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Model save

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  1. README.md +6 -6
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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: 0.9748148148148148
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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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0716
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- - Accuracy: 0.9748
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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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- | 0.2409 | 1.0 | 190 | 0.1124 | 0.9667 |
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- | 0.2039 | 2.0 | 380 | 0.0964 | 0.9685 |
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- | 0.1254 | 3.0 | 570 | 0.0716 | 0.9748 |
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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: 0.977037037037037
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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 [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0702
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+ - Accuracy: 0.9770
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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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+ | 0.2433 | 1.0 | 190 | 0.1255 | 0.9585 |
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+ | 0.1721 | 2.0 | 380 | 0.0852 | 0.9704 |
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+ | 0.1388 | 3.0 | 570 | 0.0702 | 0.9770 |
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  ### Framework versions