0.179812
- 2022-02-12 16:59:35,895 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176163, best_loss=0.175889
- 2022-02-12 16:59:35,895 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.670499563217163s
- 2022-02-12 16:59:35,895 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:59:35,895 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:59:35,895 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 93
- 2022-02-12 16:59:36,005 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151369 Loss2 0.353027
- 2022-02-12 16:59:51,503 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189778, best_loss=0.179812
- 2022-02-12 16:59:52,583 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176217, best_loss=0.175889
- 2022-02-12 16:59:52,584 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68850040435791s
- 2022-02-12 16:59:52,584 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 16:59:52,584 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 16:59:52,584 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 94
- 2022-02-12 16:59:52,701 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.174150 Loss2 0.337996
- 2022-02-12 17:00:08,010 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190428, best_loss=0.179812
- 2022-02-12 17:00:09,081 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176197, best_loss=0.175889
- 2022-02-12 17:00:09,081 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.49699878692627s
- 2022-02-12 17:00:09,081 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:00:09,081 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:00:09,081 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 95
- 2022-02-12 17:00:09,203 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159139 Loss2 0.340950
- 2022-02-12 17:00:24,708 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189213, best_loss=0.179812
- 2022-02-12 17:00:25,771 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176100, best_loss=0.175889
- 2022-02-12 17:00:25,772 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69049906730652s
- 2022-02-12 17:00:25,772 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:00:25,772 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:00:25,772 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 96
- 2022-02-12 17:00:25,891 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144342 Loss2 0.287319
- 2022-02-12 17:00:41,143 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190599, best_loss=0.179812
- 2022-02-12 17:00:42,206 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176075, best_loss=0.175889
- 2022-02-12 17:00:42,207 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.43450093269348s
- 2022-02-12 17:00:42,207 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:00:42,207 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:00:42,207 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 97
- 2022-02-12 17:00:42,321 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143798 Loss2 0.304248
- 2022-02-12 17:00:57,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189127, best_loss=0.179812
- 2022-02-12 17:00:58,754 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176137, best_loss=0.175889
- 2022-02-12 17:00:58,755 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.548001766204834s
- 2022-02-12 17:00:58,755 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:00:58,755 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:00:58,755 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 98
- 2022-02-12 17:00:58,880 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166853 Loss2 0.339826
- 2022-02-12 17:01:14,316 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189324, best_loss=0.179812
- 2022-02-12 17:01:15,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176077, best_loss=0.175889
- 2022-02-12 17:01:15,400 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.644500494003296s
- 2022-02-12 17:01:15,400 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:01:15,400 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:01:15,400 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 99
- 2022-02-12 17:01:15,525 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138840 Loss2 0.292558
- 2022-02-12 17:01:30,922 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188778, best_loss=0.179812
- 2022-02-12 17:01:32,006 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176027, best_loss=0.175889
- 2022-02-12 17:01:32,006 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60649800300598s
- 2022-02-12 17:01:32,006 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:01:32,006 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:01:32,006 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 100
- 2022-02-12 17:01:32,124 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163542 Loss2 0.355149
- 2022-02-12 17:01:47,349 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188899, best_loss=0.179812
- 2022-02-12 17:01:48,414 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175959, best_loss=0.175889
- 2022-02-12 17:01:48,415 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.408501863479614s
- 2022-02-12 17:01:48,415 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:01:48,415 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:01:48,415 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 101
- 2022-02-12 17:01:48,531 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.166896 Loss2 0.331268
- 2022-02-12 17:02:03,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190387, best_loss=0.179812
- 2022-02-12 17:02:04,942 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176020, best_loss=0.175889
- 2022-02-12 17:02:04,942 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.526999711990356s
- 2022-02-12 17:02:04,942 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:02:04,942 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:02:04,942 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 102
- 2022-02-12 17:02:05,053 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150205 Loss2 0.303069
- 2022-02-12 17:02:20,458 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189661, best_loss=0.179812
- 2022-02-12 17:02:21,542 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176146, best_loss=0.175889
- 2022-02-12 17:02:21,543 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.600498914718628s
- 2022-02-12 17:02:21,543 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:02:21,543 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:02:21,543 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 103
- 2022-02-12 17:02:21,662 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149385 Loss2 0.298900
- 2022-02-12 17:02:36,917 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189028, best_loss=0.179812
- 2022-02-12 17:02:37,996 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176181, best_loss=0.175889
- 2022-02-12 17:02:37,996 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.453001499176025s
- 2022-02-12 17:02:37,996 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:02:37,996 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:02:37,997 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 104
- 2022-02-12 17:02:38,102 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.173221 Loss2 0.345371
- 2022-02-12 17:02:53,664 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190562, best_loss=0.179812
- 2022-02-12 17:02:54,740 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176115, best_loss=0.175889
- 2022-02-12 17:02:54,741 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.743997812271118s
- 2022-02-12 17:02:54,741 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:02:54,741 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:02:54,741 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 105
- 2022-02-12 17:02:54,864 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172805 Loss2 0.358902
- 2022-02-12 17:03:10,314 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189856, best_loss=0.179812
- 2022-02-12 17:03:11,391 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176233, best_loss=0.175889
- 2022-02-12 17:03:11,392 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.650501012802124s
