Adapter bert-base-multilingual-cased-ja-wiki_houlsby for bert-base-multilingual-cased

Houlsby Adapter trained with Masked Language Modelling on Japanese Wikipedia Articles for 250k 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("bert-base-multilingual-cased")
adapter_name = model.load_adapter("AdapterHub/bert-base-multilingual-cased-ja-wiki_houlsby")
model.set_active_adapters(adapter_name)

Architecture & Training

• Adapter architecture: houlsby
• Prediction head: None
• Dataset: ja/wiki

Author Information

• Author name(s): Jonas Pfeiffer
• Author email: jonas@pfeiffer.ai
• Author links: Website, GitHub, Twitter

Versions

• nd (main)
• wd

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/bert-base-multilingual-cased-ja-wiki_houlsby.yaml.