
**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.

---

# 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

{"language": "tl", "license": "gpl-3.0", "tags": ["bert", "tagalog", "filipino"], "inference": false}
transformers pytorch jax bert fill-mask tagalog filipino tl license:gpl-3.0 autotrain_compatible region:us
TAGS
#transformers #pytorch #jax #bert #fill-mask #tagalog #filipino #tl #license-gpl-3.0 #autotrain_compatible #region-us 


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.

s
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:



## 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 URL

## 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@URL

# 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.

s
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: ## 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 URL ## 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@URL
TAGS
#transformers #pytorch #jax #bert #fill-mask #tagalog #filipino #tl #license-gpl-3.0 #autotrain_compatible #region-us 
 # 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.

s
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: ## 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 URL ## 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@URL
passage: TAGS
#transformers #pytorch #jax #bert #fill-mask #tagalog #filipino #tl #license-gpl-3.0 #autotrain_compatible #region-us 
# 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.

s
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:## 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 URL## 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@URL