update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.879
+      value: 0.891
 ---
 
 <!-- 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 food101 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6485
-- Accuracy: 0.879
+- Loss: 1.6134
+- Accuracy: 0.891
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6972        | 0.99  | 62   | 2.5303          | 0.828    |
-| 1.8059        | 2.0   | 125  | 1.7849          | 0.865    |
-| 1.5974        | 2.98  | 186  | 1.6485          | 0.879    |
+| 2.6875        | 0.99  | 62   | 2.5089          | 0.851    |
+| 1.7848        | 2.0   | 125  | 1.7689          | 0.878    |
+| 1.5862        | 2.98  | 186  | 1.6134          | 0.891    |
 
 
 ### Framework versions