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

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

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot-mathema-f8e841-1882064209).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test_cot).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test_cot).

README.md

@@ -1,3 +1,23 @@
 ---
 license: apache-2.0
+model-index:
+- name: ArthurZ/opt-350m
+  results:
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: mathemakitten/winobias_antistereotype_test_cot
+      type: mathemakitten/winobias_antistereotype_test_cot
+      config: mathemakitten--winobias_antistereotype_test_cot
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.44660194174757284
+      verified: true
+    - name: Loss
+      type: loss
+      value: 0.9649451841748037
+      verified: true
 ---