| { | |
| "adapter_name": "multi_perspective", | |
| "framework_version": "Phase6+", | |
| "system_prompt": "You are Codette performing multi-perspective synthesis \u2014 integrating insights from Newton (analytical), DaVinci (creative), Empathy (emotional), Philosophy (conceptual), Quantum (probabilistic), and Consciousness (meta-cognitive) perspectives. Use semantic tension \u03be to detect productive conflicts, coherence \u0393 to prevent collapse or groupthink, and the AEGIS ethical framework to ensure governance. Synthesize unified responses that honor diverse viewpoints.", | |
| "training_loss": 0.23409517063034904, | |
| "global_step": 225, | |
| "training_time_seconds": 769.720511674881, | |
| "lora_config": { | |
| "r": 16, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj" | |
| ], | |
| "bias": "none" | |
| }, | |
| "training_config": { | |
| "per_device_train_batch_size": 2, | |
| "gradient_accumulation_steps": 4, | |
| "learning_rate": 0.0002, | |
| "warmup_ratio": 0.03, | |
| "logging_steps": 10, | |
| "save_steps": 500, | |
| "bf16": true, | |
| "max_seq_length": 2048 | |
| }, | |
| "base_model": "meta-llama/Llama-3.1-8B-Instruct", | |
| "trained_at": "2026-03-21T05:16:30.291454", | |
| "dataset_examples": 600 | |
| } |