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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.884
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 food101 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6462
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- - Accuracy: 0.884
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  ## Model description
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@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 2.6957 | 0.99 | 62 | 2.5513 | 0.828 |
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- | 1.8745 | 1.99 | 124 | 1.8179 | 0.878 |
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- | 1.6181 | 2.99 | 186 | 1.6462 | 0.884 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.919
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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 food101 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5535
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+ - Accuracy: 0.919
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6646 | 0.99 | 62 | 2.4866 | 0.845 |
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+ | 1.8188 | 1.99 | 124 | 1.7292 | 0.898 |
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+ | 1.5637 | 2.99 | 186 | 1.5535 | 0.919 |
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  ### Framework versions