Helsinki-NLP Model Training

Overview

Train and fine-tune Helsinki-NLP OPUS-MT models for Chuukese-English translation. These models are specifically designed for translation tasks and perform better than general LLMs for low-resource languages like Chuukese.

Base Models:

• Helsinki-NLP/opus-mt-mul-en (Multilingual → English)
• Helsinki-NLP/opus-mt-en-mul (English → Multilingual)

Capabilities

• Fine-tuning: Adapt base models to Chuukese-specific data
• Bidirectional Training: Support for both Chuukese→English and English→Chuukese
• Training Data Preparation: Format dictionary and parallel corpus data
• Model Evaluation: BLEU, chrF scoring on test sets
• Local Deployment: Run models locally without API calls
• GPU/CPU Support: Automatic device detection and optimization