|
--- |
|
language: tl |
|
tags: |
|
- electra |
|
- tagalog |
|
- filipino |
|
license: gpl-3.0 |
|
inference: false |
|
--- |
|
|
|
**Deprecation Notice** |
|
This model is deprecated. New Filipino Transformer models trained with a much larger corpora are available. |
|
Use [`jcblaise/roberta-tagalog-base`](https://huggingface.co/jcblaise/roberta-tagalog-base) or [`jcblaise/roberta-tagalog-large`](https://huggingface.co/jcblaise/roberta-tagalog-large) instead for better performance. |
|
|
|
--- |
|
|
|
# ELECTRA Tagalog Small Uncased Discriminator |
|
Tagalog ELECTRA model pretrained with a large corpus scraped 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 is the discriminator model, which is the main Transformer used for finetuning to downstream tasks. For generation, mask-filling, and retraining, refer to the Generator models. |
|
|
|
## 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: |
|
|
|
``` |
|
@inproceedings{cruz2021exploiting, |
|
title={Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets}, |
|
author={Cruz, Jan Christian Blaise and Resabal, Jose Kristian and Lin, James and Velasco, Dan John and Cheng, Charibeth}, |
|
booktitle={Pacific Rim International Conference on Artificial Intelligence}, |
|
pages={86--99}, |
|
year={2021}, |
|
organization={Springer} |
|
} |
|
``` |
|
|
|
## 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 [email protected] |
|
|
