Add evaluation results on lewtun/dog_food dataset

README.md

@@ -21,6 +21,63 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.896
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: lewtun/dog_food
+      type: lewtun/dog_food
+      config: lewtun--dog_food
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8466666666666667
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.8850127293141284
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.8466666666666667
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.8939157698241645
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.8555113273379528
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.8466666666666667
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.8466666666666667
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.8431399312051647
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.8466666666666667
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.8430272582865614
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.3633290231227875
+      verified: true
+    - name: matthews_correlation
+      type: matthews_correlation
+      value: 0.7973101366252381
+      verified: true
 ---
 
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