bombshelll
/

swin-brain-abnormalities-classification

Image Classification

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bombshelll commited on Nov 2, 2024

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.1882
-- Accuracy: 0.9226
 ## Model description
@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.1388        | 0.9778 | 33   | 0.1735          | 0.9310   |
-| 0.1314        | 1.9556 | 66   | 0.1882          | 0.9226   |
 ### Framework versions

 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.
 It achieves the following results on the evaluation set:
+- Loss: 0.2434
+- Accuracy: 0.9017
 ## Model description
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2758        | 0.9778 | 33   | 0.2325          | 0.8954   |
+| 0.1863        | 1.9556 | 66   | 0.2434          | 0.9017   |
 ### Framework versions