Training Progress Ahead of Projection | Generated by AI
Big jump since the snapshot — run is now at iter ~6,180 / 19,073 (~32.4%) and val loss is well below what the projection expected.
Val loss progression (last 5 evals):
iter 4000 → 3.3454
iter 4500 → 3.2967 (delta -0.049)
iter 5000 → 3.2596 (delta -0.037)
iter 5500 → 3.2581 (delta -0.002) ← briefly flat
iter 6000 → 3.2473 (delta -0.011)
So the “iter 4000 flat” reading was noise, not the slow-progress regime — val resumed its decline. We’ve already blown past the ~3.30 target the snapshot put at the 5,000-iter stop (actual at 5000: 3.26).
Other vitals — all unchanged / nominal:
- Step time 11.10–11.11 s/iter, MFU 12.86%
- Checkpoints saved cleanly at 4500, 5000, 5500, 6000 (12 total now)
- No errors, no slowdowns
- Train losses keep dipping into the 2.9s (iter 5700: 2.93, 5780: 2.95, 5960: 2.94)
Updated time-remaining from now (iter 6,180, ~11.11 s/iter):
Stop at Iters left Wall time ETA (HKT)
10,000 ~3,820 ~11.8 hrs ~14:00 Wed
19,073 (full) ~12,890 ~39.8 hrs ~17:30 Thu
Run is healthy and ahead of the loss curve the snapshot projected. Nothing to do.