Update README.md

README.md

@@ -7,7 +7,20 @@ metrics:
 - accuracy
 model-index:
 - name: food-vit-tutorial
-  results: []
+  results: 
+  - task:
+      name: image-classification
+      type: image-classification
+    dataset:
+      name: food101
+      type: food101
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: accuracy
+      type: accuracy
+      value: 0.916000
 datasets:
 - food101
 ---
@@ -17,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # food-vit-tutorial
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on food101 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0267
 - Accuracy: 0.916