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cub-scaling_x_3.0-scaling_p_3.0-lr_1.log
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cub-scaling_x_3.0-scaling_p_3.0-lr_1.log
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2020-04-09 15:08:02,830 Training parameters: {'dataset': 'cub', 'config': 'config.json', 'sz_embedding': 64, 'sz_batch': 32, 'nb_epochs': 20, 'log_filename': 'cub-scaling_x_3.0-scaling_p_3.0-lr_1', 'gpu_id': 0, 'nb_workers': 4, 'with_nmi': True, 'scaling_x': 3.0, 'scaling_p': 3.0, 'lr_proxynca': 1.0}
2020-04-09 15:08:02,830 Training for 20 epochs.
2020-04-09 15:08:02,831 **Evaluating initial model...**
2020-04-09 15:08:36,629 NMI: 46.684
2020-04-09 15:08:39,827 R@1 : 32.326
2020-04-09 15:08:40,101 R@2 : 44.480
2020-04-09 15:08:40,360 R@4 : 56.634
2020-04-09 15:08:40,552 R@8 : 69.716
2020-04-09 15:09:17,222 Epoch: 0, loss: 3.914, time (seconds): 36.67.
2020-04-09 15:09:17,224 **Evaluating...**
2020-04-09 15:09:42,394 NMI: 48.103
2020-04-09 15:09:45,502 R@1 : 32.984
2020-04-09 15:09:45,731 R@2 : 44.851
2020-04-09 15:09:45,990 R@4 : 58.373
2020-04-09 15:09:46,196 R@8 : 71.523
2020-04-09 15:10:22,751 Epoch: 1, loss: 2.637, time (seconds): 36.55.
2020-04-09 15:10:22,753 **Evaluating...**
2020-04-09 15:10:46,750 NMI: 54.321
2020-04-09 15:10:49,931 R@1 : 42.471
2020-04-09 15:10:50,133 R@2 : 54.828
2020-04-09 15:10:50,329 R@4 : 67.302
2020-04-09 15:10:50,535 R@8 : 77.701
2020-04-09 15:11:27,042 Epoch: 2, loss: 2.255, time (seconds): 36.51.
2020-04-09 15:11:27,043 **Evaluating...**
2020-04-09 15:11:50,040 NMI: 56.561
2020-04-09 15:11:52,422 R@1 : 46.303
2020-04-09 15:11:52,576 R@2 : 58.828
2020-04-09 15:11:52,734 R@4 : 70.476
2020-04-09 15:11:52,890 R@8 : 81.415
2020-04-09 15:12:28,971 Epoch: 3, loss: 1.915, time (seconds): 36.08.
2020-04-09 15:12:28,972 **Evaluating...**
2020-04-09 15:12:52,813 NMI: 58.175
2020-04-09 15:12:55,814 R@1 : 49.004
2020-04-09 15:12:56,002 R@2 : 61.462
2020-04-09 15:12:56,197 R@4 : 73.329
2020-04-09 15:12:56,385 R@8 : 82.799
2020-04-09 15:13:32,964 Epoch: 4, loss: 1.778, time (seconds): 36.58.
2020-04-09 15:13:32,966 **Evaluating...**
2020-04-09 15:13:56,840 NMI: 58.951
2020-04-09 15:13:59,905 R@1 : 50.034
2020-04-09 15:14:00,165 R@2 : 62.812
2020-04-09 15:14:00,352 R@4 : 73.869
2020-04-09 15:14:00,551 R@8 : 83.001
2020-04-09 15:14:37,182 Epoch: 5, loss: 1.718, time (seconds): 36.63.
2020-04-09 15:14:37,183 **Evaluating...**
2020-04-09 15:15:01,243 NMI: 59.743
2020-04-09 15:15:04,236 R@1 : 49.949
2020-04-09 15:15:04,485 R@2 : 62.441
2020-04-09 15:15:04,742 R@4 : 74.257
2020-04-09 15:15:04,926 R@8 : 83.322
2020-04-09 15:15:41,330 Epoch: 6, loss: 1.672, time (seconds): 36.40.
2020-04-09 15:15:41,331 **Evaluating...**
2020-04-09 15:16:05,384 NMI: 59.637
2020-04-09 15:16:08,616 R@1 : 50.591
2020-04-09 15:16:08,794 R@2 : 62.998
2020-04-09 15:16:08,983 R@4 : 73.886
2020-04-09 15:16:09,225 R@8 : 82.866
2020-04-09 15:16:45,649 Epoch: 7, loss: 1.564, time (seconds): 36.42.
2020-04-09 15:16:45,649 **Evaluating...**
2020-04-09 15:17:12,587 NMI: 58.241
2020-04-09 15:17:15,591 R@1 : 49.122
2020-04-09 15:17:15,848 R@2 : 62.323
2020-04-09 15:17:16,060 R@4 : 73.886
2020-04-09 15:17:16,261 R@8 : 82.647
2020-04-09 15:17:52,767 Epoch: 8, loss: 1.598, time (seconds): 36.51.
2020-04-09 15:17:52,768 **Evaluating...**
2020-04-09 15:18:21,881 NMI: 57.669
2020-04-09 15:18:24,853 R@1 : 49.916
2020-04-09 15:18:25,047 R@2 : 62.053
2020-04-09 15:18:25,272 R@4 : 74.190
2020-04-09 15:18:25,531 R@8 : 83.153
2020-04-09 15:19:01,651 Epoch: 9, loss: 1.536, time (seconds): 36.12.
