Edit model card

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.

Downloads last month
68
Safetensors
Model size
67M params
Tensor type
F32
·
Inference Examples
Unable to determine this model's library. Check the docs .

Model tree for reddgr/rq-request-question-prompt-classifier

Finetuned
(6744)
this model