Created
May 11, 2018 07:27
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PyTorch - Tiny-ImageNet
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| 2018-05-08 19:24:49,208 Loading stored model ... | |
| 2018-05-08 19:24:59,635 Loaded model successfully. | |
| 2018-05-08 19:24:59,636 Reading data... | |
| 2018-05-08 19:24:59,895 Loaded: data/tiny-imagenet-200/val | |
| 2018-05-08 19:25:03,391 Progress --- total: 32, correct: tensor(0) | |
| 2018-05-08 19:25:06,223 Progress --- total: 64, correct: tensor(0) | |
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| 2018-05-08 19:25:39,898 Progress --- total: 352, correct: tensor(0) | |
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| 2018-05-08 19:42:22,151 Progress --- total: 8480, correct: tensor(0) | |
| 2018-05-08 19:42:27,034 Progress --- total: 8512, correct: tensor(0) | |
| 2018-05-08 19:42:31,443 Progress --- total: 8544, correct: tensor(0) | |
| 2018-05-08 19:42:34,956 Progress --- total: 8576, correct: tensor(0) | |
| 2018-05-08 19:42:38,392 Progress --- total: 8608, correct: tensor(0) | |
| 2018-05-08 19:42:43,190 Progress --- total: 8640, correct: tensor(0) | |
| 2018-05-08 19:42:47,178 Progress --- total: 8672, correct: tensor(0) | |
| 2018-05-08 19:42:49,991 Progress --- total: 8704, correct: tensor(0) | |
| 2018-05-08 19:42:54,680 Progress --- total: 8736, correct: tensor(0) | |
| 2018-05-08 19:42:59,147 Progress --- total: 8768, correct: tensor(0) | |
| 2018-05-08 19:43:03,461 Progress --- total: 8800, correct: tensor(0) | |
| 2018-05-08 19:43:06,462 Progress --- total: 8832, correct: tensor(0) | |
| 2018-05-08 19:43:10,095 Progress --- total: 8864, correct: tensor(0) | |
| 2018-05-08 19:43:13,114 Progress --- total: 8896, correct: tensor(0) | |
| 2018-05-08 19:43:16,053 Progress --- total: 8928, correct: tensor(0) | |
| 2018-05-08 19:43:20,271 Progress --- total: 8960, correct: tensor(0) | |
| 2018-05-08 19:43:23,292 Progress --- total: 8992, correct: tensor(0) | |
| 2018-05-08 19:43:27,700 Progress --- total: 9024, correct: tensor(0) | |
| 2018-05-08 19:43:31,615 Progress --- total: 9056, correct: tensor(0) | |
| 2018-05-08 19:43:35,444 Progress --- total: 9088, correct: tensor(0) | |
| 2018-05-08 19:43:38,452 Progress --- total: 9120, correct: tensor(0) | |
| 2018-05-08 19:43:43,117 Progress --- total: 9152, correct: tensor(0) | |
| 2018-05-08 19:43:47,239 Progress --- total: 9184, correct: tensor(0) | |
| 2018-05-08 19:43:50,411 Progress --- total: 9216, correct: tensor(0) | |
| 2018-05-08 19:43:54,193 Progress --- total: 9248, correct: tensor(0) | |
| 2018-05-08 19:43:58,079 Progress --- total: 9280, correct: tensor(0) | |
| 2018-05-08 19:44:01,058 Progress --- total: 9312, correct: tensor(0) | |
| 2018-05-08 19:44:05,752 Progress --- total: 9344, correct: tensor(0) | |
| 2018-05-08 19:44:10,229 Progress --- total: 9376, correct: tensor(0) | |
