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AdapterHub/
bert-base-uncased_qa_squad2_houlsby

Name: bert-base-uncased_qa_squad2_houlsby
Availability: InStock

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Adapter `bert-base-uncased_qa_squad2_houlsby` for bert-base-uncased

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.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("bert-base-uncased")
adapter_name = model.load_adapter("AdapterHub/bert-base-uncased_qa_squad2_houlsby")
model.set_active_adapters(adapter_name)

Architecture & Training

Adapter architecture: houlsby
Prediction head: question answering
Dataset: SQuAD 2.0

Author Information

Author name(s): Clifton Poth
Author email: calpt@mail.de
Author links: Website, GitHub, Twitter

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/bert-base-uncased_qa_squad2_houlsby.yaml.

AdapterHub/bert-base-uncased_qa_squad2_houlsby

Adapter bert-base-uncased_qa_squad2_houlsby for bert-base-uncased