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swin-tiny-patch4-window7-224-category-classification

Image Classification
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  2. model.safetensors +1 -1
README.md CHANGED
@@ -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-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1410
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- - Accuracy: 0.6445
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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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- | 1.9251 | 0.9948 | 96 | 1.5364 | 0.5349 |
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- | 1.6301 | 2.0 | 193 | 1.3093 | 0.5978 |
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- | 1.4793 | 2.9948 | 289 | 1.2591 | 0.6074 |
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- | 1.4316 | 4.0 | 386 | 1.2434 | 0.6128 |
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- | 1.3424 | 4.9948 | 482 | 1.1883 | 0.6310 |
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- | 1.2867 | 6.0 | 579 | 1.1587 | 0.6371 |
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- | 1.2177 | 6.9948 | 675 | 1.1612 | 0.6366 |
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- | 1.2091 | 8.0 | 772 | 1.1456 | 0.6405 |
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- | 1.2191 | 8.9948 | 868 | 1.1359 | 0.6431 |
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- | 1.1983 | 9.9482 | 960 | 1.1387 | 0.6431 |
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1434
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+ - Accuracy: 0.6432
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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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+ | 1.89 | 0.9948 | 96 | 1.5075 | 0.5441 |
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+ | 1.6059 | 2.0 | 193 | 1.3103 | 0.5983 |
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+ | 1.4844 | 2.9948 | 289 | 1.2595 | 0.6107 |
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+ | 1.4392 | 4.0 | 386 | 1.2414 | 0.6152 |
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+ | 1.3431 | 4.9948 | 482 | 1.1954 | 0.6285 |
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+ | 1.2897 | 6.0 | 579 | 1.1611 | 0.6384 |
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+ | 1.2222 | 6.9948 | 675 | 1.1575 | 0.6417 |
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+ | 1.212 | 8.0 | 772 | 1.1474 | 0.6421 |
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+ | 1.2087 | 8.9948 | 868 | 1.1410 | 0.6445 |
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+ | 1.1897 | 9.9482 | 960 | 1.1434 | 0.6432 |
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  ### Framework versions
model.safetensors CHANGED
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