| 2018-05-08 19:44:13,931 Progress --- total: 9408, correct: tensor(0) | |
| 2018-05-08 19:44:17,095 Progress --- total: 9440, correct: tensor(0) | |
| 2018-05-08 19:44:20,232 Progress --- total: 9472, correct: tensor(0) | |
| 2018-05-08 19:44:24,239 Progress --- total: 9504, correct: tensor(0) | |
| 2018-05-08 19:44:27,399 Progress --- total: 9536, correct: tensor(0) | |
| 2018-05-08 19:44:30,352 Progress --- total: 9568, correct: tensor(0) | |
| 2018-05-08 19:44:33,524 Progress --- total: 9600, correct: tensor(0) | |
| 2018-05-08 19:44:37,477 Progress --- total: 9632, correct: tensor(0) | |
| 2018-05-08 19:44:41,677 Progress --- total: 9664, correct: tensor(0) | |
| 2018-05-08 19:44:45,226 Progress --- total: 9696, correct: tensor(0) | |
| 2018-05-08 19:44:48,342 Progress --- total: 9728, correct: tensor(0) | |
| 2018-05-08 19:44:52,846 Progress --- total: 9760, correct: tensor(0) | |
| 2018-05-08 19:44:56,981 Progress --- total: 9792, correct: tensor(0) | |
| 2018-05-08 19:44:59,846 Progress --- total: 9824, correct: tensor(0) | |
| 2018-05-08 19:45:03,700 Progress --- total: 9856, correct: tensor(0) | |
| 2018-05-08 19:45:06,828 Progress --- total: 9888, correct: tensor(0) | |
| 2018-05-08 19:45:09,824 Progress --- total: 9920, correct: tensor(0) | |
| 2018-05-08 19:45:12,699 Progress --- total: 9952, correct: tensor(0) | |
| 2018-05-08 19:45:15,662 Progress --- total: 9984, correct: tensor(0) | |
| 2018-05-08 19:45:17,865 Progress --- total: 10000, correct: tensor(0) | |
| 2018-05-08 19:45:17,866 Accuracy of the network on the 10000 test images: tensor(0) % |
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| 2018-05-08 14:43:24,970 Using CUDA: True | |
| 2018-05-08 14:43:34,057 Reading data... | |
| 2018-05-08 14:43:35,099 Loaded: data/tiny-imagenet-200/train | |
| 2018-05-08 14:43:35,100 -- EPOCH: 0 | |
| 2018-05-08 14:43:43,202 -- ITERATION: 49 | |
| 2018-05-08 14:43:43,314 -- RUNNING_LOSS: tensor(5.3562, device='cuda:0') | |
| 2018-05-08 14:43:51,446 -- ITERATION: 99 | |
| 2018-05-08 14:43:51,556 -- RUNNING_LOSS: tensor(8.2203, device='cuda:0') | |
| 2018-05-08 14:44:48,662 -- ITERATION: 149 | |
| 2018-05-08 14:44:48,718 -- RUNNING_LOSS: tensor(7.8387, device='cuda:0') | |
| 2018-05-08 14:46:05,053 -- ITERATION: 199 | |
| 2018-05-08 14:46:05,110 -- RUNNING_LOSS: tensor(6.7356, device='cuda:0') | |
| 2018-05-08 14:47:18,486 -- ITERATION: 249 | |
| 2018-05-08 14:47:18,543 -- RUNNING_LOSS: tensor(6.9319, device='cuda:0') | |
| 2018-05-08 14:48:30,561 -- ITERATION: 299 | |
| 2018-05-08 14:48:30,617 -- RUNNING_LOSS: tensor(6.8090, device='cuda:0') | |
| 2018-05-08 14:49:45,403 -- ITERATION: 349 | |
| 2018-05-08 14:49:45,464 -- RUNNING_LOSS: tensor(6.8078, device='cuda:0') | |
| 2018-05-08 14:51:00,138 -- ITERATION: 399 | |
