diff --git "a/training.log" "b/training.log"
--- "a/training.log"
+++ "b/training.log"
@@ -1,2298 +1,2195 @@
-2018-12-16 10:49:35,261 ----------------------------------------------------------------------------------------------------
-2018-12-16 10:49:35,261 Evaluation method: MICRO_F1_SCORE
-2018-12-16 10:49:35,272 ----------------------------------------------------------------------------------------------------
-2018-12-16 10:49:35,724 epoch 1 - iter 0/6098 - loss 3.04587722
-2018-12-16 10:51:42,525 epoch 1 - iter 609/6098 - loss 1.26952595
-2018-12-16 10:53:48,209 epoch 1 - iter 1218/6098 - loss 1.06294984
-2018-12-16 10:55:54,809 epoch 1 - iter 1827/6098 - loss 0.96047006
-2018-12-16 10:58:00,890 epoch 1 - iter 2436/6098 - loss 0.89764026
-2018-12-16 11:00:07,484 epoch 1 - iter 3045/6098 - loss 0.85078232
-2018-12-16 11:02:14,304 epoch 1 - iter 3654/6098 - loss 0.81547860
-2018-12-16 11:04:20,228 epoch 1 - iter 4263/6098 - loss 0.78622810
-2018-12-16 11:06:26,882 epoch 1 - iter 4872/6098 - loss 0.76095763
-2018-12-16 11:08:32,657 epoch 1 - iter 5481/6098 - loss 0.74015775
-2018-12-16 11:10:40,312 epoch 1 - iter 6090/6098 - loss 0.72117779
-2018-12-16 11:10:41,670 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:10:41,671 EPOCH 1 done: loss 0.7210 - lr 0.1000 - bad epochs 0
-2018-12-16 11:12:55,762 TEST : loss 0.46650365 - f-score 0.8481 - acc 0.8481
-2018-12-16 11:12:55,764 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:12:56,188 epoch 2 - iter 0/6098 - loss 0.71504533
-2018-12-16 11:15:02,832 epoch 2 - iter 609/6098 - loss 0.53554309
-2018-12-16 11:17:12,257 epoch 2 - iter 1218/6098 - loss 0.53127290
-2018-12-16 11:19:18,491 epoch 2 - iter 1827/6098 - loss 0.52732772
-2018-12-16 11:21:24,851 epoch 2 - iter 2436/6098 - loss 0.52231133
-2018-12-16 11:23:32,165 epoch 2 - iter 3045/6098 - loss 0.51862876
-2018-12-16 11:25:40,925 epoch 2 - iter 3654/6098 - loss 0.51446990
-2018-12-16 11:27:47,294 epoch 2 - iter 4263/6098 - loss 0.51023228
-2018-12-16 11:29:53,126 epoch 2 - iter 4872/6098 - loss 0.50593493
-2018-12-16 11:32:00,594 epoch 2 - iter 5481/6098 - loss 0.50154347
-2018-12-16 11:34:07,313 epoch 2 - iter 6090/6098 - loss 0.49786497
-2018-12-16 11:34:08,918 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:34:08,919 EPOCH 2 done: loss 0.4978 - lr 0.1000 - bad epochs 0
-2018-12-16 11:36:23,667 TEST : loss 0.37986210 - f-score 0.8780 - acc 0.8780
-2018-12-16 11:36:23,668 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:36:24,136 epoch 3 - iter 0/6098 - loss 0.31257319
-2018-12-16 11:38:29,530 epoch 3 - iter 609/6098 - loss 0.45611539
-2018-12-16 11:40:37,581 epoch 3 - iter 1218/6098 - loss 0.45463489
-2018-12-16 11:42:44,374 epoch 3 - iter 1827/6098 - loss 0.45219736
-2018-12-16 11:44:51,726 epoch 3 - iter 2436/6098 - loss 0.44831901
-2018-12-16 11:46:59,180 epoch 3 - iter 3045/6098 - loss 0.44480015
-2018-12-16 11:49:05,236 epoch 3 - iter 3654/6098 - loss 0.44246277
-2018-12-16 11:51:12,191 epoch 3 - iter 4263/6098 - loss 0.44049691
-2018-12-16 11:53:20,240 epoch 3 - iter 4872/6098 - loss 0.43907451
-2018-12-16 11:55:26,912 epoch 3 - iter 5481/6098 - loss 0.43663799
-2018-12-16 11:57:37,654 epoch 3 - iter 6090/6098 - loss 0.43430348
-2018-12-16 11:57:39,625 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:57:39,626 EPOCH 3 done: loss 0.4343 - lr 0.1000 - bad epochs 0
-2018-12-16 11:59:52,224 TEST : loss 0.32641137 - f-score 0.8967 - acc 0.8967
-2018-12-16 11:59:52,225 ----------------------------------------------------------------------------------------------------
-2018-12-16 11:59:52,632 epoch 4 - iter 0/6098 - loss 0.40576723
-2018-12-16 12:02:00,011 epoch 4 - iter 609/6098 - loss 0.40634847
-2018-12-16 12:04:05,307 epoch 4 - iter 1218/6098 - loss 0.40739964
-2018-12-16 12:06:11,382 epoch 4 - iter 1827/6098 - loss 0.40734556
-2018-12-16 12:08:19,281 epoch 4 - iter 2436/6098 - loss 0.40744034
-2018-12-16 12:10:25,873 epoch 4 - iter 3045/6098 - loss 0.40626303
-2018-12-16 12:12:32,884 epoch 4 - iter 3654/6098 - loss 0.40460744
-2018-12-16 12:14:40,817 epoch 4 - iter 4263/6098 - loss 0.40295351
-2018-12-16 12:16:48,846 epoch 4 - iter 4872/6098 - loss 0.40135980
-2018-12-16 12:18:56,655 epoch 4 - iter 5481/6098 - loss 0.40005063
-2018-12-16 12:21:02,968 epoch 4 - iter 6090/6098 - loss 0.39914821
-2018-12-16 12:21:04,453 ----------------------------------------------------------------------------------------------------
-2018-12-16 12:21:04,453 EPOCH 4 done: loss 0.3991 - lr 0.1000 - bad epochs 0
-2018-12-16 12:23:17,963 TEST : loss 0.30165505 - f-score 0.9040 - acc 0.9040
-2018-12-16 12:23:17,965 ----------------------------------------------------------------------------------------------------
-2018-12-16 12:23:18,438 epoch 5 - iter 0/6098 - loss 0.37275884
-2018-12-16 12:25:24,822 epoch 5 - iter 609/6098 - loss 0.38346904
-2018-12-16 12:27:30,797 epoch 5 - iter 1218/6098 - loss 0.38285143
-2018-12-16 12:29:40,432 epoch 5 - iter 1827/6098 - loss 0.38172991
-2018-12-16 12:31:47,220 epoch 5 - iter 2436/6098 - loss 0.38165761
-2018-12-16 12:33:55,119 epoch 5 - iter 3045/6098 - loss 0.38008727
-2018-12-16 12:36:01,280 epoch 5 - iter 3654/6098 - loss 0.37907751
-2018-12-16 12:38:07,933 epoch 5 - iter 4263/6098 - loss 0.37795304
-2018-12-16 12:40:14,295 epoch 5 - iter 4872/6098 - loss 0.37697791
-2018-12-16 12:42:22,015 epoch 5 - iter 5481/6098 - loss 0.37555268
-2018-12-16 12:44:29,119 epoch 5 - iter 6090/6098 - loss 0.37425031
-2018-12-16 12:44:30,550 ----------------------------------------------------------------------------------------------------
-2018-12-16 12:44:30,551 EPOCH 5 done: loss 0.3742 - lr 0.1000 - bad epochs 0
-2018-12-16 12:46:45,728 TEST : loss 0.28551289 - f-score 0.9095 - acc 0.9095
-2018-12-16 12:46:45,729 ----------------------------------------------------------------------------------------------------
-2018-12-16 12:46:46,079 epoch 6 - iter 0/6098 - loss 0.38374200
-2018-12-16 12:48:51,252 epoch 6 - iter 609/6098 - loss 0.35961398
-2018-12-16 12:51:01,138 epoch 6 - iter 1218/6098 - loss 0.36255010
-2018-12-16 12:53:07,127 epoch 6 - iter 1827/6098 - loss 0.35890819
-2018-12-16 12:55:13,956 epoch 6 - iter 2436/6098 - loss 0.35770153
-2018-12-16 12:57:19,111 epoch 6 - iter 3045/6098 - loss 0.35679638
-2018-12-16 12:59:25,901 epoch 6 - iter 3654/6098 - loss 0.35685602
-2018-12-16 13:01:34,426 epoch 6 - iter 4263/6098 - loss 0.35607920
-2018-12-16 13:03:38,899 epoch 6 - iter 4872/6098 - loss 0.35534390
-2018-12-16 13:05:47,260 epoch 6 - iter 5481/6098 - loss 0.35428219
-2018-12-16 13:07:52,867 epoch 6 - iter 6090/6098 - loss 0.35337831
-2018-12-16 13:07:54,300 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:07:54,301 EPOCH 6 done: loss 0.3534 - lr 0.1000 - bad epochs 0
-2018-12-16 13:10:21,694 TEST : loss 0.26565075 - f-score 0.9169 - acc 0.9169
-2018-12-16 13:10:21,695 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:10:22,091 epoch 7 - iter 0/6098 - loss 0.19273189
-2018-12-16 13:12:30,657 epoch 7 - iter 609/6098 - loss 0.34653351
-2018-12-16 13:14:38,072 epoch 7 - iter 1218/6098 - loss 0.34458171
-2018-12-16 13:16:44,107 epoch 7 - iter 1827/6098 - loss 0.34283050
-2018-12-16 13:18:51,056 epoch 7 - iter 2436/6098 - loss 0.34130645
-2018-12-16 13:20:57,284 epoch 7 - iter 3045/6098 - loss 0.34137538
-2018-12-16 13:23:04,936 epoch 7 - iter 3654/6098 - loss 0.34232703
-2018-12-16 13:25:12,159 epoch 7 - iter 4263/6098 - loss 0.34112780
-2018-12-16 13:27:17,968 epoch 7 - iter 4872/6098 - loss 0.34101198
-2018-12-16 13:29:24,502 epoch 7 - iter 5481/6098 - loss 0.34022758
-2018-12-16 13:31:34,836 epoch 7 - iter 6090/6098 - loss 0.33978550
-2018-12-16 13:31:36,192 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:31:36,192 EPOCH 7 done: loss 0.3398 - lr 0.1000 - bad epochs 0
-2018-12-16 13:33:49,915 TEST : loss 0.25756997 - f-score 0.9202 - acc 0.9202
-2018-12-16 13:33:49,916 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:33:50,298 epoch 8 - iter 0/6098 - loss 0.30487698
-2018-12-16 13:35:58,821 epoch 8 - iter 609/6098 - loss 0.33539924
-2018-12-16 13:38:08,138 epoch 8 - iter 1218/6098 - loss 0.33077388
-2018-12-16 13:40:14,348 epoch 8 - iter 1827/6098 - loss 0.32895244
-2018-12-16 13:42:19,993 epoch 8 - iter 2436/6098 - loss 0.32859733
-2018-12-16 13:44:28,785 epoch 8 - iter 3045/6098 - loss 0.32921172
-2018-12-16 13:46:34,499 epoch 8 - iter 3654/6098 - loss 0.32899514
-2018-12-16 13:48:42,182 epoch 8 - iter 4263/6098 - loss 0.32743603
-2018-12-16 13:50:48,874 epoch 8 - iter 4872/6098 - loss 0.32707885
-2018-12-16 13:52:57,737 epoch 8 - iter 5481/6098 - loss 0.32645554
-2018-12-16 13:55:05,892 epoch 8 - iter 6090/6098 - loss 0.32579710
-2018-12-16 13:55:07,287 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:55:07,287 EPOCH 8 done: loss 0.3258 - lr 0.1000 - bad epochs 0
-2018-12-16 13:57:21,143 TEST : loss 0.24731696 - f-score 0.9232 - acc 0.9232
-2018-12-16 13:57:21,145 ----------------------------------------------------------------------------------------------------
-2018-12-16 13:57:21,499 epoch 9 - iter 0/6098 - loss 0.29538059
-2018-12-16 13:59:28,068 epoch 9 - iter 609/6098 - loss 0.31663764
-2018-12-16 14:01:35,830 epoch 9 - iter 1218/6098 - loss 0.31401070
-2018-12-16 14:03:42,699 epoch 9 - iter 1827/6098 - loss 0.31714811
-2018-12-16 14:05:49,099 epoch 9 - iter 2436/6098 - loss 0.31659398
-2018-12-16 14:07:54,809 epoch 9 - iter 3045/6098 - loss 0.31713346
-2018-12-16 14:10:00,280 epoch 9 - iter 3654/6098 - loss 0.31660228
-2018-12-16 14:12:05,898 epoch 9 - iter 4263/6098 - loss 0.31654200
-2018-12-16 14:14:13,980 epoch 9 - iter 4872/6098 - loss 0.31640900
-2018-12-16 14:16:19,503 epoch 9 - iter 5481/6098 - loss 0.31602950
-2018-12-16 14:18:29,399 epoch 9 - iter 6090/6098 - loss 0.31596675
-2018-12-16 14:18:31,123 ----------------------------------------------------------------------------------------------------
-2018-12-16 14:18:31,123 EPOCH 9 done: loss 0.3160 - lr 0.1000 - bad epochs 0
-2018-12-16 14:20:44,537 TEST : loss 0.23617336 - f-score 0.9276 - acc 0.9276
-2018-12-16 14:20:44,539 ----------------------------------------------------------------------------------------------------
-2018-12-16 14:20:44,893 epoch 10 - iter 0/6098 - loss 0.28140643
-2018-12-16 14:22:52,754 epoch 10 - iter 609/6098 - loss 0.30740275
-2018-12-16 14:25:00,773 epoch 10 - iter 1218/6098 - loss 0.30888744
-2018-12-16 14:27:05,632 epoch 10 - iter 1827/6098 - loss 0.30790835
-2018-12-16 14:29:10,855 epoch 10 - iter 2436/6098 - loss 0.30663872
-2018-12-16 14:31:18,679 epoch 10 - iter 3045/6098 - loss 0.30707866
-2018-12-16 14:33:25,787 epoch 10 - iter 3654/6098 - loss 0.30690781
-2018-12-16 14:35:32,327 epoch 10 - iter 4263/6098 - loss 0.30705562
-2018-12-16 14:37:40,304 epoch 10 - iter 4872/6098 - loss 0.30821172
-2018-12-16 14:39:46,632 epoch 10 - iter 5481/6098 - loss 0.30816676
-2018-12-16 14:41:56,162 epoch 10 - iter 6090/6098 - loss 0.30772313
-2018-12-16 14:41:57,594 ----------------------------------------------------------------------------------------------------
-2018-12-16 14:41:57,595 EPOCH 10 done: loss 0.3077 - lr 0.1000 - bad epochs 0
-2018-12-16 14:44:11,118 TEST : loss 0.22675119 - f-score 0.9303 - acc 0.9303
-2018-12-16 14:44:11,119 ----------------------------------------------------------------------------------------------------
-2018-12-16 14:44:11,766 epoch 11 - iter 0/6098 - loss 0.26509976
-2018-12-16 14:46:19,756 epoch 11 - iter 609/6098 - loss 0.29496974
-2018-12-16 14:48:27,561 epoch 11 - iter 1218/6098 - loss 0.29654144
-2018-12-16 14:50:33,366 epoch 11 - iter 1827/6098 - loss 0.29844877
-2018-12-16 14:52:38,593 epoch 11 - iter 2436/6098 - loss 0.29892817
-2018-12-16 14:54:46,209 epoch 11 - iter 3045/6098 - loss 0.29955195
-2018-12-16 14:56:55,387 epoch 11 - iter 3654/6098 - loss 0.29903712
-2018-12-16 14:59:00,314 epoch 11 - iter 4263/6098 - loss 0.29887028
-2018-12-16 15:01:06,818 epoch 11 - iter 4872/6098 - loss 0.29892796
-2018-12-16 15:03:14,281 epoch 11 - iter 5481/6098 - loss 0.29958984
-2018-12-16 15:05:21,990 epoch 11 - iter 6090/6098 - loss 0.29937348
-2018-12-16 15:05:23,440 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:05:23,441 EPOCH 11 done: loss 0.2994 - lr 0.1000 - bad epochs 0
-2018-12-16 15:07:37,086 TEST : loss 0.21839902 - f-score 0.9330 - acc 0.9330
-2018-12-16 15:07:37,087 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:07:37,537 epoch 12 - iter 0/6098 - loss 0.15581058
-2018-12-16 15:09:43,071 epoch 12 - iter 609/6098 - loss 0.28904951
-2018-12-16 15:11:50,291 epoch 12 - iter 1218/6098 - loss 0.29108148
-2018-12-16 15:13:57,883 epoch 12 - iter 1827/6098 - loss 0.29121417
-2018-12-16 15:16:06,954 epoch 12 - iter 2436/6098 - loss 0.29000757
-2018-12-16 15:18:14,923 epoch 12 - iter 3045/6098 - loss 0.29094814
-2018-12-16 15:20:22,500 epoch 12 - iter 3654/6098 - loss 0.29204103
-2018-12-16 15:22:27,462 epoch 12 - iter 4263/6098 - loss 0.29160268
-2018-12-16 15:24:32,383 epoch 12 - iter 4872/6098 - loss 0.29174303
-2018-12-16 15:26:38,619 epoch 12 - iter 5481/6098 - loss 0.29172631
-2018-12-16 15:28:46,069 epoch 12 - iter 6090/6098 - loss 0.29212044
-2018-12-16 15:28:47,306 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:28:47,306 EPOCH 12 done: loss 0.2921 - lr 0.1000 - bad epochs 0
-2018-12-16 15:31:00,983 TEST : loss 0.21678720 - f-score 0.9343 - acc 0.9343
-2018-12-16 15:31:00,984 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:31:01,365 epoch 13 - iter 0/6098 - loss 0.37140310
-2018-12-16 15:33:05,811 epoch 13 - iter 609/6098 - loss 0.28225430
-2018-12-16 15:35:12,601 epoch 13 - iter 1218/6098 - loss 0.28395293
-2018-12-16 15:37:18,873 epoch 13 - iter 1827/6098 - loss 0.28385413
-2018-12-16 15:39:36,655 epoch 13 - iter 2436/6098 - loss 0.28607801
-2018-12-16 15:41:45,750 epoch 13 - iter 3045/6098 - loss 0.28639498
-2018-12-16 15:43:52,915 epoch 13 - iter 3654/6098 - loss 0.28663944
-2018-12-16 15:46:00,821 epoch 13 - iter 4263/6098 - loss 0.28689321
-2018-12-16 15:48:08,745 epoch 13 - iter 4872/6098 - loss 0.28691113
-2018-12-16 15:50:13,493 epoch 13 - iter 5481/6098 - loss 0.28734383
-2018-12-16 15:52:19,401 epoch 13 - iter 6090/6098 - loss 0.28717431
-2018-12-16 15:52:20,860 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:52:20,860 EPOCH 13 done: loss 0.2871 - lr 0.1000 - bad epochs 0
-2018-12-16 15:54:34,596 TEST : loss 0.21393007 - f-score 0.9354 - acc 0.9354
-2018-12-16 15:54:34,597 ----------------------------------------------------------------------------------------------------
-2018-12-16 15:54:35,009 epoch 14 - iter 0/6098 - loss 0.17837118
-2018-12-16 15:56:42,443 epoch 14 - iter 609/6098 - loss 0.27866069
-2018-12-16 15:58:49,054 epoch 14 - iter 1218/6098 - loss 0.27755089
-2018-12-16 16:00:54,552 epoch 14 - iter 1827/6098 - loss 0.27876962
-2018-12-16 16:02:59,888 epoch 14 - iter 2436/6098 - loss 0.27829400
-2018-12-16 16:05:04,703 epoch 14 - iter 3045/6098 - loss 0.27911588
-2018-12-16 16:07:12,825 epoch 14 - iter 3654/6098 - loss 0.27953703
-2018-12-16 16:09:18,840 epoch 14 - iter 4263/6098 - loss 0.28009989
-2018-12-16 16:11:29,064 epoch 14 - iter 4872/6098 - loss 0.28081441
-2018-12-16 16:13:36,984 epoch 14 - iter 5481/6098 - loss 0.28028997
-2018-12-16 16:15:45,063 epoch 14 - iter 6090/6098 - loss 0.28101345
-2018-12-16 16:15:46,384 ----------------------------------------------------------------------------------------------------
-2018-12-16 16:15:46,384 EPOCH 14 done: loss 0.2810 - lr 0.1000 - bad epochs 0
-2018-12-16 16:17:59,188 TEST : loss 0.20863359 - f-score 0.9367 - acc 0.9367
-2018-12-16 16:17:59,189 ----------------------------------------------------------------------------------------------------
-2018-12-16 16:17:59,545 epoch 15 - iter 0/6098 - loss 0.21165378
-2018-12-16 16:20:06,280 epoch 15 - iter 609/6098 - loss 0.27172688
-2018-12-16 16:22:13,905 epoch 15 - iter 1218/6098 - loss 0.27225775
-2018-12-16 16:24:22,180 epoch 15 - iter 1827/6098 - loss 0.27385993
-2018-12-16 16:26:28,754 epoch 15 - iter 2436/6098 - loss 0.27349271
-2018-12-16 16:28:34,496 epoch 15 - iter 3045/6098 - loss 0.27387289
-2018-12-16 16:30:39,114 epoch 15 - iter 3654/6098 - loss 0.27397228
-2018-12-16 16:32:44,271 epoch 15 - iter 4263/6098 - loss 0.27457214
-2018-12-16 16:34:51,589 epoch 15 - iter 4872/6098 - loss 0.27432367
-2018-12-16 16:36:59,087 epoch 15 - iter 5481/6098 - loss 0.27453908
-2018-12-16 16:39:07,241 epoch 15 - iter 6090/6098 - loss 0.27465295
-2018-12-16 16:39:08,668 ----------------------------------------------------------------------------------------------------
-2018-12-16 16:39:08,668 EPOCH 15 done: loss 0.2747 - lr 0.1000 - bad epochs 0
-2018-12-16 16:41:22,355 TEST : loss 0.20395002 - f-score 0.9388 - acc 0.9388
-2018-12-16 16:41:22,356 ----------------------------------------------------------------------------------------------------
-2018-12-16 16:41:22,721 epoch 16 - iter 0/6098 - loss 0.25055519
-2018-12-16 16:43:30,000 epoch 16 - iter 609/6098 - loss 0.26918931
-2018-12-16 16:45:38,729 epoch 16 - iter 1218/6098 - loss 0.26837132
-2018-12-16 16:47:48,055 epoch 16 - iter 1827/6098 - loss 0.26719274
-2018-12-16 16:49:54,556 epoch 16 - iter 2436/6098 - loss 0.26823513
-2018-12-16 16:52:02,629 epoch 16 - iter 3045/6098 - loss 0.26855918
-2018-12-16 16:54:06,365 epoch 16 - iter 3654/6098 - loss 0.26916018
-2018-12-16 16:56:12,465 epoch 16 - iter 4263/6098 - loss 0.26929876
-2018-12-16 16:58:20,368 epoch 16 - iter 4872/6098 - loss 0.26898072
-2018-12-16 17:00:29,587 epoch 16 - iter 5481/6098 - loss 0.26935083
-2018-12-16 17:02:37,308 epoch 16 - iter 6090/6098 - loss 0.27022492
-2018-12-16 17:02:38,872 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:02:38,873 EPOCH 16 done: loss 0.2702 - lr 0.1000 - bad epochs 0
-2018-12-16 17:04:53,294 TEST : loss 0.20396850 - f-score 0.9390 - acc 0.9390
-2018-12-16 17:04:53,295 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:04:53,739 epoch 17 - iter 0/6098 - loss 0.13706711
-2018-12-16 17:06:59,614 epoch 17 - iter 609/6098 - loss 0.26177699
-2018-12-16 17:09:03,557 epoch 17 - iter 1218/6098 - loss 0.26544181
-2018-12-16 17:11:11,152 epoch 17 - iter 1827/6098 - loss 0.26683246
-2018-12-16 17:13:19,217 epoch 17 - iter 2436/6098 - loss 0.26618941
-2018-12-16 17:15:26,575 epoch 17 - iter 3045/6098 - loss 0.26647716
-2018-12-16 17:17:33,491 epoch 17 - iter 3654/6098 - loss 0.26651436
-2018-12-16 17:19:39,430 epoch 17 - iter 4263/6098 - loss 0.26699260
-2018-12-16 17:21:44,585 epoch 17 - iter 4872/6098 - loss 0.26802111
-2018-12-16 17:23:52,202 epoch 17 - iter 5481/6098 - loss 0.26799676
-2018-12-16 17:25:59,932 epoch 17 - iter 6090/6098 - loss 0.26777376
-2018-12-16 17:26:01,495 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:26:01,495 EPOCH 17 done: loss 0.2677 - lr 0.1000 - bad epochs 0
-2018-12-16 17:28:14,182 TEST : loss 0.20071605 - f-score 0.9400 - acc 0.9400
-2018-12-16 17:28:14,183 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:28:14,628 epoch 18 - iter 0/6098 - loss 0.21095642
-2018-12-16 17:30:21,407 epoch 18 - iter 609/6098 - loss 0.26290749
-2018-12-16 17:32:29,341 epoch 18 - iter 1218/6098 - loss 0.26396158
-2018-12-16 17:34:35,953 epoch 18 - iter 1827/6098 - loss 0.26180152
-2018-12-16 17:36:44,210 epoch 18 - iter 2436/6098 - loss 0.26144925
-2018-12-16 17:38:52,965 epoch 18 - iter 3045/6098 - loss 0.26211279
-2018-12-16 17:40:59,255 epoch 18 - iter 3654/6098 - loss 0.26305079
-2018-12-16 17:43:05,794 epoch 18 - iter 4263/6098 - loss 0.26298005
-2018-12-16 17:45:13,201 epoch 18 - iter 4872/6098 - loss 0.26350393
-2018-12-16 17:47:18,910 epoch 18 - iter 5481/6098 - loss 0.26341458
-2018-12-16 17:49:26,623 epoch 18 - iter 6090/6098 - loss 0.26323992
-2018-12-16 17:49:28,053 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:49:28,053 EPOCH 18 done: loss 0.2633 - lr 0.1000 - bad epochs 0
-2018-12-16 17:51:41,146 TEST : loss 0.19669110 - f-score 0.9414 - acc 0.9414
-2018-12-16 17:51:41,147 ----------------------------------------------------------------------------------------------------
-2018-12-16 17:51:41,560 epoch 19 - iter 0/6098 - loss 0.20623782
-2018-12-16 17:53:49,015 epoch 19 - iter 609/6098 - loss 0.25649545
-2018-12-16 17:55:54,679 epoch 19 - iter 1218/6098 - loss 0.25789730
-2018-12-16 17:58:02,329 epoch 19 - iter 1827/6098 - loss 0.25741676
-2018-12-16 18:00:08,358 epoch 19 - iter 2436/6098 - loss 0.25642395
-2018-12-16 18:02:16,192 epoch 19 - iter 3045/6098 - loss 0.25744866
-2018-12-16 18:04:26,389 epoch 19 - iter 3654/6098 - loss 0.25813625
-2018-12-16 18:06:30,319 epoch 19 - iter 4263/6098 - loss 0.25876902
-2018-12-16 18:08:35,547 epoch 19 - iter 4872/6098 - loss 0.25901481
-2018-12-16 18:10:40,903 epoch 19 - iter 5481/6098 - loss 0.25915386
-2018-12-16 18:12:47,361 epoch 19 - iter 6090/6098 - loss 0.25876724
-2018-12-16 18:12:48,828 ----------------------------------------------------------------------------------------------------
-2018-12-16 18:12:48,828 EPOCH 19 done: loss 0.2588 - lr 0.1000 - bad epochs 0
-2018-12-16 18:15:15,474 TEST : loss 0.19299389 - f-score 0.9432 - acc 0.9432
-2018-12-16 18:15:15,475 ----------------------------------------------------------------------------------------------------
-2018-12-16 18:15:15,885 epoch 20 - iter 0/6098 - loss 0.22621159
-2018-12-16 18:17:23,769 epoch 20 - iter 609/6098 - loss 0.24943418
-2018-12-16 18:19:30,879 epoch 20 - iter 1218/6098 - loss 0.25101814
-2018-12-16 18:21:36,909 epoch 20 - iter 1827/6098 - loss 0.25404066
-2018-12-16 18:23:43,224 epoch 20 - iter 2436/6098 - loss 0.25392935
-2018-12-16 18:25:50,418 epoch 20 - iter 3045/6098 - loss 0.25475425
-2018-12-16 18:27:59,339 epoch 20 - iter 3654/6098 - loss 0.25462870
-2018-12-16 18:30:04,728 epoch 20 - iter 4263/6098 - loss 0.25409600
-2018-12-16 18:32:11,310 epoch 20 - iter 4872/6098 - loss 0.25437776
-2018-12-16 18:34:20,780 epoch 20 - iter 5481/6098 - loss 0.25360269
-2018-12-16 18:36:26,042 epoch 20 - iter 6090/6098 - loss 0.25377878
-2018-12-16 18:36:27,568 ----------------------------------------------------------------------------------------------------
-2018-12-16 18:36:27,568 EPOCH 20 done: loss 0.2537 - lr 0.1000 - bad epochs 0
-2018-12-16 18:38:40,372 TEST : loss 0.19409169 - f-score 0.9429 - acc 0.9429
-2018-12-16 18:38:40,373 ----------------------------------------------------------------------------------------------------
-2018-12-16 18:38:40,756 epoch 21 - iter 0/6098 - loss 0.40618077
-2018-12-16 18:40:48,800 epoch 21 - iter 609/6098 - loss 0.25071046
-2018-12-16 18:42:52,552 epoch 21 - iter 1218/6098 - loss 0.25047489
-2018-12-16 18:45:00,725 epoch 21 - iter 1827/6098 - loss 0.25170453
-2018-12-16 18:47:09,251 epoch 21 - iter 2436/6098 - loss 0.25162026
-2018-12-16 18:49:15,743 epoch 21 - iter 3045/6098 - loss 0.25144480
-2018-12-16 18:51:22,078 epoch 21 - iter 3654/6098 - loss 0.25150783
-2018-12-16 18:53:29,357 epoch 21 - iter 4263/6098 - loss 0.25161826
-2018-12-16 18:55:37,777 epoch 21 - iter 4872/6098 - loss 0.25210431
-2018-12-16 18:57:43,677 epoch 21 - iter 5481/6098 - loss 0.25215571
-2018-12-16 18:59:50,686 epoch 21 - iter 6090/6098 - loss 0.25265880
-2018-12-16 18:59:52,229 ----------------------------------------------------------------------------------------------------
-2018-12-16 18:59:52,229 EPOCH 21 done: loss 0.2526 - lr 0.1000 - bad epochs 0
-2018-12-16 19:02:06,666 TEST : loss 0.19274262 - f-score 0.9433 - acc 0.9433
-2018-12-16 19:02:06,667 ----------------------------------------------------------------------------------------------------
-2018-12-16 19:02:07,072 epoch 22 - iter 0/6098 - loss 0.29299307
-2018-12-16 19:04:16,233 epoch 22 - iter 609/6098 - loss 0.25291284
-2018-12-16 19:06:23,759 epoch 22 - iter 1218/6098 - loss 0.24927528
-2018-12-16 19:08:33,795 epoch 22 - iter 1827/6098 - loss 0.24993911
-2018-12-16 19:10:41,518 epoch 22 - iter 2436/6098 - loss 0.24986445
-2018-12-16 19:12:47,692 epoch 22 - iter 3045/6098 - loss 0.25091774
-2018-12-16 19:14:52,749 epoch 22 - iter 3654/6098 - loss 0.25044192
-2018-12-16 19:16:59,467 epoch 22 - iter 4263/6098 - loss 0.25084376
-2018-12-16 19:19:04,424 epoch 22 - iter 4872/6098 - loss 0.25107823
-2018-12-16 19:21:13,302 epoch 22 - iter 5481/6098 - loss 0.25102868
-2018-12-16 19:23:21,209 epoch 22 - iter 6090/6098 - loss 0.25060615
-2018-12-16 19:23:22,714 ----------------------------------------------------------------------------------------------------
-2018-12-16 19:23:22,714 EPOCH 22 done: loss 0.2506 - lr 0.1000 - bad epochs 0
-2018-12-16 19:25:36,830 TEST : loss 0.18645173 - f-score 0.9454 - acc 0.9454
-2018-12-16 19:25:36,831 ----------------------------------------------------------------------------------------------------
-2018-12-16 19:25:37,199 epoch 23 - iter 0/6098 - loss 0.25131637
-2018-12-16 19:27:44,811 epoch 23 - iter 609/6098 - loss 0.24562623
-2018-12-16 19:29:51,666 epoch 23 - iter 1218/6098 - loss 0.24637023
-2018-12-16 19:31:58,715 epoch 23 - iter 1827/6098 - loss 0.24490277
-2018-12-16 19:34:07,917 epoch 23 - iter 2436/6098 - loss 0.24592618
-2018-12-16 19:36:14,373 epoch 23 - iter 3045/6098 - loss 0.24641896
-2018-12-16 19:38:19,684 epoch 23 - iter 3654/6098 - loss 0.24659958
-2018-12-16 19:40:27,485 epoch 23 - iter 4263/6098 - loss 0.24703007
-2018-12-16 19:42:34,042 epoch 23 - iter 4872/6098 - loss 0.24728008
-2018-12-16 19:44:40,118 epoch 23 - iter 5481/6098 - loss 0.24759644
-2018-12-16 19:46:45,484 epoch 23 - iter 6090/6098 - loss 0.24798347
-2018-12-16 19:46:46,899 ----------------------------------------------------------------------------------------------------
-2018-12-16 19:46:46,899 EPOCH 23 done: loss 0.2479 - lr 0.1000 - bad epochs 0
-2018-12-16 19:49:01,163 TEST : loss 0.18344106 - f-score 0.9459 - acc 0.9459
-2018-12-16 19:49:01,164 ----------------------------------------------------------------------------------------------------
-2018-12-16 19:49:01,563 epoch 24 - iter 0/6098 - loss 0.19651107
-2018-12-16 19:51:11,499 epoch 24 - iter 609/6098 - loss 0.24147464
-2018-12-16 19:53:18,889 epoch 24 - iter 1218/6098 - loss 0.24288359
-2018-12-16 19:55:30,144 epoch 24 - iter 1827/6098 - loss 0.24416466
-2018-12-16 19:57:36,029 epoch 24 - iter 2436/6098 - loss 0.24481507
-2018-12-16 19:59:41,457 epoch 24 - iter 3045/6098 - loss 0.24478355
-2018-12-16 20:01:47,020 epoch 24 - iter 3654/6098 - loss 0.24437730
-2018-12-16 20:03:53,895 epoch 24 - iter 4263/6098 - loss 0.24494333
-2018-12-16 20:06:00,373 epoch 24 - iter 4872/6098 - loss 0.24453821
-2018-12-16 20:08:07,418 epoch 24 - iter 5481/6098 - loss 0.24406003
-2018-12-16 20:10:16,452 epoch 24 - iter 6090/6098 - loss 0.24368025
-2018-12-16 20:10:17,847 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:10:17,847 EPOCH 24 done: loss 0.2437 - lr 0.1000 - bad epochs 0
-2018-12-16 20:12:32,925 TEST : loss 0.18499818 - f-score 0.9458 - acc 0.9458
-2018-12-16 20:12:32,926 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:12:33,268 epoch 25 - iter 0/6098 - loss 0.26367083
-2018-12-16 20:14:42,237 epoch 25 - iter 609/6098 - loss 0.24054169
-2018-12-16 20:16:48,790 epoch 25 - iter 1218/6098 - loss 0.23997172
-2018-12-16 20:18:55,536 epoch 25 - iter 1827/6098 - loss 0.24044001
-2018-12-16 20:21:00,296 epoch 25 - iter 2436/6098 - loss 0.23915930
-2018-12-16 20:23:06,043 epoch 25 - iter 3045/6098 - loss 0.23991738
-2018-12-16 20:25:14,288 epoch 25 - iter 3654/6098 - loss 0.24010700
-2018-12-16 20:27:19,485 epoch 25 - iter 4263/6098 - loss 0.24019606
-2018-12-16 20:29:26,342 epoch 25 - iter 4872/6098 - loss 0.24100957
-2018-12-16 20:31:31,762 epoch 25 - iter 5481/6098 - loss 0.24149720
-2018-12-16 20:33:41,931 epoch 25 - iter 6090/6098 - loss 0.24154335
-2018-12-16 20:33:43,566 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:33:43,566 EPOCH 25 done: loss 0.2416 - lr 0.1000 - bad epochs 0
-2018-12-16 20:35:57,805 TEST : loss 0.18277414 - f-score 0.9464 - acc 0.9464
-2018-12-16 20:35:57,806 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:35:58,195 epoch 26 - iter 0/6098 - loss 0.19121270
-2018-12-16 20:38:06,475 epoch 26 - iter 609/6098 - loss 0.24395233
-2018-12-16 20:40:11,772 epoch 26 - iter 1218/6098 - loss 0.23973923
-2018-12-16 20:42:19,170 epoch 26 - iter 1827/6098 - loss 0.23951664
-2018-12-16 20:44:26,107 epoch 26 - iter 2436/6098 - loss 0.23903982
-2018-12-16 20:46:45,286 epoch 26 - iter 3045/6098 - loss 0.23935122
-2018-12-16 20:48:52,011 epoch 26 - iter 3654/6098 - loss 0.23898404
-2018-12-16 20:50:59,291 epoch 26 - iter 4263/6098 - loss 0.23913412
-2018-12-16 20:53:07,616 epoch 26 - iter 4872/6098 - loss 0.23897716
-2018-12-16 20:55:12,294 epoch 26 - iter 5481/6098 - loss 0.23919996
-2018-12-16 20:57:21,594 epoch 26 - iter 6090/6098 - loss 0.23967899
-2018-12-16 20:57:22,860 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:57:22,860 EPOCH 26 done: loss 0.2397 - lr 0.1000 - bad epochs 0
-2018-12-16 20:59:37,086 TEST : loss 0.17882644 - f-score 0.9477 - acc 0.9477
-2018-12-16 20:59:37,087 ----------------------------------------------------------------------------------------------------
-2018-12-16 20:59:37,509 epoch 27 - iter 0/6098 - loss 0.25960448
-2018-12-16 21:01:44,789 epoch 27 - iter 609/6098 - loss 0.23506360
-2018-12-16 21:03:50,295 epoch 27 - iter 1218/6098 - loss 0.23775353
-2018-12-16 21:05:56,835 epoch 27 - iter 1827/6098 - loss 0.23664041
-2018-12-16 21:08:01,100 epoch 27 - iter 2436/6098 - loss 0.23636465
-2018-12-16 21:10:07,006 epoch 27 - iter 3045/6098 - loss 0.23653020
-2018-12-16 21:12:14,129 epoch 27 - iter 3654/6098 - loss 0.23644354
-2018-12-16 21:14:21,841 epoch 27 - iter 4263/6098 - loss 0.23630832
-2018-12-16 21:16:29,455 epoch 27 - iter 4872/6098 - loss 0.23670656
-2018-12-16 21:18:38,862 epoch 27 - iter 5481/6098 - loss 0.23695916
-2018-12-16 21:20:45,976 epoch 27 - iter 6090/6098 - loss 0.23711994
-2018-12-16 21:20:47,571 ----------------------------------------------------------------------------------------------------
-2018-12-16 21:20:47,572 EPOCH 27 done: loss 0.2371 - lr 0.1000 - bad epochs 0
-2018-12-16 21:23:02,860 TEST : loss 0.17898998 - f-score 0.9474 - acc 0.9474
-2018-12-16 21:23:02,862 ----------------------------------------------------------------------------------------------------
-2018-12-16 21:23:03,194 epoch 28 - iter 0/6098 - loss 0.20492655
-2018-12-16 21:25:09,780 epoch 28 - iter 609/6098 - loss 0.23504552
-2018-12-16 21:27:16,564 epoch 28 - iter 1218/6098 - loss 0.23512462
-2018-12-16 21:29:23,439 epoch 28 - iter 1827/6098 - loss 0.23619499
-2018-12-16 21:31:29,845 epoch 28 - iter 2436/6098 - loss 0.23742652
-2018-12-16 21:33:36,039 epoch 28 - iter 3045/6098 - loss 0.23752313
-2018-12-16 21:35:41,657 epoch 28 - iter 3654/6098 - loss 0.23721658
-2018-12-16 21:37:48,007 epoch 28 - iter 4263/6098 - loss 0.23694806
-2018-12-16 21:39:54,710 epoch 28 - iter 4872/6098 - loss 0.23693090
-2018-12-16 21:42:03,595 epoch 28 - iter 5481/6098 - loss 0.23683165
-2018-12-16 21:44:12,109 epoch 28 - iter 6090/6098 - loss 0.23682158
-2018-12-16 21:44:13,565 ----------------------------------------------------------------------------------------------------
-2018-12-16 21:44:13,565 EPOCH 28 done: loss 0.2368 - lr 0.1000 - bad epochs 0
-2018-12-16 21:46:26,774 TEST : loss 0.18206912 - f-score 0.9464 - acc 0.9464
-2018-12-16 21:46:26,775 ----------------------------------------------------------------------------------------------------
-2018-12-16 21:46:27,166 epoch 29 - iter 0/6098 - loss 0.12224352
-2018-12-16 21:48:35,657 epoch 29 - iter 609/6098 - loss 0.23423263
-2018-12-16 21:50:43,607 epoch 29 - iter 1218/6098 - loss 0.23351825
-2018-12-16 21:52:50,378 epoch 29 - iter 1827/6098 - loss 0.23381710
-2018-12-16 21:54:57,854 epoch 29 - iter 2436/6098 - loss 0.23376468
-2018-12-16 21:57:07,486 epoch 29 - iter 3045/6098 - loss 0.23349968
-2018-12-16 21:59:13,650 epoch 29 - iter 3654/6098 - loss 0.23316971
-2018-12-16 22:01:23,036 epoch 29 - iter 4263/6098 - loss 0.23312385
-2018-12-16 22:03:29,916 epoch 29 - iter 4872/6098 - loss 0.23333555
-2018-12-16 22:05:34,616 epoch 29 - iter 5481/6098 - loss 0.23339239
-2018-12-16 22:07:42,801 epoch 29 - iter 6090/6098 - loss 0.23327914
-2018-12-16 22:07:44,235 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:07:44,236 EPOCH 29 done: loss 0.2333 - lr 0.1000 - bad epochs 0
-2018-12-16 22:09:57,642 TEST : loss 0.17905085 - f-score 0.9481 - acc 0.9481
-2018-12-16 22:09:57,643 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:09:58,052 epoch 30 - iter 0/6098 - loss 0.30401850
-2018-12-16 22:12:06,459 epoch 30 - iter 609/6098 - loss 0.22550561
-2018-12-16 22:14:14,682 epoch 30 - iter 1218/6098 - loss 0.22925100
-2018-12-16 22:16:21,400 epoch 30 - iter 1827/6098 - loss 0.23014432
-2018-12-16 22:18:28,000 epoch 30 - iter 2436/6098 - loss 0.23105670
-2018-12-16 22:20:34,991 epoch 30 - iter 3045/6098 - loss 0.23109431
-2018-12-16 22:22:40,834 epoch 30 - iter 3654/6098 - loss 0.23071009
-2018-12-16 22:24:48,022 epoch 30 - iter 4263/6098 - loss 0.23082223
-2018-12-16 22:26:57,270 epoch 30 - iter 4872/6098 - loss 0.23068729
-2018-12-16 22:29:01,933 epoch 30 - iter 5481/6098 - loss 0.23066168
-2018-12-16 22:31:08,858 epoch 30 - iter 6090/6098 - loss 0.23128402
-2018-12-16 22:31:10,423 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:31:10,424 EPOCH 30 done: loss 0.2313 - lr 0.1000 - bad epochs 0
-2018-12-16 22:33:23,677 TEST : loss 0.17505850 - f-score 0.9490 - acc 0.9490
-2018-12-16 22:33:23,678 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:33:24,043 epoch 31 - iter 0/6098 - loss 0.20556223
-2018-12-16 22:35:30,804 epoch 31 - iter 609/6098 - loss 0.22823198
-2018-12-16 22:37:38,833 epoch 31 - iter 1218/6098 - loss 0.22695355
-2018-12-16 22:39:45,973 epoch 31 - iter 1827/6098 - loss 0.22771969
-2018-12-16 22:41:51,577 epoch 31 - iter 2436/6098 - loss 0.22799679
-2018-12-16 22:43:58,590 epoch 31 - iter 3045/6098 - loss 0.22832940
-2018-12-16 22:46:06,002 epoch 31 - iter 3654/6098 - loss 0.22870266
-2018-12-16 22:48:13,748 epoch 31 - iter 4263/6098 - loss 0.22864940
-2018-12-16 22:50:23,528 epoch 31 - iter 4872/6098 - loss 0.22870537
-2018-12-16 22:52:30,304 epoch 31 - iter 5481/6098 - loss 0.22940402
-2018-12-16 22:54:39,896 epoch 31 - iter 6090/6098 - loss 0.22932057
-2018-12-16 22:54:41,440 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:54:41,441 EPOCH 31 done: loss 0.2293 - lr 0.1000 - bad epochs 0
-2018-12-16 22:56:56,841 TEST : loss 0.17706542 - f-score 0.9484 - acc 0.9484
-2018-12-16 22:56:56,842 ----------------------------------------------------------------------------------------------------
-2018-12-16 22:56:57,186 epoch 32 - iter 0/6098 - loss 0.44443145
-2018-12-16 22:59:06,246 epoch 32 - iter 609/6098 - loss 0.22474875
-2018-12-16 23:01:14,221 epoch 32 - iter 1218/6098 - loss 0.22595382
-2018-12-16 23:03:23,426 epoch 32 - iter 1827/6098 - loss 0.22536129
-2018-12-16 23:05:29,412 epoch 32 - iter 2436/6098 - loss 0.22575237
-2018-12-16 23:07:36,989 epoch 32 - iter 3045/6098 - loss 0.22699496
-2018-12-16 23:09:44,844 epoch 32 - iter 3654/6098 - loss 0.22780629
-2018-12-16 23:11:53,932 epoch 32 - iter 4263/6098 - loss 0.22736191
-2018-12-16 23:14:00,521 epoch 32 - iter 4872/6098 - loss 0.22752548
-2018-12-16 23:16:07,941 epoch 32 - iter 5481/6098 - loss 0.22737091
-2018-12-16 23:18:15,278 epoch 32 - iter 6090/6098 - loss 0.22739193
-2018-12-16 23:18:16,982 ----------------------------------------------------------------------------------------------------
-2018-12-16 23:18:16,983 EPOCH 32 done: loss 0.2274 - lr 0.1000 - bad epochs 0
-2018-12-16 23:20:45,867 TEST : loss 0.17561182 - f-score 0.9492 - acc 0.9492
-2018-12-16 23:20:45,868 ----------------------------------------------------------------------------------------------------
-2018-12-16 23:20:46,205 epoch 33 - iter 0/6098 - loss 0.22598432
-2018-12-16 23:22:52,940 epoch 33 - iter 609/6098 - loss 0.22360507
-2018-12-16 23:24:59,126 epoch 33 - iter 1218/6098 - loss 0.22416245
-2018-12-16 23:27:03,819 epoch 33 - iter 1827/6098 - loss 0.22528875
-2018-12-16 23:29:09,375 epoch 33 - iter 2436/6098 - loss 0.22440043
-2018-12-16 23:31:18,093 epoch 33 - iter 3045/6098 - loss 0.22493574
-2018-12-16 23:33:24,440 epoch 33 - iter 3654/6098 - loss 0.22441991
-2018-12-16 23:35:33,664 epoch 33 - iter 4263/6098 - loss 0.22462006
-2018-12-16 23:37:41,783 epoch 33 - iter 4872/6098 - loss 0.22509072
-2018-12-16 23:39:48,945 epoch 33 - iter 5481/6098 - loss 0.22537004
-2018-12-16 23:41:56,118 epoch 33 - iter 6090/6098 - loss 0.22549466
-2018-12-16 23:41:57,511 ----------------------------------------------------------------------------------------------------
-2018-12-16 23:41:57,511 EPOCH 33 done: loss 0.2255 - lr 0.1000 - bad epochs 0
-2018-12-16 23:44:10,154 TEST : loss 0.17981063 - f-score 0.9485 - acc 0.9485
-2018-12-16 23:44:10,155 ----------------------------------------------------------------------------------------------------
-2018-12-16 23:44:10,500 epoch 34 - iter 0/6098 - loss 0.14203709
-2018-12-16 23:46:17,178 epoch 34 - iter 609/6098 - loss 0.22401046
-2018-12-16 23:48:27,984 epoch 34 - iter 1218/6098 - loss 0.22370669
-2018-12-16 23:50:35,219 epoch 34 - iter 1827/6098 - loss 0.22299661
-2018-12-16 23:52:41,669 epoch 34 - iter 2436/6098 - loss 0.22263164
-2018-12-16 23:54:50,862 epoch 34 - iter 3045/6098 - loss 0.22365271
-2018-12-16 23:56:55,964 epoch 34 - iter 3654/6098 - loss 0.22397832
-2018-12-16 23:59:02,871 epoch 34 - iter 4263/6098 - loss 0.22400743
-2018-12-17 00:01:07,721 epoch 34 - iter 4872/6098 - loss 0.22427244
-2018-12-17 00:03:13,685 epoch 34 - iter 5481/6098 - loss 0.22433737
-2018-12-17 00:05:19,181 epoch 34 - iter 6090/6098 - loss 0.22410797
-2018-12-17 00:05:20,480 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:05:20,480 EPOCH 34 done: loss 0.2241 - lr 0.1000 - bad epochs 0
-2018-12-17 00:07:34,424 TEST : loss 0.17431866 - f-score 0.9500 - acc 0.9500
-2018-12-17 00:07:34,425 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:07:34,813 epoch 35 - iter 0/6098 - loss 0.15083629
-2018-12-17 00:09:44,602 epoch 35 - iter 609/6098 - loss 0.21932656
-2018-12-17 00:11:51,666 epoch 35 - iter 1218/6098 - loss 0.21765887
-2018-12-17 00:13:58,487 epoch 35 - iter 1827/6098 - loss 0.21852462
-2018-12-17 00:16:04,605 epoch 35 - iter 2436/6098 - loss 0.21918597
-2018-12-17 00:18:10,032 epoch 35 - iter 3045/6098 - loss 0.22037154
-2018-12-17 00:20:17,029 epoch 35 - iter 3654/6098 - loss 0.22027609
-2018-12-17 00:22:25,122 epoch 35 - iter 4263/6098 - loss 0.22094990
-2018-12-17 00:24:28,099 epoch 35 - iter 4872/6098 - loss 0.22108367
-2018-12-17 00:26:34,626 epoch 35 - iter 5481/6098 - loss 0.22140263
-2018-12-17 00:28:42,084 epoch 35 - iter 6090/6098 - loss 0.22153793
-2018-12-17 00:28:43,432 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:28:43,432 EPOCH 35 done: loss 0.2215 - lr 0.1000 - bad epochs 0
-2018-12-17 00:30:57,772 TEST : loss 0.17088848 - f-score 0.9506 - acc 0.9506
-2018-12-17 00:30:57,773 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:30:58,194 epoch 36 - iter 0/6098 - loss 0.15752508
-2018-12-17 00:33:08,678 epoch 36 - iter 609/6098 - loss 0.22083104
-2018-12-17 00:35:15,473 epoch 36 - iter 1218/6098 - loss 0.21804230
-2018-12-17 00:37:21,481 epoch 36 - iter 1827/6098 - loss 0.21904395
-2018-12-17 00:39:29,650 epoch 36 - iter 2436/6098 - loss 0.21894659
-2018-12-17 00:41:34,450 epoch 36 - iter 3045/6098 - loss 0.21906135
-2018-12-17 00:43:40,650 epoch 36 - iter 3654/6098 - loss 0.22126188
-2018-12-17 00:45:44,584 epoch 36 - iter 4263/6098 - loss 0.22072661
-2018-12-17 00:47:56,112 epoch 36 - iter 4872/6098 - loss 0.22088362
-2018-12-17 00:50:02,762 epoch 36 - iter 5481/6098 - loss 0.22089177
-2018-12-17 00:52:09,630 epoch 36 - iter 6090/6098 - loss 0.22152575
-2018-12-17 00:52:10,973 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:52:10,974 EPOCH 36 done: loss 0.2216 - lr 0.1000 - bad epochs 0
-2018-12-17 00:54:24,189 TEST : loss 0.17034981 - f-score 0.9512 - acc 0.9512
-2018-12-17 00:54:24,191 ----------------------------------------------------------------------------------------------------
-2018-12-17 00:54:24,552 epoch 37 - iter 0/6098 - loss 0.24379776
-2018-12-17 00:56:33,314 epoch 37 - iter 609/6098 - loss 0.21559324
-2018-12-17 00:58:39,807 epoch 37 - iter 1218/6098 - loss 0.21762021
-2018-12-17 01:00:45,907 epoch 37 - iter 1827/6098 - loss 0.21682175
-2018-12-17 01:02:53,361 epoch 37 - iter 2436/6098 - loss 0.21727750
-2018-12-17 01:05:01,434 epoch 37 - iter 3045/6098 - loss 0.21804574
-2018-12-17 01:07:08,598 epoch 37 - iter 3654/6098 - loss 0.21930435
-2018-12-17 01:09:14,820 epoch 37 - iter 4263/6098 - loss 0.21920880
-2018-12-17 01:11:22,518 epoch 37 - iter 4872/6098 - loss 0.21982968
-2018-12-17 01:13:30,555 epoch 37 - iter 5481/6098 - loss 0.21973584
-2018-12-17 01:15:36,929 epoch 37 - iter 6090/6098 - loss 0.22055737
-2018-12-17 01:15:38,400 ----------------------------------------------------------------------------------------------------
-2018-12-17 01:15:38,400 EPOCH 37 done: loss 0.2206 - lr 0.1000 - bad epochs 1
-2018-12-17 01:17:51,376 TEST : loss 0.17013074 - f-score 0.9511 - acc 0.9511
-2018-12-17 01:17:51,377 ----------------------------------------------------------------------------------------------------
-2018-12-17 01:17:51,807 epoch 38 - iter 0/6098 - loss 0.23303553
-2018-12-17 01:20:00,878 epoch 38 - iter 609/6098 - loss 0.21022930
-2018-12-17 01:22:07,530 epoch 38 - iter 1218/6098 - loss 0.21386852
-2018-12-17 01:24:16,882 epoch 38 - iter 1827/6098 - loss 0.21527229
-2018-12-17 01:26:23,122 epoch 38 - iter 2436/6098 - loss 0.21669966
-2018-12-17 01:28:28,976 epoch 38 - iter 3045/6098 - loss 0.21737822
-2018-12-17 01:30:35,494 epoch 38 - iter 3654/6098 - loss 0.21746724
-2018-12-17 01:32:40,914 epoch 38 - iter 4263/6098 - loss 0.21771960
-2018-12-17 01:34:49,137 epoch 38 - iter 4872/6098 - loss 0.21836608
-2018-12-17 01:36:55,873 epoch 38 - iter 5481/6098 - loss 0.21875006
-2018-12-17 01:39:02,921 epoch 38 - iter 6090/6098 - loss 0.21850772
-2018-12-17 01:39:04,166 ----------------------------------------------------------------------------------------------------
-2018-12-17 01:39:04,166 EPOCH 38 done: loss 0.2185 - lr 0.1000 - bad epochs 0
-2018-12-17 01:41:20,258 TEST : loss 0.16984828 - f-score 0.9511 - acc 0.9511
-2018-12-17 01:41:20,259 ----------------------------------------------------------------------------------------------------
-2018-12-17 01:41:20,619 epoch 39 - iter 0/6098 - loss 0.24127762
-2018-12-17 01:43:27,767 epoch 39 - iter 609/6098 - loss 0.21699490
-2018-12-17 01:45:33,242 epoch 39 - iter 1218/6098 - loss 0.21725322
-2018-12-17 01:47:40,480 epoch 39 - iter 1827/6098 - loss 0.21803664
-2018-12-17 01:49:47,314 epoch 39 - iter 2436/6098 - loss 0.21756435
-2018-12-17 01:51:53,718 epoch 39 - iter 3045/6098 - loss 0.21750180
-2018-12-17 01:54:00,520 epoch 39 - iter 3654/6098 - loss 0.21855604
-2018-12-17 01:56:18,623 epoch 39 - iter 4263/6098 - loss 0.21854581
-2018-12-17 01:58:26,318 epoch 39 - iter 4872/6098 - loss 0.21805446
-2018-12-17 02:00:33,701 epoch 39 - iter 5481/6098 - loss 0.21783019
-2018-12-17 02:02:40,445 epoch 39 - iter 6090/6098 - loss 0.21716299
-2018-12-17 02:02:41,852 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:02:41,852 EPOCH 39 done: loss 0.2172 - lr 0.1000 - bad epochs 0
-2018-12-17 02:04:56,449 TEST : loss 0.16629294 - f-score 0.9519 - acc 0.9519
-2018-12-17 02:04:56,450 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:04:56,950 epoch 40 - iter 0/6098 - loss 0.17508249
-2018-12-17 02:07:05,412 epoch 40 - iter 609/6098 - loss 0.21563313
-2018-12-17 02:09:11,159 epoch 40 - iter 1218/6098 - loss 0.21629082
-2018-12-17 02:11:19,627 epoch 40 - iter 1827/6098 - loss 0.21564441
-2018-12-17 02:13:24,219 epoch 40 - iter 2436/6098 - loss 0.21577085
-2018-12-17 02:15:30,525 epoch 40 - iter 3045/6098 - loss 0.21515661
-2018-12-17 02:17:36,297 epoch 40 - iter 3654/6098 - loss 0.21511614
-2018-12-17 02:19:42,641 epoch 40 - iter 4263/6098 - loss 0.21489478
-2018-12-17 02:21:49,480 epoch 40 - iter 4872/6098 - loss 0.21588844
-2018-12-17 02:23:56,706 epoch 40 - iter 5481/6098 - loss 0.21625820
-2018-12-17 02:26:05,694 epoch 40 - iter 6090/6098 - loss 0.21682038
-2018-12-17 02:26:07,062 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:26:07,062 EPOCH 40 done: loss 0.2168 - lr 0.1000 - bad epochs 0
-2018-12-17 02:28:19,689 TEST : loss 0.17053819 - f-score 0.9509 - acc 0.9509
-2018-12-17 02:28:19,690 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:28:20,052 epoch 41 - iter 0/6098 - loss 0.25234747
-2018-12-17 02:30:24,379 epoch 41 - iter 609/6098 - loss 0.21615717
-2018-12-17 02:32:31,500 epoch 41 - iter 1218/6098 - loss 0.21529428
-2018-12-17 02:34:38,652 epoch 41 - iter 1827/6098 - loss 0.21573843
-2018-12-17 02:36:44,233 epoch 41 - iter 2436/6098 - loss 0.21512852
-2018-12-17 02:38:49,188 epoch 41 - iter 3045/6098 - loss 0.21591546
-2018-12-17 02:40:56,121 epoch 41 - iter 3654/6098 - loss 0.21617503
-2018-12-17 02:43:02,984 epoch 41 - iter 4263/6098 - loss 0.21636972
-2018-12-17 02:45:12,388 epoch 41 - iter 4872/6098 - loss 0.21646652
-2018-12-17 02:47:19,455 epoch 41 - iter 5481/6098 - loss 0.21679232
-2018-12-17 02:49:25,437 epoch 41 - iter 6090/6098 - loss 0.21705902
-2018-12-17 02:49:26,927 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:49:26,927 EPOCH 41 done: loss 0.2170 - lr 0.1000 - bad epochs 0
-2018-12-17 02:51:41,802 TEST : loss 0.16818319 - f-score 0.9524 - acc 0.9524
-2018-12-17 02:51:41,803 ----------------------------------------------------------------------------------------------------
-2018-12-17 02:51:42,188 epoch 42 - iter 0/6098 - loss 0.11433719
-2018-12-17 02:53:52,757 epoch 42 - iter 609/6098 - loss 0.21149509
-2018-12-17 02:55:58,067 epoch 42 - iter 1218/6098 - loss 0.20914742
-2018-12-17 02:58:07,430 epoch 42 - iter 1827/6098 - loss 0.21158824
-2018-12-17 03:00:14,389 epoch 42 - iter 2436/6098 - loss 0.21168252
-2018-12-17 03:02:19,331 epoch 42 - iter 3045/6098 - loss 0.21164349
-2018-12-17 03:04:27,516 epoch 42 - iter 3654/6098 - loss 0.21195472
-2018-12-17 03:06:34,150 epoch 42 - iter 4263/6098 - loss 0.21195819
-2018-12-17 03:08:42,205 epoch 42 - iter 4872/6098 - loss 0.21231401
-2018-12-17 03:10:47,161 epoch 42 - iter 5481/6098 - loss 0.21200443
-2018-12-17 03:12:53,233 epoch 42 - iter 6090/6098 - loss 0.21259244
-2018-12-17 03:12:54,493 ----------------------------------------------------------------------------------------------------
-2018-12-17 03:12:54,494 EPOCH 42 done: loss 0.2126 - lr 0.1000 - bad epochs 1
-2018-12-17 03:15:08,811 TEST : loss 0.16555659 - f-score 0.9526 - acc 0.9526
-2018-12-17 03:15:08,812 ----------------------------------------------------------------------------------------------------
-2018-12-17 03:15:09,154 epoch 43 - iter 0/6098 - loss 0.36497092
-2018-12-17 03:17:16,502 epoch 43 - iter 609/6098 - loss 0.20856014
-2018-12-17 03:19:24,321 epoch 43 - iter 1218/6098 - loss 0.21085040
-2018-12-17 03:21:33,229 epoch 43 - iter 1827/6098 - loss 0.21113430
-2018-12-17 03:23:42,603 epoch 43 - iter 2436/6098 - loss 0.21135920
-2018-12-17 03:25:51,667 epoch 43 - iter 3045/6098 - loss 0.21159742
-2018-12-17 03:27:59,119 epoch 43 - iter 3654/6098 - loss 0.21208946
-2018-12-17 03:30:06,632 epoch 43 - iter 4263/6098 - loss 0.21217714
-2018-12-17 03:32:12,505 epoch 43 - iter 4872/6098 - loss 0.21261276
-2018-12-17 03:34:20,434 epoch 43 - iter 5481/6098 - loss 0.21259078
-2018-12-17 03:36:28,047 epoch 43 - iter 6090/6098 - loss 0.21277856
-2018-12-17 03:36:29,444 ----------------------------------------------------------------------------------------------------
-2018-12-17 03:36:29,444 EPOCH 43 done: loss 0.2128 - lr 0.1000 - bad epochs 0
-2018-12-17 03:38:43,057 TEST : loss 0.16768259 - f-score 0.9525 - acc 0.9525
-2018-12-17 03:38:43,058 ----------------------------------------------------------------------------------------------------
-2018-12-17 03:38:43,451 epoch 44 - iter 0/6098 - loss 0.13622020
-2018-12-17 03:40:50,774 epoch 44 - iter 609/6098 - loss 0.20776939
-2018-12-17 03:42:58,555 epoch 44 - iter 1218/6098 - loss 0.20841068
-2018-12-17 03:45:05,784 epoch 44 - iter 1827/6098 - loss 0.21024928
-2018-12-17 03:47:11,130 epoch 44 - iter 2436/6098 - loss 0.21114624
-2018-12-17 03:49:17,403 epoch 44 - iter 3045/6098 - loss 0.21140743
-2018-12-17 03:51:24,683 epoch 44 - iter 3654/6098 - loss 0.21141411
-2018-12-17 03:53:33,421 epoch 44 - iter 4263/6098 - loss 0.21121700
-2018-12-17 03:55:43,171 epoch 44 - iter 4872/6098 - loss 0.21124340
-2018-12-17 03:57:50,623 epoch 44 - iter 5481/6098 - loss 0.21139190
-2018-12-17 03:59:57,088 epoch 44 - iter 6090/6098 - loss 0.21138066
-2018-12-17 03:59:58,577 ----------------------------------------------------------------------------------------------------
-2018-12-17 03:59:58,578 EPOCH 44 done: loss 0.2114 - lr 0.1000 - bad epochs 1
-2018-12-17 04:02:11,788 TEST : loss 0.16506973 - f-score 0.9532 - acc 0.9532
-2018-12-17 04:02:11,789 ----------------------------------------------------------------------------------------------------
-2018-12-17 04:02:12,187 epoch 45 - iter 0/6098 - loss 0.24380229
-2018-12-17 04:04:18,461 epoch 45 - iter 609/6098 - loss 0.21201295
-2018-12-17 04:06:26,747 epoch 45 - iter 1218/6098 - loss 0.21031978
-2018-12-17 04:08:34,008 epoch 45 - iter 1827/6098 - loss 0.20917955
-2018-12-17 04:10:40,695 epoch 45 - iter 2436/6098 - loss 0.20868430
-2018-12-17 04:12:49,524 epoch 45 - iter 3045/6098 - loss 0.20805070
-2018-12-17 04:14:55,729 epoch 45 - iter 3654/6098 - loss 0.20817015
-2018-12-17 04:17:01,749 epoch 45 - iter 4263/6098 - loss 0.20913338
-2018-12-17 04:19:08,911 epoch 45 - iter 4872/6098 - loss 0.20917671
-2018-12-17 04:21:16,044 epoch 45 - iter 5481/6098 - loss 0.20992718
-2018-12-17 04:23:24,212 epoch 45 - iter 6090/6098 - loss 0.21030028
-2018-12-17 04:23:25,597 ----------------------------------------------------------------------------------------------------
-2018-12-17 04:23:25,597 EPOCH 45 done: loss 0.2103 - lr 0.1000 - bad epochs 0
-2018-12-17 04:25:50,862 TEST : loss 0.16460283 - f-score 0.9534 - acc 0.9534
-2018-12-17 04:25:50,863 ----------------------------------------------------------------------------------------------------
-2018-12-17 04:25:51,213 epoch 46 - iter 0/6098 - loss 0.13072947
-2018-12-17 04:27:57,461 epoch 46 - iter 609/6098 - loss 0.21166530
-2018-12-17 04:30:05,074 epoch 46 - iter 1218/6098 - loss 0.21150459
-2018-12-17 04:32:10,596 epoch 46 - iter 1827/6098 - loss 0.21074600
-2018-12-17 04:34:18,315 epoch 46 - iter 2436/6098 - loss 0.21026517
-2018-12-17 04:36:24,422 epoch 46 - iter 3045/6098 - loss 0.20935791
-2018-12-17 04:38:34,478 epoch 46 - iter 3654/6098 - loss 0.20913879
-2018-12-17 04:40:40,022 epoch 46 - iter 4263/6098 - loss 0.20900398
-2018-12-17 04:42:47,823 epoch 46 - iter 4872/6098 - loss 0.20953032
-2018-12-17 04:44:56,298 epoch 46 - iter 5481/6098 - loss 0.21006464
-2018-12-17 04:47:02,878 epoch 46 - iter 6090/6098 - loss 0.21046471
-2018-12-17 04:47:04,362 ----------------------------------------------------------------------------------------------------
-2018-12-17 04:47:04,362 EPOCH 46 done: loss 0.2105 - lr 0.1000 - bad epochs 0
-2018-12-17 04:49:17,506 TEST : loss 0.16473101 - f-score 0.9540 - acc 0.9540
-2018-12-17 04:49:17,507 ----------------------------------------------------------------------------------------------------
-2018-12-17 04:49:17,854 epoch 47 - iter 0/6098 - loss 0.24872750
-2018-12-17 04:51:21,904 epoch 47 - iter 609/6098 - loss 0.20610505
-2018-12-17 04:53:27,953 epoch 47 - iter 1218/6098 - loss 0.20662211
-2018-12-17 04:55:36,356 epoch 47 - iter 1827/6098 - loss 0.20825408
-2018-12-17 04:57:45,674 epoch 47 - iter 2436/6098 - loss 0.20844956
-2018-12-17 04:59:52,823 epoch 47 - iter 3045/6098 - loss 0.20834324
-2018-12-17 05:02:00,332 epoch 47 - iter 3654/6098 - loss 0.20821482
-2018-12-17 05:04:08,237 epoch 47 - iter 4263/6098 - loss 0.20810239
-2018-12-17 05:06:14,279 epoch 47 - iter 4872/6098 - loss 0.20832694
-2018-12-17 05:08:22,431 epoch 47 - iter 5481/6098 - loss 0.20854015
-2018-12-17 05:10:28,773 epoch 47 - iter 6090/6098 - loss 0.20888218
-2018-12-17 05:10:30,161 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:10:30,162 EPOCH 47 done: loss 0.2089 - lr 0.1000 - bad epochs 1
-2018-12-17 05:12:43,334 TEST : loss 0.16263421 - f-score 0.9538 - acc 0.9538
-2018-12-17 05:12:43,335 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:12:43,660 epoch 48 - iter 0/6098 - loss 0.21650502
-2018-12-17 05:14:51,714 epoch 48 - iter 609/6098 - loss 0.20960012
-2018-12-17 05:16:58,697 epoch 48 - iter 1218/6098 - loss 0.20898520
-2018-12-17 05:19:06,422 epoch 48 - iter 1827/6098 - loss 0.20849477
-2018-12-17 05:21:14,008 epoch 48 - iter 2436/6098 - loss 0.20787306
-2018-12-17 05:23:19,641 epoch 48 - iter 3045/6098 - loss 0.20739084
-2018-12-17 05:25:25,178 epoch 48 - iter 3654/6098 - loss 0.20759165
-2018-12-17 05:27:33,087 epoch 48 - iter 4263/6098 - loss 0.20732527
-2018-12-17 05:29:41,853 epoch 48 - iter 4872/6098 - loss 0.20739688
-2018-12-17 05:31:47,021 epoch 48 - iter 5481/6098 - loss 0.20794040
-2018-12-17 05:33:56,379 epoch 48 - iter 6090/6098 - loss 0.20811665
-2018-12-17 05:33:57,877 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:33:57,877 EPOCH 48 done: loss 0.2081 - lr 0.1000 - bad epochs 0
-2018-12-17 05:36:11,248 TEST : loss 0.16400366 - f-score 0.9534 - acc 0.9534
-2018-12-17 05:36:11,249 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:36:11,614 epoch 49 - iter 0/6098 - loss 0.18005253
-2018-12-17 05:38:22,018 epoch 49 - iter 609/6098 - loss 0.20497670
-2018-12-17 05:40:28,954 epoch 49 - iter 1218/6098 - loss 0.20303649
-2018-12-17 05:42:39,103 epoch 49 - iter 1827/6098 - loss 0.20452638
-2018-12-17 05:44:49,494 epoch 49 - iter 2436/6098 - loss 0.20565220
-2018-12-17 05:46:55,244 epoch 49 - iter 3045/6098 - loss 0.20561337
-2018-12-17 05:49:01,235 epoch 49 - iter 3654/6098 - loss 0.20555192
-2018-12-17 05:51:06,855 epoch 49 - iter 4263/6098 - loss 0.20660864
-2018-12-17 05:53:13,824 epoch 49 - iter 4872/6098 - loss 0.20723020
-2018-12-17 05:55:23,307 epoch 49 - iter 5481/6098 - loss 0.20712890
-2018-12-17 05:57:32,411 epoch 49 - iter 6090/6098 - loss 0.20738935
-2018-12-17 05:57:33,783 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:57:33,783 EPOCH 49 done: loss 0.2074 - lr 0.1000 - bad epochs 0
-2018-12-17 05:59:47,147 TEST : loss 0.16229974 - f-score 0.9544 - acc 0.9544
-2018-12-17 05:59:47,148 ----------------------------------------------------------------------------------------------------
-2018-12-17 05:59:47,547 epoch 50 - iter 0/6098 - loss 0.20630820
-2018-12-17 06:01:55,966 epoch 50 - iter 609/6098 - loss 0.20350520
-2018-12-17 06:04:05,204 epoch 50 - iter 1218/6098 - loss 0.20104001
-2018-12-17 06:06:11,236 epoch 50 - iter 1827/6098 - loss 0.20317277
-2018-12-17 06:08:20,303 epoch 50 - iter 2436/6098 - loss 0.20372863
-2018-12-17 06:10:25,023 epoch 50 - iter 3045/6098 - loss 0.20390736
-2018-12-17 06:12:31,564 epoch 50 - iter 3654/6098 - loss 0.20465859
-2018-12-17 06:14:40,334 epoch 50 - iter 4263/6098 - loss 0.20509383
-2018-12-17 06:16:46,699 epoch 50 - iter 4872/6098 - loss 0.20486184
-2018-12-17 06:18:56,109 epoch 50 - iter 5481/6098 - loss 0.20486414
-2018-12-17 06:21:03,918 epoch 50 - iter 6090/6098 - loss 0.20519032
-2018-12-17 06:21:05,337 ----------------------------------------------------------------------------------------------------
-2018-12-17 06:21:05,337 EPOCH 50 done: loss 0.2051 - lr 0.1000 - bad epochs 0
-2018-12-17 06:23:19,557 TEST : loss 0.16255759 - f-score 0.9545 - acc 0.9545
-2018-12-17 06:23:19,558 ----------------------------------------------------------------------------------------------------
-2018-12-17 06:23:19,906 epoch 51 - iter 0/6098 - loss 0.16371699
-2018-12-17 06:25:27,382 epoch 51 - iter 609/6098 - loss 0.20369470
-2018-12-17 06:27:35,179 epoch 51 - iter 1218/6098 - loss 0.20213077
-2018-12-17 06:29:41,867 epoch 51 - iter 1827/6098 - loss 0.20265520
-2018-12-17 06:31:48,898 epoch 51 - iter 2436/6098 - loss 0.20377592
-2018-12-17 06:33:55,565 epoch 51 - iter 3045/6098 - loss 0.20560599
-2018-12-17 06:36:04,922 epoch 51 - iter 3654/6098 - loss 0.20399226
-2018-12-17 06:38:13,253 epoch 51 - iter 4263/6098 - loss 0.20433446
-2018-12-17 06:40:19,666 epoch 51 - iter 4872/6098 - loss 0.20423280
-2018-12-17 06:42:26,121 epoch 51 - iter 5481/6098 - loss 0.20451678
-2018-12-17 06:44:32,572 epoch 51 - iter 6090/6098 - loss 0.20549230
