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exper1_mesum5

Image Classification
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vit
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update model card README.md

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  ---
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  license: apache-2.0
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  tags:
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -14,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # exper1_mesum5
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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 None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6401
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  - Accuracy: 0.8278
 
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  ---
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  license: apache-2.0
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  tags:
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+ - image-classification
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  # exper1_mesum5
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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 sudo-s/herbier_mesuem5 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6401
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  - Accuracy: 0.8278