Add evaluation results on the adversarialQA config of adversarial_qa

README.md

@@ -11,6 +11,26 @@ datasets:
 metrics:
 - exact_match
 - f1
+model-index:
+- name: mbartolo/electra-large-synqa
+  results:
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: adversarial_qa
+      type: adversarial_qa
+      config: adversarialQA
+      split: validation
+    metrics:
+    - name: Exact Match
+      type: exact_match
+      value: 54.3667
+      verified: true
+    - name: F1
+      type: f1
+      value: 67.3589
+      verified: true
 ---
 
 # Model Overview
@@ -24,4 +44,4 @@ Evaluation data: SQuAD + AdversarialQA
 Approx. 1 training epoch on the synthetic data and 2 training epochs on the manually-curated data.
 
 # Additional Information
-Please refer to https://arxiv.org/abs/2104.08678 for full details. You can interact with the model on Dynabench here: https://dynabench.org/models/109
+Please refer to https://arxiv.org/abs/2104.08678 for full details. You can interact with the model on Dynabench here: https://dynabench.org/models/109