-2018-12-17 06:44:33,889 ----------------------------------------------------------------------------------------------------
-2018-12-17 06:44:33,890 EPOCH 51 done: loss 0.2055 - lr 0.1000 - bad epochs 0
-2018-12-17 06:46:47,434 TEST : loss 0.16377881 - f-score 0.9542 - acc 0.9542
-2018-12-17 06:46:47,435 ----------------------------------------------------------------------------------------------------
-2018-12-17 06:46:47,892 epoch 52 - iter 0/6098 - loss 0.30739057
-2018-12-17 06:48:55,965 epoch 52 - iter 609/6098 - loss 0.20368877
-2018-12-17 06:51:01,472 epoch 52 - iter 1218/6098 - loss 0.20386539
-2018-12-17 06:53:08,229 epoch 52 - iter 1827/6098 - loss 0.20527298
-2018-12-17 06:55:16,894 epoch 52 - iter 2436/6098 - loss 0.20596226
-2018-12-17 06:57:27,322 epoch 52 - iter 3045/6098 - loss 0.20582580
-2018-12-17 06:59:32,940 epoch 52 - iter 3654/6098 - loss 0.20560795
-2018-12-17 07:01:40,510 epoch 52 - iter 4263/6098 - loss 0.20559031
-2018-12-17 07:03:48,014 epoch 52 - iter 4872/6098 - loss 0.20532314
-2018-12-17 07:06:06,555 epoch 52 - iter 5481/6098 - loss 0.20559167
-2018-12-17 07:08:15,298 epoch 52 - iter 6090/6098 - loss 0.20556290
-2018-12-17 07:08:16,800 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:08:16,801 EPOCH 52 done: loss 0.2055 - lr 0.1000 - bad epochs 1
-2018-12-17 07:10:30,569 TEST : loss 0.16365550 - f-score 0.9541 - acc 0.9541
-2018-12-17 07:10:30,570 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:10:30,973 epoch 53 - iter 0/6098 - loss 0.14627089
-2018-12-17 07:12:39,849 epoch 53 - iter 609/6098 - loss 0.20044457
-2018-12-17 07:14:49,169 epoch 53 - iter 1218/6098 - loss 0.20248707
-2018-12-17 07:16:54,033 epoch 53 - iter 1827/6098 - loss 0.20162473
-2018-12-17 07:19:02,398 epoch 53 - iter 2436/6098 - loss 0.20149618
-2018-12-17 07:21:09,665 epoch 53 - iter 3045/6098 - loss 0.20231279
-2018-12-17 07:23:17,103 epoch 53 - iter 3654/6098 - loss 0.20249773
-2018-12-17 07:25:24,619 epoch 53 - iter 4263/6098 - loss 0.20189255
-2018-12-17 07:27:31,675 epoch 53 - iter 4872/6098 - loss 0.20210133
-2018-12-17 07:29:39,667 epoch 53 - iter 5481/6098 - loss 0.20199043
-2018-12-17 07:31:45,400 epoch 53 - iter 6090/6098 - loss 0.20223556
-2018-12-17 07:31:46,673 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:31:46,673 EPOCH 53 done: loss 0.2022 - lr 0.1000 - bad epochs 2
-2018-12-17 07:34:01,377 TEST : loss 0.16402306 - f-score 0.9545 - acc 0.9545
-2018-12-17 07:34:01,378 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:34:01,749 epoch 54 - iter 0/6098 - loss 0.15386504
-2018-12-17 07:36:07,929 epoch 54 - iter 609/6098 - loss 0.20226566
-2018-12-17 07:38:15,579 epoch 54 - iter 1218/6098 - loss 0.20244605
-2018-12-17 07:40:21,798 epoch 54 - iter 1827/6098 - loss 0.20239593
-2018-12-17 07:42:28,984 epoch 54 - iter 2436/6098 - loss 0.20373995
-2018-12-17 07:44:37,376 epoch 54 - iter 3045/6098 - loss 0.20437667
-2018-12-17 07:46:46,180 epoch 54 - iter 3654/6098 - loss 0.20371926
-2018-12-17 07:48:55,815 epoch 54 - iter 4263/6098 - loss 0.20377678
-2018-12-17 07:51:04,675 epoch 54 - iter 4872/6098 - loss 0.20353761
-2018-12-17 07:53:09,455 epoch 54 - iter 5481/6098 - loss 0.20318164
-2018-12-17 07:55:17,569 epoch 54 - iter 6090/6098 - loss 0.20347974
-2018-12-17 07:55:19,022 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:55:19,022 EPOCH 54 done: loss 0.2035 - lr 0.1000 - bad epochs 0
-2018-12-17 07:57:33,163 TEST : loss 0.15939651 - f-score 0.9550 - acc 0.9550
-2018-12-17 07:57:33,164 ----------------------------------------------------------------------------------------------------
-2018-12-17 07:57:33,589 epoch 55 - iter 0/6098 - loss 0.16840699
-2018-12-17 07:59:38,546 epoch 55 - iter 609/6098 - loss 0.19776834
-2018-12-17 08:01:46,567 epoch 55 - iter 1218/6098 - loss 0.19754526
-2018-12-17 08:03:52,725 epoch 55 - iter 1827/6098 - loss 0.19808030
-2018-12-17 08:05:59,540 epoch 55 - iter 2436/6098 - loss 0.19967767
-2018-12-17 08:08:05,606 epoch 55 - iter 3045/6098 - loss 0.20055400
-2018-12-17 08:10:11,037 epoch 55 - iter 3654/6098 - loss 0.20151786
-2018-12-17 08:12:16,326 epoch 55 - iter 4263/6098 - loss 0.20169883
-2018-12-17 08:14:25,154 epoch 55 - iter 4872/6098 - loss 0.20211044
-2018-12-17 08:16:34,022 epoch 55 - iter 5481/6098 - loss 0.20182230
-2018-12-17 08:18:39,614 epoch 55 - iter 6090/6098 - loss 0.20221334
-2018-12-17 08:18:40,987 ----------------------------------------------------------------------------------------------------
-2018-12-17 08:18:40,988 EPOCH 55 done: loss 0.2022 - lr 0.1000 - bad epochs 1
-2018-12-17 08:20:55,675 TEST : loss 0.16100807 - f-score 0.9547 - acc 0.9547
-2018-12-17 08:20:55,676 ----------------------------------------------------------------------------------------------------
-2018-12-17 08:20:56,016 epoch 56 - iter 0/6098 - loss 0.11776011
-2018-12-17 08:23:03,165 epoch 56 - iter 609/6098 - loss 0.20054215
-2018-12-17 08:25:10,191 epoch 56 - iter 1218/6098 - loss 0.20290174
-2018-12-17 08:27:16,816 epoch 56 - iter 1827/6098 - loss 0.20174139
-2018-12-17 08:29:26,685 epoch 56 - iter 2436/6098 - loss 0.20106915
-2018-12-17 08:31:34,990 epoch 56 - iter 3045/6098 - loss 0.20154326
-2018-12-17 08:33:41,020 epoch 56 - iter 3654/6098 - loss 0.20119538
-2018-12-17 08:35:45,561 epoch 56 - iter 4263/6098 - loss 0.20214823
-2018-12-17 08:37:51,375 epoch 56 - iter 4872/6098 - loss 0.20174509
-2018-12-17 08:39:58,861 epoch 56 - iter 5481/6098 - loss 0.20203657
-2018-12-17 08:42:04,559 epoch 56 - iter 6090/6098 - loss 0.20190966
-2018-12-17 08:42:05,999 ----------------------------------------------------------------------------------------------------
-2018-12-17 08:42:06,000 EPOCH 56 done: loss 0.2020 - lr 0.1000 - bad epochs 0
-2018-12-17 08:44:21,441 TEST : loss 0.16331661 - f-score 0.9548 - acc 0.9548
-2018-12-17 08:44:21,442 ----------------------------------------------------------------------------------------------------
-2018-12-17 08:44:21,818 epoch 57 - iter 0/6098 - loss 0.10287252
-2018-12-17 08:46:32,439 epoch 57 - iter 609/6098 - loss 0.19501693
-2018-12-17 08:48:44,734 epoch 57 - iter 1218/6098 - loss 0.19715218
-2018-12-17 08:50:53,540 epoch 57 - iter 1827/6098 - loss 0.19873636
-2018-12-17 08:53:00,381 epoch 57 - iter 2436/6098 - loss 0.19902240
-2018-12-17 08:55:07,907 epoch 57 - iter 3045/6098 - loss 0.19968451
-2018-12-17 08:57:16,617 epoch 57 - iter 3654/6098 - loss 0.20037364
-2018-12-17 08:59:24,196 epoch 57 - iter 4263/6098 - loss 0.20045758
-2018-12-17 09:01:30,630 epoch 57 - iter 4872/6098 - loss 0.20047121
-2018-12-17 09:03:36,567 epoch 57 - iter 5481/6098 - loss 0.20107887
-2018-12-17 09:05:41,909 epoch 57 - iter 6090/6098 - loss 0.20102099
-2018-12-17 09:05:43,235 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:05:43,235 EPOCH 57 done: loss 0.2010 - lr 0.1000 - bad epochs 0
-2018-12-17 09:07:58,401 TEST : loss 0.16307348 - f-score 0.9549 - acc 0.9549
-2018-12-17 09:07:58,402 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:07:58,770 epoch 58 - iter 0/6098 - loss 0.12849383
-2018-12-17 09:10:06,501 epoch 58 - iter 609/6098 - loss 0.19479147
-2018-12-17 09:12:13,754 epoch 58 - iter 1218/6098 - loss 0.19773902
-2018-12-17 09:14:20,356 epoch 58 - iter 1827/6098 - loss 0.19871626
-2018-12-17 09:16:27,329 epoch 58 - iter 2436/6098 - loss 0.19779649
-2018-12-17 09:18:34,297 epoch 58 - iter 3045/6098 - loss 0.19856134
-2018-12-17 09:20:40,442 epoch 58 - iter 3654/6098 - loss 0.19896930
-2018-12-17 09:22:47,570 epoch 58 - iter 4263/6098 - loss 0.19930882
-2018-12-17 09:24:54,667 epoch 58 - iter 4872/6098 - loss 0.19961124
-2018-12-17 09:27:02,380 epoch 58 - iter 5481/6098 - loss 0.19985007
-2018-12-17 09:29:10,694 epoch 58 - iter 6090/6098 - loss 0.20034587
-2018-12-17 09:29:12,135 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:29:12,135 EPOCH 58 done: loss 0.2003 - lr 0.1000 - bad epochs 0
-2018-12-17 09:31:27,472 TEST : loss 0.15837112 - f-score 0.9554 - acc 0.9554
-2018-12-17 09:31:27,473 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:31:28,009 epoch 59 - iter 0/6098 - loss 0.42156816
-2018-12-17 09:33:34,668 epoch 59 - iter 609/6098 - loss 0.19605010
-2018-12-17 09:35:52,068 epoch 59 - iter 1218/6098 - loss 0.19516951
-2018-12-17 09:37:58,784 epoch 59 - iter 1827/6098 - loss 0.19722837
-2018-12-17 09:40:08,673 epoch 59 - iter 2436/6098 - loss 0.19751262
-2018-12-17 09:42:16,811 epoch 59 - iter 3045/6098 - loss 0.19795330
-2018-12-17 09:44:24,717 epoch 59 - iter 3654/6098 - loss 0.19848281
-2018-12-17 09:46:33,315 epoch 59 - iter 4263/6098 - loss 0.19919522
-2018-12-17 09:48:40,175 epoch 59 - iter 4872/6098 - loss 0.19948792
-2018-12-17 09:50:48,471 epoch 59 - iter 5481/6098 - loss 0.20010932
-2018-12-17 09:52:52,625 epoch 59 - iter 6090/6098 - loss 0.20041017
-2018-12-17 09:52:54,173 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:52:54,173 EPOCH 59 done: loss 0.2004 - lr 0.1000 - bad epochs 0
-2018-12-17 09:55:07,348 TEST : loss 0.15723246 - f-score 0.9555 - acc 0.9555
-2018-12-17 09:55:07,349 ----------------------------------------------------------------------------------------------------
-2018-12-17 09:55:07,727 epoch 60 - iter 0/6098 - loss 0.23478092
-2018-12-17 09:57:13,147 epoch 60 - iter 609/6098 - loss 0.19566761
-2018-12-17 09:59:19,982 epoch 60 - iter 1218/6098 - loss 0.19657822
-2018-12-17 10:01:27,678 epoch 60 - iter 1827/6098 - loss 0.19760266
-2018-12-17 10:03:34,831 epoch 60 - iter 2436/6098 - loss 0.19801336
-2018-12-17 10:05:44,468 epoch 60 - iter 3045/6098 - loss 0.19826525
-2018-12-17 10:07:50,688 epoch 60 - iter 3654/6098 - loss 0.19853877
-2018-12-17 10:09:57,541 epoch 60 - iter 4263/6098 - loss 0.19846797
-2018-12-17 10:12:05,754 epoch 60 - iter 4872/6098 - loss 0.19853791
-2018-12-17 10:14:14,454 epoch 60 - iter 5481/6098 - loss 0.19877663
-2018-12-17 10:16:20,398 epoch 60 - iter 6090/6098 - loss 0.19886893
-2018-12-17 10:16:21,936 ----------------------------------------------------------------------------------------------------
-2018-12-17 10:16:21,936 EPOCH 60 done: loss 0.1989 - lr 0.1000 - bad epochs 1
-2018-12-17 10:18:35,203 TEST : loss 0.15876020 - f-score 0.9559 - acc 0.9559
-2018-12-17 10:18:35,204 ----------------------------------------------------------------------------------------------------
-2018-12-17 10:18:35,596 epoch 61 - iter 0/6098 - loss 0.12510948
-2018-12-17 10:20:43,137 epoch 61 - iter 609/6098 - loss 0.19942378
-2018-12-17 10:22:52,063 epoch 61 - iter 1218/6098 - loss 0.19699462
-2018-12-17 10:24:59,224 epoch 61 - iter 1827/6098 - loss 0.19567313
-2018-12-17 10:27:05,042 epoch 61 - iter 2436/6098 - loss 0.19528915
-2018-12-17 10:29:11,915 epoch 61 - iter 3045/6098 - loss 0.19607489
-2018-12-17 10:31:18,798 epoch 61 - iter 3654/6098 - loss 0.19622822
-2018-12-17 10:33:25,241 epoch 61 - iter 4263/6098 - loss 0.19603134
-2018-12-17 10:35:31,393 epoch 61 - iter 4872/6098 - loss 0.19680582
-2018-12-17 10:37:39,373 epoch 61 - iter 5481/6098 - loss 0.19668564
-2018-12-17 10:39:45,452 epoch 61 - iter 6090/6098 - loss 0.19691941
-2018-12-17 10:39:47,239 ----------------------------------------------------------------------------------------------------
-2018-12-17 10:39:47,239 EPOCH 61 done: loss 0.1969 - lr 0.1000 - bad epochs 0
-2018-12-17 10:42:00,784 TEST : loss 0.15996435 - f-score 0.9562 - acc 0.9562
-2018-12-17 10:42:00,785 ----------------------------------------------------------------------------------------------------
-2018-12-17 10:42:01,146 epoch 62 - iter 0/6098 - loss 0.20901299
-2018-12-17 10:44:08,167 epoch 62 - iter 609/6098 - loss 0.19914489
-2018-12-17 10:46:15,337 epoch 62 - iter 1218/6098 - loss 0.19782572
-2018-12-17 10:48:21,197 epoch 62 - iter 1827/6098 - loss 0.19714634
-2018-12-17 10:50:29,099 epoch 62 - iter 2436/6098 - loss 0.19712380
-2018-12-17 10:52:36,254 epoch 62 - iter 3045/6098 - loss 0.19676049
-2018-12-17 10:54:43,845 epoch 62 - iter 3654/6098 - loss 0.19732318
-2018-12-17 10:56:50,820 epoch 62 - iter 4263/6098 - loss 0.19706015
-2018-12-17 10:58:58,955 epoch 62 - iter 4872/6098 - loss 0.19740632
-2018-12-17 11:01:03,611 epoch 62 - iter 5481/6098 - loss 0.19752254
-2018-12-17 11:03:12,602 epoch 62 - iter 6090/6098 - loss 0.19755465
-2018-12-17 11:03:14,511 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:03:14,511 EPOCH 62 done: loss 0.1975 - lr 0.1000 - bad epochs 0
-2018-12-17 11:05:28,162 TEST : loss 0.16303997 - f-score 0.9560 - acc 0.9560
-2018-12-17 11:05:28,163 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:05:28,550 epoch 63 - iter 0/6098 - loss 0.16699977
-2018-12-17 11:07:34,795 epoch 63 - iter 609/6098 - loss 0.19598673
-2018-12-17 11:09:41,475 epoch 63 - iter 1218/6098 - loss 0.19657641
-2018-12-17 11:11:48,620 epoch 63 - iter 1827/6098 - loss 0.19612143
-2018-12-17 11:13:55,804 epoch 63 - iter 2436/6098 - loss 0.19664568
-2018-12-17 11:16:01,695 epoch 63 - iter 3045/6098 - loss 0.19712246
-2018-12-17 11:18:08,564 epoch 63 - iter 3654/6098 - loss 0.19741678
-2018-12-17 11:20:15,993 epoch 63 - iter 4263/6098 - loss 0.19796995
-2018-12-17 11:22:24,874 epoch 63 - iter 4872/6098 - loss 0.19780532
-2018-12-17 11:24:33,602 epoch 63 - iter 5481/6098 - loss 0.19781231
-2018-12-17 11:26:42,912 epoch 63 - iter 6090/6098 - loss 0.19764291
-2018-12-17 11:26:44,305 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:26:44,306 EPOCH 63 done: loss 0.1976 - lr 0.1000 - bad epochs 1
-2018-12-17 11:28:57,909 TEST : loss 0.15864716 - f-score 0.9562 - acc 0.9562
-2018-12-17 11:28:57,911 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:28:58,296 epoch 64 - iter 0/6098 - loss 0.18198071
-2018-12-17 11:31:06,863 epoch 64 - iter 609/6098 - loss 0.19144590
-2018-12-17 11:33:15,492 epoch 64 - iter 1218/6098 - loss 0.19554581
-2018-12-17 11:35:22,700 epoch 64 - iter 1827/6098 - loss 0.19620915
-2018-12-17 11:37:30,426 epoch 64 - iter 2436/6098 - loss 0.19602813
-2018-12-17 11:39:37,415 epoch 64 - iter 3045/6098 - loss 0.19600658
-2018-12-17 11:41:46,443 epoch 64 - iter 3654/6098 - loss 0.19609751
-2018-12-17 11:43:55,604 epoch 64 - iter 4263/6098 - loss 0.19574457
-2018-12-17 11:46:01,625 epoch 64 - iter 4872/6098 - loss 0.19618972
-2018-12-17 11:48:08,979 epoch 64 - iter 5481/6098 - loss 0.19630040
-2018-12-17 11:50:15,385 epoch 64 - iter 6090/6098 - loss 0.19645140
-2018-12-17 11:50:16,593 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:50:16,593 EPOCH 64 done: loss 0.1965 - lr 0.1000 - bad epochs 2
-2018-12-17 11:52:29,852 TEST : loss 0.15902929 - f-score 0.9561 - acc 0.9561
-2018-12-17 11:52:29,853 ----------------------------------------------------------------------------------------------------
-2018-12-17 11:52:30,202 epoch 65 - iter 0/6098 - loss 0.17273599
-2018-12-17 11:54:38,583 epoch 65 - iter 609/6098 - loss 0.19406956
-2018-12-17 11:56:45,393 epoch 65 - iter 1218/6098 - loss 0.19457085
-2018-12-17 11:58:51,172 epoch 65 - iter 1827/6098 - loss 0.19585082
-2018-12-17 12:00:58,350 epoch 65 - iter 2436/6098 - loss 0.19525809
-2018-12-17 12:03:09,451 epoch 65 - iter 3045/6098 - loss 0.19459018
-2018-12-17 12:05:16,435 epoch 65 - iter 3654/6098 - loss 0.19393682
-2018-12-17 12:07:23,078 epoch 65 - iter 4263/6098 - loss 0.19391275
-2018-12-17 12:09:31,110 epoch 65 - iter 4872/6098 - loss 0.19379053
-2018-12-17 12:11:36,182 epoch 65 - iter 5481/6098 - loss 0.19432076
-2018-12-17 12:13:42,420 epoch 65 - iter 6090/6098 - loss 0.19478340
-2018-12-17 12:13:43,950 ----------------------------------------------------------------------------------------------------
-2018-12-17 12:13:43,950 EPOCH 65 done: loss 0.1948 - lr 0.1000 - bad epochs 0
-2018-12-17 12:16:10,467 TEST : loss 0.15790166 - f-score 0.9568 - acc 0.9568
-2018-12-17 12:16:10,468 ----------------------------------------------------------------------------------------------------
-2018-12-17 12:16:10,814 epoch 66 - iter 0/6098 - loss 0.15147604
-2018-12-17 12:18:19,040 epoch 66 - iter 609/6098 - loss 0.19037745
-2018-12-17 12:20:29,199 epoch 66 - iter 1218/6098 - loss 0.19176751
-2018-12-17 12:22:34,726 epoch 66 - iter 1827/6098 - loss 0.19177723
-2018-12-17 12:24:38,921 epoch 66 - iter 2436/6098 - loss 0.19276958
-2018-12-17 12:26:42,292 epoch 66 - iter 3045/6098 - loss 0.19271203
-2018-12-17 12:28:52,614 epoch 66 - iter 3654/6098 - loss 0.19330085
-2018-12-17 12:31:01,750 epoch 66 - iter 4263/6098 - loss 0.19383642
-2018-12-17 12:33:10,733 epoch 66 - iter 4872/6098 - loss 0.19421456
-2018-12-17 12:35:17,743 epoch 66 - iter 5481/6098 - loss 0.19469210
-2018-12-17 12:37:25,929 epoch 66 - iter 6090/6098 - loss 0.19466662
-2018-12-17 12:37:27,432 ----------------------------------------------------------------------------------------------------
-2018-12-17 12:37:27,432 EPOCH 66 done: loss 0.1946 - lr 0.1000 - bad epochs 0
-2018-12-17 12:39:43,047 TEST : loss 0.15875715 - f-score 0.9566 - acc 0.9566
-2018-12-17 12:39:43,049 ----------------------------------------------------------------------------------------------------
-2018-12-17 12:39:43,399 epoch 67 - iter 0/6098 - loss 0.22418335
-2018-12-17 12:41:48,558 epoch 67 - iter 609/6098 - loss 0.19571445
-2018-12-17 12:43:57,271 epoch 67 - iter 1218/6098 - loss 0.19539406
-2018-12-17 12:46:05,110 epoch 67 - iter 1827/6098 - loss 0.19428708
-2018-12-17 12:48:14,002 epoch 67 - iter 2436/6098 - loss 0.19448753
-2018-12-17 12:50:20,554 epoch 67 - iter 3045/6098 - loss 0.19454417
-2018-12-17 12:52:27,179 epoch 67 - iter 3654/6098 - loss 0.19531770
-2018-12-17 12:54:34,586 epoch 67 - iter 4263/6098 - loss 0.19526427
-2018-12-17 12:56:43,560 epoch 67 - iter 4872/6098 - loss 0.19536891
-2018-12-17 12:58:52,358 epoch 67 - iter 5481/6098 - loss 0.19555716
-2018-12-17 13:00:59,724 epoch 67 - iter 6090/6098 - loss 0.19548258
-2018-12-17 13:01:01,107 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:01:01,107 EPOCH 67 done: loss 0.1955 - lr 0.1000 - bad epochs 0
-2018-12-17 13:03:14,926 TEST : loss 0.15574223 - f-score 0.9568 - acc 0.9568
-2018-12-17 13:03:14,927 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:03:15,316 epoch 68 - iter 0/6098 - loss 0.21658207
-2018-12-17 13:05:20,900 epoch 68 - iter 609/6098 - loss 0.19317013
-2018-12-17 13:07:27,173 epoch 68 - iter 1218/6098 - loss 0.19485046
-2018-12-17 13:09:32,717 epoch 68 - iter 1827/6098 - loss 0.19426230
-2018-12-17 13:11:40,315 epoch 68 - iter 2436/6098 - loss 0.19317041
-2018-12-17 13:13:47,396 epoch 68 - iter 3045/6098 - loss 0.19302051
-2018-12-17 13:15:53,931 epoch 68 - iter 3654/6098 - loss 0.19295427
-2018-12-17 13:18:01,553 epoch 68 - iter 4263/6098 - loss 0.19348812
-2018-12-17 13:20:08,131 epoch 68 - iter 4872/6098 - loss 0.19420989
-2018-12-17 13:22:15,881 epoch 68 - iter 5481/6098 - loss 0.19392123
-2018-12-17 13:24:24,649 epoch 68 - iter 6090/6098 - loss 0.19474096
-2018-12-17 13:24:26,130 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:24:26,131 EPOCH 68 done: loss 0.1948 - lr 0.1000 - bad epochs 1
-2018-12-17 13:26:40,675 TEST : loss 0.15559696 - f-score 0.9569 - acc 0.9569
-2018-12-17 13:26:40,676 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:26:41,086 epoch 69 - iter 0/6098 - loss 0.18526085
-2018-12-17 13:28:47,484 epoch 69 - iter 609/6098 - loss 0.19346473
-2018-12-17 13:30:52,555 epoch 69 - iter 1218/6098 - loss 0.19155093
-2018-12-17 13:33:00,178 epoch 69 - iter 1827/6098 - loss 0.19296121
-2018-12-17 13:35:07,258 epoch 69 - iter 2436/6098 - loss 0.19320287
-2018-12-17 13:37:12,993 epoch 69 - iter 3045/6098 - loss 0.19280247
-2018-12-17 13:39:21,168 epoch 69 - iter 3654/6098 - loss 0.19305904
-2018-12-17 13:41:29,076 epoch 69 - iter 4263/6098 - loss 0.19333618
-2018-12-17 13:43:37,717 epoch 69 - iter 4872/6098 - loss 0.19363045
-2018-12-17 13:45:46,810 epoch 69 - iter 5481/6098 - loss 0.19396490
-2018-12-17 13:47:53,507 epoch 69 - iter 6090/6098 - loss 0.19439324
-2018-12-17 13:47:54,784 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:47:54,785 EPOCH 69 done: loss 0.1944 - lr 0.1000 - bad epochs 2
-2018-12-17 13:50:07,952 TEST : loss 0.15985976 - f-score 0.9563 - acc 0.9563
-2018-12-17 13:50:07,953 ----------------------------------------------------------------------------------------------------
-2018-12-17 13:50:08,301 epoch 70 - iter 0/6098 - loss 0.14173889
-2018-12-17 13:52:14,913 epoch 70 - iter 609/6098 - loss 0.19173273
-2018-12-17 13:54:21,436 epoch 70 - iter 1218/6098 - loss 0.19019190
-2018-12-17 13:56:29,245 epoch 70 - iter 1827/6098 - loss 0.19194271
-2018-12-17 13:58:33,266 epoch 70 - iter 2436/6098 - loss 0.19240873
-2018-12-17 14:00:40,038 epoch 70 - iter 3045/6098 - loss 0.19215856
-2018-12-17 14:02:48,088 epoch 70 - iter 3654/6098 - loss 0.19274242
-2018-12-17 14:04:58,664 epoch 70 - iter 4263/6098 - loss 0.19299344
-2018-12-17 14:07:05,159 epoch 70 - iter 4872/6098 - loss 0.19330149
-2018-12-17 14:09:10,659 epoch 70 - iter 5481/6098 - loss 0.19361916
-2018-12-17 14:11:16,979 epoch 70 - iter 6090/6098 - loss 0.19371328
-2018-12-17 14:11:18,364 ----------------------------------------------------------------------------------------------------
-2018-12-17 14:11:18,365 EPOCH 70 done: loss 0.1937 - lr 0.1000 - bad epochs 0
-2018-12-17 14:13:32,049 TEST : loss 0.15770875 - f-score 0.9564 - acc 0.9564
-2018-12-17 14:13:32,050 ----------------------------------------------------------------------------------------------------
-2018-12-17 14:13:32,434 epoch 71 - iter 0/6098 - loss 0.11941413
-2018-12-17 14:15:40,010 epoch 71 - iter 609/6098 - loss 0.18528866
-2018-12-17 14:17:45,671 epoch 71 - iter 1218/6098 - loss 0.18819895
-2018-12-17 14:19:53,707 epoch 71 - iter 1827/6098 - loss 0.19053860
-2018-12-17 14:22:00,979 epoch 71 - iter 2436/6098 - loss 0.19008793
-2018-12-17 14:24:07,569 epoch 71 - iter 3045/6098 - loss 0.19007775
-2018-12-17 14:26:17,196 epoch 71 - iter 3654/6098 - loss 0.19071553
-2018-12-17 14:28:24,609 epoch 71 - iter 4263/6098 - loss 0.19085001
-2018-12-17 14:30:30,760 epoch 71 - iter 4872/6098 - loss 0.19115106
-2018-12-17 14:32:37,754 epoch 71 - iter 5481/6098 - loss 0.19150666
-2018-12-17 14:34:44,798 epoch 71 - iter 6090/6098 - loss 0.19185940
-2018-12-17 14:34:46,106 ----------------------------------------------------------------------------------------------------
-2018-12-17 14:34:46,106 EPOCH 71 done: loss 0.1918 - lr 0.1000 - bad epochs 0
-2018-12-17 14:36:59,913 TEST : loss 0.15518941 - f-score 0.9576 - acc 0.9576
-2018-12-17 14:36:59,914 ----------------------------------------------------------------------------------------------------
-2018-12-17 14:37:00,363 epoch 72 - iter 0/6098 - loss 0.12558925
-2018-12-17 14:39:08,031 epoch 72 - iter 609/6098 - loss 0.19224674
-2018-12-17 14:41:14,003 epoch 72 - iter 1218/6098 - loss 0.19153469
-2018-12-17 14:43:33,561 epoch 72 - iter 1827/6098 - loss 0.19181317
-2018-12-17 14:45:40,251 epoch 72 - iter 2436/6098 - loss 0.19054020
-2018-12-17 14:47:47,895 epoch 72 - iter 3045/6098 - loss 0.19176645
-2018-12-17 14:49:55,004 epoch 72 - iter 3654/6098 - loss 0.19151755
-2018-12-17 14:52:02,147 epoch 72 - iter 4263/6098 - loss 0.19151343
-2018-12-17 14:54:07,489 epoch 72 - iter 4872/6098 - loss 0.19230575
-2018-12-17 14:56:16,222 epoch 72 - iter 5481/6098 - loss 0.19256790
-2018-12-17 14:58:25,064 epoch 72 - iter 6090/6098 - loss 0.19286093
-2018-12-17 14:58:26,503 ----------------------------------------------------------------------------------------------------
-2018-12-17 14:58:26,503 EPOCH 72 done: loss 0.1929 - lr 0.1000 - bad epochs 0
-2018-12-17 15:00:41,725 TEST : loss 0.15769517 - f-score 0.9572 - acc 0.9572
-2018-12-17 15:00:41,726 ----------------------------------------------------------------------------------------------------
-2018-12-17 15:00:42,114 epoch 73 - iter 0/6098 - loss 0.23280340
-2018-12-17 15:02:49,349 epoch 73 - iter 609/6098 - loss 0.19170556
-2018-12-17 15:04:59,894 epoch 73 - iter 1218/6098 - loss 0.18972314
-2018-12-17 15:07:06,676 epoch 73 - iter 1827/6098 - loss 0.19055854
-2018-12-17 15:09:13,618 epoch 73 - iter 2436/6098 - loss 0.19044996
-2018-12-17 15:11:18,909 epoch 73 - iter 3045/6098 - loss 0.19190479
-2018-12-17 15:13:23,895 epoch 73 - iter 3654/6098 - loss 0.19160169
-2018-12-17 15:15:29,998 epoch 73 - iter 4263/6098 - loss 0.19126243
-2018-12-17 15:17:37,011 epoch 73 - iter 4872/6098 - loss 0.19140764
-2018-12-17 15:19:42,474 epoch 73 - iter 5481/6098 - loss 0.19107432
-2018-12-17 15:21:51,110 epoch 73 - iter 6090/6098 - loss 0.19142123
-2018-12-17 15:21:52,491 ----------------------------------------------------------------------------------------------------
-2018-12-17 15:21:52,491 EPOCH 73 done: loss 0.1914 - lr 0.1000 - bad epochs 1
-2018-12-17 15:24:07,739 TEST : loss 0.15549292 - f-score 0.9576 - acc 0.9576
-2018-12-17 15:24:07,740 ----------------------------------------------------------------------------------------------------
-2018-12-17 15:24:08,204 epoch 74 - iter 0/6098 - loss 0.28186369
-2018-12-17 15:26:15,739 epoch 74 - iter 609/6098 - loss 0.19261007
-2018-12-17 15:28:24,577 epoch 74 - iter 1218/6098 - loss 0.18781243
-2018-12-17 15:30:34,215 epoch 74 - iter 1827/6098 - loss 0.19029048
-2018-12-17 15:32:40,217 epoch 74 - iter 2436/6098 - loss 0.19071047
-2018-12-17 15:34:47,154 epoch 74 - iter 3045/6098 - loss 0.19095776
-2018-12-17 15:36:54,265 epoch 74 - iter 3654/6098 - loss 0.19096125
-2018-12-17 15:39:01,925 epoch 74 - iter 4263/6098 - loss 0.19098853
-2018-12-17 15:41:10,325 epoch 74 - iter 4872/6098 - loss 0.19120804
-2018-12-17 15:43:16,430 epoch 74 - iter 5481/6098 - loss 0.19103173
-2018-12-17 15:45:22,098 epoch 74 - iter 6090/6098 - loss 0.19041336
-2018-12-17 15:45:23,619 ----------------------------------------------------------------------------------------------------
-2018-12-17 15:45:23,619 EPOCH 74 done: loss 0.1904 - lr 0.1000 - bad epochs 0
-2018-12-17 15:47:38,776 TEST : loss 0.15580441 - f-score 0.9570 - acc 0.9570
-2018-12-17 15:47:38,777 ----------------------------------------------------------------------------------------------------
-2018-12-17 15:47:39,116 epoch 75 - iter 0/6098 - loss 0.18579559
-2018-12-17 15:49:46,694 epoch 75 - iter 609/6098 - loss 0.18458113
-2018-12-17 15:51:53,872 epoch 75 - iter 1218/6098 - loss 0.18776345
-2018-12-17 15:54:01,398 epoch 75 - iter 1827/6098 - loss 0.18980615
-2018-12-17 15:56:08,897 epoch 75 - iter 2436/6098 - loss 0.19045792
-2018-12-17 15:58:15,715 epoch 75 - iter 3045/6098 - loss 0.19007073
-2018-12-17 16:00:24,112 epoch 75 - iter 3654/6098 - loss 0.19023316
-2018-12-17 16:02:32,430 epoch 75 - iter 4263/6098 - loss 0.18959197
-2018-12-17 16:04:39,890 epoch 75 - iter 4872/6098 - loss 0.18963355
-2018-12-17 16:06:48,107 epoch 75 - iter 5481/6098 - loss 0.18977453
-2018-12-17 16:08:52,469 epoch 75 - iter 6090/6098 - loss 0.19051887
-2018-12-17 16:08:54,074 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:08:54,074 EPOCH 75 done: loss 0.1905 - lr 0.1000 - bad epochs 0
-2018-12-17 16:11:07,925 TEST : loss 0.15642822 - f-score 0.9571 - acc 0.9571
-2018-12-17 16:11:07,926 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:11:08,292 epoch 76 - iter 0/6098 - loss 0.22300889
-2018-12-17 16:13:15,017 epoch 76 - iter 609/6098 - loss 0.18891961
-2018-12-17 16:15:20,394 epoch 76 - iter 1218/6098 - loss 0.18691866
-2018-12-17 16:17:31,421 epoch 76 - iter 1827/6098 - loss 0.18875903
-2018-12-17 16:19:37,589 epoch 76 - iter 2436/6098 - loss 0.18863009
-2018-12-17 16:21:44,252 epoch 76 - iter 3045/6098 - loss 0.19089445
-2018-12-17 16:23:50,103 epoch 76 - iter 3654/6098 - loss 0.19024832
-2018-12-17 16:25:56,540 epoch 76 - iter 4263/6098 - loss 0.19006712
-2018-12-17 16:28:02,731 epoch 76 - iter 4872/6098 - loss 0.19005111
-2018-12-17 16:30:09,264 epoch 76 - iter 5481/6098 - loss 0.19037835
-2018-12-17 16:32:19,091 epoch 76 - iter 6090/6098 - loss 0.19030459
-2018-12-17 16:32:20,585 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:32:20,585 EPOCH 76 done: loss 0.1903 - lr 0.1000 - bad epochs 1
-2018-12-17 16:34:34,695 TEST : loss 0.15538916 - f-score 0.9572 - acc 0.9572
-2018-12-17 16:34:34,696 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:34:35,195 epoch 77 - iter 0/6098 - loss 0.30106923
-2018-12-17 16:36:42,431 epoch 77 - iter 609/6098 - loss 0.18623811
-2018-12-17 16:38:50,057 epoch 77 - iter 1218/6098 - loss 0.19124453
-2018-12-17 16:40:59,399 epoch 77 - iter 1827/6098 - loss 0.18967399
-2018-12-17 16:43:09,809 epoch 77 - iter 2436/6098 - loss 0.18908643
-2018-12-17 16:45:16,303 epoch 77 - iter 3045/6098 - loss 0.19065504
-2018-12-17 16:47:24,251 epoch 77 - iter 3654/6098 - loss 0.19102094
-2018-12-17 16:49:32,511 epoch 77 - iter 4263/6098 - loss 0.19048208
-2018-12-17 16:51:37,871 epoch 77 - iter 4872/6098 - loss 0.19015903
-2018-12-17 16:53:45,785 epoch 77 - iter 5481/6098 - loss 0.19063487
-2018-12-17 16:55:56,657 epoch 77 - iter 6090/6098 - loss 0.19065235
-2018-12-17 16:55:57,935 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:55:57,936 EPOCH 77 done: loss 0.1907 - lr 0.1000 - bad epochs 0
-2018-12-17 16:58:12,253 TEST : loss 0.15707651 - f-score 0.9573 - acc 0.9573
-2018-12-17 16:58:12,254 ----------------------------------------------------------------------------------------------------
-2018-12-17 16:58:12,608 epoch 78 - iter 0/6098 - loss 0.16168988
-2018-12-17 17:00:22,153 epoch 78 - iter 609/6098 - loss 0.18347277
-2018-12-17 17:02:34,931 epoch 78 - iter 1218/6098 - loss 0.18556565
-2018-12-17 17:04:42,389 epoch 78 - iter 1827/6098 - loss 0.18651000
-2018-12-17 17:06:51,365 epoch 78 - iter 2436/6098 - loss 0.18688965
-2018-12-17 17:08:59,071 epoch 78 - iter 3045/6098 - loss 0.18813987
-2018-12-17 17:11:08,448 epoch 78 - iter 3654/6098 - loss 0.18869107
-2018-12-17 17:13:16,750 epoch 78 - iter 4263/6098 - loss 0.18915866
-2018-12-17 17:15:24,169 epoch 78 - iter 4872/6098 - loss 0.18929232
-2018-12-17 17:17:31,761 epoch 78 - iter 5481/6098 - loss 0.18888124
-2018-12-17 17:19:38,252 epoch 78 - iter 6090/6098 - loss 0.18953768
-2018-12-17 17:19:39,597 ----------------------------------------------------------------------------------------------------
-2018-12-17 17:19:39,597 EPOCH 78 done: loss 0.1895 - lr 0.1000 - bad epochs 1
-2018-12-17 17:22:06,761 TEST : loss 0.15640837 - f-score 0.9573 - acc 0.9573
-2018-12-17 17:22:06,762 ----------------------------------------------------------------------------------------------------
-2018-12-17 17:22:07,226 epoch 79 - iter 0/6098 - loss 0.15272874
-2018-12-17 17:24:15,552 epoch 79 - iter 609/6098 - loss 0.18454824
-2018-12-17 17:26:25,348 epoch 79 - iter 1218/6098 - loss 0.18844269
-2018-12-17 17:28:32,420 epoch 79 - iter 1827/6098 - loss 0.18818368
-2018-12-17 17:30:38,369 epoch 79 - iter 2436/6098 - loss 0.18801258
-2018-12-17 17:32:45,797 epoch 79 - iter 3045/6098 - loss 0.18805931
-2018-12-17 17:34:55,113 epoch 79 - iter 3654/6098 - loss 0.18824142
-2018-12-17 17:37:00,977 epoch 79 - iter 4263/6098 - loss 0.18788460
-2018-12-17 17:39:08,109 epoch 79 - iter 4872/6098 - loss 0.18809137
-2018-12-17 17:41:16,746 epoch 79 - iter 5481/6098 - loss 0.18780760
-2018-12-17 17:43:25,367 epoch 79 - iter 6090/6098 - loss 0.18819195
-2018-12-17 17:43:26,935 ----------------------------------------------------------------------------------------------------
-2018-12-17 17:43:26,936 EPOCH 79 done: loss 0.1883 - lr 0.1000 - bad epochs 0
-2018-12-17 17:45:42,000 TEST : loss 0.15559506 - f-score 0.9579 - acc 0.9579
-2018-12-17 17:45:42,001 ----------------------------------------------------------------------------------------------------
-2018-12-17 17:45:42,368 epoch 80 - iter 0/6098 - loss 0.22898185
-2018-12-17 17:47:50,160 epoch 80 - iter 609/6098 - loss 0.19038116
-2018-12-17 17:49:59,496 epoch 80 - iter 1218/6098 - loss 0.19109035
-2018-12-17 17:52:07,674 epoch 80 - iter 1827/6098 - loss 0.18931586
-2018-12-17 17:54:15,115 epoch 80 - iter 2436/6098 - loss 0.19030927
-2018-12-17 17:56:21,616 epoch 80 - iter 3045/6098 - loss 0.18963042
-2018-12-17 17:58:29,700 epoch 80 - iter 3654/6098 - loss 0.18939257
-2018-12-17 18:00:35,692 epoch 80 - iter 4263/6098 - loss 0.18927673
-2018-12-17 18:02:44,334 epoch 80 - iter 4872/6098 - loss 0.18916543
-2018-12-17 18:04:53,897 epoch 80 - iter 5481/6098 - loss 0.18924074
-2018-12-17 18:07:02,046 epoch 80 - iter 6090/6098 - loss 0.18935108
-2018-12-17 18:07:03,444 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:07:03,444 EPOCH 80 done: loss 0.1894 - lr 0.1000 - bad epochs 0
-2018-12-17 18:09:17,509 TEST : loss 0.15715188 - f-score 0.9580 - acc 0.9580
-2018-12-17 18:09:17,510 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:09:17,951 epoch 81 - iter 0/6098 - loss 0.28488228
-2018-12-17 18:11:25,019 epoch 81 - iter 609/6098 - loss 0.18292274
-2018-12-17 18:13:32,432 epoch 81 - iter 1218/6098 - loss 0.18646027
-2018-12-17 18:15:40,935 epoch 81 - iter 1827/6098 - loss 0.18737603
-2018-12-17 18:17:51,201 epoch 81 - iter 2436/6098 - loss 0.18789921
-2018-12-17 18:19:58,260 epoch 81 - iter 3045/6098 - loss 0.18768866
-2018-12-17 18:22:04,685 epoch 81 - iter 3654/6098 - loss 0.18779133
-2018-12-17 18:24:14,004 epoch 81 - iter 4263/6098 - loss 0.18790250
-2018-12-17 18:26:21,211 epoch 81 - iter 4872/6098 - loss 0.18819238
-2018-12-17 18:28:29,586 epoch 81 - iter 5481/6098 - loss 0.18810465
-2018-12-17 18:30:36,877 epoch 81 - iter 6090/6098 - loss 0.18798966
-2018-12-17 18:30:38,350 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:30:38,351 EPOCH 81 done: loss 0.1880 - lr 0.1000 - bad epochs 1
-2018-12-17 18:32:52,794 TEST : loss 0.15662317 - f-score 0.9580 - acc 0.9580
-2018-12-17 18:32:52,796 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:32:53,152 epoch 82 - iter 0/6098 - loss 0.15276757
-2018-12-17 18:35:00,048 epoch 82 - iter 609/6098 - loss 0.18665959
-2018-12-17 18:37:08,673 epoch 82 - iter 1218/6098 - loss 0.18474963
-2018-12-17 18:39:14,367 epoch 82 - iter 1827/6098 - loss 0.18399722
-2018-12-17 18:41:22,695 epoch 82 - iter 2436/6098 - loss 0.18600733
-2018-12-17 18:43:30,569 epoch 82 - iter 3045/6098 - loss 0.18619669
-2018-12-17 18:45:39,693 epoch 82 - iter 3654/6098 - loss 0.18719932
-2018-12-17 18:47:48,492 epoch 82 - iter 4263/6098 - loss 0.18783056
-2018-12-17 18:49:56,554 epoch 82 - iter 4872/6098 - loss 0.18766369
-2018-12-17 18:52:03,516 epoch 82 - iter 5481/6098 - loss 0.18796638
-2018-12-17 18:54:11,830 epoch 82 - iter 6090/6098 - loss 0.18782357
-2018-12-17 18:54:13,352 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:54:13,353 EPOCH 82 done: loss 0.1878 - lr 0.1000 - bad epochs 0
-2018-12-17 18:56:27,670 TEST : loss 0.15435661 - f-score 0.9584 - acc 0.9584
-2018-12-17 18:56:27,671 ----------------------------------------------------------------------------------------------------
-2018-12-17 18:56:28,048 epoch 83 - iter 0/6098 - loss 0.15393537
-2018-12-17 18:58:36,345 epoch 83 - iter 609/6098 - loss 0.18618446
-2018-12-17 19:00:45,541 epoch 83 - iter 1218/6098 - loss 0.18599317
-2018-12-17 19:02:53,206 epoch 83 - iter 1827/6098 - loss 0.18462897
-2018-12-17 19:05:01,271 epoch 83 - iter 2436/6098 - loss 0.18614585
-2018-12-17 19:07:08,321 epoch 83 - iter 3045/6098 - loss 0.18706171
-2018-12-17 19:09:15,975 epoch 83 - iter 3654/6098 - loss 0.18688752
-2018-12-17 19:11:24,245 epoch 83 - iter 4263/6098 - loss 0.18707739
-2018-12-17 19:13:29,861 epoch 83 - iter 4872/6098 - loss 0.18734113
-2018-12-17 19:15:39,456 epoch 83 - iter 5481/6098 - loss 0.18702801
-2018-12-17 19:17:45,651 epoch 83 - iter 6090/6098 - loss 0.18741579
-2018-12-17 19:17:47,128 ----------------------------------------------------------------------------------------------------
-2018-12-17 19:17:47,129 EPOCH 83 done: loss 0.1875 - lr 0.1000 - bad epochs 0
-2018-12-17 19:20:01,644 TEST : loss 0.15316443 - f-score 0.9585 - acc 0.9585
-2018-12-17 19:20:01,646 ----------------------------------------------------------------------------------------------------
-2018-12-17 19:20:02,003 epoch 84 - iter 0/6098 - loss 0.18248086
-2018-12-17 19:22:08,692 epoch 84 - iter 609/6098 - loss 0.18290800
-2018-12-17 19:24:15,498 epoch 84 - iter 1218/6098 - loss 0.18371879
-2018-12-17 19:26:23,718 epoch 84 - iter 1827/6098 - loss 0.18257455
-2018-12-17 19:28:31,439 epoch 84 - iter 2436/6098 - loss 0.18367675
-2018-12-17 19:30:39,688 epoch 84 - iter 3045/6098 - loss 0.18475701
-2018-12-17 19:32:47,606 epoch 84 - iter 3654/6098 - loss 0.18490908
-2018-12-17 19:34:55,039 epoch 84 - iter 4263/6098 - loss 0.18529717
-2018-12-17 19:37:02,553 epoch 84 - iter 4872/6098 - loss 0.18570120
-2018-12-17 19:39:09,765 epoch 84 - iter 5481/6098 - loss 0.18587003
-2018-12-17 19:41:16,867 epoch 84 - iter 6090/6098 - loss 0.18595922
-2018-12-17 19:41:18,454 ----------------------------------------------------------------------------------------------------
-2018-12-17 19:41:18,454 EPOCH 84 done: loss 0.1860 - lr 0.1000 - bad epochs 0
-2018-12-17 19:43:32,704 TEST : loss 0.15518843 - f-score 0.9578 - acc 0.9578
-2018-12-17 19:43:32,705 ----------------------------------------------------------------------------------------------------
-2018-12-17 19:43:33,057 epoch 85 - iter 0/6098 - loss 0.28034979
-2018-12-17 19:45:42,290 epoch 85 - iter 609/6098 - loss 0.18633603
-2018-12-17 19:47:49,026 epoch 85 - iter 1218/6098 - loss 0.18601954
-2018-12-17 19:49:57,241 epoch 85 - iter 1827/6098 - loss 0.18608011
-2018-12-17 19:52:05,007 epoch 85 - iter 2436/6098 - loss 0.18637608
-2018-12-17 19:54:25,093 epoch 85 - iter 3045/6098 - loss 0.18681172
-2018-12-17 19:56:32,947 epoch 85 - iter 3654/6098 - loss 0.18692103
-2018-12-17 19:58:43,108 epoch 85 - iter 4263/6098 - loss 0.18622663
-2018-12-17 20:00:49,276 epoch 85 - iter 4872/6098 - loss 0.18614356
-2018-12-17 20:02:59,218 epoch 85 - iter 5481/6098 - loss 0.18613258
-2018-12-17 20:05:05,490 epoch 85 - iter 6090/6098 - loss 0.18598134
-2018-12-17 20:05:06,892 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:05:06,893 EPOCH 85 done: loss 0.1860 - lr 0.1000 - bad epochs 0
-2018-12-17 20:07:22,022 TEST : loss 0.15508130 - f-score 0.9582 - acc 0.9582
-2018-12-17 20:07:22,023 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:07:22,402 epoch 86 - iter 0/6098 - loss 0.18059017
-2018-12-17 20:09:29,398 epoch 86 - iter 609/6098 - loss 0.18723292
-2018-12-17 20:11:35,148 epoch 86 - iter 1218/6098 - loss 0.18577291
-2018-12-17 20:13:43,212 epoch 86 - iter 1827/6098 - loss 0.18660549
-2018-12-17 20:15:50,894 epoch 86 - iter 2436/6098 - loss 0.18646240
-2018-12-17 20:17:57,127 epoch 86 - iter 3045/6098 - loss 0.18578941
-2018-12-17 20:20:06,289 epoch 86 - iter 3654/6098 - loss 0.18599351
-2018-12-17 20:22:16,179 epoch 86 - iter 4263/6098 - loss 0.18555060
-2018-12-17 20:24:25,691 epoch 86 - iter 4872/6098 - loss 0.18576110
-2018-12-17 20:26:32,621 epoch 86 - iter 5481/6098 - loss 0.18610628
-2018-12-17 20:28:42,519 epoch 86 - iter 6090/6098 - loss 0.18633067
-2018-12-17 20:28:43,927 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:28:43,927 EPOCH 86 done: loss 0.1863 - lr 0.1000 - bad epochs 1
-2018-12-17 20:30:58,130 TEST : loss 0.15407689 - f-score 0.9583 - acc 0.9583
-2018-12-17 20:30:58,131 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:30:58,526 epoch 87 - iter 0/6098 - loss 0.11511847
-2018-12-17 20:33:06,831 epoch 87 - iter 609/6098 - loss 0.18513583
-2018-12-17 20:35:14,300 epoch 87 - iter 1218/6098 - loss 0.18555485
-2018-12-17 20:37:23,099 epoch 87 - iter 1827/6098 - loss 0.18632261
-2018-12-17 20:39:31,363 epoch 87 - iter 2436/6098 - loss 0.18588818
-2018-12-17 20:41:37,465 epoch 87 - iter 3045/6098 - loss 0.18629574
-2018-12-17 20:43:45,130 epoch 87 - iter 3654/6098 - loss 0.18638762
-2018-12-17 20:45:52,780 epoch 87 - iter 4263/6098 - loss 0.18588893
-2018-12-17 20:48:02,171 epoch 87 - iter 4872/6098 - loss 0.18591081
-2018-12-17 20:50:06,845 epoch 87 - iter 5481/6098 - loss 0.18590350
-2018-12-17 20:52:15,518 epoch 87 - iter 6090/6098 - loss 0.18586248
-2018-12-17 20:52:16,790 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:52:16,790 EPOCH 87 done: loss 0.1858 - lr 0.1000 - bad epochs 2
-2018-12-17 20:54:31,945 TEST : loss 0.15598780 - f-score 0.9584 - acc 0.9584
-2018-12-17 20:54:31,946 ----------------------------------------------------------------------------------------------------
-2018-12-17 20:54:32,315 epoch 88 - iter 0/6098 - loss 0.14599414
-2018-12-17 20:56:41,086 epoch 88 - iter 609/6098 - loss 0.18507791
-2018-12-17 20:58:47,815 epoch 88 - iter 1218/6098 - loss 0.18558899
-2018-12-17 21:00:55,151 epoch 88 - iter 1827/6098 - loss 0.18600183
-2018-12-17 21:03:02,834 epoch 88 - iter 2436/6098 - loss 0.18536102
-2018-12-17 21:05:11,775 epoch 88 - iter 3045/6098 - loss 0.18611761
-2018-12-17 21:07:16,816 epoch 88 - iter 3654/6098 - loss 0.18599678
-2018-12-17 21:09:25,054 epoch 88 - iter 4263/6098 - loss 0.18594921
-2018-12-17 21:11:32,866 epoch 88 - iter 4872/6098 - loss 0.18606129
-2018-12-17 21:13:39,882 epoch 88 - iter 5481/6098 - loss 0.18617050
-2018-12-17 21:15:47,171 epoch 88 - iter 6090/6098 - loss 0.18587158
-2018-12-17 21:15:48,816 ----------------------------------------------------------------------------------------------------
-2018-12-17 21:15:48,816 EPOCH 88 done: loss 0.1858 - lr 0.1000 - bad epochs 0
-2018-12-17 21:18:02,575 TEST : loss 0.15619622 - f-score 0.9584 - acc 0.9584
-2018-12-17 21:18:02,576 ----------------------------------------------------------------------------------------------------
-2018-12-17 21:18:03,159 epoch 89 - iter 0/6098 - loss 0.20905496
-2018-12-17 21:20:08,613 epoch 89 - iter 609/6098 - loss 0.17739550
-2018-12-17 21:22:16,839 epoch 89 - iter 1218/6098 - loss 0.18013929
-2018-12-17 21:24:22,796 epoch 89 - iter 1827/6098 - loss 0.18144666
-2018-12-17 21:26:31,700 epoch 89 - iter 2436/6098 - loss 0.18238497
-2018-12-17 21:28:39,248 epoch 89 - iter 3045/6098 - loss 0.18232217
-2018-12-17 21:30:48,253 epoch 89 - iter 3654/6098 - loss 0.18246185
-2018-12-17 21:32:56,119 epoch 89 - iter 4263/6098 - loss 0.18288687
-2018-12-17 21:35:03,180 epoch 89 - iter 4872/6098 - loss 0.18320667
-2018-12-17 21:37:11,559 epoch 89 - iter 5481/6098 - loss 0.18307496
-2018-12-17 21:39:18,673 epoch 89 - iter 6090/6098 - loss 0.18313383
-2018-12-17 21:39:20,425 ----------------------------------------------------------------------------------------------------
-2018-12-17 21:39:20,425 EPOCH 89 done: loss 0.1832 - lr 0.1000 - bad epochs 1
-2018-12-17 21:41:34,523 TEST : loss 0.15559636 - f-score 0.9586 - acc 0.9586
-2018-12-17 21:41:34,524 ----------------------------------------------------------------------------------------------------
-2018-12-17 21:41:34,922 epoch 90 - iter 0/6098 - loss 0.29970407
-2018-12-17 21:43:43,497 epoch 90 - iter 609/6098 - loss 0.18732813
-2018-12-17 21:45:51,501 epoch 90 - iter 1218/6098 - loss 0.18718099
-2018-12-17 21:48:01,135 epoch 90 - iter 1827/6098 - loss 0.18562249
-2018-12-17 21:50:11,154 epoch 90 - iter 2436/6098 - loss 0.18494578
-2018-12-17 21:52:17,601 epoch 90 - iter 3045/6098 - loss 0.18498545
-2018-12-17 21:54:25,585 epoch 90 - iter 3654/6098 - loss 0.18537797
-2018-12-17 21:56:33,342 epoch 90 - iter 4263/6098 - loss 0.18488385
-2018-12-17 21:58:39,489 epoch 90 - iter 4872/6098 - loss 0.18549723
-2018-12-17 22:00:49,115 epoch 90 - iter 5481/6098 - loss 0.18531014
-2018-12-17 22:02:56,159 epoch 90 - iter 6090/6098 - loss 0.18535600
-2018-12-17 22:02:57,492 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:02:57,492 EPOCH 90 done: loss 0.1853 - lr 0.1000 - bad epochs 0
-2018-12-17 22:05:12,836 TEST : loss 0.15457827 - f-score 0.9580 - acc 0.9580
-2018-12-17 22:05:12,837 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:05:13,217 epoch 91 - iter 0/6098 - loss 0.07439332
-2018-12-17 22:07:19,418 epoch 91 - iter 609/6098 - loss 0.18118479
-2018-12-17 22:09:27,156 epoch 91 - iter 1218/6098 - loss 0.17951032
-2018-12-17 22:11:34,355 epoch 91 - iter 1827/6098 - loss 0.18146319
-2018-12-17 22:13:41,802 epoch 91 - iter 2436/6098 - loss 0.18137092
-2018-12-17 22:15:49,373 epoch 91 - iter 3045/6098 - loss 0.18310667
-2018-12-17 22:17:55,474 epoch 91 - iter 3654/6098 - loss 0.18303994
-2018-12-17 22:20:01,506 epoch 91 - iter 4263/6098 - loss 0.18373082
-2018-12-17 22:22:10,102 epoch 91 - iter 4872/6098 - loss 0.18415532
-2018-12-17 22:24:20,668 epoch 91 - iter 5481/6098 - loss 0.18383637
-2018-12-17 22:26:26,688 epoch 91 - iter 6090/6098 - loss 0.18384676
-2018-12-17 22:26:28,070 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:26:28,071 EPOCH 91 done: loss 0.1838 - lr 0.1000 - bad epochs 1
-2018-12-17 22:28:54,274 TEST : loss 0.15285389 - f-score 0.9587 - acc 0.9587
-2018-12-17 22:28:54,275 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:28:54,677 epoch 92 - iter 0/6098 - loss 0.15206675
-2018-12-17 22:31:05,262 epoch 92 - iter 609/6098 - loss 0.18510755
-2018-12-17 22:33:10,304 epoch 92 - iter 1218/6098 - loss 0.18202390
-2018-12-17 22:35:19,709 epoch 92 - iter 1827/6098 - loss 0.18290763
-2018-12-17 22:37:26,835 epoch 92 - iter 2436/6098 - loss 0.18206838
-2018-12-17 22:39:34,090 epoch 92 - iter 3045/6098 - loss 0.18184580
-2018-12-17 22:41:42,003 epoch 92 - iter 3654/6098 - loss 0.18280833
-2018-12-17 22:43:49,094 epoch 92 - iter 4263/6098 - loss 0.18284818
-2018-12-17 22:45:58,151 epoch 92 - iter 4872/6098 - loss 0.18332466
-2018-12-17 22:48:07,117 epoch 92 - iter 5481/6098 - loss 0.18362184
-2018-12-17 22:50:12,086 epoch 92 - iter 6090/6098 - loss 0.18402327
-2018-12-17 22:50:13,494 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:50:13,494 EPOCH 92 done: loss 0.1841 - lr 0.1000 - bad epochs 2
-2018-12-17 22:52:27,297 TEST : loss 0.15461351 - f-score 0.9588 - acc 0.9588
-2018-12-17 22:52:27,299 ----------------------------------------------------------------------------------------------------
-2018-12-17 22:52:27,659 epoch 93 - iter 0/6098 - loss 0.15895800
-2018-12-17 22:54:35,194 epoch 93 - iter 609/6098 - loss 0.18242790
-2018-12-17 22:56:42,272 epoch 93 - iter 1218/6098 - loss 0.18083175
-2018-12-17 22:58:48,793 epoch 93 - iter 1827/6098 - loss 0.17797533
-2018-12-17 23:00:53,733 epoch 93 - iter 2436/6098 - loss 0.17676501
-2018-12-17 23:03:01,876 epoch 93 - iter 3045/6098 - loss 0.17566598
-2018-12-17 23:05:07,984 epoch 93 - iter 3654/6098 - loss 0.17560225
-2018-12-17 23:07:16,317 epoch 93 - iter 4263/6098 - loss 0.17526905
-2018-12-17 23:09:26,371 epoch 93 - iter 4872/6098 - loss 0.17576966
-2018-12-17 23:11:34,130 epoch 93 - iter 5481/6098 - loss 0.17540621
-2018-12-17 23:13:42,158 epoch 93 - iter 6090/6098 - loss 0.17558964
-2018-12-17 23:13:43,375 ----------------------------------------------------------------------------------------------------
-2018-12-17 23:13:43,375 EPOCH 93 done: loss 0.1756 - lr 0.0500 - bad epochs 0
-2018-12-17 23:15:59,421 TEST : loss 0.15026653 - f-score 0.9603 - acc 0.9603
-2018-12-17 23:15:59,422 ----------------------------------------------------------------------------------------------------
-2018-12-17 23:15:59,835 epoch 94 - iter 0/6098 - loss 0.13797411
-2018-12-17 23:18:09,332 epoch 94 - iter 609/6098 - loss 0.17109458
-2018-12-17 23:20:16,969 epoch 94 - iter 1218/6098 - loss 0.17015804
-2018-12-17 23:22:23,015 epoch 94 - iter 1827/6098 - loss 0.17029277
-2018-12-17 23:24:28,295 epoch 94 - iter 2436/6098 - loss 0.17055411
-2018-12-17 23:26:32,444 epoch 94 - iter 3045/6098 - loss 0.17065054
-2018-12-17 23:28:38,894 epoch 94 - iter 3654/6098 - loss 0.17142488
-2018-12-17 23:30:50,249 epoch 94 - iter 4263/6098 - loss 0.17089235
-2018-12-17 23:32:59,454 epoch 94 - iter 4872/6098 - loss 0.17091953
-2018-12-17 23:35:07,721 epoch 94 - iter 5481/6098 - loss 0.17061238
-2018-12-17 23:37:16,474 epoch 94 - iter 6090/6098 - loss 0.16995740
-2018-12-17 23:37:18,149 ----------------------------------------------------------------------------------------------------
-2018-12-17 23:37:18,149 EPOCH 94 done: loss 0.1699 - lr 0.0500 - bad epochs 0
-2018-12-17 23:39:32,455 TEST : loss 0.15075549 - f-score 0.9603 - acc 0.9603
-2018-12-17 23:39:32,456 ----------------------------------------------------------------------------------------------------
-2018-12-17 23:39:32,879 epoch 95 - iter 0/6098 - loss 0.17385773
-2018-12-17 23:41:39,134 epoch 95 - iter 609/6098 - loss 0.16356578
-2018-12-17 23:43:46,742 epoch 95 - iter 1218/6098 - loss 0.16598448
-2018-12-17 23:45:53,091 epoch 95 - iter 1827/6098 - loss 0.16636911
-2018-12-17 23:47:58,790 epoch 95 - iter 2436/6098 - loss 0.16703395
-2018-12-17 23:50:06,041 epoch 95 - iter 3045/6098 - loss 0.16768644
-2018-12-17 23:52:12,788 epoch 95 - iter 3654/6098 - loss 0.16741821
-2018-12-17 23:54:22,279 epoch 95 - iter 4263/6098 - loss 0.16795136
-2018-12-17 23:56:26,500 epoch 95 - iter 4872/6098 - loss 0.16809513
-2018-12-17 23:58:36,383 epoch 95 - iter 5481/6098 - loss 0.16814400
-2018-12-18 00:00:46,202 epoch 95 - iter 6090/6098 - loss 0.16775643
-2018-12-18 00:00:47,604 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:00:47,605 EPOCH 95 done: loss 0.1678 - lr 0.0500 - bad epochs 0
-2018-12-18 00:03:02,736 TEST : loss 0.15155903 - f-score 0.9605 - acc 0.9605
-2018-12-18 00:03:02,738 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:03:03,098 epoch 96 - iter 0/6098 - loss 0.13099161
-2018-12-18 00:05:12,404 epoch 96 - iter 609/6098 - loss 0.16173285
-2018-12-18 00:07:20,407 epoch 96 - iter 1218/6098 - loss 0.16462043
-2018-12-18 00:09:27,881 epoch 96 - iter 1827/6098 - loss 0.16744188
-2018-12-18 00:11:35,622 epoch 96 - iter 2436/6098 - loss 0.16763625
-2018-12-18 00:13:39,887 epoch 96 - iter 3045/6098 - loss 0.16726989
-2018-12-18 00:15:48,290 epoch 96 - iter 3654/6098 - loss 0.16728759
-2018-12-18 00:17:54,157 epoch 96 - iter 4263/6098 - loss 0.16694889
-2018-12-18 00:20:04,048 epoch 96 - iter 4872/6098 - loss 0.16743810
-2018-12-18 00:22:10,548 epoch 96 - iter 5481/6098 - loss 0.16793528
-2018-12-18 00:24:16,264 epoch 96 - iter 6090/6098 - loss 0.16780589
-2018-12-18 00:24:17,851 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:24:17,852 EPOCH 96 done: loss 0.1678 - lr 0.0500 - bad epochs 0
-2018-12-18 00:26:30,914 TEST : loss 0.14922187 - f-score 0.9608 - acc 0.9608
-2018-12-18 00:26:30,916 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:26:31,290 epoch 97 - iter 0/6098 - loss 0.13658345
-2018-12-18 00:28:39,427 epoch 97 - iter 609/6098 - loss 0.16058800
-2018-12-18 00:30:46,341 epoch 97 - iter 1218/6098 - loss 0.16084197
-2018-12-18 00:32:51,546 epoch 97 - iter 1827/6098 - loss 0.16330253
-2018-12-18 00:34:57,075 epoch 97 - iter 2436/6098 - loss 0.16469761
-2018-12-18 00:37:06,533 epoch 97 - iter 3045/6098 - loss 0.16495796
-2018-12-18 00:39:16,750 epoch 97 - iter 3654/6098 - loss 0.16531035
-2018-12-18 00:41:25,091 epoch 97 - iter 4263/6098 - loss 0.16482775
-2018-12-18 00:43:32,314 epoch 97 - iter 4872/6098 - loss 0.16494262
-2018-12-18 00:45:40,487 epoch 97 - iter 5481/6098 - loss 0.16530708
-2018-12-18 00:47:50,792 epoch 97 - iter 6090/6098 - loss 0.16538585
-2018-12-18 00:47:52,313 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:47:52,314 EPOCH 97 done: loss 0.1654 - lr 0.0500 - bad epochs 1
-2018-12-18 00:50:08,098 TEST : loss 0.14951165 - f-score 0.9610 - acc 0.9610
-2018-12-18 00:50:08,099 ----------------------------------------------------------------------------------------------------
-2018-12-18 00:50:08,488 epoch 98 - iter 0/6098 - loss 0.11167447
-2018-12-18 00:52:16,089 epoch 98 - iter 609/6098 - loss 0.16406907
-2018-12-18 00:54:23,840 epoch 98 - iter 1218/6098 - loss 0.16289811
-2018-12-18 00:56:30,487 epoch 98 - iter 1827/6098 - loss 0.16329923
-2018-12-18 00:58:38,008 epoch 98 - iter 2436/6098 - loss 0.16371856
-2018-12-18 01:00:47,551 epoch 98 - iter 3045/6098 - loss 0.16320944
-2018-12-18 01:02:55,030 epoch 98 - iter 3654/6098 - loss 0.16331291
-2018-12-18 01:05:14,431 epoch 98 - iter 4263/6098 - loss 0.16307481
-2018-12-18 01:07:21,059 epoch 98 - iter 4872/6098 - loss 0.16371548
-2018-12-18 01:09:30,287 epoch 98 - iter 5481/6098 - loss 0.16409256
-2018-12-18 01:11:37,943 epoch 98 - iter 6090/6098 - loss 0.16387296
-2018-12-18 01:11:39,155 ----------------------------------------------------------------------------------------------------
-2018-12-18 01:11:39,155 EPOCH 98 done: loss 0.1638 - lr 0.0500 - bad epochs 0
-2018-12-18 01:13:54,156 TEST : loss 0.14997344 - f-score 0.9611 - acc 0.9611
-2018-12-18 01:13:54,157 ----------------------------------------------------------------------------------------------------
-2018-12-18 01:13:54,664 epoch 99 - iter 0/6098 - loss 0.15485123
-2018-12-18 01:16:03,721 epoch 99 - iter 609/6098 - loss 0.16408589
-2018-12-18 01:18:11,448 epoch 99 - iter 1218/6098 - loss 0.16287767
-2018-12-18 01:20:18,652 epoch 99 - iter 1827/6098 - loss 0.16305243
-2018-12-18 01:22:24,022 epoch 99 - iter 2436/6098 - loss 0.16385007
-2018-12-18 01:24:29,436 epoch 99 - iter 3045/6098 - loss 0.16379707
-2018-12-18 01:26:37,736 epoch 99 - iter 3654/6098 - loss 0.16382632
-2018-12-18 01:28:46,393 epoch 99 - iter 4263/6098 - loss 0.16397407
-2018-12-18 01:30:53,923 epoch 99 - iter 4872/6098 - loss 0.16353527
-2018-12-18 01:32:59,623 epoch 99 - iter 5481/6098 - loss 0.16323343
-2018-12-18 01:35:06,518 epoch 99 - iter 6090/6098 - loss 0.16288802
-2018-12-18 01:35:08,004 ----------------------------------------------------------------------------------------------------
-2018-12-18 01:35:08,004 EPOCH 99 done: loss 0.1629 - lr 0.0500 - bad epochs 0
-2018-12-18 01:37:21,960 TEST : loss 0.15006998 - f-score 0.9615 - acc 0.9615
-2018-12-18 01:37:21,962 ----------------------------------------------------------------------------------------------------
-2018-12-18 01:37:22,364 epoch 100 - iter 0/6098 - loss 0.07065533
-2018-12-18 01:39:28,960 epoch 100 - iter 609/6098 - loss 0.16137312
-2018-12-18 01:41:34,432 epoch 100 - iter 1218/6098 - loss 0.15963759
-2018-12-18 01:43:46,085 epoch 100 - iter 1827/6098 - loss 0.16038629
-2018-12-18 01:45:53,692 epoch 100 - iter 2436/6098 - loss 0.16023278
-2018-12-18 01:48:01,482 epoch 100 - iter 3045/6098 - loss 0.16015585
-2018-12-18 01:50:08,900 epoch 100 - iter 3654/6098 - loss 0.16020922
-2018-12-18 01:52:15,631 epoch 100 - iter 4263/6098 - loss 0.16139443
-2018-12-18 01:54:24,118 epoch 100 - iter 4872/6098 - loss 0.16155055
-2018-12-18 01:56:31,568 epoch 100 - iter 5481/6098 - loss 0.16145111
-2018-12-18 01:58:37,695 epoch 100 - iter 6090/6098 - loss 0.16136591
-2018-12-18 01:58:39,246 ----------------------------------------------------------------------------------------------------
-2018-12-18 01:58:39,247 EPOCH 100 done: loss 0.1614 - lr 0.0500 - bad epochs 0
-2018-12-18 02:00:54,892 TEST : loss 0.15046971 - f-score 0.9614 - acc 0.9614
-2018-12-18 02:00:54,893 ----------------------------------------------------------------------------------------------------
-2018-12-18 02:00:55,290 epoch 101 - iter 0/6098 - loss 0.11652727
-2018-12-18 02:03:05,220 epoch 101 - iter 609/6098 - loss 0.15872255
-2018-12-18 02:05:14,685 epoch 101 - iter 1218/6098 - loss 0.15942735
-2018-12-18 02:07:20,607 epoch 101 - iter 1827/6098 - loss 0.15915056
-2018-12-18 02:09:27,577 epoch 101 - iter 2436/6098 - loss 0.16003997
-2018-12-18 02:11:35,656 epoch 101 - iter 3045/6098 - loss 0.16006654
-2018-12-18 02:13:42,253 epoch 101 - iter 3654/6098 - loss 0.16057659
-2018-12-18 02:15:49,141 epoch 101 - iter 4263/6098 - loss 0.16105213
-2018-12-18 02:17:53,541 epoch 101 - iter 4872/6098 - loss 0.16063354
-2018-12-18 02:20:02,015 epoch 101 - iter 5481/6098 - loss 0.16091050
-2018-12-18 02:22:07,885 epoch 101 - iter 6090/6098 - loss 0.16098446
-2018-12-18 02:22:09,423 ----------------------------------------------------------------------------------------------------
-2018-12-18 02:22:09,423 EPOCH 101 done: loss 0.1610 - lr 0.0500 - bad epochs 0
-2018-12-18 02:24:23,605 TEST : loss 0.14795603 - f-score 0.9614 - acc 0.9614
-2018-12-18 02:24:23,606 ----------------------------------------------------------------------------------------------------
-2018-12-18 02:24:24,092 epoch 102 - iter 0/6098 - loss 0.14538917
-2018-12-18 02:26:32,288 epoch 102 - iter 609/6098 - loss 0.16020788
-2018-12-18 02:28:39,376 epoch 102 - iter 1218/6098 - loss 0.15948124
-2018-12-18 02:30:47,865 epoch 102 - iter 1827/6098 - loss 0.15968501
-2018-12-18 02:32:55,306 epoch 102 - iter 2436/6098 - loss 0.16022384
-2018-12-18 02:35:02,863 epoch 102 - iter 3045/6098 - loss 0.16069977
-2018-12-18 02:37:09,565 epoch 102 - iter 3654/6098 - loss 0.16033478
-2018-12-18 02:39:21,073 epoch 102 - iter 4263/6098 - loss 0.15979130
