update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.36936936936936937
+      value: 0.4144144144144144
 ---
 
 <!-- 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: 1.5200
-- Accuracy: 0.3694
+- Loss: 1.4755
+- Accuracy: 0.4144
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.9   | 7    | 1.5856          | 0.3694   |
-| 1.5994        | 1.9   | 14   | 1.5129          | 0.3694   |
-| 1.5007        | 2.9   | 21   | 1.5200          | 0.3694   |
+| No log        | 0.9   | 7    | 1.4947          | 0.4144   |
+| 1.5955        | 1.9   | 14   | 1.4784          | 0.4144   |
+| 1.4953        | 2.9   | 21   | 1.4755          | 0.4144   |
 
 
 ### Framework versions