update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9684
+      value: 0.97
 ---
 
 <!-- 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 cifar10 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0993
-- Accuracy: 0.9684
+- Loss: 0.0893
+- Accuracy: 0.97
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4694        | 1.0   | 351  | 0.1438          | 0.9514   |
-| 0.406         | 2.0   | 703  | 0.1064          | 0.9652   |
-| 0.3475        | 2.99  | 1053 | 0.0993          | 0.9684   |
+| 0.5255        | 1.0   | 351  | 0.1262          | 0.9596   |
+| 0.3808        | 2.0   | 703  | 0.1031          | 0.9652   |
+| 0.3268        | 2.99  | 1053 | 0.0893          | 0.97     |
 
 
 ### Framework versions