training_metadata.json

{
  "model": "PhiForecasterGPU",
  "hidden_size": 256,
  "n_layers": 2,
  "pred_len": 10,
  "input_features": 36,
  "epochs": 100,
  "best_val_loss": 0.00019647799407331539,
  "train_sequences": 44800,
  "scenarios": [
    "stable_community",
    "capitalism_suppresses_love",
    "surveillance_state",
    "willful_ignorance",
    "recovery_arc",
    "sudden_crisis",
    "slow_decay",
    "random_walk"
  ],
  "scenarios_per_type": 50,
  "formula_version": "2.1-recovery-floors",
  "input_size": 36
}