Add evaluation results on the squad_v2 config of squad_v2

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the squad_v2 config of the [squad_v2](https://huggingface.co/datasets/squad_v2) dataset by @nonchalant-nagavalli, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-squad_v2-squad_v2-76c05b-14906072).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=squad_v2).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=squad_v2).

README.md

@@ -6,6 +6,26 @@ license: mit
 thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
 tags:
 - exbert
+model-index:
+- name: deepset/xlm-roberta-base-squad2-distilled
+  results:
+  - task:
+      type: question-answering
+      name: Question Answering
+    dataset:
+      name: squad_v2
+      type: squad_v2
+      config: squad_v2
+      split: validation
+    metrics:
+    - name: Exact Match
+      type: exact_match
+      value: 75.2633
+      verified: true
+    - name: F1
+      type: f1
+      value: 78.3188
+      verified: true
 ---
 
 # deepset/xlm-roberta-base-squad2-distilled