Kyrgyz MRPC mBERT
This repository contains a fine-tuned mBERT checkpoint for Kyrgyz paraphrase detection.
Dataset
- Dataset: Kyrgyz MRPC
- Language: Kyrgyz (
ky)
Model
- Base model:
bert-base-multilingual-cased - Role: multilingual baseline/reference checkpoint
- Framework: Hugging Face Transformers
Reported Results
| Metric | Score |
|---|---|
| F1 | 0.8134 |
| Accuracy | 0.7472 |
Training Summary
| Setting | Value |
|---|---|
| Epochs | 3 |
| Batch size | 64 |
| Learning rate | 2e-5 |
| Training time | 11.9 seconds |
Notes
This is a multilingual reference checkpoint for the Kyrgyz MRPC task.
Intended Use
This checkpoint is intended for baseline/reference evaluation for Kyrgyz paraphrase detection. 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.
- Downloads last month
- 6
Model tree for metinovadilet/kyrgyz-mrpc-mbert
Base model
google-bert/bert-base-multilingual-cased