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

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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 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-project-autoevaluate__zero-shot-classification-sample-18ef74e8-21).\
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).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=autoevaluate/zero-shot-classification-sample).

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  1. README.md +20 -0
README.md CHANGED
@@ -4,6 +4,26 @@ inference: false
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  tags:
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  - text-generation
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  - opt
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Hello. I am a model, to be evaluated.
 
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  tags:
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  - text-generation
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  - opt
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+ model-index:
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+ - name: autoevaluate/zero-shot-classification
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+ results:
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+ - task:
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+ type: zero-shot-classification
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+ name: Zero-Shot Text Classification
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+ dataset:
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+ name: autoevaluate/zero-shot-classification-sample
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+ type: autoevaluate/zero-shot-classification-sample
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+ config: autoevaluate--zero-shot-classification-sample
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+ split: test
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.6666666666666666
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+ verified: true
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+ - name: Loss
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+ type: loss
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+ value: 0.5084401170412699
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+ verified: true
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  ---
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  Hello. I am a model, to be evaluated.