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README.md
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# giecom-vit-model-clasification-waste
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It achieves the following results on the evaluation set:
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- Loss: 0.0066
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- Accuracy: 0.9974
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# giecom-vit-model-clasification-waste
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his model is a fine-tuned version performed by Miguel Calderon of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0066
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- Accuracy: 0.9974
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