Add evaluation results on the mathemakitten--winobias_antistereotype_test_v5 config and test split of mathemakitten/winobias_antistereotype_test_v5

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the mathemakitten--winobias_antistereotype_test_v5 config and test split of the [mathemakitten/winobias_antistereotype_test_v5](https://huggingface.co/datasets/mathemakitten/winobias_antistereotype_test_v5) dataset by

@mathemakitten
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-0d489a-2053267100).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test_v5).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test_v5).

README.md

@@ -77,6 +77,23 @@ model-index:
       type: loss
       value: 0.8490466677953327
       verified: true
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: mathemakitten/winobias_antistereotype_test_v5
+      type: mathemakitten/winobias_antistereotype_test_v5
+      config: mathemakitten--winobias_antistereotype_test_v5
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.33980582524271846
+      verified: true
+    - name: Loss
+      type: loss
+      value: 1.4462068147712868
+      verified: true
 ---
 
 # OPT : Open Pre-trained Transformer Language Models