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vintage-lavender619
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swin-tiny-patch4-window7-224-finalterm

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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -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: 0.9313077939233818
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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: 0.1837
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- - Accuracy: 0.9313
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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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- | 1.2727 | 0.9684 | 23 | 0.5536 | 0.8336 |
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- | 0.3845 | 1.9789 | 47 | 0.2386 | 0.9115 |
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- | 0.2725 | 2.9895 | 71 | 0.2135 | 0.9234 |
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- | 0.2442 | 4.0 | 95 | 0.2291 | 0.9075 |
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- | 0.2097 | 4.9684 | 118 | 0.1964 | 0.9207 |
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- | 0.2237 | 5.9789 | 142 | 0.1920 | 0.9287 |
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- | 0.2199 | 6.9895 | 166 | 0.1844 | 0.9353 |
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- | 0.2209 | 8.0 | 190 | 0.1857 | 0.9273 |
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- | 0.1717 | 8.9684 | 213 | 0.1842 | 0.9313 |
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- | 0.1754 | 9.6842 | 230 | 0.1837 | 0.9313 |
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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: 0.9326287978863936
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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: 0.1890
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+ - Accuracy: 0.9326
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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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+ | 1.2544 | 0.9684 | 23 | 0.5278 | 0.8692 |
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+ | 0.3694 | 1.9789 | 47 | 0.2528 | 0.9049 |
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+ | 0.2816 | 2.9895 | 71 | 0.2065 | 0.9234 |
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+ | 0.2292 | 4.0 | 95 | 0.1986 | 0.9247 |
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+ | 0.2193 | 4.9684 | 118 | 0.1991 | 0.9168 |
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+ | 0.2286 | 5.9789 | 142 | 0.1913 | 0.9339 |
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+ | 0.1887 | 6.9895 | 166 | 0.1932 | 0.9247 |
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+ | 0.1905 | 8.0 | 190 | 0.1883 | 0.9287 |
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+ | 0.1692 | 8.9684 | 213 | 0.1891 | 0.9326 |
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+ | 0.1767 | 9.6842 | 230 | 0.1890 | 0.9326 |
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  ### Framework versions
model.safetensors CHANGED
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