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  1. README.md +11 -11
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@@ -18,7 +18,7 @@ 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: 0.0496
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  - Accuracy: 0.9778
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  ## Model description
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.0282 | 1.0 | 5 | 0.7965 | 0.7111 |
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- | 0.6572 | 2.0 | 10 | 0.3109 | 0.9630 |
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- | 0.3913 | 3.0 | 15 | 0.1849 | 0.9630 |
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- | 0.2707 | 4.0 | 20 | 0.1380 | 0.9630 |
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- | 0.1767 | 5.0 | 25 | 0.0945 | 0.9704 |
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- | 0.1469 | 6.0 | 30 | 0.0885 | 0.9704 |
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- | 0.1316 | 7.0 | 35 | 0.0735 | 0.9778 |
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- | 0.1272 | 8.0 | 40 | 0.0705 | 0.9778 |
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- | 0.1116 | 9.0 | 45 | 0.0514 | 0.9778 |
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- | 0.1114 | 10.0 | 50 | 0.0496 | 0.9778 |
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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: 0.0883
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  - Accuracy: 0.9778
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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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+ | 1.044 | 1.0 | 5 | 0.7938 | 0.7037 |
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+ | 0.6896 | 2.0 | 10 | 0.3659 | 0.9333 |
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+ | 0.4245 | 3.0 | 15 | 0.2152 | 0.9481 |
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+ | 0.3095 | 4.0 | 20 | 0.1507 | 0.9556 |
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+ | 0.1727 | 5.0 | 25 | 0.1294 | 0.9630 |
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+ | 0.1569 | 6.0 | 30 | 0.1200 | 0.9630 |
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+ | 0.145 | 7.0 | 35 | 0.1116 | 0.9704 |
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+ | 0.1363 | 8.0 | 40 | 0.1136 | 0.9704 |
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+ | 0.1258 | 9.0 | 45 | 0.0912 | 0.9778 |
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+ | 0.1161 | 10.0 | 50 | 0.0883 | 0.9778 |
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  ### Framework versions