Training Health Snapshot | Generated by AI
Looking healthy — training is alive and well. Status snapshot:
| Process | PID 1200744, running 1m34s, 88% CPU, alive |
| GPU | 7.5 / 12.3 GB VRAM (~4.8 GB headroom), 100% util, 64°C |
| Params | 123.59 M ✓ (matches GPT-2 124M) |
| Optimizer | fused AdamW ✓ |
| Shards | train=1407, val=1 ✓ |
| Step 0 eval | train loss 11.0040, val loss 11.0031 ✓ (matches ln(50304) ≈ 10.83) |
| iter 0 | 17.16 s (includes warmup; subsequent iters drop to ~11 s) |
| Last log write | 75 s ago — we’re mid-iter, no print yet |
Why no recent log line? log_interval=20, so the next print is at iter 20. At ~11 s/iter that’s ~220 s into the run (~3.5 min from process start) — should appear in the next minute or two.
Nothing to do. Everything is healthy. Check back in ~5 min to see the first iter 20: line and confirm steady-state per-iter time.