- 2022-02-12 17:03:11,392 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:03:11,392 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:03:11,392 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 106
- 2022-02-12 17:03:11,500 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169296 Loss2 0.364659
- 2022-02-12 17:03:26,823 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190099, best_loss=0.179812
- 2022-02-12 17:03:27,877 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176157, best_loss=0.175889
- 2022-02-12 17:03:27,878 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.486000776290894s
- 2022-02-12 17:03:27,878 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:03:27,878 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:03:27,878 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 107
- 2022-02-12 17:03:27,986 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147004 Loss2 0.321037
- 2022-02-12 17:03:43,474 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188759, best_loss=0.179812
- 2022-02-12 17:03:44,546 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176111, best_loss=0.175889
- 2022-02-12 17:03:44,547 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.669000387191772s
- 2022-02-12 17:03:44,547 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:03:44,547 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:03:44,547 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 108
- 2022-02-12 17:03:44,658 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.127856 Loss2 0.283933
- 2022-02-12 17:04:00,100 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190268, best_loss=0.179812
- 2022-02-12 17:04:01,184 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176203, best_loss=0.175889
- 2022-02-12 17:04:01,185 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6374990940094s
- 2022-02-12 17:04:01,185 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:04:01,185 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:04:01,185 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 109
- 2022-02-12 17:04:01,316 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.169750 Loss2 0.332278
- 2022-02-12 17:04:16,614 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189484, best_loss=0.179812
- 2022-02-12 17:04:17,681 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176054, best_loss=0.175889
- 2022-02-12 17:04:17,682 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.49649953842163s
- 2022-02-12 17:04:17,682 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:04:17,682 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:04:17,682 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 110
- 2022-02-12 17:04:17,796 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.144072 Loss2 0.309437
- 2022-02-12 17:04:33,243 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190134, best_loss=0.179812
- 2022-02-12 17:04:34,254 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176041, best_loss=0.175889
- 2022-02-12 17:04:34,254 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5724995136261s
- 2022-02-12 17:04:34,254 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:04:34,254 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:04:34,254 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 111
- 2022-02-12 17:04:34,369 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156543 Loss2 0.352693
- 2022-02-12 17:04:49,630 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189454, best_loss=0.179812
- 2022-02-12 17:04:50,700 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175984, best_loss=0.175889
- 2022-02-12 17:04:50,700 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44599986076355s
- 2022-02-12 17:04:50,700 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:04:50,701 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:04:50,701 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 112
- 2022-02-12 17:04:50,829 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150357 Loss2 0.301392
- 2022-02-12 17:05:06,437 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189045, best_loss=0.179812
- 2022-02-12 17:05:07,518 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176057, best_loss=0.175889
- 2022-02-12 17:05:07,519 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.817999601364136s
- 2022-02-12 17:05:07,519 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:05:07,519 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:05:07,519 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 113
- 2022-02-12 17:05:07,635 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151542 Loss2 0.305214
- 2022-02-12 17:05:23,289 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189509, best_loss=0.179812
- 2022-02-12 17:05:24,364 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176107, best_loss=0.175889
- 2022-02-12 17:05:24,365 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.845999717712402s
- 2022-02-12 17:05:24,365 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:05:24,365 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:05:24,365 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 114
- 2022-02-12 17:05:24,481 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167193 Loss2 0.353048
- 2022-02-12 17:05:39,798 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.190932, best_loss=0.179812
- 2022-02-12 17:05:40,886 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176180, best_loss=0.175889
- 2022-02-12 17:05:40,887 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.521500825881958s
- 2022-02-12 17:05:40,887 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:05:40,887 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:05:40,887 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 115
- 2022-02-12 17:05:41,008 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.170341 Loss2 0.349292
- 2022-02-12 17:05:56,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189074, best_loss=0.179812
- 2022-02-12 17:05:57,462 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175994, best_loss=0.175889
- 2022-02-12 17:05:57,462 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.575500011444092s
- 2022-02-12 17:05:57,463 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:05:57,463 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:05:57,463 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 116
- 2022-02-12 17:05:57,570 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154266 Loss2 0.329970
- 2022-02-12 17:06:13,068 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189699, best_loss=0.179812
- 2022-02-12 17:06:14,137 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175979, best_loss=0.175889
- 2022-02-12 17:06:14,137 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.674500226974487s
- 2022-02-12 17:06:14,137 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:06:14,137 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:06:14,137 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 117
- 2022-02-12 17:06:14,257 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.134375 Loss2 0.327128
- 2022-02-12 17:06:29,627 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189391, best_loss=0.179812
- 2022-02-12 17:06:30,709 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175969, best_loss=0.175889
- 2022-02-12 17:06:30,709 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.572001695632935s
- 2022-02-12 17:06:30,710 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:06:30,710 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:06:30,710 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 118
- 2022-02-12 17:06:30,848 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157890 Loss2 0.310392
- 2022-02-12 17:06:46,225 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188121, best_loss=0.179812
- 2022-02-12 17:06:47,308 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175913, best_loss=0.175889
- 2022-02-12 17:06:47,309 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59900188446045s
- 2022-02-12 17:06:47,309 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:06:47,309 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:06:47,309 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 119
- 2022-02-12 17:06:47,422 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142086 Loss2 0.306971
- 2022-02-12 17:07:02,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189254, best_loss=0.179812
