Add evaluation results on food101 dataset

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [food101](https://huggingface.co./datasets/food101) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-staging-eval-project-57377e87-7975068).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=food101).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=food101).

README.md

@@ -21,6 +21,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.8558811881188119
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: food101
+      type: food101
+      config: default
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7952079207920792
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8087208389002668
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.7952079207920792
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.8087208389002665
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.7952079207920792
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.7952079207920792
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.7952079207920792
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.7971943899991044
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.7952079207920791
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.7971943899991044
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.7573962807655334
+      verified: true
 ---
 
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