Swahili News Classification with BERT

This model was trained using HuggingFace's Flax framework and is part of the JAX/Flax Community Week organized by HuggingFace. All training was done on a TPUv3-8 VM sponsored by the Google Cloud team.

This model was used as the base and fine-tuned for this task.

How to use

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("flax-community/bert-swahili-news-classification")

model = AutoModelForSequenceClassification.from_pretrained("flax-community/bert-swahili-news-classification")
Eval metrics (10% valid set): {'accuracy': 0.9114740008594757}
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Text Classification
This model can be loaded on the Inference API on-demand.

Dataset used to train flax-community/bert-swahili-news-classification