Add evaluation results on the adversarialQA config of adversarial_qa

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the adversarialQA config of the [adversarial_qa](https://huggingface.co/datasets/adversarial_qa) dataset by

@ceyda

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-adversarial_qa-e34332b7-12205625).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=adversarial_qa).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=adversarial_qa).

README.md

@@ -25,6 +25,23 @@ model-index:
       type: f1
       value: 84.8886
       verified: true
+  - 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: 30.2333
+      verified: true
+    - name: F1
+      type: f1
+      value: 43.3606
+      verified: true
 ---
 
 # Multilingual XLM-RoBERTa large for QA on various languages