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  EDDIE TRAINING STATUS — 2x T4 DDP (SPEED EXP)
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  Updated      : 2026-09-07 19:52:21 UTC
  Epoch        : 9050
  Train CE     : 0.808263
  Best CE      : 0.801314
  Cortex base  : 0.799489
  U-loss (Huber): 0.109483
  Total loss   : 0.917746
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  u target     : excess  (signed excess of p; ~0 = trust p)
  excess mean  : -0.0036   (p calibrated on avg if ~0)
  u mean       : -0.0395   (should track excess mean)
  u corr       : 0.0117   (Pearson u vs realized excess)
  u R^2        : -0.0225   (>0 = beats constant)
  u spread     : +0.0086   (excess top-q u minus bottom-q u; want >0)
  const Huber  : 0.1083   (u useful if U-loss < this: not yet)
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  Speed        : 374 samples/s  |  1.4 min/epoch
  Batch/GPU    : 32  |  GPUs: 2
  Grad Accum   : 8  |  Eff BS: 512
  Samples/ep   : 32,000
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  Architecture : CortexEDL
  Params       : 3,058,052
  Context      : 1024 bars  |  Features: 5
  Total windows: 501,051,135
  Note: no held-out validation split -- every training example
  is drawn without replacement from ~2.4B windows, so batches
  are effectively unseen data by construction.
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