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

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

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-c9cce3-2280272258).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test).\
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README.md

@@ -50,6 +50,26 @@ language:
 - zht
 - zu
 pipeline_tag: text-generation
+model-index:
+- name: bigscience/bloom-1b1
+  results:
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: mathemakitten/winobias_antistereotype_test
+      type: mathemakitten/winobias_antistereotype_test
+      config: mathemakitten--winobias_antistereotype_test
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.4830097087378641
+      verified: true
+    - name: Loss
+      type: loss
+      value: 1.1056294885546438
+      verified: true
 ---
 
 <h1 style='text-align: center '>BLOOM LM</h1>