- 2022-02-12 17:07:03,869 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175868, best_loss=0.175889
- 2022-02-12 17:07:03,897 - G:/naic_csi_2021/tasks/train.py[line:141] - INFO: Model saved
- 2022-02-12 17:07:03,897 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.588000535964966s
- 2022-02-12 17:07:03,898 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:07:03,898 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:07:03,898 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 120
- 2022-02-12 17:07:04,006 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150622 Loss2 0.315555
- 2022-02-12 17:07:19,515 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.189652, best_loss=0.179812
- 2022-02-12 17:07:20,590 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175921, best_loss=0.175868
- 2022-02-12 17:07:20,590 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.69249987602234s
- 2022-02-12 17:07:20,590 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:07:20,590 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:07:20,591 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 121
- 2022-02-12 17:07:20,734 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149593 Loss2 0.344123
- 2022-02-12 17:07:36,009 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188296, best_loss=0.179812
- 2022-02-12 17:07:37,076 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176150, best_loss=0.175868
- 2022-02-12 17:07:37,076 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.485498189926147s
- 2022-02-12 17:07:37,076 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:07:37,076 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:07:37,076 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 122
- 2022-02-12 17:07:37,190 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138295 Loss2 0.315680
- 2022-02-12 17:07:52,473 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188646, best_loss=0.179812
- 2022-02-12 17:07:53,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175982, best_loss=0.175868
- 2022-02-12 17:07:53,545 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.467999935150146s
- 2022-02-12 17:07:53,545 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:07:53,545 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:07:53,545 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 123
- 2022-02-12 17:07:53,657 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159088 Loss2 0.357713
- 2022-02-12 17:08:09,045 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187996, best_loss=0.179812
- 2022-02-12 17:08:10,127 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176019, best_loss=0.175868
- 2022-02-12 17:08:10,128 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.583000421524048s
- 2022-02-12 17:08:10,128 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:08:10,128 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:08:10,128 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 124
- 2022-02-12 17:08:10,241 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172640 Loss2 0.357361
- 2022-02-12 17:08:25,524 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186632, best_loss=0.179812
- 2022-02-12 17:08:26,616 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176088, best_loss=0.175868
- 2022-02-12 17:08:26,617 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.488500356674194s
- 2022-02-12 17:08:26,617 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:08:26,617 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:08:26,617 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 125
- 2022-02-12 17:08:26,733 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171657 Loss2 0.345612
- 2022-02-12 17:08:42,217 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188365, best_loss=0.179812
- 2022-02-12 17:08:43,317 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176046, best_loss=0.175868
- 2022-02-12 17:08:43,317 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.700501203536987s
- 2022-02-12 17:08:43,317 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:08:43,317 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:08:43,317 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 126
- 2022-02-12 17:08:43,434 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.131541 Loss2 0.299747
- 2022-02-12 17:08:58,849 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188000, best_loss=0.179812
- 2022-02-12 17:08:59,926 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176010, best_loss=0.175868
- 2022-02-12 17:08:59,926 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.608999252319336s
- 2022-02-12 17:08:59,927 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:08:59,927 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:08:59,927 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 127
- 2022-02-12 17:09:00,050 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150804 Loss2 0.325084
- 2022-02-12 17:09:15,471 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188751, best_loss=0.179812
- 2022-02-12 17:09:16,549 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.175960, best_loss=0.175868
- 2022-02-12 17:09:16,549 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.62250018119812s
- 2022-02-12 17:09:16,549 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:09:16,549 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:09:16,549 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 128
- 2022-02-12 17:09:16,658 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151635 Loss2 0.343258
- 2022-02-12 17:09:32,139 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187633, best_loss=0.179812
- 2022-02-12 17:09:33,211 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176065, best_loss=0.175868
- 2022-02-12 17:09:33,212 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66249918937683s
- 2022-02-12 17:09:33,212 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:09:33,212 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:09:33,212 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 129
- 2022-02-12 17:09:33,331 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164884 Loss2 0.359558
- 2022-02-12 17:09:48,572 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186638, best_loss=0.179812
- 2022-02-12 17:09:49,672 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176164, best_loss=0.175868
- 2022-02-12 17:09:49,673 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.46050214767456s
- 2022-02-12 17:09:49,673 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:09:49,673 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:09:49,673 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 130
- 2022-02-12 17:09:49,792 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151014 Loss2 0.335185
- 2022-02-12 17:10:05,005 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187953, best_loss=0.179812
- 2022-02-12 17:10:06,083 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176118, best_loss=0.175868
- 2022-02-12 17:10:06,084 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.411500453948975s
- 2022-02-12 17:10:06,084 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:10:06,084 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:10:06,084 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 131
- 2022-02-12 17:10:06,201 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.154498 Loss2 0.326999
- 2022-02-12 17:10:21,626 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187659, best_loss=0.179812
- 2022-02-12 17:10:22,702 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176189, best_loss=0.175868
- 2022-02-12 17:10:22,702 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.61799931526184s
- 2022-02-12 17:10:22,702 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:10:22,702 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:10:22,703 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 132
- 2022-02-12 17:10:22,822 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152934 Loss2 0.351746
- 2022-02-12 17:10:38,403 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187771, best_loss=0.179812
- 2022-02-12 17:10:39,482 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176144, best_loss=0.175868
- 2022-02-12 17:10:39,482 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.779499053955078s
