update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9818518518518519
+      value: 0.9792592592592593
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.0658
-- Accuracy: 0.9819
+- Loss: 0.0557
+- Accuracy: 0.9793
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.249         | 1.0   | 190  | 0.1312          | 0.9593   |
-| 0.1683        | 2.0   | 380  | 0.0799          | 0.9744   |
-| 0.1138        | 3.0   | 570  | 0.0658          | 0.9819   |
+| 0.24          | 1.0   | 190  | 0.1153          | 0.9619   |
+| 0.1665        | 2.0   | 380  | 0.0798          | 0.9737   |
+| 0.1392        | 3.0   | 570  | 0.0557          | 0.9793   |
 
 
 ### Framework versions