update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9343949044585987
+      value: 0.9388535031847134
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4632
-- Accuracy: 0.9344
+- Loss: 0.4624
+- Accuracy: 0.9389
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0217        | 1.0   | 98   | 0.8864          | 0.8987   |
-| 0.5228        | 1.99  | 196  | 0.5534          | 0.9236   |
-| 0.4567        | 2.99  | 294  | 0.4632          | 0.9344   |
+| 1.0567        | 1.0   | 98   | 0.9068          | 0.8981   |
+| 0.5929        | 1.99  | 196  | 0.5183          | 0.9408   |
+| 0.4728        | 2.99  | 294  | 0.4624          | 0.9389   |
 
 
 ### Framework versions