- 2022-02-12 17:10:39,483 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:10:39,483 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:10:39,483 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 133
- 2022-02-12 17:10:39,593 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161423 Loss2 0.308801
- 2022-02-12 17:10:54,899 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187936, best_loss=0.179812
- 2022-02-12 17:10:55,980 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176126, best_loss=0.175868
- 2022-02-12 17:10:55,981 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.498000860214233s
- 2022-02-12 17:10:55,981 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:10:55,981 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:10:55,981 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 134
- 2022-02-12 17:10:56,089 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.168221 Loss2 0.369751
- 2022-02-12 17:11:11,465 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187794, best_loss=0.179812
- 2022-02-12 17:11:12,549 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176130, best_loss=0.175868
- 2022-02-12 17:11:12,549 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.5684974193573s
- 2022-02-12 17:11:12,549 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:11:12,549 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:11:12,550 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 135
- 2022-02-12 17:11:12,663 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156039 Loss2 0.342525
- 2022-02-12 17:11:28,014 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187246, best_loss=0.179812
- 2022-02-12 17:11:29,112 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176152, best_loss=0.175868
- 2022-02-12 17:11:29,112 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562500476837158s
- 2022-02-12 17:11:29,112 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:11:29,112 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:11:29,112 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 136
- 2022-02-12 17:11:29,241 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152874 Loss2 0.306311
- 2022-02-12 17:11:44,523 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187816, best_loss=0.179812
- 2022-02-12 17:11:45,593 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176212, best_loss=0.175868
- 2022-02-12 17:11:45,593 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.4809992313385s
- 2022-02-12 17:11:45,593 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:11:45,593 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:11:45,593 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 137
- 2022-02-12 17:11:45,711 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148910 Loss2 0.328148
- 2022-02-12 17:12:01,066 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187801, best_loss=0.179812
- 2022-02-12 17:12:02,149 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176166, best_loss=0.175868
- 2022-02-12 17:12:02,150 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.55700182914734s
- 2022-02-12 17:12:02,150 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:12:02,150 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:12:02,150 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 138
- 2022-02-12 17:12:02,269 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167899 Loss2 0.335242
- 2022-02-12 17:12:17,561 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187508, best_loss=0.179812
- 2022-02-12 17:12:18,689 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176256, best_loss=0.175868
- 2022-02-12 17:12:18,690 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.54000163078308s
- 2022-02-12 17:12:18,690 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:12:18,690 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:12:18,690 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 139
- 2022-02-12 17:12:18,820 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143302 Loss2 0.316379
- 2022-02-12 17:12:34,273 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186068, best_loss=0.179812
- 2022-02-12 17:12:35,355 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176189, best_loss=0.175868
- 2022-02-12 17:12:35,356 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66549777984619s
- 2022-02-12 17:12:35,356 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:12:35,356 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:12:35,356 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 140
- 2022-02-12 17:12:35,472 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160581 Loss2 0.320462
- 2022-02-12 17:12:50,958 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187768, best_loss=0.179812
- 2022-02-12 17:12:52,025 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176174, best_loss=0.175868
- 2022-02-12 17:12:52,026 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.669500827789307s
- 2022-02-12 17:12:52,026 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:12:52,026 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:12:52,026 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 141
- 2022-02-12 17:12:52,145 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.136130 Loss2 0.285799
- 2022-02-12 17:13:07,410 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188036, best_loss=0.179812
- 2022-02-12 17:13:08,504 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176185, best_loss=0.175868
- 2022-02-12 17:13:08,505 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.478999376296997s
- 2022-02-12 17:13:08,505 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:13:08,505 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:13:08,505 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 142
- 2022-02-12 17:13:08,624 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.146748 Loss2 0.334618
- 2022-02-12 17:13:24,099 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188049, best_loss=0.179812
- 2022-02-12 17:13:25,165 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176237, best_loss=0.175868
- 2022-02-12 17:13:25,165 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.660499095916748s
- 2022-02-12 17:13:25,165 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:13:25,165 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:13:25,165 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 143
- 2022-02-12 17:13:25,279 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145895 Loss2 0.323247
- 2022-02-12 17:13:40,629 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186815, best_loss=0.179812
- 2022-02-12 17:13:41,716 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176182, best_loss=0.175868
- 2022-02-12 17:13:41,716 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.551000833511353s
- 2022-02-12 17:13:41,716 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:13:41,716 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:13:41,716 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 144
- 2022-02-12 17:13:41,832 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157903 Loss2 0.337191
- 2022-02-12 17:13:57,200 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186892, best_loss=0.179812
- 2022-02-12 17:13:58,335 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176149, best_loss=0.175868
- 2022-02-12 17:13:58,336 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.619499921798706s
- 2022-02-12 17:13:58,336 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:13:58,336 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:13:58,336 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 145
- 2022-02-12 17:13:58,466 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.141538 Loss2 0.322400
- 2022-02-12 17:14:13,827 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187361, best_loss=0.179812
- 2022-02-12 17:14:14,893 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176167, best_loss=0.175868
- 2022-02-12 17:14:14,893 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.556997776031494s
- 2022-02-12 17:14:14,893 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:14:14,893 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:14:14,893 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 146
- 2022-02-12 17:14:15,007 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.172959 Loss2 0.370002
