Add evaluation results on food101 dataset

README.md

@@ -20,6 +20,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9210297029702971
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: food101
+      type: food101
+      config: default
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9135841584158416
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9151645786633058
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9135841584158416
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.915164578663306
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.9135841584158414
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9135841584158416
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9135841584158416
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9138785016966742
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9135841584158415
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.9138785016966743
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.30761435627937317
+      verified: true
 ---
 
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