Add evaluation results on the jeffdshen--redefine_math2_8shot config and train split of jeffdshen/redefine_math2_8shot

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the jeffdshen--redefine_math2_8shot config and train split of the [jeffdshen/redefine_math2_8shot](https://huggingface.co./datasets/jeffdshen/redefine_math2_8shot) dataset by

@jeffdshen

, using the predictions stored [here](https://huggingface.co./datasets/autoevaluate/autoeval-eval-jeffdshen__redefine_math2_8shot-jeffdshen__redefine_mat-af4c71-1853163411).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co./spaces/autoevaluate/leaderboards?dataset=jeffdshen/redefine_math2_8shot).\
Evaluate your model on more datasets [here](https://huggingface.co./spaces/autoevaluate/model-evaluator?dataset=jeffdshen/redefine_math2_8shot).

README.md

@@ -77,6 +77,23 @@ model-index:
       type: loss
       value: 0.7550815605928027
       verified: true
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: jeffdshen/redefine_math2_8shot
+      type: jeffdshen/redefine_math2_8shot
+      config: jeffdshen--redefine_math2_8shot
+      split: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6064
+      verified: true
+    - name: Loss
+      type: loss
+      value: 0.6789355477049946
+      verified: true
 ---
 
 # OPT : Open Pre-trained Transformer Language Models