-2018-12-18 02:41:26,980 epoch 102 - iter 4872/6098 - loss 0.15962007
-2018-12-18 02:43:35,544 epoch 102 - iter 5481/6098 - loss 0.15951282
-2018-12-18 02:45:42,652 epoch 102 - iter 6090/6098 - loss 0.15973825
-2018-12-18 02:45:44,157 ----------------------------------------------------------------------------------------------------
-2018-12-18 02:45:44,157 EPOCH 102 done: loss 0.1598 - lr 0.0500 - bad epochs 0
-2018-12-18 02:47:58,607 TEST : loss 0.14989610 - f-score 0.9612 - acc 0.9612
-2018-12-18 02:47:58,608 ----------------------------------------------------------------------------------------------------
-2018-12-18 02:47:59,053 epoch 103 - iter 0/6098 - loss 0.14301705
-2018-12-18 02:50:06,662 epoch 103 - iter 609/6098 - loss 0.15441093
-2018-12-18 02:52:15,075 epoch 103 - iter 1218/6098 - loss 0.15754759
-2018-12-18 02:54:22,407 epoch 103 - iter 1827/6098 - loss 0.15840958
-2018-12-18 02:56:34,179 epoch 103 - iter 2436/6098 - loss 0.15777552
-2018-12-18 02:58:42,982 epoch 103 - iter 3045/6098 - loss 0.15774346
-2018-12-18 03:00:48,791 epoch 103 - iter 3654/6098 - loss 0.15810826
-2018-12-18 03:02:56,092 epoch 103 - iter 4263/6098 - loss 0.15745763
-2018-12-18 03:05:04,647 epoch 103 - iter 4872/6098 - loss 0.15760633
-2018-12-18 03:07:13,131 epoch 103 - iter 5481/6098 - loss 0.15822775
-2018-12-18 03:09:18,084 epoch 103 - iter 6090/6098 - loss 0.15873053
-2018-12-18 03:09:19,636 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:09:19,637 EPOCH 103 done: loss 0.1588 - lr 0.0500 - bad epochs 0
-2018-12-18 03:11:33,754 TEST : loss 0.14971721 - f-score 0.9613 - acc 0.9613
-2018-12-18 03:11:33,755 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:11:34,110 epoch 104 - iter 0/6098 - loss 0.16369465
-2018-12-18 03:13:41,792 epoch 104 - iter 609/6098 - loss 0.15957285
-2018-12-18 03:15:48,722 epoch 104 - iter 1218/6098 - loss 0.15764742
-2018-12-18 03:17:56,058 epoch 104 - iter 1827/6098 - loss 0.15914475
-2018-12-18 03:20:03,870 epoch 104 - iter 2436/6098 - loss 0.15890588
-2018-12-18 03:22:10,746 epoch 104 - iter 3045/6098 - loss 0.15861735
-2018-12-18 03:24:17,294 epoch 104 - iter 3654/6098 - loss 0.15933581
-2018-12-18 03:26:24,762 epoch 104 - iter 4263/6098 - loss 0.15967231
-2018-12-18 03:28:31,485 epoch 104 - iter 4872/6098 - loss 0.15944900
-2018-12-18 03:30:39,432 epoch 104 - iter 5481/6098 - loss 0.15954208
-2018-12-18 03:32:49,170 epoch 104 - iter 6090/6098 - loss 0.15983398
-2018-12-18 03:32:50,358 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:32:50,359 EPOCH 104 done: loss 0.1598 - lr 0.0500 - bad epochs 0
-2018-12-18 03:35:16,178 TEST : loss 0.14960681 - f-score 0.9617 - acc 0.9617
-2018-12-18 03:35:16,179 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:35:16,509 epoch 105 - iter 0/6098 - loss 0.07325444
-2018-12-18 03:37:23,875 epoch 105 - iter 609/6098 - loss 0.15742451
-2018-12-18 03:39:28,704 epoch 105 - iter 1218/6098 - loss 0.15652378
-2018-12-18 03:41:37,408 epoch 105 - iter 1827/6098 - loss 0.15746630
-2018-12-18 03:43:44,387 epoch 105 - iter 2436/6098 - loss 0.15773450
-2018-12-18 03:45:51,942 epoch 105 - iter 3045/6098 - loss 0.15662010
-2018-12-18 03:48:03,022 epoch 105 - iter 3654/6098 - loss 0.15782494
-2018-12-18 03:50:10,465 epoch 105 - iter 4263/6098 - loss 0.15807092
-2018-12-18 03:52:19,251 epoch 105 - iter 4872/6098 - loss 0.15822425
-2018-12-18 03:54:25,272 epoch 105 - iter 5481/6098 - loss 0.15837414
-2018-12-18 03:56:31,837 epoch 105 - iter 6090/6098 - loss 0.15846133
-2018-12-18 03:56:33,317 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:56:33,317 EPOCH 105 done: loss 0.1584 - lr 0.0500 - bad epochs 1
-2018-12-18 03:58:47,664 TEST : loss 0.14778271 - f-score 0.9620 - acc 0.9620
-2018-12-18 03:58:47,665 ----------------------------------------------------------------------------------------------------
-2018-12-18 03:58:48,102 epoch 106 - iter 0/6098 - loss 0.13591635
-2018-12-18 04:00:56,759 epoch 106 - iter 609/6098 - loss 0.15804057
-2018-12-18 04:03:03,932 epoch 106 - iter 1218/6098 - loss 0.15655850
-2018-12-18 04:05:08,049 epoch 106 - iter 1827/6098 - loss 0.15823691
-2018-12-18 04:07:15,605 epoch 106 - iter 2436/6098 - loss 0.15694406
-2018-12-18 04:09:22,644 epoch 106 - iter 3045/6098 - loss 0.15804785
-2018-12-18 04:11:30,215 epoch 106 - iter 3654/6098 - loss 0.15811215
-2018-12-18 04:13:37,319 epoch 106 - iter 4263/6098 - loss 0.15815679
-2018-12-18 04:15:47,868 epoch 106 - iter 4872/6098 - loss 0.15804790
-2018-12-18 04:17:55,134 epoch 106 - iter 5481/6098 - loss 0.15797733
-2018-12-18 04:20:02,454 epoch 106 - iter 6090/6098 - loss 0.15833662
-2018-12-18 04:20:03,941 ----------------------------------------------------------------------------------------------------
-2018-12-18 04:20:03,942 EPOCH 106 done: loss 0.1583 - lr 0.0500 - bad epochs 0
-2018-12-18 04:22:18,847 TEST : loss 0.14768419 - f-score 0.9619 - acc 0.9619
-2018-12-18 04:22:18,848 ----------------------------------------------------------------------------------------------------
-2018-12-18 04:22:19,196 epoch 107 - iter 0/6098 - loss 0.11366148
-2018-12-18 04:24:28,199 epoch 107 - iter 609/6098 - loss 0.15416743
-2018-12-18 04:26:36,277 epoch 107 - iter 1218/6098 - loss 0.15664870
-2018-12-18 04:28:43,911 epoch 107 - iter 1827/6098 - loss 0.15630925
-2018-12-18 04:30:53,312 epoch 107 - iter 2436/6098 - loss 0.15700397
-2018-12-18 04:33:03,358 epoch 107 - iter 3045/6098 - loss 0.15741518
-2018-12-18 04:35:12,285 epoch 107 - iter 3654/6098 - loss 0.15756307
-2018-12-18 04:37:20,182 epoch 107 - iter 4263/6098 - loss 0.15685568
-2018-12-18 04:39:28,295 epoch 107 - iter 4872/6098 - loss 0.15662891
-2018-12-18 04:41:34,529 epoch 107 - iter 5481/6098 - loss 0.15673457
-2018-12-18 04:43:40,780 epoch 107 - iter 6090/6098 - loss 0.15686309
-2018-12-18 04:43:42,140 ----------------------------------------------------------------------------------------------------
-2018-12-18 04:43:42,141 EPOCH 107 done: loss 0.1568 - lr 0.0500 - bad epochs 0
-2018-12-18 04:45:55,063 TEST : loss 0.14690654 - f-score 0.9619 - acc 0.9619
-2018-12-18 04:45:55,064 ----------------------------------------------------------------------------------------------------
-2018-12-18 04:45:55,439 epoch 108 - iter 0/6098 - loss 0.13505538
-2018-12-18 04:48:04,906 epoch 108 - iter 609/6098 - loss 0.15079274
-2018-12-18 04:50:12,739 epoch 108 - iter 1218/6098 - loss 0.15480554
-2018-12-18 04:52:16,758 epoch 108 - iter 1827/6098 - loss 0.15487877
-2018-12-18 04:54:25,536 epoch 108 - iter 2436/6098 - loss 0.15520788
-2018-12-18 04:56:34,999 epoch 108 - iter 3045/6098 - loss 0.15459635
-2018-12-18 04:58:40,049 epoch 108 - iter 3654/6098 - loss 0.15463865
-2018-12-18 05:00:48,456 epoch 108 - iter 4263/6098 - loss 0.15476440
-2018-12-18 05:02:54,971 epoch 108 - iter 4872/6098 - loss 0.15477046
-2018-12-18 05:05:01,256 epoch 108 - iter 5481/6098 - loss 0.15535509
-2018-12-18 05:07:06,181 epoch 108 - iter 6090/6098 - loss 0.15552220
-2018-12-18 05:07:07,698 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:07:07,699 EPOCH 108 done: loss 0.1555 - lr 0.0500 - bad epochs 0
-2018-12-18 05:09:22,484 TEST : loss 0.14799796 - f-score 0.9620 - acc 0.9620
-2018-12-18 05:09:22,485 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:09:22,922 epoch 109 - iter 0/6098 - loss 0.15852363
-2018-12-18 05:11:32,175 epoch 109 - iter 609/6098 - loss 0.15517391
-2018-12-18 05:13:37,544 epoch 109 - iter 1218/6098 - loss 0.15609988
-2018-12-18 05:15:43,951 epoch 109 - iter 1827/6098 - loss 0.15648610
-2018-12-18 05:17:50,752 epoch 109 - iter 2436/6098 - loss 0.15630417
-2018-12-18 05:19:58,829 epoch 109 - iter 3045/6098 - loss 0.15642227
-2018-12-18 05:22:05,887 epoch 109 - iter 3654/6098 - loss 0.15574429
-2018-12-18 05:24:11,893 epoch 109 - iter 4263/6098 - loss 0.15616981
-2018-12-18 05:26:20,027 epoch 109 - iter 4872/6098 - loss 0.15573164
-2018-12-18 05:28:29,294 epoch 109 - iter 5481/6098 - loss 0.15581964
-2018-12-18 05:30:33,348 epoch 109 - iter 6090/6098 - loss 0.15565364
-2018-12-18 05:30:34,952 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:30:34,952 EPOCH 109 done: loss 0.1556 - lr 0.0500 - bad epochs 0
-2018-12-18 05:32:50,616 TEST : loss 0.14890620 - f-score 0.9618 - acc 0.9618
-2018-12-18 05:32:50,617 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:32:51,011 epoch 110 - iter 0/6098 - loss 0.23136413
-2018-12-18 05:34:58,732 epoch 110 - iter 609/6098 - loss 0.15388259
-2018-12-18 05:37:04,584 epoch 110 - iter 1218/6098 - loss 0.15479403
-2018-12-18 05:39:12,181 epoch 110 - iter 1827/6098 - loss 0.15507050
-2018-12-18 05:41:19,031 epoch 110 - iter 2436/6098 - loss 0.15457060
-2018-12-18 05:43:27,542 epoch 110 - iter 3045/6098 - loss 0.15486422
-2018-12-18 05:45:36,551 epoch 110 - iter 3654/6098 - loss 0.15529635
-2018-12-18 05:47:41,886 epoch 110 - iter 4263/6098 - loss 0.15541535
-2018-12-18 05:49:45,915 epoch 110 - iter 4872/6098 - loss 0.15541719
-2018-12-18 05:51:53,024 epoch 110 - iter 5481/6098 - loss 0.15573655
-2018-12-18 05:54:01,357 epoch 110 - iter 6090/6098 - loss 0.15595410
-2018-12-18 05:54:02,855 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:54:02,855 EPOCH 110 done: loss 0.1559 - lr 0.0500 - bad epochs 1
-2018-12-18 05:56:18,017 TEST : loss 0.14679082 - f-score 0.9619 - acc 0.9619
-2018-12-18 05:56:18,018 ----------------------------------------------------------------------------------------------------
-2018-12-18 05:56:18,374 epoch 111 - iter 0/6098 - loss 0.09546623
-2018-12-18 05:58:24,639 epoch 111 - iter 609/6098 - loss 0.15149538
-2018-12-18 06:00:30,975 epoch 111 - iter 1218/6098 - loss 0.15446710
-2018-12-18 06:02:37,620 epoch 111 - iter 1827/6098 - loss 0.15460347
-2018-12-18 06:04:44,324 epoch 111 - iter 2436/6098 - loss 0.15490977
-2018-12-18 06:06:52,994 epoch 111 - iter 3045/6098 - loss 0.15473494
-2018-12-18 06:09:01,142 epoch 111 - iter 3654/6098 - loss 0.15497584
-2018-12-18 06:11:08,764 epoch 111 - iter 4263/6098 - loss 0.15569797
-2018-12-18 06:13:27,556 epoch 111 - iter 4872/6098 - loss 0.15604473
-2018-12-18 06:15:34,755 epoch 111 - iter 5481/6098 - loss 0.15603983
-2018-12-18 06:17:43,321 epoch 111 - iter 6090/6098 - loss 0.15595978
-2018-12-18 06:17:44,605 ----------------------------------------------------------------------------------------------------
-2018-12-18 06:17:44,605 EPOCH 111 done: loss 0.1560 - lr 0.0500 - bad epochs 2
-2018-12-18 06:19:57,948 TEST : loss 0.14741516 - f-score 0.9625 - acc 0.9625
-2018-12-18 06:19:57,950 ----------------------------------------------------------------------------------------------------
-2018-12-18 06:19:58,314 epoch 112 - iter 0/6098 - loss 0.18739140
-2018-12-18 06:22:05,447 epoch 112 - iter 609/6098 - loss 0.14793114
-2018-12-18 06:24:15,478 epoch 112 - iter 1218/6098 - loss 0.15097141
-2018-12-18 06:26:21,159 epoch 112 - iter 1827/6098 - loss 0.15081496
-2018-12-18 06:28:27,013 epoch 112 - iter 2436/6098 - loss 0.15119858
-2018-12-18 06:30:36,007 epoch 112 - iter 3045/6098 - loss 0.15178417
-2018-12-18 06:32:45,043 epoch 112 - iter 3654/6098 - loss 0.15092003
-2018-12-18 06:34:54,542 epoch 112 - iter 4263/6098 - loss 0.15096964
-2018-12-18 06:37:00,325 epoch 112 - iter 4872/6098 - loss 0.15076074
-2018-12-18 06:39:06,159 epoch 112 - iter 5481/6098 - loss 0.15061560
-2018-12-18 06:41:14,082 epoch 112 - iter 6090/6098 - loss 0.15047226
-2018-12-18 06:41:15,495 ----------------------------------------------------------------------------------------------------
-2018-12-18 06:41:15,495 EPOCH 112 done: loss 0.1505 - lr 0.0250 - bad epochs 0
-2018-12-18 06:43:28,534 TEST : loss 0.14653952 - f-score 0.9626 - acc 0.9626
-2018-12-18 06:43:28,535 ----------------------------------------------------------------------------------------------------
-2018-12-18 06:43:28,890 epoch 113 - iter 0/6098 - loss 0.10755701
-2018-12-18 06:45:36,190 epoch 113 - iter 609/6098 - loss 0.14841265
-2018-12-18 06:47:42,288 epoch 113 - iter 1218/6098 - loss 0.14906953
-2018-12-18 06:49:47,687 epoch 113 - iter 1827/6098 - loss 0.14928544
-2018-12-18 06:51:53,296 epoch 113 - iter 2436/6098 - loss 0.14925419
-2018-12-18 06:54:00,420 epoch 113 - iter 3045/6098 - loss 0.14981913
-2018-12-18 06:56:08,003 epoch 113 - iter 3654/6098 - loss 0.14990768
-2018-12-18 06:58:16,063 epoch 113 - iter 4263/6098 - loss 0.14935942
-2018-12-18 07:00:21,503 epoch 113 - iter 4872/6098 - loss 0.14905964
-2018-12-18 07:02:29,442 epoch 113 - iter 5481/6098 - loss 0.14889332
-2018-12-18 07:04:36,319 epoch 113 - iter 6090/6098 - loss 0.14900672
-2018-12-18 07:04:37,939 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:04:37,939 EPOCH 113 done: loss 0.1490 - lr 0.0250 - bad epochs 0
-2018-12-18 07:06:53,108 TEST : loss 0.14690609 - f-score 0.9626 - acc 0.9626
-2018-12-18 07:06:53,109 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:06:53,540 epoch 114 - iter 0/6098 - loss 0.08252219
-2018-12-18 07:08:59,469 epoch 114 - iter 609/6098 - loss 0.14952347
-2018-12-18 07:11:10,537 epoch 114 - iter 1218/6098 - loss 0.14797436
-2018-12-18 07:13:15,537 epoch 114 - iter 1827/6098 - loss 0.14879442
-2018-12-18 07:15:24,610 epoch 114 - iter 2436/6098 - loss 0.14921587
-2018-12-18 07:17:30,171 epoch 114 - iter 3045/6098 - loss 0.14858739
-2018-12-18 07:19:35,469 epoch 114 - iter 3654/6098 - loss 0.14844178
-2018-12-18 07:21:42,295 epoch 114 - iter 4263/6098 - loss 0.14825518
-2018-12-18 07:23:51,638 epoch 114 - iter 4872/6098 - loss 0.14817689
-2018-12-18 07:26:00,387 epoch 114 - iter 5481/6098 - loss 0.14801579
-2018-12-18 07:28:07,871 epoch 114 - iter 6090/6098 - loss 0.14786143
-2018-12-18 07:28:09,181 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:28:09,182 EPOCH 114 done: loss 0.1479 - lr 0.0250 - bad epochs 0
-2018-12-18 07:30:23,450 TEST : loss 0.14658061 - f-score 0.9629 - acc 0.9629
-2018-12-18 07:30:23,452 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:30:23,862 epoch 115 - iter 0/6098 - loss 0.15308490
-2018-12-18 07:32:31,057 epoch 115 - iter 609/6098 - loss 0.14710600
-2018-12-18 07:34:37,669 epoch 115 - iter 1218/6098 - loss 0.14624291
-2018-12-18 07:36:48,462 epoch 115 - iter 1827/6098 - loss 0.14722978
-2018-12-18 07:38:57,090 epoch 115 - iter 2436/6098 - loss 0.14653263
-2018-12-18 07:41:03,836 epoch 115 - iter 3045/6098 - loss 0.14779698
-2018-12-18 07:43:10,888 epoch 115 - iter 3654/6098 - loss 0.14749302
-2018-12-18 07:45:17,819 epoch 115 - iter 4263/6098 - loss 0.14722514
-2018-12-18 07:47:24,182 epoch 115 - iter 4872/6098 - loss 0.14764499
-2018-12-18 07:49:33,508 epoch 115 - iter 5481/6098 - loss 0.14734350
-2018-12-18 07:51:39,226 epoch 115 - iter 6090/6098 - loss 0.14793089
-2018-12-18 07:51:40,592 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:51:40,593 EPOCH 115 done: loss 0.1479 - lr 0.0250 - bad epochs 0
-2018-12-18 07:53:54,138 TEST : loss 0.14651343 - f-score 0.9630 - acc 0.9630
-2018-12-18 07:53:54,140 ----------------------------------------------------------------------------------------------------
-2018-12-18 07:53:54,518 epoch 116 - iter 0/6098 - loss 0.08696746
-2018-12-18 07:56:01,612 epoch 116 - iter 609/6098 - loss 0.14444963
-2018-12-18 07:58:10,683 epoch 116 - iter 1218/6098 - loss 0.14658903
-2018-12-18 08:00:17,280 epoch 116 - iter 1827/6098 - loss 0.14580900
-2018-12-18 08:02:25,475 epoch 116 - iter 2436/6098 - loss 0.14530123
-2018-12-18 08:04:34,015 epoch 116 - iter 3045/6098 - loss 0.14415568
-2018-12-18 08:06:38,591 epoch 116 - iter 3654/6098 - loss 0.14432313
-2018-12-18 08:08:46,161 epoch 116 - iter 4263/6098 - loss 0.14510364
-2018-12-18 08:10:54,895 epoch 116 - iter 4872/6098 - loss 0.14553466
-2018-12-18 08:12:59,623 epoch 116 - iter 5481/6098 - loss 0.14555103
-2018-12-18 08:15:06,726 epoch 116 - iter 6090/6098 - loss 0.14614418
-2018-12-18 08:15:08,575 ----------------------------------------------------------------------------------------------------
-2018-12-18 08:15:08,575 EPOCH 116 done: loss 0.1461 - lr 0.0250 - bad epochs 1
-2018-12-18 08:17:22,206 TEST : loss 0.14706185 - f-score 0.9629 - acc 0.9629
-2018-12-18 08:17:22,207 ----------------------------------------------------------------------------------------------------
-2018-12-18 08:17:22,606 epoch 117 - iter 0/6098 - loss 0.18081528
-2018-12-18 08:19:30,448 epoch 117 - iter 609/6098 - loss 0.14367715
-2018-12-18 08:21:37,083 epoch 117 - iter 1218/6098 - loss 0.14479301
-2018-12-18 08:23:44,016 epoch 117 - iter 1827/6098 - loss 0.14477847
-2018-12-18 08:25:50,588 epoch 117 - iter 2436/6098 - loss 0.14450960
-2018-12-18 08:28:00,851 epoch 117 - iter 3045/6098 - loss 0.14418052
-2018-12-18 08:30:10,161 epoch 117 - iter 3654/6098 - loss 0.14465535
-2018-12-18 08:32:18,799 epoch 117 - iter 4263/6098 - loss 0.14448696
-2018-12-18 08:34:22,973 epoch 117 - iter 4872/6098 - loss 0.14432206
-2018-12-18 08:36:31,309 epoch 117 - iter 5481/6098 - loss 0.14461248
-2018-12-18 08:38:36,668 epoch 117 - iter 6090/6098 - loss 0.14457627
-2018-12-18 08:38:38,021 ----------------------------------------------------------------------------------------------------
-2018-12-18 08:38:38,021 EPOCH 117 done: loss 0.1446 - lr 0.0250 - bad epochs 0
-2018-12-18 08:41:03,212 TEST : loss 0.14605609 - f-score 0.9631 - acc 0.9631
-2018-12-18 08:41:03,213 ----------------------------------------------------------------------------------------------------
-2018-12-18 08:41:03,599 epoch 118 - iter 0/6098 - loss 0.11454001
-2018-12-18 08:43:11,920 epoch 118 - iter 609/6098 - loss 0.14594315
-2018-12-18 08:45:20,017 epoch 118 - iter 1218/6098 - loss 0.14708277
-2018-12-18 08:47:29,886 epoch 118 - iter 1827/6098 - loss 0.14688948
-2018-12-18 08:49:38,653 epoch 118 - iter 2436/6098 - loss 0.14628286
-2018-12-18 08:51:45,213 epoch 118 - iter 3045/6098 - loss 0.14545883
-2018-12-18 08:53:52,502 epoch 118 - iter 3654/6098 - loss 0.14530722
-2018-12-18 08:56:00,378 epoch 118 - iter 4263/6098 - loss 0.14531930
-2018-12-18 08:58:07,880 epoch 118 - iter 4872/6098 - loss 0.14535814
-2018-12-18 09:00:15,620 epoch 118 - iter 5481/6098 - loss 0.14497648
-2018-12-18 09:02:20,163 epoch 118 - iter 6090/6098 - loss 0.14567077
-2018-12-18 09:02:21,623 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:02:21,624 EPOCH 118 done: loss 0.1456 - lr 0.0250 - bad epochs 0
-2018-12-18 09:04:35,797 TEST : loss 0.14500442 - f-score 0.9631 - acc 0.9631
-2018-12-18 09:04:35,799 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:04:36,158 epoch 119 - iter 0/6098 - loss 0.14539875
-2018-12-18 09:06:44,745 epoch 119 - iter 609/6098 - loss 0.13977358
-2018-12-18 09:08:50,550 epoch 119 - iter 1218/6098 - loss 0.14093406
-2018-12-18 09:10:58,085 epoch 119 - iter 1827/6098 - loss 0.14164619
-2018-12-18 09:13:05,607 epoch 119 - iter 2436/6098 - loss 0.14257185
-2018-12-18 09:15:12,705 epoch 119 - iter 3045/6098 - loss 0.14225977
-2018-12-18 09:17:19,957 epoch 119 - iter 3654/6098 - loss 0.14276834
-2018-12-18 09:19:24,994 epoch 119 - iter 4263/6098 - loss 0.14298830
-2018-12-18 09:21:30,100 epoch 119 - iter 4872/6098 - loss 0.14313842
-2018-12-18 09:23:38,244 epoch 119 - iter 5481/6098 - loss 0.14319899
-2018-12-18 09:25:44,806 epoch 119 - iter 6090/6098 - loss 0.14388753
-2018-12-18 09:25:46,306 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:25:46,307 EPOCH 119 done: loss 0.1439 - lr 0.0250 - bad epochs 1
-2018-12-18 09:28:00,980 TEST : loss 0.14568254 - f-score 0.9631 - acc 0.9631
-2018-12-18 09:28:00,982 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:28:01,428 epoch 120 - iter 0/6098 - loss 0.17197402
-2018-12-18 09:30:08,966 epoch 120 - iter 609/6098 - loss 0.14691319
-2018-12-18 09:32:15,964 epoch 120 - iter 1218/6098 - loss 0.14387413
-2018-12-18 09:34:22,642 epoch 120 - iter 1827/6098 - loss 0.14505670
-2018-12-18 09:36:30,225 epoch 120 - iter 2436/6098 - loss 0.14452162
-2018-12-18 09:38:39,364 epoch 120 - iter 3045/6098 - loss 0.14457579
-2018-12-18 09:40:45,950 epoch 120 - iter 3654/6098 - loss 0.14423162
-2018-12-18 09:42:52,204 epoch 120 - iter 4263/6098 - loss 0.14401218
-2018-12-18 09:44:57,155 epoch 120 - iter 4872/6098 - loss 0.14376524
-2018-12-18 09:47:03,491 epoch 120 - iter 5481/6098 - loss 0.14403238
-2018-12-18 09:49:09,084 epoch 120 - iter 6090/6098 - loss 0.14385199
-2018-12-18 09:49:11,201 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:49:11,201 EPOCH 120 done: loss 0.1439 - lr 0.0250 - bad epochs 0
-2018-12-18 09:51:25,777 TEST : loss 0.14534703 - f-score 0.9632 - acc 0.9632
-2018-12-18 09:51:25,778 ----------------------------------------------------------------------------------------------------
-2018-12-18 09:51:26,168 epoch 121 - iter 0/6098 - loss 0.16695054
-2018-12-18 09:53:34,015 epoch 121 - iter 609/6098 - loss 0.14377739
-2018-12-18 09:55:40,644 epoch 121 - iter 1218/6098 - loss 0.14500208
-2018-12-18 09:57:47,363 epoch 121 - iter 1827/6098 - loss 0.14354531
-2018-12-18 09:59:55,352 epoch 121 - iter 2436/6098 - loss 0.14420332
-2018-12-18 10:02:03,027 epoch 121 - iter 3045/6098 - loss 0.14338467
-2018-12-18 10:04:11,916 epoch 121 - iter 3654/6098 - loss 0.14408270
-2018-12-18 10:06:16,804 epoch 121 - iter 4263/6098 - loss 0.14396795
-2018-12-18 10:08:22,894 epoch 121 - iter 4872/6098 - loss 0.14413283
-2018-12-18 10:10:29,386 epoch 121 - iter 5481/6098 - loss 0.14347123
-2018-12-18 10:12:35,658 epoch 121 - iter 6090/6098 - loss 0.14364107
-2018-12-18 10:12:37,290 ----------------------------------------------------------------------------------------------------
-2018-12-18 10:12:37,290 EPOCH 121 done: loss 0.1437 - lr 0.0250 - bad epochs 0
-2018-12-18 10:14:51,237 TEST : loss 0.14526904 - f-score 0.9633 - acc 0.9633
-2018-12-18 10:14:51,238 ----------------------------------------------------------------------------------------------------
-2018-12-18 10:14:51,599 epoch 122 - iter 0/6098 - loss 0.09634411
-2018-12-18 10:16:57,694 epoch 122 - iter 609/6098 - loss 0.13889814
-2018-12-18 10:19:04,123 epoch 122 - iter 1218/6098 - loss 0.14238423
-2018-12-18 10:21:10,206 epoch 122 - iter 1827/6098 - loss 0.14269924
-2018-12-18 10:23:17,165 epoch 122 - iter 2436/6098 - loss 0.14295336
-2018-12-18 10:25:24,718 epoch 122 - iter 3045/6098 - loss 0.14383621
-2018-12-18 10:27:30,518 epoch 122 - iter 3654/6098 - loss 0.14335308
-2018-12-18 10:29:37,655 epoch 122 - iter 4263/6098 - loss 0.14338522
-2018-12-18 10:31:45,245 epoch 122 - iter 4872/6098 - loss 0.14376788
-2018-12-18 10:33:53,868 epoch 122 - iter 5481/6098 - loss 0.14373526
-2018-12-18 10:36:01,139 epoch 122 - iter 6090/6098 - loss 0.14403693
-2018-12-18 10:36:02,405 ----------------------------------------------------------------------------------------------------
-2018-12-18 10:36:02,406 EPOCH 122 done: loss 0.1440 - lr 0.0250 - bad epochs 0
-2018-12-18 10:38:15,749 TEST : loss 0.14584973 - f-score 0.9632 - acc 0.9632
-2018-12-18 10:38:15,750 ----------------------------------------------------------------------------------------------------
-2018-12-18 10:38:16,091 epoch 123 - iter 0/6098 - loss 0.08206833
-2018-12-18 10:40:26,644 epoch 123 - iter 609/6098 - loss 0.13983991
-2018-12-18 10:42:35,047 epoch 123 - iter 1218/6098 - loss 0.14073641
-2018-12-18 10:44:41,970 epoch 123 - iter 1827/6098 - loss 0.14234437
-2018-12-18 10:46:49,474 epoch 123 - iter 2436/6098 - loss 0.14103429
-2018-12-18 10:48:55,715 epoch 123 - iter 3045/6098 - loss 0.14153994
-2018-12-18 10:51:04,017 epoch 123 - iter 3654/6098 - loss 0.14219194
-2018-12-18 10:53:10,529 epoch 123 - iter 4263/6098 - loss 0.14234964
-2018-12-18 10:55:17,032 epoch 123 - iter 4872/6098 - loss 0.14211203
-2018-12-18 10:57:22,880 epoch 123 - iter 5481/6098 - loss 0.14214781
-2018-12-18 10:59:30,743 epoch 123 - iter 6090/6098 - loss 0.14193041
-2018-12-18 10:59:32,157 ----------------------------------------------------------------------------------------------------
-2018-12-18 10:59:32,158 EPOCH 123 done: loss 0.1419 - lr 0.0250 - bad epochs 1
-2018-12-18 11:01:45,878 TEST : loss 0.14647660 - f-score 0.9632 - acc 0.9632
-2018-12-18 11:01:45,880 ----------------------------------------------------------------------------------------------------
-2018-12-18 11:01:46,315 epoch 124 - iter 0/6098 - loss 0.17100640
-2018-12-18 11:03:56,551 epoch 124 - iter 609/6098 - loss 0.13819835
-2018-12-18 11:06:05,222 epoch 124 - iter 1218/6098 - loss 0.14058268
-2018-12-18 11:08:12,102 epoch 124 - iter 1827/6098 - loss 0.14091398
-2018-12-18 11:10:19,429 epoch 124 - iter 2436/6098 - loss 0.14090541
-2018-12-18 11:12:26,499 epoch 124 - iter 3045/6098 - loss 0.14063659
-2018-12-18 11:14:36,729 epoch 124 - iter 3654/6098 - loss 0.14095675
-2018-12-18 11:16:44,338 epoch 124 - iter 4263/6098 - loss 0.14080156
-2018-12-18 11:18:51,523 epoch 124 - iter 4872/6098 - loss 0.14178986
-2018-12-18 11:20:58,709 epoch 124 - iter 5481/6098 - loss 0.14207880
-2018-12-18 11:23:16,519 epoch 124 - iter 6090/6098 - loss 0.14154360
-2018-12-18 11:23:18,348 ----------------------------------------------------------------------------------------------------
-2018-12-18 11:23:18,348 EPOCH 124 done: loss 0.1416 - lr 0.0250 - bad epochs 0
-2018-12-18 11:25:31,601 TEST : loss 0.14664933 - f-score 0.9633 - acc 0.9633
-2018-12-18 11:25:31,603 ----------------------------------------------------------------------------------------------------
-2018-12-18 11:25:31,971 epoch 125 - iter 0/6098 - loss 0.11994164
-2018-12-18 11:27:39,636 epoch 125 - iter 609/6098 - loss 0.13985617
-2018-12-18 11:29:48,892 epoch 125 - iter 1218/6098 - loss 0.14084148
-2018-12-18 11:31:58,601 epoch 125 - iter 1827/6098 - loss 0.14143494
-2018-12-18 11:34:06,976 epoch 125 - iter 2436/6098 - loss 0.14199157
-2018-12-18 11:36:15,286 epoch 125 - iter 3045/6098 - loss 0.14278302
-2018-12-18 11:38:23,436 epoch 125 - iter 3654/6098 - loss 0.14326090
-2018-12-18 11:40:31,272 epoch 125 - iter 4263/6098 - loss 0.14309491
-2018-12-18 11:42:37,855 epoch 125 - iter 4872/6098 - loss 0.14317108
-2018-12-18 11:44:41,999 epoch 125 - iter 5481/6098 - loss 0.14309309
-2018-12-18 11:46:46,859 epoch 125 - iter 6090/6098 - loss 0.14333344
-2018-12-18 11:46:48,094 ----------------------------------------------------------------------------------------------------
-2018-12-18 11:46:48,094 EPOCH 125 done: loss 0.1433 - lr 0.0250 - bad epochs 0
-2018-12-18 11:49:02,120 TEST : loss 0.14595404 - f-score 0.9635 - acc 0.9635
-2018-12-18 11:49:02,122 ----------------------------------------------------------------------------------------------------
-2018-12-18 11:49:02,571 epoch 126 - iter 0/6098 - loss 0.09807895
-2018-12-18 11:51:09,964 epoch 126 - iter 609/6098 - loss 0.14120523
-2018-12-18 11:53:18,454 epoch 126 - iter 1218/6098 - loss 0.14235142
-2018-12-18 11:55:26,928 epoch 126 - iter 1827/6098 - loss 0.14292462
-2018-12-18 11:57:33,442 epoch 126 - iter 2436/6098 - loss 0.14338101
-2018-12-18 11:59:39,725 epoch 126 - iter 3045/6098 - loss 0.14288010
-2018-12-18 12:01:46,678 epoch 126 - iter 3654/6098 - loss 0.14217972
-2018-12-18 12:03:54,924 epoch 126 - iter 4263/6098 - loss 0.14199588
-2018-12-18 12:06:00,910 epoch 126 - iter 4872/6098 - loss 0.14194300
-2018-12-18 12:08:07,498 epoch 126 - iter 5481/6098 - loss 0.14214377
-2018-12-18 12:10:14,933 epoch 126 - iter 6090/6098 - loss 0.14193672
-2018-12-18 12:10:16,361 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:10:16,361 EPOCH 126 done: loss 0.1419 - lr 0.0250 - bad epochs 1
-2018-12-18 12:12:31,284 TEST : loss 0.14632080 - f-score 0.9634 - acc 0.9634
-2018-12-18 12:12:31,285 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:12:31,716 epoch 127 - iter 0/6098 - loss 0.09603538
-2018-12-18 12:14:39,829 epoch 127 - iter 609/6098 - loss 0.14189073
-2018-12-18 12:16:46,088 epoch 127 - iter 1218/6098 - loss 0.14219814
-2018-12-18 12:18:52,832 epoch 127 - iter 1827/6098 - loss 0.14221652
-2018-12-18 12:20:58,381 epoch 127 - iter 2436/6098 - loss 0.14134114
-2018-12-18 12:23:06,748 epoch 127 - iter 3045/6098 - loss 0.14168270
-2018-12-18 12:25:16,758 epoch 127 - iter 3654/6098 - loss 0.14159414
-2018-12-18 12:27:22,312 epoch 127 - iter 4263/6098 - loss 0.14143519
-2018-12-18 12:29:28,328 epoch 127 - iter 4872/6098 - loss 0.14180318
-2018-12-18 12:31:35,300 epoch 127 - iter 5481/6098 - loss 0.14221132
-2018-12-18 12:33:43,879 epoch 127 - iter 6090/6098 - loss 0.14172225
-2018-12-18 12:33:45,354 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:33:45,355 EPOCH 127 done: loss 0.1417 - lr 0.0250 - bad epochs 2
-2018-12-18 12:36:00,691 TEST : loss 0.14631277 - f-score 0.9636 - acc 0.9636
-2018-12-18 12:36:00,692 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:36:01,060 epoch 128 - iter 0/6098 - loss 0.36164245
-2018-12-18 12:38:08,342 epoch 128 - iter 609/6098 - loss 0.13910942
-2018-12-18 12:40:15,760 epoch 128 - iter 1218/6098 - loss 0.13873147
-2018-12-18 12:42:23,326 epoch 128 - iter 1827/6098 - loss 0.14014383
-2018-12-18 12:44:28,699 epoch 128 - iter 2436/6098 - loss 0.13930873
-2018-12-18 12:46:38,000 epoch 128 - iter 3045/6098 - loss 0.13909123
-2018-12-18 12:48:46,322 epoch 128 - iter 3654/6098 - loss 0.13897016
-2018-12-18 12:50:50,963 epoch 128 - iter 4263/6098 - loss 0.13881882
-2018-12-18 12:52:55,844 epoch 128 - iter 4872/6098 - loss 0.13896925
-2018-12-18 12:55:03,354 epoch 128 - iter 5481/6098 - loss 0.13873547
-2018-12-18 12:57:11,985 epoch 128 - iter 6090/6098 - loss 0.13875500
-2018-12-18 12:57:13,420 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:57:13,420 EPOCH 128 done: loss 0.1387 - lr 0.0125 - bad epochs 0
-2018-12-18 12:59:27,045 TEST : loss 0.14629686 - f-score 0.9638 - acc 0.9638
-2018-12-18 12:59:27,046 ----------------------------------------------------------------------------------------------------
-2018-12-18 12:59:27,417 epoch 129 - iter 0/6098 - loss 0.20457339
-2018-12-18 13:01:34,863 epoch 129 - iter 609/6098 - loss 0.13541903
-2018-12-18 13:03:43,257 epoch 129 - iter 1218/6098 - loss 0.13610853
-2018-12-18 13:05:47,702 epoch 129 - iter 1827/6098 - loss 0.13701260
-2018-12-18 13:07:55,099 epoch 129 - iter 2436/6098 - loss 0.13679948
-2018-12-18 13:10:02,557 epoch 129 - iter 3045/6098 - loss 0.13733764
-2018-12-18 13:12:10,714 epoch 129 - iter 3654/6098 - loss 0.13774936
-2018-12-18 13:14:21,082 epoch 129 - iter 4263/6098 - loss 0.13777377
-2018-12-18 13:16:27,865 epoch 129 - iter 4872/6098 - loss 0.13769737
-2018-12-18 13:18:34,099 epoch 129 - iter 5481/6098 - loss 0.13782159
-2018-12-18 13:20:41,365 epoch 129 - iter 6090/6098 - loss 0.13762540
-2018-12-18 13:20:42,639 ----------------------------------------------------------------------------------------------------
-2018-12-18 13:20:42,639 EPOCH 129 done: loss 0.1376 - lr 0.0125 - bad epochs 0
-2018-12-18 13:22:56,168 TEST : loss 0.14645828 - f-score 0.9639 - acc 0.9639
-2018-12-18 13:22:56,169 ----------------------------------------------------------------------------------------------------
-2018-12-18 13:22:56,538 epoch 130 - iter 0/6098 - loss 0.16439790
-2018-12-18 13:25:04,408 epoch 130 - iter 609/6098 - loss 0.14128580
-2018-12-18 13:27:12,140 epoch 130 - iter 1218/6098 - loss 0.13970206
-2018-12-18 13:29:18,476 epoch 130 - iter 1827/6098 - loss 0.13916685
-2018-12-18 13:31:23,323 epoch 130 - iter 2436/6098 - loss 0.13924111
-2018-12-18 13:33:29,081 epoch 130 - iter 3045/6098 - loss 0.13825182
-2018-12-18 13:35:35,660 epoch 130 - iter 3654/6098 - loss 0.13840354
-2018-12-18 13:37:43,763 epoch 130 - iter 4263/6098 - loss 0.13835828
-2018-12-18 13:39:52,014 epoch 130 - iter 4872/6098 - loss 0.13833266
-2018-12-18 13:42:00,996 epoch 130 - iter 5481/6098 - loss 0.13838226
-2018-12-18 13:44:09,857 epoch 130 - iter 6090/6098 - loss 0.13803161
-2018-12-18 13:44:11,212 ----------------------------------------------------------------------------------------------------
-2018-12-18 13:44:11,213 EPOCH 130 done: loss 0.1380 - lr 0.0125 - bad epochs 0
-2018-12-18 13:46:24,400 TEST : loss 0.14681524 - f-score 0.9639 - acc 0.9639
-2018-12-18 13:46:24,401 ----------------------------------------------------------------------------------------------------
-2018-12-18 13:46:24,799 epoch 131 - iter 0/6098 - loss 0.11881600
-2018-12-18 13:48:33,066 epoch 131 - iter 609/6098 - loss 0.13889842
-2018-12-18 13:50:51,888 epoch 131 - iter 1218/6098 - loss 0.13755398
-2018-12-18 13:53:00,493 epoch 131 - iter 1827/6098 - loss 0.13589896
-2018-12-18 13:55:06,790 epoch 131 - iter 2436/6098 - loss 0.13627557
-2018-12-18 13:57:14,733 epoch 131 - iter 3045/6098 - loss 0.13632249
-2018-12-18 13:59:24,247 epoch 131 - iter 3654/6098 - loss 0.13642548
-2018-12-18 14:01:32,412 epoch 131 - iter 4263/6098 - loss 0.13627870
-2018-12-18 14:03:40,441 epoch 131 - iter 4872/6098 - loss 0.13636553
-2018-12-18 14:05:50,085 epoch 131 - iter 5481/6098 - loss 0.13677827
-2018-12-18 14:07:55,316 epoch 131 - iter 6090/6098 - loss 0.13693451
-2018-12-18 14:07:56,766 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:07:56,767 EPOCH 131 done: loss 0.1369 - lr 0.0125 - bad epochs 1
-2018-12-18 14:10:12,534 TEST : loss 0.14606458 - f-score 0.9640 - acc 0.9640
-2018-12-18 14:10:12,536 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:10:12,917 epoch 132 - iter 0/6098 - loss 0.11390142
-2018-12-18 14:12:20,098 epoch 132 - iter 609/6098 - loss 0.13817646
-2018-12-18 14:14:28,135 epoch 132 - iter 1218/6098 - loss 0.13736258
-2018-12-18 14:16:34,493 epoch 132 - iter 1827/6098 - loss 0.13651754
-2018-12-18 14:18:46,237 epoch 132 - iter 2436/6098 - loss 0.13641112
-2018-12-18 14:20:54,294 epoch 132 - iter 3045/6098 - loss 0.13754518
-2018-12-18 14:23:01,125 epoch 132 - iter 3654/6098 - loss 0.13812040
-2018-12-18 14:25:07,453 epoch 132 - iter 4263/6098 - loss 0.13820893
-2018-12-18 14:27:15,053 epoch 132 - iter 4872/6098 - loss 0.13782579
-2018-12-18 14:29:23,179 epoch 132 - iter 5481/6098 - loss 0.13800130
-2018-12-18 14:31:32,429 epoch 132 - iter 6090/6098 - loss 0.13763649
-2018-12-18 14:31:33,822 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:31:33,822 EPOCH 132 done: loss 0.1376 - lr 0.0125 - bad epochs 0
-2018-12-18 14:33:48,370 TEST : loss 0.14715627 - f-score 0.9640 - acc 0.9640
-2018-12-18 14:33:48,371 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:33:48,764 epoch 133 - iter 0/6098 - loss 0.09959979
-2018-12-18 14:35:57,718 epoch 133 - iter 609/6098 - loss 0.13600106
-2018-12-18 14:38:08,188 epoch 133 - iter 1218/6098 - loss 0.13638028
-2018-12-18 14:40:14,321 epoch 133 - iter 1827/6098 - loss 0.13617008
-2018-12-18 14:42:22,241 epoch 133 - iter 2436/6098 - loss 0.13553945
-2018-12-18 14:44:29,684 epoch 133 - iter 3045/6098 - loss 0.13564057
-2018-12-18 14:46:36,291 epoch 133 - iter 3654/6098 - loss 0.13528192
-2018-12-18 14:48:41,342 epoch 133 - iter 4263/6098 - loss 0.13490382
-2018-12-18 14:50:50,648 epoch 133 - iter 4872/6098 - loss 0.13507882
-2018-12-18 14:52:59,053 epoch 133 - iter 5481/6098 - loss 0.13551699
-2018-12-18 14:55:09,955 epoch 133 - iter 6090/6098 - loss 0.13605686
-2018-12-18 14:55:11,366 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:55:11,367 EPOCH 133 done: loss 0.1361 - lr 0.0125 - bad epochs 1
-2018-12-18 14:57:26,659 TEST : loss 0.14688754 - f-score 0.9640 - acc 0.9640
-2018-12-18 14:57:26,660 ----------------------------------------------------------------------------------------------------
-2018-12-18 14:57:27,083 epoch 134 - iter 0/6098 - loss 0.15226659
-2018-12-18 14:59:35,423 epoch 134 - iter 609/6098 - loss 0.13816519
-2018-12-18 15:01:41,403 epoch 134 - iter 1218/6098 - loss 0.13760604
-2018-12-18 15:03:48,782 epoch 134 - iter 1827/6098 - loss 0.13762067
-2018-12-18 15:05:55,692 epoch 134 - iter 2436/6098 - loss 0.13791544
-2018-12-18 15:08:02,875 epoch 134 - iter 3045/6098 - loss 0.13825292
-2018-12-18 15:10:10,090 epoch 134 - iter 3654/6098 - loss 0.13786087
-2018-12-18 15:12:17,225 epoch 134 - iter 4263/6098 - loss 0.13805347
-2018-12-18 15:14:24,825 epoch 134 - iter 4872/6098 - loss 0.13807752
-2018-12-18 15:16:32,383 epoch 134 - iter 5481/6098 - loss 0.13751187
-2018-12-18 15:18:40,923 epoch 134 - iter 6090/6098 - loss 0.13758433
-2018-12-18 15:18:42,459 ----------------------------------------------------------------------------------------------------
-2018-12-18 15:18:42,460 EPOCH 134 done: loss 0.1376 - lr 0.0125 - bad epochs 0
-2018-12-18 15:20:56,412 TEST : loss 0.14604175 - f-score 0.9641 - acc 0.9641
-2018-12-18 15:20:56,413 ----------------------------------------------------------------------------------------------------
-2018-12-18 15:20:56,819 epoch 135 - iter 0/6098 - loss 0.09512006
-2018-12-18 15:23:06,746 epoch 135 - iter 609/6098 - loss 0.13590826
-2018-12-18 15:25:14,546 epoch 135 - iter 1218/6098 - loss 0.13873428
-2018-12-18 15:27:23,408 epoch 135 - iter 1827/6098 - loss 0.13729616
-2018-12-18 15:29:30,635 epoch 135 - iter 2436/6098 - loss 0.13658981
-2018-12-18 15:31:38,191 epoch 135 - iter 3045/6098 - loss 0.13598764
-2018-12-18 15:33:44,022 epoch 135 - iter 3654/6098 - loss 0.13572239
-2018-12-18 15:35:51,469 epoch 135 - iter 4263/6098 - loss 0.13561769
-2018-12-18 15:37:59,535 epoch 135 - iter 4872/6098 - loss 0.13528482
-2018-12-18 15:40:06,655 epoch 135 - iter 5481/6098 - loss 0.13584389
-2018-12-18 15:42:12,143 epoch 135 - iter 6090/6098 - loss 0.13586006
-2018-12-18 15:42:13,468 ----------------------------------------------------------------------------------------------------
-2018-12-18 15:42:13,468 EPOCH 135 done: loss 0.1359 - lr 0.0125 - bad epochs 1
-2018-12-18 15:44:27,750 TEST : loss 0.14683227 - f-score 0.9640 - acc 0.9640
-2018-12-18 15:44:27,751 ----------------------------------------------------------------------------------------------------
-2018-12-18 15:44:28,182 epoch 136 - iter 0/6098 - loss 0.16978183
-2018-12-18 15:46:35,216 epoch 136 - iter 609/6098 - loss 0.13296313
-2018-12-18 15:48:42,656 epoch 136 - iter 1218/6098 - loss 0.13422072
-2018-12-18 15:50:49,987 epoch 136 - iter 1827/6098 - loss 0.13564397
-2018-12-18 15:52:59,674 epoch 136 - iter 2436/6098 - loss 0.13609103
-2018-12-18 15:55:06,905 epoch 136 - iter 3045/6098 - loss 0.13560028
-2018-12-18 15:57:13,852 epoch 136 - iter 3654/6098 - loss 0.13569512
-2018-12-18 15:59:21,364 epoch 136 - iter 4263/6098 - loss 0.13589812
-2018-12-18 16:01:27,566 epoch 136 - iter 4872/6098 - loss 0.13570714
-2018-12-18 16:03:36,489 epoch 136 - iter 5481/6098 - loss 0.13599225
-2018-12-18 16:05:41,229 epoch 136 - iter 6090/6098 - loss 0.13596834
-2018-12-18 16:05:42,811 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:05:42,811 EPOCH 136 done: loss 0.1360 - lr 0.0125 - bad epochs 0
-2018-12-18 16:07:57,189 TEST : loss 0.14651541 - f-score 0.9641 - acc 0.9641
-2018-12-18 16:07:57,190 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:07:57,594 epoch 137 - iter 0/6098 - loss 0.21203694
-2018-12-18 16:10:04,018 epoch 137 - iter 609/6098 - loss 0.13087666
-2018-12-18 16:12:12,703 epoch 137 - iter 1218/6098 - loss 0.13430903
-2018-12-18 16:14:20,428 epoch 137 - iter 1827/6098 - loss 0.13351663
-2018-12-18 16:16:27,114 epoch 137 - iter 2436/6098 - loss 0.13433927
-2018-12-18 16:18:33,364 epoch 137 - iter 3045/6098 - loss 0.13437231
-2018-12-18 16:20:42,188 epoch 137 - iter 3654/6098 - loss 0.13420308
-2018-12-18 16:22:50,099 epoch 137 - iter 4263/6098 - loss 0.13444920
-2018-12-18 16:24:57,527 epoch 137 - iter 4872/6098 - loss 0.13464711
-2018-12-18 16:27:04,800 epoch 137 - iter 5481/6098 - loss 0.13521727
-2018-12-18 16:29:12,027 epoch 137 - iter 6090/6098 - loss 0.13533498
-2018-12-18 16:29:13,448 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:29:13,448 EPOCH 137 done: loss 0.1354 - lr 0.0125 - bad epochs 1
-2018-12-18 16:31:41,840 TEST : loss 0.14602134 - f-score 0.9642 - acc 0.9642
-2018-12-18 16:31:41,841 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:31:42,346 epoch 138 - iter 0/6098 - loss 0.09894243
-2018-12-18 16:33:50,221 epoch 138 - iter 609/6098 - loss 0.13068082
-2018-12-18 16:35:59,159 epoch 138 - iter 1218/6098 - loss 0.13297687
-2018-12-18 16:38:06,180 epoch 138 - iter 1827/6098 - loss 0.13332794
-2018-12-18 16:40:12,271 epoch 138 - iter 2436/6098 - loss 0.13464926
-2018-12-18 16:42:18,802 epoch 138 - iter 3045/6098 - loss 0.13529440
-2018-12-18 16:44:27,768 epoch 138 - iter 3654/6098 - loss 0.13588869
-2018-12-18 16:46:33,035 epoch 138 - iter 4263/6098 - loss 0.13585363
-2018-12-18 16:48:40,120 epoch 138 - iter 4872/6098 - loss 0.13574191
-2018-12-18 16:50:46,980 epoch 138 - iter 5481/6098 - loss 0.13605641
-2018-12-18 16:52:54,005 epoch 138 - iter 6090/6098 - loss 0.13589819
-2018-12-18 16:52:55,393 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:52:55,393 EPOCH 138 done: loss 0.1359 - lr 0.0125 - bad epochs 0
-2018-12-18 16:55:09,858 TEST : loss 0.14638376 - f-score 0.9641 - acc 0.9641
-2018-12-18 16:55:09,860 ----------------------------------------------------------------------------------------------------
-2018-12-18 16:55:10,263 epoch 139 - iter 0/6098 - loss 0.10999114
-2018-12-18 16:57:18,185 epoch 139 - iter 609/6098 - loss 0.13465359
-2018-12-18 16:59:24,042 epoch 139 - iter 1218/6098 - loss 0.13742142
-2018-12-18 17:01:32,814 epoch 139 - iter 1827/6098 - loss 0.13646131
-2018-12-18 17:03:40,475 epoch 139 - iter 2436/6098 - loss 0.13654509
-2018-12-18 17:05:48,268 epoch 139 - iter 3045/6098 - loss 0.13598000
-2018-12-18 17:07:56,021 epoch 139 - iter 3654/6098 - loss 0.13576304
-2018-12-18 17:10:04,964 epoch 139 - iter 4263/6098 - loss 0.13625504
-2018-12-18 17:12:14,022 epoch 139 - iter 4872/6098 - loss 0.13561785
-2018-12-18 17:14:23,014 epoch 139 - iter 5481/6098 - loss 0.13525925
-2018-12-18 17:16:30,716 epoch 139 - iter 6090/6098 - loss 0.13547164
-2018-12-18 17:16:32,085 ----------------------------------------------------------------------------------------------------
-2018-12-18 17:16:32,085 EPOCH 139 done: loss 0.1355 - lr 0.0125 - bad epochs 1
-2018-12-18 17:18:45,643 TEST : loss 0.14590771 - f-score 0.9642 - acc 0.9642
-2018-12-18 17:18:45,645 ----------------------------------------------------------------------------------------------------
-2018-12-18 17:18:46,195 epoch 140 - iter 0/6098 - loss 0.11405981
-2018-12-18 17:20:54,302 epoch 140 - iter 609/6098 - loss 0.13451321
-2018-12-18 17:23:04,226 epoch 140 - iter 1218/6098 - loss 0.13601701
-2018-12-18 17:25:13,413 epoch 140 - iter 1827/6098 - loss 0.13608665
-2018-12-18 17:27:17,991 epoch 140 - iter 2436/6098 - loss 0.13443242
-2018-12-18 17:29:26,403 epoch 140 - iter 3045/6098 - loss 0.13429300
-2018-12-18 17:31:32,589 epoch 140 - iter 3654/6098 - loss 0.13494735
-2018-12-18 17:33:38,492 epoch 140 - iter 4263/6098 - loss 0.13579503
-2018-12-18 17:35:47,981 epoch 140 - iter 4872/6098 - loss 0.13563330
-2018-12-18 17:37:58,898 epoch 140 - iter 5481/6098 - loss 0.13542649
-2018-12-18 17:40:06,158 epoch 140 - iter 6090/6098 - loss 0.13505282
-2018-12-18 17:40:07,533 ----------------------------------------------------------------------------------------------------
-2018-12-18 17:40:07,534 EPOCH 140 done: loss 0.1350 - lr 0.0125 - bad epochs 2
-2018-12-18 17:42:22,107 TEST : loss 0.14620934 - f-score 0.9642 - acc 0.9642
-2018-12-18 17:42:22,108 ----------------------------------------------------------------------------------------------------
-2018-12-18 17:42:22,494 epoch 141 - iter 0/6098 - loss 0.09855907
-2018-12-18 17:44:30,839 epoch 141 - iter 609/6098 - loss 0.13374925
-2018-12-18 17:46:39,012 epoch 141 - iter 1218/6098 - loss 0.13474868
-2018-12-18 17:48:47,168 epoch 141 - iter 1827/6098 - loss 0.13462262
-2018-12-18 17:50:53,333 epoch 141 - iter 2436/6098 - loss 0.13463363
-2018-12-18 17:53:00,392 epoch 141 - iter 3045/6098 - loss 0.13433019
-2018-12-18 17:55:06,644 epoch 141 - iter 3654/6098 - loss 0.13435033
-2018-12-18 17:57:13,582 epoch 141 - iter 4263/6098 - loss 0.13442643
-2018-12-18 17:59:21,742 epoch 141 - iter 4872/6098 - loss 0.13492996
-2018-12-18 18:01:27,978 epoch 141 - iter 5481/6098 - loss 0.13491606
-2018-12-18 18:03:37,299 epoch 141 - iter 6090/6098 - loss 0.13479098
-2018-12-18 18:03:38,734 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:03:38,734 EPOCH 141 done: loss 0.1348 - lr 0.0125 - bad epochs 0
-2018-12-18 18:05:53,181 TEST : loss 0.14632842 - f-score 0.9641 - acc 0.9641
-2018-12-18 18:05:53,182 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:05:53,567 epoch 142 - iter 0/6098 - loss 0.11217281
-2018-12-18 18:08:03,205 epoch 142 - iter 609/6098 - loss 0.12833328
-2018-12-18 18:10:10,900 epoch 142 - iter 1218/6098 - loss 0.13206037
-2018-12-18 18:12:18,245 epoch 142 - iter 1827/6098 - loss 0.13118443
-2018-12-18 18:14:27,163 epoch 142 - iter 2436/6098 - loss 0.13155982
-2018-12-18 18:16:37,731 epoch 142 - iter 3045/6098 - loss 0.13208684
-2018-12-18 18:18:44,389 epoch 142 - iter 3654/6098 - loss 0.13236837
-2018-12-18 18:20:52,533 epoch 142 - iter 4263/6098 - loss 0.13323671
-2018-12-18 18:23:00,021 epoch 142 - iter 4872/6098 - loss 0.13382649
-2018-12-18 18:25:09,334 epoch 142 - iter 5481/6098 - loss 0.13415196
-2018-12-18 18:27:14,513 epoch 142 - iter 6090/6098 - loss 0.13419316
-2018-12-18 18:27:16,053 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:27:16,054 EPOCH 142 done: loss 0.1342 - lr 0.0125 - bad epochs 0
-2018-12-18 18:29:30,995 TEST : loss 0.14580818 - f-score 0.9645 - acc 0.9645
-2018-12-18 18:29:30,996 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:29:31,354 epoch 143 - iter 0/6098 - loss 0.09567282
-2018-12-18 18:31:37,624 epoch 143 - iter 609/6098 - loss 0.13417849
-2018-12-18 18:33:44,640 epoch 143 - iter 1218/6098 - loss 0.13308895
-2018-12-18 18:35:53,391 epoch 143 - iter 1827/6098 - loss 0.13366537
-2018-12-18 18:38:02,754 epoch 143 - iter 2436/6098 - loss 0.13435426
-2018-12-18 18:40:08,095 epoch 143 - iter 3045/6098 - loss 0.13547328
-2018-12-18 18:42:15,735 epoch 143 - iter 3654/6098 - loss 0.13547452
-2018-12-18 18:44:22,794 epoch 143 - iter 4263/6098 - loss 0.13533165
-2018-12-18 18:46:31,307 epoch 143 - iter 4872/6098 - loss 0.13518753
-2018-12-18 18:48:38,755 epoch 143 - iter 5481/6098 - loss 0.13503664
-2018-12-18 18:50:47,056 epoch 143 - iter 6090/6098 - loss 0.13505038
-2018-12-18 18:50:48,381 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:50:48,382 EPOCH 143 done: loss 0.1350 - lr 0.0125 - bad epochs 0
-2018-12-18 18:53:03,097 TEST : loss 0.14685741 - f-score 0.9643 - acc 0.9643
-2018-12-18 18:53:03,098 ----------------------------------------------------------------------------------------------------
-2018-12-18 18:53:03,468 epoch 144 - iter 0/6098 - loss 0.11305531
-2018-12-18 18:55:09,755 epoch 144 - iter 609/6098 - loss 0.13185104
-2018-12-18 18:57:19,279 epoch 144 - iter 1218/6098 - loss 0.13325001
-2018-12-18 18:59:26,585 epoch 144 - iter 1827/6098 - loss 0.13301358
-2018-12-18 19:01:50,172 epoch 144 - iter 2436/6098 - loss 0.13384109
-2018-12-18 19:03:57,899 epoch 144 - iter 3045/6098 - loss 0.13500871
-2018-12-18 19:06:05,851 epoch 144 - iter 3654/6098 - loss 0.13479819
-2018-12-18 19:08:15,054 epoch 144 - iter 4263/6098 - loss 0.13515511
-2018-12-18 19:10:22,621 epoch 144 - iter 4872/6098 - loss 0.13544385
-2018-12-18 19:12:29,347 epoch 144 - iter 5481/6098 - loss 0.13518363
-2018-12-18 19:14:36,601 epoch 144 - iter 6090/6098 - loss 0.13488439
-2018-12-18 19:14:37,982 ----------------------------------------------------------------------------------------------------
-2018-12-18 19:14:37,983 EPOCH 144 done: loss 0.1349 - lr 0.0125 - bad epochs 1
-2018-12-18 19:16:51,826 TEST : loss 0.14662552 - f-score 0.9643 - acc 0.9643
-2018-12-18 19:16:51,827 ----------------------------------------------------------------------------------------------------
-2018-12-18 19:16:52,177 epoch 145 - iter 0/6098 - loss 0.10007294
-2018-12-18 19:18:58,936 epoch 145 - iter 609/6098 - loss 0.13507382
-2018-12-18 19:21:06,427 epoch 145 - iter 1218/6098 - loss 0.13448344
-2018-12-18 19:23:12,676 epoch 145 - iter 1827/6098 - loss 0.13377878
-2018-12-18 19:25:21,168 epoch 145 - iter 2436/6098 - loss 0.13426305
-2018-12-18 19:27:29,604 epoch 145 - iter 3045/6098 - loss 0.13322487
-2018-12-18 19:29:39,284 epoch 145 - iter 3654/6098 - loss 0.13352744
-2018-12-18 19:31:47,391 epoch 145 - iter 4263/6098 - loss 0.13318406
-2018-12-18 19:33:55,165 epoch 145 - iter 4872/6098 - loss 0.13340550
-2018-12-18 19:36:01,508 epoch 145 - iter 5481/6098 - loss 0.13354969
-2018-12-18 19:38:08,202 epoch 145 - iter 6090/6098 - loss 0.13318430
-2018-12-18 19:38:09,675 ----------------------------------------------------------------------------------------------------
-2018-12-18 19:38:09,676 EPOCH 145 done: loss 0.1332 - lr 0.0125 - bad epochs 2
-2018-12-18 19:40:23,217 TEST : loss 0.14723252 - f-score 0.9645 - acc 0.9645
-2018-12-18 19:40:23,218 ----------------------------------------------------------------------------------------------------
-2018-12-18 19:40:23,562 epoch 146 - iter 0/6098 - loss 0.18486638
-2018-12-18 19:42:29,309 epoch 146 - iter 609/6098 - loss 0.13136782
-2018-12-18 19:44:39,259 epoch 146 - iter 1218/6098 - loss 0.13185115
-2018-12-18 19:46:47,926 epoch 146 - iter 1827/6098 - loss 0.13255381
-2018-12-18 19:48:57,148 epoch 146 - iter 2436/6098 - loss 0.13231465
-2018-12-18 19:51:03,424 epoch 146 - iter 3045/6098 - loss 0.13180555
-2018-12-18 19:53:12,064 epoch 146 - iter 3654/6098 - loss 0.13278417
-2018-12-18 19:55:20,221 epoch 146 - iter 4263/6098 - loss 0.13274205
-2018-12-18 19:57:26,639 epoch 146 - iter 4872/6098 - loss 0.13329531
-2018-12-18 19:59:31,918 epoch 146 - iter 5481/6098 - loss 0.13297371
-2018-12-18 20:01:37,882 epoch 146 - iter 6090/6098 - loss 0.13296696
-2018-12-18 20:01:39,332 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:01:39,333 EPOCH 146 done: loss 0.1330 - lr 0.0125 - bad epochs 0
-2018-12-18 20:03:53,578 TEST : loss 0.14652629 - f-score 0.9644 - acc 0.9644
-2018-12-18 20:03:53,580 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:03:54,041 epoch 147 - iter 0/6098 - loss 0.06587592
-2018-12-18 20:06:01,241 epoch 147 - iter 609/6098 - loss 0.13016435
-2018-12-18 20:08:08,125 epoch 147 - iter 1218/6098 - loss 0.13110665
-2018-12-18 20:10:16,895 epoch 147 - iter 1827/6098 - loss 0.13195611
-2018-12-18 20:12:26,976 epoch 147 - iter 2436/6098 - loss 0.13229726
-2018-12-18 20:14:32,399 epoch 147 - iter 3045/6098 - loss 0.13250797
-2018-12-18 20:16:40,753 epoch 147 - iter 3654/6098 - loss 0.13198817
-2018-12-18 20:18:47,752 epoch 147 - iter 4263/6098 - loss 0.13186630
-2018-12-18 20:20:52,825 epoch 147 - iter 4872/6098 - loss 0.13172671
-2018-12-18 20:22:58,005 epoch 147 - iter 5481/6098 - loss 0.13226264
-2018-12-18 20:25:05,808 epoch 147 - iter 6090/6098 - loss 0.13223085
-2018-12-18 20:25:07,121 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:25:07,122 EPOCH 147 done: loss 0.1322 - lr 0.0125 - bad epochs 0
-2018-12-18 20:27:21,835 TEST : loss 0.14709187 - f-score 0.9644 - acc 0.9644
-2018-12-18 20:27:21,836 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:27:22,262 epoch 148 - iter 0/6098 - loss 0.16735215
-2018-12-18 20:29:30,253 epoch 148 - iter 609/6098 - loss 0.12950987
-2018-12-18 20:31:39,324 epoch 148 - iter 1218/6098 - loss 0.13192593
-2018-12-18 20:33:45,457 epoch 148 - iter 1827/6098 - loss 0.13054295
-2018-12-18 20:35:52,067 epoch 148 - iter 2436/6098 - loss 0.13158201
-2018-12-18 20:38:00,247 epoch 148 - iter 3045/6098 - loss 0.13193952
-2018-12-18 20:40:07,713 epoch 148 - iter 3654/6098 - loss 0.13361167
-2018-12-18 20:42:15,462 epoch 148 - iter 4263/6098 - loss 0.13349244
-2018-12-18 20:44:23,995 epoch 148 - iter 4872/6098 - loss 0.13357998
-2018-12-18 20:46:33,230 epoch 148 - iter 5481/6098 - loss 0.13363396
-2018-12-18 20:48:39,886 epoch 148 - iter 6090/6098 - loss 0.13367508
-2018-12-18 20:48:41,219 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:48:41,220 EPOCH 148 done: loss 0.1337 - lr 0.0125 - bad epochs 0
-2018-12-18 20:50:55,710 TEST : loss 0.14629848 - f-score 0.9644 - acc 0.9644
-2018-12-18 20:50:55,711 ----------------------------------------------------------------------------------------------------
-2018-12-18 20:50:56,130 epoch 149 - iter 0/6098 - loss 0.09793188
-2018-12-18 20:53:02,347 epoch 149 - iter 609/6098 - loss 0.12940942
-2018-12-18 20:55:10,253 epoch 149 - iter 1218/6098 - loss 0.13234628
-2018-12-18 20:57:17,182 epoch 149 - iter 1827/6098 - loss 0.13344256
-2018-12-18 20:59:25,446 epoch 149 - iter 2436/6098 - loss 0.13274650
-2018-12-18 21:01:34,126 epoch 149 - iter 3045/6098 - loss 0.13328448
-2018-12-18 21:03:43,251 epoch 149 - iter 3654/6098 - loss 0.13310007
-2018-12-18 21:05:51,967 epoch 149 - iter 4263/6098 - loss 0.13345033
-2018-12-18 21:08:02,341 epoch 149 - iter 4872/6098 - loss 0.13371052
-2018-12-18 21:10:09,430 epoch 149 - iter 5481/6098 - loss 0.13377661
-2018-12-18 21:12:14,645 epoch 149 - iter 6090/6098 - loss 0.13367174
-2018-12-18 21:12:15,972 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:12:15,972 EPOCH 149 done: loss 0.1337 - lr 0.0125 - bad epochs 1
-2018-12-18 21:14:30,261 TEST : loss 0.14598544 - f-score 0.9644 - acc 0.9644
-2018-12-18 21:14:30,263 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:14:30,625 epoch 150 - iter 0/6098 - loss 0.13782977
-2018-12-18 21:16:36,993 epoch 150 - iter 609/6098 - loss 0.13303353
-2018-12-18 21:18:40,899 epoch 150 - iter 1218/6098 - loss 0.13482136
-2018-12-18 21:20:48,552 epoch 150 - iter 1827/6098 - loss 0.13442977
-2018-12-18 21:22:57,008 epoch 150 - iter 2436/6098 - loss 0.13441233
-2018-12-18 21:25:07,731 epoch 150 - iter 3045/6098 - loss 0.13348230
-2018-12-18 21:27:16,626 epoch 150 - iter 3654/6098 - loss 0.13298852
-2018-12-18 21:29:24,096 epoch 150 - iter 4263/6098 - loss 0.13303002
-2018-12-18 21:31:32,101 epoch 150 - iter 4872/6098 - loss 0.13304702
-2018-12-18 21:33:40,089 epoch 150 - iter 5481/6098 - loss 0.13284229
-2018-12-18 21:35:47,857 epoch 150 - iter 6090/6098 - loss 0.13309964
-2018-12-18 21:35:49,141 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:35:49,141 EPOCH 150 done: loss 0.1331 - lr 0.0125 - bad epochs 2
-2018-12-18 21:38:15,689 TEST : loss 0.14694801 - f-score 0.9641 - acc 0.9641
-2018-12-18 21:38:16,874 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:38:16,874 Testing using best model ...
-2018-12-18 21:40:31,307 MICRO_AVG: acc 0.9641 - f1-score 0.9641
-2018-12-18 21:40:31,307 MARCO_AVG: acc 0.9184 - f1-score 0.9389
-2018-12-18 21:40:31,308 ADJ        tp: 31966 - fp: 2169 - fn: 2064 - tn: 31966 - precision: 0.9365 - recall: 0.9393 - accuracy: 0.9379 - f1-score: 0.9379
-2018-12-18 21:40:31,308 ADP        tp: 34712 - fp: 492 - fn: 426 - tn: 34712 - precision: 0.9860 - recall: 0.9879 - accuracy: 0.9869 - f1-score: 0.9869
-2018-12-18 21:40:31,308 ADV        tp: 18083 - fp: 1034 - fn: 1459 - tn: 18083 - precision: 0.9459 - recall: 0.9253 - accuracy: 0.9355 - f1-score: 0.9355
-2018-12-18 21:40:31,308 AUX        tp: 13385 - fp: 690 - fn: 369 - tn: 13385 - precision: 0.9510 - recall: 0.9732 - accuracy: 0.9619 - f1-score: 0.9620
-2018-12-18 21:40:31,308 CCONJ      tp: 12128 - fp: 207 - fn: 185 - tn: 12128 - precision: 0.9832 - recall: 0.9850 - accuracy: 0.9841 - f1-score: 0.9841
-2018-12-18 21:40:31,308 DET        tp: 19637 - fp: 418 - fn: 222 - tn: 19637 - precision: 0.9792 - recall: 0.9888 - accuracy: 0.9840 - f1-score: 0.9840
-2018-12-18 21:40:31,308 INTJ       tp: 144 - fp: 32 - fn: 66 - tn: 144 - precision: 0.8182 - recall: 0.6857 - accuracy: 0.7461 - f1-score: 0.7461
-2018-12-18 21:40:31,308 NOUN       tp: 75445 - fp: 3002 - fn: 3570 - tn: 75445 - precision: 0.9617 - recall: 0.9548 - accuracy: 0.9583 - f1-score: 0.9582
-2018-12-18 21:40:31,308 NUM        tp: 7581 - fp: 122 - fn: 173 - tn: 7581 - precision: 0.9842 - recall: 0.9777 - accuracy: 0.9809 - f1-score: 0.9809
-2018-12-18 21:40:31,309 PART       tp: 3536 - fp: 81 - fn: 104 - tn: 3536 - precision: 0.9776 - recall: 0.9714 - accuracy: 0.9745 - f1-score: 0.9745
-2018-12-18 21:40:31,309 PRON       tp: 16944 - fp: 469 - fn: 539 - tn: 16944 - precision: 0.9731 - recall: 0.9692 - accuracy: 0.9711 - f1-score: 0.9711
-2018-12-18 21:40:31,309 PROPN      tp: 17834 - fp: 1929 - fn: 1103 - tn: 17834 - precision: 0.9024 - recall: 0.9418 - accuracy: 0.9217 - f1-score: 0.9217
-2018-12-18 21:40:31,309 PUNCT      tp: 48410 - fp: 66 - fn: 45 - tn: 48410 - precision: 0.9986 - recall: 0.9991 - accuracy: 0.9989 - f1-score: 0.9988
-2018-12-18 21:40:31,309 SCONJ      tp: 6645 - fp: 273 - fn: 295 - tn: 6645 - precision: 0.9605 - recall: 0.9575 - accuracy: 0.9590 - f1-score: 0.9590
-2018-12-18 21:40:31,309 SYM        tp: 367 - fp: 66 - fn: 94 - tn: 367 - precision: 0.8476 - recall: 0.7961 - accuracy: 0.8210 - f1-score: 0.8210
