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Task Adapters

Pre-trained model:

distilbert
All architectures
gpt2 bert xlm-roberta roberta distilbert bart mbart
All shortcut names
All shortcut names
distilbert-base-uncased

MultiRC

The Multi-Sentence Reading Comprehension dataset (MultiRC, Khashabi et al., 2018) is a true/false question-answering task. Each example consists of a context paragraph, a question about that paragraph, and a list of possible answers to that question which must be labeled as true or false. The paragraphs are drawn from seven domains including news, fiction, and historical text.
  Website
rc/multirc@ukp distilbert-base-uncased
1 version Architecture: pfeiffer Head: 

Adapter for distilbert-base-uncased in Pfeiffer architecture trained on the MultiRC dataset for 15 epochs with early stopping and a learning rate of 1e-4.

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