multi_perspective/adapter_metadata.json

{
  "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
}