Sristtee/Assignment_3
Green Patent Detection: Multi-Agent HITL + PatentSBERTa This repository contains an advanced green patent detection workflow built for binary classification of patent claims into: 1 = Green / climate mitigation related 0 = Non-green The project extends a baseline PatentSBERTa workflow by adding a Human-in-the-Loop (HITL) review stage and a multi-agent debate system before final fine-tuning. Project overview The goal of this project is to improve green patent… See the full description on the dataset page: https://huggingface.co/datasets/Sristtee/Assignment_3.
Upload README.md
Upload eval_silver.parquet
Delete tokenizer_config.json
Delete trainer_state.json
Delete training_args.bin
Delete tokenizer.json
Delete scheduler.pt
Delete rng_state.pth
Delete optimizer.pt
Delete model.safetensors
Delete config.json
Delete .gitattributes
Delete eval_silver.parquet
Upload 5 files
Upload 9 files
initial commit
