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language: yo
datasets:

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# 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
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Yoruba GV NER |75.34
MasakhaNER |80.82
BBC Yoruba |80.66

### BibTeX entry and citation info
By David Adelani
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