text: Title: RoBERTa on SuperGLUE's BoolQ task
  Body: BoolQ is one of the tasks of the [SuperGLUE](https://super.gluebenchmark.com) benchmark. The task is to re-trace the steps of Facebook's RoBERTa paper (https://arxiv.org/pdf/1907.11692.pdf) and build an AllenNLP config that reads the BoolQ data and fine-tunes a model on it. We expect scores in the range of their entry on the [SuperGLUE leaderboard](https://super.gluebenchmark.com/leaderboard).
  
  We recommend you use the [AllenNLP Repository Template](https://github.com/allenai/allennlp-template-config-files) as a starting point. It might also be helpful to look at how the TransformerQA model works ([training config](https://github.com/allenai/allennlp-models/blob/main/training_config/rc/transformer_qa.jsonnet), [reader](https://github.com/allenai/allennlp-models/blob/main/allennlp_models/rc/dataset_readers/transformer_squad.py), [model](https://github.com/allenai/allennlp-models/blob/main/allennlp_models/rc/models/transformer_qa.py)).