Skip to content

Instantly share code, notes, and snippets.

@dichotomies
Created January 17, 2019 19:31
Show Gist options
  • Save dichotomies/5875ba3427a8eeb42b206b396d6820bb to your computer and use it in GitHub Desktop.
Save dichotomies/5875ba3427a8eeb42b206b396d6820bb to your computer and use it in GitHub Desktop.
cars log for istvan
NOTE: "nb_classes" is set automatically now in training; hence, ignore it as parameter.
2019-01-17 12:43:53,439 Training parameters: {'dataset': 'cars', 'sz_embedding': 64, 'nb_classes': 100, 'sz_batch': 32, 'lr_embedding': 1e-05, 'lr_inception': 0.001, 'lr_proxynca': 0.001, 'weight_decay': 0.0005, 'epsilon': 0.01, 'gamma': 0.1, 'nb_epochs': 20, 'log_filename': 'cars-scalenorm', 'gpu_id': 1, 'nb_workers': 16}
2019-01-17 12:43:53,440 Training for 20 epochs.
2019-01-17 12:43:53,440 **Evaluating initial model...**
2019-01-17 12:44:26,258 NMI: 33.773
2019-01-17 12:44:31,517 R@1 : 28.754
2019-01-17 12:44:31,729 R@2 : 39.208
2019-01-17 12:44:31,937 R@4 : 51.273
2019-01-17 12:44:32,152 R@8 : 64.346
2019-01-17 12:45:23,659 Epoch: 1, loss: 3.186, time (seconds): 51.51.
2019-01-17 12:45:23,666 **Evaluating...**
2019-01-17 12:45:53,912 NMI: 45.384
2019-01-17 12:45:59,453 R@1 : 44.755
2019-01-17 12:45:59,668 R@2 : 56.438
2019-01-17 12:45:59,890 R@4 : 67.359
2019-01-17 12:46:00,108 R@8 : 77.457
2019-01-17 12:46:54,061 Epoch: 2, loss: 1.911, time (seconds): 53.95.
2019-01-17 12:46:54,063 **Evaluating...**
2019-01-17 12:47:22,964 NMI: 51.277
2019-01-17 12:47:28,186 R@1 : 57.385
2019-01-17 12:47:28,402 R@2 : 68.798
2019-01-17 12:47:28,625 R@4 : 78.305
2019-01-17 12:47:28,851 R@8 : 85.611
2019-01-17 12:48:22,972 Epoch: 3, loss: 1.130, time (seconds): 54.12.
2019-01-17 12:48:22,974 **Evaluating...**
2019-01-17 12:48:52,838 NMI: 51.345
2019-01-17 12:48:58,906 R@1 : 57.385
2019-01-17 12:48:59,190 R@2 : 68.897
2019-01-17 12:48:59,454 R@4 : 78.207
2019-01-17 12:48:59,675 R@8 : 85.598
2019-01-17 12:49:53,833 Epoch: 4, loss: 0.403, time (seconds): 54.16.
2019-01-17 12:49:53,835 **Evaluating...**
2019-01-17 12:50:23,092 NMI: 57.103
2019-01-17 12:50:28,318 R@1 : 65.429
2019-01-17 12:50:28,577 R@2 : 75.661
2019-01-17 12:50:28,793 R@4 : 83.569
2019-01-17 12:50:29,006 R@8 : 89.337
2019-01-17 12:51:22,593 Epoch: 5, loss: 0.039, time (seconds): 53.59.
2019-01-17 12:51:22,601 **Evaluating...**
2019-01-17 12:51:53,043 NMI: 58.264
2019-01-17 12:51:58,144 R@1 : 66.167
2019-01-17 12:51:58,364 R@2 : 76.227
2019-01-17 12:51:58,596 R@4 : 84.245
2019-01-17 12:51:58,831 R@8 : 89.768
2019-01-17 12:52:51,602 Epoch: 6, loss: -0.038, time (seconds): 52.77.
2019-01-17 12:52:51,604 **Evaluating...**
2019-01-17 12:53:21,160 NMI: 57.805
2019-01-17 12:53:26,483 R@1 : 66.154
2019-01-17 12:53:26,700 R@2 : 76.288
2019-01-17 12:53:26,912 R@4 : 84.221
2019-01-17 12:53:27,131 R@8 : 89.755
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment