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---
license: apache-2.0
pipeline_tag: text-ranking
library_name: lightning-ir
base_model:
- google-bert/bert-base-uncased
tags:
- bi-encoder
---
# Lightning IR BERT Bi-Encoder
This model is a BERT-based bi-encoder[^1] model fine-tuned using [Lightning IR](https://github.com/webis-de/lightning-ir).
See the [Lightning IR Model Zoo](https://webis-de.github.io/lightning-ir/models.html) 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](./configs/fine-tune.yaml) configuration file:
```bash
lightning-ir fit --config fine-tune.yaml
```
To index MS~MARCO passages, use the following command and the [index.yaml](./configs/index.yaml) configuration file:
```bash
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](./configs/search.yaml) configuration file:
```bash
lightning-ir search --config search.yaml
```
[^1]: Reimers and Gurevych, [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://arxiv.org/abs/1908.10084) |