myX-TransStyle-S2W is a specialized Sequence-to-Sequence (Seq2Seq) model developed by Khant Sint Heinn (Kalix Louis) under DatarrX. It is designed to transform colloquial Spoken Burmese (ပြောဟန်) into its formal Written Burmese (ရေးဟန်) counterpart while strictly preserving the original semantic meaning. — Developed by: Khant Sint Heinn (Kalix Louis) — Organization: DatarrX | ဒေတာ-အက်စ် — Model Architecture: Fine-tuned NLLB-200 (600M Distilled) with merged LoRA adapters — Language: Burmese (Myanmar) — Task: Text Style Transfer (Spoken → Written) — License: MIT — Trained on: Myanmar Written-Spoken Parallel Corpus (MWSPC) The model was trained using an efficient yet powerful adaptation strategy to handle the nuances of Myanmar grammar. We utilized 5,555 high-quality, unique parallel text pairs from the MWSPC dataset. This dataset provides a direct mapping between informal and formal structures, curated specifically to remove duplicates and ensure linguistic diversity. To capture complex structural transformations without losing the base model’s knowledge, we used Low-Rank Adaptation (LoRA): Target Modules: qproj, kproj, vproj, outproj. Rank (R): 32 | Alpha: 64. Learning Rate:**…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: DatarrX
Теги: m2m_100, text2text-generation, burmese, myanmar, myanmar-language, burmese-nlp, style-transfer, text-rewriting
Лайков: 4 | Загрузок: 19
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