-2018-12-18 21:40:31,309 VERB       tp: 33841 - fp: 1586 - fn: 1705 - tn: 33841 - precision: 0.9552 - recall: 0.9520 - accuracy: 0.9536 - f1-score: 0.9536
-2018-12-18 21:40:31,309 X          tp: 177 - fp: 44 - fn: 261 - tn: 177 - precision: 0.8009 - recall: 0.4041 - accuracy: 0.5372 - f1-score: 0.5372
-2018-12-18 21:40:31,309 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:31,309 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:41,668 ud_english: loss 0.19984867 - f-score 0.9561 - acc 0.9561
-2018-12-18 21:40:41,668 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:47,991 ud_german: loss 0.24167277 - f-score 0.9424 - acc 0.9424
-2018-12-18 21:40:47,991 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:51,633 ud_french: loss 0.08293830 - f-score 0.9761 - acc 0.9761
-2018-12-18 21:40:51,633 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:55,402 ud_italian: loss 0.05560223 - f-score 0.9818 - acc 0.9818
-2018-12-18 21:40:55,403 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:40:59,474 ud_dutch: loss 0.14550872 - f-score 0.9637 - acc 0.9637
-2018-12-18 21:40:59,474 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:04,268 ud_polish: loss 0.08021381 - f-score 0.9801 - acc 0.9801
-2018-12-18 21:41:04,269 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:08,819 ud_spanish: loss 0.16741446 - f-score 0.9553 - acc 0.9553
-2018-12-18 21:41:08,819 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:16,439 ud_swedish: loss 0.21365283 - f-score 0.9471 - acc 0.9471
-2018-12-18 21:41:16,439 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:20,214 ud_danish: loss 0.25488156 - f-score 0.9408 - acc 0.9408
-2018-12-18 21:41:20,215 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:30,911 ud_norwegian: loss 0.15736783 - f-score 0.9639 - acc 0.9639
-2018-12-18 21:41:30,911 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:41:39,534 ud_finnish: loss 0.33013174 - f-score 0.9089 - acc 0.9089
-2018-12-18 21:41:39,535 ----------------------------------------------------------------------------------------------------
-2018-12-18 21:42:45,816 ud_czech: loss 0.10046305 - f-score 0.9751 - acc 0.9751
+2024-03-12 23:47:55,509 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,509 Model: "SequenceTagger(
+  (embeddings): StackedEmbeddings(
+    (list_embedding_0): FlairEmbeddings(
+      (lm): LanguageModel(
+        (drop): Dropout(p=0.1, inplace=False)
+        (encoder): Embedding(11854, 100)
+        (rnn): LSTM(100, 2048)
+      )
+    )
+    (list_embedding_1): FlairEmbeddings(
+      (lm): LanguageModel(
+        (drop): Dropout(p=0.1, inplace=False)
+        (encoder): Embedding(11854, 100)
+        (rnn): LSTM(100, 2048)
+      )
+    )
+  )
+  (word_dropout): WordDropout(p=0.05)
+  (locked_dropout): LockedDropout(p=0.5)
+  (embedding2nn): Linear(in_features=4096, out_features=4096, bias=True)
+  (rnn): LSTM(4096, 256, batch_first=True, bidirectional=True)
+  (linear): Linear(in_features=512, out_features=17, bias=True)
+  (loss_function): CrossEntropyLoss()
+)"
+2024-03-12 23:47:55,509 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,511 MultiCorpus: 199269 train + 22814 dev + 22125 test sentences
+ - UD_ENGLISH Corpus: 12544 train + 2001 dev + 2077 test sentences - /home/stefan/.flair/datasets/ud_english
+ - UD_GERMAN Corpus: 13814 train + 799 dev + 977 test sentences - /home/stefan/.flair/datasets/ud_german
+ - UD_DUTCH Corpus: 12289 train + 718 dev + 596 test sentences - /home/stefan/.flair/datasets/ud_dutch
+ - UD_FRENCH Corpus: 14450 train + 1476 dev + 416 test sentences - /home/stefan/.flair/datasets/ud_french
+ - UD_ITALIAN Corpus: 13121 train + 564 dev + 482 test sentences - /home/stefan/.flair/datasets/ud_italian
+ - UD_SPANISH Corpus: 14187 train + 1400 dev + 426 test sentences - /home/stefan/.flair/datasets/ud_spanish
+ - UD_POLISH Corpus: 13774 train + 1745 dev + 1727 test sentences - /home/stefan/.flair/datasets/ud_polish
+ - UD_CZECH Corpus: 68491 train + 9270 dev + 10146 test sentences - /home/stefan/.flair/datasets/ud_czech
+ - UD_DANISH Corpus: 4383 train + 564 dev + 565 test sentences - /home/stefan/.flair/datasets/ud_danish
+ - UD_SWEDISH Corpus: 4303 train + 504 dev + 1219 test sentences - /home/stefan/.flair/datasets/ud_swedish
+ - UD_NORWEGIAN Corpus: 15696 train + 2409 dev + 1939 test sentences - /home/stefan/.flair/datasets/ud_norwegian
+ - UD_FINNISH Corpus: 12217 train + 1364 dev + 1555 test sentences - /home/stefan/.flair/datasets/ud_finnish
+2024-03-12 23:47:55,511 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,511 Train:  222083 sentences
+2024-03-12 23:47:55,511         (train_with_dev=True, train_with_test=False)
+2024-03-12 23:47:55,511 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,511 Training Params:
+2024-03-12 23:47:55,511  - learning_rate: "0.1" 
+2024-03-12 23:47:55,511  - mini_batch_size: "32"
+2024-03-12 23:47:55,511  - max_epochs: "150"
+2024-03-12 23:47:55,511  - shuffle: "True"
+2024-03-12 23:47:55,511 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,511 Plugins:
+2024-03-12 23:47:55,511  - AnnealOnPlateau | patience: '3', anneal_factor: '0.5', min_learning_rate: '0.0001'
+2024-03-12 23:47:55,511 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,511 Final evaluation on model from best epoch (best-model.pt)
+2024-03-12 23:47:55,511  - metric: "('micro avg', 'f1-score')"
+2024-03-12 23:47:55,512 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,512 Computation:
+2024-03-12 23:47:55,512  - compute on device: cuda:0
+2024-03-12 23:47:55,512  - embedding storage: cpu
+2024-03-12 23:47:55,512 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,512 Model training base path: "resources/taggers/upos-multi"
+2024-03-12 23:47:55,512 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:47:55,512 ----------------------------------------------------------------------------------------------------
+2024-03-12 23:50:17,991 epoch 1 - iter 694/6941 - loss 0.73503169 - time (sec): 142.48 - samples/sec: 2727.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-12 23:52:40,236 epoch 1 - iter 1388/6941 - loss 0.61209600 - time (sec): 284.72 - samples/sec: 2718.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-12 23:55:04,932 epoch 1 - iter 2082/6941 - loss 0.55424905 - time (sec): 429.42 - samples/sec: 2708.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-12 23:57:31,177 epoch 1 - iter 2776/6941 - loss 0.51695218 - time (sec): 575.66 - samples/sec: 2692.23 - lr: 0.100000 - momentum: 0.000000
+2024-03-12 23:59:54,403 epoch 1 - iter 3470/6941 - loss 0.49113050 - time (sec): 718.89 - samples/sec: 2691.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:02:19,768 epoch 1 - iter 4164/6941 - loss 0.47206226 - time (sec): 864.26 - samples/sec: 2689.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:04:46,750 epoch 1 - iter 4858/6941 - loss 0.45693272 - time (sec): 1011.24 - samples/sec: 2684.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:07:11,220 epoch 1 - iter 5552/6941 - loss 0.44393358 - time (sec): 1155.71 - samples/sec: 2685.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:09:33,935 epoch 1 - iter 6246/6941 - loss 0.43299274 - time (sec): 1298.42 - samples/sec: 2689.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:11:57,900 epoch 1 - iter 6940/6941 - loss 0.42374685 - time (sec): 1442.39 - samples/sec: 2690.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:11:58,032 ----------------------------------------------------------------------------------------------------
+2024-03-13 00:11:58,032 EPOCH 1 done: loss 0.4237 - lr: 0.100000
+2024-03-13 00:11:58,032  - 0 epochs without improvement
+2024-03-13 00:11:58,032 ----------------------------------------------------------------------------------------------------
+2024-03-13 00:14:24,943 epoch 2 - iter 694/6941 - loss 0.33038232 - time (sec): 146.91 - samples/sec: 2658.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:16:49,790 epoch 2 - iter 1388/6941 - loss 0.32998462 - time (sec): 291.76 - samples/sec: 2668.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:19:15,959 epoch 2 - iter 2082/6941 - loss 0.32841976 - time (sec): 437.93 - samples/sec: 2666.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:21:39,334 epoch 2 - iter 2776/6941 - loss 0.32519287 - time (sec): 581.30 - samples/sec: 2676.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:24:01,629 epoch 2 - iter 3470/6941 - loss 0.32254790 - time (sec): 723.60 - samples/sec: 2683.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:26:25,445 epoch 2 - iter 4164/6941 - loss 0.32053494 - time (sec): 867.41 - samples/sec: 2686.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:28:49,598 epoch 2 - iter 4858/6941 - loss 0.31887284 - time (sec): 1011.57 - samples/sec: 2685.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:31:15,291 epoch 2 - iter 5552/6941 - loss 0.31709368 - time (sec): 1157.26 - samples/sec: 2683.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:33:39,776 epoch 2 - iter 6246/6941 - loss 0.31521498 - time (sec): 1301.74 - samples/sec: 2683.23 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:36:04,441 epoch 2 - iter 6940/6941 - loss 0.31379477 - time (sec): 1446.41 - samples/sec: 2682.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:36:04,498 ----------------------------------------------------------------------------------------------------
+2024-03-13 00:36:04,498 EPOCH 2 done: loss 0.3138 - lr: 0.100000
+2024-03-13 00:36:04,498  - 0 epochs without improvement
+2024-03-13 00:36:04,498 ----------------------------------------------------------------------------------------------------
+2024-03-13 00:38:29,545 epoch 3 - iter 694/6941 - loss 0.29734505 - time (sec): 145.05 - samples/sec: 2669.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:40:52,707 epoch 3 - iter 1388/6941 - loss 0.29514544 - time (sec): 288.21 - samples/sec: 2692.60 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:43:17,350 epoch 3 - iter 2082/6941 - loss 0.29405902 - time (sec): 432.85 - samples/sec: 2695.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:45:42,601 epoch 3 - iter 2776/6941 - loss 0.29295132 - time (sec): 578.10 - samples/sec: 2693.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:48:07,177 epoch 3 - iter 3470/6941 - loss 0.29161491 - time (sec): 722.68 - samples/sec: 2690.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:50:31,843 epoch 3 - iter 4164/6941 - loss 0.28991864 - time (sec): 867.35 - samples/sec: 2691.60 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:52:57,535 epoch 3 - iter 4858/6941 - loss 0.28934665 - time (sec): 1013.04 - samples/sec: 2684.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:55:23,091 epoch 3 - iter 5552/6941 - loss 0.28890517 - time (sec): 1158.59 - samples/sec: 2681.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 00:57:46,367 epoch 3 - iter 6246/6941 - loss 0.28773093 - time (sec): 1301.87 - samples/sec: 2683.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:00:08,977 epoch 3 - iter 6940/6941 - loss 0.28691532 - time (sec): 1444.48 - samples/sec: 2686.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:00:09,015 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:00:09,015 EPOCH 3 done: loss 0.2869 - lr: 0.100000
+2024-03-13 01:00:09,015  - 0 epochs without improvement
+2024-03-13 01:00:09,015 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:02:34,546 epoch 4 - iter 694/6941 - loss 0.27725215 - time (sec): 145.53 - samples/sec: 2682.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:04:56,803 epoch 4 - iter 1388/6941 - loss 0.27755069 - time (sec): 287.79 - samples/sec: 2694.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:07:21,612 epoch 4 - iter 2082/6941 - loss 0.27646428 - time (sec): 432.60 - samples/sec: 2687.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:09:45,837 epoch 4 - iter 2776/6941 - loss 0.27560182 - time (sec): 576.82 - samples/sec: 2685.27 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:12:14,489 epoch 4 - iter 3470/6941 - loss 0.27390513 - time (sec): 725.47 - samples/sec: 2677.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:14:38,310 epoch 4 - iter 4164/6941 - loss 0.27299084 - time (sec): 869.29 - samples/sec: 2680.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:17:02,135 epoch 4 - iter 4858/6941 - loss 0.27279451 - time (sec): 1013.12 - samples/sec: 2682.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:19:24,817 epoch 4 - iter 5552/6941 - loss 0.27278976 - time (sec): 1155.80 - samples/sec: 2686.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:21:49,333 epoch 4 - iter 6246/6941 - loss 0.27242400 - time (sec): 1300.32 - samples/sec: 2685.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:24:14,943 epoch 4 - iter 6940/6941 - loss 0.27183237 - time (sec): 1445.93 - samples/sec: 2683.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:24:15,170 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:24:15,170 EPOCH 4 done: loss 0.2718 - lr: 0.100000
+2024-03-13 01:24:15,170  - 0 epochs without improvement
+2024-03-13 01:24:15,170 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:26:38,745 epoch 5 - iter 694/6941 - loss 0.26553249 - time (sec): 143.58 - samples/sec: 2706.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:29:03,946 epoch 5 - iter 1388/6941 - loss 0.26481982 - time (sec): 288.78 - samples/sec: 2691.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:31:26,488 epoch 5 - iter 2082/6941 - loss 0.26398170 - time (sec): 431.32 - samples/sec: 2700.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:33:50,559 epoch 5 - iter 2776/6941 - loss 0.26349240 - time (sec): 575.39 - samples/sec: 2703.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:36:15,832 epoch 5 - iter 3470/6941 - loss 0.26277922 - time (sec): 720.66 - samples/sec: 2698.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:38:40,297 epoch 5 - iter 4164/6941 - loss 0.26250591 - time (sec): 865.13 - samples/sec: 2693.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:41:07,259 epoch 5 - iter 4858/6941 - loss 0.26218919 - time (sec): 1012.09 - samples/sec: 2687.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:43:32,001 epoch 5 - iter 5552/6941 - loss 0.26163946 - time (sec): 1156.83 - samples/sec: 2686.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:45:55,109 epoch 5 - iter 6246/6941 - loss 0.26153066 - time (sec): 1299.94 - samples/sec: 2688.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:48:19,351 epoch 5 - iter 6940/6941 - loss 0.26137170 - time (sec): 1444.18 - samples/sec: 2686.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:48:19,460 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:48:19,460 EPOCH 5 done: loss 0.2614 - lr: 0.100000
+2024-03-13 01:48:19,460  - 0 epochs without improvement
+2024-03-13 01:48:19,460 ----------------------------------------------------------------------------------------------------
+2024-03-13 01:50:43,825 epoch 6 - iter 694/6941 - loss 0.25572139 - time (sec): 144.36 - samples/sec: 2691.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:53:09,113 epoch 6 - iter 1388/6941 - loss 0.25691405 - time (sec): 289.65 - samples/sec: 2680.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:55:35,338 epoch 6 - iter 2082/6941 - loss 0.25638685 - time (sec): 435.88 - samples/sec: 2677.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 01:57:58,567 epoch 6 - iter 2776/6941 - loss 0.25603357 - time (sec): 579.11 - samples/sec: 2682.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:00:23,423 epoch 6 - iter 3470/6941 - loss 0.25484079 - time (sec): 723.96 - samples/sec: 2683.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:02:46,814 epoch 6 - iter 4164/6941 - loss 0.25458550 - time (sec): 867.35 - samples/sec: 2687.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:05:11,756 epoch 6 - iter 4858/6941 - loss 0.25445218 - time (sec): 1012.30 - samples/sec: 2683.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:07:35,506 epoch 6 - iter 5552/6941 - loss 0.25428344 - time (sec): 1156.05 - samples/sec: 2685.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:09:57,469 epoch 6 - iter 6246/6941 - loss 0.25375242 - time (sec): 1298.01 - samples/sec: 2690.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:12:23,434 epoch 6 - iter 6940/6941 - loss 0.25382052 - time (sec): 1443.97 - samples/sec: 2687.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:12:23,537 ----------------------------------------------------------------------------------------------------
+2024-03-13 02:12:23,537 EPOCH 6 done: loss 0.2538 - lr: 0.100000
+2024-03-13 02:12:23,537  - 0 epochs without improvement
+2024-03-13 02:12:23,537 ----------------------------------------------------------------------------------------------------
+2024-03-13 02:14:47,712 epoch 7 - iter 694/6941 - loss 0.24796613 - time (sec): 144.17 - samples/sec: 2697.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:17:11,180 epoch 7 - iter 1388/6941 - loss 0.24724938 - time (sec): 287.64 - samples/sec: 2701.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:19:36,976 epoch 7 - iter 2082/6941 - loss 0.24788978 - time (sec): 433.44 - samples/sec: 2695.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:22:04,075 epoch 7 - iter 2776/6941 - loss 0.24779076 - time (sec): 580.54 - samples/sec: 2682.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:24:28,366 epoch 7 - iter 3470/6941 - loss 0.24762142 - time (sec): 724.83 - samples/sec: 2684.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:26:52,886 epoch 7 - iter 4164/6941 - loss 0.24751144 - time (sec): 869.35 - samples/sec: 2681.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:29:16,900 epoch 7 - iter 4858/6941 - loss 0.24759622 - time (sec): 1013.36 - samples/sec: 2682.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:31:39,868 epoch 7 - iter 5552/6941 - loss 0.24778766 - time (sec): 1156.33 - samples/sec: 2685.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:34:04,817 epoch 7 - iter 6246/6941 - loss 0.24739076 - time (sec): 1301.28 - samples/sec: 2684.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:36:31,620 epoch 7 - iter 6940/6941 - loss 0.24770514 - time (sec): 1448.08 - samples/sec: 2679.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:36:31,692 ----------------------------------------------------------------------------------------------------
+2024-03-13 02:36:31,692 EPOCH 7 done: loss 0.2477 - lr: 0.100000
+2024-03-13 02:36:31,693  - 0 epochs without improvement
+2024-03-13 02:36:31,693 ----------------------------------------------------------------------------------------------------
+2024-03-13 02:38:57,724 epoch 8 - iter 694/6941 - loss 0.24119555 - time (sec): 146.03 - samples/sec: 2683.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:41:23,455 epoch 8 - iter 1388/6941 - loss 0.24267725 - time (sec): 291.76 - samples/sec: 2669.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:43:47,358 epoch 8 - iter 2082/6941 - loss 0.24338227 - time (sec): 435.66 - samples/sec: 2678.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:46:12,775 epoch 8 - iter 2776/6941 - loss 0.24352098 - time (sec): 581.08 - samples/sec: 2676.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:48:38,037 epoch 8 - iter 3470/6941 - loss 0.24344887 - time (sec): 726.34 - samples/sec: 2676.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:51:02,081 epoch 8 - iter 4164/6941 - loss 0.24351582 - time (sec): 870.39 - samples/sec: 2679.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:53:25,733 epoch 8 - iter 4858/6941 - loss 0.24335986 - time (sec): 1014.04 - samples/sec: 2680.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:55:49,361 epoch 8 - iter 5552/6941 - loss 0.24313111 - time (sec): 1157.67 - samples/sec: 2680.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 02:58:14,187 epoch 8 - iter 6246/6941 - loss 0.24324203 - time (sec): 1302.49 - samples/sec: 2681.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:00:37,121 epoch 8 - iter 6940/6941 - loss 0.24329441 - time (sec): 1445.43 - samples/sec: 2684.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:00:37,312 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:00:37,312 EPOCH 8 done: loss 0.2433 - lr: 0.100000
+2024-03-13 03:00:37,312  - 0 epochs without improvement
+2024-03-13 03:00:37,312 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:03:02,938 epoch 9 - iter 694/6941 - loss 0.23807985 - time (sec): 145.63 - samples/sec: 2680.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:05:30,867 epoch 9 - iter 1388/6941 - loss 0.23919593 - time (sec): 293.56 - samples/sec: 2659.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:07:52,894 epoch 9 - iter 2082/6941 - loss 0.23923120 - time (sec): 435.58 - samples/sec: 2676.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:10:18,627 epoch 9 - iter 2776/6941 - loss 0.23941288 - time (sec): 581.32 - samples/sec: 2676.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:12:45,257 epoch 9 - iter 3470/6941 - loss 0.23917980 - time (sec): 727.94 - samples/sec: 2673.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:15:05,427 epoch 9 - iter 4164/6941 - loss 0.23893332 - time (sec): 868.11 - samples/sec: 2688.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:17:29,878 epoch 9 - iter 4858/6941 - loss 0.23926709 - time (sec): 1012.57 - samples/sec: 2684.35 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:19:55,869 epoch 9 - iter 5552/6941 - loss 0.23928856 - time (sec): 1158.56 - samples/sec: 2681.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:22:19,262 epoch 9 - iter 6246/6941 - loss 0.23919765 - time (sec): 1301.95 - samples/sec: 2683.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:24:44,500 epoch 9 - iter 6940/6941 - loss 0.23890386 - time (sec): 1447.19 - samples/sec: 2681.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:24:44,606 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:24:44,606 EPOCH 9 done: loss 0.2389 - lr: 0.100000
+2024-03-13 03:24:44,606  - 0 epochs without improvement
+2024-03-13 03:24:44,606 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:27:10,290 epoch 10 - iter 694/6941 - loss 0.23681317 - time (sec): 145.68 - samples/sec: 2675.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:29:37,120 epoch 10 - iter 1388/6941 - loss 0.23701327 - time (sec): 292.51 - samples/sec: 2656.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:32:01,659 epoch 10 - iter 2082/6941 - loss 0.23574456 - time (sec): 437.05 - samples/sec: 2660.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:34:25,759 epoch 10 - iter 2776/6941 - loss 0.23566899 - time (sec): 581.15 - samples/sec: 2671.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:36:49,641 epoch 10 - iter 3470/6941 - loss 0.23560278 - time (sec): 725.03 - samples/sec: 2678.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:39:14,809 epoch 10 - iter 4164/6941 - loss 0.23555780 - time (sec): 870.20 - samples/sec: 2677.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:41:37,222 epoch 10 - iter 4858/6941 - loss 0.23587785 - time (sec): 1012.62 - samples/sec: 2681.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:43:59,937 epoch 10 - iter 5552/6941 - loss 0.23563882 - time (sec): 1155.33 - samples/sec: 2686.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:46:24,722 epoch 10 - iter 6246/6941 - loss 0.23549359 - time (sec): 1300.12 - samples/sec: 2685.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:48:50,082 epoch 10 - iter 6940/6941 - loss 0.23546214 - time (sec): 1445.48 - samples/sec: 2684.43 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:48:50,139 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:48:50,139 EPOCH 10 done: loss 0.2355 - lr: 0.100000
+2024-03-13 03:48:50,139  - 0 epochs without improvement
+2024-03-13 03:48:50,139 ----------------------------------------------------------------------------------------------------
+2024-03-13 03:51:17,795 epoch 11 - iter 694/6941 - loss 0.23133068 - time (sec): 147.66 - samples/sec: 2656.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:53:41,308 epoch 11 - iter 1388/6941 - loss 0.23244924 - time (sec): 291.17 - samples/sec: 2688.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:56:04,471 epoch 11 - iter 2082/6941 - loss 0.23227594 - time (sec): 434.33 - samples/sec: 2690.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 03:58:30,535 epoch 11 - iter 2776/6941 - loss 0.23247393 - time (sec): 580.40 - samples/sec: 2681.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:00:56,506 epoch 11 - iter 3470/6941 - loss 0.23246076 - time (sec): 726.37 - samples/sec: 2680.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:03:22,073 epoch 11 - iter 4164/6941 - loss 0.23256076 - time (sec): 871.93 - samples/sec: 2674.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:05:45,398 epoch 11 - iter 4858/6941 - loss 0.23266444 - time (sec): 1015.26 - samples/sec: 2676.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:08:11,320 epoch 11 - iter 5552/6941 - loss 0.23250046 - time (sec): 1161.18 - samples/sec: 2677.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:10:33,912 epoch 11 - iter 6246/6941 - loss 0.23227061 - time (sec): 1303.77 - samples/sec: 2680.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:12:56,927 epoch 11 - iter 6940/6941 - loss 0.23220866 - time (sec): 1446.79 - samples/sec: 2681.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:12:56,986 ----------------------------------------------------------------------------------------------------
+2024-03-13 04:12:56,986 EPOCH 11 done: loss 0.2322 - lr: 0.100000
+2024-03-13 04:12:56,986  - 0 epochs without improvement
+2024-03-13 04:12:56,986 ----------------------------------------------------------------------------------------------------
+2024-03-13 04:15:22,579 epoch 12 - iter 694/6941 - loss 0.22924745 - time (sec): 145.59 - samples/sec: 2680.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:17:45,406 epoch 12 - iter 1388/6941 - loss 0.22856203 - time (sec): 288.42 - samples/sec: 2697.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:20:11,012 epoch 12 - iter 2082/6941 - loss 0.22850929 - time (sec): 434.03 - samples/sec: 2684.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:22:36,293 epoch 12 - iter 2776/6941 - loss 0.22830390 - time (sec): 579.31 - samples/sec: 2678.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:25:01,387 epoch 12 - iter 3470/6941 - loss 0.22907574 - time (sec): 724.40 - samples/sec: 2673.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:27:25,409 epoch 12 - iter 4164/6941 - loss 0.22945351 - time (sec): 868.42 - samples/sec: 2678.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:29:50,643 epoch 12 - iter 4858/6941 - loss 0.22940045 - time (sec): 1013.66 - samples/sec: 2677.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:32:14,023 epoch 12 - iter 5552/6941 - loss 0.22930982 - time (sec): 1157.04 - samples/sec: 2680.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:34:37,967 epoch 12 - iter 6246/6941 - loss 0.22943951 - time (sec): 1300.98 - samples/sec: 2683.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:37:02,430 epoch 12 - iter 6940/6941 - loss 0.22948379 - time (sec): 1445.44 - samples/sec: 2684.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:37:02,517 ----------------------------------------------------------------------------------------------------
+2024-03-13 04:37:02,517 EPOCH 12 done: loss 0.2295 - lr: 0.100000
+2024-03-13 04:37:02,517  - 0 epochs without improvement
+2024-03-13 04:37:02,517 ----------------------------------------------------------------------------------------------------
+2024-03-13 04:39:28,823 epoch 13 - iter 694/6941 - loss 0.22883920 - time (sec): 146.31 - samples/sec: 2668.47 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:41:51,594 epoch 13 - iter 1388/6941 - loss 0.22787374 - time (sec): 289.08 - samples/sec: 2693.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:44:13,532 epoch 13 - iter 2082/6941 - loss 0.22840886 - time (sec): 431.01 - samples/sec: 2701.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:46:39,271 epoch 13 - iter 2776/6941 - loss 0.22766334 - time (sec): 576.75 - samples/sec: 2696.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:49:03,259 epoch 13 - iter 3470/6941 - loss 0.22760525 - time (sec): 720.74 - samples/sec: 2699.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:51:29,218 epoch 13 - iter 4164/6941 - loss 0.22783626 - time (sec): 866.70 - samples/sec: 2691.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:53:54,559 epoch 13 - iter 4858/6941 - loss 0.22752670 - time (sec): 1012.04 - samples/sec: 2689.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:56:20,608 epoch 13 - iter 5552/6941 - loss 0.22742229 - time (sec): 1158.09 - samples/sec: 2684.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 04:58:45,255 epoch 13 - iter 6246/6941 - loss 0.22749173 - time (sec): 1302.74 - samples/sec: 2681.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:01:09,142 epoch 13 - iter 6940/6941 - loss 0.22764903 - time (sec): 1446.62 - samples/sec: 2682.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:01:09,195 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:01:09,195 EPOCH 13 done: loss 0.2276 - lr: 0.100000
+2024-03-13 05:01:09,195  - 0 epochs without improvement
+2024-03-13 05:01:09,195 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:03:31,310 epoch 14 - iter 694/6941 - loss 0.22786852 - time (sec): 142.11 - samples/sec: 2718.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:05:56,226 epoch 14 - iter 1388/6941 - loss 0.22816799 - time (sec): 287.03 - samples/sec: 2699.60 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:08:20,306 epoch 14 - iter 2082/6941 - loss 0.22784909 - time (sec): 431.11 - samples/sec: 2696.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:10:44,733 epoch 14 - iter 2776/6941 - loss 0.22703533 - time (sec): 575.54 - samples/sec: 2691.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:13:10,580 epoch 14 - iter 3470/6941 - loss 0.22623990 - time (sec): 721.38 - samples/sec: 2688.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:15:33,741 epoch 14 - iter 4164/6941 - loss 0.22598611 - time (sec): 864.55 - samples/sec: 2693.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:17:57,501 epoch 14 - iter 4858/6941 - loss 0.22587773 - time (sec): 1008.31 - samples/sec: 2694.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:20:22,405 epoch 14 - iter 5552/6941 - loss 0.22588386 - time (sec): 1153.21 - samples/sec: 2691.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:22:47,333 epoch 14 - iter 6246/6941 - loss 0.22579504 - time (sec): 1298.14 - samples/sec: 2690.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:25:13,065 epoch 14 - iter 6940/6941 - loss 0.22556878 - time (sec): 1443.87 - samples/sec: 2687.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:25:13,229 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:25:13,229 EPOCH 14 done: loss 0.2256 - lr: 0.100000
+2024-03-13 05:25:13,229  - 0 epochs without improvement
+2024-03-13 05:25:13,229 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:27:38,464 epoch 15 - iter 694/6941 - loss 0.22294242 - time (sec): 145.23 - samples/sec: 2662.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:30:00,183 epoch 15 - iter 1388/6941 - loss 0.22433502 - time (sec): 286.95 - samples/sec: 2688.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:32:25,996 epoch 15 - iter 2082/6941 - loss 0.22385041 - time (sec): 432.77 - samples/sec: 2679.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:34:49,941 epoch 15 - iter 2776/6941 - loss 0.22379523 - time (sec): 576.71 - samples/sec: 2686.27 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:37:14,646 epoch 15 - iter 3470/6941 - loss 0.22352000 - time (sec): 721.42 - samples/sec: 2688.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:39:40,622 epoch 15 - iter 4164/6941 - loss 0.22335765 - time (sec): 867.39 - samples/sec: 2681.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:42:04,458 epoch 15 - iter 4858/6941 - loss 0.22312603 - time (sec): 1011.23 - samples/sec: 2686.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:44:27,677 epoch 15 - iter 5552/6941 - loss 0.22335164 - time (sec): 1154.45 - samples/sec: 2688.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:46:53,016 epoch 15 - iter 6246/6941 - loss 0.22363489 - time (sec): 1299.79 - samples/sec: 2686.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:49:17,431 epoch 15 - iter 6940/6941 - loss 0.22359079 - time (sec): 1444.20 - samples/sec: 2686.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:49:17,580 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:49:17,580 EPOCH 15 done: loss 0.2236 - lr: 0.100000
+2024-03-13 05:49:17,580  - 0 epochs without improvement
+2024-03-13 05:49:17,580 ----------------------------------------------------------------------------------------------------
+2024-03-13 05:51:42,452 epoch 16 - iter 694/6941 - loss 0.22255533 - time (sec): 144.87 - samples/sec: 2678.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:54:07,704 epoch 16 - iter 1388/6941 - loss 0.22147386 - time (sec): 290.12 - samples/sec: 2677.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:56:33,043 epoch 16 - iter 2082/6941 - loss 0.22188060 - time (sec): 435.46 - samples/sec: 2677.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 05:58:56,748 epoch 16 - iter 2776/6941 - loss 0.22164503 - time (sec): 579.17 - samples/sec: 2684.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:01:21,207 epoch 16 - iter 3470/6941 - loss 0.22170440 - time (sec): 723.63 - samples/sec: 2680.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:03:45,931 epoch 16 - iter 4164/6941 - loss 0.22175794 - time (sec): 868.35 - samples/sec: 2681.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:06:09,103 epoch 16 - iter 4858/6941 - loss 0.22183879 - time (sec): 1011.52 - samples/sec: 2684.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:08:35,835 epoch 16 - iter 5552/6941 - loss 0.22180362 - time (sec): 1158.25 - samples/sec: 2681.43 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:11:00,588 epoch 16 - iter 6246/6941 - loss 0.22171134 - time (sec): 1303.01 - samples/sec: 2680.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:13:25,069 epoch 16 - iter 6940/6941 - loss 0.22150776 - time (sec): 1447.49 - samples/sec: 2680.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:13:25,164 ----------------------------------------------------------------------------------------------------
+2024-03-13 06:13:25,164 EPOCH 16 done: loss 0.2215 - lr: 0.100000
+2024-03-13 06:13:25,164  - 0 epochs without improvement
+2024-03-13 06:13:25,164 ----------------------------------------------------------------------------------------------------
+2024-03-13 06:15:49,908 epoch 17 - iter 694/6941 - loss 0.21916313 - time (sec): 144.74 - samples/sec: 2688.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:18:11,616 epoch 17 - iter 1388/6941 - loss 0.21994536 - time (sec): 286.45 - samples/sec: 2707.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:20:37,891 epoch 17 - iter 2082/6941 - loss 0.21988936 - time (sec): 432.73 - samples/sec: 2687.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:23:01,290 epoch 17 - iter 2776/6941 - loss 0.21930860 - time (sec): 576.13 - samples/sec: 2688.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:25:29,858 epoch 17 - iter 3470/6941 - loss 0.22007378 - time (sec): 724.69 - samples/sec: 2680.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:27:53,899 epoch 17 - iter 4164/6941 - loss 0.21980562 - time (sec): 868.73 - samples/sec: 2682.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:30:18,873 epoch 17 - iter 4858/6941 - loss 0.22015740 - time (sec): 1013.71 - samples/sec: 2682.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:32:42,112 epoch 17 - iter 5552/6941 - loss 0.22056445 - time (sec): 1156.95 - samples/sec: 2683.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:35:06,302 epoch 17 - iter 6246/6941 - loss 0.22032884 - time (sec): 1301.14 - samples/sec: 2684.46 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:37:30,435 epoch 17 - iter 6940/6941 - loss 0.22027404 - time (sec): 1445.27 - samples/sec: 2684.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:37:30,525 ----------------------------------------------------------------------------------------------------
+2024-03-13 06:37:30,525 EPOCH 17 done: loss 0.2203 - lr: 0.100000
+2024-03-13 06:37:30,525  - 0 epochs without improvement
+2024-03-13 06:37:30,525 ----------------------------------------------------------------------------------------------------
+2024-03-13 06:39:56,010 epoch 18 - iter 694/6941 - loss 0.21637072 - time (sec): 145.49 - samples/sec: 2686.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:42:21,481 epoch 18 - iter 1388/6941 - loss 0.21757134 - time (sec): 290.96 - samples/sec: 2677.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:44:46,681 epoch 18 - iter 2082/6941 - loss 0.21765282 - time (sec): 436.16 - samples/sec: 2675.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:47:09,877 epoch 18 - iter 2776/6941 - loss 0.21769275 - time (sec): 579.35 - samples/sec: 2679.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:49:33,365 epoch 18 - iter 3470/6941 - loss 0.21828862 - time (sec): 722.84 - samples/sec: 2684.46 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:51:57,642 epoch 18 - iter 4164/6941 - loss 0.21860572 - time (sec): 867.12 - samples/sec: 2683.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:54:23,531 epoch 18 - iter 4858/6941 - loss 0.21874449 - time (sec): 1013.01 - samples/sec: 2680.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:56:47,665 epoch 18 - iter 5552/6941 - loss 0.21894604 - time (sec): 1157.14 - samples/sec: 2682.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 06:59:14,332 epoch 18 - iter 6246/6941 - loss 0.21887033 - time (sec): 1303.81 - samples/sec: 2677.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:01:38,201 epoch 18 - iter 6940/6941 - loss 0.21900330 - time (sec): 1447.68 - samples/sec: 2680.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:01:38,405 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:01:38,405 EPOCH 18 done: loss 0.2190 - lr: 0.100000
+2024-03-13 07:01:38,406  - 0 epochs without improvement
+2024-03-13 07:01:38,406 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:04:00,439 epoch 19 - iter 694/6941 - loss 0.21715577 - time (sec): 142.03 - samples/sec: 2721.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:06:28,842 epoch 19 - iter 1388/6941 - loss 0.21687784 - time (sec): 290.44 - samples/sec: 2668.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:08:54,964 epoch 19 - iter 2082/6941 - loss 0.21672266 - time (sec): 436.56 - samples/sec: 2662.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:11:17,426 epoch 19 - iter 2776/6941 - loss 0.21691915 - time (sec): 579.02 - samples/sec: 2675.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:13:39,242 epoch 19 - iter 3470/6941 - loss 0.21762129 - time (sec): 720.84 - samples/sec: 2685.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:16:03,953 epoch 19 - iter 4164/6941 - loss 0.21782215 - time (sec): 865.55 - samples/sec: 2685.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:18:30,646 epoch 19 - iter 4858/6941 - loss 0.21769475 - time (sec): 1012.24 - samples/sec: 2683.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:20:54,048 epoch 19 - iter 5552/6941 - loss 0.21749010 - time (sec): 1155.64 - samples/sec: 2687.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:23:19,204 epoch 19 - iter 6246/6941 - loss 0.21767234 - time (sec): 1300.80 - samples/sec: 2685.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:25:42,959 epoch 19 - iter 6940/6941 - loss 0.21761571 - time (sec): 1444.55 - samples/sec: 2686.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:25:43,036 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:25:43,036 EPOCH 19 done: loss 0.2176 - lr: 0.100000
+2024-03-13 07:25:43,036  - 0 epochs without improvement
+2024-03-13 07:25:43,036 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:28:10,727 epoch 20 - iter 694/6941 - loss 0.21604219 - time (sec): 147.69 - samples/sec: 2631.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:30:36,367 epoch 20 - iter 1388/6941 - loss 0.21758854 - time (sec): 293.33 - samples/sec: 2640.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:32:59,617 epoch 20 - iter 2082/6941 - loss 0.21714181 - time (sec): 436.58 - samples/sec: 2660.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:35:22,177 epoch 20 - iter 2776/6941 - loss 0.21720298 - time (sec): 579.14 - samples/sec: 2674.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:37:46,782 epoch 20 - iter 3470/6941 - loss 0.21646706 - time (sec): 723.75 - samples/sec: 2680.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:40:11,852 epoch 20 - iter 4164/6941 - loss 0.21660940 - time (sec): 868.82 - samples/sec: 2680.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:42:37,025 epoch 20 - iter 4858/6941 - loss 0.21647715 - time (sec): 1013.99 - samples/sec: 2679.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:45:00,599 epoch 20 - iter 5552/6941 - loss 0.21667127 - time (sec): 1157.56 - samples/sec: 2680.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:47:26,815 epoch 20 - iter 6246/6941 - loss 0.21654965 - time (sec): 1303.78 - samples/sec: 2679.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:49:49,268 epoch 20 - iter 6940/6941 - loss 0.21646505 - time (sec): 1446.23 - samples/sec: 2683.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:49:49,393 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:49:49,393 EPOCH 20 done: loss 0.2165 - lr: 0.100000
+2024-03-13 07:49:49,393  - 0 epochs without improvement
+2024-03-13 07:49:49,393 ----------------------------------------------------------------------------------------------------
+2024-03-13 07:52:14,396 epoch 21 - iter 694/6941 - loss 0.21661537 - time (sec): 145.00 - samples/sec: 2680.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:54:41,473 epoch 21 - iter 1388/6941 - loss 0.21609237 - time (sec): 292.08 - samples/sec: 2665.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:57:06,881 epoch 21 - iter 2082/6941 - loss 0.21527292 - time (sec): 437.49 - samples/sec: 2666.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 07:59:31,768 epoch 21 - iter 2776/6941 - loss 0.21573870 - time (sec): 582.38 - samples/sec: 2669.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:01:55,412 epoch 21 - iter 3470/6941 - loss 0.21511181 - time (sec): 726.02 - samples/sec: 2677.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:04:17,725 epoch 21 - iter 4164/6941 - loss 0.21514586 - time (sec): 868.33 - samples/sec: 2683.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:06:41,927 epoch 21 - iter 4858/6941 - loss 0.21541428 - time (sec): 1012.53 - samples/sec: 2685.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:09:06,877 epoch 21 - iter 5552/6941 - loss 0.21558294 - time (sec): 1157.48 - samples/sec: 2682.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:11:32,422 epoch 21 - iter 6246/6941 - loss 0.21515229 - time (sec): 1303.03 - samples/sec: 2680.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:13:57,434 epoch 21 - iter 6940/6941 - loss 0.21518294 - time (sec): 1448.04 - samples/sec: 2679.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:13:57,506 ----------------------------------------------------------------------------------------------------
+2024-03-13 08:13:57,506 EPOCH 21 done: loss 0.2152 - lr: 0.100000
+2024-03-13 08:13:57,507  - 0 epochs without improvement
+2024-03-13 08:13:57,507 ----------------------------------------------------------------------------------------------------
+2024-03-13 08:16:20,008 epoch 22 - iter 694/6941 - loss 0.21209462 - time (sec): 142.50 - samples/sec: 2720.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:18:44,546 epoch 22 - iter 1388/6941 - loss 0.21267648 - time (sec): 287.04 - samples/sec: 2705.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:21:11,085 epoch 22 - iter 2082/6941 - loss 0.21322039 - time (sec): 433.58 - samples/sec: 2687.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:23:34,749 epoch 22 - iter 2776/6941 - loss 0.21343574 - time (sec): 577.24 - samples/sec: 2684.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:25:57,255 epoch 22 - iter 3470/6941 - loss 0.21361472 - time (sec): 719.75 - samples/sec: 2691.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:28:25,311 epoch 22 - iter 4164/6941 - loss 0.21351867 - time (sec): 867.80 - samples/sec: 2682.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:30:47,668 epoch 22 - iter 4858/6941 - loss 0.21374039 - time (sec): 1010.16 - samples/sec: 2688.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:33:11,695 epoch 22 - iter 5552/6941 - loss 0.21379455 - time (sec): 1154.19 - samples/sec: 2688.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:35:36,571 epoch 22 - iter 6246/6941 - loss 0.21384033 - time (sec): 1299.06 - samples/sec: 2688.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:38:03,663 epoch 22 - iter 6940/6941 - loss 0.21419823 - time (sec): 1446.16 - samples/sec: 2683.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:38:03,748 ----------------------------------------------------------------------------------------------------
+2024-03-13 08:38:03,748 EPOCH 22 done: loss 0.2142 - lr: 0.100000
+2024-03-13 08:38:03,748  - 0 epochs without improvement
+2024-03-13 08:38:03,749 ----------------------------------------------------------------------------------------------------
+2024-03-13 08:40:28,209 epoch 23 - iter 694/6941 - loss 0.21184962 - time (sec): 144.46 - samples/sec: 2686.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:42:53,017 epoch 23 - iter 1388/6941 - loss 0.21140968 - time (sec): 289.27 - samples/sec: 2689.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:45:15,957 epoch 23 - iter 2082/6941 - loss 0.21199431 - time (sec): 432.21 - samples/sec: 2698.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:47:42,265 epoch 23 - iter 2776/6941 - loss 0.21248730 - time (sec): 578.52 - samples/sec: 2689.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:50:09,372 epoch 23 - iter 3470/6941 - loss 0.21234696 - time (sec): 725.62 - samples/sec: 2678.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:52:33,278 epoch 23 - iter 4164/6941 - loss 0.21226130 - time (sec): 869.53 - samples/sec: 2681.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:54:58,041 epoch 23 - iter 4858/6941 - loss 0.21261414 - time (sec): 1014.29 - samples/sec: 2679.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:57:22,534 epoch 23 - iter 5552/6941 - loss 0.21255516 - time (sec): 1158.79 - samples/sec: 2681.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 08:59:45,940 epoch 23 - iter 6246/6941 - loss 0.21247207 - time (sec): 1302.19 - samples/sec: 2681.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:02:11,153 epoch 23 - iter 6940/6941 - loss 0.21284307 - time (sec): 1447.40 - samples/sec: 2680.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:02:11,228 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:02:11,228 EPOCH 23 done: loss 0.2128 - lr: 0.100000
+2024-03-13 09:02:11,228  - 0 epochs without improvement
+2024-03-13 09:02:11,228 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:04:40,115 epoch 24 - iter 694/6941 - loss 0.21073920 - time (sec): 148.89 - samples/sec: 2637.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:07:04,202 epoch 24 - iter 1388/6941 - loss 0.20983943 - time (sec): 292.97 - samples/sec: 2660.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:09:27,476 epoch 24 - iter 2082/6941 - loss 0.21033404 - time (sec): 436.25 - samples/sec: 2674.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:11:47,043 epoch 24 - iter 2776/6941 - loss 0.21070718 - time (sec): 575.82 - samples/sec: 2692.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:14:10,377 epoch 24 - iter 3470/6941 - loss 0.21100182 - time (sec): 719.15 - samples/sec: 2695.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:16:34,356 epoch 24 - iter 4164/6941 - loss 0.21135763 - time (sec): 863.13 - samples/sec: 2692.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:18:58,719 epoch 24 - iter 4858/6941 - loss 0.21118889 - time (sec): 1007.49 - samples/sec: 2694.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:21:26,821 epoch 24 - iter 5552/6941 - loss 0.21114410 - time (sec): 1155.59 - samples/sec: 2685.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:23:51,500 epoch 24 - iter 6246/6941 - loss 0.21143243 - time (sec): 1300.27 - samples/sec: 2686.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:26:16,796 epoch 24 - iter 6940/6941 - loss 0.21143405 - time (sec): 1445.57 - samples/sec: 2684.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:26:16,920 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:26:16,920 EPOCH 24 done: loss 0.2114 - lr: 0.100000
+2024-03-13 09:26:16,920  - 0 epochs without improvement
+2024-03-13 09:26:16,920 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:28:40,199 epoch 25 - iter 694/6941 - loss 0.21020785 - time (sec): 143.28 - samples/sec: 2697.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:31:05,966 epoch 25 - iter 1388/6941 - loss 0.21093220 - time (sec): 289.05 - samples/sec: 2681.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:33:29,936 epoch 25 - iter 2082/6941 - loss 0.21110895 - time (sec): 433.02 - samples/sec: 2693.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:35:54,437 epoch 25 - iter 2776/6941 - loss 0.21102281 - time (sec): 577.52 - samples/sec: 2689.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:38:18,373 epoch 25 - iter 3470/6941 - loss 0.21101384 - time (sec): 721.45 - samples/sec: 2689.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:40:40,968 epoch 25 - iter 4164/6941 - loss 0.21148976 - time (sec): 864.05 - samples/sec: 2693.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:43:02,805 epoch 25 - iter 4858/6941 - loss 0.21157553 - time (sec): 1005.89 - samples/sec: 2696.40 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:45:31,152 epoch 25 - iter 5552/6941 - loss 0.21139932 - time (sec): 1154.23 - samples/sec: 2688.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:47:56,220 epoch 25 - iter 6246/6941 - loss 0.21166132 - time (sec): 1299.30 - samples/sec: 2686.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:50:22,952 epoch 25 - iter 6940/6941 - loss 0.21155835 - time (sec): 1446.03 - samples/sec: 2683.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:50:23,119 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:50:23,119 EPOCH 25 done: loss 0.2116 - lr: 0.100000
+2024-03-13 09:50:23,119  - 1 epochs without improvement
+2024-03-13 09:50:23,120 ----------------------------------------------------------------------------------------------------
+2024-03-13 09:52:47,862 epoch 26 - iter 694/6941 - loss 0.20670431 - time (sec): 144.74 - samples/sec: 2675.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:55:12,028 epoch 26 - iter 1388/6941 - loss 0.20842685 - time (sec): 288.91 - samples/sec: 2676.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 09:57:35,828 epoch 26 - iter 2082/6941 - loss 0.20912150 - time (sec): 432.71 - samples/sec: 2683.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:00:02,411 epoch 26 - iter 2776/6941 - loss 0.20908026 - time (sec): 579.29 - samples/sec: 2682.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:02:28,797 epoch 26 - iter 3470/6941 - loss 0.20958796 - time (sec): 725.68 - samples/sec: 2675.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:04:53,947 epoch 26 - iter 4164/6941 - loss 0.20968381 - time (sec): 870.83 - samples/sec: 2676.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:07:19,153 epoch 26 - iter 4858/6941 - loss 0.20986885 - time (sec): 1016.03 - samples/sec: 2679.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:09:41,490 epoch 26 - iter 5552/6941 - loss 0.20953188 - time (sec): 1158.37 - samples/sec: 2683.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:12:04,176 epoch 26 - iter 6246/6941 - loss 0.20983468 - time (sec): 1301.06 - samples/sec: 2684.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:14:28,117 epoch 26 - iter 6940/6941 - loss 0.20992754 - time (sec): 1445.00 - samples/sec: 2685.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:14:28,190 ----------------------------------------------------------------------------------------------------
+2024-03-13 10:14:28,190 EPOCH 26 done: loss 0.2099 - lr: 0.100000
+2024-03-13 10:14:28,190  - 0 epochs without improvement
+2024-03-13 10:14:28,190 ----------------------------------------------------------------------------------------------------
+2024-03-13 10:16:51,462 epoch 27 - iter 694/6941 - loss 0.20967962 - time (sec): 143.27 - samples/sec: 2709.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:19:17,987 epoch 27 - iter 1388/6941 - loss 0.21061392 - time (sec): 289.80 - samples/sec: 2676.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:21:40,900 epoch 27 - iter 2082/6941 - loss 0.20996964 - time (sec): 432.71 - samples/sec: 2689.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:24:05,111 epoch 27 - iter 2776/6941 - loss 0.21028914 - time (sec): 576.92 - samples/sec: 2691.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:26:32,288 epoch 27 - iter 3470/6941 - loss 0.20935169 - time (sec): 724.10 - samples/sec: 2682.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:28:56,067 epoch 27 - iter 4164/6941 - loss 0.20994030 - time (sec): 867.88 - samples/sec: 2682.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:31:21,404 epoch 27 - iter 4858/6941 - loss 0.20998148 - time (sec): 1013.21 - samples/sec: 2683.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:33:44,597 epoch 27 - iter 5552/6941 - loss 0.20981764 - time (sec): 1156.41 - samples/sec: 2686.11 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:36:08,970 epoch 27 - iter 6246/6941 - loss 0.20976872 - time (sec): 1300.78 - samples/sec: 2687.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:38:32,998 epoch 27 - iter 6940/6941 - loss 0.20994148 - time (sec): 1444.81 - samples/sec: 2685.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:38:33,100 ----------------------------------------------------------------------------------------------------
+2024-03-13 10:38:33,100 EPOCH 27 done: loss 0.2099 - lr: 0.100000
+2024-03-13 10:38:33,100  - 1 epochs without improvement
+2024-03-13 10:38:33,100 ----------------------------------------------------------------------------------------------------
+2024-03-13 10:40:57,020 epoch 28 - iter 694/6941 - loss 0.20809824 - time (sec): 143.92 - samples/sec: 2709.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:43:22,690 epoch 28 - iter 1388/6941 - loss 0.20851329 - time (sec): 289.59 - samples/sec: 2682.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:45:48,783 epoch 28 - iter 2082/6941 - loss 0.20899760 - time (sec): 435.68 - samples/sec: 2673.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:48:11,815 epoch 28 - iter 2776/6941 - loss 0.20883500 - time (sec): 578.71 - samples/sec: 2683.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:50:36,077 epoch 28 - iter 3470/6941 - loss 0.20887912 - time (sec): 722.98 - samples/sec: 2684.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:53:00,717 epoch 28 - iter 4164/6941 - loss 0.20860242 - time (sec): 867.62 - samples/sec: 2680.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:55:23,999 epoch 28 - iter 4858/6941 - loss 0.20888743 - time (sec): 1010.90 - samples/sec: 2683.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 10:57:48,523 epoch 28 - iter 5552/6941 - loss 0.20887735 - time (sec): 1155.42 - samples/sec: 2684.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:00:13,177 epoch 28 - iter 6246/6941 - loss 0.20883301 - time (sec): 1300.08 - samples/sec: 2684.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:02:37,680 epoch 28 - iter 6940/6941 - loss 0.20892294 - time (sec): 1444.58 - samples/sec: 2686.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:02:37,812 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:02:37,812 EPOCH 28 done: loss 0.2089 - lr: 0.100000