| 2018-05-08 14:51:00,195 -- RUNNING_LOSS: tensor(6.8677, device='cuda:0') | |
| 2018-05-08 14:52:13,952 -- ITERATION: 449 | |
| 2018-05-08 14:52:14,010 -- RUNNING_LOSS: tensor(6.6062, device='cuda:0') | |
| 2018-05-08 14:53:35,692 -- ITERATION: 499 | |
| 2018-05-08 14:53:35,749 -- RUNNING_LOSS: tensor(6.4905, device='cuda:0') | |
| 2018-05-08 14:54:56,578 -- ITERATION: 549 | |
| 2018-05-08 14:54:56,634 -- RUNNING_LOSS: tensor(6.5660, device='cuda:0') | |
| 2018-05-08 14:56:07,906 -- ITERATION: 599 | |
| 2018-05-08 14:56:07,962 -- RUNNING_LOSS: tensor(6.6202, device='cuda:0') | |
| 2018-05-08 14:57:25,376 -- ITERATION: 649 | |
| 2018-05-08 14:57:25,434 -- RUNNING_LOSS: tensor(6.5421, device='cuda:0') | |
| 2018-05-08 14:58:31,764 -- ITERATION: 699 | |
| 2018-05-08 14:58:31,820 -- RUNNING_LOSS: tensor(6.3167, device='cuda:0') | |
| 2018-05-08 14:59:30,879 -- ITERATION: 749 | |
| 2018-05-08 14:59:30,937 -- RUNNING_LOSS: tensor(6.3617, device='cuda:0') | |
| 2018-05-08 15:00:45,981 -- ITERATION: 799 | |
| 2018-05-08 15:00:46,039 -- RUNNING_LOSS: tensor(6.5318, device='cuda:0') | |
| 2018-05-08 15:01:56,121 -- ITERATION: 849 | |
| 2018-05-08 15:01:56,180 -- RUNNING_LOSS: tensor(6.3882, device='cuda:0') | |
| 2018-05-08 15:03:06,655 -- ITERATION: 899 | |
| 2018-05-08 15:03:06,720 -- RUNNING_LOSS: tensor(6.3885, device='cuda:0') | |
| 2018-05-08 15:04:18,782 -- ITERATION: 949 | |
| 2018-05-08 15:04:18,839 -- RUNNING_LOSS: tensor(6.2389, device='cuda:0') | |
| 2018-05-08 15:05:25,969 -- ITERATION: 999 | |
| 2018-05-08 15:05:26,027 -- RUNNING_LOSS: tensor(6.0630, device='cuda:0') | |
| 2018-05-08 15:06:34,840 -- ITERATION: 1049 | |
| 2018-05-08 15:06:34,897 -- RUNNING_LOSS: tensor(6.3976, device='cuda:0') | |
| 2018-05-08 15:07:46,201 -- ITERATION: 1099 | |
| 2018-05-08 15:07:46,258 -- RUNNING_LOSS: tensor(6.4330, device='cuda:0') | |
| 2018-05-08 15:08:49,692 -- ITERATION: 1149 | |
| 2018-05-08 15:08:49,749 -- RUNNING_LOSS: tensor(6.2924, device='cuda:0') | |
| 2018-05-08 15:09:51,274 -- ITERATION: 1199 | |
| 2018-05-08 15:09:51,331 -- RUNNING_LOSS: tensor(6.2373, device='cuda:0') | |
| 2018-05-08 15:11:02,753 -- ITERATION: 1249 | |
| 2018-05-08 15:11:02,816 -- RUNNING_LOSS: tensor(6.1861, device='cuda:0') | |
| 2018-05-08 15:12:19,620 -- ITERATION: 1299 | |
| 2018-05-08 15:12:19,682 -- RUNNING_LOSS: tensor(6.3176, device='cuda:0') | |
| 2018-05-08 15:13:30,057 -- ITERATION: 1349 | |
| 2018-05-08 15:13:30,119 -- RUNNING_LOSS: tensor(6.1993, device='cuda:0') | |
| 2018-05-08 15:14:42,209 -- ITERATION: 1399 | |
| 2018-05-08 15:14:42,266 -- RUNNING_LOSS: tensor(6.1206, device='cuda:0') | |
| 2018-05-08 15:15:52,474 -- ITERATION: 1449 | |
| 2018-05-08 15:15:52,530 -- RUNNING_LOSS: tensor(6.0974, device='cuda:0') | |
| 2018-05-08 15:16:58,037 -- ITERATION: 1499 | |
| 2018-05-08 15:16:58,114 -- RUNNING_LOSS: tensor(6.1290, device='cuda:0') | |
