update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7296969696969697
+      value: 0.7321212121212122
 ---
 
 <!-- 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: 0.5135
-- Accuracy: 0.7297
+- Loss: 0.5392
+- Accuracy: 0.7321
 
 ## Model description
 
@@ -66,12 +66,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6197        | 1.0   | 58   | 0.6089          | 0.6558   |
-| 0.5984        | 2.0   | 116  | 0.5503          | 0.7103   |
-| 0.5664        | 3.0   | 174  | 0.5392          | 0.7321   |
-| 0.5645        | 4.0   | 232  | 0.5388          | 0.7261   |
-| 0.5467        | 5.0   | 290  | 0.5143          | 0.7321   |
-| 0.5316        | 6.0   | 348  | 0.5135          | 0.7297   |
+| 0.574         | 1.0   | 58   | 0.5392          | 0.7321   |
+| 0.5784        | 2.0   | 116  | 0.5392          | 0.7321   |
+| 0.5476        | 3.0   | 174  | 0.5392          | 0.7321   |
+| 0.5571        | 4.0   | 232  | 0.5392          | 0.7321   |
+| 0.5577        | 5.0   | 290  | 0.5392          | 0.7321   |
+| 0.5625        | 6.0   | 348  | 0.5392          | 0.7321   |
 
 
 ### Framework versions