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authorYurenHao0426 <blackhao0426@gmail.com>2026-06-13 12:35:36 -0500
committerYurenHao0426 <blackhao0426@gmail.com>2026-06-13 12:35:36 -0500
commit66e0d8b9fd4d0f7a2231d689c055e26fdf1cf04a (patch)
treec29cba61124018755a19b02c9d33e3ad5f2e05cc /research/flossing/late_perturb_robustness/smoke_baseline_fastclean.meta.json
rrm workspace: TRM/HRM/SRM code, Maze dataset, dynamical-analysis pipelineHEADmain
Curated export for clone-and-run Maze training (2x A6000) + diagnostics. trm/hrm pretrain.py carry trajectory-augmentation code (backward-compatible). Heavy artifacts (checkpoints/wandb/npz) gitignored; see PROVENANCE.md. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+++ b/research/flossing/late_perturb_robustness/smoke_baseline_fastclean.meta.json
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+{
+ "args": {
+ "batch_size": 8,
+ "ckpt_name": "step_58590",
+ "ckpt_root": "/home/yurenh2/rrm/trm/checkpoints/Sudoku-extreme-1k-aug-1000-ACT-torch/pretrain_mlp_t_sudoku_official_gbs768_repro",
+ "label": "smoke_baseline_fastclean",
+ "n_samples": 16,
+ "noise_distribution": "gaussian",
+ "out_prefix": "research/flossing/late_perturb_robustness/smoke_baseline_fastclean",
+ "perturb": "both",
+ "perturb_afters": "0,8",
+ "rollouts": 2,
+ "seed": 20260606,
+ "sigmas": "0,0.01"
+ },
+ "config_global_batch_size": 768,
+ "data_path": "/home/yurenh2/rrm/data/sudoku-extreme-1k-aug-1000",
+ "n_samples": 16,
+ "perturb_afters": [
+ 0,
+ 8
+ ],
+ "sigmas": [
+ 0.0,
+ 0.01
+ ]
+} \ No newline at end of file