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bombshelll
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swin-brain-plane-classification

Image Classification
Transformers
Safetensors
swin
Generated from Trainer
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  1. README.md +14 -12
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.1255
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- - Accuracy: 0.9703
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.4715 | 0.8 | 3 | 1.0450 | 0.4653 |
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- | 0.8696 | 1.8667 | 7 | 0.7097 | 0.8416 |
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- | 0.638 | 2.9333 | 11 | 0.3983 | 0.9208 |
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- | 0.4098 | 4.0 | 15 | 0.2738 | 0.9208 |
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- | 0.4351 | 4.8 | 18 | 0.1882 | 0.9505 |
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- | 0.2612 | 5.8667 | 22 | 0.1405 | 0.9604 |
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- | 0.218 | 6.9333 | 26 | 0.1302 | 0.9703 |
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- | 0.2256 | 8.0 | 30 | 0.1255 | 0.9703 |
 
 
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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: 0.0556
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+ - Accuracy: 0.9778
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  ## Model description
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  ### Training results
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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
model.safetensors CHANGED
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