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cars-scaling_x_3.0-scaling_p_3.0-lr_1.log
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2020-04-09 15:11:24,854 Training parameters: {'dataset': 'cars', 'config': 'config.json', 'sz_embedding': 64, 'sz_batch': 32, 'nb_epochs': 50, 'log_filename': 'cars-scaling_x_3.0-scaling_p_3.0-lr_1', 'gpu_id': 1, 'nb_workers': 4, 'with_nmi': True, 'scaling_x': 3.0, 'scaling_p': 3.0, 'lr_proxynca': 1.0}
2020-04-09 15:11:24,854 Training for 50 epochs.
2020-04-09 15:11:24,854 **Evaluating initial model...**
2020-04-09 15:12:10,660 NMI: 32.712
2020-04-09 15:12:14,395 R@1 : 28.422
2020-04-09 15:12:14,579 R@2 : 39.282
2020-04-09 15:12:14,762 R@4 : 51.703
2020-04-09 15:12:14,904 R@8 : 64.457
2020-04-09 15:12:49,771 Epoch: 0, loss: 4.240, time (seconds): 34.87.
2020-04-09 15:12:49,771 **Evaluating...**
2020-04-09 15:13:38,748 NMI: 38.672
2020-04-09 15:13:43,083 R@1 : 24.462
2020-04-09 15:13:43,218 R@2 : 35.826
2020-04-09 15:13:43,353 R@4 : 49.822
2020-04-09 15:13:43,498 R@8 : 63.301
2020-04-09 15:14:16,760 Epoch: 1, loss: 2.936, time (seconds): 33.26.
2020-04-09 15:14:16,761 **Evaluating...**
2020-04-09 15:15:07,444 NMI: 46.492
2020-04-09 15:15:11,790 R@1 : 43.463
2020-04-09 15:15:11,998 R@2 : 56.131
2020-04-09 15:15:12,204 R@4 : 67.925
2020-04-09 15:15:12,360 R@8 : 78.674
2020-04-09 15:15:47,411 Epoch: 2, loss: 2.424, time (seconds): 35.05.
2020-04-09 15:15:47,412 **Evaluating...**
2020-04-09 15:16:36,295 NMI: 53.001
2020-04-09 15:16:41,028 R@1 : 56.537
2020-04-09 15:16:41,220 R@2 : 69.106
2020-04-09 15:16:41,406 R@4 : 79.277
2020-04-09 15:16:41,590 R@8 : 86.816
2020-04-09 15:17:20,897 Epoch: 3, loss: 2.003, time (seconds): 39.31.
2020-04-09 15:17:20,898 **Evaluating...**
2020-04-09 15:18:19,402 NMI: 54.028
2020-04-09 15:18:24,186 R@1 : 60.632
2020-04-09 15:18:24,442 R@2 : 72.242
2020-04-09 15:18:24,700 R@4 : 81.466
2020-04-09 15:18:24,887 R@8 : 88.587
2020-04-09 15:19:01,029 Epoch: 4, loss: 1.925, time (seconds): 36.14.
2020-04-09 15:19:01,030 **Evaluating...**
2020-04-09 15:19:51,179 NMI: 56.994
2020-04-09 15:19:55,443 R@1 : 63.977
2020-04-09 15:19:55,605 R@2 : 75.329
2020-04-09 15:19:55,822 R@4 : 84.024
2020-04-09 15:19:56,009 R@8 : 90.038
2020-04-09 15:20:31,618 Epoch: 5, loss: 1.712, time (seconds): 35.61.
2020-04-09 15:20:31,619 **Evaluating...**
2020-04-09 15:21:23,019 NMI: 56.704
2020-04-09 15:21:27,650 R@1 : 66.068
2020-04-09 15:21:27,859 R@2 : 76.719
2020-04-09 15:21:28,073 R@4 : 84.971
2020-04-09 15:21:28,285 R@8 : 90.604
2020-04-09 15:22:02,275 Epoch: 6, loss: 1.662, time (seconds): 33.99.
