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bombshelll
/
swin-brain-modality-classification

Image Classification
Transformers
Safetensors
swin
Generated from Trainer
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xet
 Community
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  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. training_args.bin +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: 0.0936
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- - Accuracy: 0.9732
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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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- | 1.0321 | 1.0 | 8 | 0.4428 | 0.9107 |
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- | 0.2723 | 2.0 | 16 | 0.1365 | 0.9464 |
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- | 0.1226 | 3.0 | 24 | 0.0936 | 0.9732 |
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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: 0.0349
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+ - Accuracy: 0.9821
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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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+ | 0.7628 | 1.0 | 12 | 0.1582 | 0.9702 |
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+ | 0.1095 | 2.0 | 24 | 0.0339 | 0.9881 |
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+ | 0.0597 | 3.0 | 36 | 0.0349 | 0.9821 |
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  ### Framework versions
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