| 2018-05-08 15:18:10,534 -- ITERATION: 1549 | |
| 2018-05-08 15:18:10,592 -- RUNNING_LOSS: tensor(6.3644, device='cuda:0') | |
| 2018-05-08 15:19:25,514 -- ITERATION: 1599 | |
| 2018-05-08 15:19:25,572 -- RUNNING_LOSS: tensor(6.5670, device='cuda:0') | |
| 2018-05-08 15:20:34,178 -- ITERATION: 1649 | |
| 2018-05-08 15:20:34,236 -- RUNNING_LOSS: tensor(6.4802, device='cuda:0') | |
| 2018-05-08 15:21:37,168 -- ITERATION: 1699 | |
| 2018-05-08 15:21:37,224 -- RUNNING_LOSS: tensor(6.2299, device='cuda:0') | |
| 2018-05-08 15:22:45,102 -- ITERATION: 1749 | |
| 2018-05-08 15:22:45,160 -- RUNNING_LOSS: tensor(6.2270, device='cuda:0') | |
| 2018-05-08 15:23:51,967 -- ITERATION: 1799 | |
| 2018-05-08 15:23:52,025 -- RUNNING_LOSS: tensor(6.4481, device='cuda:0') | |
| 2018-05-08 15:25:03,247 -- ITERATION: 1849 | |
| 2018-05-08 15:25:03,304 -- RUNNING_LOSS: tensor(6.2192, device='cuda:0') | |
| 2018-05-08 15:26:13,255 -- ITERATION: 1899 | |
| 2018-05-08 15:26:13,311 -- RUNNING_LOSS: tensor(6.2311, device='cuda:0') | |
| 2018-05-08 15:27:26,389 -- ITERATION: 1949 | |
| 2018-05-08 15:27:26,447 -- RUNNING_LOSS: tensor(6.1970, device='cuda:0') | |
| 2018-05-08 15:28:33,992 -- ITERATION: 1999 | |
| 2018-05-08 15:28:34,049 -- RUNNING_LOSS: tensor(6.0292, device='cuda:0') | |
| 2018-05-08 15:29:48,091 -- ITERATION: 2049 | |
| 2018-05-08 15:29:48,148 -- RUNNING_LOSS: tensor(6.1042, device='cuda:0') | |
| 2018-05-08 15:30:56,347 -- ITERATION: 2099 | |
| 2018-05-08 15:30:56,405 -- RUNNING_LOSS: tensor(6.1941, device='cuda:0') | |
| 2018-05-08 15:32:00,892 -- ITERATION: 2149 | |
| 2018-05-08 15:32:00,949 -- RUNNING_LOSS: tensor(6.2409, device='cuda:0') | |
| 2018-05-08 15:33:06,804 -- ITERATION: 2199 | |
| 2018-05-08 15:33:06,862 -- RUNNING_LOSS: tensor(6.1663, device='cuda:0') | |
| 2018-05-08 15:34:14,117 -- ITERATION: 2249 | |
| 2018-05-08 15:34:14,177 -- RUNNING_LOSS: tensor(6.2196, device='cuda:0') | |
| 2018-05-08 15:35:21,875 -- ITERATION: 2299 | |
| 2018-05-08 15:35:21,935 -- RUNNING_LOSS: tensor(6.2477, device='cuda:0') | |
| 2018-05-08 15:36:29,134 -- ITERATION: 2349 | |
| 2018-05-08 15:36:29,201 -- RUNNING_LOSS: tensor(6.2261, device='cuda:0') | |
| 2018-05-08 15:37:43,735 -- ITERATION: 2399 | |
| 2018-05-08 15:37:43,793 -- RUNNING_LOSS: tensor(6.2184, device='cuda:0') | |
| 2018-05-08 15:38:43,610 -- ITERATION: 2449 | |
| 2018-05-08 15:38:43,667 -- RUNNING_LOSS: tensor(6.0986, device='cuda:0') | |
| 2018-05-08 15:39:39,386 -- ITERATION: 2499 | |
| 2018-05-08 15:39:39,444 -- RUNNING_LOSS: tensor(6.0625, device='cuda:0') | |
| 2018-05-08 15:40:36,655 -- ITERATION: 2549 | |
| 2018-05-08 15:40:36,711 -- RUNNING_LOSS: tensor(6.1844, device='cuda:0') | |
| 2018-05-08 15:41:48,155 -- ITERATION: 2599 | |
| 2018-05-08 15:41:48,211 -- RUNNING_LOSS: tensor(6.2737, device='cuda:0') | |
| 2018-05-08 15:42:53,995 -- ITERATION: 2649 | |
