Adapter xlm-roberta-base-cdo-wiki_pfeiffer for xlm-roberta-base

Pfeiffer Adapter trained with Masked Language Modelling on Min Dong Wikipedia Articles for 50k steps and a batch size of 64.

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:

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("xlm-roberta-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-cdo-wiki_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

• Adapter architecture: pfeiffer
• Prediction head: None
• Dataset: cdo/wiki

Author Information

• Author name(s): Jonas Pfeiffer
• Author email: [email protected]
• Author links: Website, GitHub, Twitter

Citation

@article{pfeiffer20madx,
  title={{MAD-X}: An {A}dapter-based {F}ramework for {M}ulti-task {C}ross-lingual {T}ransfer},
  author={Pfeiffer, Jonas and Vuli\'{c}, Ivan and Gurevych, Iryna and Ruder, Sebastian},
  journal={arXiv preprint},
  year={2020},
  url={https://arxiv.org/pdf/2005.00052.pdf},
}

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/xlm-roberta-base-cdo-wiki_pfeiffer.yaml.