Add evaluation results on the jeffdshen--redefine_math_test0 config and train split of jeffdshen/redefine_math_test0

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the jeffdshen--redefine_math_test0 config and train split of the [jeffdshen/redefine_math_test0](https://huggingface.co/datasets/jeffdshen/redefine_math_test0) dataset by

@jeffdshen

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-jeffdshen__redefine_math_test0-jeffdshen__redefine_math-58f952-1666158898).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=jeffdshen/redefine_math_test0).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=jeffdshen/redefine_math_test0).

README.md

@@ -3,9 +3,28 @@ language: en
 inference: false
 tags:
 - text-generation
-
 license: other
 commercial: false
+model-index:
+- name: facebook/opt-350m
+  results:
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: jeffdshen/redefine_math_test0
+      type: jeffdshen/redefine_math_test0
+      config: jeffdshen--redefine_math_test0
+      split: train
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.57
+      verified: true
+    - name: Loss
+      type: loss
+      value: 0.77472537657246
+      verified: true
 ---