| 2018-05-08 15:42:54,054 -- RUNNING_LOSS: tensor(6.0903, device='cuda:0') | |
| 2018-05-08 15:43:54,949 -- ITERATION: 2699 | |
| 2018-05-08 15:43:55,008 -- RUNNING_LOSS: tensor(6.1209, device='cuda:0') | |
| 2018-05-08 15:45:01,201 -- ITERATION: 2749 | |
| 2018-05-08 15:45:01,268 -- RUNNING_LOSS: tensor(6.0781, device='cuda:0') | |
| 2018-05-08 15:46:09,770 -- ITERATION: 2799 | |
| 2018-05-08 15:46:09,829 -- RUNNING_LOSS: tensor(6.2630, device='cuda:0') | |
| 2018-05-08 15:47:18,570 -- ITERATION: 2849 | |
| 2018-05-08 15:47:18,627 -- RUNNING_LOSS: tensor(6.2476, device='cuda:0') | |
| 2018-05-08 15:48:25,725 -- ITERATION: 2899 | |
| 2018-05-08 15:48:25,783 -- RUNNING_LOSS: tensor(6.1808, device='cuda:0') | |
| 2018-05-08 15:49:28,350 -- ITERATION: 2949 | |
| 2018-05-08 15:49:28,407 -- RUNNING_LOSS: tensor(6.1005, device='cuda:0') | |
| 2018-05-08 15:50:34,455 -- ITERATION: 2999 | |
| 2018-05-08 15:50:34,522 -- RUNNING_LOSS: tensor(6.1017, device='cuda:0') | |
| 2018-05-08 15:51:43,100 -- ITERATION: 3049 | |
| 2018-05-08 15:51:43,156 -- RUNNING_LOSS: tensor(6.2802, device='cuda:0') | |
| 2018-05-08 15:52:52,354 -- ITERATION: 3099 | |
| 2018-05-08 15:52:52,414 -- RUNNING_LOSS: tensor(6.1730, device='cuda:0') | |
| 2018-05-08 15:53:25,388 -- EPOCH: 1 | |
| 2018-05-08 15:54:25,381 -- ITERATION: 49 | |
| 2018-05-08 15:54:25,441 -- RUNNING_LOSS: tensor(6.4915, device='cuda:0') | |
| 2018-05-08 15:55:26,726 -- ITERATION: 99 | |
| 2018-05-08 15:55:26,783 -- RUNNING_LOSS: tensor(6.1459, device='cuda:0') | |
| 2018-05-08 15:56:25,991 -- ITERATION: 149 | |
| 2018-05-08 15:56:26,048 -- RUNNING_LOSS: tensor(6.0507, device='cuda:0') | |
| 2018-05-08 15:57:34,858 -- ITERATION: 199 | |
| 2018-05-08 15:57:34,915 -- RUNNING_LOSS: tensor(5.9976, device='cuda:0') | |
| 2018-05-08 15:58:44,672 -- ITERATION: 249 | |
| 2018-05-08 15:58:44,730 -- RUNNING_LOSS: tensor(5.9526, device='cuda:0') | |
| 2018-05-08 15:59:54,960 -- ITERATION: 299 | |
| 2018-05-08 15:59:55,016 -- RUNNING_LOSS: tensor(6.0153, device='cuda:0') | |
| 2018-05-08 16:01:03,807 -- ITERATION: 349 | |
| 2018-05-08 16:01:03,869 -- RUNNING_LOSS: tensor(5.9860, device='cuda:0') | |
| 2018-05-08 16:02:10,072 -- ITERATION: 399 | |
| 2018-05-08 16:02:10,136 -- RUNNING_LOSS: tensor(5.9791, device='cuda:0') | |
| 2018-05-08 16:03:16,499 -- ITERATION: 449 | |
| 2018-05-08 16:03:16,558 -- RUNNING_LOSS: tensor(5.9369, device='cuda:0') | |
| 2018-05-08 16:04:27,277 -- ITERATION: 499 | |
| 2018-05-08 16:04:27,345 -- RUNNING_LOSS: tensor(5.9065, device='cuda:0') | |
| 2018-05-08 16:05:42,149 -- ITERATION: 549 | |
| 2018-05-08 16:05:42,205 -- RUNNING_LOSS: tensor(5.9688, device='cuda:0') | |
| 2018-05-08 16:06:57,054 -- ITERATION: 599 | |
| 2018-05-08 16:06:57,122 -- RUNNING_LOSS: tensor(5.9301, device='cuda:0') | |
| 2018-05-08 16:08:08,884 -- ITERATION: 649 | |
