update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8181818181818182
+      value: 0.9444444444444444
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7098
-- Accuracy: 0.8182
+- Loss: 0.2924
+- Accuracy: 0.9444
 
 ## Model description
 
@@ -64,11 +64,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0041        | 3.57  | 50   | 0.5183          | 0.7576   |
-| 0.0006        | 7.14  | 100  | 0.7554          | 0.8182   |
-| 0.0004        | 10.71 | 150  | 0.7197          | 0.8182   |
-| 0.0003        | 14.29 | 200  | 0.7126          | 0.8182   |
-| 0.0003        | 17.86 | 250  | 0.7098          | 0.8182   |
+| 0.0169        | 3.33  | 50   | 0.5320          | 0.8056   |
+| 0.0008        | 6.67  | 100  | 0.3485          | 0.9167   |
+| 0.0004        | 10.0  | 150  | 0.2989          | 0.9444   |
+| 0.0004        | 13.33 | 200  | 0.2939          | 0.9444   |
+| 0.0003        | 16.67 | 250  | 0.2929          | 0.9444   |
+| 0.0003        | 20.0  | 300  | 0.2924          | 0.9444   |
 
 
 ### Framework versions