[05.05.21|15:03:30] Training epoch: 0
[05.05.21|15:03:31] 	Iter 0 Done. | loss: 19.4848 | lr: 0.005000 | tf: 1.000000
[05.05.21|15:05:20] 	Iter 100 Done. | loss: 9.1888 | lr: 0.005000 | tf: 1.000000
[05.05.21|15:06:46] 	mean_loss: 1.3958305439773155. Best so far: inf (epoch: 0).
[05.05.21|15:06:46] Time consumption:
[05.05.21|15:06:46] Done.
[05.05.21|15:06:46] Eval epoch: 0
[05.05.21|15:06:47] 	mean_loss: 0.9992499558394905. Best so far: inf (epoch: 0).
[05.05.21|15:06:47] Done.
[05.05.21|15:06:48] Training epoch: 1
[05.05.21|15:07:39] 	Iter 200 Done. | loss: 9.6953 | lr: 0.004995 | tf: 1.000000
[05.05.21|15:10:25] 	Iter 300 Done. | loss: 7.2636 | lr: 0.004995 | tf: 1.000000
[05.05.21|15:11:05] 	mean_loss: 0.9588286294899466. Best so far: inf (epoch: 0).
[05.05.21|15:11:05] Time consumption:
[05.05.21|15:11:05] Done.
[05.05.21|15:11:05] Eval epoch: 1
[05.05.21|15:11:09] 	mean_loss: 1.0105020634472863. Best so far: inf (epoch: 0).
[05.05.21|15:11:09] Done.
[05.05.21|15:11:09] Training epoch: 2
[05.05.21|15:12:54] 	Iter 400 Done. | loss: 10.5631 | lr: 0.004990 | tf: 1.000000
[05.05.21|15:15:03] 	mean_loss: 0.972675289916981. Best so far: inf (epoch: 0).
[05.05.21|15:15:03] Time consumption:
[05.05.21|15:15:03] Done.
[05.05.21|15:15:03] Eval epoch: 2
[05.05.21|15:15:08] 	mean_loss: 1.0027496125971023. Best so far: inf (epoch: 0).
[05.05.21|15:15:08] Done.
[05.05.21|15:15:08] Training epoch: 3
[05.05.21|15:15:28] 	Iter 500 Done. | loss: 7.7257 | lr: 0.004985 | tf: 1.000000
[05.05.21|15:18:07] 	Iter 600 Done. | loss: 5.2145 | lr: 0.004985 | tf: 1.000000
[05.05.21|15:19:28] 	mean_loss: 1.0017139946174187. Best so far: inf (epoch: 0).
[05.05.21|15:19:28] Time consumption:
[05.05.21|15:19:28] Done.
[05.05.21|15:19:28] Eval epoch: 3
[05.05.21|15:19:32] 	mean_loss: 0.9371841441489429. Best so far: inf (epoch: 0).
[05.05.21|15:19:32] Done.
[05.05.21|15:19:32] Training epoch: 4
[05.05.21|15:20:48] 	Iter 700 Done. | loss: 9.1947 | lr: 0.004980 | tf: 1.000000
[05.05.21|15:23:27] 	Iter 800 Done. | loss: 6.9616 | lr: 0.004980 | tf: 1.000000
[05.05.21|15:23:50] 	mean_loss: 0.9916371791385029. Best so far: inf (epoch: 0).
[05.05.21|15:23:50] Time consumption:
[05.05.21|15:23:50] Done.
[05.05.21|15:23:50] Eval epoch: 4
[05.05.21|15:23:54] 	mean_loss: 1.0737434165091726. Best so far: inf (epoch: 0).
[05.05.21|15:23:54] Done.
[05.05.21|15:23:54] Training epoch: 5
[05.05.21|15:26:11] 	Iter 900 Done. | loss: 8.7964 | lr: 0.004975 | tf: 1.000000
[05.05.21|15:28:14] 	mean_loss: 0.8913036319738741. Best so far: inf (epoch: 0).
[05.05.21|15:28:14] Time consumption:
[05.05.21|15:28:14] Done.
[05.05.21|15:28:14] Eval epoch: 5
[05.05.21|15:28:18] 	mean_loss: 0.9396474239094923. Best so far: inf (epoch: 0).
[05.05.21|15:28:18] Done.
[05.05.21|15:28:18] Training epoch: 6
[05.05.21|15:28:58] 	Iter 1000 Done. | loss: 8.9074 | lr: 0.004970 | tf: 1.000000
[05.05.21|15:31:37] 	Iter 1100 Done. | loss: 5.7355 | lr: 0.004970 | tf: 1.000000
[05.05.21|15:32:43] 	mean_loss: 0.9889512659655398. Best so far: inf (epoch: 0).
[05.05.21|15:32:43] Time consumption:
[05.05.21|15:32:43] Done.
[05.05.21|15:32:43] Eval epoch: 6
[05.05.21|15:32:47] 	mean_loss: 0.9766470207017297. Best so far: inf (epoch: 0).
[05.05.21|15:32:47] Done.
[05.05.21|15:32:47] Training epoch: 7
[05.05.21|15:34:17] 	Iter 1200 Done. | loss: 8.9601 | lr: 0.004965 | tf: 1.000000
[05.05.21|15:36:38] 	Iter 1300 Done. | loss: 9.5019 | lr: 0.004965 | tf: 1.000000
[05.05.21|15:36:42] 	mean_loss: 0.95390129523409. Best so far: inf (epoch: 0).
[05.05.21|15:36:42] Time consumption:
[05.05.21|15:36:42] Done.
[05.05.21|15:36:42] Eval epoch: 7
[05.05.21|15:36:45] 	mean_loss: 1.0622098544965184. Best so far: inf (epoch: 0).
[05.05.21|15:36:45] Done.
[05.05.21|15:36:45] Training epoch: 8
[05.05.21|15:39:20] 	Iter 1400 Done. | loss: 9.1741 | lr: 0.004960 | tf: 1.000000
[05.05.21|15:40:48] 	mean_loss: 0.9328816239509784. Best so far: inf (epoch: 0).
[05.05.21|15:40:48] Time consumption:
[05.05.21|15:40:48] Done.
[05.05.21|15:40:48] Eval epoch: 8
[05.05.21|15:40:50] 	mean_loss: 1.0600583449983727. Best so far: inf (epoch: 0).
[05.05.21|15:40:50] Done.
[05.05.21|15:40:50] Training epoch: 9
[05.05.21|15:41:36] 	Iter 1500 Done. | loss: 9.0234 | lr: 0.004955 | tf: 1.000000
[05.05.21|15:44:15] 	Iter 1600 Done. | loss: 3.6176 | lr: 0.004955 | tf: 1.000000
[05.05.21|15:44:55] 	mean_loss: 0.9433998507778513. Best so far: inf (epoch: 0).
[05.05.21|15:44:55] Time consumption:
[05.05.21|15:44:55] Done.
[05.05.21|15:44:55] Eval epoch: 9
[05.05.21|15:44:59] 	mean_loss: 0.9970792514905247. Best so far: inf (epoch: 0).
[05.05.21|15:44:59] Done.
[05.05.21|15:44:59] Training epoch: 10
[05.05.21|15:46:37] 	Iter 1700 Done. | loss: 9.3306 | lr: 0.004950 | tf: 1.000000
[05.05.21|15:48:43] 	mean_loss: 0.9600273909825219. Best so far: inf (epoch: 0).
[05.05.21|15:48:43] Time consumption:
[05.05.21|15:48:43] Done.
[05.05.21|15:48:43] Eval epoch: 10
[05.05.21|15:48:47] 	mean_loss: 0.9483751353948119. Best so far: inf (epoch: 0).
[05.05.21|15:48:47] Done.
[05.05.21|15:48:47] Training epoch: 11
[05.05.21|15:48:58] 	Iter 1800 Done. | loss: 10.6535 | lr: 0.004945 | tf: 1.000000
[05.05.21|15:51:22] 	Iter 1900 Done. | loss: 9.1141 | lr: 0.004945 | tf: 1.000000
[05.05.21|15:52:41] 	mean_loss: 0.9374603234462222. Best so far: inf (epoch: 0).
[05.05.21|15:52:41] Time consumption:
[05.05.21|15:52:41] Done.
[05.05.21|15:52:41] Eval epoch: 11
[05.05.21|15:52:45] 	mean_loss: 0.9273657240449747. Best so far: inf (epoch: 0).
[05.05.21|15:52:45] Done.
[05.05.21|15:52:45] Training epoch: 12
[05.05.21|15:53:45] 	Iter 2000 Done. | loss: 4.0505 | lr: 0.004940 | tf: 1.000000
[05.05.21|15:56:04] 	Iter 2100 Done. | loss: 7.8278 | lr: 0.004940 | tf: 1.000000
[05.05.21|15:56:31] 	mean_loss: 0.9458339605635049. Best so far: inf (epoch: 0).
[05.05.21|15:56:31] Time consumption:
[05.05.21|15:56:31] Done.
[05.05.21|15:56:31] Eval epoch: 12
[05.05.21|15:56:33] 	mean_loss: 1.0346743372289924. Best so far: inf (epoch: 0).
[05.05.21|15:56:33] Done.
[05.05.21|15:56:33] Training epoch: 13
[05.05.21|15:58:37] 	Iter 2200 Done. | loss: 5.8818 | lr: 0.004935 | tf: 1.000000
[05.05.21|16:00:41] 	mean_loss: 0.9531801504254167. Best so far: inf (epoch: 0).
[05.05.21|16:00:41] Time consumption:
[05.05.21|16:00:41] Done.
[05.05.21|16:00:41] Eval epoch: 13
[05.05.21|16:00:45] 	mean_loss: 1.0775183455099295. Best so far: inf (epoch: 0).
[05.05.21|16:00:45] Done.
[05.05.21|16:00:45] Training epoch: 14
[05.05.21|16:01:12] 	Iter 2300 Done. | loss: 4.9232 | lr: 0.004930 | tf: 1.000000
[05.05.21|16:03:40] 	Iter 2400 Done. | loss: 5.8273 | lr: 0.004930 | tf: 1.000000
[05.05.21|16:04:43] 	mean_loss: 0.9419064841936481. Best so far: inf (epoch: 0).
[05.05.21|16:04:43] Time consumption:
[05.05.21|16:04:43] Done.
[05.05.21|16:04:43] Eval epoch: 14
[05.05.21|16:04:46] 	mean_loss: 0.978691024668413. Best so far: inf (epoch: 0).
[05.05.21|16:04:46] Done.
[05.05.21|16:04:46] Training epoch: 15
[05.05.21|16:06:06] 	Iter 2500 Done. | loss: 5.8894 | lr: 0.004926 | tf: 1.000000
[05.05.21|16:08:33] 	Iter 2600 Done. | loss: 7.3442 | lr: 0.004926 | tf: 1.000000
[05.05.21|16:08:43] 	mean_loss: 0.9581823397932445. Best so far: inf (epoch: 0).
[05.05.21|16:08:43] Time consumption:
[05.05.21|16:08:43] Done.
[05.05.21|16:08:43] Eval epoch: 15
[05.05.21|16:08:46] 	mean_loss: 1.9236401362961557. Best so far: inf (epoch: 0).
[05.05.21|16:08:46] Done.
[05.05.21|16:08:46] Training epoch: 16
[05.05.21|16:11:02] 	Iter 2700 Done. | loss: 10.2572 | lr: 0.004921 | tf: 1.000000
[05.05.21|16:12:46] 	mean_loss: 0.8850852577506872. Best so far: inf (epoch: 0).
[05.05.21|16:12:46] Time consumption:
[05.05.21|16:12:46] Done.
[05.05.21|16:12:46] Eval epoch: 16
[05.05.21|16:12:49] 	mean_loss: 1.779864113063764. Best so far: inf (epoch: 0).
[05.05.21|16:12:49] Done.
[05.05.21|16:12:49] Training epoch: 17
[05.05.21|16:13:31] 	Iter 2800 Done. | loss: 2.5814 | lr: 0.004916 | tf: 1.000000
[05.05.21|16:15:55] 	Iter 2900 Done. | loss: 3.7705 | lr: 0.004916 | tf: 1.000000
[05.05.21|16:16:43] 	mean_loss: 0.956407468366208. Best so far: inf (epoch: 0).
[05.05.21|16:16:43] Time consumption:
[05.05.21|16:16:43] Done.
[05.05.21|16:16:43] Eval epoch: 17
[05.05.21|16:16:46] 	mean_loss: 1.7774145630739697. Best so far: inf (epoch: 0).
[05.05.21|16:16:46] Done.
[05.05.21|16:16:46] Training epoch: 18
[05.05.21|16:18:23] 	Iter 3000 Done. | loss: 8.0420 | lr: 0.004911 | tf: 1.000000
[05.05.21|16:20:41] 	mean_loss: 0.9280917575051602. Best so far: inf (epoch: 0).
[05.05.21|16:20:41] Time consumption:
[05.05.21|16:20:41] Done.
[05.05.21|16:20:41] Eval epoch: 18
[05.05.21|16:20:44] 	mean_loss: 1.7669670864727127. Best so far: inf (epoch: 0).
[05.05.21|16:20:44] Done.
[05.05.21|16:20:44] Training epoch: 19
[05.05.21|16:20:51] 	Iter 3100 Done. | loss: 5.3821 | lr: 0.004906 | tf: 1.000000
[05.05.21|16:23:16] 	Iter 3200 Done. | loss: 8.7767 | lr: 0.004906 | tf: 1.000000
[05.05.21|16:24:39] 	mean_loss: 0.9573885844392823. Best so far: inf (epoch: 0).
[05.05.21|16:24:39] Time consumption:
[05.05.21|16:24:39] Done.
[05.05.21|16:24:39] Eval epoch: 19
[05.05.21|16:24:42] 	mean_loss: 1.7321295228625768. Best so far: inf (epoch: 0).
[05.05.21|16:24:42] Done.
[05.05.21|16:24:42] Training epoch: 20
[05.05.21|16:25:43] 	Iter 3300 Done. | loss: 8.3677 | lr: 0.004901 | tf: 1.000000
[05.05.21|16:28:11] 	Iter 3400 Done. | loss: 10.6252 | lr: 0.004901 | tf: 1.000000
[05.05.21|16:28:44] 	mean_loss: 0.9060245576377686. Best so far: inf (epoch: 0).
[05.05.21|16:28:44] Time consumption:
[05.05.21|16:28:44] Done.
[05.05.21|16:28:44] Eval epoch: 20
[05.05.21|16:28:48] 	mean_loss: 0.9383321406042751. Best so far: inf (epoch: 0).
[05.05.21|16:28:48] Done.
[05.05.21|16:28:49] Training epoch: 21
[05.05.21|16:30:44] 	Iter 3500 Done. | loss: 15.5871 | lr: 0.004896 | tf: 1.000000
[05.05.21|16:32:37] 	mean_loss: 0.9887009368288625. Best so far: inf (epoch: 0).
[05.05.21|16:32:37] Time consumption:
[05.05.21|16:32:37] Done.
[05.05.21|16:32:37] Eval epoch: 21
[05.05.21|16:32:39] 	mean_loss: 0.8912549088888446. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:32:39] Done.
[05.05.21|16:32:39] Training epoch: 22
[05.05.21|16:32:58] 	Iter 3600 Done. | loss: 10.3715 | lr: 0.004891 | tf: 0.995000
[05.05.21|16:35:19] 	Iter 3700 Done. | loss: 7.4604 | lr: 0.004891 | tf: 0.995000
[05.05.21|16:36:32] 	mean_loss: 0.9770933317844362. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:36:32] Time consumption:
[05.05.21|16:36:32] Done.
[05.05.21|16:36:32] Eval epoch: 22
[05.05.21|16:36:37] 	mean_loss: 0.9668326132517636. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:36:37] Done.
[05.05.21|16:36:37] Training epoch: 23
[05.05.21|16:37:57] 	Iter 3800 Done. | loss: 8.8768 | lr: 0.004886 | tf: 0.990025
[05.05.21|16:40:21] 	Iter 3900 Done. | loss: 8.8898 | lr: 0.004886 | tf: 0.990025
[05.05.21|16:40:35] 	mean_loss: 0.9595325098569105. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:40:35] Time consumption:
[05.05.21|16:40:35] Done.
[05.05.21|16:40:35] Eval epoch: 23
[05.05.21|16:40:40] 	mean_loss: 1.0323093454356547. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:40:40] Done.
[05.05.21|16:40:40] Training epoch: 24
[05.05.21|16:42:57] 	Iter 4000 Done. | loss: 7.0136 | lr: 0.004881 | tf: 0.985075
[05.05.21|16:44:36] 	mean_loss: 0.9355571796860163. Best so far: 0.8912549088888446 (epoch: 21).
[05.05.21|16:44:36] Time consumption:
[05.05.21|16:44:36] Done.
[05.05.21|16:44:36] Eval epoch: 24
[05.05.21|16:44:39] 	mean_loss: 0.8831059234984182. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:44:39] Done.
[05.05.21|16:44:39] Training epoch: 25
[05.05.21|16:45:17] 	Iter 4100 Done. | loss: 3.9932 | lr: 0.004876 | tf: 0.980150
[05.05.21|16:47:43] 	Iter 4200 Done. | loss: 8.7231 | lr: 0.004876 | tf: 0.980150
[05.05.21|16:48:33] 	mean_loss: 0.944765570707188. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:48:33] Time consumption:
[05.05.21|16:48:33] Done.
[05.05.21|16:48:33] Eval epoch: 25
[05.05.21|16:48:37] 	mean_loss: 0.9640307430623922. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:48:37] Done.
[05.05.21|16:48:37] Training epoch: 26
[05.05.21|16:50:14] 	Iter 4300 Done. | loss: 7.4206 | lr: 0.004872 | tf: 0.975249
[05.05.21|16:52:46] 	Iter 4400 Done. | loss: 10.5182 | lr: 0.004872 | tf: 0.975249
[05.05.21|16:52:46] 	mean_loss: 0.9362551894725669. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:52:46] Time consumption:
[05.05.21|16:52:46] Done.
[05.05.21|16:52:46] Eval epoch: 26
[05.05.21|16:52:49] 	mean_loss: 0.9395062177208612. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:52:49] Done.
[05.05.21|16:52:49] Training epoch: 27
[05.05.21|16:55:19] 	Iter 4500 Done. | loss: 5.6090 | lr: 0.004867 | tf: 0.970373
[05.05.21|16:56:40] 	mean_loss: 0.9576888551855509. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:56:40] Time consumption:
[05.05.21|16:56:40] Done.
[05.05.21|16:56:40] Eval epoch: 27
[05.05.21|16:56:42] 	mean_loss: 1.0341446146018811. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:56:42] Done.
[05.05.21|16:56:42] Training epoch: 28
[05.05.21|16:57:23] 	Iter 4600 Done. | loss: 7.4313 | lr: 0.004862 | tf: 0.965521
[05.05.21|16:59:18] 	Iter 4700 Done. | loss: 8.7886 | lr: 0.004862 | tf: 0.965521
[05.05.21|16:59:51] 	mean_loss: 0.9656054494674888. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:59:51] Time consumption:
[05.05.21|16:59:51] Done.
[05.05.21|16:59:51] Eval epoch: 28
[05.05.21|16:59:53] 	mean_loss: 0.9137065554541479. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|16:59:53] Done.
[05.05.21|16:59:53] Training epoch: 29
[05.05.21|17:01:52] 	Iter 4800 Done. | loss: 4.2048 | lr: 0.004857 | tf: 0.960693
[05.05.21|17:03:57] 	mean_loss: 0.9449846476933834. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:03:57] Time consumption:
[05.05.21|17:03:57] Done.
[05.05.21|17:03:57] Eval epoch: 29
[05.05.21|17:04:01] 	mean_loss: 0.9532287461696465. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:04:01] Done.
[05.05.21|17:04:01] Training epoch: 30
[05.05.21|17:04:16] 	Iter 4900 Done. | loss: 5.6902 | lr: 0.004852 | tf: 0.955890
[05.05.21|17:06:27] 	Iter 5000 Done. | loss: 6.9017 | lr: 0.004852 | tf: 0.955890
[05.05.21|17:07:38] 	mean_loss: 0.9857093960176581. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:07:38] Time consumption:
[05.05.21|17:07:38] Done.
[05.05.21|17:07:38] Eval epoch: 30
[05.05.21|17:07:40] 	mean_loss: 1.018576263937416. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:07:40] Done.
[05.05.21|17:07:40] Training epoch: 31
[05.05.21|17:08:47] 	Iter 5100 Done. | loss: 9.0071 | lr: 0.004847 | tf: 0.951110
[05.05.21|17:11:00] 	Iter 5200 Done. | loss: 6.8860 | lr: 0.004847 | tf: 0.951110
[05.05.21|17:11:17] 	mean_loss: 0.9475657472472329. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:11:17] Time consumption:
[05.05.21|17:11:17] Done.
[05.05.21|17:11:17] Eval epoch: 31
[05.05.21|17:11:20] 	mean_loss: 0.9310023838564748. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:11:20] Done.
[05.05.21|17:11:20] Training epoch: 32
[05.05.21|17:12:59] 	Iter 5300 Done. | loss: 7.4745 | lr: 0.004842 | tf: 0.946355
[05.05.21|17:14:38] 	mean_loss: 0.9243707695609988. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:14:38] Time consumption:
[05.05.21|17:14:38] Done.
[05.05.21|17:14:38] Eval epoch: 32
[05.05.21|17:14:40] 	mean_loss: 0.9733559836357748. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:14:40] Done.
[05.05.21|17:14:40] Training epoch: 33
[05.05.21|17:15:09] 	Iter 5400 Done. | loss: 10.4614 | lr: 0.004838 | tf: 0.941623
[05.05.21|17:17:22] 	Iter 5500 Done. | loss: 10.4769 | lr: 0.004838 | tf: 0.941623
[05.05.21|17:18:17] 	mean_loss: 0.965192329289679. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:18:17] Time consumption:
[05.05.21|17:18:17] Done.
[05.05.21|17:18:17] Eval epoch: 33
[05.05.21|17:18:19] 	mean_loss: 0.9566864509378455. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:18:19] Done.
[05.05.21|17:18:19] Training epoch: 34
[05.05.21|17:19:36] 	Iter 5600 Done. | loss: 10.4654 | lr: 0.004833 | tf: 0.936915
[05.05.21|17:21:58] 	Iter 5700 Done. | loss: 9.1944 | lr: 0.004833 | tf: 0.936915
[05.05.21|17:22:03] 	mean_loss: 0.9199960547119738. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:22:03] Time consumption:
[05.05.21|17:22:03] Done.
[05.05.21|17:22:03] Eval epoch: 34
[05.05.21|17:22:05] 	mean_loss: 1.0081525910459854. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:22:05] Done.
[05.05.21|17:22:05] Training epoch: 35
[05.05.21|17:24:16] 	Iter 5800 Done. | loss: 4.0617 | lr: 0.004828 | tf: 0.932230
[05.05.21|17:25:48] 	mean_loss: 0.9471815146818524. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:25:48] Time consumption:
[05.05.21|17:25:48] Done.
[05.05.21|17:25:48] Eval epoch: 35
[05.05.21|17:25:50] 	mean_loss: 1.022338214051965. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:25:50] Done.
[05.05.21|17:25:50] Training epoch: 36
[05.05.21|17:26:37] 	Iter 5900 Done. | loss: 5.4554 | lr: 0.004823 | tf: 0.927569
[05.05.21|17:28:55] 	Iter 6000 Done. | loss: 7.5344 | lr: 0.004823 | tf: 0.927569
[05.05.21|17:29:35] 	mean_loss: 0.9493246763322479. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:29:35] Time consumption:
[05.05.21|17:29:35] Done.
[05.05.21|17:29:35] Eval epoch: 36
[05.05.21|17:29:37] 	mean_loss: 0.9664099612160917. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:29:37] Done.
[05.05.21|17:29:37] Training epoch: 37
[05.05.21|17:31:11] 	Iter 6100 Done. | loss: 7.7767 | lr: 0.004818 | tf: 0.922931
[05.05.21|17:33:21] 	mean_loss: 0.9360460562819022. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:33:21] Time consumption:
[05.05.21|17:33:21] Done.
[05.05.21|17:33:21] Eval epoch: 37
[05.05.21|17:33:24] 	mean_loss: 0.9005883346756569. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:33:24] Done.
[05.05.21|17:33:24] Training epoch: 38
[05.05.21|17:33:33] 	Iter 6200 Done. | loss: 9.3418 | lr: 0.004813 | tf: 0.918316
[05.05.21|17:35:45] 	Iter 6300 Done. | loss: 8.8547 | lr: 0.004813 | tf: 0.918316
[05.05.21|17:36:57] 	mean_loss: 0.9427630805480816. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:36:57] Time consumption:
[05.05.21|17:36:57] Done.
[05.05.21|17:36:57] Eval epoch: 38
[05.05.21|17:36:59] 	mean_loss: 0.942056286975834. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:36:59] Done.
[05.05.21|17:36:59] Training epoch: 39
[05.05.21|17:37:55] 	Iter 6400 Done. | loss: 5.8137 | lr: 0.004809 | tf: 0.913725
[05.05.21|17:40:07] 	Iter 6500 Done. | loss: 3.5574 | lr: 0.004809 | tf: 0.913725
[05.05.21|17:40:32] 	mean_loss: 0.9015338312568826. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:40:32] Time consumption:
[05.05.21|17:40:32] Done.
[05.05.21|17:40:32] Eval epoch: 39
[05.05.21|17:40:34] 	mean_loss: 0.9463560980986713. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:40:34] Done.
[05.05.21|17:40:34] Training epoch: 40
[05.05.21|17:42:16] 	Iter 6600 Done. | loss: 10.6498 | lr: 0.004804 | tf: 0.909156
[05.05.21|17:44:01] 	mean_loss: 0.9304404458215546. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:44:01] Time consumption:
[05.05.21|17:44:01] Done.
[05.05.21|17:44:01] Eval epoch: 40
[05.05.21|17:44:03] 	mean_loss: 0.9786400598017417. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:44:03] Done.
[05.05.21|17:44:03] Training epoch: 41
[05.05.21|17:44:28] 	Iter 6700 Done. | loss: 6.4939 | lr: 0.004799 | tf: 0.904610
[05.05.21|17:46:34] 	Iter 6800 Done. | loss: 10.5578 | lr: 0.004799 | tf: 0.904610
[05.05.21|17:47:33] 	mean_loss: 0.9181938855315751. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:47:33] Time consumption:
[05.05.21|17:47:33] Done.
[05.05.21|17:47:33] Eval epoch: 41
[05.05.21|17:47:35] 	mean_loss: 1.0171324885830066. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:47:35] Done.
[05.05.21|17:47:35] Training epoch: 42
[05.05.21|17:48:44] 	Iter 6900 Done. | loss: 7.0982 | lr: 0.004794 | tf: 0.900087
[05.05.21|17:50:47] 	Iter 7000 Done. | loss: 7.6691 | lr: 0.004794 | tf: 0.900087
[05.05.21|17:50:56] 	mean_loss: 0.9315557666971794. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:50:56] Time consumption:
[05.05.21|17:50:56] Done.
[05.05.21|17:50:56] Eval epoch: 42
[05.05.21|17:50:58] 	mean_loss: 0.9562501489901586. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:50:58] Done.
[05.05.21|17:50:58] Training epoch: 43
[05.05.21|17:52:50] 	Iter 7100 Done. | loss: 5.7691 | lr: 0.004789 | tf: 0.895587
[05.05.21|17:54:17] 	mean_loss: 0.9222852309220259. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:54:17] Time consumption:
[05.05.21|17:54:17] Done.
[05.05.21|17:54:17] Eval epoch: 43
[05.05.21|17:54:19] 	mean_loss: 0.9688820766756254. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:54:19] Done.
[05.05.21|17:54:19] Training epoch: 44
[05.05.21|17:54:55] 	Iter 7200 Done. | loss: 7.5029 | lr: 0.004785 | tf: 0.891109
[05.05.21|17:56:57] 	Iter 7300 Done. | loss: 3.3107 | lr: 0.004785 | tf: 0.891109
[05.05.21|17:57:39] 	mean_loss: 12.878274980020882. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:57:39] Time consumption:
[05.05.21|17:57:39] Done.
[05.05.21|17:57:39] Eval epoch: 44
[05.05.21|17:57:41] 	mean_loss: 1.0522390721619395. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|17:57:41] Done.
[05.05.21|17:57:41] Training epoch: 45
[05.05.21|17:59:00] 	Iter 7400 Done. | loss: 8.1589 | lr: 0.004780 | tf: 0.886654
[05.05.21|18:00:57] 	mean_loss: 0.938802496847268. Best so far: 0.8831059234984182 (epoch: 24).
[05.05.21|18:00:57] Time consumption:
[05.05.21|18:00:57] Done.
[05.05.21|18:00:57] Eval epoch: 45
[05.05.21|18:00:59] 	mean_loss: 0.8530104907001564. Best so far: 0.8530104907001564 (epoch: 45).
[05.05.21|18:00:59] Done.
[05.05.21|18:00:59] Training epoch: 46
[05.05.21|18:01:03] 	Iter 7500 Done. | loss: 8.7503 | lr: 0.004775 | tf: 0.882220
[05.05.21|18:03:05] 	Iter 7600 Done. | loss: 9.3557 | lr: 0.004775 | tf: 0.882220
[05.05.21|18:04:16] 	mean_loss: 0.9454862801455062. Best so far: 0.8530104907001564 (epoch: 45).
[05.05.21|18:04:16] Time consumption:
[05.05.21|18:04:16] Done.
[05.05.21|18:04:16] Eval epoch: 46
[05.05.21|18:04:18] 	mean_loss: 0.850496145113669. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:04:18] Done.
[05.05.21|18:04:18] Training epoch: 47
[05.05.21|18:05:06] 	Iter 7700 Done. | loss: 7.4679 | lr: 0.004770 | tf: 0.877809
[05.05.21|18:07:08] 	Iter 7800 Done. | loss: 8.7220 | lr: 0.004770 | tf: 0.877809
[05.05.21|18:07:36] 	mean_loss: 0.9220293114665401. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:07:36] Time consumption:
[05.05.21|18:07:36] Done.
[05.05.21|18:07:36] Eval epoch: 47
[05.05.21|18:07:38] 	mean_loss: 0.9268106107743679. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:07:38] Done.
[05.05.21|18:07:38] Training epoch: 48
[05.05.21|18:09:11] 	Iter 7900 Done. | loss: 5.2050 | lr: 0.004766 | tf: 0.873420
[05.05.21|18:10:58] 	mean_loss: 0.9208890080493468. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:10:58] Time consumption:
[05.05.21|18:10:58] Done.
[05.05.21|18:10:58] Eval epoch: 48
[05.05.21|18:11:00] 	mean_loss: 0.9401488637038927. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:11:00] Done.
[05.05.21|18:11:00] Training epoch: 49
[05.05.21|18:11:18] 	Iter 8000 Done. | loss: 7.3326 | lr: 0.004761 | tf: 0.869053
[05.05.21|18:13:26] 	Iter 8100 Done. | loss: 8.7586 | lr: 0.004761 | tf: 0.869053
[05.05.21|18:14:32] 	mean_loss: 0.9290902243599465. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:14:32] Time consumption:
[05.05.21|18:14:32] Done.
[05.05.21|18:14:32] Eval epoch: 49
[05.05.21|18:14:34] 	mean_loss: 0.9783441360246202. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:14:34] Done.
[05.05.21|18:14:34] Training epoch: 50
[05.05.21|18:15:40] 	Iter 8200 Done. | loss: 8.9051 | lr: 0.004756 | tf: 0.864708
[05.05.21|18:17:51] 	Iter 8300 Done. | loss: 7.0649 | lr: 0.004756 | tf: 0.864708
[05.05.21|18:18:06] 	mean_loss: 0.9205343565504277. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:18:06] Time consumption:
[05.05.21|18:18:06] Done.
[05.05.21|18:18:06] Eval epoch: 50
[05.05.21|18:18:08] 	mean_loss: 0.8650526738983576. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:18:08] Done.
[05.05.21|18:18:08] Training epoch: 51
[05.05.21|18:20:01] 	Iter 8400 Done. | loss: 8.7076 | lr: 0.004751 | tf: 0.860384
[05.05.21|18:21:37] 	mean_loss: 0.9806082477796295. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:21:37] Time consumption:
[05.05.21|18:21:37] Done.
[05.05.21|18:21:37] Eval epoch: 51
[05.05.21|18:21:39] 	mean_loss: 0.9290612388861903. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:21:39] Done.
[05.05.21|18:21:39] Training epoch: 52
[05.05.21|18:22:13] 	Iter 8500 Done. | loss: 9.0023 | lr: 0.004747 | tf: 0.856082
[05.05.21|18:24:24] 	Iter 8600 Done. | loss: 9.2094 | lr: 0.004747 | tf: 0.856082
[05.05.21|18:25:14] 	mean_loss: 0.9432827634778053. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:25:14] Time consumption:
[05.05.21|18:25:14] Done.
[05.05.21|18:25:14] Eval epoch: 52
[05.05.21|18:25:15] 	mean_loss: 0.9765036379848526. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:25:15] Done.
[05.05.21|18:25:15] Training epoch: 53
[05.05.21|18:26:28] 	Iter 8700 Done. | loss: 8.7441 | lr: 0.004742 | tf: 0.851802
[05.05.21|18:28:25] 	Iter 8800 Done. | loss: 8.8611 | lr: 0.004742 | tf: 0.851802
[05.05.21|18:28:26] 	mean_loss: 0.9564348417433612. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:28:26] Time consumption:
[05.05.21|18:28:26] Done.
[05.05.21|18:28:26] Eval epoch: 53
[05.05.21|18:28:27] 	mean_loss: 1.0952599306024917. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:28:27] Done.
[05.05.21|18:28:27] Training epoch: 54
[05.05.21|18:30:25] 	Iter 8900 Done. | loss: 9.1221 | lr: 0.004737 | tf: 0.847543
[05.05.21|18:31:35] 	mean_loss: 0.9902720392590251. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:31:35] Time consumption:
[05.05.21|18:31:35] Done.
[05.05.21|18:31:35] Eval epoch: 54
[05.05.21|18:31:36] 	mean_loss: 0.9883368648176212. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:31:36] Done.
[05.05.21|18:31:36] Training epoch: 55
[05.05.21|18:32:16] 	Iter 9000 Done. | loss: 3.8823 | lr: 0.004732 | tf: 0.843305
[05.05.21|18:34:07] 	Iter 9100 Done. | loss: 9.0524 | lr: 0.004732 | tf: 0.843305
[05.05.21|18:34:39] 	mean_loss: 0.9249023192033803. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:34:39] Time consumption:
[05.05.21|18:34:39] Done.
[05.05.21|18:34:39] Eval epoch: 55
[05.05.21|18:34:40] 	mean_loss: 0.9727412205454573. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:34:40] Done.
[05.05.21|18:34:40] Training epoch: 56
[05.05.21|18:36:05] 	Iter 9200 Done. | loss: 5.5838 | lr: 0.004728 | tf: 0.839089
[05.05.21|18:37:43] 	mean_loss: 0.9389190486593749. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:37:43] Time consumption:
[05.05.21|18:37:43] Done.
[05.05.21|18:37:43] Eval epoch: 56
[05.05.21|18:37:45] 	mean_loss: 0.9927637384847193. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:37:45] Done.
[05.05.21|18:37:45] Training epoch: 57
[05.05.21|18:37:56] 	Iter 9300 Done. | loss: 5.6158 | lr: 0.004723 | tf: 0.834893
[05.05.21|18:39:46] 	Iter 9400 Done. | loss: 6.4639 | lr: 0.004723 | tf: 0.834893
[05.05.21|18:40:46] 	mean_loss: 0.9722910462105057. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:40:46] Time consumption:
[05.05.21|18:40:46] Done.
[05.05.21|18:40:46] Eval epoch: 57
[05.05.21|18:40:47] 	mean_loss: 0.8904309541581125. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:40:47] Done.
[05.05.21|18:40:47] Training epoch: 58
[05.05.21|18:41:40] 	Iter 9500 Done. | loss: 7.0575 | lr: 0.004718 | tf: 0.830719
[05.05.21|18:43:30] 	Iter 9600 Done. | loss: 7.9127 | lr: 0.004718 | tf: 0.830719
[05.05.21|18:43:48] 	mean_loss: 0.9397667541096048. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:43:48] Time consumption:
[05.05.21|18:43:48] Done.
[05.05.21|18:43:48] Eval epoch: 58
[05.05.21|18:43:49] 	mean_loss: 0.8644165028829928. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:43:49] Done.
[05.05.21|18:43:49] Training epoch: 59
[05.05.21|18:45:23] 	Iter 9700 Done. | loss: 3.9290 | lr: 0.004713 | tf: 0.826565
[05.05.21|18:46:53] 	mean_loss: 0.948479350109377. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:46:53] Time consumption:
[05.05.21|18:46:53] Done.
[05.05.21|18:46:53] Eval epoch: 59
[05.05.21|18:46:54] 	mean_loss: 0.9360004082102628. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:46:54] Done.
[05.05.21|18:46:54] Training epoch: 60
[05.05.21|18:47:17] 	Iter 9800 Done. | loss: 6.9411 | lr: 0.004709 | tf: 0.822432
[05.05.21|18:49:08] 	Iter 9900 Done. | loss: 10.7857 | lr: 0.004709 | tf: 0.822432
[05.05.21|18:49:54] 	mean_loss: 0.954058610517724. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:49:54] Time consumption:
[05.05.21|18:49:54] Done.
[05.05.21|18:49:54] Eval epoch: 60
[05.05.21|18:49:55] 	mean_loss: 0.9422582848043524. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:49:55] Done.
[05.05.21|18:49:55] Training epoch: 61
[05.05.21|18:51:01] 	Iter 10000 Done. | loss: 12.2544 | lr: 0.004704 | tf: 0.818320
[05.05.21|18:52:54] 	Iter 10100 Done. | loss: 8.2543 | lr: 0.004704 | tf: 0.818320
[05.05.21|18:53:01] 	mean_loss: 0.8907235707477951. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:53:01] Time consumption:
[05.05.21|18:53:01] Done.
[05.05.21|18:53:01] Eval epoch: 61
[05.05.21|18:53:02] 	mean_loss: 0.9768793857368729. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:53:02] Done.
[05.05.21|18:53:02] Training epoch: 62
[05.05.21|18:54:55] 	Iter 10200 Done. | loss: 6.7786 | lr: 0.004699 | tf: 0.814229
[05.05.21|18:56:13] 	mean_loss: 0.9676879761937957. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:56:13] Time consumption:
[05.05.21|18:56:13] Done.
[05.05.21|18:56:13] Eval epoch: 62
[05.05.21|18:56:14] 	mean_loss: 0.9167465563625449. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:56:14] Done.
[05.05.21|18:56:14] Training epoch: 63
[05.05.21|18:56:50] 	Iter 10300 Done. | loss: 8.7074 | lr: 0.004695 | tf: 0.810157
[05.05.21|18:58:47] 	Iter 10400 Done. | loss: 5.9754 | lr: 0.004695 | tf: 0.810157
[05.05.21|18:59:22] 	mean_loss: 0.9457259759257715. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:59:22] Time consumption:
[05.05.21|18:59:22] Done.
[05.05.21|18:59:22] Eval epoch: 63
[05.05.21|18:59:23] 	mean_loss: 0.9661016065624802. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|18:59:23] Done.
[05.05.21|18:59:23] Training epoch: 64
[05.05.21|19:00:42] 	Iter 10500 Done. | loss: 5.6522 | lr: 0.004690 | tf: 0.806107
[05.05.21|19:02:27] 	mean_loss: 0.9574553493648715. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:02:27] Time consumption:
[05.05.21|19:02:27] Done.
[05.05.21|19:02:27] Eval epoch: 64
[05.05.21|19:02:28] 	mean_loss: 0.9167732370868275. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:02:28] Done.
[05.05.21|19:02:28] Training epoch: 65
[05.05.21|19:02:35] 	Iter 10600 Done. | loss: 5.4128 | lr: 0.004685 | tf: 0.802076
[05.05.21|19:04:28] 	Iter 10700 Done. | loss: 5.8819 | lr: 0.004685 | tf: 0.802076
[05.05.21|19:05:34] 	mean_loss: 0.919631097890204. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:05:34] Time consumption:
[05.05.21|19:05:34] Done.
[05.05.21|19:05:34] Eval epoch: 65
[05.05.21|19:05:36] 	mean_loss: 0.9140336959657107. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:05:36] Done.
[05.05.21|19:05:36] Training epoch: 66
[05.05.21|19:06:25] 	Iter 10800 Done. | loss: 7.5082 | lr: 0.004680 | tf: 0.798066
[05.05.21|19:08:20] 	Iter 10900 Done. | loss: 7.3909 | lr: 0.004680 | tf: 0.798066
[05.05.21|19:08:45] 	mean_loss: 0.8795882154337318. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:08:45] Time consumption:
[05.05.21|19:08:45] Done.
[05.05.21|19:08:45] Eval epoch: 66
[05.05.21|19:08:46] 	mean_loss: 0.9585700465658976. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:08:46] Done.
[05.05.21|19:08:46] Training epoch: 67
[05.05.21|19:10:17] 	Iter 11000 Done. | loss: 5.4450 | lr: 0.004676 | tf: 0.794075
[05.05.21|19:11:52] 	mean_loss: 0.9487675656573665. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:11:52] Time consumption:
[05.05.21|19:11:52] Done.
[05.05.21|19:11:52] Eval epoch: 67
[05.05.21|19:11:54] 	mean_loss: 0.9415391454278318. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:11:54] Done.
[05.05.21|19:11:54] Training epoch: 68
[05.05.21|19:12:13] 	Iter 11100 Done. | loss: 5.5413 | lr: 0.004671 | tf: 0.790105
[05.05.21|19:14:09] 	Iter 11200 Done. | loss: 7.7233 | lr: 0.004671 | tf: 0.790105
[05.05.21|19:15:02] 	mean_loss: 0.9121001337658879. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:15:02] Time consumption:
[05.05.21|19:15:02] Done.
[05.05.21|19:15:02] Eval epoch: 68
[05.05.21|19:15:03] 	mean_loss: 0.9609952350619888. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:15:03] Done.
[05.05.21|19:15:03] Training epoch: 69
[05.05.21|19:16:07] 	Iter 11300 Done. | loss: 7.5182 | lr: 0.004666 | tf: 0.786154
[05.05.21|19:18:00] 	Iter 11400 Done. | loss: 8.4244 | lr: 0.004666 | tf: 0.786154
[05.05.21|19:18:09] 	mean_loss: 0.88790985262333. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:18:09] Time consumption:
[05.05.21|19:18:09] Done.
[05.05.21|19:18:09] Eval epoch: 69
[05.05.21|19:18:11] 	mean_loss: 1.0400364007115963. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:18:11] Done.
[05.05.21|19:18:11] Training epoch: 70
[05.05.21|19:19:54] 	Iter 11500 Done. | loss: 6.1885 | lr: 0.004662 | tf: 0.782224
[05.05.21|19:21:15] 	mean_loss: 0.9407540766902733. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:21:15] Time consumption:
[05.05.21|19:21:15] Done.
[05.05.21|19:21:15] Eval epoch: 70
[05.05.21|19:21:17] 	mean_loss: 1.067922535916089. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:21:17] Done.
[05.05.21|19:21:17] Training epoch: 71
[05.05.21|19:21:51] 	Iter 11600 Done. | loss: 7.3599 | lr: 0.004657 | tf: 0.778313
[05.05.21|19:23:46] 	Iter 11700 Done. | loss: 7.5778 | lr: 0.004657 | tf: 0.778313
[05.05.21|19:24:26] 	mean_loss: 0.8894403616573344. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:24:26] Time consumption:
[05.05.21|19:24:26] Done.
[05.05.21|19:24:26] Eval epoch: 71
[05.05.21|19:24:27] 	mean_loss: 1.0136161633794185. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:24:27] Done.
[05.05.21|19:24:27] Training epoch: 72
[05.05.21|19:25:50] 	Iter 11800 Done. | loss: 5.5872 | lr: 0.004652 | tf: 0.774421
[05.05.21|19:28:26] 	mean_loss: 0.9584148856615137. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:28:26] Time consumption:
[05.05.21|19:28:26] Done.
[05.05.21|19:28:26] Eval epoch: 72
[05.05.21|19:28:29] 	mean_loss: 1.009804345508472. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:28:29] Done.
[05.05.21|19:28:29] Training epoch: 73
[05.05.21|19:28:32] 	Iter 11900 Done. | loss: 5.5836 | lr: 0.004648 | tf: 0.770549
[05.05.21|19:31:18] 	Iter 12000 Done. | loss: 10.1495 | lr: 0.004648 | tf: 0.770549
[05.05.21|19:32:56] 	mean_loss: 0.935862163683226. Best so far: 0.850496145113669 (epoch: 46).
[05.05.21|19:32:56] Time consumption:
[05.05.21|19:32:56] Done.
[05.05.21|19:32:56] Eval epoch: 73
[05.05.21|19:32:58] 	mean_loss: 0.842014916324881. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:32:58] Done.
[05.05.21|19:32:58] Training epoch: 74
[05.05.21|19:34:04] 	Iter 12100 Done. | loss: 6.8242 | lr: 0.004643 | tf: 0.766696
[05.05.21|19:37:13] 	Iter 12200 Done. | loss: 7.1756 | lr: 0.004643 | tf: 0.766696
[05.05.21|19:37:53] 	mean_loss: 0.9290374273234295. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:37:53] Time consumption:
[05.05.21|19:37:53] Done.
[05.05.21|19:37:53] Eval epoch: 74
[05.05.21|19:37:57] 	mean_loss: 0.9235425563748489. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:37:57] Done.
[05.05.21|19:37:57] Training epoch: 75
[05.05.21|19:40:10] 	Iter 12300 Done. | loss: 10.3248 | lr: 0.004639 | tf: 0.762863
[05.05.21|19:42:39] 	mean_loss: 0.9673211865797714. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:42:39] Time consumption:
[05.05.21|19:42:39] Done.
[05.05.21|19:42:39] Eval epoch: 75
[05.05.21|19:42:43] 	mean_loss: 0.925866374198462. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:42:43] Done.
[05.05.21|19:42:43] Training epoch: 76
[05.05.21|19:43:04] 	Iter 12400 Done. | loss: 7.1155 | lr: 0.004634 | tf: 0.759048
[05.05.21|19:45:46] 	Iter 12500 Done. | loss: 3.9162 | lr: 0.004634 | tf: 0.759048
[05.05.21|19:47:12] 	mean_loss: 0.9354076014254348. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:47:12] Time consumption:
[05.05.21|19:47:12] Done.
[05.05.21|19:47:12] Eval epoch: 76
[05.05.21|19:47:15] 	mean_loss: 0.9995464206483958. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:47:15] Done.
[05.05.21|19:47:15] Training epoch: 77
[05.05.21|19:48:42] 	Iter 12600 Done. | loss: 3.9501 | lr: 0.004629 | tf: 0.755253
[05.05.21|19:51:32] 	Iter 12700 Done. | loss: 9.0433 | lr: 0.004629 | tf: 0.755253
[05.05.21|19:51:53] 	mean_loss: 0.9173170280233093. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:51:53] Time consumption:
[05.05.21|19:51:53] Done.
[05.05.21|19:51:53] Eval epoch: 77
[05.05.21|19:51:58] 	mean_loss: 0.9036334176184563. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:51:58] Done.
[05.05.21|19:51:58] Training epoch: 78
[05.05.21|19:54:22] 	Iter 12800 Done. | loss: 6.5195 | lr: 0.004625 | tf: 0.751477
[05.05.21|19:56:25] 	mean_loss: 0.8959563543897285. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:56:25] Time consumption:
[05.05.21|19:56:25] Done.
[05.05.21|19:56:25] Eval epoch: 78
[05.05.21|19:56:27] 	mean_loss: 0.880802063120536. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|19:56:27] Done.
[05.05.21|19:56:27] Training epoch: 79
[05.05.21|19:57:03] 	Iter 12900 Done. | loss: 4.5113 | lr: 0.004620 | tf: 0.747719
[05.05.21|19:59:43] 	Iter 13000 Done. | loss: 5.9448 | lr: 0.004620 | tf: 0.747719
[05.05.21|20:00:49] 	mean_loss: 0.9275858424649418. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:00:49] Time consumption:
[05.05.21|20:00:49] Done.
[05.05.21|20:00:49] Eval epoch: 79
[05.05.21|20:00:53] 	mean_loss: 1.0389262905746355. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:00:53] Done.
[05.05.21|20:00:53] Training epoch: 80
[05.05.21|20:02:34] 	Iter 13100 Done. | loss: 5.7499 | lr: 0.004615 | tf: 0.743981
[05.05.21|20:05:11] 	Iter 13200 Done. | loss: 3.1210 | lr: 0.004615 | tf: 0.743981
[05.05.21|20:05:14] 	mean_loss: 0.9292913522682367. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:05:14] Time consumption:
[05.05.21|20:05:14] Done.
[05.05.21|20:05:14] Eval epoch: 80
[05.05.21|20:05:19] 	mean_loss: 0.9886969210865658. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:05:19] Done.
[05.05.21|20:05:19] Training epoch: 81
[05.05.21|20:07:55] 	Iter 13300 Done. | loss: 7.2471 | lr: 0.004611 | tf: 0.740261
[05.05.21|20:09:52] 	mean_loss: 0.9031063227124457. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:09:52] Time consumption:
[05.05.21|20:09:52] Done.
[05.05.21|20:09:52] Eval epoch: 81
[05.05.21|20:09:57] 	mean_loss: 1.0291588135113618. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:09:57] Done.
[05.05.21|20:09:57] Training epoch: 82
[05.05.21|20:10:56] 	Iter 13400 Done. | loss: 14.8670 | lr: 0.004606 | tf: 0.736560
[05.05.21|20:13:35] 	Iter 13500 Done. | loss: 7.3862 | lr: 0.004606 | tf: 0.736560
[05.05.21|20:14:20] 	mean_loss: 0.9230294726654955. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:14:20] Time consumption:
[05.05.21|20:14:20] Done.
[05.05.21|20:14:20] Eval epoch: 82
[05.05.21|20:14:23] 	mean_loss: 0.8975523261699029. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:14:23] Done.
[05.05.21|20:14:23] Training epoch: 83
[05.05.21|20:16:22] 	Iter 13600 Done. | loss: 3.5367 | lr: 0.004602 | tf: 0.732877
[05.05.21|20:19:03] 	mean_loss: 0.9546200141242117. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:19:03] Time consumption:
[05.05.21|20:19:03] Done.
[05.05.21|20:19:03] Eval epoch: 83
[05.05.21|20:19:08] 	mean_loss: 0.9498146189290335. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:19:08] Done.
[05.05.21|20:19:08] Training epoch: 84
[05.05.21|20:19:28] 	Iter 13700 Done. | loss: 3.2066 | lr: 0.004597 | tf: 0.729212
[05.05.21|20:22:22] 	Iter 13800 Done. | loss: 5.6153 | lr: 0.004597 | tf: 0.729212
[05.05.21|20:24:00] 	mean_loss: 0.8924727007463615. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:24:00] Time consumption:
[05.05.21|20:24:00] Done.
[05.05.21|20:24:00] Eval epoch: 84
[05.05.21|20:24:05] 	mean_loss: 0.8551002914669017. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:24:05] Done.
[05.05.21|20:24:05] Training epoch: 85
[05.05.21|20:25:22] 	Iter 13900 Done. | loss: 9.1116 | lr: 0.004592 | tf: 0.725566
[05.05.21|20:28:07] 	Iter 14000 Done. | loss: 7.4592 | lr: 0.004592 | tf: 0.725566
[05.05.21|20:28:34] 	mean_loss: 0.9171415306412678. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:28:34] Time consumption:
[05.05.21|20:28:34] Done.
[05.05.21|20:28:34] Eval epoch: 85
[05.05.21|20:28:39] 	mean_loss: 0.9296553452800363. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:28:39] Done.
[05.05.21|20:28:39] Training epoch: 86
[05.05.21|20:31:10] 	Iter 14100 Done. | loss: 9.0527 | lr: 0.004588 | tf: 0.721939
[05.05.21|20:33:24] 	mean_loss: 0.8899922294942575. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:33:24] Time consumption:
[05.05.21|20:33:24] Done.
[05.05.21|20:33:24] Eval epoch: 86
[05.05.21|20:33:28] 	mean_loss: 0.879007633356186. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:33:28] Done.
[05.05.21|20:33:28] Training epoch: 87
[05.05.21|20:33:59] 	Iter 14200 Done. | loss: 8.8563 | lr: 0.004583 | tf: 0.718329
[05.05.21|20:36:36] 	Iter 14300 Done. | loss: 6.4291 | lr: 0.004583 | tf: 0.718329
[05.05.21|20:37:46] 	mean_loss: 0.940099566460501. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:37:46] Time consumption:
[05.05.21|20:37:46] Done.
[05.05.21|20:37:46] Eval epoch: 87
[05.05.21|20:37:49] 	mean_loss: 0.9766327016595092. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:37:49] Done.
[05.05.21|20:37:49] Training epoch: 88
[05.05.21|20:39:20] 	Iter 14400 Done. | loss: 6.5350 | lr: 0.004579 | tf: 0.714737
[05.05.21|20:42:18] 	Iter 14500 Done. | loss: 6.0550 | lr: 0.004579 | tf: 0.714737
[05.05.21|20:42:29] 	mean_loss: 0.91420174526452. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:42:29] Time consumption:
[05.05.21|20:42:29] Done.
[05.05.21|20:42:29] Eval epoch: 88
[05.05.21|20:42:32] 	mean_loss: 0.8807187113875227. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:42:32] Done.
[05.05.21|20:42:32] Training epoch: 89
[05.05.21|20:45:16] 	Iter 14600 Done. | loss: 10.1568 | lr: 0.004574 | tf: 0.711164
[05.05.21|20:47:24] 	mean_loss: 0.9196399505206571. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:47:24] Time consumption:
[05.05.21|20:47:24] Done.
[05.05.21|20:47:24] Eval epoch: 89
[05.05.21|20:47:28] 	mean_loss: 0.8889645781512945. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:47:28] Done.
[05.05.21|20:47:28] Training epoch: 90
[05.05.21|20:48:18] 	Iter 14700 Done. | loss: 7.2021 | lr: 0.004569 | tf: 0.707608
[05.05.21|20:51:02] 	Iter 14800 Done. | loss: 6.2095 | lr: 0.004569 | tf: 0.707608
[05.05.21|20:51:51] 	mean_loss: 0.9199919955612692. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:51:51] Time consumption:
[05.05.21|20:51:51] Done.
[05.05.21|20:51:51] Eval epoch: 90
[05.05.21|20:51:54] 	mean_loss: 0.9221746228245491. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:51:54] Done.
[05.05.21|20:51:55] Training epoch: 91
[05.05.21|20:53:47] 	Iter 14900 Done. | loss: 9.0146 | lr: 0.004565 | tf: 0.704070
[05.05.21|20:56:42] 	mean_loss: 0.8986750216106661. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:56:42] Time consumption:
[05.05.21|20:56:42] Done.
[05.05.21|20:56:42] Eval epoch: 91
[05.05.21|20:56:46] 	mean_loss: 0.9618535239955792. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|20:56:46] Done.
[05.05.21|20:56:46] Training epoch: 92
[05.05.21|20:56:54] 	Iter 15000 Done. | loss: 6.9505 | lr: 0.004560 | tf: 0.700549
[05.05.21|20:59:42] 	Iter 15100 Done. | loss: 6.8931 | lr: 0.004560 | tf: 0.700549
[05.05.21|21:01:18] 	mean_loss: 0.9339252504529526. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:01:18] Time consumption:
[05.05.21|21:01:18] Done.
[05.05.21|21:01:18] Eval epoch: 92
[05.05.21|21:01:21] 	mean_loss: 0.9476242775566522. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:01:21] Done.
[05.05.21|21:01:21] Training epoch: 93
[05.05.21|21:02:29] 	Iter 15200 Done. | loss: 10.1350 | lr: 0.004556 | tf: 0.697047
[05.05.21|21:05:28] 	Iter 15300 Done. | loss: 6.0234 | lr: 0.004556 | tf: 0.697047
[05.05.21|21:06:00] 	mean_loss: 0.9461501276207531. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:06:00] Time consumption:
[05.05.21|21:06:00] Done.
[05.05.21|21:06:00] Eval epoch: 93
[05.05.21|21:06:02] 	mean_loss: 0.9328922138015918. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:06:02] Done.
[05.05.21|21:06:02] Training epoch: 94
[05.05.21|21:08:02] 	Iter 15400 Done. | loss: 8.5520 | lr: 0.004551 | tf: 0.693561
[05.05.21|21:10:18] 	mean_loss: 0.9129436290808548. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:10:18] Time consumption:
[05.05.21|21:10:18] Done.
[05.05.21|21:10:18] Eval epoch: 94
[05.05.21|21:10:22] 	mean_loss: 0.9876927738549215. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:10:22] Done.
[05.05.21|21:10:22] Training epoch: 95
[05.05.21|21:10:50] 	Iter 15500 Done. | loss: 7.1957 | lr: 0.004547 | tf: 0.690094
[05.05.21|21:13:30] 	Iter 15600 Done. | loss: 10.6545 | lr: 0.004547 | tf: 0.690094
[05.05.21|21:14:45] 	mean_loss: 0.9170506921344955. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:14:45] Time consumption:
[05.05.21|21:14:45] Done.
[05.05.21|21:14:45] Eval epoch: 95
[05.05.21|21:14:47] 	mean_loss: 0.9584696726355347. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:14:47] Done.
[05.05.21|21:14:47] Training epoch: 96
[05.05.21|21:16:26] 	Iter 15700 Done. | loss: 16.0872 | lr: 0.004542 | tf: 0.686643
[05.05.21|21:19:25] 	Iter 15800 Done. | loss: 7.1939 | lr: 0.004542 | tf: 0.686643
[05.05.21|21:19:42] 	mean_loss: 0.9313201955781785. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:19:42] Time consumption:
[05.05.21|21:19:42] Done.
[05.05.21|21:19:42] Eval epoch: 96
[05.05.21|21:19:46] 	mean_loss: 0.9344162747292457. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:19:46] Done.
[05.05.21|21:19:46] Training epoch: 97
[05.05.21|21:22:20] 	Iter 15900 Done. | loss: 3.9696 | lr: 0.004538 | tf: 0.683210
[05.05.21|21:24:18] 	mean_loss: 0.9217537169146114. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:24:18] Time consumption:
[05.05.21|21:24:18] Done.
[05.05.21|21:24:18] Eval epoch: 97
[05.05.21|21:24:21] 	mean_loss: 1.0101557895561284. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:24:21] Done.
[05.05.21|21:24:21] Training epoch: 98
[05.05.21|21:25:05] 	Iter 16000 Done. | loss: 9.0708 | lr: 0.004533 | tf: 0.679794
[05.05.21|21:27:44] 	Iter 16100 Done. | loss: 7.4393 | lr: 0.004533 | tf: 0.679794
[05.05.21|21:28:40] 	mean_loss: 0.9224819109707038. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:28:40] Time consumption:
[05.05.21|21:28:40] Done.
[05.05.21|21:28:40] Eval epoch: 98
[05.05.21|21:28:43] 	mean_loss: 0.9826626636233702. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:28:43] Done.
[05.05.21|21:28:43] Training epoch: 99
[05.05.21|21:30:03] 	Iter 16200 Done. | loss: 8.9141 | lr: 0.004528 | tf: 0.676395
[05.05.21|21:31:56] 	mean_loss: 0.9399222154804537. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:31:56] Time consumption:
[05.05.21|21:31:56] Done.
[05.05.21|21:31:56] Eval epoch: 99
[05.05.21|21:31:57] 	mean_loss: 1.0296153008140818. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:31:57] Done.
[05.05.21|21:31:57] Training epoch: 100
[05.05.21|21:31:58] 	Iter 16300 Done. | loss: 9.7666 | lr: 0.004524 | tf: 0.673013
[05.05.21|21:33:46] 	Iter 16400 Done. | loss: 5.3712 | lr: 0.004524 | tf: 0.673013
[05.05.21|21:34:53] 	mean_loss: 0.946274549654168. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:34:53] Time consumption:
[05.05.21|21:34:53] Done.
[05.05.21|21:34:53] Eval epoch: 100
[05.05.21|21:34:54] 	mean_loss: 1.0735500278019923. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:34:54] Done.
[05.05.21|21:34:54] Training epoch: 101
[05.05.21|21:35:36] 	Iter 16500 Done. | loss: 7.3116 | lr: 0.004519 | tf: 0.669648
[05.05.21|21:37:24] 	Iter 16600 Done. | loss: 6.4334 | lr: 0.004519 | tf: 0.669648
[05.05.21|21:37:52] 	mean_loss: 0.9483571667450647. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:37:52] Time consumption:
[05.05.21|21:37:52] Done.
[05.05.21|21:37:52] Eval epoch: 101
[05.05.21|21:37:53] 	mean_loss: 0.971888992457149. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:37:53] Done.
[05.05.21|21:37:53] Training epoch: 102
[05.05.21|21:39:15] 	Iter 16700 Done. | loss: 7.0946 | lr: 0.004515 | tf: 0.666300
[05.05.21|21:40:49] 	mean_loss: 0.926541843176857. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:40:49] Time consumption:
[05.05.21|21:40:49] Done.
[05.05.21|21:40:49] Eval epoch: 102
[05.05.21|21:40:50] 	mean_loss: 0.9960569444757993. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:40:50] Done.
[05.05.21|21:40:50] Training epoch: 103
[05.05.21|21:41:04] 	Iter 16800 Done. | loss: 7.2252 | lr: 0.004510 | tf: 0.662968
[05.05.21|21:42:49] 	Iter 16900 Done. | loss: 6.8651 | lr: 0.004510 | tf: 0.662968
[05.05.21|21:43:56] 	mean_loss: 0.9439184582232041. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:43:56] Time consumption:
[05.05.21|21:43:56] Done.
[05.05.21|21:43:56] Eval epoch: 103
[05.05.21|21:43:58] 	mean_loss: 0.9412713580747198. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:43:58] Done.
[05.05.21|21:43:58] Training epoch: 104
[05.05.21|21:45:00] 	Iter 17000 Done. | loss: 6.7521 | lr: 0.004506 | tf: 0.659653
[05.05.21|21:47:28] 	Iter 17100 Done. | loss: 8.6515 | lr: 0.004506 | tf: 0.659653
[05.05.21|21:47:51] 	mean_loss: 0.9649259709514396. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:47:51] Time consumption:
[05.05.21|21:47:51] Done.
