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Training Summary — Step 44,219 / 50,000 (88.4%)

Metric Value
Progress 88.4% — ~5,780 steps to go
Train loss ~0.97—1.15 (fluctuating, LR is low at 0.22x)
Speed avg ~53,900 tok/s, ~1.21s/step
Runtime 14h 33m elapsed
ETA ~1h 54m remaining
GPU 99% util, 11.5GB VRAM, 65°C
Data epoch 1, pq:33 rg:4 (through 33 of 63 train files)
LR multiplier 0.22 (cosine decay nearing end)

Loss is hovering around 1.0 with some fluctuation — typical for the tail end of training when the LR has decayed to 22% and the model is navigating the remaining loss landscape. It should converge around ~0.85—0.90 val bpb by step 50k based on the previous run’s curve at similar loss levels.

ETA: ~2 hours to completion. Connect with tmux attach -t train to watch live.


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