autoevaluator HF staff commited on
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Add evaluation results on the mathemakitten--winobias_antistereotype_test_v5 config and test split of mathemakitten/winobias_antistereotype_test_v5

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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_v5 config and test split of the [mathemakitten/winobias_antistereotype_test_v5](https://huggingface.co/datasets/mathemakitten/winobias_antistereotype_test_v5) dataset by

@mathemakitten

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_v5-mathemak-2bec9f-2053467108).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test_v5).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test_v5).

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  1. README.md +17 -0
README.md CHANGED
@@ -77,6 +77,23 @@ model-index:
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  type: loss
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  value: 0.8490466677953327
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  verified: true
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # OPT : Open Pre-trained Transformer Language Models
 
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  type: loss
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  value: 0.8490466677953327
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  verified: true
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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_v5
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+ type: mathemakitten/winobias_antistereotype_test_v5
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+ config: mathemakitten--winobias_antistereotype_test_v5
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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: 0.33980582524271846
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+ verified: true
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+ - name: Loss
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+ type: loss
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+ value: 1.4462068147712868
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+ verified: true
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  ---
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  # OPT : Open Pre-trained Transformer Language Models