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  results: []
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  datasets:
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  - stanfordnlp/coqa
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # apricot_clustering_coqa_deberta-v3-base_for_vicuna-7b-v1.5
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- This model is fine-tuned for black-box LLM calibration as part of the 🍑 Apricot paper ["Calibrating Large Language Models Using Their Generations Only"](https://github.com/parameterlab/apricot) (ACL 2024).
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  ## Model description
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  results: []
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  datasets:
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  - stanfordnlp/coqa
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+ library_name: transformers
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # apricot_clustering_coqa_deberta-v3-base_for_vicuna-7b-v1.5
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+ This model is fine-tuned for black-box LLM calibration as part of the 🍑 Apricot paper ["Calibrating Large Language Models Using Their Generations Only"](https://arxiv.org/abs/2403.05973) (ACL 2024).
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  ## Model description
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