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cve-cwe-crossencoder
alihur-ecu/cve-cwe-crossencoder
cve-cwe-crossencoder is a machine learning model from alihur-ecu. 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 cross-encoder for CVE→CWE ranking (cve2graph Phase 26).
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At a glance
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026
- SHA
- b12daa92
Base models
Model card
From the Hugging Face model README
alihur-ecu/cve-cwe-crossencoder
Fine-tuned cross-encoder for CVE→CWE ranking (cve2graph Phase 26).
- Base model:
cross-encoder/ms-marco-MiniLM-L-6-v2 - Training: 3 epochs on in-domain CVE/CWE pairs (hard negatives from Phase 24 fusion ranker)
- Test Hits@10: 0.7165
- Test MRR: 0.6026
- Fusion: rerank top-200 CWE candidates with cross-encoder weight λ=0.5
Usage
from sentence_transformers import CrossEncoder
model = CrossEncoder("alihur-ecu/cve-cwe-crossencoder")
scores = model.predict([("CVE description text", "CWE description text")])
- Library
- sentence-transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026