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🍻 cheers

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  1. README.md +3 -2
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  ---
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  license: apache-2.0
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- base_model: google/vit-base-patch16-224-in21k
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  tags:
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  - image-classification
 
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  - generated_from_trainer
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  datasets:
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  - imagefolder
@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-finetune-scrap
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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 d071696/scraps1 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9895
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  - Accuracy: 1.0
 
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  ---
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  license: apache-2.0
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+ base_model: d071696/vit-finetune-scrap
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  tags:
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  - image-classification
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+ - image-to-text
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  - generated_from_trainer
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  datasets:
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  - imagefolder
 
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  # vit-finetune-scrap
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+ This model is a fine-tuned version of [d071696/vit-finetune-scrap](https://huggingface.co/d071696/vit-finetune-scrap) on the d071696/scraps1 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9895
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  - Accuracy: 1.0