Deprecation Notice
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.

BERT Tagalog Base Uncased (Whole Word Masking)

Tagalog version of BERT trained on a large preprocessed text corpus scraped and sourced from the internet. This model is part of a larger research project. We open-source the model to allow greater usage within the Filipino NLP community. This particular version uses whole word masking.

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