This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.6306 | 1.0 | 2625 | 0.6565 | 1.9169 |
| 0.5977 | 2.0 | 5250 | 0.6614 | 1.9120 |
| 0.5472 | 3.0 | 7875 | 0.6635 | 1.9410 |
| 0.513 | 4.0 | 10500 | 0.6679 | 1.9818 |
| 0.4714 | 5.0 | 13125 | 0.6711 | 1.9428 |
| 0.4378 | 6.0 | 15750 | 0.6727 | 2.0051 |
| 0.4105 | 7.0 | 18375 | 0.6778 | 1.9917 |
| 0.3837 | 8.0 | 21000 | 0.6792 | 2.0413 |
| 0.3602 | 9.0 | 23625 | 0.6870 | 2.0738 |
| 0.336 | 10.0 | 26250 | 2.0872 | 0.6876 |
| 0.3057 | 11.0 | 28875 | 2.1163 | 0.6894 |
| 0.2856 | 12.0 | 31500 | 2.1105 | 0.6936 |
| 0.2704 | 13.0 | 34125 | 2.1685 | 0.6965 |
| 0.2503 | 14.0 | 36750 | 2.1627 | 0.6994 |
| 0.2362 | 15.0 | 39375 | 2.1793 | 0.7000 |
pytorch_model.bin 411 MBtraining_args.bin 4.8 kB