+2024-03-13 11:02:37,812  - 0 epochs without improvement
+2024-03-13 11:02:37,812 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:05:01,771 epoch 29 - iter 694/6941 - loss 0.20872965 - time (sec): 143.96 - samples/sec: 2693.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:07:26,865 epoch 29 - iter 1388/6941 - loss 0.20760447 - time (sec): 289.05 - samples/sec: 2684.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:09:49,454 epoch 29 - iter 2082/6941 - loss 0.20771273 - time (sec): 431.64 - samples/sec: 2699.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:12:12,385 epoch 29 - iter 2776/6941 - loss 0.20804842 - time (sec): 574.57 - samples/sec: 2699.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:14:36,550 epoch 29 - iter 3470/6941 - loss 0.20787646 - time (sec): 718.74 - samples/sec: 2694.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:16:59,849 epoch 29 - iter 4164/6941 - loss 0.20794497 - time (sec): 862.04 - samples/sec: 2695.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:19:25,965 epoch 29 - iter 4858/6941 - loss 0.20781120 - time (sec): 1008.15 - samples/sec: 2688.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:21:49,641 epoch 29 - iter 5552/6941 - loss 0.20798720 - time (sec): 1151.83 - samples/sec: 2688.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:24:17,541 epoch 29 - iter 6246/6941 - loss 0.20804887 - time (sec): 1299.73 - samples/sec: 2684.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:26:44,145 epoch 29 - iter 6940/6941 - loss 0.20818626 - time (sec): 1446.33 - samples/sec: 2682.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:26:44,237 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:26:44,237 EPOCH 29 done: loss 0.2082 - lr: 0.100000
+2024-03-13 11:26:44,237  - 0 epochs without improvement
+2024-03-13 11:26:44,237 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:29:10,524 epoch 30 - iter 694/6941 - loss 0.20623127 - time (sec): 146.29 - samples/sec: 2669.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:31:35,039 epoch 30 - iter 1388/6941 - loss 0.20705860 - time (sec): 290.80 - samples/sec: 2669.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:33:58,809 epoch 30 - iter 2082/6941 - loss 0.20775173 - time (sec): 434.57 - samples/sec: 2682.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:36:23,255 epoch 30 - iter 2776/6941 - loss 0.20828524 - time (sec): 579.02 - samples/sec: 2682.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:38:48,642 epoch 30 - iter 3470/6941 - loss 0.20755949 - time (sec): 724.40 - samples/sec: 2681.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:41:15,331 epoch 30 - iter 4164/6941 - loss 0.20773343 - time (sec): 871.09 - samples/sec: 2675.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:43:39,115 epoch 30 - iter 4858/6941 - loss 0.20748564 - time (sec): 1014.88 - samples/sec: 2679.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:46:03,574 epoch 30 - iter 5552/6941 - loss 0.20779447 - time (sec): 1159.34 - samples/sec: 2680.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:48:25,669 epoch 30 - iter 6246/6941 - loss 0.20779719 - time (sec): 1301.43 - samples/sec: 2684.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:50:52,129 epoch 30 - iter 6940/6941 - loss 0.20779653 - time (sec): 1447.89 - samples/sec: 2679.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:50:52,242 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:50:52,242 EPOCH 30 done: loss 0.2078 - lr: 0.100000
+2024-03-13 11:50:52,242  - 0 epochs without improvement
+2024-03-13 11:50:52,242 ----------------------------------------------------------------------------------------------------
+2024-03-13 11:53:16,658 epoch 31 - iter 694/6941 - loss 0.20819537 - time (sec): 144.42 - samples/sec: 2694.47 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:55:38,838 epoch 31 - iter 1388/6941 - loss 0.20672094 - time (sec): 286.60 - samples/sec: 2712.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 11:58:02,119 epoch 31 - iter 2082/6941 - loss 0.20681279 - time (sec): 429.88 - samples/sec: 2706.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:00:25,343 epoch 31 - iter 2776/6941 - loss 0.20685043 - time (sec): 573.10 - samples/sec: 2705.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:02:49,612 epoch 31 - iter 3470/6941 - loss 0.20713919 - time (sec): 717.37 - samples/sec: 2703.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:05:12,916 epoch 31 - iter 4164/6941 - loss 0.20710239 - time (sec): 860.67 - samples/sec: 2705.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:07:39,362 epoch 31 - iter 4858/6941 - loss 0.20715319 - time (sec): 1007.12 - samples/sec: 2697.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:10:05,882 epoch 31 - iter 5552/6941 - loss 0.20724653 - time (sec): 1153.64 - samples/sec: 2692.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:12:31,232 epoch 31 - iter 6246/6941 - loss 0.20720674 - time (sec): 1298.99 - samples/sec: 2689.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:14:56,441 epoch 31 - iter 6940/6941 - loss 0.20713573 - time (sec): 1444.20 - samples/sec: 2686.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:14:56,549 ----------------------------------------------------------------------------------------------------
+2024-03-13 12:14:56,549 EPOCH 31 done: loss 0.2071 - lr: 0.100000
+2024-03-13 12:14:56,549  - 0 epochs without improvement
+2024-03-13 12:14:56,549 ----------------------------------------------------------------------------------------------------
+2024-03-13 12:17:21,359 epoch 32 - iter 694/6941 - loss 0.20380833 - time (sec): 144.81 - samples/sec: 2684.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:19:47,711 epoch 32 - iter 1388/6941 - loss 0.20477203 - time (sec): 291.16 - samples/sec: 2676.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:22:08,100 epoch 32 - iter 2082/6941 - loss 0.20602529 - time (sec): 431.55 - samples/sec: 2700.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:24:33,477 epoch 32 - iter 2776/6941 - loss 0.20529192 - time (sec): 576.93 - samples/sec: 2694.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:26:57,490 epoch 32 - iter 3470/6941 - loss 0.20580898 - time (sec): 720.94 - samples/sec: 2692.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:29:21,397 epoch 32 - iter 4164/6941 - loss 0.20619317 - time (sec): 864.85 - samples/sec: 2691.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:31:45,105 epoch 32 - iter 4858/6941 - loss 0.20626082 - time (sec): 1008.56 - samples/sec: 2692.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:34:10,005 epoch 32 - iter 5552/6941 - loss 0.20624965 - time (sec): 1153.46 - samples/sec: 2692.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:36:35,631 epoch 32 - iter 6246/6941 - loss 0.20624376 - time (sec): 1299.08 - samples/sec: 2688.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:39:00,565 epoch 32 - iter 6940/6941 - loss 0.20635217 - time (sec): 1444.02 - samples/sec: 2687.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:39:00,671 ----------------------------------------------------------------------------------------------------
+2024-03-13 12:39:00,671 EPOCH 32 done: loss 0.2064 - lr: 0.100000
+2024-03-13 12:39:00,671  - 0 epochs without improvement
+2024-03-13 12:39:00,671 ----------------------------------------------------------------------------------------------------
+2024-03-13 12:41:26,118 epoch 33 - iter 694/6941 - loss 0.20506427 - time (sec): 145.45 - samples/sec: 2677.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:43:47,373 epoch 33 - iter 1388/6941 - loss 0.20452731 - time (sec): 286.70 - samples/sec: 2698.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:46:13,374 epoch 33 - iter 2082/6941 - loss 0.20456583 - time (sec): 432.70 - samples/sec: 2684.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:48:40,646 epoch 33 - iter 2776/6941 - loss 0.20423270 - time (sec): 579.98 - samples/sec: 2674.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:51:03,118 epoch 33 - iter 3470/6941 - loss 0.20457141 - time (sec): 722.45 - samples/sec: 2682.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:53:24,244 epoch 33 - iter 4164/6941 - loss 0.20491226 - time (sec): 863.57 - samples/sec: 2692.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:55:47,795 epoch 33 - iter 4858/6941 - loss 0.20485391 - time (sec): 1007.12 - samples/sec: 2695.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 12:58:15,216 epoch 33 - iter 5552/6941 - loss 0.20493658 - time (sec): 1154.54 - samples/sec: 2687.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:00:41,882 epoch 33 - iter 6246/6941 - loss 0.20520327 - time (sec): 1301.21 - samples/sec: 2684.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:03:07,267 epoch 33 - iter 6940/6941 - loss 0.20525196 - time (sec): 1446.60 - samples/sec: 2682.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:03:07,383 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:03:07,383 EPOCH 33 done: loss 0.2053 - lr: 0.100000
+2024-03-13 13:03:07,383  - 0 epochs without improvement
+2024-03-13 13:03:07,383 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:05:32,299 epoch 34 - iter 694/6941 - loss 0.20650693 - time (sec): 144.92 - samples/sec: 2685.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:07:57,195 epoch 34 - iter 1388/6941 - loss 0.20557121 - time (sec): 289.81 - samples/sec: 2686.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:10:21,920 epoch 34 - iter 2082/6941 - loss 0.20589123 - time (sec): 434.54 - samples/sec: 2677.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:12:44,146 epoch 34 - iter 2776/6941 - loss 0.20566331 - time (sec): 576.76 - samples/sec: 2688.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:15:10,101 epoch 34 - iter 3470/6941 - loss 0.20513933 - time (sec): 722.72 - samples/sec: 2685.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:17:36,434 epoch 34 - iter 4164/6941 - loss 0.20513381 - time (sec): 869.05 - samples/sec: 2681.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:20:00,871 epoch 34 - iter 4858/6941 - loss 0.20519025 - time (sec): 1013.49 - samples/sec: 2678.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:22:21,677 epoch 34 - iter 5552/6941 - loss 0.20489977 - time (sec): 1154.29 - samples/sec: 2686.27 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:24:50,038 epoch 34 - iter 6246/6941 - loss 0.20510204 - time (sec): 1302.65 - samples/sec: 2680.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:27:14,601 epoch 34 - iter 6940/6941 - loss 0.20513718 - time (sec): 1447.22 - samples/sec: 2681.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:27:14,695 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:27:14,695 EPOCH 34 done: loss 0.2052 - lr: 0.100000
+2024-03-13 13:27:14,695  - 0 epochs without improvement
+2024-03-13 13:27:14,695 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:29:40,265 epoch 35 - iter 694/6941 - loss 0.20382367 - time (sec): 145.57 - samples/sec: 2671.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:32:04,883 epoch 35 - iter 1388/6941 - loss 0.20345265 - time (sec): 290.19 - samples/sec: 2678.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:34:29,612 epoch 35 - iter 2082/6941 - loss 0.20391741 - time (sec): 434.92 - samples/sec: 2679.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:36:55,303 epoch 35 - iter 2776/6941 - loss 0.20436267 - time (sec): 580.61 - samples/sec: 2677.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:39:18,818 epoch 35 - iter 3470/6941 - loss 0.20444476 - time (sec): 724.12 - samples/sec: 2681.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:41:43,126 epoch 35 - iter 4164/6941 - loss 0.20446813 - time (sec): 868.43 - samples/sec: 2684.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:44:07,619 epoch 35 - iter 4858/6941 - loss 0.20428801 - time (sec): 1012.92 - samples/sec: 2684.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:46:33,301 epoch 35 - iter 5552/6941 - loss 0.20418079 - time (sec): 1158.61 - samples/sec: 2681.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:48:57,603 epoch 35 - iter 6246/6941 - loss 0.20407101 - time (sec): 1302.91 - samples/sec: 2681.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:51:21,560 epoch 35 - iter 6940/6941 - loss 0.20425314 - time (sec): 1446.86 - samples/sec: 2681.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:51:21,695 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:51:21,695 EPOCH 35 done: loss 0.2043 - lr: 0.100000
+2024-03-13 13:51:21,695  - 0 epochs without improvement
+2024-03-13 13:51:21,695 ----------------------------------------------------------------------------------------------------
+2024-03-13 13:53:49,672 epoch 36 - iter 694/6941 - loss 0.20549539 - time (sec): 147.98 - samples/sec: 2624.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:56:15,752 epoch 36 - iter 1388/6941 - loss 0.20389563 - time (sec): 294.06 - samples/sec: 2642.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 13:58:40,704 epoch 36 - iter 2082/6941 - loss 0.20320264 - time (sec): 439.01 - samples/sec: 2655.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:01:03,185 epoch 36 - iter 2776/6941 - loss 0.20353850 - time (sec): 581.49 - samples/sec: 2672.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:03:28,883 epoch 36 - iter 3470/6941 - loss 0.20380348 - time (sec): 727.19 - samples/sec: 2671.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:05:54,646 epoch 36 - iter 4164/6941 - loss 0.20394430 - time (sec): 872.95 - samples/sec: 2670.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:08:16,921 epoch 36 - iter 4858/6941 - loss 0.20385266 - time (sec): 1015.23 - samples/sec: 2674.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:10:39,383 epoch 36 - iter 5552/6941 - loss 0.20385349 - time (sec): 1157.69 - samples/sec: 2679.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:13:00,449 epoch 36 - iter 6246/6941 - loss 0.20417744 - time (sec): 1298.75 - samples/sec: 2686.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:15:27,023 epoch 36 - iter 6940/6941 - loss 0.20416562 - time (sec): 1445.33 - samples/sec: 2684.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:15:27,130 ----------------------------------------------------------------------------------------------------
+2024-03-13 14:15:27,130 EPOCH 36 done: loss 0.2042 - lr: 0.100000
+2024-03-13 14:15:27,130  - 0 epochs without improvement
+2024-03-13 14:15:27,130 ----------------------------------------------------------------------------------------------------
+2024-03-13 14:17:50,701 epoch 37 - iter 694/6941 - loss 0.20374101 - time (sec): 143.57 - samples/sec: 2704.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:20:18,259 epoch 37 - iter 1388/6941 - loss 0.20296671 - time (sec): 291.13 - samples/sec: 2672.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:22:44,987 epoch 37 - iter 2082/6941 - loss 0.20374682 - time (sec): 437.86 - samples/sec: 2670.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:25:09,024 epoch 37 - iter 2776/6941 - loss 0.20377634 - time (sec): 581.89 - samples/sec: 2675.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:27:33,671 epoch 37 - iter 3470/6941 - loss 0.20375272 - time (sec): 726.54 - samples/sec: 2679.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:29:59,903 epoch 37 - iter 4164/6941 - loss 0.20315159 - time (sec): 872.77 - samples/sec: 2676.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:32:22,411 epoch 37 - iter 4858/6941 - loss 0.20329084 - time (sec): 1015.28 - samples/sec: 2679.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:34:45,298 epoch 37 - iter 5552/6941 - loss 0.20349650 - time (sec): 1158.17 - samples/sec: 2683.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:37:10,071 epoch 37 - iter 6246/6941 - loss 0.20356500 - time (sec): 1302.94 - samples/sec: 2682.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:39:31,623 epoch 37 - iter 6940/6941 - loss 0.20368552 - time (sec): 1444.49 - samples/sec: 2686.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:39:31,727 ----------------------------------------------------------------------------------------------------
+2024-03-13 14:39:31,727 EPOCH 37 done: loss 0.2037 - lr: 0.100000
+2024-03-13 14:39:31,727  - 0 epochs without improvement
+2024-03-13 14:39:31,727 ----------------------------------------------------------------------------------------------------
+2024-03-13 14:41:55,519 epoch 38 - iter 694/6941 - loss 0.20188747 - time (sec): 143.79 - samples/sec: 2703.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:44:19,551 epoch 38 - iter 1388/6941 - loss 0.20254138 - time (sec): 287.82 - samples/sec: 2706.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:46:42,559 epoch 38 - iter 2082/6941 - loss 0.20263411 - time (sec): 430.83 - samples/sec: 2701.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:49:05,647 epoch 38 - iter 2776/6941 - loss 0.20261945 - time (sec): 573.92 - samples/sec: 2702.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:51:29,773 epoch 38 - iter 3470/6941 - loss 0.20278667 - time (sec): 718.05 - samples/sec: 2703.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:53:56,206 epoch 38 - iter 4164/6941 - loss 0.20292627 - time (sec): 864.48 - samples/sec: 2694.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:56:21,390 epoch 38 - iter 4858/6941 - loss 0.20304990 - time (sec): 1009.66 - samples/sec: 2690.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 14:58:45,940 epoch 38 - iter 5552/6941 - loss 0.20286903 - time (sec): 1154.21 - samples/sec: 2689.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:01:11,110 epoch 38 - iter 6246/6941 - loss 0.20326035 - time (sec): 1299.38 - samples/sec: 2687.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:03:36,027 epoch 38 - iter 6940/6941 - loss 0.20318159 - time (sec): 1444.30 - samples/sec: 2686.60 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:03:36,153 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:03:36,153 EPOCH 38 done: loss 0.2032 - lr: 0.100000
+2024-03-13 15:03:36,153  - 0 epochs without improvement
+2024-03-13 15:03:36,154 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:05:59,301 epoch 39 - iter 694/6941 - loss 0.20176517 - time (sec): 143.15 - samples/sec: 2718.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:08:23,934 epoch 39 - iter 1388/6941 - loss 0.20142802 - time (sec): 287.78 - samples/sec: 2701.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:10:49,284 epoch 39 - iter 2082/6941 - loss 0.20162019 - time (sec): 433.13 - samples/sec: 2693.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:13:12,911 epoch 39 - iter 2776/6941 - loss 0.20139186 - time (sec): 576.76 - samples/sec: 2699.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:15:36,759 epoch 39 - iter 3470/6941 - loss 0.20138387 - time (sec): 720.61 - samples/sec: 2693.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:18:00,578 epoch 39 - iter 4164/6941 - loss 0.20182263 - time (sec): 864.42 - samples/sec: 2694.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:20:25,677 epoch 39 - iter 4858/6941 - loss 0.20228464 - time (sec): 1009.52 - samples/sec: 2690.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:22:49,470 epoch 39 - iter 5552/6941 - loss 0.20257339 - time (sec): 1153.32 - samples/sec: 2691.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:25:14,937 epoch 39 - iter 6246/6941 - loss 0.20240624 - time (sec): 1298.78 - samples/sec: 2687.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:27:41,338 epoch 39 - iter 6940/6941 - loss 0.20248671 - time (sec): 1445.18 - samples/sec: 2684.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:27:41,462 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:27:41,462 EPOCH 39 done: loss 0.2025 - lr: 0.100000
+2024-03-13 15:27:41,463  - 0 epochs without improvement
+2024-03-13 15:27:41,463 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:30:05,955 epoch 40 - iter 694/6941 - loss 0.19898620 - time (sec): 144.49 - samples/sec: 2679.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:32:31,231 epoch 40 - iter 1388/6941 - loss 0.20019033 - time (sec): 289.77 - samples/sec: 2680.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:34:57,203 epoch 40 - iter 2082/6941 - loss 0.20112924 - time (sec): 435.74 - samples/sec: 2674.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:37:20,969 epoch 40 - iter 2776/6941 - loss 0.20149578 - time (sec): 579.51 - samples/sec: 2680.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:39:43,286 epoch 40 - iter 3470/6941 - loss 0.20153026 - time (sec): 721.82 - samples/sec: 2686.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:42:09,299 epoch 40 - iter 4164/6941 - loss 0.20138282 - time (sec): 867.84 - samples/sec: 2682.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:44:32,737 epoch 40 - iter 4858/6941 - loss 0.20177153 - time (sec): 1011.27 - samples/sec: 2684.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:46:57,044 epoch 40 - iter 5552/6941 - loss 0.20198341 - time (sec): 1155.58 - samples/sec: 2683.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:49:22,684 epoch 40 - iter 6246/6941 - loss 0.20219537 - time (sec): 1301.22 - samples/sec: 2680.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:51:47,258 epoch 40 - iter 6940/6941 - loss 0.20225577 - time (sec): 1445.80 - samples/sec: 2683.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:51:47,412 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:51:47,412 EPOCH 40 done: loss 0.2023 - lr: 0.100000
+2024-03-13 15:51:47,412  - 0 epochs without improvement
+2024-03-13 15:51:47,412 ----------------------------------------------------------------------------------------------------
+2024-03-13 15:54:13,846 epoch 41 - iter 694/6941 - loss 0.19900891 - time (sec): 146.43 - samples/sec: 2671.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:56:39,253 epoch 41 - iter 1388/6941 - loss 0.20025076 - time (sec): 291.84 - samples/sec: 2677.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 15:59:02,069 epoch 41 - iter 2082/6941 - loss 0.20121521 - time (sec): 434.66 - samples/sec: 2686.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:01:26,207 epoch 41 - iter 2776/6941 - loss 0.20136563 - time (sec): 578.80 - samples/sec: 2686.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:03:51,132 epoch 41 - iter 3470/6941 - loss 0.20162281 - time (sec): 723.72 - samples/sec: 2684.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:06:17,625 epoch 41 - iter 4164/6941 - loss 0.20155745 - time (sec): 870.21 - samples/sec: 2679.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:08:39,302 epoch 41 - iter 4858/6941 - loss 0.20149344 - time (sec): 1011.89 - samples/sec: 2685.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:11:01,186 epoch 41 - iter 5552/6941 - loss 0.20176664 - time (sec): 1153.77 - samples/sec: 2688.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:13:25,175 epoch 41 - iter 6246/6941 - loss 0.20173663 - time (sec): 1297.76 - samples/sec: 2688.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:15:51,991 epoch 41 - iter 6940/6941 - loss 0.20174397 - time (sec): 1444.58 - samples/sec: 2686.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:15:52,114 ----------------------------------------------------------------------------------------------------
+2024-03-13 16:15:52,114 EPOCH 41 done: loss 0.2017 - lr: 0.100000
+2024-03-13 16:15:52,114  - 0 epochs without improvement
+2024-03-13 16:15:52,114 ----------------------------------------------------------------------------------------------------
+2024-03-13 16:18:16,706 epoch 42 - iter 694/6941 - loss 0.20013727 - time (sec): 144.59 - samples/sec: 2706.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:20:41,138 epoch 42 - iter 1388/6941 - loss 0.19955262 - time (sec): 289.02 - samples/sec: 2696.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:23:04,855 epoch 42 - iter 2082/6941 - loss 0.20009420 - time (sec): 432.74 - samples/sec: 2695.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:25:28,367 epoch 42 - iter 2776/6941 - loss 0.20038349 - time (sec): 576.25 - samples/sec: 2699.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:27:52,207 epoch 42 - iter 3470/6941 - loss 0.20087173 - time (sec): 720.09 - samples/sec: 2695.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:30:19,230 epoch 42 - iter 4164/6941 - loss 0.20094848 - time (sec): 867.12 - samples/sec: 2687.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:32:45,155 epoch 42 - iter 4858/6941 - loss 0.20126510 - time (sec): 1013.04 - samples/sec: 2684.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:35:09,635 epoch 42 - iter 5552/6941 - loss 0.20136147 - time (sec): 1157.52 - samples/sec: 2683.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:37:31,626 epoch 42 - iter 6246/6941 - loss 0.20118615 - time (sec): 1299.51 - samples/sec: 2688.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:39:56,109 epoch 42 - iter 6940/6941 - loss 0.20154106 - time (sec): 1444.00 - samples/sec: 2687.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:39:56,194 ----------------------------------------------------------------------------------------------------
+2024-03-13 16:39:56,194 EPOCH 42 done: loss 0.2015 - lr: 0.100000
+2024-03-13 16:39:56,194  - 0 epochs without improvement
+2024-03-13 16:39:56,194 ----------------------------------------------------------------------------------------------------
+2024-03-13 16:42:21,265 epoch 43 - iter 694/6941 - loss 0.20196630 - time (sec): 145.07 - samples/sec: 2687.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:44:45,560 epoch 43 - iter 1388/6941 - loss 0.20103450 - time (sec): 289.37 - samples/sec: 2689.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:47:12,321 epoch 43 - iter 2082/6941 - loss 0.20068385 - time (sec): 436.13 - samples/sec: 2674.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:49:35,535 epoch 43 - iter 2776/6941 - loss 0.20086151 - time (sec): 579.34 - samples/sec: 2679.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:51:59,360 epoch 43 - iter 3470/6941 - loss 0.20080447 - time (sec): 723.17 - samples/sec: 2680.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:54:22,838 epoch 43 - iter 4164/6941 - loss 0.20095664 - time (sec): 866.64 - samples/sec: 2685.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:56:49,597 epoch 43 - iter 4858/6941 - loss 0.20089445 - time (sec): 1013.40 - samples/sec: 2681.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 16:59:13,284 epoch 43 - iter 5552/6941 - loss 0.20106713 - time (sec): 1157.09 - samples/sec: 2682.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:01:36,645 epoch 43 - iter 6246/6941 - loss 0.20115440 - time (sec): 1300.45 - samples/sec: 2684.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:04:01,855 epoch 43 - iter 6940/6941 - loss 0.20110880 - time (sec): 1445.66 - samples/sec: 2684.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:04:01,971 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:04:01,971 EPOCH 43 done: loss 0.2011 - lr: 0.100000
+2024-03-13 17:04:01,971  - 0 epochs without improvement
+2024-03-13 17:04:01,972 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:06:24,791 epoch 44 - iter 694/6941 - loss 0.19735433 - time (sec): 142.82 - samples/sec: 2717.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:08:47,933 epoch 44 - iter 1388/6941 - loss 0.19775598 - time (sec): 285.96 - samples/sec: 2717.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:11:09,040 epoch 44 - iter 2082/6941 - loss 0.19895688 - time (sec): 427.07 - samples/sec: 2722.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:13:33,060 epoch 44 - iter 2776/6941 - loss 0.19958338 - time (sec): 571.09 - samples/sec: 2709.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:15:56,134 epoch 44 - iter 3470/6941 - loss 0.20019899 - time (sec): 714.16 - samples/sec: 2713.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:18:23,413 epoch 44 - iter 4164/6941 - loss 0.20019219 - time (sec): 861.44 - samples/sec: 2702.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:20:49,708 epoch 44 - iter 4858/6941 - loss 0.20035615 - time (sec): 1007.74 - samples/sec: 2695.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:23:17,266 epoch 44 - iter 5552/6941 - loss 0.20070124 - time (sec): 1155.29 - samples/sec: 2687.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:25:43,489 epoch 44 - iter 6246/6941 - loss 0.20081065 - time (sec): 1301.52 - samples/sec: 2683.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:28:07,405 epoch 44 - iter 6940/6941 - loss 0.20071067 - time (sec): 1445.43 - samples/sec: 2684.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:28:07,504 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:28:07,504 EPOCH 44 done: loss 0.2007 - lr: 0.100000
+2024-03-13 17:28:07,504  - 0 epochs without improvement
+2024-03-13 17:28:07,504 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:30:30,305 epoch 45 - iter 694/6941 - loss 0.19914541 - time (sec): 142.80 - samples/sec: 2713.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:32:50,143 epoch 45 - iter 1388/6941 - loss 0.19942880 - time (sec): 282.64 - samples/sec: 2730.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:35:12,874 epoch 45 - iter 2082/6941 - loss 0.20021967 - time (sec): 425.37 - samples/sec: 2727.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:37:38,273 epoch 45 - iter 2776/6941 - loss 0.20016424 - time (sec): 570.77 - samples/sec: 2711.40 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:40:05,998 epoch 45 - iter 3470/6941 - loss 0.19958130 - time (sec): 718.49 - samples/sec: 2693.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:42:31,927 epoch 45 - iter 4164/6941 - loss 0.19986948 - time (sec): 864.42 - samples/sec: 2690.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:44:57,957 epoch 45 - iter 4858/6941 - loss 0.19991164 - time (sec): 1010.45 - samples/sec: 2686.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:47:22,208 epoch 45 - iter 5552/6941 - loss 0.20018502 - time (sec): 1154.70 - samples/sec: 2685.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:49:46,972 epoch 45 - iter 6246/6941 - loss 0.20035184 - time (sec): 1299.47 - samples/sec: 2686.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:52:13,800 epoch 45 - iter 6940/6941 - loss 0.20015870 - time (sec): 1446.30 - samples/sec: 2682.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:52:13,864 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:52:13,864 EPOCH 45 done: loss 0.2002 - lr: 0.100000
+2024-03-13 17:52:13,864  - 0 epochs without improvement
+2024-03-13 17:52:13,864 ----------------------------------------------------------------------------------------------------
+2024-03-13 17:54:37,046 epoch 46 - iter 694/6941 - loss 0.20148789 - time (sec): 143.18 - samples/sec: 2695.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:57:02,246 epoch 46 - iter 1388/6941 - loss 0.20031527 - time (sec): 288.38 - samples/sec: 2683.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 17:59:24,965 epoch 46 - iter 2082/6941 - loss 0.19975490 - time (sec): 431.10 - samples/sec: 2690.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:01:51,430 epoch 46 - iter 2776/6941 - loss 0.19994100 - time (sec): 577.57 - samples/sec: 2684.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:04:16,334 epoch 46 - iter 3470/6941 - loss 0.19990913 - time (sec): 722.47 - samples/sec: 2684.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:06:40,137 epoch 46 - iter 4164/6941 - loss 0.20017997 - time (sec): 866.27 - samples/sec: 2686.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:09:03,762 epoch 46 - iter 4858/6941 - loss 0.19991201 - time (sec): 1009.90 - samples/sec: 2688.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:11:26,875 epoch 46 - iter 5552/6941 - loss 0.19971652 - time (sec): 1153.01 - samples/sec: 2690.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:13:53,988 epoch 46 - iter 6246/6941 - loss 0.19970913 - time (sec): 1300.12 - samples/sec: 2686.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:16:20,759 epoch 46 - iter 6940/6941 - loss 0.19990053 - time (sec): 1446.89 - samples/sec: 2681.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:16:20,899 ----------------------------------------------------------------------------------------------------
+2024-03-13 18:16:20,899 EPOCH 46 done: loss 0.1999 - lr: 0.100000
+2024-03-13 18:16:20,899  - 0 epochs without improvement
+2024-03-13 18:16:20,899 ----------------------------------------------------------------------------------------------------
+2024-03-13 18:18:46,844 epoch 47 - iter 694/6941 - loss 0.19994439 - time (sec): 145.94 - samples/sec: 2676.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:21:13,541 epoch 47 - iter 1388/6941 - loss 0.19963961 - time (sec): 292.64 - samples/sec: 2666.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:23:36,683 epoch 47 - iter 2082/6941 - loss 0.19921324 - time (sec): 435.78 - samples/sec: 2682.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:26:01,639 epoch 47 - iter 2776/6941 - loss 0.19924267 - time (sec): 580.74 - samples/sec: 2683.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:28:24,122 epoch 47 - iter 3470/6941 - loss 0.19949625 - time (sec): 723.22 - samples/sec: 2687.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:30:49,846 epoch 47 - iter 4164/6941 - loss 0.19952402 - time (sec): 868.95 - samples/sec: 2686.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:33:14,260 epoch 47 - iter 4858/6941 - loss 0.19935417 - time (sec): 1013.36 - samples/sec: 2683.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:35:38,565 epoch 47 - iter 5552/6941 - loss 0.19959995 - time (sec): 1157.67 - samples/sec: 2683.35 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:38:02,410 epoch 47 - iter 6246/6941 - loss 0.19959296 - time (sec): 1301.51 - samples/sec: 2684.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:40:25,489 epoch 47 - iter 6940/6941 - loss 0.19957915 - time (sec): 1444.59 - samples/sec: 2686.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:40:25,542 ----------------------------------------------------------------------------------------------------
+2024-03-13 18:40:25,542 EPOCH 47 done: loss 0.1996 - lr: 0.100000
+2024-03-13 18:40:25,542  - 0 epochs without improvement
+2024-03-13 18:40:25,542 ----------------------------------------------------------------------------------------------------
+2024-03-13 18:42:49,664 epoch 48 - iter 694/6941 - loss 0.19825995 - time (sec): 144.12 - samples/sec: 2688.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:45:14,368 epoch 48 - iter 1388/6941 - loss 0.19919228 - time (sec): 288.83 - samples/sec: 2686.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:47:41,639 epoch 48 - iter 2082/6941 - loss 0.19921945 - time (sec): 436.10 - samples/sec: 2673.11 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:50:04,976 epoch 48 - iter 2776/6941 - loss 0.19873713 - time (sec): 579.43 - samples/sec: 2679.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:52:30,182 epoch 48 - iter 3470/6941 - loss 0.19877700 - time (sec): 724.64 - samples/sec: 2679.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:54:52,046 epoch 48 - iter 4164/6941 - loss 0.19867616 - time (sec): 866.50 - samples/sec: 2688.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:57:17,069 epoch 48 - iter 4858/6941 - loss 0.19916536 - time (sec): 1011.53 - samples/sec: 2685.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 18:59:42,539 epoch 48 - iter 5552/6941 - loss 0.19947750 - time (sec): 1157.00 - samples/sec: 2685.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:02:06,422 epoch 48 - iter 6246/6941 - loss 0.19940289 - time (sec): 1300.88 - samples/sec: 2687.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:04:30,731 epoch 48 - iter 6940/6941 - loss 0.19955795 - time (sec): 1445.19 - samples/sec: 2684.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:04:30,820 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:04:30,820 EPOCH 48 done: loss 0.1996 - lr: 0.100000
+2024-03-13 19:04:30,820  - 0 epochs without improvement
+2024-03-13 19:04:30,821 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:06:52,749 epoch 49 - iter 694/6941 - loss 0.19777983 - time (sec): 141.93 - samples/sec: 2723.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:09:18,872 epoch 49 - iter 1388/6941 - loss 0.19854935 - time (sec): 288.05 - samples/sec: 2694.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:11:45,530 epoch 49 - iter 2082/6941 - loss 0.19842324 - time (sec): 434.71 - samples/sec: 2681.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:14:12,321 epoch 49 - iter 2776/6941 - loss 0.19811878 - time (sec): 581.50 - samples/sec: 2675.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:16:35,032 epoch 49 - iter 3470/6941 - loss 0.19816341 - time (sec): 724.21 - samples/sec: 2680.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:18:58,574 epoch 49 - iter 4164/6941 - loss 0.19817032 - time (sec): 867.75 - samples/sec: 2682.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:21:21,591 epoch 49 - iter 4858/6941 - loss 0.19832173 - time (sec): 1010.77 - samples/sec: 2686.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:23:45,064 epoch 49 - iter 5552/6941 - loss 0.19849190 - time (sec): 1154.24 - samples/sec: 2686.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:26:11,464 epoch 49 - iter 6246/6941 - loss 0.19860910 - time (sec): 1300.64 - samples/sec: 2685.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:28:33,760 epoch 49 - iter 6940/6941 - loss 0.19862707 - time (sec): 1442.94 - samples/sec: 2689.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:28:33,840 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:28:33,840 EPOCH 49 done: loss 0.1986 - lr: 0.100000
+2024-03-13 19:28:33,840  - 0 epochs without improvement
+2024-03-13 19:28:33,841 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:30:56,074 epoch 50 - iter 694/6941 - loss 0.19703360 - time (sec): 142.23 - samples/sec: 2706.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:33:22,513 epoch 50 - iter 1388/6941 - loss 0.19838898 - time (sec): 288.67 - samples/sec: 2682.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:35:44,714 epoch 50 - iter 2082/6941 - loss 0.19870145 - time (sec): 430.87 - samples/sec: 2693.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:38:09,780 epoch 50 - iter 2776/6941 - loss 0.19893594 - time (sec): 575.94 - samples/sec: 2687.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:40:33,483 epoch 50 - iter 3470/6941 - loss 0.19881896 - time (sec): 719.64 - samples/sec: 2691.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:42:59,599 epoch 50 - iter 4164/6941 - loss 0.19899056 - time (sec): 865.76 - samples/sec: 2689.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:45:23,313 epoch 50 - iter 4858/6941 - loss 0.19902189 - time (sec): 1009.47 - samples/sec: 2689.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:47:49,147 epoch 50 - iter 5552/6941 - loss 0.19889019 - time (sec): 1155.31 - samples/sec: 2686.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:50:14,224 epoch 50 - iter 6246/6941 - loss 0.19900927 - time (sec): 1300.38 - samples/sec: 2687.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:52:39,800 epoch 50 - iter 6940/6941 - loss 0.19934958 - time (sec): 1445.96 - samples/sec: 2683.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:52:39,902 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:52:39,902 EPOCH 50 done: loss 0.1994 - lr: 0.100000
+2024-03-13 19:52:39,902  - 1 epochs without improvement
+2024-03-13 19:52:39,902 ----------------------------------------------------------------------------------------------------
+2024-03-13 19:55:00,004 epoch 51 - iter 694/6941 - loss 0.19542018 - time (sec): 140.10 - samples/sec: 2759.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:57:24,990 epoch 51 - iter 1388/6941 - loss 0.19650343 - time (sec): 285.09 - samples/sec: 2717.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 19:59:47,298 epoch 51 - iter 2082/6941 - loss 0.19745089 - time (sec): 427.40 - samples/sec: 2721.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:02:10,548 epoch 51 - iter 2776/6941 - loss 0.19757321 - time (sec): 570.65 - samples/sec: 2717.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:04:37,112 epoch 51 - iter 3470/6941 - loss 0.19769593 - time (sec): 717.21 - samples/sec: 2702.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:07:02,649 epoch 51 - iter 4164/6941 - loss 0.19792805 - time (sec): 862.75 - samples/sec: 2696.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:09:30,076 epoch 51 - iter 4858/6941 - loss 0.19806250 - time (sec): 1010.17 - samples/sec: 2687.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:11:54,778 epoch 51 - iter 5552/6941 - loss 0.19844014 - time (sec): 1154.88 - samples/sec: 2686.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:14:22,091 epoch 51 - iter 6246/6941 - loss 0.19859685 - time (sec): 1302.19 - samples/sec: 2681.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:16:47,320 epoch 51 - iter 6940/6941 - loss 0.19849027 - time (sec): 1447.42 - samples/sec: 2680.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:16:47,404 ----------------------------------------------------------------------------------------------------
+2024-03-13 20:16:47,405 EPOCH 51 done: loss 0.1985 - lr: 0.100000
+2024-03-13 20:16:47,405  - 0 epochs without improvement
+2024-03-13 20:16:47,405 ----------------------------------------------------------------------------------------------------
+2024-03-13 20:19:11,854 epoch 52 - iter 694/6941 - loss 0.19664224 - time (sec): 144.45 - samples/sec: 2686.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:21:38,530 epoch 52 - iter 1388/6941 - loss 0.19666472 - time (sec): 291.12 - samples/sec: 2673.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:24:01,148 epoch 52 - iter 2082/6941 - loss 0.19754204 - time (sec): 433.74 - samples/sec: 2685.40 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:26:26,100 epoch 52 - iter 2776/6941 - loss 0.19805097 - time (sec): 578.69 - samples/sec: 2687.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:28:50,888 epoch 52 - iter 3470/6941 - loss 0.19803953 - time (sec): 723.48 - samples/sec: 2685.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:31:15,252 epoch 52 - iter 4164/6941 - loss 0.19817457 - time (sec): 867.85 - samples/sec: 2687.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:33:39,453 epoch 52 - iter 4858/6941 - loss 0.19807159 - time (sec): 1012.05 - samples/sec: 2687.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:36:03,357 epoch 52 - iter 5552/6941 - loss 0.19805895 - time (sec): 1155.95 - samples/sec: 2688.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:38:28,405 epoch 52 - iter 6246/6941 - loss 0.19804171 - time (sec): 1301.00 - samples/sec: 2685.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:40:52,734 epoch 52 - iter 6940/6941 - loss 0.19801360 - time (sec): 1445.33 - samples/sec: 2684.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:40:52,785 ----------------------------------------------------------------------------------------------------
+2024-03-13 20:40:52,785 EPOCH 52 done: loss 0.1980 - lr: 0.100000
+2024-03-13 20:40:52,785  - 0 epochs without improvement
+2024-03-13 20:40:52,785 ----------------------------------------------------------------------------------------------------
+2024-03-13 20:43:15,008 epoch 53 - iter 694/6941 - loss 0.19556162 - time (sec): 142.22 - samples/sec: 2729.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:45:40,137 epoch 53 - iter 1388/6941 - loss 0.19689635 - time (sec): 287.35 - samples/sec: 2692.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:48:06,332 epoch 53 - iter 2082/6941 - loss 0.19687569 - time (sec): 433.55 - samples/sec: 2679.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:50:32,560 epoch 53 - iter 2776/6941 - loss 0.19740422 - time (sec): 579.77 - samples/sec: 2674.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:52:57,419 epoch 53 - iter 3470/6941 - loss 0.19730197 - time (sec): 724.63 - samples/sec: 2676.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:55:22,368 epoch 53 - iter 4164/6941 - loss 0.19735881 - time (sec): 869.58 - samples/sec: 2677.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 20:57:48,570 epoch 53 - iter 4858/6941 - loss 0.19760942 - time (sec): 1015.78 - samples/sec: 2674.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:00:11,903 epoch 53 - iter 5552/6941 - loss 0.19741160 - time (sec): 1159.12 - samples/sec: 2680.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:02:36,218 epoch 53 - iter 6246/6941 - loss 0.19751569 - time (sec): 1303.43 - samples/sec: 2680.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:05:00,156 epoch 53 - iter 6940/6941 - loss 0.19765809 - time (sec): 1447.37 - samples/sec: 2680.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:05:00,211 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:05:00,211 EPOCH 53 done: loss 0.1977 - lr: 0.100000
+2024-03-13 21:05:00,211  - 0 epochs without improvement
+2024-03-13 21:05:00,211 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:07:24,247 epoch 54 - iter 694/6941 - loss 0.19646336 - time (sec): 144.04 - samples/sec: 2693.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:09:49,691 epoch 54 - iter 1388/6941 - loss 0.19650240 - time (sec): 289.48 - samples/sec: 2680.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:12:15,065 epoch 54 - iter 2082/6941 - loss 0.19704218 - time (sec): 434.85 - samples/sec: 2683.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:14:39,822 epoch 54 - iter 2776/6941 - loss 0.19757224 - time (sec): 579.61 - samples/sec: 2680.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:17:02,401 epoch 54 - iter 3470/6941 - loss 0.19721162 - time (sec): 722.19 - samples/sec: 2685.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:19:26,232 epoch 54 - iter 4164/6941 - loss 0.19760971 - time (sec): 866.02 - samples/sec: 2687.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:21:48,165 epoch 54 - iter 4858/6941 - loss 0.19794055 - time (sec): 1007.95 - samples/sec: 2693.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:24:12,529 epoch 54 - iter 5552/6941 - loss 0.19807032 - time (sec): 1152.32 - samples/sec: 2692.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:26:38,026 epoch 54 - iter 6246/6941 - loss 0.19805114 - time (sec): 1297.81 - samples/sec: 2689.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:29:04,516 epoch 54 - iter 6940/6941 - loss 0.19797202 - time (sec): 1444.30 - samples/sec: 2686.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:29:04,659 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:29:04,659 EPOCH 54 done: loss 0.1980 - lr: 0.100000
+2024-03-13 21:29:04,659  - 1 epochs without improvement
+2024-03-13 21:29:04,659 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:31:26,961 epoch 55 - iter 694/6941 - loss 0.19495693 - time (sec): 142.30 - samples/sec: 2714.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:33:52,857 epoch 55 - iter 1388/6941 - loss 0.19632047 - time (sec): 288.20 - samples/sec: 2692.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:36:17,032 epoch 55 - iter 2082/6941 - loss 0.19682994 - time (sec): 432.37 - samples/sec: 2690.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:38:40,029 epoch 55 - iter 2776/6941 - loss 0.19716239 - time (sec): 575.37 - samples/sec: 2697.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:41:06,120 epoch 55 - iter 3470/6941 - loss 0.19696507 - time (sec): 721.46 - samples/sec: 2687.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:43:32,639 epoch 55 - iter 4164/6941 - loss 0.19697708 - time (sec): 867.98 - samples/sec: 2681.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:45:58,051 epoch 55 - iter 4858/6941 - loss 0.19670182 - time (sec): 1013.39 - samples/sec: 2681.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:48:23,346 epoch 55 - iter 5552/6941 - loss 0.19678284 - time (sec): 1158.69 - samples/sec: 2683.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:50:43,488 epoch 55 - iter 6246/6941 - loss 0.19683577 - time (sec): 1298.83 - samples/sec: 2689.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:53:10,262 epoch 55 - iter 6940/6941 - loss 0.19712900 - time (sec): 1445.60 - samples/sec: 2684.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:53:10,325 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:53:10,325 EPOCH 55 done: loss 0.1971 - lr: 0.100000
+2024-03-13 21:53:10,325  - 0 epochs without improvement
+2024-03-13 21:53:10,325 ----------------------------------------------------------------------------------------------------
+2024-03-13 21:55:36,116 epoch 56 - iter 694/6941 - loss 0.19850282 - time (sec): 145.79 - samples/sec: 2659.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 21:58:01,741 epoch 56 - iter 1388/6941 - loss 0.19877710 - time (sec): 291.42 - samples/sec: 2656.27 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:00:26,447 epoch 56 - iter 2082/6941 - loss 0.19824018 - time (sec): 436.12 - samples/sec: 2672.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:02:46,393 epoch 56 - iter 2776/6941 - loss 0.19849562 - time (sec): 576.07 - samples/sec: 2691.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:05:11,333 epoch 56 - iter 3470/6941 - loss 0.19797014 - time (sec): 721.01 - samples/sec: 2690.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:07:35,039 epoch 56 - iter 4164/6941 - loss 0.19780777 - time (sec): 864.71 - samples/sec: 2690.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:09:58,286 epoch 56 - iter 4858/6941 - loss 0.19747092 - time (sec): 1007.96 - samples/sec: 2693.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:12:24,431 epoch 56 - iter 5552/6941 - loss 0.19731155 - time (sec): 1154.11 - samples/sec: 2688.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:14:50,144 epoch 56 - iter 6246/6941 - loss 0.19724470 - time (sec): 1299.82 - samples/sec: 2685.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:17:14,836 epoch 56 - iter 6940/6941 - loss 0.19712775 - time (sec): 1444.51 - samples/sec: 2686.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:17:14,940 ----------------------------------------------------------------------------------------------------
+2024-03-13 22:17:14,940 EPOCH 56 done: loss 0.1971 - lr: 0.100000
+2024-03-13 22:17:14,940  - 0 epochs without improvement
+2024-03-13 22:17:14,940 ----------------------------------------------------------------------------------------------------
+2024-03-13 22:19:35,928 epoch 57 - iter 694/6941 - loss 0.19652685 - time (sec): 140.99 - samples/sec: 2743.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:21:59,610 epoch 57 - iter 1388/6941 - loss 0.19654327 - time (sec): 284.67 - samples/sec: 2721.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:24:24,372 epoch 57 - iter 2082/6941 - loss 0.19653315 - time (sec): 429.43 - samples/sec: 2715.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:26:47,639 epoch 57 - iter 2776/6941 - loss 0.19605545 - time (sec): 572.70 - samples/sec: 2712.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:29:13,945 epoch 57 - iter 3470/6941 - loss 0.19653966 - time (sec): 719.00 - samples/sec: 2703.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:31:37,079 epoch 57 - iter 4164/6941 - loss 0.19665764 - time (sec): 862.14 - samples/sec: 2701.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:34:03,194 epoch 57 - iter 4858/6941 - loss 0.19695188 - time (sec): 1008.25 - samples/sec: 2697.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:36:27,085 epoch 57 - iter 5552/6941 - loss 0.19685999 - time (sec): 1152.14 - samples/sec: 2695.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:38:52,373 epoch 57 - iter 6246/6941 - loss 0.19688983 - time (sec): 1297.43 - samples/sec: 2692.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:41:19,038 epoch 57 - iter 6940/6941 - loss 0.19714844 - time (sec): 1444.10 - samples/sec: 2686.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:41:19,093 ----------------------------------------------------------------------------------------------------
+2024-03-13 22:41:19,093 EPOCH 57 done: loss 0.1971 - lr: 0.100000
+2024-03-13 22:41:19,093  - 1 epochs without improvement
+2024-03-13 22:41:19,094 ----------------------------------------------------------------------------------------------------
+2024-03-13 22:43:46,104 epoch 58 - iter 694/6941 - loss 0.19325446 - time (sec): 147.01 - samples/sec: 2643.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:46:10,835 epoch 58 - iter 1388/6941 - loss 0.19436966 - time (sec): 291.74 - samples/sec: 2663.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:48:34,512 epoch 58 - iter 2082/6941 - loss 0.19557429 - time (sec): 435.42 - samples/sec: 2670.47 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:51:00,252 epoch 58 - iter 2776/6941 - loss 0.19502300 - time (sec): 581.16 - samples/sec: 2675.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:53:27,065 epoch 58 - iter 3470/6941 - loss 0.19533579 - time (sec): 727.97 - samples/sec: 2670.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:55:51,679 epoch 58 - iter 4164/6941 - loss 0.19563346 - time (sec): 872.58 - samples/sec: 2674.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 22:58:13,819 epoch 58 - iter 4858/6941 - loss 0.19584928 - time (sec): 1014.73 - samples/sec: 2681.43 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:00:37,437 epoch 58 - iter 5552/6941 - loss 0.19613496 - time (sec): 1158.34 - samples/sec: 2680.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:03:01,725 epoch 58 - iter 6246/6941 - loss 0.19648580 - time (sec): 1302.63 - samples/sec: 2680.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:05:25,111 epoch 58 - iter 6940/6941 - loss 0.19667988 - time (sec): 1446.02 - samples/sec: 2683.43 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:05:25,168 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:05:25,168 EPOCH 58 done: loss 0.1967 - lr: 0.100000
+2024-03-13 23:05:25,168  - 0 epochs without improvement
+2024-03-13 23:05:25,169 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:07:47,973 epoch 59 - iter 694/6941 - loss 0.19614968 - time (sec): 142.80 - samples/sec: 2702.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:10:11,163 epoch 59 - iter 1388/6941 - loss 0.19595595 - time (sec): 285.99 - samples/sec: 2705.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:12:34,474 epoch 59 - iter 2082/6941 - loss 0.19605214 - time (sec): 429.31 - samples/sec: 2710.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:14:57,138 epoch 59 - iter 2776/6941 - loss 0.19575417 - time (sec): 571.97 - samples/sec: 2711.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:17:23,798 epoch 59 - iter 3470/6941 - loss 0.19595483 - time (sec): 718.63 - samples/sec: 2702.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:19:46,657 epoch 59 - iter 4164/6941 - loss 0.19592658 - time (sec): 861.49 - samples/sec: 2704.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:22:12,173 epoch 59 - iter 4858/6941 - loss 0.19617301 - time (sec): 1007.00 - samples/sec: 2697.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:24:36,602 epoch 59 - iter 5552/6941 - loss 0.19598527 - time (sec): 1151.43 - samples/sec: 2694.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:27:00,846 epoch 59 - iter 6246/6941 - loss 0.19612303 - time (sec): 1295.68 - samples/sec: 2693.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:29:26,779 epoch 59 - iter 6940/6941 - loss 0.19631575 - time (sec): 1441.61 - samples/sec: 2691.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:29:26,902 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:29:26,902 EPOCH 59 done: loss 0.1963 - lr: 0.100000
+2024-03-13 23:29:26,902  - 0 epochs without improvement