[05.05.21|21:47:51] Eval epoch: 104
[05.05.21|21:47:55] 	mean_loss: 0.94509845924787. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:47:55] Done.
[05.05.21|21:47:55] Training epoch: 105
[05.05.21|21:50:22] 	Iter 17200 Done. | loss: 7.1285 | lr: 0.004501 | tf: 0.656355
[05.05.21|21:52:35] 	mean_loss: 0.9340570070481289. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:52:35] Time consumption:
[05.05.21|21:52:35] Done.
[05.05.21|21:52:35] Eval epoch: 105
[05.05.21|21:52:40] 	mean_loss: 0.9536648547745271. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:52:40] Done.
[05.05.21|21:52:40] Training epoch: 106
[05.05.21|21:53:17] 	Iter 17300 Done. | loss: 6.7186 | lr: 0.004497 | tf: 0.653073
[05.05.21|21:55:32] 	Iter 17400 Done. | loss: 9.0308 | lr: 0.004497 | tf: 0.653073
[05.05.21|21:56:27] 	mean_loss: 0.9339718927856128. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:56:27] Time consumption:
[05.05.21|21:56:27] Done.
[05.05.21|21:56:27] Eval epoch: 106
[05.05.21|21:56:28] 	mean_loss: 1.0332821942579622. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:56:28] Done.
[05.05.21|21:56:28] Training epoch: 107
[05.05.21|21:57:43] 	Iter 17500 Done. | loss: 7.9256 | lr: 0.004492 | tf: 0.649808
[05.05.21|21:59:49] 	Iter 17600 Done. | loss: 2.5698 | lr: 0.004492 | tf: 0.649808
[05.05.21|21:59:53] 	mean_loss: 0.956248025078868. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:59:53] Time consumption:
[05.05.21|21:59:53] Done.
[05.05.21|21:59:53] Eval epoch: 107
[05.05.21|21:59:55] 	mean_loss: 0.9018498844536814. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|21:59:55] Done.
[05.05.21|21:59:55] Training epoch: 108
[05.05.21|22:01:57] 	Iter 17700 Done. | loss: 5.5127 | lr: 0.004488 | tf: 0.646559
[05.05.21|22:03:23] 	mean_loss: 0.9280422068792448. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:03:23] Time consumption:
[05.05.21|22:03:23] Done.
[05.05.21|22:03:23] Eval epoch: 108
[05.05.21|22:03:25] 	mean_loss: 0.9973007611886325. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:03:25] Done.
[05.05.21|22:03:25] Training epoch: 109
[05.05.21|22:04:08] 	Iter 17800 Done. | loss: 8.9154 | lr: 0.004483 | tf: 0.643326
[05.05.21|22:06:15] 	Iter 17900 Done. | loss: 7.0169 | lr: 0.004483 | tf: 0.643326
[05.05.21|22:06:53] 	mean_loss: 0.9132342545449297. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:06:53] Time consumption:
[05.05.21|22:06:53] Done.
[05.05.21|22:06:53] Eval epoch: 109
[05.05.21|22:06:55] 	mean_loss: 0.9711742337167303. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:06:55] Done.
[05.05.21|22:06:55] Training epoch: 110
[05.05.21|22:08:25] 	Iter 18000 Done. | loss: 9.0405 | lr: 0.004479 | tf: 0.640109
[05.05.21|22:10:24] 	mean_loss: 0.9239253422906509. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:10:24] Time consumption:
[05.05.21|22:10:24] Done.
[05.05.21|22:10:24] Eval epoch: 110
[05.05.21|22:10:25] 	mean_loss: 0.9451438419580795. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:10:25] Done.
[05.05.21|22:10:25] Training epoch: 111
[05.05.21|22:10:36] 	Iter 18100 Done. | loss: 6.7343 | lr: 0.004474 | tf: 0.636909
[05.05.21|22:12:43] 	Iter 18200 Done. | loss: 10.4491 | lr: 0.004474 | tf: 0.636909
[05.05.21|22:13:54] 	mean_loss: 0.9000105073347108. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:13:54] Time consumption:
[05.05.21|22:13:54] Done.
[05.05.21|22:13:54] Eval epoch: 111
[05.05.21|22:13:56] 	mean_loss: 0.8831195356010135. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:13:56] Done.
[05.05.21|22:13:56] Training epoch: 112
[05.05.21|22:14:52] 	Iter 18300 Done. | loss: 9.0322 | lr: 0.004470 | tf: 0.633724
[05.05.21|22:17:00] 	Iter 18400 Done. | loss: 6.0454 | lr: 0.004470 | tf: 0.633724
[05.05.21|22:17:24] 	mean_loss: 0.9226655455206617. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:17:24] Time consumption:
[05.05.21|22:17:24] Done.
[05.05.21|22:17:24] Eval epoch: 112
[05.05.21|22:17:26] 	mean_loss: 0.9719816938919066. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:17:26] Done.
[05.05.21|22:17:26] Training epoch: 113
[05.05.21|22:19:08] 	Iter 18500 Done. | loss: 5.7237 | lr: 0.004466 | tf: 0.630556
[05.05.21|22:20:49] 	mean_loss: 0.9101530297573748. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:20:49] Time consumption:
[05.05.21|22:20:49] Done.
[05.05.21|22:20:49] Eval epoch: 113
[05.05.21|22:20:50] 	mean_loss: 0.950383708830952. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:20:50] Done.
[05.05.21|22:20:50] Training epoch: 114
[05.05.21|22:21:21] 	Iter 18600 Done. | loss: 10.1819 | lr: 0.004461 | tf: 0.627403
[05.05.21|22:23:58] 	Iter 18700 Done. | loss: 7.3736 | lr: 0.004461 | tf: 0.627403
[05.05.21|22:25:10] 	mean_loss: 0.9392984489216646. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:25:10] Time consumption:
[05.05.21|22:25:10] Done.
[05.05.21|22:25:10] Eval epoch: 114
[05.05.21|22:25:14] 	mean_loss: 0.8968989908535598. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:25:14] Done.
[05.05.21|22:25:14] Training epoch: 115
[05.05.21|22:26:44] 	Iter 18800 Done. | loss: 7.7848 | lr: 0.004457 | tf: 0.624266
[05.05.21|22:29:31] 	Iter 18900 Done. | loss: 7.5440 | lr: 0.004457 | tf: 0.624266
[05.05.21|22:29:42] 	mean_loss: 0.8880089284359884. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:29:42] Time consumption:
[05.05.21|22:29:42] Done.
[05.05.21|22:29:42] Eval epoch: 115
[05.05.21|22:29:45] 	mean_loss: 0.9146114644788066. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:29:45] Done.
[05.05.21|22:29:45] Training epoch: 116
[05.05.21|22:32:19] 	Iter 19000 Done. | loss: 7.1614 | lr: 0.004452 | tf: 0.621145
[05.05.21|22:34:10] 	mean_loss: 0.9485256615645481. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:34:10] Time consumption:
[05.05.21|22:34:10] Done.
[05.05.21|22:34:10] Eval epoch: 116
[05.05.21|22:34:14] 	mean_loss: 0.9597631321244247. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:34:14] Done.
[05.05.21|22:34:14] Training epoch: 117
[05.05.21|22:35:05] 	Iter 19100 Done. | loss: 6.5006 | lr: 0.004448 | tf: 0.618039
[05.05.21|22:37:47] 	Iter 19200 Done. | loss: 9.3003 | lr: 0.004448 | tf: 0.618039
[05.05.21|22:38:43] 	mean_loss: 0.9237451865450312. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:38:43] Time consumption:
[05.05.21|22:38:43] Done.
[05.05.21|22:38:43] Eval epoch: 117
[05.05.21|22:38:47] 	mean_loss: 0.9693015344778386. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:38:47] Done.
[05.05.21|22:38:47] Training epoch: 118
[05.05.21|22:40:36] 	Iter 19300 Done. | loss: 9.0108 | lr: 0.004443 | tf: 0.614949
[05.05.21|22:43:12] 	mean_loss: 0.9530052698085937. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:43:12] Time consumption:
[05.05.21|22:43:12] Done.
[05.05.21|22:43:12] Eval epoch: 118
[05.05.21|22:43:16] 	mean_loss: 0.9860311666858808. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:43:16] Done.
[05.05.21|22:43:16] Training epoch: 119
[05.05.21|22:43:22] 	Iter 19400 Done. | loss: 5.8897 | lr: 0.004439 | tf: 0.611874
[05.05.21|22:46:04] 	Iter 19500 Done. | loss: 7.1708 | lr: 0.004439 | tf: 0.611874
[05.05.21|22:47:49] 	mean_loss: 0.8996641792773303. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:47:49] Time consumption:
[05.05.21|22:47:49] Done.
[05.05.21|22:47:49] Eval epoch: 119
[05.05.21|22:47:53] 	mean_loss: 0.9754233712271949. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:47:53] Done.
[05.05.21|22:47:53] Training epoch: 120
[05.05.21|22:49:10] 	Iter 19600 Done. | loss: 6.4132 | lr: 0.004434 | tf: 0.608815
[05.05.21|22:52:01] 	Iter 19700 Done. | loss: 7.3073 | lr: 0.004434 | tf: 0.608815
[05.05.21|22:52:38] 	mean_loss: 0.9219337743024572. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:52:38] Time consumption:
[05.05.21|22:52:38] Done.
[05.05.21|22:52:38] Eval epoch: 120
[05.05.21|22:52:42] 	mean_loss: 0.9115458371623532. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:52:42] Done.
[05.05.21|22:52:42] Training epoch: 121
[05.05.21|22:54:35] 	Iter 19800 Done. | loss: 7.9812 | lr: 0.004430 | tf: 0.605770
[05.05.21|22:57:05] 	mean_loss: 0.9291548986821142. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:57:05] Time consumption:
[05.05.21|22:57:05] Done.
[05.05.21|22:57:05] Eval epoch: 121
[05.05.21|22:57:10] 	mean_loss: 0.946343949186662. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|22:57:10] Done.
[05.05.21|22:57:10] Training epoch: 122
[05.05.21|22:57:37] 	Iter 19900 Done. | loss: 6.6234 | lr: 0.004425 | tf: 0.602742
[05.05.21|23:00:37] 	Iter 20000 Done. | loss: 7.3504 | lr: 0.004425 | tf: 0.602742
[05.05.21|23:01:58] 	mean_loss: 0.93058555716992. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:01:58] Time consumption:
[05.05.21|23:01:58] Done.
[05.05.21|23:01:58] Eval epoch: 122
[05.05.21|23:02:02] 	mean_loss: 1.094528592034444. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:02:02] Done.
[05.05.21|23:02:02] Training epoch: 123
[05.05.21|23:03:33] 	Iter 20100 Done. | loss: 3.6030 | lr: 0.004421 | tf: 0.599728
[05.05.21|23:06:33] 	Iter 20200 Done. | loss: 10.3172 | lr: 0.004421 | tf: 0.599728
[05.05.21|23:06:53] 	mean_loss: 0.9285215437753463. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:06:53] Time consumption:
[05.05.21|23:06:53] Done.
[05.05.21|23:06:53] Eval epoch: 123
[05.05.21|23:06:57] 	mean_loss: 0.9362532263348842. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:06:57] Done.
[05.05.21|23:06:57] Training epoch: 124
[05.05.21|23:09:29] 	Iter 20300 Done. | loss: 7.0671 | lr: 0.004417 | tf: 0.596729
[05.05.21|23:11:44] 	mean_loss: 0.9334245135471804. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:11:44] Time consumption:
[05.05.21|23:11:44] Done.
[05.05.21|23:11:44] Eval epoch: 124
[05.05.21|23:11:48] 	mean_loss: 1.0478467389589177. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:11:48] Done.
[05.05.21|23:11:48] Training epoch: 125
[05.05.21|23:12:40] 	Iter 20400 Done. | loss: 10.1797 | lr: 0.004412 | tf: 0.593746
[05.05.21|23:15:26] 	Iter 20500 Done. | loss: 7.3695 | lr: 0.004412 | tf: 0.593746
[05.05.21|23:16:30] 	mean_loss: 0.9413153448406469. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:16:30] Time consumption:
[05.05.21|23:16:30] Done.
[05.05.21|23:16:30] Eval epoch: 125
[05.05.21|23:16:33] 	mean_loss: 0.9488622199924391. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:16:33] Done.
[05.05.21|23:16:33] Training epoch: 126
[05.05.21|23:18:26] 	Iter 20600 Done. | loss: 7.4484 | lr: 0.004408 | tf: 0.590777
[05.05.21|23:21:22] 	Iter 20700 Done. | loss: 10.5841 | lr: 0.004408 | tf: 0.590777
[05.05.21|23:21:22] 	mean_loss: 0.9140894795422766. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:21:22] Time consumption:
[05.05.21|23:21:22] Done.
[05.05.21|23:21:22] Eval epoch: 126
[05.05.21|23:21:25] 	mean_loss: 0.9800369842804427. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:21:25] Done.
[05.05.21|23:21:25] Training epoch: 127
[05.05.21|23:24:21] 	Iter 20800 Done. | loss: 9.2872 | lr: 0.004403 | tf: 0.587823
[05.05.21|23:26:05] 	mean_loss: 0.9514007945896129. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:26:05] Time consumption:
[05.05.21|23:26:05] Done.
[05.05.21|23:26:05] Eval epoch: 127
[05.05.21|23:26:07] 	mean_loss: 1.0098439490056557. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:26:07] Done.
[05.05.21|23:26:07] Training epoch: 128
[05.05.21|23:27:03] 	Iter 20900 Done. | loss: 6.8868 | lr: 0.004399 | tf: 0.584884
[05.05.21|23:29:53] 	Iter 21000 Done. | loss: 5.9350 | lr: 0.004399 | tf: 0.584884
[05.05.21|23:30:42] 	mean_loss: 0.9407397009169584. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:30:42] Time consumption:
[05.05.21|23:30:42] Done.
[05.05.21|23:30:42] Eval epoch: 128
[05.05.21|23:30:47] 	mean_loss: 0.9915116195039968. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:30:47] Done.
[05.05.21|23:30:47] Training epoch: 129
[05.05.21|23:32:47] 	Iter 21100 Done. | loss: 8.5240 | lr: 0.004395 | tf: 0.581959
[05.05.21|23:35:20] 	mean_loss: 0.949338824446906. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:35:20] Time consumption:
[05.05.21|23:35:20] Done.
[05.05.21|23:35:20] Eval epoch: 129
[05.05.21|23:35:25] 	mean_loss: 1.0367326995678232. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:35:25] Done.
[05.05.21|23:35:25] Training epoch: 130
[05.05.21|23:35:45] 	Iter 21200 Done. | loss: 7.2991 | lr: 0.004390 | tf: 0.579050
[05.05.21|23:38:24] 	Iter 21300 Done. | loss: 6.1950 | lr: 0.004390 | tf: 0.579050
[05.05.21|23:39:49] 	mean_loss: 0.9705705982113466. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:39:49] Time consumption:
[05.05.21|23:39:49] Done.
[05.05.21|23:39:49] Eval epoch: 130
[05.05.21|23:39:53] 	mean_loss: 0.8945480279594. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:39:53] Done.
[05.05.21|23:39:53] Training epoch: 131
[05.05.21|23:41:11] 	Iter 21400 Done. | loss: 10.7260 | lr: 0.004386 | tf: 0.576154
[05.05.21|23:44:04] 	Iter 21500 Done. | loss: 8.8137 | lr: 0.004386 | tf: 0.576154
[05.05.21|23:44:28] 	mean_loss: 0.8847497558519171. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:44:28] Time consumption:
[05.05.21|23:44:28] Done.
[05.05.21|23:44:28] Eval epoch: 131
[05.05.21|23:44:32] 	mean_loss: 1.0192095711548455. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:44:32] Done.
[05.05.21|23:44:32] Training epoch: 132
[05.05.21|23:46:43] 	Iter 21600 Done. | loss: 7.3982 | lr: 0.004381 | tf: 0.573274
[05.05.21|23:49:00] 	mean_loss: 0.8926382811008553. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:49:00] Time consumption:
[05.05.21|23:49:00] Done.
[05.05.21|23:49:00] Eval epoch: 132
[05.05.21|23:49:05] 	mean_loss: 0.9964066405960877. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:49:05] Done.
[05.05.21|23:49:05] Training epoch: 133
[05.05.21|23:49:44] 	Iter 21700 Done. | loss: 11.3183 | lr: 0.004377 | tf: 0.570407
[05.05.21|23:52:29] 	Iter 21800 Done. | loss: 10.5491 | lr: 0.004377 | tf: 0.570407
[05.05.21|23:53:34] 	mean_loss: 0.9011695404636264. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:53:34] Time consumption:
[05.05.21|23:53:34] Done.
[05.05.21|23:53:34] Eval epoch: 133
[05.05.21|23:53:36] 	mean_loss: 1.0515088421183705. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:53:36] Done.
[05.05.21|23:53:36] Training epoch: 134
[05.05.21|23:55:02] 	Iter 21900 Done. | loss: 10.4874 | lr: 0.004373 | tf: 0.567555
[05.05.21|23:57:40] 	Iter 22000 Done. | loss: 7.0222 | lr: 0.004373 | tf: 0.567555
[05.05.21|23:57:47] 	mean_loss: 0.9167002043440975. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:57:47] Time consumption:
[05.05.21|23:57:47] Done.
[05.05.21|23:57:47] Eval epoch: 134
[05.05.21|23:57:51] 	mean_loss: 0.987318660425063. Best so far: 0.842014916324881 (epoch: 73).
[05.05.21|23:57:51] Done.
[05.05.21|23:57:51] Training epoch: 135
[05.06.21|00:00:26] 	Iter 22100 Done. | loss: 10.2925 | lr: 0.004368 | tf: 0.564717
[05.06.21|00:02:11] 	mean_loss: 0.9095672635730294. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:02:11] Time consumption:
[05.06.21|00:02:11] Done.
[05.06.21|00:02:11] Eval epoch: 135
[05.06.21|00:02:15] 	mean_loss: 0.9728526609876018. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:02:15] Done.
[05.06.21|00:02:15] Training epoch: 136
[05.06.21|00:03:03] 	Iter 22200 Done. | loss: 7.3796 | lr: 0.004364 | tf: 0.561894
[05.06.21|00:05:31] 	Iter 22300 Done. | loss: 7.4571 | lr: 0.004364 | tf: 0.561894
[05.06.21|00:06:18] 	mean_loss: 0.9140534721629655. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:06:18] Time consumption:
[05.06.21|00:06:18] Done.
[05.06.21|00:06:18] Eval epoch: 136
[05.06.21|00:06:22] 	mean_loss: 0.9025413960777967. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:06:22] Done.
[05.06.21|00:06:22] Training epoch: 137
[05.06.21|00:08:22] 	Iter 22400 Done. | loss: 7.3843 | lr: 0.004360 | tf: 0.559084
[05.06.21|00:11:00] 	mean_loss: 0.9227224473743375. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:11:00] Time consumption:
[05.06.21|00:11:00] Done.
[05.06.21|00:11:00] Eval epoch: 137
[05.06.21|00:11:04] 	mean_loss: 0.909925518830287. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:11:04] Done.
[05.06.21|00:11:04] Training epoch: 138
[05.06.21|00:11:15] 	Iter 22500 Done. | loss: 10.5150 | lr: 0.004355 | tf: 0.556289
[05.06.21|00:13:52] 	Iter 22600 Done. | loss: 6.3229 | lr: 0.004355 | tf: 0.556289
[05.06.21|00:15:19] 	mean_loss: 0.9387023645304438. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:15:19] Time consumption:
[05.06.21|00:15:19] Done.
[05.06.21|00:15:19] Eval epoch: 138
[05.06.21|00:15:24] 	mean_loss: 0.9793623772722289. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:15:24] Done.
[05.06.21|00:15:24] Training epoch: 139
[05.06.21|00:16:33] 	Iter 22700 Done. | loss: 5.8209 | lr: 0.004351 | tf: 0.553508
[05.06.21|00:19:16] 	Iter 22800 Done. | loss: 7.5474 | lr: 0.004351 | tf: 0.553508
[05.06.21|00:19:48] 	mean_loss: 0.9086606412083664. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:19:48] Time consumption:
[05.06.21|00:19:48] Done.
[05.06.21|00:19:48] Eval epoch: 139
[05.06.21|00:19:52] 	mean_loss: 0.9624887496620502. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:19:52] Done.
[05.06.21|00:19:52] Training epoch: 140
[05.06.21|00:22:05] 	Iter 22900 Done. | loss: 7.1534 | lr: 0.004346 | tf: 0.550740
[05.06.21|00:24:16] 	mean_loss: 0.8878008719232369. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:24:16] Time consumption:
[05.06.21|00:24:16] Done.
[05.06.21|00:24:16] Eval epoch: 140
[05.06.21|00:24:17] 	mean_loss: 1.1166119395589396. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:24:17] Done.
[05.06.21|00:24:17] Training epoch: 141
[05.06.21|00:24:44] 	Iter 23000 Done. | loss: 10.2998 | lr: 0.004342 | tf: 0.547986
[05.06.21|00:27:18] 	Iter 23100 Done. | loss: 7.6539 | lr: 0.004342 | tf: 0.547986
[05.06.21|00:28:34] 	mean_loss: 0.9268871511633074. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:28:34] Time consumption:
[05.06.21|00:28:34] Done.
[05.06.21|00:28:34] Eval epoch: 141
[05.06.21|00:28:38] 	mean_loss: 0.9787870269766481. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:28:38] Done.
[05.06.21|00:28:38] Training epoch: 142
[05.06.21|00:30:05] 	Iter 23200 Done. | loss: 8.7325 | lr: 0.004338 | tf: 0.545246
[05.06.21|00:32:46] 	Iter 23300 Done. | loss: 7.3415 | lr: 0.004338 | tf: 0.545246
[05.06.21|00:33:01] 	mean_loss: 0.9182644052119749. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:33:01] Time consumption:
[05.06.21|00:33:01] Done.
[05.06.21|00:33:01] Eval epoch: 142
[05.06.21|00:33:05] 	mean_loss: 0.9464091202677941. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:33:05] Done.
[05.06.21|00:33:05] Training epoch: 143
[05.06.21|00:35:32] 	Iter 23400 Done. | loss: 9.2907 | lr: 0.004333 | tf: 0.542520
[05.06.21|00:37:24] 	mean_loss: 0.8935450565742722. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:37:24] Time consumption:
[05.06.21|00:37:24] Done.
[05.06.21|00:37:24] Eval epoch: 143
[05.06.21|00:37:27] 	mean_loss: 0.9442543319906275. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:37:27] Done.
[05.06.21|00:37:27] Training epoch: 144
[05.06.21|00:38:13] 	Iter 23500 Done. | loss: 8.7177 | lr: 0.004329 | tf: 0.539808
[05.06.21|00:40:56] 	Iter 23600 Done. | loss: 5.4607 | lr: 0.004329 | tf: 0.539808
[05.06.21|00:41:53] 	mean_loss: 0.9567451152482084. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:41:53] Time consumption:
[05.06.21|00:41:53] Done.
[05.06.21|00:41:53] Eval epoch: 144
[05.06.21|00:41:56] 	mean_loss: 0.9732915295033154. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:41:56] Done.
[05.06.21|00:41:56] Training epoch: 145
[05.06.21|00:43:38] 	Iter 23700 Done. | loss: 9.0045 | lr: 0.004325 | tf: 0.537108
[05.06.21|00:46:14] 	mean_loss: 0.9203639688084708. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:46:14] Time consumption:
[05.06.21|00:46:14] Done.
[05.06.21|00:46:14] Eval epoch: 145
[05.06.21|00:46:16] 	mean_loss: 0.924248478774415. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:46:16] Done.
[05.06.21|00:46:16] Training epoch: 146
[05.06.21|00:46:21] 	Iter 23800 Done. | loss: 10.1230 | lr: 0.004320 | tf: 0.534423
[05.06.21|00:48:52] 	Iter 23900 Done. | loss: 5.7056 | lr: 0.004320 | tf: 0.534423
[05.06.21|00:50:25] 	mean_loss: 0.9207472779879761. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:50:25] Time consumption:
[05.06.21|00:50:25] Done.
[05.06.21|00:50:25] Eval epoch: 146
[05.06.21|00:50:28] 	mean_loss: 0.9654711930045261. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:50:28] Done.
[05.06.21|00:50:28] Training epoch: 147
[05.06.21|00:51:30] 	Iter 24000 Done. | loss: 9.3293 | lr: 0.004316 | tf: 0.531751
[05.06.21|00:54:05] 	Iter 24100 Done. | loss: 7.0140 | lr: 0.004316 | tf: 0.531751
[05.06.21|00:54:43] 	mean_loss: 0.9439595774097888. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:54:43] Time consumption:
[05.06.21|00:54:43] Done.
[05.06.21|00:54:43] Eval epoch: 147
[05.06.21|00:54:46] 	mean_loss: 0.9476670738544027. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:54:46] Done.
[05.06.21|00:54:46] Training epoch: 148
[05.06.21|00:56:44] 	Iter 24200 Done. | loss: 3.8636 | lr: 0.004312 | tf: 0.529092
[05.06.21|00:59:11] 	mean_loss: 0.9000387295443562. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:59:11] Time consumption:
[05.06.21|00:59:11] Done.
[05.06.21|00:59:11] Eval epoch: 148
[05.06.21|00:59:14] 	mean_loss: 0.9624073679894866. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|00:59:14] Done.
[05.06.21|00:59:14] Training epoch: 149
[05.06.21|00:59:36] 	Iter 24300 Done. | loss: 10.3158 | lr: 0.004308 | tf: 0.526447
[05.06.21|01:02:07] 	Iter 24400 Done. | loss: 10.3902 | lr: 0.004308 | tf: 0.526447
[05.06.21|01:03:23] 	mean_loss: 0.9536018334420225. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:03:23] Time consumption:
[05.06.21|01:03:23] Done.
[05.06.21|01:03:23] Eval epoch: 149
[05.06.21|01:03:26] 	mean_loss: 0.9339769940534538. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:03:26] Done.
[05.06.21|01:03:26] Training epoch: 150
[05.06.21|01:04:41] 	Iter 24500 Done. | loss: 8.6025 | lr: 0.004303 | tf: 0.523814
[05.06.21|01:07:20] 	Iter 24600 Done. | loss: 5.6509 | lr: 0.004303 | tf: 0.523814
[05.06.21|01:07:37] 	mean_loss: 0.9746185110765044. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:07:37] Time consumption:
[05.06.21|01:07:37] Done.
[05.06.21|01:07:37] Eval epoch: 150
[05.06.21|01:07:41] 	mean_loss: 0.9679322803254274. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:07:41] Done.
[05.06.21|01:07:41] Training epoch: 151
[05.06.21|01:10:02] 	Iter 24700 Done. | loss: 9.0071 | lr: 0.004299 | tf: 0.521195
[05.06.21|01:11:55] 	mean_loss: 0.9757478665851895. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:11:55] Time consumption:
[05.06.21|01:11:55] Done.
[05.06.21|01:11:55] Eval epoch: 151
[05.06.21|01:11:57] 	mean_loss: 0.9121341463898359. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:11:57] Done.
[05.06.21|01:11:57] Training epoch: 152
[05.06.21|01:12:33] 	Iter 24800 Done. | loss: 5.5415 | lr: 0.004295 | tf: 0.518589
[05.06.21|01:14:57] 	Iter 24900 Done. | loss: 7.5827 | lr: 0.004295 | tf: 0.518589
[05.06.21|01:15:52] 	mean_loss: 0.9363417238701178. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:15:52] Time consumption:
[05.06.21|01:15:52] Done.
[05.06.21|01:15:52] Eval epoch: 152
[05.06.21|01:15:55] 	mean_loss: 0.9787350462900122. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:15:55] Done.
[05.06.21|01:15:55] Training epoch: 153
[05.06.21|01:17:27] 	Iter 25000 Done. | loss: 8.9139 | lr: 0.004290 | tf: 0.515996
[05.06.21|01:19:57] 	Iter 25100 Done. | loss: 8.9957 | lr: 0.004290 | tf: 0.515996
[05.06.21|01:19:59] 	mean_loss: 0.8517994002724941. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:19:59] Time consumption:
[05.06.21|01:19:59] Done.
[05.06.21|01:19:59] Eval epoch: 153
[05.06.21|01:20:02] 	mean_loss: 1.0570906348887474. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:20:02] Done.
[05.06.21|01:20:02] Training epoch: 154
[05.06.21|01:22:24] 	Iter 25200 Done. | loss: 10.0757 | lr: 0.004286 | tf: 0.513416
[05.06.21|01:23:56] 	mean_loss: 0.9364843144619404. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:23:56] Time consumption:
[05.06.21|01:23:56] Done.
[05.06.21|01:23:56] Eval epoch: 154
[05.06.21|01:23:59] 	mean_loss: 0.9839954247782583. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:23:59] Done.
[05.06.21|01:23:59] Training epoch: 155
[05.06.21|01:24:53] 	Iter 25300 Done. | loss: 5.7104 | lr: 0.004282 | tf: 0.510849
[05.06.21|01:27:16] 	Iter 25400 Done. | loss: 10.9502 | lr: 0.004282 | tf: 0.510849
[05.06.21|01:27:56] 	mean_loss: 0.930913075724427. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:27:56] Time consumption:
[05.06.21|01:27:56] Done.
[05.06.21|01:27:56] Eval epoch: 155
[05.06.21|01:27:59] 	mean_loss: 0.8627429745527713. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:27:59] Done.
[05.06.21|01:27:59] Training epoch: 156
[05.06.21|01:29:44] 	Iter 25500 Done. | loss: 8.7196 | lr: 0.004277 | tf: 0.508295
[05.06.21|01:31:54] 	mean_loss: 0.9451306675238318. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:31:54] Time consumption:
[05.06.21|01:31:54] Done.
[05.06.21|01:31:54] Eval epoch: 156
[05.06.21|01:31:57] 	mean_loss: 0.941948356818341. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:31:57] Done.
[05.06.21|01:31:57] Training epoch: 157
[05.06.21|01:32:12] 	Iter 25600 Done. | loss: 7.1090 | lr: 0.004273 | tf: 0.505754
[05.06.21|01:34:39] 	Iter 25700 Done. | loss: 6.6226 | lr: 0.004273 | tf: 0.505754
[05.06.21|01:35:56] 	mean_loss: 0.9206058532413796. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:35:56] Time consumption:
[05.06.21|01:35:56] Done.
[05.06.21|01:35:56] Eval epoch: 157
[05.06.21|01:35:59] 	mean_loss: 0.9984342190607274. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:35:59] Done.
[05.06.21|01:35:59] Training epoch: 158
[05.06.21|01:37:09] 	Iter 25800 Done. | loss: 7.2470 | lr: 0.004269 | tf: 0.503225
[05.06.21|01:39:44] 	Iter 25900 Done. | loss: 3.9687 | lr: 0.004269 | tf: 0.503225
[05.06.21|01:40:08] 	mean_loss: 0.9154693320330589. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:40:08] Time consumption:
[05.06.21|01:40:08] Done.
[05.06.21|01:40:08] Eval epoch: 158
[05.06.21|01:40:11] 	mean_loss: 0.9751814051893101. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:40:11] Done.
[05.06.21|01:40:11] Training epoch: 159
[05.06.21|01:42:13] 	Iter 26000 Done. | loss: 4.1001 | lr: 0.004265 | tf: 0.500709
[05.06.21|01:44:08] 	mean_loss: 0.9363419816346281. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:44:08] Time consumption:
[05.06.21|01:44:08] Done.
[05.06.21|01:44:08] Eval epoch: 159
[05.06.21|01:44:11] 	mean_loss: 1.0928295689464027. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:44:11] Done.
[05.06.21|01:44:11] Training epoch: 160
[05.06.21|01:44:39] 	Iter 26100 Done. | loss: 5.5360 | lr: 0.004260 | tf: 0.498205
[05.06.21|01:47:06] 	Iter 26200 Done. | loss: 8.3253 | lr: 0.004260 | tf: 0.498205
[05.06.21|01:48:05] 	mean_loss: 0.8934730571946664. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:48:05] Time consumption:
[05.06.21|01:48:05] Done.
[05.06.21|01:48:05] Eval epoch: 160
[05.06.21|01:48:07] 	mean_loss: 0.9397291438819564. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:48:07] Done.
[05.06.21|01:48:07] Training epoch: 161
[05.06.21|01:49:27] 	Iter 26300 Done. | loss: 3.4872 | lr: 0.004256 | tf: 0.495714
[05.06.21|01:51:41] 	Iter 26400 Done. | loss: 6.6528 | lr: 0.004256 | tf: 0.495714
[05.06.21|01:51:48] 	mean_loss: 0.929356336766958. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:51:48] Time consumption:
[05.06.21|01:51:48] Done.
[05.06.21|01:51:48] Eval epoch: 161
[05.06.21|01:51:50] 	mean_loss: 0.8841410923443417. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:51:50] Done.
[05.06.21|01:51:50] Training epoch: 162
[05.06.21|01:54:01] 	Iter 26500 Done. | loss: 2.7626 | lr: 0.004252 | tf: 0.493236
[05.06.21|01:55:34] 	mean_loss: 0.9023237132551941. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:55:34] Time consumption:
[05.06.21|01:55:34] Done.
[05.06.21|01:55:34] Eval epoch: 162
[05.06.21|01:55:37] 	mean_loss: 1.003485252941621. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:55:37] Done.
[05.06.21|01:55:37] Training epoch: 163
[05.06.21|01:56:22] 	Iter 26600 Done. | loss: 3.0201 | lr: 0.004248 | tf: 0.490769
[05.06.21|01:58:36] 	Iter 26700 Done. | loss: 8.5095 | lr: 0.004248 | tf: 0.490769
[05.06.21|01:59:19] 	mean_loss: 0.9351598171364294. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:59:19] Time consumption:
[05.06.21|01:59:19] Done.
[05.06.21|01:59:19] Eval epoch: 163
[05.06.21|01:59:21] 	mean_loss: 1.043503515215924. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|01:59:21] Done.
[05.06.21|01:59:21] Training epoch: 164
[05.06.21|02:00:56] 	Iter 26800 Done. | loss: 10.2179 | lr: 0.004243 | tf: 0.488316
[05.06.21|02:03:11] 	mean_loss: 0.8999463899092627. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:03:11] Time consumption:
[05.06.21|02:03:11] Done.
[05.06.21|02:03:11] Eval epoch: 164
[05.06.21|02:03:13] 	mean_loss: 1.0080724299062345. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:03:13] Done.
[05.06.21|02:03:13] Training epoch: 165
[05.06.21|02:03:21] 	Iter 26900 Done. | loss: 13.8436 | lr: 0.004239 | tf: 0.485874
[05.06.21|02:05:35] 	Iter 27000 Done. | loss: 10.3364 | lr: 0.004239 | tf: 0.485874
[05.06.21|02:06:53] 	mean_loss: 0.9197597281991455. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:06:53] Time consumption:
[05.06.21|02:06:53] Done.
[05.06.21|02:06:53] Eval epoch: 165
[05.06.21|02:06:55] 	mean_loss: 1.0461813556215114. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:06:55] Done.
[05.06.21|02:06:55] Training epoch: 166
[05.06.21|02:07:55] 	Iter 27100 Done. | loss: 5.6376 | lr: 0.004235 | tf: 0.483445
[05.06.21|02:10:12] 	Iter 27200 Done. | loss: 6.5949 | lr: 0.004235 | tf: 0.483445
[05.06.21|02:10:40] 	mean_loss: 0.901090661214454. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:10:40] Time consumption:
[05.06.21|02:10:40] Done.
[05.06.21|02:10:40] Eval epoch: 166
[05.06.21|02:10:42] 	mean_loss: 0.9083579803673567. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:10:42] Done.
[05.06.21|02:10:42] Training epoch: 167
[05.06.21|02:12:33] 	Iter 27300 Done. | loss: 9.0063 | lr: 0.004231 | tf: 0.481027
[05.06.21|02:14:27] 	mean_loss: 0.8837673793076863. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:14:27] Time consumption:
[05.06.21|02:14:27] Done.
[05.06.21|02:14:27] Eval epoch: 167
[05.06.21|02:14:29] 	mean_loss: 1.0430439765646302. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:14:29] Done.
[05.06.21|02:14:29] Training epoch: 168
[05.06.21|02:14:53] 	Iter 27400 Done. | loss: 4.0664 | lr: 0.004226 | tf: 0.478622
[05.06.21|02:17:13] 	Iter 27500 Done. | loss: 4.0994 | lr: 0.004226 | tf: 0.478622
[05.06.21|02:18:19] 	mean_loss: 0.9043056636046131. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:18:19] Time consumption:
[05.06.21|02:18:19] Done.
[05.06.21|02:18:19] Eval epoch: 168
[05.06.21|02:18:22] 	mean_loss: 0.9013837894171445. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:18:22] Done.
[05.06.21|02:18:22] Training epoch: 169
[05.06.21|02:19:38] 	Iter 27600 Done. | loss: 8.9262 | lr: 0.004222 | tf: 0.476229
[05.06.21|02:21:55] 	Iter 27700 Done. | loss: 5.3825 | lr: 0.004222 | tf: 0.476229
[05.06.21|02:22:07] 	mean_loss: 0.9083773605015798. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:22:07] Time consumption:
[05.06.21|02:22:07] Done.
[05.06.21|02:22:07] Eval epoch: 169
[05.06.21|02:22:11] 	mean_loss: 0.9169373709962617. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:22:11] Done.
[05.06.21|02:22:11] Training epoch: 170
[05.06.21|02:24:19] 	Iter 27800 Done. | loss: 15.3994 | lr: 0.004218 | tf: 0.473848
[05.06.21|02:25:57] 	mean_loss: 0.8959095970425708. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:25:57] Time consumption:
[05.06.21|02:25:57] Done.
[05.06.21|02:25:57] Eval epoch: 170
[05.06.21|02:25:59] 	mean_loss: 0.9942486265132336. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:25:59] Done.
[05.06.21|02:26:00] Training epoch: 171
[05.06.21|02:26:36] 	Iter 27900 Done. | loss: 7.6626 | lr: 0.004214 | tf: 0.471479
[05.06.21|02:28:21] 	Iter 28000 Done. | loss: 9.0535 | lr: 0.004214 | tf: 0.471479
[05.06.21|02:28:57] 	mean_loss: 0.8566889256204395. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:28:57] Time consumption:
[05.06.21|02:28:57] Done.
[05.06.21|02:28:57] Eval epoch: 171
[05.06.21|02:28:58] 	mean_loss: 0.9597847516510571. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:28:58] Done.
[05.06.21|02:28:58] Training epoch: 172
[05.06.21|02:30:05] 	Iter 28100 Done. | loss: 5.7069 | lr: 0.004210 | tf: 0.469121
[05.06.21|02:31:44] 	mean_loss: 0.9224294876835656. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:31:44] Time consumption:
[05.06.21|02:31:44] Done.
[05.06.21|02:31:44] Eval epoch: 172
[05.06.21|02:31:45] 	mean_loss: 0.8888195667402866. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:31:45] Done.
[05.06.21|02:31:45] Training epoch: 173
[05.06.21|02:31:47] 	Iter 28200 Done. | loss: 4.5600 | lr: 0.004205 | tf: 0.466776
[05.06.21|02:33:31] 	Iter 28300 Done. | loss: 6.3698 | lr: 0.004205 | tf: 0.466776
[05.06.21|02:34:33] 	mean_loss: 0.8749215853062958. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:34:33] Time consumption:
[05.06.21|02:34:33] Done.
[05.06.21|02:34:33] Eval epoch: 173
[05.06.21|02:34:34] 	mean_loss: 0.9728762487341016. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:34:34] Done.
[05.06.21|02:34:34] Training epoch: 174
[05.06.21|02:35:14] 	Iter 28400 Done. | loss: 10.5857 | lr: 0.004201 | tf: 0.464442
[05.06.21|02:36:57] 	Iter 28500 Done. | loss: 4.7715 | lr: 0.004201 | tf: 0.464442
[05.06.21|02:37:21] 	mean_loss: 0.8806635572000412. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:37:21] Time consumption:
[05.06.21|02:37:21] Done.
[05.06.21|02:37:21] Eval epoch: 174
[05.06.21|02:37:22] 	mean_loss: 0.9420547331892888. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:37:22] Done.
[05.06.21|02:37:22] Training epoch: 175
[05.06.21|02:38:38] 	Iter 28600 Done. | loss: 15.5548 | lr: 0.004197 | tf: 0.462120
[05.06.21|02:40:07] 	mean_loss: 0.9121999861836418. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:40:07] Time consumption:
[05.06.21|02:40:07] Done.
[05.06.21|02:40:07] Eval epoch: 175
[05.06.21|02:40:08] 	mean_loss: 1.0393785211596096. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:40:08] Done.
[05.06.21|02:40:08] Training epoch: 176
[05.06.21|02:40:20] 	Iter 28700 Done. | loss: 8.5485 | lr: 0.004193 | tf: 0.459809
[05.06.21|02:42:01] 	Iter 28800 Done. | loss: 2.9249 | lr: 0.004193 | tf: 0.459809
[05.06.21|02:42:52] 	mean_loss: 0.9266539476733278. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:42:52] Time consumption:
[05.06.21|02:42:52] Done.
[05.06.21|02:42:52] Eval epoch: 176
[05.06.21|02:42:53] 	mean_loss: 0.8910767814195828. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:42:53] Done.
[05.06.21|02:42:53] Training epoch: 177
[05.06.21|02:43:43] 	Iter 28900 Done. | loss: 7.0267 | lr: 0.004189 | tf: 0.457510
[05.06.21|02:45:26] 	Iter 29000 Done. | loss: 10.9191 | lr: 0.004189 | tf: 0.457510
[05.06.21|02:45:39] 	mean_loss: 0.9100390546395388. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:45:39] Time consumption:
[05.06.21|02:45:39] Done.
[05.06.21|02:45:39] Eval epoch: 177
[05.06.21|02:45:40] 	mean_loss: 0.8986499276510085. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:45:40] Done.
[05.06.21|02:45:40] Training epoch: 178
[05.06.21|02:47:10] 	Iter 29100 Done. | loss: 5.5965 | lr: 0.004184 | tf: 0.455222
[05.06.21|02:48:28] 	mean_loss: 0.910418409920234. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:48:28] Time consumption:
[05.06.21|02:48:28] Done.
[05.06.21|02:48:28] Eval epoch: 178
[05.06.21|02:48:29] 	mean_loss: 1.0135599908225712. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:48:29] Done.
[05.06.21|02:48:29] Training epoch: 179
[05.06.21|02:48:53] 	Iter 29200 Done. | loss: 8.9721 | lr: 0.004180 | tf: 0.452946
[05.06.21|02:50:34] 	Iter 29300 Done. | loss: 10.4111 | lr: 0.004180 | tf: 0.452946
[05.06.21|02:51:13] 	mean_loss: 0.8877605441851791. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:51:13] Time consumption:
[05.06.21|02:51:13] Done.
[05.06.21|02:51:13] Eval epoch: 179
[05.06.21|02:51:14] 	mean_loss: 1.0232501474482008. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:51:14] Done.
[05.06.21|02:51:14] Training epoch: 180
[05.06.21|02:52:14] 	Iter 29400 Done. | loss: 9.1074 | lr: 0.004176 | tf: 0.450682
[05.06.21|02:53:56] 	Iter 29500 Done. | loss: 4.2756 | lr: 0.004176 | tf: 0.450682
[05.06.21|02:53:58] 	mean_loss: 0.9103737699418167. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:53:58] Time consumption:
[05.06.21|02:53:58] Done.
[05.06.21|02:53:58] Eval epoch: 180
[05.06.21|02:53:59] 	mean_loss: 0.9711301105531323. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:53:59] Done.
[05.06.21|02:53:59] Training epoch: 181
[05.06.21|02:55:36] 	Iter 29600 Done. | loss: 7.4764 | lr: 0.004172 | tf: 0.448428
[05.06.21|02:56:41] 	mean_loss: 0.9025415780586946. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:56:41] Time consumption:
[05.06.21|02:56:41] Done.
[05.06.21|02:56:41] Eval epoch: 181
[05.06.21|02:56:42] 	mean_loss: 0.9852711684674965. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:56:42] Done.
[05.06.21|02:56:42] Training epoch: 182
[05.06.21|02:57:17] 	Iter 29700 Done. | loss: 3.5320 | lr: 0.004168 | tf: 0.446186
[05.06.21|02:59:02] 	Iter 29800 Done. | loss: 4.5297 | lr: 0.004168 | tf: 0.446186
[05.06.21|02:59:30] 	mean_loss: 0.8446588692181264. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:59:30] Time consumption:
[05.06.21|02:59:30] Done.
[05.06.21|02:59:30] Eval epoch: 182
[05.06.21|02:59:31] 	mean_loss: 1.0384008362326747. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|02:59:31] Done.
[05.06.21|02:59:31] Training epoch: 183
[05.06.21|03:00:43] 	Iter 29900 Done. | loss: 8.6889 | lr: 0.004163 | tf: 0.443955
[05.06.21|03:02:17] 	mean_loss: 0.8781055700444124. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:02:17] Time consumption:
[05.06.21|03:02:17] Done.
[05.06.21|03:02:17] Eval epoch: 183
[05.06.21|03:02:18] 	mean_loss: 0.9651377260041366. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:02:18] Done.
[05.06.21|03:02:18] Training epoch: 184
[05.06.21|03:02:27] 	Iter 30000 Done. | loss: 6.3628 | lr: 0.004159 | tf: 0.441735
[05.06.21|03:04:07] 	Iter 30100 Done. | loss: 5.9808 | lr: 0.004159 | tf: 0.441735
[05.06.21|03:05:01] 	mean_loss: 0.929166557187983. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:05:01] Time consumption:
[05.06.21|03:05:01] Done.
[05.06.21|03:05:01] Eval epoch: 184
[05.06.21|03:05:02] 	mean_loss: 0.9603843175800835. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:05:02] Done.
[05.06.21|03:05:02] Training epoch: 185
[05.06.21|03:05:48] 	Iter 30200 Done. | loss: 10.3215 | lr: 0.004155 | tf: 0.439527
[05.06.21|03:07:27] 	Iter 30300 Done. | loss: 10.2273 | lr: 0.004155 | tf: 0.439527
[05.06.21|03:07:45] 	mean_loss: 0.9279743328772104. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:07:45] Time consumption:
[05.06.21|03:07:45] Done.
[05.06.21|03:07:45] Eval epoch: 185
[05.06.21|03:07:46] 	mean_loss: 0.9654101534006528. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:07:46] Done.
[05.06.21|03:07:46] Training epoch: 186
[05.06.21|03:09:08] 	Iter 30400 Done. | loss: 7.3860 | lr: 0.004151 | tf: 0.437329
[05.06.21|03:10:30] 	mean_loss: 0.9161211023729384. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:10:30] Time consumption:
[05.06.21|03:10:30] Done.
[05.06.21|03:10:30] Eval epoch: 186
[05.06.21|03:10:31] 	mean_loss: 1.0379006666845478. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:10:31] Done.
[05.06.21|03:10:31] Training epoch: 187
[05.06.21|03:10:52] 	Iter 30500 Done. | loss: 7.5149 | lr: 0.004147 | tf: 0.435142
[05.06.21|03:12:32] 	Iter 30600 Done. | loss: 5.9813 | lr: 0.004147 | tf: 0.435142
[05.06.21|03:13:15] 	mean_loss: 0.9112914651391999. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:13:15] Time consumption:
[05.06.21|03:13:15] Done.
[05.06.21|03:13:15] Eval epoch: 187
[05.06.21|03:13:16] 	mean_loss: 0.9094971325233009. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:13:16] Done.
[05.06.21|03:13:16] Training epoch: 188
[05.06.21|03:14:13] 	Iter 30700 Done. | loss: 5.6709 | lr: 0.004143 | tf: 0.432967
[05.06.21|03:15:54] 	Iter 30800 Done. | loss: 3.8171 | lr: 0.004143 | tf: 0.432967
[05.06.21|03:16:00] 	mean_loss: 0.8942981895271704. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:16:00] Time consumption:
[05.06.21|03:16:00] Done.
[05.06.21|03:16:00] Eval epoch: 188
[05.06.21|03:16:01] 	mean_loss: 1.0352333564886669. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:16:01] Done.
[05.06.21|03:16:01] Training epoch: 189
[05.06.21|03:17:36] 	Iter 30900 Done. | loss: 7.2402 | lr: 0.004139 | tf: 0.430802
[05.06.21|03:18:44] 	mean_loss: 0.9350346974570956. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:18:44] Time consumption:
[05.06.21|03:18:44] Done.
[05.06.21|03:18:44] Eval epoch: 189
[05.06.21|03:18:45] 	mean_loss: 1.04423476192322. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:18:45] Done.
[05.06.21|03:18:45] Training epoch: 190
[05.06.21|03:19:16] 	Iter 31000 Done. | loss: 9.0597 | lr: 0.004134 | tf: 0.428648
[05.06.21|03:20:55] 	Iter 31100 Done. | loss: 8.8349 | lr: 0.004134 | tf: 0.428648
[05.06.21|03:21:26] 	mean_loss: 0.9777645334922724. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:21:26] Time consumption:
[05.06.21|03:21:26] Done.
[05.06.21|03:21:26] Eval epoch: 190
[05.06.21|03:21:27] 	mean_loss: 0.9527383172093186. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:21:27] Done.
[05.06.21|03:21:27] Training epoch: 191
[05.06.21|03:22:35] 	Iter 31200 Done. | loss: 10.3988 | lr: 0.004130 | tf: 0.426505
[05.06.21|03:24:10] 	mean_loss: 0.9377869171165792. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:24:10] Time consumption:
[05.06.21|03:24:10] Done.
[05.06.21|03:24:10] Eval epoch: 191
[05.06.21|03:24:11] 	mean_loss: 0.984673314252567. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:24:11] Done.
[05.06.21|03:24:11] Training epoch: 192
[05.06.21|03:24:16] 	Iter 31300 Done. | loss: 9.2017 | lr: 0.004126 | tf: 0.424372
[05.06.21|03:25:56] 	Iter 31400 Done. | loss: 8.9065 | lr: 0.004126 | tf: 0.424372
[05.06.21|03:26:54] 	mean_loss: 0.973321189316744. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:26:54] Time consumption:
[05.06.21|03:26:54] Done.
[05.06.21|03:26:54] Eval epoch: 192
[05.06.21|03:26:55] 	mean_loss: 1.0103900226282048. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:26:55] Done.
[05.06.21|03:26:55] Training epoch: 193
[05.06.21|03:27:37] 	Iter 31500 Done. | loss: 8.7538 | lr: 0.004122 | tf: 0.422250
[05.06.21|03:29:16] 	Iter 31600 Done. | loss: 5.1940 | lr: 0.004122 | tf: 0.422250
[05.06.21|03:29:37] 	mean_loss: 0.9619733490605721. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:29:37] Time consumption:
[05.06.21|03:29:37] Done.
[05.06.21|03:29:37] Eval epoch: 193
[05.06.21|03:29:38] 	mean_loss: 0.9714370166112547. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:29:38] Done.
[05.06.21|03:29:38] Training epoch: 194
[05.06.21|03:30:58] 	Iter 31700 Done. | loss: 3.8024 | lr: 0.004118 | tf: 0.420139
[05.06.21|03:32:22] 	mean_loss: 0.89712147570489. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:32:22] Time consumption:
[05.06.21|03:32:22] Done.
[05.06.21|03:32:22] Eval epoch: 194
[05.06.21|03:32:23] 	mean_loss: 0.9678930980560738. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:32:23] Done.
[05.06.21|03:32:23] Training epoch: 195
[05.06.21|03:32:40] 	Iter 31800 Done. | loss: 8.7531 | lr: 0.004114 | tf: 0.418038
[05.06.21|03:34:22] 	Iter 31900 Done. | loss: 8.9139 | lr: 0.004114 | tf: 0.418038
[05.06.21|03:35:09] 	mean_loss: 0.878287524265594. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:35:09] Time consumption:
[05.06.21|03:35:09] Done.
[05.06.21|03:35:09] Eval epoch: 195
[05.06.21|03:35:10] 	mean_loss: 0.8951810902992465. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:35:10] Done.
[05.06.21|03:35:10] Training epoch: 196
[05.06.21|03:36:04] 	Iter 32000 Done. | loss: 9.1209 | lr: 0.004110 | tf: 0.415948
[05.06.21|03:37:43] 	Iter 32100 Done. | loss: 8.6245 | lr: 0.004110 | tf: 0.415948
[05.06.21|03:37:53] 	mean_loss: 0.9123910204137066. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:37:53] Time consumption:
[05.06.21|03:37:53] Done.
[05.06.21|03:37:53] Eval epoch: 196
[05.06.21|03:37:55] 	mean_loss: 0.9709584113113395. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:37:55] Done.
[05.06.21|03:37:55] Training epoch: 197
[05.06.21|03:39:28] 	Iter 32200 Done. | loss: 7.3871 | lr: 0.004106 | tf: 0.413868
[05.06.21|03:40:40] 	mean_loss: 0.8675322809824794. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:40:40] Time consumption:
[05.06.21|03:40:40] Done.
[05.06.21|03:40:40] Eval epoch: 197
[05.06.21|03:40:41] 	mean_loss: 0.9582199703932295. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:40:41] Done.
[05.06.21|03:40:41] Training epoch: 198
[05.06.21|03:41:07] 	Iter 32300 Done. | loss: 8.7267 | lr: 0.004101 | tf: 0.411799
[05.06.21|03:42:47] 	Iter 32400 Done. | loss: 6.1485 | lr: 0.004101 | tf: 0.411799
[05.06.21|03:43:24] 	mean_loss: 0.9226388624506952. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:43:24] Time consumption:
[05.06.21|03:43:24] Done.
[05.06.21|03:43:24] Eval epoch: 198
[05.06.21|03:43:25] 	mean_loss: 0.9798460954910444. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:43:25] Done.
[05.06.21|03:43:25] Training epoch: 199
[05.06.21|03:44:31] 	Iter 32500 Done. | loss: 6.7018 | lr: 0.004097 | tf: 0.409740
[05.06.21|03:46:12] 	mean_loss: 0.8736212657726691. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:46:12] Time consumption:
[05.06.21|03:46:12] Done.
[05.06.21|03:46:12] Eval epoch: 199
[05.06.21|03:46:13] 	mean_loss: 0.9720298309595621. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:46:13] Done.
[05.06.21|03:46:13] Training epoch: 200
[05.06.21|03:46:14] 	Iter 32600 Done. | loss: 8.8595 | lr: 0.004093 | tf: 0.407691
[05.06.21|03:47:55] 	Iter 32700 Done. | loss: 2.5682 | lr: 0.004093 | tf: 0.407691
[05.06.21|03:48:58] 	mean_loss: 0.8787587518918646. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:48:58] Time consumption:
[05.06.21|03:48:58] Done.
[05.06.21|03:48:58] Eval epoch: 200
[05.06.21|03:48:59] 	mean_loss: 0.9225635133816555. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:48:59] Done.
[05.06.21|03:48:59] Training epoch: 201
[05.06.21|03:49:36] 	Iter 32800 Done. | loss: 8.8870 | lr: 0.004089 | tf: 0.405653
[05.06.21|03:51:16] 	Iter 32900 Done. | loss: 7.3366 | lr: 0.004089 | tf: 0.405653
[05.06.21|03:51:41] 	mean_loss: 0.9476642802671355. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:51:41] Time consumption:
[05.06.21|03:51:41] Done.
[05.06.21|03:51:41] Eval epoch: 201
[05.06.21|03:51:42] 	mean_loss: 0.9377823609239497. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:51:42] Done.
[05.06.21|03:51:42] Training epoch: 202
[05.06.21|03:52:57] 	Iter 33000 Done. | loss: 11.3114 | lr: 0.004085 | tf: 0.403625
[05.06.21|03:54:25] 	mean_loss: 0.9133194939117567. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:54:25] Time consumption:
[05.06.21|03:54:25] Done.
[05.06.21|03:54:25] Eval epoch: 202
[05.06.21|03:54:26] 	mean_loss: 1.029239505441117. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:54:26] Done.
[05.06.21|03:54:26] Training epoch: 203
[05.06.21|03:54:37] 	Iter 33100 Done. | loss: 7.6954 | lr: 0.004081 | tf: 0.401606
[05.06.21|03:56:19] 	Iter 33200 Done. | loss: 2.3719 | lr: 0.004081 | tf: 0.401606
[05.06.21|03:57:11] 	mean_loss: 0.8790271969065456. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:57:11] Time consumption:
[05.06.21|03:57:11] Done.
[05.06.21|03:57:11] Eval epoch: 203
[05.06.21|03:57:12] 	mean_loss: 1.0146344276674557. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:57:12] Done.
[05.06.21|03:57:12] Training epoch: 204
[05.06.21|03:57:59] 	Iter 33300 Done. | loss: 4.3410 | lr: 0.004077 | tf: 0.399598
[05.06.21|03:59:41] 	Iter 33400 Done. | loss: 5.5033 | lr: 0.004077 | tf: 0.399598
[05.06.21|03:59:56] 	mean_loss: 0.8879645793320234. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:59:56] Time consumption:
[05.06.21|03:59:56] Done.
[05.06.21|03:59:56] Eval epoch: 204
[05.06.21|03:59:57] 	mean_loss: 0.9912103424993518. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|03:59:57] Done.
[05.06.21|03:59:57] Training epoch: 205
[05.06.21|04:01:22] 	Iter 33500 Done. | loss: 7.5170 | lr: 0.004073 | tf: 0.397600
[05.06.21|04:02:39] 	mean_loss: 0.9400623181663246. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:02:39] Time consumption:
[05.06.21|04:02:39] Done.
[05.06.21|04:02:39] Eval epoch: 205
[05.06.21|04:02:40] 	mean_loss: 0.8930936540454754. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:02:40] Done.
[05.06.21|04:02:40] Training epoch: 206
[05.06.21|04:03:03] 	Iter 33600 Done. | loss: 7.1145 | lr: 0.004069 | tf: 0.395612
[05.06.21|04:04:44] 	Iter 33700 Done. | loss: 7.4221 | lr: 0.004069 | tf: 0.395612
[05.06.21|04:05:25] 	mean_loss: 0.8868491900647536. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:05:25] Time consumption:
[05.06.21|04:05:25] Done.
[05.06.21|04:05:25] Eval epoch: 206
[05.06.21|04:05:26] 	mean_loss: 0.9178930899119528. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:05:26] Done.
[05.06.21|04:05:26] Training epoch: 207
[05.06.21|04:06:30] 	Iter 33800 Done. | loss: 9.1482 | lr: 0.004065 | tf: 0.393634
[05.06.21|04:08:13] 	Iter 33900 Done. | loss: 7.5673 | lr: 0.004065 | tf: 0.393634
[05.06.21|04:08:16] 	mean_loss: 0.8614424430882833. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:08:16] Time consumption:
[05.06.21|04:08:16] Done.
[05.06.21|04:08:16] Eval epoch: 207
[05.06.21|04:08:17] 	mean_loss: 0.8747994113074746. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:08:17] Done.
[05.06.21|04:08:17] Training epoch: 208
[05.06.21|04:09:56] 	Iter 34000 Done. | loss: 10.4368 | lr: 0.004061 | tf: 0.391666
[05.06.21|04:11:01] 	mean_loss: 0.9101795006384872. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:11:01] Time consumption:
[05.06.21|04:11:01] Done.
[05.06.21|04:11:01] Eval epoch: 208
[05.06.21|04:11:02] 	mean_loss: 0.9807696218810877. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:11:02] Done.
[05.06.21|04:11:02] Training epoch: 209
[05.06.21|04:11:36] 	Iter 34100 Done. | loss: 7.0979 | lr: 0.004057 | tf: 0.389708
[05.06.21|04:13:17] 	Iter 34200 Done. | loss: 9.2105 | lr: 0.004057 | tf: 0.389708
[05.06.21|04:13:46] 	mean_loss: 0.9044323885912822. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:13:46] Time consumption:
[05.06.21|04:13:46] Done.
[05.06.21|04:13:46] Eval epoch: 209
[05.06.21|04:13:47] 	mean_loss: 0.8870869991316679. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:13:47] Done.
[05.06.21|04:13:47] Training epoch: 210
[05.06.21|04:14:58] 	Iter 34300 Done. | loss: 4.9647 | lr: 0.004052 | tf: 0.387759
[05.06.21|04:16:30] 	mean_loss: 0.9203373276948378. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:16:30] Time consumption:
[05.06.21|04:16:30] Done.
[05.06.21|04:16:30] Eval epoch: 210
[05.06.21|04:16:31] 	mean_loss: 0.9242142553161583. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:16:31] Done.
[05.06.21|04:16:31] Training epoch: 211
[05.06.21|04:16:39] 	Iter 34400 Done. | loss: 10.3759 | lr: 0.004048 | tf: 0.385821
[05.06.21|04:18:17] 	Iter 34500 Done. | loss: 10.5650 | lr: 0.004048 | tf: 0.385821
[05.06.21|04:19:13] 	mean_loss: 0.9238163497977884. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:19:13] Time consumption:
[05.06.21|04:19:13] Done.
[05.06.21|04:19:13] Eval epoch: 211
[05.06.21|04:19:14] 	mean_loss: 0.9348928986892278. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:19:14] Done.
[05.06.21|04:19:14] Training epoch: 212
[05.06.21|04:19:59] 	Iter 34600 Done. | loss: 7.3226 | lr: 0.004044 | tf: 0.383891
[05.06.21|04:21:40] 	Iter 34700 Done. | loss: 9.2550 | lr: 0.004044 | tf: 0.383891
[05.06.21|04:21:59] 	mean_loss: 0.8813778623194614. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:21:59] Time consumption:
[05.06.21|04:21:59] Done.
[05.06.21|04:21:59] Eval epoch: 212
[05.06.21|04:22:00] 	mean_loss: 0.8737201839266278. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:22:00] Done.
[05.06.21|04:22:00] Training epoch: 213
[05.06.21|04:23:23] 	Iter 34800 Done. | loss: 5.5428 | lr: 0.004040 | tf: 0.381972
[05.06.21|04:24:45] 	mean_loss: 0.871175142497383. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:24:45] Time consumption:
[05.06.21|04:24:45] Done.
