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 [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) 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: 0.7945205479452054
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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 [facebook/deit-small-patch16-224](https://huggingface.co/facebook/deit-small-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5615
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- Accuracy: 0.7945
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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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| 1.1803 | 0.98 | 20 | 1.0233 | 0.5753 |
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| 0.706 | 2.0 | 41 | 0.7299 | 0.7078 |
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| 0.6016 | 2.98 | 61 | 0.6877 | 0.7123 |
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| 0.4903 | 4.0 | 82 | 0.6139 | 0.7671 |
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| 0.4692 | 4.98 | 102 | 0.5667 | 0.7626 |
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| 0.374 | 6.0 | 123 | 0.5146 | 0.8037 |
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| 0.2995 | 6.98 | 143 | 0.5596 | 0.7534 |
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| 0.2905 | 8.0 | 164 | 0.5313 | 0.7534 |
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| 0.2612 | 8.98 | 184 | 0.5328 | 0.7900 |
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| 0.2499 | 10.0 | 205 | 0.5369 | 0.7991 |
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| 0.185 | 10.98 | 225 | 0.5754 | 0.7808 |
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| 0.1927 | 12.0 | 246 | 0.5886 | 0.7717 |
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| 0.1446 | 12.98 | 266 | 0.5160 | 0.7991 |
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| 0.155 | 14.0 | 287 | 0.5353 | 0.8082 |
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| 0.1577 | 14.98 | 307 | 0.5848 | 0.7808 |
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| 0.1243 | 16.0 | 328 | 0.5572 | 0.7991 |
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| 0.1038 | 16.98 | 348 | 0.5859 | 0.7763 |
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| 0.1305 | 18.0 | 369 | 0.5752 | 0.7900 |
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| 0.0868 | 18.98 | 389 | 0.5616 | 0.8037 |
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| 0.1364 | 19.51 | 400 | 0.5615 | 0.7945 |
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### Framework versions
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model.safetensors
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