metadata
language:
- en
library_name: transformers
pipeline_tag: question-answering
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
- allenai/qasper
- DataHammer/paper_ground_dialog
metrics:
- bleu
- rouge
- f1
- bertscore
Model Details
Model Description
Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. scidpr-question-encoder is the Question Encoder trained using the Scientific Question Answer (QA) dataset (Pradeep et al., 2021).
- Developed by: See GitHub repo for model developers
- Model date: LLaMA was trained In May. 2023.
- Model version: This is version 1 of the model.
- Model type: mozi_llama is an auto-regressive language model, based on the transformer architecture. The model comes in different sizes: 7B parameters.
- Language(s) (NLP): Apache 2.0
- License: English
Model Sources [optional]
- Repository: Girhub Repo
- Paper [optional]: Paper Repo