- 2022-02-12 17:14:30,434 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186997, best_loss=0.179812
- 2022-02-12 17:14:31,488 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176107, best_loss=0.175868
- 2022-02-12 17:14:31,489 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59550142288208s
- 2022-02-12 17:14:31,489 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:14:31,489 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:14:31,489 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 147
- 2022-02-12 17:14:31,609 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165014 Loss2 0.364024
- 2022-02-12 17:14:46,984 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186555, best_loss=0.179812
- 2022-02-12 17:14:48,088 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176016, best_loss=0.175868
- 2022-02-12 17:14:48,089 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.599998474121094s
- 2022-02-12 17:14:48,089 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:14:48,089 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:14:48,089 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 148
- 2022-02-12 17:14:48,211 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.142550 Loss2 0.295620
- 2022-02-12 17:15:03,463 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187274, best_loss=0.179812
- 2022-02-12 17:15:04,538 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176158, best_loss=0.175868
- 2022-02-12 17:15:04,539 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.449498891830444s
- 2022-02-12 17:15:04,539 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:15:04,539 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:15:04,539 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 149
- 2022-02-12 17:15:04,648 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.161668 Loss2 0.321759
- 2022-02-12 17:15:20,117 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188656, best_loss=0.179812
- 2022-02-12 17:15:21,179 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176212, best_loss=0.175868
- 2022-02-12 17:15:21,180 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.640501499176025s
- 2022-02-12 17:15:21,180 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:15:21,180 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:15:21,180 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 150
- 2022-02-12 17:15:21,299 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137868 Loss2 0.311794
- 2022-02-12 17:15:36,586 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187400, best_loss=0.179812
- 2022-02-12 17:15:37,742 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176240, best_loss=0.175868
- 2022-02-12 17:15:37,743 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.562997579574585s
- 2022-02-12 17:15:37,743 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:15:37,743 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:15:37,743 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 151
- 2022-02-12 17:15:37,872 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163559 Loss2 0.327374
- 2022-02-12 17:15:53,222 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187084, best_loss=0.179812
- 2022-02-12 17:15:54,286 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176298, best_loss=0.175868
- 2022-02-12 17:15:54,287 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.54349994659424s
- 2022-02-12 17:15:54,287 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:15:54,287 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:15:54,287 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 152
- 2022-02-12 17:15:54,398 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151725 Loss2 0.341183
- 2022-02-12 17:16:10,135 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187396, best_loss=0.179812
- 2022-02-12 17:16:11,210 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176296, best_loss=0.175868
- 2022-02-12 17:16:11,211 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.924001216888428s
- 2022-02-12 17:16:11,211 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:16:11,211 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:16:11,211 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 153
- 2022-02-12 17:16:11,316 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138935 Loss2 0.320096
- 2022-02-12 17:16:26,459 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187248, best_loss=0.179812
- 2022-02-12 17:16:27,532 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176306, best_loss=0.175868
- 2022-02-12 17:16:27,533 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.32249879837036s
- 2022-02-12 17:16:27,533 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:16:27,533 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:16:27,533 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 154
- 2022-02-12 17:16:27,656 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.133533 Loss2 0.293561
- 2022-02-12 17:16:42,876 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187188, best_loss=0.179812
- 2022-02-12 17:16:43,934 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176374, best_loss=0.175868
- 2022-02-12 17:16:43,934 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.401000499725342s
- 2022-02-12 17:16:43,934 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:16:43,935 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:16:43,935 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 155
- 2022-02-12 17:16:44,057 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.123574 Loss2 0.308344
- 2022-02-12 17:16:59,541 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186946, best_loss=0.179812
- 2022-02-12 17:17:00,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176355, best_loss=0.175868
- 2022-02-12 17:17:00,623 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.68799901008606s
- 2022-02-12 17:17:00,623 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:17:00,623 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:17:00,623 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 156
- 2022-02-12 17:17:00,743 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.139937 Loss2 0.309578
- 2022-02-12 17:17:16,016 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188736, best_loss=0.179812
- 2022-02-12 17:17:17,102 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176501, best_loss=0.175868
- 2022-02-12 17:17:17,102 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.479499578475952s
- 2022-02-12 17:17:17,102 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:17:17,103 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:17:17,103 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 157
- 2022-02-12 17:17:17,226 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151473 Loss2 0.298350
- 2022-02-12 17:17:32,589 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186931, best_loss=0.179812
- 2022-02-12 17:17:33,662 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176631, best_loss=0.175868
- 2022-02-12 17:17:33,662 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.559501886367798s
- 2022-02-12 17:17:33,662 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:17:33,662 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:17:33,663 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 158
- 2022-02-12 17:17:33,768 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.150001 Loss2 0.312391
- 2022-02-12 17:17:49,143 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.188056, best_loss=0.179812
- 2022-02-12 17:17:50,202 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176651, best_loss=0.175868
- 2022-02-12 17:17:50,202 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.539499759674072s
- 2022-02-12 17:17:50,203 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:17:50,203 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:17:50,203 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 159
- 2022-02-12 17:17:50,329 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149444 Loss2 0.322955
- 2022-02-12 17:18:05,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187454, best_loss=0.179812
- 2022-02-12 17:18:06,870 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176772, best_loss=0.175868
- 2022-02-12 17:18:06,871 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.66849946975708s
