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# vit-base-nsfw-detector
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This model is a fine-tuned version of [vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on around
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It achieves the following results on the evaluation set:
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- Loss: 0.0937
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- Accuracy: 0.9654
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- Accuracy: 0.9654,
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- AUC: 0.9948
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Confusion Matrix:
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[1076 37]
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# vit-base-nsfw-detector
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This model is a fine-tuned version of [vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on around 25_000 images (drawings, photos...).
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It achieves the following results on the evaluation set:
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- Loss: 0.0937
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- Accuracy: 0.9654
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- Accuracy: 0.9654,
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- AUC: 0.9948
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Confusion Matrix (eval):
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[1076 37]
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