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update model card README.md

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # vit-base-highways-2
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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 highways-hacktum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2196
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- - Accuracy: 0.96
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  ## Model description
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@@ -42,18 +42,19 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.0012 | 1.59 | 100 | 0.2196 | 0.96 |
 
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  ### Framework versions
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- - Transformers 4.24.0
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- - Pytorch 1.12.1+cu113
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- - Datasets 2.7.0
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  - Tokenizers 0.13.2
 
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  # vit-base-highways-2
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5075
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+ - Accuracy: 0.7
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.018 | 4.17 | 100 | 1.2669 | 0.7 |
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+ | 0.0326 | 8.33 | 200 | 1.5075 | 0.7 |
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  ### Framework versions
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+ - Transformers 4.27.2
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.10.1
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  - Tokenizers 0.13.2