- 2022-02-12 17:18:06,871 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:18:06,871 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:18:06,872 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 160
- 2022-02-12 17:18:06,997 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147024 Loss2 0.313888
- 2022-02-12 17:18:22,317 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186459, best_loss=0.179812
- 2022-02-12 17:18:23,411 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176736, best_loss=0.175868
- 2022-02-12 17:18:23,412 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53999900817871s
- 2022-02-12 17:18:23,412 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:18:23,412 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:18:23,412 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 161
- 2022-02-12 17:18:23,524 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.157670 Loss2 0.295197
- 2022-02-12 17:18:38,863 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186548, best_loss=0.179812
- 2022-02-12 17:18:39,950 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176518, best_loss=0.175868
- 2022-02-12 17:18:39,950 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.53800106048584s
- 2022-02-12 17:18:39,951 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:18:39,951 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:18:39,951 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 162
- 2022-02-12 17:18:40,069 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.153221 Loss2 0.318474
- 2022-02-12 17:18:55,341 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186251, best_loss=0.179812
- 2022-02-12 17:18:56,399 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176535, best_loss=0.175868
- 2022-02-12 17:18:56,400 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.44899892807007s
- 2022-02-12 17:18:56,400 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:18:56,400 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:18:56,400 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 163
- 2022-02-12 17:18:56,528 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.167181 Loss2 0.342780
- 2022-02-12 17:19:12,101 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187133, best_loss=0.179812
- 2022-02-12 17:19:13,177 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176535, best_loss=0.175868
- 2022-02-12 17:19:13,177 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.7770037651062s
- 2022-02-12 17:19:13,177 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:19:13,177 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:19:13,177 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 164
- 2022-02-12 17:19:13,293 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.133364 Loss2 0.284182
- 2022-02-12 17:19:28,666 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187185, best_loss=0.179812
- 2022-02-12 17:19:29,737 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176547, best_loss=0.175868
- 2022-02-12 17:19:29,738 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.559998035430908s
- 2022-02-12 17:19:29,738 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:19:29,738 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:19:29,738 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 165
- 2022-02-12 17:19:29,860 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.163493 Loss2 0.309408
- 2022-02-12 17:19:45,121 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186618, best_loss=0.179812
- 2022-02-12 17:19:46,195 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176540, best_loss=0.175868
- 2022-02-12 17:19:46,196 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.457501649856567s
- 2022-02-12 17:19:46,196 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:19:46,196 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:19:46,196 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 166
- 2022-02-12 17:19:46,319 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.149561 Loss2 0.302099
- 2022-02-12 17:20:01,694 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186311, best_loss=0.179812
- 2022-02-12 17:20:02,766 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176541, best_loss=0.175868
- 2022-02-12 17:20:02,766 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.570497512817383s
- 2022-02-12 17:20:02,766 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:20:02,766 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:20:02,766 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 167
- 2022-02-12 17:20:02,891 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.159940 Loss2 0.312399
- 2022-02-12 17:20:18,375 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187408, best_loss=0.179812
- 2022-02-12 17:20:19,446 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176548, best_loss=0.175868
- 2022-02-12 17:20:19,447 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.681000232696533s
- 2022-02-12 17:20:19,447 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:20:19,447 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:20:19,447 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 168
- 2022-02-12 17:20:19,565 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.140846 Loss2 0.329443
- 2022-02-12 17:20:34,867 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187017, best_loss=0.179812
- 2022-02-12 17:20:35,942 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176527, best_loss=0.175868
- 2022-02-12 17:20:35,942 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.495001792907715s
- 2022-02-12 17:20:35,942 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:20:35,942 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:20:35,943 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 169
- 2022-02-12 17:20:36,048 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147246 Loss2 0.334439
- 2022-02-12 17:20:51,512 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186331, best_loss=0.179812
- 2022-02-12 17:20:52,601 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176483, best_loss=0.175868
- 2022-02-12 17:20:52,602 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.658998250961304s
- 2022-02-12 17:20:52,602 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:20:52,602 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:20:52,602 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 170
- 2022-02-12 17:20:52,715 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147119 Loss2 0.322568
- 2022-02-12 17:21:08,065 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187549, best_loss=0.179812
- 2022-02-12 17:21:09,152 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176447, best_loss=0.175868
- 2022-02-12 17:21:09,153 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.550500869750977s
- 2022-02-12 17:21:09,153 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:21:09,153 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:21:09,153 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 171
- 2022-02-12 17:21:09,265 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.162562 Loss2 0.317289
- 2022-02-12 17:21:24,514 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187479, best_loss=0.179812
- 2022-02-12 17:21:25,582 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176480, best_loss=0.175868
- 2022-02-12 17:21:25,582 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.428998470306396s
- 2022-02-12 17:21:25,582 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:21:25,583 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:21:25,583 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 172
- 2022-02-12 17:21:25,703 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156410 Loss2 0.318773
- 2022-02-12 17:21:41,153 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187503, best_loss=0.179812
- 2022-02-12 17:21:42,220 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176505, best_loss=0.175868
- 2022-02-12 17:21:42,221 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.638500213623047s
- 2022-02-12 17:21:42,221 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:21:42,221 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:21:42,221 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 173
- 2022-02-12 17:21:42,338 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.171342 Loss2 0.337784
