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Sequence-head variance study — ICH_ef04_A_baseline_b03-v2_seed42
Step 6's A_baseline beat EF03 on validation (0.9526 vs 0.9472) and lost on test
(0.9569 vs 0.9772). This study isolates why: the 12-epoch sequence-head val curve
swings ~0.06 on a flat loss, so "best val" selects the maximum of twelve noisy draws.
Sweeps learning rate x selection rule x seed, training only the sequence heads from frozen Step-6 embeddings (~3 min per run). The config is chosen on val-side stability — seed spread and val-curve swing — never on test.
scores/seed*/ hold Step-2-schema dumps for the chosen config, one directory per
seed, so Step 4 can be pointed at each in turn and the across-seed spread of the
FINAL metrics measured directly.
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