OpenMatch / dpr_bert-base_msmarco_qry-psg-encoder

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Model's Last Updated: April 19 2023
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Introduction of dpr_bert-base_msmarco_qry-psg-encoder

Model Details of dpr_bert-base_msmarco_qry-psg-encoder

This model is DPR trained on MS MARCO. The training details and evaluation results are as follows:

Model Pretrain Model Train w/ Marco Title Marco Dev MRR@10 BEIR Avg NDCG@10
DPR bert-base-uncased w/ 32.4 35.5
BERI Dataset NDCG@10
TREC-COVID 58.8
NFCorpus 23.4
FiQA 20.6
ArguAna 39.4
Touché-2020 22.3
Quora 78.0
SCIDOCS 11.9
SciFact 49.4
NQ 43.9
HotpotQA 45.3
Signal-1M 20.2
TREC-NEWS 31.8
DBPedia-entity 28.7
Fever 65.0
Climate-Fever 14.9
BioASQ 24.1
Robust04 32.3
CQADupStack 28.3

The implementation is the same as our EMNLP 2022 paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives" . The associated GitHub repository is available at https://github.com/OpenMatch/ANCE-Tele .

@inproceedings{sun2022ancetele,
  title={Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives},
  author={Si, Sun and Chenyan, Xiong and Yue, Yu and Arnold, Overwijk and Zhiyuan, Liu and Jie, Bao},
  booktitle={Proceedings of EMNLP 2022},
  year={2022}
}

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38
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