- 2022-02-12 17:21:57,818 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187127, best_loss=0.179812
- 2022-02-12 17:21:58,893 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176422, best_loss=0.175868
- 2022-02-12 17:21:58,894 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.67250084877014s
- 2022-02-12 17:21:58,894 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:21:58,894 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:21:58,894 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 174
- 2022-02-12 17:21:59,016 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.133421 Loss2 0.296322
- 2022-02-12 17:22:14,198 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187658, best_loss=0.179812
- 2022-02-12 17:22:15,278 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176458, best_loss=0.175868
- 2022-02-12 17:22:15,278 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.38450002670288s
- 2022-02-12 17:22:15,279 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:22:15,279 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:22:15,279 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 175
- 2022-02-12 17:22:15,399 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.182893 Loss2 0.363195
- 2022-02-12 17:22:30,803 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187355, best_loss=0.179812
- 2022-02-12 17:22:31,885 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176435, best_loss=0.175868
- 2022-02-12 17:22:31,885 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60650110244751s
- 2022-02-12 17:22:31,885 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:22:31,885 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:22:31,885 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 176
- 2022-02-12 17:22:31,994 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.132730 Loss2 0.299698
- 2022-02-12 17:22:47,553 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186688, best_loss=0.179812
- 2022-02-12 17:22:48,624 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176449, best_loss=0.175868
- 2022-02-12 17:22:48,624 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.73899817466736s
- 2022-02-12 17:22:48,624 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:22:48,624 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:22:48,624 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 177
- 2022-02-12 17:22:48,733 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.138578 Loss2 0.338473
- 2022-02-12 17:23:03,956 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186735, best_loss=0.179812
- 2022-02-12 17:23:05,004 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176551, best_loss=0.175868
- 2022-02-12 17:23:05,004 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.380002737045288s
- 2022-02-12 17:23:05,004 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:23:05,005 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:23:05,005 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 178
- 2022-02-12 17:23:05,112 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.126344 Loss2 0.294061
- 2022-02-12 17:23:20,551 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187800, best_loss=0.179812
- 2022-02-12 17:23:21,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176620, best_loss=0.175868
- 2022-02-12 17:23:21,623 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.61849808692932s
- 2022-02-12 17:23:21,623 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:23:21,623 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:23:21,623 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 179
- 2022-02-12 17:23:21,738 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.145086 Loss2 0.307752
- 2022-02-12 17:23:37,193 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186833, best_loss=0.179812
- 2022-02-12 17:23:38,272 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176602, best_loss=0.175868
- 2022-02-12 17:23:38,273 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.649499893188477s
- 2022-02-12 17:23:38,273 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:23:38,273 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:23:38,273 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 180
- 2022-02-12 17:23:38,387 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137101 Loss2 0.293155
- 2022-02-12 17:23:53,778 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186636, best_loss=0.179812
- 2022-02-12 17:23:54,855 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176664, best_loss=0.175868
- 2022-02-12 17:23:54,856 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.58300018310547s
- 2022-02-12 17:23:54,856 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:23:54,856 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:23:54,856 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 181
- 2022-02-12 17:23:54,961 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.156323 Loss2 0.355960
- 2022-02-12 17:24:10,418 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186828, best_loss=0.179812
- 2022-02-12 17:24:11,497 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176716, best_loss=0.175868
- 2022-02-12 17:24:11,497 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.641001224517822s
- 2022-02-12 17:24:11,497 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:24:11,498 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:24:11,498 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 182
- 2022-02-12 17:24:11,607 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.160242 Loss2 0.358465
- 2022-02-12 17:24:26,975 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186206, best_loss=0.179812
- 2022-02-12 17:24:28,063 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176652, best_loss=0.175868
- 2022-02-12 17:24:28,063 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.565500736236572s
- 2022-02-12 17:24:28,064 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:24:28,064 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:24:28,064 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 183
- 2022-02-12 17:24:28,179 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.130952 Loss2 0.274750
- 2022-02-12 17:24:43,636 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187765, best_loss=0.179812
- 2022-02-12 17:24:44,710 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176691, best_loss=0.175868
- 2022-02-12 17:24:44,710 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.646525859832764s
- 2022-02-12 17:24:44,710 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:24:44,710 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:24:44,710 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 184
- 2022-02-12 17:24:44,824 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143610 Loss2 0.296687
- 2022-02-12 17:25:00,340 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186285, best_loss=0.179812
- 2022-02-12 17:25:01,423 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176802, best_loss=0.175868
- 2022-02-12 17:25:01,423 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.712975025177002s
- 2022-02-12 17:25:01,423 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:25:01,424 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:25:01,424 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 185
- 2022-02-12 17:25:01,541 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.130765 Loss2 0.303743
- 2022-02-12 17:25:16,939 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186575, best_loss=0.179812
- 2022-02-12 17:25:18,020 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176759, best_loss=0.175868
- 2022-02-12 17:25:18,020 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.59649896621704s
- 2022-02-12 17:25:18,020 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:25:18,020 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:25:18,020 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 186
- 2022-02-12 17:25:18,143 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.152768 Loss2 0.327612
- 2022-02-12 17:25:33,611 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187726, best_loss=0.179812
- 2022-02-12 17:25:34,676 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176814, best_loss=0.175868
