metinovadilet/kyrgyz-ner-xlmr

Kyrgyz NER XLM-R Base

This repository contains a fine-tuned XLM-R Base checkpoint for named entity recognition on native Kyrgyz news text.

Dataset

• Dataset: Kyrgyz NER
• Language: Kyrgyz (ky)

Model

• Base model: xlm-roberta-base
• Role: multilingual baseline/reference checkpoint
• Framework: Hugging Face Transformers

Reported Results

Metric	Score
Entity F1	0.5585
Precision	0.5523
Recall	0.5649

Training Summary

Setting	Value
Epochs	5
Batch size	128
Learning rate	2e-5
Training time	68.0 seconds

Notes

This is a multilingual reference checkpoint used for comparison with KyrgyzBERT and KyrgyzBERTv2. Stronger published XLM-R-style KyrgyzNER systems exist; this checkpoint is a local reference run.

Intended Use

This checkpoint is intended for baseline/reference evaluation for Kyrgyz named entity recognition. It is intended for research, reproducibility, and educational use by the Kyrgyz NLP community. It should not be used for high-stakes decisions or production deployment without separate validation for the target domain.

License and Usage

License metadata is set to other. The checkpoint is released for research and reproducibility. Downstream datasets and base models may have their own licenses or usage terms; users are responsible for following the corresponding dataset cards and upstream model licenses. The checkpoint is provided without warranty.