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 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: 0.7773
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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 imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5360
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- Accuracy: 0.7773
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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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| 0.5827 | 0.58 | 150 | 0.5508 | 0.7031 |
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| 0.5214 | 1.16 | 300 | 0.5115 | 0.7598 |
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| 0.4925 | 1.74 | 450 | 0.4870 | 0.7555 |
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| 0.4148 | 2.33 | 600 | 0.4447 | 0.7948 |
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| 0.4025 | 2.91 | 750 | 0.5507 | 0.7424 |
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| 0.3627 | 3.49 | 900 | 0.4578 | 0.7904 |
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| 0.3441 | 4.07 | 1050 | 0.4699 | 0.8188 |
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| 0.3257 | 4.65 | 1200 | 0.4729 | 0.7817 |
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| 0.2488 | 5.23 | 1350 | 0.4971 | 0.7817 |
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| 0.3127 | 5.81 | 1500 | 0.5360 | 0.7773 |
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### Framework versions
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model.safetensors
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