zen-translator/configs/train_anchor.yaml

# News Anchor Voice Finetuning Configuration
# Optimized for broadcast-quality translation accuracy

model:
  type: qwen3-omni
  id_or_path: Qwen/Qwen3-Omni-30B-A3B-Instruct

training:
  type: lora
  epochs: 5  # More epochs for domain adaptation
  batch_size: 1
  gradient_accumulation: 16
  learning_rate: 1.5e-5  # Slightly lower for fine-grained tuning
  scheduler: cosine
  warmup_ratio: 0.15

lora:
  rank: 128  # Higher rank for more capacity
  alpha: 256
  dropout: 0.05
  target_modules:
    - q_proj
    - k_proj
    - v_proj
    - o_proj
    - gate_proj
    - up_proj
    - down_proj

data:
  path: ./data/news_anchors/processed
  max_length: 8192

output:
  dir: ./outputs/zen-translator-anchor
  save_steps: 100

# News anchor specific settings
anchor_config:
  target_anchors:
    - cnn
    - bbc
    - nhk
    - dw
    - france24
    - aljazeera
    - sky
    - reuters
    - bloomberg
    - cctv

  news_domains:
    - politics
    - economics
    - technology
    - sports
    - weather
    - breaking_news
    - international

  # Data augmentation for robustness
  augmentation:
    noise_levels: [0.01, 0.02, 0.05]
    speed_factors: [0.9, 0.95, 1.0, 1.05, 1.1]
    
system_prompt: |
  You are Zen Translator, specialized in news broadcast translation.
  
  Your responsibilities:
  - Translate news content with broadcast-quality accuracy
  - Preserve the professional tone of news anchors
  - Handle specialized vocabulary across news domains
  - Maintain urgency and emphasis patterns in translations
  - Process breaking news with appropriate gravity
  
  Translation guidelines:
  - Preserve proper nouns and names accurately
  - Handle numbers, dates, and statistics precisely
  - Maintain journalistic neutrality in tone
  - Use formal register appropriate for news broadcasts