update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.75
+      value: 0.625
 ---
 
 <!-- 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: 1.0663
-- Accuracy: 0.75
+- Loss: 2.1539
+- Accuracy: 0.625
 
 ## Model description
 
@@ -64,9 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0002        | 6.67  | 100  | 0.9943          | 0.75     |
-| 0.0001        | 13.33 | 200  | 1.0497          | 0.75     |
-| 0.0001        | 20.0  | 300  | 1.0663          | 0.75     |
+| 0.0           | 10.0  | 100  | 2.1557          | 0.625    |
+| 0.0           | 20.0  | 200  | 2.1539          | 0.625    |
 
 
 ### Framework versions