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Afro Xlmr Base

Developed by Davlan
AfroXLMR-base is a multilingual model created by adapting XLM-R-base through masked language modeling on 17 African languages and 3 high-resource languages.
Downloads 688
Release Time : 4/12/2022

Model Overview

This model is optimized for major African language families, supporting multiple African and high-resource languages, suitable for natural language processing tasks.

Model Features

Multilingual Support
Supports 17 African languages and 3 high-resource languages, covering major African language families.
Optimized Performance
Outperforms the base XLM-R model on tasks such as MasakhaNER.
Vocabulary Optimization
Removes vocabulary tokens corresponding to non-African writing scripts, reducing model size by approximately 50%.

Model Capabilities

Named Entity Recognition
News Topic Classification
Sentiment Classification
Cross-lingual Transfer Learning

Use Cases

Natural Language Processing
Named Entity Recognition for African Languages
Performs named entity recognition tasks on the MasakhaNER dataset.
Achieves F1 scores exceeding 90 in languages such as Hausa.
Cross-lingual News Classification
Classifies news texts in African languages.
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