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  1. README.md +11 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -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: 0.0556
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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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- | 1.0606 | 1.0 | 5 | 0.7887 | 0.8741 |
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- | 0.7256 | 2.0 | 10 | 0.3949 | 0.9111 |
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- | 0.4331 | 3.0 | 15 | 0.1731 | 0.9704 |
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- | 0.3165 | 4.0 | 20 | 0.1250 | 0.9630 |
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- | 0.1827 | 5.0 | 25 | 0.0847 | 0.9704 |
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- | 0.1488 | 6.0 | 30 | 0.0919 | 0.9630 |
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- | 0.1425 | 7.0 | 35 | 0.0604 | 0.9778 |
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- | 0.1487 | 8.0 | 40 | 0.0718 | 0.9778 |
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- | 0.118 | 9.0 | 45 | 0.0578 | 0.9778 |
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- | 0.1278 | 10.0 | 50 | 0.0556 | 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: 0.0620
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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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+ | 1.1833 | 1.0 | 5 | 0.9676 | 0.6074 |
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+ | 0.8399 | 2.0 | 10 | 0.5347 | 0.8593 |
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+ | 0.5341 | 3.0 | 15 | 0.2380 | 0.9481 |
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+ | 0.3583 | 4.0 | 20 | 0.1324 | 0.9630 |
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+ | 0.2197 | 5.0 | 25 | 0.1311 | 0.9556 |
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+ | 0.1995 | 6.0 | 30 | 0.0870 | 0.9778 |
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+ | 0.1485 | 7.0 | 35 | 0.1107 | 0.9778 |
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+ | 0.1689 | 8.0 | 40 | 0.0798 | 0.9778 |
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+ | 0.1339 | 9.0 | 45 | 0.0588 | 0.9852 |
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+ | 0.1623 | 10.0 | 50 | 0.0620 | 0.9778 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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