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Omballa/dholuo-pos-afroxlmr-finetuned

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face

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Model Card

Dholuo POS Tagger (AfroXLM-R)

This model is a fine-tuned version of masakhane/luo-pos-tagger-afroxlmr trained on KenCorpus POS-tagged Dholuo data.

Evaluation Results

The model was evaluated on the KenCorpus Dholuo POS test set.

Metric	Value
Accuracy	0.7167
Macro F1	0.5338
Weighted F1	0.7248

Per-tag Performance (Test Set)

—Strong performance on NOUN (F1 ≈ 0.86) and VERB (F1 ≈ 0.84)
—Moderate performance on function words (ADP, PRON, DET)
—Rare tags (INTJ, PART, PUNCT) have near-zero scores due to very low support

Usage

python

from transformers import AutoTokenizer, AutoModelForTokenClassification

model = AutoModelForTokenClassification.from_pretrained(
    "Omballa/dholuo-pos-afroxlmr-finetuned"
)
tokenizer = AutoTokenizer.from_pretrained(
    "Omballa/dholuo-pos-afroxlmr-finetuned"
)