[05.06.21|04:24:45] Eval epoch: 213
[05.06.21|04:24:46] 	mean_loss: 0.8776820967799817. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:24:46] Done.
[05.06.21|04:24:46] Training epoch: 214
[05.06.21|04:25:06] 	Iter 34900 Done. | loss: 3.4477 | lr: 0.004036 | tf: 0.380062
[05.06.21|04:26:48] 	Iter 35000 Done. | loss: 6.6932 | lr: 0.004036 | tf: 0.380062
[05.06.21|04:27:32] 	mean_loss: 0.8726929063039142. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:27:32] Time consumption:
[05.06.21|04:27:32] Done.
[05.06.21|04:27:32] Eval epoch: 214
[05.06.21|04:27:33] 	mean_loss: 0.9584996808345284. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:27:33] Done.
[05.06.21|04:27:33] Training epoch: 215
[05.06.21|04:28:30] 	Iter 35100 Done. | loss: 6.1993 | lr: 0.004032 | tf: 0.378162
[05.06.21|04:30:11] 	Iter 35200 Done. | loss: 5.9082 | lr: 0.004032 | tf: 0.378162
[05.06.21|04:30:18] 	mean_loss: 0.8891665265186961. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:30:18] Time consumption:
[05.06.21|04:30:18] Done.
[05.06.21|04:30:18] Eval epoch: 215
[05.06.21|04:30:19] 	mean_loss: 0.8786450919529767. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:30:19] Done.
[05.06.21|04:30:19] Training epoch: 216
[05.06.21|04:31:54] 	Iter 35300 Done. | loss: 8.7360 | lr: 0.004028 | tf: 0.376271
[05.06.21|04:33:07] 	mean_loss: 0.8960761332759115. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:33:07] Time consumption:
[05.06.21|04:33:07] Done.
[05.06.21|04:33:07] Eval epoch: 216
[05.06.21|04:33:08] 	mean_loss: 0.9625012925151989. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:33:08] Done.
[05.06.21|04:33:08] Training epoch: 217
[05.06.21|04:33:38] 	Iter 35400 Done. | loss: 6.4586 | lr: 0.004024 | tf: 0.374390
[05.06.21|04:35:21] 	Iter 35500 Done. | loss: 6.3856 | lr: 0.004024 | tf: 0.374390
[05.06.21|04:35:55] 	mean_loss: 0.865322752629791. Best so far: 0.842014916324881 (epoch: 73).
[05.06.21|04:35:55] Time consumption:
[05.06.21|04:35:55] Done.
[05.06.21|04:35:55] Eval epoch: 217
[05.06.21|04:35:56] 	mean_loss: 0.8248204684761368. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:35:56] Done.
[05.06.21|04:35:56] Training epoch: 218
[05.06.21|04:37:03] 	Iter 35600 Done. | loss: 7.3675 | lr: 0.004020 | tf: 0.372518
[05.06.21|04:38:38] 	mean_loss: 0.9017943698076337. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:38:38] Time consumption:
[05.06.21|04:38:38] Done.
[05.06.21|04:38:38] Eval epoch: 218
[05.06.21|04:38:39] 	mean_loss: 0.9698526835558483. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:38:39] Done.
[05.06.21|04:38:39] Training epoch: 219
[05.06.21|04:38:43] 	Iter 35700 Done. | loss: 6.2979 | lr: 0.004016 | tf: 0.370655
[05.06.21|04:40:24] 	Iter 35800 Done. | loss: 5.4672 | lr: 0.004016 | tf: 0.370655
[05.06.21|04:41:22] 	mean_loss: 0.8973163302299576. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:41:22] Time consumption:
[05.06.21|04:41:22] Done.
[05.06.21|04:41:22] Eval epoch: 219
[05.06.21|04:41:23] 	mean_loss: 0.9615096551475001. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:41:23] Done.
[05.06.21|04:41:23] Training epoch: 220
[05.06.21|04:42:05] 	Iter 35900 Done. | loss: 6.0562 | lr: 0.004012 | tf: 0.368802
[05.06.21|04:43:46] 	Iter 36000 Done. | loss: 9.1320 | lr: 0.004012 | tf: 0.368802
[05.06.21|04:44:08] 	mean_loss: 0.9020433115546165. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:44:08] Time consumption:
[05.06.21|04:44:08] Done.
[05.06.21|04:44:08] Eval epoch: 220
[05.06.21|04:44:09] 	mean_loss: 0.9688069130158197. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:44:09] Done.
[05.06.21|04:44:09] Training epoch: 221
[05.06.21|04:45:28] 	Iter 36100 Done. | loss: 8.7050 | lr: 0.004008 | tf: 0.366958
[05.06.21|04:46:53] 	mean_loss: 0.9234681357419203. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:46:53] Time consumption:
[05.06.21|04:46:53] Done.
[05.06.21|04:46:53] Eval epoch: 221
[05.06.21|04:46:54] 	mean_loss: 0.9667410015248423. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:46:54] Done.
[05.06.21|04:46:54] Training epoch: 222
[05.06.21|04:47:09] 	Iter 36200 Done. | loss: 8.6379 | lr: 0.004004 | tf: 0.365123
[05.06.21|04:48:51] 	Iter 36300 Done. | loss: 6.4324 | lr: 0.004004 | tf: 0.365123
[05.06.21|04:49:39] 	mean_loss: 0.8808991622816102. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:49:39] Time consumption:
[05.06.21|04:49:39] Done.
[05.06.21|04:49:39] Eval epoch: 222
[05.06.21|04:49:40] 	mean_loss: 1.0243760487308156. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:49:40] Done.
[05.06.21|04:49:40] Training epoch: 223
[05.06.21|04:50:31] 	Iter 36400 Done. | loss: 9.0681 | lr: 0.004000 | tf: 0.363297
[05.06.21|04:52:10] 	Iter 36500 Done. | loss: 7.2496 | lr: 0.004000 | tf: 0.363297
[05.06.21|04:52:21] 	mean_loss: 0.9350587257612548. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:52:21] Time consumption:
[05.06.21|04:52:21] Done.
[05.06.21|04:52:21] Eval epoch: 223
[05.06.21|04:52:22] 	mean_loss: 0.9042461505150424. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:52:22] Done.
[05.06.21|04:52:22] Training epoch: 224
[05.06.21|04:53:51] 	Iter 36600 Done. | loss: 8.7362 | lr: 0.003996 | tf: 0.361481
[05.06.21|04:55:04] 	mean_loss: 0.9178700002636916. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:55:04] Time consumption:
[05.06.21|04:55:04] Done.
[05.06.21|04:55:04] Eval epoch: 224
[05.06.21|04:55:05] 	mean_loss: 0.9607116048406331. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:55:05] Done.
[05.06.21|04:55:05] Training epoch: 225
[05.06.21|04:55:31] 	Iter 36700 Done. | loss: 9.0791 | lr: 0.003992 | tf: 0.359674
[05.06.21|04:57:12] 	Iter 36800 Done. | loss: 9.2247 | lr: 0.003992 | tf: 0.359674
[05.06.21|04:57:48] 	mean_loss: 0.9188708768958888. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:57:48] Time consumption:
[05.06.21|04:57:48] Done.
[05.06.21|04:57:48] Eval epoch: 225
[05.06.21|04:57:49] 	mean_loss: 0.9583190160343392. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|04:57:49] Done.
[05.06.21|04:57:49] Training epoch: 226
[05.06.21|04:58:53] 	Iter 36900 Done. | loss: 5.4408 | lr: 0.003988 | tf: 0.357875
[05.06.21|05:00:33] 	Iter 37000 Done. | loss: 10.0712 | lr: 0.003988 | tf: 0.357875
[05.06.21|05:00:33] 	mean_loss: 0.9011219640452334. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:00:33] Time consumption:
[05.06.21|05:00:33] Done.
[05.06.21|05:00:33] Eval epoch: 226
[05.06.21|05:00:34] 	mean_loss: 1.0008079902873097. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:00:34] Done.
[05.06.21|05:00:34] Training epoch: 227
[05.06.21|05:02:15] 	Iter 37100 Done. | loss: 8.8913 | lr: 0.003984 | tf: 0.356086
[05.06.21|05:03:18] 	mean_loss: 0.8869130891841382. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:03:18] Time consumption:
[05.06.21|05:03:18] Done.
[05.06.21|05:03:18] Eval epoch: 227
[05.06.21|05:03:19] 	mean_loss: 0.879819692962751. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:03:19] Done.
[05.06.21|05:03:19] Training epoch: 228
[05.06.21|05:03:56] 	Iter 37200 Done. | loss: 7.7975 | lr: 0.003980 | tf: 0.354305
[05.06.21|05:05:36] 	Iter 37300 Done. | loss: 5.8253 | lr: 0.003980 | tf: 0.354305
[05.06.21|05:06:03] 	mean_loss: 0.8879149882383126. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:06:03] Time consumption:
[05.06.21|05:06:03] Done.
[05.06.21|05:06:03] Eval epoch: 228
[05.06.21|05:06:04] 	mean_loss: 0.9305670440732922. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:06:04] Done.
[05.06.21|05:06:04] Training epoch: 229
[05.06.21|05:07:17] 	Iter 37400 Done. | loss: 14.2822 | lr: 0.003976 | tf: 0.352534
[05.06.21|05:08:46] 	mean_loss: 0.9067424051103016. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:08:46] Time consumption:
[05.06.21|05:08:46] Done.
[05.06.21|05:08:46] Eval epoch: 229
[05.06.21|05:08:47] 	mean_loss: 1.0613830232151098. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:08:47] Done.
[05.06.21|05:08:47] Training epoch: 230
[05.06.21|05:08:58] 	Iter 37500 Done. | loss: 4.1723 | lr: 0.003972 | tf: 0.350771
[05.06.21|05:10:39] 	Iter 37600 Done. | loss: 7.2055 | lr: 0.003972 | tf: 0.350771
[05.06.21|05:11:32] 	mean_loss: 0.8516890236220932. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:11:32] Time consumption:
[05.06.21|05:11:32] Done.
[05.06.21|05:11:32] Eval epoch: 230
[05.06.21|05:11:33] 	mean_loss: 0.9855322281542097. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:11:33] Done.
[05.06.21|05:11:33] Training epoch: 231
[05.06.21|05:12:21] 	Iter 37700 Done. | loss: 4.6674 | lr: 0.003968 | tf: 0.349017
[05.06.21|05:14:03] 	Iter 37800 Done. | loss: 3.7305 | lr: 0.003968 | tf: 0.349017
[05.06.21|05:14:18] 	mean_loss: 0.879565529611377. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:14:18] Time consumption:
[05.06.21|05:14:18] Done.
[05.06.21|05:14:18] Eval epoch: 231
[05.06.21|05:14:19] 	mean_loss: 0.9355545344292118. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:14:19] Done.
[05.06.21|05:14:19] Training epoch: 232
[05.06.21|05:15:46] 	Iter 37900 Done. | loss: 5.3320 | lr: 0.003964 | tf: 0.347272
[05.06.21|05:17:02] 	mean_loss: 0.8899990991173168. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:17:02] Time consumption:
[05.06.21|05:17:02] Done.
[05.06.21|05:17:02] Eval epoch: 232
[05.06.21|05:17:03] 	mean_loss: 0.9687928216174955. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:17:03] Done.
[05.06.21|05:17:03] Training epoch: 233
[05.06.21|05:17:24] 	Iter 38000 Done. | loss: 4.2878 | lr: 0.003960 | tf: 0.345536
[05.06.21|05:19:04] 	Iter 38100 Done. | loss: 8.9665 | lr: 0.003960 | tf: 0.345536
[05.06.21|05:19:45] 	mean_loss: 0.905418611815269. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:19:45] Time consumption:
[05.06.21|05:19:45] Done.
[05.06.21|05:19:45] Eval epoch: 233
[05.06.21|05:19:46] 	mean_loss: 0.9504241968949676. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:19:46] Done.
[05.06.21|05:19:46] Training epoch: 234
[05.06.21|05:20:46] 	Iter 38200 Done. | loss: 9.3307 | lr: 0.003956 | tf: 0.343808
[05.06.21|05:22:27] 	Iter 38300 Done. | loss: 5.4775 | lr: 0.003956 | tf: 0.343808
[05.06.21|05:22:32] 	mean_loss: 0.8392428988780618. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:22:32] Time consumption:
[05.06.21|05:22:32] Done.
[05.06.21|05:22:32] Eval epoch: 234
[05.06.21|05:22:33] 	mean_loss: 0.8580128669437435. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:22:33] Done.
[05.06.21|05:22:33] Training epoch: 235
[05.06.21|05:24:09] 	Iter 38400 Done. | loss: 8.5928 | lr: 0.003952 | tf: 0.342089
[05.06.21|05:25:18] 	mean_loss: 0.8761669223917602. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:25:18] Time consumption:
[05.06.21|05:25:18] Done.
[05.06.21|05:25:18] Eval epoch: 235
[05.06.21|05:25:19] 	mean_loss: 0.9097458907481047. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:25:19] Done.
[05.06.21|05:25:19] Training epoch: 236
[05.06.21|05:25:53] 	Iter 38500 Done. | loss: 5.2195 | lr: 0.003948 | tf: 0.340379
[05.06.21|05:27:33] 	Iter 38600 Done. | loss: 2.4469 | lr: 0.003948 | tf: 0.340379
[05.06.21|05:28:03] 	mean_loss: 0.8746579844859257. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:28:03] Time consumption:
[05.06.21|05:28:03] Done.
[05.06.21|05:28:03] Eval epoch: 236
[05.06.21|05:28:04] 	mean_loss: 1.0499926328580096. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:28:04] Done.
[05.06.21|05:28:04] Training epoch: 237
[05.06.21|05:29:14] 	Iter 38700 Done. | loss: 7.1184 | lr: 0.003944 | tf: 0.338677
[05.06.21|05:30:49] 	mean_loss: 0.8864849103541398. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:30:49] Time consumption:
[05.06.21|05:30:49] Done.
[05.06.21|05:30:49] Eval epoch: 237
[05.06.21|05:30:50] 	mean_loss: 0.9532708279688968. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:30:50] Done.
[05.06.21|05:30:50] Training epoch: 238
[05.06.21|05:30:56] 	Iter 38800 Done. | loss: 8.9810 | lr: 0.003941 | tf: 0.336983
[05.06.21|05:32:36] 	Iter 38900 Done. | loss: 7.6677 | lr: 0.003941 | tf: 0.336983
[05.06.21|05:33:31] 	mean_loss: 0.9217591351722594. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:33:31] Time consumption:
[05.06.21|05:33:31] Done.
[05.06.21|05:33:31] Eval epoch: 238
[05.06.21|05:33:32] 	mean_loss: 0.9059798851635379. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:33:32] Done.
[05.06.21|05:33:32] Training epoch: 239
[05.06.21|05:34:18] 	Iter 39000 Done. | loss: 5.3047 | lr: 0.003937 | tf: 0.335298
[05.06.21|05:35:59] 	Iter 39100 Done. | loss: 7.5292 | lr: 0.003937 | tf: 0.335298
[05.06.21|05:36:17] 	mean_loss: 0.8567436704338354. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:36:17] Time consumption:
[05.06.21|05:36:17] Done.
[05.06.21|05:36:17] Eval epoch: 239
[05.06.21|05:36:18] 	mean_loss: 1.0085951592776212. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:36:18] Done.
[05.06.21|05:36:18] Training epoch: 240
[05.06.21|05:37:41] 	Iter 39200 Done. | loss: 5.6449 | lr: 0.003933 | tf: 0.333622
[05.06.21|05:39:02] 	mean_loss: 0.87668236511306. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:39:02] Time consumption:
[05.06.21|05:39:02] Done.
[05.06.21|05:39:02] Eval epoch: 240
[05.06.21|05:39:04] 	mean_loss: 0.9401222095043336. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:39:04] Done.
[05.06.21|05:39:04] Training epoch: 241
[05.06.21|05:39:21] 	Iter 39300 Done. | loss: 6.0193 | lr: 0.003929 | tf: 0.331954
[05.06.21|05:41:03] 	Iter 39400 Done. | loss: 7.4305 | lr: 0.003929 | tf: 0.331954
[05.06.21|05:41:48] 	mean_loss: 0.8808545423551345. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:41:48] Time consumption:
[05.06.21|05:41:48] Done.
[05.06.21|05:41:48] Eval epoch: 241
[05.06.21|05:41:49] 	mean_loss: 1.0305389493137322. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:41:49] Done.
[05.06.21|05:41:49] Training epoch: 242
[05.06.21|05:42:44] 	Iter 39500 Done. | loss: 8.9090 | lr: 0.003925 | tf: 0.330294
[05.06.21|05:44:25] 	Iter 39600 Done. | loss: 5.9511 | lr: 0.003925 | tf: 0.330294
[05.06.21|05:44:33] 	mean_loss: 0.8902607016593778. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:44:33] Time consumption:
[05.06.21|05:44:33] Done.
[05.06.21|05:44:33] Eval epoch: 242
[05.06.21|05:44:34] 	mean_loss: 0.9436705578271019. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:44:34] Done.
[05.06.21|05:44:34] Training epoch: 243
[05.06.21|05:46:04] 	Iter 39700 Done. | loss: 6.2447 | lr: 0.003921 | tf: 0.328643
[05.06.21|05:47:15] 	mean_loss: 0.9338646144313297. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:47:15] Time consumption:
[05.06.21|05:47:15] Done.
[05.06.21|05:47:15] Eval epoch: 243
[05.06.21|05:47:16] 	mean_loss: 1.022319122786607. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:47:16] Done.
[05.06.21|05:47:16] Training epoch: 244
[05.06.21|05:47:44] 	Iter 39800 Done. | loss: 8.7367 | lr: 0.003917 | tf: 0.326999
[05.06.21|05:49:23] 	Iter 39900 Done. | loss: 6.3793 | lr: 0.003917 | tf: 0.326999
[05.06.21|05:49:57] 	mean_loss: 0.9193090394620983. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:49:57] Time consumption:
[05.06.21|05:49:57] Done.
[05.06.21|05:49:57] Eval epoch: 244
[05.06.21|05:49:59] 	mean_loss: 0.9663710984281562. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:49:59] Done.
[05.06.21|05:49:59] Training epoch: 245
[05.06.21|05:51:05] 	Iter 40000 Done. | loss: 14.0693 | lr: 0.003913 | tf: 0.325364
[05.06.21|05:52:43] 	mean_loss: 0.8678807613431255. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:52:43] Time consumption:
[05.06.21|05:52:43] Done.
[05.06.21|05:52:43] Eval epoch: 245
[05.06.21|05:52:44] 	mean_loss: 0.9203301992965331. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:52:44] Done.
[05.06.21|05:52:44] Training epoch: 246
[05.06.21|05:52:47] 	Iter 40100 Done. | loss: 8.9995 | lr: 0.003909 | tf: 0.323738
[05.06.21|05:54:28] 	Iter 40200 Done. | loss: 4.9883 | lr: 0.003909 | tf: 0.323738
[05.06.21|05:55:27] 	mean_loss: 0.9230719526806028. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:55:27] Time consumption:
[05.06.21|05:55:27] Done.
[05.06.21|05:55:27] Eval epoch: 246
[05.06.21|05:55:28] 	mean_loss: 0.9435748411262738. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:55:28] Done.
[05.06.21|05:55:28] Training epoch: 247
[05.06.21|05:56:10] 	Iter 40300 Done. | loss: 3.5202 | lr: 0.003905 | tf: 0.322119
[05.06.21|05:57:49] 	Iter 40400 Done. | loss: 10.2174 | lr: 0.003905 | tf: 0.322119
[05.06.21|05:58:13] 	mean_loss: 0.9154712530424086. Best so far: 0.8248204684761368 (epoch: 217).
[05.06.21|05:58:13] Time consumption:
[05.06.21|05:58:13] Done.
[05.06.21|05:58:13] Eval epoch: 247
[05.06.21|05:58:14] 	mean_loss: 0.8009217801473337. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|05:58:14] Done.
[05.06.21|05:58:14] Training epoch: 248
[05.06.21|05:59:32] 	Iter 40500 Done. | loss: 5.7322 | lr: 0.003901 | tf: 0.320508
[05.06.21|06:01:01] 	mean_loss: 0.8587659448373482. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:01:01] Time consumption:
[05.06.21|06:01:01] Done.
[05.06.21|06:01:01] Eval epoch: 248
[05.06.21|06:01:02] 	mean_loss: 0.956324908315272. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:01:02] Done.
[05.06.21|06:01:02] Training epoch: 249
[05.06.21|06:01:15] 	Iter 40600 Done. | loss: 7.0351 | lr: 0.003897 | tf: 0.318906
[05.06.21|06:02:54] 	Iter 40700 Done. | loss: 8.6863 | lr: 0.003897 | tf: 0.318906
[05.06.21|06:03:44] 	mean_loss: 0.9221131364216066. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:03:44] Time consumption:
[05.06.21|06:03:44] Done.
[05.06.21|06:03:44] Eval epoch: 249
[05.06.21|06:03:45] 	mean_loss: 1.1018834239989463. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:03:45] Done.
[05.06.21|06:03:45] Training epoch: 250
[05.06.21|06:04:36] 	Iter 40800 Done. | loss: 5.4385 | lr: 0.003894 | tf: 0.317311
[05.06.21|06:06:17] 	Iter 40900 Done. | loss: 9.0872 | lr: 0.003894 | tf: 0.317311
[05.06.21|06:06:30] 	mean_loss: 0.8994499400783371. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:06:30] Time consumption:
[05.06.21|06:06:30] Done.
[05.06.21|06:06:30] Eval epoch: 250
[05.06.21|06:06:31] 	mean_loss: 0.9782885907253954. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:06:31] Done.
[05.06.21|06:06:31] Training epoch: 251
[05.06.21|06:07:57] 	Iter 41000 Done. | loss: 5.6786 | lr: 0.003890 | tf: 0.315725
[05.06.21|06:09:11] 	mean_loss: 0.9554698604035335. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:09:11] Time consumption:
[05.06.21|06:09:11] Done.
[05.06.21|06:09:11] Eval epoch: 251
[05.06.21|06:09:12] 	mean_loss: 0.909459964418287. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:09:12] Done.
[05.06.21|06:09:12] Training epoch: 252
[05.06.21|06:09:37] 	Iter 41100 Done. | loss: 7.2645 | lr: 0.003886 | tf: 0.314146
[05.06.21|06:11:17] 	Iter 41200 Done. | loss: 9.3444 | lr: 0.003886 | tf: 0.314146
[05.06.21|06:11:55] 	mean_loss: 0.8963195980797789. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:11:55] Time consumption:
[05.06.21|06:11:55] Done.
[05.06.21|06:11:55] Eval epoch: 252
[05.06.21|06:11:56] 	mean_loss: 1.0369598414233927. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:11:56] Done.
[05.06.21|06:11:56] Training epoch: 253
[05.06.21|06:12:58] 	Iter 41300 Done. | loss: 7.1079 | lr: 0.003882 | tf: 0.312575
[05.06.21|06:14:39] 	Iter 41400 Done. | loss: 7.0910 | lr: 0.003882 | tf: 0.312575
[05.06.21|06:14:39] 	mean_loss: 0.9002833922471875. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:14:39] Time consumption:
[05.06.21|06:14:39] Done.
[05.06.21|06:14:40] Eval epoch: 253
[05.06.21|06:14:41] 	mean_loss: 0.9965861030537948. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:14:41] Done.
[05.06.21|06:14:41] Training epoch: 254
[05.06.21|06:16:21] 	Iter 41500 Done. | loss: 8.6183 | lr: 0.003878 | tf: 0.311012
[05.06.21|06:17:25] 	mean_loss: 0.862748766190693. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:17:25] Time consumption:
[05.06.21|06:17:25] Done.
[05.06.21|06:17:25] Eval epoch: 254
[05.06.21|06:17:26] 	mean_loss: 1.0549890391880965. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:17:26] Done.
[05.06.21|06:17:26] Training epoch: 255
[05.06.21|06:18:02] 	Iter 41600 Done. | loss: 2.8673 | lr: 0.003874 | tf: 0.309457
[05.06.21|06:19:43] 	Iter 41700 Done. | loss: 5.7566 | lr: 0.003874 | tf: 0.309457
[05.06.21|06:20:09] 	mean_loss: 0.9113708869174847. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:20:09] Time consumption:
[05.06.21|06:20:09] Done.
[05.06.21|06:20:09] Eval epoch: 255
[05.06.21|06:20:10] 	mean_loss: 1.0207031266024942. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:20:10] Done.
[05.06.21|06:20:10] Training epoch: 256
[05.06.21|06:21:24] 	Iter 41800 Done. | loss: 5.9967 | lr: 0.003870 | tf: 0.307910
[05.06.21|06:22:55] 	mean_loss: 0.8597885360219575. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:22:55] Time consumption:
[05.06.21|06:22:55] Done.
[05.06.21|06:22:55] Eval epoch: 256
[05.06.21|06:22:56] 	mean_loss: 0.9814456519592346. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:22:56] Done.
[05.06.21|06:22:56] Training epoch: 257
[05.06.21|06:23:06] 	Iter 41900 Done. | loss: 10.1856 | lr: 0.003866 | tf: 0.306371
[05.06.21|06:24:48] 	Iter 42000 Done. | loss: 5.9877 | lr: 0.003866 | tf: 0.306371
[05.06.21|06:25:41] 	mean_loss: 0.8739745453257272. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:25:41] Time consumption:
[05.06.21|06:25:41] Done.
[05.06.21|06:25:41] Eval epoch: 257
[05.06.21|06:25:42] 	mean_loss: 0.9549971347293599. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:25:42] Done.
[05.06.21|06:25:42] Training epoch: 258
[05.06.21|06:26:29] 	Iter 42100 Done. | loss: 9.3196 | lr: 0.003862 | tf: 0.304839
[05.06.21|06:28:07] 	Iter 42200 Done. | loss: 8.7392 | lr: 0.003862 | tf: 0.304839
[05.06.21|06:28:24] 	mean_loss: 0.9168036984312441. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:28:24] Time consumption:
[05.06.21|06:28:24] Done.
[05.06.21|06:28:24] Eval epoch: 258
[05.06.21|06:28:25] 	mean_loss: 0.9103813892319149. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:28:25] Done.
[05.06.21|06:28:25] Training epoch: 259
[05.06.21|06:29:51] 	Iter 42300 Done. | loss: 8.9088 | lr: 0.003859 | tf: 0.303315
[05.06.21|06:31:10] 	mean_loss: 0.8739202916274644. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:31:10] Time consumption:
[05.06.21|06:31:10] Done.
[05.06.21|06:31:10] Eval epoch: 259
[05.06.21|06:31:11] 	mean_loss: 0.8718181261417057. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:31:11] Done.
[05.06.21|06:31:11] Training epoch: 260
[05.06.21|06:31:33] 	Iter 42400 Done. | loss: 5.6509 | lr: 0.003855 | tf: 0.301798
[05.06.21|06:33:11] 	Iter 42500 Done. | loss: 4.1706 | lr: 0.003855 | tf: 0.301798
[05.06.21|06:33:53] 	mean_loss: 0.9170705462889003. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:33:53] Time consumption:
[05.06.21|06:33:53] Done.
[05.06.21|06:33:53] Eval epoch: 260
[05.06.21|06:33:54] 	mean_loss: 1.0057708594464396. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:33:54] Done.
[05.06.21|06:33:54] Training epoch: 261
[05.06.21|06:34:52] 	Iter 42600 Done. | loss: 5.0661 | lr: 0.003851 | tf: 0.300289
[05.06.21|06:36:36] 	Iter 42700 Done. | loss: 5.1600 | lr: 0.003851 | tf: 0.300289
[05.06.21|06:36:40] 	mean_loss: 0.8473580426444963. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:36:40] Time consumption:
[05.06.21|06:36:40] Done.
[05.06.21|06:36:40] Eval epoch: 261
[05.06.21|06:36:42] 	mean_loss: 0.9675451393827131. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:36:42] Done.
[05.06.21|06:36:42] Training epoch: 262
[05.06.21|06:38:17] 	Iter 42800 Done. | loss: 6.7128 | lr: 0.003847 | tf: 0.298788
[05.06.21|06:39:26] 	mean_loss: 0.8997127810551644. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:39:26] Time consumption:
[05.06.21|06:39:26] Done.
[05.06.21|06:39:26] Eval epoch: 262
[05.06.21|06:39:27] 	mean_loss: 0.9501091989427719. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:39:27] Done.
[05.06.21|06:39:27] Training epoch: 263
[05.06.21|06:39:58] 	Iter 42900 Done. | loss: 7.0178 | lr: 0.003843 | tf: 0.297294
[05.06.21|06:41:38] 	Iter 43000 Done. | loss: 6.5196 | lr: 0.003843 | tf: 0.297294
[05.06.21|06:42:09] 	mean_loss: 0.9364391384618057. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:42:09] Time consumption:
[05.06.21|06:42:09] Done.
[05.06.21|06:42:09] Eval epoch: 263
[05.06.21|06:42:10] 	mean_loss: 0.9902304204841625. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:42:10] Done.
[05.06.21|06:42:10] Training epoch: 264
[05.06.21|06:43:19] 	Iter 43100 Done. | loss: 7.0961 | lr: 0.003839 | tf: 0.295807
[05.06.21|06:44:52] 	mean_loss: 0.8961260689665493. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:44:52] Time consumption:
[05.06.21|06:44:52] Done.
[05.06.21|06:44:52] Eval epoch: 264
[05.06.21|06:44:54] 	mean_loss: 0.8792895105737951. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:44:54] Done.
[05.06.21|06:44:54] Training epoch: 265
[05.06.21|06:44:59] 	Iter 43200 Done. | loss: 8.4156 | lr: 0.003836 | tf: 0.294328
[05.06.21|06:46:41] 	Iter 43300 Done. | loss: 9.0058 | lr: 0.003836 | tf: 0.294328
[05.06.21|06:47:39] 	mean_loss: 0.8534584138713622. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:47:39] Time consumption:
[05.06.21|06:47:39] Done.
[05.06.21|06:47:39] Eval epoch: 265
[05.06.21|06:47:40] 	mean_loss: 0.9326439202628297. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:47:40] Done.
[05.06.21|06:47:40] Training epoch: 266
[05.06.21|06:48:24] 	Iter 43400 Done. | loss: 8.9325 | lr: 0.003832 | tf: 0.292856
[05.06.21|06:50:06] 	Iter 43500 Done. | loss: 2.2445 | lr: 0.003832 | tf: 0.292856
[05.06.21|06:50:27] 	mean_loss: 0.8365617781140284. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:50:27] Time consumption:
[05.06.21|06:50:27] Done.
[05.06.21|06:50:27] Eval epoch: 266
[05.06.21|06:50:28] 	mean_loss: 0.8888894202305624. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:50:28] Done.
[05.06.21|06:50:28] Training epoch: 267
[05.06.21|06:51:49] 	Iter 43600 Done. | loss: 2.9312 | lr: 0.003828 | tf: 0.291392
[05.06.21|06:53:12] 	mean_loss: 0.8889831349408319. Best so far: 0.8009217801473337 (epoch: 247).
[05.06.21|06:53:12] Time consumption:
[05.06.21|06:53:12] Done.
[05.06.21|06:53:12] Eval epoch: 267
[05.06.21|06:53:13] 	mean_loss: 0.7497095388433154. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|06:53:13] Done.
[05.06.21|06:53:14] Training epoch: 268
[05.06.21|06:53:30] 	Iter 43700 Done. | loss: 7.1427 | lr: 0.003824 | tf: 0.289935
[05.06.21|06:55:10] 	Iter 43800 Done. | loss: 7.6170 | lr: 0.003824 | tf: 0.289935
[05.06.21|06:55:56] 	mean_loss: 0.8857824713734512. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|06:55:56] Time consumption:
[05.06.21|06:55:56] Done.
[05.06.21|06:55:56] Eval epoch: 268
[05.06.21|06:55:57] 	mean_loss: 0.940158385392965. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|06:55:57] Done.
[05.06.21|06:55:57] Training epoch: 269
[05.06.21|06:56:50] 	Iter 43900 Done. | loss: 5.9258 | lr: 0.003820 | tf: 0.288486
[05.06.21|06:58:31] 	Iter 44000 Done. | loss: 5.9345 | lr: 0.003820 | tf: 0.288486
[05.06.21|06:58:40] 	mean_loss: 0.8861756970131116. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|06:58:40] Time consumption:
[05.06.21|06:58:40] Done.
[05.06.21|06:58:40] Eval epoch: 269
[05.06.21|06:58:41] 	mean_loss: 0.9160303930139083. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|06:58:41] Done.
[05.06.21|06:58:41] Training epoch: 270
[05.06.21|07:00:13] 	Iter 44100 Done. | loss: 4.6458 | lr: 0.003816 | tf: 0.287043
[05.06.21|07:01:26] 	mean_loss: 0.8638774399503183. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:01:26] Time consumption:
[05.06.21|07:01:26] Done.
[05.06.21|07:01:26] Eval epoch: 270
[05.06.21|07:01:27] 	mean_loss: 0.8437953909891688. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:01:27] Done.
[05.06.21|07:01:27] Training epoch: 271
[05.06.21|07:01:57] 	Iter 44200 Done. | loss: 7.1537 | lr: 0.003813 | tf: 0.285608
[05.06.21|07:03:35] 	Iter 44300 Done. | loss: 8.5611 | lr: 0.003813 | tf: 0.285608
[05.06.21|07:04:12] 	mean_loss: 0.8677833502769882. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:04:12] Time consumption:
[05.06.21|07:04:12] Done.
[05.06.21|07:04:12] Eval epoch: 271
[05.06.21|07:04:13] 	mean_loss: 0.8820581899543132. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:04:13] Done.
[05.06.21|07:04:13] Training epoch: 272
[05.06.21|07:05:20] 	Iter 44400 Done. | loss: 5.5236 | lr: 0.003809 | tf: 0.284180
[05.06.21|07:06:58] 	mean_loss: 0.8899132922317083. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:06:58] Time consumption:
[05.06.21|07:06:58] Done.
[05.06.21|07:06:58] Eval epoch: 272
[05.06.21|07:06:59] 	mean_loss: 0.8459530155408835. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:06:59] Done.
[05.06.21|07:06:59] Training epoch: 273
[05.06.21|07:07:01] 	Iter 44500 Done. | loss: 6.2633 | lr: 0.003805 | tf: 0.282759
[05.06.21|07:08:41] 	Iter 44600 Done. | loss: 7.2260 | lr: 0.003805 | tf: 0.282759
[05.06.21|07:09:41] 	mean_loss: 0.8976335400960606. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:09:41] Time consumption:
[05.06.21|07:09:41] Done.
[05.06.21|07:09:41] Eval epoch: 273
[05.06.21|07:09:42] 	mean_loss: 0.8316621818579968. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:09:42] Done.
[05.06.21|07:09:42] Training epoch: 274
[05.06.21|07:10:21] 	Iter 44700 Done. | loss: 7.1843 | lr: 0.003801 | tf: 0.281345
[05.06.21|07:12:02] 	Iter 44800 Done. | loss: 6.4379 | lr: 0.003801 | tf: 0.281345
[05.06.21|07:12:26] 	mean_loss: 0.8692060711376434. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:12:26] Time consumption:
[05.06.21|07:12:26] Done.
[05.06.21|07:12:26] Eval epoch: 274
[05.06.21|07:12:27] 	mean_loss: 0.8171386246465826. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:12:27] Done.
[05.06.21|07:12:27] Training epoch: 275
[05.06.21|07:13:47] 	Iter 44900 Done. | loss: 6.0294 | lr: 0.003797 | tf: 0.279938
[05.06.21|07:15:12] 	mean_loss: 0.8632502644266581. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:15:12] Time consumption:
[05.06.21|07:15:12] Done.
[05.06.21|07:15:12] Eval epoch: 275
[05.06.21|07:15:13] 	mean_loss: 0.8475108641928694. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:15:13] Done.
[05.06.21|07:15:13] Training epoch: 276
[05.06.21|07:15:27] 	Iter 45000 Done. | loss: 3.9011 | lr: 0.003794 | tf: 0.278539
[05.06.21|07:17:11] 	Iter 45100 Done. | loss: 10.2481 | lr: 0.003794 | tf: 0.278539
[05.06.21|07:18:01] 	mean_loss: 0.8478558790030218. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:18:01] Time consumption:
[05.06.21|07:18:01] Done.
[05.06.21|07:18:01] Eval epoch: 276
[05.06.21|07:18:02] 	mean_loss: 0.9695229495442408. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:18:02] Done.
[05.06.21|07:18:02] Training epoch: 277
[05.06.21|07:18:52] 	Iter 45200 Done. | loss: 5.9771 | lr: 0.003790 | tf: 0.277146
[05.06.21|07:20:30] 	Iter 45300 Done. | loss: 6.3503 | lr: 0.003790 | tf: 0.277146
[05.06.21|07:20:43] 	mean_loss: 0.9138195469190937. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:20:43] Time consumption:
[05.06.21|07:20:43] Done.
[05.06.21|07:20:43] Eval epoch: 277
[05.06.21|07:20:44] 	mean_loss: 0.8293286846435283. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:20:44] Done.
[05.06.21|07:20:44] Training epoch: 278
[05.06.21|07:22:11] 	Iter 45400 Done. | loss: 5.4988 | lr: 0.003786 | tf: 0.275760
[05.06.21|07:23:28] 	mean_loss: 0.8869402645859442. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:23:28] Time consumption:
[05.06.21|07:23:28] Done.
[05.06.21|07:23:28] Eval epoch: 278
[05.06.21|07:23:29] 	mean_loss: 0.9211281378271372. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:23:29] Done.
[05.06.21|07:23:29] Training epoch: 279
[05.06.21|07:23:53] 	Iter 45500 Done. | loss: 2.6305 | lr: 0.003782 | tf: 0.274382
[05.06.21|07:25:33] 	Iter 45600 Done. | loss: 7.0201 | lr: 0.003782 | tf: 0.274382
[05.06.21|07:26:12] 	mean_loss: 0.8713963837849854. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:26:12] Time consumption:
[05.06.21|07:26:12] Done.
[05.06.21|07:26:12] Eval epoch: 279
[05.06.21|07:26:13] 	mean_loss: 0.9429794578339655. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:26:13] Done.
[05.06.21|07:26:13] Training epoch: 280
[05.06.21|07:27:13] 	Iter 45700 Done. | loss: 10.2131 | lr: 0.003778 | tf: 0.273010
[05.06.21|07:28:54] 	Iter 45800 Done. | loss: 15.4527 | lr: 0.003778 | tf: 0.273010
[05.06.21|07:28:56] 	mean_loss: 0.9004246433333964. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:28:56] Time consumption:
[05.06.21|07:28:56] Done.
[05.06.21|07:28:56] Eval epoch: 280
[05.06.21|07:28:57] 	mean_loss: 0.9759814938974762. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:28:57] Done.
[05.06.21|07:28:57] Training epoch: 281
[05.06.21|07:30:36] 	Iter 45900 Done. | loss: 7.3063 | lr: 0.003775 | tf: 0.271645
[05.06.21|07:31:42] 	mean_loss: 0.8735064543551354. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:31:42] Time consumption:
[05.06.21|07:31:42] Done.
[05.06.21|07:31:42] Eval epoch: 281
[05.06.21|07:31:43] 	mean_loss: 0.9601933139426453. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:31:43] Done.
[05.06.21|07:31:43] Training epoch: 282
[05.06.21|07:32:19] 	Iter 46000 Done. | loss: 6.0352 | lr: 0.003771 | tf: 0.270286
[05.06.21|07:34:00] 	Iter 46100 Done. | loss: 6.9159 | lr: 0.003771 | tf: 0.270286
[05.06.21|07:34:28] 	mean_loss: 0.872659368189549. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:34:28] Time consumption:
[05.06.21|07:34:28] Done.
[05.06.21|07:34:28] Eval epoch: 282
[05.06.21|07:34:29] 	mean_loss: 0.9657487028052927. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:34:29] Done.
[05.06.21|07:34:29] Training epoch: 283
[05.06.21|07:35:41] 	Iter 46200 Done. | loss: 9.6763 | lr: 0.003767 | tf: 0.268935
[05.06.21|07:37:12] 	mean_loss: 0.8937653441305969. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:37:12] Time consumption:
[05.06.21|07:37:12] Done.
[05.06.21|07:37:12] Eval epoch: 283
[05.06.21|07:37:13] 	mean_loss: 0.9248694233123098. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:37:13] Done.
[05.06.21|07:37:13] Training epoch: 284
[05.06.21|07:37:22] 	Iter 46300 Done. | loss: 7.6937 | lr: 0.003763 | tf: 0.267590
[05.06.21|07:39:01] 	Iter 46400 Done. | loss: 7.0444 | lr: 0.003763 | tf: 0.267590
[05.06.21|07:39:55] 	mean_loss: 0.902295085970258. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:39:55] Time consumption:
[05.06.21|07:39:55] Done.
[05.06.21|07:39:55] Eval epoch: 284
[05.06.21|07:39:56] 	mean_loss: 0.9236011765447328. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:39:56] Done.
[05.06.21|07:39:56] Training epoch: 285
[05.06.21|07:40:41] 	Iter 46500 Done. | loss: 8.9033 | lr: 0.003760 | tf: 0.266252
[05.06.21|07:42:22] 	Iter 46600 Done. | loss: 10.5588 | lr: 0.003760 | tf: 0.266252
[05.06.21|07:42:38] 	mean_loss: 0.895685017429587. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:42:38] Time consumption:
[05.06.21|07:42:38] Done.
[05.06.21|07:42:38] Eval epoch: 285
[05.06.21|07:42:39] 	mean_loss: 0.9338435970919543. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:42:39] Done.
[05.06.21|07:42:39] Training epoch: 286
[05.06.21|07:44:02] 	Iter 46700 Done. | loss: 3.9511 | lr: 0.003756 | tf: 0.264921
[05.06.21|07:45:23] 	mean_loss: 0.8962013594465639. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:45:23] Time consumption:
[05.06.21|07:45:23] Done.
[05.06.21|07:45:23] Eval epoch: 286
[05.06.21|07:45:24] 	mean_loss: 0.8640430226395885. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:45:24] Done.
[05.06.21|07:45:24] Training epoch: 287
[05.06.21|07:45:44] 	Iter 46800 Done. | loss: 5.3897 | lr: 0.003752 | tf: 0.263596
[05.06.21|07:47:23] 	Iter 46900 Done. | loss: 2.3260 | lr: 0.003752 | tf: 0.263596
[05.06.21|07:48:07] 	mean_loss: 0.8981623064981346. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:48:07] Time consumption:
[05.06.21|07:48:07] Done.
[05.06.21|07:48:07] Eval epoch: 287
[05.06.21|07:48:08] 	mean_loss: 0.9897940801266826. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:48:08] Done.
[05.06.21|07:48:08] Training epoch: 288
[05.06.21|07:49:06] 	Iter 47000 Done. | loss: 8.8525 | lr: 0.003748 | tf: 0.262278
[05.06.21|07:50:45] 	Iter 47100 Done. | loss: 5.3511 | lr: 0.003748 | tf: 0.262278
[05.06.21|07:50:52] 	mean_loss: 0.8931138744651603. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:50:52] Time consumption:
[05.06.21|07:50:52] Done.
[05.06.21|07:50:52] Eval epoch: 288
[05.06.21|07:50:53] 	mean_loss: 0.8568431085351925. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:50:53] Done.
[05.06.21|07:50:53] Training epoch: 289
[05.06.21|07:52:27] 	Iter 47200 Done. | loss: 2.6361 | lr: 0.003745 | tf: 0.260967
[05.06.21|07:53:37] 	mean_loss: 0.879103985905775. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:53:37] Time consumption:
[05.06.21|07:53:37] Done.
[05.06.21|07:53:37] Eval epoch: 289
[05.06.21|07:53:38] 	mean_loss: 0.8996109145625634. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:53:38] Done.
[05.06.21|07:53:38] Training epoch: 290
[05.06.21|07:54:09] 	Iter 47300 Done. | loss: 8.9236 | lr: 0.003741 | tf: 0.259662
[05.06.21|07:55:49] 	Iter 47400 Done. | loss: 5.4960 | lr: 0.003741 | tf: 0.259662
[05.06.21|07:56:20] 	mean_loss: 0.886823849443314. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:56:20] Time consumption:
[05.06.21|07:56:20] Done.
[05.06.21|07:56:20] Eval epoch: 290
[05.06.21|07:56:21] 	mean_loss: 0.9797601228685409. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:56:21] Done.
[05.06.21|07:56:22] Training epoch: 291
[05.06.21|07:57:29] 	Iter 47500 Done. | loss: 2.6378 | lr: 0.003737 | tf: 0.258364
[05.06.21|07:59:06] 	mean_loss: 0.8648427968612906. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:59:06] Time consumption:
[05.06.21|07:59:06] Done.
[05.06.21|07:59:06] Eval epoch: 291
[05.06.21|07:59:07] 	mean_loss: 0.8511802328153333. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|07:59:07] Done.
[05.06.21|07:59:07] Training epoch: 292
[05.06.21|07:59:12] 	Iter 47600 Done. | loss: 1.5607 | lr: 0.003733 | tf: 0.257072
[05.06.21|08:00:51] 	Iter 47700 Done. | loss: 6.0649 | lr: 0.003733 | tf: 0.257072
[05.06.21|08:01:50] 	mean_loss: 0.9128377601085736. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:01:50] Time consumption:
[05.06.21|08:01:50] Done.
[05.06.21|08:01:50] Eval epoch: 292
[05.06.21|08:01:51] 	mean_loss: 0.8452135837743341. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:01:51] Done.
[05.06.21|08:01:51] Training epoch: 293
[05.06.21|08:02:33] 	Iter 47800 Done. | loss: 7.2433 | lr: 0.003730 | tf: 0.255787
[05.06.21|08:04:14] 	Iter 47900 Done. | loss: 7.8923 | lr: 0.003730 | tf: 0.255787
[05.06.21|08:04:36] 	mean_loss: 0.9036621298310428. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:04:36] Time consumption:
[05.06.21|08:04:36] Done.
[05.06.21|08:04:36] Eval epoch: 293
[05.06.21|08:04:37] 	mean_loss: 0.8459357531833432. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:04:37] Done.
[05.06.21|08:04:37] Training epoch: 294
[05.06.21|08:05:56] 	Iter 48000 Done. | loss: 7.4032 | lr: 0.003726 | tf: 0.254508
[05.06.21|08:07:22] 	mean_loss: 0.8914137797020595. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:07:22] Time consumption:
[05.06.21|08:07:22] Done.
[05.06.21|08:07:22] Eval epoch: 294
[05.06.21|08:07:23] 	mean_loss: 0.8512759864652812. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:07:23] Done.
[05.06.21|08:07:23] Training epoch: 295
[05.06.21|08:07:40] 	Iter 48100 Done. | loss: 6.0758 | lr: 0.003722 | tf: 0.253235
[05.06.21|08:09:21] 	Iter 48200 Done. | loss: 7.1061 | lr: 0.003722 | tf: 0.253235
[05.06.21|08:10:09] 	mean_loss: 0.8610168509241464. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:10:09] Time consumption:
[05.06.21|08:10:09] Done.
[05.06.21|08:10:09] Eval epoch: 295
[05.06.21|08:10:10] 	mean_loss: 0.8852395014943277. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:10:10] Done.
[05.06.21|08:10:10] Training epoch: 296
[05.06.21|08:11:04] 	Iter 48300 Done. | loss: 10.2713 | lr: 0.003718 | tf: 0.251969
[05.06.21|08:12:41] 	Iter 48400 Done. | loss: 7.0614 | lr: 0.003718 | tf: 0.251969
[05.06.21|08:12:51] 	mean_loss: 0.9253613954800008. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:12:51] Time consumption:
[05.06.21|08:12:51] Done.
[05.06.21|08:12:51] Eval epoch: 296
[05.06.21|08:12:53] 	mean_loss: 0.8810120227861996. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:12:53] Done.
[05.06.21|08:12:53] Training epoch: 297
[05.06.21|08:14:22] 	Iter 48500 Done. | loss: 8.9001 | lr: 0.003715 | tf: 0.250709
[05.06.21|08:15:33] 	mean_loss: 0.9345883828353385. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:15:33] Time consumption:
[05.06.21|08:15:33] Done.
[05.06.21|08:15:33] Eval epoch: 297
[05.06.21|08:15:34] 	mean_loss: 0.8830786557285709. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:15:34] Done.
[05.06.21|08:15:34] Training epoch: 298
[05.06.21|08:16:01] 	Iter 48600 Done. | loss: 7.6282 | lr: 0.003711 | tf: 0.249456
[05.06.21|08:17:40] 	Iter 48700 Done. | loss: 1.9707 | lr: 0.003711 | tf: 0.249456
[05.06.21|08:18:17] 	mean_loss: 0.907333649032449. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:18:17] Time consumption:
[05.06.21|08:18:17] Done.
[05.06.21|08:18:17] Eval epoch: 298
[05.06.21|08:18:18] 	mean_loss: 0.7612983242685468. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:18:18] Done.
[05.06.21|08:18:18] Training epoch: 299
[05.06.21|08:19:22] 	Iter 48800 Done. | loss: 9.0924 | lr: 0.003707 | tf: 0.248208
[05.06.21|08:21:02] 	mean_loss: 0.8984678923212582. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:21:02] Time consumption:
[05.06.21|08:21:02] Done.
[05.06.21|08:21:02] Eval epoch: 299
[05.06.21|08:21:03] 	mean_loss: 0.9411817501027997. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:21:03] Done.
[05.06.21|08:21:03] Training epoch: 300
[05.06.21|08:21:04] 	Iter 48900 Done. | loss: 5.9745 | lr: 0.003704 | tf: 0.246967
[05.06.21|08:22:44] 	Iter 49000 Done. | loss: 8.7496 | lr: 0.003704 | tf: 0.246967
[05.06.21|08:23:46] 	mean_loss: 0.8920388981069848. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:23:46] Time consumption:
[05.06.21|08:23:46] Done.
[05.06.21|08:23:46] Eval epoch: 300
[05.06.21|08:23:47] 	mean_loss: 0.8922989784995794. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:23:47] Done.
[05.06.21|08:23:47] Training epoch: 301
[05.06.21|08:24:25] 	Iter 49100 Done. | loss: 7.4142 | lr: 0.003700 | tf: 0.245733
[05.06.21|08:26:07] 	Iter 49200 Done. | loss: 6.1009 | lr: 0.003700 | tf: 0.245733
[05.06.21|08:26:32] 	mean_loss: 0.87308692796867. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:26:32] Time consumption:
[05.06.21|08:26:32] Done.
[05.06.21|08:26:32] Eval epoch: 301
[05.06.21|08:26:33] 	mean_loss: 0.9420757644354608. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:26:33] Done.
[05.06.21|08:26:33] Training epoch: 302
[05.06.21|08:27:50] 	Iter 49300 Done. | loss: 8.8677 | lr: 0.003696 | tf: 0.244504
[05.06.21|08:29:17] 	mean_loss: 0.8753382571612689. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:29:17] Time consumption:
[05.06.21|08:29:17] Done.
[05.06.21|08:29:17] Eval epoch: 302
[05.06.21|08:29:18] 	mean_loss: 0.883733470995824. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:29:18] Done.
[05.06.21|08:29:18] Training epoch: 303
[05.06.21|08:29:31] 	Iter 49400 Done. | loss: 7.1855 | lr: 0.003692 | tf: 0.243281
[05.06.21|08:31:10] 	Iter 49500 Done. | loss: 7.1490 | lr: 0.003692 | tf: 0.243281
[05.06.21|08:32:02] 	mean_loss: 0.8839219003760245. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:32:02] Time consumption:
[05.06.21|08:32:02] Done.
[05.06.21|08:32:02] Eval epoch: 303
[05.06.21|08:32:03] 	mean_loss: 0.9373779103560217. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:32:03] Done.
[05.06.21|08:32:03] Training epoch: 304
[05.06.21|08:32:51] 	Iter 49600 Done. | loss: 8.8433 | lr: 0.003689 | tf: 0.242065
[05.06.21|08:34:30] 	Iter 49700 Done. | loss: 9.0107 | lr: 0.003689 | tf: 0.242065
[05.06.21|08:34:44] 	mean_loss: 0.9244646755425098. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:34:44] Time consumption:
[05.06.21|08:34:44] Done.
[05.06.21|08:34:44] Eval epoch: 304
[05.06.21|08:34:45] 	mean_loss: 0.8605943317680083. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:34:45] Done.
[05.06.21|08:34:45] Training epoch: 305
[05.06.21|08:36:14] 	Iter 49800 Done. | loss: 8.5165 | lr: 0.003685 | tf: 0.240855
[05.06.21|08:37:33] 	mean_loss: 0.8411988833528253. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:37:33] Time consumption:
[05.06.21|08:37:33] Done.
[05.06.21|08:37:33] Eval epoch: 305
[05.06.21|08:37:34] 	mean_loss: 0.885397899114922. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:37:34] Done.
[05.06.21|08:37:34] Training epoch: 306
[05.06.21|08:37:57] 	Iter 49900 Done. | loss: 2.5738 | lr: 0.003681 | tf: 0.239650
[05.06.21|08:39:39] 	Iter 50000 Done. | loss: 8.8831 | lr: 0.003681 | tf: 0.239650
[05.06.21|08:40:21] 	mean_loss: 0.8658276524090271. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:40:21] Time consumption:
[05.06.21|08:40:21] Done.
[05.06.21|08:40:21] Eval epoch: 306
[05.06.21|08:40:22] 	mean_loss: 0.8152626285658455. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:40:22] Done.
[05.06.21|08:40:22] Training epoch: 307
[05.06.21|08:41:21] 	Iter 50100 Done. | loss: 8.7144 | lr: 0.003678 | tf: 0.238452
[05.06.21|08:43:01] 	Iter 50200 Done. | loss: 8.5806 | lr: 0.003678 | tf: 0.238452
[05.06.21|08:43:04] 	mean_loss: 0.9025697840781701. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:43:04] Time consumption:
[05.06.21|08:43:04] Done.
[05.06.21|08:43:04] Eval epoch: 307
[05.06.21|08:43:05] 	mean_loss: 0.88113797716985. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:43:05] Done.
[05.06.21|08:43:05] Training epoch: 308
[05.06.21|08:44:44] 	Iter 50300 Done. | loss: 2.6665 | lr: 0.003674 | tf: 0.237260
[05.06.21|08:45:50] 	mean_loss: 0.8653774682278618. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:45:50] Time consumption:
[05.06.21|08:45:50] Done.
[05.06.21|08:45:50] Eval epoch: 308
[05.06.21|08:45:51] 	mean_loss: 0.9591665633524318. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:45:51] Done.
[05.06.21|08:45:51] Training epoch: 309
[05.06.21|08:46:26] 	Iter 50400 Done. | loss: 6.0607 | lr: 0.003670 | tf: 0.236074
[05.06.21|08:48:06] 	Iter 50500 Done. | loss: 4.0229 | lr: 0.003670 | tf: 0.236074
[05.06.21|08:48:36] 	mean_loss: 0.8663410272287907. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:48:36] Time consumption:
[05.06.21|08:48:36] Done.
[05.06.21|08:48:36] Eval epoch: 309
[05.06.21|08:48:37] 	mean_loss: 0.9500824106182979. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:48:37] Done.
[05.06.21|08:48:37] Training epoch: 310
[05.06.21|08:49:48] 	Iter 50600 Done. | loss: 9.1308 | lr: 0.003667 | tf: 0.234893
[05.06.21|08:51:20] 	mean_loss: 0.8837168425861587. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:51:20] Time consumption:
[05.06.21|08:51:20] Done.
[05.06.21|08:51:20] Eval epoch: 310
[05.06.21|08:51:21] 	mean_loss: 0.9247350993760046. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:51:21] Done.
[05.06.21|08:51:22] Training epoch: 311
[05.06.21|08:51:30] 	Iter 50700 Done. | loss: 4.2874 | lr: 0.003663 | tf: 0.233719
[05.06.21|08:53:12] 	Iter 50800 Done. | loss: 10.3444 | lr: 0.003663 | tf: 0.233719
[05.06.21|08:54:09] 	mean_loss: 0.8780267996208307. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:54:09] Time consumption:
[05.06.21|08:54:09] Done.
[05.06.21|08:54:09] Eval epoch: 311
[05.06.21|08:54:10] 	mean_loss: 0.9565069842001996. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:54:10] Done.
[05.06.21|08:54:10] Training epoch: 312
[05.06.21|08:54:54] 	Iter 50900 Done. | loss: 8.4818 | lr: 0.003659 | tf: 0.232550
[05.06.21|08:56:36] 	Iter 51000 Done. | loss: 6.4361 | lr: 0.003659 | tf: 0.232550
[05.06.21|08:56:53] 	mean_loss: 0.8913602204160902. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:56:53] Time consumption:
[05.06.21|08:56:53] Done.
[05.06.21|08:56:53] Eval epoch: 312
[05.06.21|08:56:54] 	mean_loss: 0.8603268203743708. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:56:54] Done.
[05.06.21|08:56:54] Training epoch: 313
[05.06.21|08:58:18] 	Iter 51100 Done. | loss: 9.5625 | lr: 0.003656 | tf: 0.231387
[05.06.21|08:59:40] 	mean_loss: 0.8429014786315973. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:59:40] Time consumption:
[05.06.21|08:59:40] Done.
[05.06.21|08:59:40] Eval epoch: 313
[05.06.21|08:59:41] 	mean_loss: 0.9018073435009628. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|08:59:41] Done.
[05.06.21|08:59:41] Training epoch: 314
[05.06.21|09:00:00] 	Iter 51200 Done. | loss: 8.9498 | lr: 0.003652 | tf: 0.230230
[05.06.21|09:01:40] 	Iter 51300 Done. | loss: 8.3588 | lr: 0.003652 | tf: 0.230230
[05.06.21|09:02:25] 	mean_loss: 0.8827238935335388. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:02:25] Time consumption:
[05.06.21|09:02:25] Done.
[05.06.21|09:02:25] Eval epoch: 314
[05.06.21|09:02:26] 	mean_loss: 0.8669677623534386. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:02:26] Done.
[05.06.21|09:02:26] Training epoch: 315
[05.06.21|09:03:22] 	Iter 51400 Done. | loss: 8.7273 | lr: 0.003648 | tf: 0.229079
[05.06.21|09:05:03] 	Iter 51500 Done. | loss: 5.5471 | lr: 0.003648 | tf: 0.229079
[05.06.21|09:05:10] 	mean_loss: 0.8514998770621827. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:05:10] Time consumption:
[05.06.21|09:05:10] Done.
[05.06.21|09:05:10] Eval epoch: 315
[05.06.21|09:05:11] 	mean_loss: 0.938310291014548. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:05:11] Done.
[05.06.21|09:05:11] Training epoch: 316
[05.06.21|09:06:47] 	Iter 51600 Done. | loss: 8.5605 | lr: 0.003645 | tf: 0.227934
[05.06.21|09:07:58] 	mean_loss: 0.848136058034138. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:07:58] Time consumption:
[05.06.21|09:07:58] Done.
[05.06.21|09:07:58] Eval epoch: 316
[05.06.21|09:08:00] 	mean_loss: 0.9363151218361586. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:08:00] Done.
[05.06.21|09:08:00] Training epoch: 317
[05.06.21|09:08:30] 	Iter 51700 Done. | loss: 7.6596 | lr: 0.003641 | tf: 0.226794
[05.06.21|09:10:11] 	Iter 51800 Done. | loss: 5.9552 | lr: 0.003641 | tf: 0.226794
[05.06.21|09:10:44] 	mean_loss: 0.873205042045029. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:10:44] Time consumption:
[05.06.21|09:10:44] Done.
[05.06.21|09:10:44] Eval epoch: 317
[05.06.21|09:10:45] 	mean_loss: 1.0221214154225746. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:10:45] Done.
[05.06.21|09:10:45] Training epoch: 318
[05.06.21|09:11:54] 	Iter 51900 Done. | loss: 5.8467 | lr: 0.003637 | tf: 0.225660
[05.06.21|09:13:35] 	mean_loss: 0.8015417117234122. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:13:35] Time consumption:
[05.06.21|09:13:35] Done.
[05.06.21|09:13:35] Eval epoch: 318
[05.06.21|09:13:36] 	mean_loss: 0.8755606488558619. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:13:36] Done.
[05.06.21|09:13:36] Training epoch: 319
[05.06.21|09:13:40] 	Iter 52000 Done. | loss: 7.2308 | lr: 0.003634 | tf: 0.224532
[05.06.21|09:15:21] 	Iter 52100 Done. | loss: 6.2688 | lr: 0.003634 | tf: 0.224532
[05.06.21|09:16:20] 	mean_loss: 0.9123842664423573. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:16:20] Time consumption:
[05.06.21|09:16:20] Done.
[05.06.21|09:16:20] Eval epoch: 319
[05.06.21|09:16:21] 	mean_loss: 0.9371262499861815. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:16:21] Done.
[05.06.21|09:16:21] Training epoch: 320
[05.06.21|09:17:01] 	Iter 52200 Done. | loss: 5.9270 | lr: 0.003630 | tf: 0.223409
[05.06.21|09:18:43] 	Iter 52300 Done. | loss: 10.4676 | lr: 0.003630 | tf: 0.223409
[05.06.21|09:19:04] 	mean_loss: 0.8887724677637763. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:19:04] Time consumption:
[05.06.21|09:19:04] Done.
[05.06.21|09:19:04] Eval epoch: 320
[05.06.21|09:19:05] 	mean_loss: 0.8596104422504917. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:19:05] Done.
[05.06.21|09:19:05] Training epoch: 321
[05.06.21|09:20:22] 	Iter 52400 Done. | loss: 5.9780 | lr: 0.003627 | tf: 0.222292
[05.06.21|09:21:46] 	mean_loss: 0.9141958423681792. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:21:46] Time consumption:
[05.06.21|09:21:46] Done.
[05.06.21|09:21:46] Eval epoch: 321
[05.06.21|09:21:47] 	mean_loss: 0.8807629643185438. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:21:47] Done.
[05.06.21|09:21:47] Training epoch: 322
[05.06.21|09:22:02] 	Iter 52500 Done. | loss: 5.7412 | lr: 0.003623 | tf: 0.221181
[05.06.21|09:23:44] 	Iter 52600 Done. | loss: 2.4538 | lr: 0.003623 | tf: 0.221181
[05.06.21|09:24:31] 	mean_loss: 0.8589460184229478. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:24:31] Time consumption:
[05.06.21|09:24:31] Done.
