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bombshelll
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swin-brain-abnormalities-classification

Image Classification
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swin
Generated from Trainer
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  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: 0.0423
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- - Accuracy: 0.9854
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  ## Model description
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@@ -51,12 +51,28 @@ The following hyperparameters were used during training:
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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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- | 0.4614 | 0.9778 | 33 | 0.3315 | 0.8619 |
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- | 0.231 | 1.9852 | 67 | 0.2779 | 0.8808 |
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- | 0.1631 | 2.9926 | 101 | 0.2769 | 0.8808 |
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- | 0.1141 | 4.0 | 135 | 0.0423 | 0.9854 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 0.1451
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+ - Accuracy: 0.9593
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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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+ | 0.7845 | 0.9639 | 20 | 0.5746 | 0.7661 |
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+ | 0.4587 | 1.9759 | 41 | 0.2931 | 0.8780 |
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+ | 0.3004 | 2.9880 | 62 | 0.2784 | 0.8949 |
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+ | 0.2379 | 4.0 | 83 | 0.1557 | 0.9356 |
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+ | 0.1845 | 4.9639 | 103 | 0.1520 | 0.9492 |
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+ | 0.1445 | 5.9759 | 124 | 0.1450 | 0.9525 |
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+ | 0.1557 | 6.9880 | 145 | 0.1189 | 0.9525 |
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+ | 0.1503 | 8.0 | 166 | 0.1201 | 0.9559 |
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+ | 0.1446 | 8.9639 | 186 | 0.1279 | 0.9627 |
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+ | 0.1368 | 9.9759 | 207 | 0.1393 | 0.9593 |
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+ | 0.111 | 10.9880 | 228 | 0.1771 | 0.9627 |
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+ | 0.118 | 12.0 | 249 | 0.1591 | 0.9627 |
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+ | 0.099 | 12.9639 | 269 | 0.1527 | 0.9593 |
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+ | 0.0888 | 13.9759 | 290 | 0.1668 | 0.9559 |
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+ | 0.0768 | 14.9880 | 311 | 0.1303 | 0.9661 |
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+ | 0.0776 | 16.0 | 332 | 0.1430 | 0.9661 |
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+ | 0.0853 | 16.9639 | 352 | 0.1605 | 0.9593 |
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+ | 0.07 | 17.9759 | 373 | 0.1659 | 0.9593 |
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+ | 0.0705 | 18.9880 | 394 | 0.1455 | 0.9593 |
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+ | 0.0712 | 19.2771 | 400 | 0.1451 | 0.9593 |
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  ### Framework versions
model.safetensors CHANGED
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