Ethanfel 786a57c424 feat: sweep resume + 5 additional experiments (LR, target, extended) ...

Scheduler: on re-run, reads existing experiment_summary.json and skips
already-completed experiments — safe to stop and restart mid-sweep.

tier1_thorough: adds g5 (lr 3e-5/3e-4), g6 (full target attn.qkv+linear1
at r16 and r64), and g4_full_r64_6k (6000-step extended run) — 17 total.

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

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

..

__init__.py

feat: add SelVA Dataset Browser node

2026-04-07 14:55:27 +02:00

selva_dataset_browser.py

feat: thorough overnight sweep + dataset browser updates

2026-04-08 00:38:19 +02:00

selva_feature_extractor.py

fix: set OUTPUT_NODE=True on SelVA Feature Extractor so it runs without connected outputs

2026-04-06 00:11:16 +02:00

selva_lora_loader.py

debug: print lora_A norm after loading to confirm adapter applied

2026-04-05 23:05:23 +02:00

selva_lora_scheduler.py

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

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

selva_lora_trainer.py

fix: eval samples use fixed clip/seed, save to samples/ subfolder

2026-04-08 00:54:37 +02:00

selva_model_loader.py

feat: comprehensive node improvements

2026-04-04 18:16:03 +02:00

selva_sampler.py

fix: guarantee offload cleanup on exception with try/finally

2026-04-05 08:40:39 +02:00

utils.py

chore: remove all PrismAudio code from main branch

2026-04-04 17:58:31 +02:00