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
YAML Metadata Warning:The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
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
Benchmark Results
Evaluated on 100-example custom GEC test (pure model inference, no pre/post pipeline).
| Category | Score |
|---|---|
| Орфография (емле) | 0/30 (0%) |
| Грамматика | 2/20 (10%) |
| Пунктуация | 0/15 (0%) |
| Смешанный | 0/20 (0%) |
| Identity preservation | 3/15 (20%) |
| Total | 5/100 (5%) |
Leaderboard (100-example custom benchmark)
| Модель | Total | Емле/30 | Грамм/20 | Пункт/15 | Смеш/20 | Ident/15 |
|---|---|---|---|---|---|---|
| sozkz-core-llama-600m-kk-gec-v1 | 47% | 15 | 12 | 3 | 2 | 15/15 |
| sozkz-fix-qwen-500m-kk-gec-v3 | 38% | 0 | 16 | 9 | 0 | 13/15 |
| sozkz-core-llama-300m-kk-gec-v4 | 37% | 9 | 6 | 4 | 3 | 15/15 |
| sozkz-fix-qwen-500m-kk-gec-v1 | 35% | 0 | 12 | 8 | 0 | 15/15 |
| sozkz-fix-qwen-500m-kk-gec-v2 | 30% | 0 | 11 | 7 | 0 | 12/15 |
| sozkz-core-llama-1b-kk-gec-v1 | 16% | 2 | 6 | 1 | 0 | 7/15 |
| sozkz-fix-qwen-500m-kk-gec-v4 | 5% | 0 | 1 | 4 | 0 | 0/15 |
| sozkz-fix-mt5b-kk-gec-run13-v1 | 5% | 0 | 2 | 0 | 0 | 3/15 |
| sozkz-nllb-1b-kk-gec-v1 | 1% | 0 | 1 | 0 | 0 | 0/15 |
| sozkz-nllb-1b-kk-pretrain-v1 | 1% | 0 | 1 | 0 | 0 | 0/15 |
| sozkz-core-llama-300m-kk-gec-v3 | 1% | 0 | 1 | 0 | 0 | 0/15 |
| sozkz-core-llama-300m-kk-gec-v1/v2a/v2b | 0–1% | 0 | 0 | 0 | 0 | 0–1 |
| sozkz-fix-mt5-50m-kk-gec-v1 | 0% | 0 | 0 | 0 | 0 | 0/15 |
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