2026-08-03

• 00:00 fetched 20260802-114517-pretrained_llm_gsm8k_grouped_reward_sweep_jean_zay-48f4f83
• 00:00 reported 20260802-114517-pretrained_llm_gsm8k_grouped_reward_sweep_jean_zay-48f4f83 in notes/experiments/pretrained_llm_gsm8k_grouped_reward_sweep_jean_zay.md
• 00:01 fetched and reported grouped GSM8K reward sweep 20260802-114517-pretrained_llm_gsm8k_grouped_reward_sweep_jean_zay-48f4f83; the grouped exact-answer reward path was stable, but plain EGGROLL was slightly ahead and decomposed EGGROLL showed no advantage
• 00:41 prepared two grouped GSM8K follow-up variants: separate decomposed direction/magnitude learning rates and tangent-projected decomposed direction perturbations, to test whether scale control or DoRA-manifold noise improves over plain EGGROLL
• 00:52 replaced the single two-timescale GSM8K job with a three-point decomposed magnitude-LR sweep so the result can distinguish direction-only, damped magnitude, and full magnitude updates
• 01:01 updated the grouped magnitude-LR sweep to drop 0.02 and test 0.01, 0.015, and 0.1, while keeping direction-only and low-magnitude anchors
• 01:07 reduced requested wall times for the magnitude-LR and tangent GSM8K follow-ups after checking the grouped XP runtime, which was about 16 minutes rather than hours
• 01:16 added wall_clock_seconds to GSM8K reward metrics and set both magnitude-LR and tangent follow-up jobs to 3h wall time before submission
• 01:18 submitted 20260803-011634-pretrained_llm_gsm8k_grouped_magnitude_lr_sweep_jean_zay-b650945 (job 543180 on jean-zay, commit b650945)
• 01:19 submitted 20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6 (job 543214 on jean-zay, commit afccaa6)
• 01:21 scheduled a cron wakeup at 2026-08-03T02:35Z to check, fetch, and report the two 3h Jean Zay GSM8K decomposed Eggroll follow-up sweeps
• 04:35 fetched 20260803-011634-pretrained_llm_gsm8k_grouped_magnitude_lr_sweep_jean_zay-b650945
• 04:35 fetched 20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6
• 04:35 reported 20260803-011634-pretrained_llm_gsm8k_grouped_magnitude_lr_sweep_jean_zay-b650945 in notes/experiments/pretrained_llm_gsm8k_grouped_magnitude_lr_sweep_jean_zay.md
• 04:35 reported 20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6 in notes/experiments/pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay.md
• 04:36 fetched and reported GSM8K decomposed follow-up sweeps 20260803-011634-pretrained_llm_gsm8k_grouped_magnitude_lr_sweep_jean_zay-b650945 and 20260803-011912-pretrained_llm_gsm8k_grouped_tangent_sweep_jean_zay-afccaa6; both were stable but did not show a decomposed EGGROLL advantage over plain EGGROLL
• 09:48 prepared a GSM8K scale diagnostic to check whether decomposed direction and magnitude learning rates create comparable effective update sizes before running another reward sweep
• 10:37 fixed the GSM8K scale diagnostic Jean Zay bootstrap quoting after the first submit attempt failed before scheduler submission while warming the dataset cache
• 10:39 raised the GSM8K scale diagnostic generation budget to 128 tokens so the reward batch is less likely to measure truncation rather than update-scale effects
• 10:40 raised the GSM8K scale diagnostic generation budget to 1024 tokens and increased the Jean Zay wall limit so truncation does not dominate the reward batch
• 10:43 submitted 20260803-104230-pretrained_llm_gsm8k_scale_diagnostic_jean_zay-cb7f7a9 (job 550837 on jean-zay, commit cb7f7a9)