- 2022-02-12 17:25:34,677 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.6564998626709s
- 2022-02-12 17:25:34,677 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:25:34,677 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:25:34,677 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 187
- 2022-02-12 17:25:34,809 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.165984 Loss2 0.328924
- 2022-02-12 17:25:50,333 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187033, best_loss=0.179812
- 2022-02-12 17:25:51,421 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176811, best_loss=0.175868
- 2022-02-12 17:25:51,422 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.744504690170288s
- 2022-02-12 17:25:51,422 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:25:51,422 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:25:51,422 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 188
- 2022-02-12 17:25:51,545 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.132977 Loss2 0.315158
- 2022-02-12 17:26:06,894 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186700, best_loss=0.179812
- 2022-02-12 17:26:07,974 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176788, best_loss=0.175868
- 2022-02-12 17:26:07,974 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.552497148513794s
- 2022-02-12 17:26:07,974 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:26:07,975 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:26:07,975 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 189
- 2022-02-12 17:26:08,083 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.137625 Loss2 0.294996
- 2022-02-12 17:26:23,544 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186484, best_loss=0.179812
- 2022-02-12 17:26:24,622 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176957, best_loss=0.175868
- 2022-02-12 17:26:24,622 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64749836921692s
- 2022-02-12 17:26:24,622 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:26:24,622 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:26:24,622 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 190
- 2022-02-12 17:26:24,741 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148250 Loss2 0.310743
- 2022-02-12 17:26:39,977 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186743, best_loss=0.179812
- 2022-02-12 17:26:41,020 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176979, best_loss=0.175868
- 2022-02-12 17:26:41,021 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.39800214767456s
- 2022-02-12 17:26:41,021 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:26:41,021 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:26:41,021 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 191
- 2022-02-12 17:26:41,146 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.147675 Loss2 0.299467
- 2022-02-12 17:26:56,390 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186236, best_loss=0.179812
- 2022-02-12 17:26:57,414 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.176960, best_loss=0.175868
- 2022-02-12 17:26:57,414 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.392998456954956s
- 2022-02-12 17:26:57,414 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:26:57,414 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:26:57,414 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 192
- 2022-02-12 17:26:57,529 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.140989 Loss2 0.314582
- 2022-02-12 17:27:12,938 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186438, best_loss=0.179812
- 2022-02-12 17:27:14,015 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177048, best_loss=0.175868
- 2022-02-12 17:27:14,015 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.60100269317627s
- 2022-02-12 17:27:14,016 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:27:14,016 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:27:14,016 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 193
- 2022-02-12 17:27:14,132 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.164098 Loss2 0.315706
- 2022-02-12 17:27:29,452 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187439, best_loss=0.179812
- 2022-02-12 17:27:30,513 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177049, best_loss=0.175868
- 2022-02-12 17:27:30,514 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.498001098632812s
- 2022-02-12 17:27:30,514 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:27:30,514 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:27:30,514 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 194
- 2022-02-12 17:27:30,618 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.143519 Loss2 0.328511
- 2022-02-12 17:27:45,906 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.185985, best_loss=0.179812
- 2022-02-12 17:27:46,970 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177147, best_loss=0.175868
- 2022-02-12 17:27:46,971 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.457000732421875s
- 2022-02-12 17:27:46,971 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:27:46,971 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:27:46,971 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 195
- 2022-02-12 17:27:47,084 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.129903 Loss2 0.297264
- 2022-02-12 17:28:02,351 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187262, best_loss=0.179812
- 2022-02-12 17:28:03,418 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177042, best_loss=0.175868
- 2022-02-12 17:28:03,419 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.448498725891113s
- 2022-02-12 17:28:03,419 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:28:03,419 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:28:03,419 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 196
- 2022-02-12 17:28:03,547 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.155083 Loss2 0.334741
- 2022-02-12 17:28:18,880 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186415, best_loss=0.179812
- 2022-02-12 17:28:19,925 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177029, best_loss=0.175868
- 2022-02-12 17:28:19,926 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.50649857521057s
- 2022-02-12 17:28:19,926 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:28:19,926 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:28:19,926 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 197
- 2022-02-12 17:28:20,039 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.151779 Loss2 0.346120
- 2022-02-12 17:28:35,513 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187063, best_loss=0.179812
- 2022-02-12 17:28:36,603 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177060, best_loss=0.175868
- 2022-02-12 17:28:36,604 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.677499294281006s
- 2022-02-12 17:28:36,604 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:28:36,604 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:28:36,604 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 198
- 2022-02-12 17:28:36,715 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.148987 Loss2 0.312151
- 2022-02-12 17:28:52,121 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.186899, best_loss=0.179812
- 2022-02-12 17:28:53,190 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177080, best_loss=0.175868
- 2022-02-12 17:28:53,190 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.586000680923462s
- 2022-02-12 17:28:53,190 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
- 2022-02-12 17:28:53,190 - G:/naic_csi_2021/tasks/train.py[line:184] - INFO: ###########
- 2022-02-12 17:28:53,190 - G:/naic_csi_2021/tasks/train.py[line:185] - INFO: epoch 199
- 2022-02-12 17:28:53,304 - G:/naic_csi_2021/tasks/train.py[line:200] - INFO: Epoch: [epoch] Loss 0.113236 Loss2 0.297038
- 2022-02-12 17:29:08,739 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.187059, best_loss=0.179812
- 2022-02-12 17:29:09,830 - G:/naic_csi_2021/tasks/train.py[line:136] - INFO: average_loss=0.177136, best_loss=0.175868
- 2022-02-12 17:29:09,830 - G:/naic_csi_2021/tasks/train.py[line:211] - INFO: cost 16.64000105857849s
- 2022-02-12 17:29:09,830 - G:/naic_csi_2021/tasks/train.py[line:212] - INFO: ###########
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