update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9494949494949495
+      value: 0.9191919191919192
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the image_folder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3048
-- Accuracy: 0.9495
+- Loss: 0.3466
+- Accuracy: 0.9192
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 0.4337          | 0.8586   |
-| 0.459         | 2.0   | 14   | 0.3404          | 0.9091   |
-| 0.3215        | 3.0   | 21   | 0.3048          | 0.9495   |
+| No log        | 1.0   | 7    | 0.5093          | 0.8485   |
+| 0.6079        | 2.0   | 14   | 0.3856          | 0.8990   |
+| 0.4418        | 3.0   | 21   | 0.3466          | 0.9192   |
 
 
 ### Framework versions