Adapter AdapterHub/bioASQyesno for facebook/bart-base

An adapter for the facebook/bart-base model that was trained on the qa/bioasq dataset.

This adapter was created for usage with the adapter-transformers library.

Usage

First, install adapter-transformers:

pip install -U adapter-transformers

Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More

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

from transformers import AutoModelWithHeads

model = AutoModelWithHeads.from_pretrained("facebook/bart-base")
adapter_name = model.load_adapter("AdapterHub/bioASQyesno", source="hf", set_active=True)

Architecture & Training

Trained for 15 epochs with early stopping, a learning rate of 1e-4, and a batch size of 4 on the yes-no questions of the bioASQ 8b dataset.

Evaluation results

Achieved 75% accuracy on the test dataset of bioASQ 8b dataset.

Citation