Model save
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- model.safetensors +1 -1
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: 0.9692
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- Confusion Matrix: [[60, 6], [1, 160]]
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Confusion Matrix |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
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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: 0.1124
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- Accuracy: 0.9692
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- Confusion Matrix: [[60, 6], [1, 160]]
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Confusion Matrix |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------------:|
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| 0.1265 | 1.7544 | 100 | 0.1512 | 0.9692 | [[59, 7], [0, 161]] |
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| 0.0892 | 3.5088 | 200 | 0.1124 | 0.9692 | [[60, 6], [1, 160]] |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343223968
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