Task Adapters

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.

AdapterHub/bert-base-uncased-pf-multirc bert-base-uncased

huggingface.co Head:

# Adapter `AdapterHub/bert-base-uncased-pf-multirc` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...

AdapterHub/roberta-base-pf-multirc roberta-base

huggingface.co Head:

# Adapter `AdapterHub/roberta-base-pf-multirc` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the...