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bge-small-qasper-ft
GFS418/bge-small-qasper-ft
bge-small-qasper-ft is a machine learning model from GFS418. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sentence-transformers. The card lists the license as mit.
BAAI/bge-small-en-v1.5 fine-tuned for two epochs with MultipleNegativesRankingLoss on 3,560 (question, gold evidence paragraph, BM25 hard negative) triples from the QASPER train split. On the QASPER test split (papers…
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At a glance
- Library
- sentence-transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026
- SHA
- ba01480b
Base models
Model card
From the Hugging Face model README
bge-small-en-v1.5 fine-tuned on QASPER
BAAI/bge-small-en-v1.5 fine-tuned for two epochs with MultipleNegativesRankingLoss on
3,560 (question, gold evidence paragraph, BM25 hard negative) triples from the QASPER
train split. On the QASPER test split (papers disjoint from training) it improves
recall at a 1,024-token context budget by +0.149 [+0.127, +0.171] over the base model
with paragraph-packed 256-token chunks. Query prefix: Represent this sentence for searching relevant passages: .
The app_bundle/ folder holds the precomputed test-split chunks and embeddings used by
the demo app. Project, evaluation harness and full results:
https://github.com/GFS418/rag-eval-harness
- Library
- sentence-transformers
- Type
- bert
- License
- mit
- Created
- Sep 19, 2026
- Updated
- Sep 19, 2026