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code-search-reranker-finetuned
Sgupta02/code-search-reranker-finetuned
code-search-reranker-finetuned is a machine learning model from Sgupta02. 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 apache-2.0.
Fine-tuned version of Alibaba-NLP/gte-reranker-modernbert-base on hard-negative-mined query/document pairs from scikit-learn's API documentation.
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At a glance
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Jul 28, 2026
- Updated
- Jul 28, 2026
- SHA
- d587c4fe
Base models
Model card
From the Hugging Face model README
Fine-tuned reranker (best checkpoint, step 300)
Fine-tuned version of Alibaba-NLP/gte-reranker-modernbert-base on hard-negative-mined query/document pairs from scikit-learn's API documentation.
Honest result: this does not beat the pretrained base model. Best checkpoint (step 300 of 1194, learning rate 2e-6) scored 0.534 nDCG@10 on a 26-query eval set, versus 0.556 for the untouched pretrained model. Included here as the actual artifact from a real fine-tuning attempt, not as a recommended model to use.
Full pipeline, evaluation methodology, and the stage-by-stage ablation (dense retrieval to hybrid search to reranking) that this was built on top of: https://github.com/sgupta2346/Code-Search-Finetuned-Reranker
- Library
- sentence-transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Jul 28, 2026
- Updated
- Jul 28, 2026