Task Adapters

SQuAD 1.1

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.

Website 🤗 huggingface.co

qa/squad1@ukp roberta-base

1 version Architecture: houlsby Head:

Adapter for roberta-base in Houlsby architecture trained on the SQuAD 1.1 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

qa/squad1@ukp roberta-base

1 version Architecture: pfeiffer Head:

Adapter for roberta-base in Pfeiffer architecture trained on the SQuAD 1.1 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

AdapterHub/roberta-base-pf-squad roberta-base

huggingface.co Head:

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