Model save
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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 an unknown 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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| 0.063 | 7.0312 | 1800 | 0.3091 | 0.9277 |
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| 0.047 | 7.8125 | 2000 | 0.3907 | 0.9023 |
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| 0.0127 | 8.5938 | 2200 | 0.2002 | 0.9561 |
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| 0.0102 | 9.375 | 2400 | 0.3001 | 0.9307 |
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| 0.0086 | 10.1562 | 2600 | 0.1998 | 0.9512 |
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| 0.0073 | 10.9375 | 2800 | 0.1932 | 0.9590 |
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| 0.0064 | 11.7188 | 3000 | 0.1988 | 0.9561 |
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| 0.0056 | 12.5 | 3200 | 0.1993 | 0.9580 |
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| 0.0049 | 13.2812 | 3400 | 0.2047 | 0.9590 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1892
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- Accuracy: 0.9590
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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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| 0.4285 | 1.9531 | 500 | 0.4633 | 0.8311 |
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| 0.171 | 3.9062 | 1000 | 0.3237 | 0.8994 |
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| 0.0622 | 5.8594 | 1500 | 0.2032 | 0.9414 |
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| 0.0162 | 7.8125 | 2000 | 0.2413 | 0.9512 |
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| 0.0044 | 9.7656 | 2500 | 0.1623 | 0.9668 |
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| 0.003 | 11.7188 | 3000 | 0.1641 | 0.9668 |
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| 0.0025 | 13.6719 | 3500 | 0.1796 | 0.9619 |
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| 0.0019 | 15.625 | 4000 | 0.1892 | 0.9590 |
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### Framework versions
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model.safetensors
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size 343230128
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version https://git-lfs.github.com/spec/v1
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size 343230128
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