mianujmi
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swin-tiny-patch4-window7-224-finetuned-eurosat

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mianujmi commited on Sep 19

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@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9504950495049505
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1311
-- Accuracy: 0.9505
 ## Model description
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1507        | 1.0   | 409  | 0.1311          | 0.9505   |
 ### Framework versions

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.944994499449945
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1748
+- Accuracy: 0.9450
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2147        | 1.0   | 409  | 0.1748          | 0.9450   |
 ### Framework versions