Add evaluation results on the mathemakitten--winobias_antistereotype_test config and test split of mathemakitten/winobias_antistereotype_test
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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-c9cce3-2280272258).\
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).
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pipeline_tag: text-generation
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---
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<h1 style='text-align: center '>BLOOM LM</h1>
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pipeline_tag: text-generation
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model-index:
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- name: bigscience/bloom-1b1
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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: 1.1056294885546438
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verified: true
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---
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<h1 style='text-align: center '>BLOOM LM</h1>
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