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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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xet
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  1. README.md +10 -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: 0.0883
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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
 
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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: 0.4053
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+ - Accuracy: 0.9091
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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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+ | 1.3313 | 0.8 | 1 | 1.0682 | 0.3030 |
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+ | 1.2576 | 1.6 | 2 | 0.8504 | 0.7879 |
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+ | 1.0651 | 2.4 | 3 | 0.7269 | 0.7576 |
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+ | 0.4774 | 4.0 | 5 | 0.5602 | 0.8485 |
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+ | 0.8084 | 4.8 | 6 | 0.5004 | 0.9091 |
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+ | 0.7194 | 5.6 | 7 | 0.4590 | 0.9091 |
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+ | 0.6712 | 6.4 | 8 | 0.4304 | 0.9091 |
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+ | 0.3522 | 8.0 | 10 | 0.4053 | 0.9091 |
 
 
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  ### Framework versions
model.safetensors CHANGED
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