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  =======================================================
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  EDDIE TRAINING STATUS — 2x T4 DDP (SPEED EXP)
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  =======================================================
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- Updated : 2026-09-14 04:47:46 UTC
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- Epoch : 2390
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- Train CE : 0.817192
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- Best CE : 0.812000
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  Cortex base : nan
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- U-loss (Huber): 0.109140
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- Total loss : 0.926333
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  -------------------------------------------------------
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  u target : excess (signed excess of p; ~0 = trust p)
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- excess mean : -0.0012 (p calibrated on avg if ~0)
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  u mean : -0.0413 (should track excess mean)
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- u corr : 0.0063 (Pearson u vs realized excess)
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  u R^2 : -0.0308 (>0 = beats constant)
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- u spread : +0.0002 (excess top-q u minus bottom-q u; want >0)
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- const Huber : 0.1111 (u useful if U-loss < this: YES)
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  -------------------------------------------------------
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- Speed : 371 samples/s | 1.4 min/epoch
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  Batch/GPU : 32 | GPUs: 2
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  Grad Accum : 8 | Eff BS: 512
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  Samples/ep : 32,000
 
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  =======================================================
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  EDDIE TRAINING STATUS — 2x T4 DDP (SPEED EXP)
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  =======================================================
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+ Updated : 2026-09-14 23:37:27 UTC
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+ Epoch : 2395
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+ Train CE : 0.816933
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+ Best CE : 0.811918
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  Cortex base : nan
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+ U-loss (Huber): 0.108982
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+ Total loss : 0.925915
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  -------------------------------------------------------
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  u target : excess (signed excess of p; ~0 = trust p)
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+ excess mean : -0.0021 (p calibrated on avg if ~0)
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  u mean : -0.0413 (should track excess mean)
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+ u corr : 0.0155 (Pearson u vs realized excess)
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  u R^2 : -0.0308 (>0 = beats constant)
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+ u spread : +0.0045 (excess top-q u minus bottom-q u; want >0)
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+ const Huber : 0.1114 (u useful if U-loss < this: YES)
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  -------------------------------------------------------
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+ Speed : 359 samples/s | 1.5 min/epoch
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  Batch/GPU : 32 | GPUs: 2
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  Grad Accum : 8 | Eff BS: 512
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  Samples/ep : 32,000