+2024-03-13 23:29:26,902 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:31:50,940 epoch 60 - iter 694/6941 - loss 0.19707590 - time (sec): 144.04 - samples/sec: 2690.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:34:14,614 epoch 60 - iter 1388/6941 - loss 0.19620993 - time (sec): 287.71 - samples/sec: 2696.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:36:38,719 epoch 60 - iter 2082/6941 - loss 0.19648868 - time (sec): 431.82 - samples/sec: 2689.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:39:05,030 epoch 60 - iter 2776/6941 - loss 0.19616429 - time (sec): 578.13 - samples/sec: 2682.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:41:29,962 epoch 60 - iter 3470/6941 - loss 0.19598176 - time (sec): 723.06 - samples/sec: 2684.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:43:54,998 epoch 60 - iter 4164/6941 - loss 0.19611846 - time (sec): 868.10 - samples/sec: 2684.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:46:20,216 epoch 60 - iter 4858/6941 - loss 0.19612782 - time (sec): 1013.31 - samples/sec: 2681.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:48:43,701 epoch 60 - iter 5552/6941 - loss 0.19632657 - time (sec): 1156.80 - samples/sec: 2684.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:51:05,266 epoch 60 - iter 6246/6941 - loss 0.19630732 - time (sec): 1298.36 - samples/sec: 2687.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:53:31,547 epoch 60 - iter 6940/6941 - loss 0.19624750 - time (sec): 1444.64 - samples/sec: 2685.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:53:31,679 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:53:31,679 EPOCH 60 done: loss 0.1962 - lr: 0.100000
+2024-03-13 23:53:31,680  - 0 epochs without improvement
+2024-03-13 23:53:31,680 ----------------------------------------------------------------------------------------------------
+2024-03-13 23:55:57,429 epoch 61 - iter 694/6941 - loss 0.19384996 - time (sec): 145.75 - samples/sec: 2663.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-13 23:58:21,848 epoch 61 - iter 1388/6941 - loss 0.19447064 - time (sec): 290.17 - samples/sec: 2681.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:00:46,413 epoch 61 - iter 2082/6941 - loss 0.19555496 - time (sec): 434.73 - samples/sec: 2680.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:03:07,127 epoch 61 - iter 2776/6941 - loss 0.19517692 - time (sec): 575.45 - samples/sec: 2698.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:05:28,798 epoch 61 - iter 3470/6941 - loss 0.19551339 - time (sec): 717.12 - samples/sec: 2701.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:07:56,190 epoch 61 - iter 4164/6941 - loss 0.19543978 - time (sec): 864.51 - samples/sec: 2690.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:10:20,299 epoch 61 - iter 4858/6941 - loss 0.19554207 - time (sec): 1008.62 - samples/sec: 2690.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:12:45,276 epoch 61 - iter 5552/6941 - loss 0.19590491 - time (sec): 1153.60 - samples/sec: 2690.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:15:08,662 epoch 61 - iter 6246/6941 - loss 0.19577374 - time (sec): 1296.98 - samples/sec: 2692.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:17:34,349 epoch 61 - iter 6940/6941 - loss 0.19578343 - time (sec): 1442.67 - samples/sec: 2689.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:17:34,476 ----------------------------------------------------------------------------------------------------
+2024-03-14 00:17:34,476 EPOCH 61 done: loss 0.1958 - lr: 0.100000
+2024-03-14 00:17:34,476  - 0 epochs without improvement
+2024-03-14 00:17:34,476 ----------------------------------------------------------------------------------------------------
+2024-03-14 00:19:56,179 epoch 62 - iter 694/6941 - loss 0.19565849 - time (sec): 141.70 - samples/sec: 2728.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:22:19,830 epoch 62 - iter 1388/6941 - loss 0.19471351 - time (sec): 285.35 - samples/sec: 2712.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:24:43,032 epoch 62 - iter 2082/6941 - loss 0.19433907 - time (sec): 428.56 - samples/sec: 2707.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:27:07,201 epoch 62 - iter 2776/6941 - loss 0.19442956 - time (sec): 572.72 - samples/sec: 2702.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:29:28,708 epoch 62 - iter 3470/6941 - loss 0.19480573 - time (sec): 714.23 - samples/sec: 2708.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:31:54,872 epoch 62 - iter 4164/6941 - loss 0.19497488 - time (sec): 860.40 - samples/sec: 2701.94 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:34:20,890 epoch 62 - iter 4858/6941 - loss 0.19495870 - time (sec): 1006.41 - samples/sec: 2695.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:36:47,422 epoch 62 - iter 5552/6941 - loss 0.19504616 - time (sec): 1152.95 - samples/sec: 2691.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:39:11,644 epoch 62 - iter 6246/6941 - loss 0.19540337 - time (sec): 1297.17 - samples/sec: 2690.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:41:38,300 epoch 62 - iter 6940/6941 - loss 0.19564193 - time (sec): 1443.82 - samples/sec: 2687.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:41:38,354 ----------------------------------------------------------------------------------------------------
+2024-03-14 00:41:38,354 EPOCH 62 done: loss 0.1956 - lr: 0.100000
+2024-03-14 00:41:38,354  - 0 epochs without improvement
+2024-03-14 00:41:38,354 ----------------------------------------------------------------------------------------------------
+2024-03-14 00:44:01,792 epoch 63 - iter 694/6941 - loss 0.19687947 - time (sec): 143.44 - samples/sec: 2714.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:46:27,018 epoch 63 - iter 1388/6941 - loss 0.19692129 - time (sec): 288.66 - samples/sec: 2689.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:48:50,522 epoch 63 - iter 2082/6941 - loss 0.19634181 - time (sec): 432.17 - samples/sec: 2699.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:51:09,861 epoch 63 - iter 2776/6941 - loss 0.19610247 - time (sec): 571.51 - samples/sec: 2713.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:53:35,211 epoch 63 - iter 3470/6941 - loss 0.19584758 - time (sec): 716.86 - samples/sec: 2703.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:55:59,393 epoch 63 - iter 4164/6941 - loss 0.19576210 - time (sec): 861.04 - samples/sec: 2701.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 00:58:23,031 epoch 63 - iter 4858/6941 - loss 0.19585802 - time (sec): 1004.68 - samples/sec: 2700.43 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:00:51,331 epoch 63 - iter 5552/6941 - loss 0.19584814 - time (sec): 1152.98 - samples/sec: 2691.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:03:18,023 epoch 63 - iter 6246/6941 - loss 0.19571467 - time (sec): 1299.67 - samples/sec: 2685.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:05:45,180 epoch 63 - iter 6940/6941 - loss 0.19579495 - time (sec): 1446.83 - samples/sec: 2681.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:05:45,302 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:05:45,302 EPOCH 63 done: loss 0.1958 - lr: 0.100000
+2024-03-14 01:05:45,303  - 1 epochs without improvement
+2024-03-14 01:05:45,303 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:08:10,335 epoch 64 - iter 694/6941 - loss 0.19366031 - time (sec): 145.03 - samples/sec: 2693.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:10:31,766 epoch 64 - iter 1388/6941 - loss 0.19524047 - time (sec): 286.46 - samples/sec: 2710.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:12:59,867 epoch 64 - iter 2082/6941 - loss 0.19470783 - time (sec): 434.56 - samples/sec: 2682.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:15:25,666 epoch 64 - iter 2776/6941 - loss 0.19534559 - time (sec): 580.36 - samples/sec: 2679.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:17:51,497 epoch 64 - iter 3470/6941 - loss 0.19519406 - time (sec): 726.19 - samples/sec: 2676.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:20:12,318 epoch 64 - iter 4164/6941 - loss 0.19470036 - time (sec): 867.01 - samples/sec: 2683.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:22:37,745 epoch 64 - iter 4858/6941 - loss 0.19491996 - time (sec): 1012.44 - samples/sec: 2682.65 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:25:01,062 epoch 64 - iter 5552/6941 - loss 0.19495872 - time (sec): 1155.76 - samples/sec: 2684.37 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:27:25,643 epoch 64 - iter 6246/6941 - loss 0.19516939 - time (sec): 1300.34 - samples/sec: 2682.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:29:52,636 epoch 64 - iter 6940/6941 - loss 0.19510180 - time (sec): 1447.33 - samples/sec: 2680.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:29:52,743 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:29:52,743 EPOCH 64 done: loss 0.1951 - lr: 0.100000
+2024-03-14 01:29:52,743  - 0 epochs without improvement
+2024-03-14 01:29:52,743 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:32:17,062 epoch 65 - iter 694/6941 - loss 0.19298636 - time (sec): 144.32 - samples/sec: 2684.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:34:41,340 epoch 65 - iter 1388/6941 - loss 0.19342904 - time (sec): 288.60 - samples/sec: 2687.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:37:03,688 epoch 65 - iter 2082/6941 - loss 0.19365765 - time (sec): 430.94 - samples/sec: 2698.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:39:27,706 epoch 65 - iter 2776/6941 - loss 0.19391131 - time (sec): 574.96 - samples/sec: 2694.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:41:51,588 epoch 65 - iter 3470/6941 - loss 0.19360963 - time (sec): 718.84 - samples/sec: 2692.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:44:13,028 epoch 65 - iter 4164/6941 - loss 0.19356617 - time (sec): 860.28 - samples/sec: 2698.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:46:41,776 epoch 65 - iter 4858/6941 - loss 0.19423429 - time (sec): 1009.03 - samples/sec: 2685.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:49:08,895 epoch 65 - iter 5552/6941 - loss 0.19452030 - time (sec): 1156.15 - samples/sec: 2682.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:51:36,307 epoch 65 - iter 6246/6941 - loss 0.19490086 - time (sec): 1303.56 - samples/sec: 2678.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:54:01,142 epoch 65 - iter 6940/6941 - loss 0.19493662 - time (sec): 1448.40 - samples/sec: 2678.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:54:01,309 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:54:01,309 EPOCH 65 done: loss 0.1949 - lr: 0.100000
+2024-03-14 01:54:01,309  - 0 epochs without improvement
+2024-03-14 01:54:01,309 ----------------------------------------------------------------------------------------------------
+2024-03-14 01:56:25,971 epoch 66 - iter 694/6941 - loss 0.19623478 - time (sec): 144.66 - samples/sec: 2685.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 01:58:52,307 epoch 66 - iter 1388/6941 - loss 0.19436256 - time (sec): 291.00 - samples/sec: 2671.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:01:17,768 epoch 66 - iter 2082/6941 - loss 0.19494425 - time (sec): 436.46 - samples/sec: 2672.22 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:03:40,410 epoch 66 - iter 2776/6941 - loss 0.19482675 - time (sec): 579.10 - samples/sec: 2677.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:06:03,666 epoch 66 - iter 3470/6941 - loss 0.19513728 - time (sec): 722.36 - samples/sec: 2682.62 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:08:26,946 epoch 66 - iter 4164/6941 - loss 0.19537862 - time (sec): 865.64 - samples/sec: 2683.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:10:49,678 epoch 66 - iter 4858/6941 - loss 0.19520965 - time (sec): 1008.37 - samples/sec: 2689.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:13:16,431 epoch 66 - iter 5552/6941 - loss 0.19470734 - time (sec): 1155.12 - samples/sec: 2685.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:15:42,546 epoch 66 - iter 6246/6941 - loss 0.19479322 - time (sec): 1301.24 - samples/sec: 2683.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:18:05,390 epoch 66 - iter 6940/6941 - loss 0.19475643 - time (sec): 1444.08 - samples/sec: 2687.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:18:05,471 ----------------------------------------------------------------------------------------------------
+2024-03-14 02:18:05,471 EPOCH 66 done: loss 0.1948 - lr: 0.100000
+2024-03-14 02:18:05,472  - 0 epochs without improvement
+2024-03-14 02:18:05,472 ----------------------------------------------------------------------------------------------------
+2024-03-14 02:20:28,143 epoch 67 - iter 694/6941 - loss 0.19534488 - time (sec): 142.67 - samples/sec: 2687.20 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:22:52,382 epoch 67 - iter 1388/6941 - loss 0.19453070 - time (sec): 286.91 - samples/sec: 2685.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:25:20,553 epoch 67 - iter 2082/6941 - loss 0.19443919 - time (sec): 435.08 - samples/sec: 2665.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:27:43,478 epoch 67 - iter 2776/6941 - loss 0.19445572 - time (sec): 578.01 - samples/sec: 2679.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:30:07,373 epoch 67 - iter 3470/6941 - loss 0.19463687 - time (sec): 721.90 - samples/sec: 2683.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:32:31,862 epoch 67 - iter 4164/6941 - loss 0.19503969 - time (sec): 866.39 - samples/sec: 2684.78 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:34:55,362 epoch 67 - iter 4858/6941 - loss 0.19501291 - time (sec): 1009.89 - samples/sec: 2688.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:37:21,654 epoch 67 - iter 5552/6941 - loss 0.19461547 - time (sec): 1156.18 - samples/sec: 2685.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:39:46,284 epoch 67 - iter 6246/6941 - loss 0.19456000 - time (sec): 1300.81 - samples/sec: 2685.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:42:11,717 epoch 67 - iter 6940/6941 - loss 0.19460953 - time (sec): 1446.25 - samples/sec: 2683.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:42:11,797 ----------------------------------------------------------------------------------------------------
+2024-03-14 02:42:11,797 EPOCH 67 done: loss 0.1946 - lr: 0.100000
+2024-03-14 02:42:11,798  - 0 epochs without improvement
+2024-03-14 02:42:11,798 ----------------------------------------------------------------------------------------------------
+2024-03-14 02:44:36,079 epoch 68 - iter 694/6941 - loss 0.19427255 - time (sec): 144.28 - samples/sec: 2684.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:46:59,433 epoch 68 - iter 1388/6941 - loss 0.19290827 - time (sec): 287.64 - samples/sec: 2695.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:49:24,729 epoch 68 - iter 2082/6941 - loss 0.19325550 - time (sec): 432.93 - samples/sec: 2689.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:51:51,553 epoch 68 - iter 2776/6941 - loss 0.19359804 - time (sec): 579.76 - samples/sec: 2678.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:54:15,680 epoch 68 - iter 3470/6941 - loss 0.19390613 - time (sec): 723.88 - samples/sec: 2681.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:56:39,699 epoch 68 - iter 4164/6941 - loss 0.19419048 - time (sec): 867.90 - samples/sec: 2684.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 02:59:08,205 epoch 68 - iter 4858/6941 - loss 0.19435524 - time (sec): 1016.41 - samples/sec: 2674.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:01:33,751 epoch 68 - iter 5552/6941 - loss 0.19435157 - time (sec): 1161.95 - samples/sec: 2673.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:03:56,631 epoch 68 - iter 6246/6941 - loss 0.19444828 - time (sec): 1304.83 - samples/sec: 2677.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:06:20,780 epoch 68 - iter 6940/6941 - loss 0.19469002 - time (sec): 1448.98 - samples/sec: 2677.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:06:20,875 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:06:20,875 EPOCH 68 done: loss 0.1947 - lr: 0.100000
+2024-03-14 03:06:20,875  - 1 epochs without improvement
+2024-03-14 03:06:20,875 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:08:44,386 epoch 69 - iter 694/6941 - loss 0.19493667 - time (sec): 143.51 - samples/sec: 2696.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:11:08,780 epoch 69 - iter 1388/6941 - loss 0.19474660 - time (sec): 287.90 - samples/sec: 2683.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:13:36,510 epoch 69 - iter 2082/6941 - loss 0.19491815 - time (sec): 435.63 - samples/sec: 2666.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:15:58,389 epoch 69 - iter 2776/6941 - loss 0.19420187 - time (sec): 577.51 - samples/sec: 2679.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:18:21,574 epoch 69 - iter 3470/6941 - loss 0.19442051 - time (sec): 720.70 - samples/sec: 2685.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:20:45,487 epoch 69 - iter 4164/6941 - loss 0.19442346 - time (sec): 864.61 - samples/sec: 2687.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:23:10,823 epoch 69 - iter 4858/6941 - loss 0.19448926 - time (sec): 1009.95 - samples/sec: 2685.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:25:38,617 epoch 69 - iter 5552/6941 - loss 0.19467102 - time (sec): 1157.74 - samples/sec: 2679.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:28:00,734 epoch 69 - iter 6246/6941 - loss 0.19486018 - time (sec): 1299.86 - samples/sec: 2685.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:30:26,349 epoch 69 - iter 6940/6941 - loss 0.19472068 - time (sec): 1445.47 - samples/sec: 2684.40 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:30:26,484 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:30:26,484 EPOCH 69 done: loss 0.1947 - lr: 0.100000
+2024-03-14 03:30:26,484  - 2 epochs without improvement
+2024-03-14 03:30:26,484 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:32:50,915 epoch 70 - iter 694/6941 - loss 0.19191639 - time (sec): 144.43 - samples/sec: 2698.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:35:15,285 epoch 70 - iter 1388/6941 - loss 0.19365645 - time (sec): 288.80 - samples/sec: 2692.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:37:43,248 epoch 70 - iter 2082/6941 - loss 0.19410329 - time (sec): 436.76 - samples/sec: 2669.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:40:05,574 epoch 70 - iter 2776/6941 - loss 0.19403001 - time (sec): 579.09 - samples/sec: 2679.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:42:29,103 epoch 70 - iter 3470/6941 - loss 0.19347115 - time (sec): 722.62 - samples/sec: 2684.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:44:56,058 epoch 70 - iter 4164/6941 - loss 0.19378390 - time (sec): 869.57 - samples/sec: 2678.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:47:19,682 epoch 70 - iter 4858/6941 - loss 0.19391792 - time (sec): 1013.20 - samples/sec: 2681.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:49:42,418 epoch 70 - iter 5552/6941 - loss 0.19406311 - time (sec): 1155.93 - samples/sec: 2686.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:52:05,868 epoch 70 - iter 6246/6941 - loss 0.19422489 - time (sec): 1299.38 - samples/sec: 2688.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:54:29,690 epoch 70 - iter 6940/6941 - loss 0.19437643 - time (sec): 1443.21 - samples/sec: 2688.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:54:29,852 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:54:29,852 EPOCH 70 done: loss 0.1944 - lr: 0.100000
+2024-03-14 03:54:29,852  - 0 epochs without improvement
+2024-03-14 03:54:29,852 ----------------------------------------------------------------------------------------------------
+2024-03-14 03:56:52,816 epoch 71 - iter 694/6941 - loss 0.19461132 - time (sec): 142.96 - samples/sec: 2702.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 03:59:17,134 epoch 71 - iter 1388/6941 - loss 0.19373115 - time (sec): 287.28 - samples/sec: 2683.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:01:42,675 epoch 71 - iter 2082/6941 - loss 0.19339066 - time (sec): 432.82 - samples/sec: 2678.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:04:07,435 epoch 71 - iter 2776/6941 - loss 0.19265491 - time (sec): 577.58 - samples/sec: 2682.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:06:31,366 epoch 71 - iter 3470/6941 - loss 0.19305873 - time (sec): 721.51 - samples/sec: 2683.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:08:55,896 epoch 71 - iter 4164/6941 - loss 0.19302760 - time (sec): 866.04 - samples/sec: 2683.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:11:22,536 epoch 71 - iter 4858/6941 - loss 0.19343833 - time (sec): 1012.68 - samples/sec: 2679.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:13:48,646 epoch 71 - iter 5552/6941 - loss 0.19378875 - time (sec): 1158.79 - samples/sec: 2677.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:16:12,148 epoch 71 - iter 6246/6941 - loss 0.19402022 - time (sec): 1302.30 - samples/sec: 2681.23 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:18:35,742 epoch 71 - iter 6940/6941 - loss 0.19405033 - time (sec): 1445.89 - samples/sec: 2683.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:18:35,842 ----------------------------------------------------------------------------------------------------
+2024-03-14 04:18:35,842 EPOCH 71 done: loss 0.1941 - lr: 0.100000
+2024-03-14 04:18:35,842  - 0 epochs without improvement
+2024-03-14 04:18:35,842 ----------------------------------------------------------------------------------------------------
+2024-03-14 04:21:02,931 epoch 72 - iter 694/6941 - loss 0.19397350 - time (sec): 147.09 - samples/sec: 2656.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:23:26,532 epoch 72 - iter 1388/6941 - loss 0.19302589 - time (sec): 290.69 - samples/sec: 2682.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:25:48,767 epoch 72 - iter 2082/6941 - loss 0.19460983 - time (sec): 432.93 - samples/sec: 2689.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:28:13,987 epoch 72 - iter 2776/6941 - loss 0.19395047 - time (sec): 578.14 - samples/sec: 2686.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:30:38,824 epoch 72 - iter 3470/6941 - loss 0.19382619 - time (sec): 722.98 - samples/sec: 2685.58 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:33:03,715 epoch 72 - iter 4164/6941 - loss 0.19392890 - time (sec): 867.87 - samples/sec: 2683.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:35:27,602 epoch 72 - iter 4858/6941 - loss 0.19379840 - time (sec): 1011.76 - samples/sec: 2684.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:37:52,386 epoch 72 - iter 5552/6941 - loss 0.19385586 - time (sec): 1156.54 - samples/sec: 2683.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:40:20,093 epoch 72 - iter 6246/6941 - loss 0.19383435 - time (sec): 1304.25 - samples/sec: 2678.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:42:43,540 epoch 72 - iter 6940/6941 - loss 0.19403701 - time (sec): 1447.70 - samples/sec: 2680.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:42:43,659 ----------------------------------------------------------------------------------------------------
+2024-03-14 04:42:43,659 EPOCH 72 done: loss 0.1940 - lr: 0.100000
+2024-03-14 04:42:43,659  - 0 epochs without improvement
+2024-03-14 04:42:43,659 ----------------------------------------------------------------------------------------------------
+2024-03-14 04:45:07,749 epoch 73 - iter 694/6941 - loss 0.19262458 - time (sec): 144.09 - samples/sec: 2696.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:47:29,856 epoch 73 - iter 1388/6941 - loss 0.19293817 - time (sec): 286.20 - samples/sec: 2704.11 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:49:52,622 epoch 73 - iter 2082/6941 - loss 0.19248104 - time (sec): 428.96 - samples/sec: 2707.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:52:20,582 epoch 73 - iter 2776/6941 - loss 0.19237606 - time (sec): 576.92 - samples/sec: 2688.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:54:44,829 epoch 73 - iter 3470/6941 - loss 0.19247360 - time (sec): 721.17 - samples/sec: 2689.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:57:08,874 epoch 73 - iter 4164/6941 - loss 0.19287788 - time (sec): 865.22 - samples/sec: 2690.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 04:59:32,624 epoch 73 - iter 4858/6941 - loss 0.19317933 - time (sec): 1008.97 - samples/sec: 2691.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:01:58,666 epoch 73 - iter 5552/6941 - loss 0.19357146 - time (sec): 1155.01 - samples/sec: 2687.81 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:04:25,276 epoch 73 - iter 6246/6941 - loss 0.19353631 - time (sec): 1301.62 - samples/sec: 2683.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:06:48,854 epoch 73 - iter 6940/6941 - loss 0.19354686 - time (sec): 1445.19 - samples/sec: 2684.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:06:48,908 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:06:48,908 EPOCH 73 done: loss 0.1935 - lr: 0.100000
+2024-03-14 05:06:48,908  - 0 epochs without improvement
+2024-03-14 05:06:48,909 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:09:13,966 epoch 74 - iter 694/6941 - loss 0.19359607 - time (sec): 145.06 - samples/sec: 2684.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:11:39,722 epoch 74 - iter 1388/6941 - loss 0.19351169 - time (sec): 290.81 - samples/sec: 2677.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:14:02,155 epoch 74 - iter 2082/6941 - loss 0.19264790 - time (sec): 433.25 - samples/sec: 2696.35 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:16:24,232 epoch 74 - iter 2776/6941 - loss 0.19304813 - time (sec): 575.32 - samples/sec: 2703.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:18:50,322 epoch 74 - iter 3470/6941 - loss 0.19346745 - time (sec): 721.41 - samples/sec: 2689.93 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:21:16,039 epoch 74 - iter 4164/6941 - loss 0.19343359 - time (sec): 867.13 - samples/sec: 2684.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:23:43,721 epoch 74 - iter 4858/6941 - loss 0.19367959 - time (sec): 1014.81 - samples/sec: 2678.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:26:07,362 epoch 74 - iter 5552/6941 - loss 0.19359046 - time (sec): 1158.45 - samples/sec: 2682.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:28:29,524 epoch 74 - iter 6246/6941 - loss 0.19372048 - time (sec): 1300.61 - samples/sec: 2685.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:30:52,952 epoch 74 - iter 6940/6941 - loss 0.19375272 - time (sec): 1444.04 - samples/sec: 2687.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:30:53,035 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:30:53,035 EPOCH 74 done: loss 0.1938 - lr: 0.100000
+2024-03-14 05:30:53,035  - 1 epochs without improvement
+2024-03-14 05:30:53,035 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:33:20,811 epoch 75 - iter 694/6941 - loss 0.19103159 - time (sec): 147.78 - samples/sec: 2630.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:35:46,289 epoch 75 - iter 1388/6941 - loss 0.19240548 - time (sec): 293.25 - samples/sec: 2644.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:38:12,345 epoch 75 - iter 2082/6941 - loss 0.19294477 - time (sec): 439.31 - samples/sec: 2649.35 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:40:35,771 epoch 75 - iter 2776/6941 - loss 0.19284860 - time (sec): 582.74 - samples/sec: 2663.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:42:57,885 epoch 75 - iter 3470/6941 - loss 0.19338058 - time (sec): 724.85 - samples/sec: 2676.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:45:17,727 epoch 75 - iter 4164/6941 - loss 0.19323068 - time (sec): 864.69 - samples/sec: 2692.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:47:42,463 epoch 75 - iter 4858/6941 - loss 0.19346575 - time (sec): 1009.43 - samples/sec: 2691.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:50:06,951 epoch 75 - iter 5552/6941 - loss 0.19365865 - time (sec): 1153.92 - samples/sec: 2689.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:52:31,048 epoch 75 - iter 6246/6941 - loss 0.19355756 - time (sec): 1298.01 - samples/sec: 2689.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:54:57,582 epoch 75 - iter 6940/6941 - loss 0.19390378 - time (sec): 1444.55 - samples/sec: 2686.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:54:57,685 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:54:57,685 EPOCH 75 done: loss 0.1939 - lr: 0.100000
+2024-03-14 05:54:57,686  - 2 epochs without improvement
+2024-03-14 05:54:57,686 ----------------------------------------------------------------------------------------------------
+2024-03-14 05:57:21,368 epoch 76 - iter 694/6941 - loss 0.19196540 - time (sec): 143.68 - samples/sec: 2688.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 05:59:46,073 epoch 76 - iter 1388/6941 - loss 0.19226258 - time (sec): 288.39 - samples/sec: 2687.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:02:11,264 epoch 76 - iter 2082/6941 - loss 0.19043903 - time (sec): 433.58 - samples/sec: 2686.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:04:36,217 epoch 76 - iter 2776/6941 - loss 0.19144191 - time (sec): 578.53 - samples/sec: 2685.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:06:59,857 epoch 76 - iter 3470/6941 - loss 0.19204383 - time (sec): 722.17 - samples/sec: 2690.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:09:23,913 epoch 76 - iter 4164/6941 - loss 0.19243310 - time (sec): 866.23 - samples/sec: 2687.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:11:48,961 epoch 76 - iter 4858/6941 - loss 0.19245317 - time (sec): 1011.28 - samples/sec: 2685.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:14:15,245 epoch 76 - iter 5552/6941 - loss 0.19238666 - time (sec): 1157.56 - samples/sec: 2682.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:16:39,531 epoch 76 - iter 6246/6941 - loss 0.19292342 - time (sec): 1301.85 - samples/sec: 2681.23 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:19:06,341 epoch 76 - iter 6940/6941 - loss 0.19299754 - time (sec): 1448.66 - samples/sec: 2678.47 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:19:06,614 ----------------------------------------------------------------------------------------------------
+2024-03-14 06:19:06,614 EPOCH 76 done: loss 0.1930 - lr: 0.100000
+2024-03-14 06:19:06,614  - 0 epochs without improvement
+2024-03-14 06:19:06,614 ----------------------------------------------------------------------------------------------------
+2024-03-14 06:21:31,110 epoch 77 - iter 694/6941 - loss 0.19157713 - time (sec): 144.50 - samples/sec: 2703.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:23:54,451 epoch 77 - iter 1388/6941 - loss 0.19353104 - time (sec): 287.84 - samples/sec: 2704.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:26:17,381 epoch 77 - iter 2082/6941 - loss 0.19298590 - time (sec): 430.77 - samples/sec: 2702.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:28:45,246 epoch 77 - iter 2776/6941 - loss 0.19326075 - time (sec): 578.63 - samples/sec: 2682.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:31:09,006 epoch 77 - iter 3470/6941 - loss 0.19294466 - time (sec): 722.39 - samples/sec: 2687.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:33:34,698 epoch 77 - iter 4164/6941 - loss 0.19313882 - time (sec): 868.08 - samples/sec: 2685.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:35:59,358 epoch 77 - iter 4858/6941 - loss 0.19290717 - time (sec): 1012.74 - samples/sec: 2686.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:38:23,179 epoch 77 - iter 5552/6941 - loss 0.19271478 - time (sec): 1156.56 - samples/sec: 2684.95 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:40:46,351 epoch 77 - iter 6246/6941 - loss 0.19273314 - time (sec): 1299.74 - samples/sec: 2686.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:43:09,845 epoch 77 - iter 6940/6941 - loss 0.19297690 - time (sec): 1443.23 - samples/sec: 2688.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:43:09,952 ----------------------------------------------------------------------------------------------------
+2024-03-14 06:43:09,952 EPOCH 77 done: loss 0.1930 - lr: 0.100000
+2024-03-14 06:43:09,952  - 0 epochs without improvement
+2024-03-14 06:43:09,952 ----------------------------------------------------------------------------------------------------
+2024-03-14 06:45:34,035 epoch 78 - iter 694/6941 - loss 0.19214863 - time (sec): 144.08 - samples/sec: 2691.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:47:58,811 epoch 78 - iter 1388/6941 - loss 0.19235570 - time (sec): 288.86 - samples/sec: 2691.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:50:23,659 epoch 78 - iter 2082/6941 - loss 0.19254241 - time (sec): 433.71 - samples/sec: 2688.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:52:49,270 epoch 78 - iter 2776/6941 - loss 0.19253471 - time (sec): 579.32 - samples/sec: 2681.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:55:13,829 epoch 78 - iter 3470/6941 - loss 0.19318485 - time (sec): 723.88 - samples/sec: 2680.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:57:36,134 epoch 78 - iter 4164/6941 - loss 0.19280142 - time (sec): 866.18 - samples/sec: 2688.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 06:59:59,760 epoch 78 - iter 4858/6941 - loss 0.19308112 - time (sec): 1009.81 - samples/sec: 2689.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:02:26,068 epoch 78 - iter 5552/6941 - loss 0.19294085 - time (sec): 1156.12 - samples/sec: 2685.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:04:50,267 epoch 78 - iter 6246/6941 - loss 0.19289463 - time (sec): 1300.31 - samples/sec: 2686.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:07:16,916 epoch 78 - iter 6940/6941 - loss 0.19305274 - time (sec): 1446.96 - samples/sec: 2681.66 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:07:16,997 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:07:16,997 EPOCH 78 done: loss 0.1931 - lr: 0.100000
+2024-03-14 07:07:16,997  - 1 epochs without improvement
+2024-03-14 07:07:16,997 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:09:42,151 epoch 79 - iter 694/6941 - loss 0.19186962 - time (sec): 145.15 - samples/sec: 2695.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:12:04,321 epoch 79 - iter 1388/6941 - loss 0.19289341 - time (sec): 287.32 - samples/sec: 2706.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:14:28,024 epoch 79 - iter 2082/6941 - loss 0.19315035 - time (sec): 431.03 - samples/sec: 2702.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:16:53,113 epoch 79 - iter 2776/6941 - loss 0.19315135 - time (sec): 576.12 - samples/sec: 2698.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:19:17,154 epoch 79 - iter 3470/6941 - loss 0.19299075 - time (sec): 720.16 - samples/sec: 2694.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:21:40,594 epoch 79 - iter 4164/6941 - loss 0.19331700 - time (sec): 863.60 - samples/sec: 2694.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:24:06,040 epoch 79 - iter 4858/6941 - loss 0.19313840 - time (sec): 1009.04 - samples/sec: 2689.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:26:31,878 epoch 79 - iter 5552/6941 - loss 0.19332216 - time (sec): 1154.88 - samples/sec: 2685.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:28:58,281 epoch 79 - iter 6246/6941 - loss 0.19311313 - time (sec): 1301.28 - samples/sec: 2683.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:31:22,606 epoch 79 - iter 6940/6941 - loss 0.19304263 - time (sec): 1445.61 - samples/sec: 2684.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:31:22,693 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:31:22,693 EPOCH 79 done: loss 0.1930 - lr: 0.100000
+2024-03-14 07:31:22,693  - 2 epochs without improvement
+2024-03-14 07:31:22,693 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:33:47,727 epoch 80 - iter 694/6941 - loss 0.19355396 - time (sec): 145.03 - samples/sec: 2671.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:36:12,804 epoch 80 - iter 1388/6941 - loss 0.19336891 - time (sec): 290.11 - samples/sec: 2672.87 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:38:37,426 epoch 80 - iter 2082/6941 - loss 0.19289569 - time (sec): 434.73 - samples/sec: 2673.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:41:01,476 epoch 80 - iter 2776/6941 - loss 0.19282434 - time (sec): 578.78 - samples/sec: 2678.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:43:23,712 epoch 80 - iter 3470/6941 - loss 0.19272262 - time (sec): 721.02 - samples/sec: 2689.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:45:46,027 epoch 80 - iter 4164/6941 - loss 0.19287440 - time (sec): 863.33 - samples/sec: 2694.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:48:10,574 epoch 80 - iter 4858/6941 - loss 0.19279169 - time (sec): 1007.88 - samples/sec: 2695.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:50:35,018 epoch 80 - iter 5552/6941 - loss 0.19271580 - time (sec): 1152.32 - samples/sec: 2692.14 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:53:00,945 epoch 80 - iter 6246/6941 - loss 0.19264469 - time (sec): 1298.25 - samples/sec: 2688.03 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:55:27,329 epoch 80 - iter 6940/6941 - loss 0.19261955 - time (sec): 1444.64 - samples/sec: 2685.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 07:55:27,446 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:55:27,446 EPOCH 80 done: loss 0.1926 - lr: 0.100000
+2024-03-14 07:55:27,446  - 0 epochs without improvement
+2024-03-14 07:55:27,447 ----------------------------------------------------------------------------------------------------
+2024-03-14 07:57:53,395 epoch 81 - iter 694/6941 - loss 0.19162785 - time (sec): 145.95 - samples/sec: 2692.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:00:19,828 epoch 81 - iter 1388/6941 - loss 0.19287184 - time (sec): 292.38 - samples/sec: 2676.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:02:42,782 epoch 81 - iter 2082/6941 - loss 0.19219844 - time (sec): 435.33 - samples/sec: 2686.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:05:06,112 epoch 81 - iter 2776/6941 - loss 0.19258375 - time (sec): 578.67 - samples/sec: 2688.45 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:07:29,345 epoch 81 - iter 3470/6941 - loss 0.19283844 - time (sec): 721.90 - samples/sec: 2692.72 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:09:53,869 epoch 81 - iter 4164/6941 - loss 0.19294420 - time (sec): 866.42 - samples/sec: 2690.86 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:12:19,116 epoch 81 - iter 4858/6941 - loss 0.19315570 - time (sec): 1011.67 - samples/sec: 2687.27 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:14:43,775 epoch 81 - iter 5552/6941 - loss 0.19306450 - time (sec): 1156.33 - samples/sec: 2687.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:17:07,878 epoch 81 - iter 6246/6941 - loss 0.19292116 - time (sec): 1300.43 - samples/sec: 2687.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:19:29,631 epoch 81 - iter 6940/6941 - loss 0.19285427 - time (sec): 1442.18 - samples/sec: 2690.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:19:29,754 ----------------------------------------------------------------------------------------------------
+2024-03-14 08:19:29,754 EPOCH 81 done: loss 0.1929 - lr: 0.100000
+2024-03-14 08:19:29,754  - 1 epochs without improvement
+2024-03-14 08:19:29,754 ----------------------------------------------------------------------------------------------------
+2024-03-14 08:21:51,126 epoch 82 - iter 694/6941 - loss 0.19193017 - time (sec): 141.37 - samples/sec: 2710.98 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:24:13,670 epoch 82 - iter 1388/6941 - loss 0.19239769 - time (sec): 283.92 - samples/sec: 2708.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:26:38,273 epoch 82 - iter 2082/6941 - loss 0.19181169 - time (sec): 428.52 - samples/sec: 2697.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:29:05,851 epoch 82 - iter 2776/6941 - loss 0.19175654 - time (sec): 576.10 - samples/sec: 2684.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:31:28,502 epoch 82 - iter 3470/6941 - loss 0.19180712 - time (sec): 718.75 - samples/sec: 2686.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:33:51,506 epoch 82 - iter 4164/6941 - loss 0.19174132 - time (sec): 861.75 - samples/sec: 2693.46 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:36:18,225 epoch 82 - iter 4858/6941 - loss 0.19196175 - time (sec): 1008.47 - samples/sec: 2687.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:38:43,493 epoch 82 - iter 5552/6941 - loss 0.19204097 - time (sec): 1153.74 - samples/sec: 2687.13 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:41:09,436 epoch 82 - iter 6246/6941 - loss 0.19199930 - time (sec): 1299.68 - samples/sec: 2687.26 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:43:34,428 epoch 82 - iter 6940/6941 - loss 0.19213201 - time (sec): 1444.67 - samples/sec: 2685.89 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:43:34,610 ----------------------------------------------------------------------------------------------------
+2024-03-14 08:43:34,610 EPOCH 82 done: loss 0.1921 - lr: 0.100000
+2024-03-14 08:43:34,610  - 0 epochs without improvement
+2024-03-14 08:43:34,610 ----------------------------------------------------------------------------------------------------
+2024-03-14 08:45:58,248 epoch 83 - iter 694/6941 - loss 0.19192891 - time (sec): 143.64 - samples/sec: 2692.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:48:23,347 epoch 83 - iter 1388/6941 - loss 0.19103129 - time (sec): 288.74 - samples/sec: 2683.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:50:47,501 epoch 83 - iter 2082/6941 - loss 0.19068333 - time (sec): 432.89 - samples/sec: 2691.92 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:53:10,575 epoch 83 - iter 2776/6941 - loss 0.19194637 - time (sec): 575.97 - samples/sec: 2695.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:55:36,640 epoch 83 - iter 3470/6941 - loss 0.19200342 - time (sec): 722.03 - samples/sec: 2690.51 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 08:57:59,995 epoch 83 - iter 4164/6941 - loss 0.19217467 - time (sec): 865.39 - samples/sec: 2690.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:00:25,403 epoch 83 - iter 4858/6941 - loss 0.19200470 - time (sec): 1010.79 - samples/sec: 2687.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:02:51,380 epoch 83 - iter 5552/6941 - loss 0.19215267 - time (sec): 1156.77 - samples/sec: 2684.04 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:05:17,494 epoch 83 - iter 6246/6941 - loss 0.19229851 - time (sec): 1302.88 - samples/sec: 2681.82 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:07:40,702 epoch 83 - iter 6940/6941 - loss 0.19250138 - time (sec): 1446.09 - samples/sec: 2683.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:07:40,757 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:07:40,757 EPOCH 83 done: loss 0.1925 - lr: 0.100000
+2024-03-14 09:07:40,757  - 1 epochs without improvement
+2024-03-14 09:07:40,757 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:10:05,372 epoch 84 - iter 694/6941 - loss 0.19379515 - time (sec): 144.62 - samples/sec: 2679.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:12:30,310 epoch 84 - iter 1388/6941 - loss 0.19303495 - time (sec): 289.55 - samples/sec: 2681.76 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:14:55,923 epoch 84 - iter 2082/6941 - loss 0.19288086 - time (sec): 435.17 - samples/sec: 2677.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:17:19,742 epoch 84 - iter 2776/6941 - loss 0.19261498 - time (sec): 578.99 - samples/sec: 2678.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:19:43,963 epoch 84 - iter 3470/6941 - loss 0.19261124 - time (sec): 723.21 - samples/sec: 2680.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:22:08,496 epoch 84 - iter 4164/6941 - loss 0.19225443 - time (sec): 867.74 - samples/sec: 2679.69 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:24:30,624 epoch 84 - iter 4858/6941 - loss 0.19269854 - time (sec): 1009.87 - samples/sec: 2688.17 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:26:54,367 epoch 84 - iter 5552/6941 - loss 0.19284889 - time (sec): 1153.61 - samples/sec: 2689.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:29:19,460 epoch 84 - iter 6246/6941 - loss 0.19291678 - time (sec): 1298.70 - samples/sec: 2688.52 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:31:42,204 epoch 84 - iter 6940/6941 - loss 0.19280948 - time (sec): 1441.45 - samples/sec: 2691.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:31:42,360 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:31:42,360 EPOCH 84 done: loss 0.1928 - lr: 0.100000
+2024-03-14 09:31:42,360  - 2 epochs without improvement
+2024-03-14 09:31:42,361 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:34:08,092 epoch 85 - iter 694/6941 - loss 0.19185802 - time (sec): 145.73 - samples/sec: 2679.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:36:34,775 epoch 85 - iter 1388/6941 - loss 0.19135337 - time (sec): 292.41 - samples/sec: 2667.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:38:59,521 epoch 85 - iter 2082/6941 - loss 0.19194014 - time (sec): 437.16 - samples/sec: 2666.01 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:41:22,299 epoch 85 - iter 2776/6941 - loss 0.19205877 - time (sec): 579.94 - samples/sec: 2677.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:43:47,031 epoch 85 - iter 3470/6941 - loss 0.19212129 - time (sec): 724.67 - samples/sec: 2675.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:46:13,411 epoch 85 - iter 4164/6941 - loss 0.19232096 - time (sec): 871.05 - samples/sec: 2671.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:48:35,282 epoch 85 - iter 4858/6941 - loss 0.19264189 - time (sec): 1012.92 - samples/sec: 2679.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:51:00,378 epoch 85 - iter 5552/6941 - loss 0.19220028 - time (sec): 1158.02 - samples/sec: 2679.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:53:24,022 epoch 85 - iter 6246/6941 - loss 0.19248166 - time (sec): 1301.66 - samples/sec: 2681.53 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:55:48,688 epoch 85 - iter 6940/6941 - loss 0.19247360 - time (sec): 1446.33 - samples/sec: 2682.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 09:55:48,766 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:55:48,766 EPOCH 85 done: loss 0.1925 - lr: 0.100000
+2024-03-14 09:55:48,767  - 3 epochs without improvement
+2024-03-14 09:55:48,767 ----------------------------------------------------------------------------------------------------
+2024-03-14 09:58:12,808 epoch 86 - iter 694/6941 - loss 0.19326817 - time (sec): 144.04 - samples/sec: 2684.40 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:00:38,345 epoch 86 - iter 1388/6941 - loss 0.19177655 - time (sec): 289.58 - samples/sec: 2675.32 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:03:04,488 epoch 86 - iter 2082/6941 - loss 0.19095160 - time (sec): 435.72 - samples/sec: 2670.36 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:05:28,014 epoch 86 - iter 2776/6941 - loss 0.19171997 - time (sec): 579.25 - samples/sec: 2675.99 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:07:51,230 epoch 86 - iter 3470/6941 - loss 0.19136384 - time (sec): 722.46 - samples/sec: 2681.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:10:17,494 epoch 86 - iter 4164/6941 - loss 0.19175883 - time (sec): 868.73 - samples/sec: 2674.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:12:43,684 epoch 86 - iter 4858/6941 - loss 0.19196097 - time (sec): 1014.92 - samples/sec: 2672.15 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:15:06,752 epoch 86 - iter 5552/6941 - loss 0.19187149 - time (sec): 1157.99 - samples/sec: 2677.80 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:17:31,268 epoch 86 - iter 6246/6941 - loss 0.19203801 - time (sec): 1302.50 - samples/sec: 2681.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:19:54,184 epoch 86 - iter 6940/6941 - loss 0.19203412 - time (sec): 1445.42 - samples/sec: 2684.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:19:54,281 ----------------------------------------------------------------------------------------------------
+2024-03-14 10:19:54,281 EPOCH 86 done: loss 0.1920 - lr: 0.100000
+2024-03-14 10:19:54,281  - 0 epochs without improvement
+2024-03-14 10:19:54,281 ----------------------------------------------------------------------------------------------------
+2024-03-14 10:22:16,768 epoch 87 - iter 694/6941 - loss 0.19203623 - time (sec): 142.49 - samples/sec: 2709.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:24:40,134 epoch 87 - iter 1388/6941 - loss 0.19092300 - time (sec): 285.85 - samples/sec: 2706.97 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:27:02,855 epoch 87 - iter 2082/6941 - loss 0.19125790 - time (sec): 428.57 - samples/sec: 2706.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:29:27,966 epoch 87 - iter 2776/6941 - loss 0.19160282 - time (sec): 573.68 - samples/sec: 2701.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:31:53,125 epoch 87 - iter 3470/6941 - loss 0.19170737 - time (sec): 718.84 - samples/sec: 2698.18 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:34:18,196 epoch 87 - iter 4164/6941 - loss 0.19188743 - time (sec): 863.91 - samples/sec: 2695.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:36:44,544 epoch 87 - iter 4858/6941 - loss 0.19223904 - time (sec): 1010.26 - samples/sec: 2690.91 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:39:08,070 epoch 87 - iter 5552/6941 - loss 0.19239501 - time (sec): 1153.79 - samples/sec: 2688.88 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:41:31,099 epoch 87 - iter 6246/6941 - loss 0.19242164 - time (sec): 1296.82 - samples/sec: 2691.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:43:57,995 epoch 87 - iter 6940/6941 - loss 0.19221358 - time (sec): 1443.71 - samples/sec: 2687.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:43:58,080 ----------------------------------------------------------------------------------------------------
+2024-03-14 10:43:58,080 EPOCH 87 done: loss 0.1922 - lr: 0.100000
+2024-03-14 10:43:58,080  - 1 epochs without improvement
+2024-03-14 10:43:58,080 ----------------------------------------------------------------------------------------------------
+2024-03-14 10:46:20,810 epoch 88 - iter 694/6941 - loss 0.19243301 - time (sec): 142.73 - samples/sec: 2711.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:48:45,117 epoch 88 - iter 1388/6941 - loss 0.19245205 - time (sec): 287.04 - samples/sec: 2700.08 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:51:11,370 epoch 88 - iter 2082/6941 - loss 0.19207243 - time (sec): 433.29 - samples/sec: 2690.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:53:34,998 epoch 88 - iter 2776/6941 - loss 0.19221898 - time (sec): 576.92 - samples/sec: 2693.00 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:55:59,446 epoch 88 - iter 3470/6941 - loss 0.19235033 - time (sec): 721.37 - samples/sec: 2692.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 10:58:24,033 epoch 88 - iter 4164/6941 - loss 0.19205249 - time (sec): 865.95 - samples/sec: 2689.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:00:45,082 epoch 88 - iter 4858/6941 - loss 0.19212451 - time (sec): 1007.00 - samples/sec: 2697.79 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:03:09,815 epoch 88 - iter 5552/6941 - loss 0.19227776 - time (sec): 1151.73 - samples/sec: 2695.83 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:05:36,255 epoch 88 - iter 6246/6941 - loss 0.19218244 - time (sec): 1298.17 - samples/sec: 2690.16 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:08:01,506 epoch 88 - iter 6940/6941 - loss 0.19196519 - time (sec): 1443.43 - samples/sec: 2688.25 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:08:01,559 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:08:01,559 EPOCH 88 done: loss 0.1920 - lr: 0.100000
+2024-03-14 11:08:01,559  - 0 epochs without improvement
+2024-03-14 11:08:01,560 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:10:23,941 epoch 89 - iter 694/6941 - loss 0.19183056 - time (sec): 142.38 - samples/sec: 2705.49 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:12:51,870 epoch 89 - iter 1388/6941 - loss 0.19147074 - time (sec): 290.31 - samples/sec: 2661.35 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:15:14,220 epoch 89 - iter 2082/6941 - loss 0.19218098 - time (sec): 432.66 - samples/sec: 2678.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:17:39,416 epoch 89 - iter 2776/6941 - loss 0.19147178 - time (sec): 577.86 - samples/sec: 2674.54 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:20:04,512 epoch 89 - iter 3470/6941 - loss 0.19161130 - time (sec): 722.95 - samples/sec: 2673.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:22:30,268 epoch 89 - iter 4164/6941 - loss 0.19177542 - time (sec): 868.71 - samples/sec: 2673.44 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:24:56,186 epoch 89 - iter 4858/6941 - loss 0.19203700 - time (sec): 1014.63 - samples/sec: 2673.41 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:27:20,801 epoch 89 - iter 5552/6941 - loss 0.19169466 - time (sec): 1159.24 - samples/sec: 2675.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:29:46,294 epoch 89 - iter 6246/6941 - loss 0.19160162 - time (sec): 1304.73 - samples/sec: 2676.71 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:32:09,311 epoch 89 - iter 6940/6941 - loss 0.19155959 - time (sec): 1447.75 - samples/sec: 2680.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:32:09,419 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:32:09,419 EPOCH 89 done: loss 0.1916 - lr: 0.100000
+2024-03-14 11:32:09,419  - 0 epochs without improvement
+2024-03-14 11:32:09,419 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:34:33,749 epoch 90 - iter 694/6941 - loss 0.19266422 - time (sec): 144.33 - samples/sec: 2700.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:37:02,316 epoch 90 - iter 1388/6941 - loss 0.19181833 - time (sec): 292.90 - samples/sec: 2658.75 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:39:24,298 epoch 90 - iter 2082/6941 - loss 0.19158854 - time (sec): 434.88 - samples/sec: 2681.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:41:50,238 epoch 90 - iter 2776/6941 - loss 0.19089184 - time (sec): 580.82 - samples/sec: 2677.63 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:44:13,747 epoch 90 - iter 3470/6941 - loss 0.19135323 - time (sec): 724.33 - samples/sec: 2685.55 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:46:38,677 epoch 90 - iter 4164/6941 - loss 0.19130155 - time (sec): 869.26 - samples/sec: 2685.33 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:49:03,554 epoch 90 - iter 4858/6941 - loss 0.19133685 - time (sec): 1014.13 - samples/sec: 2682.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:51:28,192 epoch 90 - iter 5552/6941 - loss 0.19144847 - time (sec): 1158.77 - samples/sec: 2682.96 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:53:52,819 epoch 90 - iter 6246/6941 - loss 0.19146706 - time (sec): 1303.40 - samples/sec: 2681.38 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:56:13,788 epoch 90 - iter 6940/6941 - loss 0.19148065 - time (sec): 1444.37 - samples/sec: 2686.46 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 11:56:13,894 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:56:13,894 EPOCH 90 done: loss 0.1915 - lr: 0.100000
+2024-03-14 11:56:13,894  - 0 epochs without improvement
+2024-03-14 11:56:13,894 ----------------------------------------------------------------------------------------------------
