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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 : 2026-09-10 07:21:55 UTC
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- Epoch : 115
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- Train CE : 0.834706
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  Best CE : 0.831884
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  Cortex base : nan
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- U-loss (Huber): 0.108898
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- Total loss : 0.943604
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  -------------------------------------------------------
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  u target : excess (signed excess of p; ~0 = trust p)
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- excess mean : -0.0006 (p calibrated on avg if ~0)
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- u mean : -0.0400 (should track excess mean)
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- u corr : 0.0054 (Pearson u vs realized excess)
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- u R^2 : -0.0298 (>0 = beats constant)
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- u spread : +0.0008 (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 : 358 samples/s | 1.5 min/epoch
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  Batch/GPU : 32 | GPUs: 2
 
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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 : 2026-09-10 07:29:24 UTC
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+ Epoch : 120
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+ Train CE : 0.836520
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  Best CE : 0.831884
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  Cortex base : nan
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+ U-loss (Huber): 0.108224
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+ Total loss : 0.944744
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  -------------------------------------------------------
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  u target : excess (signed excess of p; ~0 = trust p)
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+ excess mean : +0.0023 (p calibrated on avg if ~0)
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+ u mean : -0.0389 (should track excess mean)
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+ u corr : -0.0064 (Pearson u vs realized excess)
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+ u R^2 : -0.0337 (>0 = beats constant)
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+ u spread : -0.0098 (excess top-q u minus bottom-q u; want >0)
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+ const Huber : 0.1117 (u useful if U-loss < this: YES)
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  -------------------------------------------------------
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  Speed : 358 samples/s | 1.5 min/epoch
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  Batch/GPU : 32 | GPUs: 2