Add evaluation results on the inverse-scaling--redefine-math config and train split of inverse-scaling/redefine-math

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

@MicPie

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-inverse-scaling__redefine-math-inverse-scaling__redefin-f7efd9-1695359604).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=inverse-scaling/redefine-math).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=inverse-scaling/redefine-math).

README.md

@@ -26,6 +26,23 @@ model-index:
       type: loss
       value: 0.7019585407276948
       verified: true
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: inverse-scaling/redefine-math
+      type: inverse-scaling/redefine-math
+      config: inverse-scaling--redefine-math
+      split: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6588888888888889
+      verified: true
+    - name: Loss
+      type: loss
+      value: 0.645329966363497
+      verified: true
 ---
 
 # OPT : Open Pre-trained Transformer Language Models