Model save
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.776255707762557
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [microsoft/swin-small-patch4-window7-224](https://huggingface.co/microsoft/swin-small-patch4-window7-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6168
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- Accuracy: 0.7763
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.2327 | 0.98 | 20 | 1.1687 | 0.5114 |
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| 0.7354 | 2.0 | 41 | 0.7696 | 0.6712 |
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| 0.602 | 2.98 | 61 | 0.7198 | 0.7078 |
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| 0.5809 | 4.0 | 82 | 0.5824 | 0.7397 |
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| 0.4989 | 4.98 | 102 | 0.5331 | 0.7489 |
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| 0.4364 | 6.0 | 123 | 0.6137 | 0.7489 |
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| 0.3321 | 6.98 | 143 | 0.5839 | 0.7717 |
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| 0.3 | 8.0 | 164 | 0.5246 | 0.7763 |
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| 0.3024 | 8.98 | 184 | 0.5557 | 0.7717 |
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| 0.3433 | 10.0 | 205 | 0.5258 | 0.7900 |
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| 0.258 | 10.98 | 225 | 0.6354 | 0.7489 |
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| 0.1595 | 12.0 | 246 | 0.5492 | 0.8219 |
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| 0.2295 | 12.98 | 266 | 0.5889 | 0.7900 |
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| 0.1956 | 14.0 | 287 | 0.5670 | 0.7900 |
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| 0.2028 | 14.98 | 307 | 0.5460 | 0.7900 |
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| 0.1514 | 16.0 | 328 | 0.6587 | 0.7900 |
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| 0.0934 | 16.98 | 348 | 0.6131 | 0.7945 |
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| 0.1323 | 18.0 | 369 | 0.6615 | 0.7900 |
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| 0.1213 | 18.98 | 389 | 0.6192 | 0.7671 |
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| 0.1028 | 19.51 | 400 | 0.6168 | 0.7763 |
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### Framework versions
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model.safetensors
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runs/Nov03_15-58-22_7c480e808e53/events.out.tfevents.1699027107.7c480e808e53.2041.2
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