Hugging Face's logo
language: yo datasets:
bert-base-multilingual-cased-finetuned-yoruba
Model description
bert-base-multilingual-cased-finetuned-yoruba is a Yoruba BERT model obtained by fine-tuning bert-base-multilingual-cased model on Yorùbá language texts. It provides better performance than the multilingual BERT on text classification and named entity recognition datasets.
Specifically, this model is a bert-base-multilingual-cased model that was fine-tuned on Yorùbá corpus.
Intended uses & limitations
How to use
You can use this model with Transformers pipeline for masked token prediction.
Limitations and bias
This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains.
Training data
This model was fine-tuned on Yorùbá corpus
Training procedure
This model was trained on a single NVIDIA V100 GPU
Eval results on Test set (F-score)
Dataset | F1-score |
---|---|
Yoruba GV NER | 75.34 |
MasakhaNER | 80.82 |
BBC Yoruba | 80.66 |
BibTeX entry and citation info
By David Adelani