Add evaluation results on the mathemakitten--winobias_antistereotype_test_cot_v4 config and test split of mathemakitten/winobias_antistereotype_test_cot_v4
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Your model has been evaluated on the mathemakitten--winobias_antistereotype_test_cot_v4 config and test split of the [mathemakitten/winobias_antistereotype_test_cot_v4](https://huggingface.co/datasets/mathemakitten/winobias_antistereotype_test_cot_v4) dataset by
@mathemakitten
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-mathemakitten__winobias_antistereotype_test_cot_v4-math-54ae93-2018366739).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=mathemakitten/winobias_antistereotype_test_cot_v4).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=mathemakitten/winobias_antistereotype_test_cot_v4).
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type: loss
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value: 0.7992834513149564
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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: 0.7992834513149564
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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_cot_v4
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type: mathemakitten/winobias_antistereotype_test_cot_v4
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config: mathemakitten--winobias_antistereotype_test_cot_v4
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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: 0.36650485436893204
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verified: true
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- name: Loss
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type: loss
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value: 1.2344030502247787
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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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