This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the imagefolder 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 | F1 | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|---|
| 0.6978 | 1.0 | 14 | 0.6847 | 0.5833 | 0.0 | 0.0 | 0.0 | 0.5717 |
| 0.7025 | 2.0 | 28 | 0.7120 | 0.4167 | 0.5882 | 0.4167 | 1.0 | 0.5570 |
| 0.6946 | 3.0 | 42 | 0.6955 | 0.4167 | 0.5882 | 0.4167 | 1.0 | 0.5662 |
| 0.6935 | 4.0 | 56 | 0.7047 | 0.4167 | 0.5882 | 0.4167 | 1.0 | 0.5644 |
| 0.6935 | 5.0 | 70 | 0.7046 | 0.4167 | 0.5882 | 0.4167 | 1.0 | 0.5742 |
tmp-checkpoint-117/optimizer.pt 694 MBtmp-checkpoint-234/optimizer.pt 402 MBtmp-checkpoint-117/model.safetensors 348 MBtmp-checkpoint-234/model.safetensors 348 MBtmp-checkpoint-29/model.safetensors 348 MBmodel.safetensors 347 MBtmp-checkpoint-29/optimizer.pt 35 MBtmp-checkpoint-117/rng_state.pth 14.6 kBtraining_args.bin 4.7 kBtmp-checkpoint-117/training_args.bin 4.3 kBtmp-checkpoint-234/training_args.bin 4.3 kBtmp-checkpoint-29/training_args.bin 4.3 kBtmp-checkpoint-117/scheduler.pt 0.6 kBmicrosoft/swin-base-patch4-window7-224