• 10:44 submitted GSM8K scale diagnostic 20260803-104230-pretrained_llm_gsm8k_scale_diagnostic_jean_zay-cb7f7a9 on Jean Zay as job 550837 to measure decomposed direction and magnitude effective update scales with 1024-token generations
• 11:52 fetched 20260803-104230-pretrained_llm_gsm8k_scale_diagnostic_jean_zay-cb7f7a9
• 11:52 reported 20260803-104230-pretrained_llm_gsm8k_scale_diagnostic_jean_zay-cb7f7a9 in notes/experiments/pretrained_llm_gsm8k_scale_diagnostic_jean_zay.md
• 11:54 interpreted the GSM8K scale diagnostic as evidence that equal decomposed direction and magnitude learning rates under-scale the magnitude path relative to direction in effective weight space
• 12:03 prepared a scale-calibrated grouped GSM8K reward grid over decomposed direction and magnitude learning rates after the scale diagnostic showed equal raw LRs under-scale magnitude
• 12:19 submitted 20260803-121737-pretrained_llm_gsm8k_scale_grid_jean_zay-937ecc2 (job 553394 on jean-zay, commit 937ecc2)
• 12:19 submitted scale-calibrated grouped GSM8K reward grid 20260803-121737-pretrained_llm_gsm8k_scale_grid_jean_zay-937ecc2 on Jean Zay as job 553394 and scheduled a 3h30 wakeup to check it
• 15:49 fetched 20260803-121737-pretrained_llm_gsm8k_scale_grid_jean_zay-937ecc2
• 15:49 reported 20260803-121737-pretrained_llm_gsm8k_scale_grid_jean_zay-937ecc2 in notes/experiments/pretrained_llm_gsm8k_scale_grid_jean_zay.md
• 15:50 fetched and reported GSM8K scale grid run 20260803-121737-pretrained_llm_gsm8k_scale_grid_jean_zay-937ecc2; decomposed scale-calibrated grid slightly beat plain EGGROLL on sampled accuracy but greedy accuracy stayed tied, so the result is suggestive rather than decisive
• 16:14 submitted 20260803-161316-pretrained_llm_gsm8k_scale_confirm_jean_zay-ef04761 (job 557828 on jean-zay, commit ef04761)
• 16:14 submitted GSM8K scale confirmation run 20260803-161316-pretrained_llm_gsm8k_scale_confirm_jean_zay-ef04761 on Jean Zay as job 557828 to confirm whether the scale-calibrated decomposed GSM8K signal persists in a narrower direction/magnitude LR grid
• 16:32 submitted 20260803-163017-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-cc837af (job 558203 on jean-zay, commit cc837af)
• 16:32 submitted Qwen2.5-0.5B GSM8K scale smoke 20260803-163017-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-cc837af on Jean Zay as job 558203 to test whether a stronger small base model gives enough exact-answer reward density for ES comparisons
• 21:46 fetched 20260803-163017-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-cc837af
• 21:46 fetched Qwen2.5-0.5B GSM8K scale smoke run 20260803-163017-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-cc837af after Slurm reported OUT_OF_MEMORY; no metrics.json was produced, so there are no result numbers to report
• 22:15 fetched 20260803-161316-pretrained_llm_gsm8k_scale_confirm_jean_zay-ef04761
• 22:15 reported 20260803-161316-pretrained_llm_gsm8k_scale_confirm_jean_zay-ef04761 in notes/experiments/pretrained_llm_gsm8k_scale_confirm_jean_zay.md
• 22:15 fetched and reported GSM8K scale confirmation run 20260803-161316-pretrained_llm_gsm8k_scale_confirm_jean_zay-ef04761 after Jean Zay job 557828 completed; read metrics before interpreting the narrow scale-calibrated grid.
• 23:48 submitted 20260803-234737-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-ddff3bd (job 563143 on jean-zay, commit ddff3bd)
• 23:48 submitted Qwen2.5-0.5B GSM8K scale smoke retry 20260803-234737-pretrained_llm_gsm8k_qwen05_scale_smoke_jean_zay-ddff3bd on Jean Zay as job 563143 using the official H100 gpu_p6 CPU memory allocation of 24 cpus per task