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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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  metrics:
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7148
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- - Accuracy: 0.4554
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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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- | No log | 1.0 | 8 | 0.7179 | 0.5179 |
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- | 0.7025 | 2.0 | 16 | 0.7101 | 0.4911 |
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- | 0.6762 | 3.0 | 24 | 0.7148 | 0.4554 |
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  ### Framework versions
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- - Transformers 4.30.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  ---
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  license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7128
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+ - Accuracy: 0.5291
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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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+ | No log | 1.0 | 7 | 0.7365 | 0.5112 |
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+ | 0.7147 | 2.0 | 14 | 0.7150 | 0.5022 |
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+ | 0.6763 | 3.0 | 21 | 0.7128 | 0.5291 |
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  ### Framework versions
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+ - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3