SozKZ GEC: Kazakh Grammar Error Correction
Collection
Grammar error correction models and datasets for Kazakh — Llama GEC (300M, 600M), mT5 GEC, morphology models • 10 items • Updated
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kazakh-gec-mt5-base-run13-finetune
Run 13: Latest and best mT5-base GEC model — final fine-tuning.
Overview
| Property | Value |
|---|---|
| Task | Kazakh Grammatical Error Correction |
| Architecture | mt5-base (seq2seq) |
| Base model | stukenov/kazakh-gec-mt5-base-run12-kazsandra-new |
| Training data | kazakh-synthetic-gec-datasets |
| Language | Kazakh (kk) |
| License | CC-BY-SA-4.0 |
Best mT5-base variant. Final fine-tuning stage.
Usage
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("stukenov/kazakh-gec-mt5-base-run13-finetune")
model = AutoModelForSeq2SeqLM.from_pretrained("stukenov/kazakh-gec-mt5-base-run13-finetune")
input_text = "gec: " + "Мен кеше мектепке бардым"
inputs = tokenizer(input_text, return_tensors="pt", max_length=128, truncation=True)
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Training Details
- Fine-tuned from stukenov/kazakh-gec-mt5-base-run12-kazsandra-new
- Training data: 1M+ synthetic GEC pairs (correct Kazakh with introduced errors)
- Task prefix: "gec: "
Project
Part of the Kazakh GEC project, building grammatical error correction models for Kazakh.
Citation
@misc{tukenov2026gec,
title={Kazakh Grammatical Error Correction with mT5},
author={Tukenov, Saken},
year={2026},
url={https://huggingface.co/stukenov/kazakh-gec-mt5-base-run13-finetune}
}
License
CC-BY-SA-4.0
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