Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning
Research
NLP methods
Docs live
This paper introduces multilingual adaptive fine-tuning (MAFT) applied to 17 of the most-resourced African languages, producing the AfroXLMR family of models. Removing non-African-script tokens cuts model size by roughly 50 percent while matching the accuracy of single-language adaptation on named entity recognition, topic classification and sentiment analysis.
- Category
- Research
- Pricing
- Free / open
- Country
- 馃實 Pan-African
- Last verified
- 5 Jul 2026
Tags
nlp
african-languages
fine-tuning
language-models