+2024-03-14 11:58:35,960 epoch 91 - iter 694/6941 - loss 0.18960919 - time (sec): 142.07 - samples/sec: 2714.30 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:00:59,066 epoch 91 - iter 1388/6941 - loss 0.19133429 - time (sec): 285.17 - samples/sec: 2715.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:03:24,690 epoch 91 - iter 2082/6941 - loss 0.19103003 - time (sec): 430.80 - samples/sec: 2699.10 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:05:48,407 epoch 91 - iter 2776/6941 - loss 0.19106305 - time (sec): 574.51 - samples/sec: 2701.67 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:08:14,266 epoch 91 - iter 3470/6941 - loss 0.19093601 - time (sec): 720.37 - samples/sec: 2693.12 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:10:37,493 epoch 91 - iter 4164/6941 - loss 0.19089153 - time (sec): 863.60 - samples/sec: 2696.64 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:13:02,902 epoch 91 - iter 4858/6941 - loss 0.19095260 - time (sec): 1009.01 - samples/sec: 2694.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:15:29,074 epoch 91 - iter 5552/6941 - loss 0.19141979 - time (sec): 1155.18 - samples/sec: 2690.24 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:17:52,800 epoch 91 - iter 6246/6941 - loss 0.19148923 - time (sec): 1298.91 - samples/sec: 2686.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:20:17,590 epoch 91 - iter 6940/6941 - loss 0.19162371 - time (sec): 1443.70 - samples/sec: 2687.73 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:20:17,721 ----------------------------------------------------------------------------------------------------
+2024-03-14 12:20:17,721 EPOCH 91 done: loss 0.1916 - lr: 0.100000
+2024-03-14 12:20:17,722  - 1 epochs without improvement
+2024-03-14 12:20:17,722 ----------------------------------------------------------------------------------------------------
+2024-03-14 12:22:41,212 epoch 92 - iter 694/6941 - loss 0.19021160 - time (sec): 143.49 - samples/sec: 2688.85 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:25:06,107 epoch 92 - iter 1388/6941 - loss 0.19051020 - time (sec): 288.39 - samples/sec: 2689.61 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:27:34,182 epoch 92 - iter 2082/6941 - loss 0.19144846 - time (sec): 436.46 - samples/sec: 2671.28 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:29:55,204 epoch 92 - iter 2776/6941 - loss 0.19181738 - time (sec): 577.48 - samples/sec: 2683.57 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:32:21,026 epoch 92 - iter 3470/6941 - loss 0.19141267 - time (sec): 723.30 - samples/sec: 2680.29 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:34:44,559 epoch 92 - iter 4164/6941 - loss 0.19127949 - time (sec): 866.84 - samples/sec: 2686.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:37:06,536 epoch 92 - iter 4858/6941 - loss 0.19132686 - time (sec): 1008.81 - samples/sec: 2690.09 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:39:31,978 epoch 92 - iter 5552/6941 - loss 0.19164547 - time (sec): 1154.26 - samples/sec: 2687.07 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:41:59,859 epoch 92 - iter 6246/6941 - loss 0.19151063 - time (sec): 1302.14 - samples/sec: 2681.77 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:44:24,090 epoch 92 - iter 6940/6941 - loss 0.19162853 - time (sec): 1446.37 - samples/sec: 2682.74 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:44:24,190 ----------------------------------------------------------------------------------------------------
+2024-03-14 12:44:24,191 EPOCH 92 done: loss 0.1916 - lr: 0.100000
+2024-03-14 12:44:24,191  - 2 epochs without improvement
+2024-03-14 12:44:24,191 ----------------------------------------------------------------------------------------------------
+2024-03-14 12:46:45,355 epoch 93 - iter 694/6941 - loss 0.19278328 - time (sec): 141.16 - samples/sec: 2723.50 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:49:12,821 epoch 93 - iter 1388/6941 - loss 0.19076509 - time (sec): 288.63 - samples/sec: 2676.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:51:34,789 epoch 93 - iter 2082/6941 - loss 0.19182907 - time (sec): 430.60 - samples/sec: 2689.05 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:54:00,641 epoch 93 - iter 2776/6941 - loss 0.19108041 - time (sec): 576.45 - samples/sec: 2687.34 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:56:26,243 epoch 93 - iter 3470/6941 - loss 0.19104853 - time (sec): 722.05 - samples/sec: 2682.70 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 12:58:49,612 epoch 93 - iter 4164/6941 - loss 0.19106506 - time (sec): 865.42 - samples/sec: 2685.48 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:01:12,075 epoch 93 - iter 4858/6941 - loss 0.19110222 - time (sec): 1007.88 - samples/sec: 2689.39 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:03:38,315 epoch 93 - iter 5552/6941 - loss 0.19131686 - time (sec): 1154.12 - samples/sec: 2687.68 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:06:04,322 epoch 93 - iter 6246/6941 - loss 0.19163408 - time (sec): 1300.13 - samples/sec: 2683.90 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:08:31,208 epoch 93 - iter 6940/6941 - loss 0.19169187 - time (sec): 1447.02 - samples/sec: 2681.56 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:08:31,333 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:08:31,333 EPOCH 93 done: loss 0.1917 - lr: 0.100000
+2024-03-14 13:08:31,333  - 3 epochs without improvement
+2024-03-14 13:08:31,333 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:10:57,575 epoch 94 - iter 694/6941 - loss 0.18972548 - time (sec): 146.24 - samples/sec: 2668.84 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:13:20,606 epoch 94 - iter 1388/6941 - loss 0.19082188 - time (sec): 289.27 - samples/sec: 2680.42 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:15:43,612 epoch 94 - iter 2082/6941 - loss 0.19068557 - time (sec): 432.28 - samples/sec: 2685.59 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:18:09,317 epoch 94 - iter 2776/6941 - loss 0.19061643 - time (sec): 577.98 - samples/sec: 2678.06 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:20:31,023 epoch 94 - iter 3470/6941 - loss 0.19070141 - time (sec): 719.69 - samples/sec: 2690.19 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:22:55,779 epoch 94 - iter 4164/6941 - loss 0.19102400 - time (sec): 864.45 - samples/sec: 2689.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:25:19,510 epoch 94 - iter 4858/6941 - loss 0.19137432 - time (sec): 1008.18 - samples/sec: 2691.02 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:27:41,349 epoch 94 - iter 5552/6941 - loss 0.19173133 - time (sec): 1150.02 - samples/sec: 2696.47 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:30:07,705 epoch 94 - iter 6246/6941 - loss 0.19185636 - time (sec): 1296.37 - samples/sec: 2692.31 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:32:34,771 epoch 94 - iter 6940/6941 - loss 0.19182516 - time (sec): 1443.44 - samples/sec: 2688.21 - lr: 0.100000 - momentum: 0.000000
+2024-03-14 13:32:34,886 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:32:34,886 EPOCH 94 done: loss 0.1918 - lr: 0.100000
+2024-03-14 13:32:34,886  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.05]
+2024-03-14 13:32:34,886 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:34:59,586 epoch 95 - iter 694/6941 - loss 0.18256094 - time (sec): 144.70 - samples/sec: 2676.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:37:23,482 epoch 95 - iter 1388/6941 - loss 0.18267216 - time (sec): 288.60 - samples/sec: 2684.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:39:47,548 epoch 95 - iter 2082/6941 - loss 0.18198564 - time (sec): 432.66 - samples/sec: 2686.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:42:11,781 epoch 95 - iter 2776/6941 - loss 0.18198833 - time (sec): 576.89 - samples/sec: 2690.05 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:44:35,347 epoch 95 - iter 3470/6941 - loss 0.18125434 - time (sec): 720.46 - samples/sec: 2690.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:47:00,108 epoch 95 - iter 4164/6941 - loss 0.18077351 - time (sec): 865.22 - samples/sec: 2686.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:49:24,890 epoch 95 - iter 4858/6941 - loss 0.18094264 - time (sec): 1010.00 - samples/sec: 2686.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:51:46,653 epoch 95 - iter 5552/6941 - loss 0.18059231 - time (sec): 1151.77 - samples/sec: 2690.51 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:54:13,888 epoch 95 - iter 6246/6941 - loss 0.18042203 - time (sec): 1299.00 - samples/sec: 2686.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:56:40,122 epoch 95 - iter 6940/6941 - loss 0.18016860 - time (sec): 1445.24 - samples/sec: 2684.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 13:56:40,331 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:56:40,331 EPOCH 95 done: loss 0.1802 - lr: 0.050000
+2024-03-14 13:56:40,331  - 0 epochs without improvement
+2024-03-14 13:56:40,332 ----------------------------------------------------------------------------------------------------
+2024-03-14 13:59:04,993 epoch 96 - iter 694/6941 - loss 0.17686192 - time (sec): 144.66 - samples/sec: 2682.80 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:01:26,980 epoch 96 - iter 1388/6941 - loss 0.17740354 - time (sec): 286.65 - samples/sec: 2701.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:03:52,163 epoch 96 - iter 2082/6941 - loss 0.17715191 - time (sec): 431.83 - samples/sec: 2689.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:06:16,652 epoch 96 - iter 2776/6941 - loss 0.17693057 - time (sec): 576.32 - samples/sec: 2691.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:08:39,969 epoch 96 - iter 3470/6941 - loss 0.17638004 - time (sec): 719.64 - samples/sec: 2690.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:11:07,612 epoch 96 - iter 4164/6941 - loss 0.17663582 - time (sec): 867.28 - samples/sec: 2680.00 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:13:31,096 epoch 96 - iter 4858/6941 - loss 0.17672430 - time (sec): 1010.76 - samples/sec: 2686.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:15:56,050 epoch 96 - iter 5552/6941 - loss 0.17649856 - time (sec): 1155.72 - samples/sec: 2686.24 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:18:21,616 epoch 96 - iter 6246/6941 - loss 0.17667943 - time (sec): 1301.28 - samples/sec: 2683.02 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:20:45,266 epoch 96 - iter 6940/6941 - loss 0.17677092 - time (sec): 1444.93 - samples/sec: 2685.42 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:20:45,369 ----------------------------------------------------------------------------------------------------
+2024-03-14 14:20:45,370 EPOCH 96 done: loss 0.1768 - lr: 0.050000
+2024-03-14 14:20:45,370  - 0 epochs without improvement
+2024-03-14 14:20:45,370 ----------------------------------------------------------------------------------------------------
+2024-03-14 14:23:10,125 epoch 97 - iter 694/6941 - loss 0.17573270 - time (sec): 144.76 - samples/sec: 2667.72 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:25:33,754 epoch 97 - iter 1388/6941 - loss 0.17603308 - time (sec): 288.38 - samples/sec: 2684.27 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:27:59,574 epoch 97 - iter 2082/6941 - loss 0.17579273 - time (sec): 434.20 - samples/sec: 2684.66 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:30:24,097 epoch 97 - iter 2776/6941 - loss 0.17522058 - time (sec): 578.73 - samples/sec: 2689.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:32:47,011 epoch 97 - iter 3470/6941 - loss 0.17542019 - time (sec): 721.64 - samples/sec: 2691.96 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:35:11,495 epoch 97 - iter 4164/6941 - loss 0.17541068 - time (sec): 866.13 - samples/sec: 2692.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:37:38,322 epoch 97 - iter 4858/6941 - loss 0.17549128 - time (sec): 1012.95 - samples/sec: 2686.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:40:03,771 epoch 97 - iter 5552/6941 - loss 0.17580169 - time (sec): 1158.40 - samples/sec: 2683.61 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:42:27,342 epoch 97 - iter 6246/6941 - loss 0.17555859 - time (sec): 1301.97 - samples/sec: 2684.86 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:44:50,991 epoch 97 - iter 6940/6941 - loss 0.17548350 - time (sec): 1445.62 - samples/sec: 2684.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:44:51,095 ----------------------------------------------------------------------------------------------------
+2024-03-14 14:44:51,095 EPOCH 97 done: loss 0.1755 - lr: 0.050000
+2024-03-14 14:44:51,095  - 0 epochs without improvement
+2024-03-14 14:44:51,096 ----------------------------------------------------------------------------------------------------
+2024-03-14 14:47:15,384 epoch 98 - iter 694/6941 - loss 0.17146471 - time (sec): 144.29 - samples/sec: 2706.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:49:40,872 epoch 98 - iter 1388/6941 - loss 0.17248619 - time (sec): 289.78 - samples/sec: 2698.63 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:52:06,503 epoch 98 - iter 2082/6941 - loss 0.17270379 - time (sec): 435.41 - samples/sec: 2685.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:54:32,178 epoch 98 - iter 2776/6941 - loss 0.17327999 - time (sec): 581.08 - samples/sec: 2681.09 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:56:55,762 epoch 98 - iter 3470/6941 - loss 0.17339161 - time (sec): 724.67 - samples/sec: 2682.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 14:59:19,150 epoch 98 - iter 4164/6941 - loss 0.17356921 - time (sec): 868.05 - samples/sec: 2685.60 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:01:42,615 epoch 98 - iter 4858/6941 - loss 0.17327095 - time (sec): 1011.52 - samples/sec: 2687.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:04:08,485 epoch 98 - iter 5552/6941 - loss 0.17335693 - time (sec): 1157.39 - samples/sec: 2681.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:06:33,233 epoch 98 - iter 6246/6941 - loss 0.17336967 - time (sec): 1302.14 - samples/sec: 2680.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:08:58,420 epoch 98 - iter 6940/6941 - loss 0.17354838 - time (sec): 1447.32 - samples/sec: 2680.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:08:58,573 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:08:58,573 EPOCH 98 done: loss 0.1735 - lr: 0.050000
+2024-03-14 15:08:58,573  - 0 epochs without improvement
+2024-03-14 15:08:58,574 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:11:22,747 epoch 99 - iter 694/6941 - loss 0.17295847 - time (sec): 144.17 - samples/sec: 2689.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:13:44,423 epoch 99 - iter 1388/6941 - loss 0.17222034 - time (sec): 285.85 - samples/sec: 2708.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:16:06,325 epoch 99 - iter 2082/6941 - loss 0.17266588 - time (sec): 427.75 - samples/sec: 2717.37 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:18:34,943 epoch 99 - iter 2776/6941 - loss 0.17240876 - time (sec): 576.37 - samples/sec: 2694.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:21:00,004 epoch 99 - iter 3470/6941 - loss 0.17266787 - time (sec): 721.43 - samples/sec: 2691.23 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:23:24,649 epoch 99 - iter 4164/6941 - loss 0.17264736 - time (sec): 866.08 - samples/sec: 2689.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:25:50,786 epoch 99 - iter 4858/6941 - loss 0.17267970 - time (sec): 1012.21 - samples/sec: 2685.37 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:28:17,738 epoch 99 - iter 5552/6941 - loss 0.17277467 - time (sec): 1159.16 - samples/sec: 2679.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:30:40,564 epoch 99 - iter 6246/6941 - loss 0.17297712 - time (sec): 1301.99 - samples/sec: 2681.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:33:05,843 epoch 99 - iter 6940/6941 - loss 0.17303516 - time (sec): 1447.27 - samples/sec: 2681.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:33:05,974 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:33:05,974 EPOCH 99 done: loss 0.1730 - lr: 0.050000
+2024-03-14 15:33:05,974  - 0 epochs without improvement
+2024-03-14 15:33:05,974 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:35:27,896 epoch 100 - iter 694/6941 - loss 0.17237498 - time (sec): 141.92 - samples/sec: 2710.96 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:37:51,641 epoch 100 - iter 1388/6941 - loss 0.17222129 - time (sec): 285.67 - samples/sec: 2705.89 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:40:17,978 epoch 100 - iter 2082/6941 - loss 0.17266131 - time (sec): 432.00 - samples/sec: 2685.77 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:42:42,904 epoch 100 - iter 2776/6941 - loss 0.17302437 - time (sec): 576.93 - samples/sec: 2681.45 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:45:07,239 epoch 100 - iter 3470/6941 - loss 0.17280073 - time (sec): 721.26 - samples/sec: 2682.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:47:31,634 epoch 100 - iter 4164/6941 - loss 0.17303429 - time (sec): 865.66 - samples/sec: 2683.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:49:57,701 epoch 100 - iter 4858/6941 - loss 0.17295767 - time (sec): 1011.73 - samples/sec: 2682.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:52:20,886 epoch 100 - iter 5552/6941 - loss 0.17264946 - time (sec): 1154.91 - samples/sec: 2685.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:54:44,511 epoch 100 - iter 6246/6941 - loss 0.17279478 - time (sec): 1298.54 - samples/sec: 2687.63 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:57:10,700 epoch 100 - iter 6940/6941 - loss 0.17262028 - time (sec): 1444.73 - samples/sec: 2685.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 15:57:10,810 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:57:10,810 EPOCH 100 done: loss 0.1726 - lr: 0.050000
+2024-03-14 15:57:10,810  - 0 epochs without improvement
+2024-03-14 15:57:10,810 ----------------------------------------------------------------------------------------------------
+2024-03-14 15:59:35,741 epoch 101 - iter 694/6941 - loss 0.17177859 - time (sec): 144.93 - samples/sec: 2688.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:02:03,760 epoch 101 - iter 1388/6941 - loss 0.17280424 - time (sec): 292.95 - samples/sec: 2657.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:04:25,200 epoch 101 - iter 2082/6941 - loss 0.17222058 - time (sec): 434.39 - samples/sec: 2681.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:06:47,917 epoch 101 - iter 2776/6941 - loss 0.17211272 - time (sec): 577.11 - samples/sec: 2688.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:09:10,739 epoch 101 - iter 3470/6941 - loss 0.17154856 - time (sec): 719.93 - samples/sec: 2692.76 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:11:33,593 epoch 101 - iter 4164/6941 - loss 0.17137906 - time (sec): 862.78 - samples/sec: 2696.31 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:14:01,569 epoch 101 - iter 4858/6941 - loss 0.17135789 - time (sec): 1010.76 - samples/sec: 2688.05 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:16:25,570 epoch 101 - iter 5552/6941 - loss 0.17120334 - time (sec): 1154.76 - samples/sec: 2688.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:18:50,733 epoch 101 - iter 6246/6941 - loss 0.17122299 - time (sec): 1299.92 - samples/sec: 2685.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:21:15,156 epoch 101 - iter 6940/6941 - loss 0.17136699 - time (sec): 1444.35 - samples/sec: 2686.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:21:15,278 ----------------------------------------------------------------------------------------------------
+2024-03-14 16:21:15,278 EPOCH 101 done: loss 0.1714 - lr: 0.050000
+2024-03-14 16:21:15,279  - 0 epochs without improvement
+2024-03-14 16:21:15,279 ----------------------------------------------------------------------------------------------------
+2024-03-14 16:23:39,036 epoch 102 - iter 694/6941 - loss 0.16919131 - time (sec): 143.76 - samples/sec: 2684.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:26:05,756 epoch 102 - iter 1388/6941 - loss 0.17086345 - time (sec): 290.48 - samples/sec: 2665.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:28:31,083 epoch 102 - iter 2082/6941 - loss 0.17039328 - time (sec): 435.80 - samples/sec: 2667.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:30:53,719 epoch 102 - iter 2776/6941 - loss 0.17106312 - time (sec): 578.44 - samples/sec: 2679.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:33:18,281 epoch 102 - iter 3470/6941 - loss 0.17132556 - time (sec): 723.00 - samples/sec: 2684.22 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:35:43,297 epoch 102 - iter 4164/6941 - loss 0.17143453 - time (sec): 868.02 - samples/sec: 2680.78 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:38:08,826 epoch 102 - iter 4858/6941 - loss 0.17129375 - time (sec): 1013.55 - samples/sec: 2679.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:40:33,379 epoch 102 - iter 5552/6941 - loss 0.17121902 - time (sec): 1158.10 - samples/sec: 2680.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:42:57,302 epoch 102 - iter 6246/6941 - loss 0.17114470 - time (sec): 1302.02 - samples/sec: 2681.54 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:45:23,042 epoch 102 - iter 6940/6941 - loss 0.17112284 - time (sec): 1447.76 - samples/sec: 2680.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:45:23,142 ----------------------------------------------------------------------------------------------------
+2024-03-14 16:45:23,142 EPOCH 102 done: loss 0.1711 - lr: 0.050000
+2024-03-14 16:45:23,142  - 0 epochs without improvement
+2024-03-14 16:45:23,142 ----------------------------------------------------------------------------------------------------
+2024-03-14 16:47:48,763 epoch 103 - iter 694/6941 - loss 0.16874119 - time (sec): 145.62 - samples/sec: 2681.22 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:50:14,843 epoch 103 - iter 1388/6941 - loss 0.16919531 - time (sec): 291.70 - samples/sec: 2674.85 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:52:40,224 epoch 103 - iter 2082/6941 - loss 0.16947486 - time (sec): 437.08 - samples/sec: 2675.22 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:55:04,218 epoch 103 - iter 2776/6941 - loss 0.17029951 - time (sec): 581.08 - samples/sec: 2678.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:57:28,280 epoch 103 - iter 3470/6941 - loss 0.17023618 - time (sec): 725.14 - samples/sec: 2676.78 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 16:59:53,716 epoch 103 - iter 4164/6941 - loss 0.17047137 - time (sec): 870.57 - samples/sec: 2674.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:02:18,612 epoch 103 - iter 4858/6941 - loss 0.17070193 - time (sec): 1015.47 - samples/sec: 2674.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:04:44,940 epoch 103 - iter 5552/6941 - loss 0.17070214 - time (sec): 1161.80 - samples/sec: 2671.80 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:07:08,315 epoch 103 - iter 6246/6941 - loss 0.17048428 - time (sec): 1305.17 - samples/sec: 2675.66 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:09:30,889 epoch 103 - iter 6940/6941 - loss 0.17035562 - time (sec): 1447.75 - samples/sec: 2680.20 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:09:31,004 ----------------------------------------------------------------------------------------------------
+2024-03-14 17:09:31,004 EPOCH 103 done: loss 0.1704 - lr: 0.050000
+2024-03-14 17:09:31,004  - 0 epochs without improvement
+2024-03-14 17:09:31,004 ----------------------------------------------------------------------------------------------------
+2024-03-14 17:11:57,990 epoch 104 - iter 694/6941 - loss 0.16947575 - time (sec): 146.99 - samples/sec: 2640.88 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:14:23,111 epoch 104 - iter 1388/6941 - loss 0.16966181 - time (sec): 292.11 - samples/sec: 2657.65 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:16:47,225 epoch 104 - iter 2082/6941 - loss 0.17019835 - time (sec): 436.22 - samples/sec: 2667.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:19:09,039 epoch 104 - iter 2776/6941 - loss 0.17007552 - time (sec): 578.03 - samples/sec: 2679.03 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:21:32,307 epoch 104 - iter 3470/6941 - loss 0.16992978 - time (sec): 721.30 - samples/sec: 2681.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:23:58,429 epoch 104 - iter 4164/6941 - loss 0.16991485 - time (sec): 867.43 - samples/sec: 2680.37 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:26:21,474 epoch 104 - iter 4858/6941 - loss 0.16994907 - time (sec): 1010.47 - samples/sec: 2687.76 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:28:49,719 epoch 104 - iter 5552/6941 - loss 0.17013555 - time (sec): 1158.71 - samples/sec: 2680.05 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:31:13,548 epoch 104 - iter 6246/6941 - loss 0.17025978 - time (sec): 1302.54 - samples/sec: 2681.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:33:39,517 epoch 104 - iter 6940/6941 - loss 0.17015041 - time (sec): 1448.51 - samples/sec: 2678.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:33:39,574 ----------------------------------------------------------------------------------------------------
+2024-03-14 17:33:39,574 EPOCH 104 done: loss 0.1702 - lr: 0.050000
+2024-03-14 17:33:39,574  - 0 epochs without improvement
+2024-03-14 17:33:39,574 ----------------------------------------------------------------------------------------------------
+2024-03-14 17:36:04,087 epoch 105 - iter 694/6941 - loss 0.16941562 - time (sec): 144.51 - samples/sec: 2698.24 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:38:26,739 epoch 105 - iter 1388/6941 - loss 0.16942503 - time (sec): 287.16 - samples/sec: 2705.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:40:51,886 epoch 105 - iter 2082/6941 - loss 0.16995612 - time (sec): 432.31 - samples/sec: 2697.01 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:43:15,721 epoch 105 - iter 2776/6941 - loss 0.16977441 - time (sec): 576.15 - samples/sec: 2698.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:45:39,640 epoch 105 - iter 3470/6941 - loss 0.16982468 - time (sec): 720.07 - samples/sec: 2697.48 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:48:04,261 epoch 105 - iter 4164/6941 - loss 0.16986161 - time (sec): 864.69 - samples/sec: 2695.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:50:28,256 epoch 105 - iter 4858/6941 - loss 0.17000274 - time (sec): 1008.68 - samples/sec: 2694.22 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:52:54,291 epoch 105 - iter 5552/6941 - loss 0.17011726 - time (sec): 1154.72 - samples/sec: 2688.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:55:19,088 epoch 105 - iter 6246/6941 - loss 0.16995756 - time (sec): 1299.51 - samples/sec: 2687.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:57:44,251 epoch 105 - iter 6940/6941 - loss 0.17028798 - time (sec): 1444.68 - samples/sec: 2685.91 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 17:57:44,322 ----------------------------------------------------------------------------------------------------
+2024-03-14 17:57:44,322 EPOCH 105 done: loss 0.1703 - lr: 0.050000
+2024-03-14 17:57:44,322  - 1 epochs without improvement
+2024-03-14 17:57:44,323 ----------------------------------------------------------------------------------------------------
+2024-03-14 18:00:08,079 epoch 106 - iter 694/6941 - loss 0.16948537 - time (sec): 143.76 - samples/sec: 2699.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:02:31,992 epoch 106 - iter 1388/6941 - loss 0.16871125 - time (sec): 287.67 - samples/sec: 2695.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:04:58,510 epoch 106 - iter 2082/6941 - loss 0.16833019 - time (sec): 434.19 - samples/sec: 2681.50 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:07:23,490 epoch 106 - iter 2776/6941 - loss 0.16835026 - time (sec): 579.17 - samples/sec: 2680.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:09:46,087 epoch 106 - iter 3470/6941 - loss 0.16847027 - time (sec): 721.76 - samples/sec: 2687.86 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:12:10,414 epoch 106 - iter 4164/6941 - loss 0.16843325 - time (sec): 866.09 - samples/sec: 2689.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:14:34,914 epoch 106 - iter 4858/6941 - loss 0.16874402 - time (sec): 1010.59 - samples/sec: 2687.10 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:17:00,948 epoch 106 - iter 5552/6941 - loss 0.16884318 - time (sec): 1156.63 - samples/sec: 2681.23 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:19:23,979 epoch 106 - iter 6246/6941 - loss 0.16898368 - time (sec): 1299.66 - samples/sec: 2686.64 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:21:47,604 epoch 106 - iter 6940/6941 - loss 0.16908540 - time (sec): 1443.28 - samples/sec: 2688.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:21:47,682 ----------------------------------------------------------------------------------------------------
+2024-03-14 18:21:47,682 EPOCH 106 done: loss 0.1691 - lr: 0.050000
+2024-03-14 18:21:47,682  - 0 epochs without improvement
+2024-03-14 18:21:47,682 ----------------------------------------------------------------------------------------------------
+2024-03-14 18:24:14,094 epoch 107 - iter 694/6941 - loss 0.16880756 - time (sec): 146.41 - samples/sec: 2671.30 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:26:39,493 epoch 107 - iter 1388/6941 - loss 0.16879004 - time (sec): 291.81 - samples/sec: 2667.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:29:02,738 epoch 107 - iter 2082/6941 - loss 0.16869358 - time (sec): 435.06 - samples/sec: 2686.90 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:31:26,501 epoch 107 - iter 2776/6941 - loss 0.16932239 - time (sec): 578.82 - samples/sec: 2684.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:33:53,428 epoch 107 - iter 3470/6941 - loss 0.16947655 - time (sec): 725.75 - samples/sec: 2677.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:36:17,283 epoch 107 - iter 4164/6941 - loss 0.16952199 - time (sec): 869.60 - samples/sec: 2678.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:38:40,133 epoch 107 - iter 4858/6941 - loss 0.16945444 - time (sec): 1012.45 - samples/sec: 2680.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:41:03,502 epoch 107 - iter 5552/6941 - loss 0.16964931 - time (sec): 1155.82 - samples/sec: 2684.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:43:24,965 epoch 107 - iter 6246/6941 - loss 0.16947994 - time (sec): 1297.28 - samples/sec: 2689.68 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:45:51,703 epoch 107 - iter 6940/6941 - loss 0.16941275 - time (sec): 1444.02 - samples/sec: 2687.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:45:51,739 ----------------------------------------------------------------------------------------------------
+2024-03-14 18:45:51,739 EPOCH 107 done: loss 0.1694 - lr: 0.050000
+2024-03-14 18:45:51,739  - 1 epochs without improvement
+2024-03-14 18:45:51,739 ----------------------------------------------------------------------------------------------------
+2024-03-14 18:48:15,039 epoch 108 - iter 694/6941 - loss 0.16984946 - time (sec): 143.30 - samples/sec: 2699.88 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:50:36,884 epoch 108 - iter 1388/6941 - loss 0.16937297 - time (sec): 285.14 - samples/sec: 2714.72 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:53:00,998 epoch 108 - iter 2082/6941 - loss 0.16895630 - time (sec): 429.26 - samples/sec: 2709.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:55:24,661 epoch 108 - iter 2776/6941 - loss 0.16903920 - time (sec): 572.92 - samples/sec: 2700.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 18:57:48,862 epoch 108 - iter 3470/6941 - loss 0.16899612 - time (sec): 717.12 - samples/sec: 2698.50 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:00:13,750 epoch 108 - iter 4164/6941 - loss 0.16867948 - time (sec): 862.01 - samples/sec: 2696.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:02:39,725 epoch 108 - iter 4858/6941 - loss 0.16854218 - time (sec): 1007.99 - samples/sec: 2690.23 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:05:02,983 epoch 108 - iter 5552/6941 - loss 0.16839104 - time (sec): 1151.24 - samples/sec: 2691.02 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:07:31,260 epoch 108 - iter 6246/6941 - loss 0.16845369 - time (sec): 1299.52 - samples/sec: 2684.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:09:55,817 epoch 108 - iter 6940/6941 - loss 0.16867379 - time (sec): 1444.08 - samples/sec: 2687.03 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:09:55,888 ----------------------------------------------------------------------------------------------------
+2024-03-14 19:09:55,888 EPOCH 108 done: loss 0.1687 - lr: 0.050000
+2024-03-14 19:09:55,888  - 0 epochs without improvement
+2024-03-14 19:09:55,888 ----------------------------------------------------------------------------------------------------
+2024-03-14 19:12:20,328 epoch 109 - iter 694/6941 - loss 0.16952797 - time (sec): 144.44 - samples/sec: 2682.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:14:46,966 epoch 109 - iter 1388/6941 - loss 0.16947376 - time (sec): 291.08 - samples/sec: 2669.90 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:17:13,762 epoch 109 - iter 2082/6941 - loss 0.16837489 - time (sec): 437.87 - samples/sec: 2664.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:19:36,396 epoch 109 - iter 2776/6941 - loss 0.16835584 - time (sec): 580.51 - samples/sec: 2681.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:21:57,497 epoch 109 - iter 3470/6941 - loss 0.16844267 - time (sec): 721.61 - samples/sec: 2688.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:24:20,661 epoch 109 - iter 4164/6941 - loss 0.16837037 - time (sec): 864.77 - samples/sec: 2692.00 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:26:44,995 epoch 109 - iter 4858/6941 - loss 0.16850433 - time (sec): 1009.11 - samples/sec: 2691.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:29:12,713 epoch 109 - iter 5552/6941 - loss 0.16841112 - time (sec): 1156.82 - samples/sec: 2684.37 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:31:38,740 epoch 109 - iter 6246/6941 - loss 0.16845619 - time (sec): 1302.85 - samples/sec: 2681.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:34:01,427 epoch 109 - iter 6940/6941 - loss 0.16857927 - time (sec): 1445.54 - samples/sec: 2684.30 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:34:01,519 ----------------------------------------------------------------------------------------------------
+2024-03-14 19:34:01,519 EPOCH 109 done: loss 0.1686 - lr: 0.050000
+2024-03-14 19:34:01,519  - 0 epochs without improvement
+2024-03-14 19:34:01,519 ----------------------------------------------------------------------------------------------------
+2024-03-14 19:36:25,912 epoch 110 - iter 694/6941 - loss 0.16882650 - time (sec): 144.39 - samples/sec: 2700.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:38:52,351 epoch 110 - iter 1388/6941 - loss 0.16868478 - time (sec): 290.83 - samples/sec: 2674.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:41:18,194 epoch 110 - iter 2082/6941 - loss 0.16745285 - time (sec): 436.67 - samples/sec: 2672.83 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:43:41,266 epoch 110 - iter 2776/6941 - loss 0.16782565 - time (sec): 579.75 - samples/sec: 2674.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:46:05,405 epoch 110 - iter 3470/6941 - loss 0.16830701 - time (sec): 723.89 - samples/sec: 2680.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:48:28,812 epoch 110 - iter 4164/6941 - loss 0.16846278 - time (sec): 867.29 - samples/sec: 2685.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:50:53,626 epoch 110 - iter 4858/6941 - loss 0.16837531 - time (sec): 1012.11 - samples/sec: 2682.95 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:53:17,658 epoch 110 - iter 5552/6941 - loss 0.16812016 - time (sec): 1156.14 - samples/sec: 2684.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:55:42,763 epoch 110 - iter 6246/6941 - loss 0.16835639 - time (sec): 1301.24 - samples/sec: 2682.86 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:58:07,575 epoch 110 - iter 6940/6941 - loss 0.16816969 - time (sec): 1446.06 - samples/sec: 2683.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 19:58:07,696 ----------------------------------------------------------------------------------------------------
+2024-03-14 19:58:07,696 EPOCH 110 done: loss 0.1682 - lr: 0.050000
+2024-03-14 19:58:07,696  - 0 epochs without improvement
+2024-03-14 19:58:07,696 ----------------------------------------------------------------------------------------------------
+2024-03-14 20:00:33,638 epoch 111 - iter 694/6941 - loss 0.16765155 - time (sec): 145.94 - samples/sec: 2668.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:03:00,003 epoch 111 - iter 1388/6941 - loss 0.16798113 - time (sec): 292.31 - samples/sec: 2658.96 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:05:19,154 epoch 111 - iter 2082/6941 - loss 0.16767323 - time (sec): 431.46 - samples/sec: 2695.84 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:07:46,415 epoch 111 - iter 2776/6941 - loss 0.16781982 - time (sec): 578.72 - samples/sec: 2682.62 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:10:09,703 epoch 111 - iter 3470/6941 - loss 0.16772265 - time (sec): 722.01 - samples/sec: 2689.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:12:31,719 epoch 111 - iter 4164/6941 - loss 0.16811489 - time (sec): 864.02 - samples/sec: 2694.54 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:14:59,279 epoch 111 - iter 4858/6941 - loss 0.16819579 - time (sec): 1011.58 - samples/sec: 2684.62 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:17:26,153 epoch 111 - iter 5552/6941 - loss 0.16828829 - time (sec): 1158.46 - samples/sec: 2679.68 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:19:49,372 epoch 111 - iter 6246/6941 - loss 0.16818116 - time (sec): 1301.68 - samples/sec: 2682.72 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:22:12,886 epoch 111 - iter 6940/6941 - loss 0.16805810 - time (sec): 1445.19 - samples/sec: 2684.94 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:22:12,990 ----------------------------------------------------------------------------------------------------
+2024-03-14 20:22:12,990 EPOCH 111 done: loss 0.1681 - lr: 0.050000
+2024-03-14 20:22:12,990  - 0 epochs without improvement
+2024-03-14 20:22:12,990 ----------------------------------------------------------------------------------------------------
+2024-03-14 20:24:40,501 epoch 112 - iter 694/6941 - loss 0.16800622 - time (sec): 147.51 - samples/sec: 2650.27 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:27:04,038 epoch 112 - iter 1388/6941 - loss 0.16807277 - time (sec): 291.05 - samples/sec: 2675.73 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:29:27,527 epoch 112 - iter 2082/6941 - loss 0.16787640 - time (sec): 434.54 - samples/sec: 2683.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:31:51,300 epoch 112 - iter 2776/6941 - loss 0.16714163 - time (sec): 578.31 - samples/sec: 2686.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:34:15,038 epoch 112 - iter 3470/6941 - loss 0.16742696 - time (sec): 722.05 - samples/sec: 2688.27 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:36:38,891 epoch 112 - iter 4164/6941 - loss 0.16731590 - time (sec): 865.90 - samples/sec: 2690.31 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:39:05,541 epoch 112 - iter 4858/6941 - loss 0.16746203 - time (sec): 1012.55 - samples/sec: 2684.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:41:31,792 epoch 112 - iter 5552/6941 - loss 0.16743754 - time (sec): 1158.80 - samples/sec: 2680.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:43:55,871 epoch 112 - iter 6246/6941 - loss 0.16725742 - time (sec): 1302.88 - samples/sec: 2680.86 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:46:19,677 epoch 112 - iter 6940/6941 - loss 0.16727292 - time (sec): 1446.69 - samples/sec: 2682.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:46:19,798 ----------------------------------------------------------------------------------------------------
+2024-03-14 20:46:19,798 EPOCH 112 done: loss 0.1673 - lr: 0.050000
+2024-03-14 20:46:19,798  - 0 epochs without improvement
+2024-03-14 20:46:19,798 ----------------------------------------------------------------------------------------------------
+2024-03-14 20:48:41,388 epoch 113 - iter 694/6941 - loss 0.16469096 - time (sec): 141.59 - samples/sec: 2732.05 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:51:06,471 epoch 113 - iter 1388/6941 - loss 0.16619882 - time (sec): 286.67 - samples/sec: 2706.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:53:31,225 epoch 113 - iter 2082/6941 - loss 0.16613598 - time (sec): 431.43 - samples/sec: 2703.00 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:55:55,782 epoch 113 - iter 2776/6941 - loss 0.16604137 - time (sec): 575.98 - samples/sec: 2692.64 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 20:58:20,697 epoch 113 - iter 3470/6941 - loss 0.16618455 - time (sec): 720.90 - samples/sec: 2690.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:00:48,311 epoch 113 - iter 4164/6941 - loss 0.16671838 - time (sec): 868.51 - samples/sec: 2681.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:03:13,391 epoch 113 - iter 4858/6941 - loss 0.16674156 - time (sec): 1013.59 - samples/sec: 2680.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:05:40,940 epoch 113 - iter 5552/6941 - loss 0.16701451 - time (sec): 1161.14 - samples/sec: 2676.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:08:04,735 epoch 113 - iter 6246/6941 - loss 0.16706824 - time (sec): 1304.94 - samples/sec: 2679.76 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:10:26,599 epoch 113 - iter 6940/6941 - loss 0.16714449 - time (sec): 1446.80 - samples/sec: 2681.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:10:26,665 ----------------------------------------------------------------------------------------------------
+2024-03-14 21:10:26,665 EPOCH 113 done: loss 0.1671 - lr: 0.050000
+2024-03-14 21:10:26,665  - 0 epochs without improvement
+2024-03-14 21:10:26,665 ----------------------------------------------------------------------------------------------------
+2024-03-14 21:12:50,244 epoch 114 - iter 694/6941 - loss 0.16509629 - time (sec): 143.58 - samples/sec: 2690.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:15:17,218 epoch 114 - iter 1388/6941 - loss 0.16713114 - time (sec): 290.55 - samples/sec: 2669.27 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:17:41,596 epoch 114 - iter 2082/6941 - loss 0.16702260 - time (sec): 434.93 - samples/sec: 2672.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:20:06,865 epoch 114 - iter 2776/6941 - loss 0.16656795 - time (sec): 580.20 - samples/sec: 2675.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:22:30,525 epoch 114 - iter 3470/6941 - loss 0.16674081 - time (sec): 723.86 - samples/sec: 2681.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:24:54,389 epoch 114 - iter 4164/6941 - loss 0.16670023 - time (sec): 867.72 - samples/sec: 2683.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:27:20,034 epoch 114 - iter 4858/6941 - loss 0.16671606 - time (sec): 1013.37 - samples/sec: 2681.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:29:41,730 epoch 114 - iter 5552/6941 - loss 0.16674290 - time (sec): 1155.07 - samples/sec: 2688.95 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:32:07,368 epoch 114 - iter 6246/6941 - loss 0.16671467 - time (sec): 1300.70 - samples/sec: 2686.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:34:31,977 epoch 114 - iter 6940/6941 - loss 0.16684383 - time (sec): 1445.31 - samples/sec: 2684.74 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:34:32,037 ----------------------------------------------------------------------------------------------------
+2024-03-14 21:34:32,037 EPOCH 114 done: loss 0.1668 - lr: 0.050000
+2024-03-14 21:34:32,037  - 0 epochs without improvement
+2024-03-14 21:34:32,037 ----------------------------------------------------------------------------------------------------
+2024-03-14 21:36:56,629 epoch 115 - iter 694/6941 - loss 0.16616681 - time (sec): 144.59 - samples/sec: 2666.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:39:24,776 epoch 115 - iter 1388/6941 - loss 0.16573527 - time (sec): 292.74 - samples/sec: 2651.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:41:51,124 epoch 115 - iter 2082/6941 - loss 0.16617181 - time (sec): 439.09 - samples/sec: 2656.44 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:44:14,591 epoch 115 - iter 2776/6941 - loss 0.16572872 - time (sec): 582.55 - samples/sec: 2670.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:46:37,545 epoch 115 - iter 3470/6941 - loss 0.16587071 - time (sec): 725.51 - samples/sec: 2678.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:49:02,019 epoch 115 - iter 4164/6941 - loss 0.16627437 - time (sec): 869.98 - samples/sec: 2679.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:51:24,689 epoch 115 - iter 4858/6941 - loss 0.16622010 - time (sec): 1012.65 - samples/sec: 2683.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:53:51,044 epoch 115 - iter 5552/6941 - loss 0.16617268 - time (sec): 1159.01 - samples/sec: 2678.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:56:18,093 epoch 115 - iter 6246/6941 - loss 0.16653419 - time (sec): 1306.06 - samples/sec: 2674.05 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:58:40,549 epoch 115 - iter 6940/6941 - loss 0.16647578 - time (sec): 1448.51 - samples/sec: 2678.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 21:58:40,654 ----------------------------------------------------------------------------------------------------
+2024-03-14 21:58:40,654 EPOCH 115 done: loss 0.1665 - lr: 0.050000
+2024-03-14 21:58:40,654  - 0 epochs without improvement
+2024-03-14 21:58:40,654 ----------------------------------------------------------------------------------------------------
+2024-03-14 22:01:07,621 epoch 116 - iter 694/6941 - loss 0.16544435 - time (sec): 146.97 - samples/sec: 2647.72 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:03:31,002 epoch 116 - iter 1388/6941 - loss 0.16690440 - time (sec): 290.35 - samples/sec: 2671.50 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:05:55,524 epoch 116 - iter 2082/6941 - loss 0.16628826 - time (sec): 434.87 - samples/sec: 2675.51 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:08:18,048 epoch 116 - iter 2776/6941 - loss 0.16645537 - time (sec): 577.39 - samples/sec: 2680.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:10:41,133 epoch 116 - iter 3470/6941 - loss 0.16662896 - time (sec): 720.48 - samples/sec: 2683.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:13:04,136 epoch 116 - iter 4164/6941 - loss 0.16660759 - time (sec): 863.48 - samples/sec: 2687.97 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:15:29,185 epoch 116 - iter 4858/6941 - loss 0.16679272 - time (sec): 1008.53 - samples/sec: 2689.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:17:58,747 epoch 116 - iter 5552/6941 - loss 0.16652890 - time (sec): 1158.09 - samples/sec: 2680.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:20:22,636 epoch 116 - iter 6246/6941 - loss 0.16656254 - time (sec): 1301.98 - samples/sec: 2681.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:22:46,575 epoch 116 - iter 6940/6941 - loss 0.16666069 - time (sec): 1445.92 - samples/sec: 2683.61 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:22:46,628 ----------------------------------------------------------------------------------------------------
+2024-03-14 22:22:46,628 EPOCH 116 done: loss 0.1667 - lr: 0.050000
+2024-03-14 22:22:46,628  - 1 epochs without improvement
+2024-03-14 22:22:46,628 ----------------------------------------------------------------------------------------------------
+2024-03-14 22:25:16,478 epoch 117 - iter 694/6941 - loss 0.16666541 - time (sec): 149.85 - samples/sec: 2611.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:27:40,890 epoch 117 - iter 1388/6941 - loss 0.16664279 - time (sec): 294.26 - samples/sec: 2645.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:30:06,791 epoch 117 - iter 2082/6941 - loss 0.16708794 - time (sec): 440.16 - samples/sec: 2646.94 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:32:28,022 epoch 117 - iter 2776/6941 - loss 0.16706425 - time (sec): 581.39 - samples/sec: 2666.73 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:34:51,343 epoch 117 - iter 3470/6941 - loss 0.16653097 - time (sec): 724.71 - samples/sec: 2673.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:37:15,163 epoch 117 - iter 4164/6941 - loss 0.16625629 - time (sec): 868.54 - samples/sec: 2676.74 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:39:37,858 epoch 117 - iter 4858/6941 - loss 0.16618109 - time (sec): 1011.23 - samples/sec: 2681.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:42:04,149 epoch 117 - iter 5552/6941 - loss 0.16625092 - time (sec): 1157.52 - samples/sec: 2678.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:44:29,936 epoch 117 - iter 6246/6941 - loss 0.16612373 - time (sec): 1303.31 - samples/sec: 2677.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:46:55,501 epoch 117 - iter 6940/6941 - loss 0.16618987 - time (sec): 1448.87 - samples/sec: 2678.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:46:55,654 ----------------------------------------------------------------------------------------------------
+2024-03-14 22:46:55,654 EPOCH 117 done: loss 0.1662 - lr: 0.050000
+2024-03-14 22:46:55,654  - 0 epochs without improvement
+2024-03-14 22:46:55,655 ----------------------------------------------------------------------------------------------------
+2024-03-14 22:49:19,471 epoch 118 - iter 694/6941 - loss 0.16496507 - time (sec): 143.82 - samples/sec: 2698.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:51:42,817 epoch 118 - iter 1388/6941 - loss 0.16439603 - time (sec): 287.16 - samples/sec: 2700.95 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:54:09,116 epoch 118 - iter 2082/6941 - loss 0.16446426 - time (sec): 433.46 - samples/sec: 2689.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:56:32,578 epoch 118 - iter 2776/6941 - loss 0.16472374 - time (sec): 576.92 - samples/sec: 2691.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 22:58:57,662 epoch 118 - iter 3470/6941 - loss 0.16473830 - time (sec): 722.01 - samples/sec: 2690.65 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:01:23,031 epoch 118 - iter 4164/6941 - loss 0.16537387 - time (sec): 867.38 - samples/sec: 2689.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:03:47,417 epoch 118 - iter 4858/6941 - loss 0.16518330 - time (sec): 1011.76 - samples/sec: 2690.09 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:06:10,510 epoch 118 - iter 5552/6941 - loss 0.16555033 - time (sec): 1154.86 - samples/sec: 2691.60 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:08:34,294 epoch 118 - iter 6246/6941 - loss 0.16569964 - time (sec): 1298.64 - samples/sec: 2691.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:11:00,624 epoch 118 - iter 6940/6941 - loss 0.16577107 - time (sec): 1444.97 - samples/sec: 2685.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:11:00,744 ----------------------------------------------------------------------------------------------------
+2024-03-14 23:11:00,744 EPOCH 118 done: loss 0.1658 - lr: 0.050000
+2024-03-14 23:11:00,744  - 0 epochs without improvement
+2024-03-14 23:11:00,744 ----------------------------------------------------------------------------------------------------
+2024-03-14 23:13:24,115 epoch 119 - iter 694/6941 - loss 0.16697346 - time (sec): 143.37 - samples/sec: 2700.78 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:15:51,383 epoch 119 - iter 1388/6941 - loss 0.16557305 - time (sec): 290.64 - samples/sec: 2676.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:18:16,032 epoch 119 - iter 2082/6941 - loss 0.16557603 - time (sec): 435.29 - samples/sec: 2686.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:20:39,936 epoch 119 - iter 2776/6941 - loss 0.16568990 - time (sec): 579.19 - samples/sec: 2686.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:23:06,300 epoch 119 - iter 3470/6941 - loss 0.16587406 - time (sec): 725.56 - samples/sec: 2681.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:25:29,111 epoch 119 - iter 4164/6941 - loss 0.16565891 - time (sec): 868.37 - samples/sec: 2687.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:27:52,069 epoch 119 - iter 4858/6941 - loss 0.16572111 - time (sec): 1011.33 - samples/sec: 2688.94 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:30:14,956 epoch 119 - iter 5552/6941 - loss 0.16568969 - time (sec): 1154.21 - samples/sec: 2692.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:32:39,255 epoch 119 - iter 6246/6941 - loss 0.16584649 - time (sec): 1298.51 - samples/sec: 2688.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:35:04,322 epoch 119 - iter 6940/6941 - loss 0.16595434 - time (sec): 1443.58 - samples/sec: 2687.97 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:35:04,365 ----------------------------------------------------------------------------------------------------
+2024-03-14 23:35:04,365 EPOCH 119 done: loss 0.1660 - lr: 0.050000
+2024-03-14 23:35:04,365  - 1 epochs without improvement
+2024-03-14 23:35:04,365 ----------------------------------------------------------------------------------------------------
+2024-03-14 23:37:26,935 epoch 120 - iter 694/6941 - loss 0.16443765 - time (sec): 142.57 - samples/sec: 2703.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:39:50,666 epoch 120 - iter 1388/6941 - loss 0.16459048 - time (sec): 286.30 - samples/sec: 2697.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:42:15,769 epoch 120 - iter 2082/6941 - loss 0.16403610 - time (sec): 431.40 - samples/sec: 2688.97 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:44:39,708 epoch 120 - iter 2776/6941 - loss 0.16526908 - time (sec): 575.34 - samples/sec: 2687.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:47:04,127 epoch 120 - iter 3470/6941 - loss 0.16537137 - time (sec): 719.76 - samples/sec: 2686.22 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:49:29,672 epoch 120 - iter 4164/6941 - loss 0.16533450 - time (sec): 865.31 - samples/sec: 2685.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:51:56,525 epoch 120 - iter 4858/6941 - loss 0.16514051 - time (sec): 1012.16 - samples/sec: 2680.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:54:21,449 epoch 120 - iter 5552/6941 - loss 0.16539244 - time (sec): 1157.08 - samples/sec: 2680.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:56:45,667 epoch 120 - iter 6246/6941 - loss 0.16541521 - time (sec): 1301.30 - samples/sec: 2683.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:59:12,426 epoch 120 - iter 6940/6941 - loss 0.16574110 - time (sec): 1448.06 - samples/sec: 2679.64 - lr: 0.050000 - momentum: 0.000000
+2024-03-14 23:59:12,496 ----------------------------------------------------------------------------------------------------
+2024-03-14 23:59:12,496 EPOCH 120 done: loss 0.1657 - lr: 0.050000
+2024-03-14 23:59:12,496  - 0 epochs without improvement
+2024-03-14 23:59:12,496 ----------------------------------------------------------------------------------------------------
