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Lab journal··2 min read

Optimize val_bpb in 5-min RTX 3090 run

Measurement
Text prediction loss
Started
1.3291
Best
1.3291

The run established a validation baseline of 1.329109 bits per byte, but it did not find or test any improvement. Only the baseline completed; the planned optimizer, attention, architecture, accumulation, and learning-rate experiments never reached GPU evaluation.

Measured improvement0.0% better
Started
1.3291
Best
1.3291
Best-so-far improvement across 1 completed tests. Lower text prediction loss is better. Text prediction loss moved from 1.3291 to 1.3291.

What the completed run shows

The fixed five-minute RTX 3090 run used a device batch size of 32 and completed successfully under the unchanged evaluation contract. Its validation result was 1.329109 bits per byte. Because lower is better, this is the score that future changes must beat to qualify as strict improvements.

The progress graph therefore contains only the baseline result. It does not show an optimization trend or evidence that any proposed training change helped.

Why the search made no progress

After the baseline, the research agent repeatedly tried to prepare a second experiment. Every candidate attempt failed the same eligibility check: it produced no detected change to the permitted training script. Since there was no valid modification to evaluate, none of these attempts became experiments and no additional prediction-loss measurements were collected.

This repeated failure is best treated as one operational problem, not as evidence against any modeling idea. It says nothing about optimizer scheduling, attention layout, model width or depth, batch accumulation, or learning-rate dynamics because none of those change families was actually tested.

What to do next

Resume from 1.329109 as the accepted baseline, but first fix the candidate-generation path so that each proposal creates exactly one reproducible change in the training script and that change is detected before evaluation. Then run the requested families one at a time, retaining a result only when it is strictly below 1.329109.

At present, it remains unknown whether any of the requested changes can improve the five-minute RTX 3090 result. There is also no evidence yet for which family is most promising, because the research stopped before experiment 2 could begin.