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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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  datasets:
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  - mnist
 
 
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  model-index:
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  - name: mnist-digit-classification-2022-09-04
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # mnist-digit-classification-2022-09-04
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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 mnist dataset.
 
 
 
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  ## Model description
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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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+ - vision
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  - generated_from_trainer
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  datasets:
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  - mnist
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: mnist-digit-classification-2022-09-04
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+ results:
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+ - task:
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+ name: Image Classification
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+ type: image-classification
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+ dataset:
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+ name: mnist
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+ type: mnist
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+ config: mnist
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+ split: train
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+ args: mnist
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9923333333333333
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # mnist-digit-classification-2022-09-04
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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 mnist dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0319
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+ - Accuracy: 0.9923
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  ## Model description
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