Bert Tagalog Base Uncased WWM

🚀 BERT Tagalog Base Uncased (Whole Word Masking)

A Tagalog version of BERT trained on a large preprocessed text corpus sourced from the internet. It's part of a research project and open - sourced for the Filipino NLP community. This version uses whole word masking.

🚀 Quick Start

This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available. Use jcblaise/roberta-tagalog-base or jcblaise/roberta-tagalog-large instead for better performance.

📚 Documentation

Citations

All model details and training setups can be found in our papers. If you use our model or find it useful in your projects, please cite our work:

@article{cruz2020establishing,
  title={Establishing Baselines for Text Classification in Low-Resource Languages},
  author={Cruz, Jan Christian Blaise and Cheng, Charibeth},
  journal={arXiv preprint arXiv:2005.02068},
  year={2020}
}

@article{cruz2019evaluating,
  title={Evaluating Language Model Finetuning Techniques for Low-resource Languages},
  author={Cruz, Jan Christian Blaise and Cheng, Charibeth},
  journal={arXiv preprint arXiv:1907.00409},
  year={2019}
}

Data and Other Resources

Data used to train this model as well as other benchmark datasets in Filipino can be found in my website at https://blaisecruz.com

Contact

If you have questions, concerns, or if you just want to chat about NLP and low-resource languages in general, you may reach me through my work email at me@blaisecruz.com

📄 License

This model is released under the GPL - 3.0 license.