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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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  - gtsrb
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  name: Image Classification
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  type: image-classification
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  dataset:
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- name: gtsrb
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  type: gtsrb
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  args: gtsrb
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9989799387963277
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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
@@ -27,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-beans
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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 gtsrb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0038
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- - Accuracy: 0.9990
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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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  - gtsrb
 
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  name: Image Classification
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  type: image-classification
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  dataset:
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+ name: bazyl/GTSRB
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  type: gtsrb
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  args: gtsrb
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9993199591975519
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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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  # vit-base-beans
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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 bazyl/GTSRB dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0034
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+ - Accuracy: 0.9993
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  ## Model description
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