A fine-tuned SentenceTransformer model specialized for finding synonyms and related terms in automotive parts and service descriptions.
Model Description
This model is fine-tuned from sentence-transformers/all-MiniLM-L6-v2 specifically for automotive parts synonym detection. It can identify when different part names refer to the same or similar components.
Base Model:sentence-transformers/all-MiniLM-L6-v2
Training Details
Training Strategy: 3-phase approach
Contextual Training (30 epochs): Full phrases with synonyms/antonyms
Foundation Training (15 epochs): Word-to-word synonyms/antonyms
Real-world Fine-tuning (4 epochs): Search phrases and repair descriptions
Loss Function: OnlineContrastiveLoss with varying margins (0.6 → 0.4 → 0.4) Training Data: Automotive parts synonym/antonym pairs with contextual repair descriptions
Performance
Evaluated on 15-state synonyms phrases, deepseek general queries, STS-B and MTB datasets:
Top-200 Synonym Recall 15251/15330 (99.5%)
MRR@200 0.6454
Top-200 Deepseek Recall 140633/142325 (98.8%)
MRR@200 0.4401
STS-B Spearman: 0.867
MTB Spearman: 0.724
Limitations
Optimized specifically for automotive parts and repair terminology
