We are going to explore the multiple choice reading comprehension with bert based on RACE dataset
python -m pip install --user boto3
- Add --fp16 in run.sh. But this requires apex from nvidia.
- Choose small model like base. It could be running on 11GB size GPU.
- Tune freezed layers
- Use V100 in gcloud
- git clone bert-race
- cd bert-race
- uncompress race dataset under bert-race
- ./run.sh # you could add --do_eval and other parameters.