2020-04-09 15:22:02,276 **Evaluating...**
2020-04-09 15:22:51,981 NMI: 58.308
2020-04-09 15:22:56,764 R@1 : 67.101
2020-04-09 15:22:57,054 R@2 : 77.211
2020-04-09 15:22:57,246 R@4 : 85.082
2020-04-09 15:22:57,410 R@8 : 90.936
2020-04-09 15:23:34,548 Epoch: 7, loss: 1.591, time (seconds): 37.14.
2020-04-09 15:23:34,549 **Evaluating...**
2020-04-09 15:24:24,685 NMI: 58.617
2020-04-09 15:24:29,133 R@1 : 68.466
2020-04-09 15:24:29,340 R@2 : 77.936
2020-04-09 15:24:29,546 R@4 : 85.820
2020-04-09 15:24:29,764 R@8 : 91.662
2020-04-09 15:25:19,180 Epoch: 8, loss: 1.578, time (seconds): 49.41.
2020-04-09 15:25:19,181 **Evaluating...**
2020-04-09 15:26:09,677 NMI: 60.079
2020-04-09 15:26:13,853 R@1 : 69.413
2020-04-09 15:26:13,996 R@2 : 78.932
2020-04-09 15:26:14,167 R@4 : 86.558
2020-04-09 15:26:14,406 R@8 : 91.895
2020-04-09 15:26:48,862 Epoch: 9, loss: 1.432, time (seconds): 34.45.
2020-04-09 15:26:48,862 **Evaluating...**
2020-04-09 15:27:40,294 NMI: 61.174
2020-04-09 15:27:44,837 R@1 : 70.754
2020-04-09 15:27:45,043 R@2 : 80.187
2020-04-09 15:27:45,330 R@4 : 87.123
2020-04-09 15:27:45,491 R@8 : 91.981
2020-04-09 15:28:18,989 Epoch: 10, loss: 1.474, time (seconds): 33.50.
2020-04-09 15:28:18,990 **Evaluating...**
2020-04-09 15:29:08,880 NMI: 60.450
2020-04-09 15:29:13,617 R@1 : 70.176
2020-04-09 15:29:13,783 R@2 : 79.916
2020-04-09 15:29:13,922 R@4 : 87.074
2020-04-09 15:29:14,103 R@8 : 92.104
2020-04-09 15:29:48,467 Epoch: 11, loss: 1.351, time (seconds): 34.36.
2020-04-09 15:29:48,468 **Evaluating...**
2020-04-09 15:30:38,602 NMI: 61.189
2020-04-09 15:30:42,877 R@1 : 71.074
2020-04-09 15:30:43,087 R@2 : 80.703
2020-04-09 15:30:43,293 R@4 : 87.443
2020-04-09 15:30:43,499 R@8 : 92.227
2020-04-09 15:31:19,585 Epoch: 12, loss: 1.380, time (seconds): 36.09.
2020-04-09 15:31:19,586 **Evaluating...**
2020-04-09 15:32:07,772 NMI: 61.246
2020-04-09 15:32:12,563 R@1 : 71.111
2020-04-09 15:32:12,784 R@2 : 80.740
2020-04-09 15:32:13,000 R@4 : 87.701
2020-04-09 15:32:13,205 R@8 : 92.486
2020-04-09 15:32:49,599 Epoch: 13, loss: 1.322, time (seconds): 36.39.
2020-04-09 15:32:49,600 **Evaluating...**
2020-04-09 15:33:44,368 NMI: 59.072
2020-04-09 15:33:49,102 R@1 : 70.422
2020-04-09 15:33:49,279 R@2 : 79.855
2020-04-09 15:33:49,489 R@4 : 86.570
2020-04-09 15:33:49,672 R@8 : 91.772
2020-04-09 15:34:24,942 Epoch: 14, loss: 1.312, time (seconds): 35.27.
2020-04-09 15:34:24,942 **Evaluating...**
2020-04-09 15:35:14,856 NMI: 59.955
2020-04-09 15:35:19,450 R@1 : 70.545
2020-04-09 15:35:19,599 R@2 : 79.966
2020-04-09 15:35:19,741 R@4 : 86.853
2020-04-09 15:35:19,880 R@8 : 91.895
2020-04-09 15:35:54,133 Epoch: 15, loss: 1.300, time (seconds): 34.25.