[05.06.21|09:24:31] Eval epoch: 322
[05.06.21|09:24:32] 	mean_loss: 0.9360896044227629. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:24:32] Done.
[05.06.21|09:24:32] Training epoch: 323
[05.06.21|09:25:25] 	Iter 52700 Done. | loss: 7.5524 | lr: 0.003619 | tf: 0.220075
[05.06.21|09:27:05] 	Iter 52800 Done. | loss: 4.9996 | lr: 0.003619 | tf: 0.220075
[05.06.21|09:27:17] 	mean_loss: 0.8819430518563822. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:27:17] Time consumption:
[05.06.21|09:27:17] Done.
[05.06.21|09:27:17] Eval epoch: 323
[05.06.21|09:27:18] 	mean_loss: 0.9204003072092597. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:27:18] Done.
[05.06.21|09:27:18] Training epoch: 324
[05.06.21|09:28:47] 	Iter 52900 Done. | loss: 1.9924 | lr: 0.003616 | tf: 0.218974
[05.06.21|09:30:00] 	mean_loss: 0.9153308869143778. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:30:00] Time consumption:
[05.06.21|09:30:00] Done.
[05.06.21|09:30:00] Eval epoch: 324
[05.06.21|09:30:01] 	mean_loss: 0.9061449116530733. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:30:01] Done.
[05.06.21|09:30:01] Training epoch: 325
[05.06.21|09:30:26] 	Iter 53000 Done. | loss: 8.7534 | lr: 0.003612 | tf: 0.217880
[05.06.21|09:32:07] 	Iter 53100 Done. | loss: 5.8524 | lr: 0.003612 | tf: 0.217880
[05.06.21|09:32:43] 	mean_loss: 0.9207706737495533. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:32:43] Time consumption:
[05.06.21|09:32:43] Done.
[05.06.21|09:32:43] Eval epoch: 325
[05.06.21|09:32:44] 	mean_loss: 0.947895842277881. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:32:44] Done.
[05.06.21|09:32:44] Training epoch: 326
[05.06.21|09:33:47] 	Iter 53200 Done. | loss: 2.4603 | lr: 0.003608 | tf: 0.216790
[05.06.21|09:35:27] 	Iter 53300 Done. | loss: 8.9724 | lr: 0.003608 | tf: 0.216790
[05.06.21|09:35:27] 	mean_loss: 0.8933037625619255. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:35:27] Time consumption:
[05.06.21|09:35:27] Done.
[05.06.21|09:35:27] Eval epoch: 326
[05.06.21|09:35:28] 	mean_loss: 0.9557269331607393. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:35:28] Done.
[05.06.21|09:35:28] Training epoch: 327
[05.06.21|09:37:09] 	Iter 53400 Done. | loss: 5.6709 | lr: 0.003605 | tf: 0.215706
[05.06.21|09:38:13] 	mean_loss: 0.8966768100091322. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:38:13] Time consumption:
[05.06.21|09:38:13] Done.
[05.06.21|09:38:13] Eval epoch: 327
[05.06.21|09:38:14] 	mean_loss: 0.903002081565149. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:38:14] Done.
[05.06.21|09:38:14] Training epoch: 328
[05.06.21|09:38:52] 	Iter 53500 Done. | loss: 15.7375 | lr: 0.003601 | tf: 0.214628
[05.06.21|09:40:32] 	Iter 53600 Done. | loss: 8.6401 | lr: 0.003601 | tf: 0.214628
[05.06.21|09:40:58] 	mean_loss: 0.8847383613720223. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:40:58] Time consumption:
[05.06.21|09:40:58] Done.
[05.06.21|09:40:58] Eval epoch: 328
[05.06.21|09:40:59] 	mean_loss: 0.8097031962964896. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:40:59] Done.
[05.06.21|09:40:59] Training epoch: 329
[05.06.21|09:42:12] 	Iter 53700 Done. | loss: 7.2937 | lr: 0.003598 | tf: 0.213555
[05.06.21|09:43:41] 	mean_loss: 0.9014738025277658. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:43:41] Time consumption:
[05.06.21|09:43:41] Done.
[05.06.21|09:43:41] Eval epoch: 329
[05.06.21|09:43:42] 	mean_loss: 0.8993267970628087. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:43:42] Done.
[05.06.21|09:43:42] Training epoch: 330
[05.06.21|09:43:53] 	Iter 53800 Done. | loss: 7.3017 | lr: 0.003594 | tf: 0.212487
[05.06.21|09:45:33] 	Iter 53900 Done. | loss: 5.6003 | lr: 0.003594 | tf: 0.212487
[05.06.21|09:46:26] 	mean_loss: 0.8764294350788332. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:46:26] Time consumption:
[05.06.21|09:46:26] Done.
[05.06.21|09:46:26] Eval epoch: 330
[05.06.21|09:46:27] 	mean_loss: 0.9639630904733552. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:46:27] Done.
[05.06.21|09:46:27] Training epoch: 331
[05.06.21|09:47:15] 	Iter 54000 Done. | loss: 6.3949 | lr: 0.003590 | tf: 0.211424
[05.06.21|09:48:58] 	Iter 54100 Done. | loss: 7.1144 | lr: 0.003590 | tf: 0.211424
[05.06.21|09:49:14] 	mean_loss: 0.8887535639292362. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:49:14] Time consumption:
[05.06.21|09:49:14] Done.
[05.06.21|09:49:14] Eval epoch: 331
[05.06.21|09:49:15] 	mean_loss: 0.9214073336797195. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:49:15] Done.
[05.06.21|09:49:15] Training epoch: 332
[05.06.21|09:50:41] 	Iter 54200 Done. | loss: 7.4191 | lr: 0.003587 | tf: 0.210367
[05.06.21|09:51:59] 	mean_loss: 0.9067201592489387. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:51:59] Time consumption:
[05.06.21|09:51:59] Done.
[05.06.21|09:51:59] Eval epoch: 332
[05.06.21|09:52:00] 	mean_loss: 0.8863983079679186. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:52:00] Done.
[05.06.21|09:52:00] Training epoch: 333
[05.06.21|09:52:22] 	Iter 54300 Done. | loss: 7.1924 | lr: 0.003583 | tf: 0.209315
[05.06.21|09:54:03] 	Iter 54400 Done. | loss: 5.6378 | lr: 0.003583 | tf: 0.209315
[05.06.21|09:54:45] 	mean_loss: 0.8754491947499705. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:54:45] Time consumption:
[05.06.21|09:54:45] Done.
[05.06.21|09:54:45] Eval epoch: 333
[05.06.21|09:54:46] 	mean_loss: 0.9476463036834849. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:54:46] Done.
[05.06.21|09:54:46] Training epoch: 334
[05.06.21|09:55:46] 	Iter 54500 Done. | loss: 7.3145 | lr: 0.003580 | tf: 0.208269
[05.06.21|09:57:26] 	Iter 54600 Done. | loss: 9.0054 | lr: 0.003580 | tf: 0.208269
[05.06.21|09:57:30] 	mean_loss: 0.8687679828347328. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:57:30] Time consumption:
[05.06.21|09:57:30] Done.
[05.06.21|09:57:30] Eval epoch: 334
[05.06.21|09:57:31] 	mean_loss: 0.892746920539606. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|09:57:31] Done.
[05.06.21|09:57:31] Training epoch: 335
[05.06.21|09:59:09] 	Iter 54700 Done. | loss: 8.9875 | lr: 0.003576 | tf: 0.207227
[05.06.21|10:00:14] 	mean_loss: 0.9032184745312858. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:00:14] Time consumption:
[05.06.21|10:00:14] Done.
[05.06.21|10:00:14] Eval epoch: 335
[05.06.21|10:00:15] 	mean_loss: 0.8582323640635791. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:00:15] Done.
[05.06.21|10:00:15] Training epoch: 336
[05.06.21|10:00:49] 	Iter 54800 Done. | loss: 8.7740 | lr: 0.003573 | tf: 0.206191
[05.06.21|10:02:32] 	Iter 54900 Done. | loss: 7.1825 | lr: 0.003573 | tf: 0.206191
[05.06.21|10:03:01] 	mean_loss: 0.9004358057421181. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:03:01] Time consumption:
[05.06.21|10:03:01] Done.
[05.06.21|10:03:01] Eval epoch: 336
[05.06.21|10:03:02] 	mean_loss: 0.9288009181627294. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:03:02] Done.
[05.06.21|10:03:02] Training epoch: 337
[05.06.21|10:04:10] 	Iter 55000 Done. | loss: 6.0500 | lr: 0.003569 | tf: 0.205160
[05.06.21|10:05:44] 	mean_loss: 0.8879281295774513. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:05:44] Time consumption:
[05.06.21|10:05:44] Done.
[05.06.21|10:05:44] Eval epoch: 337
[05.06.21|10:05:45] 	mean_loss: 0.8574347993718934. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:05:45] Done.
[05.06.21|10:05:45] Training epoch: 338
[05.06.21|10:05:52] 	Iter 55100 Done. | loss: 8.7674 | lr: 0.003565 | tf: 0.204135
[05.06.21|10:07:35] 	Iter 55200 Done. | loss: 8.9111 | lr: 0.003565 | tf: 0.204135
[05.06.21|10:08:32] 	mean_loss: 0.8710198095625511. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:08:32] Time consumption:
[05.06.21|10:08:32] Done.
[05.06.21|10:08:32] Eval epoch: 338
[05.06.21|10:08:33] 	mean_loss: 0.9633100461809778. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:08:33] Done.
[05.06.21|10:08:33] Training epoch: 339
[05.06.21|10:09:18] 	Iter 55300 Done. | loss: 10.2904 | lr: 0.003562 | tf: 0.203114
[05.06.21|10:10:58] 	Iter 55400 Done. | loss: 3.4969 | lr: 0.003562 | tf: 0.203114
[05.06.21|10:11:18] 	mean_loss: 0.8779024259915129. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:11:18] Time consumption:
[05.06.21|10:11:18] Done.
[05.06.21|10:11:18] Eval epoch: 339
[05.06.21|10:11:19] 	mean_loss: 0.8954394209842533. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:11:19] Done.
[05.06.21|10:11:19] Training epoch: 340
[05.06.21|10:12:42] 	Iter 55500 Done. | loss: 3.2600 | lr: 0.003558 | tf: 0.202098
[05.06.21|10:14:05] 	mean_loss: 0.8692621238383852. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:14:05] Time consumption:
[05.06.21|10:14:05] Done.
[05.06.21|10:14:05] Eval epoch: 340
[05.06.21|10:14:06] 	mean_loss: 0.9667030393885105. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:14:06] Done.
[05.06.21|10:14:06] Training epoch: 341
[05.06.21|10:14:24] 	Iter 55600 Done. | loss: 5.3484 | lr: 0.003555 | tf: 0.201088
[05.06.21|10:16:05] 	Iter 55700 Done. | loss: 8.5217 | lr: 0.003555 | tf: 0.201088
[05.06.21|10:16:51] 	mean_loss: 0.8805204717063793. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:16:51] Time consumption:
[05.06.21|10:16:51] Done.
[05.06.21|10:16:51] Eval epoch: 341
[05.06.21|10:16:52] 	mean_loss: 0.929388975833632. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:16:52] Done.
[05.06.21|10:16:52] Training epoch: 342
[05.06.21|10:17:48] 	Iter 55800 Done. | loss: 7.2166 | lr: 0.003551 | tf: 0.200082
[05.06.21|10:19:30] 	Iter 55900 Done. | loss: 7.4415 | lr: 0.003551 | tf: 0.200082
[05.06.21|10:19:38] 	mean_loss: 0.8831382386122456. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:19:38] Time consumption:
[05.06.21|10:19:38] Done.
[05.06.21|10:19:38] Eval epoch: 342
[05.06.21|10:19:39] 	mean_loss: 0.8235149818064454. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:19:39] Done.
[05.06.21|10:19:39] Training epoch: 343
[05.06.21|10:21:13] 	Iter 56000 Done. | loss: 10.3116 | lr: 0.003548 | tf: 0.199082
[05.06.21|10:22:24] 	mean_loss: 0.8889037211124746. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:22:24] Time consumption:
[05.06.21|10:22:24] Done.
[05.06.21|10:22:24] Eval epoch: 343
[05.06.21|10:22:25] 	mean_loss: 0.881618090700043. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:22:25] Done.
[05.06.21|10:22:25] Training epoch: 344
[05.06.21|10:22:54] 	Iter 56100 Done. | loss: 8.6681 | lr: 0.003544 | tf: 0.198087
[05.06.21|10:24:37] 	Iter 56200 Done. | loss: 2.4339 | lr: 0.003544 | tf: 0.198087
[05.06.21|10:25:11] 	mean_loss: 0.8486405219662767. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:25:11] Time consumption:
[05.06.21|10:25:11] Done.
[05.06.21|10:25:11] Eval epoch: 344
[05.06.21|10:25:12] 	mean_loss: 1.0207032198805739. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:25:12] Done.
[05.06.21|10:25:12] Training epoch: 345
[05.06.21|10:26:20] 	Iter 56300 Done. | loss: 3.7117 | lr: 0.003540 | tf: 0.197096
[05.06.21|10:28:00] 	mean_loss: 0.8466852766187495. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:28:00] Time consumption:
[05.06.21|10:28:00] Done.
[05.06.21|10:28:00] Eval epoch: 345
[05.06.21|10:28:01] 	mean_loss: 0.879768151157317. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:28:01] Done.
[05.06.21|10:28:01] Training epoch: 346
[05.06.21|10:28:04] 	Iter 56400 Done. | loss: 7.4048 | lr: 0.003537 | tf: 0.196111
[05.06.21|10:29:46] 	Iter 56500 Done. | loss: 5.9764 | lr: 0.003537 | tf: 0.196111
[05.06.21|10:30:47] 	mean_loss: 0.8623345516566523. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:30:47] Time consumption:
[05.06.21|10:30:47] Done.
[05.06.21|10:30:47] Eval epoch: 346
[05.06.21|10:30:48] 	mean_loss: 0.812610251079902. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:30:48] Done.
[05.06.21|10:30:48] Training epoch: 347
[05.06.21|10:31:28] 	Iter 56600 Done. | loss: 2.4919 | lr: 0.003533 | tf: 0.195130
[05.06.21|10:33:07] 	Iter 56700 Done. | loss: 7.4096 | lr: 0.003533 | tf: 0.195130
[05.06.21|10:33:29] 	mean_loss: 0.920257352644138. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:33:29] Time consumption:
[05.06.21|10:33:29] Done.
[05.06.21|10:33:29] Eval epoch: 347
[05.06.21|10:33:30] 	mean_loss: 0.865088477282777. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:33:30] Done.
[05.06.21|10:33:30] Training epoch: 348
[05.06.21|10:34:48] 	Iter 56800 Done. | loss: 1.9248 | lr: 0.003530 | tf: 0.194154
[05.06.21|10:36:13] 	mean_loss: 0.8871517627369452. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:36:13] Time consumption:
[05.06.21|10:36:13] Done.
[05.06.21|10:36:13] Eval epoch: 348
[05.06.21|10:36:14] 	mean_loss: 0.9581858492382284. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:36:14] Done.
[05.06.21|10:36:14] Training epoch: 349
[05.06.21|10:36:28] 	Iter 56900 Done. | loss: 5.4385 | lr: 0.003526 | tf: 0.193184
[05.06.21|10:38:10] 	Iter 57000 Done. | loss: 5.2253 | lr: 0.003526 | tf: 0.193184
[05.06.21|10:38:59] 	mean_loss: 0.8652965347505088. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:38:59] Time consumption:
[05.06.21|10:38:59] Done.
[05.06.21|10:38:59] Eval epoch: 349
[05.06.21|10:39:00] 	mean_loss: 0.9005947427236708. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:39:00] Done.
[05.06.21|10:39:00] Training epoch: 350
[05.06.21|10:39:50] 	Iter 57100 Done. | loss: 5.4608 | lr: 0.003523 | tf: 0.192218
[05.06.21|10:41:31] 	Iter 57200 Done. | loss: 7.4237 | lr: 0.003523 | tf: 0.192218
[05.06.21|10:41:43] 	mean_loss: 0.8961439522426088. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:41:43] Time consumption:
[05.06.21|10:41:43] Done.
[05.06.21|10:41:43] Eval epoch: 350
[05.06.21|10:41:44] 	mean_loss: 0.9185617564250208. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:41:44] Done.
[05.06.21|10:41:44] Training epoch: 351
[05.06.21|10:43:14] 	Iter 57300 Done. | loss: 7.2519 | lr: 0.003519 | tf: 0.191257
[05.06.21|10:44:29] 	mean_loss: 0.8539438485579721. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:44:29] Time consumption:
[05.06.21|10:44:29] Done.
[05.06.21|10:44:29] Eval epoch: 351
[05.06.21|10:44:30] 	mean_loss: 0.9055000529255423. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:44:30] Done.
[05.06.21|10:44:30] Training epoch: 352
[05.06.21|10:44:55] 	Iter 57400 Done. | loss: 9.0594 | lr: 0.003516 | tf: 0.190300
[05.06.21|10:46:34] 	Iter 57500 Done. | loss: 7.0270 | lr: 0.003516 | tf: 0.190300
[05.06.21|10:47:11] 	mean_loss: 0.9383452835826017. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:47:11] Time consumption:
[05.06.21|10:47:11] Done.
[05.06.21|10:47:11] Eval epoch: 352
[05.06.21|10:47:12] 	mean_loss: 0.8548421552943699. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:47:12] Done.
[05.06.21|10:47:12] Training epoch: 353
[05.06.21|10:48:15] 	Iter 57600 Done. | loss: 7.4089 | lr: 0.003512 | tf: 0.189349
[05.06.21|10:49:56] 	Iter 57700 Done. | loss: 9.1176 | lr: 0.003512 | tf: 0.189349
[05.06.21|10:49:57] 	mean_loss: 0.8606666839156322. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:49:57] Time consumption:
[05.06.21|10:49:57] Done.
[05.06.21|10:49:57] Eval epoch: 353
[05.06.21|10:49:59] 	mean_loss: 0.9426243331513086. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:49:59] Done.
[05.06.21|10:49:59] Training epoch: 354
[05.06.21|10:51:37] 	Iter 57800 Done. | loss: 8.8198 | lr: 0.003509 | tf: 0.188402
[05.06.21|10:52:42] 	mean_loss: 0.9084268027875092. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:52:42] Time consumption:
[05.06.21|10:52:42] Done.
[05.06.21|10:52:42] Eval epoch: 354
[05.06.21|10:52:43] 	mean_loss: 0.886484455939896. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:52:43] Done.
[05.06.21|10:52:43] Training epoch: 355
[05.06.21|10:53:19] 	Iter 57900 Done. | loss: 5.3964 | lr: 0.003505 | tf: 0.187460
[05.06.21|10:54:58] 	Iter 58000 Done. | loss: 8.7763 | lr: 0.003505 | tf: 0.187460
[05.06.21|10:55:26] 	mean_loss: 0.9063984520654695. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:55:26] Time consumption:
[05.06.21|10:55:26] Done.
[05.06.21|10:55:26] Eval epoch: 355
[05.06.21|10:55:27] 	mean_loss: 0.8387062591033385. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:55:27] Done.
[05.06.21|10:55:27] Training epoch: 356
[05.06.21|10:56:44] 	Iter 58100 Done. | loss: 8.9947 | lr: 0.003502 | tf: 0.186523
[05.06.21|10:58:13] 	mean_loss: 0.8910086394450781. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:58:13] Time consumption:
[05.06.21|10:58:13] Done.
[05.06.21|10:58:13] Eval epoch: 356
[05.06.21|10:58:14] 	mean_loss: 0.8483516519694674. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|10:58:14] Done.
[05.06.21|10:58:14] Training epoch: 357
[05.06.21|10:58:25] 	Iter 58200 Done. | loss: 7.1632 | lr: 0.003498 | tf: 0.185590
[05.06.21|11:00:03] 	Iter 58300 Done. | loss: 8.6637 | lr: 0.003498 | tf: 0.185590
[05.06.21|11:00:58] 	mean_loss: 0.8704461132085362. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:00:58] Time consumption:
[05.06.21|11:00:58] Done.
[05.06.21|11:00:58] Eval epoch: 357
[05.06.21|11:00:59] 	mean_loss: 0.8418851608485837. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:00:59] Done.
[05.06.21|11:00:59] Training epoch: 358
[05.06.21|11:01:46] 	Iter 58400 Done. | loss: 4.2114 | lr: 0.003495 | tf: 0.184662
[05.06.21|11:03:26] 	Iter 58500 Done. | loss: 2.3620 | lr: 0.003495 | tf: 0.184662
[05.06.21|11:03:42] 	mean_loss: 0.9069615192674009. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:03:42] Time consumption:
[05.06.21|11:03:42] Done.
[05.06.21|11:03:42] Eval epoch: 358
[05.06.21|11:03:43] 	mean_loss: 0.895490604052912. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:03:43] Done.
[05.06.21|11:03:43] Training epoch: 359
[05.06.21|11:05:12] 	Iter 58600 Done. | loss: 7.2329 | lr: 0.003491 | tf: 0.183739
[05.06.21|11:06:35] 	mean_loss: 0.8633545350142303. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:06:35] Time consumption:
[05.06.21|11:06:35] Done.
[05.06.21|11:06:35] Eval epoch: 359
[05.06.21|11:06:36] 	mean_loss: 0.8541392199859947. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:06:36] Done.
[05.06.21|11:06:36] Training epoch: 360
[05.06.21|11:06:57] 	Iter 58700 Done. | loss: 3.7683 | lr: 0.003488 | tf: 0.182820
[05.06.21|11:08:44] 	Iter 58800 Done. | loss: 7.7212 | lr: 0.003488 | tf: 0.182820
[05.06.21|11:09:27] 	mean_loss: 0.9110942940704012. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:09:27] Time consumption:
[05.06.21|11:09:27] Done.
[05.06.21|11:09:27] Eval epoch: 360
[05.06.21|11:09:28] 	mean_loss: 0.9429121835882353. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:09:28] Done.
[05.06.21|11:09:28] Training epoch: 361
[05.06.21|11:10:29] 	Iter 58900 Done. | loss: 8.5459 | lr: 0.003484 | tf: 0.181906
[05.06.21|11:12:15] 	Iter 59000 Done. | loss: 7.1567 | lr: 0.003484 | tf: 0.181906
[05.06.21|11:12:20] 	mean_loss: 0.89632460922131. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:12:20] Time consumption:
[05.06.21|11:12:20] Done.
[05.06.21|11:12:20] Eval epoch: 361
[05.06.21|11:12:21] 	mean_loss: 0.970488192485548. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:12:21] Done.
[05.06.21|11:12:21] Training epoch: 362
[05.06.21|11:14:00] 	Iter 59100 Done. | loss: 9.4486 | lr: 0.003481 | tf: 0.180997
[05.06.21|11:15:10] 	mean_loss: 0.878269125711919. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:15:10] Time consumption:
[05.06.21|11:15:10] Done.
[05.06.21|11:15:10] Eval epoch: 362
[05.06.21|11:15:11] 	mean_loss: 0.9623505750668538. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:15:11] Done.
[05.06.21|11:15:11] Training epoch: 363
[05.06.21|11:15:44] 	Iter 59200 Done. | loss: 7.5402 | lr: 0.003477 | tf: 0.180092
[05.06.21|11:17:29] 	Iter 59300 Done. | loss: 4.1143 | lr: 0.003477 | tf: 0.180092
[05.06.21|11:18:01] 	mean_loss: 0.8649135484078229. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:18:01] Time consumption:
[05.06.21|11:18:01] Done.
[05.06.21|11:18:01] Eval epoch: 363
[05.06.21|11:18:02] 	mean_loss: 0.9455171169114517. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:18:02] Done.
[05.06.21|11:18:02] Training epoch: 364
[05.06.21|11:19:11] 	Iter 59400 Done. | loss: 9.0956 | lr: 0.003474 | tf: 0.179191
[05.06.21|11:20:48] 	mean_loss: 0.9134344927792056. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:20:48] Time consumption:
[05.06.21|11:20:48] Done.
[05.06.21|11:20:48] Eval epoch: 364
[05.06.21|11:20:50] 	mean_loss: 0.918850517952737. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:20:50] Done.
[05.06.21|11:20:50] Training epoch: 365
[05.06.21|11:20:57] 	Iter 59500 Done. | loss: 3.5656 | lr: 0.003470 | tf: 0.178295
[05.06.21|11:22:40] 	Iter 59600 Done. | loss: 10.4966 | lr: 0.003470 | tf: 0.178295
[05.06.21|11:23:39] 	mean_loss: 0.8640771627206677. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:23:39] Time consumption:
[05.06.21|11:23:39] Done.
[05.06.21|11:23:39] Eval epoch: 365
[05.06.21|11:23:40] 	mean_loss: 0.8840474071459921. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:23:40] Done.
[05.06.21|11:23:40] Training epoch: 366
[05.06.21|11:24:27] 	Iter 59700 Done. | loss: 4.2356 | lr: 0.003467 | tf: 0.177404
[05.06.21|11:26:14] 	Iter 59800 Done. | loss: 5.7310 | lr: 0.003467 | tf: 0.177404
[05.06.21|11:26:36] 	mean_loss: 0.821609156259063. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:26:36] Time consumption:
[05.06.21|11:26:36] Done.
[05.06.21|11:26:36] Eval epoch: 366
[05.06.21|11:26:37] 	mean_loss: 0.8688753404176305. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:26:37] Done.
[05.06.21|11:26:37] Training epoch: 367
[05.06.21|11:27:59] 	Iter 59900 Done. | loss: 5.3126 | lr: 0.003463 | tf: 0.176517
[05.06.21|11:29:26] 	mean_loss: 0.927496442870016. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:29:26] Time consumption:
[05.06.21|11:29:26] Done.
[05.06.21|11:29:26] Eval epoch: 367
[05.06.21|11:29:27] 	mean_loss: 0.9378026230466407. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:29:27] Done.
[05.06.21|11:29:27] Training epoch: 368
[05.06.21|11:29:45] 	Iter 60000 Done. | loss: 9.1762 | lr: 0.003460 | tf: 0.175634
[05.06.21|11:31:29] 	Iter 60100 Done. | loss: 5.5374 | lr: 0.003460 | tf: 0.175634
[05.06.21|11:32:17] 	mean_loss: 0.9362341384610152. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:32:17] Time consumption:
[05.06.21|11:32:17] Done.
[05.06.21|11:32:17] Eval epoch: 368
[05.06.21|11:32:18] 	mean_loss: 0.944415488727315. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:32:18] Done.
[05.06.21|11:32:18] Training epoch: 369
[05.06.21|11:33:14] 	Iter 60200 Done. | loss: 6.9548 | lr: 0.003456 | tf: 0.174756
[05.06.21|11:34:58] 	Iter 60300 Done. | loss: 6.2587 | lr: 0.003456 | tf: 0.174756
[05.06.21|11:35:08] 	mean_loss: 0.8813267058065847. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:35:08] Time consumption:
[05.06.21|11:35:08] Done.
[05.06.21|11:35:08] Eval epoch: 369
[05.06.21|11:35:09] 	mean_loss: 0.8494948797625819. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:35:09] Done.
[05.06.21|11:35:09] Training epoch: 370
[05.06.21|11:36:41] 	Iter 60400 Done. | loss: 10.1484 | lr: 0.003453 | tf: 0.173882
[05.06.21|11:37:57] 	mean_loss: 0.911166989392242. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:37:57] Time consumption:
[05.06.21|11:37:57] Done.
[05.06.21|11:37:57] Eval epoch: 370
[05.06.21|11:37:58] 	mean_loss: 0.9382480027290436. Best so far: 0.7497095388433154 (epoch: 267).
[05.06.21|11:37:58] Done.
[05.06.21|11:37:58] Training epoch: 371
[05.06.21|11:48:08] Training epoch: 0
[05.06.21|11:48:10] 	Iter 0 Done. | loss: 28.0354 | lr: 0.005000 | tf: 1.000000
[05.06.21|11:49:06] Training epoch: 267
[05.06.21|11:49:07] 	Iter 0 Done. | loss: 7.4815 | lr: 0.005000 | tf: 1.000000
[05.06.21|11:49:48] Training epoch: 370
[05.06.21|11:49:49] 	Iter 0 Done. | loss: 7.3460 | lr: 0.005000 | tf: 1.000000
[05.06.21|11:51:31] 	Iter 100 Done. | loss: 6.9349 | lr: 0.005000 | tf: 1.000000
[05.06.21|11:52:32] 	mean_loss: 0.903763799642834. Best so far: 0.9382 (epoch: 370).
[05.06.21|11:52:32] Time consumption:
[05.06.21|11:52:32] Done.
[05.06.21|11:52:32] Eval epoch: 370
[05.06.21|11:52:33] 	mean_loss: 0.8345162141747255. Best so far: 0.8345162141747255 (epoch: 370).
[05.06.21|11:52:33] Done.
[05.06.21|11:53:44] Training epoch: 371
[05.06.21|11:54:23] 	Iter 200 Done. | loss: 8.6518 | lr: 0.004995 | tf: 0.995000
[05.06.21|11:56:08] 	Iter 300 Done. | loss: 7.2852 | lr: 0.004995 | tf: 0.995000
[05.06.21|11:56:35] 	mean_loss: 0.8522590638530522. Best so far: 0.8345162141747255 (epoch: 370).
[05.06.21|11:56:35] Time consumption:
[05.06.21|11:56:35] Done.
[05.06.21|11:56:35] Eval epoch: 371
[05.06.21|11:56:36] 	mean_loss: 1.0347673086022076. Best so far: 0.8345162141747255 (epoch: 370).
[05.06.21|11:56:36] Done.
[05.06.21|11:56:36] Training epoch: 372
[05.06.21|11:57:53] 	Iter 400 Done. | loss: 11.1434 | lr: 0.004990 | tf: 0.990025
[05.06.21|11:59:27] 	mean_loss: 0.8866369650124403. Best so far: 0.8345162141747255 (epoch: 370).
[05.06.21|11:59:27] Time consumption:
[05.06.21|11:59:27] Done.
[05.06.21|11:59:27] Eval epoch: 372
[05.06.21|11:59:28] 	mean_loss: 0.8819056865679955. Best so far: 0.8345162141747255 (epoch: 370).
[05.06.21|11:59:28] Done.
[05.06.21|11:59:28] Training epoch: 373
[05.06.21|11:59:41] 	Iter 500 Done. | loss: 7.2999 | lr: 0.004985 | tf: 0.985075
[05.06.21|12:08:27] Training epoch: 0
[05.06.21|12:08:28] 	Iter 0 Done. | loss: 21.5864 | lr: 0.001000 | tf: 1.000000
[05.06.21|12:10:04] 	mean_loss: 0.8751207996707872. Best so far: inf (epoch: 0).
[05.06.21|12:10:04] Time consumption:
[05.06.21|12:10:04] Done.
[05.06.21|12:10:04] Eval epoch: 0
[05.06.21|12:10:05] 	mean_loss: 0.5149097746955336. Best so far: inf (epoch: 0).
[05.06.21|12:10:05] Done.
[05.06.21|12:11:14] Training epoch: 1
[05.06.21|12:11:36] 	Iter 100 Done. | loss: 11.1616 | lr: 0.000999 | tf: 1.000000
[05.06.21|12:12:52] 	mean_loss: 0.5392700419940397. Best so far: inf (epoch: 0).
[05.06.21|12:12:52] Time consumption:
[05.06.21|12:12:52] Done.
[05.06.21|12:12:52] Eval epoch: 1
[05.06.21|12:12:53] 	mean_loss: 0.44867079761509726. Best so far: inf (epoch: 0).
[05.06.21|12:12:53] Done.
[05.06.21|12:12:53] Training epoch: 2
[05.06.21|12:13:36] 	Iter 200 Done. | loss: 8.6430 | lr: 0.000998 | tf: 1.000000
[05.06.21|12:14:29] 	mean_loss: 0.5056723920080541. Best so far: inf (epoch: 0).
[05.06.21|12:14:29] Time consumption:
[05.06.21|12:14:29] Done.
[05.06.21|12:14:29] Eval epoch: 2
[05.06.21|12:14:30] 	mean_loss: 0.439361603617332. Best so far: inf (epoch: 0).
[05.06.21|12:14:30] Done.
[05.06.21|12:14:30] Training epoch: 3
[05.06.21|12:15:35] 	Iter 300 Done. | loss: 6.2581 | lr: 0.000997 | tf: 1.000000
[05.06.21|12:16:06] 	mean_loss: 0.4825876557415184. Best so far: inf (epoch: 0).
[05.06.21|12:16:06] Time consumption:
[05.06.21|12:16:06] Done.
[05.06.21|12:16:06] Eval epoch: 3
[05.06.21|12:16:07] 	mean_loss: 0.47447175249658313. Best so far: inf (epoch: 0).
[05.06.21|12:16:07] Done.
[05.06.21|12:16:07] Training epoch: 4
[05.06.21|12:17:35] 	Iter 400 Done. | loss: 9.4395 | lr: 0.000996 | tf: 1.000000
[05.06.21|12:17:46] 	mean_loss: 0.44105035248003954. Best so far: inf (epoch: 0).
[05.06.21|12:17:46] Time consumption:
[05.06.21|12:17:46] Done.
[05.06.21|12:17:46] Eval epoch: 4
[05.06.21|12:17:47] 	mean_loss: 0.42791986090928125. Best so far: inf (epoch: 0).
[05.06.21|12:17:47] Done.
[05.06.21|12:17:47] Training epoch: 5
[05.06.21|12:19:27] 	mean_loss: 0.43193509664942986. Best so far: inf (epoch: 0).
[05.06.21|12:19:27] Time consumption:
[05.06.21|12:19:27] Done.
[05.06.21|12:19:27] Eval epoch: 5
[05.06.21|12:19:28] 	mean_loss: 0.44258673762615847. Best so far: inf (epoch: 0).
[05.06.21|12:19:28] Done.
[05.06.21|12:19:28] Training epoch: 6
[05.06.21|12:19:40] 	Iter 500 Done. | loss: 4.9543 | lr: 0.000994 | tf: 1.000000
[05.06.21|12:21:09] 	mean_loss: 0.45263617730159256. Best so far: inf (epoch: 0).
[05.06.21|12:21:09] Time consumption:
[05.06.21|12:21:09] Done.
[05.06.21|12:21:09] Eval epoch: 6
[05.06.21|12:21:09] 	mean_loss: 0.42397176139660075. Best so far: inf (epoch: 0).
[05.06.21|12:21:09] Done.
[05.06.21|12:21:09] Training epoch: 7
[05.06.21|12:21:41] 	Iter 600 Done. | loss: 6.0589 | lr: 0.000993 | tf: 1.000000
[05.06.21|12:22:46] 	mean_loss: 0.43684414050496456. Best so far: inf (epoch: 0).
[05.06.21|12:22:46] Time consumption:
[05.06.21|12:22:46] Done.
[05.06.21|12:22:46] Eval epoch: 7
[05.06.21|12:22:47] 	mean_loss: 0.4259093708643819. Best so far: inf (epoch: 0).
[05.06.21|12:22:47] Done.
[05.06.21|12:22:47] Training epoch: 8
[05.06.21|12:23:40] 	Iter 700 Done. | loss: 8.2081 | lr: 0.000992 | tf: 1.000000
[05.06.21|12:24:25] 	mean_loss: 0.4287275270301889. Best so far: inf (epoch: 0).
[05.06.21|12:24:25] Time consumption:
[05.06.21|12:24:25] Done.
[05.06.21|12:24:25] Eval epoch: 8
[05.06.21|12:24:26] 	mean_loss: 0.4325948729136077. Best so far: inf (epoch: 0).
[05.06.21|12:24:26] Done.
[05.06.21|12:24:26] Training epoch: 9
[05.06.21|12:25:41] 	Iter 800 Done. | loss: 4.0807 | lr: 0.000991 | tf: 1.000000
[05.06.21|12:26:04] 	mean_loss: 0.427419741535756. Best so far: inf (epoch: 0).
[05.06.21|12:26:04] Time consumption:
[05.06.21|12:26:04] Done.
[05.06.21|12:26:04] Eval epoch: 9
[05.06.21|12:26:05] 	mean_loss: 0.4090001429411064. Best so far: inf (epoch: 0).
[05.06.21|12:26:05] Done.
[05.06.21|12:26:05] Training epoch: 10
[05.06.21|12:27:41] 	Iter 900 Done. | loss: 4.6171 | lr: 0.000990 | tf: 1.000000
[05.06.21|12:27:42] 	mean_loss: 0.4111213559711763. Best so far: inf (epoch: 0).
[05.06.21|12:27:42] Time consumption:
[05.06.21|12:27:42] Done.
[05.06.21|12:27:42] Eval epoch: 10
[05.06.21|12:27:43] 	mean_loss: 0.39275417745751234. Best so far: inf (epoch: 0).
[05.06.21|12:27:43] Done.
[05.06.21|12:28:48] Training epoch: 11
[05.06.21|12:30:26] 	mean_loss: 0.3858874617088359. Best so far: inf (epoch: 0).
[05.06.21|12:30:26] Time consumption:
[05.06.21|12:30:26] Done.
[05.06.21|12:30:26] Eval epoch: 11
[05.06.21|12:30:27] 	mean_loss: 0.33800599865394065. Best so far: inf (epoch: 0).
[05.06.21|12:30:27] Done.
[05.06.21|12:30:27] Training epoch: 12
[05.06.21|12:30:47] 	Iter 1000 Done. | loss: 11.0508 | lr: 0.000988 | tf: 1.000000
[05.06.21|12:32:02] 	mean_loss: 0.4282518530620859. Best so far: inf (epoch: 0).
[05.06.21|12:32:02] Time consumption:
[05.06.21|12:32:02] Done.
[05.06.21|12:32:02] Eval epoch: 12
[05.06.21|12:32:03] 	mean_loss: 0.4017877332497893. Best so far: inf (epoch: 0).
[05.06.21|12:32:03] Done.
[05.06.21|12:32:03] Training epoch: 13
[05.06.21|12:32:45] 	Iter 1100 Done. | loss: 3.4821 | lr: 0.000987 | tf: 1.000000
[05.06.21|12:33:41] 	mean_loss: 0.3905878999576679. Best so far: inf (epoch: 0).
[05.06.21|12:33:41] Time consumption:
[05.06.21|12:33:41] Done.
[05.06.21|12:33:41] Eval epoch: 13
[05.06.21|12:33:42] 	mean_loss: 0.40799651992762137. Best so far: inf (epoch: 0).
[05.06.21|12:33:42] Done.
[05.06.21|12:33:42] Training epoch: 14
[05.06.21|12:34:44] 	Iter 1200 Done. | loss: 10.4898 | lr: 0.000986 | tf: 1.000000
[05.06.21|12:35:17] 	mean_loss: 0.4125590515670503. Best so far: inf (epoch: 0).
[05.06.21|12:35:17] Time consumption:
[05.06.21|12:35:17] Done.
[05.06.21|12:35:17] Eval epoch: 14
[05.06.21|12:35:18] 	mean_loss: 0.44132161388671587. Best so far: inf (epoch: 0).
[05.06.21|12:35:18] Done.
[05.06.21|12:35:18] Training epoch: 15
[05.06.21|12:36:40] 	Iter 1300 Done. | loss: 5.9835 | lr: 0.000985 | tf: 1.000000
[05.06.21|12:36:53] 	mean_loss: 0.3849175476244008. Best so far: inf (epoch: 0).
[05.06.21|12:36:53] Time consumption:
[05.06.21|12:36:53] Done.
[05.06.21|12:36:53] Eval epoch: 15
[05.06.21|12:36:54] 	mean_loss: 0.44469626451891486. Best so far: inf (epoch: 0).
[05.06.21|12:36:54] Done.
[05.06.21|12:36:54] Training epoch: 16
[05.06.21|12:38:29] 	mean_loss: 0.38013043659249096. Best so far: inf (epoch: 0).
[05.06.21|12:38:29] Time consumption:
[05.06.21|12:38:29] Done.
[05.06.21|12:38:29] Eval epoch: 16
[05.06.21|12:38:30] 	mean_loss: 0.392357224161122. Best so far: inf (epoch: 0).
[05.06.21|12:38:30] Done.
[05.06.21|12:38:30] Training epoch: 17
[05.06.21|12:38:38] 	Iter 1400 Done. | loss: 6.4970 | lr: 0.000983 | tf: 1.000000
[05.06.21|12:40:08] 	mean_loss: 0.39352808482315527. Best so far: inf (epoch: 0).
[05.06.21|12:40:08] Time consumption:
[05.06.21|12:40:08] Done.
[05.06.21|12:40:08] Eval epoch: 17
[05.06.21|12:40:09] 	mean_loss: 0.4298590296749527. Best so far: inf (epoch: 0).
[05.06.21|12:40:09] Done.
[05.06.21|12:40:09] Training epoch: 18
[05.06.21|12:40:38] 	Iter 1500 Done. | loss: 6.1624 | lr: 0.000982 | tf: 1.000000
[05.06.21|12:41:44] 	mean_loss: 4.6814842199739495. Best so far: inf (epoch: 0).
[05.06.21|12:41:44] Time consumption:
[05.06.21|12:41:44] Done.
[05.06.21|12:41:44] Eval epoch: 18
[05.06.21|12:41:45] 	mean_loss: 0.39664907969689134. Best so far: inf (epoch: 0).
[05.06.21|12:41:45] Done.
[05.06.21|12:41:45] Training epoch: 19
[05.06.21|12:42:36] 	Iter 1600 Done. | loss: 6.2682 | lr: 0.000981 | tf: 1.000000
[05.06.21|12:43:23] 	mean_loss: 0.3780923406185999. Best so far: inf (epoch: 0).
[05.06.21|12:43:23] Time consumption:
[05.06.21|12:43:23] Done.
[05.06.21|12:43:23] Eval epoch: 19
[05.06.21|12:43:24] 	mean_loss: 0.40106006094717433. Best so far: inf (epoch: 0).
[05.06.21|12:43:24] Done.
[05.06.21|12:43:24] Training epoch: 20
[05.06.21|12:44:43] 	Iter 1700 Done. | loss: 2.6659 | lr: 0.000980 | tf: 1.000000
[05.06.21|12:45:25] 	mean_loss: 0.3734764357288486. Best so far: inf (epoch: 0).
[05.06.21|12:45:25] Time consumption:
[05.06.21|12:45:25] Done.
[05.06.21|12:45:25] Eval epoch: 20
[05.06.21|12:45:29] 	mean_loss: 0.38010798202218166. Best so far: inf (epoch: 0).
[05.06.21|12:45:29] Done.
[05.06.21|12:47:08] Training epoch: 21
[05.06.21|12:49:54] 	Iter 1800 Done. | loss: 5.8696 | lr: 0.000979 | tf: 1.000000
[05.06.21|12:50:01] 	mean_loss: 0.3779939911746577. Best so far: inf (epoch: 0).
[05.06.21|12:50:01] Time consumption:
[05.06.21|12:50:01] Done.
[05.06.21|12:50:01] Eval epoch: 21
[05.06.21|12:50:04] 	mean_loss: 0.46005199143836795. Best so far: 0.46005199143836795 (epoch: 21).
[05.06.21|12:50:04] Done.
[05.06.21|12:51:37] Training epoch: 22
[05.06.21|12:54:19] 	mean_loss: 0.3398820063538169. Best so far: 0.46005199143836795 (epoch: 21).
[05.06.21|12:54:19] Time consumption:
[05.06.21|12:54:19] Done.
[05.06.21|12:54:19] Eval epoch: 22
[05.06.21|12:54:22] 	mean_loss: 0.409958990387162. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|12:54:22] Done.
[05.06.21|12:55:54] Training epoch: 23
[05.06.21|12:56:23] 	Iter 1900 Done. | loss: 7.6458 | lr: 0.000977 | tf: 0.990025
[05.06.21|12:58:44] 	mean_loss: 0.3809775770052266. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|12:58:44] Time consumption:
[05.06.21|12:58:44] Done.
[05.06.21|12:58:44] Eval epoch: 23
[05.06.21|12:58:48] 	mean_loss: 0.41109928230342996. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|12:58:48] Done.
[05.06.21|12:58:48] Training epoch: 24
[05.06.21|12:59:54] 	Iter 2000 Done. | loss: 8.9812 | lr: 0.000976 | tf: 0.985075
[05.06.21|13:01:33] 	mean_loss: 0.3785088940608737. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|13:01:33] Time consumption:
[05.06.21|13:01:33] Done.
[05.06.21|13:01:33] Eval epoch: 24
[05.06.21|13:01:37] 	mean_loss: 0.4111261375675939. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|13:01:37] Done.
[05.06.21|13:01:37] Training epoch: 25
[05.06.21|13:03:17] 	Iter 2100 Done. | loss: 6.0481 | lr: 0.000975 | tf: 0.980150
[05.06.21|13:04:18] 	mean_loss: 0.38851300074617817. Best so far: 0.409958990387162 (epoch: 22).
[05.06.21|13:04:18] Time consumption:
[05.06.21|13:04:18] Done.
[05.06.21|13:04:18] Eval epoch: 25
[05.06.21|13:04:22] 	mean_loss: 0.4019873160357096. Best so far: 0.4019873160357096 (epoch: 25).
[05.06.21|13:04:22] Done.
[05.06.21|13:05:55] Training epoch: 26
[05.06.21|13:08:17] 	Iter 2200 Done. | loss: 7.5210 | lr: 0.000974 | tf: 0.975249
[05.06.21|13:08:42] 	mean_loss: 0.3893329376121652. Best so far: 0.4019873160357096 (epoch: 25).
[05.06.21|13:08:42] Time consumption:
[05.06.21|13:08:42] Done.
[05.06.21|13:08:42] Eval epoch: 26
[05.06.21|13:08:46] 	mean_loss: 0.3628935981377891. Best so far: 0.3628935981377891 (epoch: 26).
[05.06.21|13:08:46] Done.
[05.06.21|13:10:22] Training epoch: 27
[05.06.21|13:13:06] 	mean_loss: 0.3817273519364442. Best so far: 0.3628935981377891 (epoch: 26).
[05.06.21|13:13:06] Time consumption:
[05.06.21|13:13:06] Done.
[05.06.21|13:13:06] Eval epoch: 27
[05.06.21|13:13:09] 	mean_loss: 0.36405895863584536. Best so far: 0.3628935981377891 (epoch: 26).
[05.06.21|13:13:09] Done.
[05.06.21|13:13:09] Training epoch: 28
[05.06.21|13:13:21] 	Iter 2300 Done. | loss: 9.0036 | lr: 0.000972 | tf: 0.965521
[05.06.21|13:16:00] 	mean_loss: 0.3846457280648949. Best so far: 0.3628935981377891 (epoch: 26).
[05.06.21|13:16:00] Time consumption:
[05.06.21|13:16:00] Done.
[05.06.21|13:16:00] Eval epoch: 28
[05.06.21|13:16:04] 	mean_loss: 0.3494471639171798. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:16:04] Done.
[05.06.21|13:17:39] Training epoch: 29
[05.06.21|13:18:22] 	Iter 2400 Done. | loss: 6.1475 | lr: 0.000971 | tf: 0.960693
[05.06.21|13:20:13] 	mean_loss: 0.3898125180237326. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:20:13] Time consumption:
[05.06.21|13:20:13] Done.
[05.06.21|13:20:13] Eval epoch: 29
[05.06.21|13:20:16] 	mean_loss: 0.3573840248246071. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:20:16] Done.
[05.06.21|13:20:16] Training epoch: 30
[05.06.21|13:21:36] 	Iter 2500 Done. | loss: 8.9797 | lr: 0.000970 | tf: 0.955890
[05.06.21|13:23:01] 	mean_loss: 0.387451117232093. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:23:01] Time consumption:
[05.06.21|13:23:01] Done.
[05.06.21|13:23:01] Eval epoch: 30
[05.06.21|13:23:05] 	mean_loss: 0.3701328826190635. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:23:05] Done.
[05.06.21|13:24:43] Training epoch: 31
[05.06.21|13:26:41] 	Iter 2600 Done. | loss: 6.4004 | lr: 0.000969 | tf: 0.951110
[05.06.21|13:27:25] 	mean_loss: 0.37244723058663587. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:27:25] Time consumption:
[05.06.21|13:27:25] Done.
[05.06.21|13:27:25] Eval epoch: 31
[05.06.21|13:27:28] 	mean_loss: 0.3906791364163925. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:27:28] Done.
[05.06.21|13:27:28] Training epoch: 32
[05.06.21|13:29:57] 	Iter 2700 Done. | loss: 2.9313 | lr: 0.000968 | tf: 0.946355
[05.06.21|13:30:05] 	mean_loss: 0.37164458189136856. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:30:05] Time consumption:
[05.06.21|13:30:05] Done.
[05.06.21|13:30:05] Eval epoch: 32
[05.06.21|13:30:08] 	mean_loss: 0.39512614910359234. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:30:08] Done.
[05.06.21|13:30:08] Training epoch: 33
[05.06.21|13:32:48] 	mean_loss: 0.3584775922893733. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:32:48] Time consumption:
[05.06.21|13:32:48] Done.
[05.06.21|13:32:48] Eval epoch: 33
[05.06.21|13:32:51] 	mean_loss: 0.36731081081029104. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:32:51] Done.
[05.06.21|13:32:51] Training epoch: 34
[05.06.21|13:33:17] 	Iter 2800 Done. | loss: 6.1187 | lr: 0.000967 | tf: 0.936915
[05.06.21|13:35:28] 	mean_loss: 0.3747525268488784. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:35:28] Time consumption:
[05.06.21|13:35:28] Done.
[05.06.21|13:35:28] Eval epoch: 34
[05.06.21|13:35:31] 	mean_loss: 0.3833774708577679. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:35:31] Done.
[05.06.21|13:35:31] Training epoch: 35
[05.06.21|13:36:30] 	Iter 2900 Done. | loss: 7.1115 | lr: 0.000966 | tf: 0.932230
[05.06.21|13:38:09] 	mean_loss: 0.3441915956739584. Best so far: 0.3494471639171798 (epoch: 28).
[05.06.21|13:38:09] Time consumption:
[05.06.21|13:38:09] Done.
[05.06.21|13:38:09] Eval epoch: 35
[05.06.21|13:38:12] 	mean_loss: 0.3463702801608509. Best so far: 0.3463702801608509 (epoch: 35).
[05.06.21|13:38:12] Done.
[05.06.21|13:39:42] Training epoch: 36
[05.06.21|13:41:15] 	Iter 3000 Done. | loss: 4.1575 | lr: 0.000965 | tf: 0.927569
[05.06.21|13:42:01] 	mean_loss: 0.36877778770853226. Best so far: 0.3463702801608509 (epoch: 35).
[05.06.21|13:42:01] Time consumption:
[05.06.21|13:42:01] Done.
[05.06.21|13:42:01] Eval epoch: 36
[05.06.21|13:42:02] 	mean_loss: 0.32702988766375174. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:42:02] Done.
[05.06.21|13:43:23] Training epoch: 37
[05.06.21|13:45:32] 	Iter 3100 Done. | loss: 6.0310 | lr: 0.000964 | tf: 0.922931
[05.06.21|13:46:01] 	mean_loss: 0.3737270661209861. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:46:01] Time consumption:
[05.06.21|13:46:01] Done.
[05.06.21|13:46:01] Eval epoch: 37
[05.06.21|13:46:04] 	mean_loss: 0.3963852328575258. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:46:04] Done.
[05.06.21|13:46:04] Training epoch: 38
[05.06.21|13:48:44] 	mean_loss: 0.3762202020984427. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:48:44] Time consumption:
[05.06.21|13:48:44] Done.
[05.06.21|13:48:44] Eval epoch: 38
[05.06.21|13:48:48] 	mean_loss: 0.34901284849013947. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:48:48] Done.
[05.06.21|13:48:48] Training epoch: 39
[05.06.21|13:48:54] 	Iter 3200 Done. | loss: 7.2937 | lr: 0.000962 | tf: 0.913725
[05.06.21|13:51:28] 	mean_loss: 0.353513124318254. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:51:28] Time consumption:
[05.06.21|13:51:28] Done.
[05.06.21|13:51:28] Eval epoch: 39
[05.06.21|13:51:31] 	mean_loss: 0.35847849623697037. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:51:31] Done.
[05.06.21|13:51:31] Training epoch: 40
[05.06.21|13:52:15] 	Iter 3300 Done. | loss: 7.1586 | lr: 0.000961 | tf: 0.909156
[05.06.21|13:54:07] 	mean_loss: 0.3416346746723756. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:54:07] Time consumption:
[05.06.21|13:54:07] Done.
[05.06.21|13:54:07] Eval epoch: 40
[05.06.21|13:54:08] 	mean_loss: 0.3458129152960708. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:54:08] Done.
[05.06.21|13:55:18] Training epoch: 41
[05.06.21|13:56:07] 	Iter 3400 Done. | loss: 2.6841 | lr: 0.000960 | tf: 0.904610
[05.06.21|13:57:00] 	mean_loss: 0.34810150664036943. Best so far: 0.32702988766375174 (epoch: 36).
[05.06.21|13:57:00] Time consumption:
[05.06.21|13:57:00] Done.
[05.06.21|13:57:00] Eval epoch: 41
[05.06.21|13:57:01] 	mean_loss: 0.3203042168985278. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|13:57:01] Done.
[05.06.21|13:58:14] Training epoch: 42
[05.06.21|13:59:21] 	Iter 3500 Done. | loss: 7.2303 | lr: 0.000959 | tf: 0.900087
[05.06.21|13:59:51] 	mean_loss: 0.7151285140500927. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|13:59:51] Time consumption:
[05.06.21|13:59:51] Done.
[05.06.21|13:59:51] Eval epoch: 42
[05.06.21|13:59:52] 	mean_loss: 0.3357278553819566. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|13:59:52] Done.
[05.06.21|13:59:52] Training epoch: 43
[05.06.21|14:01:25] 	Iter 3600 Done. | loss: 5.5013 | lr: 0.000958 | tf: 0.895587
[05.06.21|14:01:33] 	mean_loss: 0.39220282619356683. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:01:33] Time consumption:
[05.06.21|14:01:33] Done.
[05.06.21|14:01:33] Eval epoch: 43
[05.06.21|14:01:34] 	mean_loss: 0.3353947536559709. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:01:34] Done.
[05.06.21|14:01:34] Training epoch: 44
[05.06.21|14:03:18] 	mean_loss: 0.3424702464355605. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:03:18] Time consumption:
[05.06.21|14:03:18] Done.
[05.06.21|14:03:18] Eval epoch: 44
[05.06.21|14:03:19] 	mean_loss: 0.3508243619138709. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:03:19] Done.
[05.06.21|14:03:19] Training epoch: 45
[05.06.21|14:03:33] 	Iter 3700 Done. | loss: 5.5413 | lr: 0.000956 | tf: 0.886654
[05.06.21|14:05:05] 	mean_loss: 0.3554505925798464. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:05:05] Time consumption:
[05.06.21|14:05:05] Done.
[05.06.21|14:05:05] Eval epoch: 45
[05.06.21|14:05:06] 	mean_loss: 0.34818952883587284. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:05:06] Done.
[05.06.21|14:05:06] Training epoch: 46
[05.06.21|14:05:43] 	Iter 3800 Done. | loss: 6.4854 | lr: 0.000955 | tf: 0.882220
[05.06.21|14:06:52] 	mean_loss: 0.3710301111460067. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:06:52] Time consumption:
[05.06.21|14:06:52] Done.
[05.06.21|14:06:52] Eval epoch: 46
[05.06.21|14:06:54] 	mean_loss: 0.4516001685760915. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:06:54] Done.
[05.06.21|14:06:54] Training epoch: 47
[05.06.21|14:07:54] 	Iter 3900 Done. | loss: 6.3305 | lr: 0.000954 | tf: 0.877809
[05.06.21|14:08:38] 	mean_loss: 0.3903716556595767. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:08:38] Time consumption:
[05.06.21|14:08:38] Done.
[05.06.21|14:08:38] Eval epoch: 47
[05.06.21|14:08:39] 	mean_loss: 0.4371024225585097. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:08:39] Done.
[05.06.21|14:08:39] Training epoch: 48
[05.06.21|14:09:59] 	Iter 4000 Done. | loss: 8.9607 | lr: 0.000953 | tf: 0.873420
[05.06.21|14:10:20] 	mean_loss: 0.3862647299682383. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:10:20] Time consumption:
[05.06.21|14:10:20] Done.
[05.06.21|14:10:20] Eval epoch: 48
[05.06.21|14:10:21] 	mean_loss: 0.4473495725566039. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:10:21] Done.
[05.06.21|14:10:21] Training epoch: 49
[05.06.21|14:12:04] 	mean_loss: 0.38391570753625215. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:12:04] Time consumption:
[05.06.21|14:12:04] Done.
[05.06.21|14:12:04] Eval epoch: 49
[05.06.21|14:12:05] 	mean_loss: 0.42254004363449055. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:12:05] Done.
[05.06.21|14:12:05] Training epoch: 50
[05.06.21|14:12:07] 	Iter 4100 Done. | loss: 10.0710 | lr: 0.000951 | tf: 0.864708
[05.06.21|14:13:48] 	mean_loss: 0.3740567556529097. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:13:48] Time consumption:
[05.06.21|14:13:48] Done.
[05.06.21|14:13:48] Eval epoch: 50
[05.06.21|14:13:49] 	mean_loss: 0.38507178891385363. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:13:49] Done.
[05.06.21|14:15:03] Training epoch: 51
[05.06.21|14:15:27] 	Iter 4200 Done. | loss: 8.8717 | lr: 0.000950 | tf: 0.860384
[05.06.21|14:16:47] 	mean_loss: 0.365485676333377. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:16:47] Time consumption:
[05.06.21|14:16:47] Done.
[05.06.21|14:16:47] Eval epoch: 51
[05.06.21|14:16:48] 	mean_loss: 0.3893929032142028. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:16:48] Done.
[05.06.21|14:16:48] Training epoch: 52
[05.06.21|14:17:36] 	Iter 4300 Done. | loss: 1.5608 | lr: 0.000949 | tf: 0.856082
[05.06.21|14:18:31] 	mean_loss: 0.35496674732241007. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:18:31] Time consumption:
[05.06.21|14:18:31] Done.
[05.06.21|14:18:31] Eval epoch: 52
[05.06.21|14:18:32] 	mean_loss: 0.32141757172723234. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:18:32] Done.
[05.06.21|14:18:32] Training epoch: 53
[05.06.21|14:19:40] 	Iter 4400 Done. | loss: 2.5410 | lr: 0.000948 | tf: 0.851802
[05.06.21|14:20:15] 	mean_loss: 0.341960348206342. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:20:15] Time consumption:
[05.06.21|14:20:15] Done.
[05.06.21|14:20:15] Eval epoch: 53
[05.06.21|14:20:16] 	mean_loss: 0.37005120310612377. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:20:16] Done.
[05.06.21|14:20:16] Training epoch: 54
[05.06.21|14:21:47] 	Iter 4500 Done. | loss: 7.3774 | lr: 0.000947 | tf: 0.847543
[05.06.21|14:21:58] 	mean_loss: 0.35054134123110553. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:21:58] Time consumption:
[05.06.21|14:21:58] Done.
[05.06.21|14:21:58] Eval epoch: 54
[05.06.21|14:21:59] 	mean_loss: 0.39502214966626703. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:21:59] Done.
[05.06.21|14:21:59] Training epoch: 55
[05.06.21|14:23:41] 	mean_loss: 0.34632918089307424. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:23:41] Time consumption:
[05.06.21|14:23:41] Done.
[05.06.21|14:23:41] Eval epoch: 55
[05.06.21|14:23:42] 	mean_loss: 0.42706522090923604. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:23:42] Done.
[05.06.21|14:23:42] Training epoch: 56
[05.06.21|14:23:54] 	Iter 4600 Done. | loss: 2.3490 | lr: 0.000946 | tf: 0.839089
[05.06.21|14:25:26] 	mean_loss: 0.32788716815924374. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:25:26] Time consumption:
[05.06.21|14:25:26] Done.
[05.06.21|14:25:26] Eval epoch: 56
[05.06.21|14:25:27] 	mean_loss: 0.3515620995268611. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:25:27] Done.
[05.06.21|14:25:27] Training epoch: 57
[05.06.21|14:26:01] 	Iter 4700 Done. | loss: 2.4632 | lr: 0.000945 | tf: 0.834893
[05.06.21|14:27:09] 	mean_loss: 0.34897432650953886. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:27:09] Time consumption:
[05.06.21|14:27:09] Done.
[05.06.21|14:27:09] Eval epoch: 57
[05.06.21|14:27:10] 	mean_loss: 0.37316355662531137. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:27:10] Done.
[05.06.21|14:27:10] Training epoch: 58
[05.06.21|14:28:06] 	Iter 4800 Done. | loss: 8.6890 | lr: 0.000944 | tf: 0.830719
[05.06.21|14:28:51] 	mean_loss: 0.37191426930672333. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:28:51] Time consumption:
[05.06.21|14:28:51] Done.
[05.06.21|14:28:51] Eval epoch: 58
[05.06.21|14:28:52] 	mean_loss: 0.3608044492828758. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:28:52] Done.
[05.06.21|14:28:52] Training epoch: 59
[05.06.21|14:30:09] 	Iter 4900 Done. | loss: 7.1726 | lr: 0.000943 | tf: 0.826565
[05.06.21|14:30:32] 	mean_loss: 0.37253034638273763. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:30:32] Time consumption:
[05.06.21|14:30:32] Done.
[05.06.21|14:30:32] Eval epoch: 59
[05.06.21|14:30:33] 	mean_loss: 0.3700415712884349. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:30:33] Done.
[05.06.21|14:30:33] Training epoch: 60
[05.06.21|14:32:13] 	Iter 5000 Done. | loss: 8.8615 | lr: 0.000942 | tf: 0.822432
[05.06.21|14:32:14] 	mean_loss: 0.33824898322177765. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:32:14] Time consumption:
[05.06.21|14:32:14] Done.
[05.06.21|14:32:14] Eval epoch: 60
[05.06.21|14:32:15] 	mean_loss: 0.38645380981891914. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:32:15] Done.
[05.06.21|14:33:24] Training epoch: 61
[05.06.21|14:35:05] 	mean_loss: 0.34336771425821344. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:35:05] Time consumption:
[05.06.21|14:35:05] Done.
[05.06.21|14:35:05] Eval epoch: 61
[05.06.21|14:35:06] 	mean_loss: 0.3965672319572702. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:35:06] Done.
