language:
- ky
library_name: transformers
pipeline_tag: token-classification
base_model: xlm-roberta-base
tags:
- kyrgyz
- ky
- baseline
- xlm-r-base
- kyrgyz-ner
license: other
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.