update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9803703703703703
+      value: 0.9837037037037037
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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: 0.0573
-- Accuracy: 0.9804
+- Loss: 0.0581
+- Accuracy: 0.9837
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2221        | 1.0   | 190  | 0.0954          | 0.9726   |
-| 0.201         | 2.0   | 380  | 0.0752          | 0.9737   |
-| 0.1456        | 3.0   | 570  | 0.0573          | 0.9804   |
+| 0.2666        | 1.0   | 190  | 0.1364          | 0.9541   |
+| 0.1735        | 2.0   | 380  | 0.0970          | 0.9663   |
+| 0.126         | 3.0   | 570  | 0.0581          | 0.9837   |
 
 
 ### Framework versions