[05.06.21|14:35:06] Training epoch: 62
[05.06.21|14:35:28] 	Iter 5100 Done. | loss: 7.0799 | lr: 0.000940 | tf: 0.814229
[05.06.21|14:36:50] 	mean_loss: 0.31528124762109777. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:36:50] Time consumption:
[05.06.21|14:36:50] Done.
[05.06.21|14:36:50] Eval epoch: 62
[05.06.21|14:36:51] 	mean_loss: 0.3864705360963705. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:36:51] Done.
[05.06.21|14:36:51] Training epoch: 63
[05.06.21|14:37:34] 	Iter 5200 Done. | loss: 6.8515 | lr: 0.000939 | tf: 0.810157
[05.06.21|14:38:31] 	mean_loss: 0.34774312237546023. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:38:31] Time consumption:
[05.06.21|14:38:31] Done.
[05.06.21|14:38:31] Eval epoch: 63
[05.06.21|14:38:32] 	mean_loss: 0.3379954352678293. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:38:32] Done.
[05.06.21|14:38:32] Training epoch: 64
[05.06.21|14:39:37] 	Iter 5300 Done. | loss: 5.7496 | lr: 0.000938 | tf: 0.806107
[05.06.21|14:40:13] 	mean_loss: 0.33478504936782244. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:40:13] Time consumption:
[05.06.21|14:40:13] Done.
[05.06.21|14:40:13] Eval epoch: 64
[05.06.21|14:40:14] 	mean_loss: 0.37354171393194957. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:40:14] Done.
[05.06.21|14:40:14] Training epoch: 65
[05.06.21|14:41:42] 	Iter 5400 Done. | loss: 5.7398 | lr: 0.000937 | tf: 0.802076
[05.06.21|14:41:56] 	mean_loss: 0.3232417173703458. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:41:56] Time consumption:
[05.06.21|14:41:56] Done.
[05.06.21|14:41:56] Eval epoch: 65
[05.06.21|14:41:57] 	mean_loss: 0.3693114993578325. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:41:57] Done.
[05.06.21|14:41:57] Training epoch: 66
[05.06.21|14:43:36] 	mean_loss: 0.35775861683186894. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:43:36] Time consumption:
[05.06.21|14:43:36] Done.
[05.06.21|14:43:36] Eval epoch: 66
[05.06.21|14:43:37] 	mean_loss: 0.3863123998905538. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:43:37] Done.
[05.06.21|14:43:37] Training epoch: 67
[05.06.21|14:43:46] 	Iter 5500 Done. | loss: 2.5446 | lr: 0.000935 | tf: 0.794075
[05.06.21|14:45:17] 	mean_loss: 0.35937521254397004. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:45:17] Time consumption:
[05.06.21|14:45:17] Done.
[05.06.21|14:45:17] Eval epoch: 67
[05.06.21|14:45:18] 	mean_loss: 0.37893304283749163. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:45:18] Done.
[05.06.21|14:45:18] Training epoch: 68
[05.06.21|14:45:48] 	Iter 5600 Done. | loss: 5.5752 | lr: 0.000934 | tf: 0.790105
[05.06.21|14:46:58] 	mean_loss: 0.3499823882560148. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:46:58] Time consumption:
[05.06.21|14:46:58] Done.
[05.06.21|14:46:58] Eval epoch: 68
[05.06.21|14:46:59] 	mean_loss: 0.43720210118545033. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:46:59] Done.
[05.06.21|14:46:59] Training epoch: 69
[05.06.21|14:47:53] 	Iter 5700 Done. | loss: 1.5086 | lr: 0.000933 | tf: 0.786154
[05.06.21|14:48:42] 	mean_loss: 0.3327221410289115. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:48:42] Time consumption:
[05.06.21|14:48:42] Done.
[05.06.21|14:48:42] Eval epoch: 69
[05.06.21|14:48:43] 	mean_loss: 0.3727137024418407. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:48:43] Done.
[05.06.21|14:48:43] Training epoch: 70
[05.06.21|14:50:00] 	Iter 5800 Done. | loss: 7.1510 | lr: 0.000932 | tf: 0.782224
[05.06.21|14:50:26] 	mean_loss: 0.3265224312438379. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:50:26] Time consumption:
[05.06.21|14:50:26] Done.
[05.06.21|14:50:26] Eval epoch: 70
[05.06.21|14:50:27] 	mean_loss: 0.37761474921623595. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:50:27] Done.
[05.06.21|14:51:41] Training epoch: 71
[05.06.21|14:53:19] 	Iter 5900 Done. | loss: 3.0858 | lr: 0.000931 | tf: 0.778313
[05.06.21|14:53:23] 	mean_loss: 0.33693860211600485. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:53:23] Time consumption:
[05.06.21|14:53:23] Done.
[05.06.21|14:53:23] Eval epoch: 71
[05.06.21|14:53:24] 	mean_loss: 0.4143123908717762. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:53:24] Done.
[05.06.21|14:53:24] Training epoch: 72
[05.06.21|14:55:06] 	mean_loss: 0.3425699779905037. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:55:06] Time consumption:
[05.06.21|14:55:06] Done.
[05.06.21|14:55:06] Eval epoch: 72
[05.06.21|14:55:07] 	mean_loss: 0.38851998129534226. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:55:07] Done.
[05.06.21|14:55:07] Training epoch: 73
[05.06.21|14:55:25] 	Iter 6000 Done. | loss: 2.4142 | lr: 0.000930 | tf: 0.770549
[05.06.21|14:56:49] 	mean_loss: 0.3484978139925801. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:56:49] Time consumption:
[05.06.21|14:56:49] Done.
[05.06.21|14:56:49] Eval epoch: 73
[05.06.21|14:56:50] 	mean_loss: 0.39471131029334894. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:56:50] Done.
[05.06.21|14:56:50] Training epoch: 74
[05.06.21|14:57:30] 	Iter 6100 Done. | loss: 7.3360 | lr: 0.000929 | tf: 0.766696
[05.06.21|14:58:30] 	mean_loss: 0.3704903458842147. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:58:30] Time consumption:
[05.06.21|14:58:30] Done.
[05.06.21|14:58:30] Eval epoch: 74
[05.06.21|14:58:31] 	mean_loss: 0.3592815590675522. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|14:58:31] Done.
[05.06.21|14:58:31] Training epoch: 75
[05.06.21|14:59:35] 	Iter 6200 Done. | loss: 5.8208 | lr: 0.000928 | tf: 0.762863
[05.06.21|15:00:13] 	mean_loss: 0.3499933566461631. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:00:13] Time consumption:
[05.06.21|15:00:13] Done.
[05.06.21|15:00:13] Eval epoch: 75
[05.06.21|15:00:14] 	mean_loss: 0.3401842156633032. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:00:14] Done.
[05.06.21|15:00:14] Training epoch: 76
[05.06.21|15:01:39] 	Iter 6300 Done. | loss: 2.3324 | lr: 0.000927 | tf: 0.759048
[05.06.21|15:01:54] 	mean_loss: 0.38024437061374416. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:01:54] Time consumption:
[05.06.21|15:01:54] Done.
[05.06.21|15:01:54] Eval epoch: 76
[05.06.21|15:01:55] 	mean_loss: 0.4476582084062401. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:01:55] Done.
[05.06.21|15:01:55] Training epoch: 77
[05.06.21|15:03:37] 	mean_loss: 0.3583183170451484. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:03:37] Time consumption:
[05.06.21|15:03:37] Done.
[05.06.21|15:03:37] Eval epoch: 77
[05.06.21|15:03:38] 	mean_loss: 0.37622825255245596. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:03:38] Done.
[05.06.21|15:03:38] Training epoch: 78
[05.06.21|15:03:44] 	Iter 6400 Done. | loss: 5.2522 | lr: 0.000925 | tf: 0.751477
[05.06.21|15:05:19] 	mean_loss: 0.35589444335208803. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:05:19] Time consumption:
[05.06.21|15:05:19] Done.
[05.06.21|15:05:19] Eval epoch: 78
[05.06.21|15:05:20] 	mean_loss: 0.40736100009920645. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:05:20] Done.
[05.06.21|15:05:20] Training epoch: 79
[05.06.21|15:05:50] 	Iter 6500 Done. | loss: 7.1251 | lr: 0.000924 | tf: 0.747719
[05.06.21|15:07:01] 	mean_loss: 0.36847593814834806. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:07:01] Time consumption:
[05.06.21|15:07:01] Done.
[05.06.21|15:07:01] Eval epoch: 79
[05.06.21|15:07:02] 	mean_loss: 0.33237669000685655. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:07:02] Done.
[05.06.21|15:07:02] Training epoch: 80
[05.06.21|15:07:53] 	Iter 6600 Done. | loss: 1.9668 | lr: 0.000923 | tf: 0.743981
[05.06.21|15:08:44] 	mean_loss: 0.3497198343183039. Best so far: 0.3203042168985278 (epoch: 41).
[05.06.21|15:08:44] Time consumption:
[05.06.21|15:08:44] Done.
[05.06.21|15:08:44] Eval epoch: 80
[05.06.21|15:08:45] 	mean_loss: 0.3052607341037007. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:08:45] Done.
[05.06.21|15:09:59] Training epoch: 81
[05.06.21|15:11:11] 	Iter 6700 Done. | loss: 6.9042 | lr: 0.000922 | tf: 0.740261
[05.06.21|15:11:40] 	mean_loss: 0.35417447265490104. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:11:40] Time consumption:
[05.06.21|15:11:40] Done.
[05.06.21|15:11:40] Eval epoch: 81
[05.06.21|15:11:41] 	mean_loss: 0.373718987986772. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:11:41] Done.
[05.06.21|15:11:41] Training epoch: 82
[05.06.21|15:13:18] 	Iter 6800 Done. | loss: 5.4539 | lr: 0.000921 | tf: 0.736560
[05.06.21|15:13:24] 	mean_loss: 0.34816910673555385. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:13:24] Time consumption:
[05.06.21|15:13:24] Done.
[05.06.21|15:13:24] Eval epoch: 82
[05.06.21|15:13:25] 	mean_loss: 0.3790054330155447. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:13:25] Done.
[05.06.21|15:13:25] Training epoch: 83
[05.06.21|15:15:07] 	mean_loss: 0.36229772455076886. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:15:07] Time consumption:
[05.06.21|15:15:07] Done.
[05.06.21|15:15:07] Eval epoch: 83
[05.06.21|15:15:08] 	mean_loss: 0.3340762182743319. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:15:08] Done.
[05.06.21|15:15:08] Training epoch: 84
[05.06.21|15:15:24] 	Iter 6900 Done. | loss: 2.4108 | lr: 0.000919 | tf: 0.729212
[05.06.21|15:16:49] 	mean_loss: 0.3709343874155586. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:16:49] Time consumption:
[05.06.21|15:16:49] Done.
[05.06.21|15:16:49] Eval epoch: 84
[05.06.21|15:16:50] 	mean_loss: 0.4209130645580087. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:16:50] Done.
[05.06.21|15:16:50] Training epoch: 85
[05.06.21|15:17:29] 	Iter 7000 Done. | loss: 5.5840 | lr: 0.000918 | tf: 0.725566
[05.06.21|15:18:33] 	mean_loss: 0.3630704175977986. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:18:33] Time consumption:
[05.06.21|15:18:33] Done.
[05.06.21|15:18:33] Eval epoch: 85
[05.06.21|15:18:34] 	mean_loss: 0.3829531691905865. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:18:34] Done.
[05.06.21|15:18:34] Training epoch: 86
[05.06.21|15:19:34] 	Iter 7100 Done. | loss: 5.4617 | lr: 0.000918 | tf: 0.721939
[05.06.21|15:20:17] 	mean_loss: 0.31035092842265505. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:20:17] Time consumption:
[05.06.21|15:20:17] Done.
[05.06.21|15:20:17] Eval epoch: 86
[05.06.21|15:20:18] 	mean_loss: 0.39789896318860907. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:20:18] Done.
[05.06.21|15:20:18] Training epoch: 87
[05.06.21|15:21:43] 	Iter 7200 Done. | loss: 7.3644 | lr: 0.000917 | tf: 0.718329
[05.06.21|15:22:02] 	mean_loss: 0.3286099707854024. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:22:02] Time consumption:
[05.06.21|15:22:02] Done.
[05.06.21|15:22:02] Eval epoch: 87
[05.06.21|15:22:03] 	mean_loss: 0.3603050878015443. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:22:03] Done.
[05.06.21|15:22:03] Training epoch: 88
[05.06.21|15:23:46] 	mean_loss: 0.3377898987638275. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:23:46] Time consumption:
[05.06.21|15:23:46] Done.
[05.06.21|15:23:46] Eval epoch: 88
[05.06.21|15:23:47] 	mean_loss: 0.3612130483863326. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:23:47] Done.
[05.06.21|15:23:47] Training epoch: 89
[05.06.21|15:23:51] 	Iter 7300 Done. | loss: 4.3631 | lr: 0.000915 | tf: 0.711164
[05.06.21|15:25:31] 	mean_loss: 0.3283364867566602. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:25:31] Time consumption:
[05.06.21|15:25:31] Done.
[05.06.21|15:25:31] Eval epoch: 89
[05.06.21|15:25:32] 	mean_loss: 0.3250002974177194. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:25:32] Done.
[05.06.21|15:25:32] Training epoch: 90
[05.06.21|15:25:59] 	Iter 7400 Done. | loss: 7.1642 | lr: 0.000914 | tf: 0.707608
[05.06.21|15:27:14] 	mean_loss: 0.33897860044034844. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:27:14] Time consumption:
[05.06.21|15:27:14] Done.
[05.06.21|15:27:14] Eval epoch: 90
[05.06.21|15:27:15] 	mean_loss: 0.3731652876813508. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:27:15] Done.
[05.06.21|15:28:30] Training epoch: 91
[05.06.21|15:29:18] 	Iter 7500 Done. | loss: 6.8178 | lr: 0.000913 | tf: 0.704070
[05.06.21|15:30:12] 	mean_loss: 0.33813578939104566. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:30:12] Time consumption:
[05.06.21|15:30:12] Done.
[05.06.21|15:30:12] Eval epoch: 91
[05.06.21|15:30:13] 	mean_loss: 0.3246700231814671. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:30:13] Done.
[05.06.21|15:30:13] Training epoch: 92
[05.06.21|15:31:24] 	Iter 7600 Done. | loss: 5.4979 | lr: 0.000912 | tf: 0.700549
[05.06.21|15:31:54] 	mean_loss: 0.3471685310966952. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:31:54] Time consumption:
[05.06.21|15:31:54] Done.
[05.06.21|15:31:54] Eval epoch: 92
[05.06.21|15:31:56] 	mean_loss: 0.37844351725717507. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:31:56] Done.
[05.06.21|15:31:56] Training epoch: 93
[05.06.21|15:33:29] 	Iter 7700 Done. | loss: 2.2078 | lr: 0.000911 | tf: 0.697047
[05.06.21|15:33:38] 	mean_loss: 0.332826360979356. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:33:38] Time consumption:
[05.06.21|15:33:38] Done.
[05.06.21|15:33:38] Eval epoch: 93
[05.06.21|15:33:39] 	mean_loss: 0.40307078798934803. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:33:39] Done.
[05.06.21|15:33:39] Training epoch: 94
[05.06.21|15:35:20] 	mean_loss: 0.3427138041266831. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:35:20] Time consumption:
[05.06.21|15:35:20] Done.
[05.06.21|15:35:20] Eval epoch: 94
[05.06.21|15:35:21] 	mean_loss: 0.3876128606547512. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:35:21] Done.
[05.06.21|15:35:21] Training epoch: 95
[05.06.21|15:35:35] 	Iter 7800 Done. | loss: 4.4151 | lr: 0.000909 | tf: 0.690094
[05.06.21|15:37:04] 	mean_loss: 0.3559915475341553. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:37:04] Time consumption:
[05.06.21|15:37:04] Done.
[05.06.21|15:37:04] Eval epoch: 95
[05.06.21|15:37:05] 	mean_loss: 0.4019339853338004. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:37:05] Done.
[05.06.21|15:37:05] Training epoch: 96
[05.06.21|15:37:42] 	Iter 7900 Done. | loss: 1.9858 | lr: 0.000908 | tf: 0.686643
[05.06.21|15:38:49] 	mean_loss: 0.34795679698285986. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:38:49] Time consumption:
[05.06.21|15:38:49] Done.
[05.06.21|15:38:49] Eval epoch: 96
[05.06.21|15:38:50] 	mean_loss: 0.37401031546349023. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:38:50] Done.
[05.06.21|15:38:50] Training epoch: 97
[05.06.21|15:39:48] 	Iter 8000 Done. | loss: 8.8169 | lr: 0.000908 | tf: 0.683210
[05.06.21|15:40:32] 	mean_loss: 0.35388883956941397. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:40:32] Time consumption:
[05.06.21|15:40:32] Done.
[05.06.21|15:40:32] Eval epoch: 97
[05.06.21|15:40:33] 	mean_loss: 0.3407490529884518. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:40:33] Done.
[05.06.21|15:40:33] Training epoch: 98
[05.06.21|15:41:54] 	Iter 8100 Done. | loss: 5.4985 | lr: 0.000907 | tf: 0.679794
[05.06.21|15:42:15] 	mean_loss: 0.35963810651720046. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:42:15] Time consumption:
[05.06.21|15:42:15] Done.
[05.06.21|15:42:15] Eval epoch: 98
[05.06.21|15:42:16] 	mean_loss: 0.3605708545214136. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:42:16] Done.
[05.06.21|15:42:16] Training epoch: 99
[05.06.21|15:43:55] 	mean_loss: 0.34978972034825984. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:43:55] Time consumption:
[05.06.21|15:43:55] Done.
[05.06.21|15:43:55] Eval epoch: 99
[05.06.21|15:43:56] 	mean_loss: 0.3851239619862765. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:43:56] Done.
[05.06.21|15:43:56] Training epoch: 100
[05.06.21|15:43:58] 	Iter 8200 Done. | loss: 6.9923 | lr: 0.000905 | tf: 0.673013
[05.06.21|15:45:38] 	mean_loss: 0.3518512199811542. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:45:38] Time consumption:
[05.06.21|15:45:38] Done.
[05.06.21|15:45:38] Eval epoch: 100
[05.06.21|15:45:39] 	mean_loss: 0.3913631338080355. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:45:39] Done.
[05.06.21|15:46:54] Training epoch: 101
[05.06.21|15:47:18] 	Iter 8300 Done. | loss: 5.5016 | lr: 0.000904 | tf: 0.669648
[05.06.21|15:48:34] 	mean_loss: 0.35713626690403133. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:48:34] Time consumption:
[05.06.21|15:48:34] Done.
[05.06.21|15:48:34] Eval epoch: 101
[05.06.21|15:48:35] 	mean_loss: 0.3127770807112182. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:48:35] Done.
[05.06.21|15:48:35] Training epoch: 102
[05.06.21|15:49:22] 	Iter 8400 Done. | loss: 5.5432 | lr: 0.000903 | tf: 0.666300
[05.06.21|15:50:19] 	mean_loss: 0.3339257840581138. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:50:19] Time consumption:
[05.06.21|15:50:19] Done.
[05.06.21|15:50:19] Eval epoch: 102
[05.06.21|15:50:20] 	mean_loss: 0.4047159837345921. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:50:20] Done.
[05.06.21|15:50:20] Training epoch: 103
[05.06.21|15:51:36] 	Iter 8500 Done. | loss: 5.7817 | lr: 0.000902 | tf: 0.662968
[05.06.21|15:52:25] 	mean_loss: 0.3585578471414206. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:52:25] Time consumption:
[05.06.21|15:52:25] Done.
[05.06.21|15:52:25] Eval epoch: 103
[05.06.21|15:52:29] 	mean_loss: 0.35870050183971125. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:52:29] Done.
[05.06.21|15:52:29] Training epoch: 104
[05.06.21|15:54:47] 	Iter 8600 Done. | loss: 7.2381 | lr: 0.000901 | tf: 0.659653
[05.06.21|15:55:02] 	mean_loss: 0.3426265490401799. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:55:02] Time consumption:
[05.06.21|15:55:02] Done.
[05.06.21|15:55:02] Eval epoch: 104
[05.06.21|15:55:06] 	mean_loss: 0.36096844445371834. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:55:06] Done.
[05.06.21|15:55:06] Training epoch: 105
[05.06.21|15:57:29] 	mean_loss: 0.3522180724752983. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:57:29] Time consumption:
[05.06.21|15:57:29] Done.
[05.06.21|15:57:29] Eval epoch: 105
[05.06.21|15:57:33] 	mean_loss: 0.37869666999591844. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:57:33] Done.
[05.06.21|15:57:33] Training epoch: 106
[05.06.21|15:57:48] 	Iter 8700 Done. | loss: 8.5912 | lr: 0.000899 | tf: 0.653073
[05.06.21|15:59:57] 	mean_loss: 0.3392423662114103. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|15:59:57] Time consumption:
[05.06.21|15:59:57] Done.
[05.06.21|15:59:57] Eval epoch: 106
[05.06.21|16:00:00] 	mean_loss: 0.3633600076952054. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:00:00] Done.
[05.06.21|16:00:00] Training epoch: 107
[05.06.21|16:00:47] 	Iter 8800 Done. | loss: 2.3796 | lr: 0.000898 | tf: 0.649808
[05.06.21|16:02:24] 	mean_loss: 0.34616397113017205. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:02:24] Time consumption:
[05.06.21|16:02:24] Done.
[05.06.21|16:02:24] Eval epoch: 107
[05.06.21|16:02:27] 	mean_loss: 0.3670740459718508. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:02:27] Done.
[05.06.21|16:02:27] Training epoch: 108
[05.06.21|16:03:48] 	Iter 8900 Done. | loss: 3.8295 | lr: 0.000898 | tf: 0.646559
[05.06.21|16:04:53] 	mean_loss: 0.3376705373704515. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:04:53] Time consumption:
[05.06.21|16:04:53] Done.
[05.06.21|16:04:53] Eval epoch: 108
[05.06.21|16:04:56] 	mean_loss: 0.34442793567476554. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:04:56] Done.
[05.06.21|16:04:56] Training epoch: 109
[05.06.21|16:06:47] 	Iter 9000 Done. | loss: 1.3963 | lr: 0.000897 | tf: 0.643326
[05.06.21|16:07:20] 	mean_loss: 0.341475525590222. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:07:20] Time consumption:
[05.06.21|16:07:20] Done.
[05.06.21|16:07:20] Eval epoch: 109
[05.06.21|16:07:23] 	mean_loss: 0.3884838688226976. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:07:23] Done.
[05.06.21|16:07:23] Training epoch: 110
[05.06.21|16:09:46] 	Iter 9100 Done. | loss: 8.7224 | lr: 0.000896 | tf: 0.640109
[05.06.21|16:09:47] 	mean_loss: 0.3411680961438305. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:09:47] Time consumption:
[05.06.21|16:09:47] Done.
[05.06.21|16:09:47] Eval epoch: 110
[05.06.21|16:09:51] 	mean_loss: 0.3567909882818076. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:09:51] Done.
[05.06.21|16:11:09] Training epoch: 111
[05.06.21|16:13:31] 	mean_loss: 0.36167684994084004. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:13:31] Time consumption:
[05.06.21|16:13:31] Done.
[05.06.21|16:13:31] Eval epoch: 111
[05.06.21|16:13:34] 	mean_loss: 0.40666382450918637. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:13:34] Done.
[05.06.21|16:13:34] Training epoch: 112
[05.06.21|16:14:03] 	Iter 9200 Done. | loss: 5.3636 | lr: 0.000894 | tf: 0.633724
[05.06.21|16:15:56] 	mean_loss: 0.35789596853335454. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:15:56] Time consumption:
[05.06.21|16:15:56] Done.
[05.06.21|16:15:56] Eval epoch: 112
[05.06.21|16:15:59] 	mean_loss: 0.3697580134077461. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:15:59] Done.
[05.06.21|16:15:59] Training epoch: 113
[05.06.21|16:17:01] 	Iter 9300 Done. | loss: 3.9228 | lr: 0.000893 | tf: 0.630556
[05.06.21|16:18:23] 	mean_loss: 0.3515423080992726. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:18:23] Time consumption:
[05.06.21|16:18:23] Done.
[05.06.21|16:18:23] Eval epoch: 113
[05.06.21|16:18:26] 	mean_loss: 0.3131078457123553. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:18:26] Done.
[05.06.21|16:18:26] Training epoch: 114
[05.06.21|16:20:01] 	Iter 9400 Done. | loss: 8.7571 | lr: 0.000892 | tf: 0.627403
[05.06.21|16:20:53] 	mean_loss: 0.32996028789844295. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:20:53] Time consumption:
[05.06.21|16:20:53] Done.
[05.06.21|16:20:53] Eval epoch: 114
[05.06.21|16:20:56] 	mean_loss: 0.3573010211501375. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:20:56] Done.
[05.06.21|16:20:56] Training epoch: 115
[05.06.21|16:23:03] 	Iter 9500 Done. | loss: 2.5049 | lr: 0.000891 | tf: 0.624266
[05.06.21|16:23:24] 	mean_loss: 0.34124688577928625. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:23:24] Time consumption:
[05.06.21|16:23:24] Done.
[05.06.21|16:23:24] Eval epoch: 115
[05.06.21|16:23:27] 	mean_loss: 0.353193569301167. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:23:27] Done.
[05.06.21|16:23:27] Training epoch: 116
[05.06.21|16:25:50] 	mean_loss: 0.3744382491594661. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:25:50] Time consumption:
[05.06.21|16:25:50] Done.
[05.06.21|16:25:50] Eval epoch: 116
[05.06.21|16:25:54] 	mean_loss: 0.4143931431864921. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:25:54] Done.
[05.06.21|16:25:54] Training epoch: 117
[05.06.21|16:26:06] 	Iter 9600 Done. | loss: 5.4659 | lr: 0.000890 | tf: 0.618039
[05.06.21|16:28:17] 	mean_loss: 0.36346129458778087. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:28:17] Time consumption:
[05.06.21|16:28:17] Done.
[05.06.21|16:28:17] Eval epoch: 117
[05.06.21|16:28:20] 	mean_loss: 0.381621952173735. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:28:20] Done.
[05.06.21|16:28:20] Training epoch: 118
[05.06.21|16:29:03] 	Iter 9700 Done. | loss: 4.1410 | lr: 0.000889 | tf: 0.614949
[05.06.21|16:30:45] 	mean_loss: 0.33662414901031285. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:30:45] Time consumption:
[05.06.21|16:30:45] Done.
[05.06.21|16:30:45] Eval epoch: 118
[05.06.21|16:30:48] 	mean_loss: 0.3445290718834317. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:30:48] Done.
[05.06.21|16:30:48] Training epoch: 119
[05.06.21|16:32:03] 	Iter 9800 Done. | loss: 10.2743 | lr: 0.000888 | tf: 0.611874
[05.06.21|16:33:11] 	mean_loss: 0.35226813919901917. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:33:11] Time consumption:
[05.06.21|16:33:11] Done.
[05.06.21|16:33:11] Eval epoch: 119
[05.06.21|16:33:14] 	mean_loss: 0.373817129499472. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:33:14] Done.
[05.06.21|16:33:14] Training epoch: 120
[05.06.21|16:35:00] 	Iter 9900 Done. | loss: 7.1829 | lr: 0.000887 | tf: 0.608815
[05.06.21|16:35:38] 	mean_loss: 0.33585110106294175. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:35:38] Time consumption:
[05.06.21|16:35:38] Done.
[05.06.21|16:35:38] Eval epoch: 120
[05.06.21|16:35:41] 	mean_loss: 0.3410026926960591. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:35:41] Done.
[05.06.21|16:36:57] Training epoch: 121
[05.06.21|16:39:13] 	Iter 10000 Done. | loss: 5.5502 | lr: 0.000886 | tf: 0.605770
[05.06.21|16:39:18] 	mean_loss: 0.3525261864135947. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:39:18] Time consumption:
[05.06.21|16:39:18] Done.
[05.06.21|16:39:18] Eval epoch: 121
[05.06.21|16:39:21] 	mean_loss: 0.39250441235416567. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:39:21] Done.
[05.06.21|16:39:21] Training epoch: 122
[05.06.21|16:41:42] 	mean_loss: 0.355398599098312. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:41:42] Time consumption:
[05.06.21|16:41:42] Done.
[05.06.21|16:41:42] Eval epoch: 122
[05.06.21|16:41:46] 	mean_loss: 0.33788098412177214. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:41:46] Done.
[05.06.21|16:41:46] Training epoch: 123
[05.06.21|16:42:11] 	Iter 10100 Done. | loss: 8.4767 | lr: 0.000884 | tf: 0.599728
[05.06.21|16:44:07] 	mean_loss: 0.3328973633160015. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:44:07] Time consumption:
[05.06.21|16:44:07] Done.
[05.06.21|16:44:07] Eval epoch: 123
[05.06.21|16:44:10] 	mean_loss: 0.3436959871744153. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:44:10] Done.
[05.06.21|16:44:10] Training epoch: 124
[05.06.21|16:45:08] 	Iter 10200 Done. | loss: 5.3851 | lr: 0.000883 | tf: 0.596729
[05.06.21|16:46:33] 	mean_loss: 0.3230892584611916. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:46:33] Time consumption:
[05.06.21|16:46:33] Done.
[05.06.21|16:46:33] Eval epoch: 124
[05.06.21|16:46:36] 	mean_loss: 0.3387845176700198. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:46:36] Done.
[05.06.21|16:46:36] Training epoch: 125
[05.06.21|16:48:02] 	Iter 10300 Done. | loss: 2.2432 | lr: 0.000882 | tf: 0.593746
[05.06.21|16:48:57] 	mean_loss: 0.34251833455674635. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:48:57] Time consumption:
[05.06.21|16:48:57] Done.
[05.06.21|16:48:57] Eval epoch: 125
[05.06.21|16:49:00] 	mean_loss: 0.3686826015574151. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:49:00] Done.
[05.06.21|16:49:00] Training epoch: 126
[05.06.21|16:51:01] 	Iter 10400 Done. | loss: 5.4799 | lr: 0.000882 | tf: 0.590777
[05.06.21|16:51:23] 	mean_loss: 0.3549138393453828. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:51:23] Time consumption:
[05.06.21|16:51:23] Done.
[05.06.21|16:51:23] Eval epoch: 126
[05.06.21|16:51:27] 	mean_loss: 0.38432882818066505. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:51:27] Done.
[05.06.21|16:51:27] Training epoch: 127
[05.06.21|16:53:50] 	mean_loss: 0.3536464742230505. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:53:50] Time consumption:
[05.06.21|16:53:50] Done.
[05.06.21|16:53:50] Eval epoch: 127
[05.06.21|16:53:53] 	mean_loss: 0.36879637464322207. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:53:53] Done.
[05.06.21|16:53:53] Training epoch: 128
[05.06.21|16:54:02] 	Iter 10500 Done. | loss: 5.7010 | lr: 0.000880 | tf: 0.584884
[05.06.21|16:56:11] 	mean_loss: 0.36653382746197183. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:56:11] Time consumption:
[05.06.21|16:56:11] Done.
[05.06.21|16:56:11] Eval epoch: 128
[05.06.21|16:56:15] 	mean_loss: 0.37662123534389147. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:56:15] Done.
[05.06.21|16:56:15] Training epoch: 129
[05.06.21|16:56:54] 	Iter 10600 Done. | loss: 8.8899 | lr: 0.000879 | tf: 0.581959
[05.06.21|16:58:39] 	mean_loss: 0.3213972328411942. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:58:39] Time consumption:
[05.06.21|16:58:39] Done.
[05.06.21|16:58:39] Eval epoch: 129
[05.06.21|16:58:42] 	mean_loss: 0.35317167815583744. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|16:58:42] Done.
[05.06.21|16:58:42] Training epoch: 130
[05.06.21|16:59:54] 	Iter 10700 Done. | loss: 8.6026 | lr: 0.000878 | tf: 0.579050
[05.06.21|17:01:06] 	mean_loss: 0.3541564110909047. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:01:06] Time consumption:
[05.06.21|17:01:06] Done.
[05.06.21|17:01:06] Eval epoch: 130
[05.06.21|17:01:09] 	mean_loss: 0.3708657580963418. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:01:09] Done.
[05.06.21|17:02:29] Training epoch: 131
[05.06.21|17:04:17] 	Iter 10800 Done. | loss: 5.8276 | lr: 0.000877 | tf: 0.576154
[05.06.21|17:04:58] 	mean_loss: 0.34707204447270734. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:04:58] Time consumption:
[05.06.21|17:04:58] Done.
[05.06.21|17:04:58] Eval epoch: 131
[05.06.21|17:05:02] 	mean_loss: 0.335290308442387. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:05:02] Done.
[05.06.21|17:05:02] Training epoch: 132
[05.06.21|17:07:23] 	Iter 10900 Done. | loss: 7.0537 | lr: 0.000876 | tf: 0.573274
[05.06.21|17:07:32] 	mean_loss: 0.3389889811935709. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:07:32] Time consumption:
[05.06.21|17:07:32] Done.
[05.06.21|17:07:32] Eval epoch: 132
[05.06.21|17:07:35] 	mean_loss: 0.36860748245503866. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:07:35] Done.
[05.06.21|17:07:35] Training epoch: 133
[05.06.21|17:10:02] 	mean_loss: 0.37456467510194685. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:10:02] Time consumption:
[05.06.21|17:10:02] Done.
[05.06.21|17:10:02] Eval epoch: 133
[05.06.21|17:10:06] 	mean_loss: 0.3512745785040806. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:10:06] Done.
[05.06.21|17:10:06] Training epoch: 134
[05.06.21|17:10:29] 	Iter 11000 Done. | loss: 4.2686 | lr: 0.000875 | tf: 0.567555
[05.06.21|17:12:37] 	mean_loss: 0.35559032742006136. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:12:37] Time consumption:
[05.06.21|17:12:37] Done.
[05.06.21|17:12:37] Eval epoch: 134
[05.06.21|17:12:40] 	mean_loss: 0.42262624946179184. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:12:40] Done.
[05.06.21|17:12:40] Training epoch: 135
[05.06.21|17:13:36] 	Iter 11100 Done. | loss: 3.5129 | lr: 0.000874 | tf: 0.564717
[05.06.21|17:15:07] 	mean_loss: 0.37375497361638427. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:15:07] Time consumption:
[05.06.21|17:15:07] Done.
[05.06.21|17:15:07] Eval epoch: 135
[05.06.21|17:15:10] 	mean_loss: 0.38093236795017604. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:15:10] Done.
[05.06.21|17:15:10] Training epoch: 136
[05.06.21|17:16:33] 	Iter 11200 Done. | loss: 10.5064 | lr: 0.000873 | tf: 0.561894
[05.06.21|17:17:31] 	mean_loss: 0.38429127858205714. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:17:31] Time consumption:
[05.06.21|17:17:31] Done.
[05.06.21|17:17:31] Eval epoch: 136
[05.06.21|17:17:33] 	mean_loss: 0.4037403167542988. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:17:33] Done.
[05.06.21|17:17:33] Training epoch: 137
[05.06.21|17:19:29] 	Iter 11300 Done. | loss: 5.6599 | lr: 0.000872 | tf: 0.559084
[05.06.21|17:19:55] 	mean_loss: 0.38673588111035745. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:19:55] Time consumption:
[05.06.21|17:19:55] Done.
[05.06.21|17:19:55] Eval epoch: 137
[05.06.21|17:19:58] 	mean_loss: 0.3816895904824091. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:19:58] Done.
[05.06.21|17:19:58] Training epoch: 138
[05.06.21|17:22:26] 	mean_loss: 0.3832024290882069. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:22:26] Time consumption:
[05.06.21|17:22:26] Done.
[05.06.21|17:22:26] Eval epoch: 138
[05.06.21|17:22:29] 	mean_loss: 0.3388893335611446. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:22:29] Done.
[05.06.21|17:22:29] Training epoch: 139
[05.06.21|17:22:35] 	Iter 11400 Done. | loss: 2.8682 | lr: 0.000870 | tf: 0.553508
[05.06.21|17:24:55] 	mean_loss: 0.3906590935176809. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:24:55] Time consumption:
[05.06.21|17:24:55] Done.
[05.06.21|17:24:55] Eval epoch: 139
[05.06.21|17:24:58] 	mean_loss: 0.3852791068404087. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:24:58] Done.
[05.06.21|17:24:58] Training epoch: 140
[05.06.21|17:25:36] 	Iter 11500 Done. | loss: 4.1393 | lr: 0.000869 | tf: 0.550740
[05.06.21|17:27:27] 	mean_loss: 0.35042654380986277. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:27:27] Time consumption:
[05.06.21|17:27:27] Done.
[05.06.21|17:27:27] Eval epoch: 140
[05.06.21|17:27:30] 	mean_loss: 0.40583092986713376. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:27:30] Done.
[05.06.21|17:28:54] Training epoch: 141
[05.06.21|17:30:03] 	Iter 11600 Done. | loss: 5.7865 | lr: 0.000868 | tf: 0.547986
[05.06.21|17:31:20] 	mean_loss: 0.3738200337201054. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:31:20] Time consumption:
[05.06.21|17:31:20] Done.
[05.06.21|17:31:20] Eval epoch: 141
[05.06.21|17:31:23] 	mean_loss: 0.39495353998021876. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:31:23] Done.
[05.06.21|17:31:23] Training epoch: 142
[05.06.21|17:33:09] 	Iter 11700 Done. | loss: 2.7204 | lr: 0.000868 | tf: 0.545246
[05.06.21|17:33:55] 	mean_loss: 0.33165074853347093. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:33:55] Time consumption:
[05.06.21|17:33:55] Done.
[05.06.21|17:33:55] Eval epoch: 142
[05.06.21|17:33:59] 	mean_loss: 0.37109083207263105. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:33:59] Done.
[05.06.21|17:33:59] Training epoch: 143
[05.06.21|17:36:08] 	Iter 11800 Done. | loss: 7.5013 | lr: 0.000867 | tf: 0.542520
[05.06.21|17:36:18] 	mean_loss: 0.329662594233201. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:36:18] Time consumption:
[05.06.21|17:36:18] Done.
[05.06.21|17:36:18] Eval epoch: 143
[05.06.21|17:36:19] 	mean_loss: 0.34468971582980323. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:36:19] Done.
[05.06.21|17:36:19] Training epoch: 144
[05.06.21|17:38:14] 	mean_loss: 0.3441697390340027. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:38:14] Time consumption:
[05.06.21|17:38:14] Done.
[05.06.21|17:38:14] Eval epoch: 144
[05.06.21|17:38:15] 	mean_loss: 0.32550246075177347. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:38:15] Done.
[05.06.21|17:38:15] Training epoch: 145
[05.06.21|17:38:31] 	Iter 11900 Done. | loss: 5.6618 | lr: 0.000865 | tf: 0.537108
[05.06.21|17:40:30] 	mean_loss: 13.186698938971803. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:40:30] Time consumption:
[05.06.21|17:40:30] Done.
[05.06.21|17:40:30] Eval epoch: 145
[05.06.21|17:40:34] 	mean_loss: 0.3892323826203423. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:40:34] Done.
[05.06.21|17:40:34] Training epoch: 146
[05.06.21|17:41:24] 	Iter 12000 Done. | loss: 6.3702 | lr: 0.000864 | tf: 0.534423
[05.06.21|17:42:34] 	mean_loss: 0.31336588769368096. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:42:34] Time consumption:
[05.06.21|17:42:34] Done.
[05.06.21|17:42:34] Eval epoch: 146
[05.06.21|17:42:35] 	mean_loss: 0.35839903204807677. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:42:35] Done.
[05.06.21|17:42:35] Training epoch: 147
[05.06.21|17:43:33] 	Iter 12100 Done. | loss: 5.5952 | lr: 0.000863 | tf: 0.531751
[05.06.21|17:44:16] 	mean_loss: 0.3519901124712624. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:44:16] Time consumption:
[05.06.21|17:44:16] Done.
[05.06.21|17:44:16] Eval epoch: 147
[05.06.21|17:44:17] 	mean_loss: 0.3856953211580473. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:44:17] Done.
[05.06.21|17:44:17] Training epoch: 148
[05.06.21|17:45:38] 	Iter 12200 Done. | loss: 7.1652 | lr: 0.000862 | tf: 0.529092
[05.06.21|17:46:01] 	mean_loss: 0.339322050640733. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:46:01] Time consumption:
[05.06.21|17:46:01] Done.
[05.06.21|17:46:01] Eval epoch: 148
[05.06.21|17:46:02] 	mean_loss: 0.3246412936715385. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:46:02] Done.
[05.06.21|17:46:02] Training epoch: 149
[05.06.21|17:47:51] 	mean_loss: 0.33590553400303447. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:47:51] Time consumption:
[05.06.21|17:47:51] Done.
[05.06.21|17:47:51] Eval epoch: 149
[05.06.21|17:47:52] 	mean_loss: 0.34589906186945807. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:47:52] Done.
[05.06.21|17:47:52] Training epoch: 150
[05.06.21|17:47:53] 	Iter 12300 Done. | loss: 2.1802 | lr: 0.000861 | tf: 0.523814
[05.06.21|17:49:38] 	mean_loss: 0.36997415831685143. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:49:38] Time consumption:
[05.06.21|17:49:38] Done.
[05.06.21|17:49:38] Eval epoch: 150
[05.06.21|17:49:39] 	mean_loss: 0.30913825906084774. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:49:39] Done.
[05.06.21|17:50:59] Training epoch: 151
[05.06.21|17:51:25] 	Iter 12400 Done. | loss: 1.4779 | lr: 0.000860 | tf: 0.521195
[05.06.21|17:52:50] 	mean_loss: 0.3389726801565979. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:52:50] Time consumption:
[05.06.21|17:52:50] Done.
[05.06.21|17:52:50] Eval epoch: 151
[05.06.21|17:52:51] 	mean_loss: 0.33347950489899636. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:52:51] Done.
[05.06.21|17:52:51] Training epoch: 152
[05.06.21|17:53:39] 	Iter 12500 Done. | loss: 2.6782 | lr: 0.000859 | tf: 0.518589
[05.06.21|17:54:39] 	mean_loss: 0.3469846094151146. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:54:39] Time consumption:
[05.06.21|17:54:39] Done.
[05.06.21|17:54:39] Eval epoch: 152
[05.06.21|17:54:40] 	mean_loss: 0.39682335623566456. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:54:40] Done.
[05.06.21|17:54:40] Training epoch: 153
[05.06.21|17:55:52] 	Iter 12600 Done. | loss: 3.7776 | lr: 0.000858 | tf: 0.515996
[05.06.21|17:56:26] 	mean_loss: 0.33060207523604895. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:56:26] Time consumption:
[05.06.21|17:56:26] Done.
[05.06.21|17:56:26] Eval epoch: 153
[05.06.21|17:56:27] 	mean_loss: 0.34958200528785943. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:56:27] Done.
[05.06.21|17:56:27] Training epoch: 154
[05.06.21|17:58:05] 	Iter 12700 Done. | loss: 5.2030 | lr: 0.000857 | tf: 0.513416
[05.06.21|17:58:17] 	mean_loss: 0.3261867734796308. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:58:17] Time consumption:
[05.06.21|17:58:17] Done.
[05.06.21|17:58:17] Eval epoch: 154
[05.06.21|17:58:19] 	mean_loss: 0.34309407148702886. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|17:58:19] Done.
[05.06.21|17:58:19] Training epoch: 155
[05.06.21|18:00:07] 	mean_loss: 0.33563448818180863. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:00:07] Time consumption:
[05.06.21|18:00:07] Done.
[05.06.21|18:00:07] Eval epoch: 155
[05.06.21|18:00:08] 	mean_loss: 0.3917869702492888. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:00:08] Done.
[05.06.21|18:00:08] Training epoch: 156
[05.06.21|18:00:20] 	Iter 12800 Done. | loss: 5.3866 | lr: 0.000855 | tf: 0.508295
[05.06.21|18:01:54] 	mean_loss: 0.362767908255044. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:01:54] Time consumption:
[05.06.21|18:01:54] Done.
[05.06.21|18:01:54] Eval epoch: 156
[05.06.21|18:01:56] 	mean_loss: 0.4018382758542952. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:01:56] Done.
[05.06.21|18:01:56] Training epoch: 157
[05.06.21|18:02:32] 	Iter 12900 Done. | loss: 2.2909 | lr: 0.000855 | tf: 0.505754
[05.06.21|18:03:45] 	mean_loss: 0.32603688295587546. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:03:45] Time consumption:
[05.06.21|18:03:45] Done.
[05.06.21|18:03:45] Eval epoch: 157
[05.06.21|18:03:46] 	mean_loss: 0.3496832956962875. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:03:46] Done.
[05.06.21|18:03:46] Training epoch: 158
[05.06.21|18:04:47] 	Iter 13000 Done. | loss: 2.3851 | lr: 0.000854 | tf: 0.503225
[05.06.21|18:05:38] 	mean_loss: 0.32643356669307383. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:05:38] Time consumption:
[05.06.21|18:05:38] Done.
[05.06.21|18:05:38] Eval epoch: 158
[05.06.21|18:05:39] 	mean_loss: 0.37594434949799893. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:05:39] Done.
[05.06.21|18:05:39] Training epoch: 159
[05.06.21|18:07:00] 	Iter 13100 Done. | loss: 5.4252 | lr: 0.000853 | tf: 0.500709
[05.06.21|18:07:24] 	mean_loss: 0.3531066381468151. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:07:24] Time consumption:
[05.06.21|18:07:24] Done.
[05.06.21|18:07:24] Eval epoch: 159
[05.06.21|18:07:26] 	mean_loss: 0.38987446060947395. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:07:26] Done.
[05.06.21|18:07:26] Training epoch: 160
[05.06.21|18:09:11] 	Iter 13200 Done. | loss: 7.1828 | lr: 0.000852 | tf: 0.498205
[05.06.21|18:09:13] 	mean_loss: 0.3130103349903519. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:09:13] Time consumption:
[05.06.21|18:09:13] Done.
[05.06.21|18:09:13] Eval epoch: 160
[05.06.21|18:09:14] 	mean_loss: 0.39877282830224686. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:09:14] Done.
[05.06.21|18:10:29] Training epoch: 161
[05.06.21|18:12:13] 	mean_loss: 0.3265424854378836. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:12:13] Time consumption:
[05.06.21|18:12:13] Done.
[05.06.21|18:12:13] Eval epoch: 161
[05.06.21|18:12:14] 	mean_loss: 0.378157550043399. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:12:14] Done.
[05.06.21|18:12:14] Training epoch: 162
[05.06.21|18:12:37] 	Iter 13300 Done. | loss: 6.3848 | lr: 0.000850 | tf: 0.493236
[05.06.21|18:13:59] 	mean_loss: 0.32716891645804924. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:13:59] Time consumption:
[05.06.21|18:13:59] Done.
[05.06.21|18:13:59] Eval epoch: 162
[05.06.21|18:14:00] 	mean_loss: 0.3626197916575721. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:14:00] Done.
[05.06.21|18:14:00] Training epoch: 163
[05.06.21|18:14:45] 	Iter 13400 Done. | loss: 5.9985 | lr: 0.000850 | tf: 0.490769
[05.06.21|18:15:44] 	mean_loss: 0.3491222673723376. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:15:44] Time consumption:
[05.06.21|18:15:44] Done.
[05.06.21|18:15:44] Eval epoch: 163
[05.06.21|18:15:45] 	mean_loss: 0.36948670020956886. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:15:45] Done.
[05.06.21|18:15:45] Training epoch: 164
[05.06.21|18:16:51] 	Iter 13500 Done. | loss: 3.8149 | lr: 0.000849 | tf: 0.488316
[05.06.21|18:17:29] 	mean_loss: 0.35128807179967136. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:17:29] Time consumption:
[05.06.21|18:17:29] Done.
[05.06.21|18:17:29] Eval epoch: 164
[05.06.21|18:17:30] 	mean_loss: 0.3127825033830315. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:17:30] Done.
[05.06.21|18:17:30] Training epoch: 165
[05.06.21|18:19:04] 	Iter 13600 Done. | loss: 7.1001 | lr: 0.000848 | tf: 0.485874
[05.06.21|18:19:19] 	mean_loss: 0.3047918675890791. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:19:19] Time consumption:
[05.06.21|18:19:19] Done.
[05.06.21|18:19:19] Eval epoch: 165
[05.06.21|18:19:20] 	mean_loss: 0.34229529565515626. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:19:20] Done.
[05.06.21|18:19:20] Training epoch: 166
[05.06.21|18:21:02] 	mean_loss: 0.35492131445040676. Best so far: 0.3052607341037007 (epoch: 80).
[05.06.21|18:21:02] Time consumption:
[05.06.21|18:21:02] Done.
[05.06.21|18:21:02] Eval epoch: 166
[05.06.21|18:21:03] 	mean_loss: 0.2739738822716272. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:21:03] Done.
[05.06.21|18:22:13] Training epoch: 167
[05.06.21|18:22:23] 	Iter 13700 Done. | loss: 2.5727 | lr: 0.000846 | tf: 0.481027
[05.06.21|18:23:53] 	mean_loss: 0.358435557491339. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:23:53] Time consumption:
[05.06.21|18:23:53] Done.
[05.06.21|18:23:53] Eval epoch: 167
[05.06.21|18:23:54] 	mean_loss: 0.3465351798552165. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:23:54] Done.
[05.06.21|18:23:54] Training epoch: 168
[05.06.21|18:24:25] 	Iter 13800 Done. | loss: 3.7278 | lr: 0.000845 | tf: 0.478622
[05.06.21|18:25:33] 	mean_loss: 0.3415291570179573. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:25:33] Time consumption:
[05.06.21|18:25:33] Done.
[05.06.21|18:25:33] Eval epoch: 168
[05.06.21|18:25:34] 	mean_loss: 0.330842180072191. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:25:34] Done.
[05.06.21|18:25:34] Training epoch: 169
[05.06.21|18:26:28] 	Iter 13900 Done. | loss: 1.6864 | lr: 0.000844 | tf: 0.476229
[05.06.21|18:27:18] 	mean_loss: 0.32949764793430864. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:27:18] Time consumption:
[05.06.21|18:27:18] Done.
[05.06.21|18:27:18] Eval epoch: 169
[05.06.21|18:27:19] 	mean_loss: 0.34135874745971995. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:27:19] Done.
[05.06.21|18:27:19] Training epoch: 170
[05.06.21|18:28:33] 	Iter 14000 Done. | loss: 2.2773 | lr: 0.000844 | tf: 0.473848
[05.06.21|18:28:58] 	mean_loss: 0.3570321517834156. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:28:58] Time consumption:
[05.06.21|18:28:58] Done.
[05.06.21|18:28:58] Eval epoch: 170
[05.06.21|18:28:59] 	mean_loss: 0.35550395494166304. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:28:59] Done.
[05.06.21|18:30:09] Training epoch: 171
[05.06.21|18:31:46] 	Iter 14100 Done. | loss: 5.6946 | lr: 0.000843 | tf: 0.471479
[05.06.21|18:31:50] 	mean_loss: 0.33269633018836653. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:31:50] Time consumption:
[05.06.21|18:31:50] Done.
[05.06.21|18:31:50] Eval epoch: 171
[05.06.21|18:31:51] 	mean_loss: 0.3492344468586907. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:31:51] Done.
[05.06.21|18:31:51] Training epoch: 172
[05.06.21|18:33:30] 	mean_loss: 0.3346305074292484. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:33:30] Time consumption:
[05.06.21|18:33:30] Done.
[05.06.21|18:33:30] Eval epoch: 172
[05.06.21|18:33:31] 	mean_loss: 0.3742341973184492. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:33:31] Done.
[05.06.21|18:33:31] Training epoch: 173
[05.06.21|18:33:49] 	Iter 14200 Done. | loss: 2.3571 | lr: 0.000841 | tf: 0.466776
[05.06.21|18:35:13] 	mean_loss: 0.3327802205022126. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:35:13] Time consumption:
[05.06.21|18:35:13] Done.
[05.06.21|18:35:13] Eval epoch: 173
[05.06.21|18:35:14] 	mean_loss: 0.3907237413081502. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:35:14] Done.
[05.06.21|18:35:14] Training epoch: 174
[05.06.21|18:36:10] 	Iter 14300 Done. | loss: 8.1313 | lr: 0.000840 | tf: 0.464442
[05.06.21|18:37:44] 	mean_loss: 0.35113597855182305. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:37:44] Time consumption:
[05.06.21|18:37:44] Done.
[05.06.21|18:37:44] Eval epoch: 174
[05.06.21|18:37:46] 	mean_loss: 0.36860938519610487. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:37:46] Done.
[05.06.21|18:37:46] Training epoch: 175
[05.06.21|18:39:04] 	Iter 14400 Done. | loss: 7.1788 | lr: 0.000839 | tf: 0.462120
[05.06.21|18:39:53] 	mean_loss: 0.32814079665432544. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:39:53] Time consumption:
[05.06.21|18:39:53] Done.
[05.06.21|18:39:53] Eval epoch: 175
[05.06.21|18:39:58] 	mean_loss: 0.41318366010158486. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:39:58] Done.
[05.06.21|18:39:58] Training epoch: 176
[05.06.21|18:42:19] 	Iter 14500 Done. | loss: 4.8688 | lr: 0.000839 | tf: 0.459809
[05.06.21|18:42:44] 	mean_loss: 0.3705230790423929. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:42:44] Time consumption:
[05.06.21|18:42:44] Done.
[05.06.21|18:42:44] Eval epoch: 176
[05.06.21|18:42:48] 	mean_loss: 0.3826328960757438. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:42:48] Done.
[05.06.21|18:42:48] Training epoch: 177
[05.06.21|18:44:50] 	mean_loss: 0.3314589413524063. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:44:50] Time consumption:
[05.06.21|18:44:50] Done.
[05.06.21|18:44:50] Eval epoch: 177
[05.06.21|18:44:51] 	mean_loss: 0.36835323868429215. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:44:51] Done.
[05.06.21|18:44:51] Training epoch: 178
[05.06.21|18:44:59] 	Iter 14600 Done. | loss: 8.9178 | lr: 0.000837 | tf: 0.455222
[05.06.21|18:47:24] 	mean_loss: 0.3720289436330101. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:47:24] Time consumption:
[05.06.21|18:47:24] Done.
[05.06.21|18:47:24] Eval epoch: 178
[05.06.21|18:47:25] 	mean_loss: 0.40459945117688056. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:47:25] Done.
[05.06.21|18:47:25] Training epoch: 179
[05.06.21|18:47:55] 	Iter 14700 Done. | loss: 2.4140 | lr: 0.000836 | tf: 0.452946
[05.06.21|18:49:16] 	mean_loss: 0.3379044501616641. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:49:16] Time consumption:
[05.06.21|18:49:16] Done.
[05.06.21|18:49:16] Eval epoch: 179
[05.06.21|18:49:17] 	mean_loss: 0.37558399215301647. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:49:17] Done.
[05.06.21|18:49:17] Training epoch: 180
[05.06.21|18:50:10] 	Iter 14800 Done. | loss: 2.0880 | lr: 0.000835 | tf: 0.450682
[05.06.21|18:51:02] 	mean_loss: 0.3430977516583643. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:51:02] Time consumption:
[05.06.21|18:51:02] Done.
[05.06.21|18:51:02] Eval epoch: 180
[05.06.21|18:51:03] 	mean_loss: 0.4091260945455918. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:51:03] Done.
[05.06.21|18:52:20] Training epoch: 181
[05.06.21|18:53:43] 	Iter 14900 Done. | loss: 5.7036 | lr: 0.000834 | tf: 0.448428
[05.06.21|18:54:15] 	mean_loss: 0.3762231579155138. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:54:15] Time consumption:
[05.06.21|18:54:15] Done.
[05.06.21|18:54:15] Eval epoch: 181
[05.06.21|18:54:16] 	mean_loss: 0.371230142500168. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:54:16] Done.
[05.06.21|18:54:16] Training epoch: 182
[05.06.21|18:56:00] 	Iter 15000 Done. | loss: 5.2762 | lr: 0.000834 | tf: 0.446186
[05.06.21|18:56:07] 	mean_loss: 0.3274926967271445. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:56:07] Time consumption:
[05.06.21|18:56:07] Done.
[05.06.21|18:56:07] Eval epoch: 182
[05.06.21|18:56:09] 	mean_loss: 0.373599807577739. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:56:09] Done.
[05.06.21|18:56:09] Training epoch: 183
[05.06.21|18:58:05] 	mean_loss: 0.3419186837170736. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:58:05] Time consumption:
[05.06.21|18:58:05] Done.
[05.06.21|18:58:05] Eval epoch: 183
[05.06.21|18:58:06] 	mean_loss: 0.36887857588444334. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|18:58:06] Done.
[05.06.21|18:58:06] Training epoch: 184
[05.06.21|18:58:27] 	Iter 15100 Done. | loss: 2.7997 | lr: 0.000832 | tf: 0.441735
[05.06.21|19:00:02] 	mean_loss: 0.3353457733964006. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:00:02] Time consumption:
[05.06.21|19:00:02] Done.
[05.06.21|19:00:02] Eval epoch: 184
[05.06.21|19:00:03] 	mean_loss: 0.38018446669936307. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:00:03] Done.
[05.06.21|19:00:03] Training epoch: 185
[05.06.21|19:00:48] 	Iter 15200 Done. | loss: 3.8205 | lr: 0.000831 | tf: 0.439527
[05.06.21|19:02:02] 	mean_loss: 0.35365843076246595. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:02:02] Time consumption:
[05.06.21|19:02:02] Done.
[05.06.21|19:02:02] Eval epoch: 185
[05.06.21|19:02:03] 	mean_loss: 0.4156024426770883. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:02:03] Done.
[05.06.21|19:02:03] Training epoch: 186
[05.06.21|19:03:16] 	Iter 15300 Done. | loss: 5.4808 | lr: 0.000830 | tf: 0.437329
[05.06.21|19:04:09] 	mean_loss: 0.3658048812324883. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:04:09] Time consumption:
[05.06.21|19:04:09] Done.
[05.06.21|19:04:09] Eval epoch: 186
[05.06.21|19:04:12] 	mean_loss: 0.3681715031339254. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:04:12] Done.
[05.06.21|19:04:12] Training epoch: 187
[05.06.21|19:05:50] 	Iter 15400 Done. | loss: 8.5135 | lr: 0.000829 | tf: 0.435142
[05.06.21|19:06:13] 	mean_loss: 0.34705013893641534. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:06:13] Time consumption:
[05.06.21|19:06:13] Done.
[05.06.21|19:06:13] Eval epoch: 187
[05.06.21|19:06:15] 	mean_loss: 0.35590290915353917. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:06:15] Done.
[05.06.21|19:06:15] Training epoch: 188
[05.06.21|19:08:18] 	mean_loss: 0.3288652410224809. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:08:18] Time consumption:
[05.06.21|19:08:18] Done.
[05.06.21|19:08:18] Eval epoch: 188
[05.06.21|19:08:19] 	mean_loss: 0.3724106955032756. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:08:19] Done.
[05.06.21|19:08:19] Training epoch: 189
[05.06.21|19:08:24] 	Iter 15500 Done. | loss: 8.6218 | lr: 0.000828 | tf: 0.430802
[05.06.21|19:10:29] 	mean_loss: 0.3372312229349384. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:10:29] Time consumption:
[05.06.21|19:10:29] Done.
[05.06.21|19:10:29] Eval epoch: 189
[05.06.21|19:10:32] 	mean_loss: 0.37733190559962193. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:10:32] Done.
[05.06.21|19:10:32] Training epoch: 190
[05.06.21|19:11:04] 	Iter 15600 Done. | loss: 2.5603 | lr: 0.000827 | tf: 0.428648
[05.06.21|19:12:41] 	mean_loss: 0.306827254970347. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:12:41] Time consumption:
[05.06.21|19:12:41] Done.
[05.06.21|19:12:41] Eval epoch: 190
[05.06.21|19:12:43] 	mean_loss: 0.3860737230605319. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:12:43] Done.
[05.06.21|19:13:59] Training epoch: 191
[05.06.21|19:14:58] 	Iter 15700 Done. | loss: 5.3817 | lr: 0.000826 | tf: 0.426505
[05.06.21|19:16:11] 	mean_loss: 0.3415068346594946. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:16:11] Time consumption:
[05.06.21|19:16:11] Done.
[05.06.21|19:16:11] Eval epoch: 191
[05.06.21|19:16:13] 	mean_loss: 0.3973551453621734. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:16:13] Done.
[05.06.21|19:16:13] Training epoch: 192
[05.06.21|19:17:43] 	Iter 15800 Done. | loss: 6.8212 | lr: 0.000825 | tf: 0.424372
[05.06.21|19:18:31] 	mean_loss: 0.3539270257802813. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:18:31] Time consumption:
[05.06.21|19:18:31] Done.
[05.06.21|19:18:31] Eval epoch: 192
[05.06.21|19:18:34] 	mean_loss: 0.3809425193517315. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:18:34] Done.
[05.06.21|19:18:34] Training epoch: 193
[05.06.21|19:20:26] 	Iter 15900 Done. | loss: 5.5676 | lr: 0.000824 | tf: 0.422250
[05.06.21|19:20:35] 	mean_loss: 0.33069624634545225. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:20:35] Time consumption:
[05.06.21|19:20:35] Done.
[05.06.21|19:20:35] Eval epoch: 193
[05.06.21|19:20:37] 	mean_loss: 0.33770974509369556. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:20:37] Done.
[05.06.21|19:20:37] Training epoch: 194
[05.06.21|19:22:36] 	mean_loss: 0.3388293697880048. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:22:36] Time consumption:
[05.06.21|19:22:36] Done.
[05.06.21|19:22:36] Eval epoch: 194
[05.06.21|19:22:38] 	mean_loss: 0.3426372966980836. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:22:38] Done.
[05.06.21|19:22:38] Training epoch: 195
[05.06.21|19:22:55] 	Iter 16000 Done. | loss: 2.0842 | lr: 0.000823 | tf: 0.418038
[05.06.21|19:24:34] 	mean_loss: 0.3400904764749791. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:24:34] Time consumption:
[05.06.21|19:24:34] Done.
[05.06.21|19:24:34] Eval epoch: 195
[05.06.21|19:24:36] 	mean_loss: 0.3538788703095238. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:24:36] Done.
