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Model save

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  1. README.md +9 -9
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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0038
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- - Accuracy: 0.9989
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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 | 1147 | 0.0393 | 0.9877 |
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- | No log | 2.0 | 2294 | 0.0201 | 0.9921 |
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- | No log | 3.0 | 3441 | 0.0089 | 0.9964 |
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- | No log | 4.0 | 4588 | 0.0071 | 0.9971 |
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- | 0.1453 | 5.0 | 5735 | 0.0038 | 0.9989 |
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  ### Framework versions
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- - Transformers 4.37.2
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  - Pytorch 2.3.1+cpu
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  - Datasets 2.20.0
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- - Tokenizers 0.15.1
 
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  This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0054
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+ - Accuracy: 0.9980
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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 | 1147 | 0.0769 | 0.9750 |
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+ | No log | 2.0 | 2294 | 0.0221 | 0.9917 |
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+ | No log | 3.0 | 3441 | 0.0157 | 0.9956 |
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+ | No log | 4.0 | 4588 | 0.0074 | 0.9973 |
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+ | 0.1493 | 5.0 | 5735 | 0.0054 | 0.9980 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.3.1+cpu
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1