This is a fine-tuning of distilbert-base-uncased trained on a small set of manually labeled sentences classified as "request" or "question". The main purpose is to calculate metrics used by the SCBN-RQTL chatbot response evaluation benchmark. More information in the GitHub repository here.

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67M params

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F32

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Text Classification

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