update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.766
+      value: 0.792
 ---
 
 <!-- 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: 1.0417
-- Accuracy: 0.766
+- Loss: 1.0461
+- Accuracy: 0.792
 
 ## Model description
 
@@ -66,14 +66,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3121        | 0.99  | 62   | 1.2064          | 0.739    |
-| 1.2172        | 2.0   | 125  | 1.1760          | 0.775    |
-| 1.0441        | 2.98  | 186  | 1.0417          | 0.766    |
+| 1.285         | 0.99  | 62   | 1.2299          | 0.718    |
+| 1.2002        | 2.0   | 125  | 1.2043          | 0.744    |
+| 1.0345        | 2.98  | 186  | 1.0461          | 0.792    |
 
 
 ### Framework versions
 
 - Transformers 4.31.0.dev0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3