模型:
Intel/ColBERT-NQ
语言:
许可:
This 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 |