| 2018-05-08 16:08:08,943 -- RUNNING_LOSS: tensor(5.9241, device='cuda:0') | |
| 2018-05-08 16:09:16,219 -- ITERATION: 699 | |
| 2018-05-08 16:09:16,275 -- RUNNING_LOSS: tensor(5.8885, device='cuda:0') | |
| 2018-05-08 16:10:16,194 -- ITERATION: 749 | |
| 2018-05-08 16:10:16,253 -- RUNNING_LOSS: tensor(5.8728, device='cuda:0') | |
| 2018-05-08 16:11:27,221 -- ITERATION: 799 | |
| 2018-05-08 16:11:27,278 -- RUNNING_LOSS: tensor(5.9651, device='cuda:0') | |
| 2018-05-08 16:12:34,866 -- ITERATION: 849 | |
| 2018-05-08 16:12:34,923 -- RUNNING_LOSS: tensor(5.9433, device='cuda:0') | |
| 2018-05-08 16:13:46,286 -- ITERATION: 899 | |
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| 2018-05-08 16:16:16,303 -- ITERATION: 999 | |
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| 2018-05-08 16:19:43,994 -- ITERATION: 1149 | |
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| 2018-05-08 16:21:36,029 -- ITERATION: 1199 | |
| 2018-05-08 16:21:36,123 -- RUNNING_LOSS: tensor(5.9098, device='cuda:0') | |
| 2018-05-08 16:22:56,341 -- ITERATION: 1249 | |
| 2018-05-08 16:22:56,404 -- RUNNING_LOSS: tensor(5.8955, device='cuda:0') | |
| 2018-05-08 16:24:11,300 -- ITERATION: 1299 | |
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| 2018-05-08 16:25:22,948 -- ITERATION: 1349 | |
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| 2018-05-08 16:26:31,080 -- ITERATION: 1399 | |
| 2018-05-08 16:26:31,138 -- RUNNING_LOSS: tensor(5.9165, device='cuda:0') | |
| 2018-05-08 16:27:43,480 -- ITERATION: 1449 | |
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| 2018-05-08 16:30:06,085 -- RUNNING_LOSS: tensor(5.9826, device='cuda:0') | |
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| 2018-05-08 16:31:19,404 -- RUNNING_LOSS: tensor(5.9236, device='cuda:0') | |
| 2018-05-08 16:32:24,625 -- ITERATION: 1649 | |
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| 2018-05-08 16:33:31,748 -- ITERATION: 1699 | |
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| 2018-05-08 16:34:37,601 -- ITERATION: 1749 | |
| 2018-05-08 16:34:37,658 -- RUNNING_LOSS: tensor(5.8565, device='cuda:0') | |
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| 2018-05-08 16:36:52,158 -- ITERATION: 1849 | |
| 2018-05-08 16:36:52,215 -- RUNNING_LOSS: tensor(5.8729, device='cuda:0') | |
| 2018-05-08 16:37:59,895 -- ITERATION: 1899 | |
| 2018-05-08 16:37:59,954 -- RUNNING_LOSS: tensor(5.8861, device='cuda:0') | |
| 2018-05-08 16:39:07,532 -- ITERATION: 1949 | |
| 2018-05-08 16:39:07,590 -- RUNNING_LOSS: tensor(5.8753, device='cuda:0') | |
| 2018-05-08 16:40:15,486 -- ITERATION: 1999 | |
| 2018-05-08 16:40:15,544 -- RUNNING_LOSS: tensor(5.8412, device='cuda:0') | |
| 2018-05-08 16:41:26,472 -- ITERATION: 2049 | |
| 2018-05-08 16:41:26,528 -- RUNNING_LOSS: tensor(5.9093, device='cuda:0') | |
