本模型是在 BAAI/bge-reranker-base 上对模型的 model.base_model.embeddings.position_embeddings.weight
依赖经验值进行修改,来扩大模型输入长度,并没有进行任何继续supervised fined tuning,作为新手示例。
同时亦附上在C-MTEB
的分数作为对比。
感谢原作者的工作。
Unable to determine this model's library. Check the
docs
.
Evaluation results
- map on MTEB CMedQAv1test set self-reported81.263
- mrr on MTEB CMedQAv1test set self-reported84.130
- map on MTEB CMedQAv2test set self-reported84.107
- mrr on MTEB CMedQAv2test set self-reported86.794
- map on MTEB MMarcoRerankingself-reported35.461
- mrr on MTEB MMarcoRerankingself-reported34.602
- map on MTEB T2Rerankingself-reported67.254
- mrr on MTEB T2Rerankingself-reported77.162