|
- 2022-01-02 10:54:19,503 - G:/naic_csi_2021/tasks/train.py[line:112] - INFO: (8000, 2, 126, 128)
- 2022-01-02 10:54:20,798 - G:/naic_csi_2021/tasks/train.py[line:117] - INFO: (2000, 2, 126, 128)
- 2022-01-02 10:54:23,016 - G:/naic_csi_2021/tasks/train.py[line:174] - INFO: start train
- 2022-01-02 10:54:23,016 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 10:54:23,016 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 0
- 2022-01-02 10:58:30,296 - G:/naic_csi_2021/tasks/train.py[line:112] - INFO: (8000, 2, 126, 128)
- 2022-01-02 10:58:31,569 - G:/naic_csi_2021/tasks/train.py[line:117] - INFO: (2000, 2, 126, 128)
- 2022-01-02 10:58:32,719 - G:/naic_csi_2021/tasks/train.py[line:174] - INFO: start train
- 2022-01-02 10:58:32,720 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 10:58:32,720 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 0
- 2022-01-02 11:02:11,075 - G:/naic_csi_2021/tasks/train.py[line:112] - INFO: (8000, 2, 126, 128)
- 2022-01-02 11:02:12,343 - G:/naic_csi_2021/tasks/train.py[line:117] - INFO: (2000, 2, 126, 128)
- 2022-01-02 11:02:13,506 - G:/naic_csi_2021/tasks/train.py[line:174] - INFO: start train
- 2022-01-02 11:02:13,506 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:02:13,507 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 0
- 2022-01-02 11:06:31,909 - G:/naic_csi_2021/tasks/train.py[line:112] - INFO: (8000, 2, 126, 128)
- 2022-01-02 11:06:33,176 - G:/naic_csi_2021/tasks/train.py[line:117] - INFO: (2000, 2, 126, 128)
- 2022-01-02 11:06:34,362 - G:/naic_csi_2021/tasks/train.py[line:174] - INFO: start train
- 2022-01-02 11:06:34,363 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:06:34,363 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 0
- 2022-01-02 11:06:51,183 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 568.276794 Loss2 0.437732
- 2022-01-02 11:07:00,760 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=18.377203, best_loss=best_loss:.6f
- 2022-01-02 11:07:06,217 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=395.719967, best_loss=best_loss:.6f
- 2022-01-02 11:07:06,218 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.854958057403564s
- 2022-01-02 11:07:06,218 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:07:06,218 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:07:06,218 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 1
- 2022-01-02 11:07:22,493 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 18.308628 Loss2 0.409747
- 2022-01-02 11:07:31,970 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.324076, best_loss=best_loss:.6f
- 2022-01-02 11:07:37,377 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=186.756954, best_loss=best_loss:.6f
- 2022-01-02 11:07:37,377 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.159062147140503s
- 2022-01-02 11:07:37,377 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:07:37,377 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:07:37,378 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 2
- 2022-01-02 11:07:53,294 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 3.341405 Loss2 1.356989
- 2022-01-02 11:08:02,780 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.996611, best_loss=best_loss:.6f
- 2022-01-02 11:08:08,138 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=81.592061, best_loss=best_loss:.6f
- 2022-01-02 11:08:08,138 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.76069474220276s
- 2022-01-02 11:08:08,139 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:08:08,139 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:08:08,139 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 3
- 2022-01-02 11:10:28,858 - G:/naic_csi_2021/tasks/train.py[line:112] - INFO: (8000, 2, 126, 128)
- 2022-01-02 11:10:30,145 - G:/naic_csi_2021/tasks/train.py[line:117] - INFO: (2000, 2, 126, 128)
- 2022-01-02 11:10:31,322 - G:/naic_csi_2021/tasks/train.py[line:174] - INFO: start train
- 2022-01-02 11:10:31,322 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:10:31,322 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 0
- 2022-01-02 11:10:48,282 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 568.276794 Loss2 0.437732
- 2022-01-02 11:10:57,731 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=18.377203, best_loss=1.000000
- 2022-01-02 11:11:03,085 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=395.719967, best_loss=1.000000
- 2022-01-02 11:11:03,085 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.762999773025513s
- 2022-01-02 11:11:03,085 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:11:03,085 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:11:03,085 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 1
- 2022-01-02 11:11:19,223 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 18.308628 Loss2 0.409747
- 2022-01-02 11:11:28,726 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.324076, best_loss=1.000000
- 2022-01-02 11:11:34,113 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=186.756954, best_loss=1.000000
- 2022-01-02 11:11:34,114 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.02815079689026s
- 2022-01-02 11:11:34,114 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:11:34,114 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:11:34,114 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 2
- 2022-01-02 11:11:50,411 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 3.341405 Loss2 1.356989
- 2022-01-02 11:11:59,897 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.996611, best_loss=1.000000
- 2022-01-02 11:12:05,322 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=81.592061, best_loss=1.000000
- 2022-01-02 11:12:05,323 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.20865750312805s
- 2022-01-02 11:12:05,323 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:12:05,323 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:12:05,323 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 3
- 2022-01-02 11:12:21,211 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 2.003421 Loss2 1.499997
- 2022-01-02 11:12:30,672 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.545661, best_loss=1.000000
- 2022-01-02 11:12:36,118 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=37.246058, best_loss=1.000000
- 2022-01-02 11:12:36,118 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.795043230056763s
- 2022-01-02 11:12:36,118 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:12:36,118 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:12:36,118 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 4
- 2022-01-02 11:12:54,540 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.551954 Loss2 0.929629
- 2022-01-02 11:13:05,724 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.349059, best_loss=1.000000
- 2022-01-02 11:13:11,378 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=16.885639, best_loss=1.000000
- 2022-01-02 11:13:11,379 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.26047205924988s
- 2022-01-02 11:13:11,379 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:13:11,379 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:13:11,379 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 5
- 2022-01-02 11:13:29,844 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.350933 Loss2 0.698146
- 2022-01-02 11:13:40,583 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=2.152168, best_loss=1.000000
- 2022-01-02 11:13:46,153 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=8.046331, best_loss=1.000000
- 2022-01-02 11:13:46,154 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.77499604225159s
- 2022-01-02 11:13:46,154 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:13:46,154 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:13:46,154 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 6
- 2022-01-02 11:14:04,744 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 2.033329 Loss2 0.741710
- 2022-01-02 11:14:15,386 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.502129, best_loss=1.000000
- 2022-01-02 11:14:20,962 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.793451, best_loss=1.000000
- 2022-01-02 11:14:20,962 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.808499336242676s
- 2022-01-02 11:14:20,963 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:14:20,963 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:14:20,963 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 7
- 2022-01-02 11:14:39,484 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.502478 Loss2 0.516144
- 2022-01-02 11:14:50,489 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.106137, best_loss=1.000000
- 2022-01-02 11:14:56,115 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=2.219325, best_loss=1.000000
- 2022-01-02 11:14:56,116 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.15349864959717s
- 2022-01-02 11:14:56,116 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:14:56,116 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:14:56,116 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 8
- 2022-01-02 11:15:13,724 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.108386 Loss2 0.405815
- 2022-01-02 11:15:25,264 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.243757, best_loss=1.000000
- 2022-01-02 11:15:30,911 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.634603, best_loss=1.000000
- 2022-01-02 11:15:30,912 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.795079469680786s
- 2022-01-02 11:15:30,912 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:15:30,912 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:15:30,912 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 9
- 2022-01-02 11:15:50,034 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.244588 Loss2 0.328723
- 2022-01-02 11:16:00,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.376421, best_loss=1.000000
- 2022-01-02 11:16:06,364 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.369225, best_loss=1.000000
- 2022-01-02 11:16:06,364 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.45250058174133s
- 2022-01-02 11:16:06,364 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:16:06,364 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:16:06,364 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 10
- 2022-01-02 11:16:25,691 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.384093 Loss2 0.339780
- 2022-01-02 11:16:36,839 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.140886, best_loss=1.000000
- 2022-01-02 11:16:42,568 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.227734, best_loss=1.000000
- 2022-01-02 11:16:42,569 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.20449924468994s
- 2022-01-02 11:16:42,569 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:16:42,569 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:16:42,569 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 11
- 2022-01-02 11:17:03,529 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.138154 Loss2 0.534305
- 2022-01-02 11:17:14,929 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.140851, best_loss=1.000000
- 2022-01-02 11:17:20,946 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.156006, best_loss=1.000000
- 2022-01-02 11:17:20,947 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.37800049781799s
- 2022-01-02 11:17:20,947 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:17:20,947 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:17:20,947 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 12
- 2022-01-02 11:17:39,514 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.136456 Loss2 0.629765
- 2022-01-02 11:17:49,026 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.026826, best_loss=1.000000
- 2022-01-02 11:17:54,421 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.113363, best_loss=1.000000
- 2022-01-02 11:17:54,421 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.47395348548889s
- 2022-01-02 11:17:54,421 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:17:54,421 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:17:54,421 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 13
- 2022-01-02 11:18:19,523 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.037464 Loss2 0.646485
- 2022-01-02 11:18:31,359 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.921261, best_loss=1.000000
- 2022-01-02 11:18:31,383 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:18:37,570 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.081023, best_loss=1.000000
- 2022-01-02 11:18:37,570 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.1489634513855s
- 2022-01-02 11:18:37,570 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:18:37,571 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:18:37,571 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 14
- 2022-01-02 11:19:03,636 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.994651 Loss2 0.601109
- 2022-01-02 11:19:15,037 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.788890, best_loss=0.921261
- 2022-01-02 11:19:15,060 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:19:21,268 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.045548, best_loss=1.000000
- 2022-01-02 11:19:21,269 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.69800019264221s
- 2022-01-02 11:19:21,269 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:19:21,269 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:19:21,269 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 15
- 2022-01-02 11:19:47,493 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.818954 Loss2 0.604267
- 2022-01-02 11:19:58,762 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.741042, best_loss=0.788890
- 2022-01-02 11:19:58,785 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:20:05,046 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.994142, best_loss=1.000000
- 2022-01-02 11:20:05,066 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:20:05,066 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.797001123428345s
- 2022-01-02 11:20:05,066 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:20:05,066 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:20:05,066 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 16
- 2022-01-02 11:20:31,883 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.781317 Loss2 0.600662
- 2022-01-02 11:20:43,259 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.017483, best_loss=0.741042
- 2022-01-02 11:20:49,437 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.169582, best_loss=0.994142
- 2022-01-02 11:20:49,438 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.37100148200989s
- 2022-01-02 11:20:49,438 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:20:49,438 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:20:49,438 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 17
- 2022-01-02 11:21:15,333 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.060132 Loss2 0.502763
- 2022-01-02 11:21:26,587 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.704284, best_loss=0.741042
- 2022-01-02 11:21:26,607 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:21:32,910 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.004476, best_loss=0.994142
- 2022-01-02 11:21:32,911 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.47249889373779s
- 2022-01-02 11:21:32,911 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:21:32,911 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:21:32,911 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 18
- 2022-01-02 11:22:01,272 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.776854 Loss2 0.544748
- 2022-01-02 11:22:12,606 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.687987, best_loss=0.704284
- 2022-01-02 11:22:12,629 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:22:18,891 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.950002, best_loss=0.994142
- 2022-01-02 11:22:18,912 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:22:18,913 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.00200295448303s
- 2022-01-02 11:22:18,913 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:22:18,913 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:22:18,913 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 19
- 2022-01-02 11:22:46,343 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.729819 Loss2 0.554294
- 2022-01-02 11:22:57,812 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.664468, best_loss=0.687987
- 2022-01-02 11:22:57,833 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:23:04,220 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.828343, best_loss=0.950002
- 2022-01-02 11:23:04,242 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:23:04,243 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.32999897003174s
- 2022-01-02 11:23:04,243 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:23:04,243 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:23:04,243 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 20
- 2022-01-02 11:23:31,065 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.705275 Loss2 0.549978
- 2022-01-02 11:23:42,308 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.658588, best_loss=0.664468
- 2022-01-02 11:23:42,329 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:23:48,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.751279, best_loss=0.828343
- 2022-01-02 11:23:48,577 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:23:48,578 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.33500003814697s
- 2022-01-02 11:23:48,578 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:23:48,578 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:23:48,578 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 21
- 2022-01-02 11:24:16,518 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.700932 Loss2 0.504895
- 2022-01-02 11:24:27,701 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.639109, best_loss=0.658588
- 2022-01-02 11:24:27,723 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:24:33,925 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.704893, best_loss=0.751279
- 2022-01-02 11:24:33,945 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:24:33,946 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.36750078201294s
- 2022-01-02 11:24:33,946 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:24:33,946 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:24:33,946 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 22
- 2022-01-02 11:25:00,613 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.681603 Loss2 0.530887
- 2022-01-02 11:25:11,402 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.627372, best_loss=0.639109
- 2022-01-02 11:25:11,423 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:25:17,580 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.675427, best_loss=0.704893
- 2022-01-02 11:25:17,601 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:25:17,602 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.656001567840576s
- 2022-01-02 11:25:17,602 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:25:17,602 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:25:17,602 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 23
- 2022-01-02 11:25:44,566 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.647151 Loss2 0.533616
- 2022-01-02 11:25:55,738 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.626265, best_loss=0.627372
- 2022-01-02 11:25:55,761 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:26:01,997 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.653583, best_loss=0.675427
- 2022-01-02 11:26:02,018 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:26:02,019 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.41649794578552s
- 2022-01-02 11:26:02,019 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:26:02,019 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:26:02,019 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 24
- 2022-01-02 11:26:29,087 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.649160 Loss2 0.486903
- 2022-01-02 11:26:40,463 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.621801, best_loss=0.626265
- 2022-01-02 11:26:40,484 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:26:46,672 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.636165, best_loss=0.653583
- 2022-01-02 11:26:46,694 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:26:46,695 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.67550253868103s
- 2022-01-02 11:26:46,695 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:26:46,695 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:26:46,695 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 25
- 2022-01-02 11:27:11,767 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.662534 Loss2 0.532509
- 2022-01-02 11:27:23,090 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.605841, best_loss=0.621801
- 2022-01-02 11:27:23,119 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:27:29,473 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.622246, best_loss=0.636165
- 2022-01-02 11:27:29,495 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:27:29,496 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.8009979724884s
- 2022-01-02 11:27:29,496 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:27:29,496 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:27:29,496 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 26
- 2022-01-02 11:27:57,698 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.640648 Loss2 0.603938
- 2022-01-02 11:28:09,033 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.604413, best_loss=0.605841
- 2022-01-02 11:28:09,054 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:28:15,647 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.611681, best_loss=0.622246
- 2022-01-02 11:28:15,669 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:28:15,670 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.173999071121216s
- 2022-01-02 11:28:15,670 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:28:15,670 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:28:15,670 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 27
- 2022-01-02 11:28:43,493 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.654255 Loss2 0.492161
- 2022-01-02 11:28:54,814 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.596541, best_loss=0.604413
- 2022-01-02 11:28:54,836 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:29:01,221 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.602944, best_loss=0.611681
- 2022-01-02 11:29:01,243 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:29:01,244 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.57400178909302s
- 2022-01-02 11:29:01,244 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:29:01,244 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:29:01,244 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 28
- 2022-01-02 11:29:27,869 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.629191 Loss2 0.479928
- 2022-01-02 11:29:39,515 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.592127, best_loss=0.596541
- 2022-01-02 11:29:39,537 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:29:46,239 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.595236, best_loss=0.602944
- 2022-01-02 11:29:46,263 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:29:46,264 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.0199978351593s
- 2022-01-02 11:29:46,264 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:29:46,264 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:29:46,264 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 29
- 2022-01-02 11:30:11,478 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.661569 Loss2 0.491800
- 2022-01-02 11:30:22,391 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.589218, best_loss=0.592127
- 2022-01-02 11:30:22,411 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:30:28,793 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.588275, best_loss=0.595236
- 2022-01-02 11:30:28,814 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:30:28,815 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.55049681663513s
- 2022-01-02 11:30:28,815 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:30:28,815 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:30:28,815 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 30
- 2022-01-02 11:30:55,143 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.684529 Loss2 0.491413
- 2022-01-02 11:31:06,800 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.589065, best_loss=0.589218
- 2022-01-02 11:31:06,821 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:31:13,283 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.582446, best_loss=0.588275
- 2022-01-02 11:31:13,304 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:31:13,305 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.49049997329712s
- 2022-01-02 11:31:13,305 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:31:13,305 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:31:13,305 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 31
- 2022-01-02 11:31:40,245 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.664236 Loss2 0.564190
- 2022-01-02 11:31:51,753 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.578958, best_loss=0.589065
- 2022-01-02 11:31:51,775 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:31:58,332 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.577168, best_loss=0.582446
- 2022-01-02 11:31:58,353 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:31:58,353 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.0480010509491s
- 2022-01-02 11:31:58,353 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:31:58,353 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:31:58,353 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 32
- 2022-01-02 11:32:26,469 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.607212 Loss2 0.514018
- 2022-01-02 11:32:38,215 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.577415, best_loss=0.578958
- 2022-01-02 11:32:38,238 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:32:44,953 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.572407, best_loss=0.577168
- 2022-01-02 11:32:44,974 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:32:44,975 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.62200164794922s
- 2022-01-02 11:32:44,975 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:32:44,975 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:32:44,975 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 33
- 2022-01-02 11:33:14,593 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.579551 Loss2 0.537792
- 2022-01-02 11:33:25,856 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.570037, best_loss=0.577415
- 2022-01-02 11:33:25,883 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:33:32,085 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.568080, best_loss=0.572407
- 2022-01-02 11:33:32,111 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:33:32,112 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.136998891830444s
- 2022-01-02 11:33:32,112 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:33:32,113 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:33:32,113 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 34
- 2022-01-02 11:33:59,696 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.629784 Loss2 0.540883
- 2022-01-02 11:34:11,095 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.570572, best_loss=0.570037
- 2022-01-02 11:34:18,016 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.564095, best_loss=0.568080
- 2022-01-02 11:34:18,041 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:34:18,042 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.92950224876404s
- 2022-01-02 11:34:18,042 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:34:18,042 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:34:18,042 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 35
- 2022-01-02 11:34:46,231 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.543716 Loss2 0.470338
- 2022-01-02 11:34:57,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.565330, best_loss=0.570037
- 2022-01-02 11:34:57,722 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:35:04,218 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.559927, best_loss=0.564095
- 2022-01-02 11:35:04,245 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:35:04,246 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.20349645614624s
- 2022-01-02 11:35:04,246 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:35:04,246 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:35:04,246 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 36
- 2022-01-02 11:35:35,301 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.605953 Loss2 0.486953
- 2022-01-02 11:35:46,795 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.560460, best_loss=0.565330
- 2022-01-02 11:35:46,818 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:35:53,073 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.555649, best_loss=0.559927
- 2022-01-02 11:35:53,106 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:35:53,106 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.860002279281616s
- 2022-01-02 11:35:53,106 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:35:53,107 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:35:53,107 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 37
- 2022-01-02 11:36:18,222 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.624653 Loss2 0.520578
- 2022-01-02 11:36:29,813 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.558271, best_loss=0.560460
- 2022-01-02 11:36:29,836 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:36:36,245 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.551375, best_loss=0.555649
- 2022-01-02 11:36:36,267 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:36:36,268 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.16100072860718s
- 2022-01-02 11:36:36,268 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:36:36,268 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:36:36,268 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 38
- 2022-01-02 11:37:05,712 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.611901 Loss2 0.532376
- 2022-01-02 11:37:17,342 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.553801, best_loss=0.558271
- 2022-01-02 11:37:17,364 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:37:23,703 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.547458, best_loss=0.551375
- 2022-01-02 11:37:23,725 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:37:23,725 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.45699977874756s
- 2022-01-02 11:37:23,725 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:37:23,725 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:37:23,725 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 39
- 2022-01-02 11:37:52,944 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.589900 Loss2 0.540344
- 2022-01-02 11:38:04,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.548163, best_loss=0.553801
- 2022-01-02 11:38:04,459 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:38:10,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.543358, best_loss=0.547458
- 2022-01-02 11:38:10,757 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:38:10,757 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.03200030326843s
- 2022-01-02 11:38:10,757 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:38:10,757 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:38:10,757 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 40
- 2022-01-02 11:38:37,420 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.604589 Loss2 0.587294
- 2022-01-02 11:38:48,274 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.543512, best_loss=0.548163
- 2022-01-02 11:38:48,295 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:38:54,286 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.539150, best_loss=0.543358
- 2022-01-02 11:38:54,307 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:38:54,308 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.55050015449524s
- 2022-01-02 11:38:54,308 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:38:54,308 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:38:54,308 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 41
- 2022-01-02 11:39:23,433 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.559388 Loss2 0.511322
- 2022-01-02 11:39:35,096 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.538958, best_loss=0.543512
- 2022-01-02 11:39:35,132 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:39:41,674 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.534629, best_loss=0.539150
- 2022-01-02 11:39:41,694 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:39:41,695 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.38700032234192s
- 2022-01-02 11:39:41,695 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:39:41,695 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:39:41,695 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 42
- 2022-01-02 11:40:07,230 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.556827 Loss2 0.646949
- 2022-01-02 11:40:18,731 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.531704, best_loss=0.538958
- 2022-01-02 11:40:18,750 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:40:24,219 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.529909, best_loss=0.534629
- 2022-01-02 11:40:24,237 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:40:24,238 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.54264807701111s
- 2022-01-02 11:40:24,238 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:40:24,238 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:40:24,238 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 43
- 2022-01-02 11:40:48,955 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.578245 Loss2 0.673235
- 2022-01-02 11:41:00,450 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=4.121077, best_loss=0.531704
- 2022-01-02 11:41:06,861 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.524883, best_loss=0.529909
- 2022-01-02 11:41:06,883 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:41:06,883 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.64500141143799s
- 2022-01-02 11:41:06,883 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:41:06,883 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:41:06,883 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 44
- 2022-01-02 11:41:34,439 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 4.237809 Loss2 0.497305
- 2022-01-02 11:41:45,820 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.329355, best_loss=0.531704
- 2022-01-02 11:41:52,202 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.820945, best_loss=0.524883
- 2022-01-02 11:41:52,203 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.31950092315674s
- 2022-01-02 11:41:52,203 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:41:52,203 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:41:52,203 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 45
- 2022-01-02 11:42:20,419 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.379018 Loss2 0.472697
- 2022-01-02 11:42:31,641 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.555006, best_loss=0.531704
- 2022-01-02 11:42:38,335 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.868387, best_loss=0.524883
- 2022-01-02 11:42:38,335 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.13249921798706s
- 2022-01-02 11:42:38,335 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:42:38,335 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:42:38,335 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 46
- 2022-01-02 11:43:10,254 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.573580 Loss2 0.601819
- 2022-01-02 11:43:21,928 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.533704, best_loss=0.531704
- 2022-01-02 11:43:28,341 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.769264, best_loss=0.524883
- 2022-01-02 11:43:28,341 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.00600266456604s
- 2022-01-02 11:43:28,341 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:43:28,341 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:43:28,341 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 47
- 2022-01-02 11:43:55,547 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.550747 Loss2 0.595303
- 2022-01-02 11:44:06,809 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.526208, best_loss=0.531704
- 2022-01-02 11:44:06,832 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:44:13,310 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.599070, best_loss=0.524883
- 2022-01-02 11:44:13,311 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.96899938583374s
- 2022-01-02 11:44:13,311 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:44:13,311 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:44:13,311 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 48
- 2022-01-02 11:44:41,766 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.577046 Loss2 0.587901
- 2022-01-02 11:44:53,029 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.520906, best_loss=0.526208
- 2022-01-02 11:44:53,052 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:44:59,410 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.562948, best_loss=0.524883
- 2022-01-02 11:44:59,410 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.09900140762329s
- 2022-01-02 11:44:59,410 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:44:59,410 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:44:59,410 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 49
- 2022-01-02 11:45:26,207 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.585428 Loss2 0.610164
- 2022-01-02 11:45:37,427 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.512580, best_loss=0.520906
- 2022-01-02 11:45:37,449 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:45:43,827 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.541155, best_loss=0.524883
- 2022-01-02 11:45:43,827 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.41699981689453s
- 2022-01-02 11:45:43,827 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:45:43,827 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:45:43,827 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 50
- 2022-01-02 11:46:10,978 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.553384 Loss2 0.664766
- 2022-01-02 11:46:22,353 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.507529, best_loss=0.512580
- 2022-01-02 11:46:22,375 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:46:28,762 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.526052, best_loss=0.524883
- 2022-01-02 11:46:28,763 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.935999393463135s
- 2022-01-02 11:46:28,763 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:46:28,763 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:46:28,763 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 51
- 2022-01-02 11:46:57,413 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.538930 Loss2 0.680281
- 2022-01-02 11:47:09,248 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.502322, best_loss=0.507529
- 2022-01-02 11:47:09,272 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:47:15,961 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.514695, best_loss=0.524883
- 2022-01-02 11:47:15,987 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:47:15,987 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.223999977111816s
- 2022-01-02 11:47:15,987 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:47:15,987 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:47:15,987 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 52
- 2022-01-02 11:47:45,223 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.526239 Loss2 0.622458
- 2022-01-02 11:47:56,754 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.497155, best_loss=0.502322
- 2022-01-02 11:47:56,779 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:48:03,245 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.506035, best_loss=0.514695
- 2022-01-02 11:48:03,267 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:48:03,268 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.28049921989441s
- 2022-01-02 11:48:03,268 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:48:03,268 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:48:03,268 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 53
- 2022-01-02 11:48:32,125 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.552765 Loss2 0.643301
- 2022-01-02 11:48:43,518 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.494422, best_loss=0.497155
- 2022-01-02 11:48:43,540 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:48:49,654 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.498795, best_loss=0.506035
- 2022-01-02 11:48:49,682 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:48:49,683 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.415000438690186s
- 2022-01-02 11:48:49,683 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:48:49,683 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:48:49,683 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 54
- 2022-01-02 11:49:15,390 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.512265 Loss2 0.697355
- 2022-01-02 11:49:26,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.487115, best_loss=0.494422
- 2022-01-02 11:49:26,760 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:49:33,269 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.492404, best_loss=0.498795
- 2022-01-02 11:49:33,290 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:49:33,291 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.60800004005432s
- 2022-01-02 11:49:33,291 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:49:33,291 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:49:33,291 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 55
- 2022-01-02 11:50:00,976 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.531449 Loss2 0.688434
- 2022-01-02 11:50:12,219 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.483524, best_loss=0.487115
- 2022-01-02 11:50:12,241 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:50:18,459 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.486950, best_loss=0.492404
- 2022-01-02 11:50:18,480 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:50:18,481 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.18950033187866s
- 2022-01-02 11:50:18,481 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:50:18,481 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:50:18,481 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 56
- 2022-01-02 11:50:45,630 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.534032 Loss2 0.733538
- 2022-01-02 11:50:56,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.480383, best_loss=0.483524
- 2022-01-02 11:50:56,969 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:51:03,437 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.481673, best_loss=0.486950
- 2022-01-02 11:51:03,460 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:51:03,460 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.97950100898743s
- 2022-01-02 11:51:03,461 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:51:03,461 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:51:03,461 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 57
- 2022-01-02 11:51:31,715 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.522322 Loss2 0.780631
- 2022-01-02 11:51:42,244 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.474244, best_loss=0.480383
- 2022-01-02 11:51:42,264 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:51:48,001 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.476733, best_loss=0.481673
- 2022-01-02 11:51:48,025 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:51:48,026 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.56457304954529s
- 2022-01-02 11:51:48,026 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:51:48,026 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:51:48,026 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 58
- 2022-01-02 11:52:07,938 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.522358 Loss2 0.718751
- 2022-01-02 11:52:18,823 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.470894, best_loss=0.474244
- 2022-01-02 11:52:18,843 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:52:24,518 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.471804, best_loss=0.476733
- 2022-01-02 11:52:24,537 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:52:24,538 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.51199984550476s
- 2022-01-02 11:52:24,538 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:52:24,538 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:52:24,538 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 59
- 2022-01-02 11:52:43,490 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.509593 Loss2 0.715920
- 2022-01-02 11:52:54,420 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.469277, best_loss=0.470894
- 2022-01-02 11:52:54,440 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:53:00,206 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.466875, best_loss=0.471804
- 2022-01-02 11:53:00,226 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:53:00,226 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.6879985332489s
- 2022-01-02 11:53:00,226 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:53:00,226 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:53:00,227 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 60
- 2022-01-02 11:53:19,366 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.490853 Loss2 0.706762
- 2022-01-02 11:53:30,255 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.461913, best_loss=0.469277
- 2022-01-02 11:53:30,280 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:53:36,022 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.462561, best_loss=0.466875
- 2022-01-02 11:53:36,049 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:53:36,049 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.82250094413757s
- 2022-01-02 11:53:36,050 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:53:36,050 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:53:36,050 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 61
- 2022-01-02 11:53:54,931 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.476522 Loss2 0.642944
- 2022-01-02 11:54:05,988 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.458775, best_loss=0.461913
- 2022-01-02 11:54:06,012 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:54:11,748 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.457867, best_loss=0.462561
- 2022-01-02 11:54:11,769 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:54:11,770 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.72050213813782s
- 2022-01-02 11:54:11,771 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:54:11,771 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:54:11,771 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 62
- 2022-01-02 11:54:30,705 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.505469 Loss2 0.743100
- 2022-01-02 11:54:42,151 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.456166, best_loss=0.458775
- 2022-01-02 11:54:42,179 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:54:47,940 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.453173, best_loss=0.457867
- 2022-01-02 11:54:47,960 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:54:47,961 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.18999981880188s
- 2022-01-02 11:54:47,961 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:54:47,961 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:54:47,961 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 63
- 2022-01-02 11:55:06,873 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.500340 Loss2 0.743311
- 2022-01-02 11:55:18,344 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.449237, best_loss=0.456166
- 2022-01-02 11:55:18,373 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:55:24,156 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.448864, best_loss=0.453173
- 2022-01-02 11:55:24,180 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:55:24,181 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.22000217437744s
- 2022-01-02 11:55:24,181 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:55:24,181 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:55:24,181 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 64
- 2022-01-02 11:55:42,449 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.449771 Loss2 0.842173
- 2022-01-02 11:55:52,366 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.448876, best_loss=0.449237
- 2022-01-02 11:55:52,384 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:55:58,011 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.444561, best_loss=0.448864
- 2022-01-02 11:55:58,031 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:55:58,032 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.85135555267334s
- 2022-01-02 11:55:58,032 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:55:58,032 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:55:58,032 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 65
- 2022-01-02 11:56:17,448 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.476093 Loss2 0.896360
- 2022-01-02 11:56:28,809 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.441805, best_loss=0.448876
- 2022-01-02 11:56:28,830 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:56:34,401 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.440187, best_loss=0.444561
- 2022-01-02 11:56:34,420 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:56:34,420 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.38850450515747s
- 2022-01-02 11:56:34,420 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:56:34,421 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:56:34,421 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 66
- 2022-01-02 11:56:54,239 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.494799 Loss2 0.928303
- 2022-01-02 11:57:05,603 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.439028, best_loss=0.441805
- 2022-01-02 11:57:05,622 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:57:11,687 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.435718, best_loss=0.440187
- 2022-01-02 11:57:11,710 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:57:11,711 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 37.290005683898926s
- 2022-01-02 11:57:11,711 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:57:11,711 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:57:11,711 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 67
- 2022-01-02 11:57:35,604 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.482453 Loss2 0.841916
- 2022-01-02 11:57:46,535 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.434894, best_loss=0.439028
- 2022-01-02 11:57:46,556 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:57:52,483 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.431187, best_loss=0.435718
- 2022-01-02 11:57:52,505 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:57:52,506 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.79499530792236s
- 2022-01-02 11:57:52,506 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:57:52,506 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:57:52,506 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 68
- 2022-01-02 11:58:17,501 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.506302 Loss2 0.932144
- 2022-01-02 11:58:29,055 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.433123, best_loss=0.434894
- 2022-01-02 11:58:29,076 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:58:35,279 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.426637, best_loss=0.431187
- 2022-01-02 11:58:35,300 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:58:35,301 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.79499864578247s
- 2022-01-02 11:58:35,301 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:58:35,301 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:58:35,301 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 69
- 2022-01-02 11:59:01,859 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.484774 Loss2 0.923062
- 2022-01-02 11:59:12,956 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.425634, best_loss=0.433123
- 2022-01-02 11:59:12,976 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:59:19,205 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.422371, best_loss=0.426637
- 2022-01-02 11:59:19,227 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 11:59:19,227 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.92649960517883s
- 2022-01-02 11:59:19,227 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 11:59:19,228 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 11:59:19,228 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 70
- 2022-01-02 11:59:45,134 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.485296 Loss2 0.946651
- 2022-01-02 11:59:56,308 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.425475, best_loss=0.425634
- 2022-01-02 11:59:56,331 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:00:02,577 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.418157, best_loss=0.422371
- 2022-01-02 12:00:02,598 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:00:02,598 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.37050247192383s
- 2022-01-02 12:00:02,598 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:00:02,599 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:00:02,599 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 71
- 2022-01-02 12:00:28,849 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.452926 Loss2 0.904556
- 2022-01-02 12:00:39,879 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.421749, best_loss=0.425475
- 2022-01-02 12:00:39,901 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:00:46,104 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.414447, best_loss=0.418157
- 2022-01-02 12:00:46,142 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:00:46,143 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.54450225830078s
- 2022-01-02 12:00:46,144 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:00:46,144 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:00:46,144 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 72
- 2022-01-02 12:01:12,145 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.517907 Loss2 1.007930
- 2022-01-02 12:01:23,257 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.419475, best_loss=0.421749
- 2022-01-02 12:01:23,277 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:01:29,535 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.410687, best_loss=0.414447
- 2022-01-02 12:01:29,555 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:01:29,556 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.41149687767029s
- 2022-01-02 12:01:29,556 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:01:29,556 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:01:29,556 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 73
- 2022-01-02 12:01:56,573 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.441727 Loss2 0.922065
- 2022-01-02 12:02:08,009 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.417158, best_loss=0.419475
- 2022-01-02 12:02:08,032 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:02:14,425 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.407249, best_loss=0.410687
- 2022-01-02 12:02:14,445 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:02:14,446 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.8895001411438s
- 2022-01-02 12:02:14,446 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:02:14,446 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:02:14,446 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 74
- 2022-01-02 12:02:41,267 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.461381 Loss2 0.942379
- 2022-01-02 12:02:52,555 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.414321, best_loss=0.417158
- 2022-01-02 12:02:52,577 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:02:58,837 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.404293, best_loss=0.407249
- 2022-01-02 12:02:58,859 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:02:58,860 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.41449975967407s
- 2022-01-02 12:02:58,860 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:02:58,860 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:02:58,860 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 75
- 2022-01-02 12:03:25,011 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.458306 Loss2 0.926489
- 2022-01-02 12:03:36,267 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.413483, best_loss=0.414321
- 2022-01-02 12:03:36,289 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:03:42,624 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.401522, best_loss=0.404293
- 2022-01-02 12:03:42,645 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:03:42,646 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.78499913215637s
- 2022-01-02 12:03:42,646 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:03:42,646 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:03:42,646 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 76
- 2022-01-02 12:04:08,930 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.470868 Loss2 0.961479
- 2022-01-02 12:04:20,251 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.412366, best_loss=0.413483
- 2022-01-02 12:04:20,276 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:04:26,516 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.398791, best_loss=0.401522
- 2022-01-02 12:04:26,537 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:04:26,537 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.8910014629364s
- 2022-01-02 12:04:26,537 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:04:26,537 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:04:26,538 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 77
- 2022-01-02 12:04:52,349 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.499057 Loss2 0.920274
- 2022-01-02 12:05:03,539 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.410942, best_loss=0.412366
- 2022-01-02 12:05:03,560 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:05:09,835 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.396410, best_loss=0.398791
- 2022-01-02 12:05:09,855 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:05:09,856 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.318002223968506s
- 2022-01-02 12:05:09,856 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:05:09,856 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:05:09,856 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 78
- 2022-01-02 12:05:36,537 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.471558 Loss2 1.014404
- 2022-01-02 12:05:47,752 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.406724, best_loss=0.410942
- 2022-01-02 12:05:47,773 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:05:53,969 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.394245, best_loss=0.396410
- 2022-01-02 12:05:53,991 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:05:53,991 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.13499855995178s
- 2022-01-02 12:05:53,991 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:05:53,991 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:05:53,991 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 79
- 2022-01-02 12:06:18,990 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.481963 Loss2 1.043947
- 2022-01-02 12:06:30,302 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.405333, best_loss=0.406724
- 2022-01-02 12:06:30,322 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:06:36,452 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.391960, best_loss=0.394245
- 2022-01-02 12:06:36,473 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:06:36,474 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.482001066207886s
- 2022-01-02 12:06:36,474 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:06:36,474 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:06:36,474 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 80
- 2022-01-02 12:07:02,521 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.469649 Loss2 1.001186
- 2022-01-02 12:07:14,133 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.404755, best_loss=0.405333
- 2022-01-02 12:07:14,154 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:07:20,345 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.389886, best_loss=0.391960
- 2022-01-02 12:07:20,376 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:07:20,377 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.90300130844116s
- 2022-01-02 12:07:20,377 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:07:20,377 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:07:20,377 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 81
- 2022-01-02 12:07:46,708 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.446272 Loss2 0.909597
- 2022-01-02 12:07:58,094 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=25.816871, best_loss=0.404755
- 2022-01-02 12:08:04,353 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.391349, best_loss=0.389886
- 2022-01-02 12:08:04,354 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.97699809074402s
- 2022-01-02 12:08:04,354 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:08:04,354 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:08:04,354 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 82
- 2022-01-02 12:08:28,908 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 25.492489 Loss2 0.963344
- 2022-01-02 12:08:40,473 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.735315, best_loss=0.404755
- 2022-01-02 12:08:46,685 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.322182, best_loss=0.389886
- 2022-01-02 12:08:46,685 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.33150029182434s
- 2022-01-02 12:08:46,685 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:08:46,685 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:08:46,685 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 83
- 2022-01-02 12:09:11,188 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.754366 Loss2 0.396477
- 2022-01-02 12:09:22,402 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.856204, best_loss=0.404755
- 2022-01-02 12:09:28,569 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.935381, best_loss=0.389886
- 2022-01-02 12:09:28,570 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.88450026512146s
- 2022-01-02 12:09:28,570 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:09:28,570 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:09:28,570 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 84
- 2022-01-02 12:09:53,638 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.901772 Loss2 0.431963
- 2022-01-02 12:10:04,918 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.545548, best_loss=0.404755
- 2022-01-02 12:10:11,174 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.226628, best_loss=0.389886
- 2022-01-02 12:10:11,175 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.60450005531311s
- 2022-01-02 12:10:11,175 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:10:11,175 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:10:11,175 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 85
- 2022-01-02 12:10:37,464 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.584403 Loss2 0.702319
- 2022-01-02 12:10:48,691 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.495633, best_loss=0.404755
- 2022-01-02 12:10:55,197 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.012815, best_loss=0.389886
- 2022-01-02 12:10:55,198 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.023502349853516s
- 2022-01-02 12:10:55,198 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:10:55,199 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:10:55,199 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 86
- 2022-01-02 12:11:21,684 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.544885 Loss2 0.833136
- 2022-01-02 12:11:33,073 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.459222, best_loss=0.404755
- 2022-01-02 12:11:39,413 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.799646, best_loss=0.389886
- 2022-01-02 12:11:39,414 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.21500110626221s
- 2022-01-02 12:11:39,414 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:11:39,414 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:11:39,414 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 87
- 2022-01-02 12:12:05,590 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.502896 Loss2 0.809376
- 2022-01-02 12:12:17,479 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.438773, best_loss=0.404755
- 2022-01-02 12:12:23,648 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.615220, best_loss=0.389886
- 2022-01-02 12:12:23,649 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.23500084877014s
- 2022-01-02 12:12:23,649 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:12:23,649 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:12:23,649 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 88
- 2022-01-02 12:12:50,849 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.521152 Loss2 0.887553
- 2022-01-02 12:13:02,252 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.423871, best_loss=0.404755
- 2022-01-02 12:13:08,694 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.539871, best_loss=0.389886
- 2022-01-02 12:13:08,694 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.04499959945679s
- 2022-01-02 12:13:08,694 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:13:08,694 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:13:08,694 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 89
- 2022-01-02 12:13:35,907 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.427913 Loss2 0.797816
- 2022-01-02 12:13:47,428 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.415364, best_loss=0.404755
- 2022-01-02 12:13:53,796 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.496228, best_loss=0.389886
- 2022-01-02 12:13:53,796 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.10199975967407s
- 2022-01-02 12:13:53,797 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:13:53,797 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:13:53,797 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 90
- 2022-01-02 12:14:15,248 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.440041 Loss2 0.939700
- 2022-01-02 12:14:26,682 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.409845, best_loss=0.404755
- 2022-01-02 12:14:32,972 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.464401, best_loss=0.389886
- 2022-01-02 12:14:32,973 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 39.17599940299988s
- 2022-01-02 12:14:32,973 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:14:32,973 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:14:32,973 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 91
- 2022-01-02 12:15:01,029 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.452272 Loss2 0.949704
- 2022-01-02 12:15:12,480 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.406145, best_loss=0.404755
- 2022-01-02 12:15:18,993 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.440512, best_loss=0.389886
- 2022-01-02 12:15:18,994 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.02049994468689s
- 2022-01-02 12:15:18,994 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:15:18,994 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:15:18,994 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 92
- 2022-01-02 12:15:44,364 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.439451 Loss2 0.921744
- 2022-01-02 12:15:55,218 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.401105, best_loss=0.404755
- 2022-01-02 12:15:55,240 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:16:01,036 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.422739, best_loss=0.389886
- 2022-01-02 12:16:01,037 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.042500257492065s
- 2022-01-02 12:16:01,037 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:16:01,037 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:16:01,037 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 93
- 2022-01-02 12:16:21,999 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.415890 Loss2 1.055966
- 2022-01-02 12:16:32,594 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.399926, best_loss=0.401105
- 2022-01-02 12:16:32,614 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:16:38,382 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.410135, best_loss=0.389886
- 2022-01-02 12:16:38,382 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 37.34450030326843s
- 2022-01-02 12:16:38,382 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:16:38,382 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:16:38,382 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 94
- 2022-01-02 12:17:01,318 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.413694 Loss2 0.952202
- 2022-01-02 12:17:12,695 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.397367, best_loss=0.399926
- 2022-01-02 12:17:12,716 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:17:19,207 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.401295, best_loss=0.389886
- 2022-01-02 12:17:19,207 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.8250048160553s
- 2022-01-02 12:17:19,207 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:17:19,208 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:17:19,208 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 95
- 2022-01-02 12:17:47,031 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.414784 Loss2 0.933565
- 2022-01-02 12:17:58,353 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.393961, best_loss=0.397367
- 2022-01-02 12:17:58,374 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:18:04,612 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.394681, best_loss=0.389886
- 2022-01-02 12:18:04,613 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.40499520301819s
- 2022-01-02 12:18:04,613 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:18:04,613 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:18:04,613 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 96
- 2022-01-02 12:18:30,415 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.433314 Loss2 1.100310
- 2022-01-02 12:18:41,571 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.397091, best_loss=0.393961
- 2022-01-02 12:18:47,779 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.389734, best_loss=0.389886
- 2022-01-02 12:18:47,807 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:18:47,808 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.19500374794006s
- 2022-01-02 12:18:47,808 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:18:47,808 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:18:47,808 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 97
- 2022-01-02 12:19:14,501 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.409262 Loss2 0.880638
- 2022-01-02 12:19:25,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.391437, best_loss=0.393961
- 2022-01-02 12:19:25,719 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:19:32,118 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.385980, best_loss=0.389734
- 2022-01-02 12:19:32,155 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:19:32,155 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.34649872779846s
- 2022-01-02 12:19:32,155 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:19:32,156 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:19:32,156 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 98
- 2022-01-02 12:19:59,337 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.405878 Loss2 0.931408
- 2022-01-02 12:20:10,583 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.390590, best_loss=0.391437
- 2022-01-02 12:20:10,605 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:20:16,824 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.382741, best_loss=0.385980
- 2022-01-02 12:20:16,845 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:20:16,846 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.68999981880188s
- 2022-01-02 12:20:16,846 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:20:16,846 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:20:16,846 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 99
- 2022-01-02 12:20:42,891 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.374925 Loss2 0.935243
- 2022-01-02 12:20:53,944 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.390216, best_loss=0.390590
- 2022-01-02 12:20:53,965 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:21:00,296 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.380246, best_loss=0.382741
- 2022-01-02 12:21:00,316 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:21:00,317 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.470499753952026s
- 2022-01-02 12:21:00,317 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:21:00,317 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:21:00,317 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 100
- 2022-01-02 12:21:22,495 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.428179 Loss2 1.011791
- 2022-01-02 12:21:32,900 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.386836, best_loss=0.390216
- 2022-01-02 12:21:32,919 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:21:38,702 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.377866, best_loss=0.380246
- 2022-01-02 12:21:38,722 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:21:38,722 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.40500020980835s
- 2022-01-02 12:21:38,722 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:21:38,722 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:21:38,722 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 101
- 2022-01-02 12:21:57,606 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.404650 Loss2 1.092160
- 2022-01-02 12:22:08,387 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.386472, best_loss=0.386836
- 2022-01-02 12:22:08,405 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:22:14,082 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.376122, best_loss=0.377866
- 2022-01-02 12:22:14,101 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:22:14,102 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.37949872016907s
- 2022-01-02 12:22:14,102 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:22:14,102 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:22:14,102 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 102
- 2022-01-02 12:22:33,087 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.383237 Loss2 1.146060
- 2022-01-02 12:22:43,662 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.384312, best_loss=0.386472
- 2022-01-02 12:22:43,684 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:22:49,316 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.374207, best_loss=0.376122
- 2022-01-02 12:22:49,335 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:22:49,335 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.23299789428711s
- 2022-01-02 12:22:49,335 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:22:49,335 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:22:49,335 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 103
- 2022-01-02 12:23:08,708 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.399344 Loss2 1.074381
- 2022-01-02 12:23:19,678 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.382825, best_loss=0.384312
- 2022-01-02 12:23:19,697 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:23:25,302 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.372201, best_loss=0.374207
- 2022-01-02 12:23:25,322 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:23:25,322 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.98704695701599s
- 2022-01-02 12:23:25,322 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:23:25,322 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:23:25,322 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 104
- 2022-01-02 12:23:43,156 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.430716 Loss2 1.161051
- 2022-01-02 12:23:53,216 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.382424, best_loss=0.382825
- 2022-01-02 12:23:53,234 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:23:58,719 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.370485, best_loss=0.372201
- 2022-01-02 12:23:58,737 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:23:58,738 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.41519737243652s
- 2022-01-02 12:23:58,738 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:23:58,738 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:23:58,738 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 105
- 2022-01-02 12:24:16,086 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.420052 Loss2 1.121072
- 2022-01-02 12:24:26,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.379346, best_loss=0.382424
- 2022-01-02 12:24:26,295 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:24:31,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.368953, best_loss=0.370485
- 2022-01-02 12:24:31,859 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:24:31,860 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.12150168418884s
- 2022-01-02 12:24:31,860 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:24:31,860 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:24:31,860 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 106
- 2022-01-02 12:24:49,239 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.383943 Loss2 1.096317
- 2022-01-02 12:24:59,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.378208, best_loss=0.379346
- 2022-01-02 12:24:59,718 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:25:05,429 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.367212, best_loss=0.368953
- 2022-01-02 12:25:05,453 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:25:05,453 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.593501806259155s
- 2022-01-02 12:25:05,453 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:25:05,453 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:25:05,453 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 107
- 2022-01-02 12:25:25,169 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.390807 Loss2 1.099657
- 2022-01-02 12:25:38,466 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.379881, best_loss=0.378208
- 2022-01-02 12:25:44,160 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.365604, best_loss=0.367212
- 2022-01-02 12:25:44,180 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:25:44,181 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.72749662399292s
- 2022-01-02 12:25:44,181 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:25:44,181 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:25:44,181 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 108
- 2022-01-02 12:26:02,585 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.418048 Loss2 0.993699
- 2022-01-02 12:26:13,243 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.377503, best_loss=0.378208
- 2022-01-02 12:26:13,262 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:26:18,910 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.364020, best_loss=0.365604
- 2022-01-02 12:26:18,930 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:26:18,930 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.74950098991394s
- 2022-01-02 12:26:18,930 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:26:18,930 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:26:18,930 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 109
- 2022-01-02 12:26:37,774 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.408606 Loss2 1.120859
- 2022-01-02 12:26:48,602 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.375393, best_loss=0.377503
- 2022-01-02 12:26:48,621 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:26:54,271 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.362414, best_loss=0.364020
- 2022-01-02 12:26:54,291 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:26:54,292 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.36099863052368s
- 2022-01-02 12:26:54,292 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:26:54,292 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:26:54,292 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 110
- 2022-01-02 12:27:12,469 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.388473 Loss2 1.151531
- 2022-01-02 12:27:21,935 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.373047, best_loss=0.375393
- 2022-01-02 12:27:21,953 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:27:27,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.360936, best_loss=0.362414
- 2022-01-02 12:27:27,353 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:27:27,354 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.06200122833252s
- 2022-01-02 12:27:27,354 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:27:27,354 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:27:27,354 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 111
- 2022-01-02 12:27:43,661 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.408866 Loss2 1.107291
- 2022-01-02 12:27:53,160 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.372621, best_loss=0.373047
- 2022-01-02 12:27:53,183 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:27:58,705 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.359229, best_loss=0.360936
- 2022-01-02 12:27:58,735 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:27:58,736 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.38178253173828s
