| # 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 | |