update model card README.md

README.md

@@ -16,12 +16,12 @@ model-index:
       name: food101
       type: food101
       config: default
-      split: train[:5000]
+      split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.882
+      value: 0.7962376237623763
 ---
 
 <!-- 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: 1.6196
-- Accuracy: 0.882
+- Loss: 1.0616
+- Accuracy: 0.7962
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.6714        | 0.99  | 62   | 2.5002          | 0.831    |
-| 1.8177        | 1.99  | 124  | 1.7780          | 0.873    |
-| 1.6078        | 2.99  | 186  | 1.6196          | 0.882    |
+| 1.9969        | 1.0   | 947  | 1.9538          | 0.7321   |
+| 1.1907        | 2.0   | 1894 | 1.2216          | 0.7806   |
+| 0.9433        | 3.0   | 2841 | 1.0616          | 0.7962   |
 
 
 ### Framework versions