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update model card README.md

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@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.944
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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
@@ -32,8 +32,8 @@ 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: 0.8639
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- - Accuracy: 0.944
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  ## Model description
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@@ -67,9 +67,9 @@ 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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- | 3.0782 | 0.99 | 35 | 2.4007 | 0.822 |
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- | 1.3449 | 1.99 | 70 | 1.1722 | 0.904 |
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- | 0.9413 | 2.98 | 105 | 0.8639 | 0.944 |
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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: 0.89
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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: 2.1839
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+ - Accuracy: 0.89
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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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+ | 3.5351 | 0.99 | 35 | 3.1080 | 0.84 |
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+ | 2.5064 | 1.99 | 70 | 2.3774 | 0.872 |
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+ | 2.2501 | 2.98 | 105 | 2.1839 | 0.89 |
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  ### Framework versions