| 2018-05-08 16:42:25,827 -- ITERATION: 2099 | |
| 2018-05-08 16:42:25,892 -- RUNNING_LOSS: tensor(5.8792, device='cuda:0') | |
| 2018-05-08 16:43:23,653 -- ITERATION: 2149 | |
| 2018-05-08 16:43:23,710 -- RUNNING_LOSS: tensor(5.8958, device='cuda:0') | |
| 2018-05-08 16:44:25,619 -- ITERATION: 2199 | |
| 2018-05-08 16:44:25,679 -- RUNNING_LOSS: tensor(5.8367, device='cuda:0') | |
| 2018-05-08 16:45:35,903 -- ITERATION: 2249 | |
| 2018-05-08 16:45:35,959 -- RUNNING_LOSS: tensor(5.8082, device='cuda:0') | |
| 2018-05-08 16:46:47,385 -- ITERATION: 2299 | |
| 2018-05-08 16:46:47,444 -- RUNNING_LOSS: tensor(5.8466, device='cuda:0') | |
| 2018-05-08 16:47:58,836 -- ITERATION: 2349 | |
| 2018-05-08 16:47:58,903 -- RUNNING_LOSS: tensor(5.8819, device='cuda:0') | |
| 2018-05-08 16:49:03,615 -- ITERATION: 2399 | |
| 2018-05-08 16:49:03,676 -- RUNNING_LOSS: tensor(5.8643, device='cuda:0') | |
| 2018-05-08 16:50:11,566 -- ITERATION: 2449 | |
| 2018-05-08 16:50:11,623 -- RUNNING_LOSS: tensor(5.8119, device='cuda:0') | |
| 2018-05-08 16:51:20,411 -- ITERATION: 2499 | |
| 2018-05-08 16:51:20,470 -- RUNNING_LOSS: tensor(5.8169, device='cuda:0') | |
| 2018-05-08 16:52:39,198 -- ITERATION: 2549 | |
| 2018-05-08 16:52:39,260 -- RUNNING_LOSS: tensor(5.8830, device='cuda:0') | |
| 2018-05-08 16:53:51,264 -- ITERATION: 2599 | |
| 2018-05-08 16:53:51,327 -- RUNNING_LOSS: tensor(5.8964, device='cuda:0') | |
| 2018-05-08 16:54:56,777 -- ITERATION: 2649 | |
| 2018-05-08 16:54:56,834 -- RUNNING_LOSS: tensor(5.8468, device='cuda:0') | |
| 2018-05-08 16:56:04,513 -- ITERATION: 2699 | |
| 2018-05-08 16:56:04,570 -- RUNNING_LOSS: tensor(5.8318, device='cuda:0') | |
| 2018-05-08 16:57:12,421 -- ITERATION: 2749 | |
| 2018-05-08 16:57:12,483 -- RUNNING_LOSS: tensor(5.7763, device='cuda:0') | |
| 2018-05-08 16:58:28,647 -- ITERATION: 2799 | |
| 2018-05-08 16:58:28,704 -- RUNNING_LOSS: tensor(5.8839, device='cuda:0') | |
| 2018-05-08 16:59:43,421 -- ITERATION: 2849 | |
| 2018-05-08 16:59:43,482 -- RUNNING_LOSS: tensor(5.8675, device='cuda:0') | |
| 2018-05-08 17:00:55,898 -- ITERATION: 2899 | |
| 2018-05-08 17:00:55,954 -- RUNNING_LOSS: tensor(5.8308, device='cuda:0') | |
| 2018-05-08 17:02:01,726 -- ITERATION: 2949 | |
| 2018-05-08 17:02:01,795 -- RUNNING_LOSS: tensor(5.8127, device='cuda:0') | |
| 2018-05-08 17:03:20,350 -- ITERATION: 2999 | |
| 2018-05-08 17:03:20,407 -- RUNNING_LOSS: tensor(5.8103, device='cuda:0') | |
| 2018-05-08 17:04:34,046 -- ITERATION: 3049 | |
| 2018-05-08 17:04:34,103 -- RUNNING_LOSS: tensor(5.9118, device='cuda:0') | |
| 2018-05-08 17:05:43,025 -- ITERATION: 3099 | |
| 2018-05-08 17:05:43,082 -- RUNNING_LOSS: tensor(5.8485, device='cuda:0') | |
| 2018-05-08 17:06:11,418 Finished Training |
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What is the accuracy on validation data-set? Why hasn't you corrected the output?