Add evaluation results on the mathemakitten--winobias_antistereotype_test_v5 config and test split of mathemakitten/winobias_antistereotype_test_v5
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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-0d489a-2053267105).\
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).\
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type: loss
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value: 1.2352868161494008
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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: 1.2352868161494008
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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: 0.4029126213592233
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verified: true
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- name: Loss
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type: loss
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value: 1.3491194838988576
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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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