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  1. README.md +13 -13
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@@ -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: 0.7713178294573644
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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: 0.5588
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- - Accuracy: 0.7713
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  ## Model description
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@@ -67,16 +67,16 @@ 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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- | 1.047 | 0.99 | 18 | 0.8238 | 0.6667 |
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- | 0.7685 | 1.97 | 36 | 0.7295 | 0.6705 |
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- | 0.7036 | 2.96 | 54 | 0.6794 | 0.6977 |
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- | 0.6215 | 4.0 | 73 | 0.6780 | 0.7093 |
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- | 0.5409 | 4.99 | 91 | 0.5864 | 0.7519 |
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- | 0.5165 | 5.97 | 109 | 0.5343 | 0.7713 |
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- | 0.4803 | 6.96 | 127 | 0.6034 | 0.7326 |
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- | 0.4328 | 8.0 | 146 | 0.6063 | 0.7326 |
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- | 0.4125 | 8.99 | 164 | 0.5815 | 0.7558 |
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- | 0.4237 | 9.86 | 180 | 0.5588 | 0.7713 |
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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: 0.7674418604651163
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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: 0.6503
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+ - Accuracy: 0.7674
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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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+ | 1.0764 | 0.99 | 18 | 0.8915 | 0.6318 |
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+ | 0.7888 | 1.97 | 36 | 0.7533 | 0.6860 |
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+ | 0.707 | 2.96 | 54 | 0.7525 | 0.6977 |
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+ | 0.6115 | 4.0 | 73 | 0.6723 | 0.7403 |
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+ | 0.5552 | 4.99 | 91 | 0.7092 | 0.7093 |
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+ | 0.5057 | 5.97 | 109 | 0.6733 | 0.7326 |
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+ | 0.4761 | 6.96 | 127 | 0.6893 | 0.7326 |
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+ | 0.4393 | 8.0 | 146 | 0.6933 | 0.7287 |
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+ | 0.4284 | 8.99 | 164 | 0.6348 | 0.7519 |
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+ | 0.4084 | 9.86 | 180 | 0.6503 | 0.7674 |
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  ### Framework versions