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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 beans dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0711
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- Accuracy: 0.9850
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 0.3303 | 1.0 | 130 | 0.
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| 0.1519 | 2.0 | 260 | 0.
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| 0.1879 | 3.0 | 390 | 0.
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| 0.1189 | 4.0 | 520 | 0.
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| 0.1095 | 5.0 | 650 | 0.
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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 beans dataset.
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It achieves the following results on the evaluation set:
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- Accuracy: 0.9850
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- Loss: 0.0711
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 0.3303 | 1.0 | 130 | 0.9624 | 0.2543 |
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| 0.1519 | 2.0 | 260 | 0.9850 | 0.1059 |
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| 0.1879 | 3.0 | 390 | 0.9850 | 0.0908 |
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| 0.1189 | 4.0 | 520 | 0.9850 | 0.0714 |
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| 0.1095 | 5.0 | 650 | 0.9850 | 0.0711 |
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### Framework versions
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