2020-04-09 15:35:54,133 **Evaluating...**
2020-04-09 15:36:43,451 NMI: 62.453
2020-04-09 15:36:48,006 R@1 : 72.193
2020-04-09 15:36:48,242 R@2 : 81.318
2020-04-09 15:36:48,452 R@4 : 87.542
2020-04-09 15:36:48,707 R@8 : 92.547
2020-04-09 15:37:22,745 Epoch: 16, loss: 1.309, time (seconds): 34.04.
2020-04-09 15:37:22,746 **Evaluating...**
2020-04-09 15:38:13,808 NMI: 61.708
2020-04-09 15:38:17,962 R@1 : 72.144
2020-04-09 15:38:18,106 R@2 : 81.650
2020-04-09 15:38:18,244 R@4 : 87.726
2020-04-09 15:38:18,385 R@8 : 92.203
2020-04-09 15:38:54,143 Epoch: 17, loss: 1.224, time (seconds): 35.76.
2020-04-09 15:38:54,144 **Evaluating...**
2020-04-09 15:39:44,310 NMI: 60.407
2020-04-09 15:39:48,775 R@1 : 70.483
2020-04-09 15:39:48,934 R@2 : 79.990
2020-04-09 15:39:49,075 R@4 : 86.791
2020-04-09 15:39:49,237 R@8 : 91.957
2020-04-09 15:40:24,171 Epoch: 18, loss: 1.235, time (seconds): 34.93.
2020-04-09 15:40:24,177 **Evaluating...**
2020-04-09 15:41:13,406 NMI: 61.435
2020-04-09 15:41:18,087 R@1 : 70.139
2020-04-09 15:41:18,296 R@2 : 80.310
2020-04-09 15:41:18,504 R@4 : 87.345
2020-04-09 15:41:18,721 R@8 : 92.129
2020-04-09 15:41:53,072 Epoch: 19, loss: 1.226, time (seconds): 34.35.
2020-04-09 15:41:53,073 **Evaluating...**
2020-04-09 15:42:40,723 NMI: 61.451
2020-04-09 15:42:45,475 R@1 : 71.664
2020-04-09 15:42:45,688 R@2 : 80.999
2020-04-09 15:42:45,902 R@4 : 87.542
2020-04-09 15:42:46,116 R@8 : 92.424
2020-04-09 15:43:19,431 Epoch: 20, loss: 1.224, time (seconds): 33.31.
2020-04-09 15:43:19,549 **Evaluating...**
2020-04-09 15:44:10,995 NMI: 60.458
2020-04-09 15:44:15,686 R@1 : 71.578
2020-04-09 15:44:15,898 R@2 : 80.740
2020-04-09 15:44:16,142 R@4 : 87.246
2020-04-09 15:44:16,431 R@8 : 92.166
2020-04-09 15:44:51,797 Epoch: 21, loss: 1.198, time (seconds): 35.36.
2020-04-09 15:44:51,798 **Evaluating...**
2020-04-09 15:45:41,606 NMI: 60.403
2020-04-09 15:45:46,077 R@1 : 71.172
2020-04-09 15:45:46,292 R@2 : 80.605
2020-04-09 15:45:46,471 R@4 : 87.492
2020-04-09 15:45:46,628 R@8 : 92.252
2020-04-09 15:46:22,602 Epoch: 22, loss: 1.220, time (seconds): 35.97.
2020-04-09 15:46:22,603 **Evaluating...**
2020-04-09 15:47:11,736 NMI: 60.673
2020-04-09 15:47:16,419 R@1 : 69.610
2020-04-09 15:47:16,609 R@2 : 79.597
2020-04-09 15:47:16,799 R@4 : 87.025
2020-04-09 15:47:16,988 R@8 : 91.908
2020-04-09 15:47:51,740 Epoch: 23, loss: 1.207, time (seconds): 34.75.
2020-04-09 15:47:51,741 **Evaluating...**
2020-04-09 15:48:42,605 NMI: 60.985
2020-04-09 15:48:46,697 R@1 : 71.307
2020-04-09 15:48:46,847 R@2 : 80.777
2020-04-09 15:48:47,036 R@4 : 87.455
2020-04-09 15:48:47,222 R@8 : 92.117
2020-04-09 15:49:22,249 Epoch: 24, loss: 1.247, time (seconds): 35.03.