2020-04-09 15:19:01,652 **Evaluating...**
2020-04-09 15:19:25,165 NMI: 55.621
2020-04-09 15:19:28,132 R@1 : 47.586
2020-04-09 15:19:28,379 R@2 : 60.365
2020-04-09 15:19:28,643 R@4 : 71.978
2020-04-09 15:19:28,832 R@8 : 81.212
2020-04-09 15:20:05,076 Epoch: 10, loss: 1.420, time (seconds): 36.24.
2020-04-09 15:20:05,077 **Evaluating...**
2020-04-09 15:20:28,732 NMI: 59.536
2020-04-09 15:20:31,904 R@1 : 50.557
2020-04-09 15:20:32,093 R@2 : 63.184
2020-04-09 15:20:32,290 R@4 : 74.426
2020-04-09 15:20:32,511 R@8 : 83.390
2020-04-09 15:21:08,911 Epoch: 11, loss: 1.473, time (seconds): 36.40.
2020-04-09 15:21:08,913 **Evaluating...**
2020-04-09 15:21:32,702 NMI: 58.858
2020-04-09 15:21:35,707 R@1 : 49.578
2020-04-09 15:21:35,899 R@2 : 61.935
2020-04-09 15:21:36,144 R@4 : 72.941
2020-04-09 15:21:36,401 R@8 : 82.174
2020-04-09 15:22:12,774 Epoch: 12, loss: 1.368, time (seconds): 36.37.
2020-04-09 15:22:12,775 **Evaluating...**
2020-04-09 15:22:36,479 NMI: 59.884
2020-04-09 15:22:39,632 R@1 : 51.739
2020-04-09 15:22:39,833 R@2 : 64.213
2020-04-09 15:22:40,021 R@4 : 75.523
2020-04-09 15:22:40,238 R@8 : 84.487
2020-04-09 15:23:16,255 Epoch: 13, loss: 1.372, time (seconds): 36.02.
2020-04-09 15:23:16,256 **Evaluating...**
2020-04-09 15:23:34,121 NMI: 59.590
2020-04-09 15:23:36,475 R@1 : 50.793
2020-04-09 15:23:36,625 R@2 : 62.947
2020-04-09 15:23:36,777 R@4 : 74.359
2020-04-09 15:23:36,929 R@8 : 83.255
2020-04-09 15:24:09,477 Epoch: 14, loss: 1.347, time (seconds): 32.55.
2020-04-09 15:24:09,478 **Evaluating...**
2020-04-09 15:24:27,527 NMI: 59.220
2020-04-09 15:24:29,902 R@1 : 50.321
2020-04-09 15:24:30,054 R@2 : 63.386
2020-04-09 15:24:30,207 R@4 : 74.696
2020-04-09 15:24:30,361 R@8 : 83.474
2020-04-09 15:25:13,959 Epoch: 15, loss: 1.237, time (seconds): 43.60.
2020-04-09 15:25:14,007 **Evaluating...**
2020-04-09 15:25:31,886 NMI: 59.970
2020-04-09 15:25:34,346 R@1 : 51.654
2020-04-09 15:25:34,498 R@2 : 64.433
2020-04-09 15:25:34,652 R@4 : 74.831
2020-04-09 15:25:34,803 R@8 : 82.951
2020-04-09 15:26:07,532 Epoch: 16, loss: 1.263, time (seconds): 32.73.
2020-04-09 15:26:07,533 **Evaluating...**
2020-04-09 15:26:25,515 NMI: 59.691
2020-04-09 15:26:27,951 R@1 : 51.367
2020-04-09 15:26:28,110 R@2 : 64.348
2020-04-09 15:26:28,269 R@4 : 75.574
2020-04-09 15:26:28,425 R@8 : 84.200
2020-04-09 15:27:01,661 Epoch: 17, loss: 1.256, time (seconds): 33.24.
2020-04-09 15:27:01,662 **Evaluating...**
2020-04-09 15:27:19,554 NMI: 60.640
2020-04-09 15:27:22,020 R@1 : 52.633
2020-04-09 15:27:22,172 R@2 : 64.635
2020-04-09 15:27:22,324 R@4 : 75.760
2020-04-09 15:27:22,477 R@8 : 84.521
2020-04-09 15:27:55,518 Epoch: 18, loss: 1.273, time (seconds): 33.04.
2020-04-09 15:27:55,519 **Evaluating...**
2020-04-09 15:28:13,608 NMI: 58.700
2020-04-09 15:28:16,022 R@1 : 51.502
2020-04-09 15:28:16,175 R@2 : 63.454
2020-04-09 15:28:16,328 R@4 : 74.240
2020-04-09 15:28:16,482 R@8 : 83.643
2020-04-09 15:28:49,392 Epoch: 19, loss: 1.225, time (seconds): 32.91.
2020-04-09 15:28:49,394 **Evaluating...**
2020-04-09 15:29:07,387 NMI: 58.994
2020-04-09 15:29:09,792 R@1 : 50.945
2020-04-09 15:29:09,945 R@2 : 63.572
2020-04-09 15:29:10,102 R@4 : 74.156
2020-04-09 15:29:10,257 R@8 : 83.390
2020-04-09 15:29:10,257 Total training time (minutes): 21.12.