alinashrestha/patentsbert-m4-final

PatentSBERTa M4 Final — Y02 Green Patent Classifier

Fine-tuned version of AI-Growth-Lab/PatentSBERTa for binary classification of patent claims as GREEN (Y02) or NOT GREEN.

Developed as the final model in a 4-assignment pipeline for the course Applied Deep Learning and Artificial Intelligence at Aalborg University.

Model Performance

Training Data

• —30,000 silver-labelled patent claims (Y02 CPC codes)
• —100 gold-labelled claims (human verified via HITL)
• —Total: 30,100 training examples — perfectly balanced 50/50

Pipeline Overview

This model is the final step in a 4-stage pipeline:

1. 1.QLoRA Fine-Tuning — Mistral-7B fine-tuned as Y02 domain expert Judge
2. 2.3-Agent MAS — Advocate / Skeptic / Judge debate on 100 uncertain claims
3. 3.HITL Review — Human reviewed only 11 flagged uncertain claims
4. 4.PatentSBERTa Fine-Tuning — Final classifier trained on 30,100 examples

Training Config

Files in this Repository

Citation

@misc{shrestha2026greenpatent,
  author = {Alina Shrestha},
  title  = {Green Patent Detection: Advanced Agentic Workflow with QLoRA},
  year   = {2026},
  note   = {AAU Applied Deep Learning and Artificial Intelligence}
}