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AdapterHub/
facebook-bart-large_qa_squad2_lohfink-rossi-leaveout

Name: facebook-bart-large_qa_squad2_lohfink-rossi-leaveout
Availability: InStock

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Adapter `facebook-bart-large_qa_squad2_lohfink-rossi-leaveout` for facebook/bart-large

Note: This adapter was not trained by the AdapterHub team, but by these author(s): Till Lohfink & Maria Rossi (Contributed equally.). See author details below.

Adapter for bart-large using a custom architecture (Lohfink-Rossi-Leaveout) trained on the SQuAD 2.0 dataset for 15 epochs with a Cosine with Restarts learning rate scheduler ans learning rate 0.001.

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("facebook/bart-large")
adapter_name = model.load_adapter("AdapterHub/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout")
model.set_active_adapters(adapter_name)

Architecture & Training

Adapter architecture: lohfink-rossi-leaveout
Prediction head: question answering
Dataset: SQuAD 2.0

Author Information

Author name(s): Till Lohfink & Maria Rossi (Contributed equally.)
Author email: tlohfink3@gatech.edu;mrossi7@gatech.edu
Author links:

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/lohfink-rossi/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout.yaml.

AdapterHub/facebook-bart-large_qa_squad2_lohfink-rossi-leaveout

Adapter facebook-bart-large_qa_squad2_lohfink-rossi-leaveout for facebook/bart-large