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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 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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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.1952 | 7.56 | 900 | 0.2867 |
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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2771
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3737 | 0.89 | 100 | 0.3702 |
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| 0.3208 | 1.79 | 200 | 0.3308 |
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| 0.2681 | 2.68 | 300 | 0.2977 |
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| 0.2334 | 3.57 | 400 | 0.2875 |
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| 0.2093 | 4.46 | 500 | 0.2840 |
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| 0.1989 | 5.36 | 600 | 0.2798 |
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| 0.1801 | 6.25 | 700 | 0.2785 |
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| 0.1707 | 7.14 | 800 | 0.2771 |
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### Framework versions
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