[05.06.21|19:24:36] Training epoch: 196
[05.06.21|19:25:20] 	Iter 16100 Done. | loss: 6.1812 | lr: 0.000822 | tf: 0.415948
[05.06.21|19:26:43] 	mean_loss: 0.3222906898295699. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:26:43] Time consumption:
[05.06.21|19:26:43] Done.
[05.06.21|19:26:43] Eval epoch: 196
[05.06.21|19:26:45] 	mean_loss: 0.3876217793862154. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:26:45] Done.
[05.06.21|19:26:45] Training epoch: 197
[05.06.21|19:27:55] 	Iter 16200 Done. | loss: 3.8979 | lr: 0.000821 | tf: 0.413868
[05.06.21|19:28:48] 	mean_loss: 0.3537412322924747. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:28:48] Time consumption:
[05.06.21|19:28:48] Done.
[05.06.21|19:28:48] Eval epoch: 197
[05.06.21|19:28:49] 	mean_loss: 0.3861907033599482. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:28:49] Done.
[05.06.21|19:28:49] Training epoch: 198
[05.06.21|19:30:24] 	Iter 16300 Done. | loss: 3.7941 | lr: 0.000820 | tf: 0.411799
[05.06.21|19:30:50] 	mean_loss: 0.3432685034863685. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:30:50] Time consumption:
[05.06.21|19:30:50] Done.
[05.06.21|19:30:50] Eval epoch: 198
[05.06.21|19:30:51] 	mean_loss: 0.38753556605743683. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:30:51] Done.
[05.06.21|19:30:51] Training epoch: 199
[05.06.21|19:32:54] 	mean_loss: 0.33175371303511797. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:32:54] Time consumption:
[05.06.21|19:32:54] Done.
[05.06.21|19:32:54] Eval epoch: 199
[05.06.21|19:32:55] 	mean_loss: 0.3482543566397932. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:32:55] Done.
[05.06.21|19:32:55] Training epoch: 200
[05.06.21|19:32:56] 	Iter 16400 Done. | loss: 6.8460 | lr: 0.000819 | tf: 0.407691
[05.06.21|19:35:04] 	mean_loss: 0.3434082855306737. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:35:04] Time consumption:
[05.06.21|19:35:04] Done.
[05.06.21|19:35:04] Eval epoch: 200
[05.06.21|19:35:06] 	mean_loss: 0.3509003789137079. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:35:06] Done.
[05.06.21|19:36:26] Training epoch: 201
[05.06.21|19:36:57] 	Iter 16500 Done. | loss: 5.5257 | lr: 0.000818 | tf: 0.405653
[05.06.21|19:38:35] 	mean_loss: 0.33556896323884. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:38:35] Time consumption:
[05.06.21|19:38:35] Done.
[05.06.21|19:38:35] Eval epoch: 201
[05.06.21|19:38:37] 	mean_loss: 0.41080436741372556. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:38:37] Done.
[05.06.21|19:38:37] Training epoch: 202
[05.06.21|19:39:32] 	Iter 16600 Done. | loss: 1.9074 | lr: 0.000817 | tf: 0.403625
[05.06.21|19:40:43] 	mean_loss: 1.004092401906682. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:40:43] Time consumption:
[05.06.21|19:40:43] Done.
[05.06.21|19:40:43] Eval epoch: 202
[05.06.21|19:40:45] 	mean_loss: 0.40180892233557286. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:40:45] Done.
[05.06.21|19:40:45] Training epoch: 203
[05.06.21|19:42:00] 	Iter 16700 Done. | loss: 11.2092 | lr: 0.000816 | tf: 0.401606
[05.06.21|19:42:38] 	mean_loss: 0.3516766905906547. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:42:38] Time consumption:
[05.06.21|19:42:38] Done.
[05.06.21|19:42:38] Eval epoch: 203
[05.06.21|19:42:40] 	mean_loss: 0.40333049484507216. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:42:40] Done.
[05.06.21|19:42:40] Training epoch: 204
[05.06.21|19:44:32] 	Iter 16800 Done. | loss: 4.0203 | lr: 0.000815 | tf: 0.399598
[05.06.21|19:44:45] 	mean_loss: 0.3321083268742368. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:44:45] Time consumption:
[05.06.21|19:44:45] Done.
[05.06.21|19:44:45] Eval epoch: 204
[05.06.21|19:44:47] 	mean_loss: 0.3827982831372153. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:44:47] Done.
[05.06.21|19:44:47] Training epoch: 205
[05.06.21|19:46:56] 	mean_loss: 0.3023557633940966. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:46:56] Time consumption:
[05.06.21|19:46:56] Done.
[05.06.21|19:46:56] Eval epoch: 205
[05.06.21|19:46:58] 	mean_loss: 0.3023174123139203. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:46:58] Done.
[05.06.21|19:46:58] Training epoch: 206
[05.06.21|19:47:13] 	Iter 16900 Done. | loss: 2.7425 | lr: 0.000814 | tf: 0.395612
[05.06.21|19:49:08] 	mean_loss: 0.33893734982597423. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:49:08] Time consumption:
[05.06.21|19:49:08] Done.
[05.06.21|19:49:08] Eval epoch: 206
[05.06.21|19:49:09] 	mean_loss: 0.3564157924684143. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:49:09] Done.
[05.06.21|19:49:09] Training epoch: 207
[05.06.21|19:49:49] 	Iter 17000 Done. | loss: 9.5800 | lr: 0.000813 | tf: 0.393634
[05.06.21|19:51:07] 	mean_loss: 0.34829691965700843. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:51:07] Time consumption:
[05.06.21|19:51:07] Done.
[05.06.21|19:51:07] Eval epoch: 207
[05.06.21|19:51:09] 	mean_loss: 0.3340905242787028. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:51:09] Done.
[05.06.21|19:51:09] Training epoch: 208
[05.06.21|19:52:16] 	Iter 17100 Done. | loss: 2.2842 | lr: 0.000812 | tf: 0.391666
[05.06.21|19:53:10] 	mean_loss: 0.3251975749807986. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:53:10] Time consumption:
[05.06.21|19:53:10] Done.
[05.06.21|19:53:10] Eval epoch: 208
[05.06.21|19:53:11] 	mean_loss: 0.37016415909048617. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:53:11] Done.
[05.06.21|19:53:11] Training epoch: 209
[05.06.21|19:54:47] 	Iter 17200 Done. | loss: 5.5357 | lr: 0.000811 | tf: 0.389708
[05.06.21|19:55:16] 	mean_loss: 0.3686382290451407. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:55:16] Time consumption:
[05.06.21|19:55:16] Done.
[05.06.21|19:55:16] Eval epoch: 209
[05.06.21|19:55:18] 	mean_loss: 0.3931402440999657. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:55:18] Done.
[05.06.21|19:55:18] Training epoch: 210
[05.06.21|19:57:20] 	Iter 17300 Done. | loss: 2.1882 | lr: 0.000810 | tf: 0.387759
[05.06.21|19:57:21] 	mean_loss: 0.3192241758004617. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:57:21] Time consumption:
[05.06.21|19:57:21] Done.
[05.06.21|19:57:21] Eval epoch: 210
[05.06.21|19:57:23] 	mean_loss: 0.37023010908728776. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|19:57:23] Done.
[05.06.21|19:58:40] Training epoch: 211
[05.06.21|20:00:44] 	mean_loss: 0.36779858767960516. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:00:44] Time consumption:
[05.06.21|20:00:44] Done.
[05.06.21|20:00:44] Eval epoch: 211
[05.06.21|20:00:46] 	mean_loss: 0.31964386911056486. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:00:46] Done.
[05.06.21|20:00:46] Training epoch: 212
[05.06.21|20:01:13] 	Iter 17400 Done. | loss: 8.6632 | lr: 0.000809 | tf: 0.383891
[05.06.21|20:02:48] 	mean_loss: 0.3281998479900799. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:02:48] Time consumption:
[05.06.21|20:02:48] Done.
[05.06.21|20:02:48] Eval epoch: 212
[05.06.21|20:02:49] 	mean_loss: 0.3347620409858708. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:02:49] Done.
[05.06.21|20:02:49] Training epoch: 213
[05.06.21|20:03:41] 	Iter 17500 Done. | loss: 5.4875 | lr: 0.000808 | tf: 0.381972
[05.06.21|20:04:50] 	mean_loss: 0.34305252810275827. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:04:50] Time consumption:
[05.06.21|20:04:50] Done.
[05.06.21|20:04:50] Eval epoch: 213
[05.06.21|20:04:51] 	mean_loss: 0.4069377513351638. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:04:51] Done.
[05.06.21|20:04:51] Training epoch: 214
[05.06.21|20:06:06] 	Iter 17600 Done. | loss: 5.8249 | lr: 0.000807 | tf: 0.380062
[05.06.21|20:06:42] 	mean_loss: 0.35212086914003604. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:06:42] Time consumption:
[05.06.21|20:06:42] Done.
[05.06.21|20:06:42] Eval epoch: 214
[05.06.21|20:06:43] 	mean_loss: 0.28801485108968816. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:06:43] Done.
[05.06.21|20:06:43] Training epoch: 215
[05.06.21|20:08:27] 	Iter 17700 Done. | loss: 5.3748 | lr: 0.000806 | tf: 0.378162
[05.06.21|20:08:43] 	mean_loss: 0.3310859037124358. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:08:43] Time consumption:
[05.06.21|20:08:43] Done.
[05.06.21|20:08:43] Eval epoch: 215
[05.06.21|20:08:45] 	mean_loss: 0.3255800198697919. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:08:45] Done.
[05.06.21|20:08:45] Training epoch: 216
[05.06.21|20:10:47] 	mean_loss: 0.32335164991273607. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:10:47] Time consumption:
[05.06.21|20:10:47] Done.
[05.06.21|20:10:47] Eval epoch: 216
[05.06.21|20:10:50] 	mean_loss: 0.32168328127780366. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:10:50] Done.
[05.06.21|20:10:50] Training epoch: 217
[05.06.21|20:10:59] 	Iter 17800 Done. | loss: 5.2498 | lr: 0.000805 | tf: 0.374390
[05.06.21|20:12:47] 	mean_loss: 3.589821301754193. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:12:47] Time consumption:
[05.06.21|20:12:47] Done.
[05.06.21|20:12:47] Eval epoch: 217
[05.06.21|20:12:49] 	mean_loss: 0.3621908633262473. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:12:49] Done.
[05.06.21|20:12:49] Training epoch: 218
[05.06.21|20:13:24] 	Iter 17900 Done. | loss: 2.1827 | lr: 0.000804 | tf: 0.372518
[05.06.21|20:14:47] 	mean_loss: 0.3443817188478924. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:14:47] Time consumption:
[05.06.21|20:14:47] Done.
[05.06.21|20:14:47] Eval epoch: 218
[05.06.21|20:14:48] 	mean_loss: 0.3936403562004326. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:14:48] Done.
[05.06.21|20:14:48] Training epoch: 219
[05.06.21|20:15:51] 	Iter 18000 Done. | loss: 2.9943 | lr: 0.000803 | tf: 0.370655
[05.06.21|20:16:45] 	mean_loss: 0.323232194905873. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:16:45] Time consumption:
[05.06.21|20:16:45] Done.
[05.06.21|20:16:45] Eval epoch: 219
[05.06.21|20:16:46] 	mean_loss: 0.3747104022944496. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:16:46] Done.
[05.06.21|20:16:46] Training epoch: 220
[05.06.21|20:18:16] 	Iter 18100 Done. | loss: 3.7565 | lr: 0.000802 | tf: 0.368802
[05.06.21|20:18:47] 	mean_loss: 12.60158924111532. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:18:47] Time consumption:
[05.06.21|20:18:47] Done.
[05.06.21|20:18:47] Eval epoch: 220
[05.06.21|20:18:49] 	mean_loss: 0.4020923230981731. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:18:49] Done.
[05.06.21|20:20:08] Training epoch: 221
[05.06.21|20:22:02] 	Iter 18200 Done. | loss: 2.1308 | lr: 0.000802 | tf: 0.366958
[05.06.21|20:22:06] 	mean_loss: 0.33186041001733674. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:22:06] Time consumption:
[05.06.21|20:22:06] Done.
[05.06.21|20:22:06] Eval epoch: 221
[05.06.21|20:22:07] 	mean_loss: 0.38551103344363036. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:22:07] Done.
[05.06.21|20:22:07] Training epoch: 222
[05.06.21|20:24:18] 	mean_loss: 0.3465801681681358. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:24:18] Time consumption:
[05.06.21|20:24:18] Done.
[05.06.21|20:24:18] Eval epoch: 222
[05.06.21|20:24:21] 	mean_loss: 0.3718303916465374. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:24:21] Done.
[05.06.21|20:24:21] Training epoch: 223
[05.06.21|20:24:43] 	Iter 18300 Done. | loss: 5.5409 | lr: 0.000800 | tf: 0.363297
[05.06.21|20:26:10] 	mean_loss: 0.3508492633173704. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:26:10] Time consumption:
[05.06.21|20:26:10] Done.
[05.06.21|20:26:10] Eval epoch: 223
[05.06.21|20:26:11] 	mean_loss: 0.3104274736709658. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:26:11] Done.
[05.06.21|20:26:11] Training epoch: 224
[05.06.21|20:27:01] 	Iter 18400 Done. | loss: 8.8136 | lr: 0.000799 | tf: 0.361481
[05.06.21|20:28:18] 	mean_loss: 0.34410406892013895. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:28:18] Time consumption:
[05.06.21|20:28:18] Done.
[05.06.21|20:28:18] Eval epoch: 224
[05.06.21|20:28:20] 	mean_loss: 0.3732844253623234. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:28:20] Done.
[05.06.21|20:28:20] Training epoch: 225
[05.06.21|20:29:33] 	Iter 18500 Done. | loss: 7.4336 | lr: 0.000798 | tf: 0.359674
[05.06.21|20:30:16] 	mean_loss: 0.35632901620808377. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:30:16] Time consumption:
[05.06.21|20:30:16] Done.
[05.06.21|20:30:16] Eval epoch: 225
[05.06.21|20:30:17] 	mean_loss: 0.35355365160165175. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:30:17] Done.
[05.06.21|20:30:17] Training epoch: 226
[05.06.21|20:31:56] 	Iter 18600 Done. | loss: 6.6411 | lr: 0.000798 | tf: 0.357875
[05.06.21|20:32:13] 	mean_loss: 0.33646182299243665. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:32:13] Time consumption:
[05.06.21|20:32:13] Done.
[05.06.21|20:32:13] Eval epoch: 226
[05.06.21|20:32:15] 	mean_loss: 0.38459893961874647. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:32:15] Done.
[05.06.21|20:32:15] Training epoch: 227
[05.06.21|20:34:11] 	mean_loss: 0.3509902291271375. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:34:11] Time consumption:
[05.06.21|20:34:11] Done.
[05.06.21|20:34:11] Eval epoch: 227
[05.06.21|20:34:13] 	mean_loss: 0.33941859092271326. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:34:13] Done.
[05.06.21|20:34:13] Training epoch: 228
[05.06.21|20:34:20] 	Iter 18700 Done. | loss: 7.1185 | lr: 0.000796 | tf: 0.354305
[05.06.21|20:36:18] 	mean_loss: 0.3516303094368797. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:36:18] Time consumption:
[05.06.21|20:36:18] Done.
[05.06.21|20:36:18] Eval epoch: 228
[05.06.21|20:36:19] 	mean_loss: 0.33928348899859284. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:36:19] Done.
[05.06.21|20:36:19] Training epoch: 229
[05.06.21|20:36:59] 	Iter 18800 Done. | loss: 3.9408 | lr: 0.000795 | tf: 0.352534
[05.06.21|20:38:16] 	mean_loss: 0.34409785590500763. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:38:16] Time consumption:
[05.06.21|20:38:16] Done.
[05.06.21|20:38:16] Eval epoch: 229
[05.06.21|20:38:18] 	mean_loss: 0.37704549493193645. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:38:18] Done.
[05.06.21|20:38:18] Training epoch: 230
[05.06.21|20:39:11] 	Iter 18900 Done. | loss: 6.9974 | lr: 0.000794 | tf: 0.350771
[05.06.21|20:40:04] 	mean_loss: 0.33748990171726473. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:40:04] Time consumption:
[05.06.21|20:40:04] Done.
[05.06.21|20:40:04] Eval epoch: 230
[05.06.21|20:40:05] 	mean_loss: 0.3635562710029281. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:40:05] Done.
[05.06.21|20:41:16] Training epoch: 231
[05.06.21|20:42:26] 	Iter 19000 Done. | loss: 5.7913 | lr: 0.000794 | tf: 0.349017
[05.06.21|20:42:52] 	mean_loss: 0.35800864255750847. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:42:52] Time consumption:
[05.06.21|20:42:52] Done.
[05.06.21|20:42:52] Eval epoch: 231
[05.06.21|20:42:53] 	mean_loss: 0.3863484888495329. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:42:53] Done.
[05.06.21|20:42:53] Training epoch: 232
[05.06.21|20:44:27] 	Iter 19100 Done. | loss: 5.6645 | lr: 0.000793 | tf: 0.347272
[05.06.21|20:44:34] 	mean_loss: 0.3401653444369868. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:44:34] Time consumption:
[05.06.21|20:44:34] Done.
[05.06.21|20:44:34] Eval epoch: 232
[05.06.21|20:44:35] 	mean_loss: 0.34440246722052614. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:44:35] Done.
[05.06.21|20:44:35] Training epoch: 233
[05.06.21|20:46:14] 	mean_loss: 0.3421781412474601. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:46:14] Time consumption:
[05.06.21|20:46:14] Done.
[05.06.21|20:46:14] Eval epoch: 233
[05.06.21|20:46:15] 	mean_loss: 0.3811625832728065. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:46:15] Done.
[05.06.21|20:46:15] Training epoch: 234
[05.06.21|20:46:33] 	Iter 19200 Done. | loss: 2.1557 | lr: 0.000791 | tf: 0.343808
[05.06.21|20:47:57] 	mean_loss: 0.34120471801263297. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:47:57] Time consumption:
[05.06.21|20:47:57] Done.
[05.06.21|20:47:57] Eval epoch: 234
[05.06.21|20:47:58] 	mean_loss: 0.33019519580705. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:47:58] Done.
[05.06.21|20:47:58] Training epoch: 235
[05.06.21|20:48:36] 	Iter 19300 Done. | loss: 5.4992 | lr: 0.000790 | tf: 0.342089
[05.06.21|20:49:39] 	mean_loss: 0.3426557739044127. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:49:39] Time consumption:
[05.06.21|20:49:39] Done.
[05.06.21|20:49:39] Eval epoch: 235
[05.06.21|20:49:40] 	mean_loss: 0.3613710895510932. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:49:40] Done.
[05.06.21|20:49:40] Training epoch: 236
[05.06.21|20:50:39] 	Iter 19400 Done. | loss: 5.4458 | lr: 0.000790 | tf: 0.340379
[05.06.21|20:51:19] 	mean_loss: 0.34286961124972026. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:51:19] Time consumption:
[05.06.21|20:51:19] Done.
[05.06.21|20:51:19] Eval epoch: 236
[05.06.21|20:51:20] 	mean_loss: 0.31007586241442914. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:51:20] Done.
[05.06.21|20:51:20] Training epoch: 237
[05.06.21|20:52:41] 	Iter 19500 Done. | loss: 9.4891 | lr: 0.000789 | tf: 0.338677
[05.06.21|20:52:59] 	mean_loss: 0.36695256895694656. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:52:59] Time consumption:
[05.06.21|20:52:59] Done.
[05.06.21|20:52:59] Eval epoch: 237
[05.06.21|20:53:00] 	mean_loss: 0.36739554898286486. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:53:00] Done.
[05.06.21|20:53:00] Training epoch: 238
[05.06.21|20:54:38] 	mean_loss: 0.3521942044087579. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:54:38] Time consumption:
[05.06.21|20:54:38] Done.
[05.06.21|20:54:38] Eval epoch: 238
[05.06.21|20:54:39] 	mean_loss: 0.3569112886460577. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:54:39] Done.
[05.06.21|20:54:39] Training epoch: 239
[05.06.21|20:54:42] 	Iter 19600 Done. | loss: 5.4089 | lr: 0.000787 | tf: 0.335298
[05.06.21|20:56:19] 	mean_loss: 0.34126215362096257. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:56:19] Time consumption:
[05.06.21|20:56:19] Done.
[05.06.21|20:56:19] Eval epoch: 239
[05.06.21|20:56:20] 	mean_loss: 0.37710630462371914. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:56:20] Done.
[05.06.21|20:56:20] Training epoch: 240
[05.06.21|20:56:47] 	Iter 19700 Done. | loss: 1.8288 | lr: 0.000787 | tf: 0.333622
[05.06.21|20:57:59] 	mean_loss: 0.34170495393856737. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:57:59] Time consumption:
[05.06.21|20:57:59] Done.
[05.06.21|20:57:59] Eval epoch: 240
[05.06.21|20:58:00] 	mean_loss: 0.3653338439043146. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|20:58:00] Done.
[05.06.21|20:59:14] Training epoch: 241
[05.06.21|21:00:03] 	Iter 19800 Done. | loss: 6.8769 | lr: 0.000786 | tf: 0.331954
[05.06.21|21:00:56] 	mean_loss: 0.3336781674951321. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:00:56] Time consumption:
[05.06.21|21:00:56] Done.
[05.06.21|21:00:56] Eval epoch: 241
[05.06.21|21:00:57] 	mean_loss: 0.35472641023412643. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:00:57] Done.
[05.06.21|21:00:57] Training epoch: 242
[05.06.21|21:02:08] 	Iter 19900 Done. | loss: 6.9851 | lr: 0.000785 | tf: 0.330294
[05.06.21|21:02:37] 	mean_loss: 0.33664458912694484. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:02:37] Time consumption:
[05.06.21|21:02:37] Done.
[05.06.21|21:02:37] Eval epoch: 242
[05.06.21|21:02:38] 	mean_loss: 0.37786765639269065. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:02:38] Done.
[05.06.21|21:02:38] Training epoch: 243
[05.06.21|21:04:13] 	Iter 20000 Done. | loss: 6.1542 | lr: 0.000784 | tf: 0.328643
[05.06.21|21:04:21] 	mean_loss: 0.31047890886944796. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:04:21] Time consumption:
[05.06.21|21:04:21] Done.
[05.06.21|21:04:21] Eval epoch: 243
[05.06.21|21:04:22] 	mean_loss: 0.33473625933670603. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:04:22] Done.
[05.06.21|21:04:22] Training epoch: 244
[05.06.21|21:06:01] 	mean_loss: 0.334499154844267. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:06:01] Time consumption:
[05.06.21|21:06:01] Done.
[05.06.21|21:06:01] Eval epoch: 244
[05.06.21|21:06:02] 	mean_loss: 0.3222198547446231. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:06:02] Done.
[05.06.21|21:06:02] Training epoch: 245
[05.06.21|21:06:15] 	Iter 20100 Done. | loss: 10.1504 | lr: 0.000783 | tf: 0.325364
[05.06.21|21:07:40] 	mean_loss: 0.3365779478064037. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:07:40] Time consumption:
[05.06.21|21:07:40] Done.
[05.06.21|21:07:40] Eval epoch: 245
[05.06.21|21:07:41] 	mean_loss: 0.4534975273507139. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:07:41] Done.
[05.06.21|21:07:41] Training epoch: 246
[05.06.21|21:08:15] 	Iter 20200 Done. | loss: 6.9762 | lr: 0.000782 | tf: 0.323738
[05.06.21|21:09:20] 	mean_loss: 0.3616767479941649. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:09:20] Time consumption:
[05.06.21|21:09:20] Done.
[05.06.21|21:09:20] Eval epoch: 246
[05.06.21|21:09:21] 	mean_loss: 0.3917726901449306. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:09:21] Done.
[05.06.21|21:09:21] Training epoch: 247
[05.06.21|21:10:18] 	Iter 20300 Done. | loss: 6.9913 | lr: 0.000781 | tf: 0.322119
[05.06.21|21:11:01] 	mean_loss: 0.32993778595850415. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:11:01] Time consumption:
[05.06.21|21:11:01] Done.
[05.06.21|21:11:01] Eval epoch: 247
[05.06.21|21:11:02] 	mean_loss: 0.39973351745108804. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:11:02] Done.
[05.06.21|21:11:02] Training epoch: 248
[05.06.21|21:12:19] 	Iter 20400 Done. | loss: 5.5508 | lr: 0.000780 | tf: 0.320508
[05.06.21|21:12:38] 	mean_loss: 0.3778808447758282. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:12:38] Time consumption:
[05.06.21|21:12:38] Done.
[05.06.21|21:12:38] Eval epoch: 248
[05.06.21|21:12:39] 	mean_loss: 0.42030961860637034. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:12:39] Done.
[05.06.21|21:12:39] Training epoch: 249
[05.06.21|21:14:20] 	mean_loss: 0.33280792986996. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:14:20] Time consumption:
[05.06.21|21:14:20] Done.
[05.06.21|21:14:20] Eval epoch: 249
[05.06.21|21:14:21] 	mean_loss: 0.3627160182669112. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:14:21] Done.
[05.06.21|21:14:21] Training epoch: 250
[05.06.21|21:14:22] 	Iter 20500 Done. | loss: 6.9284 | lr: 0.000779 | tf: 0.317311
[05.06.21|21:15:59] 	mean_loss: 0.3609736927156836. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:15:59] Time consumption:
[05.06.21|21:15:59] Done.
[05.06.21|21:15:59] Eval epoch: 250
[05.06.21|21:16:00] 	mean_loss: 0.3665310563926426. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:16:00] Done.
[05.06.21|21:17:10] Training epoch: 251
[05.06.21|21:17:32] 	Iter 20600 Done. | loss: 8.5972 | lr: 0.000778 | tf: 0.315725
[05.06.21|21:18:47] 	mean_loss: 0.34877258416038853. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:18:47] Time consumption:
[05.06.21|21:18:47] Done.
[05.06.21|21:18:47] Eval epoch: 251
[05.06.21|21:18:48] 	mean_loss: 0.3089438372916947. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:18:48] Done.
[05.06.21|21:18:48] Training epoch: 252
[05.06.21|21:19:32] 	Iter 20700 Done. | loss: 5.5075 | lr: 0.000777 | tf: 0.314146
[05.06.21|21:20:26] 	mean_loss: 0.3542987212080015. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:20:26] Time consumption:
[05.06.21|21:20:26] Done.
[05.06.21|21:20:26] Eval epoch: 252
[05.06.21|21:20:27] 	mean_loss: 0.3714028373295231. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:20:27] Done.
[05.06.21|21:20:27] Training epoch: 253
[05.06.21|21:21:34] 	Iter 20800 Done. | loss: 4.0891 | lr: 0.000776 | tf: 0.312575
[05.06.21|21:22:07] 	mean_loss: 0.330148863695069. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:22:07] Time consumption:
[05.06.21|21:22:07] Done.
[05.06.21|21:22:07] Eval epoch: 253
[05.06.21|21:22:08] 	mean_loss: 0.3396348789914035. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:22:08] Done.
[05.06.21|21:22:08] Training epoch: 254
[05.06.21|21:23:35] 	Iter 20900 Done. | loss: 5.3370 | lr: 0.000776 | tf: 0.311012
[05.06.21|21:23:47] 	mean_loss: 0.3713253622250586. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:23:47] Time consumption:
[05.06.21|21:23:47] Done.
[05.06.21|21:23:47] Eval epoch: 254
[05.06.21|21:23:48] 	mean_loss: 0.3453387728665417. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:23:48] Done.
[05.06.21|21:23:48] Training epoch: 255
[05.06.21|21:25:26] 	mean_loss: 0.3461056133204139. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:25:26] Time consumption:
[05.06.21|21:25:26] Done.
[05.06.21|21:25:26] Eval epoch: 255
[05.06.21|21:25:27] 	mean_loss: 0.394212755530917. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:25:27] Done.
[05.06.21|21:25:27] Training epoch: 256
[05.06.21|21:25:38] 	Iter 21000 Done. | loss: 3.6743 | lr: 0.000774 | tf: 0.307910
[05.06.21|21:27:03] 	mean_loss: 0.37313586230076007. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:27:03] Time consumption:
[05.06.21|21:27:03] Done.
[05.06.21|21:27:03] Eval epoch: 256
[05.06.21|21:27:04] 	mean_loss: 0.43402031544296216. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:27:04] Done.
[05.06.21|21:27:04] Training epoch: 257
[05.06.21|21:27:37] 	Iter 21100 Done. | loss: 5.4315 | lr: 0.000773 | tf: 0.306371
[05.06.21|21:28:42] 	mean_loss: 0.33789395784671716. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:28:42] Time consumption:
[05.06.21|21:28:42] Done.
[05.06.21|21:28:42] Eval epoch: 257
[05.06.21|21:28:43] 	mean_loss: 0.3709238473645334. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:28:43] Done.
[05.06.21|21:28:43] Training epoch: 258
[05.06.21|21:29:38] 	Iter 21200 Done. | loss: 7.4587 | lr: 0.000772 | tf: 0.304839
[05.06.21|21:30:20] 	mean_loss: 0.3584364221274509. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:30:20] Time consumption:
[05.06.21|21:30:20] Done.
[05.06.21|21:30:20] Eval epoch: 258
[05.06.21|21:30:21] 	mean_loss: 0.4021946111019634. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:30:21] Done.
[05.06.21|21:30:21] Training epoch: 259
[05.06.21|21:31:37] 	Iter 21300 Done. | loss: 5.3698 | lr: 0.000772 | tf: 0.303315
[05.06.21|21:31:59] 	mean_loss: 0.33716755544153876. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:31:59] Time consumption:
[05.06.21|21:31:59] Done.
[05.06.21|21:31:59] Eval epoch: 259
[05.06.21|21:32:00] 	mean_loss: 0.3218458700756516. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:32:00] Done.
[05.06.21|21:32:00] Training epoch: 260
[05.06.21|21:33:36] 	Iter 21400 Done. | loss: 4.2809 | lr: 0.000771 | tf: 0.301798
[05.06.21|21:33:38] 	mean_loss: 0.3505679767591979. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:33:38] Time consumption:
[05.06.21|21:33:38] Done.
[05.06.21|21:33:38] Eval epoch: 260
[05.06.21|21:33:39] 	mean_loss: 0.3349739299012109. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:33:39] Done.
[05.06.21|21:34:52] Training epoch: 261
[05.06.21|21:36:39] 	mean_loss: 0.35231201655638145. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:36:39] Time consumption:
[05.06.21|21:36:39] Done.
[05.06.21|21:36:39] Eval epoch: 261
[05.06.21|21:36:40] 	mean_loss: 0.38847436765201426. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:36:40] Done.
[05.06.21|21:36:40] Training epoch: 262
[05.06.21|21:37:02] 	Iter 21500 Done. | loss: 7.2066 | lr: 0.000769 | tf: 0.298788
[05.06.21|21:38:24] 	mean_loss: 0.3427316107890036. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:38:24] Time consumption:
[05.06.21|21:38:24] Done.
[05.06.21|21:38:24] Eval epoch: 262
[05.06.21|21:38:25] 	mean_loss: 0.36492193403846196. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:38:25] Done.
[05.06.21|21:38:25] Training epoch: 263
[05.06.21|21:39:09] 	Iter 21600 Done. | loss: 2.5626 | lr: 0.000769 | tf: 0.297294
[05.06.21|21:40:08] 	mean_loss: 0.2868962455027382. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:40:08] Time consumption:
[05.06.21|21:40:08] Done.
[05.06.21|21:40:08] Eval epoch: 263
[05.06.21|21:40:09] 	mean_loss: 0.3626063632215085. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:40:09] Done.
[05.06.21|21:40:09] Training epoch: 264
[05.06.21|21:41:13] 	Iter 21700 Done. | loss: 11.2017 | lr: 0.000768 | tf: 0.295807
[05.06.21|21:41:50] 	mean_loss: 1.5154117578610715. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:41:50] Time consumption:
[05.06.21|21:41:50] Done.
[05.06.21|21:41:50] Eval epoch: 264
[05.06.21|21:41:51] 	mean_loss: 0.36007865493616587. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:41:51] Done.
[05.06.21|21:41:51] Training epoch: 265
[05.06.21|21:43:20] 	Iter 21800 Done. | loss: 5.2840 | lr: 0.000767 | tf: 0.294328
[05.06.21|21:43:34] 	mean_loss: 0.3450519904119791. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:43:34] Time consumption:
[05.06.21|21:43:34] Done.
[05.06.21|21:43:34] Eval epoch: 265
[05.06.21|21:43:35] 	mean_loss: 0.3625330655967076. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:43:35] Done.
[05.06.21|21:43:35] Training epoch: 266
[05.06.21|21:45:16] 	mean_loss: 0.3514362537642704. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:45:16] Time consumption:
[05.06.21|21:45:16] Done.
[05.06.21|21:45:16] Eval epoch: 266
[05.06.21|21:45:17] 	mean_loss: 0.42063738525528976. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:45:17] Done.
[05.06.21|21:45:17] Training epoch: 267
[05.06.21|21:45:26] 	Iter 21900 Done. | loss: 8.8301 | lr: 0.000766 | tf: 0.291392
[05.06.21|21:47:00] 	mean_loss: 0.35061906634511875. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:47:00] Time consumption:
[05.06.21|21:47:00] Done.
[05.06.21|21:47:00] Eval epoch: 267
[05.06.21|21:47:01] 	mean_loss: 0.3562664904993448. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:47:01] Done.
[05.06.21|21:47:01] Training epoch: 268
[05.06.21|21:47:34] 	Iter 22000 Done. | loss: 3.8999 | lr: 0.000765 | tf: 0.289935
[05.06.21|21:48:44] 	mean_loss: 0.3289251880627812. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:48:44] Time consumption:
[05.06.21|21:48:44] Done.
[05.06.21|21:48:44] Eval epoch: 268
[05.06.21|21:48:45] 	mean_loss: 0.4409026692926189. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:48:45] Done.
[05.06.21|21:48:45] Training epoch: 269
[05.06.21|21:49:38] 	Iter 22100 Done. | loss: 4.1349 | lr: 0.000764 | tf: 0.288486
[05.06.21|21:50:25] 	mean_loss: 0.34668245050466007. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:50:25] Time consumption:
[05.06.21|21:50:25] Done.
[05.06.21|21:50:25] Eval epoch: 269
[05.06.21|21:50:26] 	mean_loss: 0.4050212470022593. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:50:26] Done.
[05.06.21|21:50:26] Training epoch: 270
[05.06.21|21:51:40] 	Iter 22200 Done. | loss: 5.6749 | lr: 0.000763 | tf: 0.287043
[05.06.21|21:52:06] 	mean_loss: 0.3458047239182755. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:52:06] Time consumption:
[05.06.21|21:52:06] Done.
[05.06.21|21:52:06] Eval epoch: 270
[05.06.21|21:52:07] 	mean_loss: 0.3517516244147517. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:52:07] Done.
[05.06.21|21:53:21] Training epoch: 271
[05.06.21|21:54:56] 	Iter 22300 Done. | loss: 5.3695 | lr: 0.000763 | tf: 0.285608
[05.06.21|21:55:00] 	mean_loss: 0.35657883891808556. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:55:00] Time consumption:
[05.06.21|21:55:00] Done.
[05.06.21|21:55:00] Eval epoch: 271
[05.06.21|21:55:01] 	mean_loss: 0.3840975496548279. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:55:01] Done.
[05.06.21|21:55:01] Training epoch: 272
[05.06.21|21:56:41] 	mean_loss: 0.3430190123370343. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:56:41] Time consumption:
[05.06.21|21:56:41] Done.
[05.06.21|21:56:41] Eval epoch: 272
[05.06.21|21:56:42] 	mean_loss: 0.3938074586788921. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:56:42] Done.
[05.06.21|21:56:42] Training epoch: 273
[05.06.21|21:57:00] 	Iter 22400 Done. | loss: 5.5468 | lr: 0.000761 | tf: 0.282759
[05.06.21|21:58:23] 	mean_loss: 0.3525689188001329. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:58:23] Time consumption:
[05.06.21|21:58:23] Done.
[05.06.21|21:58:23] Eval epoch: 273
[05.06.21|21:58:24] 	mean_loss: 0.3296023240716751. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|21:58:24] Done.
[05.06.21|21:58:24] Training epoch: 274
[05.06.21|21:59:04] 	Iter 22500 Done. | loss: 5.6771 | lr: 0.000760 | tf: 0.281345
[05.06.21|22:00:06] 	mean_loss: 0.31535858598389366. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:00:06] Time consumption:
[05.06.21|22:00:06] Done.
[05.06.21|22:00:06] Eval epoch: 274
[05.06.21|22:00:07] 	mean_loss: 0.35258939838681275. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:00:07] Done.
[05.06.21|22:00:07] Training epoch: 275
[05.06.21|22:01:08] 	Iter 22600 Done. | loss: 8.6054 | lr: 0.000759 | tf: 0.279938
[05.06.21|22:01:48] 	mean_loss: 13.304782042493713. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:01:48] Time consumption:
[05.06.21|22:01:48] Done.
[05.06.21|22:01:48] Eval epoch: 275
[05.06.21|22:01:49] 	mean_loss: 0.3509018367132568. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:01:49] Done.
[05.06.21|22:01:49] Training epoch: 276
[05.06.21|22:04:04] 	Iter 22700 Done. | loss: 8.3955 | lr: 0.000759 | tf: 0.278539
[05.06.21|22:04:30] 	mean_loss: 0.3431381849412391. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:04:30] Time consumption:
[05.06.21|22:04:30] Done.
[05.06.21|22:04:30] Eval epoch: 276
[05.06.21|22:04:34] 	mean_loss: 0.3388311303792294. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:04:34] Done.
[05.06.21|22:04:34] Training epoch: 277
[05.06.21|22:07:14] 	mean_loss: 0.3327956347609391. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:07:14] Time consumption:
[05.06.21|22:07:14] Done.
[05.06.21|22:07:14] Eval epoch: 277
[05.06.21|22:07:17] 	mean_loss: 0.34442765076465437. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:07:17] Done.
[05.06.21|22:07:17] Training epoch: 278
[05.06.21|22:07:26] 	Iter 22800 Done. | loss: 7.0594 | lr: 0.000757 | tf: 0.275760
[05.06.21|22:09:54] 	mean_loss: 0.3282325494291088. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:09:54] Time consumption:
[05.06.21|22:09:54] Done.
[05.06.21|22:09:54] Eval epoch: 278
[05.06.21|22:09:57] 	mean_loss: 0.36444769383689735. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:09:57] Done.
[05.06.21|22:09:57] Training epoch: 279
[05.06.21|22:10:40] 	Iter 22900 Done. | loss: 5.5733 | lr: 0.000756 | tf: 0.274382
[05.06.21|22:12:09] 	mean_loss: 0.3388200578650086. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:12:09] Time consumption:
[05.06.21|22:12:09] Done.
[05.06.21|22:12:09] Eval epoch: 279
[05.06.21|22:12:11] 	mean_loss: 0.3675525675681681. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:12:11] Done.
[05.06.21|22:12:11] Training epoch: 280
[05.06.21|22:13:12] 	Iter 23000 Done. | loss: 5.7819 | lr: 0.000756 | tf: 0.273010
[05.06.21|22:14:11] 	mean_loss: 0.34324866436602464. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:14:11] Time consumption:
[05.06.21|22:14:11] Done.
[05.06.21|22:14:11] Eval epoch: 280
[05.06.21|22:14:13] 	mean_loss: 0.35743508885650466. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:14:13] Done.
[05.06.21|22:15:37] Training epoch: 281
[05.06.21|22:17:03] 	Iter 23100 Done. | loss: 5.5609 | lr: 0.000755 | tf: 0.271645
[05.06.21|22:17:36] 	mean_loss: 0.3185116221389568. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:17:36] Time consumption:
[05.06.21|22:17:36] Done.
[05.06.21|22:17:36] Eval epoch: 281
[05.06.21|22:17:37] 	mean_loss: 0.35149932457600563. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:17:37] Done.
[05.06.21|22:17:37] Training epoch: 282
[05.06.21|22:19:27] 	Iter 23200 Done. | loss: 6.2425 | lr: 0.000754 | tf: 0.270286
[05.06.21|22:19:34] 	mean_loss: 0.33653103039228277. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:19:34] Time consumption:
[05.06.21|22:19:34] Done.
[05.06.21|22:19:34] Eval epoch: 282
[05.06.21|22:19:35] 	mean_loss: 0.3778957520297335. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:19:35] Done.
[05.06.21|22:19:35] Training epoch: 283
[05.06.21|22:21:30] 	mean_loss: 0.3570698821717055. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:21:30] Time consumption:
[05.06.21|22:21:30] Done.
[05.06.21|22:21:30] Eval epoch: 283
[05.06.21|22:21:31] 	mean_loss: 0.35357336841851594. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:21:31] Done.
[05.06.21|22:21:31] Training epoch: 284
[05.06.21|22:21:51] 	Iter 23300 Done. | loss: 9.5217 | lr: 0.000753 | tf: 0.267590
[05.06.21|22:24:00] 	mean_loss: 0.33559256385562747. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:24:00] Time consumption:
[05.06.21|22:24:00] Done.
[05.06.21|22:24:00] Eval epoch: 284
[05.06.21|22:24:01] 	mean_loss: 0.3736063999082565. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:24:01] Done.
[05.06.21|22:24:01] Training epoch: 285
[05.06.21|22:24:48] 	Iter 23400 Done. | loss: 5.5203 | lr: 0.000752 | tf: 0.266252
[05.06.21|22:26:10] 	mean_loss: 0.32885113648142567. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:26:10] Time consumption:
[05.06.21|22:26:10] Done.
[05.06.21|22:26:10] Eval epoch: 285
[05.06.21|22:26:11] 	mean_loss: 0.3369016164463449. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:26:11] Done.
[05.06.21|22:26:11] Training epoch: 286
[05.06.21|22:27:39] 	Iter 23500 Done. | loss: 1.3611 | lr: 0.000751 | tf: 0.264921
[05.06.21|22:28:33] 	mean_loss: 0.3619003750677004. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:28:33] Time consumption:
[05.06.21|22:28:33] Done.
[05.06.21|22:28:33] Eval epoch: 286
[05.06.21|22:28:35] 	mean_loss: 0.33853098351055294. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:28:35] Done.
[05.06.21|22:28:35] Training epoch: 287
[05.06.21|22:30:41] 	Iter 23600 Done. | loss: 5.3207 | lr: 0.000750 | tf: 0.263596
[05.06.21|22:31:13] 	mean_loss: 0.35065495420687914. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:31:13] Time consumption:
[05.06.21|22:31:13] Done.
[05.06.21|22:31:13] Eval epoch: 287
[05.06.21|22:31:17] 	mean_loss: 0.3409374275827849. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:31:17] Done.
[05.06.21|22:31:17] Training epoch: 288
[05.06.21|22:33:55] 	mean_loss: 0.3299275610878481. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:33:55] Time consumption:
[05.06.21|22:33:55] Done.
[05.06.21|22:33:55] Eval epoch: 288
[05.06.21|22:33:58] 	mean_loss: 0.4047784476953769. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:33:58] Done.
[05.06.21|22:33:58] Training epoch: 289
[05.06.21|22:34:02] 	Iter 23700 Done. | loss: 6.9776 | lr: 0.000749 | tf: 0.260967
[05.06.21|22:36:40] 	mean_loss: 0.3422683049401572. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:36:40] Time consumption:
[05.06.21|22:36:40] Done.
[05.06.21|22:36:40] Eval epoch: 289
[05.06.21|22:36:45] 	mean_loss: 0.3067424501625153. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:36:45] Done.
[05.06.21|22:36:45] Training epoch: 290
[05.06.21|22:37:32] 	Iter 23800 Done. | loss: 5.1290 | lr: 0.000748 | tf: 0.259662
[05.06.21|22:39:33] 	mean_loss: 0.32358153211057944. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:39:33] Time consumption:
[05.06.21|22:39:33] Done.
[05.06.21|22:39:33] Eval epoch: 290
[05.06.21|22:39:36] 	mean_loss: 0.3485390857390923. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:39:36] Done.
[05.06.21|22:41:08] Training epoch: 291
[05.06.21|22:42:19] 	Iter 23900 Done. | loss: 1.1605 | lr: 0.000747 | tf: 0.258364
[05.06.21|22:43:51] 	mean_loss: 0.3275091843575459. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:43:51] Time consumption:
[05.06.21|22:43:51] Done.
[05.06.21|22:43:51] Eval epoch: 291
[05.06.21|22:43:54] 	mean_loss: 0.3508500004977658. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:43:54] Done.
[05.06.21|22:43:54] Training epoch: 292
[05.06.21|22:45:43] 	Iter 24000 Done. | loss: 8.5205 | lr: 0.000747 | tf: 0.257072
[05.06.21|22:46:37] 	mean_loss: 0.34545935466902106. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:46:37] Time consumption:
[05.06.21|22:46:37] Done.
[05.06.21|22:46:37] Eval epoch: 292
[05.06.21|22:46:41] 	mean_loss: 0.3425569130719687. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:46:41] Done.
[05.06.21|22:46:41] Training epoch: 293
[05.06.21|22:49:19] 	Iter 24100 Done. | loss: 1.5660 | lr: 0.000746 | tf: 0.255787
[05.06.21|22:49:32] 	mean_loss: 0.36435777328037955. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:49:32] Time consumption:
[05.06.21|22:49:32] Done.
[05.06.21|22:49:32] Eval epoch: 293
[05.06.21|22:49:34] 	mean_loss: 0.3904985305350447. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:49:34] Done.
[05.06.21|22:49:34] Training epoch: 294
[05.06.21|22:51:49] 	mean_loss: 0.33198105060685223. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:51:49] Time consumption:
[05.06.21|22:51:49] Done.
[05.06.21|22:51:49] Eval epoch: 294
[05.06.21|22:51:50] 	mean_loss: 0.3822286132787938. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:51:50] Done.
[05.06.21|22:51:50] Training epoch: 295
[05.06.21|22:52:03] 	Iter 24200 Done. | loss: 5.5317 | lr: 0.000744 | tf: 0.253235
[05.06.21|22:53:30] 	mean_loss: 0.34624670718045913. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:53:30] Time consumption:
[05.06.21|22:53:30] Done.
[05.06.21|22:53:30] Eval epoch: 295
[05.06.21|22:53:31] 	mean_loss: 0.382139390889887. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:53:31] Done.
[05.06.21|22:53:31] Training epoch: 296
[05.06.21|22:54:07] 	Iter 24300 Done. | loss: 3.8533 | lr: 0.000744 | tf: 0.251969
[05.06.21|22:55:12] 	mean_loss: 0.3346533021595604. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:55:12] Time consumption:
[05.06.21|22:55:12] Done.
[05.06.21|22:55:12] Eval epoch: 296
[05.06.21|22:55:13] 	mean_loss: 0.33497521485042336. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:55:13] Done.
[05.06.21|22:55:13] Training epoch: 297
[05.06.21|22:56:10] 	Iter 24400 Done. | loss: 6.8106 | lr: 0.000743 | tf: 0.250709
[05.06.21|22:56:51] 	mean_loss: 0.339376402022952. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:56:51] Time consumption:
[05.06.21|22:56:51] Done.
[05.06.21|22:56:51] Eval epoch: 297
[05.06.21|22:56:52] 	mean_loss: 0.33767967734379833. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:56:52] Done.
[05.06.21|22:56:52] Training epoch: 298
[05.06.21|22:58:09] 	Iter 24500 Done. | loss: 5.4546 | lr: 0.000742 | tf: 0.249456
[05.06.21|22:58:30] 	mean_loss: 1.8863920636331721. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:58:30] Time consumption:
[05.06.21|22:58:30] Done.
[05.06.21|22:58:30] Eval epoch: 298
[05.06.21|22:58:31] 	mean_loss: 0.3824506369608975. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|22:58:31] Done.
[05.06.21|22:58:31] Training epoch: 299
[05.06.21|23:00:06] 	mean_loss: 0.35316527603213577. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:00:06] Time consumption:
[05.06.21|23:00:06] Done.
[05.06.21|23:00:06] Eval epoch: 299
[05.06.21|23:00:07] 	mean_loss: 0.36484322109235895. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:00:07] Done.
[05.06.21|23:00:07] Training epoch: 300
[05.06.21|23:00:08] 	Iter 24600 Done. | loss: 5.2896 | lr: 0.000741 | tf: 0.246967
[05.06.21|23:01:43] 	mean_loss: 0.3397658241849583. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:01:43] Time consumption:
[05.06.21|23:01:43] Done.
[05.06.21|23:01:43] Eval epoch: 300
[05.06.21|23:01:44] 	mean_loss: 0.34960064424003673. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:01:44] Done.
[05.06.21|23:02:45] Training epoch: 301
[05.06.21|23:03:07] 	Iter 24700 Done. | loss: 5.8182 | lr: 0.000740 | tf: 0.245733
[05.06.21|23:04:20] 	mean_loss: 0.3489171559657168. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:04:20] Time consumption:
[05.06.21|23:04:20] Done.
[05.06.21|23:04:20] Eval epoch: 301
[05.06.21|23:04:21] 	mean_loss: 0.34426740909447945. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:04:21] Done.
[05.06.21|23:04:21] Training epoch: 302
[05.06.21|23:05:05] 	Iter 24800 Done. | loss: 5.3508 | lr: 0.000739 | tf: 0.244504
[05.06.21|23:05:56] 	mean_loss: 0.3537215099598504. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:05:56] Time consumption:
[05.06.21|23:05:56] Done.
[05.06.21|23:05:56] Eval epoch: 302
[05.06.21|23:05:57] 	mean_loss: 0.3596148793974685. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:05:57] Done.
[05.06.21|23:05:57] Training epoch: 303
[05.06.21|23:07:01] 	Iter 24900 Done. | loss: 8.5980 | lr: 0.000738 | tf: 0.243281
[05.06.21|23:07:33] 	mean_loss: 0.3397329481676783. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:07:33] Time consumption:
[05.06.21|23:07:33] Done.
[05.06.21|23:07:33] Eval epoch: 303
[05.06.21|23:07:33] 	mean_loss: 0.40633609482831146. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:07:33] Done.
[05.06.21|23:07:33] Training epoch: 304
[05.06.21|23:08:57] 	Iter 25000 Done. | loss: 5.6485 | lr: 0.000738 | tf: 0.242065
[05.06.21|23:09:08] 	mean_loss: 0.3622078543242597. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:09:08] Time consumption:
[05.06.21|23:09:08] Done.
[05.06.21|23:09:08] Eval epoch: 304
[05.06.21|23:09:09] 	mean_loss: 0.3515882449992319. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:09:09] Done.
[05.06.21|23:09:09] Training epoch: 305
[05.06.21|23:10:44] 	mean_loss: 0.34500220376539553. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:10:44] Time consumption:
[05.06.21|23:10:44] Done.
[05.06.21|23:10:44] Eval epoch: 305
[05.06.21|23:10:45] 	mean_loss: 0.33283635135538137. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:10:45] Done.
[05.06.21|23:10:45] Training epoch: 306
[05.06.21|23:10:55] 	Iter 25100 Done. | loss: 5.2554 | lr: 0.000736 | tf: 0.239650
[05.06.21|23:12:21] 	mean_loss: 0.3459132695514618. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:12:21] Time consumption:
[05.06.21|23:12:21] Done.
[05.06.21|23:12:21] Eval epoch: 306
[05.06.21|23:12:22] 	mean_loss: 0.3460936256186171. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:12:22] Done.
[05.06.21|23:12:22] Training epoch: 307
[05.06.21|23:12:52] 	Iter 25200 Done. | loss: 6.1386 | lr: 0.000736 | tf: 0.238452
[05.06.21|23:13:55] 	mean_loss: 0.38871952325278963. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:13:55] Time consumption:
[05.06.21|23:13:55] Done.
[05.06.21|23:13:55] Eval epoch: 307
[05.06.21|23:13:56] 	mean_loss: 0.38836747505139535. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:13:56] Done.
[05.06.21|23:13:56] Training epoch: 308
[05.06.21|23:14:48] 	Iter 25300 Done. | loss: 8.7760 | lr: 0.000735 | tf: 0.237260
[05.06.21|23:15:31] 	mean_loss: 0.3615012313998638. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:15:31] Time consumption:
[05.06.21|23:15:31] Done.
[05.06.21|23:15:31] Eval epoch: 308
[05.06.21|23:15:32] 	mean_loss: 0.32580145388820625. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:15:32] Done.
[05.06.21|23:15:32] Training epoch: 309
[05.06.21|23:16:46] 	Iter 25400 Done. | loss: 5.3237 | lr: 0.000734 | tf: 0.236074
[05.06.21|23:17:08] 	mean_loss: 0.3423645238083618. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:17:08] Time consumption:
[05.06.21|23:17:08] Done.
[05.06.21|23:17:08] Eval epoch: 309
[05.06.21|23:17:09] 	mean_loss: 0.3612986839740522. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:17:09] Done.
[05.06.21|23:17:09] Training epoch: 310
[05.06.21|23:18:43] 	Iter 25500 Done. | loss: 2.0668 | lr: 0.000733 | tf: 0.234893
[05.06.21|23:18:44] 	mean_loss: 0.3475172576244776. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:18:44] Time consumption:
[05.06.21|23:18:44] Done.
[05.06.21|23:18:44] Eval epoch: 310
[05.06.21|23:18:45] 	mean_loss: 0.3313131427156867. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:18:45] Done.
[05.06.21|23:19:50] Training epoch: 311
[05.06.21|23:21:27] 	mean_loss: 0.3428965917158605. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:21:27] Time consumption:
[05.06.21|23:21:27] Done.
[05.06.21|23:21:27] Eval epoch: 311
[05.06.21|23:21:28] 	mean_loss: 0.3932179071395635. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:21:28] Done.
[05.06.21|23:21:28] Training epoch: 312
[05.06.21|23:21:48] 	Iter 25600 Done. | loss: 1.4497 | lr: 0.000732 | tf: 0.232550
[05.06.21|23:23:03] 	mean_loss: 0.37381223172930095. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:23:03] Time consumption:
[05.06.21|23:23:03] Done.
[05.06.21|23:23:03] Eval epoch: 312
[05.06.21|23:23:04] 	mean_loss: 0.3259695587551305. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:23:04] Done.
[05.06.21|23:23:04] Training epoch: 313
[05.06.21|23:23:46] 	Iter 25700 Done. | loss: 5.7656 | lr: 0.000731 | tf: 0.231387
[05.06.21|23:24:40] 	mean_loss: 0.33126654914799003. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:24:40] Time consumption:
[05.06.21|23:24:40] Done.
[05.06.21|23:24:40] Eval epoch: 313
[05.06.21|23:24:41] 	mean_loss: 0.345932054234938. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:24:41] Done.
[05.06.21|23:24:41] Training epoch: 314
[05.06.21|23:25:42] 	Iter 25800 Done. | loss: 9.5849 | lr: 0.000730 | tf: 0.230230
[05.06.21|23:26:16] 	mean_loss: 0.352941205742886. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:26:16] Time consumption:
[05.06.21|23:26:16] Done.
[05.06.21|23:26:16] Eval epoch: 314
[05.06.21|23:26:17] 	mean_loss: 0.353789054403835. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:26:17] Done.
[05.06.21|23:26:17] Training epoch: 315
[05.06.21|23:27:39] 	Iter 25900 Done. | loss: 7.5773 | lr: 0.000730 | tf: 0.229079
[05.06.21|23:27:52] 	mean_loss: 0.35339733088166303. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:27:52] Time consumption:
[05.06.21|23:27:52] Done.
[05.06.21|23:27:52] Eval epoch: 315
[05.06.21|23:27:53] 	mean_loss: 0.3370009373450403. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:27:53] Done.
[05.06.21|23:27:53] Training epoch: 316
[05.06.21|23:29:27] 	mean_loss: 0.36319195358593875. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:29:27] Time consumption:
[05.06.21|23:29:27] Done.
[05.06.21|23:29:27] Eval epoch: 316
[05.06.21|23:29:28] 	mean_loss: 0.3961521022448095. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:29:28] Done.
[05.06.21|23:29:28] Training epoch: 317
[05.06.21|23:29:35] 	Iter 26000 Done. | loss: 5.4499 | lr: 0.000728 | tf: 0.226794
[05.06.21|23:31:04] 	mean_loss: 0.3360687759728992. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:31:04] Time consumption:
[05.06.21|23:31:04] Done.
[05.06.21|23:31:04] Eval epoch: 317
[05.06.21|23:31:05] 	mean_loss: 0.3777432230307262. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:31:05] Done.
[05.06.21|23:31:05] Training epoch: 318
[05.06.21|23:31:33] 	Iter 26100 Done. | loss: 2.2207 | lr: 0.000727 | tf: 0.225660
[05.06.21|23:32:39] 	mean_loss: 0.35770315832821825. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:32:39] Time consumption:
[05.06.21|23:32:39] Done.
[05.06.21|23:32:39] Eval epoch: 318
[05.06.21|23:32:40] 	mean_loss: 0.33187379167578895. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:32:40] Done.
[05.06.21|23:32:40] Training epoch: 319
[05.06.21|23:33:30] 	Iter 26200 Done. | loss: 1.4579 | lr: 0.000727 | tf: 0.224532
[05.06.21|23:34:16] 	mean_loss: 0.33419301397303075. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:34:16] Time consumption:
[05.06.21|23:34:16] Done.
[05.06.21|23:34:16] Eval epoch: 319
[05.06.21|23:34:17] 	mean_loss: 0.33659354603362307. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:34:17] Done.
[05.06.21|23:34:17] Training epoch: 320
[05.06.21|23:35:28] 	Iter 26300 Done. | loss: 5.3912 | lr: 0.000726 | tf: 0.223409
[05.06.21|23:35:53] 	mean_loss: 0.34915879689723905. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:35:53] Time consumption:
[05.06.21|23:35:53] Done.
[05.06.21|23:35:53] Eval epoch: 320
[05.06.21|23:35:54] 	mean_loss: 0.35740157364618386. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:35:54] Done.
[05.06.21|23:36:56] Training epoch: 321
[05.06.21|23:38:29] 	Iter 26400 Done. | loss: 5.6629 | lr: 0.000725 | tf: 0.222292
[05.06.21|23:38:33] 	mean_loss: 0.32382137782506604. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:38:33] Time consumption:
[05.06.21|23:38:33] Done.
[05.06.21|23:38:33] Eval epoch: 321
[05.06.21|23:38:34] 	mean_loss: 0.3422896588515544. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:38:34] Done.
[05.06.21|23:38:34] Training epoch: 322
[05.06.21|23:40:12] 	mean_loss: 0.33004629887889053. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:40:12] Time consumption:
[05.06.21|23:40:12] Done.
[05.06.21|23:40:12] Eval epoch: 322
[05.06.21|23:40:12] 	mean_loss: 0.33449820229461863. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:40:12] Done.
[05.06.21|23:40:12] Training epoch: 323
[05.06.21|23:40:30] 	Iter 26500 Done. | loss: 5.3128 | lr: 0.000724 | tf: 0.220075
[05.06.21|23:41:47] 	mean_loss: 0.3588745429289204. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:41:47] Time consumption:
[05.06.21|23:41:47] Done.
[05.06.21|23:41:47] Eval epoch: 323
[05.06.21|23:41:48] 	mean_loss: 0.4090374431600986. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:41:48] Done.
[05.06.21|23:41:48] Training epoch: 324
[05.06.21|23:42:25] 	Iter 26600 Done. | loss: 8.7125 | lr: 0.000723 | tf: 0.218974
[05.06.21|23:43:21] 	mean_loss: 0.36442045241372617. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:43:21] Time consumption:
[05.06.21|23:43:21] Done.
[05.06.21|23:43:21] Eval epoch: 324
[05.06.21|23:43:22] 	mean_loss: 0.36932221817391814. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:43:22] Done.
[05.06.21|23:43:22] Training epoch: 325
[05.06.21|23:44:20] 	Iter 26700 Done. | loss: 7.1783 | lr: 0.000722 | tf: 0.217880
[05.06.21|23:44:55] 	mean_loss: 0.37399954608497893. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:44:55] Time consumption:
[05.06.21|23:44:55] Done.
[05.06.21|23:44:55] Eval epoch: 325
[05.06.21|23:44:56] 	mean_loss: 0.32953102892802627. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:44:56] Done.
[05.06.21|23:44:56] Training epoch: 326
[05.06.21|23:46:17] 	Iter 26800 Done. | loss: 3.9136 | lr: 0.000722 | tf: 0.216790
[05.06.21|23:46:32] 	mean_loss: 0.3418932887340365. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:46:32] Time consumption:
[05.06.21|23:46:32] Done.
[05.06.21|23:46:32] Eval epoch: 326
[05.06.21|23:46:33] 	mean_loss: 0.32754870016073057. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:46:33] Done.
[05.06.21|23:46:33] Training epoch: 327
[05.06.21|23:48:08] 	mean_loss: 0.35455544866247624. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:48:08] Time consumption:
[05.06.21|23:48:08] Done.
[05.06.21|23:48:08] Eval epoch: 327
[05.06.21|23:48:09] 	mean_loss: 0.3237440864031915. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:48:09] Done.
[05.06.21|23:48:09] Training epoch: 328
[05.06.21|23:48:15] 	Iter 26900 Done. | loss: 6.8800 | lr: 0.000720 | tf: 0.214628
[05.06.21|23:49:46] 	mean_loss: 0.3213605520900211. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:49:46] Time consumption:
[05.06.21|23:49:46] Done.
[05.06.21|23:49:46] Eval epoch: 328
[05.06.21|23:49:47] 	mean_loss: 0.3353774199709657. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:49:47] Done.
[05.06.21|23:49:47] Training epoch: 329
[05.06.21|23:50:14] 	Iter 27000 Done. | loss: 5.2427 | lr: 0.000720 | tf: 0.213555
[05.06.21|23:51:22] 	mean_loss: 0.3468796712798532. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:51:22] Time consumption:
[05.06.21|23:51:22] Done.
[05.06.21|23:51:22] Eval epoch: 329
[05.06.21|23:51:23] 	mean_loss: 0.34676119122125026. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:51:23] Done.
[05.06.21|23:51:23] Training epoch: 330
[05.06.21|23:52:11] 	Iter 27100 Done. | loss: 1.8749 | lr: 0.000719 | tf: 0.212487
[05.06.21|23:53:00] 	mean_loss: 0.312752326249987. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:53:00] Time consumption:
[05.06.21|23:53:00] Done.
