Training and Finetuning Reranker Models with Sentence Transformers

This blogpost shows how to finetune a reranker (Cross Encoder) with Sentence Transformers for domain-specific retrieval, detailing datasets, loss functions, training arguments, evaluators, and the trainer. It demonstrates that small, domain-tuned models can outperform public rerankers and scale with larger bases, in a two-stage retrieve-and-rerank setup.

Source

HuggingFace Blog

Ingéré

26 MARS 2025 · 19:10

Score édito

4.0 / 5