OpenMatch / ance-tele_msmarco_qry-psg-encoder

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Total runs: 15
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7-day runs: -3
30-day runs: 2
Model's Last Updated: March 20 2023
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Introduction of ance-tele_msmarco_qry-psg-encoder

Model Details of ance-tele_msmarco_qry-psg-encoder

This model is ANCE-Tele trained on MS MARCO, described in the 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 .

ANCE-Tele only trains with self-mined negatives (teleportation negatives) without using additional negatives (e.g., BM25, other DR systems) and eliminates the dependency on filtering strategies and distillation modules.

MS MARCO (Dev) MRR@10 R@1K
ANCE-Tele 39.1 98.4
@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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15
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ance-tele_msmarco_qry-psg-encoder is an open source model from GitHub that offers a free installation service, and any user can find ance-tele_msmarco_qry-psg-encoder on GitHub to install. At the same time, huggingface.co provides the effect of ance-tele_msmarco_qry-psg-encoder install, users can directly use ance-tele_msmarco_qry-psg-encoder installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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