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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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- - image-classification
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- - vision
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  - generated_from_trainer
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  datasets:
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  - beans
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9924812030075187
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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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  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 beans dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0818
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- - Accuracy: 0.9925
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  ## Model description
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  ### Framework versions
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- - Transformers 4.29.0.dev0
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3
 
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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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  - beans
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9849624060150376
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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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  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 beans dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.9850
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+ - Loss: 0.0826
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  ## Model description
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  ### Framework versions
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+ - Transformers 4.28.1
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3