SPLADE
Collection
Our SPLADE models
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4 items
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Updated
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3
This checkpoint corresponds to a model that starts from SPLADE++SelfDistil (naver/splade-cocondenser-selfdistil
), and is
trained with a mix of KL-Div and MarginMSE, with 8 negatives per query sampled from SPLADE++SelfDistil. We used the original MS MARCO
collection without the titles.
For more details, see our arXiv companion book: https://arxiv.org/abs/2403.06789
To use SPLADE, please visit our GitHub repository: https://github.com/naver/splade
MRR@10 (MS MARCO dev) | avg nDCG@10 (BEIR-13) | |
---|---|---|
naver/splade-v3 |
40.2 | 51.7 |
If you use our checkpoint, please cite our work:
@misc{lassance2024spladev3,
title={SPLADE-v3: New baselines for SPLADE},
author={Carlos Lassance and Hervé Déjean and Thibault Formal and Stéphane Clinchant},
year={2024},
eprint={2403.06789},
archivePrefix={arXiv},
primaryClass={cs.IR},
copyright = {Creative Commons Attribution Non Commercial Share Alike 4.0 International}
}