- 2022-01-02 12:27:58,736 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:27:58,736 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:27:58,736 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 112
- 2022-01-02 12:28:17,936 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.416820 Loss2 1.190399
- 2022-01-02 12:28:28,673 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.372402, best_loss=0.372621
- 2022-01-02 12:28:28,693 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:28:34,239 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.357792, best_loss=0.359229
- 2022-01-02 12:28:34,259 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:28:34,259 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.52248215675354s
- 2022-01-02 12:28:34,259 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:28:34,259 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:28:34,259 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 113
- 2022-01-02 12:28:53,377 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.402083 Loss2 1.380277
- 2022-01-02 12:29:03,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.369886, best_loss=0.372402
- 2022-01-02 12:29:03,593 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:29:09,172 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.356859, best_loss=0.357792
- 2022-01-02 12:29:09,203 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:29:09,203 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.94399952888489s
- 2022-01-02 12:29:09,203 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:29:09,204 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:29:09,204 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 114
- 2022-01-02 12:29:28,180 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.392597 Loss2 1.125858
- 2022-01-02 12:29:37,700 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.369183, best_loss=0.369886
- 2022-01-02 12:29:37,727 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:29:43,084 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.355480, best_loss=0.356859
- 2022-01-02 12:29:43,110 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:29:43,111 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 33.90676498413086s
- 2022-01-02 12:29:43,111 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:29:43,111 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:29:43,111 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 115
- 2022-01-02 12:29:59,220 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.406320 Loss2 1.128233
- 2022-01-02 12:30:08,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.371176, best_loss=0.369183
- 2022-01-02 12:30:14,098 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.354317, best_loss=0.355480
- 2022-01-02 12:30:14,118 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:30:14,118 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.00745701789856s
- 2022-01-02 12:30:14,118 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:30:14,118 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:30:14,118 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 116
- 2022-01-02 12:30:37,656 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.417756 Loss2 1.131386
- 2022-01-02 12:30:48,795 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.368226, best_loss=0.369183
- 2022-01-02 12:30:48,818 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:30:54,930 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.353003, best_loss=0.354317
- 2022-01-02 12:30:54,953 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:30:54,953 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.834999561309814s
- 2022-01-02 12:30:54,954 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:30:54,954 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:30:54,954 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 117
- 2022-01-02 12:31:19,387 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.428083 Loss2 1.221987
- 2022-01-02 12:31:29,904 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.368911, best_loss=0.368226
- 2022-01-02 12:31:35,936 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.352187, best_loss=0.353003
- 2022-01-02 12:31:35,971 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:31:35,972 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.01800036430359s
- 2022-01-02 12:31:35,972 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:31:35,972 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:31:35,972 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 118
- 2022-01-02 12:32:01,509 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.387710 Loss2 1.028822
- 2022-01-02 12:32:12,544 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.366213, best_loss=0.368226
- 2022-01-02 12:32:12,566 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:32:18,773 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.351191, best_loss=0.352187
- 2022-01-02 12:32:18,795 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:32:18,796 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.823498010635376s
- 2022-01-02 12:32:18,796 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:32:18,796 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:32:18,796 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 119
- 2022-01-02 12:32:45,701 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.399346 Loss2 1.128035
- 2022-01-02 12:32:56,729 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.364953, best_loss=0.366213
- 2022-01-02 12:32:56,752 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:33:02,938 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.350226, best_loss=0.351191
- 2022-01-02 12:33:02,960 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:33:02,961 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.16449952125549s
- 2022-01-02 12:33:02,961 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:33:02,961 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:33:02,961 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 120
- 2022-01-02 12:33:28,855 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.364242 Loss2 1.137312
- 2022-01-02 12:33:39,713 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.365315, best_loss=0.364953
- 2022-01-02 12:33:45,874 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.349042, best_loss=0.350226
- 2022-01-02 12:33:45,896 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:33:45,897 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.93600010871887s
- 2022-01-02 12:33:45,897 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:33:45,897 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:33:45,897 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 121
- 2022-01-02 12:34:11,547 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.361429 Loss2 1.232392
- 2022-01-02 12:34:22,479 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.362729, best_loss=0.364953
- 2022-01-02 12:34:22,498 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:34:28,603 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.347930, best_loss=0.349042
- 2022-01-02 12:34:28,623 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:34:28,624 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.72649931907654s
- 2022-01-02 12:34:28,624 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:34:28,624 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:34:28,624 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 122
- 2022-01-02 12:34:55,115 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.402400 Loss2 1.129746
- 2022-01-02 12:35:05,856 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.362481, best_loss=0.362729
- 2022-01-02 12:35:05,878 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:35:12,014 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.346903, best_loss=0.347930
- 2022-01-02 12:35:12,035 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:35:12,035 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.410998582839966s
- 2022-01-02 12:35:12,035 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:35:12,035 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:35:12,035 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 123
- 2022-01-02 12:35:37,026 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.385660 Loss2 1.201617
- 2022-01-02 12:35:47,955 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.362522, best_loss=0.362481
- 2022-01-02 12:35:54,050 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.345733, best_loss=0.346903
- 2022-01-02 12:35:54,071 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:35:54,071 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.03600096702576s
- 2022-01-02 12:35:54,071 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:35:54,071 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:35:54,071 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 124
- 2022-01-02 12:36:19,572 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.349597 Loss2 1.043433
- 2022-01-02 12:36:30,350 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.360426, best_loss=0.362481
- 2022-01-02 12:36:30,370 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:36:36,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.344653, best_loss=0.345733
- 2022-01-02 12:36:36,487 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:36:36,488 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.41650056838989s
- 2022-01-02 12:36:36,488 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:36:36,488 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:36:36,488 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 125
- 2022-01-02 12:37:01,801 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.389900 Loss2 1.115988
- 2022-01-02 12:37:12,978 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.360263, best_loss=0.360426
- 2022-01-02 12:37:13,010 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:37:19,228 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.343850, best_loss=0.344653
- 2022-01-02 12:37:19,250 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:37:19,250 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.76200079917908s
- 2022-01-02 12:37:19,250 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:37:19,250 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:37:19,250 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 126
- 2022-01-02 12:37:44,072 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.402491 Loss2 1.291981
- 2022-01-02 12:37:55,021 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.359936, best_loss=0.360263
- 2022-01-02 12:37:55,043 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:38:01,225 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.343271, best_loss=0.343850
- 2022-01-02 12:38:01,251 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:38:01,251 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.001001596450806s
- 2022-01-02 12:38:01,251 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:38:01,251 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:38:01,252 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 127
- 2022-01-02 12:38:27,230 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.379275 Loss2 1.222833
- 2022-01-02 12:38:38,179 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.359188, best_loss=0.359936
- 2022-01-02 12:38:38,200 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:38:44,339 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.342500, best_loss=0.343271
- 2022-01-02 12:38:44,360 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:38:44,360 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.10849857330322s
- 2022-01-02 12:38:44,360 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:38:44,360 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:38:44,361 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 128
- 2022-01-02 12:39:08,880 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.388656 Loss2 1.097161
- 2022-01-02 12:39:19,810 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.360236, best_loss=0.359188
- 2022-01-02 12:39:25,937 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.341591, best_loss=0.342500
- 2022-01-02 12:39:25,957 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:39:25,957 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.5964994430542s
- 2022-01-02 12:39:25,957 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:39:25,957 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:39:25,958 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 129
- 2022-01-02 12:39:51,958 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.363409 Loss2 1.092294
- 2022-01-02 12:40:03,207 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.357420, best_loss=0.359188
- 2022-01-02 12:40:03,230 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:40:09,339 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.340543, best_loss=0.341591
- 2022-01-02 12:40:09,359 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:40:09,360 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.402000188827515s
- 2022-01-02 12:40:09,360 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:40:09,360 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:40:09,360 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 130
- 2022-01-02 12:40:33,505 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.382438 Loss2 1.089756
- 2022-01-02 12:40:44,517 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.358315, best_loss=0.357420
- 2022-01-02 12:40:50,675 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339891, best_loss=0.340543
- 2022-01-02 12:40:50,695 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:40:50,696 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.335501194000244s
- 2022-01-02 12:40:50,696 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:40:50,696 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:40:50,696 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 131
- 2022-01-02 12:41:15,962 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.374711 Loss2 0.956602
- 2022-01-02 12:41:26,764 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.356986, best_loss=0.357420
- 2022-01-02 12:41:26,784 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:41:32,908 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339112, best_loss=0.339891
- 2022-01-02 12:41:32,931 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:41:32,931 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.23500084877014s
- 2022-01-02 12:41:32,931 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:41:32,931 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:41:32,931 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 132
- 2022-01-02 12:41:59,275 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.361810 Loss2 1.196194
- 2022-01-02 12:42:10,243 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.355244, best_loss=0.356986
- 2022-01-02 12:42:10,265 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:42:16,354 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.338312, best_loss=0.339112
- 2022-01-02 12:42:16,374 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:42:16,374 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.4429976940155s
- 2022-01-02 12:42:16,375 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:42:16,375 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:42:16,375 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 133
- 2022-01-02 12:42:42,481 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367469 Loss2 1.225193
- 2022-01-02 12:42:53,291 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.355271, best_loss=0.355244
- 2022-01-02 12:42:59,317 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.337642, best_loss=0.338312
- 2022-01-02 12:42:59,337 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:42:59,337 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.96250081062317s
- 2022-01-02 12:42:59,337 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:42:59,337 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:42:59,337 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 134
- 2022-01-02 12:43:24,819 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.363656 Loss2 1.021771
- 2022-01-02 12:43:35,627 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.353027, best_loss=0.355244
- 2022-01-02 12:43:35,648 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:43:41,863 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336745, best_loss=0.337642
- 2022-01-02 12:43:41,884 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:43:41,885 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.54749846458435s
- 2022-01-02 12:43:41,885 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:43:41,885 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:43:41,885 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 135
- 2022-01-02 12:44:08,089 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.335034 Loss2 1.078884
- 2022-01-02 12:44:18,876 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.356891, best_loss=0.353027
- 2022-01-02 12:44:25,070 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336059, best_loss=0.336745
- 2022-01-02 12:44:25,091 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:44:25,092 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.20750141143799s
- 2022-01-02 12:44:25,092 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:44:25,092 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:44:25,092 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 136
- 2022-01-02 12:44:51,054 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.389375 Loss2 1.172229
- 2022-01-02 12:45:02,050 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.355670, best_loss=0.353027
- 2022-01-02 12:45:08,294 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.335389, best_loss=0.336059
- 2022-01-02 12:45:08,316 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:45:08,317 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.22449827194214s
- 2022-01-02 12:45:08,317 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:45:08,317 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:45:08,317 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 137
- 2022-01-02 12:45:34,702 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.369972 Loss2 1.116074
- 2022-01-02 12:45:45,923 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.354933, best_loss=0.353027
- 2022-01-02 12:45:52,305 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.334720, best_loss=0.335389
- 2022-01-02 12:45:52,326 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:45:52,327 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.01000165939331s
- 2022-01-02 12:45:52,327 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:45:52,327 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:45:52,327 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 138
- 2022-01-02 12:46:18,813 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.387296 Loss2 1.116063
- 2022-01-02 12:46:29,942 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.351289, best_loss=0.353027
- 2022-01-02 12:46:29,963 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:46:36,228 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333913, best_loss=0.334720
- 2022-01-02 12:46:36,250 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:46:36,251 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.92349720001221s
- 2022-01-02 12:46:36,251 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:46:36,251 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:46:36,251 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 139
- 2022-01-02 12:47:01,913 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.384463 Loss2 1.115510
- 2022-01-02 12:47:12,854 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.352792, best_loss=0.351289
- 2022-01-02 12:47:18,970 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333211, best_loss=0.333913
- 2022-01-02 12:47:18,991 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:47:18,992 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.740999937057495s
- 2022-01-02 12:47:18,992 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:47:18,992 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:47:18,992 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 140
- 2022-01-02 12:47:43,166 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.359295 Loss2 1.097524
- 2022-01-02 12:47:53,955 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.352161, best_loss=0.351289
- 2022-01-02 12:47:59,999 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332555, best_loss=0.333211
- 2022-01-02 12:48:00,021 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:48:00,022 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.02950072288513s
- 2022-01-02 12:48:00,022 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:48:00,022 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:48:00,022 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 141
- 2022-01-02 12:48:24,818 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.381749 Loss2 1.099508
- 2022-01-02 12:48:35,736 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.349473, best_loss=0.351289
- 2022-01-02 12:48:35,757 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:48:41,818 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331958, best_loss=0.332555
- 2022-01-02 12:48:41,838 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:48:41,838 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.81600022315979s
- 2022-01-02 12:48:41,838 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:48:41,838 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:48:41,839 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 142
- 2022-01-02 12:49:06,659 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.345983 Loss2 1.106644
- 2022-01-02 12:49:17,638 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.559923, best_loss=0.349473
- 2022-01-02 12:49:23,788 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331503, best_loss=0.331958
- 2022-01-02 12:49:23,809 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 12:49:23,810 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.97100234031677s
- 2022-01-02 12:49:23,810 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:49:23,810 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:49:23,810 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 143
- 2022-01-02 12:49:49,421 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.586432 Loss2 1.682095
- 2022-01-02 12:50:00,610 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.912656, best_loss=0.349473
- 2022-01-02 12:50:07,167 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.883612, best_loss=0.331503
- 2022-01-02 12:50:07,168 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.35750079154968s
- 2022-01-02 12:50:07,168 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:50:07,168 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:50:07,168 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 144
- 2022-01-02 12:50:31,826 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 3.898740 Loss2 2.540402
- 2022-01-02 12:50:42,984 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=2.158838, best_loss=0.349473
- 2022-01-02 12:50:49,211 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=3.154134, best_loss=0.331503
- 2022-01-02 12:50:49,211 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.043500661849976s
- 2022-01-02 12:50:49,211 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:50:49,211 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:50:49,212 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 145
- 2022-01-02 12:51:14,606 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 2.174484 Loss2 0.459508
- 2022-01-02 12:51:25,753 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.825839, best_loss=0.349473
- 2022-01-02 12:51:31,933 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.871387, best_loss=0.331503
- 2022-01-02 12:51:31,933 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.721500873565674s
- 2022-01-02 12:51:31,933 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:51:31,933 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:51:31,934 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 146
- 2022-01-02 12:51:58,850 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 1.896869 Loss2 0.423722
- 2022-01-02 12:52:10,222 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.673003, best_loss=0.349473
- 2022-01-02 12:52:16,336 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.303037, best_loss=0.331503
- 2022-01-02 12:52:16,336 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.40249800682068s
- 2022-01-02 12:52:16,336 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:52:16,336 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:52:16,336 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 147
- 2022-01-02 12:52:42,585 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.739877 Loss2 0.464351
- 2022-01-02 12:52:53,728 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.563685, best_loss=0.349473
- 2022-01-02 12:53:00,133 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.093459, best_loss=0.331503
- 2022-01-02 12:53:00,135 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.79750442504883s
- 2022-01-02 12:53:00,135 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:53:00,135 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:53:00,135 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 148
- 2022-01-02 12:53:27,128 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.631840 Loss2 0.625990
- 2022-01-02 12:53:38,324 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.500407, best_loss=0.349473
- 2022-01-02 12:53:44,750 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.831542, best_loss=0.331503
- 2022-01-02 12:53:44,750 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.615495920181274s
- 2022-01-02 12:53:44,750 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:53:44,750 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:53:44,751 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 149
- 2022-01-02 12:54:12,447 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.535132 Loss2 0.757940
- 2022-01-02 12:54:23,699 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.451260, best_loss=0.349473
- 2022-01-02 12:54:30,135 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.687909, best_loss=0.331503
- 2022-01-02 12:54:30,136 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.38550162315369s
- 2022-01-02 12:54:30,136 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:54:30,136 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:54:30,136 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 150
- 2022-01-02 12:54:54,678 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.511956 Loss2 0.846150
- 2022-01-02 12:55:05,718 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.420971, best_loss=0.349473
- 2022-01-02 12:55:12,069 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.591940, best_loss=0.331503
- 2022-01-02 12:55:12,069 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.933000326156616s
- 2022-01-02 12:55:12,069 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:55:12,069 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:55:12,069 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 151
- 2022-01-02 12:55:37,811 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.483879 Loss2 0.958939
- 2022-01-02 12:55:48,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.397379, best_loss=0.349473
- 2022-01-02 12:55:55,320 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.528600, best_loss=0.331503
- 2022-01-02 12:55:55,321 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.251001596450806s
- 2022-01-02 12:55:55,321 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:55:55,321 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:55:55,321 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 152
- 2022-01-02 12:56:23,037 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.432417 Loss2 1.049964
- 2022-01-02 12:56:34,173 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.379678, best_loss=0.349473
- 2022-01-02 12:56:40,537 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.482308, best_loss=0.331503
- 2022-01-02 12:56:40,537 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.21649789810181s
- 2022-01-02 12:56:40,537 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:56:40,537 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:56:40,537 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 153
- 2022-01-02 12:57:07,678 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.410375 Loss2 1.126130
- 2022-01-02 12:57:18,895 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.368768, best_loss=0.349473
- 2022-01-02 12:57:25,255 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.444540, best_loss=0.331503
- 2022-01-02 12:57:25,256 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.71800231933594s
- 2022-01-02 12:57:25,256 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:57:25,256 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:57:25,256 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 154
- 2022-01-02 12:57:51,915 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.407539 Loss2 1.087423
- 2022-01-02 12:58:03,100 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.365125, best_loss=0.349473
- 2022-01-02 12:58:09,490 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.414430, best_loss=0.331503
- 2022-01-02 12:58:09,491 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.234999895095825s
- 2022-01-02 12:58:09,491 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:58:09,491 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:58:09,491 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 155
- 2022-01-02 12:58:33,439 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.389842 Loss2 1.091109
- 2022-01-02 12:58:44,441 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.359181, best_loss=0.349473
- 2022-01-02 12:58:50,471 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.392193, best_loss=0.331503
- 2022-01-02 12:58:50,471 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.98001408576965s
- 2022-01-02 12:58:50,471 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:58:50,471 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:58:50,472 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 156
- 2022-01-02 12:59:16,622 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.374921 Loss2 0.993418
- 2022-01-02 12:59:27,614 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.355807, best_loss=0.349473
- 2022-01-02 12:59:33,981 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.375819, best_loss=0.331503
- 2022-01-02 12:59:33,982 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.50999593734741s
- 2022-01-02 12:59:33,982 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 12:59:33,982 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 12:59:33,982 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 157
- 2022-01-02 13:00:01,783 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.348332 Loss2 1.275270
- 2022-01-02 13:00:12,856 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.352835, best_loss=0.349473
- 2022-01-02 13:00:19,184 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.364445, best_loss=0.331503
- 2022-01-02 13:00:19,185 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.20250225067139s
- 2022-01-02 13:00:19,185 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:00:19,185 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:00:19,185 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 158
- 2022-01-02 13:00:43,911 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367514 Loss2 1.209537
- 2022-01-02 13:00:54,954 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.350228, best_loss=0.349473
- 2022-01-02 13:01:01,221 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.356087, best_loss=0.331503
- 2022-01-02 13:01:01,222 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.03749918937683s
- 2022-01-02 13:01:01,222 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:01:01,222 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:01:01,222 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 159
- 2022-01-02 13:01:27,698 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.376205 Loss2 1.110103
- 2022-01-02 13:01:38,768 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.349138, best_loss=0.349473
- 2022-01-02 13:01:38,788 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:01:45,209 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.350142, best_loss=0.331503
- 2022-01-02 13:01:45,209 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.987000703811646s
- 2022-01-02 13:01:45,209 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:01:45,209 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:01:45,210 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 160
- 2022-01-02 13:02:11,593 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367303 Loss2 1.159033
- 2022-01-02 13:02:22,702 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.347646, best_loss=0.349138
- 2022-01-02 13:02:22,725 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:02:28,972 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.345472, best_loss=0.331503
- 2022-01-02 13:02:28,973 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.76299977302551s
- 2022-01-02 13:02:28,973 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:02:28,973 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:02:28,973 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 161
- 2022-01-02 13:02:53,976 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.362149 Loss2 1.015610
- 2022-01-02 13:03:05,184 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.347363, best_loss=0.347646
- 2022-01-02 13:03:05,206 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:03:11,553 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.342180, best_loss=0.331503
- 2022-01-02 13:03:11,553 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.58000063896179s
- 2022-01-02 13:03:11,553 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:03:11,553 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:03:11,554 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 162
- 2022-01-02 13:03:35,758 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.393961 Loss2 1.143978
- 2022-01-02 13:03:46,976 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.347183, best_loss=0.347363
- 2022-01-02 13:03:46,998 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:03:53,080 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339547, best_loss=0.331503
- 2022-01-02 13:03:53,081 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.527501583099365s
- 2022-01-02 13:03:53,082 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:03:53,082 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:03:53,082 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 163
- 2022-01-02 13:04:16,387 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367303 Loss2 1.238262
- 2022-01-02 13:04:27,551 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.345121, best_loss=0.347183
- 2022-01-02 13:04:27,573 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:04:33,948 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.337488, best_loss=0.331503
- 2022-01-02 13:04:33,949 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.867501735687256s
- 2022-01-02 13:04:33,950 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:04:33,950 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:04:33,950 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 164
- 2022-01-02 13:05:00,959 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.350816 Loss2 1.045268
- 2022-01-02 13:05:11,485 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.344197, best_loss=0.345121
- 2022-01-02 13:05:11,508 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:05:17,492 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.335731, best_loss=0.331503
- 2022-01-02 13:05:17,492 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.54249858856201s
- 2022-01-02 13:05:17,492 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:05:17,493 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:05:17,493 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 165
- 2022-01-02 13:05:38,548 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.369916 Loss2 1.148781
- 2022-01-02 13:05:49,592 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.345175, best_loss=0.344197
- 2022-01-02 13:05:56,119 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.334341, best_loss=0.331503
- 2022-01-02 13:05:56,120 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.6270010471344s
- 2022-01-02 13:05:56,120 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:05:56,120 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:05:56,120 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 166
- 2022-01-02 13:06:23,125 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367146 Loss2 1.037274
- 2022-01-02 13:06:34,088 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.344428, best_loss=0.344197
- 2022-01-02 13:06:40,293 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333153, best_loss=0.331503
- 2022-01-02 13:06:40,293 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.17349910736084s
- 2022-01-02 13:06:40,293 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:06:40,293 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:06:40,293 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 167
- 2022-01-02 13:07:05,423 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.371341 Loss2 1.316910
- 2022-01-02 13:07:16,701 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.342579, best_loss=0.344197
- 2022-01-02 13:07:16,729 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:07:22,958 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332086, best_loss=0.331503
- 2022-01-02 13:07:22,959 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.66500186920166s
- 2022-01-02 13:07:22,959 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:07:22,959 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:07:22,959 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 168
- 2022-01-02 13:07:47,807 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.361419 Loss2 1.081683
- 2022-01-02 13:07:58,834 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.342127, best_loss=0.342579
- 2022-01-02 13:07:58,858 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:08:05,268 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331105, best_loss=0.331503
- 2022-01-02 13:08:05,290 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:08:05,290 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.33100080490112s
- 2022-01-02 13:08:05,290 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:08:05,290 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:08:05,290 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 169
- 2022-01-02 13:08:30,788 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.329107 Loss2 1.163322
- 2022-01-02 13:08:41,836 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.343747, best_loss=0.342127
- 2022-01-02 13:08:48,120 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.330311, best_loss=0.331105
- 2022-01-02 13:08:48,146 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:08:48,147 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.85700058937073s
- 2022-01-02 13:08:48,147 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:08:48,147 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:08:48,147 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 170
- 2022-01-02 13:09:12,834 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.352697 Loss2 1.243926
- 2022-01-02 13:09:23,544 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.341021, best_loss=0.342127
- 2022-01-02 13:09:23,564 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:09:29,841 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.329436, best_loss=0.330311
- 2022-01-02 13:09:29,863 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:09:29,864 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.71649718284607s
- 2022-01-02 13:09:29,864 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:09:29,864 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:09:29,864 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 171
- 2022-01-02 13:09:54,746 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.351570 Loss2 1.167596
- 2022-01-02 13:10:05,808 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.341484, best_loss=0.341021
- 2022-01-02 13:10:11,998 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328722, best_loss=0.329436
- 2022-01-02 13:10:12,029 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:10:12,029 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.16500186920166s
- 2022-01-02 13:10:12,030 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:10:12,030 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:10:12,030 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 172
- 2022-01-02 13:10:35,682 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.352782 Loss2 1.020077
- 2022-01-02 13:10:47,403 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.340525, best_loss=0.341021
- 2022-01-02 13:10:47,423 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:10:53,627 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328021, best_loss=0.328722
- 2022-01-02 13:10:53,663 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:10:53,664 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.63399791717529s
- 2022-01-02 13:10:53,664 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:10:53,664 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:10:53,664 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 173
- 2022-01-02 13:11:21,588 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.387272 Loss2 1.184579
- 2022-01-02 13:11:32,447 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.341032, best_loss=0.340525
- 2022-01-02 13:11:38,634 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327427, best_loss=0.328021
- 2022-01-02 13:11:38,658 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:11:38,659 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.99500107765198s
- 2022-01-02 13:11:38,659 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:11:38,659 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:11:38,659 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 174
- 2022-01-02 13:12:05,745 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.331294 Loss2 1.202387
- 2022-01-02 13:12:17,125 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.340551, best_loss=0.340525
- 2022-01-02 13:12:23,398 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326912, best_loss=0.327427
- 2022-01-02 13:12:23,420 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:12:23,420 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.76099920272827s
- 2022-01-02 13:12:23,420 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:12:23,420 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:12:23,420 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 175
- 2022-01-02 13:12:47,106 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.363571 Loss2 1.113660
- 2022-01-02 13:12:58,195 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339408, best_loss=0.340525
- 2022-01-02 13:12:58,218 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:13:04,502 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326308, best_loss=0.326912
- 2022-01-02 13:13:04,524 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:13:04,525 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.104000091552734s
- 2022-01-02 13:13:04,525 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:13:04,525 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:13:04,525 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 176
- 2022-01-02 13:13:28,971 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.342974 Loss2 1.088443
- 2022-01-02 13:13:39,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339727, best_loss=0.339408
- 2022-01-02 13:13:45,965 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325775, best_loss=0.326308
- 2022-01-02 13:13:45,987 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:13:45,987 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.462498903274536s
- 2022-01-02 13:13:45,988 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:13:45,988 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:13:45,988 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 177
- 2022-01-02 13:14:12,206 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.360211 Loss2 1.045294
- 2022-01-02 13:14:23,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339944, best_loss=0.339408
- 2022-01-02 13:14:30,009 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325308, best_loss=0.325775
- 2022-01-02 13:14:30,033 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:14:30,034 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.046000957489014s
- 2022-01-02 13:14:30,034 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:14:30,034 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:14:30,034 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 178
- 2022-01-02 13:14:56,349 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.365696 Loss2 0.973819
- 2022-01-02 13:15:07,341 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.340014, best_loss=0.339408
- 2022-01-02 13:15:13,504 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.324921, best_loss=0.325308
- 2022-01-02 13:15:13,524 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:15:13,525 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.490501403808594s
- 2022-01-02 13:15:13,525 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:15:13,525 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:15:13,525 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 179
- 2022-01-02 13:15:38,888 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.331505 Loss2 1.102856
- 2022-01-02 13:15:49,870 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.338162, best_loss=0.339408
- 2022-01-02 13:15:49,891 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:15:56,104 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.324320, best_loss=0.324921
- 2022-01-02 13:15:56,137 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:15:56,138 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.61250901222229s
- 2022-01-02 13:15:56,138 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:15:56,138 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:15:56,138 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 180
- 2022-01-02 13:16:22,523 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.388209 Loss2 1.169455
- 2022-01-02 13:16:33,268 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.340672, best_loss=0.338162
- 2022-01-02 13:16:39,414 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323975, best_loss=0.324320
- 2022-01-02 13:16:39,434 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:16:39,435 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.296499490737915s
- 2022-01-02 13:16:39,435 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:16:39,435 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:16:39,435 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 181
- 2022-01-02 13:17:03,601 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.344069 Loss2 1.145392
- 2022-01-02 13:17:14,321 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.338108, best_loss=0.338162
- 2022-01-02 13:17:14,342 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:17:20,564 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323583, best_loss=0.323975
- 2022-01-02 13:17:20,587 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:17:20,587 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.152000188827515s
- 2022-01-02 13:17:20,587 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:17:20,587 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:17:20,588 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 182
- 2022-01-02 13:17:46,706 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.357868 Loss2 1.081745
- 2022-01-02 13:17:57,233 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339005, best_loss=0.338108
- 2022-01-02 13:18:03,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323094, best_loss=0.323583
- 2022-01-02 13:18:03,459 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:18:03,459 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.87150025367737s
- 2022-01-02 13:18:03,459 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:18:03,460 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:18:03,460 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 183
- 2022-01-02 13:18:28,710 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.323694 Loss2 1.051058
- 2022-01-02 13:18:39,393 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336950, best_loss=0.338108
- 2022-01-02 13:18:39,419 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:18:45,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.322627, best_loss=0.323094
- 2022-01-02 13:18:45,487 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:18:45,487 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.027498722076416s
- 2022-01-02 13:18:45,487 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:18:45,488 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:18:45,488 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 184
- 2022-01-02 13:19:09,504 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.336535 Loss2 1.012106
- 2022-01-02 13:19:20,278 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336338, best_loss=0.336950
- 2022-01-02 13:19:20,298 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:19:26,462 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.322224, best_loss=0.322627
- 2022-01-02 13:19:26,483 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:19:26,483 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.99550151824951s
- 2022-01-02 13:19:26,483 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:19:26,483 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:19:26,483 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 185
- 2022-01-02 13:19:50,252 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.359408 Loss2 1.033518
- 2022-01-02 13:20:01,057 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.338195, best_loss=0.336338
- 2022-01-02 13:20:07,390 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321508, best_loss=0.322224
- 2022-01-02 13:20:07,410 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:20:07,411 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.92749857902527s
- 2022-01-02 13:20:07,411 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:20:07,411 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:20:07,411 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 186
- 2022-01-02 13:20:33,447 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.375537 Loss2 1.094789
- 2022-01-02 13:20:44,380 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336086, best_loss=0.336338
- 2022-01-02 13:20:44,401 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:20:50,615 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321037, best_loss=0.321508
- 2022-01-02 13:20:50,636 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:20:50,637 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.22550058364868s
- 2022-01-02 13:20:50,637 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:20:50,637 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:20:50,637 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 187
- 2022-01-02 13:21:16,467 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.366684 Loss2 1.297513
- 2022-01-02 13:21:27,254 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.337397, best_loss=0.336086
- 2022-01-02 13:21:33,411 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320528, best_loss=0.321037
- 2022-01-02 13:21:33,431 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:21:33,432 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.79500222206116s
- 2022-01-02 13:21:33,432 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:21:33,432 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:21:33,432 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 188
- 2022-01-02 13:21:54,686 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334358 Loss2 1.069906
- 2022-01-02 13:22:05,584 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.335657, best_loss=0.336086
- 2022-01-02 13:22:05,604 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:22:12,007 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320034, best_loss=0.320528
- 2022-01-02 13:22:12,028 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:22:12,028 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.59600019454956s
- 2022-01-02 13:22:12,028 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:22:12,028 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:22:12,029 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 189
- 2022-01-02 13:22:39,295 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.358009 Loss2 1.205002
- 2022-01-02 13:22:50,810 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.335767, best_loss=0.335657
- 2022-01-02 13:22:57,210 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319459, best_loss=0.320034
- 2022-01-02 13:22:57,230 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.202499866485596s
- 2022-01-02 13:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:22:57,231 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 190
- 2022-01-02 13:23:24,216 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.338816 Loss2 1.140345
- 2022-01-02 13:23:35,186 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336143, best_loss=0.335657
- 2022-01-02 13:23:41,295 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319005, best_loss=0.319459
- 2022-01-02 13:23:41,316 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:23:41,317 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.08549976348877s
- 2022-01-02 13:23:41,317 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:23:41,317 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:23:41,317 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 191
- 2022-01-02 13:24:06,829 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.329975 Loss2 1.133165
- 2022-01-02 13:24:17,823 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.337309, best_loss=0.335657
- 2022-01-02 13:24:24,258 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318614, best_loss=0.319005
- 2022-01-02 13:24:24,279 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:24:24,279 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.962499141693115s
- 2022-01-02 13:24:24,280 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:24:24,280 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:24:24,280 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 192
- 2022-01-02 13:24:50,732 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.340474 Loss2 1.131634
- 2022-01-02 13:25:02,149 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333087, best_loss=0.335657
- 2022-01-02 13:25:02,172 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:25:08,664 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318283, best_loss=0.318614
- 2022-01-02 13:25:08,686 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:25:08,686 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.40649890899658s
- 2022-01-02 13:25:08,686 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:25:08,686 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:25:08,686 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 193
- 2022-01-02 13:25:34,044 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.356703 Loss2 1.185976
- 2022-01-02 13:25:44,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.337207, best_loss=0.333087
- 2022-01-02 13:25:50,943 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.317997, best_loss=0.318283
- 2022-01-02 13:25:50,964 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:25:50,964 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.27800226211548s
- 2022-01-02 13:25:50,964 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:25:50,964 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:25:50,964 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 194
- 2022-01-02 13:26:16,515 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.337441 Loss2 1.006032
- 2022-01-02 13:26:27,525 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.334648, best_loss=0.333087
- 2022-01-02 13:26:33,727 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.317249, best_loss=0.317997
- 2022-01-02 13:26:33,747 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:26:33,747 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.782498598098755s
- 2022-01-02 13:26:33,747 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:26:33,747 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:26:33,747 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 195
- 2022-01-02 13:27:00,132 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.340844 Loss2 1.163966
- 2022-01-02 13:27:10,875 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336176, best_loss=0.333087
- 2022-01-02 13:27:17,131 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316806, best_loss=0.317249
- 2022-01-02 13:27:17,162 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:27:17,163 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.41550159454346s
- 2022-01-02 13:27:17,163 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:27:17,163 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:27:17,163 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 196
- 2022-01-02 13:27:42,741 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.350373 Loss2 1.119803
- 2022-01-02 13:27:53,950 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333502, best_loss=0.333087
- 2022-01-02 13:28:00,379 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316294, best_loss=0.316806
- 2022-01-02 13:28:00,400 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:28:00,401 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.23799967765808s
- 2022-01-02 13:28:00,401 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:28:00,401 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:28:00,401 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 197
- 2022-01-02 13:28:28,841 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.330481 Loss2 1.124112
- 2022-01-02 13:28:40,116 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332527, best_loss=0.333087
- 2022-01-02 13:28:40,139 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:28:46,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.315820, best_loss=0.316294
- 2022-01-02 13:28:46,581 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:28:46,582 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.18050026893616s
- 2022-01-02 13:28:46,582 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:28:46,582 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:28:46,582 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 198
- 2022-01-02 13:29:13,596 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.360575 Loss2 1.109368
- 2022-01-02 13:29:24,590 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332740, best_loss=0.332527
- 2022-01-02 13:29:30,741 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.315331, best_loss=0.315820
- 2022-01-02 13:29:30,762 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:29:30,763 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.180999517440796s
- 2022-01-02 13:29:30,763 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:29:30,763 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:29:30,763 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 199
- 2022-01-02 13:29:56,618 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.348962 Loss2 1.242000
- 2022-01-02 13:30:07,772 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332636, best_loss=0.332527
- 2022-01-02 13:30:14,015 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.315079, best_loss=0.315331
- 2022-01-02 13:30:14,039 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:30:14,040 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.276501178741455s
- 2022-01-02 13:30:14,040 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:30:14,040 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:30:14,040 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 200
- 2022-01-02 13:30:39,785 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.340983 Loss2 1.168801
- 2022-01-02 13:30:50,946 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332322, best_loss=0.332527
- 2022-01-02 13:30:50,969 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:30:57,284 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314892, best_loss=0.315079
- 2022-01-02 13:30:57,305 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:30:57,305 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.26550006866455s
- 2022-01-02 13:30:57,306 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:30:57,306 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:30:57,306 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 201
- 2022-01-02 13:31:25,728 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.364312 Loss2 1.160537
- 2022-01-02 13:31:37,278 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331714, best_loss=0.332322
- 2022-01-02 13:31:37,300 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:31:43,720 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314871, best_loss=0.314892
- 2022-01-02 13:31:43,742 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:31:43,743 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.43699932098389s
- 2022-01-02 13:31:43,743 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:31:43,743 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:31:43,743 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 202
- 2022-01-02 13:32:11,691 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.346083 Loss2 1.129238
- 2022-01-02 13:32:22,738 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333083, best_loss=0.331714
- 2022-01-02 13:32:29,274 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314486, best_loss=0.314871
- 2022-01-02 13:32:29,293 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:32:29,293 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.55049920082092s
- 2022-01-02 13:32:29,293 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:32:29,293 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:32:29,294 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 203
- 2022-01-02 13:32:51,487 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.319928 Loss2 1.157469
- 2022-01-02 13:33:01,875 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.330365, best_loss=0.331714
- 2022-01-02 13:33:01,909 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:33:07,799 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314155, best_loss=0.314486
- 2022-01-02 13:33:07,821 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:33:07,822 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 38.52823853492737s
- 2022-01-02 13:33:07,822 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:33:07,822 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:33:07,822 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 204
- 2022-01-02 13:33:27,483 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.327163 Loss2 1.131916
- 2022-01-02 13:33:37,847 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331017, best_loss=0.330365
- 2022-01-02 13:33:43,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313741, best_loss=0.314155
- 2022-01-02 13:33:43,755 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:33:43,755 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.93299913406372s
- 2022-01-02 13:33:43,755 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:33:43,755 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:33:43,755 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 205
- 2022-01-02 13:34:03,475 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.325491 Loss2 1.157637
- 2022-01-02 13:34:13,862 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.335911, best_loss=0.330365
- 2022-01-02 13:34:19,738 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313644, best_loss=0.313741
- 2022-01-02 13:34:19,758 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:34:19,759 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.0035035610199s
- 2022-01-02 13:34:19,759 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:34:19,759 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:34:19,759 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 206
- 2022-01-02 13:34:39,457 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.373242 Loss2 1.311620
- 2022-01-02 13:34:49,853 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332078, best_loss=0.330365
- 2022-01-02 13:34:55,742 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313253, best_loss=0.313644
- 2022-01-02 13:34:55,764 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:34:55,765 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.00599694252014s
- 2022-01-02 13:34:55,765 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:34:55,765 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:34:55,765 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 207
- 2022-01-02 13:35:15,044 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.337060 Loss2 1.103689
- 2022-01-02 13:35:25,245 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.329720, best_loss=0.330365
- 2022-01-02 13:35:25,264 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:35:31,146 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313316, best_loss=0.313253
- 2022-01-02 13:35:31,147 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.38254714012146s
- 2022-01-02 13:35:31,147 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:35:31,147 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:35:31,147 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 208
- 2022-01-02 13:35:50,259 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.330090 Loss2 1.057523
- 2022-01-02 13:36:00,637 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.329719, best_loss=0.329720
- 2022-01-02 13:36:00,658 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:36:06,427 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312795, best_loss=0.313253
- 2022-01-02 13:36:06,447 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:36:06,448 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.29964017868042s
- 2022-01-02 13:36:06,448 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:36:06,448 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:36:06,448 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 209
- 2022-01-02 13:36:25,625 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.339398 Loss2 1.085689
- 2022-01-02 13:36:35,817 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.330004, best_loss=0.329719
- 2022-01-02 13:36:41,615 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312389, best_loss=0.312795
- 2022-01-02 13:36:41,636 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:36:41,637 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.18872690200806s
- 2022-01-02 13:36:41,637 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:36:41,637 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:36:41,637 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 210
- 2022-01-02 13:37:00,610 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316179 Loss2 1.132140
- 2022-01-02 13:37:10,793 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328493, best_loss=0.329719
- 2022-01-02 13:37:10,827 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:37:16,558 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312256, best_loss=0.312389
- 2022-01-02 13:37:16,580 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:37:16,580 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.943501472473145s
- 2022-01-02 13:37:16,581 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:37:16,581 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:37:16,581 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 211
- 2022-01-02 13:37:35,431 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.367737 Loss2 1.214212
- 2022-01-02 13:37:45,601 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327846, best_loss=0.328493
- 2022-01-02 13:37:45,622 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:37:51,351 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311935, best_loss=0.312256
- 2022-01-02 13:37:51,372 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:37:51,373 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.792113304138184s
- 2022-01-02 13:37:51,373 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:37:51,373 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:37:51,373 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 212
- 2022-01-02 13:38:10,221 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.337731 Loss2 1.172017
- 2022-01-02 13:38:20,450 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328908, best_loss=0.327846
- 2022-01-02 13:38:26,258 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311670, best_loss=0.311935
- 2022-01-02 13:38:26,279 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:38:26,279 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.906170129776s
- 2022-01-02 13:38:26,279 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:38:26,279 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:38:26,279 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 213
- 2022-01-02 13:38:45,382 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.347210 Loss2 1.122694
- 2022-01-02 13:38:55,581 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.329854, best_loss=0.327846
- 2022-01-02 13:39:01,378 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311588, best_loss=0.311670
- 2022-01-02 13:39:01,398 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:39:01,399 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.11899971961975s
- 2022-01-02 13:39:01,399 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:39:01,399 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:39:01,399 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 214
- 2022-01-02 13:39:20,572 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.321844 Loss2 1.115152
- 2022-01-02 13:39:30,953 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328611, best_loss=0.327846
- 2022-01-02 13:39:36,743 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311247, best_loss=0.311588
- 2022-01-02 13:39:36,772 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:39:36,773 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.37384057044983s
- 2022-01-02 13:39:36,773 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:39:36,773 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:39:36,773 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 215
- 2022-01-02 13:39:55,609 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.319700 Loss2 1.059837
- 2022-01-02 13:40:05,766 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.331034, best_loss=0.327846
- 2022-01-02 13:40:11,554 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311053, best_loss=0.311247
- 2022-01-02 13:40:11,574 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:40:11,575 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.802000284194946s
- 2022-01-02 13:40:11,575 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:40:11,575 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:40:11,575 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 216
- 2022-01-02 13:40:30,552 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.333976 Loss2 1.162594
- 2022-01-02 13:40:40,744 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332521, best_loss=0.327846
- 2022-01-02 13:40:46,505 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310736, best_loss=0.311053
- 2022-01-02 13:40:46,527 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:40:46,527 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.952500104904175s
- 2022-01-02 13:40:46,528 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:40:46,528 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:40:46,528 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 217
- 2022-01-02 13:41:05,551 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.337777 Loss2 1.145805
- 2022-01-02 13:41:15,899 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328554, best_loss=0.327846
- 2022-01-02 13:41:21,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310430, best_loss=0.310736
- 2022-01-02 13:41:21,755 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:41:21,756 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.22800064086914s
- 2022-01-02 13:41:21,756 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:41:21,756 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:41:21,756 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 218
- 2022-01-02 13:41:40,565 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.342785 Loss2 1.223041
- 2022-01-02 13:41:50,743 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.328126, best_loss=0.327846
- 2022-01-02 13:41:56,534 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310240, best_loss=0.310430
- 2022-01-02 13:41:56,555 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:41:56,555 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.798980474472046s
- 2022-01-02 13:41:56,555 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:41:56,555 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:41:56,555 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 219
- 2022-01-02 13:42:15,526 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309579 Loss2 1.047794
- 2022-01-02 13:42:25,719 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326976, best_loss=0.327846
- 2022-01-02 13:42:25,741 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:42:31,475 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309946, best_loss=0.310240
- 2022-01-02 13:42:31,495 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:42:31,496 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 34.94057750701904s
- 2022-01-02 13:42:31,496 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:42:31,496 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:42:31,496 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 220
- 2022-01-02 13:42:50,548 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.371688 Loss2 1.242370
- 2022-01-02 13:43:00,899 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327245, best_loss=0.326976
- 2022-01-02 13:43:06,709 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309807, best_loss=0.309946
- 2022-01-02 13:43:06,730 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:43:06,730 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.234009981155396s
- 2022-01-02 13:43:06,730 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:43:06,730 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:43:06,730 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 221
- 2022-01-02 13:43:25,711 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334432 Loss2 1.125987
- 2022-01-02 13:43:35,901 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327265, best_loss=0.326976
- 2022-01-02 13:43:41,895 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309553, best_loss=0.309807
- 2022-01-02 13:43:41,916 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:43:41,916 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.185675382614136s
- 2022-01-02 13:43:41,916 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:43:41,916 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:43:41,916 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 222
- 2022-01-02 13:44:00,902 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.351967 Loss2 1.045937
- 2022-01-02 13:44:11,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327708, best_loss=0.326976
- 2022-01-02 13:44:17,275 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309300, best_loss=0.309553
- 2022-01-02 13:44:17,296 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:44:17,296 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.38008093833923s
- 2022-01-02 13:44:17,296 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:44:17,296 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:44:17,296 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 223
- 2022-01-02 13:44:36,519 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316044 Loss2 1.114023
- 2022-01-02 13:44:46,845 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326896, best_loss=0.326976
- 2022-01-02 13:44:46,865 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:44:53,012 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309224, best_loss=0.309300
- 2022-01-02 13:44:53,032 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:44:53,032 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 35.736000061035156s
- 2022-01-02 13:44:53,032 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:44:53,032 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:44:53,032 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 224
- 2022-01-02 13:45:12,650 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.351661 Loss2 1.187366
- 2022-01-02 13:45:23,302 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325266, best_loss=0.326896
- 2022-01-02 13:45:23,323 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:45:29,889 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308759, best_loss=0.309224
- 2022-01-02 13:45:29,910 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:45:29,911 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 36.87850284576416s
- 2022-01-02 13:45:29,911 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:45:29,911 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:45:29,911 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 225
- 2022-01-02 13:45:57,790 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.340139 Loss2 1.090499
- 2022-01-02 13:46:09,226 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325932, best_loss=0.325266
- 2022-01-02 13:46:15,397 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308617, best_loss=0.308759
- 2022-01-02 13:46:15,417 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:46:15,418 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.506996631622314s
- 2022-01-02 13:46:15,418 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:46:15,418 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:46:15,418 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 226
- 2022-01-02 13:46:40,628 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334140 Loss2 1.069031
- 2022-01-02 13:46:51,942 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326671, best_loss=0.325266
- 2022-01-02 13:46:58,222 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308636, best_loss=0.308617
- 2022-01-02 13:46:58,222 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.80399966239929s
- 2022-01-02 13:46:58,222 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:46:58,222 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:46:58,222 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 227
- 2022-01-02 13:47:25,777 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.348417 Loss2 1.130898
- 2022-01-02 13:47:37,253 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326077, best_loss=0.325266
- 2022-01-02 13:47:43,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308222, best_loss=0.308617
- 2022-01-02 13:47:43,758 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:47:43,758 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.53599953651428s
- 2022-01-02 13:47:43,758 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:47:43,758 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:47:43,758 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 228
- 2022-01-02 13:48:10,454 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.341466 Loss2 1.118499
- 2022-01-02 13:48:21,775 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325058, best_loss=0.325266
- 2022-01-02 13:48:21,797 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:48:27,968 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307978, best_loss=0.308222
- 2022-01-02 13:48:27,989 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:48:27,989 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.23050022125244s
- 2022-01-02 13:48:27,989 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:48:27,989 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:48:27,989 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 229
- 2022-01-02 13:48:54,006 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.336208 Loss2 1.177929
- 2022-01-02 13:49:05,143 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.324013, best_loss=0.325058
- 2022-01-02 13:49:05,177 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:49:11,443 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307702, best_loss=0.307978
- 2022-01-02 13:49:11,466 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:49:11,467 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.47749876976013s
- 2022-01-02 13:49:11,467 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:49:11,467 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:49:11,467 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 230
- 2022-01-02 13:49:37,809 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.347088 Loss2 1.094697
- 2022-01-02 13:49:49,270 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326686, best_loss=0.324013
- 2022-01-02 13:49:55,871 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307489, best_loss=0.307702
- 2022-01-02 13:49:55,894 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:49:55,894 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.42750024795532s
- 2022-01-02 13:49:55,894 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:49:55,894 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:49:55,894 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 231
- 2022-01-02 13:50:23,530 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.346253 Loss2 1.068502
- 2022-01-02 13:50:34,724 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326192, best_loss=0.324013
