Add evaluation results on the autoevaluate--zero-shot-classification-sample config and test split of autoevaluate/zero-shot-classification-sample

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

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-autoevaluate__zero-shot-classification-sample-autoevalu-ab10d5-2413).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=autoevaluate/zero-shot-classification-sample).\
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README.md

@@ -4,6 +4,26 @@ inference: false
 tags:
 - text-generation
 - opt
+model-index:
+- name: autoevaluate/zero-shot-classification
+  results:
+  - task:
+      type: zero-shot-classification
+      name: Zero-Shot Text Classification
+    dataset:
+      name: autoevaluate/zero-shot-classification-sample
+      type: autoevaluate/zero-shot-classification-sample
+      config: autoevaluate--zero-shot-classification-sample
+      split: test
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6666666666666666
+      verified: true
+    - name: Loss
+      type: loss
+      value: 0.6931471824645996
+      verified: true
 ---
 
 Hello. I am a model, to be evaluated.