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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/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv
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>
Diffstat (limited to 'research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv')
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diff --git a/research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv b/research/flossing/report_bundle_20260603/tables/hrm_multi4_complete_eval.csv
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+run,step,exact,accuracy,loss
+hrm_multi4,2604,0.0123774204403162,0.6303551197052002,0.8603715300559998
+hrm_multi4,5208,0.025012653321027756,0.6685170531272888,0.7412638068199158
+hrm_multi4,7812,0.04651052877306938,0.687346339225769,0.7044885158538818
+hrm_multi4,10416,0.2006617933511734,0.7243355512619019,0.6340938210487366
+hrm_multi4,13020,0.34697696566581726,0.7794705033302307,0.49915269017219543
+hrm_multi4,15624,0.4653252363204956,0.8156101703643799,0.42743897438049316
+hrm_multi4,18228,0.5790873169898987,0.8494690656661987,0.3459467887878418
+hrm_multi4,20832,0.6393187,0.8660642,0.3186217
+hrm_multi4,23436,0.6443189,0.8684137,0.30427682
+hrm_multi4,26040,0.46235448,0.80298746,0.603943