- 2022-01-02 13:50:41,148 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307597, best_loss=0.307489
- 2022-01-02 13:50:41,150 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 45.25549864768982s
- 2022-01-02 13:50:41,150 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:50:41,150 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:50:41,150 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 232
- 2022-01-02 13:51:08,395 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293198 Loss2 0.973669
- 2022-01-02 13:51:19,568 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326448, best_loss=0.324013
- 2022-01-02 13:51:25,928 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307343, best_loss=0.307489
- 2022-01-02 13:51:25,949 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:51:25,949 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.79900360107422s
- 2022-01-02 13:51:25,950 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:51:25,950 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:51:25,950 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 233
- 2022-01-02 13:51:53,380 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.331635 Loss2 1.059818
- 2022-01-02 13:52:04,350 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326388, best_loss=0.324013
- 2022-01-02 13:52:10,658 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307143, best_loss=0.307343
- 2022-01-02 13:52:10,679 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:52:10,680 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.72999668121338s
- 2022-01-02 13:52:10,680 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:52:10,680 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:52:10,680 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 234
- 2022-01-02 13:52:38,257 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.322871 Loss2 1.092277
- 2022-01-02 13:52:49,288 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.326762, best_loss=0.324013
- 2022-01-02 13:52:55,554 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306914, best_loss=0.307143
- 2022-01-02 13:52:55,576 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:52:55,576 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.89599800109863s
- 2022-01-02 13:52:55,576 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:52:55,576 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:52:55,576 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 235
- 2022-01-02 13:53:22,598 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.326188 Loss2 1.221569
- 2022-01-02 13:53:33,640 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323280, best_loss=0.324013
- 2022-01-02 13:53:33,663 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:53:40,058 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306744, best_loss=0.306914
- 2022-01-02 13:53:40,078 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:53:40,079 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.50250005722046s
- 2022-01-02 13:53:40,079 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:53:40,079 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:53:40,079 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 236
- 2022-01-02 13:54:07,003 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.335459 Loss2 1.125892
- 2022-01-02 13:54:18,228 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325073, best_loss=0.323280
- 2022-01-02 13:54:24,444 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306663, best_loss=0.306744
- 2022-01-02 13:54:24,465 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:54:24,466 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.386499643325806s
- 2022-01-02 13:54:24,466 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:54:24,466 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:54:24,466 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 237
- 2022-01-02 13:54:49,129 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.328211 Loss2 1.081201
- 2022-01-02 13:55:00,048 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327720, best_loss=0.323280
- 2022-01-02 13:55:06,268 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306557, best_loss=0.306663
- 2022-01-02 13:55:06,290 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:55:06,291 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.82500147819519s
- 2022-01-02 13:55:06,291 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:55:06,291 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:55:06,291 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 238
- 2022-01-02 13:55:32,777 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334993 Loss2 1.179361
- 2022-01-02 13:55:46,819 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325030, best_loss=0.323280
- 2022-01-02 13:55:52,934 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306482, best_loss=0.306557
- 2022-01-02 13:55:52,964 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:55:52,964 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.67300009727478s
- 2022-01-02 13:55:52,964 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:55:52,964 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:55:52,964 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 239
- 2022-01-02 13:56:14,831 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.328314 Loss2 1.158011
- 2022-01-02 13:56:27,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323058, best_loss=0.323280
- 2022-01-02 13:56:27,239 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:56:33,404 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305985, best_loss=0.306482
- 2022-01-02 13:56:33,426 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:56:33,426 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 40.46200156211853s
- 2022-01-02 13:56:33,426 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:56:33,427 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:56:33,427 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 240
- 2022-01-02 13:56:58,141 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.345420 Loss2 1.103630
- 2022-01-02 13:57:09,673 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321853, best_loss=0.323058
- 2022-01-02 13:57:09,696 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:57:15,870 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305914, best_loss=0.305985
- 2022-01-02 13:57:15,904 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:57:15,905 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.4784996509552s
- 2022-01-02 13:57:15,905 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:57:15,905 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:57:15,905 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 241
- 2022-01-02 13:57:40,597 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.300595 Loss2 0.995102
- 2022-01-02 13:57:52,272 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321607, best_loss=0.321853
- 2022-01-02 13:57:52,295 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:57:58,440 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305445, best_loss=0.305914
- 2022-01-02 13:57:58,463 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:57:58,464 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.55850076675415s
- 2022-01-02 13:57:58,464 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:57:58,464 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:57:58,464 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 242
- 2022-01-02 13:58:23,838 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.299990 Loss2 0.930237
- 2022-01-02 13:58:35,813 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321893, best_loss=0.321607
- 2022-01-02 13:58:42,552 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305204, best_loss=0.305445
- 2022-01-02 13:58:42,577 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:58:42,578 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 44.11400127410889s
- 2022-01-02 13:58:42,578 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:58:42,578 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:58:42,578 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 243
- 2022-01-02 13:59:12,336 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.338889 Loss2 1.194486
- 2022-01-02 13:59:24,701 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.324233, best_loss=0.321607
- 2022-01-02 13:59:31,356 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305165, best_loss=0.305204
- 2022-01-02 13:59:31,380 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 13:59:31,381 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.8025016784668s
- 2022-01-02 13:59:31,381 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 13:59:31,381 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 13:59:31,381 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 244
- 2022-01-02 14:00:04,031 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.332161 Loss2 1.058897
- 2022-01-02 14:00:17,075 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.333145, best_loss=0.321607
- 2022-01-02 14:00:23,881 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304819, best_loss=0.305165
- 2022-01-02 14:00:23,917 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:00:23,918 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.536999225616455s
- 2022-01-02 14:00:23,918 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:00:23,918 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:00:23,918 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 245
- 2022-01-02 14:00:56,948 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.351915 Loss2 1.136988
- 2022-01-02 14:01:08,783 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.325161, best_loss=0.321607
- 2022-01-02 14:01:15,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305299, best_loss=0.304819
- 2022-01-02 14:01:15,574 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.65549874305725s
- 2022-01-02 14:01:15,574 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:01:15,574 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:01:15,574 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 246
- 2022-01-02 14:01:48,793 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.333072 Loss2 1.199114
- 2022-01-02 14:02:00,755 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323117, best_loss=0.321607
- 2022-01-02 14:02:07,650 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305173, best_loss=0.304819
- 2022-01-02 14:02:07,651 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.0769989490509s
- 2022-01-02 14:02:07,651 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:02:07,651 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:02:07,651 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 247
- 2022-01-02 14:02:40,363 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.322516 Loss2 0.991715
- 2022-01-02 14:02:52,350 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.322833, best_loss=0.321607
- 2022-01-02 14:02:59,222 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304923, best_loss=0.304819
- 2022-01-02 14:02:59,223 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.571500301361084s
- 2022-01-02 14:02:59,223 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:02:59,223 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:02:59,223 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 248
- 2022-01-02 14:03:31,536 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.325949 Loss2 1.053505
- 2022-01-02 14:03:43,706 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.323071, best_loss=0.321607
- 2022-01-02 14:03:50,735 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304561, best_loss=0.304819
- 2022-01-02 14:03:50,762 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:03:50,762 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.539000034332275s
- 2022-01-02 14:03:50,762 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:03:50,762 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:03:50,762 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 249
- 2022-01-02 14:04:25,721 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.342286 Loss2 1.140229
- 2022-01-02 14:04:37,595 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320783, best_loss=0.321607
- 2022-01-02 14:04:37,622 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:04:44,449 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304334, best_loss=0.304561
- 2022-01-02 14:04:44,474 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:04:44,475 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.71249961853027s
- 2022-01-02 14:04:44,475 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:04:44,475 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:04:44,475 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 250
- 2022-01-02 14:05:18,090 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.320794 Loss2 1.081616
- 2022-01-02 14:05:29,870 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321674, best_loss=0.320783
- 2022-01-02 14:05:36,686 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303932, best_loss=0.304334
- 2022-01-02 14:05:36,711 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:05:36,712 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.23650288581848s
- 2022-01-02 14:05:36,712 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:05:36,712 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:05:36,712 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 251
- 2022-01-02 14:06:10,041 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.338846 Loss2 1.018966
- 2022-01-02 14:06:21,939 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320452, best_loss=0.320783
- 2022-01-02 14:06:21,974 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:06:28,819 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303671, best_loss=0.303932
- 2022-01-02 14:06:28,844 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:06:28,844 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.13249731063843s
- 2022-01-02 14:06:28,844 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:06:28,844 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:06:28,844 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 252
- 2022-01-02 14:07:02,145 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.299297 Loss2 0.990417
- 2022-01-02 14:07:14,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.322334, best_loss=0.320452
- 2022-01-02 14:07:21,244 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303531, best_loss=0.303671
- 2022-01-02 14:07:21,270 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:07:21,271 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.426499366760254s
- 2022-01-02 14:07:21,271 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:07:21,271 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:07:21,271 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 253
- 2022-01-02 14:07:55,640 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.317405 Loss2 1.128310
- 2022-01-02 14:08:07,708 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319370, best_loss=0.320452
- 2022-01-02 14:08:07,734 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:08:14,586 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303289, best_loss=0.303531
- 2022-01-02 14:08:14,610 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:08:14,611 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.34000015258789s
- 2022-01-02 14:08:14,611 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:08:14,611 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:08:14,611 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 254
- 2022-01-02 14:08:48,860 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.338204 Loss2 1.053288
- 2022-01-02 14:09:00,812 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.321278, best_loss=0.319370
- 2022-01-02 14:09:07,760 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303149, best_loss=0.303289
- 2022-01-02 14:09:07,784 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:09:07,785 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.173500299453735s
- 2022-01-02 14:09:07,785 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:09:07,785 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:09:07,785 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 255
- 2022-01-02 14:09:41,639 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.303530 Loss2 1.064668
- 2022-01-02 14:09:53,682 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320172, best_loss=0.319370
- 2022-01-02 14:10:00,759 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302912, best_loss=0.303149
- 2022-01-02 14:10:00,784 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:10:00,785 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.99949908256531s
- 2022-01-02 14:10:00,785 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:10:00,785 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:10:00,785 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 256
- 2022-01-02 14:10:32,249 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.318820 Loss2 1.090867
- 2022-01-02 14:10:44,207 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319454, best_loss=0.319370
- 2022-01-02 14:10:51,135 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302849, best_loss=0.302912
- 2022-01-02 14:10:51,183 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:10:51,184 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.398499488830566s
- 2022-01-02 14:10:51,184 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:10:51,184 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:10:51,184 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 257
- 2022-01-02 14:11:24,984 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.349224 Loss2 1.198258
- 2022-01-02 14:11:37,136 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318907, best_loss=0.319370
- 2022-01-02 14:11:37,181 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:11:44,188 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302725, best_loss=0.302849
- 2022-01-02 14:11:44,215 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:11:44,216 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.03200125694275s
- 2022-01-02 14:11:44,216 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:11:44,216 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:11:44,216 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 258
- 2022-01-02 14:12:19,219 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.320566 Loss2 1.097584
- 2022-01-02 14:12:31,360 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318721, best_loss=0.318907
- 2022-01-02 14:12:31,385 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:12:38,520 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302556, best_loss=0.302725
- 2022-01-02 14:12:38,546 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:12:38,547 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 54.331000328063965s
- 2022-01-02 14:12:38,547 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:12:38,547 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:12:38,547 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 259
- 2022-01-02 14:13:13,577 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.351550 Loss2 1.182734
- 2022-01-02 14:13:25,337 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319761, best_loss=0.318721
- 2022-01-02 14:13:32,413 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302416, best_loss=0.302556
- 2022-01-02 14:13:32,437 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:13:32,438 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.890499114990234s
- 2022-01-02 14:13:32,438 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:13:32,438 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:13:32,438 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 260
- 2022-01-02 14:14:03,856 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.305239 Loss2 1.091809
- 2022-01-02 14:14:16,029 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318237, best_loss=0.318721
- 2022-01-02 14:14:16,054 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:14:23,322 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302161, best_loss=0.302416
- 2022-01-02 14:14:23,347 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:14:23,348 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.90949892997742s
- 2022-01-02 14:14:23,348 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:14:23,348 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:14:23,348 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 261
- 2022-01-02 14:14:58,379 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.357557 Loss2 1.257487
- 2022-01-02 14:15:11,136 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318357, best_loss=0.318237
- 2022-01-02 14:15:18,684 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301933, best_loss=0.302161
- 2022-01-02 14:15:18,712 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:15:18,712 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.36400008201599s
- 2022-01-02 14:15:18,713 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:15:18,713 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:15:18,713 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 262
- 2022-01-02 14:15:54,988 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.343311 Loss2 1.191501
- 2022-01-02 14:16:07,074 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318846, best_loss=0.318237
- 2022-01-02 14:16:13,985 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301704, best_loss=0.301933
- 2022-01-02 14:16:14,008 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:16:14,008 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.29549860954285s
- 2022-01-02 14:16:14,009 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:16:14,009 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:16:14,009 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 263
- 2022-01-02 14:16:46,283 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.313325 Loss2 1.026010
- 2022-01-02 14:16:58,473 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319129, best_loss=0.318237
- 2022-01-02 14:17:05,521 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301710, best_loss=0.301704
- 2022-01-02 14:17:05,522 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.5130033493042s
- 2022-01-02 14:17:05,522 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:17:05,522 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:17:05,522 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 264
- 2022-01-02 14:17:41,858 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285104 Loss2 0.966642
- 2022-01-02 14:17:54,021 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318182, best_loss=0.318237
- 2022-01-02 14:17:54,047 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:18:01,164 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301584, best_loss=0.301704
- 2022-01-02 14:18:01,198 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:18:01,199 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.67699837684631s
- 2022-01-02 14:18:01,199 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:18:01,199 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:18:01,199 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 265
- 2022-01-02 14:18:36,257 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.359638 Loss2 1.178788
- 2022-01-02 14:18:48,328 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327401, best_loss=0.318182
- 2022-01-02 14:18:55,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301552, best_loss=0.301584
- 2022-01-02 14:18:55,763 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:18:55,764 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 54.56449913978577s
- 2022-01-02 14:18:55,764 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:18:55,764 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:18:55,764 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 266
- 2022-01-02 14:19:31,534 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.341464 Loss2 1.268581
- 2022-01-02 14:19:43,433 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319098, best_loss=0.318182
- 2022-01-02 14:19:50,771 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302023, best_loss=0.301552
- 2022-01-02 14:19:50,772 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.007999658584595s
- 2022-01-02 14:19:50,772 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:19:50,772 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:19:50,772 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 267
- 2022-01-02 14:20:23,768 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.314804 Loss2 1.134529
- 2022-01-02 14:20:35,759 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.317436, best_loss=0.318182
- 2022-01-02 14:20:35,792 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:20:42,202 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301765, best_loss=0.301552
- 2022-01-02 14:20:42,202 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.430500984191895s
- 2022-01-02 14:20:42,203 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:20:42,203 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:20:42,203 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 268
- 2022-01-02 14:21:15,204 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.312709 Loss2 1.036894
- 2022-01-02 14:21:27,165 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316687, best_loss=0.317436
- 2022-01-02 14:21:27,203 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:21:34,322 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301321, best_loss=0.301552
- 2022-01-02 14:21:34,348 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:21:34,349 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.14599847793579s
- 2022-01-02 14:21:34,349 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:21:34,349 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:21:34,349 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 269
- 2022-01-02 14:22:09,567 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.311670 Loss2 1.036940
- 2022-01-02 14:22:21,830 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=11.578168, best_loss=0.316687
- 2022-01-02 14:22:28,651 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301216, best_loss=0.301321
- 2022-01-02 14:22:28,675 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:22:28,677 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 54.32750201225281s
- 2022-01-02 14:22:28,677 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:22:28,677 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:22:28,677 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 270
- 2022-01-02 14:23:02,309 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 11.646763 Loss2 1.269060
- 2022-01-02 14:23:14,790 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.920944, best_loss=0.316687
- 2022-01-02 14:23:21,719 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.741479, best_loss=0.301216
- 2022-01-02 14:23:21,719 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.04199934005737s
- 2022-01-02 14:23:21,719 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:23:21,720 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:23:21,720 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 271
- 2022-01-02 14:23:58,249 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.945350 Loss2 0.510811
- 2022-01-02 14:24:10,166 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.674074, best_loss=0.316687
- 2022-01-02 14:24:16,831 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.032908, best_loss=0.301216
- 2022-01-02 14:24:16,831 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.11150121688843s
- 2022-01-02 14:24:16,831 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:24:16,831 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:24:16,831 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 272
- 2022-01-02 14:24:48,379 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.736535 Loss2 0.620746
- 2022-01-02 14:25:00,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.364157, best_loss=0.316687
- 2022-01-02 14:25:07,559 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=1.077346, best_loss=0.301216
- 2022-01-02 14:25:07,559 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.72799849510193s
- 2022-01-02 14:25:07,559 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:25:07,559 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:25:07,559 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 273
- 2022-01-02 14:25:42,295 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.382377 Loss2 1.227799
- 2022-01-02 14:25:53,938 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.339349, best_loss=0.316687
- 2022-01-02 14:26:00,874 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.721310, best_loss=0.301216
- 2022-01-02 14:26:00,875 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.315502643585205s
- 2022-01-02 14:26:00,875 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:26:00,875 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:26:00,875 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 274
- 2022-01-02 14:26:37,652 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.323638 Loss2 1.202863
- 2022-01-02 14:26:49,516 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.327072, best_loss=0.316687
- 2022-01-02 14:26:56,272 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.489813, best_loss=0.301216
- 2022-01-02 14:26:56,272 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.39699935913086s
- 2022-01-02 14:26:56,273 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:26:56,273 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:26:56,273 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 275
- 2022-01-02 14:27:27,669 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.306507 Loss2 1.133560
- 2022-01-02 14:27:39,790 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.322113, best_loss=0.316687
- 2022-01-02 14:27:46,393 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.398410, best_loss=0.301216
- 2022-01-02 14:27:46,394 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.121001958847046s
- 2022-01-02 14:27:46,394 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:27:46,394 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:27:46,394 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 276
- 2022-01-02 14:28:22,459 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.324794 Loss2 1.072932
- 2022-01-02 14:28:34,870 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.319247, best_loss=0.316687
- 2022-01-02 14:28:42,098 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.358899, best_loss=0.301216
- 2022-01-02 14:28:42,099 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.70449876785278s
- 2022-01-02 14:28:42,099 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:28:42,099 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:28:42,099 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 277
- 2022-01-02 14:29:14,664 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.332923 Loss2 1.118590
- 2022-01-02 14:29:26,287 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318122, best_loss=0.316687
- 2022-01-02 14:29:33,238 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.336044, best_loss=0.301216
- 2022-01-02 14:29:33,239 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.13949728012085s
- 2022-01-02 14:29:33,239 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:29:33,239 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:29:33,239 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 278
- 2022-01-02 14:30:07,592 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.336976 Loss2 1.094378
- 2022-01-02 14:30:20,201 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.317375, best_loss=0.316687
- 2022-01-02 14:30:27,204 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.324963, best_loss=0.301216
- 2022-01-02 14:30:27,205 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.964998722076416s
- 2022-01-02 14:30:27,205 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:30:27,205 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:30:27,205 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 279
- 2022-01-02 14:31:00,137 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.323697 Loss2 1.033040
- 2022-01-02 14:31:11,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316784, best_loss=0.316687
- 2022-01-02 14:31:18,993 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.318038, best_loss=0.301216
- 2022-01-02 14:31:18,993 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.7885000705719s
- 2022-01-02 14:31:18,993 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:31:18,993 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:31:18,993 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 280
- 2022-01-02 14:31:53,618 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334468 Loss2 1.208697
- 2022-01-02 14:32:05,636 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.315752, best_loss=0.316687
- 2022-01-02 14:32:05,676 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:32:12,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313341, best_loss=0.301216
- 2022-01-02 14:32:12,467 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.4735004901886s
- 2022-01-02 14:32:12,468 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:32:12,468 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:32:12,468 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 281
- 2022-01-02 14:32:45,750 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.346688 Loss2 1.151499
- 2022-01-02 14:32:57,829 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314565, best_loss=0.315752
- 2022-01-02 14:32:57,858 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:33:04,982 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310057, best_loss=0.301216
- 2022-01-02 14:33:04,983 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.51500058174133s
- 2022-01-02 14:33:04,983 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:33:04,983 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:33:04,983 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 282
- 2022-01-02 14:33:38,424 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.349588 Loss2 1.120011
- 2022-01-02 14:33:50,004 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.315191, best_loss=0.314565
- 2022-01-02 14:33:56,772 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307764, best_loss=0.301216
- 2022-01-02 14:33:56,773 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.7895028591156s
- 2022-01-02 14:33:56,773 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:33:56,773 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:33:56,773 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 283
- 2022-01-02 14:34:27,820 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.331804 Loss2 1.123317
- 2022-01-02 14:34:39,779 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314536, best_loss=0.314565
- 2022-01-02 14:34:39,806 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:34:46,975 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306152, best_loss=0.301216
- 2022-01-02 14:34:46,975 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.2020001411438s
- 2022-01-02 14:34:46,975 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:34:46,975 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:34:46,975 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 284
- 2022-01-02 14:35:20,385 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295818 Loss2 1.094625
- 2022-01-02 14:35:32,198 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313125, best_loss=0.314536
- 2022-01-02 14:35:32,224 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:35:39,092 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304970, best_loss=0.301216
- 2022-01-02 14:35:39,093 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.117499589920044s
- 2022-01-02 14:35:39,093 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:35:39,093 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:35:39,093 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 285
- 2022-01-02 14:36:04,701 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.332729 Loss2 1.059338
- 2022-01-02 14:36:15,509 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312978, best_loss=0.313125
- 2022-01-02 14:36:15,531 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:36:21,552 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304050, best_loss=0.301216
- 2022-01-02 14:36:21,552 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.459001541137695s
- 2022-01-02 14:36:21,553 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:36:21,553 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:36:21,553 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 286
- 2022-01-02 14:36:44,160 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.325894 Loss2 1.087375
- 2022-01-02 14:36:54,562 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312076, best_loss=0.312978
- 2022-01-02 14:36:54,590 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:37:00,708 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303262, best_loss=0.301216
- 2022-01-02 14:37:00,709 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 39.15600037574768s
- 2022-01-02 14:37:00,709 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:37:00,709 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:37:00,709 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 287
- 2022-01-02 14:37:24,400 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.336435 Loss2 1.196510
- 2022-01-02 14:37:35,809 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311595, best_loss=0.312076
- 2022-01-02 14:37:35,834 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:37:41,884 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302423, best_loss=0.301216
- 2022-01-02 14:37:41,885 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.17599964141846s
- 2022-01-02 14:37:41,885 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:37:41,885 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:37:41,885 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 288
- 2022-01-02 14:38:05,599 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298396 Loss2 1.063895
- 2022-01-02 14:38:16,836 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311508, best_loss=0.311595
- 2022-01-02 14:38:16,872 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:38:22,921 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301999, best_loss=0.301216
- 2022-01-02 14:38:22,922 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.03650116920471s
- 2022-01-02 14:38:22,922 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:38:22,922 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:38:22,922 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 289
- 2022-01-02 14:38:45,660 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.308401 Loss2 1.127482
- 2022-01-02 14:38:58,021 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311143, best_loss=0.311508
- 2022-01-02 14:38:58,056 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:39:04,133 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301557, best_loss=0.301216
- 2022-01-02 14:39:04,133 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 41.211498975753784s
- 2022-01-02 14:39:04,134 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:39:04,134 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:39:04,134 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 290
- 2022-01-02 14:39:34,852 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316685 Loss2 1.244471
- 2022-01-02 14:39:46,103 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312969, best_loss=0.311143
- 2022-01-02 14:39:52,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300935, best_loss=0.301216
- 2022-01-02 14:39:52,491 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:39:52,491 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.35749936103821s
- 2022-01-02 14:39:52,491 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:39:52,491 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:39:52,491 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 291
- 2022-01-02 14:40:17,048 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.346467 Loss2 1.150201
- 2022-01-02 14:40:28,488 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310716, best_loss=0.311143
- 2022-01-02 14:40:28,513 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:40:35,220 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300549, best_loss=0.300935
- 2022-01-02 14:40:35,249 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:40:35,250 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 42.75850176811218s
- 2022-01-02 14:40:35,250 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:40:35,250 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:40:35,250 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 292
- 2022-01-02 14:41:08,483 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309254 Loss2 1.081377
- 2022-01-02 14:41:20,540 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312116, best_loss=0.310716
- 2022-01-02 14:41:27,428 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300116, best_loss=0.300549
- 2022-01-02 14:41:27,455 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:41:27,456 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.205501317977905s
- 2022-01-02 14:41:27,456 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:41:27,456 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:41:27,456 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 293
- 2022-01-02 14:42:00,750 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.303108 Loss2 1.084522
- 2022-01-02 14:42:12,560 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311100, best_loss=0.310716
- 2022-01-02 14:42:19,229 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299962, best_loss=0.300116
- 2022-01-02 14:42:19,265 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:42:19,266 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.80949807167053s
- 2022-01-02 14:42:19,266 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:42:19,266 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:42:19,266 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 294
- 2022-01-02 14:42:51,241 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284258 Loss2 0.981123
- 2022-01-02 14:43:03,184 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.313363, best_loss=0.310716
- 2022-01-02 14:43:10,090 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299527, best_loss=0.299962
- 2022-01-02 14:43:10,118 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:43:10,118 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.85250115394592s
- 2022-01-02 14:43:10,119 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:43:10,119 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:43:10,119 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 295
- 2022-01-02 14:43:43,036 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.326665 Loss2 1.178670
- 2022-01-02 14:43:55,019 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.311600, best_loss=0.310716
- 2022-01-02 14:44:01,861 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299529, best_loss=0.299527
- 2022-01-02 14:44:01,861 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.7425000667572s
- 2022-01-02 14:44:01,862 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:44:01,862 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:44:01,862 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 296
- 2022-01-02 14:44:32,679 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.318768 Loss2 1.088158
- 2022-01-02 14:44:44,403 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316574, best_loss=0.310716
- 2022-01-02 14:44:51,048 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299096, best_loss=0.299527
- 2022-01-02 14:44:51,074 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:44:51,074 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.212501525878906s
- 2022-01-02 14:44:51,074 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:44:51,075 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:44:51,075 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 297
- 2022-01-02 14:45:23,408 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309710 Loss2 1.216203
- 2022-01-02 14:45:34,997 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314488, best_loss=0.310716
- 2022-01-02 14:45:41,586 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299017, best_loss=0.299096
- 2022-01-02 14:45:41,612 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:45:41,613 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.537999629974365s
- 2022-01-02 14:45:41,613 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:45:41,613 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:45:41,613 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 298
- 2022-01-02 14:46:12,514 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.330895 Loss2 1.159391
- 2022-01-02 14:46:24,147 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310693, best_loss=0.310716
- 2022-01-02 14:46:24,172 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:46:30,928 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298643, best_loss=0.299017
- 2022-01-02 14:46:30,954 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:46:30,955 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.342499017715454s
- 2022-01-02 14:46:30,955 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:46:30,955 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:46:30,955 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 299
- 2022-01-02 14:46:59,225 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.325349 Loss2 1.141994
- 2022-01-02 14:47:10,771 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308787, best_loss=0.310693
- 2022-01-02 14:47:10,813 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:47:17,531 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298375, best_loss=0.298643
- 2022-01-02 14:47:17,556 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:47:17,557 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 46.601502418518066s
- 2022-01-02 14:47:17,557 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:47:17,557 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:47:17,557 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 300
- 2022-01-02 14:47:49,029 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.337138 Loss2 1.138948
- 2022-01-02 14:48:00,541 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309162, best_loss=0.308787
- 2022-01-02 14:48:06,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297969, best_loss=0.298375
- 2022-01-02 14:48:06,984 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:48:06,985 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.427998781204224s
- 2022-01-02 14:48:06,985 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:48:06,985 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:48:06,985 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 301
- 2022-01-02 14:48:37,906 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280749 Loss2 0.978501
- 2022-01-02 14:48:49,392 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310512, best_loss=0.308787
- 2022-01-02 14:48:56,102 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297984, best_loss=0.297969
- 2022-01-02 14:48:56,103 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.117499589920044s
- 2022-01-02 14:48:56,103 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:48:56,103 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:48:56,103 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 302
- 2022-01-02 14:49:27,404 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.294444 Loss2 1.192182
- 2022-01-02 14:49:39,114 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308331, best_loss=0.308787
- 2022-01-02 14:49:39,139 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:49:45,873 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297751, best_loss=0.297969
- 2022-01-02 14:49:45,900 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:49:45,901 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.797500133514404s
- 2022-01-02 14:49:45,901 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:49:45,901 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:49:45,901 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 303
- 2022-01-02 14:50:16,303 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.314175 Loss2 1.108227
- 2022-01-02 14:50:27,799 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310683, best_loss=0.308331
- 2022-01-02 14:50:34,281 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297485, best_loss=0.297751
- 2022-01-02 14:50:34,304 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:50:34,305 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.40400052070618s
- 2022-01-02 14:50:34,305 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:50:34,305 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:50:34,305 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 304
- 2022-01-02 14:51:06,688 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307492 Loss2 1.091187
- 2022-01-02 14:51:18,476 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310938, best_loss=0.308331
- 2022-01-02 14:51:25,046 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297317, best_loss=0.297485
- 2022-01-02 14:51:25,069 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:51:25,070 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.7645001411438s
- 2022-01-02 14:51:25,070 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:51:25,070 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:51:25,070 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 305
- 2022-01-02 14:51:55,993 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.322420 Loss2 1.214410
- 2022-01-02 14:52:07,879 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309630, best_loss=0.308331
- 2022-01-02 14:52:14,568 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297224, best_loss=0.297317
- 2022-01-02 14:52:14,594 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:52:14,595 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.524498462677s
- 2022-01-02 14:52:14,595 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:52:14,595 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:52:14,595 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 306
- 2022-01-02 14:52:47,222 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289818 Loss2 1.079870
- 2022-01-02 14:52:58,822 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309500, best_loss=0.308331
- 2022-01-02 14:53:05,399 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296890, best_loss=0.297224
- 2022-01-02 14:53:05,427 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:53:05,428 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.83300185203552s
- 2022-01-02 14:53:05,428 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:53:05,428 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:53:05,428 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 307
- 2022-01-02 14:53:35,204 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.323445 Loss2 1.050017
- 2022-01-02 14:53:46,663 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.316160, best_loss=0.308331
- 2022-01-02 14:53:53,170 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296902, best_loss=0.296890
- 2022-01-02 14:53:53,171 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.74249982833862s
- 2022-01-02 14:53:53,171 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:53:53,171 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:53:53,171 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 308
- 2022-01-02 14:54:23,860 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.306915 Loss2 1.008360
- 2022-01-02 14:54:35,391 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308484, best_loss=0.308331
- 2022-01-02 14:54:42,009 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296866, best_loss=0.296890
- 2022-01-02 14:54:42,046 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:54:42,047 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.87549901008606s
- 2022-01-02 14:54:42,047 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:54:42,047 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:54:42,047 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 309
- 2022-01-02 14:55:13,599 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.318128 Loss2 1.084256
- 2022-01-02 14:55:25,359 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308801, best_loss=0.308331
- 2022-01-02 14:55:32,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296336, best_loss=0.296866
- 2022-01-02 14:55:32,230 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:55:32,231 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.18350052833557s
- 2022-01-02 14:55:32,231 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:55:32,231 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:55:32,231 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 310
- 2022-01-02 14:56:02,752 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.321718 Loss2 1.100113
- 2022-01-02 14:56:14,323 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309391, best_loss=0.308331
- 2022-01-02 14:56:20,919 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296101, best_loss=0.296336
- 2022-01-02 14:56:20,943 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:56:20,944 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 48.71249961853027s
- 2022-01-02 14:56:20,944 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:56:20,944 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:56:20,944 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 311
- 2022-01-02 14:56:50,424 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307121 Loss2 1.128753
- 2022-01-02 14:57:02,007 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308826, best_loss=0.308331
- 2022-01-02 14:57:08,733 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296062, best_loss=0.296101
- 2022-01-02 14:57:08,756 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:57:08,756 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 47.811999559402466s
- 2022-01-02 14:57:08,757 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:57:08,757 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:57:08,757 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 312
- 2022-01-02 14:57:39,381 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.324121 Loss2 1.102187
- 2022-01-02 14:57:51,333 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306979, best_loss=0.308331
- 2022-01-02 14:57:51,358 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:57:58,304 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296017, best_loss=0.296062
- 2022-01-02 14:57:58,329 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:57:58,329 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.57249903678894s
- 2022-01-02 14:57:58,330 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:57:58,330 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:57:58,330 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 313
- 2022-01-02 14:58:30,464 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.321950 Loss2 1.026017
- 2022-01-02 14:58:42,339 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308253, best_loss=0.306979
- 2022-01-02 14:58:49,168 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295784, best_loss=0.296017
- 2022-01-02 14:58:49,198 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:58:49,198 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.868502378463745s
- 2022-01-02 14:58:49,199 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:58:49,199 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:58:49,199 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 314
- 2022-01-02 14:59:22,667 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307943 Loss2 1.158881
- 2022-01-02 14:59:34,738 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307943, best_loss=0.306979
- 2022-01-02 14:59:41,685 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295445, best_loss=0.295784
- 2022-01-02 14:59:41,710 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 14:59:41,711 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.51199769973755s
- 2022-01-02 14:59:41,711 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 14:59:41,711 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 14:59:41,711 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 315
- 2022-01-02 15:00:14,192 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307199 Loss2 1.022969
- 2022-01-02 15:00:25,917 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306731, best_loss=0.306979
- 2022-01-02 15:00:25,952 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:00:32,836 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295283, best_loss=0.295445
- 2022-01-02 15:00:32,877 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:00:32,879 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.1675066947937s
- 2022-01-02 15:00:32,879 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:00:32,879 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:00:32,879 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 316
- 2022-01-02 15:01:05,106 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.325201 Loss2 1.184176
- 2022-01-02 15:01:17,189 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307916, best_loss=0.306731
- 2022-01-02 15:01:24,207 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294837, best_loss=0.295283
- 2022-01-02 15:01:24,233 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:01:24,234 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.354496479034424s
- 2022-01-02 15:01:24,234 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:01:24,234 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:01:24,234 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 317
- 2022-01-02 15:01:58,068 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.310440 Loss2 1.016058
- 2022-01-02 15:02:10,043 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307489, best_loss=0.306731
- 2022-01-02 15:02:17,048 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294708, best_loss=0.294837
- 2022-01-02 15:02:17,072 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:02:17,072 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.838499307632446s
- 2022-01-02 15:02:17,073 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:02:17,073 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:02:17,073 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 318
- 2022-01-02 15:02:49,013 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.339468 Loss2 1.067604
- 2022-01-02 15:03:00,821 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307152, best_loss=0.306731
- 2022-01-02 15:03:07,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294683, best_loss=0.294708
- 2022-01-02 15:03:07,677 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:03:07,678 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.60499978065491s
- 2022-01-02 15:03:07,678 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:03:07,678 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:03:07,678 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 319
- 2022-01-02 15:03:40,629 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.334629 Loss2 1.097354
- 2022-01-02 15:03:52,858 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.308180, best_loss=0.306731
- 2022-01-02 15:03:59,871 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294535, best_loss=0.294683
- 2022-01-02 15:03:59,897 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:03:59,897 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.21949863433838s
- 2022-01-02 15:03:59,897 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:03:59,897 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:03:59,897 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 320
- 2022-01-02 15:04:33,759 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.320293 Loss2 1.058774
- 2022-01-02 15:04:45,809 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306715, best_loss=0.306731
- 2022-01-02 15:04:45,834 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:04:52,787 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294078, best_loss=0.294535
- 2022-01-02 15:04:52,811 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:04:52,812 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.91449952125549s
- 2022-01-02 15:04:52,812 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:04:52,812 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:04:52,812 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 321
- 2022-01-02 15:05:25,955 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.326111 Loss2 1.134278
- 2022-01-02 15:05:37,875 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.320266, best_loss=0.306715
- 2022-01-02 15:05:44,619 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294008, best_loss=0.294078
- 2022-01-02 15:05:44,645 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:05:44,645 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.8330020904541s
- 2022-01-02 15:05:44,645 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:05:44,645 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:05:44,645 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 322
- 2022-01-02 15:06:16,764 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.304958 Loss2 0.991039
- 2022-01-02 15:06:28,630 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307605, best_loss=0.306715
- 2022-01-02 15:06:35,379 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293996, best_loss=0.294008
- 2022-01-02 15:06:35,404 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:06:35,405 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.75949954986572s
- 2022-01-02 15:06:35,405 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:06:35,405 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:06:35,405 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 323
- 2022-01-02 15:07:08,394 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.326679 Loss2 1.092291
- 2022-01-02 15:07:20,169 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.310426, best_loss=0.306715
- 2022-01-02 15:07:27,004 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293931, best_loss=0.293996
- 2022-01-02 15:07:27,030 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:07:27,030 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.625499963760376s
- 2022-01-02 15:07:27,030 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:07:27,030 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:07:27,030 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 324
- 2022-01-02 15:07:58,927 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.301352 Loss2 1.003836
- 2022-01-02 15:08:10,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307444, best_loss=0.306715
- 2022-01-02 15:08:17,304 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293920, best_loss=0.293931
- 2022-01-02 15:08:17,328 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:08:17,329 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 50.29850196838379s
- 2022-01-02 15:08:17,329 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:08:17,329 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:08:17,329 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 325
- 2022-01-02 15:08:50,492 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.297073 Loss2 0.986891
- 2022-01-02 15:09:02,321 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306516, best_loss=0.306715
- 2022-01-02 15:09:02,345 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:09:08,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293597, best_loss=0.293920
- 2022-01-02 15:09:08,991 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:09:08,992 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.662996768951416s
- 2022-01-02 15:09:08,992 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:09:08,992 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:09:08,992 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 326
- 2022-01-02 15:09:41,204 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.306063 Loss2 1.110525
- 2022-01-02 15:09:53,522 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307229, best_loss=0.306516
- 2022-01-02 15:10:00,363 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293484, best_loss=0.293597
- 2022-01-02 15:10:00,388 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:10:00,389 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.39650082588196s
- 2022-01-02 15:10:00,389 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:10:00,389 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:10:00,389 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 327
- 2022-01-02 15:10:31,582 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285772 Loss2 1.071788
- 2022-01-02 15:10:43,366 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306168, best_loss=0.306516
- 2022-01-02 15:10:43,391 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:10:50,269 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293157, best_loss=0.293484
- 2022-01-02 15:10:50,293 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:10:50,294 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.90450048446655s
- 2022-01-02 15:10:50,294 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:10:50,294 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:10:50,294 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 328
- 2022-01-02 15:11:25,091 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.322439 Loss2 1.156015
- 2022-01-02 15:11:37,346 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307074, best_loss=0.306168
- 2022-01-02 15:11:44,197 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293032, best_loss=0.293157
- 2022-01-02 15:11:44,224 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:11:44,224 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.930499792099s
- 2022-01-02 15:11:44,225 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:11:44,225 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:11:44,225 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 329
- 2022-01-02 15:12:17,446 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.330367 Loss2 1.084984
- 2022-01-02 15:12:29,894 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305412, best_loss=0.306168
- 2022-01-02 15:12:29,924 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:12:36,915 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292838, best_loss=0.293032
- 2022-01-02 15:12:36,950 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:12:36,951 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.725998878479004s
- 2022-01-02 15:12:36,951 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:12:36,951 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:12:36,951 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 330
- 2022-01-02 15:13:10,446 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.308778 Loss2 1.141224
- 2022-01-02 15:13:22,709 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305964, best_loss=0.305412
- 2022-01-02 15:13:29,748 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292712, best_loss=0.292838
- 2022-01-02 15:13:29,778 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:13:29,778 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.827502727508545s
- 2022-01-02 15:13:29,778 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:13:29,778 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:13:29,779 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 331
- 2022-01-02 15:14:03,263 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.338909 Loss2 1.068036
- 2022-01-02 15:14:15,517 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305267, best_loss=0.305412
- 2022-01-02 15:14:15,542 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:14:22,515 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292523, best_loss=0.292712
- 2022-01-02 15:14:22,540 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:14:22,540 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.76149940490723s
- 2022-01-02 15:14:22,540 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:14:22,540 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:14:22,540 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 332
- 2022-01-02 15:14:59,024 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.315961 Loss2 1.129977
- 2022-01-02 15:15:11,229 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305550, best_loss=0.305267
- 2022-01-02 15:15:18,240 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292320, best_loss=0.292523
- 2022-01-02 15:15:18,266 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:15:18,267 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 55.72700047492981s
- 2022-01-02 15:15:18,267 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:15:18,267 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:15:18,267 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 333
- 2022-01-02 15:15:51,607 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.308667 Loss2 0.961900
- 2022-01-02 15:16:03,478 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306817, best_loss=0.305267
- 2022-01-02 15:16:10,384 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292289, best_loss=0.292320
- 2022-01-02 15:16:10,407 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:16:10,407 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.14000225067139s
- 2022-01-02 15:16:10,407 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:16:10,407 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:16:10,408 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 334
- 2022-01-02 15:16:45,710 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.331620 Loss2 1.062171
- 2022-01-02 15:16:57,808 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.307935, best_loss=0.305267
- 2022-01-02 15:17:04,775 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292182, best_loss=0.292289
- 2022-01-02 15:17:04,802 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:17:04,802 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 54.39449906349182s
- 2022-01-02 15:17:04,802 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:17:04,803 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:17:04,804 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 335
- 2022-01-02 15:17:35,331 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.281457 Loss2 1.025519
- 2022-01-02 15:17:47,112 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305294, best_loss=0.305267
- 2022-01-02 15:17:53,821 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292111, best_loss=0.292182
- 2022-01-02 15:17:53,846 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:17:53,847 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 49.04300117492676s
- 2022-01-02 15:17:53,847 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:17:53,847 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:17:53,847 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 336
- 2022-01-02 15:18:26,452 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316372 Loss2 1.230519
- 2022-01-02 15:18:38,321 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305422, best_loss=0.305267
- 2022-01-02 15:18:44,985 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291887, best_loss=0.292111
- 2022-01-02 15:18:45,010 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:18:45,011 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.16399836540222s
- 2022-01-02 15:18:45,011 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:18:45,011 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:18:45,011 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 337
- 2022-01-02 15:19:18,445 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.305187 Loss2 1.099697
- 2022-01-02 15:19:30,423 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305824, best_loss=0.305267
- 2022-01-02 15:19:37,224 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291566, best_loss=0.291887
- 2022-01-02 15:19:37,253 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:19:37,254 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 52.24250149726868s
- 2022-01-02 15:19:37,254 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:19:37,254 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:19:37,254 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 338
- 2022-01-02 15:20:11,075 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307412 Loss2 1.181733
- 2022-01-02 15:20:23,650 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303871, best_loss=0.305267
- 2022-01-02 15:20:23,674 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:20:30,309 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291337, best_loss=0.291566
- 2022-01-02 15:20:30,332 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:20:30,333 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 53.078500747680664s
- 2022-01-02 15:20:30,333 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:20:30,333 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:20:30,333 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 339
- 2022-01-02 15:21:03,220 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.315715 Loss2 1.080289
- 2022-01-02 15:21:15,060 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305205, best_loss=0.303871
- 2022-01-02 15:21:22,268 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291243, best_loss=0.291337
- 2022-01-02 15:21:22,293 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:21:22,293 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 51.96049976348877s
- 2022-01-02 15:21:22,293 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:21:22,293 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:21:22,294 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 340
- 2022-01-02 15:21:58,363 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.301230 Loss2 1.029749
- 2022-01-02 15:22:10,937 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304456, best_loss=0.303871
- 2022-01-02 15:22:18,619 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291020, best_loss=0.291243
- 2022-01-02 15:22:18,646 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:22:18,646 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 56.35249853134155s
- 2022-01-02 15:22:18,646 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:22:18,646 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:22:18,646 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 341
- 2022-01-02 15:22:47,731 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.311571 Loss2 1.057224
- 2022-01-02 15:22:57,220 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304571, best_loss=0.303871
- 2022-01-02 15:23:02,596 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290916, best_loss=0.291020
- 2022-01-02 15:23:02,615 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:23:02,616 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 43.96955871582031s
- 2022-01-02 15:23:02,616 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:23:02,616 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:23:02,616 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 342
- 2022-01-02 15:23:18,532 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.304184 Loss2 1.152076
- 2022-01-02 15:23:27,802 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305002, best_loss=0.303871
- 2022-01-02 15:23:33,220 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290672, best_loss=0.290916
- 2022-01-02 15:23:33,242 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:23:33,242 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.626387119293213s
- 2022-01-02 15:23:33,242 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:23:33,242 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:23:33,242 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 343
- 2022-01-02 15:23:49,139 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295865 Loss2 1.007180
- 2022-01-02 15:23:58,393 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304766, best_loss=0.303871
- 2022-01-02 15:24:03,775 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290549, best_loss=0.290672
- 2022-01-02 15:24:03,792 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:24:03,793 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.550650119781494s
- 2022-01-02 15:24:03,793 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:24:03,793 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:24:03,793 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 344
- 2022-01-02 15:24:19,716 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.302850 Loss2 1.075031
- 2022-01-02 15:24:28,976 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303019, best_loss=0.303871
- 2022-01-02 15:24:28,994 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:24:34,362 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290286, best_loss=0.290549
- 2022-01-02 15:24:34,381 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:24:34,381 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58804225921631s
- 2022-01-02 15:24:34,381 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:24:34,382 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:24:34,382 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 345
- 2022-01-02 15:24:50,306 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274101 Loss2 1.047196
- 2022-01-02 15:24:59,766 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303895, best_loss=0.303019
- 2022-01-02 15:25:05,166 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290135, best_loss=0.290286
- 2022-01-02 15:25:05,193 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:25:05,193 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.811397314071655s
- 2022-01-02 15:25:05,193 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:25:05,194 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:25:05,194 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 346
- 2022-01-02 15:25:21,100 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.314765 Loss2 1.057582
- 2022-01-02 15:25:30,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303380, best_loss=0.303019
- 2022-01-02 15:25:35,563 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290130, best_loss=0.290135
- 2022-01-02 15:25:35,581 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:25:35,581 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38731622695923s
- 2022-01-02 15:25:35,581 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:25:35,581 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:25:35,581 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 347
- 2022-01-02 15:25:51,488 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298648 Loss2 1.138682
- 2022-01-02 15:26:00,759 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303233, best_loss=0.303019
- 2022-01-02 15:26:06,151 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290070, best_loss=0.290130
- 2022-01-02 15:26:06,179 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:26:06,180 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59878945350647s
- 2022-01-02 15:26:06,180 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:26:06,180 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:26:06,180 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 348
- 2022-01-02 15:26:22,081 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.312152 Loss2 1.117789
- 2022-01-02 15:26:31,529 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304566, best_loss=0.303019
- 2022-01-02 15:26:36,930 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289957, best_loss=0.290070
- 2022-01-02 15:26:36,948 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:26:36,948 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.768397331237793s
- 2022-01-02 15:26:36,948 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:26:36,948 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:26:36,948 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 349
- 2022-01-02 15:26:52,886 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.301123 Loss2 1.067603
- 2022-01-02 15:27:02,108 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303729, best_loss=0.303019
- 2022-01-02 15:27:07,505 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289619, best_loss=0.289957
- 2022-01-02 15:27:07,522 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:27:07,523 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.574490547180176s
- 2022-01-02 15:27:07,523 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:27:07,523 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:27:07,523 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 350
- 2022-01-02 15:27:23,457 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.329652 Loss2 1.085840
- 2022-01-02 15:27:32,704 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304219, best_loss=0.303019
- 2022-01-02 15:27:38,117 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289373, best_loss=0.289619
- 2022-01-02 15:27:38,135 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:27:38,136 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61250400543213s
- 2022-01-02 15:27:38,136 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:27:38,136 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:27:38,136 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 351
- 2022-01-02 15:27:54,046 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.301053 Loss2 1.074530
- 2022-01-02 15:28:03,296 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302497, best_loss=0.303019
- 2022-01-02 15:28:03,313 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:28:08,699 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289185, best_loss=0.289373
- 2022-01-02 15:28:08,718 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:28:08,718 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.582571506500244s
- 2022-01-02 15:28:08,718 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:28:08,718 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:28:08,719 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 352
- 2022-01-02 15:28:24,644 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284208 Loss2 1.060543
- 2022-01-02 15:28:33,907 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303453, best_loss=0.302497
