End of training
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README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None 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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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2879
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- Accuracy: 0.9152
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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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| 1.3233 | 1.0 | 25 | 0.8780 | 0.7781 |
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| 0.6368 | 2.0 | 50 | 0.5324 | 0.8529 |
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| 0.4085 | 3.0 | 75 | 0.4805 | 0.8628 |
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| 0.2893 | 4.0 | 100 | 0.3767 | 0.9002 |
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| 0.2257 | 5.0 | 125 | 0.3576 | 0.8978 |
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| 0.1179 | 6.0 | 150 | 0.2879 | 0.9152 |
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### Framework versions
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