OpenMatch / ance-tele_coco-base_msmarco_qry-psg-encoder

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

Model Details of ance-tele_coco-base_msmarco_qry-psg-encoder

This model is ANCE-Tele 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
ANCE-Tele cocodr-base w/o 37.3 44.2
BERI Dataset NDCG@10
TREC-COVID 77.4
NFCorpus 34.4
FiQA 29.0
ArguAna 45.6
Touché-2020 22.3
Quora 85.8
SCIDOCS 14.6
SciFact 71.0
NQ 50.5
HotpotQA 58.8
Signal-1M 27.2
TREC-NEWS 34.7
DBPedia-entity 36.2
Fever 71.4
Climate-Fever 17.9
BioASQ 42.1
Robust04 41.4
CQADupStack 34.9

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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ance-tele_coco-base_msmarco_qry-psg-encoder install

ance-tele_coco-base_msmarco_qry-psg-encoder is an open source model from GitHub that offers a free installation service, and any user can find ance-tele_coco-base_msmarco_qry-psg-encoder on GitHub to install. At the same time, huggingface.co provides the effect of ance-tele_coco-base_msmarco_qry-psg-encoder install, users can directly use ance-tele_coco-base_msmarco_qry-psg-encoder installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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