[05.06.21|23:53:00] Eval epoch: 330
[05.06.21|23:53:01] 	mean_loss: 0.40566730245349614. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:53:01] Done.
[05.06.21|23:54:04] Training epoch: 331
[05.06.21|23:55:12] 	Iter 27200 Done. | loss: 5.6667 | lr: 0.000718 | tf: 0.211424
[05.06.21|23:55:39] 	mean_loss: 0.3495916710520346. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:55:39] Time consumption:
[05.06.21|23:55:39] Done.
[05.06.21|23:55:39] Eval epoch: 331
[05.06.21|23:55:40] 	mean_loss: 0.3529967887381319. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:55:40] Done.
[05.06.21|23:55:40] Training epoch: 332
[05.06.21|23:57:11] 	Iter 27300 Done. | loss: 10.6178 | lr: 0.000717 | tf: 0.210367
[05.06.21|23:57:18] 	mean_loss: 0.31571758782741255. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:57:18] Time consumption:
[05.06.21|23:57:18] Done.
[05.06.21|23:57:18] Eval epoch: 332
[05.06.21|23:57:18] 	mean_loss: 0.3509821114960233. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:57:18] Done.
[05.06.21|23:57:18] Training epoch: 333
[05.06.21|23:58:54] 	mean_loss: 0.34759574054375075. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:58:54] Time consumption:
[05.06.21|23:58:54] Done.
[05.06.21|23:58:54] Eval epoch: 333
[05.06.21|23:58:55] 	mean_loss: 0.33842078918712176. Best so far: 0.2739738822716272 (epoch: 166).
[05.06.21|23:58:55] Done.
[05.06.21|23:58:55] Training epoch: 334
[05.06.21|23:59:09] 	Iter 27400 Done. | loss: 2.2698 | lr: 0.000716 | tf: 0.208269
[05.07.21|00:00:29] 	mean_loss: 0.3568262466887059. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:00:29] Time consumption:
[05.07.21|00:00:29] Done.
[05.07.21|00:00:29] Eval epoch: 334
[05.07.21|00:00:30] 	mean_loss: 0.356071610759655. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:00:30] Done.
[05.07.21|00:00:30] Training epoch: 335
[05.07.21|00:01:06] 	Iter 27500 Done. | loss: 8.7277 | lr: 0.000715 | tf: 0.207227
[05.07.21|00:02:05] 	mean_loss: 0.3318281820180484. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:02:05] Time consumption:
[05.07.21|00:02:05] Done.
[05.07.21|00:02:05] Eval epoch: 335
[05.07.21|00:02:06] 	mean_loss: 0.40464377823803827. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:02:06] Done.
[05.07.21|00:02:06] Training epoch: 336
[05.07.21|00:03:03] 	Iter 27600 Done. | loss: 10.1965 | lr: 0.000715 | tf: 0.206191
[05.07.21|00:03:43] 	mean_loss: 0.3214056924677326. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:03:43] Time consumption:
[05.07.21|00:03:43] Done.
[05.07.21|00:03:43] Eval epoch: 336
[05.07.21|00:03:43] 	mean_loss: 0.343248901279472. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:03:43] Done.
[05.07.21|00:03:43] Training epoch: 337
[05.07.21|00:05:00] 	Iter 27700 Done. | loss: 3.6716 | lr: 0.000714 | tf: 0.205160
[05.07.21|00:05:18] 	mean_loss: 0.35043485690365356. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:05:18] Time consumption:
[05.07.21|00:05:18] Done.
[05.07.21|00:05:18] Eval epoch: 337
[05.07.21|00:05:19] 	mean_loss: 0.29932441937283344. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:05:19] Done.
[05.07.21|00:05:19] Training epoch: 338
[05.07.21|00:06:56] 	mean_loss: 0.31652111111966924. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:06:56] Time consumption:
[05.07.21|00:06:56] Done.
[05.07.21|00:06:56] Eval epoch: 338
[05.07.21|00:06:57] 	mean_loss: 0.3425735044822014. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:06:57] Done.
[05.07.21|00:06:57] Training epoch: 339
[05.07.21|00:07:01] 	Iter 27800 Done. | loss: 2.4410 | lr: 0.000712 | tf: 0.203114
[05.07.21|00:08:31] 	mean_loss: 1.4053431843211361. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:08:31] Time consumption:
[05.07.21|00:08:31] Done.
[05.07.21|00:08:31] Eval epoch: 339
[05.07.21|00:08:32] 	mean_loss: 0.3523934863671491. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:08:32] Done.
[05.07.21|00:08:32] Training epoch: 340
[05.07.21|00:08:56] 	Iter 27900 Done. | loss: 1.9057 | lr: 0.000712 | tf: 0.202098
[05.07.21|00:10:10] 	mean_loss: 0.31223095778471954. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:10:10] Time consumption:
[05.07.21|00:10:10] Done.
[05.07.21|00:10:10] Eval epoch: 340
[05.07.21|00:10:11] 	mean_loss: 0.3423846434672314. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:10:11] Done.
[05.07.21|00:11:17] Training epoch: 341
[05.07.21|00:12:03] 	Iter 28000 Done. | loss: 5.4332 | lr: 0.000711 | tf: 0.201088
[05.07.21|00:12:51] 	mean_loss: 0.36600259383445743. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:12:51] Time consumption:
[05.07.21|00:12:51] Done.
[05.07.21|00:12:51] Eval epoch: 341
[05.07.21|00:12:52] 	mean_loss: 0.3108695245308647. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:12:52] Done.
[05.07.21|00:12:52] Training epoch: 342
[05.07.21|00:14:00] 	Iter 28100 Done. | loss: 8.6907 | lr: 0.000710 | tf: 0.200082
[05.07.21|00:14:29] 	mean_loss: 0.3175123454971643. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:14:29] Time consumption:
[05.07.21|00:14:29] Done.
[05.07.21|00:14:29] Eval epoch: 342
[05.07.21|00:14:30] 	mean_loss: 0.3416383185411721. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:14:30] Done.
[05.07.21|00:14:30] Training epoch: 343
[05.07.21|00:15:59] 	Iter 28200 Done. | loss: 2.0238 | lr: 0.000710 | tf: 0.199082
[05.07.21|00:16:07] 	mean_loss: 0.3284541965352892. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:16:07] Time consumption:
[05.07.21|00:16:07] Done.
[05.07.21|00:16:07] Eval epoch: 343
[05.07.21|00:16:08] 	mean_loss: 0.3711063231658501. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:16:08] Done.
[05.07.21|00:16:08] Training epoch: 344
[05.07.21|00:17:43] 	mean_loss: 0.35112597347769114. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:17:43] Time consumption:
[05.07.21|00:17:43] Done.
[05.07.21|00:17:43] Eval epoch: 344
[05.07.21|00:17:44] 	mean_loss: 0.35861094946886607. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:17:44] Done.
[05.07.21|00:17:44] Training epoch: 345
[05.07.21|00:17:58] 	Iter 28300 Done. | loss: 5.3855 | lr: 0.000708 | tf: 0.197096
[05.07.21|00:19:21] 	mean_loss: 0.34191600158580693. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:19:21] Time consumption:
[05.07.21|00:19:21] Done.
[05.07.21|00:19:21] Eval epoch: 345
[05.07.21|00:19:22] 	mean_loss: 0.3363302570469306. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:19:22] Done.
[05.07.21|00:19:22] Training epoch: 346
[05.07.21|00:19:55] 	Iter 28400 Done. | loss: 4.1953 | lr: 0.000707 | tf: 0.196111
[05.07.21|00:20:57] 	mean_loss: 0.3365994412874966. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:20:57] Time consumption:
[05.07.21|00:20:57] Done.
[05.07.21|00:20:57] Eval epoch: 346
[05.07.21|00:20:58] 	mean_loss: 0.3306202294450754. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:20:58] Done.
[05.07.21|00:20:58] Training epoch: 347
[05.07.21|00:21:53] 	Iter 28500 Done. | loss: 1.5442 | lr: 0.000707 | tf: 0.195130
[05.07.21|00:22:34] 	mean_loss: 0.3268024123721249. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:22:34] Time consumption:
[05.07.21|00:22:34] Done.
[05.07.21|00:22:34] Eval epoch: 347
[05.07.21|00:22:35] 	mean_loss: 0.3649503445425859. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:22:35] Done.
[05.07.21|00:22:35] Training epoch: 348
[05.07.21|00:23:52] 	Iter 28600 Done. | loss: 5.8002 | lr: 0.000706 | tf: 0.194154
[05.07.21|00:24:12] 	mean_loss: 0.31973058365187684. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:24:12] Time consumption:
[05.07.21|00:24:12] Done.
[05.07.21|00:24:12] Eval epoch: 348
[05.07.21|00:24:13] 	mean_loss: 0.34847741498109136. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:24:13] Done.
[05.07.21|00:24:13] Training epoch: 349
[05.07.21|00:25:47] 	mean_loss: 0.35270008132701874. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:25:47] Time consumption:
[05.07.21|00:25:47] Done.
[05.07.21|00:25:47] Eval epoch: 349
[05.07.21|00:25:48] 	mean_loss: 0.34428581614470033. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:25:48] Done.
[05.07.21|00:25:48] Training epoch: 350
[05.07.21|00:25:49] 	Iter 28700 Done. | loss: 6.8865 | lr: 0.000705 | tf: 0.192218
[05.07.21|00:27:24] 	mean_loss: 0.33499256650408843. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:27:24] Time consumption:
[05.07.21|00:27:24] Done.
[05.07.21|00:27:24] Eval epoch: 350
[05.07.21|00:27:25] 	mean_loss: 0.3738207514807552. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:27:25] Done.
[05.07.21|00:28:32] Training epoch: 351
[05.07.21|00:28:55] 	Iter 28800 Done. | loss: 5.5836 | lr: 0.000704 | tf: 0.191257
[05.07.21|00:30:06] 	mean_loss: 0.3598442170214373. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:30:06] Time consumption:
[05.07.21|00:30:06] Done.
[05.07.21|00:30:06] Eval epoch: 351
[05.07.21|00:30:07] 	mean_loss: 0.3989622342420933. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:30:07] Done.
[05.07.21|00:30:07] Training epoch: 352
[05.07.21|00:30:50] 	Iter 28900 Done. | loss: 4.1053 | lr: 0.000703 | tf: 0.190300
[05.07.21|00:31:42] 	mean_loss: 0.3381771520848434. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:31:42] Time consumption:
[05.07.21|00:31:42] Done.
[05.07.21|00:31:42] Eval epoch: 352
[05.07.21|00:31:43] 	mean_loss: 0.3784714538370714. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:31:43] Done.
[05.07.21|00:31:43] Training epoch: 353
[05.07.21|00:32:48] 	Iter 29000 Done. | loss: 5.3540 | lr: 0.000702 | tf: 0.189349
[05.07.21|00:33:20] 	mean_loss: 0.3314305417714593. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:33:20] Time consumption:
[05.07.21|00:33:20] Done.
[05.07.21|00:33:20] Eval epoch: 353
[05.07.21|00:33:21] 	mean_loss: 0.3838351399013984. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:33:21] Done.
[05.07.21|00:33:21] Training epoch: 354
[05.07.21|00:34:45] 	Iter 29100 Done. | loss: 1.7519 | lr: 0.000702 | tf: 0.188402
[05.07.21|00:34:56] 	mean_loss: 0.3493399489993455. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:34:56] Time consumption:
[05.07.21|00:34:56] Done.
[05.07.21|00:34:56] Eval epoch: 354
[05.07.21|00:34:57] 	mean_loss: 0.35307152552427234. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:34:57] Done.
[05.07.21|00:34:57] Training epoch: 355
[05.07.21|00:36:31] 	mean_loss: 0.3494011989431225. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:36:31] Time consumption:
[05.07.21|00:36:31] Done.
[05.07.21|00:36:31] Eval epoch: 355
[05.07.21|00:36:32] 	mean_loss: 0.3566209743198855. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:36:32] Done.
[05.07.21|00:36:32] Training epoch: 356
[05.07.21|00:36:43] 	Iter 29200 Done. | loss: 2.3594 | lr: 0.000700 | tf: 0.186523
[05.07.21|00:38:08] 	mean_loss: 0.34446580691952294. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:38:08] Time consumption:
[05.07.21|00:38:08] Done.
[05.07.21|00:38:08] Eval epoch: 356
[05.07.21|00:38:09] 	mean_loss: 0.36660630126917704. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:38:09] Done.
[05.07.21|00:38:09] Training epoch: 357
[05.07.21|00:38:41] 	Iter 29300 Done. | loss: 1.5917 | lr: 0.000700 | tf: 0.185590
[05.07.21|00:39:45] 	mean_loss: 0.3261539736689694. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:39:45] Time consumption:
[05.07.21|00:39:45] Done.
[05.07.21|00:39:45] Eval epoch: 357
[05.07.21|00:39:46] 	mean_loss: 0.301378475839488. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:39:46] Done.
[05.07.21|00:39:46] Training epoch: 358
[05.07.21|00:40:39] 	Iter 29400 Done. | loss: 5.4345 | lr: 0.000699 | tf: 0.184662
[05.07.21|00:41:21] 	mean_loss: 0.3563262019521549. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:41:21] Time consumption:
[05.07.21|00:41:21] Done.
[05.07.21|00:41:21] Eval epoch: 358
[05.07.21|00:41:22] 	mean_loss: 0.3739841706544528. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:41:22] Done.
[05.07.21|00:41:22] Training epoch: 359
[05.07.21|00:42:35] 	Iter 29500 Done. | loss: 3.8451 | lr: 0.000698 | tf: 0.183739
[05.07.21|00:42:58] 	mean_loss: 0.3342969611736286. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:42:58] Time consumption:
[05.07.21|00:42:58] Done.
[05.07.21|00:42:58] Eval epoch: 359
[05.07.21|00:42:59] 	mean_loss: 0.3210345031812099. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:42:59] Done.
[05.07.21|00:42:59] Training epoch: 360
[05.07.21|00:44:33] 	Iter 29600 Done. | loss: 3.8297 | lr: 0.000698 | tf: 0.182820
[05.07.21|00:44:34] 	mean_loss: 0.3418654456138023. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:44:34] Time consumption:
[05.07.21|00:44:34] Done.
[05.07.21|00:44:34] Eval epoch: 360
[05.07.21|00:44:35] 	mean_loss: 0.35629592735896554. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:44:35] Done.
[05.07.21|00:45:41] Training epoch: 361
[05.07.21|00:47:15] 	mean_loss: 0.3698410022462574. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:47:15] Time consumption:
[05.07.21|00:47:15] Done.
[05.07.21|00:47:15] Eval epoch: 361
[05.07.21|00:47:16] 	mean_loss: 0.3306186920683576. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:47:16] Done.
[05.07.21|00:47:16] Training epoch: 362
[05.07.21|00:47:36] 	Iter 29700 Done. | loss: 5.5206 | lr: 0.000696 | tf: 0.180997
[05.07.21|00:48:53] 	mean_loss: 0.32671654911027787. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:48:53] Time consumption:
[05.07.21|00:48:53] Done.
[05.07.21|00:48:53] Eval epoch: 362
[05.07.21|00:48:54] 	mean_loss: 0.4188117918460123. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:48:54] Done.
[05.07.21|00:48:54] Training epoch: 363
[05.07.21|00:49:35] 	Iter 29800 Done. | loss: 2.0753 | lr: 0.000695 | tf: 0.180092
[05.07.21|00:50:30] 	mean_loss: 0.3305434157979208. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:50:30] Time consumption:
[05.07.21|00:50:30] Done.
[05.07.21|00:50:30] Eval epoch: 363
[05.07.21|00:50:30] 	mean_loss: 0.3765312275128182. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:50:30] Done.
[05.07.21|00:50:30] Training epoch: 364
[05.07.21|00:51:32] 	Iter 29900 Done. | loss: 3.8056 | lr: 0.000695 | tf: 0.179191
[05.07.21|00:52:07] 	mean_loss: 0.3342051052984893. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:52:07] Time consumption:
[05.07.21|00:52:07] Done.
[05.07.21|00:52:07] Eval epoch: 364
[05.07.21|00:52:07] 	mean_loss: 0.3716465853199541. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:52:07] Done.
[05.07.21|00:52:07] Training epoch: 365
[05.07.21|00:53:31] 	Iter 30000 Done. | loss: 5.4010 | lr: 0.000694 | tf: 0.178295
[05.07.21|00:53:43] 	mean_loss: 0.35058935818731884. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:53:43] Time consumption:
[05.07.21|00:53:43] Done.
[05.07.21|00:53:43] Eval epoch: 365
[05.07.21|00:53:44] 	mean_loss: 0.324182998885685. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:53:44] Done.
[05.07.21|00:53:44] Training epoch: 366
[05.07.21|00:55:19] 	mean_loss: 0.34608874092601966. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:55:19] Time consumption:
[05.07.21|00:55:19] Done.
[05.07.21|00:55:19] Eval epoch: 366
[05.07.21|00:55:20] 	mean_loss: 0.3666295358825005. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:55:20] Done.
[05.07.21|00:55:20] Training epoch: 367
[05.07.21|00:55:29] 	Iter 30100 Done. | loss: 2.3321 | lr: 0.000693 | tf: 0.176517
[05.07.21|00:56:57] 	mean_loss: 0.32174574737201284. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:56:57] Time consumption:
[05.07.21|00:56:57] Done.
[05.07.21|00:56:57] Eval epoch: 367
[05.07.21|00:56:58] 	mean_loss: 0.35275978259895113. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:56:58] Done.
[05.07.21|00:56:58] Training epoch: 368
[05.07.21|00:57:27] 	Iter 30200 Done. | loss: 1.6820 | lr: 0.000692 | tf: 0.175634
[05.07.21|00:58:33] 	mean_loss: 0.3457519890865091. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:58:33] Time consumption:
[05.07.21|00:58:33] Done.
[05.07.21|00:58:33] Eval epoch: 368
[05.07.21|00:58:34] 	mean_loss: 0.32556656477155715. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|00:58:34] Done.
[05.07.21|00:58:34] Training epoch: 369
[05.07.21|00:59:25] 	Iter 30300 Done. | loss: 8.5219 | lr: 0.000691 | tf: 0.174756
[05.07.21|01:00:10] 	mean_loss: 0.3243753296386581. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:00:10] Time consumption:
[05.07.21|01:00:10] Done.
[05.07.21|01:00:10] Eval epoch: 369
[05.07.21|01:00:11] 	mean_loss: 0.4034457254745717. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:00:11] Done.
[05.07.21|01:00:11] Training epoch: 370
[05.07.21|01:01:23] 	Iter 30400 Done. | loss: 5.7326 | lr: 0.000691 | tf: 0.173882
[05.07.21|01:01:48] 	mean_loss: 0.3246652287977518. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:01:48] Time consumption:
[05.07.21|01:01:48] Done.
[05.07.21|01:01:48] Eval epoch: 370
[05.07.21|01:01:49] 	mean_loss: 0.35504057070508144. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:01:49] Done.
[05.07.21|01:02:56] Training epoch: 371
[05.07.21|01:04:28] 	Iter 30500 Done. | loss: 7.0317 | lr: 0.000690 | tf: 0.173013
[05.07.21|01:04:31] 	mean_loss: 0.32640482297271434. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:04:31] Time consumption:
[05.07.21|01:04:31] Done.
[05.07.21|01:04:31] Eval epoch: 371
[05.07.21|01:04:32] 	mean_loss: 0.36354799774672797. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:04:32] Done.
[05.07.21|01:04:32] Training epoch: 372
[05.07.21|01:06:07] 	mean_loss: 0.3407377094014475. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:06:07] Time consumption:
[05.07.21|01:06:07] Done.
[05.07.21|01:06:07] Eval epoch: 372
[05.07.21|01:06:08] 	mean_loss: 0.34003365560725335. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:06:08] Done.
[05.07.21|01:06:08] Training epoch: 373
[05.07.21|01:06:25] 	Iter 30600 Done. | loss: 7.0029 | lr: 0.000689 | tf: 0.171287
[05.07.21|01:07:42] 	mean_loss: 0.35449268425402547. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:07:42] Time consumption:
[05.07.21|01:07:42] Done.
[05.07.21|01:07:42] Eval epoch: 373
[05.07.21|01:07:43] 	mean_loss: 0.3804110227224609. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:07:43] Done.
[05.07.21|01:07:43] Training epoch: 374
[05.07.21|01:08:22] 	Iter 30700 Done. | loss: 8.7643 | lr: 0.000688 | tf: 0.170431
[05.07.21|01:09:18] 	mean_loss: 0.3467248771092531. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:09:18] Time consumption:
[05.07.21|01:09:18] Done.
[05.07.21|01:09:18] Eval epoch: 374
[05.07.21|01:09:19] 	mean_loss: 0.3396462138013465. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:09:19] Done.
[05.07.21|01:09:19] Training epoch: 375
[05.07.21|01:10:20] 	Iter 30800 Done. | loss: 2.1850 | lr: 0.000687 | tf: 0.169578
[05.07.21|01:10:56] 	mean_loss: 0.33229110415752955. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:10:56] Time consumption:
[05.07.21|01:10:56] Done.
[05.07.21|01:10:56] Eval epoch: 375
[05.07.21|01:10:57] 	mean_loss: 0.36758320247997506. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:10:57] Done.
[05.07.21|01:10:57] Training epoch: 376
[05.07.21|01:12:15] 	Iter 30900 Done. | loss: 1.4914 | lr: 0.000686 | tf: 0.168731
[05.07.21|01:12:30] 	mean_loss: 0.3699570237927172. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:12:30] Time consumption:
[05.07.21|01:12:30] Done.
[05.07.21|01:12:30] Eval epoch: 376
[05.07.21|01:12:31] 	mean_loss: 0.3285479063123499. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:12:31] Done.
[05.07.21|01:12:31] Training epoch: 377
[05.07.21|01:14:09] 	mean_loss: 0.3068525140949536. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:14:09] Time consumption:
[05.07.21|01:14:09] Done.
[05.07.21|01:14:09] Eval epoch: 377
[05.07.21|01:14:10] 	mean_loss: 0.33460071630731475. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:14:10] Done.
[05.07.21|01:14:10] Training epoch: 378
[05.07.21|01:14:16] 	Iter 31000 Done. | loss: 6.9581 | lr: 0.000685 | tf: 0.167047
[05.07.21|01:15:45] 	mean_loss: 0.3403503884678063. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:15:45] Time consumption:
[05.07.21|01:15:45] Done.
[05.07.21|01:15:45] Eval epoch: 378
[05.07.21|01:15:46] 	mean_loss: 0.34819410405826046. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:15:46] Done.
[05.07.21|01:15:46] Training epoch: 379
[05.07.21|01:16:12] 	Iter 31100 Done. | loss: 8.8167 | lr: 0.000684 | tf: 0.166212
[05.07.21|01:17:24] 	mean_loss: 0.3175874488700085. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:17:24] Time consumption:
[05.07.21|01:17:24] Done.
[05.07.21|01:17:24] Eval epoch: 379
[05.07.21|01:17:24] 	mean_loss: 0.36903212112042166. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:17:24] Done.
[05.07.21|01:17:24] Training epoch: 380
[05.07.21|01:18:10] 	Iter 31200 Done. | loss: 10.5412 | lr: 0.000684 | tf: 0.165381
[05.07.21|01:18:57] 	mean_loss: 0.37236337324810675. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:18:57] Time consumption:
[05.07.21|01:18:57] Done.
[05.07.21|01:18:57] Eval epoch: 380
[05.07.21|01:18:58] 	mean_loss: 0.3460351442391703. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:18:58] Done.
[05.07.21|01:20:06] Training epoch: 381
[05.07.21|01:21:15] 	Iter 31300 Done. | loss: 6.8080 | lr: 0.000683 | tf: 0.164554
[05.07.21|01:21:41] 	mean_loss: 0.3329695785472338. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:21:41] Time consumption:
[05.07.21|01:21:41] Done.
[05.07.21|01:21:41] Eval epoch: 381
[05.07.21|01:21:42] 	mean_loss: 0.3642077522042758. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:21:42] Done.
[05.07.21|01:21:42] Training epoch: 382
[05.07.21|01:23:12] 	Iter 31400 Done. | loss: 2.0081 | lr: 0.000682 | tf: 0.163731
[05.07.21|01:23:17] 	mean_loss: 0.3339317341941092. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:23:17] Time consumption:
[05.07.21|01:23:17] Done.
[05.07.21|01:23:17] Eval epoch: 382
[05.07.21|01:23:18] 	mean_loss: 0.3714057534812227. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:23:18] Done.
[05.07.21|01:23:18] Training epoch: 383
[05.07.21|01:24:53] 	mean_loss: 0.351317036446324. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:24:53] Time consumption:
[05.07.21|01:24:53] Done.
[05.07.21|01:24:53] Eval epoch: 383
[05.07.21|01:24:54] 	mean_loss: 0.417108187635664. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:24:54] Done.
[05.07.21|01:24:54] Training epoch: 384
[05.07.21|01:25:09] 	Iter 31500 Done. | loss: 7.3168 | lr: 0.000681 | tf: 0.162098
[05.07.21|01:26:30] 	mean_loss: 0.3662802854122979. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:26:30] Time consumption:
[05.07.21|01:26:30] Done.
[05.07.21|01:26:30] Eval epoch: 384
[05.07.21|01:26:31] 	mean_loss: 0.41920247483603523. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:26:31] Done.
[05.07.21|01:26:31] Training epoch: 385
[05.07.21|01:27:07] 	Iter 31600 Done. | loss: 6.2756 | lr: 0.000680 | tf: 0.161288
[05.07.21|01:28:07] 	mean_loss: 0.36211550772393697. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:28:07] Time consumption:
[05.07.21|01:28:07] Done.
[05.07.21|01:28:07] Eval epoch: 385
[05.07.21|01:28:08] 	mean_loss: 0.4083323790100022. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:28:08] Done.
[05.07.21|01:28:08] Training epoch: 386
[05.07.21|01:29:06] 	Iter 31700 Done. | loss: 8.8159 | lr: 0.000680 | tf: 0.160481
[05.07.21|01:29:44] 	mean_loss: 0.3703938343628383. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:29:44] Time consumption:
[05.07.21|01:29:44] Done.
[05.07.21|01:29:44] Eval epoch: 386
[05.07.21|01:29:45] 	mean_loss: 0.3415640378292461. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:29:45] Done.
[05.07.21|01:29:45] Training epoch: 387
[05.07.21|01:31:01] 	Iter 31800 Done. | loss: 5.6171 | lr: 0.000679 | tf: 0.159679
[05.07.21|01:31:20] 	mean_loss: 0.36880411783808476. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:31:20] Time consumption:
[05.07.21|01:31:20] Done.
[05.07.21|01:31:20] Eval epoch: 387
[05.07.21|01:31:21] 	mean_loss: 0.3989152497179226. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:31:21] Done.
[05.07.21|01:31:21] Training epoch: 388
[05.07.21|01:32:56] 	mean_loss: 0.3521471387781571. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:32:56] Time consumption:
[05.07.21|01:32:56] Done.
[05.07.21|01:32:56] Eval epoch: 388
[05.07.21|01:32:57] 	mean_loss: 0.3575621124391824. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:32:57] Done.
[05.07.21|01:32:57] Training epoch: 389
[05.07.21|01:33:00] 	Iter 31900 Done. | loss: 5.5508 | lr: 0.000678 | tf: 0.158086
[05.07.21|01:34:34] 	mean_loss: 0.33100320945585454. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:34:34] Time consumption:
[05.07.21|01:34:34] Done.
[05.07.21|01:34:34] Eval epoch: 389
[05.07.21|01:34:35] 	mean_loss: 0.38066742768249134. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:34:35] Done.
[05.07.21|01:34:35] Training epoch: 390
[05.07.21|01:34:59] 	Iter 32000 Done. | loss: 4.9090 | lr: 0.000677 | tf: 0.157296
[05.07.21|01:36:09] 	mean_loss: 0.3685210853573952. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:36:09] Time consumption:
[05.07.21|01:36:09] Done.
[05.07.21|01:36:09] Eval epoch: 390
[05.07.21|01:36:10] 	mean_loss: 0.39057520407466184. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:36:10] Done.
[05.07.21|01:37:13] Training epoch: 391
[05.07.21|01:38:00] 	Iter 32100 Done. | loss: 1.3070 | lr: 0.000676 | tf: 0.156509
[05.07.21|01:38:51] 	mean_loss: 0.3199747229118681. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:38:51] Time consumption:
[05.07.21|01:38:51] Done.
[05.07.21|01:38:51] Eval epoch: 391
[05.07.21|01:38:52] 	mean_loss: 0.38694794024565354. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:38:52] Done.
[05.07.21|01:38:52] Training epoch: 392
[05.07.21|01:39:59] 	Iter 32200 Done. | loss: 1.3960 | lr: 0.000676 | tf: 0.155727
[05.07.21|01:40:29] 	mean_loss: 0.324369074591778. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:40:29] Time consumption:
[05.07.21|01:40:29] Done.
[05.07.21|01:40:29] Eval epoch: 392
[05.07.21|01:40:29] 	mean_loss: 0.3679850395600141. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:40:29] Done.
[05.07.21|01:40:29] Training epoch: 393
[05.07.21|01:41:59] 	Iter 32300 Done. | loss: 5.6356 | lr: 0.000675 | tf: 0.154948
[05.07.21|01:42:07] 	mean_loss: 0.3266144996335815. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:42:07] Time consumption:
[05.07.21|01:42:07] Done.
[05.07.21|01:42:07] Eval epoch: 393
[05.07.21|01:42:07] 	mean_loss: 0.36596555926605656. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:42:07] Done.
[05.07.21|01:42:07] Training epoch: 394
[05.07.21|01:43:45] 	mean_loss: 0.3134509966466973. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:43:45] Time consumption:
[05.07.21|01:43:45] Done.
[05.07.21|01:43:45] Eval epoch: 394
[05.07.21|01:43:46] 	mean_loss: 0.3693793158198111. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:43:46] Done.
[05.07.21|01:43:46] Training epoch: 395
[05.07.21|01:43:59] 	Iter 32400 Done. | loss: 5.5201 | lr: 0.000674 | tf: 0.153402
[05.07.21|01:45:23] 	mean_loss: 0.32925718675911664. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:45:23] Time consumption:
[05.07.21|01:45:23] Done.
[05.07.21|01:45:23] Eval epoch: 395
[05.07.21|01:45:24] 	mean_loss: 0.3793184104928503. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:45:24] Done.
[05.07.21|01:45:24] Training epoch: 396
[05.07.21|01:45:56] 	Iter 32500 Done. | loss: 5.8935 | lr: 0.000673 | tf: 0.152635
[05.07.21|01:46:57] 	mean_loss: 0.36604702931795635. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:46:57] Time consumption:
[05.07.21|01:46:57] Done.
[05.07.21|01:46:57] Eval epoch: 396
[05.07.21|01:46:58] 	mean_loss: 0.3600481996218545. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:46:58] Done.
[05.07.21|01:46:58] Training epoch: 397
[05.07.21|01:47:52] 	Iter 32600 Done. | loss: 5.4126 | lr: 0.000672 | tf: 0.151872
[05.07.21|01:48:32] 	mean_loss: 0.3514882258726625. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:48:32] Time consumption:
[05.07.21|01:48:32] Done.
[05.07.21|01:48:32] Eval epoch: 397
[05.07.21|01:48:33] 	mean_loss: 0.34656473513758423. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:48:33] Done.
[05.07.21|01:48:33] Training epoch: 398
[05.07.21|01:49:49] 	Iter 32700 Done. | loss: 6.9999 | lr: 0.000672 | tf: 0.151113
[05.07.21|01:50:10] 	mean_loss: 0.3279800256638137. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:50:10] Time consumption:
[05.07.21|01:50:10] Done.
[05.07.21|01:50:10] Eval epoch: 398
[05.07.21|01:50:10] 	mean_loss: 0.39993306025221037. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:50:10] Done.
[05.07.21|01:50:10] Training epoch: 399
[05.07.21|01:51:48] 	mean_loss: 0.30614163737359484. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:51:48] Time consumption:
[05.07.21|01:51:48] Done.
[05.07.21|01:51:48] Eval epoch: 399
[05.07.21|01:51:49] 	mean_loss: 0.3890386004911647. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:51:49] Done.
[05.07.21|01:51:49] Training epoch: 400
[05.07.21|01:51:50] 	Iter 32800 Done. | loss: 7.4378 | lr: 0.000670 | tf: 0.149606
[05.07.21|01:53:24] 	mean_loss: 0.3615910034292239. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:53:24] Time consumption:
[05.07.21|01:53:24] Done.
[05.07.21|01:53:24] Eval epoch: 400
[05.07.21|01:53:24] 	mean_loss: 0.3571200281574606. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:53:24] Done.
[05.07.21|01:54:30] Training epoch: 401
[05.07.21|01:54:53] 	Iter 32900 Done. | loss: 6.8795 | lr: 0.000670 | tf: 0.148857
[05.07.21|01:56:05] 	mean_loss: 0.36066027514476284. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:56:05] Time consumption:
[05.07.21|01:56:05] Done.
[05.07.21|01:56:05] Eval epoch: 401
[05.07.21|01:56:06] 	mean_loss: 0.3784568136563874. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:56:06] Done.
[05.07.21|01:56:06] Training epoch: 402
[05.07.21|01:56:49] 	Iter 33000 Done. | loss: 5.6512 | lr: 0.000669 | tf: 0.148113
[05.07.21|01:57:41] 	mean_loss: 0.3426618405017894. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:57:41] Time consumption:
[05.07.21|01:57:41] Done.
[05.07.21|01:57:41] Eval epoch: 402
[05.07.21|01:57:42] 	mean_loss: 0.3601140033096656. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:57:42] Done.
[05.07.21|01:57:42] Training epoch: 403
[05.07.21|01:58:46] 	Iter 33100 Done. | loss: 5.5639 | lr: 0.000668 | tf: 0.147373
[05.07.21|01:59:17] 	mean_loss: 0.37126869063696843. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:59:17] Time consumption:
[05.07.21|01:59:17] Done.
[05.07.21|01:59:17] Eval epoch: 403
[05.07.21|01:59:18] 	mean_loss: 0.366834722003513. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|01:59:18] Done.
[05.07.21|01:59:18] Training epoch: 404
[05.07.21|02:00:42] 	Iter 33200 Done. | loss: 5.2596 | lr: 0.000668 | tf: 0.146636
[05.07.21|02:00:52] 	mean_loss: 0.3518723779167598. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:00:52] Time consumption:
[05.07.21|02:00:52] Done.
[05.07.21|02:00:52] Eval epoch: 404
[05.07.21|02:00:53] 	mean_loss: 0.3311645069896282. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:00:53] Done.
[05.07.21|02:00:53] Training epoch: 405
[05.07.21|02:02:28] 	mean_loss: 0.3534755850366163. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:02:28] Time consumption:
[05.07.21|02:02:28] Done.
[05.07.21|02:02:28] Eval epoch: 405
[05.07.21|02:02:29] 	mean_loss: 0.36617709591395387. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:02:29] Done.
[05.07.21|02:02:29] Training epoch: 406
[05.07.21|02:02:40] 	Iter 33300 Done. | loss: 5.6637 | lr: 0.000666 | tf: 0.145173
[05.07.21|02:04:05] 	mean_loss: 0.33893369368376464. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:04:05] Time consumption:
[05.07.21|02:04:05] Done.
[05.07.21|02:04:05] Eval epoch: 406
[05.07.21|02:04:06] 	mean_loss: 0.3725902968713939. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:04:06] Done.
[05.07.21|02:04:06] Training epoch: 407
[05.07.21|02:04:37] 	Iter 33400 Done. | loss: 4.6775 | lr: 0.000666 | tf: 0.144447
[05.07.21|02:05:41] 	mean_loss: 0.3659284144234201. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:05:41] Time consumption:
[05.07.21|02:05:41] Done.
[05.07.21|02:05:41] Eval epoch: 407
[05.07.21|02:05:42] 	mean_loss: 0.3646639156840611. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:05:42] Done.
[05.07.21|02:05:42] Training epoch: 408
[05.07.21|02:06:34] 	Iter 33500 Done. | loss: 2.5032 | lr: 0.000665 | tf: 0.143725
[05.07.21|02:07:17] 	mean_loss: 0.3472326616351829. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:07:17] Time consumption:
[05.07.21|02:07:17] Done.
[05.07.21|02:07:17] Eval epoch: 408
[05.07.21|02:07:18] 	mean_loss: 0.34861880264188105. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:07:18] Done.
[05.07.21|02:07:18] Training epoch: 409
[05.07.21|02:08:31] 	Iter 33600 Done. | loss: 2.6933 | lr: 0.000664 | tf: 0.143006
[05.07.21|02:08:54] 	mean_loss: 0.3385862887119609. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:08:54] Time consumption:
[05.07.21|02:08:54] Done.
[05.07.21|02:08:54] Eval epoch: 409
[05.07.21|02:08:55] 	mean_loss: 0.41308496122602884. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:08:55] Done.
[05.07.21|02:08:55] Training epoch: 410
[05.07.21|02:10:29] 	Iter 33700 Done. | loss: 6.5212 | lr: 0.000664 | tf: 0.142291
[05.07.21|02:10:30] 	mean_loss: 0.3396993234553658. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:10:30] Time consumption:
[05.07.21|02:10:30] Done.
[05.07.21|02:10:30] Eval epoch: 410
[05.07.21|02:10:31] 	mean_loss: 0.3939189412388179. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:10:31] Done.
[05.07.21|02:11:33] Training epoch: 411
[05.07.21|02:13:10] 	mean_loss: 0.31765746170162906. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:13:10] Time consumption:
[05.07.21|02:13:10] Done.
[05.07.21|02:13:10] Eval epoch: 411
[05.07.21|02:13:11] 	mean_loss: 0.332757338727775. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:13:11] Done.
[05.07.21|02:13:11] Training epoch: 412
[05.07.21|02:13:31] 	Iter 33800 Done. | loss: 5.3218 | lr: 0.000662 | tf: 0.140872
[05.07.21|02:14:46] 	mean_loss: 0.3533452902045425. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:14:46] Time consumption:
[05.07.21|02:14:46] Done.
[05.07.21|02:14:46] Eval epoch: 412
[05.07.21|02:14:47] 	mean_loss: 0.3716041957369409. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:14:47] Done.
[05.07.21|02:14:47] Training epoch: 413
[05.07.21|02:15:27] 	Iter 33900 Done. | loss: 8.7017 | lr: 0.000662 | tf: 0.140168
[05.07.21|02:16:22] 	mean_loss: 0.33198326907512204. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:16:22] Time consumption:
[05.07.21|02:16:22] Done.
[05.07.21|02:16:22] Eval epoch: 413
[05.07.21|02:16:23] 	mean_loss: 0.4045262621524296. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:16:23] Done.
[05.07.21|02:16:23] Training epoch: 414
[05.07.21|02:17:24] 	Iter 34000 Done. | loss: 5.5593 | lr: 0.000661 | tf: 0.139467
[05.07.21|02:17:59] 	mean_loss: 0.34483945203867156. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:17:59] Time consumption:
[05.07.21|02:17:59] Done.
[05.07.21|02:17:59] Eval epoch: 414
[05.07.21|02:18:00] 	mean_loss: 0.34571412297027554. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:18:00] Done.
[05.07.21|02:18:00] Training epoch: 415
[05.07.21|02:19:23] 	Iter 34100 Done. | loss: 5.4575 | lr: 0.000660 | tf: 0.138769
[05.07.21|02:19:36] 	mean_loss: 0.33294383185922893. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:19:36] Time consumption:
[05.07.21|02:19:36] Done.
[05.07.21|02:19:36] Eval epoch: 415
[05.07.21|02:19:37] 	mean_loss: 0.35681262700988137. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:19:37] Done.
[05.07.21|02:19:37] Training epoch: 416
[05.07.21|02:21:13] 	mean_loss: 0.3359062737717065. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:21:13] Time consumption:
[05.07.21|02:21:13] Done.
[05.07.21|02:21:13] Eval epoch: 416
[05.07.21|02:21:14] 	mean_loss: 0.3587858120327304. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:21:14] Done.
[05.07.21|02:21:14] Training epoch: 417
[05.07.21|02:21:22] 	Iter 34200 Done. | loss: 5.4947 | lr: 0.000659 | tf: 0.137385
[05.07.21|02:22:49] 	mean_loss: 0.3422821515620331. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:22:49] Time consumption:
[05.07.21|02:22:49] Done.
[05.07.21|02:22:49] Eval epoch: 417
[05.07.21|02:22:50] 	mean_loss: 0.3688906114549305. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:22:50] Done.
[05.07.21|02:22:50] Training epoch: 418
[05.07.21|02:23:19] 	Iter 34300 Done. | loss: 5.1540 | lr: 0.000658 | tf: 0.136698
[05.07.21|02:24:25] 	mean_loss: 0.3481437774344606. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:24:25] Time consumption:
[05.07.21|02:24:25] Done.
[05.07.21|02:24:25] Eval epoch: 418
[05.07.21|02:24:26] 	mean_loss: 0.3857281021094501. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:24:26] Done.
[05.07.21|02:24:26] Training epoch: 419
[05.07.21|02:25:17] 	Iter 34400 Done. | loss: 8.4475 | lr: 0.000658 | tf: 0.136015
[05.07.21|02:26:03] 	mean_loss: 0.3299990740702526. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:26:03] Time consumption:
[05.07.21|02:26:03] Done.
[05.07.21|02:26:03] Eval epoch: 419
[05.07.21|02:26:04] 	mean_loss: 0.40540241130879684. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:26:04] Done.
[05.07.21|02:26:04] Training epoch: 420
[05.07.21|02:27:15] 	Iter 34500 Done. | loss: 2.7575 | lr: 0.000657 | tf: 0.135335
[05.07.21|02:27:40] 	mean_loss: 0.33204676408315237. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:27:40] Time consumption:
[05.07.21|02:27:40] Done.
[05.07.21|02:27:40] Eval epoch: 420
[05.07.21|02:27:41] 	mean_loss: 0.3629532840215176. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:27:41] Done.
[05.07.21|02:28:46] Training epoch: 421
[05.07.21|02:30:18] 	Iter 34600 Done. | loss: 5.6043 | lr: 0.000656 | tf: 0.134658
[05.07.21|02:30:21] 	mean_loss: 0.35389515316197073. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:30:21] Time consumption:
[05.07.21|02:30:21] Done.
[05.07.21|02:30:21] Eval epoch: 421
[05.07.21|02:30:22] 	mean_loss: 0.37599224212269605. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:30:22] Done.
[05.07.21|02:30:22] Training epoch: 422
[05.07.21|02:31:58] 	mean_loss: 0.3332893241231841. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:31:58] Time consumption:
[05.07.21|02:31:58] Done.
[05.07.21|02:31:58] Eval epoch: 422
[05.07.21|02:31:59] 	mean_loss: 0.32182163858501717. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:31:59] Done.
[05.07.21|02:31:59] Training epoch: 423
[05.07.21|02:32:16] 	Iter 34700 Done. | loss: 3.1431 | lr: 0.000655 | tf: 0.133315
[05.07.21|02:33:35] 	mean_loss: 0.32813628909352366. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:33:35] Time consumption:
[05.07.21|02:33:35] Done.
[05.07.21|02:33:35] Eval epoch: 423
[05.07.21|02:33:36] 	mean_loss: 0.3285563792839229. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:33:36] Done.
[05.07.21|02:33:36] Training epoch: 424
[05.07.21|02:34:13] 	Iter 34800 Done. | loss: 10.2742 | lr: 0.000654 | tf: 0.132648
[05.07.21|02:35:09] 	mean_loss: 0.3685790951237743. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:35:09] Time consumption:
[05.07.21|02:35:09] Done.
[05.07.21|02:35:09] Eval epoch: 424
[05.07.21|02:35:10] 	mean_loss: 0.36016863009091776. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:35:10] Done.
[05.07.21|02:35:10] Training epoch: 425
[05.07.21|02:36:08] 	Iter 34900 Done. | loss: 4.2870 | lr: 0.000654 | tf: 0.131985
[05.07.21|02:36:45] 	mean_loss: 0.3432536476162664. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:36:45] Time consumption:
[05.07.21|02:36:45] Done.
[05.07.21|02:36:45] Eval epoch: 425
[05.07.21|02:36:46] 	mean_loss: 0.3919272737040903. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:36:46] Done.
[05.07.21|02:36:46] Training epoch: 426
[05.07.21|02:38:06] 	Iter 35000 Done. | loss: 1.8899 | lr: 0.000653 | tf: 0.131325
[05.07.21|02:38:22] 	mean_loss: 0.32993261836491194. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:38:22] Time consumption:
[05.07.21|02:38:22] Done.
[05.07.21|02:38:22] Eval epoch: 426
[05.07.21|02:38:23] 	mean_loss: 0.34352020970323643. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:38:23] Done.
[05.07.21|02:38:23] Training epoch: 427
[05.07.21|02:39:57] 	mean_loss: 0.3700383021498264. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:39:57] Time consumption:
[05.07.21|02:39:57] Done.
[05.07.21|02:39:57] Eval epoch: 427
[05.07.21|02:39:57] 	mean_loss: 0.4659585283150151. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:39:57] Done.
[05.07.21|02:39:57] Training epoch: 428
[05.07.21|02:40:03] 	Iter 35100 Done. | loss: 5.6342 | lr: 0.000652 | tf: 0.130015
[05.07.21|02:41:33] 	mean_loss: 0.35702712401612874. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:41:33] Time consumption:
[05.07.21|02:41:33] Done.
[05.07.21|02:41:33] Eval epoch: 428
[05.07.21|02:41:34] 	mean_loss: 0.3885570392117291. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:41:34] Done.
[05.07.21|02:41:34] Training epoch: 429
[05.07.21|02:42:01] 	Iter 35200 Done. | loss: 1.9817 | lr: 0.000651 | tf: 0.129365
[05.07.21|02:43:09] 	mean_loss: 0.3563561999865512. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:43:09] Time consumption:
[05.07.21|02:43:09] Done.
[05.07.21|02:43:09] Eval epoch: 429
[05.07.21|02:43:10] 	mean_loss: 0.41742640366238487. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:43:10] Done.
[05.07.21|02:43:10] Training epoch: 430
[05.07.21|02:43:58] 	Iter 35300 Done. | loss: 7.8879 | lr: 0.000650 | tf: 0.128718
[05.07.21|02:44:45] 	mean_loss: 0.38759420574380926. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:44:45] Time consumption:
[05.07.21|02:44:45] Done.
[05.07.21|02:44:45] Eval epoch: 430
[05.07.21|02:44:46] 	mean_loss: 0.35850034249639945. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:44:46] Done.
[05.07.21|02:45:53] Training epoch: 431
[05.07.21|02:47:01] 	Iter 35400 Done. | loss: 9.8220 | lr: 0.000650 | tf: 0.128075
[05.07.21|02:47:28] 	mean_loss: 530.3838725673536. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:47:28] Time consumption:
[05.07.21|02:47:28] Done.
[05.07.21|02:47:28] Eval epoch: 431
[05.07.21|02:47:29] 	mean_loss: 0.37591243823523846. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:47:29] Done.
[05.07.21|02:47:29] Training epoch: 432
[05.07.21|02:49:00] 	Iter 35500 Done. | loss: 5.2013 | lr: 0.000649 | tf: 0.127434
[05.07.21|02:49:05] 	mean_loss: 0.34464741361640094. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:49:05] Time consumption:
[05.07.21|02:49:05] Done.
[05.07.21|02:49:05] Eval epoch: 432
[05.07.21|02:49:06] 	mean_loss: 0.3367263005396961. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:49:06] Done.
[05.07.21|02:49:06] Training epoch: 433
[05.07.21|02:50:43] 	mean_loss: 0.3469872587204628. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:50:43] Time consumption:
[05.07.21|02:50:43] Done.
[05.07.21|02:50:43] Eval epoch: 433
[05.07.21|02:50:43] 	mean_loss: 0.28708417370479095. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:50:43] Done.
[05.07.21|02:50:43] Training epoch: 434
[05.07.21|02:51:00] 	Iter 35600 Done. | loss: 5.6269 | lr: 0.000648 | tf: 0.126163
[05.07.21|02:52:19] 	mean_loss: 0.35716142433901027. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:52:19] Time consumption:
[05.07.21|02:52:19] Done.
[05.07.21|02:52:19] Eval epoch: 434
[05.07.21|02:52:20] 	mean_loss: 0.38598395457294954. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:52:20] Done.
[05.07.21|02:52:20] Training epoch: 435
[05.07.21|02:52:56] 	Iter 35700 Done. | loss: 2.3615 | lr: 0.000647 | tf: 0.125532
[05.07.21|02:53:56] 	mean_loss: 0.35261610911383223. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:53:56] Time consumption:
[05.07.21|02:53:56] Done.
[05.07.21|02:53:56] Eval epoch: 435
[05.07.21|02:53:57] 	mean_loss: 0.3361452789032494. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:53:57] Done.
[05.07.21|02:53:57] Training epoch: 436
[05.07.21|02:54:54] 	Iter 35800 Done. | loss: 5.7205 | lr: 0.000646 | tf: 0.124905
[05.07.21|02:55:32] 	mean_loss: 0.34047027072011493. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:55:32] Time consumption:
[05.07.21|02:55:32] Done.
[05.07.21|02:55:32] Eval epoch: 436
[05.07.21|02:55:33] 	mean_loss: 0.39101913888401135. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:55:33] Done.
[05.07.21|02:55:33] Training epoch: 437
[05.07.21|02:56:48] 	Iter 35900 Done. | loss: 2.4423 | lr: 0.000646 | tf: 0.124280
[05.07.21|02:57:06] 	mean_loss: 0.37641758090995203. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:57:06] Time consumption:
[05.07.21|02:57:06] Done.
[05.07.21|02:57:06] Eval epoch: 437
[05.07.21|02:57:07] 	mean_loss: 0.38689902052260644. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:57:07] Done.
[05.07.21|02:57:07] Training epoch: 438
[05.07.21|02:58:41] 	mean_loss: 0.3514890585377152. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:58:41] Time consumption:
[05.07.21|02:58:41] Done.
[05.07.21|02:58:41] Eval epoch: 438
[05.07.21|02:58:42] 	mean_loss: 0.3624310424425394. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|02:58:42] Done.
[05.07.21|02:58:42] Training epoch: 439
[05.07.21|02:58:45] 	Iter 36000 Done. | loss: 7.1003 | lr: 0.000645 | tf: 0.123040
[05.07.21|03:00:18] 	mean_loss: 0.33465815483825034. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:00:18] Time consumption:
[05.07.21|03:00:18] Done.
[05.07.21|03:00:18] Eval epoch: 439
[05.07.21|03:00:19] 	mean_loss: 0.3408315781676792. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:00:19] Done.
[05.07.21|03:00:19] Training epoch: 440
[05.07.21|03:00:43] 	Iter 36100 Done. | loss: 5.2352 | lr: 0.000644 | tf: 0.122425
[05.07.21|03:01:54] 	mean_loss: 0.3397767650583523. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:01:54] Time consumption:
[05.07.21|03:01:54] Done.
[05.07.21|03:01:54] Eval epoch: 440
[05.07.21|03:01:55] 	mean_loss: 0.3545962100180113. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:01:55] Done.
[05.07.21|03:03:02] Training epoch: 441
[05.07.21|03:03:47] 	Iter 36200 Done. | loss: 6.9871 | lr: 0.000643 | tf: 0.121813
[05.07.21|03:04:36] 	mean_loss: 0.34800123674940475. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:04:36] Time consumption:
[05.07.21|03:04:36] Done.
[05.07.21|03:04:36] Eval epoch: 441
[05.07.21|03:04:37] 	mean_loss: 0.3391429749555717. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:04:37] Done.
[05.07.21|03:04:37] Training epoch: 442
[05.07.21|03:05:44] 	Iter 36300 Done. | loss: 6.3379 | lr: 0.000643 | tf: 0.121204
[05.07.21|03:06:13] 	mean_loss: 0.3361430713372356. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:06:13] Time consumption:
[05.07.21|03:06:13] Done.
[05.07.21|03:06:13] Eval epoch: 442
[05.07.21|03:06:14] 	mean_loss: 0.28606369413025495. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:06:14] Done.
[05.07.21|03:06:14] Training epoch: 443
[05.07.21|03:07:41] 	Iter 36400 Done. | loss: 8.0258 | lr: 0.000642 | tf: 0.120598
[05.07.21|03:07:49] 	mean_loss: 0.33558181926494773. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:07:49] Time consumption:
[05.07.21|03:07:49] Done.
[05.07.21|03:07:49] Eval epoch: 443
[05.07.21|03:07:50] 	mean_loss: 0.3845878465963577. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:07:50] Done.
[05.07.21|03:07:50] Training epoch: 444
[05.07.21|03:09:25] 	mean_loss: 0.3322364829362794. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:09:25] Time consumption:
[05.07.21|03:09:25] Done.
[05.07.21|03:09:25] Eval epoch: 444
[05.07.21|03:09:26] 	mean_loss: 0.40454402162193953. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:09:26] Done.
[05.07.21|03:09:26] Training epoch: 445
[05.07.21|03:09:39] 	Iter 36500 Done. | loss: 4.1402 | lr: 0.000641 | tf: 0.119395
[05.07.21|03:11:02] 	mean_loss: 0.3429043976143463. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:11:02] Time consumption:
[05.07.21|03:11:02] Done.
[05.07.21|03:11:02] Eval epoch: 445
[05.07.21|03:11:03] 	mean_loss: 0.34179301731918676. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:11:03] Done.
[05.07.21|03:11:03] Training epoch: 446
[05.07.21|03:11:36] 	Iter 36600 Done. | loss: 5.6078 | lr: 0.000640 | tf: 0.118798
[05.07.21|03:12:38] 	mean_loss: 0.3385226722101639. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:12:38] Time consumption:
[05.07.21|03:12:38] Done.
[05.07.21|03:12:38] Eval epoch: 446
[05.07.21|03:12:39] 	mean_loss: 0.3881721674697322. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:12:39] Done.
[05.07.21|03:12:39] Training epoch: 447
[05.07.21|03:13:33] 	Iter 36700 Done. | loss: 2.7141 | lr: 0.000639 | tf: 0.118204
[05.07.21|03:14:15] 	mean_loss: 0.329692960932242. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:14:15] Time consumption:
[05.07.21|03:14:15] Done.
[05.07.21|03:14:15] Eval epoch: 447
[05.07.21|03:14:16] 	mean_loss: 0.31473828588278846. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:14:16] Done.
[05.07.21|03:14:16] Training epoch: 448
[05.07.21|03:15:31] 	Iter 36800 Done. | loss: 4.2613 | lr: 0.000639 | tf: 0.117613
[05.07.21|03:15:50] 	mean_loss: 0.35030441387622685. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:15:50] Time consumption:
[05.07.21|03:15:50] Done.
[05.07.21|03:15:50] Eval epoch: 448
[05.07.21|03:15:51] 	mean_loss: 0.3397172808611984. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:15:51] Done.
[05.07.21|03:15:51] Training epoch: 449
[05.07.21|03:17:24] 	mean_loss: 0.3688021016511177. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:17:24] Time consumption:
[05.07.21|03:17:24] Done.
[05.07.21|03:17:24] Eval epoch: 449
[05.07.21|03:17:25] 	mean_loss: 0.3645710640299059. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:17:25] Done.
[05.07.21|03:17:25] Training epoch: 450
[05.07.21|03:17:26] 	Iter 36900 Done. | loss: 7.0601 | lr: 0.000637 | tf: 0.116440
[05.07.21|03:19:00] 	mean_loss: 0.35225263107881294. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:19:00] Time consumption:
[05.07.21|03:19:00] Done.
[05.07.21|03:19:00] Eval epoch: 450
[05.07.21|03:19:01] 	mean_loss: 0.3897201295477807. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:19:01] Done.
[05.07.21|03:20:02] Training epoch: 451
[05.07.21|03:20:25] 	Iter 37000 Done. | loss: 4.1620 | lr: 0.000637 | tf: 0.115858
[05.07.21|03:21:39] 	mean_loss: 0.32483867869848976. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:21:39] Time consumption:
[05.07.21|03:21:39] Done.
[05.07.21|03:21:39] Eval epoch: 451
[05.07.21|03:21:40] 	mean_loss: 0.34372519443464833. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:21:40] Done.
[05.07.21|03:21:40] Training epoch: 452
[05.07.21|03:22:21] 	Iter 37100 Done. | loss: 5.2889 | lr: 0.000636 | tf: 0.115278
[05.07.21|03:23:14] 	mean_loss: 8278.48556786095. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:23:14] Time consumption:
[05.07.21|03:23:14] Done.
[05.07.21|03:23:14] Eval epoch: 452
[05.07.21|03:23:15] 	mean_loss: 0.4502702867481104. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:23:15] Done.
[05.07.21|03:23:15] Training epoch: 453
[05.07.21|03:24:18] 	Iter 37200 Done. | loss: 2.7350 | lr: 0.000636 | tf: 0.114702
[05.07.21|03:24:49] 	mean_loss: 0.3637062446816466. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:24:49] Time consumption:
[05.07.21|03:24:49] Done.
[05.07.21|03:24:49] Eval epoch: 453
[05.07.21|03:24:49] 	mean_loss: 0.35555609330116533. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:24:49] Done.
[05.07.21|03:24:49] Training epoch: 454
[05.07.21|03:26:13] 	Iter 37300 Done. | loss: 5.3182 | lr: 0.000635 | tf: 0.114128
[05.07.21|03:26:23] 	mean_loss: 0.3498101088472064. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:26:23] Time consumption:
[05.07.21|03:26:23] Done.
[05.07.21|03:26:23] Eval epoch: 454
[05.07.21|03:26:24] 	mean_loss: 0.3355460389076911. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:26:24] Done.
[05.07.21|03:26:24] Training epoch: 455
[05.07.21|03:28:03] 	mean_loss: 0.2897216495374226. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:28:03] Time consumption:
[05.07.21|03:28:03] Done.
[05.07.21|03:28:03] Eval epoch: 455
[05.07.21|03:28:04] 	mean_loss: 0.40418770691523465. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:28:04] Done.
[05.07.21|03:28:04] Training epoch: 456
[05.07.21|03:28:15] 	Iter 37400 Done. | loss: 6.4846 | lr: 0.000634 | tf: 0.112990
[05.07.21|03:29:40] 	mean_loss: 0.3399386898807443. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:29:40] Time consumption:
[05.07.21|03:29:40] Done.
[05.07.21|03:29:40] Eval epoch: 456
[05.07.21|03:29:41] 	mean_loss: 0.3421882248487621. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:29:41] Done.
[05.07.21|03:29:41] Training epoch: 457
[05.07.21|03:30:11] 	Iter 37500 Done. | loss: 3.6370 | lr: 0.000633 | tf: 0.112425
[05.07.21|03:31:16] 	mean_loss: 0.34103572228070705. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:31:16] Time consumption:
[05.07.21|03:31:16] Done.
[05.07.21|03:31:16] Eval epoch: 457
[05.07.21|03:31:17] 	mean_loss: 0.3300769305655568. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:31:17] Done.
[05.07.21|03:31:17] Training epoch: 458
[05.07.21|03:32:07] 	Iter 37600 Done. | loss: 6.9366 | lr: 0.000632 | tf: 0.111863
[05.07.21|03:32:49] 	mean_loss: 0.36964902355505397. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:32:49] Time consumption:
[05.07.21|03:32:49] Done.
[05.07.21|03:32:49] Eval epoch: 458
[05.07.21|03:32:50] 	mean_loss: 0.4263804048370676. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:32:50] Done.
[05.07.21|03:32:50] Training epoch: 459
[05.07.21|03:34:04] 	Iter 37700 Done. | loss: 2.2107 | lr: 0.000632 | tf: 0.111304
[05.07.21|03:34:26] 	mean_loss: 0.3314223875932385. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:34:26] Time consumption:
[05.07.21|03:34:26] Done.
[05.07.21|03:34:26] Eval epoch: 459
[05.07.21|03:34:26] 	mean_loss: 0.3608905613185386. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:34:26] Done.
[05.07.21|03:34:26] Training epoch: 460
[05.07.21|03:36:00] 	Iter 37800 Done. | loss: 7.2226 | lr: 0.000631 | tf: 0.110747
[05.07.21|03:36:01] 	mean_loss: 0.3488896760834612. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:36:01] Time consumption:
[05.07.21|03:36:01] Done.
[05.07.21|03:36:01] Eval epoch: 460
[05.07.21|03:36:02] 	mean_loss: 0.35574593638471697. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:36:02] Done.
[05.07.21|03:37:06] Training epoch: 461
[05.07.21|03:38:43] 	mean_loss: 0.32056005637777274. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:38:43] Time consumption:
[05.07.21|03:38:43] Done.
[05.07.21|03:38:43] Eval epoch: 461
[05.07.21|03:38:44] 	mean_loss: 0.3445039220236502. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:38:44] Done.
[05.07.21|03:38:44] Training epoch: 462
[05.07.21|03:39:03] 	Iter 37900 Done. | loss: 5.6188 | lr: 0.000630 | tf: 0.109642
[05.07.21|03:40:19] 	mean_loss: 0.3405852412585167. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:40:19] Time consumption:
[05.07.21|03:40:19] Done.
[05.07.21|03:40:19] Eval epoch: 462
[05.07.21|03:40:19] 	mean_loss: 0.34497212980445735. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:40:19] Done.
[05.07.21|03:40:19] Training epoch: 463
[05.07.21|03:40:59] 	Iter 38000 Done. | loss: 5.3470 | lr: 0.000629 | tf: 0.109094
[05.07.21|03:41:53] 	mean_loss: 0.3631358230607035. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:41:53] Time consumption:
[05.07.21|03:41:53] Done.
[05.07.21|03:41:53] Eval epoch: 463
[05.07.21|03:41:54] 	mean_loss: 0.354592843219235. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:41:54] Done.
[05.07.21|03:41:54] Training epoch: 464
[05.07.21|03:42:55] 	Iter 38100 Done. | loss: 6.9554 | lr: 0.000629 | tf: 0.108549
[05.07.21|03:43:29] 	mean_loss: 0.3439181936758719. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:43:29] Time consumption:
[05.07.21|03:43:29] Done.
[05.07.21|03:43:29] Eval epoch: 464
[05.07.21|03:43:29] 	mean_loss: 0.385731229510415. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:43:29] Done.
[05.07.21|03:43:29] Training epoch: 465
[05.07.21|03:44:51] 	Iter 38200 Done. | loss: 10.5609 | lr: 0.000628 | tf: 0.108006
[05.07.21|03:45:04] 	mean_loss: 0.3609493471281854. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:45:04] Time consumption:
[05.07.21|03:45:04] Done.
[05.07.21|03:45:04] Eval epoch: 465
[05.07.21|03:45:05] 	mean_loss: 0.37584082524212076. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:45:05] Done.
[05.07.21|03:45:05] Training epoch: 466
[05.07.21|03:46:41] 	mean_loss: 0.3389580421060199. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:46:41] Time consumption:
[05.07.21|03:46:41] Done.
[05.07.21|03:46:41] Eval epoch: 466
[05.07.21|03:46:42] 	mean_loss: 0.3435962918568914. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:46:42] Done.
[05.07.21|03:46:42] Training epoch: 467
[05.07.21|03:46:51] 	Iter 38300 Done. | loss: 1.3095 | lr: 0.000627 | tf: 0.106929
[05.07.21|03:48:16] 	mean_loss: 0.3506791046314588. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:48:16] Time consumption:
[05.07.21|03:48:16] Done.
[05.07.21|03:48:16] Eval epoch: 467
[05.07.21|03:48:17] 	mean_loss: 0.36575073309536804. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:48:17] Done.
[05.07.21|03:48:17] Training epoch: 468
[05.07.21|03:48:46] 	Iter 38400 Done. | loss: 5.1978 | lr: 0.000626 | tf: 0.106394
[05.07.21|03:49:53] 	mean_loss: 0.32932514453510414. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:49:53] Time consumption:
[05.07.21|03:49:53] Done.
[05.07.21|03:49:53] Eval epoch: 468
[05.07.21|03:49:54] 	mean_loss: 0.3548087371371933. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:49:54] Done.
[05.07.21|03:49:54] Training epoch: 469
[05.07.21|03:50:45] 	Iter 38500 Done. | loss: 1.3640 | lr: 0.000625 | tf: 0.105862
[05.07.21|03:51:31] 	mean_loss: 0.3197915694326783. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:51:31] Time consumption:
[05.07.21|03:51:31] Done.
[05.07.21|03:51:31] Eval epoch: 469
[05.07.21|03:51:32] 	mean_loss: 0.41117538235550305. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:51:32] Done.
[05.07.21|03:51:32] Training epoch: 470
[05.07.21|03:52:43] 	Iter 38600 Done. | loss: 7.0211 | lr: 0.000625 | tf: 0.105333
[05.07.21|03:53:07] 	mean_loss: 0.33907432698220497. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:53:07] Time consumption:
[05.07.21|03:53:07] Done.
[05.07.21|03:53:07] Eval epoch: 470
[05.07.21|03:53:08] 	mean_loss: 0.37743563312044487. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:53:08] Done.
[05.07.21|03:54:14] Training epoch: 471
[05.07.21|03:55:46] 	Iter 38700 Done. | loss: 5.6329 | lr: 0.000624 | tf: 0.104806
[05.07.21|03:55:49] 	mean_loss: 18.425726972677722. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:55:49] Time consumption:
[05.07.21|03:55:49] Done.
[05.07.21|03:55:49] Eval epoch: 471
[05.07.21|03:55:50] 	mean_loss: 0.39353090590797474. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:55:50] Done.
[05.07.21|03:55:50] Training epoch: 472
[05.07.21|03:57:28] 	mean_loss: 0.3098010073649211. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:57:28] Time consumption:
[05.07.21|03:57:28] Done.
[05.07.21|03:57:28] Eval epoch: 472
[05.07.21|03:57:29] 	mean_loss: 0.34359488823475914. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:57:29] Done.
[05.07.21|03:57:29] Training epoch: 473
[05.07.21|03:57:46] 	Iter 38800 Done. | loss: 9.1024 | lr: 0.000623 | tf: 0.103761
[05.07.21|03:59:02] 	mean_loss: 0.35454436071843104. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:59:02] Time consumption:
[05.07.21|03:59:02] Done.
[05.07.21|03:59:02] Eval epoch: 473
[05.07.21|03:59:03] 	mean_loss: 0.38487625977888573. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|03:59:03] Done.
[05.07.21|03:59:03] Training epoch: 474
[05.07.21|03:59:42] 	Iter 38900 Done. | loss: 5.8210 | lr: 0.000622 | tf: 0.103242
[05.07.21|04:00:39] 	mean_loss: 0.3257900137868115. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:00:39] Time consumption:
[05.07.21|04:00:39] Done.
[05.07.21|04:00:39] Eval epoch: 474
[05.07.21|04:00:40] 	mean_loss: 0.36326686101268196. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:00:40] Done.
[05.07.21|04:00:40] Training epoch: 475
[05.07.21|04:01:39] 	Iter 39000 Done. | loss: 7.1004 | lr: 0.000622 | tf: 0.102726
[05.07.21|04:02:16] 	mean_loss: 0.3272343002672165. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:02:16] Time consumption:
[05.07.21|04:02:16] Done.
[05.07.21|04:02:16] Eval epoch: 475
[05.07.21|04:02:17] 	mean_loss: 0.35994427175023797. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:02:17] Done.
[05.07.21|04:02:17] Training epoch: 476
[05.07.21|04:03:36] 	Iter 39100 Done. | loss: 5.4111 | lr: 0.000621 | tf: 0.102212
[05.07.21|04:03:51] 	mean_loss: 0.34793971804724894. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:03:51] Time consumption:
[05.07.21|04:03:51] Done.
[05.07.21|04:03:51] Eval epoch: 476
[05.07.21|04:03:52] 	mean_loss: 0.3622926304094219. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:03:52] Done.
[05.07.21|04:03:52] Training epoch: 477
[05.07.21|04:05:27] 	mean_loss: 0.3338147858948342. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:05:27] Time consumption:
[05.07.21|04:05:27] Done.
[05.07.21|04:05:27] Eval epoch: 477
[05.07.21|04:05:28] 	mean_loss: 0.3823525150631308. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:05:28] Done.
[05.07.21|04:05:28] Training epoch: 478
[05.07.21|04:05:35] 	Iter 39200 Done. | loss: 2.0779 | lr: 0.000620 | tf: 0.101192
[05.07.21|04:07:05] 	mean_loss: 0.3298757075751724. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:07:05] Time consumption:
[05.07.21|04:07:05] Done.
[05.07.21|04:07:05] Eval epoch: 478
[05.07.21|04:07:06] 	mean_loss: 0.32882007965543997. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:07:06] Done.
[05.07.21|04:07:06] Training epoch: 479
[05.07.21|04:07:32] 	Iter 39300 Done. | loss: 2.4842 | lr: 0.000619 | tf: 0.100686
[05.07.21|04:08:41] 	mean_loss: 6.3805150756954525. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:08:41] Time consumption:
[05.07.21|04:08:41] Done.
[05.07.21|04:08:41] Eval epoch: 479
[05.07.21|04:08:42] 	mean_loss: 0.3847569628436548. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:08:42] Done.
[05.07.21|04:08:42] Training epoch: 480
[05.07.21|04:09:30] 	Iter 39400 Done. | loss: 5.3828 | lr: 0.000619 | tf: 0.100183
[05.07.21|04:10:16] 	mean_loss: 0.36267478082033233. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:10:16] Time consumption:
[05.07.21|04:10:16] Done.
[05.07.21|04:10:16] Eval epoch: 480
[05.07.21|04:10:17] 	mean_loss: 0.38142787001429684. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:10:17] Done.
[05.07.21|04:11:23] Training epoch: 481
[05.07.21|04:12:32] 	Iter 39500 Done. | loss: 3.2867 | lr: 0.000618 | tf: 0.099682
[05.07.21|04:12:59] 	mean_loss: 0.3315012453609689. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:12:59] Time consumption:
[05.07.21|04:12:59] Done.
[05.07.21|04:12:59] Eval epoch: 481
[05.07.21|04:13:00] 	mean_loss: 0.3642744790538033. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:13:00] Done.
[05.07.21|04:13:00] Training epoch: 482
[05.07.21|04:14:29] 	Iter 39600 Done. | loss: 5.4492 | lr: 0.000617 | tf: 0.099184
[05.07.21|04:14:35] 	mean_loss: 0.35220570431946946. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:14:35] Time consumption:
[05.07.21|04:14:35] Done.
[05.07.21|04:14:35] Eval epoch: 482
[05.07.21|04:14:36] 	mean_loss: 0.32616268871690945. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:14:36] Done.
[05.07.21|04:14:36] Training epoch: 483
[05.07.21|04:16:10] 	mean_loss: 0.3470664751606976. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:16:10] Time consumption:
[05.07.21|04:16:10] Done.
[05.07.21|04:16:10] Eval epoch: 483
[05.07.21|04:16:11] 	mean_loss: 0.3852896774149978. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:16:11] Done.
[05.07.21|04:16:11] Training epoch: 484
[05.07.21|04:16:26] 	Iter 39700 Done. | loss: 7.0486 | lr: 0.000616 | tf: 0.098194
[05.07.21|04:17:45] 	mean_loss: 0.3434617701709913. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:17:45] Time consumption:
[05.07.21|04:17:45] Done.
[05.07.21|04:17:45] Eval epoch: 484
[05.07.21|04:17:46] 	mean_loss: 0.32850944738306637. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:17:46] Done.
[05.07.21|04:17:46] Training epoch: 485
[05.07.21|04:18:23] 	Iter 39800 Done. | loss: 2.2062 | lr: 0.000616 | tf: 0.097703
[05.07.21|04:19:21] 	mean_loss: 0.3458921578488938. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:19:21] Time consumption:
[05.07.21|04:19:21] Done.
[05.07.21|04:19:21] Eval epoch: 485
[05.07.21|04:19:22] 	mean_loss: 0.3388753533386302. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:19:22] Done.
[05.07.21|04:19:22] Training epoch: 486
[05.07.21|04:20:18] 	Iter 39900 Done. | loss: 5.5754 | lr: 0.000615 | tf: 0.097215
[05.07.21|04:20:57] 	mean_loss: 0.34355019354150623. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:20:57] Time consumption:
[05.07.21|04:20:57] Done.
[05.07.21|04:20:57] Eval epoch: 486
[05.07.21|04:20:57] 	mean_loss: 0.4106887034445976. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:20:57] Done.
[05.07.21|04:20:57] Training epoch: 487
[05.07.21|04:22:15] 	Iter 40000 Done. | loss: 8.5582 | lr: 0.000614 | tf: 0.096729
[05.07.21|04:22:33] 	mean_loss: 0.33534672525063697. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:22:33] Time consumption:
[05.07.21|04:22:33] Done.
[05.07.21|04:22:33] Eval epoch: 487
[05.07.21|04:22:34] 	mean_loss: 0.3824423071845274. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:22:34] Done.
[05.07.21|04:22:34] Training epoch: 488
[05.07.21|04:24:10] 	mean_loss: 0.3407807389717751. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:24:10] Time consumption:
[05.07.21|04:24:10] Done.
[05.07.21|04:24:10] Eval epoch: 488
[05.07.21|04:24:11] 	mean_loss: 0.3186144763011421. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:24:11] Done.
[05.07.21|04:24:11] Training epoch: 489
[05.07.21|04:24:14] 	Iter 40100 Done. | loss: 3.8147 | lr: 0.000613 | tf: 0.095764
[05.07.21|04:25:47] 	mean_loss: 0.32310861789906703. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:25:47] Time consumption:
[05.07.21|04:25:47] Done.
[05.07.21|04:25:47] Eval epoch: 489
[05.07.21|04:25:48] 	mean_loss: 0.333334548272342. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:25:48] Done.
[05.07.21|04:25:48] Training epoch: 490
[05.07.21|04:26:12] 	Iter 40200 Done. | loss: 7.1551 | lr: 0.000612 | tf: 0.095285
[05.07.21|04:27:22] 	mean_loss: 0.36385968021635356. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:27:22] Time consumption:
[05.07.21|04:27:22] Done.
[05.07.21|04:27:22] Eval epoch: 490
[05.07.21|04:27:23] 	mean_loss: 0.4288681150305478. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:27:23] Done.
[05.07.21|04:28:30] Training epoch: 491
[05.07.21|04:29:16] 	Iter 40300 Done. | loss: 2.4705 | lr: 0.000612 | tf: 0.094809
[05.07.21|04:30:05] 	mean_loss: 0.3449773789060548. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:30:05] Time consumption:
[05.07.21|04:30:05] Done.
[05.07.21|04:30:05] Eval epoch: 491
[05.07.21|04:30:06] 	mean_loss: 0.4286102728299138. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:30:06] Done.
[05.07.21|04:30:06] Training epoch: 492
[05.07.21|04:31:13] 	Iter 40400 Done. | loss: 2.5554 | lr: 0.000611 | tf: 0.094335
[05.07.21|04:31:43] 	mean_loss: 0.32867229016675525. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:31:43] Time consumption:
[05.07.21|04:31:43] Done.
[05.07.21|04:31:43] Eval epoch: 492
[05.07.21|04:31:44] 	mean_loss: 0.37347521485769625. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:31:44] Done.
[05.07.21|04:31:44] Training epoch: 493
[05.07.21|04:33:11] 	Iter 40500 Done. | loss: 7.3992 | lr: 0.000611 | tf: 0.093863
[05.07.21|04:33:20] 	mean_loss: 0.33511291376311797. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:33:20] Time consumption:
[05.07.21|04:33:20] Done.
[05.07.21|04:33:20] Eval epoch: 493
[05.07.21|04:33:20] 	mean_loss: 0.32438546784264377. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:33:20] Done.
[05.07.21|04:33:20] Training epoch: 494
[05.07.21|04:34:56] 	mean_loss: 0.3375229511765297. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:34:56] Time consumption:
[05.07.21|04:34:56] Done.
[05.07.21|04:34:56] Eval epoch: 494
[05.07.21|04:34:57] 	mean_loss: 0.35512975499843025. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:34:57] Done.
[05.07.21|04:34:57] Training epoch: 495
[05.07.21|04:35:10] 	Iter 40600 Done. | loss: 2.1845 | lr: 0.000609 | tf: 0.092927
[05.07.21|04:36:30] 	mean_loss: 0.3577575253386308. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:36:30] Time consumption:
[05.07.21|04:36:30] Done.
[05.07.21|04:36:30] Eval epoch: 495
[05.07.21|04:36:31] 	mean_loss: 0.36392416796984106. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:36:31] Done.
[05.07.21|04:36:31] Training epoch: 496
[05.07.21|04:37:05] 	Iter 40700 Done. | loss: 8.6101 | lr: 0.000609 | tf: 0.092462
[05.07.21|04:38:06] 	mean_loss: 0.33780581100822826. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:38:06] Time consumption:
[05.07.21|04:38:06] Done.
[05.07.21|04:38:06] Eval epoch: 496
[05.07.21|04:38:07] 	mean_loss: 0.3154013876139487. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:38:07] Done.
[05.07.21|04:38:07] Training epoch: 497
[05.07.21|04:39:00] 	Iter 40800 Done. | loss: 6.0416 | lr: 0.000608 | tf: 0.092000
[05.07.21|04:39:40] 	mean_loss: 0.33937959367682574. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:39:40] Time consumption:
[05.07.21|04:39:40] Done.
[05.07.21|04:39:40] Eval epoch: 497
[05.07.21|04:39:41] 	mean_loss: 0.3735737129484913. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:39:41] Done.
[05.07.21|04:39:41] Training epoch: 498
[05.07.21|04:40:55] 	Iter 40900 Done. | loss: 7.2562 | lr: 0.000608 | tf: 0.091540
[05.07.21|04:41:14] 	mean_loss: 0.36685744259462744. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:41:14] Time consumption:
[05.07.21|04:41:14] Done.
[05.07.21|04:41:14] Eval epoch: 498
[05.07.21|04:41:15] 	mean_loss: 0.3475712429183279. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:41:15] Done.
[05.07.21|04:41:15] Training epoch: 499
[05.07.21|04:42:47] 	mean_loss: 0.36186066453481674. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:42:47] Time consumption:
[05.07.21|04:42:47] Done.
[05.07.21|04:42:47] Eval epoch: 499
[05.07.21|04:42:48] 	mean_loss: 0.34514610149072367. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:42:48] Done.
[05.07.21|04:42:48] Training epoch: 500
[05.07.21|04:42:49] 	Iter 41000 Done. | loss: 2.7500 | lr: 0.000606 | tf: 0.090627
[05.07.21|04:44:22] 	mean_loss: 0.3281736077875221. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:44:22] Time consumption:
[05.07.21|04:44:22] Done.
[05.07.21|04:44:22] Eval epoch: 500
[05.07.21|04:44:23] 	mean_loss: 0.34061258866692873. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:44:23] Done.
[05.07.21|04:45:29] Training epoch: 501
[05.07.21|04:45:50] 	Iter 41100 Done. | loss: 6.0535 | lr: 0.000606 | tf: 0.090173
[05.07.21|04:47:02] 	mean_loss: 0.34978327887577. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:47:02] Time consumption:
[05.07.21|04:47:02] Done.
[05.07.21|04:47:02] Eval epoch: 501
[05.07.21|04:47:03] 	mean_loss: 0.3610343653177857. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:47:03] Done.
[05.07.21|04:47:03] Training epoch: 502
[05.07.21|04:47:46] 	Iter 41200 Done. | loss: 5.3183 | lr: 0.000605 | tf: 0.089723
[05.07.21|04:48:41] 	mean_loss: 0.33194652837488614. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:48:41] Time consumption:
[05.07.21|04:48:41] Done.
[05.07.21|04:48:41] Eval epoch: 502
[05.07.21|04:48:42] 	mean_loss: 0.41004147120182033. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:48:42] Done.
[05.07.21|04:48:42] Training epoch: 503
[05.07.21|04:49:46] 	Iter 41300 Done. | loss: 5.2428 | lr: 0.000605 | tf: 0.089274
[05.07.21|04:50:18] 	mean_loss: 0.34070027261060365. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:50:18] Time consumption:
[05.07.21|04:50:18] Done.
[05.07.21|04:50:18] Eval epoch: 503
[05.07.21|04:50:19] 	mean_loss: 0.3550320997477098. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:50:19] Done.
[05.07.21|04:50:19] Training epoch: 504
[05.07.21|04:51:44] 	Iter 41400 Done. | loss: 7.6433 | lr: 0.000604 | tf: 0.088828
[05.07.21|04:51:55] 	mean_loss: 0.34063542859657814. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:51:55] Time consumption:
[05.07.21|04:51:55] Done.
[05.07.21|04:51:55] Eval epoch: 504
[05.07.21|04:51:56] 	mean_loss: 0.36953116391492075. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:51:56] Done.
[05.07.21|04:51:56] Training epoch: 505
[05.07.21|04:53:33] 	mean_loss: 0.33690312520070187. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:53:33] Time consumption:
[05.07.21|04:53:33] Done.
[05.07.21|04:53:33] Eval epoch: 505
[05.07.21|04:53:34] 	mean_loss: 0.354783051721054. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:53:34] Done.
[05.07.21|04:53:34] Training epoch: 506
[05.07.21|04:53:44] 	Iter 41500 Done. | loss: 2.6000 | lr: 0.000603 | tf: 0.087942
[05.07.21|04:55:08] 	mean_loss: 0.34023259581784304. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:55:08] Time consumption:
[05.07.21|04:55:08] Done.
[05.07.21|04:55:08] Eval epoch: 506
[05.07.21|04:55:09] 	mean_loss: 0.34269403989939784. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:55:09] Done.
[05.07.21|04:55:09] Training epoch: 507
[05.07.21|04:55:40] 	Iter 41600 Done. | loss: 6.8585 | lr: 0.000602 | tf: 0.087502
[05.07.21|04:56:43] 	mean_loss: 0.33212597355898454. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:56:43] Time consumption:
[05.07.21|04:56:43] Done.
[05.07.21|04:56:43] Eval epoch: 507
[05.07.21|04:56:44] 	mean_loss: 0.33210910546907285. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:56:44] Done.
[05.07.21|04:56:44] Training epoch: 508
[05.07.21|04:57:37] 	Iter 41700 Done. | loss: 6.9477 | lr: 0.000602 | tf: 0.087064
[05.07.21|04:58:19] 	mean_loss: 0.31776537371614477. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:58:19] Time consumption:
[05.07.21|04:58:19] Done.
[05.07.21|04:58:19] Eval epoch: 508
[05.07.21|04:58:20] 	mean_loss: 0.3342920955823622. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:58:20] Done.
[05.07.21|04:58:20] Training epoch: 509
[05.07.21|04:59:31] 	Iter 41800 Done. | loss: 3.8357 | lr: 0.000601 | tf: 0.086629
[05.07.21|04:59:53] 	mean_loss: 0.3543802792449323. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:59:53] Time consumption:
[05.07.21|04:59:53] Done.
[05.07.21|04:59:53] Eval epoch: 509
[05.07.21|04:59:54] 	mean_loss: 0.29179765071609987. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|04:59:54] Done.
[05.07.21|04:59:54] Training epoch: 510
[05.07.21|05:01:27] 	Iter 41900 Done. | loss: 5.4745 | lr: 0.000600 | tf: 0.086196
[05.07.21|05:01:28] 	mean_loss: 0.3177350387963381. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:01:28] Time consumption:
[05.07.21|05:01:28] Done.
[05.07.21|05:01:28] Eval epoch: 510
[05.07.21|05:01:29] 	mean_loss: 0.29967623549151196. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:01:29] Done.
[05.07.21|05:02:34] Training epoch: 511
[05.07.21|05:04:09] 	mean_loss: 0.3221441419326749. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:04:09] Time consumption:
[05.07.21|05:04:09] Done.
[05.07.21|05:04:09] Eval epoch: 511
[05.07.21|05:04:10] 	mean_loss: 0.3866025952647297. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:04:10] Done.
[05.07.21|05:04:10] Training epoch: 512
[05.07.21|05:04:29] 	Iter 42000 Done. | loss: 5.6523 | lr: 0.000599 | tf: 0.085336
[05.07.21|05:05:42] 	mean_loss: 0.3502619955918058. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:05:42] Time consumption:
[05.07.21|05:05:42] Done.
[05.07.21|05:05:42] Eval epoch: 512
[05.07.21|05:05:43] 	mean_loss: 0.3930657128671259. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:05:43] Done.
[05.07.21|05:05:43] Training epoch: 513
[05.07.21|05:06:24] 	Iter 42100 Done. | loss: 3.1893 | lr: 0.000599 | tf: 0.084909
[05.07.21|05:07:17] 	mean_loss: 0.3384707021175926. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:07:17] Time consumption:
[05.07.21|05:07:17] Done.
[05.07.21|05:07:17] Eval epoch: 513
[05.07.21|05:07:18] 	mean_loss: 0.3676669176953111. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:07:18] Done.
[05.07.21|05:07:18] Training epoch: 514
[05.07.21|05:08:17] 	Iter 42200 Done. | loss: 5.3635 | lr: 0.000598 | tf: 0.084485
[05.07.21|05:08:51] 	mean_loss: 0.3425499450902836. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:08:51] Time consumption:
[05.07.21|05:08:52] Done.
[05.07.21|05:08:52] Eval epoch: 514
[05.07.21|05:08:52] 	mean_loss: 0.37653229477912414. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:08:52] Done.
[05.07.21|05:08:52] Training epoch: 515
[05.07.21|05:10:15] 	Iter 42300 Done. | loss: 3.8545 | lr: 0.000597 | tf: 0.084062
[05.07.21|05:10:27] 	mean_loss: 0.3246989771706367. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:10:27] Time consumption:
[05.07.21|05:10:27] Done.
[05.07.21|05:10:27] Eval epoch: 515
[05.07.21|05:10:28] 	mean_loss: 0.33115343659364144. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:10:28] Done.
[05.07.21|05:10:28] Training epoch: 516
[05.07.21|05:12:02] 	mean_loss: 0.34640378788541437. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:12:02] Time consumption:
[05.07.21|05:12:02] Done.
[05.07.21|05:12:02] Eval epoch: 516
[05.07.21|05:12:03] 	mean_loss: 0.3512648656600097. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:12:03] Done.
[05.07.21|05:12:03] Training epoch: 517
[05.07.21|05:12:11] 	Iter 42400 Done. | loss: 10.0318 | lr: 0.000596 | tf: 0.083224
[05.07.21|05:13:37] 	mean_loss: 0.3361904313366596. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:13:37] Time consumption:
[05.07.21|05:13:37] Done.
[05.07.21|05:13:37] Eval epoch: 517
[05.07.21|05:13:38] 	mean_loss: 0.38655627628226863. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:13:38] Done.
[05.07.21|05:13:38] Training epoch: 518
[05.07.21|05:14:07] 	Iter 42500 Done. | loss: 10.3652 | lr: 0.000596 | tf: 0.082808
[05.07.21|05:15:10] 	mean_loss: 0.36994661839811127. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:15:10] Time consumption:
[05.07.21|05:15:10] Done.
[05.07.21|05:15:10] Eval epoch: 518
[05.07.21|05:15:11] 	mean_loss: 0.3606126785636289. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:15:11] Done.
[05.07.21|05:15:11] Training epoch: 519
[05.07.21|05:16:00] 	Iter 42600 Done. | loss: 2.5253 | lr: 0.000595 | tf: 0.082394
[05.07.21|05:16:44] 	mean_loss: 0.3525980411565692. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:16:44] Time consumption:
[05.07.21|05:16:44] Done.
[05.07.21|05:16:44] Eval epoch: 519
[05.07.21|05:16:45] 	mean_loss: 0.3507335291540846. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:16:45] Done.
[05.07.21|05:16:45] Training epoch: 520
[05.07.21|05:17:55] 	Iter 42700 Done. | loss: 7.0008 | lr: 0.000594 | tf: 0.081982
[05.07.21|05:18:19] 	mean_loss: 0.3223610531456946. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:18:19] Time consumption:
[05.07.21|05:18:19] Done.
[05.07.21|05:18:19] Eval epoch: 520
[05.07.21|05:18:20] 	mean_loss: 0.3197875391735503. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:18:20] Done.
[05.07.21|05:19:21] Training epoch: 521
[05.07.21|05:20:53] 	Iter 42800 Done. | loss: 2.1172 | lr: 0.000594 | tf: 0.081572
[05.07.21|05:20:57] 	mean_loss: 0.33775973441628. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:20:57] Time consumption:
[05.07.21|05:20:57] Done.
[05.07.21|05:20:57] Eval epoch: 521
[05.07.21|05:20:57] 	mean_loss: 0.41465299640288666. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:20:57] Done.
[05.07.21|05:20:57] Training epoch: 522
[05.07.21|05:22:32] 	mean_loss: 0.3385387538146461. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:22:32] Time consumption:
[05.07.21|05:22:32] Done.
[05.07.21|05:22:32] Eval epoch: 522
[05.07.21|05:22:32] 	mean_loss: 0.3899550069272138. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:22:32] Done.
[05.07.21|05:22:32] Training epoch: 523
[05.07.21|05:22:49] 	Iter 42900 Done. | loss: 5.7458 | lr: 0.000593 | tf: 0.080758
[05.07.21|05:24:06] 	mean_loss: 0.33684123685519535. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:24:06] Time consumption:
[05.07.21|05:24:06] Done.
[05.07.21|05:24:06] Eval epoch: 523
[05.07.21|05:24:07] 	mean_loss: 0.3226654595560907. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:24:07] Done.
[05.07.21|05:24:07] Training epoch: 524
[05.07.21|05:24:45] 	Iter 43000 Done. | loss: 2.1482 | lr: 0.000592 | tf: 0.080354
[05.07.21|05:25:40] 	mean_loss: 0.34389939434088906. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:25:40] Time consumption:
[05.07.21|05:25:40] Done.
[05.07.21|05:25:40] Eval epoch: 524
[05.07.21|05:25:41] 	mean_loss: 0.35911299774094885. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:25:41] Done.
[05.07.21|05:25:41] Training epoch: 525
[05.07.21|05:26:40] 	Iter 43100 Done. | loss: 3.8217 | lr: 0.000591 | tf: 0.079953
[05.07.21|05:27:14] 	mean_loss: 0.35280953163234313. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:27:14] Time consumption:
[05.07.21|05:27:14] Done.
[05.07.21|05:27:14] Eval epoch: 525
[05.07.21|05:27:15] 	mean_loss: 0.35184355336070705. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:27:15] Done.
[05.07.21|05:27:15] Training epoch: 526
[05.07.21|05:28:34] 	Iter 43200 Done. | loss: 6.8852 | lr: 0.000591 | tf: 0.079553
[05.07.21|05:28:48] 	mean_loss: 0.346244433550403. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:28:48] Time consumption:
[05.07.21|05:28:48] Done.
[05.07.21|05:28:48] Eval epoch: 526
[05.07.21|05:28:49] 	mean_loss: 0.4094362038301548. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:28:49] Done.
[05.07.21|05:28:49] Training epoch: 527
[05.07.21|05:30:23] 	mean_loss: 0.3306989826625739. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:30:23] Time consumption:
[05.07.21|05:30:23] Done.
[05.07.21|05:30:23] Eval epoch: 527
[05.07.21|05:30:23] 	mean_loss: 0.37536172874726836. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:30:23] Done.
[05.07.21|05:30:23] Training epoch: 528
[05.07.21|05:30:29] 	Iter 43300 Done. | loss: 8.6650 | lr: 0.000590 | tf: 0.078759
[05.07.21|05:31:57] 	mean_loss: 0.33344618049128677. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:31:57] Time consumption:
[05.07.21|05:31:57] Done.
[05.07.21|05:31:57] Eval epoch: 528
[05.07.21|05:31:58] 	mean_loss: 0.36691992153973596. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:31:58] Done.
[05.07.21|05:31:58] Training epoch: 529
[05.07.21|05:32:25] 	Iter 43400 Done. | loss: 8.5640 | lr: 0.000589 | tf: 0.078366
[05.07.21|05:33:31] 	mean_loss: 0.3411746916980628. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:33:31] Time consumption:
[05.07.21|05:33:31] Done.
[05.07.21|05:33:31] Eval epoch: 529
[05.07.21|05:33:32] 	mean_loss: 0.34885343019291776. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:33:32] Done.
[05.07.21|05:33:32] Training epoch: 530
[05.07.21|05:34:18] 	Iter 43500 Done. | loss: 6.9032 | lr: 0.000588 | tf: 0.077974
[05.07.21|05:35:06] 	mean_loss: 0.3402467630881519. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:35:06] Time consumption:
[05.07.21|05:35:06] Done.
[05.07.21|05:35:06] Eval epoch: 530
[05.07.21|05:35:07] 	mean_loss: 0.32849847315874137. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:35:07] Done.
[05.07.21|05:36:11] Training epoch: 531
[05.07.21|05:37:17] 	Iter 43600 Done. | loss: 3.8219 | lr: 0.000588 | tf: 0.077584
[05.07.21|05:37:44] 	mean_loss: 0.3444038915277976. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:37:44] Time consumption:
[05.07.21|05:37:44] Done.
[05.07.21|05:37:44] Eval epoch: 531
[05.07.21|05:37:45] 	mean_loss: 0.3325037024640996. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:37:45] Done.
[05.07.21|05:37:45] Training epoch: 532
[05.07.21|05:39:13] 	Iter 43700 Done. | loss: 7.0120 | lr: 0.000587 | tf: 0.077196
[05.07.21|05:39:19] 	mean_loss: 0.3311164145212369. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:39:19] Time consumption:
[05.07.21|05:39:19] Done.
[05.07.21|05:39:19] Eval epoch: 532
[05.07.21|05:39:20] 	mean_loss: 0.41917822097384044. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:39:20] Done.
[05.07.21|05:39:20] Training epoch: 533
[05.07.21|05:40:53] 	mean_loss: 0.34196918551805827. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:40:53] Time consumption:
[05.07.21|05:40:54] Done.
[05.07.21|05:40:54] Eval epoch: 533
[05.07.21|05:40:54] 	mean_loss: 0.3373359107215148. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:40:54] Done.
[05.07.21|05:40:54] Training epoch: 534
[05.07.21|05:41:09] 	Iter 43800 Done. | loss: 8.5230 | lr: 0.000586 | tf: 0.076426
[05.07.21|05:42:29] 	mean_loss: 0.3345736654707513. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:42:29] Time consumption:
[05.07.21|05:42:29] Done.
[05.07.21|05:42:29] Eval epoch: 534
[05.07.21|05:42:30] 	mean_loss: 0.4065988825032796. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:42:30] Done.
[05.07.21|05:42:30] Training epoch: 535
[05.07.21|05:43:05] 	Iter 43900 Done. | loss: 6.1162 | lr: 0.000586 | tf: 0.076044
[05.07.21|05:44:03] 	mean_loss: 0.33449381620189733. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:44:03] Time consumption:
[05.07.21|05:44:03] Done.
[05.07.21|05:44:03] Eval epoch: 535
[05.07.21|05:44:04] 	mean_loss: 0.3823345123799332. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:44:04] Done.
[05.07.21|05:44:04] Training epoch: 536
[05.07.21|05:45:00] 	Iter 44000 Done. | loss: 2.6788 | lr: 0.000585 | tf: 0.075664
[05.07.21|05:45:37] 	mean_loss: 0.3410219353403924. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:45:37] Time consumption:
[05.07.21|05:45:37] Done.
[05.07.21|05:45:37] Eval epoch: 536
[05.07.21|05:45:38] 	mean_loss: 0.3463947036239745. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:45:38] Done.
[05.07.21|05:45:38] Training epoch: 537
[05.07.21|05:46:55] 	Iter 44100 Done. | loss: 8.6423 | lr: 0.000584 | tf: 0.075285
[05.07.21|05:47:12] 	mean_loss: 0.3567861450424482. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:47:12] Time consumption:
[05.07.21|05:47:12] Done.
[05.07.21|05:47:12] Eval epoch: 537
[05.07.21|05:47:13] 	mean_loss: 0.3810539843084097. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:47:13] Done.
[05.07.21|05:47:13] Training epoch: 538
[05.07.21|05:48:46] 	mean_loss: 0.34783873120489217. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:48:46] Time consumption:
[05.07.21|05:48:46] Done.
[05.07.21|05:48:46] Eval epoch: 538
[05.07.21|05:48:47] 	mean_loss: 0.36861764261378394. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:48:47] Done.
[05.07.21|05:48:47] Training epoch: 539
[05.07.21|05:48:51] 	Iter 44200 Done. | loss: 5.4534 | lr: 0.000583 | tf: 0.074534
[05.07.21|05:50:21] 	mean_loss: 0.34604742712996056. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:50:21] Time consumption:
[05.07.21|05:50:21] Done.
[05.07.21|05:50:21] Eval epoch: 539
[05.07.21|05:50:22] 	mean_loss: 0.3662886781643803. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:50:22] Done.
[05.07.21|05:50:22] Training epoch: 540
[05.07.21|05:50:46] 	Iter 44300 Done. | loss: 8.5564 | lr: 0.000583 | tf: 0.074162
[05.07.21|05:51:56] 	mean_loss: 0.33591079503752486. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:51:56] Time consumption:
[05.07.21|05:51:56] Done.
[05.07.21|05:51:56] Eval epoch: 540
[05.07.21|05:51:57] 	mean_loss: 0.3486746365001142. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:51:57] Done.
[05.07.21|05:53:01] Training epoch: 541
[05.07.21|05:53:46] 	Iter 44400 Done. | loss: 5.5357 | lr: 0.000582 | tf: 0.073791
[05.07.21|05:54:36] 	mean_loss: 0.32403501401120466. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:54:36] Time consumption:
[05.07.21|05:54:36] Done.
[05.07.21|05:54:36] Eval epoch: 541
[05.07.21|05:54:37] 	mean_loss: 0.3894550081322016. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:54:37] Done.
[05.07.21|05:54:37] Training epoch: 542
[05.07.21|05:55:41] 	Iter 44500 Done. | loss: 1.4413 | lr: 0.000581 | tf: 0.073422
[05.07.21|05:56:10] 	mean_loss: 0.34377662176680607. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:56:10] Time consumption:
[05.07.21|05:56:10] Done.
[05.07.21|05:56:10] Eval epoch: 542
[05.07.21|05:56:11] 	mean_loss: 0.37211929274692684. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:56:11] Done.
[05.07.21|05:56:11] Training epoch: 543
[05.07.21|05:57:34] 	Iter 44600 Done. | loss: 2.9243 | lr: 0.000581 | tf: 0.073055
[05.07.21|05:57:43] 	mean_loss: 0.37095805381686625. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:57:43] Time consumption:
[05.07.21|05:57:43] Done.
[05.07.21|05:57:43] Eval epoch: 543
[05.07.21|05:57:44] 	mean_loss: 0.40967914200148786. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:57:44] Done.
[05.07.21|05:57:44] Training epoch: 544
[05.07.21|05:59:18] 	mean_loss: 0.33965326381523714. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:59:18] Time consumption:
[05.07.21|05:59:18] Done.
[05.07.21|05:59:18] Eval epoch: 544
[05.07.21|05:59:19] 	mean_loss: 0.34204013614679407. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|05:59:19] Done.
[05.07.21|05:59:19] Training epoch: 545
[05.07.21|05:59:31] 	Iter 44700 Done. | loss: 7.1837 | lr: 0.000580 | tf: 0.072326
[05.07.21|06:00:53] 	mean_loss: 0.33022496825265096. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:00:53] Time consumption:
[05.07.21|06:00:53] Done.
[05.07.21|06:00:53] Eval epoch: 545
[05.07.21|06:00:54] 	mean_loss: 0.4109425905556005. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:00:54] Done.
[05.07.21|06:00:54] Training epoch: 546
[05.07.21|06:01:27] 	Iter 44800 Done. | loss: 6.4562 | lr: 0.000579 | tf: 0.071964
[05.07.21|06:02:29] 	mean_loss: 0.3259317633138667. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:02:29] Time consumption:
[05.07.21|06:02:29] Done.
[05.07.21|06:02:29] Eval epoch: 546
[05.07.21|06:02:30] 	mean_loss: 0.36361531788017615. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:02:30] Done.
[05.07.21|06:02:30] Training epoch: 547
[05.07.21|06:03:24] 	Iter 44900 Done. | loss: 2.1529 | lr: 0.000579 | tf: 0.071605
[05.07.21|06:04:04] 	mean_loss: 0.3283319893306802. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:04:04] Time consumption:
[05.07.21|06:04:04] Done.
[05.07.21|06:04:04] Eval epoch: 547
[05.07.21|06:04:05] 	mean_loss: 0.35011118437568284. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:04:05] Done.
[05.07.21|06:04:05] Training epoch: 548
[05.07.21|06:05:19] 	Iter 45000 Done. | loss: 7.4364 | lr: 0.000578 | tf: 0.071247
[05.07.21|06:05:38] 	mean_loss: 0.33578896836629557. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:05:38] Time consumption:
[05.07.21|06:05:38] Done.
[05.07.21|06:05:38] Eval epoch: 548
[05.07.21|06:05:39] 	mean_loss: 0.3305244649284753. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:05:39] Done.
[05.07.21|06:05:39] Training epoch: 549
[05.07.21|06:07:13] 	mean_loss: 0.3407653907798077. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:07:13] Time consumption:
[05.07.21|06:07:13] Done.
[05.07.21|06:07:13] Eval epoch: 549
[05.07.21|06:07:13] 	mean_loss: 0.3530684022933043. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:07:13] Done.
[05.07.21|06:07:13] Training epoch: 550
[05.07.21|06:07:15] 	Iter 45100 Done. | loss: 4.2171 | lr: 0.000577 | tf: 0.070536
[05.07.21|06:08:49] 	mean_loss: 0.31552477263592854. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:08:49] Time consumption:
[05.07.21|06:08:49] Done.
[05.07.21|06:08:49] Eval epoch: 550
[05.07.21|06:08:50] 	mean_loss: 0.4132569580531732. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:08:50] Done.
[05.07.21|06:09:51] Training epoch: 551
[05.07.21|06:10:12] 	Iter 45200 Done. | loss: 8.5935 | lr: 0.000576 | tf: 0.070183
[05.07.21|06:11:22] 	mean_loss: 0.3699111129142279. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:11:22] Time consumption:
[05.07.21|06:11:22] Done.
[05.07.21|06:11:22] Eval epoch: 551
[05.07.21|06:11:23] 	mean_loss: 0.3275707817235254. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:11:23] Done.
[05.07.21|06:11:23] Training epoch: 552
[05.07.21|06:12:06] 	Iter 45300 Done. | loss: 5.5453 | lr: 0.000576 | tf: 0.069832
[05.07.21|06:12:57] 	mean_loss: 0.32927791069292106. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:12:57] Time consumption:
[05.07.21|06:12:57] Done.
[05.07.21|06:12:57] Eval epoch: 552
[05.07.21|06:12:58] 	mean_loss: 0.3902664335729865. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:12:58] Done.
[05.07.21|06:12:58] Training epoch: 553
[05.07.21|06:14:01] 	Iter 45400 Done. | loss: 3.8828 | lr: 0.000575 | tf: 0.069483
[05.07.21|06:14:32] 	mean_loss: 0.3434790140349562. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:14:32] Time consumption:
[05.07.21|06:14:32] Done.
[05.07.21|06:14:32] Eval epoch: 553
[05.07.21|06:14:33] 	mean_loss: 0.3388563690129977. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:14:33] Done.
[05.07.21|06:14:33] Training epoch: 554
[05.07.21|06:15:57] 	Iter 45500 Done. | loss: 2.3723 | lr: 0.000574 | tf: 0.069136
[05.07.21|06:16:07] 	mean_loss: 0.3425811845276767. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:16:07] Time consumption:
[05.07.21|06:16:07] Done.
[05.07.21|06:16:07] Eval epoch: 554
[05.07.21|06:16:08] 	mean_loss: 0.32620283718205556. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:16:08] Done.
[05.07.21|06:16:08] Training epoch: 555
[05.07.21|06:17:40] 	mean_loss: 0.3722523024832783. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:17:40] Time consumption:
[05.07.21|06:17:40] Done.
[05.07.21|06:17:40] Eval epoch: 555
[05.07.21|06:17:41] 	mean_loss: 0.3893571092940767. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:17:41] Done.
[05.07.21|06:17:41] Training epoch: 556
[05.07.21|06:17:50] 	Iter 45600 Done. | loss: 5.1013 | lr: 0.000573 | tf: 0.068446
[05.07.21|06:19:14] 	mean_loss: 0.349590076592. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:19:14] Time consumption:
[05.07.21|06:19:14] Done.
[05.07.21|06:19:14] Eval epoch: 556
[05.07.21|06:19:15] 	mean_loss: 0.3166486080530123. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:19:15] Done.
[05.07.21|06:19:15] Training epoch: 557
[05.07.21|06:19:46] 	Iter 45700 Done. | loss: 6.7889 | lr: 0.000573 | tf: 0.068104
[05.07.21|06:20:50] 	mean_loss: 0.3158085369076064. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:20:50] Time consumption:
[05.07.21|06:20:50] Done.
[05.07.21|06:20:50] Eval epoch: 557
[05.07.21|06:20:51] 	mean_loss: 0.2952413641968534. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:20:51] Done.
[05.07.21|06:20:51] Training epoch: 558
[05.07.21|06:21:42] 	Iter 45800 Done. | loss: 2.4355 | lr: 0.000572 | tf: 0.067763
[05.07.21|06:22:24] 	mean_loss: 0.34146646092539235. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:22:24] Time consumption:
[05.07.21|06:22:24] Done.
[05.07.21|06:22:24] Eval epoch: 558
[05.07.21|06:22:25] 	mean_loss: 0.3156194748538728. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:22:25] Done.
[05.07.21|06:22:25] Training epoch: 559
[05.07.21|06:23:37] 	Iter 45900 Done. | loss: 5.4373 | lr: 0.000572 | tf: 0.067424
[05.07.21|06:24:00] 	mean_loss: 0.3189927635258056. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:24:00] Time consumption:
[05.07.21|06:24:00] Done.
[05.07.21|06:24:00] Eval epoch: 559
[05.07.21|06:24:01] 	mean_loss: 0.38875419930910127. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:24:01] Done.
[05.07.21|06:24:01] Training epoch: 560
[05.07.21|06:25:32] 	Iter 46000 Done. | loss: 2.6753 | lr: 0.000571 | tf: 0.067087
[05.07.21|06:25:33] 	mean_loss: 0.35331127508200494. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:25:33] Time consumption:
[05.07.21|06:25:33] Done.
[05.07.21|06:25:33] Eval epoch: 560
[05.07.21|06:25:34] 	mean_loss: 0.3641889184647732. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:25:34] Done.
[05.07.21|06:26:39] Training epoch: 561
[05.07.21|06:28:13] 	mean_loss: 0.33835024865415353. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:28:13] Time consumption:
[05.07.21|06:28:13] Done.
[05.07.21|06:28:13] Eval epoch: 561
[05.07.21|06:28:14] 	mean_loss: 0.3369937343800471. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:28:14] Done.
[05.07.21|06:28:14] Training epoch: 562
[05.07.21|06:28:33] 	Iter 46100 Done. | loss: 6.8268 | lr: 0.000570 | tf: 0.066418
[05.07.21|06:29:47] 	mean_loss: 0.3481276323697482. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:29:47] Time consumption:
[05.07.21|06:29:47] Done.
[05.07.21|06:29:47] Eval epoch: 562
[05.07.21|06:29:48] 	mean_loss: 0.33154990658780353. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:29:48] Done.
[05.07.21|06:29:48] Training epoch: 563
[05.07.21|06:30:29] 	Iter 46200 Done. | loss: 1.2605 | lr: 0.000569 | tf: 0.066086
[05.07.21|06:31:23] 	mean_loss: 0.33457273159435835. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:31:23] Time consumption:
[05.07.21|06:31:23] Done.
[05.07.21|06:31:23] Eval epoch: 563
[05.07.21|06:31:24] 	mean_loss: 0.38435760196103125. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:31:24] Done.
[05.07.21|06:31:24] Training epoch: 564
[05.07.21|06:32:23] 	Iter 46300 Done. | loss: 5.5204 | lr: 0.000569 | tf: 0.065756
[05.07.21|06:32:56] 	mean_loss: 0.3718274241579643. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:32:56] Time consumption:
[05.07.21|06:32:56] Done.
[05.07.21|06:32:56] Eval epoch: 564
[05.07.21|06:32:57] 	mean_loss: 0.3640473568155938. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:32:57] Done.
[05.07.21|06:32:57] Training epoch: 565
[05.07.21|06:34:19] 	Iter 46400 Done. | loss: 8.5295 | lr: 0.000568 | tf: 0.065427
[05.07.21|06:34:32] 	mean_loss: 0.33355237373134816. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:34:32] Time consumption:
[05.07.21|06:34:32] Done.
[05.07.21|06:34:32] Eval epoch: 565
[05.07.21|06:34:32] 	mean_loss: 0.3542585931019374. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:34:32] Done.
[05.07.21|06:34:32] Training epoch: 566
[05.07.21|06:36:05] 	mean_loss: 0.34335738432112833. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:36:05] Time consumption:
[05.07.21|06:36:05] Done.
[05.07.21|06:36:05] Eval epoch: 566
[05.07.21|06:36:06] 	mean_loss: 0.3467280750361238. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:36:06] Done.
[05.07.21|06:36:06] Training epoch: 567
[05.07.21|06:36:14] 	Iter 46500 Done. | loss: 1.9591 | lr: 0.000567 | tf: 0.064774
[05.07.21|06:37:40] 	mean_loss: 0.3399472002546279. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:37:40] Time consumption:
[05.07.21|06:37:40] Done.
[05.07.21|06:37:40] Eval epoch: 567
[05.07.21|06:37:40] 	mean_loss: 0.3530641251201503. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:37:40] Done.
[05.07.21|06:37:40] Training epoch: 568
[05.07.21|06:38:09] 	Iter 46600 Done. | loss: 5.4662 | lr: 0.000566 | tf: 0.064450
[05.07.21|06:39:13] 	mean_loss: 0.3607673862694044. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:39:13] Time consumption:
[05.07.21|06:39:13] Done.
[05.07.21|06:39:13] Eval epoch: 568
[05.07.21|06:39:14] 	mean_loss: 0.3429832693287512. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:39:14] Done.
[05.07.21|06:39:14] Training epoch: 569
[05.07.21|06:40:03] 	Iter 46700 Done. | loss: 5.5563 | lr: 0.000566 | tf: 0.064128
[05.07.21|06:40:47] 	mean_loss: 0.34847021481497936. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:40:47] Time consumption:
[05.07.21|06:40:47] Done.
[05.07.21|06:40:47] Eval epoch: 569
[05.07.21|06:40:48] 	mean_loss: 0.3111627290771432. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:40:48] Done.
[05.07.21|06:40:48] Training epoch: 570
[05.07.21|06:41:56] 	Iter 46800 Done. | loss: 7.1472 | lr: 0.000565 | tf: 0.063807
[05.07.21|06:42:20] 	mean_loss: 0.3623786736112047. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:42:20] Time consumption:
[05.07.21|06:42:20] Done.
[05.07.21|06:42:20] Eval epoch: 570
[05.07.21|06:42:21] 	mean_loss: 0.3929064976585417. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:42:21] Done.
[05.07.21|06:43:26] Training epoch: 571
[05.07.21|06:44:57] 	Iter 46900 Done. | loss: 5.7607 | lr: 0.000565 | tf: 0.063488
[05.07.21|06:45:00] 	mean_loss: 0.33706206729484856. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:45:00] Time consumption:
[05.07.21|06:45:00] Done.
[05.07.21|06:45:00] Eval epoch: 571
[05.07.21|06:45:01] 	mean_loss: 0.34846619043282556. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:45:01] Done.
[05.07.21|06:45:01] Training epoch: 572
[05.07.21|06:46:33] 	mean_loss: 0.36500066819752014. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:46:33] Time consumption:
[05.07.21|06:46:33] Done.
[05.07.21|06:46:33] Eval epoch: 572
[05.07.21|06:46:34] 	mean_loss: 0.38158387323863674. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:46:34] Done.
[05.07.21|06:46:34] Training epoch: 573
[05.07.21|06:46:51] 	Iter 47000 Done. | loss: 4.0719 | lr: 0.000564 | tf: 0.062855
[05.07.21|06:48:08] 	mean_loss: 0.32325362740359687. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:48:08] Time consumption:
[05.07.21|06:48:08] Done.
[05.07.21|06:48:08] Eval epoch: 573
[05.07.21|06:48:09] 	mean_loss: 0.4309103346641686. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:48:09] Done.
[05.07.21|06:48:09] Training epoch: 574
[05.07.21|06:48:47] 	Iter 47100 Done. | loss: 6.8765 | lr: 0.000563 | tf: 0.062541
[05.07.21|06:49:42] 	mean_loss: 0.3530947408249216. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:49:42] Time consumption:
[05.07.21|06:49:42] Done.
[05.07.21|06:49:42] Eval epoch: 574
[05.07.21|06:49:43] 	mean_loss: 0.2984722956822063. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:49:43] Done.
[05.07.21|06:49:43] Training epoch: 575
[05.07.21|06:50:39] 	Iter 47200 Done. | loss: 5.2163 | lr: 0.000563 | tf: 0.062228
[05.07.21|06:51:15] 	mean_loss: 0.3604644266296573. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:51:15] Time consumption:
[05.07.21|06:51:15] Done.
[05.07.21|06:51:15] Eval epoch: 575
[05.07.21|06:51:16] 	mean_loss: 0.37866745021844733. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:51:16] Done.
[05.07.21|06:51:16] Training epoch: 576
[05.07.21|06:52:34] 	Iter 47300 Done. | loss: 5.3818 | lr: 0.000562 | tf: 0.061917
[05.07.21|06:52:49] 	mean_loss: 0.35429461974949056. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:52:49] Time consumption:
[05.07.21|06:52:49] Done.
[05.07.21|06:52:49] Eval epoch: 576
[05.07.21|06:52:50] 	mean_loss: 0.36948421167884915. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:52:50] Done.
[05.07.21|06:52:50] Training epoch: 577
[05.07.21|06:54:23] 	mean_loss: 1.7318083540942404. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:54:23] Time consumption:
[05.07.21|06:54:23] Done.
[05.07.21|06:54:23] Eval epoch: 577
[05.07.21|06:54:24] 	mean_loss: 0.34098646211946326. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:54:24] Done.
[05.07.21|06:54:24] Training epoch: 578
[05.07.21|06:54:30] 	Iter 47400 Done. | loss: 5.6785 | lr: 0.000561 | tf: 0.061299
[05.07.21|06:55:58] 	mean_loss: 0.3265004014410165. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:55:58] Time consumption:
[05.07.21|06:55:58] Done.
[05.07.21|06:55:58] Eval epoch: 578
[05.07.21|06:55:59] 	mean_loss: 0.35230476300336416. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:55:59] Done.
[05.07.21|06:55:59] Training epoch: 579
[05.07.21|06:56:26] 	Iter 47500 Done. | loss: 8.5235 | lr: 0.000560 | tf: 0.060993
[05.07.21|06:57:34] 	mean_loss: 0.3147845419860994. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:57:34] Time consumption:
[05.07.21|06:57:35] Done.
[05.07.21|06:57:35] Eval epoch: 579
[05.07.21|06:57:35] 	mean_loss: 0.32950851189139574. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:57:35] Done.
[05.07.21|06:57:35] Training epoch: 580
[05.07.21|06:58:22] 	Iter 47600 Done. | loss: 6.6378 | lr: 0.000560 | tf: 0.060688
[05.07.21|06:59:08] 	mean_loss: 0.34852438511529304. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:59:08] Time consumption:
[05.07.21|06:59:08] Done.
[05.07.21|06:59:08] Eval epoch: 580
[05.07.21|06:59:09] 	mean_loss: 0.3281134130458013. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|06:59:09] Done.
[05.07.21|07:00:12] Training epoch: 581
[05.07.21|07:01:19] 	Iter 47700 Done. | loss: 5.8173 | lr: 0.000559 | tf: 0.060384
[05.07.21|07:01:45] 	mean_loss: 0.35857505821953445. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:01:45] Time consumption:
[05.07.21|07:01:45] Done.
[05.07.21|07:01:45] Eval epoch: 581
[05.07.21|07:01:45] 	mean_loss: 0.34485638684782566. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:01:45] Done.
[05.07.21|07:01:45] Training epoch: 582
[05.07.21|07:03:13] 	Iter 47800 Done. | loss: 6.9190 | lr: 0.000559 | tf: 0.060083
[05.07.21|07:03:19] 	mean_loss: 0.33989678333701073. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:03:19] Time consumption:
[05.07.21|07:03:19] Done.
[05.07.21|07:03:19] Eval epoch: 582
[05.07.21|07:03:19] 	mean_loss: 0.38938453675216256. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:03:19] Done.
[05.07.21|07:03:19] Training epoch: 583
[05.07.21|07:04:54] 	mean_loss: 0.33209994342223115. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:04:54] Time consumption:
[05.07.21|07:04:54] Done.
[05.07.21|07:04:54] Eval epoch: 583
[05.07.21|07:04:54] 	mean_loss: 0.37155849425327586. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:04:54] Done.
[05.07.21|07:04:54] Training epoch: 584
[05.07.21|07:05:09] 	Iter 47900 Done. | loss: 3.6784 | lr: 0.000558 | tf: 0.059483
[05.07.21|07:06:28] 	mean_loss: 0.32784934856672404. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:06:28] Time consumption:
[05.07.21|07:06:28] Done.
[05.07.21|07:06:28] Eval epoch: 584
[05.07.21|07:06:29] 	mean_loss: 0.4270455816068671. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:06:29] Done.
[05.07.21|07:06:29] Training epoch: 585
[05.07.21|07:07:05] 	Iter 48000 Done. | loss: 5.3146 | lr: 0.000557 | tf: 0.059186
[05.07.21|07:08:04] 	mean_loss: 0.32641921669269136. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:08:04] Time consumption:
[05.07.21|07:08:04] Done.
[05.07.21|07:08:04] Eval epoch: 585
[05.07.21|07:08:05] 	mean_loss: 0.3193806498877437. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:08:05] Done.
[05.07.21|07:08:05] Training epoch: 586
[05.07.21|07:08:59] 	Iter 48100 Done. | loss: 8.5812 | lr: 0.000556 | tf: 0.058890
[05.07.21|07:09:37] 	mean_loss: 0.3793911581386315. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:09:37] Time consumption:
[05.07.21|07:09:37] Done.
[05.07.21|07:09:37] Eval epoch: 586
[05.07.21|07:09:38] 	mean_loss: 0.36634496821215917. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:09:38] Done.
[05.07.21|07:09:38] Training epoch: 587
[05.07.21|07:10:57] 	Iter 48200 Done. | loss: 5.7389 | lr: 0.000556 | tf: 0.058595
[05.07.21|07:11:14] 	mean_loss: 0.3127347217328072. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:11:14] Time consumption:
[05.07.21|07:11:14] Done.
[05.07.21|07:11:14] Eval epoch: 587
[05.07.21|07:11:15] 	mean_loss: 0.3335928535561909. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:11:15] Done.
[05.07.21|07:11:15] Training epoch: 588
[05.07.21|07:12:49] 	mean_loss: 0.3349129411247901. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:12:49] Time consumption:
[05.07.21|07:12:49] Done.
[05.07.21|07:12:49] Eval epoch: 588
[05.07.21|07:12:49] 	mean_loss: 0.4288093095395225. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:12:49] Done.
[05.07.21|07:12:49] Training epoch: 589
[05.07.21|07:12:53] 	Iter 48300 Done. | loss: 3.7071 | lr: 0.000555 | tf: 0.058011
[05.07.21|07:14:25] 	mean_loss: 0.31940214774478964. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:14:25] Time consumption:
[05.07.21|07:14:25] Done.
[05.07.21|07:14:25] Eval epoch: 589
[05.07.21|07:14:25] 	mean_loss: 0.34784976657079403. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:14:25] Done.
[05.07.21|07:14:25] Training epoch: 590
[05.07.21|07:14:50] 	Iter 48400 Done. | loss: 3.7770 | lr: 0.000554 | tf: 0.057721
[05.07.21|07:15:58] 	mean_loss: 0.34814471084378806. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:15:58] Time consumption:
[05.07.21|07:15:58] Done.
[05.07.21|07:15:58] Eval epoch: 590
[05.07.21|07:15:59] 	mean_loss: 0.3766770401822084. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:15:59] Done.
[05.07.21|07:17:01] Training epoch: 591
[05.07.21|07:17:44] 	Iter 48500 Done. | loss: 2.7833 | lr: 0.000554 | tf: 0.057432
[05.07.21|07:18:33] 	mean_loss: 0.3666621598100534. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:18:33] Time consumption:
[05.07.21|07:18:33] Done.
[05.07.21|07:18:33] Eval epoch: 591
[05.07.21|07:18:34] 	mean_loss: 0.3694238848057903. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:18:34] Done.
[05.07.21|07:18:34] Training epoch: 592
[05.07.21|07:19:39] 	Iter 48600 Done. | loss: 8.3819 | lr: 0.000553 | tf: 0.057145
[05.07.21|07:20:07] 	mean_loss: 0.3556657913043201. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:20:07] Time consumption:
[05.07.21|07:20:07] Done.
[05.07.21|07:20:07] Eval epoch: 592
[05.07.21|07:20:08] 	mean_loss: 0.32762493841916707. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:20:08] Done.
[05.07.21|07:20:08] Training epoch: 593
[05.07.21|07:21:34] 	Iter 48700 Done. | loss: 2.6599 | lr: 0.000553 | tf: 0.056859
[05.07.21|07:21:42] 	mean_loss: 0.3352404519613025. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:21:42] Time consumption:
[05.07.21|07:21:42] Done.
[05.07.21|07:21:42] Eval epoch: 593
[05.07.21|07:21:43] 	mean_loss: 0.35384452205976447. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:21:43] Done.
[05.07.21|07:21:43] Training epoch: 594
[05.07.21|07:23:15] 	mean_loss: 0.35372221280417276. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:23:15] Time consumption:
[05.07.21|07:23:15] Done.
[05.07.21|07:23:15] Eval epoch: 594
[05.07.21|07:23:16] 	mean_loss: 0.36524958534048413. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:23:16] Done.
[05.07.21|07:23:16] Training epoch: 595
[05.07.21|07:23:28] 	Iter 48800 Done. | loss: 6.7812 | lr: 0.000551 | tf: 0.056292
[05.07.21|07:24:49] 	mean_loss: 0.3463958723692572. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:24:49] Time consumption:
[05.07.21|07:24:49] Done.
[05.07.21|07:24:49] Eval epoch: 595
[05.07.21|07:24:50] 	mean_loss: 0.36019334806956105. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:24:50] Done.
[05.07.21|07:24:50] Training epoch: 596
[05.07.21|07:25:23] 	Iter 48900 Done. | loss: 2.0354 | lr: 0.000551 | tf: 0.056011
[05.07.21|07:26:23] 	mean_loss: 0.3442835593860384. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:26:23] Time consumption:
[05.07.21|07:26:23] Done.
[05.07.21|07:26:23] Eval epoch: 596
[05.07.21|07:26:24] 	mean_loss: 0.34177697410637603. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:26:24] Done.
[05.07.21|07:26:24] Training epoch: 597
[05.07.21|07:27:16] 	Iter 49000 Done. | loss: 5.5289 | lr: 0.000550 | tf: 0.055731
[05.07.21|07:27:56] 	mean_loss: 0.3595727525850403. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:27:56] Time consumption:
[05.07.21|07:27:56] Done.
[05.07.21|07:27:56] Eval epoch: 597
[05.07.21|07:27:57] 	mean_loss: 0.3432341192052255. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:27:57] Done.
[05.07.21|07:27:57] Training epoch: 598
[05.07.21|07:29:12] 	Iter 49100 Done. | loss: 5.1773 | lr: 0.000550 | tf: 0.055452
[05.07.21|07:29:31] 	mean_loss: 0.33001723951032647. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:29:31] Time consumption:
[05.07.21|07:29:31] Done.
[05.07.21|07:29:31] Eval epoch: 598
[05.07.21|07:29:32] 	mean_loss: 0.38638286482233736. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:29:32] Done.
[05.07.21|07:29:32] Training epoch: 599
[05.07.21|07:31:04] 	mean_loss: 0.36570383023536424. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:31:04] Time consumption:
[05.07.21|07:31:04] Done.
[05.07.21|07:31:04] Eval epoch: 599
[05.07.21|07:31:05] 	mean_loss: 0.3715453330240156. Best so far: 0.2739738822716272 (epoch: 166).
[05.07.21|07:31:05] Done.