2020-04-09 15:49:22,249 **Evaluating...**
2020-04-09 15:50:12,780 NMI: 60.146
2020-04-09 15:50:16,616 R@1 : 70.766
2020-04-09 15:50:16,814 R@2 : 79.892
2020-04-09 15:50:16,996 R@4 : 86.410
2020-04-09 15:50:17,165 R@8 : 91.649
2020-04-09 15:50:50,938 Epoch: 25, loss: 1.294, time (seconds): 33.77.
2020-04-09 15:50:50,939 **Evaluating...**
2020-04-09 15:51:41,957 NMI: 61.354
2020-04-09 15:51:46,419 R@1 : 71.689
2020-04-09 15:51:46,564 R@2 : 80.285
2020-04-09 15:51:46,728 R@4 : 87.554
2020-04-09 15:51:46,870 R@8 : 92.645
2020-04-09 15:52:23,963 Epoch: 26, loss: 1.186, time (seconds): 37.09.
2020-04-09 15:52:23,964 **Evaluating...**
2020-04-09 15:53:13,062 NMI: 61.380
2020-04-09 15:53:17,845 R@1 : 71.197
2020-04-09 15:53:18,033 R@2 : 80.089
2020-04-09 15:53:18,186 R@4 : 87.308
2020-04-09 15:53:18,361 R@8 : 92.276
2020-04-09 15:53:53,527 Epoch: 27, loss: 1.199, time (seconds): 35.17.
2020-04-09 15:53:53,528 **Evaluating...**
2020-04-09 15:54:41,154 NMI: 61.183
2020-04-09 15:54:45,586 R@1 : 71.615
2020-04-09 15:54:45,775 R@2 : 80.839
2020-04-09 15:54:45,963 R@4 : 87.345
2020-04-09 15:54:46,151 R@8 : 91.994
2020-04-09 15:55:21,531 Epoch: 28, loss: 1.142, time (seconds): 35.38.
2020-04-09 15:55:21,532 **Evaluating...**
2020-04-09 15:56:09,133 NMI: 61.047
2020-04-09 15:56:13,660 R@1 : 71.135
2020-04-09 15:56:13,798 R@2 : 80.285
2020-04-09 15:56:13,936 R@4 : 86.742
2020-04-09 15:56:14,077 R@8 : 91.662
2020-04-09 15:56:49,729 Epoch: 29, loss: 1.178, time (seconds): 35.65.
2020-04-09 15:56:49,729 **Evaluating...**
2020-04-09 15:57:38,438 NMI: 60.692
2020-04-09 15:57:42,695 R@1 : 70.065
2020-04-09 15:57:42,910 R@2 : 79.769
2020-04-09 15:57:43,119 R@4 : 86.828
2020-04-09 15:57:43,328 R@8 : 91.612
2020-04-09 15:58:18,352 Epoch: 30, loss: 1.164, time (seconds): 35.02.
2020-04-09 15:58:18,353 **Evaluating...**
2020-04-09 15:59:06,625 NMI: 60.624
2020-04-09 15:59:11,246 R@1 : 71.061
2020-04-09 15:59:11,431 R@2 : 80.396
2020-04-09 15:59:11,617 R@4 : 87.800
2020-04-09 15:59:11,803 R@8 : 92.264
2020-04-09 15:59:46,493 Epoch: 31, loss: 1.131, time (seconds): 34.69.
2020-04-09 15:59:46,494 **Evaluating...**
2020-04-09 16:00:33,996 NMI: 61.246
2020-04-09 16:00:38,586 R@1 : 70.901
2020-04-09 16:00:38,795 R@2 : 80.113
2020-04-09 16:00:39,007 R@4 : 87.000
2020-04-09 16:00:39,215 R@8 : 91.908
2020-04-09 16:01:14,026 Epoch: 32, loss: 1.152, time (seconds): 34.81.
2020-04-09 16:01:14,027 **Evaluating...**
2020-04-09 16:02:01,317 NMI: 60.772
2020-04-09 16:02:05,607 R@1 : 70.951
2020-04-09 16:02:05,766 R@2 : 80.236
2020-04-09 16:02:05,921 R@4 : 87.062
2020-04-09 16:02:06,080 R@8 : 91.760
2020-04-09 16:02:41,874 Epoch: 33, loss: 1.133, time (seconds): 35.79.
