text: Title: RoBERTa on SuperGLUE's 'Choice of Plausible Alternatives' task
  Body: COPA 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 COPA 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 multiple choice task, using the [`TransformerMCTransformerToolkit `](https://github.com/allenai/allennlp-models/blob/main/allennlp_models/mc/models/transformer_mc_tt.py#L14) model, analogous to the PIQA model. You can start with the [experiment config](https://github.com/allenai/allennlp-models/blob/main/training_config/tango/piqa.jsonnet) and [dataset reading step](https://github.com/allenai/allennlp-models/blob/main/allennlp_models/mc/tango/piqa.py#L13) from PIQA, and adapt them to your needs.