text: Title: RoBERTa on SuperGLUE's CommitmentBank task
  Body: CommitmentBank 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 CommitmentBank 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).
  
  This can be formulated as a classification task, using the [`TransformerClassificationTT`](https://github.com/allenai/allennlp-models/blob/Imdb/allennlp_models/classification/models/transformer_classification_tt.py) model, analogous to the IMDB model. You can start with the [experiment config](https://github.com/allenai/allennlp-models/blob/Imdb/training_config/tango/imdb.jsonnet) and [dataset reading step](https://github.com/allenai/allennlp-models/blob/Imdb/allennlp_models/classification/tango/imdb.py#L13) from IMDB, and adapt them to your needs.