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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: 0.0630
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- Accuracy: 0.9850
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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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| 0.0465 | 0.36 | 500 | 0.1289 | 0.9612 |
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| 0.0253 | 0.71 | 1000 | 0.0983 | 0.9693 |
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| 0.008 | 1.07 | 1500 | 0.0957 | 0.9728 |
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| 0.0569 | 1.43 | 2000 | 0.0668 | 0.9793 |
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| 0.035 | 1.79 | 2500 | 0.0865 | 0.9752 |
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| 0.0034 | 2.14 | 3000 | 0.0748 | 0.9773 |
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| 0.0638 | 2.5 | 3500 | 0.0708 | 0.9805 |
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| 0.0195 | 2.86 | 4000 | 0.0782 | 0.9821 |
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| 0.0012 | 3.21 | 4500 | 0.0739 | 0.9820 |
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| 0.0013 | 3.57 | 5000 | 0.0680 | 0.9845 |
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| 0.0417 | 3.93 | 5500 | 0.0630 | 0.9850 |
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### Framework versions
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