This model is a fine-tuned version of google/vit-base-patch16-224-in21k 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 | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1241 | 1.0 | 200 | 0.7452 | 0.765 |
| 0.5854 | 2.0 | 400 | 0.4880 | 0.835 |
| 0.4279 | 3.0 | 600 | 0.5049 | 0.8375 |
| 0.4041 | 4.0 | 800 | 0.3321 | 0.8975 |
| 0.2805 | 5.0 | 1000 | 0.4105 | 0.895 |
| 0.279 | 6.0 | 1200 | 0.4269 | 0.8825 |
| 0.1782 | 7.0 | 1400 | 0.3583 | 0.905 |
| 0.1834 | 8.0 | 1600 | 0.3009 | 0.925 |
| 0.1197 | 9.0 | 1800 | 0.3020 | 0.93 |
| 0.1231 | 10.0 | 2000 | 0.3352 | 0.9225 |
| 0.1273 | 11.0 | 2200 | 0.2908 | 0.91 |
| 0.1019 | 12.0 | 2400 | 0.2528 | 0.94 |
| 0.0951 | 13.0 | 2600 | 0.2989 | 0.9325 |
| 0.0957 | 14.0 | 2800 | 0.3189 | 0.9325 |
| 0.0618 | 15.0 | 3000 | 0.1973 | 0.9475 |
| 0.0583 | 16.0 | 3200 | 0.1836 | 0.9575 |
tmp-checkpoint-6200/optimizer.pt 687 MBmodel.safetensors 343 MBtmp-checkpoint-6200/model.safetensors 343 MBtmp-checkpoint-6200/rng_state.pth 14.2 kBtmp-checkpoint-6200/training_args.bin 4.9 kBtraining_args.bin 4.9 kBtmp-checkpoint-6200/scheduler.pt 1.1 kBHave the files? Submit a torrent.
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