- 2022-01-02 15:28:39,257 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289033, best_loss=0.289185
- 2022-01-02 15:28:39,275 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:28:39,276 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55622673034668s
- 2022-01-02 15:28:39,276 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:28:39,276 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:28:39,276 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 353
- 2022-01-02 15:28:55,219 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.304839 Loss2 0.990196
- 2022-01-02 15:29:04,494 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304558, best_loss=0.302497
- 2022-01-02 15:29:09,877 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288950, best_loss=0.289033
- 2022-01-02 15:29:09,895 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:29:09,895 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.6195387840271s
- 2022-01-02 15:29:09,896 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:29:09,896 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:29:09,896 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 354
- 2022-01-02 15:29:25,837 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298338 Loss2 0.975959
- 2022-01-02 15:29:35,065 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.303065, best_loss=0.302497
- 2022-01-02 15:29:40,490 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289013, best_loss=0.288950
- 2022-01-02 15:29:40,490 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.594826221466064s
- 2022-01-02 15:29:40,490 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:29:40,490 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:29:40,490 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 355
- 2022-01-02 15:29:56,413 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307609 Loss2 1.170354
- 2022-01-02 15:30:05,874 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302775, best_loss=0.302497
- 2022-01-02 15:30:11,248 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288601, best_loss=0.288950
- 2022-01-02 15:30:11,274 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:30:11,274 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.783119440078735s
- 2022-01-02 15:30:11,274 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:30:11,274 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:30:11,274 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 356
- 2022-01-02 15:30:27,195 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.311098 Loss2 1.154374
- 2022-01-02 15:30:36,485 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302887, best_loss=0.302497
- 2022-01-02 15:30:41,808 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288739, best_loss=0.288601
- 2022-01-02 15:30:41,808 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.534064292907715s
- 2022-01-02 15:30:41,808 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:30:41,808 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:30:41,809 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 357
- 2022-01-02 15:30:57,802 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285690 Loss2 1.077815
- 2022-01-02 15:31:07,246 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.304258, best_loss=0.302497
- 2022-01-02 15:31:12,669 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288672, best_loss=0.288601
- 2022-01-02 15:31:12,670 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.861162662506104s
- 2022-01-02 15:31:12,670 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:31:12,670 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:31:12,670 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 358
- 2022-01-02 15:31:28,588 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316976 Loss2 1.076696
- 2022-01-02 15:31:38,037 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302749, best_loss=0.302497
- 2022-01-02 15:31:43,450 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288603, best_loss=0.288601
- 2022-01-02 15:31:43,450 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.7801513671875s
- 2022-01-02 15:31:43,450 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:31:43,450 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:31:43,450 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 359
- 2022-01-02 15:31:59,376 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.323017 Loss2 1.212101
- 2022-01-02 15:32:08,642 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302369, best_loss=0.302497
- 2022-01-02 15:32:08,660 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:32:13,996 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288514, best_loss=0.288601
- 2022-01-02 15:32:14,014 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:32:14,014 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56388020515442s
- 2022-01-02 15:32:14,014 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:32:14,014 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:32:14,014 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 360
- 2022-01-02 15:32:29,968 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.324925 Loss2 1.096829
- 2022-01-02 15:32:39,209 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301604, best_loss=0.302369
- 2022-01-02 15:32:39,227 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:32:44,618 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288387, best_loss=0.288514
- 2022-01-02 15:32:44,636 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:32:44,637 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.622356414794922s
- 2022-01-02 15:32:44,637 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:32:44,637 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:32:44,637 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 361
- 2022-01-02 15:33:00,567 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309897 Loss2 1.250275
- 2022-01-02 15:33:09,803 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302829, best_loss=0.301604
- 2022-01-02 15:33:15,206 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288371, best_loss=0.288387
- 2022-01-02 15:33:15,225 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:33:15,225 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587921380996704s
- 2022-01-02 15:33:15,225 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:33:15,225 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:33:15,225 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 362
- 2022-01-02 15:33:31,147 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.300094 Loss2 1.050201
- 2022-01-02 15:33:40,400 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302032, best_loss=0.301604
- 2022-01-02 15:33:46,002 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288344, best_loss=0.288371
- 2022-01-02 15:33:46,025 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:33:46,025 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.800278186798096s
- 2022-01-02 15:33:46,025 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:33:46,025 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:33:46,025 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 363
- 2022-01-02 15:34:02,143 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.305002 Loss2 1.126166
- 2022-01-02 15:34:11,413 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302580, best_loss=0.301604
- 2022-01-02 15:34:16,796 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288150, best_loss=0.288344
- 2022-01-02 15:34:16,813 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:34:16,814 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.788329362869263s
- 2022-01-02 15:34:16,814 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:34:16,814 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:34:16,814 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 364
- 2022-01-02 15:34:33,328 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.316986 Loss2 1.181870
- 2022-01-02 15:34:42,578 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301045, best_loss=0.301604
- 2022-01-02 15:34:42,596 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:34:47,970 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287909, best_loss=0.288150
- 2022-01-02 15:34:47,988 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:34:47,989 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.174585342407227s
- 2022-01-02 15:34:47,989 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:34:47,989 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:34:47,989 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 365
- 2022-01-02 15:35:03,914 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.296463 Loss2 1.099166
- 2022-01-02 15:35:13,384 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300016, best_loss=0.301045
- 2022-01-02 15:35:13,403 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:35:18,775 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287521, best_loss=0.287909
- 2022-01-02 15:35:18,793 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:35:18,794 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.805049896240234s
- 2022-01-02 15:35:18,794 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:35:18,794 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:35:18,794 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 366
- 2022-01-02 15:35:34,713 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290222 Loss2 1.056959
- 2022-01-02 15:35:43,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300467, best_loss=0.300016
- 2022-01-02 15:35:49,365 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287222, best_loss=0.287521
- 2022-01-02 15:35:49,384 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:35:49,384 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590065717697144s
- 2022-01-02 15:35:49,384 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:35:49,384 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:35:49,384 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 367
- 2022-01-02 15:36:05,299 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.306223 Loss2 1.177094
- 2022-01-02 15:36:14,561 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301621, best_loss=0.300016
- 2022-01-02 15:36:19,954 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287088, best_loss=0.287222
- 2022-01-02 15:36:19,973 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:36:19,973 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58900761604309s
- 2022-01-02 15:36:19,973 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:36:19,973 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:36:19,973 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 368
- 2022-01-02 15:36:35,698 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.299432 Loss2 1.144324
- 2022-01-02 15:36:44,945 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299883, best_loss=0.300016
- 2022-01-02 15:36:44,963 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:36:50,349 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286889, best_loss=0.287088
- 2022-01-02 15:36:50,368 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:36:50,369 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.39509677886963s
- 2022-01-02 15:36:50,369 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:36:50,369 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:36:50,369 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 369
- 2022-01-02 15:37:06,086 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289466 Loss2 1.041790
- 2022-01-02 15:37:15,340 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.301271, best_loss=0.299883
- 2022-01-02 15:37:20,528 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286559, best_loss=0.286889
- 2022-01-02 15:37:20,546 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:37:20,546 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.177414894104004s
- 2022-01-02 15:37:20,546 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:37:20,546 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:37:20,546 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 370
- 2022-01-02 15:37:36,479 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295490 Loss2 1.178505
- 2022-01-02 15:37:45,722 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.302523, best_loss=0.299883
- 2022-01-02 15:37:51,121 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286406, best_loss=0.286559
- 2022-01-02 15:37:51,139 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:37:51,139 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.593016624450684s
- 2022-01-02 15:37:51,139 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:37:51,139 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:37:51,139 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 371
- 2022-01-02 15:38:07,012 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.297480 Loss2 1.052156
- 2022-01-02 15:38:16,351 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299373, best_loss=0.299883
- 2022-01-02 15:38:16,370 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:38:21,918 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286513, best_loss=0.286406
- 2022-01-02 15:38:21,919 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.7793128490448s
- 2022-01-02 15:38:21,919 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:38:21,919 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:38:21,919 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 372
- 2022-01-02 15:38:37,851 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287894 Loss2 1.046822
- 2022-01-02 15:38:47,023 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299153, best_loss=0.299373
- 2022-01-02 15:38:47,041 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:38:52,339 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286236, best_loss=0.286406
- 2022-01-02 15:38:52,358 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:38:52,358 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.439451217651367s
- 2022-01-02 15:38:52,358 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:38:52,358 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:38:52,358 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 373
- 2022-01-02 15:39:08,230 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.319661 Loss2 1.055767
- 2022-01-02 15:39:17,498 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299096, best_loss=0.299153
- 2022-01-02 15:39:17,517 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:39:22,896 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286121, best_loss=0.286236
- 2022-01-02 15:39:22,914 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:39:22,914 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55582046508789s
- 2022-01-02 15:39:22,914 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:39:22,914 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:39:22,914 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 374
- 2022-01-02 15:39:38,639 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273576 Loss2 1.014786
- 2022-01-02 15:39:47,891 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300296, best_loss=0.299096
- 2022-01-02 15:39:53,097 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285828, best_loss=0.286121
- 2022-01-02 15:39:53,115 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:39:53,115 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.201385021209717s
- 2022-01-02 15:39:53,115 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:39:53,115 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:39:53,115 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 375
- 2022-01-02 15:40:09,031 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.294110 Loss2 0.947094
- 2022-01-02 15:40:18,281 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299269, best_loss=0.299096
- 2022-01-02 15:40:23,469 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285987, best_loss=0.285828
- 2022-01-02 15:40:23,470 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.35440492630005s
- 2022-01-02 15:40:23,470 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:40:23,470 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:40:23,470 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 376
- 2022-01-02 15:40:39,413 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286332 Loss2 1.112165
- 2022-01-02 15:40:48,665 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298790, best_loss=0.299096
- 2022-01-02 15:40:48,683 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:40:54,066 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285960, best_loss=0.285828
- 2022-01-02 15:40:54,066 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59638738632202s
- 2022-01-02 15:40:54,067 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:40:54,067 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:40:54,067 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 377
- 2022-01-02 15:41:09,817 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.282130 Loss2 1.180856
- 2022-01-02 15:41:19,056 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299605, best_loss=0.298790
- 2022-01-02 15:41:24,497 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285786, best_loss=0.285828
- 2022-01-02 15:41:24,515 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:41:24,515 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.448359966278076s
- 2022-01-02 15:41:24,515 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:41:24,515 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:41:24,515 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 378
- 2022-01-02 15:41:40,397 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.277265 Loss2 0.986837
- 2022-01-02 15:41:49,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299614, best_loss=0.298790
- 2022-01-02 15:41:55,045 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285644, best_loss=0.285786
- 2022-01-02 15:41:55,064 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:41:55,064 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.549272775650024s
- 2022-01-02 15:41:55,064 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:41:55,064 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:41:55,064 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 379
- 2022-01-02 15:42:10,980 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287825 Loss2 1.003675
- 2022-01-02 15:42:20,248 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300505, best_loss=0.298790
- 2022-01-02 15:42:25,637 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285514, best_loss=0.285644
- 2022-01-02 15:42:25,655 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:42:25,656 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.591379642486572s
- 2022-01-02 15:42:25,656 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:42:25,656 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:42:25,656 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 380
- 2022-01-02 15:42:41,788 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.318037 Loss2 1.088800
- 2022-01-02 15:42:51,040 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297897, best_loss=0.298790
- 2022-01-02 15:42:51,057 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:42:56,435 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285292, best_loss=0.285514
- 2022-01-02 15:42:56,453 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:42:56,454 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.798168659210205s
- 2022-01-02 15:42:56,454 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:42:56,454 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:42:56,454 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 381
- 2022-01-02 15:43:12,363 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287825 Loss2 1.155317
- 2022-01-02 15:43:21,615 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298401, best_loss=0.297897
- 2022-01-02 15:43:27,015 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285326, best_loss=0.285292
- 2022-01-02 15:43:27,015 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.561459064483643s
- 2022-01-02 15:43:27,015 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:43:27,015 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:43:27,016 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 382
- 2022-01-02 15:43:42,768 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.291599 Loss2 1.142195
- 2022-01-02 15:43:52,208 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299227, best_loss=0.297897
- 2022-01-02 15:43:57,608 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285322, best_loss=0.285292
- 2022-01-02 15:43:57,608 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592379808425903s
- 2022-01-02 15:43:57,608 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:43:57,609 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:43:57,609 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 383
- 2022-01-02 15:44:13,361 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275909 Loss2 0.968837
- 2022-01-02 15:44:22,611 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297839, best_loss=0.297897
- 2022-01-02 15:44:22,631 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:44:27,997 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285065, best_loss=0.285292
- 2022-01-02 15:44:28,016 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:44:28,016 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.407615900039673s
- 2022-01-02 15:44:28,016 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:44:28,016 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:44:28,016 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 384
- 2022-01-02 15:44:43,952 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.305636 Loss2 1.146942
- 2022-01-02 15:44:53,212 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299352, best_loss=0.297839
- 2022-01-02 15:44:58,596 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284955, best_loss=0.285065
- 2022-01-02 15:44:58,615 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:44:58,615 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.599098682403564s
- 2022-01-02 15:44:58,615 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:44:58,615 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:44:58,615 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 385
- 2022-01-02 15:45:14,552 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287021 Loss2 1.061924
- 2022-01-02 15:45:23,787 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297769, best_loss=0.297839
- 2022-01-02 15:45:23,805 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:45:29,193 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284871, best_loss=0.284955
- 2022-01-02 15:45:29,211 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:45:29,211 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.595890045166016s
- 2022-01-02 15:45:29,211 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:45:29,211 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:45:29,211 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 386
- 2022-01-02 15:45:45,121 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309539 Loss2 1.066558
- 2022-01-02 15:45:54,396 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=2.502431, best_loss=0.297769
- 2022-01-02 15:45:59,769 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290223, best_loss=0.284871
- 2022-01-02 15:45:59,769 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.558130025863647s
- 2022-01-02 15:45:59,769 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:45:59,770 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:45:59,770 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 387
- 2022-01-02 15:46:15,721 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 2.527076 Loss2 1.031351
- 2022-01-02 15:46:25,167 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.484080, best_loss=0.297769
- 2022-01-02 15:46:30,396 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.391834, best_loss=0.284871
- 2022-01-02 15:46:30,397 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.626673936843872s
- 2022-01-02 15:46:30,397 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:46:30,397 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:46:30,397 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 388
- 2022-01-02 15:46:46,310 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.513005 Loss2 1.011330
- 2022-01-02 15:46:55,578 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.314274, best_loss=0.297769
- 2022-01-02 15:47:00,952 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.398111, best_loss=0.284871
- 2022-01-02 15:47:00,952 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.555378437042236s
- 2022-01-02 15:47:00,952 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:47:00,952 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:47:00,952 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 389
- 2022-01-02 15:47:16,707 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.332620 Loss2 1.109197
- 2022-01-02 15:47:25,950 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.305340, best_loss=0.297769
- 2022-01-02 15:47:31,271 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.353071, best_loss=0.284871
- 2022-01-02 15:47:31,271 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31878161430359s
- 2022-01-02 15:47:31,272 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:47:31,272 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:47:31,272 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 390
- 2022-01-02 15:47:47,100 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.345070 Loss2 1.109577
- 2022-01-02 15:47:56,366 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298862, best_loss=0.297769
- 2022-01-02 15:48:01,740 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.332316, best_loss=0.284871
- 2022-01-02 15:48:01,741 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.468786478042603s
- 2022-01-02 15:48:01,741 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:48:01,741 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:48:01,741 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 391
- 2022-01-02 15:48:17,665 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.318291 Loss2 1.093055
- 2022-01-02 15:48:26,934 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298768, best_loss=0.297769
- 2022-01-02 15:48:32,352 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.312855, best_loss=0.284871
- 2022-01-02 15:48:32,353 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.611725330352783s
- 2022-01-02 15:48:32,353 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:48:32,353 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:48:32,353 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 392
- 2022-01-02 15:48:48,071 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.314262 Loss2 1.009136
- 2022-01-02 15:48:57,356 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299052, best_loss=0.297769
- 2022-01-02 15:49:02,718 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.306180, best_loss=0.284871
- 2022-01-02 15:49:02,719 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.366175174713135s
- 2022-01-02 15:49:02,719 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:49:02,719 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:49:02,719 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 393
- 2022-01-02 15:49:18,467 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287300 Loss2 1.142908
- 2022-01-02 15:49:27,709 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297767, best_loss=0.297769
- 2022-01-02 15:49:27,726 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:49:33,030 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297299, best_loss=0.284871
- 2022-01-02 15:49:33,030 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31072211265564s
- 2022-01-02 15:49:33,030 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:49:33,030 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:49:33,030 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 394
- 2022-01-02 15:49:48,868 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.311106 Loss2 1.155459
- 2022-01-02 15:49:58,114 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.300166, best_loss=0.297767
- 2022-01-02 15:50:03,712 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291866, best_loss=0.284871
- 2022-01-02 15:50:03,712 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.682241916656494s
- 2022-01-02 15:50:03,713 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:50:03,713 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:50:03,713 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 395
- 2022-01-02 15:50:19,853 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.309551 Loss2 1.101880
- 2022-01-02 15:50:29,089 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.297104, best_loss=0.297767
- 2022-01-02 15:50:29,107 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:50:34,532 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288656, best_loss=0.284871
- 2022-01-02 15:50:34,533 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.819983959197998s
- 2022-01-02 15:50:34,533 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:50:34,533 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:50:34,533 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 396
- 2022-01-02 15:50:50,451 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287975 Loss2 1.151976
- 2022-01-02 15:50:59,701 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296225, best_loss=0.297104
- 2022-01-02 15:50:59,719 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:51:05,087 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287378, best_loss=0.284871
- 2022-01-02 15:51:05,087 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.553932905197144s
- 2022-01-02 15:51:05,087 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:51:05,087 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:51:05,087 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 397
- 2022-01-02 15:51:21,013 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.277399 Loss2 1.046882
- 2022-01-02 15:51:30,287 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295620, best_loss=0.296225
- 2022-01-02 15:51:30,305 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:51:35,673 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286684, best_loss=0.284871
- 2022-01-02 15:51:35,673 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.5852153301239s
- 2022-01-02 15:51:35,673 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:51:35,673 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:51:35,673 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 398
- 2022-01-02 15:51:51,632 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263732 Loss2 1.019637
- 2022-01-02 15:52:00,886 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295823, best_loss=0.295620
- 2022-01-02 15:52:06,265 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286085, best_loss=0.284871
- 2022-01-02 15:52:06,266 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592194080352783s
- 2022-01-02 15:52:06,266 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:52:06,266 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:52:06,266 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 399
- 2022-01-02 15:52:22,218 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279498 Loss2 1.016424
- 2022-01-02 15:52:31,476 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294978, best_loss=0.295620
- 2022-01-02 15:52:31,494 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:52:36,862 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285751, best_loss=0.284871
- 2022-01-02 15:52:36,862 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.596503019332886s
- 2022-01-02 15:52:36,862 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:52:36,863 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:52:36,863 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 400
- 2022-01-02 15:52:52,790 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.315158 Loss2 1.255207
- 2022-01-02 15:53:02,057 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295415, best_loss=0.294978
- 2022-01-02 15:53:07,464 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285452, best_loss=0.284871
- 2022-01-02 15:53:07,464 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.601439952850342s
- 2022-01-02 15:53:07,464 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:53:07,464 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:53:07,464 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 401
- 2022-01-02 15:53:23,190 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.306033 Loss2 1.088919
- 2022-01-02 15:53:32,451 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294999, best_loss=0.294978
- 2022-01-02 15:53:37,786 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285170, best_loss=0.284871
- 2022-01-02 15:53:37,786 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.321454763412476s
- 2022-01-02 15:53:37,786 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:53:37,786 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:53:37,786 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 402
- 2022-01-02 15:53:53,788 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266635 Loss2 1.042151
- 2022-01-02 15:54:03,025 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294207, best_loss=0.294978
- 2022-01-02 15:54:03,043 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:54:08,360 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285001, best_loss=0.284871
- 2022-01-02 15:54:08,361 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.574587106704712s
- 2022-01-02 15:54:08,361 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:54:08,361 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:54:08,361 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 403
- 2022-01-02 15:54:24,182 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286385 Loss2 1.079398
- 2022-01-02 15:54:33,635 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296948, best_loss=0.294207
- 2022-01-02 15:54:38,951 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284987, best_loss=0.284871
- 2022-01-02 15:54:38,952 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590878009796143s
- 2022-01-02 15:54:38,952 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:54:38,952 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:54:38,952 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 404
- 2022-01-02 15:54:54,769 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.296067 Loss2 1.091482
- 2022-01-02 15:55:04,027 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295685, best_loss=0.294207
- 2022-01-02 15:55:09,451 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284674, best_loss=0.284871
- 2022-01-02 15:55:09,469 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:55:09,470 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.517415523529053s
- 2022-01-02 15:55:09,470 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:55:09,470 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:55:09,470 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 405
- 2022-01-02 15:55:25,157 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.296614 Loss2 1.162866
- 2022-01-02 15:55:34,433 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293774, best_loss=0.294207
- 2022-01-02 15:55:34,452 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:55:39,807 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284456, best_loss=0.284674
- 2022-01-02 15:55:39,825 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:55:39,826 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.35555338859558s
- 2022-01-02 15:55:39,826 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:55:39,826 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:55:39,826 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 406
- 2022-01-02 15:55:55,548 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.302967 Loss2 1.137819
- 2022-01-02 15:56:04,842 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294998, best_loss=0.293774
- 2022-01-02 15:56:10,136 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284136, best_loss=0.284456
- 2022-01-02 15:56:10,154 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:56:10,154 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.328152179718018s
- 2022-01-02 15:56:10,154 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:56:10,155 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:56:10,155 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 407
- 2022-01-02 15:56:25,939 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290608 Loss2 1.008200
- 2022-01-02 15:56:35,199 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294914, best_loss=0.293774
- 2022-01-02 15:56:40,591 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284092, best_loss=0.284136
- 2022-01-02 15:56:40,610 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:56:40,610 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.455172300338745s
- 2022-01-02 15:56:40,610 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:56:40,610 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:56:40,610 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 408
- 2022-01-02 15:56:56,523 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.307248 Loss2 1.183187
- 2022-01-02 15:57:05,780 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294716, best_loss=0.293774
- 2022-01-02 15:57:11,169 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283954, best_loss=0.284092
- 2022-01-02 15:57:11,187 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:57:11,187 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.576903581619263s
- 2022-01-02 15:57:11,188 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:57:11,188 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:57:11,188 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 409
- 2022-01-02 15:57:27,118 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261719 Loss2 1.000133
- 2022-01-02 15:57:36,383 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294013, best_loss=0.293774
- 2022-01-02 15:57:41,778 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283773, best_loss=0.283954
- 2022-01-02 15:57:41,797 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:57:41,797 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.609121799468994s
- 2022-01-02 15:57:41,797 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:57:41,797 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:57:41,797 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 410
- 2022-01-02 15:57:57,723 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287915 Loss2 1.088184
- 2022-01-02 15:58:06,969 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295502, best_loss=0.293774
- 2022-01-02 15:58:12,362 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283627, best_loss=0.283773
- 2022-01-02 15:58:12,381 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:58:12,381 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.584430932998657s
- 2022-01-02 15:58:12,381 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:58:12,381 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:58:12,381 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 411
- 2022-01-02 15:58:28,106 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266871 Loss2 1.037727
- 2022-01-02 15:58:37,362 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.298015, best_loss=0.293774
- 2022-01-02 15:58:42,746 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283574, best_loss=0.283627
- 2022-01-02 15:58:42,765 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:58:42,765 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38359022140503s
- 2022-01-02 15:58:42,765 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:58:42,765 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:58:42,765 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 412
- 2022-01-02 15:58:58,688 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284980 Loss2 1.111387
- 2022-01-02 15:59:07,945 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294924, best_loss=0.293774
- 2022-01-02 15:59:13,342 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283537, best_loss=0.283574
- 2022-01-02 15:59:13,360 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:59:13,361 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.595500230789185s
- 2022-01-02 15:59:13,361 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:59:13,361 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:59:13,361 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 413
- 2022-01-02 15:59:29,271 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.308630 Loss2 1.166239
- 2022-01-02 15:59:38,564 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294482, best_loss=0.293774
- 2022-01-02 15:59:43,951 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283449, best_loss=0.283537
- 2022-01-02 15:59:43,969 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 15:59:43,969 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60888147354126s
- 2022-01-02 15:59:43,969 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 15:59:43,969 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 15:59:43,969 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 414
- 2022-01-02 15:59:59,874 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.292721 Loss2 1.134095
- 2022-01-02 16:00:09,327 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294297, best_loss=0.293774
- 2022-01-02 16:00:14,735 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283304, best_loss=0.283449
- 2022-01-02 16:00:14,753 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:00:14,753 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.78398370742798s
- 2022-01-02 16:00:14,753 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:00:14,753 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:00:14,754 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 415
- 2022-01-02 16:00:30,652 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.278559 Loss2 1.085313
- 2022-01-02 16:00:39,922 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294751, best_loss=0.293774
- 2022-01-02 16:00:45,311 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283149, best_loss=0.283304
- 2022-01-02 16:00:45,329 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:00:45,329 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57488751411438s
- 2022-01-02 16:00:45,329 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:00:45,329 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:00:45,329 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 416
- 2022-01-02 16:01:01,065 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266181 Loss2 0.987815
- 2022-01-02 16:01:10,533 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292834, best_loss=0.293774
- 2022-01-02 16:01:10,552 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:01:15,909 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282865, best_loss=0.283149
- 2022-01-02 16:01:15,928 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:01:15,928 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.598905324935913s
- 2022-01-02 16:01:15,928 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:01:15,928 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:01:15,928 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 417
- 2022-01-02 16:01:31,845 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289058 Loss2 1.023621
- 2022-01-02 16:01:41,110 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294362, best_loss=0.292834
- 2022-01-02 16:01:46,537 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282733, best_loss=0.282865
- 2022-01-02 16:01:46,555 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:01:46,555 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62685227394104s
- 2022-01-02 16:01:46,556 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:01:46,556 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:01:46,556 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 418
- 2022-01-02 16:02:02,429 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285180 Loss2 1.107756
- 2022-01-02 16:02:11,686 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294373, best_loss=0.292834
- 2022-01-02 16:02:17,083 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282685, best_loss=0.282733
- 2022-01-02 16:02:17,101 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:02:17,102 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.546176433563232s
- 2022-01-02 16:02:17,102 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:02:17,102 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:02:17,102 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 419
- 2022-01-02 16:02:32,842 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.277654 Loss2 1.025310
- 2022-01-02 16:02:42,089 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293946, best_loss=0.292834
- 2022-01-02 16:02:47,474 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282522, best_loss=0.282685
- 2022-01-02 16:02:47,503 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:02:47,504 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.402090549468994s
- 2022-01-02 16:02:47,504 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:02:47,504 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:02:47,504 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 420
- 2022-01-02 16:03:03,405 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269598 Loss2 1.093421
- 2022-01-02 16:03:12,680 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294782, best_loss=0.292834
- 2022-01-02 16:03:18,063 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282491, best_loss=0.282522
- 2022-01-02 16:03:18,082 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:03:18,082 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.578158617019653s
- 2022-01-02 16:03:18,082 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:03:18,082 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:03:18,082 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 421
- 2022-01-02 16:03:34,004 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.281639 Loss2 1.112078
- 2022-01-02 16:03:43,272 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293961, best_loss=0.292834
- 2022-01-02 16:03:48,664 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282214, best_loss=0.282491
- 2022-01-02 16:03:48,682 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:03:48,683 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.600062608718872s
- 2022-01-02 16:03:48,683 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:03:48,683 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:03:48,683 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 422
- 2022-01-02 16:04:04,612 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.283457 Loss2 1.050734
- 2022-01-02 16:04:13,854 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293962, best_loss=0.292834
- 2022-01-02 16:04:19,442 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282222, best_loss=0.282214
- 2022-01-02 16:04:19,443 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.759875059127808s
- 2022-01-02 16:04:19,443 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:04:19,443 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:04:19,443 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 423
- 2022-01-02 16:04:35,379 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280183 Loss2 1.022724
- 2022-01-02 16:04:44,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295109, best_loss=0.292834
- 2022-01-02 16:04:50,036 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282157, best_loss=0.282214
- 2022-01-02 16:04:50,054 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:04:50,055 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61135458946228s
- 2022-01-02 16:04:50,055 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:04:50,055 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:04:50,055 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 424
- 2022-01-02 16:05:05,973 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275468 Loss2 0.936424
- 2022-01-02 16:05:15,237 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292709, best_loss=0.292834
- 2022-01-02 16:05:15,255 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:05:20,651 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282175, best_loss=0.282157
- 2022-01-02 16:05:20,652 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59676957130432s
- 2022-01-02 16:05:20,652 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:05:20,652 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:05:20,652 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 425
- 2022-01-02 16:05:36,569 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290920 Loss2 1.045289
- 2022-01-02 16:05:45,845 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.296196, best_loss=0.292709
- 2022-01-02 16:05:51,223 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282111, best_loss=0.282157
- 2022-01-02 16:05:51,242 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:05:51,242 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59002423286438s
- 2022-01-02 16:05:51,242 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:05:51,242 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:05:51,242 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 426
- 2022-01-02 16:06:07,174 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.288752 Loss2 1.082276
- 2022-01-02 16:06:16,377 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293473, best_loss=0.292709
- 2022-01-02 16:06:21,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282000, best_loss=0.282111
- 2022-01-02 16:06:21,671 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:06:21,671 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.429452419281006s
- 2022-01-02 16:06:21,671 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:06:21,671 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:06:21,671 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 427
- 2022-01-02 16:06:37,568 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279971 Loss2 1.062993
- 2022-01-02 16:06:46,815 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294568, best_loss=0.292709
- 2022-01-02 16:06:52,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281872, best_loss=0.282000
- 2022-01-02 16:06:52,221 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:06:52,221 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.54932165145874s
- 2022-01-02 16:06:52,221 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:06:52,221 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:06:52,221 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 428
- 2022-01-02 16:07:08,128 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284115 Loss2 1.170948
- 2022-01-02 16:07:17,401 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292007, best_loss=0.292709
- 2022-01-02 16:07:17,419 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:07:22,796 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281849, best_loss=0.281872
- 2022-01-02 16:07:22,814 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:07:22,815 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.593379020690918s
- 2022-01-02 16:07:22,815 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:07:22,815 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:07:22,815 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 429
- 2022-01-02 16:07:38,729 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260420 Loss2 1.081419
- 2022-01-02 16:07:48,005 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292777, best_loss=0.292007
- 2022-01-02 16:07:53,379 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281735, best_loss=0.281849
- 2022-01-02 16:07:53,398 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:07:53,398 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.583331823349s
- 2022-01-02 16:07:53,398 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:07:53,398 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:07:53,398 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 430
- 2022-01-02 16:08:09,319 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.310989 Loss2 1.147082
- 2022-01-02 16:08:18,782 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294035, best_loss=0.292007
- 2022-01-02 16:08:24,170 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281824, best_loss=0.281735
- 2022-01-02 16:08:24,171 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.77276611328125s
- 2022-01-02 16:08:24,171 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:08:24,171 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:08:24,171 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 431
- 2022-01-02 16:08:40,114 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286343 Loss2 1.005226
- 2022-01-02 16:08:49,370 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293700, best_loss=0.292007
- 2022-01-02 16:08:54,775 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281653, best_loss=0.281735
- 2022-01-02 16:08:54,793 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:08:54,793 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62177562713623s
- 2022-01-02 16:08:54,793 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:08:54,794 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:08:54,794 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 432
- 2022-01-02 16:09:10,720 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298542 Loss2 1.012028
- 2022-01-02 16:09:19,973 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293292, best_loss=0.292007
- 2022-01-02 16:09:25,368 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281620, best_loss=0.281653
- 2022-01-02 16:09:25,386 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:09:25,387 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.593409299850464s
- 2022-01-02 16:09:25,387 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:09:25,387 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:09:25,387 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 433
- 2022-01-02 16:09:41,300 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286833 Loss2 1.128560
- 2022-01-02 16:09:50,571 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293093, best_loss=0.292007
- 2022-01-02 16:09:55,965 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281439, best_loss=0.281620
- 2022-01-02 16:09:55,983 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:09:55,983 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.596168279647827s
- 2022-01-02 16:09:55,983 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:09:55,983 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:09:55,983 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 434
- 2022-01-02 16:10:11,878 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298233 Loss2 1.093619
- 2022-01-02 16:10:21,553 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294821, best_loss=0.292007
- 2022-01-02 16:10:26,929 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281283, best_loss=0.281439
- 2022-01-02 16:10:26,948 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:10:26,948 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.965030193328857s
- 2022-01-02 16:10:26,948 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:10:26,948 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:10:26,948 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 435
- 2022-01-02 16:10:42,875 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.299006 Loss2 1.022293
- 2022-01-02 16:10:52,136 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293487, best_loss=0.292007
- 2022-01-02 16:10:57,536 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280952, best_loss=0.281283
- 2022-01-02 16:10:57,554 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:10:57,554 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.606022596359253s
- 2022-01-02 16:10:57,554 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:10:57,554 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:10:57,554 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 436
- 2022-01-02 16:11:13,484 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293905 Loss2 1.007717
- 2022-01-02 16:11:22,748 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295161, best_loss=0.292007
- 2022-01-02 16:11:28,147 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281000, best_loss=0.280952
- 2022-01-02 16:11:28,147 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592880725860596s
- 2022-01-02 16:11:28,147 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:11:28,147 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:11:28,147 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 437
- 2022-01-02 16:11:44,058 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275025 Loss2 0.971599
- 2022-01-02 16:11:53,327 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293377, best_loss=0.292007
- 2022-01-02 16:11:58,742 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281050, best_loss=0.280952
- 2022-01-02 16:11:58,742 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.595378637313843s
- 2022-01-02 16:11:58,742 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:11:58,742 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:11:58,742 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 438
- 2022-01-02 16:12:14,645 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.291792 Loss2 0.996140
- 2022-01-02 16:12:23,919 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293406, best_loss=0.292007
- 2022-01-02 16:12:29,297 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281031, best_loss=0.280952
- 2022-01-02 16:12:29,298 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.555089473724365s
- 2022-01-02 16:12:29,298 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:12:29,298 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:12:29,298 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 439
- 2022-01-02 16:12:45,253 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.278812 Loss2 1.062803
- 2022-01-02 16:12:54,517 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.295384, best_loss=0.292007
- 2022-01-02 16:12:59,892 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280937, best_loss=0.280952
- 2022-01-02 16:12:59,910 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:12:59,910 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.612664461135864s
- 2022-01-02 16:12:59,910 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:12:59,911 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:12:59,911 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 440
- 2022-01-02 16:13:15,839 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.298012 Loss2 1.163003
- 2022-01-02 16:13:24,908 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293228, best_loss=0.292007
- 2022-01-02 16:13:30,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280976, best_loss=0.280937
- 2022-01-02 16:13:30,204 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.29279899597168s
- 2022-01-02 16:13:30,204 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:13:30,204 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:13:30,204 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 441
- 2022-01-02 16:13:46,036 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289986 Loss2 1.105753
- 2022-01-02 16:13:55,288 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292471, best_loss=0.292007
- 2022-01-02 16:14:00,711 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280852, best_loss=0.280937
- 2022-01-02 16:14:00,731 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:14:00,731 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.527758598327637s
- 2022-01-02 16:14:00,731 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:14:00,731 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:14:00,731 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 442
- 2022-01-02 16:14:16,609 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276287 Loss2 1.018317
- 2022-01-02 16:14:25,882 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291717, best_loss=0.292007
- 2022-01-02 16:14:25,900 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:14:31,271 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280527, best_loss=0.280852
- 2022-01-02 16:14:31,289 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:14:31,289 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55807113647461s
- 2022-01-02 16:14:31,289 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:14:31,290 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:14:31,290 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 443
- 2022-01-02 16:14:47,203 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280917 Loss2 1.126363
- 2022-01-02 16:14:56,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292322, best_loss=0.291717
- 2022-01-02 16:15:01,856 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280394, best_loss=0.280527
- 2022-01-02 16:15:01,874 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:15:01,875 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.584755897521973s
- 2022-01-02 16:15:01,875 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:15:01,875 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:15:01,875 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 444
- 2022-01-02 16:15:17,789 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268618 Loss2 1.009928
- 2022-01-02 16:15:27,053 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.293017, best_loss=0.291717
- 2022-01-02 16:15:32,447 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280488, best_loss=0.280394
- 2022-01-02 16:15:32,447 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57258915901184s
- 2022-01-02 16:15:32,447 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:15:32,447 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:15:32,447 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 445
- 2022-01-02 16:15:48,395 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273077 Loss2 0.986564
- 2022-01-02 16:15:57,654 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292405, best_loss=0.291717
- 2022-01-02 16:16:03,050 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280492, best_loss=0.280394
- 2022-01-02 16:16:03,050 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60317063331604s
- 2022-01-02 16:16:03,050 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:16:03,050 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:16:03,050 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 446
- 2022-01-02 16:16:18,980 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.313033 Loss2 1.158672
- 2022-01-02 16:16:28,240 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.294051, best_loss=0.291717
- 2022-01-02 16:16:33,640 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280289, best_loss=0.280394
- 2022-01-02 16:16:33,658 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:16:33,658 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.607829093933105s
- 2022-01-02 16:16:33,659 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:16:33,659 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:16:33,659 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 447
- 2022-01-02 16:16:49,567 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276958 Loss2 1.143057
- 2022-01-02 16:16:58,838 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290806, best_loss=0.291717
- 2022-01-02 16:16:58,856 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:17:04,225 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280302, best_loss=0.280289
- 2022-01-02 16:17:04,226 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.567289352416992s
- 2022-01-02 16:17:04,226 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:17:04,226 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:17:04,226 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 448
- 2022-01-02 16:17:20,163 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.288496 Loss2 1.113270
- 2022-01-02 16:17:29,425 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291065, best_loss=0.290806
- 2022-01-02 16:17:34,822 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280335, best_loss=0.280289
- 2022-01-02 16:17:34,823 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59663963317871s
- 2022-01-02 16:17:34,823 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:17:34,823 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:17:34,823 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 449
- 2022-01-02 16:17:50,748 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239489 Loss2 0.933886
- 2022-01-02 16:18:00,013 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290903, best_loss=0.290806
- 2022-01-02 16:18:05,397 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280162, best_loss=0.280289
- 2022-01-02 16:18:05,415 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:18:05,416 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59332299232483s
- 2022-01-02 16:18:05,416 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:18:05,416 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:18:05,416 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 450
- 2022-01-02 16:18:21,341 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273396 Loss2 1.030032
- 2022-01-02 16:18:30,596 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291355, best_loss=0.290806
- 2022-01-02 16:18:35,994 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279966, best_loss=0.280162
- 2022-01-02 16:18:36,012 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:18:36,012 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59586477279663s
- 2022-01-02 16:18:36,012 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:18:36,013 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:18:36,013 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 451
- 2022-01-02 16:18:51,942 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286412 Loss2 0.967113
- 2022-01-02 16:19:01,204 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291701, best_loss=0.290806
- 2022-01-02 16:19:06,590 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279902, best_loss=0.279966
- 2022-01-02 16:19:06,609 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:19:06,609 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59604239463806s
- 2022-01-02 16:19:06,609 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:19:06,609 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:19:06,609 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 452
- 2022-01-02 16:19:22,330 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275413 Loss2 1.078487
- 2022-01-02 16:19:31,604 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290531, best_loss=0.290806
- 2022-01-02 16:19:31,622 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:19:36,985 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280266, best_loss=0.279902
- 2022-01-02 16:19:36,985 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37605905532837s
- 2022-01-02 16:19:36,985 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:19:36,985 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:19:36,985 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 453
- 2022-01-02 16:19:52,729 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268533 Loss2 1.067090
- 2022-01-02 16:20:01,995 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290622, best_loss=0.290531
- 2022-01-02 16:20:07,285 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279953, best_loss=0.279902
- 2022-01-02 16:20:07,285 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.299835205078125s
- 2022-01-02 16:20:07,285 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:20:07,285 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:20:07,286 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 454
- 2022-01-02 16:20:23,125 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.312683 Loss2 1.107272
- 2022-01-02 16:20:32,372 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290981, best_loss=0.290531
- 2022-01-02 16:20:37,778 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279875, best_loss=0.279902
- 2022-01-02 16:20:37,798 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:20:37,798 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.51247215270996s
- 2022-01-02 16:20:37,798 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:20:37,798 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:20:37,799 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 455
- 2022-01-02 16:20:53,697 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269985 Loss2 1.129977
- 2022-01-02 16:21:02,961 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292586, best_loss=0.290531
- 2022-01-02 16:21:08,359 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279975, best_loss=0.279875
- 2022-01-02 16:21:08,359 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.560535192489624s
- 2022-01-02 16:21:08,359 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:21:08,359 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:21:08,359 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 456
- 2022-01-02 16:21:24,284 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287438 Loss2 1.079738
- 2022-01-02 16:21:33,554 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292347, best_loss=0.290531
- 2022-01-02 16:21:38,950 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280216, best_loss=0.279875
- 2022-01-02 16:21:38,950 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590417861938477s
- 2022-01-02 16:21:38,950 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:21:38,950 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:21:38,950 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 457
- 2022-01-02 16:21:54,691 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269629 Loss2 0.946099
- 2022-01-02 16:22:03,943 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290499, best_loss=0.290531
- 2022-01-02 16:22:03,962 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:22:09,341 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279860, best_loss=0.279875
- 2022-01-02 16:22:09,360 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:22:09,360 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41013216972351s
- 2022-01-02 16:22:09,361 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:22:09,361 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:22:09,361 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 458
- 2022-01-02 16:22:25,886 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273573 Loss2 1.077024
- 2022-01-02 16:22:35,145 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291032, best_loss=0.290499
- 2022-01-02 16:22:40,530 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279832, best_loss=0.279860
- 2022-01-02 16:22:40,549 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:22:40,549 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.18800139427185s
- 2022-01-02 16:22:40,549 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:22:40,549 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:22:40,549 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 459
- 2022-01-02 16:22:56,463 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.303364 Loss2 1.171949
- 2022-01-02 16:23:05,720 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291107, best_loss=0.290499
- 2022-01-02 16:23:11,113 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279974, best_loss=0.279832
- 2022-01-02 16:23:11,114 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.564500331878662s
- 2022-01-02 16:23:11,114 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:23:11,114 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:23:11,114 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 460
- 2022-01-02 16:23:27,066 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284038 Loss2 0.996642
- 2022-01-02 16:23:36,313 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291300, best_loss=0.290499
- 2022-01-02 16:23:41,701 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279949, best_loss=0.279832
- 2022-01-02 16:23:41,702 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587709426879883s
- 2022-01-02 16:23:41,702 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:23:41,702 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:23:41,702 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 461
- 2022-01-02 16:23:57,635 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293673 Loss2 1.038081
- 2022-01-02 16:24:06,903 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289304, best_loss=0.290499
- 2022-01-02 16:24:06,921 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:24:12,288 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279816, best_loss=0.279832
- 2022-01-02 16:24:12,307 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:24:12,308 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60642719268799s
- 2022-01-02 16:24:12,308 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:24:12,308 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:24:12,308 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 462
- 2022-01-02 16:24:28,241 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.297374 Loss2 1.046919
- 2022-01-02 16:24:37,496 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289781, best_loss=0.289304
- 2022-01-02 16:24:42,898 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279755, best_loss=0.279816
- 2022-01-02 16:24:42,916 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:24:42,917 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.609013080596924s
- 2022-01-02 16:24:42,917 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:24:42,917 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:24:42,917 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 463
- 2022-01-02 16:24:58,836 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269650 Loss2 0.950364
- 2022-01-02 16:25:08,096 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291612, best_loss=0.289304
- 2022-01-02 16:25:13,475 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279516, best_loss=0.279755
- 2022-01-02 16:25:13,492 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:25:13,493 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57599949836731s
- 2022-01-02 16:25:13,493 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:25:13,493 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:25:13,493 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 464
- 2022-01-02 16:25:29,429 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276162 Loss2 1.059749
- 2022-01-02 16:25:38,690 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291902, best_loss=0.289304
- 2022-01-02 16:25:44,068 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279436, best_loss=0.279516
- 2022-01-02 16:25:44,086 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:25:44,087 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59369993209839s
- 2022-01-02 16:25:44,087 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:25:44,087 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:25:44,087 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 465
- 2022-01-02 16:26:00,013 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295278 Loss2 1.133796
- 2022-01-02 16:26:09,275 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291470, best_loss=0.289304
- 2022-01-02 16:26:14,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279467, best_loss=0.279436
- 2022-01-02 16:26:14,653 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56614923477173s
- 2022-01-02 16:26:14,653 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:26:14,653 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:26:14,653 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 466
- 2022-01-02 16:26:30,406 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.296674 Loss2 1.058575
- 2022-01-02 16:26:39,657 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.292165, best_loss=0.289304
- 2022-01-02 16:26:44,972 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279322, best_loss=0.279436
- 2022-01-02 16:26:44,990 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:26:44,990 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.336796522140503s
- 2022-01-02 16:26:44,990 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:26:44,990 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:26:44,990 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 467
- 2022-01-02 16:27:00,801 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274202 Loss2 1.290785
- 2022-01-02 16:27:10,054 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.291197, best_loss=0.289304
- 2022-01-02 16:27:15,441 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279245, best_loss=0.279322
- 2022-01-02 16:27:15,458 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:27:15,459 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46873712539673s
- 2022-01-02 16:27:15,459 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:27:15,459 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:27:15,459 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 468
- 2022-01-02 16:27:31,190 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.292444 Loss2 1.020649
- 2022-01-02 16:27:40,433 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289250, best_loss=0.289304
- 2022-01-02 16:27:40,450 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:27:45,877 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279276, best_loss=0.279245
- 2022-01-02 16:27:45,877 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.418341159820557s
- 2022-01-02 16:27:45,878 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:27:45,878 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:27:45,878 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 469
- 2022-01-02 16:28:01,783 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268834 Loss2 1.088861
- 2022-01-02 16:28:11,235 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289216, best_loss=0.289250
- 2022-01-02 16:28:11,254 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:28:16,629 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279182, best_loss=0.279245
- 2022-01-02 16:28:16,647 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:28:16,648 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.770235300064087s
- 2022-01-02 16:28:16,648 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:28:16,648 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:28:16,648 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 470
- 2022-01-02 16:28:32,566 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266850 Loss2 1.015764
- 2022-01-02 16:28:41,825 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289382, best_loss=0.289216
- 2022-01-02 16:28:47,221 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279218, best_loss=0.279182
- 2022-01-02 16:28:47,221 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.573398113250732s
- 2022-01-02 16:28:47,221 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:28:47,221 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:28:47,221 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 471
- 2022-01-02 16:29:03,153 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255066 Loss2 1.093982
- 2022-01-02 16:29:12,416 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290671, best_loss=0.289216
- 2022-01-02 16:29:17,813 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279028, best_loss=0.279182
- 2022-01-02 16:29:17,832 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:29:17,833 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.611625909805298s
- 2022-01-02 16:29:17,833 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:29:17,833 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:29:17,833 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 472
- 2022-01-02 16:29:33,752 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290753 Loss2 1.144036
- 2022-01-02 16:29:43,003 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290666, best_loss=0.289216
- 2022-01-02 16:29:48,211 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278953, best_loss=0.279028
- 2022-01-02 16:29:48,229 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:29:48,230 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.396836519241333s
- 2022-01-02 16:29:48,230 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:29:48,230 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:29:48,230 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 473
- 2022-01-02 16:30:04,150 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264038 Loss2 0.986015
- 2022-01-02 16:30:13,396 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288841, best_loss=0.289216
- 2022-01-02 16:30:13,414 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:30:18,786 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278976, best_loss=0.278953
- 2022-01-02 16:30:18,787 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.556851387023926s
- 2022-01-02 16:30:18,787 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:30:18,787 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:30:18,787 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 474
- 2022-01-02 16:30:34,540 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289416 Loss2 1.129245
- 2022-01-02 16:30:43,766 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289773, best_loss=0.288841
- 2022-01-02 16:30:48,971 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278931, best_loss=0.278953
- 2022-01-02 16:30:48,988 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:30:48,989 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.20197820663452s
- 2022-01-02 16:30:48,989 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:30:48,989 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:30:48,989 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 475
- 2022-01-02 16:31:04,728 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287118 Loss2 1.032056
- 2022-01-02 16:31:13,996 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289896, best_loss=0.288841
- 2022-01-02 16:31:19,376 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279007, best_loss=0.278931
- 2022-01-02 16:31:19,377 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.388014793395996s
