XLM-RoBERTa Base for Hausa (xlm_roberta_base_finetuned_hausa)

Description

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

Specifically, this model is an xlm-roberta-base model that was fine-tuned on the Hausa corpus.

Predicted Entities

Live Demo Open in Colab Download Copy S3 URI

How to use

embeddings = XlmRoBertaEmbeddings.pretrained("xlm_roberta_base_finetuned_hausa", "ha") \
.setInputCols("sentence", "token") \
.setOutputCol("embeddings")

val embeddings = XlmRoBertaEmbeddings.pretrained("xlm_roberta_base_finetuned_hausa", "ha)
.setInputCols("sentence", "token")
.setOutputCol("embeddings")

import nlu
nlu.load("ha.embed.xlm_roberta").predict("""Put your text here.""")

Model Information

Data Source

https://huggingface.co/Davlan/xlm-roberta-base-finetuned-hausa

Benchmarking

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

Dataset| XLM-R F1 | ha_roberta F1
-|-|-
[MasakhaNER](https://github.com/masakhane-io/masakhane-ner) | 86.10 | 91.47
[VOA Hausa Textclass](https://huggingface.co/datasets/hausa_voa_topics) | |