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README.md
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-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: 0.8182
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.
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| 0.0004 | 10.71 | 150 | 0.
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| 0.0003 | 14.29 | 200 | 0.
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| 0.0003 | 17.86 | 250 | 0.
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### Framework versions
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7675
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- Accuracy: 0.8182
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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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| 0.004 | 3.57 | 50 | 1.0744 | 0.7576 |
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| 0.0005 | 7.14 | 100 | 0.8182 | 0.7879 |
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| 0.0004 | 10.71 | 150 | 0.7808 | 0.7879 |
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| 0.0003 | 14.29 | 200 | 0.7710 | 0.8182 |
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| 0.0003 | 17.86 | 250 | 0.7675 | 0.8182 |
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### Framework versions
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