update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.990228013029316
+      value: 0.9735294117647059
 ---
 
 <!-- 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: 0.0352
-- Accuracy: 0.9902
+- Loss: 0.0764
+- Accuracy: 0.9735
 
 ## Model description
 
@@ -66,10 +66,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3818        | 0.97  | 21   | 0.1545          | 0.9707   |
-| 0.2407        | 1.97  | 42   | 0.0768          | 0.9739   |
-| 0.1841        | 2.97  | 63   | 0.0439          | 0.9870   |
-| 0.1776        | 3.97  | 84   | 0.0352          | 0.9902   |
+| 0.4994        | 1.0   | 24   | 0.2253          | 0.9059   |
+| 0.2449        | 2.0   | 48   | 0.0806          | 0.9735   |
+| 0.1921        | 3.0   | 72   | 0.0640          | 0.9765   |
+| 0.1755        | 4.0   | 96   | 0.0764          | 0.9735   |
 
 
 ### Framework versions