
# BERT Reranker for MS-MARCO Document Ranking

## Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset.

## Intended uses & limitations
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best.

#### How to use
See our [project repo page](https://github.com/luyug/Reranker).

## Eval results
MRR @10: 0.434 on Dev.
MRR @10: 0.382 on Eval.

### BibTeX entry and citation info

```bibtex
@inproceedings{gao2021lce,
               title={Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline}, 
               author={Luyu Gao and Zhuyun Dai and Jamie Callan},
               year={2021},
               booktitle={The 43rd European Conference On Information Retrieval (ECIR)},
      
}
```
{"language": ["en"], "license": "apache-2.0", "tags": ["text reranking"], "datasets": ["MS MARCO document ranking"]}
transformers pytorch jax bert text-classification text reranking en license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #bert #text-classification #text reranking #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


# BERT Reranker for MS-MARCO Document Ranking

## Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset.

## Intended uses & limitations
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best.

#### How to use
See our project repo page.

## Eval results
MRR @10: 0.434 on Dev.
MRR @10: 0.382 on Eval.

### BibTeX entry and citation info


# BERT Reranker for MS-MARCO Document Ranking ## Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset. ## Intended uses & limitations
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best. #### How to use
See our project repo page. ## Eval results
MRR @10: 0.434 on Dev.
MRR @10: 0.382 on Eval. ### BibTeX entry and citation info
TAGS
#transformers #pytorch #jax #bert #text-classification #text reranking #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 # BERT Reranker for MS-MARCO Document Ranking ## Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset. ## Intended uses & limitations
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best. #### How to use
See our project repo page. ## Eval results
MRR @10: 0.434 on Dev.
MRR @10: 0.382 on Eval. ### BibTeX entry and citation info
passage: TAGS
#transformers #pytorch #jax #bert #text-classification #text reranking #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
# BERT Reranker for MS-MARCO Document Ranking## Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset.## Intended uses & limitations
It is possible to work with other retrievers like BM25 but using aligned HDCT works the best.#### How to use
See our project repo page.## Eval results
MRR @10: 0.434 on Dev.
MRR @10: 0.382 on Eval.### BibTeX entry and citation info