- 2022-01-02 16:31:19,377 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:31:19,377 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:31:19,377 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 476
- 2022-01-02 16:31:35,303 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251071 Loss2 1.023399
- 2022-01-02 16:31:44,571 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289170, best_loss=0.288841
- 2022-01-02 16:31:49,962 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278881, best_loss=0.278931
- 2022-01-02 16:31:49,980 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:31:49,981 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60403800010681s
- 2022-01-02 16:31:49,981 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:31:49,981 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:31:49,981 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 477
- 2022-01-02 16:32:05,702 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264485 Loss2 0.963401
- 2022-01-02 16:32:14,955 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289034, best_loss=0.288841
- 2022-01-02 16:32:20,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278774, best_loss=0.278881
- 2022-01-02 16:32:20,296 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:32:20,296 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31544828414917s
- 2022-01-02 16:32:20,296 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:32:20,296 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:32:20,296 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 478
- 2022-01-02 16:32:36,095 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.294878 Loss2 1.195794
- 2022-01-02 16:32:45,346 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289097, best_loss=0.288841
- 2022-01-02 16:32:50,736 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278704, best_loss=0.278774
- 2022-01-02 16:32:50,754 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:32:50,754 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45818328857422s
- 2022-01-02 16:32:50,754 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:32:50,754 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:32:50,754 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 479
- 2022-01-02 16:33:06,694 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293987 Loss2 1.134935
- 2022-01-02 16:33:15,947 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288610, best_loss=0.288841
- 2022-01-02 16:33:15,965 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:33:21,332 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278802, best_loss=0.278704
- 2022-01-02 16:33:21,333 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57870841026306s
- 2022-01-02 16:33:21,333 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:33:21,333 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:33:21,333 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 480
- 2022-01-02 16:33:37,082 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263484 Loss2 0.988486
- 2022-01-02 16:33:46,331 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288531, best_loss=0.288610
- 2022-01-02 16:33:46,350 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:33:52,117 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278666, best_loss=0.278704
- 2022-01-02 16:33:52,136 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:33:52,136 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.803141832351685s
- 2022-01-02 16:33:52,137 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:33:52,137 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:33:52,137 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 481
- 2022-01-02 16:34:08,055 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275324 Loss2 1.063856
- 2022-01-02 16:34:17,317 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.299471, best_loss=0.288531
- 2022-01-02 16:34:22,514 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278646, best_loss=0.278666
- 2022-01-02 16:34:22,532 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:34:22,532 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.395406484603882s
- 2022-01-02 16:34:22,533 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:34:22,533 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:34:22,533 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 482
- 2022-01-02 16:34:38,470 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273891 Loss2 1.026474
- 2022-01-02 16:34:47,711 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288521, best_loss=0.288531
- 2022-01-02 16:34:47,729 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:34:53,119 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278635, best_loss=0.278646
- 2022-01-02 16:34:53,137 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:34:53,138 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.605273723602295s
- 2022-01-02 16:34:53,138 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:34:53,138 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:34:53,138 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 483
- 2022-01-02 16:35:09,056 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274055 Loss2 1.013179
- 2022-01-02 16:35:18,307 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289042, best_loss=0.288521
- 2022-01-02 16:35:23,702 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278569, best_loss=0.278635
- 2022-01-02 16:35:23,720 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:35:23,720 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58231234550476s
- 2022-01-02 16:35:23,720 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:35:23,720 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:35:23,720 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 484
- 2022-01-02 16:35:39,635 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264475 Loss2 1.050519
- 2022-01-02 16:35:48,921 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287864, best_loss=0.288521
- 2022-01-02 16:35:48,940 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:35:54,289 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278309, best_loss=0.278569
- 2022-01-02 16:35:54,307 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:35:54,308 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587815284729004s
- 2022-01-02 16:35:54,308 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:35:54,308 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:35:54,308 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 485
- 2022-01-02 16:36:10,034 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.289185 Loss2 1.097299
- 2022-01-02 16:36:19,282 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289919, best_loss=0.287864
- 2022-01-02 16:36:24,677 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278076, best_loss=0.278309
- 2022-01-02 16:36:24,695 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:36:24,695 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.387137413024902s
- 2022-01-02 16:36:24,695 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:36:24,695 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:36:24,695 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 486
- 2022-01-02 16:36:40,619 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275912 Loss2 1.254342
- 2022-01-02 16:36:49,897 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288319, best_loss=0.287864
- 2022-01-02 16:36:55,292 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278269, best_loss=0.278076
- 2022-01-02 16:36:55,293 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.597571849822998s
- 2022-01-02 16:36:55,293 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:36:55,293 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:36:55,293 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 487
- 2022-01-02 16:37:11,225 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274501 Loss2 1.085283
- 2022-01-02 16:37:20,458 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288386, best_loss=0.287864
- 2022-01-02 16:37:25,898 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278345, best_loss=0.278076
- 2022-01-02 16:37:25,898 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.605229139328003s
- 2022-01-02 16:37:25,899 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:37:25,899 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:37:25,899 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 488
- 2022-01-02 16:37:41,620 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.330680 Loss2 1.140098
- 2022-01-02 16:37:50,883 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288157, best_loss=0.287864
- 2022-01-02 16:37:56,182 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278257, best_loss=0.278076
- 2022-01-02 16:37:56,182 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.28315806388855s
- 2022-01-02 16:37:56,182 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:37:56,182 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:37:56,182 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 489
- 2022-01-02 16:38:12,003 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274894 Loss2 0.978446
- 2022-01-02 16:38:21,248 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.290241, best_loss=0.287864
- 2022-01-02 16:38:26,850 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278310, best_loss=0.278076
- 2022-01-02 16:38:26,851 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.668550968170166s
- 2022-01-02 16:38:26,851 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:38:26,851 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:38:26,851 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 490
- 2022-01-02 16:38:42,778 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.283010 Loss2 1.078206
- 2022-01-02 16:38:52,053 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287715, best_loss=0.287864
- 2022-01-02 16:38:52,072 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:38:57,390 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278121, best_loss=0.278076
- 2022-01-02 16:38:57,390 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.539906978607178s
- 2022-01-02 16:38:57,390 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:38:57,390 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:38:57,390 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 491
- 2022-01-02 16:39:13,184 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290288 Loss2 1.142895
- 2022-01-02 16:39:22,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288636, best_loss=0.287715
- 2022-01-02 16:39:27,828 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278247, best_loss=0.278076
- 2022-01-02 16:39:27,829 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.43833589553833s
- 2022-01-02 16:39:27,829 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:39:27,829 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:39:27,829 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 492
- 2022-01-02 16:39:43,569 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249898 Loss2 0.982914
- 2022-01-02 16:39:52,821 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288116, best_loss=0.287715
- 2022-01-02 16:39:58,216 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277964, best_loss=0.278076
- 2022-01-02 16:39:58,234 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:39:58,235 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40611743927002s
- 2022-01-02 16:39:58,235 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:39:58,235 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:39:58,235 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 493
- 2022-01-02 16:40:14,143 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275093 Loss2 1.100463
- 2022-01-02 16:40:23,404 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286906, best_loss=0.287715
- 2022-01-02 16:40:23,422 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:40:29,033 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277839, best_loss=0.277964
- 2022-01-02 16:40:29,051 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:40:29,051 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.816118717193604s
- 2022-01-02 16:40:29,052 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:40:29,052 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:40:29,052 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 494
- 2022-01-02 16:40:44,756 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285331 Loss2 1.141622
- 2022-01-02 16:40:54,011 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288299, best_loss=0.286906
- 2022-01-02 16:40:59,397 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277899, best_loss=0.277839
- 2022-01-02 16:40:59,398 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.34635353088379s
- 2022-01-02 16:40:59,398 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:40:59,398 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:40:59,398 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 495
- 2022-01-02 16:41:15,145 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256769 Loss2 1.066896
- 2022-01-02 16:41:24,601 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289753, best_loss=0.286906
- 2022-01-02 16:41:29,996 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277743, best_loss=0.277839
- 2022-01-02 16:41:30,014 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:41:30,015 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.616442680358887s
- 2022-01-02 16:41:30,015 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:41:30,015 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:41:30,015 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 496
- 2022-01-02 16:41:45,920 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273596 Loss2 1.208175
- 2022-01-02 16:41:55,183 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288856, best_loss=0.286906
- 2022-01-02 16:42:00,619 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277589, best_loss=0.277743
- 2022-01-02 16:42:00,637 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:42:00,638 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.622544527053833s
- 2022-01-02 16:42:00,638 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:42:00,638 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:42:00,638 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 497
- 2022-01-02 16:42:16,531 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260077 Loss2 1.078936
- 2022-01-02 16:42:25,766 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287483, best_loss=0.286906
- 2022-01-02 16:42:31,207 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277488, best_loss=0.277589
- 2022-01-02 16:42:31,225 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:42:31,226 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587693691253662s
- 2022-01-02 16:42:31,226 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:42:31,226 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:42:31,226 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 498
- 2022-01-02 16:42:47,308 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249303 Loss2 0.991588
- 2022-01-02 16:42:56,762 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288030, best_loss=0.286906
- 2022-01-02 16:43:01,967 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277543, best_loss=0.277488
- 2022-01-02 16:43:01,968 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.741193771362305s
- 2022-01-02 16:43:01,968 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:43:01,968 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:43:01,968 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 499
- 2022-01-02 16:43:17,707 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279478 Loss2 1.099242
- 2022-01-02 16:43:26,971 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286492, best_loss=0.286906
- 2022-01-02 16:43:26,989 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:43:32,350 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277670, best_loss=0.277488
- 2022-01-02 16:43:32,350 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.382324695587158s
- 2022-01-02 16:43:32,350 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:43:32,350 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:43:32,350 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 500
- 2022-01-02 16:43:48,297 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.290739 Loss2 1.118550
- 2022-01-02 16:43:57,553 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287843, best_loss=0.286492
- 2022-01-02 16:44:02,955 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277738, best_loss=0.277488
- 2022-01-02 16:44:02,955 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60520076751709s
- 2022-01-02 16:44:02,955 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:44:02,955 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:44:02,955 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 501
- 2022-01-02 16:44:18,886 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280549 Loss2 1.146671
- 2022-01-02 16:44:28,137 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289131, best_loss=0.286492
- 2022-01-02 16:44:33,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277697, best_loss=0.277488
- 2022-01-02 16:44:33,574 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61850118637085s
- 2022-01-02 16:44:33,574 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:44:33,574 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:44:33,574 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 502
- 2022-01-02 16:44:49,475 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263805 Loss2 1.009625
- 2022-01-02 16:44:58,735 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287726, best_loss=0.286492
- 2022-01-02 16:45:04,126 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277619, best_loss=0.277488
- 2022-01-02 16:45:04,127 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.552305221557617s
- 2022-01-02 16:45:04,127 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:45:04,127 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:45:04,127 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 503
- 2022-01-02 16:45:19,873 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253517 Loss2 0.989353
- 2022-01-02 16:45:29,046 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287334, best_loss=0.286492
- 2022-01-02 16:45:34,326 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277541, best_loss=0.277488
- 2022-01-02 16:45:34,326 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.199718713760376s
- 2022-01-02 16:45:34,326 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:45:34,326 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:45:34,326 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 504
- 2022-01-02 16:45:50,066 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.277904 Loss2 0.996341
- 2022-01-02 16:45:59,312 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287462, best_loss=0.286492
- 2022-01-02 16:46:04,705 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277569, best_loss=0.277488
- 2022-01-02 16:46:04,706 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.379306077957153s
- 2022-01-02 16:46:04,706 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:46:04,706 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:46:04,706 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 505
- 2022-01-02 16:46:20,647 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.272428 Loss2 1.037468
- 2022-01-02 16:46:29,911 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286350, best_loss=0.286492
- 2022-01-02 16:46:29,938 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:46:35,298 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277514, best_loss=0.277488
- 2022-01-02 16:46:35,298 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592508792877197s
- 2022-01-02 16:46:35,298 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:46:35,298 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:46:35,298 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 506
- 2022-01-02 16:46:51,247 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.291321 Loss2 1.047213
- 2022-01-02 16:47:00,502 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288003, best_loss=0.286350
- 2022-01-02 16:47:05,887 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277561, best_loss=0.277488
- 2022-01-02 16:47:05,888 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589979887008667s
- 2022-01-02 16:47:05,888 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:47:05,888 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:47:05,888 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 507
- 2022-01-02 16:47:21,633 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.302971 Loss2 1.145272
- 2022-01-02 16:47:30,892 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286587, best_loss=0.286350
- 2022-01-02 16:47:36,214 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277572, best_loss=0.277488
- 2022-01-02 16:47:36,215 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.32671546936035s
- 2022-01-02 16:47:36,215 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:47:36,215 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:47:36,215 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 508
- 2022-01-02 16:47:52,010 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269233 Loss2 1.050126
- 2022-01-02 16:48:01,282 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287296, best_loss=0.286350
- 2022-01-02 16:48:06,676 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277488, best_loss=0.277488
- 2022-01-02 16:48:06,677 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.461228847503662s
- 2022-01-02 16:48:06,677 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:48:06,677 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:48:06,677 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 509
- 2022-01-02 16:48:22,605 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275257 Loss2 1.016474
- 2022-01-02 16:48:31,864 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287930, best_loss=0.286350
- 2022-01-02 16:48:37,263 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277571, best_loss=0.277488
- 2022-01-02 16:48:37,264 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58705997467041s
- 2022-01-02 16:48:37,264 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:48:37,264 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:48:37,264 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 510
- 2022-01-02 16:48:53,195 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.281305 Loss2 1.130269
- 2022-01-02 16:49:02,448 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287672, best_loss=0.286350
- 2022-01-02 16:49:07,854 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277729, best_loss=0.277488
- 2022-01-02 16:49:07,855 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59063196182251s
- 2022-01-02 16:49:07,855 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:49:07,855 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:49:07,855 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 511
- 2022-01-02 16:49:23,597 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285086 Loss2 1.082677
- 2022-01-02 16:49:32,851 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287341, best_loss=0.286350
- 2022-01-02 16:49:38,243 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277518, best_loss=0.277488
- 2022-01-02 16:49:38,244 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.388488054275513s
- 2022-01-02 16:49:38,244 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:49:38,244 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:49:38,244 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 512
- 2022-01-02 16:49:53,987 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271262 Loss2 1.042593
- 2022-01-02 16:50:03,440 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.309380, best_loss=0.286350
- 2022-01-02 16:50:08,866 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277391, best_loss=0.277488
- 2022-01-02 16:50:08,885 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:50:08,885 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.641301155090332s
- 2022-01-02 16:50:08,885 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:50:08,885 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:50:08,885 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 513
- 2022-01-02 16:50:24,783 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279623 Loss2 1.099731
- 2022-01-02 16:50:34,046 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.288973, best_loss=0.286350
- 2022-01-02 16:50:39,426 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277396, best_loss=0.277391
- 2022-01-02 16:50:39,426 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.541332483291626s
- 2022-01-02 16:50:39,426 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:50:39,426 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:50:39,427 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 514
- 2022-01-02 16:50:55,368 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.278628 Loss2 1.010914
- 2022-01-02 16:51:04,613 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286182, best_loss=0.286350
- 2022-01-02 16:51:04,631 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:51:10,062 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277261, best_loss=0.277391
- 2022-01-02 16:51:10,080 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:51:10,081 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.65404486656189s
- 2022-01-02 16:51:10,081 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:51:10,081 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:51:10,081 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 515
- 2022-01-02 16:51:25,962 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.278134 Loss2 0.988031
- 2022-01-02 16:51:35,211 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285953, best_loss=0.286182
- 2022-01-02 16:51:35,230 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:51:40,600 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277363, best_loss=0.277261
- 2022-01-02 16:51:40,600 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.519357204437256s
- 2022-01-02 16:51:40,600 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:51:40,600 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:51:40,600 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 516
- 2022-01-02 16:51:56,547 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280394 Loss2 1.078876
- 2022-01-02 16:52:05,807 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285471, best_loss=0.285953
- 2022-01-02 16:52:05,826 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:52:11,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277071, best_loss=0.277261
- 2022-01-02 16:52:11,221 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:52:11,221 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.620758056640625s
- 2022-01-02 16:52:11,221 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:52:11,222 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:52:11,222 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 517
- 2022-01-02 16:52:26,950 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.296470 Loss2 1.084771
- 2022-01-02 16:52:36,121 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285999, best_loss=0.285471
- 2022-01-02 16:52:41,404 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276874, best_loss=0.277071
- 2022-01-02 16:52:41,422 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:52:41,422 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.200849533081055s
- 2022-01-02 16:52:41,423 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:52:41,423 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:52:41,423 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 518
- 2022-01-02 16:52:57,352 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285344 Loss2 1.033068
- 2022-01-02 16:53:06,597 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285943, best_loss=0.285471
- 2022-01-02 16:53:11,774 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276727, best_loss=0.276874
- 2022-01-02 16:53:11,792 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:53:11,793 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.369722843170166s
- 2022-01-02 16:53:11,793 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:53:11,793 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:53:11,793 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 519
- 2022-01-02 16:53:27,533 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295196 Loss2 1.076372
- 2022-01-02 16:53:36,778 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285629, best_loss=0.285471
- 2022-01-02 16:53:42,097 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276634, best_loss=0.276727
- 2022-01-02 16:53:42,114 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:53:42,115 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.322017669677734s
- 2022-01-02 16:53:42,115 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:53:42,115 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:53:42,115 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 520
- 2022-01-02 16:53:57,927 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260654 Loss2 1.100695
- 2022-01-02 16:54:07,182 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285773, best_loss=0.285471
- 2022-01-02 16:54:12,580 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276415, best_loss=0.276634
- 2022-01-02 16:54:12,598 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:54:12,599 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.483773946762085s
- 2022-01-02 16:54:12,599 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:54:12,599 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:54:12,599 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 521
- 2022-01-02 16:54:28,506 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.295198 Loss2 1.078682
- 2022-01-02 16:54:37,770 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285294, best_loss=0.285471
- 2022-01-02 16:54:37,788 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:54:43,160 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276419, best_loss=0.276415
- 2022-01-02 16:54:43,161 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.561423301696777s
- 2022-01-02 16:54:43,161 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:54:43,161 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:54:43,161 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 522
- 2022-01-02 16:54:59,091 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.297604 Loss2 1.104113
- 2022-01-02 16:55:08,348 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287471, best_loss=0.285294
- 2022-01-02 16:55:13,567 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276467, best_loss=0.276415
- 2022-01-02 16:55:13,567 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.406444311141968s
- 2022-01-02 16:55:13,567 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:55:13,567 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:55:13,567 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 523
- 2022-01-02 16:55:29,480 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293449 Loss2 1.070592
- 2022-01-02 16:55:38,746 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285450, best_loss=0.285294
- 2022-01-02 16:55:44,137 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276372, best_loss=0.276415
- 2022-01-02 16:55:44,155 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:55:44,155 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587948322296143s
- 2022-01-02 16:55:44,155 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:55:44,155 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:55:44,156 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 524
- 2022-01-02 16:56:00,083 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249688 Loss2 0.881290
- 2022-01-02 16:56:09,333 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285441, best_loss=0.285294
- 2022-01-02 16:56:14,741 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276280, best_loss=0.276372
- 2022-01-02 16:56:14,760 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:56:14,760 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.604616165161133s
- 2022-01-02 16:56:14,760 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:56:14,760 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:56:14,761 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 525
- 2022-01-02 16:56:30,474 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259243 Loss2 0.945113
- 2022-01-02 16:56:39,726 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286588, best_loss=0.285294
- 2022-01-02 16:56:45,059 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276250, best_loss=0.276280
- 2022-01-02 16:56:45,077 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:56:45,078 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.316716194152832s
- 2022-01-02 16:56:45,078 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:56:45,078 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:56:45,078 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 526
- 2022-01-02 16:57:00,863 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.288990 Loss2 1.172888
- 2022-01-02 16:57:10,128 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286041, best_loss=0.285294
- 2022-01-02 16:57:15,509 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276422, best_loss=0.276250
- 2022-01-02 16:57:15,509 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.431517839431763s
- 2022-01-02 16:57:15,509 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:57:15,509 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:57:15,509 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 527
- 2022-01-02 16:57:31,264 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.272980 Loss2 1.124450
- 2022-01-02 16:57:40,497 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.286937, best_loss=0.285294
- 2022-01-02 16:57:45,928 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276557, best_loss=0.276250
- 2022-01-02 16:57:45,928 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41862177848816s
- 2022-01-02 16:57:45,928 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:57:45,929 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:57:45,929 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 528
- 2022-01-02 16:58:01,831 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271870 Loss2 1.036601
- 2022-01-02 16:58:11,109 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285037, best_loss=0.285294
- 2022-01-02 16:58:11,127 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:58:16,488 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276696, best_loss=0.276250
- 2022-01-02 16:58:16,489 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.560041666030884s
- 2022-01-02 16:58:16,489 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:58:16,489 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:58:16,489 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 529
- 2022-01-02 16:58:32,238 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265385 Loss2 1.059442
- 2022-01-02 16:58:41,410 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287373, best_loss=0.285037
- 2022-01-02 16:58:46,689 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276498, best_loss=0.276250
- 2022-01-02 16:58:46,689 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.200308084487915s
- 2022-01-02 16:58:46,689 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:58:46,689 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:58:46,689 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 530
- 2022-01-02 16:59:02,608 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279587 Loss2 1.058749
- 2022-01-02 16:59:11,875 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287659, best_loss=0.285037
- 2022-01-02 16:59:17,116 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276533, best_loss=0.276250
- 2022-01-02 16:59:17,116 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.42696523666382s
- 2022-01-02 16:59:17,116 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:59:17,116 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:59:17,117 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 531
- 2022-01-02 16:59:33,009 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.278353 Loss2 1.137720
- 2022-01-02 16:59:42,280 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284667, best_loss=0.285037
- 2022-01-02 16:59:42,297 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 16:59:47,663 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276649, best_loss=0.276250
- 2022-01-02 16:59:47,663 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.546632528305054s
- 2022-01-02 16:59:47,663 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 16:59:47,663 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 16:59:47,663 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 532
- 2022-01-02 17:00:03,410 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266539 Loss2 1.017282
- 2022-01-02 17:00:12,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285151, best_loss=0.284667
- 2022-01-02 17:00:17,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276349, best_loss=0.276250
- 2022-01-02 17:00:17,840 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.176830291748047s
- 2022-01-02 17:00:17,840 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:00:17,840 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:00:17,840 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 533
- 2022-01-02 17:00:33,603 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268799 Loss2 0.959150
- 2022-01-02 17:00:43,255 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287306, best_loss=0.284667
- 2022-01-02 17:00:48,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276408, best_loss=0.276250
- 2022-01-02 17:00:48,573 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.733073711395264s
- 2022-01-02 17:00:48,574 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:00:48,574 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:00:48,574 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 534
- 2022-01-02 17:01:04,388 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256311 Loss2 1.043892
- 2022-01-02 17:01:13,639 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285491, best_loss=0.284667
- 2022-01-02 17:01:19,064 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276395, best_loss=0.276250
- 2022-01-02 17:01:19,064 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.490841150283813s
- 2022-01-02 17:01:19,064 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:01:19,064 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:01:19,064 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 535
- 2022-01-02 17:01:34,780 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269812 Loss2 1.055236
- 2022-01-02 17:01:44,064 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284924, best_loss=0.284667
- 2022-01-02 17:01:49,428 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276421, best_loss=0.276250
- 2022-01-02 17:01:49,428 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.3637273311615s
- 2022-01-02 17:01:49,428 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:01:49,428 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:01:49,429 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 536
- 2022-01-02 17:02:05,172 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258424 Loss2 1.017870
- 2022-01-02 17:02:14,415 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285271, best_loss=0.284667
- 2022-01-02 17:02:19,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276239, best_loss=0.276250
- 2022-01-02 17:02:19,752 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:02:19,752 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.323445081710815s
- 2022-01-02 17:02:19,752 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:02:19,752 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:02:19,752 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 537
- 2022-01-02 17:02:35,568 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286161 Loss2 1.106294
- 2022-01-02 17:02:44,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285306, best_loss=0.284667
- 2022-01-02 17:02:50,216 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276324, best_loss=0.276239
- 2022-01-02 17:02:50,216 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.463538646697998s
- 2022-01-02 17:02:50,216 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:02:50,217 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:02:50,217 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 538
- 2022-01-02 17:03:05,958 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273127 Loss2 1.114193
- 2022-01-02 17:03:15,209 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285618, best_loss=0.284667
- 2022-01-02 17:03:20,602 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276184, best_loss=0.276239
- 2022-01-02 17:03:20,620 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:03:20,621 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40398073196411s
- 2022-01-02 17:03:20,621 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:03:20,621 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:03:20,621 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 539
- 2022-01-02 17:03:36,350 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258454 Loss2 1.044452
- 2022-01-02 17:03:45,574 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285626, best_loss=0.284667
- 2022-01-02 17:03:50,906 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276213, best_loss=0.276184
- 2022-01-02 17:03:50,906 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.285528659820557s
- 2022-01-02 17:03:50,907 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:03:50,907 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:03:50,907 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 540
- 2022-01-02 17:04:06,749 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287192 Loss2 1.043681
- 2022-01-02 17:04:15,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285586, best_loss=0.284667
- 2022-01-02 17:04:21,382 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276266, best_loss=0.276184
- 2022-01-02 17:04:21,383 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.47598958015442s
- 2022-01-02 17:04:21,383 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:04:21,383 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:04:21,383 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 541
- 2022-01-02 17:04:37,125 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258070 Loss2 1.130542
- 2022-01-02 17:04:46,383 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285530, best_loss=0.284667
- 2022-01-02 17:04:51,582 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276436, best_loss=0.276184
- 2022-01-02 17:04:51,583 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.20011615753174s
- 2022-01-02 17:04:51,583 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:04:51,583 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:04:51,583 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 542
- 2022-01-02 17:05:07,505 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261601 Loss2 0.953808
- 2022-01-02 17:05:16,757 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285044, best_loss=0.284667
- 2022-01-02 17:05:21,958 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276514, best_loss=0.276184
- 2022-01-02 17:05:21,959 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.375547647476196s
- 2022-01-02 17:05:21,959 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:05:21,959 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:05:21,959 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 543
- 2022-01-02 17:05:37,708 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258360 Loss2 1.074531
- 2022-01-02 17:05:46,960 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285052, best_loss=0.284667
- 2022-01-02 17:05:52,351 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276316, best_loss=0.276184
- 2022-01-02 17:05:52,351 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.391963720321655s
- 2022-01-02 17:05:52,351 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:05:52,351 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:05:52,351 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 544
- 2022-01-02 17:06:08,288 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.283652 Loss2 1.054097
- 2022-01-02 17:06:17,359 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284209, best_loss=0.284667
- 2022-01-02 17:06:17,378 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:06:22,681 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276218, best_loss=0.276184
- 2022-01-02 17:06:22,682 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.33035707473755s
- 2022-01-02 17:06:22,682 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:06:22,682 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:06:22,682 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 545
- 2022-01-02 17:06:38,498 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275625 Loss2 1.031921
- 2022-01-02 17:06:47,745 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284619, best_loss=0.284209
- 2022-01-02 17:06:53,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276065, best_loss=0.276184
- 2022-01-02 17:06:53,353 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:06:53,353 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.671520471572876s
- 2022-01-02 17:06:53,353 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:06:53,353 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:06:53,353 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 546
- 2022-01-02 17:07:09,086 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.283182 Loss2 1.062895
- 2022-01-02 17:07:18,335 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284227, best_loss=0.284209
- 2022-01-02 17:07:23,545 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276065, best_loss=0.276065
- 2022-01-02 17:07:23,563 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:07:23,564 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.21062922477722s
- 2022-01-02 17:07:23,564 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:07:23,564 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:07:23,564 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 547
- 2022-01-02 17:07:39,423 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251234 Loss2 1.060267
- 2022-01-02 17:07:48,715 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285137, best_loss=0.284209
- 2022-01-02 17:07:54,154 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275844, best_loss=0.276065
- 2022-01-02 17:07:54,171 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:07:54,172 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60810685157776s
- 2022-01-02 17:07:54,172 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:07:54,172 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:07:54,172 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 548
- 2022-01-02 17:08:10,058 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284747 Loss2 1.043616
- 2022-01-02 17:08:19,313 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284272, best_loss=0.284209
- 2022-01-02 17:08:24,704 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275783, best_loss=0.275844
- 2022-01-02 17:08:24,722 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:08:24,723 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.550580739974976s
- 2022-01-02 17:08:24,723 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:08:24,723 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:08:24,723 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 549
- 2022-01-02 17:08:40,453 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255821 Loss2 1.050249
- 2022-01-02 17:08:49,697 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284821, best_loss=0.284209
- 2022-01-02 17:08:54,890 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276046, best_loss=0.275783
- 2022-01-02 17:08:54,891 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.16777992248535s
- 2022-01-02 17:08:54,891 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:08:54,891 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:08:54,891 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 550
- 2022-01-02 17:09:10,644 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240864 Loss2 1.023813
- 2022-01-02 17:09:19,900 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284414, best_loss=0.284209
- 2022-01-02 17:09:25,291 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276013, best_loss=0.275783
- 2022-01-02 17:09:25,292 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.400602340698242s
- 2022-01-02 17:09:25,292 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:09:25,292 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:09:25,292 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 551
- 2022-01-02 17:09:41,042 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273832 Loss2 1.152213
- 2022-01-02 17:09:50,294 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285459, best_loss=0.284209
- 2022-01-02 17:09:55,475 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276101, best_loss=0.275783
- 2022-01-02 17:09:55,476 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18346118927002s
- 2022-01-02 17:09:55,476 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:09:55,476 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:09:55,476 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 552
- 2022-01-02 17:10:11,233 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259447 Loss2 1.091441
- 2022-01-02 17:10:20,471 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284941, best_loss=0.284209
- 2022-01-02 17:10:25,902 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276224, best_loss=0.275783
- 2022-01-02 17:10:25,902 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.426541328430176s
- 2022-01-02 17:10:25,902 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:10:25,902 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:10:25,902 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 553
- 2022-01-02 17:10:41,814 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269649 Loss2 1.053468
- 2022-01-02 17:10:51,066 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284196, best_loss=0.284209
- 2022-01-02 17:10:51,085 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:10:56,500 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276139, best_loss=0.275783
- 2022-01-02 17:10:56,500 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.598026514053345s
- 2022-01-02 17:10:56,500 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:10:56,500 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:10:56,500 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 554
- 2022-01-02 17:11:12,396 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275389 Loss2 1.086499
- 2022-01-02 17:11:21,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284430, best_loss=0.284196
- 2022-01-02 17:11:27,060 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276323, best_loss=0.275783
- 2022-01-02 17:11:27,061 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.560184478759766s
- 2022-01-02 17:11:27,061 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:11:27,061 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:11:27,061 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 555
- 2022-01-02 17:11:42,809 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253498 Loss2 0.964121
- 2022-01-02 17:11:52,038 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284367, best_loss=0.284196
- 2022-01-02 17:11:57,239 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276127, best_loss=0.275783
- 2022-01-02 17:11:57,240 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.179243087768555s
- 2022-01-02 17:11:57,240 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:11:57,240 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:11:57,240 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 556
- 2022-01-02 17:12:12,991 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286143 Loss2 1.088211
- 2022-01-02 17:12:22,249 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285690, best_loss=0.284196
- 2022-01-02 17:12:27,452 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276360, best_loss=0.275783
- 2022-01-02 17:12:27,453 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.212430953979492s
- 2022-01-02 17:12:27,453 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:12:27,453 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:12:27,453 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 557
- 2022-01-02 17:12:43,182 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273849 Loss2 1.163844
- 2022-01-02 17:12:52,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.289282, best_loss=0.284196
- 2022-01-02 17:12:57,818 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276422, best_loss=0.275783
- 2022-01-02 17:12:57,819 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.36544919013977s
- 2022-01-02 17:12:57,819 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:12:57,819 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:12:57,819 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 558
- 2022-01-02 17:13:13,577 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.287998 Loss2 1.113095
- 2022-01-02 17:13:22,826 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.287685, best_loss=0.284196
- 2022-01-02 17:13:28,222 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276560, best_loss=0.275783
- 2022-01-02 17:13:28,223 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40407633781433s
- 2022-01-02 17:13:28,223 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:13:28,223 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:13:28,223 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 559
- 2022-01-02 17:13:44,159 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276924 Loss2 1.212759
- 2022-01-02 17:13:53,410 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284185, best_loss=0.284196
- 2022-01-02 17:13:53,428 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:13:58,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276398, best_loss=0.275783
- 2022-01-02 17:13:58,840 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.616774797439575s
- 2022-01-02 17:13:58,840 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:13:58,840 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:13:58,840 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 560
- 2022-01-02 17:14:14,559 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.283710 Loss2 1.081591
- 2022-01-02 17:14:23,785 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284091, best_loss=0.284185
- 2022-01-02 17:14:23,803 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:14:29,000 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276338, best_loss=0.275783
- 2022-01-02 17:14:29,000 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.160164833068848s
- 2022-01-02 17:14:29,000 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:14:29,000 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:14:29,000 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 561
- 2022-01-02 17:14:44,752 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271544 Loss2 1.068302
- 2022-01-02 17:14:54,002 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285158, best_loss=0.284091
- 2022-01-02 17:14:59,393 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276252, best_loss=0.275783
- 2022-01-02 17:14:59,393 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.392221927642822s
- 2022-01-02 17:14:59,393 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:14:59,393 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:14:59,393 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 562
- 2022-01-02 17:15:15,139 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266607 Loss2 1.076570
- 2022-01-02 17:15:24,381 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285456, best_loss=0.284091
- 2022-01-02 17:15:29,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276272, best_loss=0.275783
- 2022-01-02 17:15:29,699 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.305786848068237s
- 2022-01-02 17:15:29,699 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:15:29,699 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:15:29,699 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 563
- 2022-01-02 17:15:45,521 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286012 Loss2 1.143539
- 2022-01-02 17:15:54,782 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283287, best_loss=0.284091
- 2022-01-02 17:15:54,800 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:16:00,198 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276358, best_loss=0.275783
- 2022-01-02 17:16:00,199 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.499882698059082s
- 2022-01-02 17:16:00,199 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:16:00,199 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:16:00,199 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 564
- 2022-01-02 17:16:15,925 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255171 Loss2 0.975283
- 2022-01-02 17:16:25,185 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.285250, best_loss=0.283287
- 2022-01-02 17:16:30,570 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276281, best_loss=0.275783
- 2022-01-02 17:16:30,571 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.371466636657715s
- 2022-01-02 17:16:30,571 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:16:30,571 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:16:30,571 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 565
- 2022-01-02 17:16:46,499 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268159 Loss2 1.087212
- 2022-01-02 17:16:55,763 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282601, best_loss=0.283287
- 2022-01-02 17:16:55,781 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:17:01,184 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276332, best_loss=0.275783
- 2022-01-02 17:17:01,184 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.613765478134155s
- 2022-01-02 17:17:01,184 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:17:01,184 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:17:01,184 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 566
- 2022-01-02 17:17:17,093 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255832 Loss2 0.950111
- 2022-01-02 17:17:26,355 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283796, best_loss=0.282601
- 2022-01-02 17:17:31,740 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276242, best_loss=0.275783
- 2022-01-02 17:17:31,741 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55608296394348s
- 2022-01-02 17:17:31,741 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:17:31,741 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:17:31,741 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 567
- 2022-01-02 17:17:47,682 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.312325 Loss2 1.124293
- 2022-01-02 17:17:56,940 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283316, best_loss=0.282601
- 2022-01-02 17:18:02,336 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276411, best_loss=0.275783
- 2022-01-02 17:18:02,336 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59539294242859s
- 2022-01-02 17:18:02,336 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:18:02,336 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:18:02,337 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 568
- 2022-01-02 17:18:18,085 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261292 Loss2 1.032924
- 2022-01-02 17:18:27,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283890, best_loss=0.282601
- 2022-01-02 17:18:32,523 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276479, best_loss=0.275783
- 2022-01-02 17:18:32,524 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18671464920044s
- 2022-01-02 17:18:32,524 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:18:32,524 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:18:32,524 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 569
- 2022-01-02 17:18:48,278 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245837 Loss2 1.013691
- 2022-01-02 17:18:57,526 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284103, best_loss=0.282601
- 2022-01-02 17:19:02,917 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276254, best_loss=0.275783
- 2022-01-02 17:19:02,918 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.393537282943726s
- 2022-01-02 17:19:02,918 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:19:02,918 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:19:02,918 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 570
- 2022-01-02 17:19:18,858 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.262015 Loss2 1.064954
- 2022-01-02 17:19:28,119 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284038, best_loss=0.282601
- 2022-01-02 17:19:33,506 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276183, best_loss=0.275783
- 2022-01-02 17:19:33,507 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.588937997817993s
- 2022-01-02 17:19:33,507 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:19:33,507 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:19:33,507 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 571
- 2022-01-02 17:19:49,257 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.270505 Loss2 1.158326
- 2022-01-02 17:19:58,489 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284394, best_loss=0.282601
- 2022-01-02 17:20:03,817 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276209, best_loss=0.275783
- 2022-01-02 17:20:03,817 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.310396432876587s
- 2022-01-02 17:20:03,817 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:20:03,817 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:20:03,817 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 572
- 2022-01-02 17:20:19,643 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253904 Loss2 1.000963
- 2022-01-02 17:20:28,893 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283356, best_loss=0.282601
- 2022-01-02 17:20:34,291 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276283, best_loss=0.275783
- 2022-01-02 17:20:34,291 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.47368860244751s
- 2022-01-02 17:20:34,291 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:20:34,291 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:20:34,291 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 573
- 2022-01-02 17:20:50,039 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255171 Loss2 1.022159
- 2022-01-02 17:20:59,287 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284002, best_loss=0.282601
- 2022-01-02 17:21:04,716 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276179, best_loss=0.275783
- 2022-01-02 17:21:04,716 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.425262212753296s
- 2022-01-02 17:21:04,716 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:21:04,716 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:21:04,716 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 574
- 2022-01-02 17:21:20,427 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.270829 Loss2 1.170372
- 2022-01-02 17:21:29,666 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.284069, best_loss=0.282601
- 2022-01-02 17:21:34,862 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276027, best_loss=0.275783
- 2022-01-02 17:21:34,862 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.145694494247437s
- 2022-01-02 17:21:34,862 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:21:34,862 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:21:34,862 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 575
- 2022-01-02 17:21:50,617 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.267556 Loss2 1.048726
- 2022-01-02 17:21:59,868 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283275, best_loss=0.282601
- 2022-01-02 17:22:05,275 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276063, best_loss=0.275783
- 2022-01-02 17:22:05,275 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.413061380386353s
- 2022-01-02 17:22:05,275 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:22:05,275 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:22:05,276 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 576
- 2022-01-02 17:22:21,215 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279821 Loss2 1.065727
- 2022-01-02 17:22:30,460 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283785, best_loss=0.282601
- 2022-01-02 17:22:35,884 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276055, best_loss=0.275783
- 2022-01-02 17:22:35,884 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60795521736145s
- 2022-01-02 17:22:35,884 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:22:35,884 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:22:35,884 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 577
- 2022-01-02 17:22:51,790 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273281 Loss2 1.144260
- 2022-01-02 17:23:01,051 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282989, best_loss=0.282601
- 2022-01-02 17:23:06,445 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275930, best_loss=0.275783
- 2022-01-02 17:23:06,446 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.561503887176514s
- 2022-01-02 17:23:06,446 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:23:06,446 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:23:06,446 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 578
- 2022-01-02 17:23:22,195 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.244734 Loss2 1.048802
- 2022-01-02 17:23:31,452 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283346, best_loss=0.282601
- 2022-01-02 17:23:36,765 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275767, best_loss=0.275783
- 2022-01-02 17:23:36,783 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:23:36,784 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.337353467941284s
- 2022-01-02 17:23:36,784 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:23:36,784 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:23:36,784 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 579
- 2022-01-02 17:23:52,584 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251499 Loss2 0.985859
- 2022-01-02 17:24:01,826 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282776, best_loss=0.282601
- 2022-01-02 17:24:07,243 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275785, best_loss=0.275767
- 2022-01-02 17:24:07,244 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.459614753723145s
- 2022-01-02 17:24:07,244 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:24:07,244 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:24:07,244 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 580
- 2022-01-02 17:24:22,980 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241564 Loss2 0.934195
- 2022-01-02 17:24:32,246 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282920, best_loss=0.282601
- 2022-01-02 17:24:37,852 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275511, best_loss=0.275767
- 2022-01-02 17:24:37,870 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:24:37,870 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62650227546692s
- 2022-01-02 17:24:37,870 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:24:37,870 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:24:37,870 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 581
- 2022-01-02 17:24:53,776 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.262974 Loss2 1.055263
- 2022-01-02 17:25:03,017 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282408, best_loss=0.282601
- 2022-01-02 17:25:03,035 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:25:08,424 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275654, best_loss=0.275511
- 2022-01-02 17:25:08,424 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.553138971328735s
- 2022-01-02 17:25:08,424 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:25:08,424 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:25:08,424 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 582
- 2022-01-02 17:25:24,154 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249463 Loss2 1.095685
- 2022-01-02 17:25:33,402 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.283007, best_loss=0.282408
- 2022-01-02 17:25:38,829 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275546, best_loss=0.275511
- 2022-01-02 17:25:38,829 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40505051612854s
- 2022-01-02 17:25:38,829 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:25:38,829 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:25:38,829 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 583
- 2022-01-02 17:25:54,548 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252494 Loss2 1.105731
- 2022-01-02 17:26:03,791 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282503, best_loss=0.282408
- 2022-01-02 17:26:09,109 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275224, best_loss=0.275511
- 2022-01-02 17:26:09,127 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:26:09,128 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.29784607887268s
- 2022-01-02 17:26:09,128 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:26:09,128 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:26:09,128 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 584
- 2022-01-02 17:26:24,943 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.284824 Loss2 1.040428
- 2022-01-02 17:26:34,215 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281137, best_loss=0.282408
- 2022-01-02 17:26:34,236 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:26:39,589 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275114, best_loss=0.275224
- 2022-01-02 17:26:39,607 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:26:39,608 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.479618787765503s
- 2022-01-02 17:26:39,608 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:26:39,608 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:26:39,608 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 585
- 2022-01-02 17:26:55,522 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258718 Loss2 1.047462
- 2022-01-02 17:27:04,783 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282547, best_loss=0.281137
- 2022-01-02 17:27:10,187 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275113, best_loss=0.275114
- 2022-01-02 17:27:10,215 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:27:10,216 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60715675354004s
- 2022-01-02 17:27:10,216 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:27:10,216 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:27:10,216 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 586
- 2022-01-02 17:27:26,127 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285349 Loss2 1.199399
- 2022-01-02 17:27:35,378 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282624, best_loss=0.281137
- 2022-01-02 17:27:40,768 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275006, best_loss=0.275113
- 2022-01-02 17:27:40,787 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:27:40,787 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.571510553359985s
- 2022-01-02 17:27:40,787 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:27:40,787 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:27:40,787 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 587
- 2022-01-02 17:27:56,703 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.270307 Loss2 1.031769
- 2022-01-02 17:28:05,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282599, best_loss=0.281137
- 2022-01-02 17:28:11,362 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275024, best_loss=0.275006
- 2022-01-02 17:28:11,362 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57480025291443s
- 2022-01-02 17:28:11,362 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:28:11,362 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:28:11,362 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 588
- 2022-01-02 17:28:27,105 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.282203 Loss2 1.159137
- 2022-01-02 17:28:36,355 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282895, best_loss=0.281137
- 2022-01-02 17:28:41,745 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275180, best_loss=0.275006
- 2022-01-02 17:28:41,745 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.383151292800903s
- 2022-01-02 17:28:41,745 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:28:41,746 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:28:41,746 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 589
- 2022-01-02 17:28:57,497 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266541 Loss2 1.113566
- 2022-01-02 17:29:06,736 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281464, best_loss=0.281137
- 2022-01-02 17:29:11,933 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274976, best_loss=0.275006
- 2022-01-02 17:29:11,951 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:29:11,952 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.206013441085815s
- 2022-01-02 17:29:11,952 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:29:11,952 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:29:11,952 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 590
- 2022-01-02 17:29:27,682 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266831 Loss2 1.033615
- 2022-01-02 17:29:36,931 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281980, best_loss=0.281137
- 2022-01-02 17:29:42,555 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275077, best_loss=0.274976
- 2022-01-02 17:29:42,555 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.603380918502808s
- 2022-01-02 17:29:42,556 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:29:42,556 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:29:42,556 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 591
- 2022-01-02 17:29:58,276 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276907 Loss2 1.047593
- 2022-01-02 17:30:07,516 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282732, best_loss=0.281137
- 2022-01-02 17:30:12,944 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274895, best_loss=0.274976
- 2022-01-02 17:30:12,962 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:30:12,962 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40662145614624s
- 2022-01-02 17:30:12,962 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:30:12,962 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:30:12,962 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 592
- 2022-01-02 17:30:28,669 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257321 Loss2 1.085392
- 2022-01-02 17:30:37,924 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281529, best_loss=0.281137
- 2022-01-02 17:30:43,103 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274879, best_loss=0.274895
- 2022-01-02 17:30:43,121 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:30:43,121 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.15857458114624s
- 2022-01-02 17:30:43,122 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:30:43,122 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:30:43,122 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 593
- 2022-01-02 17:30:58,858 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.285827 Loss2 1.078590
- 2022-01-02 17:31:08,317 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281775, best_loss=0.281137
- 2022-01-02 17:31:13,704 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274752, best_loss=0.274879
- 2022-01-02 17:31:13,722 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:31:13,723 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.601408004760742s
- 2022-01-02 17:31:13,723 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:31:13,723 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:31:13,723 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 594
- 2022-01-02 17:31:29,451 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275063 Loss2 1.102071
- 2022-01-02 17:31:38,719 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280936, best_loss=0.281137
- 2022-01-02 17:31:38,737 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:31:44,097 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274574, best_loss=0.274752
- 2022-01-02 17:31:44,116 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:31:44,116 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.39303708076477s
- 2022-01-02 17:31:44,116 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:31:44,116 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:31:44,117 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 595
- 2022-01-02 17:32:00,026 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.270977 Loss2 0.935402
- 2022-01-02 17:32:09,305 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282078, best_loss=0.280936
- 2022-01-02 17:32:14,719 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274551, best_loss=0.274574
- 2022-01-02 17:32:14,737 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:32:14,738 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.621403455734253s
- 2022-01-02 17:32:14,738 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:32:14,738 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:32:14,738 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 596
- 2022-01-02 17:32:30,615 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248570 Loss2 0.990592
- 2022-01-02 17:32:39,873 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281171, best_loss=0.280936
- 2022-01-02 17:32:45,310 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274497, best_loss=0.274551
- 2022-01-02 17:32:45,328 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:32:45,328 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589865922927856s
- 2022-01-02 17:32:45,328 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:32:45,328 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:32:45,328 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 597
- 2022-01-02 17:33:01,215 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275126 Loss2 1.021316
- 2022-01-02 17:33:10,476 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281235, best_loss=0.280936
- 2022-01-02 17:33:15,859 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274362, best_loss=0.274497
- 2022-01-02 17:33:15,877 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:33:15,877 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.548079013824463s
- 2022-01-02 17:33:15,877 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:33:15,877 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:33:15,877 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 598
- 2022-01-02 17:33:31,807 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258061 Loss2 0.996283
- 2022-01-02 17:33:41,066 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281300, best_loss=0.280936
- 2022-01-02 17:33:46,464 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274433, best_loss=0.274362
- 2022-01-02 17:33:46,464 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587045192718506s
- 2022-01-02 17:33:46,464 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:33:46,464 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:33:46,464 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 599
- 2022-01-02 17:34:02,213 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243070 Loss2 1.032142
- 2022-01-02 17:34:11,445 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281456, best_loss=0.280936
- 2022-01-02 17:34:16,823 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274349, best_loss=0.274362
- 2022-01-02 17:34:16,841 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:34:16,842 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37730884552002s
- 2022-01-02 17:34:16,842 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:34:16,842 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:34:16,842 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 600
- 2022-01-02 17:34:32,794 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260455 Loss2 1.067910
- 2022-01-02 17:34:42,038 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281243, best_loss=0.280936
- 2022-01-02 17:34:47,263 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274387, best_loss=0.274349
- 2022-01-02 17:34:47,264 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.421472311019897s
- 2022-01-02 17:34:47,264 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:34:47,264 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:34:47,264 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 601
- 2022-01-02 17:35:02,992 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253427 Loss2 1.050046
- 2022-01-02 17:35:12,247 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281815, best_loss=0.280936
- 2022-01-02 17:35:17,631 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274342, best_loss=0.274349
- 2022-01-02 17:35:17,649 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:35:17,649 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.385714769363403s
- 2022-01-02 17:35:17,649 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:35:17,649 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:35:17,649 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 602
- 2022-01-02 17:35:33,380 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.280010 Loss2 1.286500
- 2022-01-02 17:35:42,827 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282301, best_loss=0.280936
- 2022-01-02 17:35:48,041 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274330, best_loss=0.274342
- 2022-01-02 17:35:48,059 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:35:48,059 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.409990310668945s
- 2022-01-02 17:35:48,059 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:35:48,059 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:35:48,059 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 603
- 2022-01-02 17:36:03,767 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253812 Loss2 1.183088
- 2022-01-02 17:36:13,015 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281683, best_loss=0.280936
- 2022-01-02 17:36:18,415 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274368, best_loss=0.274330
- 2022-01-02 17:36:18,416 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.356548309326172s
- 2022-01-02 17:36:18,416 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:36:18,416 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:36:18,416 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 604
- 2022-01-02 17:36:34,352 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260417 Loss2 1.135685
- 2022-01-02 17:36:43,611 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281151, best_loss=0.280936
- 2022-01-02 17:36:49,006 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274412, best_loss=0.274330
- 2022-01-02 17:36:49,007 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59093427658081s
- 2022-01-02 17:36:49,007 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:36:49,007 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:36:49,007 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 605
- 2022-01-02 17:37:04,755 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261183 Loss2 1.071165
- 2022-01-02 17:37:14,010 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280783, best_loss=0.280936
- 2022-01-02 17:37:14,028 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:37:19,403 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274338, best_loss=0.274330
- 2022-01-02 17:37:19,403 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.396584272384644s
- 2022-01-02 17:37:19,403 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:37:19,403 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:37:19,403 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 606
- 2022-01-02 17:37:35,145 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256585 Loss2 0.938782
- 2022-01-02 17:37:44,387 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281678, best_loss=0.280783
- 2022-01-02 17:37:49,576 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274284, best_loss=0.274330
- 2022-01-02 17:37:49,594 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:37:49,594 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.19102430343628s
- 2022-01-02 17:37:49,594 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:37:49,595 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:37:49,595 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 607
- 2022-01-02 17:38:05,522 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239191 Loss2 0.913993
- 2022-01-02 17:38:14,784 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280919, best_loss=0.280783
- 2022-01-02 17:38:20,182 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274210, best_loss=0.274284
- 2022-01-02 17:38:20,209 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:38:20,210 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61457848548889s
- 2022-01-02 17:38:20,210 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:38:20,210 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:38:20,210 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 608
- 2022-01-02 17:38:36,104 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256816 Loss2 1.087988
- 2022-01-02 17:38:45,371 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281043, best_loss=0.280783
- 2022-01-02 17:38:50,588 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274248, best_loss=0.274210
- 2022-01-02 17:38:50,588 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.378236055374146s
- 2022-01-02 17:38:50,588 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:38:50,588 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:38:50,588 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 609
- 2022-01-02 17:39:06,316 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271930 Loss2 1.174038
- 2022-01-02 17:39:15,550 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281066, best_loss=0.280783
- 2022-01-02 17:39:20,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274224, best_loss=0.274210
- 2022-01-02 17:39:20,967 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.378627061843872s
- 2022-01-02 17:39:20,967 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:39:20,967 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:39:20,967 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 610
- 2022-01-02 17:39:36,703 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264417 Loss2 1.136404
- 2022-01-02 17:39:45,960 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.282182, best_loss=0.280783
- 2022-01-02 17:39:51,364 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274189, best_loss=0.274210
- 2022-01-02 17:39:51,383 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:39:51,383 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.416003465652466s
- 2022-01-02 17:39:51,383 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:39:51,383 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:39:51,383 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 611
- 2022-01-02 17:40:07,290 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.262914 Loss2 1.120352
- 2022-01-02 17:40:16,556 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281243, best_loss=0.280783
- 2022-01-02 17:40:21,942 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274088, best_loss=0.274189
- 2022-01-02 17:40:21,961 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:40:21,961 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.577670335769653s
- 2022-01-02 17:40:21,961 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:40:21,961 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:40:21,961 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 612
- 2022-01-02 17:40:37,688 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265799 Loss2 1.052773
- 2022-01-02 17:40:46,950 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279851, best_loss=0.280783
- 2022-01-02 17:40:46,968 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:40:52,353 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274169, best_loss=0.274088
- 2022-01-02 17:40:52,354 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.392146587371826s
- 2022-01-02 17:40:52,354 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:40:52,354 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:40:52,354 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 613
- 2022-01-02 17:41:08,268 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246383 Loss2 1.151514
- 2022-01-02 17:41:17,523 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281067, best_loss=0.279851
- 2022-01-02 17:41:22,956 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274043, best_loss=0.274088
- 2022-01-02 17:41:22,975 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:41:22,975 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62094473838806s
- 2022-01-02 17:41:22,975 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:41:22,976 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:41:22,976 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 614
- 2022-01-02 17:41:38,858 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250861 Loss2 1.056845
- 2022-01-02 17:41:48,118 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280831, best_loss=0.279851
- 2022-01-02 17:41:53,520 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274108, best_loss=0.274043
- 2022-01-02 17:41:53,520 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.544606685638428s
- 2022-01-02 17:41:53,520 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:41:53,520 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:41:53,521 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 615
- 2022-01-02 17:42:09,279 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263068 Loss2 1.080261
- 2022-01-02 17:42:18,528 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281463, best_loss=0.279851
- 2022-01-02 17:42:23,848 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274022, best_loss=0.274043
- 2022-01-02 17:42:23,866 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:42:23,866 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.34564447402954s
- 2022-01-02 17:42:23,866 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:42:23,866 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:42:23,867 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 616
- 2022-01-02 17:42:39,651 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.273752 Loss2 1.124589
- 2022-01-02 17:42:48,912 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281281, best_loss=0.279851
- 2022-01-02 17:42:54,316 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274167, best_loss=0.274022
- 2022-01-02 17:42:54,316 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.449174642562866s
- 2022-01-02 17:42:54,317 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:42:54,317 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:42:54,317 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 617
- 2022-01-02 17:43:10,038 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266118 Loss2 1.053273
- 2022-01-02 17:43:19,325 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281705, best_loss=0.279851
- 2022-01-02 17:43:24,684 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274127, best_loss=0.274022
- 2022-01-02 17:43:24,685 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.36807131767273s
- 2022-01-02 17:43:24,685 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:43:24,685 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:43:24,685 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 618
- 2022-01-02 17:43:40,431 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269466 Loss2 1.172093
- 2022-01-02 17:43:49,676 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281152, best_loss=0.279851
- 2022-01-02 17:43:55,016 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274388, best_loss=0.274022
- 2022-01-02 17:43:55,017 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.332216262817383s
- 2022-01-02 17:43:55,017 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:43:55,017 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:43:55,017 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 619
- 2022-01-02 17:44:11,007 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.281357 Loss2 1.175291
- 2022-01-02 17:44:20,294 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280422, best_loss=0.279851
- 2022-01-02 17:44:25,460 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274133, best_loss=0.274022
- 2022-01-02 17:44:25,461 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.443745613098145s
- 2022-01-02 17:44:25,461 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:44:25,461 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:44:25,461 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 620
- 2022-01-02 17:44:41,207 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.282316 Loss2 1.140330
- 2022-01-02 17:44:50,457 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279717, best_loss=0.279851
- 2022-01-02 17:44:50,475 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:44:55,891 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274108, best_loss=0.274022
- 2022-01-02 17:44:55,892 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.430893182754517s
- 2022-01-02 17:44:55,892 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:44:55,892 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:44:55,892 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 621
- 2022-01-02 17:45:11,795 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.288485 Loss2 1.135627
- 2022-01-02 17:45:21,058 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280521, best_loss=0.279717
- 2022-01-02 17:45:26,457 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274064, best_loss=0.274022
- 2022-01-02 17:45:26,458 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56610870361328s
- 2022-01-02 17:45:26,458 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:45:26,458 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:45:26,458 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 622
- 2022-01-02 17:45:42,198 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260459 Loss2 1.046992
- 2022-01-02 17:45:51,439 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279866, best_loss=0.279717
- 2022-01-02 17:45:56,634 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273796, best_loss=0.274022
- 2022-01-02 17:45:56,652 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:45:56,653 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.195146560668945s
- 2022-01-02 17:45:56,653 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:45:56,653 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:45:56,653 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 623
- 2022-01-02 17:46:12,579 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265361 Loss2 1.068647
- 2022-01-02 17:46:21,845 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280101, best_loss=0.279717
- 2022-01-02 17:46:27,235 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273623, best_loss=0.273796
- 2022-01-02 17:46:27,260 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:46:27,261 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60820698738098s
- 2022-01-02 17:46:27,261 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:46:27,261 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:46:27,261 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 624
- 2022-01-02 17:46:42,983 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269407 Loss2 1.098919
- 2022-01-02 17:46:52,237 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280612, best_loss=0.279717
- 2022-01-02 17:46:57,622 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273709, best_loss=0.273623
- 2022-01-02 17:46:57,623 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.361587524414062s
- 2022-01-02 17:46:57,623 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:46:57,623 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:46:57,623 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 625
- 2022-01-02 17:47:13,368 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240614 Loss2 0.995624
- 2022-01-02 17:47:22,620 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280414, best_loss=0.279717
- 2022-01-02 17:47:27,807 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273652, best_loss=0.273623
- 2022-01-02 17:47:27,808 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18440294265747s
- 2022-01-02 17:47:27,808 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:47:27,808 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:47:27,808 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 626
- 2022-01-02 17:47:43,566 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249060 Loss2 1.055405
- 2022-01-02 17:47:52,830 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281376, best_loss=0.279717
- 2022-01-02 17:47:58,205 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273689, best_loss=0.273623
- 2022-01-02 17:47:58,205 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.397438287734985s
- 2022-01-02 17:47:58,206 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:47:58,206 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:47:58,206 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 627
- 2022-01-02 17:48:13,960 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239650 Loss2 0.902354
- 2022-01-02 17:48:23,129 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279230, best_loss=0.279717
- 2022-01-02 17:48:23,147 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:48:28,411 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273675, best_loss=0.273623
- 2022-01-02 17:48:28,411 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.20522713661194s
- 2022-01-02 17:48:28,411 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:48:28,411 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:48:28,411 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 628
- 2022-01-02 17:48:44,141 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268602 Loss2 1.137561
- 2022-01-02 17:48:53,401 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280039, best_loss=0.279230
- 2022-01-02 17:48:58,786 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273941, best_loss=0.273623
- 2022-01-02 17:48:58,786 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37435531616211s
- 2022-01-02 17:48:58,786 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:48:58,786 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:48:58,786 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 629
- 2022-01-02 17:49:14,719 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254946 Loss2 1.026615
- 2022-01-02 17:49:23,997 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279534, best_loss=0.279230
- 2022-01-02 17:49:29,391 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273583, best_loss=0.273623
- 2022-01-02 17:49:29,409 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:49:29,409 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.623130321502686s
- 2022-01-02 17:49:29,409 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:49:29,409 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:49:29,410 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 630
- 2022-01-02 17:49:45,310 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261056 Loss2 1.079939
- 2022-01-02 17:49:54,580 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280537, best_loss=0.279230
- 2022-01-02 17:49:59,970 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273418, best_loss=0.273583
- 2022-01-02 17:49:59,988 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:49:59,989 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57898712158203s
- 2022-01-02 17:49:59,989 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:49:59,989 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:49:59,989 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 631
- 2022-01-02 17:50:16,109 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242633 Loss2 1.033532
- 2022-01-02 17:50:25,384 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280286, best_loss=0.279230
- 2022-01-02 17:50:30,764 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273495, best_loss=0.273418
- 2022-01-02 17:50:30,764 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.775428533554077s
- 2022-01-02 17:50:30,765 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:50:30,765 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:50:30,765 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 632
- 2022-01-02 17:50:46,686 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260979 Loss2 0.979316
- 2022-01-02 17:50:55,953 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280280, best_loss=0.279230
- 2022-01-02 17:51:01,371 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273642, best_loss=0.273418
- 2022-01-02 17:51:01,372 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.607065677642822s
- 2022-01-02 17:51:01,372 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:51:01,372 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:51:01,372 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 633
- 2022-01-02 17:51:17,281 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246226 Loss2 1.138714
- 2022-01-02 17:51:26,377 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280292, best_loss=0.279230
- 2022-01-02 17:51:31,744 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273706, best_loss=0.273418
- 2022-01-02 17:51:31,744 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37245202064514s
- 2022-01-02 17:51:31,745 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:51:31,745 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:51:31,745 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 634
- 2022-01-02 17:51:47,485 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254676 Loss2 1.018592
- 2022-01-02 17:51:56,767 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279615, best_loss=0.279230
- 2022-01-02 17:52:02,083 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273666, best_loss=0.273418
- 2022-01-02 17:52:02,083 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.338446617126465s
- 2022-01-02 17:52:02,083 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:52:02,083 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:52:02,083 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 635
- 2022-01-02 17:52:18,072 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263251 Loss2 1.078596
- 2022-01-02 17:52:27,331 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279994, best_loss=0.279230
- 2022-01-02 17:52:32,645 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273695, best_loss=0.273418
- 2022-01-02 17:52:32,645 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56229066848755s
- 2022-01-02 17:52:32,645 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:52:32,646 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:52:32,646 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 636
- 2022-01-02 17:52:48,486 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274209 Loss2 1.039083
- 2022-01-02 17:52:57,729 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279841, best_loss=0.279230
- 2022-01-02 17:53:03,121 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273476, best_loss=0.273418
- 2022-01-02 17:53:03,122 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.47563624382019s
- 2022-01-02 17:53:03,122 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:53:03,122 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:53:03,122 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 637
- 2022-01-02 17:53:18,863 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269556 Loss2 1.124124
- 2022-01-02 17:53:28,119 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280203, best_loss=0.279230
- 2022-01-02 17:53:33,509 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273663, best_loss=0.273418
- 2022-01-02 17:53:33,509 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.387544631958008s
- 2022-01-02 17:53:33,509 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:53:33,509 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:53:33,510 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 638
- 2022-01-02 17:53:49,255 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245476 Loss2 1.062465
- 2022-01-02 17:53:58,433 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279886, best_loss=0.279230
- 2022-01-02 17:54:03,891 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273412, best_loss=0.273418
- 2022-01-02 17:54:03,909 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.400110006332397s
- 2022-01-02 17:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:54:03,910 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 639
- 2022-01-02 17:54:19,835 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249453 Loss2 0.965188
- 2022-01-02 17:54:29,092 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281154, best_loss=0.279230
- 2022-01-02 17:54:34,435 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273361, best_loss=0.273412
- 2022-01-02 17:54:34,454 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:54:34,454 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.544695615768433s
- 2022-01-02 17:54:34,454 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:54:34,455 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:54:34,455 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 640
- 2022-01-02 17:54:50,229 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260535 Loss2 1.129199
- 2022-01-02 17:54:59,487 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279720, best_loss=0.279230
- 2022-01-02 17:55:04,880 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273536, best_loss=0.273361
- 2022-01-02 17:55:04,881 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.425988912582397s
- 2022-01-02 17:55:04,881 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:55:04,881 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:55:04,881 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 641
- 2022-01-02 17:55:20,809 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251021 Loss2 1.082866
- 2022-01-02 17:55:30,070 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280235, best_loss=0.279230
- 2022-01-02 17:55:35,466 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273473, best_loss=0.273361
- 2022-01-02 17:55:35,467 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.585787534713745s
- 2022-01-02 17:55:35,467 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:55:35,467 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:55:35,467 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 642
- 2022-01-02 17:55:51,401 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.282012 Loss2 1.180753
- 2022-01-02 17:56:00,669 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279667, best_loss=0.279230
- 2022-01-02 17:56:06,065 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273482, best_loss=0.273361
- 2022-01-02 17:56:06,065 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59803867340088s
- 2022-01-02 17:56:06,066 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:56:06,066 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:56:06,066 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 643
- 2022-01-02 17:56:22,014 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235974 Loss2 0.944115
- 2022-01-02 17:56:31,253 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279968, best_loss=0.279230
- 2022-01-02 17:56:36,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273586, best_loss=0.273361
- 2022-01-02 17:56:36,656 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590670108795166s
- 2022-01-02 17:56:36,656 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:56:36,656 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:56:36,656 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 644
- 2022-01-02 17:56:52,402 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257282 Loss2 1.137705
- 2022-01-02 17:57:01,655 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279813, best_loss=0.279230
- 2022-01-02 17:57:07,041 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273986, best_loss=0.273361
- 2022-01-02 17:57:07,042 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38526225090027s
- 2022-01-02 17:57:07,042 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:57:07,042 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:57:07,042 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 645
- 2022-01-02 17:57:22,792 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238156 Loss2 1.043426
- 2022-01-02 17:57:32,043 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279770, best_loss=0.279230
- 2022-01-02 17:57:37,221 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273934, best_loss=0.273361
- 2022-01-02 17:57:37,221 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.179089546203613s
- 2022-01-02 17:57:37,221 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:57:37,222 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:57:37,222 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 646
- 2022-01-02 17:57:52,984 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265260 Loss2 1.081224
- 2022-01-02 17:58:02,224 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278534, best_loss=0.279230
- 2022-01-02 17:58:02,243 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 17:58:07,654 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273853, best_loss=0.273361
- 2022-01-02 17:58:07,654 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.43244457244873s
- 2022-01-02 17:58:07,654 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:58:07,654 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:58:07,654 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 647
- 2022-01-02 17:58:23,576 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246360 Loss2 1.082898
- 2022-01-02 17:58:32,827 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279069, best_loss=0.278534
- 2022-01-02 17:58:38,214 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273685, best_loss=0.273361
- 2022-01-02 17:58:38,214 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55886459350586s
- 2022-01-02 17:58:38,214 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:58:38,214 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:58:38,214 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 648
- 2022-01-02 17:58:54,148 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275237 Loss2 1.014457
- 2022-01-02 17:59:03,438 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279305, best_loss=0.278534
- 2022-01-02 17:59:08,804 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273631, best_loss=0.273361
- 2022-01-02 17:59:08,804 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59024214744568s
- 2022-01-02 17:59:08,804 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:59:08,804 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:59:08,804 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 649
- 2022-01-02 17:59:24,561 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264886 Loss2 1.079442
- 2022-01-02 17:59:33,810 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278860, best_loss=0.278534
- 2022-01-02 17:59:38,993 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273540, best_loss=0.273361
- 2022-01-02 17:59:38,994 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.189528703689575s
- 2022-01-02 17:59:38,994 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 17:59:38,994 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 17:59:38,994 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 650
- 2022-01-02 17:59:54,747 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271189 Loss2 1.084438
- 2022-01-02 18:00:04,206 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279433, best_loss=0.278534
- 2022-01-02 18:00:09,588 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273363, best_loss=0.273361
- 2022-01-02 18:00:09,588 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.593743562698364s
- 2022-01-02 18:00:09,588 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:00:09,588 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:00:09,588 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 651
- 2022-01-02 18:00:25,344 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.267898 Loss2 1.048694
- 2022-01-02 18:00:34,574 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279941, best_loss=0.278534
- 2022-01-02 18:00:40,005 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273412, best_loss=0.273361
- 2022-01-02 18:00:40,005 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.417176008224487s
- 2022-01-02 18:00:40,005 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:00:40,005 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:00:40,005 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 652
- 2022-01-02 18:00:55,913 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266177 Loss2 1.103187
- 2022-01-02 18:01:05,182 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279698, best_loss=0.278534
- 2022-01-02 18:01:10,589 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273444, best_loss=0.273361
- 2022-01-02 18:01:10,590 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.584429025650024s
- 2022-01-02 18:01:10,590 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:01:10,590 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:01:10,590 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 653
- 2022-01-02 18:01:26,322 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286240 Loss2 1.138782
- 2022-01-02 18:01:35,515 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.281008, best_loss=0.278534
- 2022-01-02 18:01:40,772 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273545, best_loss=0.273361
- 2022-01-02 18:01:40,772 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.182169198989868s
- 2022-01-02 18:01:40,772 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:01:40,772 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:01:40,772 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 654
- 2022-01-02 18:01:56,697 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258695 Loss2 1.093776
- 2022-01-02 18:02:05,961 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279805, best_loss=0.278534
- 2022-01-02 18:02:11,352 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273533, best_loss=0.273361
- 2022-01-02 18:02:11,353 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.580350637435913s
- 2022-01-02 18:02:11,353 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:02:11,353 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:02:11,353 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 655
- 2022-01-02 18:02:27,100 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269176 Loss2 1.029029
- 2022-01-02 18:02:36,356 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278099, best_loss=0.278534
- 2022-01-02 18:02:36,374 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:02:41,749 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273339, best_loss=0.273361
- 2022-01-02 18:02:41,766 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:02:41,767 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41334581375122s
- 2022-01-02 18:02:41,767 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:02:41,767 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:02:41,767 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 656
- 2022-01-02 18:02:57,489 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240641 Loss2 0.964428
- 2022-01-02 18:03:06,735 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278811, best_loss=0.278099
- 2022-01-02 18:03:12,048 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273292, best_loss=0.273339
- 2022-01-02 18:03:12,066 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:03:12,067 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.30003070831299s
- 2022-01-02 18:03:12,067 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:03:12,067 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:03:12,067 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 657
- 2022-01-02 18:03:27,879 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.237561 Loss2 0.923733
- 2022-01-02 18:03:37,139 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278273, best_loss=0.278099
- 2022-01-02 18:03:42,544 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273329, best_loss=0.273292
- 2022-01-02 18:03:42,544 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.477892875671387s
- 2022-01-02 18:03:42,545 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:03:42,545 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:03:42,545 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 658
- 2022-01-02 18:03:58,276 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261914 Loss2 1.061897
- 2022-01-02 18:04:07,540 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278420, best_loss=0.278099
- 2022-01-02 18:04:12,913 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273358, best_loss=0.273292
- 2022-01-02 18:04:12,913 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.368082761764526s
- 2022-01-02 18:04:12,914 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:04:12,914 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:04:12,914 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 659
- 2022-01-02 18:04:28,663 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249455 Loss2 1.006917
- 2022-01-02 18:04:37,901 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278377, best_loss=0.278099
- 2022-01-02 18:04:43,094 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273287, best_loss=0.273292
- 2022-01-02 18:04:43,112 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:04:43,113 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.199214220046997s
- 2022-01-02 18:04:43,113 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:04:43,113 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:04:43,113 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 660
- 2022-01-02 18:04:58,851 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241559 Loss2 1.063485
- 2022-01-02 18:05:08,091 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279650, best_loss=0.278099
- 2022-01-02 18:05:13,536 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273541, best_loss=0.273287
- 2022-01-02 18:05:13,536 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.42360258102417s
- 2022-01-02 18:05:13,537 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:05:13,537 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:05:13,537 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 661
- 2022-01-02 18:05:29,438 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249718 Loss2 1.145434
- 2022-01-02 18:05:38,704 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279240, best_loss=0.278099
- 2022-01-02 18:05:44,095 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273419, best_loss=0.273287
- 2022-01-02 18:05:44,096 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55897831916809s
- 2022-01-02 18:05:44,096 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:05:44,096 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:05:44,096 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 662
- 2022-01-02 18:06:00,025 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255325 Loss2 1.069493
- 2022-01-02 18:06:09,289 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278901, best_loss=0.278099
- 2022-01-02 18:06:14,687 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273750, best_loss=0.273287
- 2022-01-02 18:06:14,688 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.591315269470215s
- 2022-01-02 18:06:14,688 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:06:14,688 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:06:14,688 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 663
- 2022-01-02 18:06:30,611 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261596 Loss2 1.075922
- 2022-01-02 18:06:39,873 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278647, best_loss=0.278099
- 2022-01-02 18:06:45,087 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273631, best_loss=0.273287
- 2022-01-02 18:06:45,087 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.398911476135254s
- 2022-01-02 18:06:45,088 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:06:45,088 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:06:45,088 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 664
- 2022-01-02 18:07:00,826 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243712 Loss2 1.091397
- 2022-01-02 18:07:10,073 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278723, best_loss=0.278099
- 2022-01-02 18:07:15,492 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273629, best_loss=0.273287
- 2022-01-02 18:07:15,492 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.404528379440308s
- 2022-01-02 18:07:15,492 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:07:15,492 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:07:15,492 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 665
- 2022-01-02 18:07:31,393 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268608 Loss2 1.028140
- 2022-01-02 18:07:40,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.280431, best_loss=0.278099
- 2022-01-02 18:07:46,059 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273629, best_loss=0.273287
- 2022-01-02 18:07:46,060 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.567443370819092s
- 2022-01-02 18:07:46,060 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:07:46,060 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:07:46,060 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 666
- 2022-01-02 18:08:01,796 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246328 Loss2 1.015459
- 2022-01-02 18:08:11,050 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279163, best_loss=0.278099
- 2022-01-02 18:08:16,478 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273397, best_loss=0.273287
- 2022-01-02 18:08:16,478 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.418013095855713s
- 2022-01-02 18:08:16,478 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:08:16,478 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:08:16,479 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 667
- 2022-01-02 18:08:32,193 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257861 Loss2 1.138671
- 2022-01-02 18:08:41,445 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279788, best_loss=0.278099
- 2022-01-02 18:08:46,621 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273504, best_loss=0.273287
- 2022-01-02 18:08:46,622 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.143390417099s
- 2022-01-02 18:08:46,622 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:08:46,622 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:08:46,622 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 668
- 2022-01-02 18:09:02,383 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268973 Loss2 1.137446
- 2022-01-02 18:09:11,627 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278424, best_loss=0.278099
- 2022-01-02 18:09:16,863 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273418, best_loss=0.273287
- 2022-01-02 18:09:16,864 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.24200963973999s
- 2022-01-02 18:09:16,864 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:09:16,864 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:09:16,864 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 669
- 2022-01-02 18:09:32,577 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245287 Loss2 1.082218
- 2022-01-02 18:09:41,832 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278897, best_loss=0.278099
- 2022-01-02 18:09:47,216 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273623, best_loss=0.273287
- 2022-01-02 18:09:47,216 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.351564645767212s
- 2022-01-02 18:09:47,216 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:09:47,216 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:09:47,216 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 670
- 2022-01-02 18:10:02,962 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269449 Loss2 1.097041
- 2022-01-02 18:10:12,219 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278868, best_loss=0.278099
- 2022-01-02 18:10:17,612 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273723, best_loss=0.273287
- 2022-01-02 18:10:17,612 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.395463228225708s
- 2022-01-02 18:10:17,612 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:10:17,613 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:10:17,613 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 671
- 2022-01-02 18:10:33,541 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263899 Loss2 1.118186
- 2022-01-02 18:10:42,817 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278199, best_loss=0.278099
- 2022-01-02 18:10:48,202 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273647, best_loss=0.273287
- 2022-01-02 18:10:48,202 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589559316635132s
- 2022-01-02 18:10:48,203 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:10:48,203 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:10:48,203 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 672
- 2022-01-02 18:11:04,137 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268418 Loss2 1.005647
- 2022-01-02 18:11:13,412 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278102, best_loss=0.278099
- 2022-01-02 18:11:18,785 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273853, best_loss=0.273287
- 2022-01-02 18:11:18,785 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.582515001296997s
- 2022-01-02 18:11:18,785 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:11:18,785 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:11:18,785 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 673
- 2022-01-02 18:11:34,537 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.237608 Loss2 0.945638
- 2022-01-02 18:11:43,768 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277771, best_loss=0.278099
- 2022-01-02 18:11:43,786 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:11:48,965 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273983, best_loss=0.273287
- 2022-01-02 18:11:48,965 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18016266822815s
- 2022-01-02 18:11:48,965 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:11:48,966 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:11:48,966 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 674
- 2022-01-02 18:12:04,914 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240411 Loss2 0.973763
- 2022-01-02 18:12:14,179 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278506, best_loss=0.277771
- 2022-01-02 18:12:19,572 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273643, best_loss=0.273287
- 2022-01-02 18:12:19,572 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.606290102005005s
- 2022-01-02 18:12:19,573 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:12:19,573 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:12:19,573 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 675
- 2022-01-02 18:12:35,324 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265863 Loss2 1.016580
- 2022-01-02 18:12:44,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278280, best_loss=0.277771
- 2022-01-02 18:12:49,989 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273576, best_loss=0.273287
- 2022-01-02 18:12:49,989 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41666603088379s
- 2022-01-02 18:12:49,990 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:12:49,990 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:12:49,990 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 676
- 2022-01-02 18:13:05,712 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245533 Loss2 1.031751
- 2022-01-02 18:13:14,976 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277916, best_loss=0.277771
- 2022-01-02 18:13:20,272 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273706, best_loss=0.273287
- 2022-01-02 18:13:20,273 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.283165216445923s
- 2022-01-02 18:13:20,273 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:13:20,273 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:13:20,273 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 677
- 2022-01-02 18:13:36,083 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.267554 Loss2 0.943891
- 2022-01-02 18:13:45,354 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278006, best_loss=0.277771
- 2022-01-02 18:13:50,743 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273690, best_loss=0.273287
- 2022-01-02 18:13:50,743 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.47055172920227s
- 2022-01-02 18:13:50,743 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:13:50,744 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:13:50,744 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 678
- 2022-01-02 18:14:06,492 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.267628 Loss2 1.015822
- 2022-01-02 18:14:15,749 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278367, best_loss=0.277771
- 2022-01-02 18:14:21,143 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273607, best_loss=0.273287
- 2022-01-02 18:14:21,143 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.398750066757202s
- 2022-01-02 18:14:21,143 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:14:21,143 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:14:21,143 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 679
- 2022-01-02 18:14:37,071 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254627 Loss2 1.007009
- 2022-01-02 18:14:46,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278374, best_loss=0.277771
- 2022-01-02 18:14:51,732 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273541, best_loss=0.273287
- 2022-01-02 18:14:51,732 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.588815927505493s
- 2022-01-02 18:14:51,732 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:14:51,733 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:14:51,733 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 680
- 2022-01-02 18:15:07,472 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279135 Loss2 1.087279
- 2022-01-02 18:15:16,725 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278415, best_loss=0.277771
- 2022-01-02 18:15:22,052 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273519, best_loss=0.273287
- 2022-01-02 18:15:22,053 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.32019829750061s
- 2022-01-02 18:15:22,053 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:15:22,053 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:15:22,053 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 681
- 2022-01-02 18:15:37,869 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234384 Loss2 0.995458
- 2022-01-02 18:15:47,118 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277916, best_loss=0.277771
- 2022-01-02 18:15:52,528 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273543, best_loss=0.273287
- 2022-01-02 18:15:52,528 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.475284576416016s
- 2022-01-02 18:15:52,528 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:15:52,529 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:15:52,529 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 682
- 2022-01-02 18:16:08,440 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264012 Loss2 0.891427
- 2022-01-02 18:16:17,707 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278210, best_loss=0.277771
- 2022-01-02 18:16:23,105 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273541, best_loss=0.273287
- 2022-01-02 18:16:23,105 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57672429084778s
- 2022-01-02 18:16:23,106 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:16:23,106 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:16:23,106 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 683
- 2022-01-02 18:16:39,053 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265817 Loss2 1.113980
- 2022-01-02 18:16:48,266 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277721, best_loss=0.277771
- 2022-01-02 18:16:48,284 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:16:53,700 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273550, best_loss=0.273287
- 2022-01-02 18:16:53,700 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.594423532485962s
- 2022-01-02 18:16:53,700 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:16:53,700 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:16:53,700 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 684
- 2022-01-02 18:17:09,442 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.288552 Loss2 1.083101
- 2022-01-02 18:17:18,687 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277863, best_loss=0.277721
- 2022-01-02 18:17:23,902 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273613, best_loss=0.273287
- 2022-01-02 18:17:23,903 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.202649354934692s
- 2022-01-02 18:17:23,903 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:17:23,903 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:17:23,903 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 685
- 2022-01-02 18:17:39,816 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241708 Loss2 1.069990
- 2022-01-02 18:17:49,077 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277310, best_loss=0.277721
- 2022-01-02 18:17:49,095 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:17:54,419 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273638, best_loss=0.273287
- 2022-01-02 18:17:54,419 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.516462087631226s
- 2022-01-02 18:17:54,419 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:17:54,419 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:17:54,419 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 686
- 2022-01-02 18:18:10,224 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240281 Loss2 0.944640
- 2022-01-02 18:18:19,474 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279415, best_loss=0.277310
- 2022-01-02 18:18:24,866 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273462, best_loss=0.273287
- 2022-01-02 18:18:24,867 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.447416305541992s
- 2022-01-02 18:18:24,867 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:18:24,867 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:18:24,867 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 687
- 2022-01-02 18:18:40,613 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269976 Loss2 1.107270
- 2022-01-02 18:18:49,877 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277979, best_loss=0.277310
- 2022-01-02 18:18:55,255 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273653, best_loss=0.273287
- 2022-01-02 18:18:55,255 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.388386964797974s
- 2022-01-02 18:18:55,255 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:18:55,255 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:18:55,255 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 688
- 2022-01-02 18:19:11,188 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252988 Loss2 1.020764
- 2022-01-02 18:19:20,456 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277977, best_loss=0.277310
- 2022-01-02 18:19:25,882 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273517, best_loss=0.273287
- 2022-01-02 18:19:25,882 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.627160787582397s
- 2022-01-02 18:19:25,882 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:19:25,882 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:19:25,882 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 689
- 2022-01-02 18:19:41,784 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.286919 Loss2 1.184759
- 2022-01-02 18:19:51,038 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278679, best_loss=0.277310
- 2022-01-02 18:19:56,462 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273726, best_loss=0.273287
- 2022-01-02 18:19:56,463 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.580610036849976s
- 2022-01-02 18:19:56,463 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:19:56,463 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:19:56,463 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 690
- 2022-01-02 18:20:12,371 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247886 Loss2 1.038873
- 2022-01-02 18:20:21,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278019, best_loss=0.277310
- 2022-01-02 18:20:27,027 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273681, best_loss=0.273287
- 2022-01-02 18:20:27,027 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56417465209961s
- 2022-01-02 18:20:27,027 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:20:27,028 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:20:27,028 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 691
- 2022-01-02 18:20:42,776 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236078 Loss2 0.983060
- 2022-01-02 18:20:52,017 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277849, best_loss=0.277310
- 2022-01-02 18:20:57,211 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273562, best_loss=0.273287
- 2022-01-02 18:20:57,211 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18376326560974s
- 2022-01-02 18:20:57,211 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:20:57,211 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:20:57,211 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 692
- 2022-01-02 18:21:12,971 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254706 Loss2 1.028826
- 2022-01-02 18:21:22,225 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278229, best_loss=0.277310
- 2022-01-02 18:21:27,624 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273333, best_loss=0.273287
- 2022-01-02 18:21:27,625 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41322612762451s
- 2022-01-02 18:21:27,625 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:21:27,625 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:21:27,625 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 693
- 2022-01-02 18:21:43,553 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247510 Loss2 0.998667
- 2022-01-02 18:21:52,805 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277868, best_loss=0.277310
- 2022-01-02 18:21:58,199 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273369, best_loss=0.273287
- 2022-01-02 18:21:58,200 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.574565172195435s
- 2022-01-02 18:21:58,200 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:21:58,200 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:21:58,200 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 694
- 2022-01-02 18:22:14,157 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258186 Loss2 1.080107
- 2022-01-02 18:22:23,395 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278523, best_loss=0.277310
- 2022-01-02 18:22:28,824 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273538, best_loss=0.273287
- 2022-01-02 18:22:28,824 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62485361099243s
- 2022-01-02 18:22:28,824 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:22:28,824 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:22:28,824 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 695
- 2022-01-02 18:22:44,728 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243285 Loss2 1.118394
- 2022-01-02 18:22:53,980 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278021, best_loss=0.277310
- 2022-01-02 18:22:59,412 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273747, best_loss=0.273287
- 2022-01-02 18:22:59,413 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.588156938552856s
- 2022-01-02 18:22:59,413 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:22:59,413 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:22:59,413 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 696
- 2022-01-02 18:23:15,333 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269729 Loss2 1.092742
- 2022-01-02 18:23:24,595 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278347, best_loss=0.277310
- 2022-01-02 18:23:29,971 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273719, best_loss=0.273287
- 2022-01-02 18:23:29,972 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.558685064315796s
- 2022-01-02 18:23:29,972 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:23:29,972 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:23:29,972 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 697
- 2022-01-02 18:23:45,723 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258648 Loss2 1.118675
- 2022-01-02 18:23:54,957 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.279090, best_loss=0.277310
- 2022-01-02 18:24:00,289 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273845, best_loss=0.273287
- 2022-01-02 18:24:00,289 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.317302227020264s
- 2022-01-02 18:24:00,289 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:24:00,289 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:24:00,289 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 698
- 2022-01-02 18:24:16,118 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263998 Loss2 1.078935
- 2022-01-02 18:24:25,333 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278337, best_loss=0.277310
- 2022-01-02 18:24:30,751 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274172, best_loss=0.273287
- 2022-01-02 18:24:30,751 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46145462989807s
- 2022-01-02 18:24:30,751 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:24:30,751 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:24:30,751 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 699
- 2022-01-02 18:24:46,689 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.276141 Loss2 1.086696
- 2022-01-02 18:24:55,952 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278302, best_loss=0.277310
- 2022-01-02 18:25:01,351 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274072, best_loss=0.273287
- 2022-01-02 18:25:01,351 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.6003155708313s
- 2022-01-02 18:25:01,352 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:25:01,352 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:25:01,352 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 700
- 2022-01-02 18:25:17,296 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246673 Loss2 1.045337
- 2022-01-02 18:25:26,554 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278244, best_loss=0.277310
- 2022-01-02 18:25:31,946 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273904, best_loss=0.273287
- 2022-01-02 18:25:31,947 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.594979524612427s
- 2022-01-02 18:25:31,947 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:25:31,947 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:25:31,947 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 701
- 2022-01-02 18:25:47,683 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250932 Loss2 0.895794
- 2022-01-02 18:25:56,931 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277709, best_loss=0.277310
- 2022-01-02 18:26:02,320 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273833, best_loss=0.273287
- 2022-01-02 18:26:02,321 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.373993396759033s
- 2022-01-02 18:26:02,321 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:26:02,321 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:26:02,321 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 702
- 2022-01-02 18:26:18,075 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231952 Loss2 1.100600
- 2022-01-02 18:26:27,317 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277227, best_loss=0.277310
- 2022-01-02 18:26:27,335 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:26:32,679 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273605, best_loss=0.273287
- 2022-01-02 18:26:32,679 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.358229637145996s
- 2022-01-02 18:26:32,679 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:26:32,680 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:26:32,680 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 703
- 2022-01-02 18:26:48,467 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239775 Loss2 0.993794
- 2022-01-02 18:26:57,729 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278028, best_loss=0.277227
- 2022-01-02 18:27:03,107 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273722, best_loss=0.273287
- 2022-01-02 18:27:03,108 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.428214073181152s
- 2022-01-02 18:27:03,108 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:27:03,108 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:27:03,108 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 704
- 2022-01-02 18:27:18,863 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253386 Loss2 1.030634
- 2022-01-02 18:27:28,119 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277555, best_loss=0.277227
- 2022-01-02 18:27:33,495 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273670, best_loss=0.273287
- 2022-01-02 18:27:33,495 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.387398719787598s
- 2022-01-02 18:27:33,495 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:27:33,495 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:27:33,495 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 705
- 2022-01-02 18:27:49,255 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249121 Loss2 1.054161
- 2022-01-02 18:27:58,505 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277426, best_loss=0.277227
- 2022-01-02 18:28:03,829 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273469, best_loss=0.273287
- 2022-01-02 18:28:03,829 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.33418083190918s
- 2022-01-02 18:28:03,829 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:28:03,829 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:28:03,829 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 706
- 2022-01-02 18:28:19,641 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239674 Loss2 1.055529
- 2022-01-02 18:28:28,893 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278232, best_loss=0.277227
- 2022-01-02 18:28:34,281 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273496, best_loss=0.273287
- 2022-01-02 18:28:34,281 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45179009437561s
- 2022-01-02 18:28:34,281 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:28:34,281 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:28:34,281 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 707
- 2022-01-02 18:28:50,219 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251615 Loss2 1.056125
- 2022-01-02 18:28:59,486 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277864, best_loss=0.277227
- 2022-01-02 18:29:04,881 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273423, best_loss=0.273287
- 2022-01-02 18:29:04,881 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60018253326416s
- 2022-01-02 18:29:04,881 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:29:04,881 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:29:04,881 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 708
- 2022-01-02 18:29:20,826 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.223278 Loss2 0.870099
- 2022-01-02 18:29:30,063 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277557, best_loss=0.277227
- 2022-01-02 18:29:35,465 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273493, best_loss=0.273287
- 2022-01-02 18:29:35,466 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58459234237671s
- 2022-01-02 18:29:35,466 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:29:35,466 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:29:35,466 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 709
- 2022-01-02 18:29:51,212 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233090 Loss2 1.057834
- 2022-01-02 18:30:00,471 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277059, best_loss=0.277227
- 2022-01-02 18:30:00,490 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:30:05,860 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273507, best_loss=0.273287
- 2022-01-02 18:30:05,861 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.39503312110901s
- 2022-01-02 18:30:05,861 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:30:05,861 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:30:05,861 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 710
- 2022-01-02 18:30:21,607 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247204 Loss2 0.969866
- 2022-01-02 18:30:30,851 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277859, best_loss=0.277059
- 2022-01-02 18:30:36,159 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273597, best_loss=0.273287
- 2022-01-02 18:30:36,159 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.297795295715332s
- 2022-01-02 18:30:36,160 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:30:36,160 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:30:36,160 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 711
- 2022-01-02 18:30:51,996 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257797 Loss2 1.117511
- 2022-01-02 18:31:01,223 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277577, best_loss=0.277059
- 2022-01-02 18:31:06,658 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273419, best_loss=0.273287
- 2022-01-02 18:31:06,659 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.498852491378784s
- 2022-01-02 18:31:06,659 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:31:06,659 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:31:06,659 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 712
- 2022-01-02 18:31:22,587 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248328 Loss2 1.099203
- 2022-01-02 18:31:31,841 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277000, best_loss=0.277059
- 2022-01-02 18:31:31,860 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:31:37,235 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273332, best_loss=0.273287
- 2022-01-02 18:31:37,235 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57655167579651s
- 2022-01-02 18:31:37,236 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:31:37,236 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:31:37,236 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 713
- 2022-01-02 18:31:52,970 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266694 Loss2 1.032434
- 2022-01-02 18:32:02,222 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277658, best_loss=0.277000
- 2022-01-02 18:32:07,653 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273417, best_loss=0.273287
- 2022-01-02 18:32:07,654 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.418099880218506s
- 2022-01-02 18:32:07,654 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:32:07,654 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:32:07,654 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 714
- 2022-01-02 18:32:23,365 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255174 Loss2 1.053823
- 2022-01-02 18:32:32,617 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277180, best_loss=0.277000
- 2022-01-02 18:32:37,993 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273418, best_loss=0.273287
- 2022-01-02 18:32:37,993 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.339188814163208s
- 2022-01-02 18:32:37,993 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:32:37,993 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:32:37,993 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 715
- 2022-01-02 18:32:53,755 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247409 Loss2 1.034783
- 2022-01-02 18:33:03,014 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277148, best_loss=0.277000
- 2022-01-02 18:33:08,396 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273509, best_loss=0.273287
- 2022-01-02 18:33:08,396 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.401585578918457s
- 2022-01-02 18:33:08,396 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:33:08,396 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:33:08,396 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 716
- 2022-01-02 18:33:24,351 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247200 Loss2 1.059604
- 2022-01-02 18:33:33,608 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277802, best_loss=0.277000
- 2022-01-02 18:33:38,999 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273595, best_loss=0.273287
- 2022-01-02 18:33:39,000 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60392999649048s
- 2022-01-02 18:33:39,000 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:33:39,000 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:33:39,000 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 717
- 2022-01-02 18:33:54,923 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243725 Loss2 1.022446
- 2022-01-02 18:34:04,186 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278045, best_loss=0.277000
- 2022-01-02 18:34:09,584 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273214, best_loss=0.273287
- 2022-01-02 18:34:09,612 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:34:09,612 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.612462520599365s
- 2022-01-02 18:34:09,612 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:34:09,612 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:34:09,612 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 718
- 2022-01-02 18:34:25,922 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.262282 Loss2 1.076371
- 2022-01-02 18:34:35,174 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277073, best_loss=0.277000
- 2022-01-02 18:34:40,618 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273233, best_loss=0.273214
- 2022-01-02 18:34:40,619 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.006468534469604s
- 2022-01-02 18:34:40,619 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:34:40,619 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:34:40,619 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 719
- 2022-01-02 18:34:56,529 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.262607 Loss2 1.164455
- 2022-01-02 18:35:05,783 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276951, best_loss=0.277000
- 2022-01-02 18:35:05,801 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:35:11,159 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273264, best_loss=0.273214
- 2022-01-02 18:35:11,159 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.540462493896484s
- 2022-01-02 18:35:11,159 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:35:11,160 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:35:11,160 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 720
- 2022-01-02 18:35:26,915 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241251 Loss2 1.131151
- 2022-01-02 18:35:36,162 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277809, best_loss=0.276951
- 2022-01-02 18:35:41,345 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273451, best_loss=0.273214
- 2022-01-02 18:35:41,345 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.185431241989136s
- 2022-01-02 18:35:41,345 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:35:41,345 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:35:41,345 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 721
- 2022-01-02 18:35:57,294 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251096 Loss2 1.015390
- 2022-01-02 18:36:06,558 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277225, best_loss=0.276951
- 2022-01-02 18:36:11,948 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273196, best_loss=0.273214
- 2022-01-02 18:36:11,966 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:36:11,966 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.6212100982666s
- 2022-01-02 18:36:11,966 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:36:11,966 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:36:11,967 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 722
- 2022-01-02 18:36:27,694 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249793 Loss2 1.016027
- 2022-01-02 18:36:36,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277974, best_loss=0.276951
- 2022-01-02 18:36:42,340 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273363, best_loss=0.273196
- 2022-01-02 18:36:42,340 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.373276710510254s
- 2022-01-02 18:36:42,340 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:36:42,341 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:36:42,341 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 723
- 2022-01-02 18:36:58,088 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263973 Loss2 1.152221
- 2022-01-02 18:37:07,344 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276617, best_loss=0.276951
- 2022-01-02 18:37:07,363 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:37:12,688 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273401, best_loss=0.273196
- 2022-01-02 18:37:12,688 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.347498893737793s
- 2022-01-02 18:37:12,688 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:37:12,688 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:37:12,688 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 724
- 2022-01-02 18:37:28,473 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265526 Loss2 1.140231
- 2022-01-02 18:37:37,742 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277129, best_loss=0.276617
- 2022-01-02 18:37:43,113 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273522, best_loss=0.273196
- 2022-01-02 18:37:43,113 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.42482042312622s
- 2022-01-02 18:37:43,113 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:37:43,113 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:37:43,113 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 725
- 2022-01-02 18:37:59,059 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.268840 Loss2 1.120673
- 2022-01-02 18:38:08,322 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278630, best_loss=0.276617
- 2022-01-02 18:38:13,736 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273162, best_loss=0.273196
- 2022-01-02 18:38:13,754 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:38:13,754 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.64139986038208s
- 2022-01-02 18:38:13,754 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:38:13,754 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:38:13,754 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 726
- 2022-01-02 18:38:29,652 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254317 Loss2 1.189485
- 2022-01-02 18:38:38,915 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277538, best_loss=0.276617
- 2022-01-02 18:38:44,304 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273141, best_loss=0.273162
- 2022-01-02 18:38:44,322 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:38:44,323 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.568129539489746s
- 2022-01-02 18:38:44,323 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:38:44,323 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:38:44,323 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 727
- 2022-01-02 18:39:00,238 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256098 Loss2 1.201884
- 2022-01-02 18:39:09,503 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276520, best_loss=0.276617
- 2022-01-02 18:39:09,521 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:39:14,902 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273084, best_loss=0.273141
- 2022-01-02 18:39:14,921 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:39:14,921 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.598628520965576s
- 2022-01-02 18:39:14,921 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:39:14,921 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:39:14,921 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 728
- 2022-01-02 18:39:30,843 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240251 Loss2 0.977136
- 2022-01-02 18:39:40,104 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276870, best_loss=0.276520
- 2022-01-02 18:39:45,493 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273099, best_loss=0.273084
- 2022-01-02 18:39:45,494 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.571771144866943s
- 2022-01-02 18:39:45,494 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:39:45,494 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:39:45,494 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 729
- 2022-01-02 18:40:01,231 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275201 Loss2 1.152668
- 2022-01-02 18:40:10,488 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277384, best_loss=0.276520
- 2022-01-02 18:40:15,872 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273074, best_loss=0.273084
- 2022-01-02 18:40:15,889 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.396308660507202s
- 2022-01-02 18:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:40:15,890 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 730
- 2022-01-02 18:40:31,815 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266844 Loss2 1.058531
- 2022-01-02 18:40:41,074 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277164, best_loss=0.276520
- 2022-01-02 18:40:46,462 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273017, best_loss=0.273074
- 2022-01-02 18:40:46,480 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:40:46,481 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59099316596985s
- 2022-01-02 18:40:46,481 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:40:46,481 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:40:46,481 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 731
- 2022-01-02 18:41:02,393 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.224849 Loss2 1.003559
- 2022-01-02 18:41:11,653 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276434, best_loss=0.276520
- 2022-01-02 18:41:11,674 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:41:17,084 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273150, best_loss=0.273017
- 2022-01-02 18:41:17,084 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.603111505508423s
- 2022-01-02 18:41:17,084 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:41:17,085 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:41:17,085 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 732
- 2022-01-02 18:41:32,990 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.220951 Loss2 0.959015
- 2022-01-02 18:41:42,258 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.278189, best_loss=0.276434
- 2022-01-02 18:41:47,649 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273199, best_loss=0.273017
- 2022-01-02 18:41:47,649 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.564494848251343s
- 2022-01-02 18:41:47,649 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:41:47,649 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:41:47,650 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 733
- 2022-01-02 18:42:03,601 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257097 Loss2 1.070948
- 2022-01-02 18:42:12,854 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276573, best_loss=0.276434
- 2022-01-02 18:42:18,060 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273306, best_loss=0.273017
- 2022-01-02 18:42:18,060 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.4104163646698s
- 2022-01-02 18:42:18,061 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:42:18,061 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:42:18,061 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 734
- 2022-01-02 18:42:33,970 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248746 Loss2 0.912043
- 2022-01-02 18:42:43,236 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276081, best_loss=0.276434
- 2022-01-02 18:42:43,254 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:42:48,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273330, best_loss=0.273017
- 2022-01-02 18:42:48,558 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.49697756767273s
- 2022-01-02 18:42:48,558 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:42:48,558 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:42:48,558 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 735
- 2022-01-02 18:43:04,564 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.222522 Loss2 0.972518
- 2022-01-02 18:43:13,837 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276297, best_loss=0.276081
- 2022-01-02 18:43:19,180 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273254, best_loss=0.273017
- 2022-01-02 18:43:19,181 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62308931350708s
- 2022-01-02 18:43:19,181 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:43:19,181 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:43:19,181 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 736
- 2022-01-02 18:43:34,965 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251214 Loss2 1.038037
- 2022-01-02 18:43:44,220 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276202, best_loss=0.276081
- 2022-01-02 18:43:49,609 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273288, best_loss=0.273017
- 2022-01-02 18:43:49,609 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.427908420562744s
- 2022-01-02 18:43:49,610 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:43:49,610 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:43:49,610 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 737
- 2022-01-02 18:44:05,356 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242967 Loss2 1.027768
- 2022-01-02 18:44:14,625 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276616, best_loss=0.276081
- 2022-01-02 18:44:19,997 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273071, best_loss=0.273017
- 2022-01-02 18:44:19,997 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.387484073638916s
- 2022-01-02 18:44:19,997 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:44:19,997 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:44:19,997 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 738
- 2022-01-02 18:44:35,747 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239904 Loss2 1.024922
- 2022-01-02 18:44:45,008 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276784, best_loss=0.276081
- 2022-01-02 18:44:50,314 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273159, best_loss=0.273017
- 2022-01-02 18:44:50,314 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31692624092102s
- 2022-01-02 18:44:50,314 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:44:50,314 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:44:50,314 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 739
- 2022-01-02 18:45:06,144 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259397 Loss2 1.168742
- 2022-01-02 18:45:15,397 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276398, best_loss=0.276081
- 2022-01-02 18:45:20,804 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273031, best_loss=0.273017
- 2022-01-02 18:45:20,804 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.490256786346436s
- 2022-01-02 18:45:20,804 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:45:20,804 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:45:20,804 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 740
- 2022-01-02 18:45:36,530 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269420 Loss2 1.048048
- 2022-01-02 18:45:45,981 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276238, best_loss=0.276081
- 2022-01-02 18:45:51,383 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272897, best_loss=0.273017
- 2022-01-02 18:45:51,402 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:45:51,402 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.597913026809692s
- 2022-01-02 18:45:51,402 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:45:51,402 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:45:51,402 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 741
- 2022-01-02 18:46:07,313 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238504 Loss2 1.059104
- 2022-01-02 18:46:16,576 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276392, best_loss=0.276081
- 2022-01-02 18:46:21,982 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272680, best_loss=0.272897
- 2022-01-02 18:46:22,000 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:46:22,000 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.597928047180176s
- 2022-01-02 18:46:22,000 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:46:22,001 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:46:22,001 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 742
- 2022-01-02 18:46:37,899 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.218875 Loss2 0.949912
- 2022-01-02 18:46:47,164 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275988, best_loss=0.276081
- 2022-01-02 18:46:47,182 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:46:52,564 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272879, best_loss=0.272680
- 2022-01-02 18:46:52,565 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56403112411499s
- 2022-01-02 18:46:52,565 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:46:52,565 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:46:52,565 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 743
- 2022-01-02 18:47:08,488 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251140 Loss2 1.027217
- 2022-01-02 18:47:17,786 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276900, best_loss=0.275988
- 2022-01-02 18:47:23,144 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272764, best_loss=0.272680
- 2022-01-02 18:47:23,144 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57954430580139s
- 2022-01-02 18:47:23,144 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:47:23,144 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:47:23,144 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 744
- 2022-01-02 18:47:38,895 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261395 Loss2 1.109821
- 2022-01-02 18:47:48,141 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275961, best_loss=0.275988
- 2022-01-02 18:47:48,160 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:47:53,569 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272771, best_loss=0.272680
- 2022-01-02 18:47:53,569 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.42473530769348s
- 2022-01-02 18:47:53,569 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:47:53,569 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:47:53,569 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 745
- 2022-01-02 18:48:09,486 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259758 Loss2 1.010687
- 2022-01-02 18:48:18,768 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276316, best_loss=0.275961
- 2022-01-02 18:48:24,130 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272769, best_loss=0.272680
- 2022-01-02 18:48:24,130 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.560874223709106s
- 2022-01-02 18:48:24,130 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:48:24,130 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:48:24,130 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 746
- 2022-01-02 18:48:39,881 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.267295 Loss2 1.045135
- 2022-01-02 18:48:49,050 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276328, best_loss=0.275961
- 2022-01-02 18:48:54,336 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272749, best_loss=0.272680
- 2022-01-02 18:48:54,337 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.206655979156494s
- 2022-01-02 18:48:54,337 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:48:54,337 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:48:54,337 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 747
- 2022-01-02 18:49:10,257 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253917 Loss2 1.101444
- 2022-01-02 18:49:19,521 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277123, best_loss=0.275961
- 2022-01-02 18:49:24,745 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272879, best_loss=0.272680
- 2022-01-02 18:49:24,746 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40893793106079s
- 2022-01-02 18:49:24,746 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:49:24,746 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:49:24,746 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 748
- 2022-01-02 18:49:40,459 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259252 Loss2 0.991892
- 2022-01-02 18:49:49,714 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276717, best_loss=0.275961
- 2022-01-02 18:49:55,070 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272917, best_loss=0.272680
- 2022-01-02 18:49:55,070 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.323500633239746s
- 2022-01-02 18:49:55,070 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:49:55,070 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:49:55,070 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 749
- 2022-01-02 18:50:11,244 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256093 Loss2 1.069011
- 2022-01-02 18:50:20,493 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276491, best_loss=0.275961
- 2022-01-02 18:50:25,920 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272827, best_loss=0.272680
- 2022-01-02 18:50:25,921 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.85077452659607s
- 2022-01-02 18:50:25,921 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:50:25,921 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:50:25,921 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 750
- 2022-01-02 18:50:41,833 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239522 Loss2 1.056620
- 2022-01-02 18:50:51,087 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276058, best_loss=0.275961
- 2022-01-02 18:50:56,510 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272750, best_loss=0.272680
- 2022-01-02 18:50:56,510 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58927893638611s
- 2022-01-02 18:50:56,510 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:50:56,511 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:50:56,511 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 751
- 2022-01-02 18:51:12,233 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240746 Loss2 1.090262
- 2022-01-02 18:51:21,472 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275950, best_loss=0.275961
- 2022-01-02 18:51:21,490 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:51:26,823 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272588, best_loss=0.272680
- 2022-01-02 18:51:26,841 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:51:26,842 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.331040620803833s
- 2022-01-02 18:51:26,842 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:51:26,842 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:51:26,842 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 752
- 2022-01-02 18:51:42,627 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243607 Loss2 1.148078
- 2022-01-02 18:51:51,885 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275798, best_loss=0.275950
- 2022-01-02 18:51:51,903 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:51:57,261 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272720, best_loss=0.272588
- 2022-01-02 18:51:57,262 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.419434070587158s
- 2022-01-02 18:51:57,262 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:51:57,262 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:51:57,262 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 753
- 2022-01-02 18:52:13,216 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231113 Loss2 0.977612
- 2022-01-02 18:52:22,464 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276065, best_loss=0.275798
- 2022-01-02 18:52:27,870 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272704, best_loss=0.272588
- 2022-01-02 18:52:27,870 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.608381032943726s
- 2022-01-02 18:52:27,870 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:52:27,870 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:52:27,871 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 754
- 2022-01-02 18:52:43,797 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231496 Loss2 1.054876
- 2022-01-02 18:52:53,051 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276243, best_loss=0.275798
- 2022-01-02 18:52:58,457 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272915, best_loss=0.272588
- 2022-01-02 18:52:58,458 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.587392807006836s
- 2022-01-02 18:52:58,458 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:52:58,458 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:52:58,458 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 755
- 2022-01-02 18:53:14,386 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260706 Loss2 1.054136
- 2022-01-02 18:53:23,648 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276390, best_loss=0.275798
- 2022-01-02 18:53:29,048 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272891, best_loss=0.272588
- 2022-01-02 18:53:29,049 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59031105041504s
- 2022-01-02 18:53:29,049 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:53:29,049 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:53:29,049 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 756
- 2022-01-02 18:53:44,957 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274733 Loss2 1.077410
- 2022-01-02 18:53:54,240 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275853, best_loss=0.275798
- 2022-01-02 18:53:59,634 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272997, best_loss=0.272588
- 2022-01-02 18:53:59,634 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.584671020507812s
- 2022-01-02 18:53:59,634 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:53:59,634 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:53:59,634 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 757
- 2022-01-02 18:54:15,570 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253021 Loss2 1.161445
- 2022-01-02 18:54:24,859 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276650, best_loss=0.275798
- 2022-01-02 18:54:30,226 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273029, best_loss=0.272588
- 2022-01-02 18:54:30,227 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592339277267456s
- 2022-01-02 18:54:30,227 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:54:30,227 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:54:30,227 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 758
- 2022-01-02 18:54:46,177 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279983 Loss2 1.176053
- 2022-01-02 18:54:55,423 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276659, best_loss=0.275798
- 2022-01-02 18:55:00,854 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273031, best_loss=0.272588
- 2022-01-02 18:55:00,855 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.62744450569153s
- 2022-01-02 18:55:00,855 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:55:00,855 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:55:00,855 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 759
- 2022-01-02 18:55:16,768 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229575 Loss2 1.045895
- 2022-01-02 18:55:26,024 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275432, best_loss=0.275798
- 2022-01-02 18:55:26,042 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:55:31,411 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272909, best_loss=0.272588
- 2022-01-02 18:55:31,412 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.557239294052124s
- 2022-01-02 18:55:31,412 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:55:31,412 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:55:31,412 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 760
- 2022-01-02 18:55:47,342 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255340 Loss2 1.133959
- 2022-01-02 18:55:56,599 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275621, best_loss=0.275432
- 2022-01-02 18:56:02,001 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272966, best_loss=0.272588
- 2022-01-02 18:56:02,001 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.588699102401733s
- 2022-01-02 18:56:02,001 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:56:02,001 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:56:02,001 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 761
- 2022-01-02 18:56:17,933 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245864 Loss2 1.131691
- 2022-01-02 18:56:27,204 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275634, best_loss=0.275432
- 2022-01-02 18:56:32,599 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272974, best_loss=0.272588
- 2022-01-02 18:56:32,599 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.598133325576782s
- 2022-01-02 18:56:32,599 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:56:32,600 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:56:32,600 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 762
- 2022-01-02 18:56:48,548 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253921 Loss2 1.059456
- 2022-01-02 18:56:57,755 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276170, best_loss=0.275432
- 2022-01-02 18:57:03,000 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272967, best_loss=0.272588
- 2022-01-02 18:57:03,000 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.400397062301636s
- 2022-01-02 18:57:03,000 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:57:03,000 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:57:03,000 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 763
- 2022-01-02 18:57:18,931 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.212590 Loss2 0.984156
- 2022-01-02 18:57:28,170 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276424, best_loss=0.275432
- 2022-01-02 18:57:33,600 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.272969, best_loss=0.272588
- 2022-01-02 18:57:33,600 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59981679916382s
- 2022-01-02 18:57:33,600 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:57:33,600 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:57:33,600 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 764
- 2022-01-02 18:57:49,527 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252806 Loss2 1.125396
- 2022-01-02 18:57:58,772 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275868, best_loss=0.275432
- 2022-01-02 18:58:04,176 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273205, best_loss=0.272588
- 2022-01-02 18:58:04,176 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.576383352279663s
- 2022-01-02 18:58:04,176 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:58:04,176 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:58:04,176 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 765
- 2022-01-02 18:58:20,127 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245345 Loss2 1.045251
- 2022-01-02 18:58:29,369 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275424, best_loss=0.275432
- 2022-01-02 18:58:29,387 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 18:58:34,766 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273260, best_loss=0.272588
- 2022-01-02 18:58:34,766 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589811086654663s
- 2022-01-02 18:58:34,766 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:58:34,766 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:58:34,766 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 766
- 2022-01-02 18:58:50,711 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.221515 Loss2 0.952302
- 2022-01-02 18:58:59,962 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275678, best_loss=0.275424
- 2022-01-02 18:59:05,337 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273247, best_loss=0.272588
- 2022-01-02 18:59:05,337 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57120990753174s
- 2022-01-02 18:59:05,337 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:59:05,337 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:59:05,337 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 767
- 2022-01-02 18:59:21,301 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.272838 Loss2 1.081821
- 2022-01-02 18:59:30,546 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276017, best_loss=0.275424
- 2022-01-02 18:59:35,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273154, best_loss=0.272588
- 2022-01-02 18:59:35,949 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.6117205619812s
- 2022-01-02 18:59:35,949 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 18:59:35,949 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 18:59:35,949 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 768
- 2022-01-02 18:59:51,892 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234901 Loss2 0.990583
- 2022-01-02 19:00:01,141 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276117, best_loss=0.275424
- 2022-01-02 19:00:06,529 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273235, best_loss=0.272588
- 2022-01-02 19:00:06,530 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.580583333969116s
- 2022-01-02 19:00:06,530 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:00:06,530 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:00:06,530 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 769
- 2022-01-02 19:00:22,459 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250550 Loss2 1.045410
- 2022-01-02 19:00:31,729 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275554, best_loss=0.275424
- 2022-01-02 19:00:37,120 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273310, best_loss=0.272588
- 2022-01-02 19:00:37,121 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590553522109985s
- 2022-01-02 19:00:37,121 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:00:37,121 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:00:37,121 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 770
- 2022-01-02 19:00:52,865 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234178 Loss2 1.000635
- 2022-01-02 19:01:02,109 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276373, best_loss=0.275424
- 2022-01-02 19:01:07,429 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273333, best_loss=0.272588
- 2022-01-02 19:01:07,429 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.308609008789062s
- 2022-01-02 19:01:07,429 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:01:07,429 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:01:07,430 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 771
- 2022-01-02 19:01:23,255 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242270 Loss2 1.175131
- 2022-01-02 19:01:32,516 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277086, best_loss=0.275424
- 2022-01-02 19:01:38,125 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273430, best_loss=0.272588
- 2022-01-02 19:01:38,125 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.695358991622925s
- 2022-01-02 19:01:38,125 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:01:38,125 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:01:38,125 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 772
- 2022-01-02 19:01:54,052 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.293848 Loss2 1.099488
- 2022-01-02 19:02:03,286 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276360, best_loss=0.275424
- 2022-01-02 19:02:08,625 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273310, best_loss=0.272588
- 2022-01-02 19:02:08,625 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.499833345413208s
- 2022-01-02 19:02:08,625 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:02:08,626 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:02:08,626 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 773
- 2022-01-02 19:02:24,456 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248762 Loss2 1.143292
- 2022-01-02 19:02:33,659 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.277187, best_loss=0.275424
- 2022-01-02 19:02:39,081 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273455, best_loss=0.272588
- 2022-01-02 19:02:39,082 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45606827735901s
- 2022-01-02 19:02:39,082 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:02:39,082 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:02:39,082 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 774
- 2022-01-02 19:02:54,839 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241308 Loss2 0.996507
- 2022-01-02 19:03:04,086 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275631, best_loss=0.275424
- 2022-01-02 19:03:09,468 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273390, best_loss=0.272588
- 2022-01-02 19:03:09,469 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.386948347091675s
- 2022-01-02 19:03:09,469 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:03:09,469 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:03:09,469 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 775
- 2022-01-02 19:03:25,415 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229021 Loss2 0.966814
- 2022-01-02 19:03:34,660 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276382, best_loss=0.275424
- 2022-01-02 19:03:40,096 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273375, best_loss=0.272588
- 2022-01-02 19:03:40,096 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.626860857009888s
- 2022-01-02 19:03:40,096 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:03:40,096 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:03:40,096 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 776
- 2022-01-02 19:03:56,000 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241055 Loss2 1.058789
- 2022-01-02 19:04:05,254 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275870, best_loss=0.275424
- 2022-01-02 19:04:10,654 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273307, best_loss=0.272588
- 2022-01-02 19:04:10,654 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.557525157928467s
- 2022-01-02 19:04:10,654 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:04:10,654 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:04:10,654 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 777
- 2022-01-02 19:04:26,603 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266929 Loss2 1.085090
- 2022-01-02 19:04:35,848 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275906, best_loss=0.275424
- 2022-01-02 19:04:41,252 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273425, best_loss=0.272588
- 2022-01-02 19:04:41,252 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.598466157913208s
- 2022-01-02 19:04:41,252 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:04:41,252 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:04:41,253 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 778
- 2022-01-02 19:04:57,204 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259012 Loss2 1.047182
- 2022-01-02 19:05:06,461 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276281, best_loss=0.275424
- 2022-01-02 19:05:11,844 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273530, best_loss=0.272588
- 2022-01-02 19:05:11,844 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59123134613037s
- 2022-01-02 19:05:11,844 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:05:11,844 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:05:11,844 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 779
- 2022-01-02 19:05:27,780 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247752 Loss2 1.086651
- 2022-01-02 19:05:37,037 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276176, best_loss=0.275424
- 2022-01-02 19:05:42,421 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273499, best_loss=0.272588
- 2022-01-02 19:05:42,421 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57721209526062s
- 2022-01-02 19:05:42,422 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:05:42,422 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:05:42,422 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 780
- 2022-01-02 19:05:58,172 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248501 Loss2 1.081235
- 2022-01-02 19:06:07,415 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275350, best_loss=0.275424
- 2022-01-02 19:06:07,434 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:06:12,758 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273535, best_loss=0.272588
- 2022-01-02 19:06:12,759 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.336793422698975s
- 2022-01-02 19:06:12,759 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:06:12,759 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:06:12,759 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 781
- 2022-01-02 19:06:28,754 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242746 Loss2 1.133217
- 2022-01-02 19:06:38,029 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276314, best_loss=0.275350
- 2022-01-02 19:06:43,356 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273343, best_loss=0.272588
- 2022-01-02 19:06:43,356 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59713101387024s
- 2022-01-02 19:06:43,356 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:06:43,356 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:06:43,356 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 782
- 2022-01-02 19:06:59,333 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255878 Loss2 1.143368
- 2022-01-02 19:07:08,628 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275781, best_loss=0.275350
- 2022-01-02 19:07:13,949 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273401, best_loss=0.272588
- 2022-01-02 19:07:13,949 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.592243671417236s
- 2022-01-02 19:07:13,949 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:07:13,949 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:07:13,949 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 783
- 2022-01-02 19:07:29,749 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.244239 Loss2 1.041134
- 2022-01-02 19:07:39,014 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275593, best_loss=0.275350
- 2022-01-02 19:07:44,391 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273465, best_loss=0.272588
- 2022-01-02 19:07:44,391 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.442342519760132s
- 2022-01-02 19:07:44,391 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:07:44,391 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:07:44,391 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 784
- 2022-01-02 19:08:00,348 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254410 Loss2 1.098976
- 2022-01-02 19:08:09,597 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275457, best_loss=0.275350
- 2022-01-02 19:08:14,999 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273430, best_loss=0.272588
- 2022-01-02 19:08:15,000 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.607780933380127s
- 2022-01-02 19:08:15,000 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:08:15,000 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:08:15,000 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 785
- 2022-01-02 19:08:30,913 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251438 Loss2 1.097041
- 2022-01-02 19:08:40,183 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275474, best_loss=0.275350
- 2022-01-02 19:08:45,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273418, best_loss=0.272588
- 2022-01-02 19:08:45,573 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.573177576065063s
- 2022-01-02 19:08:45,573 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:08:45,573 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:08:45,573 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 786
- 2022-01-02 19:09:01,492 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229457 Loss2 0.961791
- 2022-01-02 19:09:10,774 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275344, best_loss=0.275350
- 2022-01-02 19:09:10,793 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:09:16,173 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273290, best_loss=0.272588
- 2022-01-02 19:09:16,173 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59956169128418s
- 2022-01-02 19:09:16,173 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:09:16,173 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:09:16,173 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 787
- 2022-01-02 19:09:32,105 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250568 Loss2 1.133243
- 2022-01-02 19:09:41,360 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275256, best_loss=0.275344
- 2022-01-02 19:09:41,378 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:09:46,760 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273257, best_loss=0.272588
- 2022-01-02 19:09:46,760 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.585999250411987s
- 2022-01-02 19:09:46,760 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:09:46,760 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:09:46,760 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 788
- 2022-01-02 19:10:02,903 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.198758 Loss2 0.815820
- 2022-01-02 19:10:12,153 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275604, best_loss=0.275256
- 2022-01-02 19:10:17,474 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273245, best_loss=0.272588
- 2022-01-02 19:10:17,475 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.7145836353302s
- 2022-01-02 19:10:17,475 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:10:17,475 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:10:17,475 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 789
- 2022-01-02 19:10:33,299 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.232245 Loss2 1.057712
- 2022-01-02 19:10:42,541 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.276089, best_loss=0.275256
- 2022-01-02 19:10:47,959 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273223, best_loss=0.272588
- 2022-01-02 19:10:47,959 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.48448348045349s
- 2022-01-02 19:10:47,959 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:10:47,959 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:10:47,959 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 790
- 2022-01-02 19:11:03,886 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255140 Loss2 1.066962
- 2022-01-02 19:11:13,082 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275226, best_loss=0.275256
- 2022-01-02 19:11:13,100 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:11:18,334 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273389, best_loss=0.272588
- 2022-01-02 19:11:18,334 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37540578842163s
- 2022-01-02 19:11:18,334 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:11:18,335 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:11:18,335 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 791
- 2022-01-02 19:11:34,255 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243161 Loss2 1.024833
- 2022-01-02 19:11:43,944 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275697, best_loss=0.275226
- 2022-01-02 19:11:49,244 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273284, best_loss=0.272588
- 2022-01-02 19:11:49,244 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.909156322479248s
- 2022-01-02 19:11:49,244 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:11:49,244 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:11:49,245 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 792
- 2022-01-02 19:12:05,263 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231666 Loss2 1.113510
- 2022-01-02 19:12:14,505 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275634, best_loss=0.275226
- 2022-01-02 19:12:19,840 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273181, best_loss=0.272588
- 2022-01-02 19:12:19,840 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.5953528881073s
- 2022-01-02 19:12:19,840 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:12:19,840 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:12:19,840 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 793
- 2022-01-02 19:12:35,651 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247188 Loss2 1.096132
- 2022-01-02 19:12:44,905 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275624, best_loss=0.275226
- 2022-01-02 19:12:50,298 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273278, best_loss=0.272588
- 2022-01-02 19:12:50,298 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45750093460083s
- 2022-01-02 19:12:50,298 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:12:50,298 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:12:50,298 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 794
- 2022-01-02 19:13:06,054 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253174 Loss2 1.188505
- 2022-01-02 19:13:15,308 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275609, best_loss=0.275226
- 2022-01-02 19:13:20,687 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273418, best_loss=0.272588
- 2022-01-02 19:13:20,687 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38945984840393s
- 2022-01-02 19:13:20,687 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:13:20,687 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:13:20,687 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 795
- 2022-01-02 19:13:36,430 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236868 Loss2 0.938293
- 2022-01-02 19:13:45,716 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275630, best_loss=0.275226
- 2022-01-02 19:13:51,056 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273376, best_loss=0.272588
- 2022-01-02 19:13:51,056 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.3689227104187s
- 2022-01-02 19:13:51,056 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:13:51,056 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:13:51,056 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 796
- 2022-01-02 19:14:07,006 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250944 Loss2 1.078141
- 2022-01-02 19:14:16,272 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275271, best_loss=0.275226
- 2022-01-02 19:14:21,468 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273460, best_loss=0.272588
- 2022-01-02 19:14:21,469 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41210651397705s
- 2022-01-02 19:14:21,469 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:14:21,469 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:14:21,469 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 797
- 2022-01-02 19:14:37,221 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250517 Loss2 0.996629
- 2022-01-02 19:14:46,474 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275877, best_loss=0.275226
- 2022-01-02 19:14:51,859 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273377, best_loss=0.272588
- 2022-01-02 19:14:51,860 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.391061782836914s
- 2022-01-02 19:14:51,860 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:14:51,860 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:14:51,860 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 798
- 2022-01-02 19:15:08,005 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.222588 Loss2 0.963783
- 2022-01-02 19:15:17,264 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275551, best_loss=0.275226
- 2022-01-02 19:15:22,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273323, best_loss=0.272588
- 2022-01-02 19:15:22,656 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.796027183532715s
- 2022-01-02 19:15:22,656 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:15:22,657 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:15:22,657 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 799
- 2022-01-02 19:15:38,596 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242750 Loss2 1.000773
- 2022-01-02 19:15:47,858 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275725, best_loss=0.275226
- 2022-01-02 19:15:53,253 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273364, best_loss=0.272588
- 2022-01-02 19:15:53,254 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.597116947174072s
- 2022-01-02 19:15:53,254 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:15:53,254 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:15:53,254 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 800
- 2022-01-02 19:16:09,179 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250142 Loss2 1.003281
- 2022-01-02 19:16:18,447 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275355, best_loss=0.275226
- 2022-01-02 19:16:23,850 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273396, best_loss=0.272588
- 2022-01-02 19:16:23,850 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.596394300460815s
- 2022-01-02 19:16:23,850 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:16:23,850 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:16:23,850 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 801
- 2022-01-02 19:16:39,767 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256891 Loss2 1.111199
- 2022-01-02 19:16:49,056 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275814, best_loss=0.275226
- 2022-01-02 19:16:54,431 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273488, best_loss=0.272588
- 2022-01-02 19:16:54,432 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.581509113311768s
- 2022-01-02 19:16:54,432 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:16:54,432 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:16:54,432 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 802
- 2022-01-02 19:17:10,372 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254283 Loss2 1.082412
- 2022-01-02 19:17:19,641 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275970, best_loss=0.275226
- 2022-01-02 19:17:24,969 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273496, best_loss=0.272588
- 2022-01-02 19:17:24,970 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.53774404525757s
- 2022-01-02 19:17:24,970 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:17:24,970 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:17:24,970 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 803
- 2022-01-02 19:17:40,765 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243526 Loss2 1.018534
- 2022-01-02 19:17:50,041 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275699, best_loss=0.275226
- 2022-01-02 19:17:55,405 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273425, best_loss=0.272588
- 2022-01-02 19:17:55,405 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.435554265975952s
- 2022-01-02 19:17:55,405 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:17:55,405 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:17:55,406 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 804
- 2022-01-02 19:18:11,351 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257592 Loss2 1.071695
- 2022-01-02 19:18:20,609 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274946, best_loss=0.275226
- 2022-01-02 19:18:20,627 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:18:26,023 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273336, best_loss=0.272588
- 2022-01-02 19:18:26,023 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61736226081848s
- 2022-01-02 19:18:26,023 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:18:26,023 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:18:26,024 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 805
- 2022-01-02 19:18:41,940 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260566 Loss2 1.123802
- 2022-01-02 19:18:51,203 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275384, best_loss=0.274946
- 2022-01-02 19:18:56,595 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273166, best_loss=0.272588
- 2022-01-02 19:18:56,595 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.571048736572266s
- 2022-01-02 19:18:56,595 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:18:56,595 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:18:56,595 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 806
- 2022-01-02 19:19:12,349 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263569 Loss2 1.066909
- 2022-01-02 19:19:21,586 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274733, best_loss=0.274946
- 2022-01-02 19:19:21,603 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:19:26,913 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273169, best_loss=0.272588
- 2022-01-02 19:19:26,914 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31852650642395s
- 2022-01-02 19:19:26,914 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:19:26,914 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:19:26,914 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 807
- 2022-01-02 19:19:42,916 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242814 Loss2 1.013311
- 2022-01-02 19:19:52,174 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275401, best_loss=0.274733
- 2022-01-02 19:19:57,366 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273241, best_loss=0.272588
- 2022-01-02 19:19:57,366 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45193600654602s
- 2022-01-02 19:19:57,366 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:19:57,366 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:19:57,367 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 808
- 2022-01-02 19:20:13,289 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242257 Loss2 1.053864
- 2022-01-02 19:20:22,557 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275095, best_loss=0.274733
- 2022-01-02 19:20:27,777 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273220, best_loss=0.272588
- 2022-01-02 19:20:27,778 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.410918712615967s
- 2022-01-02 19:20:27,778 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:20:27,778 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:20:27,778 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 809
- 2022-01-02 19:20:43,696 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246882 Loss2 1.075357
- 2022-01-02 19:20:52,954 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274703, best_loss=0.274733
- 2022-01-02 19:20:52,979 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:20:58,395 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273266, best_loss=0.272588
- 2022-01-02 19:20:58,395 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.617399215698242s
- 2022-01-02 19:20:58,395 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:20:58,395 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:20:58,395 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 810
- 2022-01-02 19:21:14,299 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239163 Loss2 1.014565
- 2022-01-02 19:21:23,552 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275408, best_loss=0.274703
- 2022-01-02 19:21:29,180 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273306, best_loss=0.272588
- 2022-01-02 19:21:29,180 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.78502368927002s
- 2022-01-02 19:21:29,180 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:21:29,180 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:21:29,180 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 811
- 2022-01-02 19:21:45,085 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236294 Loss2 1.022770
- 2022-01-02 19:21:54,355 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274922, best_loss=0.274703
- 2022-01-02 19:21:59,767 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273222, best_loss=0.272588
- 2022-01-02 19:21:59,767 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.586844444274902s
- 2022-01-02 19:21:59,767 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:21:59,767 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:21:59,768 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 812
- 2022-01-02 19:22:15,882 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235912 Loss2 0.977490
- 2022-01-02 19:22:25,133 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274942, best_loss=0.274703
- 2022-01-02 19:22:30,453 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273111, best_loss=0.272588
- 2022-01-02 19:22:30,454 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.685955286026s
- 2022-01-02 19:22:30,454 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:22:30,454 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:22:30,454 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 813
- 2022-01-02 19:22:46,268 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.272565 Loss2 1.104028
- 2022-01-02 19:22:55,526 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275248, best_loss=0.274703
- 2022-01-02 19:23:00,915 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273244, best_loss=0.272588
- 2022-01-02 19:23:00,915 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46110224723816s
- 2022-01-02 19:23:00,915 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:23:00,916 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:23:00,916 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 814
- 2022-01-02 19:23:16,855 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245190 Loss2 1.098597
- 2022-01-02 19:23:26,129 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274593, best_loss=0.274703
- 2022-01-02 19:23:26,148 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:23:31,500 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273230, best_loss=0.272588
- 2022-01-02 19:23:31,501 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.585303783416748s
- 2022-01-02 19:23:31,501 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:23:31,501 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:23:31,501 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 815
- 2022-01-02 19:23:47,251 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254052 Loss2 1.072562
- 2022-01-02 19:23:56,508 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275214, best_loss=0.274593
- 2022-01-02 19:24:01,894 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273231, best_loss=0.272588
- 2022-01-02 19:24:01,895 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.393877506256104s
- 2022-01-02 19:24:01,895 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:24:01,895 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:24:01,895 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 816
- 2022-01-02 19:24:17,642 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231779 Loss2 1.045788
- 2022-01-02 19:24:26,887 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275650, best_loss=0.274593
- 2022-01-02 19:24:32,091 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273461, best_loss=0.272588
- 2022-01-02 19:24:32,091 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.195637464523315s
- 2022-01-02 19:24:32,091 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:24:32,091 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:24:32,091 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 817
- 2022-01-02 19:24:47,826 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246835 Loss2 0.981275
- 2022-01-02 19:24:57,101 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274960, best_loss=0.274593
- 2022-01-02 19:25:02,297 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273461, best_loss=0.272588
- 2022-01-02 19:25:02,298 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.206337451934814s
- 2022-01-02 19:25:02,298 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:25:02,298 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:25:02,298 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 818
- 2022-01-02 19:25:18,213 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253226 Loss2 1.121469
- 2022-01-02 19:25:27,452 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275288, best_loss=0.274593
- 2022-01-02 19:25:32,787 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273466, best_loss=0.272588
- 2022-01-02 19:25:32,788 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.490232229232788s
- 2022-01-02 19:25:32,788 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:25:32,788 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:25:32,788 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 819
- 2022-01-02 19:25:48,611 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.223020 Loss2 1.012776
- 2022-01-02 19:25:57,860 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275557, best_loss=0.274593
- 2022-01-02 19:26:03,266 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273482, best_loss=0.272588
- 2022-01-02 19:26:03,266 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.478298902511597s
- 2022-01-02 19:26:03,266 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:26:03,266 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:26:03,266 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 820
- 2022-01-02 19:26:19,005 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.264890 Loss2 1.123045
- 2022-01-02 19:26:28,265 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275339, best_loss=0.274593
- 2022-01-02 19:26:33,647 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273580, best_loss=0.272588
- 2022-01-02 19:26:33,647 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38100266456604s
- 2022-01-02 19:26:33,647 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:26:33,647 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:26:33,647 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 821
- 2022-01-02 19:26:49,393 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235236 Loss2 1.099058
- 2022-01-02 19:26:58,645 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275132, best_loss=0.274593
- 2022-01-02 19:27:03,836 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273458, best_loss=0.272588
- 2022-01-02 19:27:03,836 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.188883543014526s
- 2022-01-02 19:27:03,836 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:27:03,836 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:27:03,837 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 822
- 2022-01-02 19:27:19,586 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241666 Loss2 1.073702
- 2022-01-02 19:27:28,844 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275795, best_loss=0.274593
- 2022-01-02 19:27:34,227 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273482, best_loss=0.272588
- 2022-01-02 19:27:34,227 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.39084768295288s
- 2022-01-02 19:27:34,227 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:27:34,227 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:27:34,227 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 823
- 2022-01-02 19:27:49,978 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246224 Loss2 1.111254
- 2022-01-02 19:27:59,206 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275585, best_loss=0.274593
- 2022-01-02 19:28:04,411 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273514, best_loss=0.272588
- 2022-01-02 19:28:04,411 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.183621406555176s
- 2022-01-02 19:28:04,411 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:28:04,411 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:28:04,411 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 824
- 2022-01-02 19:28:20,166 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236811 Loss2 0.975883
- 2022-01-02 19:28:29,407 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275175, best_loss=0.274593
- 2022-01-02 19:28:34,809 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273383, best_loss=0.272588
- 2022-01-02 19:28:34,809 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.397507429122925s
- 2022-01-02 19:28:34,809 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:28:34,809 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:28:34,809 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 825
- 2022-01-02 19:28:50,754 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241424 Loss2 1.038233
- 2022-01-02 19:29:00,011 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275339, best_loss=0.274593
- 2022-01-02 19:29:05,398 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273438, best_loss=0.272588
- 2022-01-02 19:29:05,398 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589280605316162s
- 2022-01-02 19:29:05,399 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:29:05,399 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:29:05,399 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 826
- 2022-01-02 19:29:21,148 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240548 Loss2 1.017248
- 2022-01-02 19:29:30,406 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275214, best_loss=0.274593
- 2022-01-02 19:29:35,587 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273507, best_loss=0.272588
- 2022-01-02 19:29:35,587 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.188182830810547s
- 2022-01-02 19:29:35,587 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:29:35,587 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:29:35,587 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 827
- 2022-01-02 19:29:51,345 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233946 Loss2 0.968329
- 2022-01-02 19:30:00,594 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275108, best_loss=0.274593
- 2022-01-02 19:30:05,992 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273518, best_loss=0.272588
- 2022-01-02 19:30:05,993 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40566086769104s
- 2022-01-02 19:30:05,993 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:30:05,993 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:30:05,993 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 828
- 2022-01-02 19:30:21,934 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249147 Loss2 1.109902
- 2022-01-02 19:30:31,189 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274998, best_loss=0.274593
- 2022-01-02 19:30:36,574 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273448, best_loss=0.272588
- 2022-01-02 19:30:36,575 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.581897258758545s
- 2022-01-02 19:30:36,575 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:30:36,575 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:30:36,575 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 829
- 2022-01-02 19:30:52,325 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257354 Loss2 1.062826
- 2022-01-02 19:31:01,558 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275617, best_loss=0.274593
- 2022-01-02 19:31:06,760 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273485, best_loss=0.272588
- 2022-01-02 19:31:06,761 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18597650527954s
- 2022-01-02 19:31:06,761 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:31:06,761 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:31:06,761 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 830
- 2022-01-02 19:31:22,514 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.277889 Loss2 1.133542
- 2022-01-02 19:31:31,765 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274971, best_loss=0.274593
- 2022-01-02 19:31:37,168 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273578, best_loss=0.272588
- 2022-01-02 19:31:37,168 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40771794319153s
- 2022-01-02 19:31:37,168 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:31:37,168 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:31:37,168 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 831
- 2022-01-02 19:31:53,093 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.237221 Loss2 0.931839
- 2022-01-02 19:32:02,565 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274768, best_loss=0.274593
- 2022-01-02 19:32:08,169 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273609, best_loss=0.272588
- 2022-01-02 19:32:08,169 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 31.001124382019043s
- 2022-01-02 19:32:08,169 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:32:08,170 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:32:08,170 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 832
- 2022-01-02 19:32:24,091 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234547 Loss2 0.953606
- 2022-01-02 19:32:33,321 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274553, best_loss=0.274593
- 2022-01-02 19:32:33,339 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:32:38,700 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273647, best_loss=0.272588
- 2022-01-02 19:32:38,701 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.530991792678833s
- 2022-01-02 19:32:38,701 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:32:38,701 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:32:38,701 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 833
- 2022-01-02 19:32:54,494 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.232117 Loss2 1.011251
- 2022-01-02 19:33:03,734 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275079, best_loss=0.274553
- 2022-01-02 19:33:09,162 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273582, best_loss=0.272588
- 2022-01-02 19:33:09,163 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.461206912994385s
- 2022-01-02 19:33:09,163 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:33:09,163 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:33:09,163 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 834
- 2022-01-02 19:33:25,080 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234189 Loss2 1.085171
- 2022-01-02 19:33:34,339 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275056, best_loss=0.274553
- 2022-01-02 19:33:39,738 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273689, best_loss=0.272588
- 2022-01-02 19:33:39,739 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.576302766799927s
- 2022-01-02 19:33:39,739 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:33:39,739 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:33:39,739 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 835
- 2022-01-02 19:33:55,659 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.265835 Loss2 1.155652
- 2022-01-02 19:34:04,929 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274951, best_loss=0.274553
- 2022-01-02 19:34:10,313 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273788, best_loss=0.272588
- 2022-01-02 19:34:10,313 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.574148178100586s
- 2022-01-02 19:34:10,313 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:34:10,313 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:34:10,313 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 836
- 2022-01-02 19:34:26,462 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.259734 Loss2 1.075412
- 2022-01-02 19:34:35,711 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275258, best_loss=0.274553
- 2022-01-02 19:34:40,895 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273610, best_loss=0.272588
- 2022-01-02 19:34:40,895 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58210277557373s
- 2022-01-02 19:34:40,895 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:34:40,896 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:34:40,896 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 837
- 2022-01-02 19:34:56,654 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252076 Loss2 1.024871
- 2022-01-02 19:35:05,901 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274990, best_loss=0.274553
- 2022-01-02 19:35:11,304 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273636, best_loss=0.272588
- 2022-01-02 19:35:11,305 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40897035598755s
- 2022-01-02 19:35:11,305 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:35:11,305 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:35:11,305 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 838
- 2022-01-02 19:35:27,224 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239558 Loss2 1.022629
- 2022-01-02 19:35:36,299 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275299, best_loss=0.274553
- 2022-01-02 19:35:41,617 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273631, best_loss=0.272588
- 2022-01-02 19:35:41,618 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.31291675567627s
- 2022-01-02 19:35:41,618 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:35:41,618 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:35:41,618 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 839
- 2022-01-02 19:35:57,423 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239636 Loss2 1.022951
- 2022-01-02 19:36:06,688 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275252, best_loss=0.274553
- 2022-01-02 19:36:12,082 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273779, best_loss=0.272588
- 2022-01-02 19:36:12,082 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46427035331726s
- 2022-01-02 19:36:12,082 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:36:12,082 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:36:12,082 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 840
- 2022-01-02 19:36:27,824 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249066 Loss2 1.127767
- 2022-01-02 19:36:37,082 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274970, best_loss=0.274553
- 2022-01-02 19:36:42,464 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273757, best_loss=0.272588
- 2022-01-02 19:36:42,464 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38194227218628s
- 2022-01-02 19:36:42,464 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:36:42,464 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:36:42,465 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 841
- 2022-01-02 19:36:58,215 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.226789 Loss2 0.967723
- 2022-01-02 19:37:07,449 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275511, best_loss=0.274553
- 2022-01-02 19:37:12,780 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273751, best_loss=0.272588
- 2022-01-02 19:37:12,781 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.315910816192627s
- 2022-01-02 19:37:12,781 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:37:12,781 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:37:12,781 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 842
- 2022-01-02 19:37:28,613 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.237358 Loss2 1.045598
- 2022-01-02 19:37:37,853 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274926, best_loss=0.274553
- 2022-01-02 19:37:43,264 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273845, best_loss=0.272588
- 2022-01-02 19:37:43,265 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.483909130096436s
- 2022-01-02 19:37:43,265 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:37:43,265 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:37:43,265 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 843
- 2022-01-02 19:37:59,189 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245356 Loss2 1.113180
- 2022-01-02 19:38:08,446 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275394, best_loss=0.274553
- 2022-01-02 19:38:13,834 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273793, best_loss=0.272588
- 2022-01-02 19:38:13,834 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.569652557373047s
- 2022-01-02 19:38:13,834 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:38:13,834 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:38:13,834 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 844
- 2022-01-02 19:38:29,587 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250805 Loss2 1.035561
- 2022-01-02 19:38:38,652 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275191, best_loss=0.274553
- 2022-01-02 19:38:43,960 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273677, best_loss=0.272588
- 2022-01-02 19:38:43,961 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.1263587474823s
- 2022-01-02 19:38:43,961 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:38:43,961 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:38:43,961 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 845
- 2022-01-02 19:38:59,776 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235825 Loss2 1.008441
- 2022-01-02 19:39:09,022 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275102, best_loss=0.274553
- 2022-01-02 19:39:14,425 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273692, best_loss=0.272588
- 2022-01-02 19:39:14,426 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46454167366028s
- 2022-01-02 19:39:14,426 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:39:14,426 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:39:14,426 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 846
- 2022-01-02 19:39:30,174 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261117 Loss2 1.139720
- 2022-01-02 19:39:39,436 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275168, best_loss=0.274553
- 2022-01-02 19:39:44,811 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273545, best_loss=0.272588
- 2022-01-02 19:39:44,811 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.384974241256714s
- 2022-01-02 19:39:44,811 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:39:44,811 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:39:44,811 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 847
- 2022-01-02 19:40:00,557 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250480 Loss2 1.130648
- 2022-01-02 19:40:09,600 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275566, best_loss=0.274553
- 2022-01-02 19:40:14,827 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273533, best_loss=0.272588
- 2022-01-02 19:40:14,827 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.015998363494873s
- 2022-01-02 19:40:14,827 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:40:14,827 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:40:14,827 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 848
- 2022-01-02 19:40:30,550 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.220976 Loss2 0.923750
- 2022-01-02 19:40:39,782 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274916, best_loss=0.274553
- 2022-01-02 19:40:44,991 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273547, best_loss=0.272588
- 2022-01-02 19:40:44,991 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.164028882980347s
- 2022-01-02 19:40:44,991 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:40:44,991 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:40:44,991 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 849
- 2022-01-02 19:41:00,746 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246545 Loss2 0.980638
- 2022-01-02 19:41:09,987 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274451, best_loss=0.274553
- 2022-01-02 19:41:10,005 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:41:15,416 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273610, best_loss=0.272588
- 2022-01-02 19:41:15,416 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.42526912689209s
- 2022-01-02 19:41:15,416 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:41:15,416 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:41:15,416 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 850
- 2022-01-02 19:41:31,132 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252264 Loss2 1.099574
- 2022-01-02 19:41:40,378 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275101, best_loss=0.274451
- 2022-01-02 19:41:45,695 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273533, best_loss=0.272588
- 2022-01-02 19:41:45,696 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.279409170150757s
- 2022-01-02 19:41:45,696 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:41:45,696 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:41:45,696 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 851
- 2022-01-02 19:42:01,519 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233977 Loss2 1.023429
- 2022-01-02 19:42:10,769 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274933, best_loss=0.274451
- 2022-01-02 19:42:16,199 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273606, best_loss=0.272588
- 2022-01-02 19:42:16,200 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.5040020942688s
- 2022-01-02 19:42:16,200 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:42:16,200 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:42:16,200 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 852
- 2022-01-02 19:42:31,917 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249948 Loss2 1.066544
- 2022-01-02 19:42:41,174 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274888, best_loss=0.274451
- 2022-01-02 19:42:46,594 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273673, best_loss=0.272588
- 2022-01-02 19:42:46,594 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.393433570861816s
- 2022-01-02 19:42:46,594 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:42:46,594 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:42:46,594 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 853
- 2022-01-02 19:43:02,306 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.227992 Loss2 1.056646
- 2022-01-02 19:43:11,566 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274851, best_loss=0.274451
- 2022-01-02 19:43:16,876 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273597, best_loss=0.272588
- 2022-01-02 19:43:16,876 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.281936645507812s
- 2022-01-02 19:43:16,876 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:43:16,876 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:43:16,876 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 854
- 2022-01-02 19:43:32,690 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260338 Loss2 1.147185
- 2022-01-02 19:43:41,947 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275046, best_loss=0.274451
- 2022-01-02 19:43:47,338 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273575, best_loss=0.272588
- 2022-01-02 19:43:47,339 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.46250057220459s
- 2022-01-02 19:43:47,339 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:43:47,339 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:43:47,339 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 855
- 2022-01-02 19:44:03,088 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235461 Loss2 1.032825
- 2022-01-02 19:44:12,331 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275012, best_loss=0.274451
- 2022-01-02 19:44:17,764 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273720, best_loss=0.272588
- 2022-01-02 19:44:17,764 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.425482034683228s
- 2022-01-02 19:44:17,764 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:44:17,765 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:44:17,765 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 856
- 2022-01-02 19:44:33,663 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231113 Loss2 1.033534
- 2022-01-02 19:44:42,776 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274855, best_loss=0.274451
- 2022-01-02 19:44:48,069 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273741, best_loss=0.272588
- 2022-01-02 19:44:48,069 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.304685354232788s
- 2022-01-02 19:44:48,069 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:44:48,069 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:44:48,069 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 857
- 2022-01-02 19:45:03,881 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.227870 Loss2 1.099498
- 2022-01-02 19:45:13,127 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274821, best_loss=0.274451
- 2022-01-02 19:45:18,713 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273756, best_loss=0.272588
- 2022-01-02 19:45:18,714 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.644537687301636s
- 2022-01-02 19:45:18,714 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:45:18,714 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:45:18,714 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 858
- 2022-01-02 19:45:34,464 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229868 Loss2 0.961894
- 2022-01-02 19:45:43,705 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275214, best_loss=0.274451
- 2022-01-02 19:45:49,103 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273808, best_loss=0.272588
- 2022-01-02 19:45:49,104 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.389615297317505s
- 2022-01-02 19:45:49,104 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:45:49,104 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:45:49,104 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 859
- 2022-01-02 19:46:04,858 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242353 Loss2 1.040140
- 2022-01-02 19:46:14,106 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275142, best_loss=0.274451
- 2022-01-02 19:46:19,496 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273778, best_loss=0.272588
- 2022-01-02 19:46:19,496 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.391828775405884s
- 2022-01-02 19:46:19,496 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:46:19,496 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:46:19,496 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 860
- 2022-01-02 19:46:35,431 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.223919 Loss2 0.951419
- 2022-01-02 19:46:44,691 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275304, best_loss=0.274451
- 2022-01-02 19:46:50,127 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273833, best_loss=0.272588
- 2022-01-02 19:46:50,127 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.630925178527832s
- 2022-01-02 19:46:50,127 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:46:50,128 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:46:50,128 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 861
- 2022-01-02 19:47:06,025 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.279259 Loss2 1.111967
- 2022-01-02 19:47:15,283 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274656, best_loss=0.274451
- 2022-01-02 19:47:20,705 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273750, best_loss=0.272588
- 2022-01-02 19:47:20,705 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.57754874229431s
- 2022-01-02 19:47:20,705 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:47:20,705 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:47:20,705 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 862
- 2022-01-02 19:47:36,428 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248795 Loss2 1.110760
- 2022-01-02 19:47:45,689 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275019, best_loss=0.274451
- 2022-01-02 19:47:51,008 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273886, best_loss=0.272588
- 2022-01-02 19:47:51,008 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.30269193649292s
- 2022-01-02 19:47:51,008 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:47:51,008 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:47:51,008 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 863
- 2022-01-02 19:48:06,803 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229836 Loss2 0.993548
- 2022-01-02 19:48:16,071 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274893, best_loss=0.274451
- 2022-01-02 19:48:21,469 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274049, best_loss=0.272588
- 2022-01-02 19:48:21,469 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.461042642593384s
- 2022-01-02 19:48:21,469 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:48:21,469 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:48:21,469 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 864
- 2022-01-02 19:48:37,395 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238995 Loss2 0.952397
- 2022-01-02 19:48:46,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275156, best_loss=0.274451
- 2022-01-02 19:48:52,059 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274135, best_loss=0.272588
- 2022-01-02 19:48:52,059 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590178966522217s
- 2022-01-02 19:48:52,059 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:48:52,059 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:48:52,059 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 865
- 2022-01-02 19:49:07,800 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234960 Loss2 0.971420
- 2022-01-02 19:49:16,855 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274948, best_loss=0.274451
- 2022-01-02 19:49:22,178 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274138, best_loss=0.272588
- 2022-01-02 19:49:22,179 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.119194269180298s
- 2022-01-02 19:49:22,179 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:49:22,179 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:49:22,179 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 866
