update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.796
+      value: 0.785
 ---
 
 <!-- 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 fashion_mnist dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8182
-- Accuracy: 0.796
+- Loss: 0.8596
+- Accuracy: 0.785
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3152        | 0.99  | 62   | 1.2059          | 0.75     |
-| 0.9175        | 2.0   | 125  | 0.8880          | 0.784    |
-| 0.8417        | 2.98  | 186  | 0.8182          | 0.796    |
+| 1.3171        | 0.99  | 62   | 1.1960          | 0.755    |
+| 0.947         | 2.0   | 125  | 0.8729          | 0.801    |
+| 0.8346        | 2.98  | 186  | 0.8596          | 0.785    |
 
 
 ### Framework versions