Model save
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- model.safetensors +1 -1
README.md
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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.
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- Accuracy:
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## Model description
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### Training results
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| Training Loss | Epoch
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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: 0.1550
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- Accuracy: 0.9110
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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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| 1.2625 | 0.9756 | 10 | 1.0232 | 0.5890 |
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| 0.8162 | 1.9512 | 20 | 0.5373 | 0.8562 |
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| 0.3924 | 2.9268 | 30 | 0.2490 | 0.8904 |
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| 0.2528 | 4.0 | 41 | 0.2716 | 0.8767 |
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| 0.2311 | 4.9756 | 51 | 0.2250 | 0.8904 |
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| 0.2013 | 5.9512 | 61 | 0.2154 | 0.9110 |
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| 0.1955 | 6.9268 | 71 | 0.1769 | 0.9178 |
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| 0.1743 | 8.0 | 82 | 0.1451 | 0.9247 |
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| 0.1664 | 8.9756 | 92 | 0.1489 | 0.9178 |
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| 0.1503 | 9.9512 | 102 | 0.1964 | 0.8973 |
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| 0.1518 | 10.9268 | 112 | 0.1708 | 0.9110 |
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| 0.1456 | 12.0 | 123 | 0.1499 | 0.9041 |
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| 0.1307 | 12.9756 | 133 | 0.1584 | 0.9041 |
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| 0.1546 | 13.9512 | 143 | 0.1673 | 0.9110 |
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| 0.1282 | 14.9268 | 153 | 0.1546 | 0.9041 |
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| 0.121 | 16.0 | 164 | 0.1631 | 0.9041 |
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| 0.1311 | 16.9756 | 174 | 0.1486 | 0.9041 |
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| 0.1259 | 17.9512 | 184 | 0.1643 | 0.9178 |
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| 0.1254 | 18.9268 | 194 | 0.1569 | 0.9110 |
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| 0.1039 | 19.5122 | 200 | 0.1550 | 0.9110 |
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### Framework versions
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model.safetensors
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