metadata
tags:
- adapterhub:qa/bioasq
- adapter-transformers
- bart
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.