metadata
license: apache-2.0
pipeline_tag: text-ranking
library_name: lightning-ir
base_model:
- google-bert/bert-base-uncased
tags:
- bi-encoder
Lightning IR SPLADE
This model is a SPLADE[^1] model fine-tuned using Lightning IR.
See the Lightning IR Model Zoo for a comparison with other models.
Reproduction
To reproduce the model training, install Lightning IR and run the following command using the fine-tune.yaml configuration file:
lightning-ir fit --config fine-tune.yaml
To index MS~MARCO passages, use the following command and the index.yaml configuration file:
lightning-ir index --config index.yaml
After indexing, to evaluate the model on TREC Deep Learning 2019 and 2020, use the following command and the search.yaml configuration file:
lightning-ir search --config search.yaml
[^1]: Formal et al., SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking