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Task Adapters

Pre-trained model:

All architectures
All architectures
distilbert bert xlm-roberta roberta

SQuAD 2.0

SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported by the paragraph and abstain from answering.
qa/squad2@ukp roberta-base
1 version Architecture: pfeiffer

Adapter for roberta-base in Pfeiffer architecture trained on the SQuAD 2.0 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

qa/squad2@ukp bert-base-uncased
1 version Architecture: pfeiffer

Adapter for bert-base-uncased in Pfeiffer architecture trained on the SQuAD 2.0 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

qa/squad2@ukp bert-base-uncased
1 version Architecture: houlsby

Adapter for bert-base-uncased in Pfeiffer architecture trained on the SQuAD 2.0 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

qa/squad2@ukp roberta-base
1 version Architecture: houlsby

Adapter for roberta-base in Houlsby architecture trained on the SQuAD 2.0 dataset for 15 epochs with early stopping and a learning rate of 1e-4.

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