Add evaluation results on beans dataset (#2)

- Add evaluation results on beans dataset (9cbf311b0d31ebdf2ea58dc820ef0b7620357e2f)


Co-authored-by: Evaluation Bot <[email protected]>

README.md

@@ -29,6 +29,59 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.9774436090225563
+  - task:
+      type: image-classification
+      name: Image Classification
+    dataset:
+      name: beans
+      type: beans
+      config: default
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9453125
+      verified: true
+    - name: Precision Macro
+      type: precision
+      value: 0.9453325082933705
+      verified: true
+    - name: Precision Micro
+      type: precision
+      value: 0.9453125
+      verified: true
+    - name: Precision Weighted
+      type: precision
+      value: 0.9452605321507761
+      verified: true
+    - name: Recall Macro
+      type: recall
+      value: 0.945736434108527
+      verified: true
+    - name: Recall Micro
+      type: recall
+      value: 0.9453125
+      verified: true
+    - name: Recall Weighted
+      type: recall
+      value: 0.9453125
+      verified: true
+    - name: F1 Macro
+      type: f1
+      value: 0.9451827242524917
+      verified: true
+    - name: F1 Micro
+      type: f1
+      value: 0.9453125
+      verified: true
+    - name: F1 Weighted
+      type: f1
+      value: 0.944936150332226
+      verified: true
+    - name: loss
+      type: loss
+      value: 0.26030588150024414
+      verified: true
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You