training BERT for relation classfication using "matching the blanks" recommanded method
overview of repo files:
- datautils.py data loading primitives
- simplifying_wrapper.py simple wrapping methods to full finetuning code
- ftbert.ipynb a notebook implementing a dataloader for our spike jsons and then training roberta with it
- rc_transformer.py a pytorch model - matching the blanks-like RC with a transformer
- transformers_rc_finetune.py - all the training boilerplate together with some sane training settings