Name		Name	Last commit message	Last commit date
parent directory ..
benchmark		benchmark
opennre		opennre
README.md		README.md
train_supervised_bert.py		train_supervised_bert.py

README.md

Standard Fine-tuning

Thanks a lot for OpenNRE.

Preparation

All datasets need to be placed in the benchmark folder.

Running

>> python train_supervised_bert.py --dataset=SciERC/10-1 --pretrain_path=dmis-lab/biobert-large-cased-v1.1

--dataset: the directory of the dataset to be trained
--pretrain_path: PLM, defaulting to roberta-large

Balancing

Re-sampling datasets refers to README.
Re-weighting Loss: --use_loss

Data Augmentation

DA refers to README.

Self-training

Assign pseudo labels: --labeling True
Combine pseudo-labeled data and gold-labeled data by using self-train_combine.py
Train the student model: --stutrain True