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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: 0.9431968295904888
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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: 0.1607
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- - Accuracy: 0.9432
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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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- | 1.3107 | 0.9684 | 23 | 0.6132 | 0.8349 |
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- | 0.4128 | 1.9789 | 47 | 0.2504 | 0.9234 |
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- | 0.3188 | 2.9895 | 71 | 0.2079 | 0.9313 |
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- | 0.2457 | 4.0 | 95 | 0.1969 | 0.9287 |
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- | 0.238 | 4.9684 | 118 | 0.1951 | 0.9379 |
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- | 0.2 | 5.9789 | 142 | 0.1709 | 0.9419 |
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- | 0.2037 | 6.9895 | 166 | 0.1744 | 0.9432 |
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- | 0.1818 | 8.0 | 190 | 0.1634 | 0.9419 |
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- | 0.1838 | 8.9684 | 213 | 0.1609 | 0.9458 |
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- | 0.1769 | 9.6842 | 230 | 0.1607 | 0.9432 |
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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: 0.9365918097754293
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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: 0.1652
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+ - Accuracy: 0.9366
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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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+ | 1.263 | 0.9684 | 23 | 0.5365 | 0.8732 |
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+ | 0.3861 | 1.9789 | 47 | 0.2132 | 0.9194 |
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+ | 0.3085 | 2.9895 | 71 | 0.2006 | 0.9194 |
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+ | 0.2545 | 4.0 | 95 | 0.1869 | 0.9339 |
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+ | 0.2407 | 4.9684 | 118 | 0.1751 | 0.9392 |
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+ | 0.2092 | 5.9789 | 142 | 0.1681 | 0.9432 |
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+ | 0.1941 | 6.9895 | 166 | 0.1666 | 0.9366 |
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+ | 0.1758 | 8.0 | 190 | 0.1696 | 0.9406 |
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+ | 0.1846 | 8.9684 | 213 | 0.1659 | 0.9326 |
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+ | 0.1825 | 9.6842 | 230 | 0.1652 | 0.9366 |
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  ### Framework versions
model.safetensors CHANGED
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