ahlkal/xlmr-african-qa-retriever

language:

• —multilingual library_name: sentence-transformers tags:
• —sentence-transformers
• —xlm-roberta
• —dense-retrieval
• —biomedical-qa
• —african-languages pipelinetag: sentence-similarity basemodel: FacebookAI/xlm-roberta-base ---

XLM-R Biomedical African QA Dense Retriever

This model is a fine-tuned SentenceTransformer retriever based on FacebookAI/xlm-roberta-base.

Intended use

Dense retrieval for multilingual biomedical/health QA answer-bank matching.

Recommended document format:

Question: <question>
Answer: <answer>

Training objective

MultipleNegativesRankingLoss using question/document positive pairs.

Loading

from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ahlkal/xlmr-african-qa-retriever")

Use in the main answer-bank pipeline

DENSE_MODEL = "ahlkal/xlmr-african-qa-retriever"
RERANKER_MODEL = "BAAI/bge-reranker-v2-m3"
TOP_K = 60
DENSE_TOP_K = 60
RERANK_K = 45
CE_BATCH_SIZE = 8

Important diagnostic

Compare oraclerouge1at_60 against BAAI/bge-m3 and intfloat/multilingual-e5-large.