Model card error

There’s an error in the yaml metadata in this model card. If you’re the model author, please log in to check the list of errors and warnings.

xlm-roberta-base-finetuned-luo

Model description

xlm-roberta-base-finetuned-luo is a Luo RoBERTa model obtained by fine-tuning xlm-roberta-base model on Luo language texts. It provides better performance than the XLM-RoBERTa on named entity recognition datasets.

Specifically, this model is a xlm-roberta-base model that was fine-tuned on Luo corpus.

Intended uses & limitations

How to use

You can use this model with Transformers pipeline for masked token prediction.

>>> from transformers import pipeline
>>> unmasker = pipeline('fill-mask', model='Davlan/xlm-roberta-base-finetuned-luo')
>>> unmasker("Obila ma Changamwe <mask> pedho achije angwen mag njore")


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 JW300

Training procedure

This model was trained on a single NVIDIA V100 GPU

Eval results on Test set (F-score, average over 5 runs)

Dataset XLM-R F1 luo_roberta F1
MasakhaNER 74.86 75.27

BibTeX entry and citation info

By David Adelani


Downloads last month
0
Hosted inference API
Mask token: <mask>
This model can be loaded on the Inference API on-demand.