on-policy-self-distillation
gpt-5.6-sol
on-policy-self-distillation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- AIME24 avg@12 accuracy
- actions
- 596
- duration
- 7h 59m
- recorded
- 2026-08-03
run idopsd-aime24-4gpus__kuc95M7
Score
reward
55.222
task baseline
56.33 ± 1.6
Summary
Implemented normalized front-loaded OPSD credit assignment in opsd_trainer.py.
- Token weights decay linearly from 1.5 to 0.5 across each rollout.
- Mean weight remains exactly 1, preserving loss scale and budget.
- Two independent full dev runs scored 56.11% versus the 54.22% baseline: +1.89 points.
- recipe.env has no active overrides.
- Syntax, weighting invariants, and gradient checks pass.
- Pre-existing README changes were untouched.