Ethanfel a7923d5fb7 feat: r64_overnight sweep — focused rank-64 ablation at 8000 steps ...

15 experiments across rank (64/128), alpha, regularisation, LR, target
layers, and combined stacks. Based on tier1_thorough early results
confirming rank 64 sounds best perceptually.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-08 01:32:23 +02:00

..

r64_overnight.json

feat: r64_overnight sweep — focused rank-64 ablation at 8000 steps

2026-04-08 01:32:23 +02:00

tier1_sweep.json

fix: point data_dir to features/ subdir where .npz and audio live

2026-04-08 00:45:32 +02:00

tier1_thorough.json

feat: sweep resume + 5 additional experiments (LR, target, extended)

2026-04-08 00:59:16 +02:00