模型:
Intel/ColBERT-NQ
语言:
en许可:
cc-by-sa-3.0This trained model is based on the ColBERT model, trained on the Natural Questions dataset.
Model is based on ColBERT, which in turn is based around a BERT encoder. The model is trained for text retrieval using a contrastive loss; given a query there's a relevant and non relevant passages.
The corpus is based on Wikipeida .
Model can be used by the ColBERT codebase to initiate a retriever; one needs to build a vector index and then queries can be ran.
Evaluation results on NQ dev:
NQ | Recall | MRR |
---|---|---|
10 | 71.1 | 52.0 |
20 | 76.3 | 52.3 |
50 | 80.4 | 52.5 |
100 | 82.7 | 52.5 |