2020-04-09 16:02:41,874 **Evaluating...**
2020-04-09 16:03:29,285 NMI: 60.636
2020-04-09 16:03:34,029 R@1 : 71.221
2020-04-09 16:03:34,218 R@2 : 80.039
2020-04-09 16:03:34,406 R@4 : 86.742
2020-04-09 16:03:34,592 R@8 : 91.895
2020-04-09 16:04:10,521 Epoch: 34, loss: 1.151, time (seconds): 35.93.
2020-04-09 16:04:10,522 **Evaluating...**
2020-04-09 16:05:00,312 NMI: 59.731
2020-04-09 16:05:04,292 R@1 : 69.918
2020-04-09 16:05:04,426 R@2 : 79.781
2020-04-09 16:05:04,568 R@4 : 86.877
2020-04-09 16:05:04,714 R@8 : 91.772
2020-04-09 16:05:39,025 Epoch: 35, loss: 1.117, time (seconds): 34.31.
2020-04-09 16:05:39,025 **Evaluating...**
2020-04-09 16:06:26,461 NMI: 61.314
2020-04-09 16:06:31,304 R@1 : 70.803
2020-04-09 16:06:31,492 R@2 : 80.617
2020-04-09 16:06:31,679 R@4 : 87.283
2020-04-09 16:06:31,867 R@8 : 92.203
2020-04-09 16:07:07,114 Epoch: 36, loss: 1.129, time (seconds): 35.25.
2020-04-09 16:07:07,115 **Evaluating...**
2020-04-09 16:07:54,716 NMI: 60.970
2020-04-09 16:07:59,245 R@1 : 71.246
2020-04-09 16:07:59,384 R@2 : 80.470
2020-04-09 16:07:59,555 R@4 : 87.406
2020-04-09 16:07:59,761 R@8 : 91.895
2020-04-09 16:08:34,060 Epoch: 37, loss: 1.076, time (seconds): 34.30.
2020-04-09 16:08:34,062 **Evaluating...**
2020-04-09 16:09:22,716 NMI: 61.121
2020-04-09 16:09:26,809 R@1 : 70.139
2020-04-09 16:09:26,944 R@2 : 79.941
2020-04-09 16:09:27,080 R@4 : 86.791
2020-04-09 16:09:27,216 R@8 : 91.772
2020-04-09 16:10:01,906 Epoch: 38, loss: 1.126, time (seconds): 34.69.
2020-04-09 16:10:01,907 **Evaluating...**
2020-04-09 16:10:51,107 NMI: 61.555
2020-04-09 16:10:55,091 R@1 : 71.799
2020-04-09 16:10:55,247 R@2 : 80.162
2020-04-09 16:10:55,402 R@4 : 87.246
2020-04-09 16:10:55,594 R@8 : 91.698
2020-04-09 16:11:31,325 Epoch: 39, loss: 1.115, time (seconds): 35.73.
2020-04-09 16:11:31,326 **Evaluating...**
2020-04-09 16:12:20,238 NMI: 61.703
2020-04-09 16:12:24,373 R@1 : 71.049
2020-04-09 16:12:24,559 R@2 : 80.187
2020-04-09 16:12:24,746 R@4 : 87.062
2020-04-09 16:12:24,932 R@8 : 91.957
2020-04-09 16:13:00,132 Epoch: 40, loss: 1.067, time (seconds): 35.20.
2020-04-09 16:13:00,133 **Evaluating...**
2020-04-09 16:13:48,073 NMI: 61.244
2020-04-09 16:13:52,451 R@1 : 70.865
2020-04-09 16:13:52,656 R@2 : 80.113
2020-04-09 16:13:52,811 R@4 : 87.345
2020-04-09 16:13:52,946 R@8 : 92.215
2020-04-09 16:14:28,191 Epoch: 41, loss: 1.104, time (seconds): 35.24.
2020-04-09 16:14:28,192 **Evaluating...**
2020-04-09 16:15:16,621 NMI: 62.205
2020-04-09 16:15:21,290 R@1 : 70.840
2020-04-09 16:15:21,516 R@2 : 80.076
2020-04-09 16:15:21,727 R@4 : 87.123
2020-04-09 16:15:21,935 R@8 : 91.944
2020-04-09 16:15:58,627 Epoch: 42, loss: 1.110, time (seconds): 36.69.
2020-04-09 16:15:58,628 **Evaluating...**
2020-04-09 16:16:47,064 NMI: 60.479
2020-04-09 16:16:51,657 R@1 : 69.893
2020-04-09 16:16:51,856 R@2 : 79.474
2020-04-09 16:16:52,061 R@4 : 86.287
2020-04-09 16:16:52,259 R@8 : 91.329
2020-04-09 16:17:26,442 Epoch: 43, loss: 1.087, time (seconds): 34.18.
2020-04-09 16:17:26,443 **Evaluating...**
2020-04-09 16:18:14,745 NMI: 61.284
2020-04-09 16:18:19,475 R@1 : 69.758
2020-04-09 16:18:19,693 R@2 : 79.400
2020-04-09 16:18:19,910 R@4 : 86.595
2020-04-09 16:18:20,091 R@8 : 91.440
2020-04-09 16:18:56,307 Epoch: 44, loss: 1.053, time (seconds): 36.21.
2020-04-09 16:18:56,308 **Evaluating...**
2020-04-09 16:19:43,791 NMI: 60.975
2020-04-09 16:19:47,932 R@1 : 70.151
2020-04-09 16:19:48,112 R@2 : 79.830
2020-04-09 16:19:48,311 R@4 : 86.508
2020-04-09 16:19:48,515 R@8 : 91.416
2020-04-09 16:20:23,468 Epoch: 45, loss: 1.061, time (seconds): 34.95.
2020-04-09 16:20:23,468 **Evaluating...**
2020-04-09 16:21:12,085 NMI: 61.685
2020-04-09 16:21:16,208 R@1 : 70.508
2020-04-09 16:21:16,388 R@2 : 79.867
2020-04-09 16:21:16,552 R@4 : 87.148
2020-04-09 16:21:16,738 R@8 : 91.994
2020-04-09 16:21:51,271 Epoch: 46, loss: 1.122, time (seconds): 34.53.
2020-04-09 16:21:51,272 **Evaluating...**
2020-04-09 16:22:41,179 NMI: 61.556
2020-04-09 16:22:45,714 R@1 : 71.160
2020-04-09 16:22:45,874 R@2 : 80.507
2020-04-09 16:22:46,100 R@4 : 87.517
2020-04-09 16:22:46,315 R@8 : 92.215
2020-04-09 16:23:21,601 Epoch: 47, loss: 1.109, time (seconds): 35.29.
2020-04-09 16:23:21,602 **Evaluating...**
2020-04-09 16:24:10,424 NMI: 59.932
2020-04-09 16:24:14,858 R@1 : 70.779
2020-04-09 16:24:15,005 R@2 : 80.224
2020-04-09 16:24:15,210 R@4 : 86.828
2020-04-09 16:24:15,410 R@8 : 91.256
2020-04-09 16:24:51,007 Epoch: 48, loss: 1.072, time (seconds): 35.60.
2020-04-09 16:24:51,007 **Evaluating...**
2020-04-09 16:25:40,275 NMI: 60.215
2020-04-09 16:25:44,950 R@1 : 71.000
2020-04-09 16:25:45,160 R@2 : 80.039
2020-04-09 16:25:45,371 R@4 : 86.914
2020-04-09 16:25:45,516 R@8 : 91.748
2020-04-09 16:26:20,083 Epoch: 49, loss: 1.087, time (seconds): 34.57.
2020-04-09 16:26:20,084 **Evaluating...**
2020-04-09 16:27:07,155 NMI: 60.458
2020-04-09 16:27:11,815 R@1 : 70.508
2020-04-09 16:27:12,026 R@2 : 80.212
2020-04-09 16:27:12,235 R@4 : 87.037
2020-04-09 16:27:12,442 R@8 : 92.067
2020-04-09 16:27:12,443 Total training time (minutes): 75.79.