This model was trained with the [Rankers Library](`https://github.com/davidmrau/rankers`) please check https://github.com/davidmrau/rankers#Evaluation to learn how to use the model. 

This Cross Encoder Model was trained on the official MS MARCO training triples using the following training parameters: 

- batch size: 128

- learning rate 3e-6

- Optimizer: Adam


Performance TREC DL Nist test 2020:
- NDCG@10: 69.35

{}
transformers pytorch bert text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

This model was trained with the Rankers Library please check URL to learn how to use the model. 

This Cross Encoder Model was trained on the official MS MARCO training triples using the following training parameters: 

- batch size: 128

- learning rate 3e-6

- Optimizer: Adam


Performance TREC DL Nist test 2020:
- NDCG@10: 69.35

TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 

TAGS
#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us 