+2024-03-15 00:01:39,342 epoch 121 - iter 694/6941 - loss 0.16495162 - time (sec): 146.85 - samples/sec: 2647.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:04:06,079 epoch 121 - iter 1388/6941 - loss 0.16579141 - time (sec): 293.58 - samples/sec: 2651.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:06:28,224 epoch 121 - iter 2082/6941 - loss 0.16531672 - time (sec): 435.73 - samples/sec: 2668.85 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:08:51,410 epoch 121 - iter 2776/6941 - loss 0.16558343 - time (sec): 578.91 - samples/sec: 2680.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:11:12,657 epoch 121 - iter 3470/6941 - loss 0.16556142 - time (sec): 720.16 - samples/sec: 2692.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:13:36,641 epoch 121 - iter 4164/6941 - loss 0.16552580 - time (sec): 864.15 - samples/sec: 2691.96 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:16:02,128 epoch 121 - iter 4858/6941 - loss 0.16518862 - time (sec): 1009.63 - samples/sec: 2691.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:18:27,762 epoch 121 - iter 5552/6941 - loss 0.16569570 - time (sec): 1155.27 - samples/sec: 2688.15 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:20:52,541 epoch 121 - iter 6246/6941 - loss 0.16566471 - time (sec): 1300.04 - samples/sec: 2688.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:23:14,831 epoch 121 - iter 6940/6941 - loss 0.16585396 - time (sec): 1442.33 - samples/sec: 2690.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:23:14,875 ----------------------------------------------------------------------------------------------------
+2024-03-15 00:23:14,875 EPOCH 121 done: loss 0.1659 - lr: 0.050000
+2024-03-15 00:23:14,875  - 1 epochs without improvement
+2024-03-15 00:23:14,875 ----------------------------------------------------------------------------------------------------
+2024-03-15 00:25:39,584 epoch 122 - iter 694/6941 - loss 0.16435076 - time (sec): 144.71 - samples/sec: 2698.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:28:03,654 epoch 122 - iter 1388/6941 - loss 0.16475948 - time (sec): 288.78 - samples/sec: 2693.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:30:27,526 epoch 122 - iter 2082/6941 - loss 0.16481434 - time (sec): 432.65 - samples/sec: 2691.96 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:32:51,245 epoch 122 - iter 2776/6941 - loss 0.16488320 - time (sec): 576.37 - samples/sec: 2692.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:35:17,522 epoch 122 - iter 3470/6941 - loss 0.16508331 - time (sec): 722.65 - samples/sec: 2687.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:37:41,180 epoch 122 - iter 4164/6941 - loss 0.16503417 - time (sec): 866.30 - samples/sec: 2687.91 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:40:06,018 epoch 122 - iter 4858/6941 - loss 0.16509133 - time (sec): 1011.14 - samples/sec: 2686.51 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:42:31,881 epoch 122 - iter 5552/6941 - loss 0.16521240 - time (sec): 1157.01 - samples/sec: 2683.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:44:55,171 epoch 122 - iter 6246/6941 - loss 0.16522926 - time (sec): 1300.30 - samples/sec: 2685.30 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:47:20,417 epoch 122 - iter 6940/6941 - loss 0.16541068 - time (sec): 1445.54 - samples/sec: 2684.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:47:20,558 ----------------------------------------------------------------------------------------------------
+2024-03-15 00:47:20,558 EPOCH 122 done: loss 0.1654 - lr: 0.050000
+2024-03-15 00:47:20,558  - 0 epochs without improvement
+2024-03-15 00:47:20,559 ----------------------------------------------------------------------------------------------------
+2024-03-15 00:49:44,510 epoch 123 - iter 694/6941 - loss 0.16543951 - time (sec): 143.95 - samples/sec: 2693.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:52:09,103 epoch 123 - iter 1388/6941 - loss 0.16525473 - time (sec): 288.54 - samples/sec: 2694.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:54:35,320 epoch 123 - iter 2082/6941 - loss 0.16564383 - time (sec): 434.76 - samples/sec: 2681.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:56:59,113 epoch 123 - iter 2776/6941 - loss 0.16582131 - time (sec): 578.55 - samples/sec: 2684.74 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 00:59:24,045 epoch 123 - iter 3470/6941 - loss 0.16543842 - time (sec): 723.49 - samples/sec: 2681.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:01:50,156 epoch 123 - iter 4164/6941 - loss 0.16529247 - time (sec): 869.60 - samples/sec: 2677.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:04:15,919 epoch 123 - iter 4858/6941 - loss 0.16531018 - time (sec): 1015.36 - samples/sec: 2675.31 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:06:37,991 epoch 123 - iter 5552/6941 - loss 0.16534396 - time (sec): 1157.43 - samples/sec: 2682.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:09:01,398 epoch 123 - iter 6246/6941 - loss 0.16532232 - time (sec): 1300.84 - samples/sec: 2684.63 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:11:23,626 epoch 123 - iter 6940/6941 - loss 0.16517602 - time (sec): 1443.07 - samples/sec: 2688.91 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:11:23,700 ----------------------------------------------------------------------------------------------------
+2024-03-15 01:11:23,700 EPOCH 123 done: loss 0.1652 - lr: 0.050000
+2024-03-15 01:11:23,700  - 0 epochs without improvement
+2024-03-15 01:11:23,700 ----------------------------------------------------------------------------------------------------
+2024-03-15 01:13:48,939 epoch 124 - iter 694/6941 - loss 0.16485632 - time (sec): 145.24 - samples/sec: 2681.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:16:13,284 epoch 124 - iter 1388/6941 - loss 0.16511984 - time (sec): 289.58 - samples/sec: 2684.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:18:37,099 epoch 124 - iter 2082/6941 - loss 0.16473241 - time (sec): 433.40 - samples/sec: 2685.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:20:59,174 epoch 124 - iter 2776/6941 - loss 0.16473241 - time (sec): 575.47 - samples/sec: 2694.97 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:23:23,762 epoch 124 - iter 3470/6941 - loss 0.16492398 - time (sec): 720.06 - samples/sec: 2696.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:25:47,158 epoch 124 - iter 4164/6941 - loss 0.16527896 - time (sec): 863.46 - samples/sec: 2697.06 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:28:16,962 epoch 124 - iter 4858/6941 - loss 0.16511224 - time (sec): 1013.26 - samples/sec: 2683.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:30:41,273 epoch 124 - iter 5552/6941 - loss 0.16505066 - time (sec): 1157.57 - samples/sec: 2684.72 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:33:05,280 epoch 124 - iter 6246/6941 - loss 0.16515803 - time (sec): 1301.58 - samples/sec: 2684.00 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:35:31,787 epoch 124 - iter 6940/6941 - loss 0.16499454 - time (sec): 1448.09 - samples/sec: 2679.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:35:31,870 ----------------------------------------------------------------------------------------------------
+2024-03-15 01:35:31,870 EPOCH 124 done: loss 0.1650 - lr: 0.050000
+2024-03-15 01:35:31,870  - 0 epochs without improvement
+2024-03-15 01:35:31,870 ----------------------------------------------------------------------------------------------------
+2024-03-15 01:37:59,376 epoch 125 - iter 694/6941 - loss 0.16351808 - time (sec): 147.51 - samples/sec: 2644.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:40:24,850 epoch 125 - iter 1388/6941 - loss 0.16390119 - time (sec): 292.98 - samples/sec: 2660.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:42:48,625 epoch 125 - iter 2082/6941 - loss 0.16442780 - time (sec): 436.75 - samples/sec: 2677.97 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:45:11,974 epoch 125 - iter 2776/6941 - loss 0.16457003 - time (sec): 580.10 - samples/sec: 2684.94 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:47:33,865 epoch 125 - iter 3470/6941 - loss 0.16446940 - time (sec): 721.99 - samples/sec: 2690.77 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:49:58,567 epoch 125 - iter 4164/6941 - loss 0.16459547 - time (sec): 866.70 - samples/sec: 2689.43 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:52:24,914 epoch 125 - iter 4858/6941 - loss 0.16463886 - time (sec): 1013.04 - samples/sec: 2686.73 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:54:50,811 epoch 125 - iter 5552/6941 - loss 0.16450949 - time (sec): 1158.94 - samples/sec: 2681.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:57:14,486 epoch 125 - iter 6246/6941 - loss 0.16456253 - time (sec): 1302.62 - samples/sec: 2682.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:59:40,550 epoch 125 - iter 6940/6941 - loss 0.16471395 - time (sec): 1448.68 - samples/sec: 2678.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 01:59:40,634 ----------------------------------------------------------------------------------------------------
+2024-03-15 01:59:40,634 EPOCH 125 done: loss 0.1647 - lr: 0.050000
+2024-03-15 01:59:40,634  - 0 epochs without improvement
+2024-03-15 01:59:40,634 ----------------------------------------------------------------------------------------------------
+2024-03-15 02:02:05,326 epoch 126 - iter 694/6941 - loss 0.16383422 - time (sec): 144.69 - samples/sec: 2687.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:04:27,942 epoch 126 - iter 1388/6941 - loss 0.16373534 - time (sec): 287.31 - samples/sec: 2707.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:06:53,518 epoch 126 - iter 2082/6941 - loss 0.16461588 - time (sec): 432.88 - samples/sec: 2688.38 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:09:18,092 epoch 126 - iter 2776/6941 - loss 0.16417211 - time (sec): 577.46 - samples/sec: 2683.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:11:45,377 epoch 126 - iter 3470/6941 - loss 0.16402918 - time (sec): 724.74 - samples/sec: 2677.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:14:10,399 epoch 126 - iter 4164/6941 - loss 0.16417620 - time (sec): 869.77 - samples/sec: 2677.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:16:33,467 epoch 126 - iter 4858/6941 - loss 0.16413876 - time (sec): 1012.83 - samples/sec: 2682.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:18:57,837 epoch 126 - iter 5552/6941 - loss 0.16429158 - time (sec): 1157.20 - samples/sec: 2683.01 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:21:24,833 epoch 126 - iter 6246/6941 - loss 0.16431915 - time (sec): 1304.20 - samples/sec: 2679.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:23:48,572 epoch 126 - iter 6940/6941 - loss 0.16460710 - time (sec): 1447.94 - samples/sec: 2679.85 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:23:48,681 ----------------------------------------------------------------------------------------------------
+2024-03-15 02:23:48,682 EPOCH 126 done: loss 0.1646 - lr: 0.050000
+2024-03-15 02:23:48,682  - 0 epochs without improvement
+2024-03-15 02:23:48,682 ----------------------------------------------------------------------------------------------------
+2024-03-15 02:26:14,613 epoch 127 - iter 694/6941 - loss 0.16343734 - time (sec): 145.93 - samples/sec: 2658.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:28:36,216 epoch 127 - iter 1388/6941 - loss 0.16402386 - time (sec): 287.53 - samples/sec: 2700.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:31:01,783 epoch 127 - iter 2082/6941 - loss 0.16445012 - time (sec): 433.10 - samples/sec: 2690.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:33:25,909 epoch 127 - iter 2776/6941 - loss 0.16398137 - time (sec): 577.23 - samples/sec: 2692.68 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:35:50,649 epoch 127 - iter 3470/6941 - loss 0.16399634 - time (sec): 721.97 - samples/sec: 2688.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:38:12,208 epoch 127 - iter 4164/6941 - loss 0.16380036 - time (sec): 863.53 - samples/sec: 2694.44 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:40:36,720 epoch 127 - iter 4858/6941 - loss 0.16386430 - time (sec): 1008.04 - samples/sec: 2689.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:43:01,804 epoch 127 - iter 5552/6941 - loss 0.16405479 - time (sec): 1153.12 - samples/sec: 2687.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:45:29,249 epoch 127 - iter 6246/6941 - loss 0.16412766 - time (sec): 1300.57 - samples/sec: 2685.80 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:47:53,128 epoch 127 - iter 6940/6941 - loss 0.16410483 - time (sec): 1444.45 - samples/sec: 2686.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:47:53,214 ----------------------------------------------------------------------------------------------------
+2024-03-15 02:47:53,214 EPOCH 127 done: loss 0.1641 - lr: 0.050000
+2024-03-15 02:47:53,214  - 0 epochs without improvement
+2024-03-15 02:47:53,214 ----------------------------------------------------------------------------------------------------
+2024-03-15 02:50:19,089 epoch 128 - iter 694/6941 - loss 0.16337680 - time (sec): 145.87 - samples/sec: 2679.63 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:52:45,042 epoch 128 - iter 1388/6941 - loss 0.16303627 - time (sec): 291.83 - samples/sec: 2671.77 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:55:09,078 epoch 128 - iter 2082/6941 - loss 0.16338572 - time (sec): 435.86 - samples/sec: 2680.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:57:32,407 epoch 128 - iter 2776/6941 - loss 0.16391054 - time (sec): 579.19 - samples/sec: 2683.95 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 02:59:57,933 epoch 128 - iter 3470/6941 - loss 0.16425552 - time (sec): 724.72 - samples/sec: 2682.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:02:24,273 epoch 128 - iter 4164/6941 - loss 0.16417097 - time (sec): 871.06 - samples/sec: 2676.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:04:49,153 epoch 128 - iter 4858/6941 - loss 0.16403001 - time (sec): 1015.94 - samples/sec: 2677.51 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:07:10,303 epoch 128 - iter 5552/6941 - loss 0.16403993 - time (sec): 1157.09 - samples/sec: 2683.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:09:36,246 epoch 128 - iter 6246/6941 - loss 0.16417229 - time (sec): 1303.03 - samples/sec: 2680.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:11:58,658 epoch 128 - iter 6940/6941 - loss 0.16408630 - time (sec): 1445.44 - samples/sec: 2684.50 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:11:58,720 ----------------------------------------------------------------------------------------------------
+2024-03-15 03:11:58,720 EPOCH 128 done: loss 0.1641 - lr: 0.050000
+2024-03-15 03:11:58,720  - 0 epochs without improvement
+2024-03-15 03:11:58,720 ----------------------------------------------------------------------------------------------------
+2024-03-15 03:14:23,200 epoch 129 - iter 694/6941 - loss 0.16505233 - time (sec): 144.48 - samples/sec: 2687.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:16:46,913 epoch 129 - iter 1388/6941 - loss 0.16471956 - time (sec): 288.19 - samples/sec: 2691.43 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:19:12,893 epoch 129 - iter 2082/6941 - loss 0.16411101 - time (sec): 434.17 - samples/sec: 2676.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:21:36,167 epoch 129 - iter 2776/6941 - loss 0.16404563 - time (sec): 577.45 - samples/sec: 2683.24 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:24:01,499 epoch 129 - iter 3470/6941 - loss 0.16378253 - time (sec): 722.78 - samples/sec: 2679.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:26:26,231 epoch 129 - iter 4164/6941 - loss 0.16375753 - time (sec): 867.51 - samples/sec: 2680.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:28:50,513 epoch 129 - iter 4858/6941 - loss 0.16400821 - time (sec): 1011.79 - samples/sec: 2682.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:31:16,581 epoch 129 - iter 5552/6941 - loss 0.16391348 - time (sec): 1157.86 - samples/sec: 2680.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:33:41,936 epoch 129 - iter 6246/6941 - loss 0.16399604 - time (sec): 1303.22 - samples/sec: 2678.09 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:36:06,336 epoch 129 - iter 6940/6941 - loss 0.16423129 - time (sec): 1447.62 - samples/sec: 2680.45 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:36:06,422 ----------------------------------------------------------------------------------------------------
+2024-03-15 03:36:06,422 EPOCH 129 done: loss 0.1642 - lr: 0.050000
+2024-03-15 03:36:06,422  - 1 epochs without improvement
+2024-03-15 03:36:06,422 ----------------------------------------------------------------------------------------------------
+2024-03-15 03:38:30,665 epoch 130 - iter 694/6941 - loss 0.16425213 - time (sec): 144.24 - samples/sec: 2695.89 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:40:52,052 epoch 130 - iter 1388/6941 - loss 0.16359325 - time (sec): 285.63 - samples/sec: 2714.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:43:15,468 epoch 130 - iter 2082/6941 - loss 0.16364825 - time (sec): 429.05 - samples/sec: 2706.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:45:43,921 epoch 130 - iter 2776/6941 - loss 0.16312923 - time (sec): 577.50 - samples/sec: 2686.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:48:07,501 epoch 130 - iter 3470/6941 - loss 0.16322771 - time (sec): 721.08 - samples/sec: 2687.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:50:33,906 epoch 130 - iter 4164/6941 - loss 0.16312754 - time (sec): 867.48 - samples/sec: 2682.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:52:57,475 epoch 130 - iter 4858/6941 - loss 0.16318639 - time (sec): 1011.05 - samples/sec: 2683.43 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:55:25,167 epoch 130 - iter 5552/6941 - loss 0.16325617 - time (sec): 1158.75 - samples/sec: 2677.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 03:57:47,400 epoch 130 - iter 6246/6941 - loss 0.16354538 - time (sec): 1300.98 - samples/sec: 2682.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:00:12,828 epoch 130 - iter 6940/6941 - loss 0.16373190 - time (sec): 1446.41 - samples/sec: 2682.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:00:12,938 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:00:12,938 EPOCH 130 done: loss 0.1637 - lr: 0.050000
+2024-03-15 04:00:12,939  - 0 epochs without improvement
+2024-03-15 04:00:12,939 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:02:38,844 epoch 131 - iter 694/6941 - loss 0.16310838 - time (sec): 145.90 - samples/sec: 2675.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:05:02,878 epoch 131 - iter 1388/6941 - loss 0.16410433 - time (sec): 289.94 - samples/sec: 2676.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:07:25,824 epoch 131 - iter 2082/6941 - loss 0.16353488 - time (sec): 432.89 - samples/sec: 2687.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:09:50,703 epoch 131 - iter 2776/6941 - loss 0.16344433 - time (sec): 577.76 - samples/sec: 2682.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:12:12,607 epoch 131 - iter 3470/6941 - loss 0.16365111 - time (sec): 719.67 - samples/sec: 2691.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:14:38,004 epoch 131 - iter 4164/6941 - loss 0.16336456 - time (sec): 865.07 - samples/sec: 2686.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:17:02,403 epoch 131 - iter 4858/6941 - loss 0.16351547 - time (sec): 1009.46 - samples/sec: 2688.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:19:25,686 epoch 131 - iter 5552/6941 - loss 0.16350661 - time (sec): 1152.75 - samples/sec: 2690.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:21:50,233 epoch 131 - iter 6246/6941 - loss 0.16349827 - time (sec): 1297.29 - samples/sec: 2690.54 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:24:17,511 epoch 131 - iter 6940/6941 - loss 0.16366242 - time (sec): 1444.57 - samples/sec: 2686.09 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:24:17,600 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:24:17,600 EPOCH 131 done: loss 0.1637 - lr: 0.050000
+2024-03-15 04:24:17,600  - 0 epochs without improvement
+2024-03-15 04:24:17,600 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:26:41,572 epoch 132 - iter 694/6941 - loss 0.16298342 - time (sec): 143.97 - samples/sec: 2675.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:29:05,654 epoch 132 - iter 1388/6941 - loss 0.16401148 - time (sec): 288.05 - samples/sec: 2681.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:31:32,920 epoch 132 - iter 2082/6941 - loss 0.16369769 - time (sec): 435.32 - samples/sec: 2667.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:33:56,983 epoch 132 - iter 2776/6941 - loss 0.16270711 - time (sec): 579.38 - samples/sec: 2675.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:36:22,703 epoch 132 - iter 3470/6941 - loss 0.16290439 - time (sec): 725.10 - samples/sec: 2671.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:38:47,522 epoch 132 - iter 4164/6941 - loss 0.16299469 - time (sec): 869.92 - samples/sec: 2671.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:41:11,932 epoch 132 - iter 4858/6941 - loss 0.16334002 - time (sec): 1014.33 - samples/sec: 2673.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:43:38,060 epoch 132 - iter 5552/6941 - loss 0.16338467 - time (sec): 1160.46 - samples/sec: 2674.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:46:00,381 epoch 132 - iter 6246/6941 - loss 0.16317001 - time (sec): 1302.78 - samples/sec: 2680.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:48:23,235 epoch 132 - iter 6940/6941 - loss 0.16321481 - time (sec): 1445.64 - samples/sec: 2684.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:48:23,344 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:48:23,344 EPOCH 132 done: loss 0.1632 - lr: 0.050000
+2024-03-15 04:48:23,344  - 0 epochs without improvement
+2024-03-15 04:48:23,344 ----------------------------------------------------------------------------------------------------
+2024-03-15 04:50:46,349 epoch 133 - iter 694/6941 - loss 0.16333033 - time (sec): 143.00 - samples/sec: 2711.76 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:53:11,961 epoch 133 - iter 1388/6941 - loss 0.16347984 - time (sec): 288.62 - samples/sec: 2692.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:55:35,509 epoch 133 - iter 2082/6941 - loss 0.16332833 - time (sec): 432.16 - samples/sec: 2697.99 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 04:58:00,609 epoch 133 - iter 2776/6941 - loss 0.16345583 - time (sec): 577.26 - samples/sec: 2692.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:00:26,557 epoch 133 - iter 3470/6941 - loss 0.16308048 - time (sec): 723.21 - samples/sec: 2686.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:02:53,308 epoch 133 - iter 4164/6941 - loss 0.16289460 - time (sec): 869.96 - samples/sec: 2679.37 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:05:19,143 epoch 133 - iter 4858/6941 - loss 0.16318005 - time (sec): 1015.80 - samples/sec: 2676.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:07:42,822 epoch 133 - iter 5552/6941 - loss 0.16339968 - time (sec): 1159.48 - samples/sec: 2677.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:10:06,136 epoch 133 - iter 6246/6941 - loss 0.16325279 - time (sec): 1302.79 - samples/sec: 2681.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:12:29,486 epoch 133 - iter 6940/6941 - loss 0.16325858 - time (sec): 1446.14 - samples/sec: 2683.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:12:29,606 ----------------------------------------------------------------------------------------------------
+2024-03-15 05:12:29,606 EPOCH 133 done: loss 0.1633 - lr: 0.050000
+2024-03-15 05:12:29,606  - 1 epochs without improvement
+2024-03-15 05:12:29,606 ----------------------------------------------------------------------------------------------------
+2024-03-15 05:14:54,753 epoch 134 - iter 694/6941 - loss 0.16516500 - time (sec): 145.15 - samples/sec: 2664.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:17:22,032 epoch 134 - iter 1388/6941 - loss 0.16335456 - time (sec): 292.43 - samples/sec: 2651.80 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:19:46,793 epoch 134 - iter 2082/6941 - loss 0.16326146 - time (sec): 437.19 - samples/sec: 2663.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:22:09,210 epoch 134 - iter 2776/6941 - loss 0.16288342 - time (sec): 579.60 - samples/sec: 2680.54 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:24:32,744 epoch 134 - iter 3470/6941 - loss 0.16245403 - time (sec): 723.14 - samples/sec: 2680.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:26:59,643 epoch 134 - iter 4164/6941 - loss 0.16244367 - time (sec): 870.04 - samples/sec: 2674.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:29:21,667 epoch 134 - iter 4858/6941 - loss 0.16252445 - time (sec): 1012.06 - samples/sec: 2681.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:31:46,549 epoch 134 - iter 5552/6941 - loss 0.16240165 - time (sec): 1156.94 - samples/sec: 2681.42 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:34:12,365 epoch 134 - iter 6246/6941 - loss 0.16264859 - time (sec): 1302.76 - samples/sec: 2680.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:36:36,727 epoch 134 - iter 6940/6941 - loss 0.16290934 - time (sec): 1447.12 - samples/sec: 2681.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:36:36,779 ----------------------------------------------------------------------------------------------------
+2024-03-15 05:36:36,779 EPOCH 134 done: loss 0.1629 - lr: 0.050000
+2024-03-15 05:36:36,779  - 0 epochs without improvement
+2024-03-15 05:36:36,779 ----------------------------------------------------------------------------------------------------
+2024-03-15 05:39:00,639 epoch 135 - iter 694/6941 - loss 0.16151276 - time (sec): 143.86 - samples/sec: 2693.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:41:26,754 epoch 135 - iter 1388/6941 - loss 0.16208236 - time (sec): 289.97 - samples/sec: 2684.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:43:50,323 epoch 135 - iter 2082/6941 - loss 0.16250126 - time (sec): 433.54 - samples/sec: 2689.48 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:46:17,035 epoch 135 - iter 2776/6941 - loss 0.16214349 - time (sec): 580.26 - samples/sec: 2682.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:48:40,250 epoch 135 - iter 3470/6941 - loss 0.16229291 - time (sec): 723.47 - samples/sec: 2685.59 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:51:04,495 epoch 135 - iter 4164/6941 - loss 0.16233153 - time (sec): 867.72 - samples/sec: 2683.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:53:27,773 epoch 135 - iter 4858/6941 - loss 0.16227808 - time (sec): 1010.99 - samples/sec: 2688.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:55:52,558 epoch 135 - iter 5552/6941 - loss 0.16275543 - time (sec): 1155.78 - samples/sec: 2687.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 05:58:16,484 epoch 135 - iter 6246/6941 - loss 0.16276769 - time (sec): 1299.70 - samples/sec: 2688.45 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:00:40,758 epoch 135 - iter 6940/6941 - loss 0.16288297 - time (sec): 1443.98 - samples/sec: 2687.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:00:40,824 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:00:40,824 EPOCH 135 done: loss 0.1629 - lr: 0.050000
+2024-03-15 06:00:40,824  - 0 epochs without improvement
+2024-03-15 06:00:40,824 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:03:03,553 epoch 136 - iter 694/6941 - loss 0.16078920 - time (sec): 142.73 - samples/sec: 2698.02 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:05:27,809 epoch 136 - iter 1388/6941 - loss 0.16302482 - time (sec): 286.98 - samples/sec: 2688.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:07:51,382 epoch 136 - iter 2082/6941 - loss 0.16431744 - time (sec): 430.56 - samples/sec: 2696.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:10:18,336 epoch 136 - iter 2776/6941 - loss 0.16392080 - time (sec): 577.51 - samples/sec: 2685.15 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:12:41,979 epoch 136 - iter 3470/6941 - loss 0.16318837 - time (sec): 721.16 - samples/sec: 2690.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:15:07,052 epoch 136 - iter 4164/6941 - loss 0.16286451 - time (sec): 866.23 - samples/sec: 2688.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:17:33,117 epoch 136 - iter 4858/6941 - loss 0.16304440 - time (sec): 1012.29 - samples/sec: 2683.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:19:55,655 epoch 136 - iter 5552/6941 - loss 0.16288617 - time (sec): 1154.83 - samples/sec: 2686.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:22:20,870 epoch 136 - iter 6246/6941 - loss 0.16242642 - time (sec): 1300.05 - samples/sec: 2686.49 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:24:46,425 epoch 136 - iter 6940/6941 - loss 0.16260926 - time (sec): 1445.60 - samples/sec: 2684.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:24:46,533 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:24:46,533 EPOCH 136 done: loss 0.1626 - lr: 0.050000
+2024-03-15 06:24:46,533  - 0 epochs without improvement
+2024-03-15 06:24:46,533 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:27:10,874 epoch 137 - iter 694/6941 - loss 0.16083950 - time (sec): 144.34 - samples/sec: 2686.30 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:29:35,551 epoch 137 - iter 1388/6941 - loss 0.16197132 - time (sec): 289.02 - samples/sec: 2681.77 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:32:00,492 epoch 137 - iter 2082/6941 - loss 0.16198010 - time (sec): 433.96 - samples/sec: 2675.03 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:34:23,260 epoch 137 - iter 2776/6941 - loss 0.16201472 - time (sec): 576.73 - samples/sec: 2682.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:36:49,005 epoch 137 - iter 3470/6941 - loss 0.16223480 - time (sec): 722.47 - samples/sec: 2680.86 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:39:14,273 epoch 137 - iter 4164/6941 - loss 0.16177839 - time (sec): 867.74 - samples/sec: 2683.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:41:39,377 epoch 137 - iter 4858/6941 - loss 0.16219549 - time (sec): 1012.84 - samples/sec: 2682.16 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:44:03,845 epoch 137 - iter 5552/6941 - loss 0.16234485 - time (sec): 1157.31 - samples/sec: 2683.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:46:28,274 epoch 137 - iter 6246/6941 - loss 0.16234603 - time (sec): 1301.74 - samples/sec: 2682.61 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:48:53,194 epoch 137 - iter 6940/6941 - loss 0.16255247 - time (sec): 1446.66 - samples/sec: 2682.20 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:48:53,330 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:48:53,330 EPOCH 137 done: loss 0.1626 - lr: 0.050000
+2024-03-15 06:48:53,330  - 0 epochs without improvement
+2024-03-15 06:48:53,331 ----------------------------------------------------------------------------------------------------
+2024-03-15 06:51:18,328 epoch 138 - iter 694/6941 - loss 0.16237530 - time (sec): 145.00 - samples/sec: 2671.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:53:42,005 epoch 138 - iter 1388/6941 - loss 0.16172020 - time (sec): 288.67 - samples/sec: 2676.84 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:56:06,240 epoch 138 - iter 2082/6941 - loss 0.16176467 - time (sec): 432.91 - samples/sec: 2687.42 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 06:58:30,858 epoch 138 - iter 2776/6941 - loss 0.16175038 - time (sec): 577.53 - samples/sec: 2688.77 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:00:57,220 epoch 138 - iter 3470/6941 - loss 0.16183681 - time (sec): 723.89 - samples/sec: 2682.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:03:24,081 epoch 138 - iter 4164/6941 - loss 0.16202457 - time (sec): 870.75 - samples/sec: 2678.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:05:47,311 epoch 138 - iter 4858/6941 - loss 0.16225423 - time (sec): 1013.98 - samples/sec: 2682.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:08:10,137 epoch 138 - iter 5552/6941 - loss 0.16248133 - time (sec): 1156.81 - samples/sec: 2683.89 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:10:34,346 epoch 138 - iter 6246/6941 - loss 0.16247455 - time (sec): 1301.02 - samples/sec: 2685.24 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:12:58,595 epoch 138 - iter 6940/6941 - loss 0.16245261 - time (sec): 1445.26 - samples/sec: 2684.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:12:58,695 ----------------------------------------------------------------------------------------------------
+2024-03-15 07:12:58,695 EPOCH 138 done: loss 0.1625 - lr: 0.050000
+2024-03-15 07:12:58,695  - 0 epochs without improvement
+2024-03-15 07:12:58,695 ----------------------------------------------------------------------------------------------------
+2024-03-15 07:15:20,574 epoch 139 - iter 694/6941 - loss 0.16133068 - time (sec): 141.88 - samples/sec: 2719.50 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:17:45,479 epoch 139 - iter 1388/6941 - loss 0.16151947 - time (sec): 286.78 - samples/sec: 2701.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:20:12,349 epoch 139 - iter 2082/6941 - loss 0.16205303 - time (sec): 433.65 - samples/sec: 2682.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:22:35,446 epoch 139 - iter 2776/6941 - loss 0.16165141 - time (sec): 576.75 - samples/sec: 2688.81 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:24:59,004 epoch 139 - iter 3470/6941 - loss 0.16195382 - time (sec): 720.31 - samples/sec: 2690.43 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:27:24,962 epoch 139 - iter 4164/6941 - loss 0.16194197 - time (sec): 866.27 - samples/sec: 2685.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:29:49,607 epoch 139 - iter 4858/6941 - loss 0.16181223 - time (sec): 1010.91 - samples/sec: 2685.82 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:32:14,079 epoch 139 - iter 5552/6941 - loss 0.16184570 - time (sec): 1155.38 - samples/sec: 2685.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:34:37,627 epoch 139 - iter 6246/6941 - loss 0.16193357 - time (sec): 1298.93 - samples/sec: 2688.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:37:01,867 epoch 139 - iter 6940/6941 - loss 0.16174011 - time (sec): 1443.17 - samples/sec: 2688.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:37:01,972 ----------------------------------------------------------------------------------------------------
+2024-03-15 07:37:01,972 EPOCH 139 done: loss 0.1617 - lr: 0.050000
+2024-03-15 07:37:01,972  - 0 epochs without improvement
+2024-03-15 07:37:01,972 ----------------------------------------------------------------------------------------------------
+2024-03-15 07:39:29,099 epoch 140 - iter 694/6941 - loss 0.16186698 - time (sec): 147.13 - samples/sec: 2653.08 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:41:55,472 epoch 140 - iter 1388/6941 - loss 0.16199560 - time (sec): 293.50 - samples/sec: 2654.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:44:18,792 epoch 140 - iter 2082/6941 - loss 0.16184070 - time (sec): 436.82 - samples/sec: 2669.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:46:42,502 epoch 140 - iter 2776/6941 - loss 0.16278117 - time (sec): 580.53 - samples/sec: 2675.14 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:49:05,627 epoch 140 - iter 3470/6941 - loss 0.16198883 - time (sec): 723.66 - samples/sec: 2678.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:51:30,179 epoch 140 - iter 4164/6941 - loss 0.16194440 - time (sec): 868.21 - samples/sec: 2683.85 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:53:54,519 epoch 140 - iter 4858/6941 - loss 0.16186213 - time (sec): 1012.55 - samples/sec: 2683.60 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:56:19,605 epoch 140 - iter 5552/6941 - loss 0.16182716 - time (sec): 1157.63 - samples/sec: 2681.67 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 07:58:44,205 epoch 140 - iter 6246/6941 - loss 0.16194326 - time (sec): 1302.23 - samples/sec: 2681.84 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:01:07,870 epoch 140 - iter 6940/6941 - loss 0.16198593 - time (sec): 1445.90 - samples/sec: 2683.62 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:01:07,983 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:01:07,983 EPOCH 140 done: loss 0.1620 - lr: 0.050000
+2024-03-15 08:01:07,983  - 1 epochs without improvement
+2024-03-15 08:01:07,983 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:03:33,224 epoch 141 - iter 694/6941 - loss 0.16095707 - time (sec): 145.24 - samples/sec: 2681.89 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:05:56,784 epoch 141 - iter 1388/6941 - loss 0.16013803 - time (sec): 288.80 - samples/sec: 2683.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:08:19,238 epoch 141 - iter 2082/6941 - loss 0.16069585 - time (sec): 431.25 - samples/sec: 2693.40 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:10:40,577 epoch 141 - iter 2776/6941 - loss 0.16108512 - time (sec): 572.59 - samples/sec: 2703.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:13:03,971 epoch 141 - iter 3470/6941 - loss 0.16115170 - time (sec): 715.99 - samples/sec: 2704.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:15:32,097 epoch 141 - iter 4164/6941 - loss 0.16157147 - time (sec): 864.11 - samples/sec: 2690.34 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:17:56,081 epoch 141 - iter 4858/6941 - loss 0.16178256 - time (sec): 1008.10 - samples/sec: 2689.01 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:20:20,706 epoch 141 - iter 5552/6941 - loss 0.16174668 - time (sec): 1152.72 - samples/sec: 2688.61 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:22:49,808 epoch 141 - iter 6246/6941 - loss 0.16170122 - time (sec): 1301.82 - samples/sec: 2681.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:25:13,715 epoch 141 - iter 6940/6941 - loss 0.16191522 - time (sec): 1445.73 - samples/sec: 2683.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:25:13,928 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:25:13,928 EPOCH 141 done: loss 0.1619 - lr: 0.050000
+2024-03-15 08:25:13,928  - 2 epochs without improvement
+2024-03-15 08:25:13,928 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:27:40,757 epoch 142 - iter 694/6941 - loss 0.16167104 - time (sec): 146.83 - samples/sec: 2644.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:30:06,068 epoch 142 - iter 1388/6941 - loss 0.16268315 - time (sec): 292.14 - samples/sec: 2663.28 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:32:32,033 epoch 142 - iter 2082/6941 - loss 0.16189423 - time (sec): 438.10 - samples/sec: 2666.56 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:34:57,587 epoch 142 - iter 2776/6941 - loss 0.16189286 - time (sec): 583.66 - samples/sec: 2666.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:37:20,240 epoch 142 - iter 3470/6941 - loss 0.16216937 - time (sec): 726.31 - samples/sec: 2676.79 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:39:43,750 epoch 142 - iter 4164/6941 - loss 0.16230561 - time (sec): 869.82 - samples/sec: 2680.24 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:42:09,779 epoch 142 - iter 4858/6941 - loss 0.16193226 - time (sec): 1015.85 - samples/sec: 2676.76 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:44:33,918 epoch 142 - iter 5552/6941 - loss 0.16170809 - time (sec): 1159.99 - samples/sec: 2679.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:46:55,931 epoch 142 - iter 6246/6941 - loss 0.16187232 - time (sec): 1302.00 - samples/sec: 2684.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:49:18,634 epoch 142 - iter 6940/6941 - loss 0.16171242 - time (sec): 1444.71 - samples/sec: 2685.85 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:49:18,730 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:49:18,730 EPOCH 142 done: loss 0.1617 - lr: 0.050000
+2024-03-15 08:49:18,730  - 0 epochs without improvement
+2024-03-15 08:49:18,730 ----------------------------------------------------------------------------------------------------
+2024-03-15 08:51:40,193 epoch 143 - iter 694/6941 - loss 0.15836538 - time (sec): 141.46 - samples/sec: 2732.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:54:02,556 epoch 143 - iter 1388/6941 - loss 0.16054588 - time (sec): 283.83 - samples/sec: 2721.53 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:56:26,414 epoch 143 - iter 2082/6941 - loss 0.16052162 - time (sec): 427.68 - samples/sec: 2710.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 08:58:51,762 epoch 143 - iter 2776/6941 - loss 0.16079206 - time (sec): 573.03 - samples/sec: 2704.70 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:01:16,055 epoch 143 - iter 3470/6941 - loss 0.16125781 - time (sec): 717.33 - samples/sec: 2698.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:03:40,865 epoch 143 - iter 4164/6941 - loss 0.16124947 - time (sec): 862.13 - samples/sec: 2695.92 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:06:05,688 epoch 143 - iter 4858/6941 - loss 0.16110717 - time (sec): 1006.96 - samples/sec: 2692.36 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:08:30,167 epoch 143 - iter 5552/6941 - loss 0.16155701 - time (sec): 1151.44 - samples/sec: 2694.54 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:10:55,303 epoch 143 - iter 6246/6941 - loss 0.16167784 - time (sec): 1296.57 - samples/sec: 2691.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:13:22,115 epoch 143 - iter 6940/6941 - loss 0.16157951 - time (sec): 1443.38 - samples/sec: 2688.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:13:22,195 ----------------------------------------------------------------------------------------------------
+2024-03-15 09:13:22,195 EPOCH 143 done: loss 0.1616 - lr: 0.050000
+2024-03-15 09:13:22,195  - 0 epochs without improvement
+2024-03-15 09:13:22,195 ----------------------------------------------------------------------------------------------------
+2024-03-15 09:15:48,213 epoch 144 - iter 694/6941 - loss 0.16116662 - time (sec): 146.02 - samples/sec: 2654.32 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:18:12,232 epoch 144 - iter 1388/6941 - loss 0.16104223 - time (sec): 290.04 - samples/sec: 2673.04 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:20:34,457 epoch 144 - iter 2082/6941 - loss 0.16184660 - time (sec): 432.26 - samples/sec: 2684.25 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:23:00,488 epoch 144 - iter 2776/6941 - loss 0.16136202 - time (sec): 578.29 - samples/sec: 2678.47 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:25:25,744 epoch 144 - iter 3470/6941 - loss 0.16120679 - time (sec): 723.55 - samples/sec: 2675.51 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:27:49,742 epoch 144 - iter 4164/6941 - loss 0.16085356 - time (sec): 867.55 - samples/sec: 2679.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:30:15,309 epoch 144 - iter 4858/6941 - loss 0.16084307 - time (sec): 1013.11 - samples/sec: 2679.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:32:40,871 epoch 144 - iter 5552/6941 - loss 0.16086486 - time (sec): 1158.68 - samples/sec: 2678.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:35:02,933 epoch 144 - iter 6246/6941 - loss 0.16097361 - time (sec): 1300.74 - samples/sec: 2685.21 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:37:28,430 epoch 144 - iter 6940/6941 - loss 0.16126085 - time (sec): 1446.24 - samples/sec: 2682.98 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:37:28,580 ----------------------------------------------------------------------------------------------------
+2024-03-15 09:37:28,580 EPOCH 144 done: loss 0.1613 - lr: 0.050000
+2024-03-15 09:37:28,581  - 0 epochs without improvement
+2024-03-15 09:37:28,581 ----------------------------------------------------------------------------------------------------
+2024-03-15 09:39:53,433 epoch 145 - iter 694/6941 - loss 0.16044116 - time (sec): 144.85 - samples/sec: 2694.74 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:42:20,067 epoch 145 - iter 1388/6941 - loss 0.16060110 - time (sec): 291.49 - samples/sec: 2674.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:44:46,318 epoch 145 - iter 2082/6941 - loss 0.15998539 - time (sec): 437.74 - samples/sec: 2663.52 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:47:12,689 epoch 145 - iter 2776/6941 - loss 0.16029074 - time (sec): 584.11 - samples/sec: 2661.75 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:49:37,811 epoch 145 - iter 3470/6941 - loss 0.16031027 - time (sec): 729.23 - samples/sec: 2663.57 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:52:00,657 epoch 145 - iter 4164/6941 - loss 0.16053851 - time (sec): 872.08 - samples/sec: 2671.18 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:54:23,228 epoch 145 - iter 4858/6941 - loss 0.16033454 - time (sec): 1014.65 - samples/sec: 2678.39 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:56:45,031 epoch 145 - iter 5552/6941 - loss 0.16039123 - time (sec): 1156.45 - samples/sec: 2683.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 09:59:08,902 epoch 145 - iter 6246/6941 - loss 0.16062700 - time (sec): 1300.32 - samples/sec: 2684.89 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:01:34,430 epoch 145 - iter 6940/6941 - loss 0.16065099 - time (sec): 1445.85 - samples/sec: 2683.74 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:01:34,486 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:01:34,486 EPOCH 145 done: loss 0.1606 - lr: 0.050000
+2024-03-15 10:01:34,487  - 0 epochs without improvement
+2024-03-15 10:01:34,487 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:03:57,626 epoch 146 - iter 694/6941 - loss 0.16196572 - time (sec): 143.14 - samples/sec: 2701.62 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:06:19,963 epoch 146 - iter 1388/6941 - loss 0.16115636 - time (sec): 285.48 - samples/sec: 2714.33 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:08:47,538 epoch 146 - iter 2082/6941 - loss 0.16129289 - time (sec): 433.05 - samples/sec: 2696.04 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:11:11,138 epoch 146 - iter 2776/6941 - loss 0.16145645 - time (sec): 576.65 - samples/sec: 2696.55 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:13:33,369 epoch 146 - iter 3470/6941 - loss 0.16154913 - time (sec): 718.88 - samples/sec: 2702.73 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:15:58,157 epoch 146 - iter 4164/6941 - loss 0.16171283 - time (sec): 863.67 - samples/sec: 2695.64 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:18:26,187 epoch 146 - iter 4858/6941 - loss 0.16157180 - time (sec): 1011.70 - samples/sec: 2684.90 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:20:51,613 epoch 146 - iter 5552/6941 - loss 0.16151352 - time (sec): 1157.13 - samples/sec: 2682.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:23:16,033 epoch 146 - iter 6246/6941 - loss 0.16132409 - time (sec): 1301.55 - samples/sec: 2682.10 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:25:39,956 epoch 146 - iter 6940/6941 - loss 0.16121110 - time (sec): 1445.47 - samples/sec: 2684.44 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:25:40,034 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:25:40,034 EPOCH 146 done: loss 0.1612 - lr: 0.050000
+2024-03-15 10:25:40,034  - 1 epochs without improvement
+2024-03-15 10:25:40,034 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:28:04,123 epoch 147 - iter 694/6941 - loss 0.16016895 - time (sec): 144.09 - samples/sec: 2693.42 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:30:29,169 epoch 147 - iter 1388/6941 - loss 0.16098274 - time (sec): 289.13 - samples/sec: 2694.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:32:54,751 epoch 147 - iter 2082/6941 - loss 0.16099617 - time (sec): 434.72 - samples/sec: 2686.17 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:35:21,124 epoch 147 - iter 2776/6941 - loss 0.16105982 - time (sec): 581.09 - samples/sec: 2676.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:37:45,916 epoch 147 - iter 3470/6941 - loss 0.16133650 - time (sec): 725.88 - samples/sec: 2676.69 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:40:08,627 epoch 147 - iter 4164/6941 - loss 0.16128337 - time (sec): 868.59 - samples/sec: 2680.58 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:42:30,630 epoch 147 - iter 4858/6941 - loss 0.16105769 - time (sec): 1010.60 - samples/sec: 2684.61 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:44:56,442 epoch 147 - iter 5552/6941 - loss 0.16105859 - time (sec): 1156.41 - samples/sec: 2682.65 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:47:21,580 epoch 147 - iter 6246/6941 - loss 0.16089649 - time (sec): 1301.55 - samples/sec: 2682.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:49:46,124 epoch 147 - iter 6940/6941 - loss 0.16106036 - time (sec): 1446.09 - samples/sec: 2683.29 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:49:46,188 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:49:46,188 EPOCH 147 done: loss 0.1611 - lr: 0.050000
+2024-03-15 10:49:46,188  - 2 epochs without improvement
+2024-03-15 10:49:46,188 ----------------------------------------------------------------------------------------------------
+2024-03-15 10:52:11,717 epoch 148 - iter 694/6941 - loss 0.16130483 - time (sec): 145.53 - samples/sec: 2671.07 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:54:34,586 epoch 148 - iter 1388/6941 - loss 0.16022024 - time (sec): 288.40 - samples/sec: 2692.41 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:56:59,849 epoch 148 - iter 2082/6941 - loss 0.16055695 - time (sec): 433.66 - samples/sec: 2683.99 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 10:59:23,522 epoch 148 - iter 2776/6941 - loss 0.16069553 - time (sec): 577.33 - samples/sec: 2689.26 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:01:46,837 epoch 148 - iter 3470/6941 - loss 0.16048789 - time (sec): 720.65 - samples/sec: 2691.94 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:04:09,260 epoch 148 - iter 4164/6941 - loss 0.16061491 - time (sec): 863.07 - samples/sec: 2696.48 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:06:34,947 epoch 148 - iter 4858/6941 - loss 0.16082870 - time (sec): 1008.76 - samples/sec: 2694.71 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:09:01,203 epoch 148 - iter 5552/6941 - loss 0.16077751 - time (sec): 1155.01 - samples/sec: 2689.42 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:11:27,909 epoch 148 - iter 6246/6941 - loss 0.16094310 - time (sec): 1301.72 - samples/sec: 2683.46 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:13:52,569 epoch 148 - iter 6940/6941 - loss 0.16083653 - time (sec): 1446.38 - samples/sec: 2682.73 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:13:52,696 ----------------------------------------------------------------------------------------------------
+2024-03-15 11:13:52,696 EPOCH 148 done: loss 0.1608 - lr: 0.050000
+2024-03-15 11:13:52,696  - 3 epochs without improvement
+2024-03-15 11:13:52,696 ----------------------------------------------------------------------------------------------------
+2024-03-15 11:16:17,173 epoch 149 - iter 694/6941 - loss 0.15990444 - time (sec): 144.48 - samples/sec: 2701.13 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:18:40,490 epoch 149 - iter 1388/6941 - loss 0.15999055 - time (sec): 287.79 - samples/sec: 2703.03 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:21:05,320 epoch 149 - iter 2082/6941 - loss 0.16025278 - time (sec): 432.62 - samples/sec: 2695.11 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:23:29,026 epoch 149 - iter 2776/6941 - loss 0.16039549 - time (sec): 576.33 - samples/sec: 2694.19 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:25:53,251 epoch 149 - iter 3470/6941 - loss 0.16010127 - time (sec): 720.55 - samples/sec: 2692.01 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:28:18,634 epoch 149 - iter 4164/6941 - loss 0.16018921 - time (sec): 865.94 - samples/sec: 2690.23 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:30:45,820 epoch 149 - iter 4858/6941 - loss 0.16027808 - time (sec): 1013.12 - samples/sec: 2684.35 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:33:09,517 epoch 149 - iter 5552/6941 - loss 0.16043023 - time (sec): 1156.82 - samples/sec: 2684.12 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:35:33,485 epoch 149 - iter 6246/6941 - loss 0.16060480 - time (sec): 1300.79 - samples/sec: 2685.87 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:37:56,284 epoch 149 - iter 6940/6941 - loss 0.16067361 - time (sec): 1443.59 - samples/sec: 2687.93 - lr: 0.050000 - momentum: 0.000000
+2024-03-15 11:37:56,354 ----------------------------------------------------------------------------------------------------
+2024-03-15 11:37:56,354 EPOCH 149 done: loss 0.1607 - lr: 0.050000
+2024-03-15 11:37:56,354  - 4 epochs without improvement (above 'patience')-> annealing learning_rate to [0.025]
+2024-03-15 11:37:56,355 ----------------------------------------------------------------------------------------------------
+2024-03-15 11:40:20,533 epoch 150 - iter 694/6941 - loss 0.15632495 - time (sec): 144.18 - samples/sec: 2701.55 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:42:43,562 epoch 150 - iter 1388/6941 - loss 0.15730717 - time (sec): 287.21 - samples/sec: 2704.42 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:45:10,324 epoch 150 - iter 2082/6941 - loss 0.15643632 - time (sec): 433.97 - samples/sec: 2690.08 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:47:34,581 epoch 150 - iter 2776/6941 - loss 0.15600140 - time (sec): 578.23 - samples/sec: 2689.70 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:49:56,392 epoch 150 - iter 3470/6941 - loss 0.15614776 - time (sec): 720.04 - samples/sec: 2696.27 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:52:21,859 epoch 150 - iter 4164/6941 - loss 0.15606489 - time (sec): 865.50 - samples/sec: 2693.09 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:54:49,385 epoch 150 - iter 4858/6941 - loss 0.15586966 - time (sec): 1013.03 - samples/sec: 2683.56 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:57:12,612 epoch 150 - iter 5552/6941 - loss 0.15564778 - time (sec): 1156.26 - samples/sec: 2687.88 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 11:59:36,755 epoch 150 - iter 6246/6941 - loss 0.15569879 - time (sec): 1300.40 - samples/sec: 2687.43 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 12:02:00,648 epoch 150 - iter 6940/6941 - loss 0.15577938 - time (sec): 1444.29 - samples/sec: 2686.60 - lr: 0.025000 - momentum: 0.000000
+2024-03-15 12:02:00,750 ----------------------------------------------------------------------------------------------------
+2024-03-15 12:02:00,750 EPOCH 150 done: loss 0.1558 - lr: 0.025000
+2024-03-15 12:02:00,750  - 0 epochs without improvement
+2024-03-15 12:02:01,084 ----------------------------------------------------------------------------------------------------
+2024-03-15 12:02:01,085 Testing using last state of model ...
+2024-03-15 12:03:19,664 
+Results:
+- F-score (micro) 0.9687
+- F-score (macro) 0.9334
+- Accuracy 0.9687
+
+By class:
+              precision    recall  f1-score   support
+
+        NOUN     0.9611    0.9682    0.9646     79422
+       PUNCT     0.9994    0.9990    0.9992     48408
+         ADP     0.9873    0.9883    0.9878     35234
+        VERB     0.9734    0.9601    0.9667     34775
+         ADJ     0.9518    0.9508    0.9513     33726
+         DET     0.9854    0.9902    0.9878     20585
+         ADV     0.9442    0.9212    0.9325     19083
+       PROPN     0.8953    0.9379    0.9161     17802
+        PRON     0.9776    0.9774    0.9775     16839
+         AUX     0.9678    0.9884    0.9780     14513
+       CCONJ     0.9812    0.9813    0.9812     12574
+         NUM     0.9870    0.9846    0.9858      7617
+       SCONJ     0.9698    0.9637    0.9667      6935
+        PART     0.9846    0.9095    0.9456      4001
+           X     0.8703    0.5394    0.6660      1281
+         SYM     0.8648    0.8600    0.8624       543
+        INTJ     0.8690    0.7374    0.7978       198
+
+    accuracy                         0.9687    353536
+   macro avg     0.9512    0.9210    0.9334    353536
+weighted avg     0.9687    0.9687    0.9685    353536
+
+2024-03-15 12:03:19,664 ----------------------------------------------------------------------------------------------------