Add evaluation results on the mathemakitten--winobias_antistereotype_test_cot_v3 config and test split of mathemakitten/winobias_antistereotype_test_cot_v3

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Your model has been evaluated on the mathemakitten--winobias_antistereotype_test_cot_v3 config and test split of the [mathemakitten/winobias_antistereotype_test_cot_v3](https://huggingface.co/datasets/mathemakitten/winobias_antistereotype_test_cot_v3) dataset by

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v3-math-468e93-2011366588).\
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_v3).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test_cot_v3).

README.md

@@ -94,6 +94,23 @@ model-index:
       type: loss
       value: 1.294413821680473
       verified: true
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: mathemakitten/winobias_antistereotype_test_cot_v3
+      type: mathemakitten/winobias_antistereotype_test_cot_v3
+      config: mathemakitten--winobias_antistereotype_test_cot_v3
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.40048543689320387
+      verified: true
+    - name: Loss
+      type: loss
+      value: 1.1583690714066759
+      verified: true
 ---
 
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