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21 Commits
Author SHA1 Message Date
jungfrau a67e6b8e8e run 2026-10-01_v4-recipeA: gate_failed; comparison updated 2026-10-02 13:25:45 +02:00
Duan a9192406d3 yolo26s-seg-v3-s-640px-2026-10-01
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2026-10-02 10:47:39 +02:00
jungfrau 2956303ffe run 2026-09-29_v3-noflip-mask1: promoted; comparison updated
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2026-09-30 13:56:07 +02:00
jungfrauandClaude Fable 5.1 f1a945528e cluster runs on dataset v3: resolution and model-size levers
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Three ledger runs for the cluster, exported on dataset/2026-09-29_v3 with the
promoted recipe: nano at 1024 px, small at 640 px, small at 1024 px. A run can
now carry its own training arguments (train_args in run.json, set with
ledger new --kv), which train_run.py applies under any --set; train.sbatch
forwards extra arguments after the run id (e.g. --batch 8). yolo26s-seg.pt
joins the base weights under LFS. slurm/README lists the runs, the questions
they answer and the commands.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-30 07:18:06 +02:00
jungfrau d562b94671 run 2026-09-29_v3-recipeA: gate_passed; comparison updated 2026-09-29 23:42:41 +02:00
jungfrau 0ec5138409 all models re-measured on the 203-frame gold set; comparison on the unseen frames updated
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2026-09-29 18:00:50 +02:00
jungfrau 3d39d40560 run 2026-09-29_v2-recipeA: gate_failed; comparison updated
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2026-09-29 17:58:39 +02:00
jungfrau 0742281af0 baseline: yolo26n-seg-alc-v1-noflip-mask1-2026-09-29 re-measured on the gold set grown to 203 frames 2026-09-29 17:58:39 +02:00
jungfrau a6efca1c10 base weights yolo26n-seg.pt under LFS, so a cluster clone needs no download 2026-09-29 17:58:39 +02:00
jungfrau e7a02cd1ea run 2026-09-29_alc-v1-noflip-mask1: promoted (same detection as A, tightest masks); loop switches to it
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2026-09-29 11:13:44 +02:00
jungfrau 703bfc2e11 run 2026-09-29_alc-v1-noflip-mask1: gate_passed, comparison updated
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2026-09-29 10:37:36 +02:00
jungfrau 40dc9e54e3 run 2026-09-28_alc-v1-800px: gate_failed 2026-09-29 00:31:02 +02:00
jungfrau 13f4d6e3f7 run 2026-09-28_alc-v1-mask1: gate_failed 2026-09-28 23:54:53 +02:00
jungfrau e84bcfb658 run 2026-09-28_alc-v1-noflip: gate_passed 2026-09-28 21:30:31 +02:00
jungfrau ed208bff95 run 2026-09-28_alc-v1-humanonly: gate passed, not promoted (A/B on clean gold: masks no tighter without accepted-unchanged labels, crystal worse)
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2026-09-28 20:44:27 +02:00
jungfrau 7bfd799c26 run 2026-09-28_alc-v1: promoted by the gate after the mask-term fix (F1 +0.045, mask score 0.678 -> 0.710)
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2026-09-28 19:18:27 +02:00
jungfrau e8475684d4 run 2026-09-28_alc-v1: gate_failed (F1 +0.045, mask IoU -0.022 vs the deployed model)
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2026-09-28 19:08:07 +02:00
jungfrau 71ee34cd17 baseline: gold measure of the deployed yolo26n-seg-overlap-false-2026-04-12 2026-09-28 16:51:45 +02:00
GotthardGandClaude Fable 5.1 4698dbeaf9 training loop: run ledger, studio export importer with an image pool, train_run with gold gate and auto-promotion, SLURM template, CI
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Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
 2026-09-28 16:06:06 +02:00
duan_j 4fba05631e track base models with git lfs 2026-04-14 16:15:10 +02:00
duan_j 391c357c84 migration and splitting AareLC 2026-04-14 16:07:31 +02:00