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Image Classification
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swin
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  1. README.md +14 -14
  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: 0.9448669201520913
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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: 0.1727
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- - Accuracy: 0.9449
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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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- | 0.2646 | 1.0 | 74 | 0.1974 | 0.9392 |
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- | 0.2287 | 2.0 | 148 | 0.1979 | 0.9354 |
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- | 0.198 | 3.0 | 222 | 0.1727 | 0.9449 |
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- | 0.1889 | 4.0 | 296 | 0.1747 | 0.9430 |
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- | 0.223 | 5.0 | 370 | 0.1711 | 0.9449 |
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- | 0.1771 | 6.0 | 444 | 0.1697 | 0.9382 |
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- | 0.1864 | 7.0 | 518 | 0.1672 | 0.9392 |
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- | 0.1716 | 8.0 | 592 | 0.1801 | 0.9430 |
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- | 0.192 | 9.0 | 666 | 0.1754 | 0.9411 |
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- | 0.1886 | 10.0 | 740 | 0.1766 | 0.9420 |
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  ### Framework versions
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  - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9757751937984496
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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: 0.0937
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+ - Accuracy: 0.9758
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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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+ | 0.0898 | 0.99 | 72 | 0.1245 | 0.9428 |
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+ | 0.152 | 1.99 | 145 | 0.0811 | 0.9748 |
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+ | 0.1235 | 3.0 | 218 | 0.0958 | 0.9700 |
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+ | 0.1065 | 4.0 | 291 | 0.0748 | 0.9777 |
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+ | 0.1115 | 4.99 | 363 | 0.0947 | 0.9729 |
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+ | 0.0804 | 5.99 | 436 | 0.0888 | 0.9758 |
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+ | 0.0722 | 7.0 | 509 | 0.0827 | 0.9758 |
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+ | 0.061 | 8.0 | 582 | 0.0899 | 0.9758 |
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+ | 0.0706 | 8.99 | 654 | 0.0916 | 0.9758 |
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+ | 0.0633 | 9.9 | 720 | 0.0937 | 0.9758 |
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  ### Framework versions
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  - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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