Add evaluation results on the default config of boolq

README.md

@@ -22,6 +22,42 @@ model_index:
       name: Accuracy
       type: accuracy
       value: 0.7314984709480122
+model-index:
+- name: andi611/distilbert-base-uncased-qa-boolq
+  results:
+  - task:
+      type: natural-language-inference
+      name: Natural Language Inference
+    dataset:
+      name: boolq
+      type: boolq
+      config: default
+      split: validation
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7314984709480122
+      verified: true
+    - name: Precision
+      type: precision
+      value: 0.766743648960739
+      verified: true
+    - name: Recall
+      type: recall
+      value: 0.8165272995573045
+      verified: true
+    - name: AUC
+      type: auc
+      value: 0.7719917242618858
+      verified: true
+    - name: F1
+      type: f1
+      value: 0.7908527870414483
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.2070027589797974
+      verified: true
 ---
 
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