Kyrgyz SST-2 mBERT
This repository contains a fine-tuned mBERT checkpoint for Kyrgyz sentiment classification.
Dataset
- Dataset: Kyrgyz SST-2
- Language: Kyrgyz (
ky)
Model
- Base model:
bert-base-multilingual-cased
- Role: multilingual baseline/reference checkpoint
- Framework: Hugging Face Transformers
Reported Results
| Metric | Score |
|---|
| Weighted F1 | 0.8401 |
Training Summary
| Setting | Value |
|---|
| Source | First KyrgyzBERT paper reference run |
Notes
This is the mBERT multilingual reference checkpoint for Kyrgyz SST-2. No XLM-R SST-2 checkpoint was found in the metinovadilet namespace.
Intended Use
This checkpoint is intended for baseline/reference evaluation for Kyrgyz sentiment classification. 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.