- 2022-01-02 19:49:37,996 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246288 Loss2 1.063846
- 2022-01-02 19:49:47,251 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275233, best_loss=0.274451
- 2022-01-02 19:49:52,628 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274070, best_loss=0.272588
- 2022-01-02 19:49:52,629 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.449822902679443s
- 2022-01-02 19:49:52,629 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:49:52,629 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:49:52,629 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 867
- 2022-01-02 19:50:08,717 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241585 Loss2 1.009356
- 2022-01-02 19:50:17,849 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275249, best_loss=0.274451
- 2022-01-02 19:50:23,244 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274223, best_loss=0.272588
- 2022-01-02 19:50:23,244 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.615227937698364s
- 2022-01-02 19:50:23,245 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:50:23,245 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:50:23,245 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 868
- 2022-01-02 19:50:38,978 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.226243 Loss2 1.000902
- 2022-01-02 19:50:48,231 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275179, best_loss=0.274451
- 2022-01-02 19:50:53,642 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274121, best_loss=0.272588
- 2022-01-02 19:50:53,643 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.398389101028442s
- 2022-01-02 19:50:53,643 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:50:53,643 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:50:53,643 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 869
- 2022-01-02 19:51:09,361 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229231 Loss2 1.085555
- 2022-01-02 19:51:18,605 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275082, best_loss=0.274451
- 2022-01-02 19:51:23,802 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274032, best_loss=0.272588
- 2022-01-02 19:51:23,803 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.159754276275635s
- 2022-01-02 19:51:23,803 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:51:23,803 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:51:23,803 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 870
- 2022-01-02 19:51:39,560 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235951 Loss2 1.049948
- 2022-01-02 19:51:48,794 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274703, best_loss=0.274451
- 2022-01-02 19:51:54,040 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273915, best_loss=0.272588
- 2022-01-02 19:51:54,041 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.238166093826294s
- 2022-01-02 19:51:54,041 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:51:54,041 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:51:54,041 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 871
- 2022-01-02 19:52:09,750 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242633 Loss2 1.003137
- 2022-01-02 19:52:18,998 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274500, best_loss=0.274451
- 2022-01-02 19:52:24,403 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273743, best_loss=0.272588
- 2022-01-02 19:52:24,403 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.36244010925293s
- 2022-01-02 19:52:24,403 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:52:24,403 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:52:24,403 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 872
- 2022-01-02 19:52:40,140 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260724 Loss2 1.048079
- 2022-01-02 19:52:49,380 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274772, best_loss=0.274451
- 2022-01-02 19:52:54,785 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273753, best_loss=0.272588
- 2022-01-02 19:52:54,785 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.382232427597046s
- 2022-01-02 19:52:54,785 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:52:54,786 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:52:54,786 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 873
- 2022-01-02 19:53:10,535 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233974 Loss2 1.152168
- 2022-01-02 19:53:19,783 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274748, best_loss=0.274451
- 2022-01-02 19:53:25,115 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273853, best_loss=0.272588
- 2022-01-02 19:53:25,115 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.32948398590088s
- 2022-01-02 19:53:25,115 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:53:25,115 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:53:25,115 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 874
- 2022-01-02 19:53:40,909 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255963 Loss2 1.016563
- 2022-01-02 19:53:50,174 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274698, best_loss=0.274451
- 2022-01-02 19:53:55,574 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273757, best_loss=0.272588
- 2022-01-02 19:53:55,575 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.45912790298462s
- 2022-01-02 19:53:55,575 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:53:55,575 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:53:55,575 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 875
- 2022-01-02 19:54:11,316 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.230113 Loss2 1.038468
- 2022-01-02 19:54:20,556 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274824, best_loss=0.274451
- 2022-01-02 19:54:25,793 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273791, best_loss=0.272588
- 2022-01-02 19:54:25,793 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.218223810195923s
- 2022-01-02 19:54:25,793 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:54:25,793 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:54:25,793 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 876
- 2022-01-02 19:54:41,684 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238055 Loss2 1.031107
- 2022-01-02 19:54:50,956 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274450, best_loss=0.274451
- 2022-01-02 19:54:50,975 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:54:56,302 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273803, best_loss=0.272588
- 2022-01-02 19:54:56,302 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.50884461402893s
- 2022-01-02 19:54:56,302 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:54:56,303 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:54:56,303 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 877
- 2022-01-02 19:55:12,091 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.232980 Loss2 1.047363
- 2022-01-02 19:55:21,346 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274743, best_loss=0.274450
- 2022-01-02 19:55:26,739 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273882, best_loss=0.272588
- 2022-01-02 19:55:26,740 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.4371178150177s
- 2022-01-02 19:55:26,740 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:55:26,740 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:55:26,740 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 878
- 2022-01-02 19:55:42,484 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236578 Loss2 1.034537
- 2022-01-02 19:55:51,740 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275464, best_loss=0.274450
- 2022-01-02 19:55:57,120 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273784, best_loss=0.272588
- 2022-01-02 19:55:57,121 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.380250453948975s
- 2022-01-02 19:55:57,121 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:55:57,121 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:55:57,121 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 879
- 2022-01-02 19:56:13,063 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249944 Loss2 1.032253
- 2022-01-02 19:56:22,328 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274435, best_loss=0.274450
- 2022-01-02 19:56:22,346 - G:/naic_csi_2021/tasks/train.py[line:139] - INFO: Model saved
- 2022-01-02 19:56:27,742 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273965, best_loss=0.272588
- 2022-01-02 19:56:27,742 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.621124029159546s
- 2022-01-02 19:56:27,742 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:56:27,742 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:56:27,742 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 880
- 2022-01-02 19:56:43,469 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241902 Loss2 0.979734
- 2022-01-02 19:56:52,694 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274579, best_loss=0.274435
- 2022-01-02 19:56:57,908 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273829, best_loss=0.272588
- 2022-01-02 19:56:57,908 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.166310787200928s
- 2022-01-02 19:56:57,908 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:56:57,908 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:56:57,908 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 881
- 2022-01-02 19:57:13,655 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236746 Loss2 0.955474
- 2022-01-02 19:57:22,904 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274777, best_loss=0.274435
- 2022-01-02 19:57:28,336 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273870, best_loss=0.272588
- 2022-01-02 19:57:28,336 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.427199363708496s
- 2022-01-02 19:57:28,336 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:57:28,337 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:57:28,337 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 882
- 2022-01-02 19:57:44,235 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246843 Loss2 1.037916
- 2022-01-02 19:57:53,499 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274870, best_loss=0.274435
- 2022-01-02 19:57:58,891 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273863, best_loss=0.272588
- 2022-01-02 19:57:58,891 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.55465030670166s
- 2022-01-02 19:57:58,891 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:57:58,891 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:57:58,891 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 883
- 2022-01-02 19:58:14,645 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247788 Loss2 0.943788
- 2022-01-02 19:58:23,896 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274602, best_loss=0.274435
- 2022-01-02 19:58:29,074 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273950, best_loss=0.272588
- 2022-01-02 19:58:29,074 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.182295560836792s
- 2022-01-02 19:58:29,074 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:58:29,074 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:58:29,074 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 884
- 2022-01-02 19:58:45,035 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.228084 Loss2 0.945570
- 2022-01-02 19:58:54,293 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274599, best_loss=0.274435
- 2022-01-02 19:58:59,686 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273891, best_loss=0.272588
- 2022-01-02 19:58:59,687 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61246371269226s
- 2022-01-02 19:58:59,687 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:58:59,687 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:58:59,687 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 885
- 2022-01-02 19:59:15,607 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.232310 Loss2 0.999173
- 2022-01-02 19:59:24,871 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274760, best_loss=0.274435
- 2022-01-02 19:59:30,287 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273756, best_loss=0.272588
- 2022-01-02 19:59:30,287 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.600415229797363s
- 2022-01-02 19:59:30,287 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 19:59:30,287 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 19:59:30,288 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 886
- 2022-01-02 19:59:46,011 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243473 Loss2 1.017431
- 2022-01-02 19:59:55,280 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274684, best_loss=0.274435
- 2022-01-02 20:00:00,675 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273886, best_loss=0.272588
- 2022-01-02 20:00:00,676 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.387643337249756s
- 2022-01-02 20:00:00,676 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:00:00,676 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:00:00,676 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 887
- 2022-01-02 20:00:16,397 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238391 Loss2 0.923395
- 2022-01-02 20:00:25,645 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274506, best_loss=0.274435
- 2022-01-02 20:00:30,960 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.273868, best_loss=0.272588
- 2022-01-02 20:00:30,960 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.284099340438843s
- 2022-01-02 20:00:30,960 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:00:30,961 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:00:30,961 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 888
- 2022-01-02 20:00:46,792 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.275891 Loss2 1.185303
- 2022-01-02 20:00:56,054 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275318, best_loss=0.274435
- 2022-01-02 20:01:01,457 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274042, best_loss=0.272588
- 2022-01-02 20:01:01,457 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.496764659881592s
- 2022-01-02 20:01:01,457 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:01:01,457 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:01:01,457 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 889
- 2022-01-02 20:01:17,186 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245773 Loss2 1.040853
- 2022-01-02 20:01:26,436 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274921, best_loss=0.274435
- 2022-01-02 20:01:31,828 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274088, best_loss=0.272588
- 2022-01-02 20:01:31,828 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37057900428772s
- 2022-01-02 20:01:31,828 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:01:31,828 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:01:31,828 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 890
- 2022-01-02 20:01:47,760 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241423 Loss2 1.071191
- 2022-01-02 20:01:57,017 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275288, best_loss=0.274435
- 2022-01-02 20:02:02,450 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274088, best_loss=0.272588
- 2022-01-02 20:02:02,451 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.622647762298584s
- 2022-01-02 20:02:02,451 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:02:02,451 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:02:02,451 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 891
- 2022-01-02 20:02:18,356 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.225570 Loss2 1.009652
- 2022-01-02 20:02:27,428 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274982, best_loss=0.274435
- 2022-01-02 20:02:32,731 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274174, best_loss=0.272588
- 2022-01-02 20:02:32,732 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.280441761016846s
- 2022-01-02 20:02:32,732 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:02:32,732 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:02:32,732 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 892
- 2022-01-02 20:02:48,549 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.218357 Loss2 0.973498
- 2022-01-02 20:02:57,806 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275115, best_loss=0.274435
- 2022-01-02 20:03:03,198 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274152, best_loss=0.272588
- 2022-01-02 20:03:03,198 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.466654777526855s
- 2022-01-02 20:03:03,199 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:03:03,199 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:03:03,199 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 893
- 2022-01-02 20:03:18,958 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241253 Loss2 1.027818
- 2022-01-02 20:03:28,191 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274602, best_loss=0.274435
- 2022-01-02 20:03:33,631 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274079, best_loss=0.272588
- 2022-01-02 20:03:33,631 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.432246208190918s
- 2022-01-02 20:03:33,632 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:03:33,632 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:03:33,632 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 894
- 2022-01-02 20:03:49,335 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231387 Loss2 0.986801
- 2022-01-02 20:03:58,568 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274812, best_loss=0.274435
- 2022-01-02 20:04:03,769 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274153, best_loss=0.272588
- 2022-01-02 20:04:03,770 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.137998342514038s
- 2022-01-02 20:04:03,770 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:04:03,770 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:04:03,770 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 895
- 2022-01-02 20:04:19,528 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256537 Loss2 1.124595
- 2022-01-02 20:04:28,781 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274858, best_loss=0.274435
- 2022-01-02 20:04:34,178 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274160, best_loss=0.272588
- 2022-01-02 20:04:34,179 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40857434272766s
- 2022-01-02 20:04:34,179 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:04:34,179 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:04:34,179 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 896
- 2022-01-02 20:04:49,922 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243567 Loss2 1.050453
- 2022-01-02 20:04:59,164 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274824, best_loss=0.274435
- 2022-01-02 20:05:04,494 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274189, best_loss=0.272588
- 2022-01-02 20:05:04,495 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.315389394760132s
- 2022-01-02 20:05:04,495 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:05:04,495 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:05:04,495 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 897
- 2022-01-02 20:05:20,311 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248742 Loss2 1.022067
- 2022-01-02 20:05:29,573 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274973, best_loss=0.274435
- 2022-01-02 20:05:34,956 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274285, best_loss=0.272588
- 2022-01-02 20:05:34,956 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.461641311645508s
- 2022-01-02 20:05:34,956 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:05:34,956 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:05:34,957 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 898
- 2022-01-02 20:05:50,840 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240280 Loss2 1.125792
- 2022-01-02 20:06:00,139 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274724, best_loss=0.274435
- 2022-01-02 20:06:05,384 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274149, best_loss=0.272588
- 2022-01-02 20:06:05,385 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.428104162216187s
- 2022-01-02 20:06:05,385 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:06:05,385 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:06:05,385 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 899
- 2022-01-02 20:06:21,102 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249397 Loss2 0.999062
- 2022-01-02 20:06:30,377 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275149, best_loss=0.274435
- 2022-01-02 20:06:35,691 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274097, best_loss=0.272588
- 2022-01-02 20:06:35,692 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.306928873062134s
- 2022-01-02 20:06:35,692 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:06:35,692 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:06:35,692 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 900
- 2022-01-02 20:06:51,485 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253790 Loss2 1.136283
- 2022-01-02 20:07:00,740 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274622, best_loss=0.274435
- 2022-01-02 20:07:06,139 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274184, best_loss=0.272588
- 2022-01-02 20:07:06,140 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.44732356071472s
- 2022-01-02 20:07:06,140 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:07:06,140 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:07:06,140 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 901
- 2022-01-02 20:07:21,875 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229723 Loss2 0.952251
- 2022-01-02 20:07:31,129 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274731, best_loss=0.274435
- 2022-01-02 20:07:36,521 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274138, best_loss=0.272588
- 2022-01-02 20:07:36,521 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.380699396133423s
- 2022-01-02 20:07:36,521 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:07:36,521 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:07:36,521 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 902
- 2022-01-02 20:07:52,267 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245700 Loss2 1.109277
- 2022-01-02 20:08:01,531 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274995, best_loss=0.274435
- 2022-01-02 20:08:06,858 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274182, best_loss=0.272588
- 2022-01-02 20:08:06,859 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.337689638137817s
- 2022-01-02 20:08:06,859 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:08:06,859 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:08:06,859 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 903
- 2022-01-02 20:08:22,641 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.271109 Loss2 1.152032
- 2022-01-02 20:08:31,915 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274739, best_loss=0.274435
- 2022-01-02 20:08:37,327 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274332, best_loss=0.272588
- 2022-01-02 20:08:37,327 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.468390226364136s
- 2022-01-02 20:08:37,327 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:08:37,327 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:08:37,327 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 904
- 2022-01-02 20:08:53,051 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.243915 Loss2 1.098289
- 2022-01-02 20:09:02,298 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274682, best_loss=0.274435
- 2022-01-02 20:09:07,723 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274274, best_loss=0.272588
- 2022-01-02 20:09:07,723 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.39618682861328s
- 2022-01-02 20:09:07,723 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:09:07,723 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:09:07,724 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 905
- 2022-01-02 20:09:23,624 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.220107 Loss2 0.929409
- 2022-01-02 20:09:32,887 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275344, best_loss=0.274435
- 2022-01-02 20:09:38,341 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274322, best_loss=0.272588
- 2022-01-02 20:09:38,342 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.617918729782104s
- 2022-01-02 20:09:38,342 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:09:38,342 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:09:38,342 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 906
- 2022-01-02 20:09:54,220 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231756 Loss2 1.111220
- 2022-01-02 20:10:03,484 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275093, best_loss=0.274435
- 2022-01-02 20:10:08,693 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274282, best_loss=0.272588
- 2022-01-02 20:10:08,694 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.3511745929718s
- 2022-01-02 20:10:08,694 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:10:08,694 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:10:08,694 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 907
- 2022-01-02 20:10:24,426 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.231373 Loss2 1.054638
- 2022-01-02 20:10:33,677 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274800, best_loss=0.274435
- 2022-01-02 20:10:39,066 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274268, best_loss=0.272588
- 2022-01-02 20:10:39,067 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.372440338134766s
- 2022-01-02 20:10:39,067 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:10:39,067 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:10:39,067 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 908
- 2022-01-02 20:10:55,001 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.226959 Loss2 1.029101
- 2022-01-02 20:11:04,280 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274893, best_loss=0.274435
- 2022-01-02 20:11:09,672 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274209, best_loss=0.272588
- 2022-01-02 20:11:09,673 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60647416114807s
- 2022-01-02 20:11:09,673 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:11:09,673 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:11:09,673 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 909
- 2022-01-02 20:11:25,407 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251455 Loss2 1.212606
- 2022-01-02 20:11:34,658 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274669, best_loss=0.274435
- 2022-01-02 20:11:40,045 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274303, best_loss=0.272588
- 2022-01-02 20:11:40,046 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.372937202453613s
- 2022-01-02 20:11:40,046 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:11:40,046 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:11:40,046 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 910
- 2022-01-02 20:11:55,793 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261802 Loss2 1.139544
- 2022-01-02 20:12:05,037 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275127, best_loss=0.274435
- 2022-01-02 20:12:10,391 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274280, best_loss=0.272588
- 2022-01-02 20:12:10,391 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.34521746635437s
- 2022-01-02 20:12:10,391 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:12:10,391 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:12:10,391 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 911
- 2022-01-02 20:12:26,191 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239597 Loss2 1.090442
- 2022-01-02 20:12:35,444 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275008, best_loss=0.274435
- 2022-01-02 20:12:40,827 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274263, best_loss=0.272588
- 2022-01-02 20:12:40,828 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.436646938323975s
- 2022-01-02 20:12:40,828 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:12:40,828 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:12:40,828 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 912
- 2022-01-02 20:12:56,574 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.228333 Loss2 1.027092
- 2022-01-02 20:13:05,836 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275061, best_loss=0.274435
- 2022-01-02 20:13:11,223 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274539, best_loss=0.272588
- 2022-01-02 20:13:11,224 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.395960092544556s
- 2022-01-02 20:13:11,224 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:13:11,224 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:13:11,224 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 913
- 2022-01-02 20:13:27,366 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.253952 Loss2 1.048149
- 2022-01-02 20:13:36,621 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275255, best_loss=0.274435
- 2022-01-02 20:13:42,010 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274517, best_loss=0.272588
- 2022-01-02 20:13:42,010 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.786452531814575s
- 2022-01-02 20:13:42,010 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:13:42,010 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:13:42,010 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 914
- 2022-01-02 20:13:57,897 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255295 Loss2 1.219853
- 2022-01-02 20:14:07,214 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275105, best_loss=0.274435
- 2022-01-02 20:14:12,605 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274442, best_loss=0.272588
- 2022-01-02 20:14:12,606 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.595484733581543s
- 2022-01-02 20:14:12,606 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:14:12,606 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:14:12,606 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 915
- 2022-01-02 20:14:28,340 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242239 Loss2 1.082998
- 2022-01-02 20:14:37,596 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275015, best_loss=0.274435
- 2022-01-02 20:14:43,030 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274597, best_loss=0.272588
- 2022-01-02 20:14:43,031 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.424865007400513s
- 2022-01-02 20:14:43,031 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:14:43,031 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:14:43,031 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 916
- 2022-01-02 20:14:58,930 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240823 Loss2 1.079819
- 2022-01-02 20:15:08,193 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275105, best_loss=0.274435
- 2022-01-02 20:15:13,586 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274630, best_loss=0.272588
- 2022-01-02 20:15:13,586 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.555222272872925s
- 2022-01-02 20:15:13,586 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:15:13,587 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:15:13,587 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 917
- 2022-01-02 20:15:29,331 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238083 Loss2 1.069366
- 2022-01-02 20:15:38,562 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274650, best_loss=0.274435
- 2022-01-02 20:15:43,770 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274686, best_loss=0.272588
- 2022-01-02 20:15:43,770 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.18326735496521s
- 2022-01-02 20:15:43,770 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:15:43,770 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:15:43,770 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 918
- 2022-01-02 20:15:59,707 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.272805 Loss2 1.093128
- 2022-01-02 20:16:08,966 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274728, best_loss=0.274435
- 2022-01-02 20:16:14,378 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274673, best_loss=0.272588
- 2022-01-02 20:16:14,378 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60826826095581s
- 2022-01-02 20:16:14,378 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:16:14,378 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:16:14,378 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 919
- 2022-01-02 20:16:30,121 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.213259 Loss2 0.899711
- 2022-01-02 20:16:39,385 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274966, best_loss=0.274435
- 2022-01-02 20:16:44,754 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274713, best_loss=0.272588
- 2022-01-02 20:16:44,754 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37619113922119s
- 2022-01-02 20:16:44,754 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:16:44,754 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:16:44,754 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 920
- 2022-01-02 20:17:00,504 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.232608 Loss2 1.042589
- 2022-01-02 20:17:09,755 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275122, best_loss=0.274435
- 2022-01-02 20:17:15,072 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274756, best_loss=0.272588
- 2022-01-02 20:17:15,073 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.318033695220947s
- 2022-01-02 20:17:15,073 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:17:15,073 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:17:15,073 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 921
- 2022-01-02 20:17:30,899 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263496 Loss2 1.221547
- 2022-01-02 20:17:40,150 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274892, best_loss=0.274435
- 2022-01-02 20:17:45,549 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274602, best_loss=0.272588
- 2022-01-02 20:17:45,550 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.476898431777954s
- 2022-01-02 20:17:45,550 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:17:45,550 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:17:45,550 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 922
- 2022-01-02 20:18:01,290 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260529 Loss2 1.175594
- 2022-01-02 20:18:10,532 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275008, best_loss=0.274435
- 2022-01-02 20:18:15,953 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274720, best_loss=0.272588
- 2022-01-02 20:18:15,953 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.402515172958374s
- 2022-01-02 20:18:15,953 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:18:15,953 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:18:15,953 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 923
- 2022-01-02 20:18:31,863 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.227980 Loss2 1.062644
- 2022-01-02 20:18:41,331 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274863, best_loss=0.274435
- 2022-01-02 20:18:46,722 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274643, best_loss=0.272588
- 2022-01-02 20:18:46,723 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.76911973953247s
- 2022-01-02 20:18:46,723 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:18:46,723 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:18:46,723 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 924
- 2022-01-02 20:19:02,468 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238624 Loss2 1.036959
- 2022-01-02 20:19:11,720 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275077, best_loss=0.274435
- 2022-01-02 20:19:17,110 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274747, best_loss=0.272588
- 2022-01-02 20:19:17,110 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38782811164856s
- 2022-01-02 20:19:17,110 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:19:17,111 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:19:17,111 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 925
- 2022-01-02 20:19:32,865 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.244502 Loss2 1.108177
- 2022-01-02 20:19:42,105 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275085, best_loss=0.274435
- 2022-01-02 20:19:47,452 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274626, best_loss=0.272588
- 2022-01-02 20:19:47,452 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.34133243560791s
- 2022-01-02 20:19:47,452 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:19:47,452 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:19:47,452 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 926
- 2022-01-02 20:20:03,251 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246093 Loss2 1.022719
- 2022-01-02 20:20:12,511 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275205, best_loss=0.274435
- 2022-01-02 20:20:17,895 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274636, best_loss=0.272588
- 2022-01-02 20:20:17,896 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.443679332733154s
- 2022-01-02 20:20:17,896 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:20:17,896 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:20:17,896 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 927
- 2022-01-02 20:20:33,643 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.269898 Loss2 1.175412
- 2022-01-02 20:20:42,897 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275169, best_loss=0.274435
- 2022-01-02 20:20:48,328 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274716, best_loss=0.272588
- 2022-01-02 20:20:48,329 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.432615756988525s
- 2022-01-02 20:20:48,329 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:20:48,329 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:20:48,329 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 928
- 2022-01-02 20:21:04,039 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234528 Loss2 1.127242
- 2022-01-02 20:21:13,269 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275114, best_loss=0.274435
- 2022-01-02 20:21:18,614 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274734, best_loss=0.272588
- 2022-01-02 20:21:18,614 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.28518533706665s
- 2022-01-02 20:21:18,615 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:21:18,615 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:21:18,615 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 929
- 2022-01-02 20:21:34,417 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.237428 Loss2 1.043659
- 2022-01-02 20:21:43,667 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275444, best_loss=0.274435
- 2022-01-02 20:21:48,879 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274691, best_loss=0.272588
- 2022-01-02 20:21:48,879 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.264512300491333s
- 2022-01-02 20:21:48,879 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:21:48,880 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:21:48,880 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 930
- 2022-01-02 20:22:04,621 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256898 Loss2 1.055571
- 2022-01-02 20:22:13,855 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275051, best_loss=0.274435
- 2022-01-02 20:22:19,179 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274714, best_loss=0.272588
- 2022-01-02 20:22:19,180 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.3003671169281s
- 2022-01-02 20:22:19,180 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:22:19,180 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:22:19,180 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 931
- 2022-01-02 20:22:34,991 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.261088 Loss2 1.164184
- 2022-01-02 20:22:44,278 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274997, best_loss=0.274435
- 2022-01-02 20:22:49,645 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274722, best_loss=0.272588
- 2022-01-02 20:22:49,646 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.465710639953613s
- 2022-01-02 20:22:49,646 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:22:49,646 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:22:49,646 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 932
- 2022-01-02 20:23:05,392 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255882 Loss2 1.142101
- 2022-01-02 20:23:14,492 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275010, best_loss=0.274435
- 2022-01-02 20:23:19,798 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274647, best_loss=0.272588
- 2022-01-02 20:23:19,798 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.152562856674194s
- 2022-01-02 20:23:19,798 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:23:19,798 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:23:19,798 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 933
- 2022-01-02 20:23:35,575 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238177 Loss2 1.017163
- 2022-01-02 20:23:44,841 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275086, best_loss=0.274435
- 2022-01-02 20:23:50,237 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274780, best_loss=0.272588
- 2022-01-02 20:23:50,237 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.438446521759033s
- 2022-01-02 20:23:50,237 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:23:50,237 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:23:50,237 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 934
- 2022-01-02 20:24:05,975 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242629 Loss2 1.080582
- 2022-01-02 20:24:15,244 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275051, best_loss=0.274435
- 2022-01-02 20:24:20,442 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274851, best_loss=0.272588
- 2022-01-02 20:24:20,442 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.204498529434204s
- 2022-01-02 20:24:20,442 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:24:20,443 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:24:20,443 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 935
- 2022-01-02 20:24:36,169 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.218985 Loss2 0.942557
- 2022-01-02 20:24:45,429 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275206, best_loss=0.274435
- 2022-01-02 20:24:50,811 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274730, best_loss=0.272588
- 2022-01-02 20:24:50,812 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.369062900543213s
- 2022-01-02 20:24:50,812 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:24:50,812 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:24:50,812 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 936
- 2022-01-02 20:25:06,757 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252678 Loss2 1.080423
- 2022-01-02 20:25:16,016 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275260, best_loss=0.274435
- 2022-01-02 20:25:21,417 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274663, best_loss=0.272588
- 2022-01-02 20:25:21,418 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.605997800827026s
- 2022-01-02 20:25:21,418 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:25:21,418 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:25:21,418 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 937
- 2022-01-02 20:25:37,340 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.239445 Loss2 1.136257
- 2022-01-02 20:25:46,603 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274844, best_loss=0.274435
- 2022-01-02 20:25:51,992 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274678, best_loss=0.272588
- 2022-01-02 20:25:51,993 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.574278593063354s
- 2022-01-02 20:25:51,993 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:25:51,993 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:25:51,993 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 938
- 2022-01-02 20:26:07,924 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250015 Loss2 1.054379
- 2022-01-02 20:26:17,196 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275088, best_loss=0.274435
- 2022-01-02 20:26:22,591 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274609, best_loss=0.272588
- 2022-01-02 20:26:22,592 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.599180936813354s
- 2022-01-02 20:26:22,592 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:26:22,592 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:26:22,592 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 939
- 2022-01-02 20:26:38,523 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234354 Loss2 1.049409
- 2022-01-02 20:26:47,784 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275063, best_loss=0.274435
- 2022-01-02 20:26:53,177 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274747, best_loss=0.272588
- 2022-01-02 20:26:53,178 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.585959672927856s
- 2022-01-02 20:26:53,178 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:26:53,178 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:26:53,178 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 940
- 2022-01-02 20:27:08,929 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236491 Loss2 0.995493
- 2022-01-02 20:27:18,177 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275083, best_loss=0.274435
- 2022-01-02 20:27:23,414 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274714, best_loss=0.272588
- 2022-01-02 20:27:23,415 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.23621916770935s
- 2022-01-02 20:27:23,415 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:27:23,415 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:27:23,415 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 941
- 2022-01-02 20:27:39,301 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.240085 Loss2 1.077942
- 2022-01-02 20:27:48,554 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274940, best_loss=0.274435
- 2022-01-02 20:27:53,749 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274661, best_loss=0.272588
- 2022-01-02 20:27:53,749 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.334362983703613s
- 2022-01-02 20:27:53,749 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:27:53,749 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:27:53,749 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 942
- 2022-01-02 20:28:09,696 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.220257 Loss2 0.933106
- 2022-01-02 20:28:18,955 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275039, best_loss=0.274435
- 2022-01-02 20:28:24,359 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274587, best_loss=0.272588
- 2022-01-02 20:28:24,359 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.609623908996582s
- 2022-01-02 20:28:24,359 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:28:24,359 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:28:24,359 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 943
- 2022-01-02 20:28:40,094 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.242044 Loss2 1.108141
- 2022-01-02 20:28:49,358 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275133, best_loss=0.274435
- 2022-01-02 20:28:54,744 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274677, best_loss=0.272588
- 2022-01-02 20:28:54,744 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.385169982910156s
- 2022-01-02 20:28:54,744 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:28:54,744 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:28:54,744 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 944
- 2022-01-02 20:29:10,672 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.251182 Loss2 1.064344
- 2022-01-02 20:29:19,942 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274599, best_loss=0.274435
- 2022-01-02 20:29:25,360 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274663, best_loss=0.272588
- 2022-01-02 20:29:25,361 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.61665678024292s
- 2022-01-02 20:29:25,361 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:29:25,361 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:29:25,361 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 945
- 2022-01-02 20:29:41,267 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.235341 Loss2 1.091832
- 2022-01-02 20:29:50,538 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274931, best_loss=0.274435
- 2022-01-02 20:29:55,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274649, best_loss=0.272588
- 2022-01-02 20:29:55,737 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.375703811645508s
- 2022-01-02 20:29:55,737 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:29:55,737 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:29:55,737 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 946
- 2022-01-02 20:30:11,654 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.230330 Loss2 1.026441
- 2022-01-02 20:30:20,901 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274938, best_loss=0.274435
- 2022-01-02 20:30:26,103 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274587, best_loss=0.272588
- 2022-01-02 20:30:26,104 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.36683940887451s
- 2022-01-02 20:30:26,104 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:30:26,104 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:30:26,104 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 947
- 2022-01-02 20:30:42,047 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238973 Loss2 1.062270
- 2022-01-02 20:30:51,319 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274968, best_loss=0.274435
- 2022-01-02 20:30:56,709 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274626, best_loss=0.272588
- 2022-01-02 20:30:56,709 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60455584526062s
- 2022-01-02 20:30:56,709 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:30:56,709 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:30:56,709 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 948
- 2022-01-02 20:31:12,454 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.222881 Loss2 0.940858
- 2022-01-02 20:31:21,705 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275018, best_loss=0.274435
- 2022-01-02 20:31:27,088 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274652, best_loss=0.272588
- 2022-01-02 20:31:27,089 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.379603147506714s
- 2022-01-02 20:31:27,089 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:31:27,089 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:31:27,089 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 949
- 2022-01-02 20:31:42,850 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257830 Loss2 1.073939
- 2022-01-02 20:31:52,073 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275179, best_loss=0.274435
- 2022-01-02 20:31:57,284 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274720, best_loss=0.272588
- 2022-01-02 20:31:57,284 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.195597648620605s
- 2022-01-02 20:31:57,284 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:31:57,284 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:31:57,284 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 950
- 2022-01-02 20:32:13,239 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.249627 Loss2 1.144367
- 2022-01-02 20:32:22,490 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275085, best_loss=0.274435
- 2022-01-02 20:32:27,876 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274689, best_loss=0.272588
- 2022-01-02 20:32:27,876 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.59208583831787s
- 2022-01-02 20:32:27,877 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:32:27,877 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:32:27,877 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 951
- 2022-01-02 20:32:43,626 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.244754 Loss2 0.989915
- 2022-01-02 20:32:52,871 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275227, best_loss=0.274435
- 2022-01-02 20:32:58,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274858, best_loss=0.272588
- 2022-01-02 20:32:58,277 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40049958229065s
- 2022-01-02 20:32:58,278 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:32:58,278 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:32:58,278 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 952
- 2022-01-02 20:33:14,020 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.246165 Loss2 1.026777
- 2022-01-02 20:33:23,254 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274917, best_loss=0.274435
- 2022-01-02 20:33:28,592 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274828, best_loss=0.272588
- 2022-01-02 20:33:28,592 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.314197778701782s
- 2022-01-02 20:33:28,592 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:33:28,592 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:33:28,592 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 953
- 2022-01-02 20:33:44,406 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263618 Loss2 1.115006
- 2022-01-02 20:33:53,661 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274918, best_loss=0.274435
- 2022-01-02 20:33:59,049 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274949, best_loss=0.272588
- 2022-01-02 20:33:59,050 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.457932710647583s
- 2022-01-02 20:33:59,050 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:33:59,050 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:33:59,050 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 954
- 2022-01-02 20:34:14,990 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.234889 Loss2 0.966861
- 2022-01-02 20:34:24,450 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275374, best_loss=0.274435
- 2022-01-02 20:34:29,639 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274908, best_loss=0.272588
- 2022-01-02 20:34:29,640 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589191675186157s
- 2022-01-02 20:34:29,640 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:34:29,640 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:34:29,640 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 955
- 2022-01-02 20:34:45,578 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.227818 Loss2 0.945820
- 2022-01-02 20:34:54,835 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275150, best_loss=0.274435
- 2022-01-02 20:35:00,230 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274914, best_loss=0.272588
- 2022-01-02 20:35:00,230 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590683937072754s
- 2022-01-02 20:35:00,230 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:35:00,230 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:35:00,230 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 956
- 2022-01-02 20:35:16,167 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255289 Loss2 1.050450
- 2022-01-02 20:35:25,447 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275036, best_loss=0.274435
- 2022-01-02 20:35:30,835 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274955, best_loss=0.272588
- 2022-01-02 20:35:30,835 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.60478711128235s
- 2022-01-02 20:35:30,835 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:35:30,835 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:35:30,836 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 957
- 2022-01-02 20:35:46,569 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.256112 Loss2 1.157336
- 2022-01-02 20:35:55,824 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275178, best_loss=0.274435
- 2022-01-02 20:36:01,209 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275049, best_loss=0.272588
- 2022-01-02 20:36:01,210 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.37428069114685s
- 2022-01-02 20:36:01,210 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:36:01,210 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:36:01,210 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 958
- 2022-01-02 20:36:16,960 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.274006 Loss2 1.119273
- 2022-01-02 20:36:26,206 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275377, best_loss=0.274435
- 2022-01-02 20:36:31,803 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274878, best_loss=0.272588
- 2022-01-02 20:36:31,804 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.593759298324585s
- 2022-01-02 20:36:31,804 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:36:31,804 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:36:31,804 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 959
- 2022-01-02 20:36:47,743 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.245128 Loss2 1.043297
- 2022-01-02 20:36:57,001 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275198, best_loss=0.274435
- 2022-01-02 20:37:02,235 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274953, best_loss=0.272588
- 2022-01-02 20:37:02,235 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.430856704711914s
- 2022-01-02 20:37:02,235 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:37:02,235 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:37:02,235 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 960
- 2022-01-02 20:37:18,133 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.255238 Loss2 1.022489
- 2022-01-02 20:37:27,416 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274928, best_loss=0.274435
- 2022-01-02 20:37:32,730 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275035, best_loss=0.272588
- 2022-01-02 20:37:32,730 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.49457097053528s
- 2022-01-02 20:37:32,730 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:37:32,730 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:37:32,730 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 961
- 2022-01-02 20:37:48,536 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.216814 Loss2 0.965982
- 2022-01-02 20:37:57,786 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275089, best_loss=0.274435
- 2022-01-02 20:38:03,176 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275074, best_loss=0.272588
- 2022-01-02 20:38:03,176 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.446333169937134s
- 2022-01-02 20:38:03,176 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:38:03,176 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:38:03,176 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 962
- 2022-01-02 20:38:19,109 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.244430 Loss2 1.046291
- 2022-01-02 20:38:28,389 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275118, best_loss=0.274435
- 2022-01-02 20:38:33,765 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274953, best_loss=0.272588
- 2022-01-02 20:38:33,765 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.588645458221436s
- 2022-01-02 20:38:33,765 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:38:33,765 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:38:33,765 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 963
- 2022-01-02 20:38:49,518 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247392 Loss2 1.020530
- 2022-01-02 20:38:58,772 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275510, best_loss=0.274435
- 2022-01-02 20:39:03,978 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275060, best_loss=0.272588
- 2022-01-02 20:39:03,979 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.213648796081543s
- 2022-01-02 20:39:03,979 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:39:03,979 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:39:03,979 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 964
- 2022-01-02 20:39:19,913 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.228896 Loss2 1.103750
- 2022-01-02 20:39:29,368 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275207, best_loss=0.274435
- 2022-01-02 20:39:34,751 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274984, best_loss=0.272588
- 2022-01-02 20:39:34,751 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.77255415916443s
- 2022-01-02 20:39:34,751 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:39:34,751 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:39:34,751 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 965
- 2022-01-02 20:39:50,684 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233332 Loss2 1.122314
- 2022-01-02 20:39:59,948 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275079, best_loss=0.274435
- 2022-01-02 20:40:05,374 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275042, best_loss=0.272588
- 2022-01-02 20:40:05,375 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.623732805252075s
- 2022-01-02 20:40:05,375 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:40:05,375 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:40:05,375 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 966
- 2022-01-02 20:40:21,098 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250998 Loss2 1.114920
- 2022-01-02 20:40:30,331 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275376, best_loss=0.274435
- 2022-01-02 20:40:35,656 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274952, best_loss=0.272588
- 2022-01-02 20:40:35,656 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.280643701553345s
- 2022-01-02 20:40:35,656 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:40:35,656 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:40:35,656 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 967
- 2022-01-02 20:40:51,462 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241369 Loss2 1.029721
- 2022-01-02 20:41:00,723 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275093, best_loss=0.274435
- 2022-01-02 20:41:06,126 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275081, best_loss=0.272588
- 2022-01-02 20:41:06,126 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.469501495361328s
- 2022-01-02 20:41:06,126 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:41:06,126 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:41:06,126 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 968
- 2022-01-02 20:41:22,056 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.270296 Loss2 1.100148
- 2022-01-02 20:41:31,326 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275335, best_loss=0.274435
- 2022-01-02 20:41:36,717 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275013, best_loss=0.272588
- 2022-01-02 20:41:36,717 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.590943336486816s
- 2022-01-02 20:41:36,717 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:41:36,717 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:41:36,717 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 969
- 2022-01-02 20:41:52,652 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.224961 Loss2 1.027053
- 2022-01-02 20:42:01,914 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275206, best_loss=0.274435
- 2022-01-02 20:42:07,315 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275142, best_loss=0.272588
- 2022-01-02 20:42:07,315 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.597955226898193s
- 2022-01-02 20:42:07,316 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:42:07,316 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:42:07,316 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 970
- 2022-01-02 20:42:23,244 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241425 Loss2 1.048463
- 2022-01-02 20:42:32,513 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275329, best_loss=0.274435
- 2022-01-02 20:42:38,099 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275077, best_loss=0.272588
- 2022-01-02 20:42:38,100 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.784428358078003s
- 2022-01-02 20:42:38,100 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:42:38,100 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:42:38,100 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 971
- 2022-01-02 20:42:53,842 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258305 Loss2 1.031373
- 2022-01-02 20:43:03,103 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275074, best_loss=0.274435
- 2022-01-02 20:43:08,512 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275106, best_loss=0.272588
- 2022-01-02 20:43:08,512 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.41194748878479s
- 2022-01-02 20:43:08,512 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:43:08,512 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:43:08,512 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 972
- 2022-01-02 20:43:24,427 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229379 Loss2 0.966435
- 2022-01-02 20:43:33,692 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275336, best_loss=0.274435
- 2022-01-02 20:43:39,079 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275047, best_loss=0.272588
- 2022-01-02 20:43:39,079 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.566937923431396s
- 2022-01-02 20:43:39,079 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:43:39,079 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:43:39,079 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 973
- 2022-01-02 20:43:55,025 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.266090 Loss2 1.120734
- 2022-01-02 20:44:04,277 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275145, best_loss=0.274435
- 2022-01-02 20:44:09,673 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274982, best_loss=0.272588
- 2022-01-02 20:44:09,673 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.5933735370636s
- 2022-01-02 20:44:09,674 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:44:09,674 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:44:09,674 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 974
- 2022-01-02 20:44:25,606 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.260885 Loss2 1.131854
- 2022-01-02 20:44:34,866 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275211, best_loss=0.274435
- 2022-01-02 20:44:40,263 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274950, best_loss=0.272588
- 2022-01-02 20:44:40,263 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589107036590576s
- 2022-01-02 20:44:40,263 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:44:40,263 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:44:40,263 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 975
- 2022-01-02 20:44:56,198 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.236563 Loss2 1.042799
- 2022-01-02 20:45:05,468 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275284, best_loss=0.274435
- 2022-01-02 20:45:10,852 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274932, best_loss=0.272588
- 2022-01-02 20:45:10,853 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.589349508285522s
- 2022-01-02 20:45:10,853 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:45:10,853 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:45:10,853 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 976
- 2022-01-02 20:45:26,597 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257451 Loss2 1.112646
- 2022-01-02 20:45:35,846 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275195, best_loss=0.274435
- 2022-01-02 20:45:41,274 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274882, best_loss=0.272588
- 2022-01-02 20:45:41,274 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.421638011932373s
- 2022-01-02 20:45:41,274 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:45:41,274 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:45:41,274 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 977
- 2022-01-02 20:45:56,988 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.227401 Loss2 1.053122
- 2022-01-02 20:46:06,245 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275103, best_loss=0.274435
- 2022-01-02 20:46:11,446 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274949, best_loss=0.272588
- 2022-01-02 20:46:11,447 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.172191381454468s
- 2022-01-02 20:46:11,447 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:46:11,447 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:46:11,447 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 978
- 2022-01-02 20:46:27,376 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257047 Loss2 1.063937
- 2022-01-02 20:46:36,635 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275227, best_loss=0.274435
- 2022-01-02 20:46:42,025 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274985, best_loss=0.272588
- 2022-01-02 20:46:42,025 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.578161239624023s
- 2022-01-02 20:46:42,025 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:46:42,025 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:46:42,025 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 979
- 2022-01-02 20:46:57,781 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.257150 Loss2 1.066777
- 2022-01-02 20:47:07,031 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275214, best_loss=0.274435
- 2022-01-02 20:47:12,434 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.274999, best_loss=0.272588
- 2022-01-02 20:47:12,434 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.40840196609497s
- 2022-01-02 20:47:12,434 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:47:12,434 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:47:12,435 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 980
- 2022-01-02 20:47:28,362 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.254254 Loss2 1.080016
- 2022-01-02 20:47:37,627 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275492, best_loss=0.274435
- 2022-01-02 20:47:43,003 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275002, best_loss=0.272588
- 2022-01-02 20:47:43,004 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.568981170654297s
- 2022-01-02 20:47:43,004 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:47:43,004 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:47:43,004 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 981
- 2022-01-02 20:47:58,753 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247464 Loss2 1.088918
- 2022-01-02 20:48:08,000 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275495, best_loss=0.274435
- 2022-01-02 20:48:13,187 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275087, best_loss=0.272588
- 2022-01-02 20:48:13,188 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.183982610702515s
- 2022-01-02 20:48:13,188 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:48:13,188 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:48:13,188 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 982
- 2022-01-02 20:48:28,945 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.226733 Loss2 1.001132
- 2022-01-02 20:48:38,186 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275240, best_loss=0.274435
- 2022-01-02 20:48:43,624 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275046, best_loss=0.272588
- 2022-01-02 20:48:43,624 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.43639039993286s
- 2022-01-02 20:48:43,625 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:48:43,625 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:48:43,625 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 983
- 2022-01-02 20:48:59,528 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250930 Loss2 1.069624
- 2022-01-02 20:49:08,777 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275505, best_loss=0.274435
- 2022-01-02 20:49:14,211 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275136, best_loss=0.272588
- 2022-01-02 20:49:14,212 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58723521232605s
- 2022-01-02 20:49:14,212 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:49:14,212 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:49:14,212 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 984
- 2022-01-02 20:49:30,112 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.220102 Loss2 0.979926
- 2022-01-02 20:49:39,374 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275252, best_loss=0.274435
- 2022-01-02 20:49:44,767 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275192, best_loss=0.272588
- 2022-01-02 20:49:44,767 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.555583715438843s
- 2022-01-02 20:49:44,767 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:49:44,767 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:49:44,768 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 985
- 2022-01-02 20:50:00,516 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238316 Loss2 0.963439
- 2022-01-02 20:50:09,760 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275263, best_loss=0.274435
- 2022-01-02 20:50:14,958 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275271, best_loss=0.272588
- 2022-01-02 20:50:14,959 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.19092345237732s
- 2022-01-02 20:50:14,959 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:50:14,959 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:50:14,959 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 986
- 2022-01-02 20:50:30,705 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263559 Loss2 1.074305
- 2022-01-02 20:50:39,956 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275091, best_loss=0.274435
- 2022-01-02 20:50:45,351 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275281, best_loss=0.272588
- 2022-01-02 20:50:45,352 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.393160104751587s
- 2022-01-02 20:50:45,352 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:50:45,352 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:50:45,352 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 987
- 2022-01-02 20:51:01,099 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.241193 Loss2 1.074179
- 2022-01-02 20:51:10,326 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275272, best_loss=0.274435
- 2022-01-02 20:51:15,553 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275216, best_loss=0.272588
- 2022-01-02 20:51:15,554 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.20201349258423s
- 2022-01-02 20:51:15,554 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:51:15,554 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:51:15,554 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 988
- 2022-01-02 20:51:31,487 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.233832 Loss2 1.042655
- 2022-01-02 20:51:40,737 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275267, best_loss=0.274435
- 2022-01-02 20:51:46,134 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275127, best_loss=0.272588
- 2022-01-02 20:51:46,135 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58026909828186s
- 2022-01-02 20:51:46,135 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:51:46,135 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:51:46,135 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 989
- 2022-01-02 20:52:01,879 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.212728 Loss2 0.896416
- 2022-01-02 20:52:11,128 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275230, best_loss=0.274435
- 2022-01-02 20:52:16,566 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275072, best_loss=0.272588
- 2022-01-02 20:52:16,566 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.431472539901733s
- 2022-01-02 20:52:16,566 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:52:16,566 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:52:16,566 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 990
- 2022-01-02 20:52:32,669 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247379 Loss2 1.026480
- 2022-01-02 20:52:41,928 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275195, best_loss=0.274435
- 2022-01-02 20:52:47,321 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275084, best_loss=0.272588
- 2022-01-02 20:52:47,321 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.754918098449707s
- 2022-01-02 20:52:47,321 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:52:47,321 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:52:47,322 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 991
- 2022-01-02 20:53:03,063 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229778 Loss2 1.085938
- 2022-01-02 20:53:12,318 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275290, best_loss=0.274435
- 2022-01-02 20:53:17,707 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275182, best_loss=0.272588
- 2022-01-02 20:53:17,708 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.38566279411316s
- 2022-01-02 20:53:17,708 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:53:17,708 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:53:17,708 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 992
- 2022-01-02 20:53:33,457 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.252798 Loss2 1.016988
- 2022-01-02 20:53:42,703 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275309, best_loss=0.274435
- 2022-01-02 20:53:47,904 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275190, best_loss=0.272588
- 2022-01-02 20:53:47,905 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.19699501991272s
- 2022-01-02 20:53:47,905 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:53:47,905 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:53:47,905 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 993
- 2022-01-02 20:54:03,780 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.248393 Loss2 1.013111
- 2022-01-02 20:54:13,085 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275290, best_loss=0.274435
- 2022-01-02 20:54:18,516 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275166, best_loss=0.272588
- 2022-01-02 20:54:18,516 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.611675262451172s
- 2022-01-02 20:54:18,517 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:54:18,517 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:54:18,517 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 994
- 2022-01-02 20:54:34,443 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.263645 Loss2 1.101714
- 2022-01-02 20:54:43,698 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275182, best_loss=0.274435
- 2022-01-02 20:54:49,086 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275065, best_loss=0.272588
- 2022-01-02 20:54:49,086 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.56950879096985s
- 2022-01-02 20:54:49,086 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:54:49,086 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:54:49,086 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 995
- 2022-01-02 20:55:05,010 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.250819 Loss2 1.018649
- 2022-01-02 20:55:14,285 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275307, best_loss=0.274435
- 2022-01-02 20:55:19,667 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275094, best_loss=0.272588
- 2022-01-02 20:55:19,667 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.58063578605652s
- 2022-01-02 20:55:19,667 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:55:19,667 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:55:19,668 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 996
- 2022-01-02 20:55:35,425 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.258051 Loss2 1.050142
- 2022-01-02 20:55:44,680 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275284, best_loss=0.274435
- 2022-01-02 20:55:49,876 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275116, best_loss=0.272588
- 2022-01-02 20:55:49,877 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.2088680267334s
- 2022-01-02 20:55:49,877 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:55:49,877 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:55:49,877 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 997
- 2022-01-02 20:56:05,611 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.238626 Loss2 1.059013
- 2022-01-02 20:56:14,858 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275431, best_loss=0.274435
- 2022-01-02 20:56:20,249 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275155, best_loss=0.272588
- 2022-01-02 20:56:20,249 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.372124910354614s
- 2022-01-02 20:56:20,249 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:56:20,249 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:56:20,249 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 998
- 2022-01-02 20:56:36,192 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.247071 Loss2 1.093968
- 2022-01-02 20:56:45,467 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275443, best_loss=0.274435
- 2022-01-02 20:56:50,849 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275259, best_loss=0.272588
- 2022-01-02 20:56:50,849 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.599722146987915s
- 2022-01-02 20:56:50,849 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
- 2022-01-02 20:56:50,849 - G:/naic_csi_2021/tasks/train.py[line:176] - INFO: ###########
- 2022-01-02 20:56:50,850 - G:/naic_csi_2021/tasks/train.py[line:177] - INFO: epoch 999
- 2022-01-02 20:57:06,594 - G:/naic_csi_2021/tasks/train.py[line:193] - INFO: Epoch: [epoch] Loss 0.229920 Loss2 1.065840
- 2022-01-02 20:57:15,847 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275379, best_loss=0.274435
- 2022-01-02 20:57:21,241 - G:/naic_csi_2021/tasks/train.py[line:134] - INFO: average_loss=0.275270, best_loss=0.272588
- 2022-01-02 20:57:21,241 - G:/naic_csi_2021/tasks/train.py[line:204] - INFO: cost 30.391311407089233s
- 2022-01-02 20:57:21,241 - G:/naic_csi_2021/tasks/train.py[line:205] - INFO: ###########
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