autoevaluator HF staff commited on
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Add evaluation results on the mathemakitten--winobias_antistereotype_test config and test split of mathemakitten/winobias_antistereotype_test

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

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test-mathemakitt-c50da3-1597456330).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test).

Files changed (1) hide show
  1. README.md +20 -1
README.md CHANGED
@@ -3,9 +3,28 @@ language: en
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  inference: false
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  tags:
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  - text-generation
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-
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  license: other
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  commercial: false
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  inference: false
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  tags:
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  - text-generation
 
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  license: other
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  commercial: false
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+ model-index:
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+ - name: facebook/opt-350m
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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: mathemakitten/winobias_antistereotype_test
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+ type: mathemakitten/winobias_antistereotype_test
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+ config: mathemakitten--winobias_antistereotype_test
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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: 0.4830097087378641
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+ verified: true
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+ - name: Loss
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+ type: loss
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+ value: 1.063652910191155
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+ verified: true
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  ---
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